A phenomenological qualitative study based on the multi-theory model (MTM) of health behavior change to identify factors and ways to design interventions for quitting gambling amon... by Laurencia BONSU, Sidath KAPUKOTUWA, Anita CHATTERJEE, Asma AWAN, Manoj SHARMA

“…Directed content analysis categorizes and interprets participants' narratives to reveal the complex relationships that affect gambling behavior. …”
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Data-driven Dynamics with Orbital Torus Imaging: A Flexible Model of the Vertical Phase Space of the Galaxy by Adrian M. Price-Whelan, Jason A. S. Hunt, Danny Horta, Micah Oeur, David W. Hogg, Kathryn Johnston, Lawrence Widrow

“…We discuss the approximations and limitations of the OTI framework, which currently trades dynamical interpretability for flexibility in representing the data in some regimes, and which also presently separates the vertical and radial dynamics. …”
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Improving the Reporting of Primary Care Research: Consensus Reporting Items for Studies in Primary Care—the CRISP Statement by Phillips William R., Sturgiss Elizabeth, Glasziou Paul, olde Hartman Tim C., Orkin Aaron M., Prathivadi Pallavi, Reeve Joanne, Russell Grant M., van Weel Chris

“…Improved reporting of the context of the clinical services and the process of research is critical to interpreting study findings/results and applying them to diverse populations and varied settings in PC.…”
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Land use and land cover classification for change detection studies using convolutional neural network by V. Pushpalatha, P.B. Mallikarjuna, H.N. Mahendra, S. Rama Subramoniam, S. Mallikarjunaswamy

“…Traditional methods for LULC classification involve manual interpretation of satellite images, which provides lower accuracy. …”
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Deep Learning Applications in Ionospheric Modeling: Progress, Challenges, and Opportunities by Renzhong Zhang, Haorui Li, Yunxiao Shen, Jiayi Yang, Wang Li, Dongsheng Zhao, Andong Hu

“…Nevertheless, due to limitations in observational networks and the dynamic complexity of the ionosphere, deep learning-based ionospheric models still face challenges in terms of accuracy, resolution, and interpretability. This paper systematically reviews the development of deep learning applications in ionospheric modeling, summarizing findings that demonstrate how integrating multi-source data and employing multi-model ensemble strategies has substantially improved the stability of spatiotemporal predictions, especially in handling complex space weather events. …”
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Geological structure identification in geothermal manifestation of Lamongan Volcano Complex: A magnetic data analysis approach by Ulumuddin Faqih, Fajar Miftakhul Haris M., Warnana Dwa Desa, Rafi Muhammad Erfand Dzulfiqar, Rahayu K Helda usuma

“…The integration of these three transformations on the magnetic data is sufficient to interpret the position, direction, and depth of subsurface structures in the research area. …”
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Reading between the lines: exploring the discriminative ability of the Short-Story Task in identifying autistic individuals within autism outpatient services by Irina Jarvers, Monika Sommer, Monika Sommer, Manuela Ullmann, Verena Simmel, Lore Blaas, Stefanie Gorski, Saskia Krüger-Lassen, Matthias Vogel, Berthold Langguth

“…Additionally, specific items of the SST showed significant differences between autistic and non-autistic individuals and constituted a significant predictor of autism diagnosis.DiscussionWhile the SST may not be robust enough to accurately identify autistic individuals on its own, it does offer clinicians valuable insights into how individuals interpret others’ actions and whether they grasp the broader context of a story versus focusing solely on details.…”
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Identifying Top-Performing Students via VKontakte Social Media Communities Using Advanced NLP Techniques by Sergei S. Gorshkov, Dmitry I. Ignatov, Anastasia Yu. Chernysheva, Vyacheslav L. Goiko, Vitaliy V. Kashpur

“…This approach also enabled the identification and interpretation of key factors differentiating high-performing students from their lower-performing peers. …”
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Erythrogram Profile of Blood Samples Anticoagulated with Tri-potassium Ethylene Diamine Tetraacetic Acid (K3EDTA) Stored for 48 Hours at 4oC by Putri Azzahrah, Anita Esfandiari, Arief Purwo Mihardi, Sus Derthi Widhyari, Retno Wulansari, Putri Indah Ningtias

“…Delayed sample analysis owing to prolonged storage could result in erythrogram profiles, which could complicate the interpretation of the resulting data. This study investigated the erythrogram profile of tripotassium ethylenediaminetetraacetic acid (K3EDTA) in blood samples stored for 48 h at 4°C. …”
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A generative deep neural network for pan-digestive tract cancer survival analysis by Lekai Xu, Tianjun Lan, Yiqian Huang, Liansheng Wang, Junqi Lin, Xinpeng Song, Hui Tang, Haotian Cao, Hua Chai

“…Conclusions The experiment indicate that GDEC outperforms better than other deep-learning-based methods, and the interpretable algorithm can select biologically significant genes and potential drugs for DTC treatment.…”
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Anther transcriptomes in cold-tolerant rice cultivars tend to show insensitive responses by Koichi Yamamori, Seiya Ishiguro, Kei Ogasawara, Kayyis Muayadah Lubba, Kaien Fujino, Kazumitsu Onishi, Yutaka Sato, Yuji Kishima

