The carbon cost of impaired welfare on sheep farms by L. Lanzoni, M.C. Reeves, K. Waxenberg, R. Ramsey, A.S. Atzori, J. Bell, R.M. Rees, G. Vignola, C.M. Dwyer

“…Gross farm emissions and product-level EIs demonstrated divergent patterns in response to impaired welfare. Most impaired welfare scenarios led to a slight decrease in total farm emissions (0.03–3%), with a few exceptions. …”
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β-Catenin mediated TAM phenotype promotes pancreatic cancer metastasis via the OSM/STAT3/LOXL2 axis by Yijia Zhang, Xinya Zhu, Liyuan Chen, Tianyu Gao, Guang Chen, Jin Zhu, Guoyu Wang, Daiying Zuo

“…However, the molecular mechanisms by which tumor-associated macrophages (TAMs) promote PDAC progression, particularly the role of β-catenin signaling in regulating TAM phenotype and function, remain incompletely understood.Initially, we performed comprehensive analyses of RNA-seq and single-cell RNA-seq (scRNA-seq) datasets to investigate OSM and LOXL2 expression patterns in PDAC. Subsequently, the regulatory relationship between β-catenin and OSM in TAMs was examined using THP-1-derived macrophages. …”
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Rewilding beech-dominated temperate forest ecosystems: effects on carbon stocks and biodiversity indicators by Markuljaková K, Mikoláš M, Svitok M, Meigs GW, Keeton WS, Kozák D, Pavlin J, Gloor R, Kalaš M, Ferenčík M, Ralhan D, Frankovič M, Hofmeister J, Dúhová D, Mejstrík M, Dušátko M, Veber A, Knír T, Svoboda M

“…We emphasise that forest heterogeneity, encompassing factors such as tree age and diameter, canopy layer, species composition, and growth patterns, are important for enabling managed forests to reach peak carbon storage capacity. …”
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Relationship between pharmacotherapy for major depressive disorder and healthcare utilisation in British Columbia, Canada: a retrospective population-based cohort by Sonya Cressman, Louisa Edwards, Kimberlyn McGrail, Stirling Bryan, Alison Hoens, Rohit Vijh, Sandra Peterson, Zeina Waheed, Mary Bunka, Nick Pang, Shahzad Ghanbarian, Gavin Wong, Linda Riches, Jehannine Austin

“…Objectives To describe the population that meets the criteria for major depressive disorder (MDD) in British Columbia (BC), compare patterns of healthcare utilisation between those with MDD who are and are not prescribed pharmacotherapy, and assess these relationships in models that control for potential confounding variables.Design We used a population cross-sectional study design among a cohort of individuals living with MDD and examined the relationship between pharmacotherapy and healthcare utilisation between 2019 and 2020 using linked billing and administrative data.Setting This study identified individuals with MDD using a validated case definition of International Classification of Diseases (ICD) codes in BC, Canada.Participants The final study cohort included 549 029 adult participants who met the MDD case definition.Explanatory variable Explanatory variable was the use of prescription antidepressant medication during the study period, based on BC PharmaNet data.Covariates Covariates include sociodemographic characteristics (age, sex, urban/rural residence, neighbourhood income quintile and comorbidities).Primary outcome measure Primary outcome measure was healthcare utilisation (outpatient physician visits, emergency department (ED) visits and hospitalisations).Results We stratified our analysis based on whether study participants were classified as ‘recently incident’ or ‘actively prevalent’. …”
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Detection of cervical precancerous lesions and cancer by small-scale RT-qPCR analysis of oppositely deregulated mRNAs pairs in cytological smears by Anastasia A. Artyukh, Mikhail K. Ivanov, Mikhail K. Ivanov, Sergei E. Titov, Sergei E. Titov, Victoria V. Dzyubenko, Sergey E. Krasilnikov, Sergey E. Krasilnikov, Anastasia O. Shumeikina, Anastasia O. Shumeikina, Anastasia O. Shumeikina, Nikita A. Afanasev, Anastasia V. Malek, Sergei A. Glushkov, Eduard F. Agletdinov

“…Many scientific papers have shown that the expression patterns of cellular mRNAs reflect the severity of the lesion, and their analysis in cervical smears may outperform HPV testing in terms of diagnostic specificity. …”
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Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study by Sudeshna Das, Yao Ge, Yuting Guo, Swati Rajwal, JaMor Hairston, Jeanne Powell, Drew Walker, Snigdha Peddireddy, Sahithi Lakamana, Selen Bozkurt, Matthew Reyna, Reza Sameni, Yunyu Xiao, Sangmi Kim, Rasheeta Chandler, Natalie Hernandez, Danielle Mowery, Rachel Wightman, Jennifer Love, Anthony Spadaro, Jeanmarie Perrone, Abeed Sarker

