Exploration of geo-spatial data and machine learning algorithms for robust wildfire occurrence prediction by Svetlana Illarionova, Dmitrii Shadrin, Fedor Gubanov, Mikhail Shutov, Usman Tasuev, Ksenia Evteeva, Maksim Mironenko, Evgeny Burnaev

“…In this study, we focus on wildfire occurrence forecasting, which is a valuable tool for facilitating earlier intervention. Conventional approaches primarily rely on the computation of fire indices based on weather conditions. …”
Get full text

A weighted bag of visual words model for predicting fetal growth restriction at an early stage by Ani Dong, Yiheng Zhang, Weiling Li, Mengjie Chen

Get full text

Fusion of transfer learning with nature-inspired dandelion algorithm for autism spectrum disorder detection and classification using facial features by G. Elangovan, N. Jagadish Kumar, J. Shobana, M. Ramprasath, Gyanendra Prasad Joshi, Woong Cho

“…There is no specific medicine for treating this disorder; early intervention is critical to improving brain function. …”
Get full text

The new engineering and technological decisions for mine technical reclamation of deep open pits to regenerate mesorelief by K. V. Babii, Ye. V. Malieiev

“…The current trends of artificial intelligence and robotic facilities use for open pit mining has been represented which prompted the development of a new generation of quarry equipment. …”
Get full text

COVID-19 and Inflammatory Bowel Diseases: Risk Assessment, Shared Molecular Pathways, and Therapeutic Challenges by Iolanda Valentina Popa, Mircea Diculescu, Cătălina Mihai, Cristina Cijevschi-Prelipcean, Alexandru Burlacu

Get full text

Closing the loop: establishing an autonomous test-learn cycle to optimize induction of bacterial systems using a robotic platform by Jan Benedict Spannenkrebs, Aron Eiermann, Thomas Zoll, Silke Hackenschmidt, Johannes Kabisch, Johannes Kabisch, Johannes Kabisch

“…As a result, even in times of rapidly advancing artificial intelligence, the common design-build-test-learn (DBTL) cycle is still not circular without human intervention. …”
Get full text

Decomposing decision mechanisms in female substance use disorder: drift diffusion modeling of context-dependent biases in gain and loss processing by Hao Zhang, Gavin Kader, Huoyin Zhang, Haijian Zhao, Wanke Pan, Peng Lei

Get full text

An interpretable electrocardiogram-based model for predicting arrhythmia and ischemia in cardiovascular disease by Tanjila Alam Sathi, Rafsan Jany, Razia Zaman Ela, AKM Azad, Salem Ali Alyami, Md Azam Hossain, Iqram Hussain

“…We designed a predictive framework utilizing boosting ML algorithms, enhanced by explainable artificial intelligence (XAI) techniques, to ensure high predictive performance in model interpretation. …”
Get full text

Factors modulating the impact of the COVID-19 pandemic on posttraumatic stress symptomatology of the Spanish healthcare workers: A cohort study. by Beatriz Arregui-Gallego, María Isabel Orts-Cortés, María Teresa Moreno-Casbas, Eva Abad-Corpa, Rafaela Camacho-Bejarano, Mª Ángeles Cidoncha-Moreno, Isabel Feria-Raposo, Javier Iruzubieta-Barragán, Montserrat Carmona, Estíbaliz Cristóbal-Domínguez, Leticia Bernués-Caudillo, Elvira Casado-Ramírez, Alda Recas-Martin, Dolores Sánchez-López, M Consuelo Company-Sancho, Noelia López Rascón, Silvia Esteban-Sepúlveda, María Clara Vidal-Thomàs, Isabel Alonso, Daniel Muñoz-Jiménez, José Vicente Segura-Heras, Joaquín Moncho, Manuel Rich-Ruiz

“…<h4>Conclusions</h4>This study highlights the need for early identification and intervention focused on psychological and coping mechanisms. …”
Get full text

