Labour precariousness in the Mexican health workforce: taking to the surface a neglected problematic issue by Gustavo Nigenda, Edson Serván-Mori, Patricia Aristizabal, Rosa Amarilis Zárate-Grajales, Germán Fajardo-Dolci, Rafael Lozano

“…Abstract Background Little attention has been paid to quantifying job precariousness among health workers in low- and middle-income countries. Analytical models of human resources for health omit work precarity as a relevant phenomenon. …”
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Production of Biodiesel from Mixed Castor Seed and Microalgae Oils: Optimization of the Production and Fuel Quality Assessment by Dejene Beyene, Mohammedsani Abdulkadir, Adisu Befekadu

“…Validation experiments conducted under the optimum conditions resulted in the biodiesel yield of 92.36%, which is very close to the model predicted value. Various standard methods were used to characterize the biodiesel produced under optimum conditions, and it was found compatible with ASTM 751 and EN14214 biodiesel standards.…”
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Debiased Learning via Composed Conceptual Sensitivity Regularization by Sunghwan Joo, Taesup Moon

“…In this paper, we propose Composite Conceptual Sensitivity Regularization (CCSR), a novel method designed to address these limitations. …”
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Machine learning metallic glass critical cooling rates through elemental and molecular simulation based featurization by Lane E. Schultz, Benjamin Afflerbach, Paul M. Voyles, Dane Morgan

“…We demonstrate with Shapley additive explanation analysis that the most impactful features have physically reasonable influence on model predictions. The established methodology can be applied to other high-throughput studies of material properties of diverse compositions.…”
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Synthesis and properties of 2-(4-phenyl-5-(((5-phenylamino-1,3,4-thiadiazole-2-yl)thio)methyl)-1,2,4-triazole-3-yl)thio)ethanoic acid and its salts by A. S. Hotsulia, S. O. Fedotov

“…Estimation of the biological potential of the obtained compounds by molecular modeling method. Materials and methods. 4-Phenyl-5-(((5-phenylamino-1,3,4-thiadiazole-2-yl)thio)methyl)-1,2,4-triazole-3-thiol, which was synthesized by the classical method described in earlier works, was used as a key intermediate. …”
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A systematic review on machine learning-aided design of engineered biochar for soil and water contaminant removal by Yunpeng Ge, Kaiyang Ying, Guo Yu, Muhammad Ubaid Ali, Abubakr M. Idris, Abubakr M. Idris, Asfandyar Shahab, Habib Ullah, Habib Ullah

“…The paper emphasizes how ML models—such as Random Forest (RF) and Gradient Boosting Regression (GBR)—elucidate the nonlinear links between pyrolysis conditions (temperature, feedstock composition) and biochar performance. …”
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Electroacupuncture modulates the gut-brain axis via the PI3K/Akt pathway to improve feeding behavior, body weight, glucolipid metabolism, and reduce insulin resistance in T2DM rats by Shaoyang Liu, Shuting Zhuang, Rui Li, Haoru Duan

“…The research aims to reveal the mechanisms underlying EA’s therapeutic effects and to investigate a novel strategy for managing T2DM. Methods To induce T2DM in rat models, a high-fat diet and intraperitoneal injection of streptozotocin (STZ) were used. …”
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Ruta montana L. from Morocco: comprehensive phytochemical analysis and exploration of its antioxidant, antimicrobial, anti-inflammatory and analgesic properties by Mohamed El Ouardi, Mohamed El Ouardi, Aziz Drioiche, Aziz Drioiche, Imane Tagnaout, Aicha Benouahi, Aicha Benouahi, Omkulthom AL kamaly, Abdelaaty Abdelaziz Shahat, El Makhoukhi Fadoua, El Makhoukhi Fadoua, Handaq Nadia, Sevser Sahpaz, Touriya Zair, Mohamed Alaoui Belghiti

“…Antimicrobial activity was assessed using minimum inhibitory concentration (MIC) assays, while antioxidant potential was evaluated using the DPPH radical scavenging method. Analgesic and anti-inflammatory effects were tested using abdominal writhing and edema inhibition models, respectively. …”
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Enabling Robust Exoplanet Atmospheric Retrievals with Gaussian Processes by Yoav Rotman, Luis Welbanks, Michael R. Line, Peter McGill, Michael Radica, Matthew C. Nixon

“…To address these limitations, we introduce a Gaussian process (GP)-aided atmospheric retrieval framework that flexibly accounts for unmodeled features and correlated noise in exoplanet spectra. We validate this method on synthetic JWST observations, and show that GP-aided retrievals reduce bias in inferred abundances and better capture model–data mismatches than traditional approaches. …”
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Analysis of the Airframe Repair Node by Marek Rośkowicz, Iga Barca

