The local environment influences salt tolerance differently in four Salicornia europaea L. inland populations by Aleksandra Orzoł, Katarzyna Głowacka, Ricarda Pätsch, Agnieszka Piernik, Susana Dianey Gallegos-Cerda, Stefany Cárdenas-Pérez

“…This study is essential for advancing saline agriculture, developing restoration strategies for saline areas, and exploring S. europaea as a potential functional food. The strong association between halophyte salinity tolerance, high biomass production, and enhanced cellular antioxidant defenses highlights its resilience and suitability for these applications.…”
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Machine Learning‐Assisted Prediction and Generation of Antimicrobial Peptides by Sukhvir Kaur Bhangu, Nicholas Welch, Morgan Lewis, Fanyi Li, Brint Gardner, Helmut Thissen, Wioleta Kowalczyk

“…In summary, in silico predictive and generative models for functional motif and AMP discovery are powerful tools for engineering highly effective AMPs to combat multidrug resistant pathogens.…”
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Computational insights into 2-(aminooxy)butanoic acid's potential as a therapeutic agent against Alzheimer's disease and Progesterone receptor by R.T. Usha, A. Prabakaran, Uma Maheswari Chandramohan, T. Gnanasambandan

“…Utilizing advanced computational approaches, including density functional theory with dispersion correction (DFT-D3) and molecular dynamics (MD) simulations, along with MMPBSA calculations, we investigated the molecular recognition, potential energy landscapes, and geometrical parameters governing ligand-protein interactions. …”
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Performance assessment of planar membrane dehumidifiers: Influence of flow configuration and wet-side conditions in crossflow design by Wen-Ken Li, Shih-Pin Yang, Nien-Tsu Chou

“…Overall, the crossflow configuration maintained consistent and reliable performance under diverse operational scenarios, establishing it as a functional and energy-prudent approach to managing humidity and a sound choice for dehumidification.…”
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Integrated safety management system based on intelligent analysis of thousand eyes video by Wangcong DANG, Bo DONG, Jiani QIAO, Wen LEI, Ganggui FENG

“…The system architecture and advantages were introduced, with a focus on the functional modules of “thousand eyes” big data safety analysis and decision-making, “thousand eyes” AR+AI augmented reality intelligent scene analysis, big data intelligent risk control analysis, “thousand eyes” intelligent video platform, AR+AI augmented reality intelligent scene analysis, device intelligent control linkage protection decision-making, and comprehensive safety management. …”
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Structural, Mechanical, Electronic, and Optical Properties of CsCdX3 (X = Cl, Br, and I): A Comparative Study Using First Principle Calculation by Md. Al Momin, Md. Rafiqul Islam, Md. Amran Sarker, Md. Solayman, Razia Khan Sharme, Md. Rasidul Islam, Sohail Ahmad

“…We performed this calculation using the general gradient approximation (GGA) scheme within the Perdew–Berke–Ernzerhof (PBE) functional, which is carried out by the Cambridge Serial Total Energy Package (CASTEP) system. …”
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First-Principles Calculations to Investigate Structural, Electronic, Mechanical, Optical, and Magnetic Properties of RhNbSb Half-Heusler Compound by Adem Beriso Bejo, Megersa Wodajo Shura, Kumneger Tadele, Fekadu Tolessa Maremi, Mesfin Asfaw Afrassa, Kunsa Haho Habura

“…In this work, the structural, mechanical, electronic, optical and magnetic properties of the RhNbSb half-Heusler compound were examined and analyzed using density functional theory (DFT). According to the results, type I atomic arrangement is structurally the most stable for the compound. …”
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Exploring Nonlinear Threshold Effects and Interactions Between Built Environment and Urban Vitality at the Block Level Using Machine Learning by Cong Li, Yajuan Zhou, Manfei Wu, Jiayue Xu, Xin Fu

“…The results showed the following: (1) Xi’an’s urban vitality exhibited a distinct gradient, with the highest vitality concentrated in the Yanta District; (2) life service facility density was the most significant determinant of vitality (19.91%), followed by air quality (9.01%) and functional diversity (6.49%); and (3) significant interactions among built environment factors were observed. …”
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Utilizing Artificial Intelligence for Microbiome Decision-Making: Autism Spectrum Disorder in Children from Bosnia and Herzegovina by Džana Bašić-Čičak, Jasminka Hasić Telalović, Lejla Pašić

“…Additionally, we developed machine learning classifiers to differentiate between the two groups using microbial abundance and predicted functional pathways. Methods: A total of 60 gut microbiome samples (16S rRNA sequences) were analyzed, with 44 from children with ASD and 16 from neurotypical children. …”
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Machine learning approaches reveal methylation signatures associated with pediatric acute myeloid leukemia recurrence by Yushuang Dong, HuiPing Liao, Feiming Huang, YuSheng Bao, Wei Guo, Zhen Tan

“…Several important methylation features, such as modifications in SLC45A4, S100PBP, TSPAN9, PTPRG, ERBB4, and PRKCZ, emerged from the intersection of all feature selection algorithms. Functional enrichment analysis indicated these genes participate in biological processes, including calcium-mediated signaling and regulation of binding. …”
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Heart Rate Variability-Based Stress Detection and Fall Risk Monitoring During Daily Activities: A Machine Learning Approach by Ines Belhaj Messaoud, Ornwipa Thamsuwan

