Browsing by Author "Mukesh Kumar"

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A case of post bee sting encephalitis
(2006) Suresh Venkata Satya Attili; I.S. Gambhir; P. Suba Rao; Mukesh Kumar; Himanshu Mehata; Ajay Gogia; S.H.K. Raju
Bee Sting in most of the situations is potentially serious. The spectrum of bee sting disease ranges from mild local reaction to death. The literature regarding the bee sting disease from India is sparse. The rare manifestations of the disease include encephalitis, polyneuritis, myocardial infarction, pulmonary edema, bleeding manifestations and renal failure. Here we are reporting a rare case of encephalitis developing 3 days following the bee sting.
A note on transformations on auxiliary variable in survey sampling
(2011) Rajesh Sing; Mukesh Kumar
In this note, we address the doubts of Singh [12] and Gupta and Shabbir [1] on the transformations of auxiliary variables by adding unit free constants. The original contribution by Sisodia and Dwivedi [15] is correct. © 2011 - IOS Press and the authors. All rights reserved.
A study of cryosurgery of lung cancer using Modified Legendre wavelet Galerkin method
(Elsevier Ltd, 2018) Mukesh Kumar; Subrahamanyam Upadhyay; K.N. Rai
In this paper, we have developed a new mathematical model describing bio-heat transfer during cryosurgery of lung cancer. The lung tissue cooled by a flat probe whose temperature decreases linearly with time. The freezing process occurs in three stages and the whole region is divided into solid, mushy and liquid region. The heat released in the mushy region is considered as discontinuous heat generation. The model is an initial-boundary value problem of the hyperbolic partial differential equation in stage 1 and moving boundary value problem of parabolic partial differential equations in stage 2 and 3. The method of the solution consists of four-step procedure as transformation of problem in dimensionless form, the problem of hyperbolic partial differential equation converted into ordinary matrix differential equation and the moving boundary problem of parabolic partial differential equations converted into moving boundary problem of ordinary matrix differential equations by using finite differences in space, transferring the problem into the generalized system of Sylvester equations by using Legendre wavelet Galerkin method and the solution of the generalized system of Sylvester equation are solved by using Bartels-Stewart algorithm of generalized inverse. The whole analysis is presented in dimensionless form. The effect of cryoprobe rate on temperature distribution and the effect of Stefan number on moving layer thickness is discussed in detail. © 2018 Elsevier Ltd
A study of heat transfer during cryosurgery of lung cancer
(Elsevier Ltd, 2019) Mukesh Kumar; Subrahamanyam Upadhyay; K.N. Rai
In this study, a mathematical model describing two-dimensional bio-heat transfer during cryosurgery of lung cancer is developed. The lung tissue is cooled by a cryoprobe by imposing its surface at a constant temperature or a constant heat flux or a constant heat transfer coefficient. The freezing starts and the domain is distributed into three stages namely: unfrozen, mushy and frozen regions. In stage I where the only unfrozen region is formed, our problem is an initial-boundary value problem of the hyperbolic partial differential equation. In stage II where mushy and unfrozen regions are formed, our problem is a moving boundary value problem of parabolic partial differential equations and in stage III where frozen, mushy, and unfrozen regions are formed, our problem is a moving boundary value problem of parabolic partial differential equations. The solution consists of the three-step procedure: (i) transformation of problem in non-dimensional form, (ii) by using finite differences, the problem converted into ordinary matrix differential equation and moving boundary problem of ordinary matrix differential equations, (iii) applying Legendre wavelet Galerkin method the problem is transferred into the generalized system of Sylvester equations which are solved by applying Bartels-Stewart algorithm of generalized inverse. The complete analysis is presented in the non-dimensional form. The consequence of the imposition of boundary conditions on moving layer thickness and temperature distribution are studied in detail. The consequence of Stefan number, Kirchoff number and Biot number on moving layer thickness are also studied in specific. © 2019 Elsevier Ltd
Acanthamoebae presenting as primary meningoencephalitis in AIDS
(2007) Mukesh Kumar; Ragini Jain; K. Tripathi; Ravi Tandon; A.K. Gulati; Atul Garg; Jaya Gart
A rare case of Acanthamoebae meningoencephalitis is diagnosed in cerebrospinal fluid (CSF) of a 24 years old male suffering from acquired immunodeficiency syndrome (AIDS) patient on the basis of bright field microscopy and culture growth on non-nutrient agar with Escherichia coli. This case illustrates that Acanthamoebae should be considered in the differential diagnosis of meningoencephalitis in AIDS in addition to tuberculosis and cryptococcus infection in tropical areas.
An AcOH-mediated metal free approach towards the synthesis of bis-carbolines and imidazopyridoindole derivatives and assessment of their photophysical properties
(Royal Society of Chemistry, 2019) Dharmender Singh; Shubham Sharma; Mukesh Kumar; Inderpreet Kaur; Ravi Shankar; Satyendra Kumar Pandey; Virender Singh
An AcOH-mediated concise, atom-economical and environmentally sustainable tandem strategy has been formulated to access highly fluorescent (Φ F up to 40%) N-fused bis-carbolines, imidazopyrido[3,4-b]indoles and imidazo[1,5-a]pyridines via the formation of three C-N bonds in a single operation. The multicomponent character of the reaction, easy to execute reaction conditions, simple purification procedure and excellent light emitting properties of the product afforded thereof provide a huge scope. © 2019 The Royal Society of Chemistry.
Antibiotic prescribing knowledge, awareness, and attitude of dental surgeons practicing in the urban Indian population
(Wolters Kluwer Medknow Publications, 2021) Rathi Rela; Aarti Sejao; Ankita Singh; Prabhat Singh; Mukesh Kumar; Shweta Gupta; Priyadarshini Rangari
Background: Studies have reported that dental procedures may serve as a portal of entry for bacteria into the blood circulation, commonly termed as bacteremia which may inhabitate the heart and joints subjected to repair and replacement by prosthesis and may lead to complications in immunocompromised patients. Dental procedure may play a pivotal role in the development of infective endocarditis and infection around the prosthetic joint. Antibiotic use is suggested for all dental procedures requiring gingival manipulation or of the periapical region of teeth or mucosal incision in these patients. Objective: The present study has been conducted to inspect the antibiotic prescribing practices of general dentists among 250 dental practitioners. Methods: The study was conducted on 250 dental surgeons practicing in the urban Indian population of various parts of the country. A validated questionnaire was developed by a multidisciplinary dental and medical team and was circulated on the subject of the basic knowledge and awareness about antibiotic prophylaxis in susceptible patients. The data from the participants were collected, collated, and statistically analyzed. Results: The present study comprised 250 dental surgeons; 178 out of 250 were male, whereas 72 were female. Antibiotic prophylaxis guidelines were followed by 169 practitioners (67.60%), whereas 81 (32.40%) dentists did not follow any guidelines. Out of 169, 67 followed the American Academy of Orthopaedic Surgeons (AAOS) guidelines (39.64%), 58 followed American Heart Association (AHA) guidelines (34.30%), whereas 44 followed general physician's guidelines (26.03%). On screening the underlying conditions for which antibiotic cover was prescribed, it was shown that majority of the dental surgeons did the same for patients with cardiac valve repair or replacement (230; 92%), followed by infective endocarditis (212; 84.80%); organ transplant (212; 84.405); diabetes (189; 75.60%); prosthetic joint replacement (150; 60%); and congenital heart defect (110; 44%). Conclusion: Patients should then be trained to perform meticulous oral hygiene and advised to schedule regular dental checkups to maintain optimal dental health. Dentists should use antibiotic prophylaxis in only conditions associated with a valid scientific basis and should follow the standard protocols recommended by the American Dental Association, AHA, or AAOS. © 2021 Journal of Pharmacy and Bioallied Sciences. All rights reserved.
Assessment of genetic diversity in common bean (Phaseolus vulgaris L.) germplasm using amplified fragment length polymorphism (AFLP)
(2008) Vipin Kumar; Shailendra Sharma; Shubham Kero; Shiveta Sharma; Amit K. Sharma; Mukesh Kumar; K. Venkataramana Bhat
AFLP technique was applied to assess genetic diversity among 44 common bean accessions that included 6 exotic accessions, 15 Indian land races and 23 released varieties. Eight AFLP primer pairs were used that produced 820 products of which 698 were polymorphic (85.12%). Wide variations were observed among all the accessions for the number of amplification products, percent polymorphism and average polymorphism information content (PIC). The Jaccard's similarity indices (J) based on the AFLP profiles were subjected to UPGMA cluster analysis. The dendrogram generated revealed seven major groups. Seventeen out of 23 released varieties were restricted to clusters VI and VII. The value of r = 0.934 in Mantel's test for cophenetic corrlelation applied to the cluster analysis indicated the high fitness of the accessions to a group. The germplasm used in the present study had narrow genetic base, although moderate to high genetic diversity was observed. The details of diversity analysis and the potential use of Indian common bean accessions in common bean breeding programme are provided in the present study. © 2008 Elsevier B.V. All rights reserved.
