Resisting epistemic violence in global mental health: Listening to local understandings of mental health and emotional distress among victims and ex-guerrilla members in Southern C... by María Cecilia Dedios Sanguineti, Laura Fonseca, Rochelle A. Burgess, Natalia Concha, Mónica González, Norha Vera San Juan, Mónica Carreño, Kely Johana Palacio, María Fernanda Sotto, Sandra Jovchelovitch

“…Central to this effort is to open hegemonic biomedical models to transformational dialogues that integrate the perspective and needs of the communities we work with. …”
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Preliminary Evaluation of the HOBO Data Logging Rain Gauge at the Chuzhou Hydrological Experiment Station, China by Zehui Zhou, Bin Yong, Jiufu Liu, Aimin Liao, Niu Wang, Ziwei Zhu, Dekai Lu, Wang Li, Jianyun Zhang

“…To quantify the measurement accuracy of the RG3-M gauge, a standard Manual Gauge (MG) and eight other models of tipping bucket rain gauges were installed at the Chuzhou hydrological experiment station of China. …”
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Which variables are associated with recruitment failure? A nationwide review on obstetrical and gynaecological multicentre RCTs (2003–2023) by Ben W Mol, Madelon van Wely, L Ramos, J J Duvekot, J B Derks, Fulco van der Veen, Ruben Duijnhoven, H J van Beekhuizen, M J E Mourits, J A M van der Post, E Pajkrt, M A Oudijk, H C J Scheepers, Mariette Goddijn, J Huirne, Marijke C van der Weide, A Kwee, C Willekes, M Y Bongers, Judith Rikken, Romee Casteleijn, S Middeldorp, I M Custers, M P Lambregtse – van den Berg, V Mijatovic, F J M Broekmans, A Hoek, J P de Bruin, M H Mochtar, S Mastenbroek, J P W R Roovers, F Mol, A Vollebregt, C H van der Vaart, K B Kluivers, M E Vierhout, R C Painter, P M A J Geomini

“…The most relevant variables for recruitment failure in multivariable risk prediction modelling were presence of a no-treatment arm (where treatment is standard clinical practice), a compensation fee of less than €200 per included patient, funding of less than €350 000, while a preceding pilot study lowered this risk.Conclusions We identified that the presence of a no-treatment arm, low funding and a low compensation fee per included patient were the most relevant risk factors for recruitment failure within the preplanned period, while a preceding pilot study lowered this risk. …”
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A thermo-responsive chitosan-based injectable hydrogel for delivery of curcumin-loaded polycaprolactone microspheres to articular cartilage: in-vitro and in-vivo assessments by Farnoosh Kalantarnia, Sasan Maleki, Amir Shamloo, Kazem Akbarnataj, Sayed Navid Tavoosi

“…In-vivo evaluations on rabbit models indicated significant cartilage regeneration, evidenced by improved locomotion behavior and accelerated cartilage formation with minimized defect boundaries. …”
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Spatiotemporal analysis of the association between residential eviction and fatal overdose in Rhode Island by Jennifer Ahern, Magdalena Cerdá, William C Goedel, Elizabeth A Samuels, Yu Li, Alexandria Macmadu, Benjamin D Hallowell, Kathryn M Leifheit, Alexandra Skinner, Victoria Jent, Bennett Allen, Abigail R Cartus, Claire Pratty, Brandon DL Marshall

“…We sought to evaluate the spatiotemporal relationship between neighbourhood-level residential eviction rates and overdose mortality in Rhode Island (RI) before and during a statewide eviction moratorium in response to COVID-19.Methods We conducted an ecological study at the census tract level in RI (N=240) by modelling the association between quintiles of eviction rates and fatal overdose rates from 2016 to 2021. …”
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CME Magnetic Structure and IMF Preconditioning Affecting SEP Transport by Erika Palmerio, Emilia K. J. Kilpua, Olivier Witasse, David Barnes, Beatriz Sánchez‐Cano, Andreas J. Weiss, Teresa Nieves‐Chinchilla, Christian Möstl, Lan K. Jian, Marilena Mierla, Andrei N. Zhukov, Jingnan Guo, Luciano Rodriguez, Patrick J. Lowrance, Alexey Isavnin, Lucile Turc, Yoshifumi Futaana, Mats Holmström

“…After observing the May 11 CME using remote‐sensing data from three viewpoints, we evaluate its propagation through interplanetary space using several models. Then, we analyze in‐situ measurements from five predicted impact locations (Venus, Earth, the Spitzer Space Telescope, the Mars Science Laboratory en route to Mars, and Mars) in order to search for CME signatures. …”
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The Stress and Adversity Inventory for Adults (Adult STRAIN) in Korean: Initial Validation and Associations with Psychiatric Disorders by Eun Soo Kim, Yun Tae Kim, Kang-Seob Oh, Young Chul Shin, Sang-Won Jeon, Dong-Won Shin, Sung Joon Cho, George M. Slavich, Junhyung Kim

