Petrological controls on the engineering properties of carbonate aggregates through a machine learning approach by Javid Hussain, Tehseen Zafar, Xiaodong Fu, Nafees Ali, Jian Chen, Fabrizio Frontalini, Jabir Hussain, Xiao Lina, George Kontakiotis, Olga Koumoutsakou

“…This approach offers significant advantages in the preliminary assessment of aggregate suitability, contributing to more efficient resource allocation in construction projects.…”
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Enhancing AI microscopy for foodborne bacterial classification using adversarial domain adaptation to address optical and biological variability by Siddhartha Bhattacharya, Siddhartha Bhattacharya, Aarham Wasit, Aarham Wasit, J Mason Earles, J Mason Earles, Nitin Nitin, Nitin Nitin, Jiyoon Yi

“…Domain-adversarial neural networks (DANNs) addressed single-target domain variations and multi-DANNs (MDANNs) handled multiple domains simultaneously. EfficientNetV2 backbone provided fine-grained feature extraction suitable for small targets, with few-shot learning enhancing scalability in data-limited domains. …”
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High INtensity Interval Training In pATiEnts with intermittent claudication (INITIATE): protocol for a multicentre, proof-of-concept, prospective interventional study by Gordon McGregor, Chao Huang, Maureen Twiddy, Judith Long, Amy Harwood, Lee Ingle, Saïd Ibeggazene, Sean Pymer, Adam R Nicholls, Sean Carroll, Marjorie Rooms, I C Chetter

“…High-intensity interval training (HIIT) is more time-efficient and therefore has the potential to overcome this barrier. …”
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Plant phenotyping and root‐associated metabolomics reveal insights into pathogen protection by diverse arbuscular mycorrhizal fungi by Natascha V. Weinberger, Ximena Cibils‐Stewart, Chris Brien, Nathaniel Jewell, Bettina Berger, Timothy R. Cavagnaro, Matthias J. Salomon, Meena Mikhael, Jonathan M. Plett, Krista L. Plett, Jeff R. Powell

“…This study reveals that specific AM fungal isolates differ in their ability to enhance tomato growth and reduce biomass losses due to Rhizoctonia solani infection, a major root pathogen. …”
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Beyond <i>xG</i>: A Dual Prediction Model for Analyzing Player Performance Through Expected and Actual Goals in European Soccer Leagues by Davronbek Malikov, Jaeho Kim

“…According to our model’s classification, we categorize top players into two groups: efficient scorers and consistent performers. These precise forecasts can guide strategic decisions, player selection, and training approaches, ultimately enhancing team performance and success.…”
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Naloxone training programs in corporately-owned versus independently-owned Alabama community pharmacies: A pilot cross-sectional survey by Erin Blythe, Nicholas McCormick, Shannon Woods, Karen Pham, Asia White, Hannah Bricker, Sadie Newhouse, Anne Taylor, Lindsey Hohmann

“…Targeted training efforts, including development of educational programs tailored to preferences in pharmacy settings, may lead to more efficient and informed provision of naloxone.…”
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Epidemics In The 21st Century: A Multifaceted Challenge by Shawana Sharif

“…The imperative for robust preparedness, encompassing early detection, rapid response mechanisms, and efficient resource allocation, forms the cornerstone of epidemic management. …”
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Exploration of indigenous Trichoderma species for their use as biofertilizers, optimization of growth conditions and cultivation on cheap substrates by Dhurva Prasad Gauchan, Ashok Kumar Bhattarai, Shishir Pandey, Sunil Bhandari

“…High counts of conidia production on these substrates render MUSH isolate efficient to be used as a BCA by the farmers, to enhance their crop productivity.…”
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Penerapan Object Detection Menggunakan Deep Learning Yolov8 Untuk Mengidentifikasi Sampah Anorganik (Maksimal Sepuluh Objek) Dalam Satu Citra by Visen, Novrido Charibaldi

“…However, the detection ability decreases when the number of waste objects exceeds ten. …”
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Coupling of medium temperature desulfurization and hydrogenation catalysis of Zinc-Cobalt-Molybdenum composite desulfurizer by Xinrui SONG, Yu ZHAO, Yuxiao WANG, Zhelin SU, Jiawei KOU, Chao YANG, Huiling FAN

“…In this study, the desulfurization ability of desulfurizer was improved by molybdenum modification, and the sulfurized products could be used as high efficient catalyst for thiophene hydrogenation. …”
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Characteristics of new flue-cured tobacco strains developed from Yunyan87 mutants and their DNA fingerprint identification by CHEN Tingting, LI Xianfu, JIA Chunlei, AN Xueqin, ZHU Jun, XIAO Lizeng, DAI Xiumei, ZHANG Jiankui