Bayesian competing risk analysis: An application to nasopharyngeal carcinoma patients data
(John Wiley and Sons Inc, 2021) Rakesh Kumar Saroj; K. Narasimha Murthy; Mukesh Kumar; Atanu Bhattacharjee; Kamalesh Kumar Patel
Background: The Cox proportional hazard (CPH) model is normally used to study the death event data. The presence of competing risk (CR) is often encountered in health data, hence it becomes difficult to manage time to event data in clinical study. Bayesian approach is considered to manage the CR events in clinical data. Objectives: The objective of study is to find the predictors associated with overall survival of nasopharyngeal carcinoma (NPC) patients. Further, our purpose is to use a Bayesian model that can analyze time to event data in the presence of CR. Methods: Total 245 patients with NPC were taken (https://www.ncbi.nlm.nih.gov/geo/). The sociodemographic and clinical variables were considered for analysis purposes. R software and openBUGS were used to overcome the computational problems of CPH and Bayesian models. The Markov chain Monte Carlo (MCMC) method was used to compute the regression coefficients of Bayesian model. Results: The study shows that among NPC patients, the covariates chemotherapy, smoking, N-stage, and tumor site are associated with the higher risk for the deaths occurring in the cancer patients. The posterior mean estimates of proposed Bayesian model for significant factors have been obtained. The posterior mean and standard deviation estimates help to improve the survival of patients in the presence of CR. Conclusions: It is very difficult to use the CR model with Bayesian approach in health research for nonstatistical researcher due to lack of information. This paper is dedicated to the application of Bayesian approach for CR analysis on NPC data. © 2020 The Authors. Computational and Systems Oncology published by Wiley Periodicals LLC.
CEPC Technical Design Report: Accelerator
(Springer, 2024) Waleed Abdallah; Tiago Carlos Adorno de Freitas; Konstantin Afanaciev; Shakeel Ahmad; Ijaz Ahmed; Xiaocong Ai; Abid Aleem; Wolfgang Altmannshofer; Fabio Alves; Weiming An; Rui An; Daniele Paolo Anderle; Stefan Antusch; Yasuo Arai; Andrej Arbuzov; Abdesslam Arhrib; Mustafa Ashry; Sha Bai; Yu Bai; Yang Bai; Vipul Bairathi; Csaba Balazs; Philip Bambade; Yong Ban; Tripamo Bandyopadhyay; Shau-Shan Bao; Desmond P. Barber; Ayse Bat; Varvara Batozskaya; Subash Chandra Behera; Alexander Belyaev; Michele Bertucci; Xiao-Jun Bi; Yuanjie Bi; Tianjian Bian; Fabrizio Bianchi; Thomas Biekötter; Michela Biglietti; Shalva Bilanishvili; Deng Binglin; Denis Bodrov; Anton Bogomyagkov; Serge Bondarenko; Stewart Boogert; Maarten Boonekamp; Marcello Borri; Angelo Bosotti; Vincent Boudry; Mohammed Boukidi; Igor Boyko; Ivanka Bozovic; Giuseppe Bozzi; Jean-Claude Brient; Anastasiia Budzinskaya; Masroor Bukhari; Vladimir Bytev; Giacomo Cacciapaglia; Hua Cai; Wenyong Cai; Wujun Cai; Yijian Cai; Yizhou Cai; Yuchen Cai; Haiying Cai; Huacheng Cai; Lorenzo Calibbi; Junsong Cang; Guofu Cao; Jianshe Cao; Antoine Chance; Xuejun Chang; Yue Chang; Zhe Chang; Xinyuan Chang; Wei Chao; Auttakit Chatrabhuti; Yimin Che; Yuzhi Che; Bin Chen; Danping Chen; Fuqing Chen; Fusan Chen; Gang Chen; Guoming Chen; Hua-Xing Chen; Huirun Chen; Jinhui Chen; Ji-Yuan Chen; Kai Chen; Mali Chen; Mingjun Chen; Mingshui Chen; Ning Chen; Shanhong Chen; Shanzhen Chen; Shao-Long Chen; Shaomin Chen; Shiqiang Chen; Tianlu Chen; Wei Chen; Xiang Chen; Xiaoyu Chen; Xin Chen; Xun Chen; Xurong Chen; Ye Chen; Ying Chen; Yukai Chen; Zelin Chen; Zilin Chen; Hoping Chen; Chunhui Chen; Hok Chuen Cheng; Huajie Cheng; Shan Cheng; Tongguang Cheng; Yunlong Chi; Pietro Chimenti; Wen Han Chiu; Guk Cho; Ming-Chung Chu; Xiaotong Chu; Ziliang Chu; Guglielmo Coloretti; Andreas Crivellin; Hanhua Cui; Xiaohao Cui; Zhaoyuan Cui; Brunella D'anzi; Ling-Yun Dai; Xinchen Dai; Xuwen Dai; Antonio De Maria; Nicola De Filippis; Christophe De La Taille; Francesca De Mori; Chiara De Sio; Elisa Del Core; Shuangxue Deng; Wei-Tian Deng; Zhi Deng; Ziyan Deng; Bhupal Dev; Tang Dewen; Biagio Di Micco; Ran Ding; Siqin Ding; Yadong Ding; Haiyi Dong; Jianing Dong; Jing Dong; Lan Dong; Mingyi Dong; Xu Dong; Yipei Dong; Yubing Dong; Milos Dordevic; Marco Drewes; Mingxuan Du; Qianqian Du; Xiaokang Du; Y Anyan Du; Yong Du; Yunfei Du; Chun-Gui Duan; Zhe Duan; Yahor Dydyshka; Ulrik Egede; Walaa Elmetenawee; Yun Eo; Ka Yan Fan; Kuanjun Fan; Yunyun Fan; Bo Fang; Shuangshi Fang; Yuquan Fang; Ada Farilla; Riccardo Farinelli; Muhammad Farooq; Angeles Faus Golfe; Almaz Fazliakhmetov; Rujun Fei; Bo Feng; Chong Feng; Junhua Feng; Xu Feng; Zhuoran Feng; Luis Roberto Flores Castillo; Etienne Forest; Andrew Fowlie; Harald Fox; Hai-Bing Fu; Jinyu Fu; Benjamin Fuks; Yoshihiro Funakoshi; Emidio Gabrielli; Nan Gan; Li Gang; Jie Gao; Meisen Gao; Wenbin Gao; Wenchun Gao; Yu Gao; Yuanning Gao; Zhanxiang Gao; Yanyan Gao; Kun Ge; Shao-Feng Ge; Zhenwu Ge; Li-Sheng Geng; Qinglin Geng; Chao-Qiang Geng; Swagata Ghosh; Antonio Gioiosa; Leonid Gladilin; Ti Gong; Stefania Gori; Quanbu Gou; Sebastian Grinstein; Chenxi Gu; Gerardo Guillermo; Joao Guimaraes da Costa; Dizhou Guo; Fangyi Guo; Jiacheng Guo; Jun Guo; Lei Guo; Xia Guo; Xin-Heng Guo; Xinyang Guo; Yun Guo; Yunqiang Guo; Yuping Guo; Zhi-Hui Guo; Alejandro Gutierrez-Rodriguez; Seungkyu Ha; Noman Habib; Jan Hajer; Francois Hammer; Chengcheng Han; Huayong Han; Jifeng Han; Liang Han; Liangliang Han; Ruixiong Han; Yang Han; Yezi Han; Yuanying Han; Tao Han; Jiankui Hao; Xiqing Hao; Chuanqi He; Dayong He; Dongbing He; Guangyuan He; Hong-Jian He; Jibo He; Jun He; Longyan He; Xiang He; Xiao-Gang He; Zhenqiang He; Klaus Heinemann; Sven Heinemeyer; Yuekun Heng; Maria A. Hem Andez-Ruiz; Jiamin Hong; Yuenkeung Hor; George W.S. Hou; Xiantao Hou; Xiaonan Hou; Zhilong Hou; Suen Hou; Caishi Hu; Chen Hu; Dake Hu; Haiming Hu; Jiagen Hu; Jun Hu; Kun Hu; Shouyang Hu; Yongcai Hu; Yu Hu; Zhen Hu; Zhehao Hua; Jianfei Hua; Chao-Shang Huang; Fa Peng Huang; Guangshun Huang; Jinshu Huang; Ke Huang; Liangsheng Huang; Shuhui Huang; Xingtao