“…Data were collected from 14 healthy participants who wore a Polar H10 heart rate monitor and performed Berg Balance Scale activities as part of an assessment of functional balance. Machine learning techniques applied to the collected data included two phases: unsupervised clustering and supervised classification. …”
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Global patterns and drivers of species and genera richness of Fabaceae by Sazada Siddiqui

“…The Fabaceae, a highly diverse and ecologically vital plant family, thrives across diverse biomes with remarkable nitrogen-fixation potential and functional adaptability. Despite its key role in global carbon and nitrogen cycles, the biogeographic patterns and environmental drivers of this important family remain understudied compared to other major angiosperm families. …”
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Parameter estimation for allometric trophic network models: A variational Bayesian inverse problem approach by Maria Tirronen, Anna Kuparinen

“…To reduce the number of estimated parameters, we focus on the inference of functional response parameters. Our variational Bayesian method yields parameter estimates that are comparable to the ordinary least squares results in terms of accuracy. …”
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Investigation of Na-ion battery applicability and supercapacitance properties of ZrCr2 alloyed with Na: a first-principles study by Fatemeh Shirvani, Mohammad Reza Jafari, Aliasghar Shokri

“…Moreover, its alloy with Na in replacement of Cr atoms ( $$\hbox {ZrNa}_{0.5}\hbox {Cr}_{1.5}$$ ) has been structured in order to prove Na-ion battery applicability and supercapacitance behavior as a hybrid energy material. The density functional theory with the general gradient approximation has been used for the present work calculations. …”
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Candida albicans ISW2 Regulates Chlamydospore Suspensor Cell Formation and Virulence In Vivo in a Mouse Model of Disseminated Candidiasis. by Dhammika H M L P Navarathna, Ruvini U Pathirana, Michail S Lionakis, Kenneth W Nickerson, David D Roberts

“…Formation of chlamydospores by Candida albicans was an established medical diagnostic test to confirm candidiasis before the molecular era. However, the functional role and pathological relevance of this in vitro morphological transition to pathogenesis in vivo remain unclear. …”
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A Triple Threat: A Case Report Detailing Surgical Management for Hypertrophic Cardiomyopathy, Flail Mitral Valve and Severe Pulmonary Hypertension by Cass G. G. Sunga, Kai-Chun Yang, Shakirat Oyetunji, Erik R. Swenson, Kavita Khaira

“…The patient was evaluated by a multi-disciplinary team and underwent extended septal myectomy and mitral valve repair with significant improvement in functional capacity post-operatively. <b>Conclusions</b>: While pulmonary hypertension increases the risk of morbidity and mortality during cardiopulmonary bypass, moderate-to-severe pulmonary hypertension in hypertrophic cardiomyopathy with outflow tract obstruction is a unique indication for septal reduction therapy that may not be associated with higher surgical mortality.…”
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Development of Machine Learning Models to Categorize Life Satisfaction in Older Adults in Korea by Suyeong Bae, Mi Jung Lee, Ickpyo Hong

“…We employed 5 ML models to classify the life satisfaction of older adults living alone: logistic Lasso regression, decision tree-based classification and regression tree (CART), C5.0, random forest, and extreme gradient boost (XGBoost). The variables used as predictors included demographics, health status, functional abilities, environmental factors, and activity participation. …”
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Four-dimensional flow magnetic resonance assessment of alcohol septal ablation for hypertrophic obstructive cardiomyopathy and surgical valve replacement for aortic valve stenosis by Rie Aoyama, Shinichi Okino, Shigeru Fukuzawa

“…TKE loss improved from 7.0 ± 2.0 to 5.0 ± 0.1 mW (p &lt; 0.05) and New York Heart Association functional class significantly improved from 2.2 ± 0.5 to 1.1 ± 0.3 (p &lt; 0.001) by ASA.ConclusionsThe release of valvular or muscular stenosis has different effects on intra-LV blood flow. …”
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Transcatheter mitral valve replacement to treat rheumatic mitral stenosis: a case series by Ping Jin, Hong Guo, Yu Mao, Mengen Zhai, Yang Liu, Jian Yang

“…The median postoperative peak velocity decreased to 1.4 m/s (range 1.1–1.7 m/s), and the median pressure gradient decreased to 3 mmHg (range 2–3 mmHg). No deaths occurred at the 30-day follow-up, and all patients had an improvement of ≥1 on the New York Heart Association functional rating.ConclusionsOur early experience with TMVR in RMS patients suggests that it is a safe and feasible procedure. …”
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Fine structure of the doublet P levels of boron by Saeed Nasiri, Dmitry Tumakov, Monika Stanke, Andrzej Kędziorski, Ludwik Adamowicz, Sergiy Bubin

“…The nonrelativistic wave function of each of the states is generated in an independent variational calculation by expanding it in terms of a large number, 12000–17000, of all-electron explicitly correlated Gaussian (ECG) functions whose nonlinear parameters are extensively optimized with a procedure that employs analytic energy gradient determined with respect to these parameters. …”
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