“…PT20213, PT30028, PT30224 and PT30399 were selected from 14 core primers, which gave stable and polymorphic amplification profiles and had efficient identification ability to tobacco varieties. …”
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Resposta de cultivares de alface à salinidade da solução nutritiva com rejeito salino em hidroponia Response of lettuce cultivars to nutrient solution salinity with saline rejects... by Nildo da S Dias, Osvaldo N. de Sousa Neto, Christiano R Cosme, Antonio G. de O Jales, Jonatas R. L Rebouças, André M. de Oliveira

“…<br>In desalination process, besides the potable water, highly salty and polluted water (brine) is generated, which can be used for producing profitable crops depending on the adequate cultural practices as well as on the plant ability of reacting to saline conditions. The trend in recent years has been towards conversion of conventional agriculture to soilless agriculture which is considered to be a more efficient use of water system. …”
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Identification of Exiguobacterium acetylicum by a double real- time polymerase chain reaction assay by GAO Cancan, LIU Jiamei, LI Junjie, LU Zhaoxin, LÜ Fengxia, ZHANG Chong, ZHAO Haizhen, BIE Xiaomei

“…When applied to the fresh-cut leafy vegetables, the assay and the equation could detect rapidly and accurately the CFU on them.In sum, this study establishes an accurate, sensitive and efficient double RT- PCR assay to detect quantitatively food spoilage bacteria E. acetylicum. …”
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Lactylation-related gene signature accurately predicts prognosis and immunotherapy response in gastric cancer by Xuezeng Sun, Haifeng Dong, Rishun Su, Jingyao Chen, Wenchao Li, Songcheng Yin, Changhua Zhang

“…BackgroundGastric cancer (GC) is a malignant tumor associated with significant rates of morbidity and mortality. Hence, developing efficient predictive models and directing clinical interventions in GC is crucial. …”
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The Evaluation of Small-Scale Field Maize Transpiration Rate from UAV Thermal Infrared Images Using Improved Three-Temperature Model by Xiaofei Yang, Zhitao Zhang, Qi Xu, Ning Dong, Xuqian Bai, Yanfu Liu

“…Transpiration is the dominant process driving water loss in crops, significantly influencing their growth, development, and yield. Efficient monitoring of transpiration rate (Tr) is crucial for evaluating crop physiological status and optimizing water management strategies. …”
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Patient Triage and Guidance in Emergency Departments Using Large Language Models: Multimetric Study by Chenxu Wang, Fei Wang, Shuhan Li, Qing-wen Ren, Xiaomei Tan, Yaoyu Fu, Di Liu, Guangwu Qian, Yu Cao, Rong Yin, Kang Li

“… BackgroundEmergency departments (EDs) face significant challenges due to overcrowding, prolonged waiting times, and staff shortages, leading to increased strain on health care systems. Efficient triage systems and accurate departmental guidance are critical for alleviating these pressures. …”
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La evaluación de la participación en equipos de trabajo universitarios (Assessment of participation in higher education team working activities) by María Ángeles Andreu-Andrés, Miguel García-Casas

“…</p><p>(Since among the competences which are most valued by engineering corporations are the ability to make decisions, the capacity for teamwork, one’s initiative and the capacity for solving problems together with an efficient communication, an experience based on active learning and team-working in which participants had to put them into practice was carried out. …”
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Forecasting the development of poultry farming based on time series by Anatolii Kulyk, Katerina Fokina-Mezentseva, Alla Saiun, Daryna Saiun

“…The study successfully applied advanced data science methods to predict changes in poultry population using a number of efficient models. Analysis of historical data allowed us to determine the optimal parameters of the models and obtain forecast values for time periods (months). …”
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Digital mapping of soil erodibility factor in response to land use change using machine learning models by Wudu Abiye, Orhan Dengiz

“…To address this, the study employed digital soil mapping (DSM) and machine learning (ML) models as efficient and cost-effective alternatives to predict soil erodibility and its indices, including clay ratio, critical level of organic matter, crust formation, dispersion ratio, and soil aggregate stability. 50 soil surface samples (0–20 cm depth) were collected from forest, agricultural, and pasture land uses. …”
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Unlocking the Potential of Receptor-Based Approaches in Diabetes Treatment by Mohsina Patwekar, Faheem Patwekar, J. Pavan Kumar, P. Dharani Prasad, Nazia Malik, A. Venkata Badarinath, Prashanth Parupathi, Konatham Teja Kumar Reddy, Selvaraja Elumalai, Zainul Abedeen Ab Samad

“…In conclusion, hope for more efficient, individualized, and secure therapies may come from continuing research and breakthroughs in novel diabetes treatment targets. …”
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