Huang; Xu-Guang Huang; Yanping Huang; Y Onggang Huang; Y Ongsheng Huang; Zimiao Huang; Chen Huanyuan; Changgi Huh; Jiaqi Hui; Lihua Huo; Talab Hussain; Kyuyeong Hwang; Ara Ioannisian; Munawar Iqbal; Paul Jackson; Shahriyar Jafarzade; Haeun Jang; Seoyun Jang; Daheng Ji; Qingping Ji; Quan Ji; Xiaolu Ji; Jingguang Jia; Jinsheng Jia; Xuewei Jia; Zihang Jia; Cailian Jiang; Han Ren Jiang; Houbing Jiang; Jun Jiang; Xiaowei Jiang; Xin Jiang; Xuhui Jiang; Yongcheng Jiang; Zhongjian Jiang; Cheng Jiang; Ruiqi Jiao; Dapeng Jin; Shan Jin; Song Jin; Yi Jin; Junji Jis; Sunghoon Jung; Goran Kacarevic; Eric Kajfasz; Lidia Kalinovskaya; Aleksei Kamp; Wen Kang; Xian-Wei Kang; Xiaolin Kang; Biswajit Karmakar; Zhiyong Ke; Rijeesh Keloth; Alamgir Khan; Hamzeh Khanpour; Khanchai Khosonthongkee; Bobae Kim; Dongwoon Kim; Mi Ran Kim; Minsuk Kim; Sungwon Kim; On Kim; Michael Klasen; Sanghyun Ko; Ivan Koop; Vitaliy Komienko; Bryan Kortman; Gennady Kozlov; Shiqing Kuang; Mukesh Kumar; Chia Ming Kuo; Tsz Hong Kwok; François Sylvain Ren Lagarde; Pei-Zhu Lai; Imad Laktineh; Xiaofei Lan; Zuxiu Lan; Lia Lavezzi; Justin Lee; Junghyun Lee; Sehwook Lee; Ge Lei; Roy Lemmon; Yongxiang Leng; Sze Ching Leung; Hai Tao Li; Bingzhi Li; Bo Li; Changhong Li; Chao Li; Cheng Li; Chunhua Li; Cui Li; Dazhang Li; Dikai Li; Fei Li; Gang Li; Gaosong Li; Haibo Li; Haifeng Li; Hai-Jun Li; Haotian Li; Hengne Li; Honglei Li; Huijing Li; Jialin Li; Jingyi Li; Jinmian Li; Jun Li; Leyi Li; Liang Li; Ling Li; Mei Li; Meng Li; Minxian Li; Pei-Rong Li; Qiang Li; Shaopeng Li; Shenghe Li; Shu Li; Shuo Li; Teng Li; Tiange Li; Tong Li; Weichang Li; Weidong Li; Wenjun Li; Xiaoling Li; Xiaomei Li; Xiaonan Li; Xiaoping Li; Xiaoting Li; Xin Li; Xinqiang Li; Xuekang Li; Yang Li; Yanwei Li; Yiming Li; Ying Li; Ying-Ying Li; Yonggang Li; Yonglin Li; Yufeng Li; Yuhui Li; Zhan Li; Zhao Li; Zhiji Li; Lingfeng Li; Jing Liang; Jinhan Liang; Zhijun Liang; Guangrui Liao; Hean Liao; Jiajun Liao; Libo Liao; Longzhou Liao; Yi Liao; Yipu Liao; Ayut Limphirat; Tao Lin; Weiping Lin; Yufu Lin; Yugen Lin; Beijiang Liu; Bo Liu; Danning Liu; Dong Liu; Fu-Hu Liu; Hongbang Liu; Huangcheng Liu; Hui Liu; Huiling Liu; Jia Liu; Jiaming Liu; Jianbei Liu; Jianyi Liu; Jingdong Liu; Jinhua Liu; Kai Liu; Kang Liu; Kun Liu; Mengyao Liu; Peng Liu; Pengcheng Liu; Qibin Liu; Shan Liu; Shidong Liu; Shuang Liu; Shubin Liu; Tao Liu; Tong Liu; Wei Liu; Xiang Liu; Xiao-Hai Liu; Xiaohui Liu; Xiaoyu Liu; Xin Liu; Xinglin Liu; Xingquan Liu; Yang Liu; Yanlin Liu; Yao-Bei Liu; Yi Liu; Yiming Liu; Yong Liu; Yonglu Liu; Yu Liu; Yubin Liu; Yudong Liu; Yulong Liu; Zhaofeng Liu; Zhen Liu; Zhenchao Liu; Zhi Liu; Zhi-Feng Liu; Zhiqing Liu; Zhongfu Liu; Zuowei Liu; Mia Liu; Xiaoyang Liu; Xinchou Lou; Cai-Dian Lu; Jun-Xu Lu; Qiu Zhen Lu; Shang Lu; Wenxi Lu; Xiaohan Lu; Yunpeng Lu; Zhiyong Lu; Xianguo Lu; Wei Lu; Bayarto Lubsandorzhiev; Sultim Lubsandorzhiev; Arslan Lukanov; Jinliang Luo; Tao Luo; Xiaoan Luo; Xiaofeng Luo; Xiaolan Luo; Jindong Lv; Feng Lyu; Xiao-Rui Lyu; Kun-Feng Lyu; Ande Ma; Hong-Hao Ma; Jun-Li Ma; Kai Ma; Lishuang Ma; Na Ma; Renjie Ma; W Eihu Ma; Xinpeng Ma; Y Anling Ma; Y An-Qing Ma; Y Ongsheng Ma; Zhonghui Ma; Zhongjian Ma; Yang Ma; Mousam Maity; Lining Mao; Yanmin Mao; Yaxian Mao; Aurelien Martens; Caccia Massimo Luigi Maria; Shigeki Matsumoto; Bruce Mellado; Davide Meloni; Lingling Men; Cai Meng; Lingxin Meng; Zhenghui Mi; Yuhui Miao; Mauro Migliorati; Lei Ming; Vasiliki A. Mitsou; Laura Monaco; Arthur Moraes; Karabo Mosala; Ahmad Moursy; Lichao Mu; Zhihui Mu; Nickolai Muchnoi; Daniel Muenstermann; Pankaj Munbodh; William John Murra; Jérôme Nanni; Dmitry Nanzanov; Changshan Nie; Sergei Nikitin; Feipeng Ning; Guozhu Ning; Jia-Shu Niu; Juan-Juan Niu; Yan Niu; Edward Khomotso Nkadimeng; Kazuhito Ohmi; Katsunobu Oide; Hideki Okawa; Mohamed Ouchemhou; Qun Ouyang; Daniele Paesani; Carlo Pagani; Stathes Paganis; Collette Pakuza; Jiangyang Pan; Juntong Pan; Tong Pan; Xiang Pan; Papia Panda; Saraswati Pandey; Mila Pandurovic; Rocco Paparella; Roman Pasechnik; Emilie Passemar; Hua Pei; Xiaohua Peng; Xinye Peng; Yuemei Peng; Jialun Ping; Ronggang Ping; Souvik Priyam Adhya; Baohua Qi; Hang Qi; Huirong Qi; Ming Qi; Sen Qian; Zhuoni Qian; Congfeng Qiao; Guangyou Qin; Jiajia Qin; Laishun Qin; Liqing Qin; Qin Qin; Xiaoshuai Qin; Zhonghua Qin; Guofeng Qu; Antonio Racioppi; Michael Ramsey-Musolf; Shabbar Raza; Vladimir Rekovic; Jing Ren; Jurgen Reuter; Tania Robens; Giancarlo Rossi; Manqi Ruan; Leonid Rumyantsev; Min Sang Ryu; Renat Sadykov; Minjing Sang; Juan Jose Sanz-Cillero; Miroslav Saur; Nishil Savla; Michael A. Schmidt; Daniele Sertore; Ron Settles; Peng Sha; Ding-Yu Shao; Ligang Shao; Hua-Sheng Shao; Xin She; Chuang Shen; Hong-Fei Shen; Jian-Ming Shen; Peixun Shen; Qiuping Shen; Zhongtao Shen; Shuqi Sheng; Haoyu Shi; Hua Shi; Qi Shi; Shusu Shi; Xiaolei Shi; Xin Shi; Yukun Shi; Zhan Shi; Ian Shipsey; Gary Shiu; Chang Shu; Zang-Guo Si; Andrei Sidorenkov; Ivan Smiljanc; Aodong Song; Huayang Song; Jiaojiao Song; Jinxing Song; Siyuan Song; Weimin Song; Weizheng Song; Zhi Song; Shashwat Sourav; Paolo Spruzzola; Feng Su; Shengsen Su; Wei Su; Shufang Su; Yanfeng Sui; Zexuan Sui; Michael Sullivan; Baiyang Sun; Guoqiang Sun; Hao Sun; Hao-Kai Sun; Junfeng Sun; Liang Sun; Mengcheng Sun; Pengfei Sun; Sichun Sun; Xianjing Sun; Xiaohu Sun; Xilei Sun; Xingyang Sun; Xin-Yuan Sun; Yanjun Sun; Yongzhao Sun; Yue Sun; Zheng Sun; Narumon Suwonjandee; Elsayed Tag Eldin; Biao Tan; Bo Tang; Chuanxiang Tang; Gao Tang; Guangyi Tang; Jian Tang; Jingyu Tang; Liang Tang; Ying'ao Tang; Junquan Tao; Abdel Nasser Tawfik; Geoffrey Taylor; Valery Telnov; Saike Tian; Riccardo Torre; Wladyslaw Henryk Trzaska; Dmitri Tsybychev; Yanjun Tu; Shengquan Tuo; Michael Tytgat; Ghalib Ul Islam; Nikita Ushakov; German Valencia; Jaap Velthuis; Alessandro Vicini; Trevor Vickey; Ivana Vidakovic; Henri Videau; Raymond Volkas; Dmitry Voronin; Natasa Vukasinovic; Xia Wan; Xuying Wan; Xiao Wang; Anqing Wang; Bin Wang; Chengtao Wang; Chuanye Wang; Ci Wang; Dayong Wang; Dou Wang; En Wang; Fei Wang; Guanwen Wang; Guo-Li