Machine learning predicts prognosis in patients with gastroenteropancreatic neuroendocrine tumors with liver metastases by Fuli Gao, Jian Chen, Xiaodan Xu

“…In the testing set, it maintained robust performance (C-index: 0.785; AUC: 0.855/0.859/0.841). The five most influential variables in the RSF model were tumor grade, surgical intervention, tumor site, age, and histology. …”
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Forecasting dengue across Brazil with LSTM neural networks and SHAP-driven lagged climate and spatial effects by Xiang Chen, Paula Moraga

“…Method An LSTM-based model was developed to forecast dengue cases across Brazil’s 27 federal states, incorporating a comprehensive set of climate and spatial variables. SHAP was used to identify and select the most important lagged climate predictors. …”
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Predictive modelling of burnout among Kazakhstani English teacher candidates by A. B. Zhetpisbayeva, A. Ye. Seilkhanova, G. B. Sarzhanova, E. Cem, B. R. Ospanova

“…This period acts as a proxy variable for predicting future teachers’ burnout rates. …”
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Spatiotemporal changes of landslide susceptibility in response to rainfall and its future prediction — A case study of Sichuan Province, China by Hao Zheng, Mingtao Ding

“…This change has heightened the risk of rainfall-induced landslides, which are the most prevalent natural disasters in the mountainous regions of southwestern China. …”
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Llama antibody fragments recognizing various epitopes of the CD4bs neutralize a broad range of HIV-1 subtypes A, B and C. by Nika Strokappe, Agnieszka Szynol, Marlèn Aasa-Chapman, Andrea Gorlani, Anna Forsman Quigley, David Lutje Hulsik, Lei Chen, Robin Weiss, Hans de Haard, Theo Verrips

“…Many of the neutralising antibodies, isolated to date, display limited activities against the globally most prevalent HIV-1 subtypes A and C. Therefore, those subtypes are considered to be an important target for antibody-based therapy. …”
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A high-resolution map of coastal vegetation for two Arctic Alaskan parklands: An object-oriented approach with point training data. by Celia J Hampton-Miller, Peter N Neitlich, David K Swanson

“…Elevation is highly correlated with the ordination of the vegetation types, and was the most important variable in all tested classification models. …”
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Predicting patent challenges for small-molecule drugs: A cross-sectional study. by Ally Memedovich, Brian Steele, Taylor Orr, Shanzeh Chaudhry, Mina Tadrous, Aaron S Kesselheim, Aidan Hollis, Reed F Beall

“…Of the 210 new small-molecule drugs included in the sample, 55% experienced initiation of patent challenge within the first year of eligibility. Market value was the most important predictor variable, with larger markets being more likely to be associated with patent challenges. …”
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Influence of time conditions on the soil temperature indicators in Kazakhstan by Maira Kussainova, Maxat Toishimanov1, Anel Syzdyk, Timur Tamenov, Nursultan Nurgali, Jiquan Chen

“…The soil temperature warmed up most significantly between 12 PM and 6 PM (8.6-17.3 °С). …”
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What impact does agricultural animal traction have on soil health? Preliminary experimentation in organic market gardening by Fabienne Boivin, Stéphane Ruy, Claude Doussan, Annette Bérard

“…Compaction is one of the most serious forms of soil degradation, and animal traction could limit this phenomenon, which reduces water infiltration into the soil and disrupts biological communities (including micro-organisms), and animal traction could limit this phenomenon. …”
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Through a gender lens: a scoping review of gendered experiences of AMR causes, burden and workforce in Nigeria by Ayodele Oluwakemi Majekodunmi, Mabel Kamweli Aworh, Esteller Mbadiwe, Kikiope Oluwafikemi Oluwarore, Mwapu Dika Ndahi, Dooshima Kwange

“…Antimicrobial Resistance has a very high impact on women and girls as they form the majority of health workers at community level as well as being the main care givers and livestock custodians in the home, most likely to prescribe, purchase or administer antibiotics. …”
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Farm Characteristics and Cradle to Farm Gate Beef Carbon Footprint of Grass-based Beef Cattle Fattening Farms in Colombia by Johana Leiva Méndez, Ricardo González Quintero, María Solange Sánchez Pinzón, Belloncy Gallego, Maribel Echeverry Tangarife, Antonio Duque Ramírez, Sebastián Castrillón Mojica, Rolando Barahona Rosales

