Dissecting the genetic basis of fruiting efficiency for genetic enhancement of harvest index, grain number, and yield in wheat by Dipendra Shahi, Jia Guo, Md Ali Babar, Sumit Pradhan, Muhsin AVCI, Jordan McBreen, Zhao Liu, Guihua Bai, Paul St. Amand, Amy Bernardo, Matthew Reynolds, Gemma Molero, Sivakumar Sukumaran, John Foulkes, Jahangir Khan

“…Fruiting efficiency (FE) is a key trait for increasing GN by making more spike assimilates available to reproductive structures. …”
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Construction of a Dataset for All Expressed Transcripts for Alzheimer’s Disease Research by Zhenyu Huang, Bocheng Shi, Xuechen Mu, Siyu Qiao, Gangyi Xiao, Yan Wang, Ying Xu

“…Accurate identification and functional annotation of splicing isoforms and non-coding RNAs (lncRNAs), alongside full-length protein-encoding transcripts, are critical for understanding gene (mis)regulation and metabolic reprogramming in Alzheimer’s disease (AD). …”
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Machine learning-based prediction of FeNi nanoparticle magnetization by Federico Williamson, Nadhir Naciff, Carlos Catania, Gonzalo dos Santos, Nicolás Amigo, Eduardo M. Bringa

“…More than 1600 NPs were created and split into training and testing sets (70%–30% split), with features including the number of Ni/Fe surface and core atoms, potential energy distributions, pair correlation functions, and coordination distributions. …”
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EMG-based body–machine interface for targeted trunk muscle activation by Carolina Correia, Andrea Bandini, Silvestro Micera, Sara Moccia

“…The system utilizes machine learning to generate personalized trunk motion trajectories based on predefined EMG profiles. …”
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Carbon and water footprints within an environmental laboratory: Water, energy, and packaging management strategies by María F. Manobanda-Lisintuña, Cristina A. Villamar-Ayala

“…Environmental laboratories can be spaces where water, energy, and resources can be used more efficiently. The objective of this study is to evaluate the carbon and water footprints present in an environmental laboratory based on water, energy, and resource (packaging) management. …”
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Uncovering soil compaction: performance of electrical and electromagnetic geophysical methods by A. Carrera, A. Carrera, L. Peruzzo, M. Longo, G. Cassiani, F. Morari

“…</p> <p>In this study, we compared the ability of electric and electromagnetic geophysical methods, i.e., electrical resistivity tomography (ERT) and frequency-domain electromagnetic (FDEM) method, to assess the effects caused by both heavy plastic soil deformations generated by a super-heavy vehicle and the more common tractor tramlines on silty-loam soils. …”
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FADA-SMOTE-Ms: Fuzzy Adaptative Smote-Based Methods by Roudani Mohammed, El Moutaouakil Karim

“…In this regard, the <inline-formula> <tex-math notation="LaTeX">$\alpha $ </tex-math></inline-formula>-SMOTE is chosen in such a way that the synthetic data is as far as possible from the two closest majority data. More precisely, this method processes into six steps: (a) clustering minority class into <italic>k</italic> groups (b) selecting a safe region (c) selecting random two minority data, (d) finding the M closest majority data to these minority data using original membership functions based on Fuzzy mean and flirting results, (e) finding the <inline-formula> <tex-math notation="LaTeX">$\alpha $ </tex-math></inline-formula>-SMOTE producing a synthetic data as close as possible to the minority class and as far as possible from the M majority data by solving a very simple multi-objective mathematical optimization model, and (f) using SMOTE to generate synthetic samples using optimal <inline-formula> <tex-math notation="LaTeX">$\alpha $ </tex-math></inline-formula>-SMOTE. …”
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235 Root cause analysis of barriers and facilitators to accrual to a pragmatic, EHR-embedded clinical trial by Lindsay Lennox, Bethany M Kwan, Adit A Ginde, Thomas W. Flaig, Sarah V Kautz, Matthew Mimnall, Andrew Nicklwsky, Goldie Komaie, Christine Velez, Aaron Babour, Laurie Blmberg-Romero, Cecilia C. Low Wang

“…We summarized data from the EHR by eligibility, provider encounters, and alerts, and generated CONSORT diagrams and tables to trace the enrollment pathway. …”
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Sky cooling for LED streetlights by Saichao Dang, Hasan H. Almahfoudh, Abdulrahman M. Alajlan, Hussam Qasem, Jiake Wang, Yingkun Zhu, Osman M. Bakr, Boon S. Ooi, Qiaoqiang Gan

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DFT Study of Initial Surface Reactions in Gallium Nitride Atomic Layer Deposition Using Trimethylgallium and Ammonia by P. Pungboon Pansila, Seckson Sukhasena, Saksit Sukprasong, Worasitti Sriboon, Wipawee Temnuch, Tongsai Jamnongkan, Tanabat Promjun

“…The initial surface reaction of gallium nitride (GaN) grown by atomic layer deposition (GaN-ALD) was investigated using density functional theory (DFT) calculations. Trimethylgallium (TMG) and ammonia (NH₃) were used as gallium (Ga) and nitrogen (N) precursors, respectively. …”
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Revisiting Cosa (Ansedonia, Italy): contributions of SAR-X images from the PAZ satellite to non-invasive archaeological prospecting by José Ignacio Fiz Fernández, Pere Manel Martín Serrano, Maria Mercè Grau Salvat, Antoni Cartes Reverté