Wang; Haijing Wang; Haolin Wang; Jia Wang; Jian Wang; Jianchun Wang; Jianli Wang; Jiawei Wang; Jin Wang; Jin-Wei Wang; Joseph Wang; Kechen Wang; Lechun Wang; Lei Wang; Liguo Wang; Lijiao Wang; Lu Wang; Meng Wang; Na Wang; Pengcheng Wang; Qian Wang; Qun Wang; Shu Lin Wang; Shudong Wang; Taofeng Wang; Tianhong Wang; Tianyang Wang; Tong Wang; Wei Wang; Xiaolong Wang; Xiaoning Wang; Xiao-Ping Wang; Xiongfei Wang; Xujian Wang; Yaping Wang; Yaqian Wang; Yi Wang; Yiao Wang; Yifang Wang; Yilun Wang; Yiwei Wang; You-Kai Wang; Yuanping Wang; Yuexin Wang; Yuhao Wang; Yu-Ming Wang; Yuting Wang; Zhen Wang; Zhigang Wang; Weiping Wang; Zeren Simon Wang; Biao Wang; Hui Wang; Lian-Tao Wang; Zihui Wang; Zirui Wang; Daihui Wei; Shujun Wei; Wei Wei; Xiaomin Wei; Yuanyuan Wei; Yingjie Wei; Liangjian Wen; Xuejun Wen; Yufeng Wen; Martin White; Peter Williams; Zef Wolffs; William John Womersk; Baona Wu; Bobing Wu; Guaniian Wu; Jinfei Wu; Lei Wu; Lina Wu; Linghui Wu; Minlin Wu; Peiwen Wu; Qi Wu; Qun Wu; Tianya Wu; Xiang Wu; Xiaohong Wu; Xing-Gang Wu; Xuehui Wu; Yaru Wu; Yongcheng Wu; Yuwen Wu; Zhi Wu; Xin Wu; Lei Xia; Ligang Xia; Shang Xia; Benhou Xiang; Dao Xiang; Zhiyu Xiang; Bo-Wen Xiao; Chu-Wen Xiao; Dong Xiao; Guangyan Xiao; Han Xiao; Meng Xiao; Ouzheng Xiao; Rui-Qing Xiao; Xiang Xiao; Yichen Xiao; Ying Xiao; Yu Xiao; Y Unlong Xiao; Zhenjun Xiao; Hengyuan Xiao; Nian Xie; Yuehong Xie; Tianmu Xin; Ye Xing; Zhizhong Xing; Da Xu; Fang Xu; Fanrong Xu; Haisheng Xu; Haocheng Xu; Ji Xu; Miaofu Xu; Qingjin Xu; Qingnian Xu; Wei Xu; Weixi Xu; Xinping Xu; Zhen Xu; Zijun Xu; Zehua Xu; Yaoyuan Xu; Feifei Xue; Baojun Yan; Bin Yan; Fen Yan; Fucheng Yan; Jiaming Yan; Liang Yan; Luping Yan; Qi-Shu Yan; Wenbiao Yan; Yupeng Yan; Haoyue Yan; Dong Yang; Fengying Yang; Guicheng Yang; Haijun Yang; Jin Min Yang; Jing Yang; Lan Yang; Li Yang; Li Lin Yang; Lili Yang; Litao Yang; Mei Yang; Qiaoli Yang; Tiansen Yang; Xiaochen Yang; Yingjun Yang; Yueling Yang; Zhengyong Yang; Zhenwei Yang; Youhua Yang; Xiancong Yang; De-Liang Yao; Shi Yao; Lei Ye; Lingxi Ye; Mei Ye; Rui Ye; Yecheng Ye; Vitaly Yermolchyk; Kai Yi; Li Yi; Yang Yi; Di Yin; Peng-Fei Yin; Shenghua Yin; Ze Yin; Zhongbao Yin; Zhang Yinhong; Hwi Dong Yoo; Zhengyun You; Charles Young; Boxiang Yu; Chenghui Yu; Fusheng Yu; Jie-Sheng Yu; Jinqing Yu; Lingda Yu; Zhao-Huan Yu; Felix Yu; Bingrong Yu; Changzheng Yuan; Li Yuan; Xing-Bo Yuan; Youiin Yuan; Junhui Yue; Qian Yue; Baobiao Yue; Un Nisa Zaib; Riccardo Zanzottera; Hao Zeng; Ming Zeng; Jian Zhai; Jiyuan Zhai; Xin Zhe Zhai; Xi-Jie Zhan; Ben-Wei Zhang; Balun Zhang; Di Zhang; Guangyi Zhang; Hao Zhang; Hong-Hao Zhang; Huaqiao Zhang; Hui Zhang; Jialiang Zhang; Jianyu Zhang; Jianzhong Zhang; Jiehao Zhang; Jielei Zhang; Jingru Zhang; Jinxian Zhang; Junsong Zhang; Junxing Zhang; Lei Zhang; Liang Zhang; Licheng Zhang; Liming Zhang; Linhao Zhang; Luyan Zhang; Mengchao Zhang; Rao Zhang; Shulei Zhang; Wan Zhang; Wenchao Zhang; Xiangzhen Zhang; Xiaomei Zhang; Xiaoming Zhang; Xiaoxu Zhang; Xiaoyu Zhang; Xuantong Zhang; Xueyao Zhang; Yang Zhang; Yanxi Zhang; Yao Zhang; Ying Zhang; Yixiang Zhang; Yizhou Zhang; Yongchao Zhang; Yu Zhang; Yuan Zhang; Yujie Zhang; Yulei Zhang; Yumei Zhang; Yunlong Zhang; Zhandong Zhang; Zhaoru Zhang; Zhen-Hua Zhang; Zhenyu Zhang; Zhichao Zhang; Zhi-Qing Zhang; Zhuo Zhang; Cong Zhang; Tianliang Zhang; Guang Zhao; Hongyun Zhao; Jie Zhao; Jingxia Zhao; Jingyi Zhao; Ling Zhao; Luyang Zhao; Mei Zhao; Minggang Zhao; Mingrui Zhao; Qiang Zhao; Ruiguang Zhao; Tongxian Zhao; Yaliang Zhao; Ying Zhao; Yue Zhao; Zhiyu Zhao; Zhuo Zhao; Alexey Zhemchugov; Hongjuan Zheng; Jinchao Zheng; Liang Zheng; Ran Zheng; Shanxi Zheng; Xu-Chang Zheng; Wang Zhile; Weicai Zhong; Yi-Ming Zhong; Chen Zhou; Daicui Zhou; Jianxin Zhou; Jing Zhou; Ning Zhou; Qi-Dong Zhou; Shiyu Zhou; Shun Zhou; Sihong Zhou; Xiang Zhou; Xingyu Zhou; Yang Zhou; Yong Zhou; Yu-Feng Zhou; Zusheng Zhou; Demin Zhou; Dechong Zhu; Hongbo Zhu; Huaxing Zhu; Jingya Zhu; Kai Zhu; Pengxuan Zhu; Ruilin Zhu; Xianglei Zhu; Yingshun Zhu; Y Ongfeng Zhu; Xiao Zhuang; Xuai Zhuang; Mikhail Zobov; Zhanguo Zong; Cong Zou; Hongying Zou
The Circular Electron Positron Collider (CEPC) is a large scientific project initiated and hosted by China, fostered through extensive collaboration with international partners. The complex comprises four accelerators: a 30 GeV Linac, al.l GeV Damping Ring, a Booster capable of achieving energies up to 180 GeV, and a Collider operating at varying energy modes (Z, W, H, and tt). The Linac and Damping Ring are situated on the surface, while the subterranean Booster and Collider are housed ina100 km circumference underground tunnel, strategically accommodating future expansion with provisions for a potential Super Proton Proton Collider (SPPC). The CEPC primarily serves as a Higgs fketory. In its baseline design with synchrotron radiation (SR) power of30 MW per beam, it can achieve a luminosity of 5 x1034 cm-2s-1 per interaction point (IP), resulting in an integrated luminosity of 13 ab 1 for two IPs over a decade, producing 2.6millionHiggsbosons. IncreasingtheSRpowerto 50MWperbeam expands the CEPC's capability to generate 4.3 million Higgs bosons, facilitating precise measurements ofHiggs coupling at sub-percent levels, exceeding the precision expected from the HLLHCbyanorderofmagnitude. This Technical Design Report(TDR) follows the Preliminary Conceptual Design Report (Pre-CDR, 2015) and the Conceptual Design Report (CDR, 2018), comprehensively detailing the machine's layout, performance metrics, physical design and analysis, technical systems design, R&D and prototyping efforts, and associated civil engineering aspects. Additionally, it includes a cost estimate and a preliminary construction timeline, establishing a framework for forthcoming engineering design phase and site selection procedures. Construction is anticipated to begin around 2027-2028, pending government approval, with an estimated duration of 8 years. The commencement of experiments and data collection could potentially be initiated in the mid-2030s. © 2024 The authors.
