Digital mapping of soil salinity with time-windows features optimization and ensemble learning model by Shuaishuai Shi, Nan Wang, Songchao Chen, Bifeng Hu, Jie Peng, Zhou Shi

“…This study proposes a data mining approach using Sentinel-1 time-series data, integrating time-series decomposition and feature selection to capture seasonal and trend components correlated with soil salinity, and determine optimal time windows and effective time spans. …”
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The Conceptual Domain of Hunting and Its Negative Representation in Love: A Cognitive-Cultural Analysis by Raheleh Gandomkar, Masoomeh Hashemi

“…These metaphors employ linguistic expressions such as hunting, snapping, enthralling, grabbing, snatching, ensnaring, catching, trapping, capturing, enslaving, and harnessing to convey a negative emotional connotation, regardless of whether the subject is a man or a woman. …”
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Death trends for 2010 - 2022 for members of a large private medical scheme in South Africa by L Steenkamp, S Collie, T A Moultrie, H Moultrie, G Gray

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Diabetes Fact Sheets in Korea 2024 by Se Eun Park, Seung-Hyun Ko, Ji Yoon Kim, Kyuho Kim, Joon Ho Moon, Nam Hoon Kim, Kyung Do Han, Sung Hee Choi, Bong Soo Cha

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Income Dynamics and Risk of Colorectal Cancer in Individuals With Type 2 Diabetes: A Nationwide Population-based Cohort Study by Yong-Moon Mark Park, Benjamin C. Amick III, Pearl A. McElfish, Clare C. Brown, Mario Schootman, Marie-Rachelle Narcisse, Seong-Su Lee, Yoon Jin Choi, Kyungdo Han

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A Study on Lower Limb Movement Intention Recognition Based on Multi-Source Information Fusion by Siyu Zong, Wei Li, Dawen Sun, Xiaojie Wei, Junjie Chen, Zhengwei Yue, Daxue Sun

“…By integrating the sEMG signal and lower limb joint angle information, the system can more accurately capture the patient’s movement intention and realize more precise lower limb rehabilitation training.…”
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Soil preferential flow dynamics in the southern drylands of India—a watershed based approach by Pushpanjali, K. S. Reddy, Ashish S. Dhimate, K. Karthikeyan, Josily Samuel, A. G. K. Reddy, N. Ravi Kumar, K. V. Rao, Prabhat Kumar Pankaj, Jagriti Rohit, Manoranjan Kumar, V. K. Singh

“…Vertical profile images were captured using a Canon EOS 1300D digital camera, producing high-resolution images (5184 × 3456 pixels). …”
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Feasibility study of a randomised controlled trial of preoperative and postoperative nutritional supplementation in major lung surgery by Amelia Swift, Sebastian T Lugg, Babu Naidu, Nikolaos Efstathiou, Amy Kerr, Hazem Fallouh, Maninder Kalkat, Richard Steyn, Salma Kadiri, Ehab Bishay, Krishna Kholia, Venessa Rogers

“…Patients felt the questionnaires captured their experience of recovery from surgery well.Conclusion A large multicentre randomised controlled trial of nutritional intervention in major lung surgery is feasible and required to test clinical efficacy in improving outcomes after surgery.Trial registration number ISRCTN16535341.…”
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Workflow for Conflict and Reinforcement Identification Based on STPA and STRIDE by Andrei Carniel, Juliana de Melo Bezerra, Celso Massaki Hirata

“…CPSs involve processing and storage units, mechanical and electrical components, sensors, actuators, and communication networks, having software as the dominant part of this integration. …”
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Effects of biochar on soil respiration mediated by rainfall events: evidence from one-year field experiment in an urban forest by Haoran Zu, Zijun Deng, Xin Liu, Junyi Luo, Ying Chen, Meiling Yi, Xiao Wang, Xiaocui Liang, Xiang Zhang, Wende Yan

“…Abstract Background Biochar is widely recognized for its capacity to capture and store carbon in soil attributed to its stable structure. …”
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Eye reactions under the influence of drugs of abuse as measured by smartphones: a controlled clinical study in healthy volunteers by Kiki W. K. Kuijpers, Karl Andersson, Karl Andersson, Maria Winkvist, Marieke Niesters, Monique van Velzen, Fred Nyberg, Albert Dahan, Markku D. Hämäläinen

“…Still, comprehensive quantitative evaluations under known ambient light conditions are lacking, when smartphones are used for monitoring.MethodsIn this clinical study (NCT05731999), four medicinal products with addiction risks were administered to 48 subjects (18–70 years old, all with informed consent, 12 subjects per drug). Videos captured by smartphones at ~50 lux and ~ 500 lux documented the eye’s reaction before and after controlled intake of single doses of oral oxycodone (20 mg), lorazepam (2 mg), lisdexamphetamine (70 mg) and inhaled cannabis flos (65 mg with 22% THC) over a 5-h test period. …”
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Impact of the COVID-19 pandemic on type 2 diabetes care and factors associated with care disruption in Kenya and Tanzania by Richard E. Sanya, Caroline H. Karugu, Peter Binyaruka, Shukri F. Mohamed, Lyagamula Kisia, Peter Kibe, Irene Mashasi, Grace Mhalu, Christopher Bunn, Manuela Deidda, Frances S. Mair, Eleanor Grieve, Cindy M. Gray, Sally Mtenga, Gershim Asiki