“…From the few cloned genes, it is difficult to genetically interpret intermediate tolerance or susceptibility levels and explain the complexity of stress responses and tolerance. …”
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Canadian Public Health Laboratory Network laboratory Guidelines for the Use of Serological Tests (excluding point-of-care tests) for the Diagnosis of Syphilis in Canada by Paul N Levett, Kevin Fonseca, Raymond SW Tsang, Kamran Kadkhoda, Bouchra Serhir, Sandra M Radons, Muhammad Morshed

“…Some of the issues related to serological diagnoses are that antibodies take time to appear after infection, and serology screening tests require several secondary confirmatory tests that can produce complex results needing interpretation by experts in the field. Traditionally, syphilis screening was performed using either rapid plasma reagin or Venereal Disease Research Laboratory tests, and confirmed by treponemal tests such as MHA-TP, TPPA or FTA-Abs. …”
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Preliminary Results of the Adoption and Application of the Integrated Comprehensive Care Bundle Care Program When Treating Patients with Chronic Obstructive Pulmonary Disease by Jason R. Guertin, James M. Bowen, Carolyn Gosse, Gord Blackhouse, Daria J. O’Reilly, Emanuel Baltaga, Gerard Cox, Donna Johnson, Brandi Le Blanc, Jane Loncke, Stewart Pugsley, Ravi Sivakumaran, Laura Wheatley, Kevin Smith, Jean-Eric Tarride

“…Length of stay (6.47 [7.29] versus 9.55 [10.21] days) and resource intensity weights (1.16 [0.80] versus 1.64 [1.69]) were lower in the ICC group within the initial hospitalization but, while favoring the ICC program, healthcare resource use tended not to differ statistically following discharge. Interpretation. The ICC program was able to reduce initial medical resource utilization without increasing subsequent medical resource use.…”
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Explainable machine learning models for identifying mild cognitive impairment in older patients with chronic pain by Xiaoang Zhang, Yuping Liao, Daying Zhang, Weichen Liu, Zhijian Wang, Yaxin Jin, Shushu Chen, Jianmei Wei

“…We then developed machine learning models and interpreted them by SHAP. Results Age, education level, number of pain sites, pain duration, pain level, depression and sleep quality were risk factors of MCI in older patients with chronic pain. …”
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Long-term Radio Monitoring of the Fast X-Ray Transient EP 240315a: Evidence for a Relativistic Jet by Roberto Ricci, Eleonora Troja, Yu-Han Yang, Muskan Yadav, Yuan Liu, Hui Sun, Xuefeng Wu, He Gao, Bing Zhang, Weimin Yuan

“…In the radio light curves we identify an unusual steep rise at 9 GHz, possibly due to a refreshed reverse shock, and a late-time rapid decay of the radio flux, which we interpret as a jet break due to the outflow collimation. …”
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Correlation Of Psychosomatic Factors And Personality Traits With The Severity Of Hidradenitis Suppurativa by Konstantinos Kontoangelos, Foteini Dionysia Foulou, Sofia Tsiori, Charalabos Papageorgiou, Alexander Stratigos, Aikaterini I Liakou

“…Conclusions: It is important that further research be conducted that will include more mental disorders besides anxiety and depression while at the same time excluding confounding factors for safer interpretation of the results. …”
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Validity of Self-reported Participation in Cancer Screenings and Health Checkups in Japan by Isao Muraki, Tomotaka Sobue, Kazumasa Yamagishi, Shoichiro Tsugane, Norie Sawada, Hiroyasu Iso

“…Self-reported participation, especially for lung cancer screening and health checkups, should be carefully interpreted when assessing the performance of preventive measures.…”
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The paradigm of anthropocentrism in contemporary pediatric surgery by V.О. Dubinina, І.V. Ksonz, S.М. Bilash, L.V. Abyzova, О.S. Bilanov

“…The methodology of the study was determined by the cultural approach based on the use of philosophical hermeneutics (interpretation of texts). The method of extrapolation allowed the use of philosophical heritage to analyze contemporary deontological issues. …”
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Sensitivity of Self-reported Opium Use in Cancer Patients: Implications for conducting epidemiological studies by Vahideh Mohseni, Maryam Hadji, Mina Khaki, Omid Nabavian, Kazem Zendehdel, Hamideh Rashidian

“…Conclusion: The observed sensitivity of self-reported opium use among cancer patients underscores the importance of meticulous and comprehensive approaches for collecting and interpreting self-reported substance use data. Researchers and policymakers should consider contributing factors to the sensitivity of self-reported opium use. …”
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Artificial intelligence and machine learning techniques for power quality event classification: a focused review and future insights by Indu Sekhar Samanta, Sarthak Mohanty, Shubhranshu Mohan Parida, Pravat Kumar Rout, Subhasis Panda, Mohit Bajaj, Vojtech Blazek, Lukas Prokop, Stanislav Misak

“…This paper explores the challenges associated with AI-based PQ analysis, including the need for large datasets, overfitting issues, and the lack of interpretability in complex models. Future research directions are outlined, emphasizing the development of hybrid models, explainable AI systems, and real-time adaptability to dynamic grid conditions. …”
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