Cerebellar dysfunction in an elderly male after a brief course of metronidazole
(Bentham Science Publishers B.V., 2019) Upinder Kaur; Ishan Kumar; Anup Singh; Mukesh Kumar; Sankha Shubhra Chakrabarti
Background: Metronidazole, a widely used antibacterial and antiprotozoal drug, is often the drug of choice in amoebic liver abscess. The drug, otherwise safe, can cause serious central nervous disturbances in rare circumstances. Case Report: Here, we report a case of cerebellar dysfunction in the form of slurring of speech and episodes of falls, in an elderly male following a three-week course of metronidazole therapy. Results and Conclusion: The patient manifested classic radiologic features of metronidazole neurotoxicity. Marked improvement in clinical symptoms was seen following drug discontinuation. © 2019, Bentham Science Publishers B.V.. All rights reserved.
Change in malnutrition among under-5 children in Mali: a comparative analysis of 2012–13 and 2018 and exploration of determinants
(Springer Nature, 2024) Kamalesh Kumar Patel; Jang Bahadur Prasad; Raghavendra Singh; Mukesh Kumar
Backgrounds: Malnutrition is a severe problem in Africa and South East Asia. Mali is one of the countries where 0–59-month-old children suffer from acute malnutrition. Hence, to monitor the health and health services, this study is aimed at identifying the change in malnutrition in under-5 children and its determinants. Materials and methods: Recent two rounds of data for Mali country were extracted from the demographic and health surveys (DHS) website (https://dhsprogram.com/data/) to study the change in nutritional status and determinants. Both round data were analyzed by using bi-variate, z-test, and binary logistic regression techniques. Results: In Mali, stunting, wasting, and underweight children were found to be 26.7%, 8.9%, and 18.5%, respectively. In addition, significant change in socio-demographic and health predictors was seen in stunting and underweight from 2012–13 to 2018. Change in the prevalence of wasting was significant in all groups of selected predictors except in the group of size and weight at birth. The education level of the mother, institutional delivery, antenatal care, mother’s anemia, tetanus injection, birth interval, mother’s body mass index (BMI), currently breastfeeding, type of residence, toilet facility, and wealth index were significantly associated with chronic malnutrition. Conclusion: Mother and social factors were the major cause of malnutrition in the country. Hence, there is a need a policy actions with a better monitoring system for improving accessibility and availability of health services at different social classes and economic levels. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.
Comparative Progress of Odisha in Millet Farming: An Inter-State Analysis through Agricultural Efficiency Index
(Indian Society of Agricultural Economics, 2023) Mukesh Kumar
Odisha is an ‘agro-ethnic’ state located in the eastern region of India. A total of 76 per cent of the state working population is engaged in agriculture and allied sectors along with 22.84 per cent of the total state population is tribal in nature. The colonial period of the pre-Independence era and the green revolution period of the post-Independence era have imposed the mono and duo cropping culture in all states of the country including Odisha and caused the marginalization of millet farming. The basket of millets constitutes the crops like ‘Jowar, ‘Bajra’, ‘Ragi’, and ‘Small Millets’. These are economic, nutrition-rich, disease-resistant, drought-tolerant, and climate-resilient crops in nature. Therefore, to improve both individual and farm health the government of Odisha has initiated the focus on millets production by launching the ‘Odisha Millets Mission’ (OMM) in 2017-18. As with Odisha, some other states are also functioning with their millets program such as – the Andhra Pradesh Millets Programme (2016) and Telangana Millets Mission (2018). This paved the way for the declaration of the ‘National Year of Millets’ in 2018 by the Indian Government and the ‘International Year of Millets’ in 2023 by the United Nations Organisation. This paper intends to analyse the comparative progress of Odisha in millets farming with the other major states in light of its vibrant millets mission program. For this, we have applied the method ‘Measures of Agricultural Efficiency’ suggested by S.S. Bhatia (1967). The secondary data on the area, production, and yield of four main millets crops, viz., Jowar, Bajra, Ragi, and Small Millets extracted from the Directorate of Economics and Statistics, Ministry of Agriculture and Farmers Welfare, Government of India enable us to construct the ‘Agricultural Efficiency Index’ of millets farming for the selected 20 major states of India at two-time points, i.e., 2016-17 and 2020-21. The results from the analysis show that the agricultural efficiency index of Odisha has decreased from 59.73 to 55.58 but in a relative sense the rank of Odisha has improved from the 17th position to the 16th position between the two-time points of 2016-17 to 2020-21. It also states that Himachal Pradesh has increased from the ‘low efficiency’ category to the ‘high efficiency’ category, Kerala has decreased from the ‘high efficiency’ category to the ‘low efficiency’ category and the remaining 18 states including Odisha have no change in their efficiency category between 2016-17 and 2020-21. The result of Spearman’s rank correlation test (.965) also states that the selected states have shown relatively low progress in terms of millet farming as their respective ranks are highly correlated between both periods. © 2023 Indian Society of Agricultural Economics. All rights reserved.
Correction to: CEPC Technical Design Report: Accelerator (Radiation Detection Technology and Methods, (2024), 8, 1, (1-1105), 10.1007/s41605-024-00463-y)