“…We assessed concurrent validity using Pearson’s correlations, predictive validity using multiple regression models, and comparative predictive validity using multivariate logistic regression to identify participants with lifetime psychiatric diagnoses. …”
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Finite-Time Output Robust Control for Restricted Joint Flight Emulator Robotic Arm With Adaptive Tangent Barrier Gains by Isaac Chairez, Alejandra Hernandez-Sanchez, Caridad Mireles, Arthur Mukhamedov, Grigory Bugriy, Stepan Lemak, Viktor Chertopolokhov

“…Experimental assessments demonstrate that the barrier controller effectively tracks reference trajectories despite modeling uncertainties and implementation challenges, thereby validating the proposed controller.…”
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Methionine-driven methylation modification overcomes plasmid-mediated high-level tigecycline resistance by Dan Fang, Tianqi Xu, Fulei Li, Yue Sun, Jingyi Sun, Yanqing Yin, Haijie Zhang, Zhiqiang Wang, Yuan Liu

“…Consistently, the potentiation of Met to tigecycline is abolished in tet(X4)-carrying E. coli Δdcm but restored in dcm-complementary bacteria, which encodes DNA-cytosine methyltransferase. In multiple animal models of infection, Met markedly potentiates the effectiveness of tigecycline against pathogenic E. coli and K. pneumoniae. …”
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Toxicological assessment of citral and geraniol: Efflux pump inhibition in Staphylococcus aureus and invertebrate toxicity by Gildênia Alves de Araújo, Cícera Datiane de Morais Oliveira Tintino, Raimundo Luíz Silva Pereira, Isaac Moura Araújo, Cícera Laura Roque Paulo, João Arthur de Oliveira Borges, Ewerton Yago de Sousa Rodrigues, Ângella Eduarda da Silva, Francisco Assis Bezerra da Cunha, Zildene de Sousa Silveira, Nair Silva Macedo, Henrique Douglas Melo Coutinho, José Maria Barbosa Filho, Daniela Maria do Amaral Ferraz Navarro, Francisco Roberto de Azevedo, Saulo Relison Tintino

“…This study aimed to evaluate the antibacterial activity against multi-drug-resistant strains carrying efflux pumps and assess their toxicity on Drosophila melanogaster and Aedes aegypti models. Microdilution tests in broth were performed to determine the Minimum Inhibitory Concentration (MIC). …”
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Patchoulene Epoxide Isolated from Patchouli Oil Suppresses Acute Inflammation through Inhibition of NF-κB and Downregulation of COX-2/iNOS by Jia-Li Liang, Jia-Zhen Wu, Yu-Hong Liu, Zhen-Biao Zhang, Qi-Duan Wu, Han-Bin Chen, Yan-Feng Huang, Yao-Xing Dou, Jiang-Tao Zhou, Zi-Ren Su, Janis Ya-Xian Zhan

“…Therefore, the present study aimed to evaluate the potential anti-inflammatory activity with three in vivo inflammatory models: xylene-induced ear edema, acetic acid-induced vascular permeability, and carrageenan-induced paw edema. …”
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Association of Methylenetetrahydrofolate Reductase C677T Gene Polymorphisms with Mild Cognitive Impairment Susceptibility: A Systematic Review and Meta-Analysis by Jiahui Sun, Xuefan Jiang, Ming Zhao, Lina Ma, Hui Pei, Nanyang Liu, Hao Li

“…There was no significant association between MTHFR C677T (rs1801133) gene variants and MCI susceptibility under the allelic (OR, 1.318; 95% CI, 0.964–1.801; p=0.084), dominant (OR, 1.296; 95% CI, 0.925–1.817; p=0.132), recessive (OR, 1.397; 95% CI, 0.845–2.312; p=0.193), heterozygous (OR, 1.031; 95% CI, 0.855–1.243; p=0.749), or homozygous (OR, 1.506; 95% CI, 0.850–2.667; p=0.160) models. Conclusion. The results suggest that MTHFR C677T (rs1801133) gene polymorphisms are not associated with MCI susceptibility. …”
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Efficacy and Safety of a Combination of Enteral and Parenteral Nutrition Support in the Postoperative Period for Patients with Gastrointestinal Cancer: A Systematic Review and Meta... by Meixiang Cai, Bo Yang, Yaping Zheng, Lei Ding