“… BackgroundThe increasing use of social media to share lived and living experiences of substance use presents a unique opportunity to obtain information on side effects, use patterns, and opinions on novel psychoactive substances. …”
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Clinicians’ user experience with health information exchange technologies during simulated medication reconciliation by Himalaya Patel, April Savoy, Steven L. Sanchez, Morgan Traylor, Khoa A. Nguyen, Kenneth S. Boockvar, Vincent S. Fan, Emily R. Locke, Bryan Gibson, Amanda S. Mixon, Susan H. Byerly, David A. Haggstrom, Teresa M. Damush, Michael Weiner, Alissa L. Russ-Jara

“…Through simulated medication reconciliation tasks, our objective was to characterize clinicians’ user experience with HIE technologies, and to identify requirements for future HIE technologies from clinicians’ current use patterns. Methods: Our simulation-based observational study included three successive generations of HIE technologies used in the U.S. …”
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Assessment of Antibiotic Resistance Among Isolates of <i>Klebsiella</i> spp. and <i>Raoultella</i> spp. in Wildlife and Their Environment from Portugal: A Positive Epidemiologic Ou... by Carolina Sabença, Rani de la Rivière, Paulo Barros, João Alexandre Cabral, Roberto Sargo, Luís Sousa, Maria de Lurdes Enes Dapkevicius, Filipe Silva, Filipa Lopes, Ana Carolina Abrantes, Madalena Vieira-Pinto, Manuela Caniça, Gilberto Igrejas, Carmen Torres, Patrícia Poeta

“…Evaluating antibiotic resistance in wildlife and their environments is crucial, as it offers essential insights into the dynamics of resistance patterns and promotes strategies for monitoring, prevention, and intervention. …”
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Single-cell profiling of SLC family transporters: uncovering the role of SLC7A1 in osteosarcoma by Yan Liao, Junkai Chen, Hao Yao, Ting Zheng, Jian Tu, Weidong Chen, ZeHao Guo, Yutong Zou, Lili Wen, Xianbiao Xie

“…Results SLCs displayed distinct expression patterns across various cell types within the osteosarcoma microenvironment, with myeloid cells exhibiting a preference for amino acid uptake. …”
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First assessment of biofouling assemblages in the northern Red Sea, an important region for marine non-indigenous species transfer by Juan Sempere-Valverde, Juan Sempere-Valverde, Eva Aylagas, Vitaly Syomin, Vitaly Syomin, Marcos A. L. Teixeira, Glafira D. Kolbasova, Glafira D. Kolbasova, Sofía Ruiz-Velasco, Sahar Chebaane, Arthur Anker, João Curdia, Ronald Cadiz, Dylan M. Cottrell, Andrea Desiderato, Luiz F. Andrade, Chakkiath Paul Antony, Carolina Bocanegra-Castano, Matilde Marzucchi, Angelo Poliseno, Doaa Baker, Basmah Alabdulaziz, Flor Torres, Ameer A. Eweida, Ameer A. Eweida, Susana Carvalho, Susana Carvalho

“…The environmental characteristics of each site were obtained by deploying temperature data loggers and through an environmental risk assessment.ResultsCommunity patterns observed from the PhQd and bulk DNA datasets revealed a clear separation of two sites within Sharma lagoon from the remaining sites. …”
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Identification of the crucial circ-mi-mRNA interaction networks regulating testicular development and spermatogenesis in ganders by Xiaopeng Li, Xiaoyong He, Guibi Li, Zhujun Wang, Fuli Huang, Jiasen Chen, Yang Song, Tanze Liu, Zhaoyan Chen, Xiangfeng Wang, Jiwei Hu, Hua He, Hehe Liu, Liang Li, Jiwen Wang, Shenqiang Hu

“…In the present study, we firstly compared the morphological and histological differences in the testes of ganders from normozoospermic group (NG) and azoospermic group (AG), and then analyzed the testicular expression patterns of circRNAs, miRNAs, and mRNAs between the two groups by using whole-transcriptome sequencing technology. …”
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Spatio-temporal dynamics of speleothem growth and glaciation in the British Isles by S. Panitz, S. Panitz, M. Rogerson, J. Longman, N. Scroxton, T. J. Lawson, T. C. Atkinson, V. Ersek, J. Baldini, L. Baldini, S. Umbo, M. A. Lone, G. M. Henderson, S. F. M. Breitenbach

“…A pronounced decline in speleothem growth coincides with the Last Glacial Maximum before broad reactivation during deglaciation and into the Holocene. Spatio-temporal patterns in speleothem growth between 31 and 15 ka agree well with the surface-deposit-based reconstruction of the last BIIS. …”
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Syphilis reactivity among blood donors in Brazil: associated factors and implications for public health monitoring by Natalia A. Braga, Sheila de Oliveira Garcia Mateos, Renata Buccheri, Vivian I. Avelino-Silva, Donald E. Warden, Cesar de Almeida-Neto, Maisa Ribeiro, Luiz Amorim, Paula Loureiro, Nelson Fraiji, Marcio K. Oikawa, Eduard Grebe, Mars Stone, Ester C. Sabino, Brian Custer, for the NHLBI Recipient Epidemiology and Donor Evaluation Study-IV-Pediatric (REDS-IV-P)

