Coupling Coordination Evaluation of Ecological Security in Coal Resource-Exhausted Villages by Pingjia Luo, Tianlong Liu, Haiyang Cao, Hao Chen, Weixi Chen

“…It innovatively constructs a comprehensive evaluation model based on “resilience support—state characteristics—response mechanism” and integrates coupling coordination degree analysis with grey relational analysis to quantitatively reveal the spatio-temporal differentiation features and driving mechanisms of ecological security coupling coordination in coal resource-depleted rural areas. …”
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Spatiotemporal Evolution Pattern and Driving Factors of Higher-Education Population in China by Qiudi Zhao, Yaohuan Huang, Yesen Liu

“…Then, the factors driving the distribution of the HEP are quantitatively analyzed using the geodetector model. The results show that the centroid of the HEP, shifting from the northeast to the southwest from 2000 to 2010, is markedly different from that of the total population from 2000 to 2015 in China. …”
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An Integrated Profiling of Liver Metabolome and Transcriptome of Pigs Fed Diets with Different Starch Sources by Miao Yu, Zhenming Li, Yiyan Cui, Ting Rong, Zhimei Tian, Dun Deng, Zhichang Liu, Ruiyang Zhang, Xianyong Ma

“…On day 44 of the experiment, liver samples were collected for metabolome and transcriptome analysis. …”
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Increasing uptake of self-management education programmes for type 2 diabetes in primary care: the Embedding research programme including an RCT by Melanie J Davies, Shona Agarwal, Danielle H Bodicoat, Alan Brennan, Simon Dixon, Helen Eborall, Agnieszka Glab, Laura J Gray, Michelle Hadjiconstantinou, Lisa Huddlestone, Nicky Hudson, Anju Keetharuth, Kamlesh Khunti, Caroline Kristunas, Graham Martin, Alison Northern, Mike Patterson, Daniel Pollard, Rebecca Pritchard, Sally Schreder, Jane Speight, Bernie Stribling, Jackie Sturt, Jess Turner, Christina Weis

“…The main secondary outcomes were patient-level referral to and attendance at SSME (binary yes/no). Analysis used mixed models to account for patient- and practice-level clustering. …”
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A Systematic Review on the Use of Big Data in Tourism by Jafar Ahangaran, Abbas Sadeghnia

“…This includes the use of methods that change the business model to create more effective and efficient processes toward technology—arguably the most crucial change in exploitation. …”
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Microalbuminuria and Traditional Serum Biomarkers of Nephropathy among Diabetic Patients at Mbarara Regional Referral Hospital in South Western Uganda by Ritah Kiconco, Simon Peter Rugera, Gertrude N. Kiwanuka

“…Urine microalbumin was determined quantitatively using immunoturbidity assay (Microalbumin kit, Mindray). …”
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The Dynamics of Antibody Titres Against SARS-CoV-2 in Vaccinated Healthcare Workers: A Systemic Literature Review by Vilija Gurkšnienė, Tadas Alčauskas, Fausta Majauskaitė, Ligita Jančorienė

“…Re-gardless of the vaccine used, over 95% of the pre-vaccination seronegative population be-came seropositive in all studies. Depending on the sampling intervals provided by the re-searchers, antibody levels were quantitatively highest during the first three months after vaccination, but levels inevitably declined over time. …”
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Integrating machine learning and neural networks for new diagnostic approaches to idiopathic pulmonary fibrosis and immune infiltration research. by Yali Guo, Qian Jin, Yi Kang, Wenwen Jin, Ying Liu, Qian Chen, Jian Liu, Yu Guang Wang

“…<h4>Methods</h4>We choosed datasets from the Gene Expression Omnibus (GEO) database, including samples from both IPF patients and healthy controls. …”
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Ensemble design for seasonal climate predictions: studying extreme Arctic sea ice lows with a rare event algorithm by J. Sauer, F. Massonnet, G. Zappa, F. Ragone

“…However, the significant computational burden of complex climate models makes it challenging to quantitatively investigate extreme events with probabilities below a few percent. …”
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Un outil éthique, automatisé et totalement autonome pour étudier la cognition chez les primates by Jonas Fizet, Adam Rimele, Thierry Pebayle, Jean Christophe Cassel, Christian Kelche, Helene Meunier

