Differences in technical and clinical perspectives on AI validation in cancer imaging: mind the gap! by Ioanna Chouvarda, Sara Colantonio, Ana S. C. Verde, Ana Jimenez-Pastor, Leonor Cerdá-Alberich, Yannick Metz, Lithin Zacharias, Shereen Nabhani-Gebara, Maciej Bobowicz, Gianna Tsakou, Karim Lekadir, Manolis Tsiknakis, Luis Martí-Bonmati, Nikolaos Papanikolaou

“…Abstract Good practices in artificial intelligence (AI) model validation are key for achieving trustworthy AI. …”
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Factors driving the variation in soil fertility associated with extension of the alfalfa (Medicago sativa L.) cultivation period by Zeyu Liu, Junqi Wang, Xinhe Shan, Pinhang Liang, Lizhao Fan, Chengyu Song, Zhaopu Jia, Yuxia Zhang, Yunlong Zhang, Lei Liu, Ding Huang

“…To address this gap, four alfalfa fields with different planting years (0, 1, 2, 4) were selected at Henan province in China, to investigate the pattern of soil physicochemical, microbial properties in topsoil (0–20 cm) and subsoil (20–40 cm). …”
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Planting System and Cultivar Influence Olive Key-Pests Infestation in an Olive-Growing Vocated Area by Michele Cutrone, Francesco Maldera, Francesco Nicolì, Eustachio Tarasco, Juan F. Hermoso, Agustí Romero, Salvatore Camposeo

“…The comparative analysis of pest infestations across the two planting systems revealed significant and complex patterns in pest population distribution and intensity. …”
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Occurrence, evolution and causes of different drought levels affecting winter wheat in the Huang-Huai-Hai Plain, China by Teri Gele, Yongbin Bao, Cha Ersi, Bilige Sudu, Sicheng Wei, Jiquan Zhang, Zhijun Tong, Xingpeng Liu

“…Here, we used the 1981–2020 meteorological datasets to calculate the monthly standardized precipitation evapotranspiration index and combined this with the standard deviation ellipses and the geodetector model to investigate the spatio-temporal patterns of drought occurrence, its evolution, and the potential drivers of different drought levels across the growth stages of winter wheat. …”
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A Study of Mixed Non-Motorized Traffic Flow Characteristics and Capacity Based on Multi-Source Video Data by Guobin Gu, Xin Sun, Benxiao Lou, Xiang Wang, Bingheng Yang, Jianqiu Chen, Dan Zhou, Shiqian Huang, Qingwei Hu, Chun Bao

“…The model treats discrete traffic flow data as a time-series signal and employs a stochastic signal parameter model to fit stochastic traffic flow patterns. Initially, UAVs and video cameras are used to capture videos of mixed non-motorized traffic flow. …”
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Using normalisation process theory to evaluate the implementation of a digital health intervention in community and secondary care long COVID clinics by Ann Blandford, Katherine Bradbury, Sarah Walker, Fiona A Stevenson, Fiona L Hamilton, Paul Pfeffer, William Ricketts, Henry Goodfellow, Stuart Linke, David Sunkersing, Hadiza Ismaila, Vinosh Jegatheesan, Ibrahim Mohammad

“…The DHI was judged to have demonstrated the potential to affect long-established patterns and organisational structures of engagement between healthcare professionals and patients in terms of access to care.Conclusions NPT provided a framework for considering both individual agency and the organisation context, enabling reflections to be made at the level of the structure of services as well as people’s experiences. …”
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Spatial heterogeneity of cultural ecosystem services in grand canal rural heritage sites: A community gradient framework using participatory mapping by Xin Jiang, Xi Chen, Qinghai Zhang, Yutao Li, Mingrui Wang, Yongjun Li, Xing Xiong, Xiaoning Wu, Xin Li, Yujia Zhong, Yong Lu

“…To address this gap, this study proposes a multidimensional framework that integrates participatory mapping, semi-structured interviews, and mixed spatial analytical techniques for analyzing rural CES distribution patterns and their associations with landscape features across community gradients. …”
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Investigation and analysis of mental health status of the older adult in western rural areas by Shuai Zhao, Liangfu Han, Yi Liu, Xudong Rui

“…Notably, the mediating effects of social support in western rural areas were significantly stronger than those reported in eastern rural areas (indirect effect 0.60 vs. 0.35 for chronic diseases, p < 0.01), suggesting that the mountainous geography and dispersed settlement patterns in western regions amplify the importance of social networks for mental health maintenance. …”
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Technology-enabled CONTACT tracing in care homes in the COVID-19 pandemic: the CONTACT non-randomised mixed-methods feasibility study by Carl A Thompson, Thomas A Willis, Amanda Farrin, Adam Gordon, Amrit Daffu-O’Reilly, Catherine Noakes, Kishwer Khaliq, Andrew Kemp, Tom Hall, Chris Bojke, Karen Spilsbury

“…Homes found information useful when it confirmed rather than challenged preconceived contact patterns. Staff privacy concerns were a barrier to adoption. …”
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Behavioral Biases in Investor Decision-Making: A Comparative Meta-Analysis of Behavioral Finance Research by Seyed Amir Sabet, Saeed Aibaghi esfahani, Abdolmajid Abdolbaghi Ataabadi