“…Data were collected in February–April 2022 reflecting experiences at two time-points, three months before and the three months most affected by the COVID-19 pandemic. A questionnaire captured data on blood glucose testing, changes in medication prescription and access, and healthcare provider access. …”
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Evaluation of Machine Learning Models for Stress Symptom Classification of Cucumber Seedlings Grown in a Controlled Environment by Kyu-Ho Lee, Samsuzzaman, Md Nasim Reza, Sumaiya Islam, Shahriar Ahmed, Yeon Jin Cho, Dong Hee Noh, Sun-Ok Chung

“…A cost-effective RGB camera, integrated with a microcontroller, captured images from the top of the seedlings over a two-week period, from which sequential forward floating selection (SFFS) and correlation matrices were used to streamline feature extraction. …”
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Transforming Non-Digital, Clinical Workflows to Detect and Track Vision-Threatening Diabetic Retinopathy via a Digital Platform Integrating Artificial Intelligence: Implementation... by Peranut Chotcomwongse, Paisan Ruamviboonsuk, Chaiwat Karavapitayakul, Koblarp Thongthong, Anyarak Amornpetchsathaporn, Methaphon Chainakul, Malee Triprachanath, Eckachai Lerdpanyawattananukul, Niracha Arjkongharn, Varis Ruamviboonsuk, Nattaporn Vongsa, Pawin Pakaymaskul, Turean Waiwaree, Hathaiphan Ruampunpong, Richa Tiwari, Viroj Tangcharoensathien

“…Methods We conducted the following processes in the platform for prospective DR screening at a community hospital: capturing patients’ retinal photographs, uploading them for grading by AI or trained personnel on alternate weeks for 32 weeks, and referring vision-threatening DR to a referral center. …”
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Predictive value of CT-based and AI-reconstructed 3D-TAPSE in patients undergoing transcatheter tricuspid valve repair by Johannes Kirchner, Muhammed Gerçek, Hazem Omran, Kai Peter Friedrichs, Felix Rudolph, Tobias Rossnagel, Misagh Piran, Arseniy Goncharov, Maria Ivannikova, Volker Rudolph, Tanja Katharina Rudolph

“…Thus, this study aimed to analyze whether CT-captured TAPSE provides additional value in predicting outcomes after TTVI.Methods and resultsFor TTVI procedure planning, 75 patients (mean age, 77 ± 8 years; 61% female) with severe TR underwent full cardiac cycle CT. …”
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Vis/NIR Spectroscopy and Vis/NIR Hyperspectral Imaging for Non-Destructive Monitoring of Apricot Fruit Internal Quality with Machine Learning by Tiziana Amoriello, Roberto Ciorba, Gaia Ruggiero, Francesca Masciola, Daniela Scutaru, Roberto Ciccoritti

“…Spectral data emphasized genetic similarities and differences among the cultivars, capturing changes in the pigment content and macro components of the apricot samples. …”
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PC-YOLO11s: A Lightweight and Effective Feature Extraction Method for Small Target Image Detection by Zhou Wang, Yuting Su, Feng Kang, Lijin Wang, Yaohua Lin, Qingshou Wu, Huicheng Li, Zhiling Cai

“…By extracting the feature information of small objects in the high-resolution stage of the image, the P2 layer helps the network better capture small objects. At the same time, in order to reduce unnecessary calculations and lower the complexity of the model, we removed the P5 layer. …”
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AnaDetect: An extensive dataset for advancing anemia detection, diagnostic methods, and predictive analytics in healthcareMendeley Data by Mayen Uddin Mojumdar, Dhiman Sarker, Md Assaduzzaman, Md. Anisul Haque Sajeeb, Md. Mohaimenur Rahman, Md Shadikul Bari, Shah Md Tanvir Siddiquee, Narayan Ranjan Chakraborty

“…Common causes include blood loss, chronic diseases, and iron and vitamin deficiencies. This dataset captures various hematological parameters of patients suffering from anemia, including sex, age, Hemoglobin level (Hb), oxygen transportation (RBC), packed cell volume (PCV), mean corpuscular volume (MCV), Mean Corpuscular Hemoglobin (MCH), Mean corpuscular hemoglobin concentration (MCHC). …”
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High speciation in the cryptic Pristimantis celator clade (Anura: Strabomantidae) of the Mira river basin, Ecuador-Colombia by Mario H. Yánez-Muñoz, Juan P. Reyes-Puig, Carolina Reyes-Puig, Gabriela Lagla-Chimba, Christian Paucar-Veintimilla, Miguel A. Urgiles-Merchán, Julio C. Carrión-Olmedo

“…Through detailed analyses of type material and expanded molecular sampling, we found that the original description actually included specimens representing two additional species, which are described herein. …”
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Phantom motor execution as a treatment for phantom limb pain: protocol of an international, double-blind, randomised controlled clinical trial by Brian E McGuire, Lina Bunketorp-Käll, Eva Lendaro, Liselotte Hermansson, Helena Burger, Corry K Van der Sluis, Monika Pilch, Katarzyna Kulbacka-Ortiz, Ingrid Rignér, Anita Stockselius, Lena Gudmundson, Cathrine Widehammar, Wendy Hill, Sybille Geers, Max Ortiz-Catalan

“…The only difference between interventions is whether phantom movements are actually performed (PME) or just imagined (PMI). Complete evaluations are conducted at baseline and at intervention completion, as well as 1, 3 and 6 months later using an intention-to-treat (ITT) approach. …”
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