“…The boundary conditions were defined by means of an articulated frame using the possibilities of the computing environment in the scope of, defining elements among others. The model was initially verified experimentally, assuming that it can be used to carry out a comparative analysis of two methods of repairing a damaged plate, using CFRP (Carbon Fiber Reinforced Polymer) and GFRP (Glass Fiber Reinforced Polymer) materials. …”
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Near infrared spectroscopy analysis as a screening tool to classify milk from bovine subclinical mastitis and promote pathogen-based therapy by Pablo Rodríguez-Hernández, Nieves Núñez-Sánchez, Silvia Molina-Gay, Vicente Rodríguez-Estévez, Fernando Cardoso-Toset

“…The objective of this study was to evaluate near infrared spectroscopy (NIRS) analysis of milk samples as a screening method to discriminate SBM aetiology and promote pathogen-based therapy using predictive models. …”
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Research on the soil fractal characteristics and their correlation with soil properties in various forest types: insights from sub-humid area in Northern China by Yige Wang, Xiangyang Sun, Suyan Li, Bin Wei

“…The results indicated that the soil layer composition of forests were mainly sand (> 40%), followed by silt (> 25%) and clay (> 15%). …”
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Pore structure and fractal characteristics of shale reservoirs in Jurassic Lianggaoshan Formation, northeastern Sichuan Basin by Qi LI, Ruiqian CHEN, Fei SHANG, Ling LI, Xin BAI

“…The average fractal dimension D1 of large pores, calculated using the water saturation method, averages 2.991 2, while that of small pores (D2) averages 2.679 2. …”
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In Vivo Evaluation of the Analgesic and Anti-Inflammatory Activity of <i>Thymus numidicus</i> Essential Oil by Ouardia Chaouchi, Velislava Todorova, Stanislava Ivanova, Elizabet Dzhambazova, Farida Fernane, Nacira Daoudi Zerrouki, Lyudmil Peychev, Kremena Saracheva, Michaela Shishmanova-Doseva, Zhivko Peychev

“…This study aimed to compare the chemical composition of essential oils (EOs) extracted from leaves and flowers using the gas chromatography–mass spectrometry method, as well as to investigate its analgesic and anti-inflammatory activities. …”
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Ginger-derived carbon quantum dots as sustainable inhibitor of steel corrosion and barite precipitation by B. A. Abd-El-Nabey, S. El-Housseiny, D. E. Abd-El-Khalek, M. A. Abd-El-Fatah

“…Abstract A one-step pyrolysis was used to synthesize ginger carbon quantum dots (G-CDs), which were described using XPS, FTIR, XRD, EDX, and TEM to validate the different integrated functions, particle dimension, morphology, component composition, amorphous construction, and bonding types. …”
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Assessing the effects of reaction variables for enhanced chromium(III) adsorption efficiency using beidellite clay by Abduraboh Alraae, Ali Moussadik, Abdellah Benzaouak, Mohammed Kacimi, Mohammed Dahhou, Aicha Sifou, Adnane El Hamidi

“…Experimental data were modeled using Langmuir, Freundlich, and Sips isotherms, with the Langmuir model providing the best fit (R2 = 0.971), indicating homogeneous monolayer adsorption. …”
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Synergistic effect of Co3O4/CdAl2O4 nanocomposite for photocatalytic decontamination of organic dyes under visible light irradiation by Zahra araei, Mohsen ghorbani

“…This study synthesized a Co3O4/CdAl2O4 nanocomposite using a hydrothermal method to remove Direct Blue and Basic Yellow organic dyes from aqueous media. …”
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Data-driven machine learning with lattice distortion and thermodynamic parameters guided strength optimization of refractory high-entropy alloys by Shujian Ding, Yifan Zhang, Siyang Lei, Xiang Weng, Wenhui Li, Wei Ren, Jian Chen, Weili Wang

“…The development of refractory high-entropy alloys (RHEAs) through conventional trial-and-error approaches I s highly inefficient given the vast compositional space. To address this difficulty, a data-driven machine learning (ML) model was established to predict the compressive yield strength (σ0.2) of RHEAs, which provides a design strategy with two pivotal descriptors concerning lattice distortion and thermodynamic parameters. …”
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Environmentally friendly synthesis of nanoporous silica materials using quercetin as a morphogenetic agent by A.R. Zare Hoseinabadi, E. Rafiei Taqanaki, S. Hafez Ghoran, A.M. Amani, H. Kamyab, A. Razmfarsa, E. Khalili, M. Yusuf, S. Rajendran

“…The composition of this supramolecular framework leads to unconventional and variable pore structures. …”
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TGF-β3 promotes vascular normalization of prostate cancer to potentiate immunotherapy and chemotherapy by Qiliang Teng, Niu Wang, Hanqi Lei, Tongyu Tong, Yupeng Guan, Mengjun Huang, Fei Cao, Bin Xu, Jia Yang, Yimian Huo, Wenping Chen, Ran Bi, Xuanqi Wang, Zhenyu Wang, Fu-Ying Tian, Bo Zhao, Jun Pang

“…The antitumor effect of TGF-β3 and its combination with immunochemotherapy was observed by subcutaneous xenograft tumor model. RNA-seq of mouse tumor tissues identified differentially expressed genes (DEGs) that were enriched in vascular biological processes. …”
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