“…Fixed- and random-effects models were chosen according to the heterogeneity of variables for the synthesis of results. …”
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A Mutation in DAOA Modifies the Age of Onset in PSEN1 E280A Alzheimer’s Disease by Jorge I. Vélez, Dora Rivera, Claudio A. Mastronardi, Hardip R. Patel, Carlos Tobón, Andrés Villegas, Yeping Cai, Simon Easteal, Francisco Lopera, Mauricio Arcos-Burgos

“…Multiloci linear mixed-effects models were used to test the association between these variants and AOO. …”
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Optic Nerve Sheath Diameter in Predicting the Neurological Outcomes of Cardiac Arrest Survivors: A Systematic Review and Meta-analysis by Parisa Jafari Khouzani, Erfan Rahmani, Mehdi Rezaei, Sasan Pohrbagher Benam, Atousa Moghadam Fard, Reza Amani-Beni, Maziar Daneshvar, Faezeh Jalayer Sarnaghy, Naghme Masoomi Goodarzi, Ramila Abedi Azar, Amirhossein Mirbolook, Peyman Bashghareh, Elham Bibak, Babak Goodarzi, Zahra Salarinezhad, Reza Zahedpasha, Marzieh Hajizaman, Negar Pourhossein Rahmani, Azam Darvishi, Alireza Hadizadeh, Fatemeh Zandi, Ashkan Azizi, Armin Naderi, Sepideh Shah Hosseini, Asie Sanjary, Mozhdeh Mohammadi Virsoudi, Habibollah Afshang, Seyedsaber Mirabdali, Navid Fathalian, Pouria Momeni, Mahsan Valizade, Fateme Nozari, Hamed Ghorbani, Sanam Mohammadzadeh, Seyed Kiavash Sajadi, Azam Abdollahi, Mehrdad Farrokhi

“…Based on the heterogeneity evaluation results, fixed or random effects models were used to estimate the pooled diagnostic parameters. …”
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Advancing Alzheimer’s Diagnosis: The Role of AI - A Review by Dominka Rehan, Sven Solisch, Anna Blazhkova, Anna Susłow, Adam Szwed, Ewa Szczęsna

“…Optical coherence tomography (OCT) and OCT angiography (OCTA) combined with AI models offer an opportunity for cost-effective and rapid diagnostic pathways for AD. …”
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Food consumption associated with depression, anxiety and stress in students entering a public university by Maria Eduarda Ribeiro José, Ivy Evangelista Costa Ramos, Taciana Maia de Sousa, Daniela Silva Canella

“…Adjusted logistic regression models estimated the Odds Ratio (OR) of the association between symptoms of depression, anxiety and stress (outcomes) and food consumption (exposures), with a significance level of 5%. …”
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Increasing Dose of Autologous Bone Marrow Mononuclear Cells Transplantation Is Related to Stroke Outcome: Results from a Pooled Analysis of Two Clinical Trials by Francisco Moniche, Paulo Henrique Rosado-de-Castro, Irene Escudero, Elena Zapata, Francisco Javier de la Torre Laviana, Rosalia Mendez-Otero, Magdalena Carmona, Pilar Piñero, Alejandro Bustamante, Lucía Lebrato, Juan Antonio Cabezas, Alejandro Gonzalez, Grabriel R. de Freitas, Joan Montaner

“…BM-MNC transplantation improves recovery in experimental models of ischemic stroke. Clinical trials are ongoing to test efficacy in stroke patients. …”
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CPT1 deficiency blocks autophagic flux to promote lipid accumulation induced by co-exposure to polystyrene microplastic and cadmium by Zhixuan Chen, Huayi Qu, Jian Sun, Tao Wang, Yan Yuan, Yan Yuan, Yan Yuan, Jianhong Gu, Jianhong Gu, Jianhong Gu, Jianchun Bian, Jianchun Bian, Jianchun Bian, Zongping Liu, Zongping Liu, Zongping Liu, Hui Zou, Hui Zou, Hui Zou

“…Key unanswered questions include specific effects on liver function and potential mechanisms.MethodsIn this study, C57BL/6 mice and AML12 cells were used to establish in vivo and in vitro models to elucidate the effects of combined exposure to PS-MPs and Cd on the liver and their mechanisms.ResultsThe results showed that the combined effects of PS-MPs and Cd caused significantly more liver damage than exposure alone. …”
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Application of Big Data Technology to Assessments of Female Ovarian Reserve Dysfunction by Xia Ji'An, Ma YunFei, Wu YiYun, Zhao YouLin, Ni HaoRang, Liu XinYan

“…Hadoop and Spark frameworks were used to build a big data platform, and the MLlib parallel machine learning library was used to implement three multivariate classification models—multilayer perceptron, one-vs-rest, and random forest classifiers—to classify and analyse the ovarian reserve function dataset and evaluate the platform’s performance. …”
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