“…Il résulte une augmentation de la quantité de données ainsi que de leur qualité, avec notamment l’affranchissement du facteur humain. …”
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Intrinsic immunosuppressive features of monocytes suppress CAR-T19 through IL-1 pathway modulation in mantle cell lymphoma by Kun Yun, R. Leo Sakemura, Ismail Can, Omar Gutierrez Ruiz, Ekene J. Ogbodo, Shuwen Zhang, Ateka Saleh, Truc N. Huynh, Claudia Manriquez Roman, Olivia L. Sirpilla, Carli M. Stewart, James H. Girsch, Jennifer M. Feigin, Long Mai, Hong Xia, Brooke Kimball, Lionel A. Kankeu Fonkoua, Mehrdad Hefazi, Michael W. Ruff, Fariborz Rakhshan Rohakhtar, Vernadette Simon, Elizabeth L. Siegler, Mike Mattie, Sao-Mai Nguyen-Mau, Simone Filosto, Saad S. Kenderian

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RNF31 induces paclitaxel resistance by sustaining ALYREF cytoplasmic–nuclear shuttling in human triple‐negative breast cancer by Shumei Huang, Dongni Shi, Shuqin Dai, Xingyu Jiang, Rui Wang, Muwen Yang, Boyu Chen, Xuwei Chen, Lingzhi Kong, Lixin He, Pinwei Deng, Xiangfu Chen, Chuyong Lin, Yue Li, Jun Li, Libing Song, Yawei Shi, Weidong Wei

“…The synergistic effects of an RNF31 inhibitor plus paclitaxel on TNBC were evaluated. Cox regression models were adopted to assess the prognostic role of RNF31 in TNBC. …”
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Determination of ultra-trace metal-protein interactions in co-formulated monoclonal antibody drug product by SEC-ICP-MS by Laurence Whitty-Léveillé, Zachary L. VanAernum, Jorge Alexander Pavon, Christa Murphy, Katie Neal, William Forest, Xinliu Gao, Wendy Zhong, Douglas D. Richardson, Hillary A. Schuessler

“…Two monoclonal antibodies (mAbs) were coformulated and stored up to nine days in a scaled down model to mimic metal exposure from manufacturing tanks. …”
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Comparative Analysis of Generative Artificial Intelligence Systems in Solving Clinical Pharmacy Problems: Mixed Methods Study by Lulu Li, Pengqiang Du, Xiaojing Huang, Hongwei Zhao, Ming Ni, Meng Yan, Aifeng Wang

“…MethodsForty-eight clinically validated questions were selected via stratified sampling from real-world sources (eg, hospital consultations, clinical case banks, and national pharmacist training databases). …”
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Concordance of chronic conditions among the household members in Shanghai: a cross-sectional study by Jia He, Yingyi Qin, Yibin Guo, Yuanjun Tang, Cheng Wu, Xinji Zhang, Qian He

“…Objectives Members living in the same household tend to share some similar behaviours and environment. We want to quantitatively assess the associations of chronic conditions to investigate the concordance of disease status among the household members.Setting Shanghai, China.Participants Our data were from the fifth Health Service Survey in Shanghai in 2013. 12 002 households with 31 531 residents were selected in this survey by using a three-stage, stratified, random sampling method.Outcome measures Five highly prevalent chronic conditions, namely hypertension, diabetes, ischaemic heart disease (IHD), cerebrovascular disease (CVD) and obesity were chosen. …”
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Soil property variability in a humid natural Mediterranean environment: La Rioja, Spain Varibilidad de las propiedades del suelo en ambiente mediterráneo húmedo: La Rioja, España V... by Raimundo Jiménez-Ballesta, Victoria Íñigo, Marisol S. Andrades, Juan I. Alonso-Martirena, Álvaro Marín

“…For example, many soil properties are directly used in the modelling of environmental processes such as global climate change. …”
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Exploratory profiling of metabolites in cerebrospinal fluid using a commercially available targeted LC-MS based metabolomics kit to discriminate leptomeningeal metastasis by Soojin Jang, Ho-Shin Gwak, Kyue-Yim Lee, Jun Hwa Lee, Kyung-Hee Kim, Jong Heon Kim, Jong Bae Park, Sang Hoon Shin, Heon Yoo, Yun-Sik Dho, Kyu-Chang Wang, Byong Chul Yoo