(Springer, 2024) Waleed Abdallah; Tiago CarlosAdorno de Freitas; Konstantin Afanaciev; Shakeel Ahmad; Ijaz Ahmed; Xiaocong Ai; Abid Aleem; Wolfgang Altmannshofer; Fabio Alves; Weiming An; Rui An; Daniele Paolo Anderle; Stefan Antusch; Yasuo Arai; Andrej Arbuzov; Abdesslam Arhrib; Mustafa Ashry; Sha Bai; Yu Bai; Yang Bai; Vipul Bairathi; Csaba Balazs; Philip Bambade; Yong Ban; Triparno Bandyopadhyay; Shou-Shan Bao; Desmond P. Barber; Ays¸e Bat; Varvara Batozskaya; Subash Chandra Behera; Alexander Belyaev; Michele Bertucci; Xiao-Jun Bi; Yuanjie Bi; Tianjian Bian; Fabrizio Bianchi; Thomas Bieko¨tter; Michela Biglietti; Shalva Bilanishvili; Deng Binglin; Denis Bodrov; Anton Bogomyagkov; Serge Bondarenko; Stewart Boogert; Maarten Boonekamp; Marcello Borri; Angelo Bosotti; Vincent Boudry; Mohammed Boukidi; Igor Boyko; Ivanka Bozovic; Giuseppe Bozzi; Jean-Claude Brient; Anastasiia Budzinskaya; Masroor Bukhari; Vladimir Bytev; Giacomo Cacciapaglia; Hua Cai; Wenyong Cai; Wujun Cai; Yijian Cai; Yizhou Cai; Yuchen Cai; Haiying Cai; Huacheng Cai; Lorenzo Calibbi; Junsong Cang; Guofu Cao; Jianshe Cao; Antoine Chance; Xuejun Chang; Yue Chang; Zhe Chang; Xinyuan Chang; Wei Chao; Auttakit Chatrabhuti; Yimin Che; Yuzhi Che; Bin Chen; Danping Chen; Fuqing Chen; Fusan Chen; Gang Chen; Guoming Chen; Hua-Xing Chen; Huirun Chen; Jinhui Chen; Ji-Yuan Chen; Kai Chen; Mali Chen; Mingjun Chen; Mingshui Chen; Ning Chen; Shanhong Chen; Shanzhen Chen; Shao-Long Chen; Shaomin Chen; Shiqiang Chen; Tianlu Chen; Wei Chen; Xiang Chen; Xiaoyu Chen; Xin Chen; Xun Chen; Xurong Chen; Ye Chen; Ying Chen; Yukai Chen; Zelin Chen; Zilin Chen; Boping Chen; Chunhui Chen; Hok Chuen Cheng; Huajie Cheng; Shan Cheng; Tongguang Cheng; Yunlong Chi; Pietro Chimenti; Wen Han Chiu; Guk Cho; Ming-Chung Chu; Xiaotong Chu; Ziliang Chu; Guglielmo Coloretti; Andreas Crivellin; Hanhua Cui; Xiaohao Cui; Zhaoyuan Cui; Brunella D’Anzi; Ling-Yun Dai; Xinchen Dai; Xuwen Dai; Antonio De Maria; Nicola De Filippis; Christophe De La Taille; Francesca De Mori; Chiara De Sio; Elisa Del Core; Shuangxue Deng; Wei-Tian Deng; Zhi Deng; Ziyan Deng; Bhupal Dev; Tang Dewen; Biagio Di Micco; Ran Ding; Siqin Ding; Yadong Ding; Haiyi Dong; Jianing Dong; Jing Dong; Lan Dong; Mingyi Dong; Xu Dong; Yipei Dong; Yubing Dong; Milos Dordevic; Marco Drewes; Mingxuan Du; Qianqian Du; Xiaokang Du; Yanyan Du; Yong Du; Yunfei Du; Chun-Gui Duan; Zhe Duan; Yahor Dydyshka; Ulrik Egede; Walaa Elmetenawee; Yun Eo; Ka Yan Fan; Kuanjun Fan; Yunyun Fan; Bo Fang; Shuangshi Fang; Yuquan Fang; Ada Farilla; Riccardo Farinelli; Muhammad Farooq; Angeles Faus Golfe; Almaz Fazliakhmetov; Rujun Fei; Bo Feng; Chong Feng; Junhua Feng; Xu Feng; Zhuoran Feng; ZhuoranFeng; Luis Roberto Flores Castillo; Etienne Forest; Andrew Fowlie; Harald Fox; Hai-Bing Fu; Jinyu Fu; Benjamin Fuks; Yoshihiro Funakoshi; Emidio Gabrielli; Nan Gan; Li Gang; Jie Gao; Meisen Gao; Wenbin Gao; Wenchun Gao; Yu Gao; Yuanning Gao; Zhanxiang Gao; Yanyan Gao; Kun Ge; Shao-Feng Ge; Zhenwu Ge; Li-Sheng Geng; Qinglin Geng; Chao-Qiang Geng; Swagata Ghosh; Antonio Gioiosa; Leonid Gladilin; Ti Gong; Stefania Gori; Quanbu Gou; Sebastian Grinstein; Chenxi Gu; Gerardo Guillermo; Joao Guimaraes da Costa; Dizhou Guo; Fangyi Guo; Jiacheng Guo; Jun Guo; Lei Guo; Xia Guo; Xin-Heng Guo; Xinyang Guo; Yun Guo; Yunqiang Guo; Yuping Guo; Zhi-Hui Guo; Alejandro Gutie´rrez-Rodríguez; Seungkyu Ha; Noman Habib; Jan Hajer; Francois Hammer; Chengcheng Han; Huayong Han; Jifeng Han; Liang Han; Liangliang Han; Ruixiong Han; Yang Han; Yezi Han; Yuanying Han; Tao Han; Jiankui Hao; Xiqing Hao; XiqingHao; Chuanqi He; Dayong He; Dongbing He; Guangyuan He; Hong-Jian He; Jibo He; Jun He; Longyan He; Xiang He; Xiao-Gang He; Zhenqiang He; Klaus Heinemann; Sven Heinemeyer; Yuekun Heng; María A. Herna´ndez-Ruíz; Jiamin Hong; Yuenkeung Hor; George W. S. Hou; Xiantao Hou; Xiaonan Hou; Zhilong Hou; Suen Hou; Caishi Hu; Chen Hu; Dake Hu; Haiming Hu; Jiagen Hu; Jun Hu; Kun Hu; Shouyang Hu; Yongcai Hu; Yu Hu; Zhen Hu; Zhehao Hua; Jianfei Hua; Chao-Shang Huang; Fa Peng Huang; Guangshun Huang; Jinshu Huang; Ke Huang; Liangsheng Huang; Shuhui Huang; Xingtao Huang; Xu-Guang Huang; Yanping Huang; Yonggang Huang; Yongsheng Huang; Zimiao Huang; Chen Huanyuan; Changgi Huh; Jiaqi Hui; Lihua Huo; Talab Hussain; Kyuyeong Hwang; Ara Ioannisian; Munawar Iqbal; Paul Jackson; Shahriyar Jafarzade; Haeun Jang; Seoyun Jang; Daheng Ji; Qingping Ji; Quan Ji; Xiaolu Ji; Jingguang Jia; Jinsheng Jia; Xuewei Jia; Zihang Jia; Cailian Jiang; Han Ren Jiang; Houbing Jiang; Jun Jiang; Xiaowei Jiang; Xin Jiang; Xuhui Jiang; Yongcheng Jiang; Zhongjian Jiang; Cheng Jiang; Ruiqi Jiao; Dapeng Jin; Shan Jin; Song Jin; Yi Jin; Junji Jis; Sunghoon Jung; Goran Kacarevic; Eric Kajfasz; Lidia Kalinovskaya; Aleksei Kampf; Wen Kang; Xian-Wei Kang; Xiaolin Kang; Biswajit Karmakar; Zhiyong Ke; Rijeesh Keloth; Alamgir Khan; Hamzeh Khanpour; Khanchai Khosonthongkee; KhanchaiKhosonthongkee; Bobae Kim; Dongwoon Kim; Mi Ran Kim; Minsuk Kim; Sungwon Kim; On Kim; Michael Klasen; Sanghyun Ko; Ivan Koop; Vitaliy Kornienko; Bryan Kortman; Gennady Kozlov; Shiqing Kuang; Mukesh Kumar; Chia Ming Kuo; Tsz Hong Kwok; Franc¸ois Sylvain Ren Lagarde; Pei-Zhu Lai; Imad Laktineh; Xiaofei Lan; Zuxiu Lan; Lia Lavezzi; Justin Lee; Junghyun Lee; Sehwook Lee; Ge Lei; Roy Lemmon; Yongxiang Leng; Sze Ching Leung; Hai Tao Li; Bingzhi Li; Bo Li; Changhong Li; Chao Li; Cheng Li; Chunhua Li; Cui Li; Dazhang Li; Dikai Li; Fei Li; Gang Li; Gaosong Li; Haibo Li; Haifeng Li; Hai-Jun Li; Haotian Li; Hengne Li; Honglei Li; Huijing Li; Jialin Li; Jingyi Li; Jinmian Li; Jun Li; Leyi Li; Liang Li; Ling Li; Mei Li; Meng Li; Minxian Li; Pei-Rong Li; Qiang Li; Shaopeng Li; Shenghe Li; Shu Li; Shuo Li; Teng Li; Tiange Li; Tong Li; Weichang Li; Weidong Li; Wenjun Li; Xiaoling Li; Xiaomei Li; Xiaonan Li; Xiaoping Li; Xiaoting Li; Xin Li; Xinqiang Li; Xuekang Li; Yang Li; Yanwei Li; Yiming Li; Ying Li; Ying-Ying Li; Yonggang Li; Yonglin Li; Yufeng Li; Yuhui Li; Zhan Li; Zhao Li; Zhiji Li; Lingfeng Li; Jing Liang; Jinhan Liang; Zhijun Liang; Guangrui Liao; Hean Liao; Jiajun Liao; Libo Liao; Longzhou Liao; Yi Liao; Yipu Liao; Ayut Limphirat; AyutLimphirat; Tao Lin; Weiping Lin; Yufu Lin; Yugen Lin; Beijiang Liu; Bo Liu; Danning Liu; Dong Liu; Fu-Hu Liu; Hongbang Liu; Huangcheng Liu; Hui Liu; Huiling Liu; Jia Liu; Jiaming Liu; Jianbei Liu; Jianyi Liu; Jingdong Liu; Jinhua Liu; Kai Liu; Kang Liu; Kun Liu; Mengyao Liu; Peng Liu; Pengcheng Liu; Qibin Liu; Shan Liu; Shidong Liu; Shuang Liu; Shubin Liu; Tao Liu; Tong Liu; Wei Liu; Xiang Liu; Xiao-Hai Liu; Xiaohui Liu; Xiaoyu Liu; Xin Liu; Xinglin Liu; Xingquan Liu; Yang Liu; Yanlin Liu; Yao-Bei Liu; Yi Liu; Yiming Liu; Yong Liu; Yonglu Liu; Yu Liu; Yubin Liu; Yudong Liu; Yulong Liu; Zhaofeng Liu; Zhen Liu; Zhenchao Liu; Zhi Liu; Zhi-Feng Liu; Zhiqing Liu; Zhongfu Liu; Zuowei Liu; Mia Liu; Xiaoyang Liu; Xinchou Lou; Cai-Dian Lu; Jun-Xu Lu; Qiu Zhen Lu; Shang Lu; Wenxi Lu; Xiaohan Lu; Yunpeng Lu; Zhiyong Lu; Xianguo Lu; Wei Lu; Bayarto Lubsandorzhiev; Sultim Lubsandorzhiev; Arslan Lukanov; Jinliang Luo; Tao Luo; xiaoan Luo; Xiaofeng Luo; Xiaolan Luo; Jindong Lv; Feng Lyu; Xiao-Rui Lyu; Kun-Feng Lyu; Ande Ma; Hong-Hao Ma; Jun-Li Ma; Kai Ma; Lishuang Ma; Na Ma; Renjie Ma; Weihu Ma; Xinpeng Ma; Yanling Ma; Yan-Qing Ma; Yongsheng Ma; Zhonghui Ma; Zhongjian Ma; Yang Ma; Mousam Maity; Lining Mao; Yanmin Mao; Yaxian Mao; Aure´lien Martens; Caccia Massimo Luigi Maria; Shigeki Matsumoto; Bruce Mellado; Davide Meloni; Lingling Men; Cai Meng; Lingxin Meng; Zhenghui Mi; Yuhui Miao; Mauro Migliorati; Lei Ming; Vasiliki A. Mitsou; Laura Monaco; Arthur Moraes; Karabo Mosala; Ahmad Moursy; Lichao Mu; Zhihui