“…Average daily gain (ADG) was the variable that most influenced the magnitude of the CF. …”
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The influence of patriarchal cultural factors on pregnancy complications (antepartum hemorrhage) at Mitra Medika General Hospital, Bandar Klippa, Indonesia by Liyana Simamora, Zata Ismah, Susilawati

“…Multivariate analysis revealed that the family support variable was the most dominant risk factor with an Exp (B) value of 8.230 in causing antepartum hemorrhage. …”
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Spatial–Temporal Characterization of Microplastics in the Surface Water of an Urban Ephemeral River by Andre Felton, Salem Farner, Logan Day, Sue Ellen Gibbs-Huerta, Briaunna Zamarripa, Jeffrey Hutchinson

“…Fibers were the most abundant (~87%) morphology followed by foams (7%). …”
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Nanometer-Ranged Interfacial Interactions of the VRFB-Cell Electrolyte Species: An Implication of Molecular Dynamics Simulation by Anant Babu Marahatta

“…In the large-scale energy storage technological sectors and many other state-of-the-art renewable energy subsidy policies, the vanadium redox flow battery (VRFB) stands as a low variable cost yet promising electrochemical assembly applicable to convert “all-vanadium” electrolyte stored chemical energy into electrical energy. …”
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AESware: Developing AES-enabled low-power multicore processors leveraging open RISC-V cores with a shared lightweight AES accelerator by Eunjin Choi, Jina Park, Kyuseung Han, Woojoo Lee

“…And importantly, we propose the most energy-efficient architecture for multicore processors equipped with AESware. …”
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An acute aortic dissection prognostic score for predicting early in-hospital mortality in acute thoracic aortic dissection by Satoshi Kimura, Hiroaki Sato, Shohei Shimajiri, Toshiyuki Nakayama

“…The AST/LD, which was associated with cardiac troponin I, was the most significant variable. An average positive value from each test was defined as an acute aortic dissection prognostic score (AAD-PS). …”
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Impact of maternal intrapartum antibiotics on the initial oral microbiome of neonates by Hongping Li, Bin Xiao, Yong Zhang, Shanqiu Xiao, Jun Luo, Weimin Huang

“…Oral microbiome profiles were determined by 16S rRNA sequencing based on the V3V4 hyper-variable regions. Results: Phylum Firmicutes was most frequently detected in subjects both groups and a higher frequency was observed in the NT group than the AT group. …”
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Optimizing chickpea yield prediction under wilt disease through synergistic integration of biophysical and image parameters using machine learning models by RN Singh, P. Krishnan, C. Bharadwaj, Sonam Sah, B. Das

“…NDVI was identified as most important variable for yield prediction. The findings of the study quantified the impacts of wilt on important crop biophysical parameters and highlighted the suitability of ML models in early yield prediction under different levels of disease severity.…”
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Continuing exposure to disadvantageous material and perceived economic factors on self-rated health in different life stages: fixed effects analyses with data from the German Socio... by Tobias Rähse, Matthias Richter, Anja Knöchelmann

“…Results The analyses showed accumulation processes associated with housing status, financial worries and income satisfaction impacting SRH across most life stages. The effects of continuing exposure to occupational worries, housing satisfaction, housing quality, and loan burdens were more variable, indicating accumulation processes in certain life stages and sex-specific variations. …”
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التقلبات في مستويات السيولة واثرها في التضخم by ليلى بديوي مطوق

“…Abstract The central banking careful attention in determining the levels of liquidity (bank and local) in the economy, trying to make the cash flow stream commensurate with the trading needs in order to avoid inflationary pressures on the one hand and maintaining the stability of the local currency on the other hand, the study examined the relationship between bank liquidity, local liquidity Kmngaran independent and inflation as the dependent variable was applied to the Iraqi economy for the period of (2001-2013), and the results showed that they conform with the logic of economic theory which affected bank liquidity inversely to inflation, which is due to that bank liquidity in Iraq longer Mahtgerh and restricted funds from trading because most commercial banks is the state-owned banks need approvals from the executive authorities and the Parliamentary loans to launch, as well as domestic liquidity associated with an inverse relationship with inflation, which dates back to the domestic liquidity affected by the financial policy of the state while inflation influenced by central bank measures to control the exchange rate and currency auction. …”
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