“…Interdisciplinary collaboration with psychologists could yield practical interventions. Additionally, real-time behavioral tracking in digital markets may uncover new bias patterns. …”
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Investigating the role of stable flies (Stomoxys calcitrans) and biting midges of the genus Culicoides as potential mechanical vectors of African swine fever virus in Lithuania, Po... by Sofie Dhollander, Oana-Maria Balmoș, Eleonora Cattaneo, José Abrahantes Cortiñas, Anette Ella Boklund, Anna Szczotka-Bochniarz, Andrei Daniel Mihalca, Lina Mur, Maciej Frant, Anna Gal-Cisoń, Malgorzata Kwasnik, Wojciech Rozek, Alvydas Malakauskas, Marius Masiulis, Jurga Turcinaviciene, Theodora Chesnoiu, Krzysztof Jazdzewski, Jerzy Rola, Florica Barbuceanu, Miguel Ángel Miranda, Jan Arend Stegeman

“…Abstract Background Since its emergence in Georgia in 2007, the seasonal pattern of African swine fever virus (ASFV) genotype II outbreaks in European pig populations has been evident. …”
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Metagenomic Sequencing Revealed the Effects of Different Potassium Sulfate Application Rates on Soil Microbial Community, Functional Genes, and Yield in Korla Fragrant Pear Orchard by Lele Yang, Xing Shen, Linsen Yan, Jie Li, Kailong Wang, Bangxin Ding, Zhongping Chai

“…Potassium fertilizer management is critical for achieving high yields of Korla fragrant pear, yet current practices often overlook or misuse potassium inputs. …”
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Source apportionment of potentially toxic elements in soils from an urbanising region: Insights from multivariate analysis in Singida, Tanzania by Raymond Webrah Kazapoe, Benatus Norbert Mvile, John Desderius Kalimenze, Daniel Kwayisi, Samuel Dzidefo Sagoe, Kwabina Ibrahim, Obed Fiifi Fynn

“…Due to the growing rate of urbanisation, these areas have become relatively populous and have a high level of anthropogenic activities, such as gold mining, sunflower oil milling and agricultural activities which have been shown in the study to influence the spatial patterns of PTEs in the area. The level of anthropogenic influence on the PTEs calls for remediation and educative measures to be implemented.…”
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XGBoost-based machine learning model combining clinical and ultrasound data for personalized prediction of thyroid nodule malignancy by Wenhan Li, Wenhan Li, Yajing Zhou, Ziyu Luo, Ziyu Luo, Miao Tan, Miao Tan, Rui Yin, Jianhui Li, Jianhui Li

“…Nowadays, machine learning (ML) offers advanced capabilities to handle high-dimensional data and complex patterns. This study aimed to develop an ML model integrating clinical data and ultrasound features to improve personalized prediction of TN malignancy.MethodsData from 2,014 patients with TNs (2018.01–2024.01) were retrospectively analyzed, with 1,612 in the training set and 402 in the test set. …”
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Physical Activity Levels and Recreational Participation Among Physiotherapists: A Cross-Sectional Correlational Study by Constantin Ciucurel, George Mihail Man, Marilena Monica Tantu, Mariana Ionela Tudor, Georgeta Ionescu, Ana Catalina Tantu, Elena Ioana Iconaru

“…This study explores physical activity patterns and recreational engagement among practicing physiotherapists. …”
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Cooking Skills and Mediterranean Diet Adherence: Societal Insights from the iMC SALT Trial by Carla Gonçalves, Patrícia Padrão, Olívia Pinho, Tânia Silva-Santos, Pedro Moreira

“…As modern societies face growing challenges related to unhealthy eating patterns and a loss of traditional food practices, understanding the societal role of culinary competence becomes critical. …”
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Application of X-bar R Control Charts for Process Efficiency Monitoring: A Data-Driven Approach in Quality Management by Aleksy Kwilinski, Maciej Kardas, Nataliia Trushkina

“…The methodology involves constructing X-bar R control charts to monitor variability patterns, establish stability thresholds, and pinpoint critical sources of process deviations. …”
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A review of sound-based pig monitoring for enhanced precision production by Md Nasim Reza, Md Razob Ali, Md Asrakul Haque, Hongbin Jin, Hyunjin Kyoung, Young Kyoung Choi, Gookhwan Kim, Sun-Ok Chung

“…The integration of machine learning and artificial intelligence (AI) is further enhancing the capacity to interpret complex sound patterns, enabling the automated detection of abnormal behaviors or health issues. …”
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Micro-level sustainability benefits through weather-based farm interventions in Bihar, India by Abdus Sattar, Ratnesh Kumar Jha, Sanjay Kumar, Gangadhar Nanda, Rajan Kumar, Gulab Singh, Anil Kumar Singh, Santanu Kumar Bal

“…The results revealed a significant positive impact of weather-based advisories on farmers’ income, as well as carbon and energy consumption patterns in rice production. Specifically, rice yield increased by 49.8% among farmers who followed weather forecast-based smart interventions. …”
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Trends in Protein Supplement Use Among Non-Professional Athletes: Insights from a Survey in Greece by Panagiota Athanasopoulou, Georgia-Eirini Deligiannidou, Paraskevi Basdeki, Elena Deligianni, Pinelopi Kryona, Georgios Kaltsos, Diamanto Lazari, Athanasios Papadopoulos, Konstantinos Papadimitriou, Christos Kontogiorgis

“…This study aimed to investigate non-professional athletes’ PS patterns of use, motivations, and safety. Methods: A cross-sectional study was conducted using a constructed questionnaire reporting on PS usage trends, exercise habits, and demographic factors. …”
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