Mu; Nickolai Muchnoi; Daniel Muenstermann; Pankaj Munbodh; William John Murray; Jérôme Nanni; Dmitry Nanzanov; Changshan Nie; Sergei Nikitin; Feipeng Ning; Guozhu Ning; Jia-Shu Niu; Juan-Juan Niu; Yan Niu; Edward Khomotso Nkadimeng; Kazuhito Ohmi; Katsunobu Oide; Hideki Okawa; Mohamed Ouchemhou; Qun Ouyang; Daniele Paesani; Carlo Pagani; Stathes Paganis; Collette Pakuza; Jiangyang Pan; Juntong Pan; Tong Pan; Xiang Pan; Papia Panda; Saraswati Pandey; Mila Pandurovic; Rocco Paparella; Roman Pasechnik; Emilie Passemar; Hua Pei; Xiaohua Peng; Xinye Peng; Yuemei Peng; Jialun Ping; Ronggang Ping; Souvik Priyam Adhya; Baohua Qi; Hang Qi; Huirong Qi; Ming Qi; Sen Qian; Zhuoni Qian; Congfeng Qiao; Guangyou Qin; Jiajia Qin; Laishun Qin; Liqing Qin; Qin Qin; Xiaoshuai Qin; Zhonghua Qin; Guofeng Qu; Antonio Racioppi; Michael Ramsey-Musolf; Shabbar Raza; Vladimir Rekovic; Jing Ren; Ju¨rgen Reuter; Tania Robens; Giancarlo Rossi; Manqi Ruan; Leonid Rumyantsev; Min Sang Ryu; Renat Sadykov; Minjing Sang; Juan Jose´ Sanz-Cillero; Miroslav Saur; Nishil Savla; Michael A. Schmidt; Daniele Sertore; Ron Settles; Peng Sha; Ding-Yu Shao; Ligang Shao; Hua-Sheng Shao; Xin She; Chuang Shen; Hong-Fei Shen; Jian-Ming Shen; Peixun Shen; Qiuping Shen; Zhongtao Shen; Shuqi Sheng; Haoyu Shi; Hua Shi; Qi Shi; Shusu Shi; Xiaolei Shi; Xin Shi; Yukun Shi; Zhan Shi; Ian Shipsey; Gary Shiu; Chang Shu; Zong-Guo Si; Andrei Sidorenkov; Ivan Smiljanić; Aodong Song; Huayang Song; Jiaojiao Song; Jinxing Song; Siyuan Song; Weimin Song; Weizheng Song; Zhi Song; Shashwat Sourav; Paolo Spruzzola; Feng Su; Shengsen Su; Wei Su; Shufang Su; Yanfeng Sui; Zexuan Sui; Michael Sullivan; Baiyang Sun; Guoqiang Sun; Hao Sun; Hao-Kai Sun; Junfeng Sun; Liang Sun; Mengcheng Sun; Pengfei Sun; Sichun Sun; Xianjing Sun; Xiaohu Sun; Xilei Sun; Xingyang Sun; Xin-Yuan Sun; Yanjun Sun; Yongzhao Sun; Yue Sun; Zheng Sun; Narumon Suwonjandee; Elsayed Tag Eldin; Biao Tan; Bo Tang; Chuanxiang Tang; Gao Tang; Guangyi Tang; Jian Tang; Jingyu Tang; Liang Tang; Ying’Ao Tang; Junquan Tao; Abdel Nasser Tawfik; Geoffrey Taylor; Valery Telnov; Saike Tian; Riccardo Torre; Wladyslaw Henryk Trzaska; Dmitri Tsybychev; Yanjun Tu; Shengquan Tuo; Michael Tytgat; Ghalib Ul Islam; Nikita Ushakov; German Valencia; Jaap Velthuis; Alessandro Vicini; Trevor Vickey; Ivana Vidakovic; Henri Videau; Raymond Volkas; Dmitry Voronin; Natasa Vukasinovic; Xia Wan; Xuying Wan; Xiao Wang; Anqing Wang; Bin Wang; Chengtao Wang; Chuanye Wang; Ci Wang; Dayong Wang; Dou Wang; En Wang; Fei Wang; Guanwen Wang; Guo-Li Wang; Haijing Wang; Haolin Wang; Jia Wang; Jian Wang; Jianchun Wang; Jianli Wang; Jiawei Wang; Jin Wang; Jin-Wei Wang; Joseph Wang; Kechen Wang; Lechun Wang; Lei Wang; Liguo Wang; Lijiao Wang; Lu Wang; Meng Wang; Na Wang; Pengcheng Wang; Qian Wang; Qun Wang; Shu Lin Wang; Shudong Wang; Taofeng Wang; Tianhong Wang; Tianyang Wang; Tong Wang; Wei Wang; Xiaolong Wang; Xiaoning Wang; Xiao-Ping Wang; Xiongfei Wang; Xujian Wang; Yaping Wang; Yaqian Wang; Yi Wang; Yiao Wang; Yifang Wang; Yilun Wang; Yiwei Wang; You-Kai Wang; Yuanping Wang; Yuexin Wang; Yuhao Wang; Yu-Ming Wang; Yuting Wang; Zhen Wang; Zhigang Wang; Weiping Wang; Zeren Simon Wang; Biao Wang; Hui Wang; Lian-Tao Wang; Zihui Wang; Zirui Wang; Daihui Wei; Shujun Wei; Wei Wei; Xiaomin Wei; Yuanyuan Wei; Yingjie Wei; Liangjian Wen; Xuejun Wen; Yufeng Wen; Martin White; Peter Williams; Zef Wolffs; William John Womersley; Baona Wu; Bobing Wu; Guanjian Wu; Jinfei Wu; Lei Wu; Lina Wu; Linghui Wu; Minlin Wu; Peiwen Wu; Qi Wu; Qun Wu; Tianya Wu; Xiang Wu; Xiaohong Wu; Xing-Gang Wu; Xuehui Wu; Yaru Wu; Yongcheng Wu; Yuwen Wu; Zhi Wu; Xin Wu; Lei Xia; Ligang Xia; Shang Xia; Benhou Xiang; Dao Xiang; Zhiyu Xiang; Bo-Wen Xiao; Chu-Wen Xiao; Dong Xiao; Guangyan Xiao; Han Xiao; Meng Xiao; Ouzheng Xiao; Rui-Qing Xiao; Xiang Xiao; Yichen Xiao; Ying Xiao; Yu Xiao; Yunlong Xiao; Zhenjun Xiao; Hengyuan Xiao; Nian Xie; Yuehong Xie; Tianmu Xin; Ye Xing; Zhizhong Xing; Da Xu; Fang Xu; Fanrong Xu; Haisheng Xu; Haocheng Xu; Ji Xu; Miaofu Xu; Qingjin Xu; Qingnian Xu; Wei Xu; Weixi Xu; Xinping Xu; Zhen Xu; Zijun Xu; Zehua Xu; Yaoyuan Xu; Feifei Xue; Baojun Yan; Bin Yan; Fen Yan; Fucheng Yan; Jiaming Yan; Liang Yan; Luping Yan; Qi-Shu Yan; Wenbiao Yan; Yupeng Yan; Haoyue Yan; Dong Yang; Fengying Yang; Guicheng Yang; Haijun Yang; Jin Min Yang; Jing Yang; Lan Yang; Li Yang; Li Lin Yang; Lili Yang; Litao Yang; Mei Yang; Qiaoli Yang; Tiansen Yang; Xiaochen Yang; Yingjun Yang; Yueling Yang; Zhengyong Yang; Zhenwei Yang; Youhua Yang; Xiancong Yang; De-Liang Yao; Shi Yao; Lei Ye; Lingxi Ye; Mei Ye; Rui Ye; Yecheng Ye; Vitaly Yermolchyk; Kai Yi; Li Yi; Yang Yi; Di Yin; Peng-Fei Yin; Shenghua Yin; Ze Yin; Zhongbao Yin; Zhang Yinhong; Hwi Dong Yoo; Zhengyun You; Charles Young; Boxiang Yu; Chenghui Yu; Fusheng Yu; Jie-Sheng Yu; Jinqing Yu; Lingda Yu; Zhao-Huan Yu; Felix Yu; Bingrong Yu; Changzheng Yuan; Li Yuan; Xing-Bo Yuan; Youjin Yuan; Junhui Yue; Qian Yue; Baobiao Yue; Un Nisa Zaib; Riccardo Zanzottera; Hao Zeng; Ming Zeng; Jian Zhai; Jiyuan Zhai; Xin Zhe Zhai; Xi-Jie Zhan; Ben-Wei Zhang; Bolun Zhang; Di Zhang; Guangyi Zhang; Hao Zhang; Hong-Hao Zhang; Huaqiao Zhang; Hui Zhang; Jialiang Zhang; Jianyu Zhang; Jianzhong Zhang; Jiehao Zhang; Jielei Zhang; Jingru Zhang; Jinxian Zhang; Junsong Zhang; Junxing Zhang; Lei Zhang; Liang Zhang; Licheng Zhang; Liming Zhang; Linhao Zhang; Luyan Zhang; Mengchao Zhang; Rao Zhang; Shulei Zhang; Wan Zhang; Wenchao Zhang; Xiangzhen Zhang; Xiaomei Zhang; Xiaoming Zhang; Xiaoxu Zhang; Xiaoyu Zhang; Xuantong Zhang; Xueyao Zhang; Yang Zhang; Yanxi Zhang; Yao Zhang; Ying Zhang; Yixiang Zhang; Yizhou Zhang; Yongchao Zhang; Yu Zhang; Yuan Zhang; Yujie Zhang; Yulei Zhang; Yumei Zhang; Yunlong Zhang; Zhandong Zhang; Zhaoru Zhang; Zhen-Hua Zhang; Zhenyu Zhang; Zhichao Zhang; Zhi-Qing Zhang; Zhuo Zhang; Zhiqing Zhang; Cong Zhang; Tianliang Zhang; Guang Zhao; Hongyun Zhao; Jie Zhao; Jingxia Zhao; Jingyi Zhao; Ling Zhao; Luyang Zhao; Mei Zhao; Minggang Zhao; Mingrui Zhao; Qiang Zhao; Ruiguang Zhao; Tongxian Zhao; Yaliang Zhao; Ying Zhao; Yue Zhao; Zhiyu Zhao; Zhuo Zhao; Alexey Zhemchugov; Hongjuan Zheng; Jinchao Zheng; Liang Zheng; Ran Zheng; shanxi zheng; Xu-Chang Zheng; Wang Zhile; Weicai Zhong; Yi-Ming Zhong; Chen Zhou; Daicui Zhou; Jianxin Zhou; Jing Zhou; Ning Zhou; Qi-Dong Zhou; Shiyu Zhou; Shun Zhou; Sihong Zhou; Xiang Zhou; Xingyu Zhou; Yang Zhou; Yong Zhou; Yu-Feng Zhou; Zusheng Zhou; Demin Zhou; Dechong Zhu; Hongbo Zhu; Huaxing Zhu; Jingya Zhu; Kai Zhu; Pengxuan Zhu; Ruilin Zhu; Xianglei Zhu; Yingshun Zhu; Yongfeng Zhu; Xiao Zhuang; Xuai Zhuang; Mikhail Zobov; Zhanguo Zong; Cong Zou; Hongying Zou
In this article all authors name was missing in the springer link. It has been corrected. The original article has been corrected. © The Author(s) 2024.