“…Syphilis occurrence among blood donors can be used to assess disease patterns in low-risk populations.…”
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Age-related differences of subjective visual vertical perception in adults—a functional near-infrared spectroscopy study by Jun Lu, Jun Lu, Xiang Gong, Meng-Huan Wang, Ruo-Xin Zhao, Yu-Chen Wang, Ying-Ying Shen, Rong Cao, Guang-Xu Xu, Guang-Xu Xu

“…Correlational analyses link modified SVV metrics to the activation levels of various brain regions, with negative correlations observed in both age groups, and a unique positive correlation with the left inferior frontal gyrus of the triangular part (IFGtriang) in young participants.ConclusionYoung individuals outperform the older individuals in SVV performance due to age-related differences in brain functional patterns during the execution of vertical perception judgment. …”
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Association between gestational weight gain and adverse pregnancy outcomes: cohort analysis from South Asia and Sub-Saharan Africa by Anisur Rahman, Fyezah Jehan, Gary M Shaw, Sunil Sazawal, Salahuddin Ahmed, Abdullah H Baqui, David K Stevenson, Monjur Rahman, Jesmin Pervin, Shaki Aktar, Rasheda Khanam, Sayedur Rahman, Nitya Wadhwa, Ge Zhang, Huan Xu, Usma Mehmood, Shinjini Bhatnagar, Jeffrey S A Stringer, Bellington Vwalika, Waqasuddin Khan, Nabidul Haque Chowdhury, Imran Nisar, Javairia Khalid, Nima Aghaeepour, U Tin Nu, Yuri V Sebastião, Ramachandran Thiruvengadam, Ayushi, Bapu Koundinya Desiraju, Fatma Kabole, Muhammad Farrukh Qazi, Margaret Kasaro, Bihila Abdalla Bakari

“…Introduction Studies of gestational weight gain (GWG) and adverse pregnancy outcomes seldom focus on low-to-middle-income countries (LMICs), despite their high burden of morbidity and mortality. We examined GWG patterns and adverse pregnancy outcomes in a consortium of pregnancy cohorts from LMICs.Methods We analysed data from five observational pregnancy cohorts in Bangladesh (two cohorts), India, Pakistan and Zambia. …”
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Development of a territory-wide household-based composite index for measuring relative distribution of households by economic status in individual small areas throughout Hong Kong by Eva L.H. Tsui, Philip L.H. Yu, K. F. Lam, Kelvin K.Y. Poon, Adam C.M. Ng, K. Y. Cheung, Winnie Li, Michael L.H. Leung, David H.Y. Lam, James L.Y. Cheng, Sharon P.W. Ng

“…Their relative distribution was summarized in a three-dimensional ternary plot to distinguish patterns across the 2,252 SSUGs within the 18 administrative districts. …”
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Exploring Mortality and Prognostic Factors of Heart Failure with In-Hospital and Emergency Patients by Electronic Medical Records: A Machine Learning Approach by Yu CS, Wu JL, Shih CM, Chiu KL, Chen YD, Chang TH

“…To improve the explainability of the AI models, Shapley Additive Explanations methods were also conducted.Conclusion: Exploring HF mortality and its patterns related to clinical risk factors by machine learning models can help physicians make appropriate decisions when monitoring HF patients’ health quality in the hospital.Keywords: mortality, risk factor, cardiovascular disease, multivariate statistical analysis, machine learning, artificial intelligence…”
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Leveraging machine learning to uncover multi-pathogen infection dynamics across co-distributed frog families by Daniele L. F. Wiley, Kadie N. Omlor, Ariadna S. Torres López, Celina M. Eberle, Anna E. Savage, Matthew S. Atkinson, Lisa N. Barrow

“…Efforts to understand what drives patterns of pathogen prevalence and differential responses among species are challenging because numerous factors related to the host, pathogen, and their shared environment can influence infection dynamics. …”
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Validation Indicator Identification and Customer Ranking in Microloans: A Study at Middle East Bank in Iran by Azadeh Ahmadi Kousha, Faegh Ahmadi, Mohammad Hossein Ranjbar, Hamidreza Kordlouie

“…Naive Bayes, Meta, Attribute Selected Classifier, and j48 algorithms were implemented and WEKA software was used to classify criteria and create patterns. Also, to evaluate the validation model and ranking of customers of unsupported microlending, the T-test was used at the significance level of 0.25. …”
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Gender Incidence in the Salary of Informal Workers for the Management of Socioeconomic Strategies by E. Melendres Medina, M. Campaña Lara, B. Riera Riera, J. Orozco Carrillo

“…The strategy identified to promote equity in the recognition and value of fair work without distinction of gender was based on the following elements: the implementation of inclusion policies and control, training of young women in non-traditional trades, promotion of changes in traditional patterns in households, and policies to combat poverty with a gender focus for sustainable social development. …”
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