“…As an addition, the Digital Terrain Model (DTM) Light Detection And Ranging (LiDAR) of the Region of Tuscany was used, on which various functions of the Relief Visualization Tool (RVT) programme have been applied, complementing or contrasting the results. …”
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Explainable Self-Supervised Dynamic Neuroimaging Using Time Reversal by Zafar Iqbal, Md. Mahfuzur Rahman, Usman Mahmood, Qasim Zia, Zening Fu, Vince D. Calhoun, Sergey Plis

“…Objective: Functional magnetic resonance imaging data pose significant challenges due to their inherently noisy and complex nature, making traditional statistical models less effective in capturing predictive features. …”
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Selisistat, a SIRT1 inhibitor, enhances paclitaxel activity in luminal and triple-negative breast cancer: in silico, in vitro, and in vivo studies by Anna Wawruszak, Jarogniew Luszczki, Damian Bartuzi, Joanna Kalafut, Estera Okon, Arkadiusz Czerwonka, Andrzej Stepulak

“…The co-treatment of EX527 with PAX generated desirable additive drug-drug interaction. …”
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Vitamin C, Sugar Content, Color Intensity and Some Physicochemical Properties of Watermelon and Orange Peels by Selvican Gökçe, İsa Arslan Karakütük, Memnune Şengül

“…Objective: Peels generated as waste during the consumption and processing of fruits and vegetables contribute to both nutritional losses and environmental pollution. …”
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Environmental Levels and Degradation Behavior of Pharmaceuticals and Personal Care Products (PPCPs) in the Water Environment by Zhaohe ZHANG, Dian CHEN, Wei ZHAO, Guoli YUAN, Jun LI, Xingchun JIAO

“…In general, photodegradation and biodegradation are more common than hydrolysis. In surface water, many PPCPs have avoided the strict biodegradation environment of wastewater treatment, and photochemistry may have a greater effect than the biodegradation under sunlight, in which antibiotics are mainly photodegraded in the water environment; ibuprofen, iopromide and caffeine are more prone to biodegradation; esters and amides are the most common functional groups that are easily hydrolyzed in PPCPs[63], and tetracycline can undergo hydrolysis reactions due to adsorption into sediments. …”
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Muscle Fat and Volume Differences in People With Hip‐Related Pain Compared With Controls: A Machine Learning Approach by Chris Stewart, Evert O. Wesselink, Zuzana Perraton, Kenneth A. Weber II, Matthew G. King, Joanne L. Kemp, Benjamin F. Mentiplay, Kay M. Crossley, James M. Elliott, Joshua J. Heerey, Mark J. Scholes, Peter R. Lawrenson, Chris Calabrese, Adam I. Semciw

“…These changes may facilitate greater muscular efficiency for a given load, enabling the athlete to maintain their normal level of function. In addition, the CNNs for muscle segmentation was more efficient and demonstrated excellent reliability in comparison to manual segmentations.…”
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Silvopastoral systems as an alternative for conser-vation of dung beetles (Coleoptera: Scarabaeinae) in a cattle landscape in Caucasia Colombia by Patricia Duque-Vélez, Martha Olivera-Angel, Marta Wolff

“…The SPS was the environment with the greatest diversity of qD and functional groups after the forest ecosystem. It was more diverse than pasture, 30 % to 50 % richer in species and 10 % to 50 % more diverse in 1D and 2D. …”
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Small-scale heterogeneity of soil properties in farmland affected fava beans growth through rhizosphere differential metabolites and microorganisms by Linbin Wang, Yufeng Wu, Zhi-Bo Zhao, Tingsheng Jia

“…Furthermore, 11 microbial genera involved in these metabolic pathways, and these genera were differentially enriched between the two groups and significantly correlated with fava beans growth. …”
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Increased nuclear factor I-mediated chromatin access drives transition to androgen receptor splice variant dependence in prostate cancer by Larysa Poluben, Mannan Nouri, Jiaqian Liang, Shaoyong Chen, Andreas Varkaris, Betul Ersoy-Fazlioglu, Olga Voznesensky, Irene I. Lee, Xintao Qiu, Laura Cato, Ji-Heui Seo, Matthew L. Freedman, Adam G. Sowalsky, Nathan A. Lack, Eva Corey, Peter S. Nelson, Myles Brown, Henry W. Long, Joshua W. Russo, Steven P. Balk

“…AR and nuclear factor I (NFI) motifs are most enriched at more accessible sites, and NFIB/X knockdown greatly diminishes ARv7 function. …”
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BRAF inhibitor resistance of melanoma cells triggers increased susceptibility to natural killer cell-mediated lysis by Antoine Toubert, Eric Pasmant, Alexandra Frazao, Louise Rethacker, Géraldine Jeudy, Marina Colombo, Marie-Françoise Avril, Helene Moins-Teisserenc, Marie Roelens, Sophie Dalac, Eve Maubec, Anne Caignard

“…Soluble NKG2D ligands known to regulate the receptor function have been associated to cancer progression. …”
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