Differential and determinants of neonatal mortality: A comparative study in Northern and Southern Regions of India
(Wolters Kluwer Medknow Publications, 2021) Kamalesh Patel; Mukesh Kumar
Background: The Government of India initiated different programs to reduce neonatal mortality. However, the variability of neonatal deaths occurs among states of India. Objective: This study aimed to identify the differential determinants associated with neonatal deaths in northern and southern regions of India. Materials and Methods: Bivariate analysis and Cox regression analysis have been performed to evaluate the predictors of neonatal mortality from National Family Health Survey (NFHS-4) data. Results: For neonatal mortality, mother and child factors became more consistent in the southern region than northern regions of the country, while household factor was almost the same in both regions of India. Conclusions: Primary intervention is also required to reduce public health problem as neonatal mortality. It should be focused on education of mother, birth interval, age at birth, antenatal care, poverty reduction programs, and proper heath facility to pregnant mothers. © 2021 Wolters Kluwer Medknow Publications. All rights reserved.
Distribution profile of iridoid glycosides and phenolic compounds in two Barleria species and their correlation with antioxidant and antibacterial activity
(Frontiers Media S.A., 2023) Shachi Singh; Mukesh Kumar; Seema Dwivedi; Anjali Yadav; Sarika Sharma
Introduction: Barleria prionitis is known for its medicinal properties from ancient times. Bioactive iridoid glycosides and phenolic compounds have been isolated from leaves of this plant. However, other parts of a medicinal plants are also important, especially roots. Therefore, it is important to screen all organs for complete chemical characterization. Method: All parts of B. prionitis, including leaf, root, stem and inflorescence in search of bioactive compounds, with a rapid and effective metabolomic method. X500R QTOF system with information dependent acquisition (IDA) method was used to collect high resolution accurate mass data (HRMS) on both the parent (MS signal) and their fragment ions (MS/MS signal). ESI spectra was obtained in positive ion mode from all parts of the plant. A comparative analysis of antioxidant and antibacterial activity was done and their correlation study with the identified compounds was demonstrated. Principal component analysis was performed. Result: Iridoid glycosides and phenolic compounds were identified from all parts of the showing variability in presence and abundance. Many of the compounds are reported first time in B. prionitis. Antioxidant and antibacterial activity was revealed in all organs, root being the most effective one. Some of the iridoid glycoside and phenolic compounds found to be positively correlated with the tested biological activity. Principal component analysis of the chemical profiles showed variability in distribution of the compounds. Conclusion: All parts of B. prionitis are rich source of bioactive iridoid glycosides and phenolic compounds. Copyright © 2023 Singh, Kumar, Dwivedi, Yadav and Sharma.
Effects of integrated nutrient management on rice yield, nutrient uptake and soil fertility status in reclaimed sodic soils
(2012) Mukesh Kumar; N.P.S. Yaduvanshi; Y.V. Singh
A Field experiment was conducted on a reclaimed sodic soil at experimental farm of Central Soil Salinity Research Institute, Karnal to assess the possibility of improving productivity of rice under two levels of fertilizer N and P applications i.e. 75% recommended NP (90 kg N + 19.5 kg P ha-1) and 100% recommended NP (120 kg N + 26 kg P ha-1) with and without organic manures i.e. 10 t ha-1 farmyard manure (FYM), 10 t ha-1 sulphitation pressmud (SPM), in situ green manuring (GM) as Sesbania aculeata and 2.5 t haha- 1 wheat residue (WR). Application of N, P and organic sources significantly increased the no. of tillers, plant height and yield of rice over control. The maximum yield of rice was obtained in 100% NP+GM (6.42 t ha-1) than 100% NP (5.31 t ha-1) and 100% NP + wheat residue (6.02 t ha-1) treatment. The 100% recommended NP with organic sources (FYM, PM, GM, and WR) recorded higher N uptake by 29.2, 29.4, 37.3 and 18.4%, respectively as compared to 100% recommended NP. The use of organic manure decreased soil pH and its combined use with fertilizers was significantly reflected in the build up of available N, P, K, organic carbon and DTPA- extractable Fe and Mn content of the soil.
Exploring the promise of psychobiotics: Bridging gut microbiota and mental health for a flourishing society
(Elsevier B.V., 2025) Neel Kamal; Baljeet Singh Saharan; Joginder Singh Duhan; Ashwani Kumar; Payal Chaudhary; Chhaya Goyal; Mukesh Kumar; Nikita Goyat; Meena Sindhu; Priti Mudgil
Mental health problems have become one of the major issues worldwide. People of every age group and gender are facing psychological issues. Conventional medicines are not reliable due to their adverse effects like altered sleeping pattern, addiction and health problems throughout the entire body. Psychobiotics is a new class of probiotics that is serving a wide range of applications in psychological health. Psychobiotic refers to the biological formulation which when consumed in right amount, confers psychological benefits. A lot of studies have supported the function of gut microbiota in mood cognition and controlling anxiety. The mechanism of action of psychobiotics has not been completely investigated. However, it may confer benefits by modulating hypothalamic-pituitary-adrenal (HPA) axis, by directly influencing immune system and through production of various neurotransmitters and neurohormones like proteins and short fatty acids chains. This review highlights the potential of different bacterial strains in human and animal trials. It latter also covers various psychobiotics formulations marketed by different companies. In addition to this, we also tried to cover the various hurdles in psychobiotic research that need to be addressed in the future to build a prosperous society. © 2024 The Authors
Exponential ratio method of estimation in the presence of measurement errors
(2011) Mukesh Kumar; Rajesh Singh; Nirmala Sawan; Pankaj Chauhan
The effect of measurement errors on exponential ratio- type estimator is examined. A comparative study is made among the proposed estimators, the exponential ratio-type estimator and mean per unit estimator in the presence of measurement errors.
Genetic diversity in Indian common bean (Phaseolus vulgaris L.) using random amplified polymorphic DNA markers
(2008) Vipin Kumar; Shailendra Sharma; Amit Kumar Sharma; Mukesh Kumar; Shiveta Sharma; Sunil Malik; K.P. Singh; R.S. Sanger; K.V. Bhat
Genetic diversity of twenty-six common bean (Phaseolus vulgaris L.) accessions of diverse geographical origin was studied using Random Amplified Polymorphic DNA (RAPD) markers. Fifteen out of forty four primers screened showed polymorphism across present set of genotypes. A total of 124 amplicons were scored using these 15 primers. Ninety five percent of the amplified products showed polymorphism, indicating fair amount of variation at the DNA level among these accessions. Cluster analysis delineated the genotypes in to four groups. © 2008 Prof. H.S. Srivastava Foundation for Science and Society.