Habitat Analysis in Tumor Imaging: Advancing Precision Medicine Through Radiomic Subregion Segmentation by Wu LX, Ding N, Ji YD, Zhang YC, Li MJ, Shen JC, Hu HT, Jin L, Yin SN

“…The latest progress and innovations in predicting tumor therapeutic effects and prognosis using habitat analysis are reviewed, including multimodal imaging data fusion, integration with artificial intelligence technologies, and non-invasive diagnostic methods. …”
Get full text

Classification of the ICU Admission for COVID-19 Patients with Transfer Learning Models Using Chest X-Ray Images by Yun-Chi Lin, Yu-Hua Dean Fang

“…<b>Objectives</b>: Predicting intensive care unit (ICU) admissions during pandemic outbreaks such as COVID-19 can assist clinicians in early intervention and the better allocation of medical resources. …”
Get full text

Typology of Carrots, Sticks, and Sermons: Tracing Its Influence on the Discipline of Public Policy by Karol Olejniczak, Tomasc Kupiec, Dominika Wojtowicz

“…This article evaluates the book's legacy in public policy literature while testing bibliometric methods, including emerging generative artificial intelligence (GAI) tools for research synthesis.  …”
Get full text

A fine-tuned convolutional neural network model for accurate Alzheimer’s disease classification by Muhammad Zahid Hussain, Tariq Shahzad, Shahid Mehmood, Kainat Akram, Muhammad Adnan Khan, Muhammad Usman Tariq, Arfan Ahmed

Get full text

The association of early childhood cognitive development and behavioural difficulties with pre-adolescent problematic eating attitudes. by Rebecca C Richmond, Oleg Skugarevsky, Seungmi Yang, Michael S Kramer, Kaitlin H Wade, Rita Patel, Natalia Bogdanovich, Konstantin Vilchuck, Natalia Sergeichick, George Davey Smith, Emily Oken, Richard M Martin

“…We investigated associations of intelligence quotient (IQ), academic performance and behavioural difficulties at 6.5 years with eating attitudes five years later.…”
Get full text

Strut and radio-morphometric analysis of mandibular trabecular structure in pre-and post-menopausal women to aid in the diagnosis of osteoporosis by Ragavendiran Anandan, Krithika C.L, Anuradha Ganesan, Yesoda Aniyan K.

“…Future research incorporating artificial intelligence can revolutionize image analysis and support clinical decision-making.…”
Get full text

Brain Health in Neuroradiology by Karl-Olof Lövblad, Isabel Wanke, Daniele Botta, Felix T. Kurz, Roland Wiest, Daniel Rüfenacht, Luca Remonda

“…Additionally, the implementation and use of artificial intelligence at many levels of the diagnostic and treatment chain will be beneficial to patients and physicians. …”
Get full text

Does NIH funding differ between medical specialties? A longitudinal analysis of NIH grant data by specialty and type of grant, 2011–2020 by Andrew Schlafly, Ronnie Sebro

Get full text

Psychometric Properties of the Emotional Exhaustion Scale for Children and Adolescents (EES-CA) by Jonathan Martínez-Líbano, Catalina Coronado Reyno, Roberto Iturra Lara, Guillermo Barahona-Fuentes

“…The convergent validity for the EES-CA showed low correlations with wellbeing (PWI) and non-significant correlations with emotional intelligence (TMMS-24), supporting discriminant validity. …”
Get full text

Physical activity and cognitive function in adults born very preterm or with very low birth weight-an individual participant data meta-analysis. by Kristina Anna Djupvik Aakvik, Silje Dahl Benum, Marjaana Tikanmäki, Petteri Hovi, Katri Räikkönen, Sarah L Harris, Lianne J Woodward, Brian A Darlow, Marit S Indredavik, Stian Lydersen, Paul Jarle Mork, Eero Kajantie, Kari Anne I Evensen

“…Considering the risk of adverse health outcomes among individuals born preterm, physical activity could be a target for intervention.…”
Get full text

The Editorial: Minimum requirements to publish with SJORANM by Frank Mosler, Gerd Nöldge

Get full text