“…Metabolites detected in > 90% of samples or showing a difference in proportional level between groups ≥ 75% were used in logistic regression models when there was no single metabolite with AUC = 1 for the groups of comparison. …”
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Multi-ancestry genome-wide association analyses incorporating SNP-by-psychosocial interactions identify novel loci for serum lipids by Amy R. Bentley, Michael R. Brown, Solomon K. Musani, Karen L. Schwander, Thomas W. Winkler, Mario Sims, Tuomas O. Kilpeläinen, Hugues Aschard, Traci M. Bartz, Lawrence F. Bielak, Jin-Fang Chai, Kumaraswamy Naidu Chitrala, Nora Franceschini, Mariaelisa Graff, Xiuqing Guo, Fernando P. Hartwig, Andrea R.V.R. Horimoto, Elise Lim, Yongmei Liu, Alisa K. Manning, Ilja M. Nolte, Raymond Noordam, Melissa A. Richard, Albert V. Smith, Yun Ju Sung, Dina Vojinovic, Rujia Wang, Yujie Wang, Mary F. Feitosa, Sarah E. Harris, Leo-Pekka Lyytikäinen, Giorgio Pistis, Rainer Rauramaa, Peter J. van der Most, Erin Ware, Stefan Weiss, Wanqing Wen, Lisa R. Yanek, Dan E. Arking, Donna K. Arnett, Christie Ballantyne, Eric Boerwinkle, Yii-Der Ida Chen, Martha L. Daviglus, Lisa de las Fuentes, Paul S. de Vries, Joseph A. C. Delaney, Amanda M. Fretts, Lynette Ekunwe, Jessica D. Faul, Linda C. Gallo, Sami Heikkinen, Georg Homuth, M. Arfan Ikram, Carmen R. Isasi, Jost Bruno Jonas, Liisa Keltikangas-Järvinen, Pirjo Komulainen, Aldi T. Kraja, Jose E. Krieger, Lenore Launer, Lifelines Cohort Study, Jianjun Liu, Kurt Lohman, Annemarie I. Luik, Ani W. Manichaikul, Pedro Marques-Vidal, Yuri Milaneschi, Stanford E. Mwasongwe, Jeffrey R. O’Connell, Kenneth Rice, Stephen S. Rich, Pamela J. Schreiner, Lars Schwettmann, James M. Shikany, Xiao-ou Shu, Jennifer A. Smith, Harold Snieder, Nona Sotoodehnia, E. Shyong Tai, Kent D. Taylor, Lesley Tinker, Michael Y. Tsai, André G. Uitterlinden, Cornelia M. van Duijn, Diana van Heemst, Melanie Waldenberger, Robert B. Wallace, Hwee-Lin Wee, David R. Weir, Wen-Bin Wei, Ko Willems van Dijk, Gregory Wilson, Jie Yao, Kristin L. Young, Xiaoyu Zhang, Wei Zhao, Xiaofeng Zhu, Alan B. Zonderman, Ian J. Deary, Christian Gieger, Hans Jörgen Grabe, Timo A. Lakka, Terho Lehtimäki, Albertine J. Oldehinkel, Martin Preisig, Ya-Xing Wang, Wei Zheng, Michele K. Evans, Michael Province, James Gauderman, Vilmundur Gudnason, Catharina A. Hartman, Bernardo L. Horta, Sharon L. R. Kardia, Charles Kooperberg, Ching-Ti Liu, Dennis O. Mook-Kanamori, Brenda WJH Penninx, Alexandre C. Pereira, Patricia A. Peyser, Bruce M. Psaty, Jerome I. Rotter, Xueling Sim, Kari E. North, Dabeeru C. Rao, Laura Bierut, Clint L. Miller, Alanna C. Morrison, Charles N. Rotimi, Myriam Fornage, Ervin R. Fox

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Spatial transcriptomics and multi-omics reveal relapse and resistance mechanisms of EndMT-derived CAFs mediated by TNC and FLNC in glioblastoma by Li Ji, Die Xia, Yu Zhou, Yaling Hu, Zhenkun Yang, Ying Yin, Jingjing Wang, Bo Zhang, Lingli Gong, Koukou Li, Jian Zou, Mei Wang

“…Subsequently, the infiltration of CAFs in our formerly established in vivo temozolomide (TMZ)-resistant model was inspected through immunohistochemical staining. …”
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Determination of Residual Behavior of Flufenacet in Wheat and its Dietary Risk Assessment by Liquid Chromatography-Tandem Mass Spectrometry by Jing YANG, Xin-ju WEI, Xiao-long MA, Li JI, Xiao-jing WANG

“…Dietary risk assessment was calculated according to the dietary risk assessment model. The results showed that the daily intake (NEDI) of flufenacet in winter wheat for general population is 0.02687 mg, and the risk entropy of flufenacet is 8.5%, indicating that the dose of flufenacet in wheat does not pose an unacceptable risk to the health of the general population. …”
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