NDVI estimation using Sentinel-1 data over wheat fields in a semiarid Mediterranean region by Emna Ayari, Zeineb Kassouk, Zohra Lili-Chabaane, Nadia Ouaadi, Nicolas Baghdadi, Mehrez Zribi

“…To estimate the NDVI values, different methods are used: curve-fitting equations and machine learning regressors such as the random forest (RF) and the support vector regressor (SVR). …”
Get full text

Identification of diagnostic biomarkers and dissecting immune microenvironment with crosstalk genes in the POAG and COVID-19 nexus by Changfan Peng, Long Hu, Wanwen Su, Xin Hu

“…COVID-19 patients were stratified into three clusters, with Cluster B exhibiting hyperactive immune microenvironments characterized by elevated HLA class I/II and immune checkpoint genes (CTLA4, PDCD1LG2) in antigen-presenting cells and T cells. This study provides epidemiological and molecular evidence linking POAG to COVID-19, highlighting inflammation and immune dysregulation as shared mechanisms. …”
Get full text

Deep Classification of Algarrobo Trees in Seasonally Dry Forests of Peru Using Aerial Imagery by Wilson Castro, Himer Avila-George, William Nauray, Roenfi Guerra, Jorge Rodriguez, Jorge Castro, Miguel de-la-Torre

“…The results reveal that state-of-the-art approaches show a <inline-formula> <tex-math notation="LaTeX">$F_{1}$ </tex-math></inline-formula>-measure that ranges between 0.92 and 0.99 among the models, presenting a trade-off between computational resources and accuracy. …”
Get full text

Performance indicators on long-term care for older people in 43 high- and middle-income countries: literature review, web search and expert consultation by Mircha Poldrugovac, Joost D. Wammes, Véronique L. L. C. Bos, Erica Barbazza, Damir Ivanković, Hanneke Merten, Janet L. MacNeil Vroomen, Niek S. Klazinga, Dionne S. Kringos

“…Many jurisdictions are monitoring similar structures, processes, and results. This presents an opportunity to develop internationally comparable LTC performance indicators based on existing efforts across countries.…”
Get full text

Assessing the Uses, Benefits, and Limitations of Digital Technologies Used by Health Professionals in Supporting Obesity and Mental Health Communication: Scoping Review by Amanda Kearns, Anne Moorhead, Maurice Mulvenna, Raymond Bond

“… BackgroundObesity and mental health issues present interconnected public health challenges that impair physical, social, and mental well-being. …”
Get full text

Intratentacular budding and zooid-dynamics in two coral genera by Matan Yuval, Amit Peleg, Elvan Ceyhan, Dan Tchernov, Yossi Loya, Avi Bar-Massada, Tali Treibitz

“…Nevertheless, advances in computer vision and deep learning create an opportunity to count and classify zooids on the reef scale and to infer their role in colony growth and structure.Here we present the first quantitative analysis of zooid morphogenesis in two coral genera captured in situ. …”
Get full text

Extraction of Physical Parameters of RRab Variables Using Neural Network Based Interpolator by Nitesh Kumar, Harinder P. Singh, Oleg Malkov, Santosh Joshi, Kefeng Tan, Philippe Prugniel, Anupam Bhardwaj

“…Determining the physical parameters of pulsating variable stars such as RR Lyrae is essential for understanding their internal structure, pulsation mechanisms, and evolutionary state. In this study, we present a machine learning framework that uses feedforward artificial neural networks (ANNs) to infer stellar parameters—mass (<i>M</i>), luminosity (log(<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>L</mi><mo>/</mo><msub><mi>L</mi><mo>⊙</mo></msub></mrow></semantics></math></inline-formula>)), effective temperature (log(<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>T</mi><mi>eff</mi></msub></semantics></math></inline-formula>)), and metallicity (<i>Z</i>)—directly from Transiting Exoplanet Survey Satellite (TESS) light curves. …”
Get full text

Residency training programs to support residents working in First Nations, Inuit, and Métis communities by Marghalara Rashid, Julie Nguyen, Wayne Clark, Jessica L. Foulds, Ida John, Ming-Ka Chan, Molly Whalen-Browne, Pamela Roach, Melanie Morris, Sarah Forgie

“…Equipping trainees to provide holistic care, immersing in and learning from First Nations, Inuit and/or Métis communities is essential for developing the next generation of clinicians and preceptors. …”
Get full text

Enhancing education quality with hybrid clustering and evolutionary neural networks in a multi phase framework by Saleem Malik, Chandrakanta Mahanty, Jnanaranjan Mohanty, Krunal Vaghela, T. Narmadha, R. Sivaranjani, Javed Khan Bhutto, Saiful Islam, Anwar Khan, Amanuel Zewdie

“…An integrated, multi-phase strategy to these issues is presented in this work. This study uses the Hybrid Probabilistic Ensemble Fuzzy C-Medoids with Feature Selection (HPEFCM-FSP) algorithm to cluster students by academic performance in Phase I to identify those who need extra help. …”
Get full text

AirTrace-SA: Air Pollution Tracing for Source Attribution by Wenchuan Zhao, Qi Zhang, Ting Shu, Xia Du

“…Air pollution source tracing is vital for effective pollution prevention and control, yet traditional methods often require large amounts of manual data, have limited cross-regional generalizability, and present challenges in capturing complex pollutant interactions. …”
Get full text

A Comprehensive Study of Spatial Distribution, Pollution Risk Assessment, and Source Apportionment of Topsoil Heavy Metals and Arsenic by Honghua Chen, Xinxin Sun, Longhui Sun, Yunce An, Ying Xiao, Jintao Zhang, Yunpeng Hong, Xiaodong Song

“…The central–northern region presented a slight potential ecological risk, with Hg and Cd being identified as the primary risk factors. …”
Get full text

Performance of Various Artificial Intelligence Models for Predicting Temperature in an Industrial Building—A Case Study by Johan Roussel, Zoubeir Lafhaj, Pascal Yim, Thomas Danel, Laure Ducoulombier

“…This article presents a comparative analysis of the performance of various artificial intelligence models for predicting temperature in an industrial building. …”
Get full text

Implication of Bimodal Magnetic Resonance and Fluorescence Imaging Probes in Advanced Healthcare: Enhancing Disease Diagnosis and Targeted Therapy by Gong T, Ullah Z, Roy S, Cheng C, Li M, Cheng J, Zhang Y, Guo B, Qiu Y

“…Meticulous attention has been devoted to presenting methodologies aimed at improving the targeting efficacy of these probes. …”
Get full text

An analytical framework for strategic alliance formation between a cooperative bank and a fintech start-up: An Italian case study by Francesca Bartolacci, Andrea Cardoni, Piotr Łasak, Wojciech Sadkowski

“…Contrary to previous research, which focuses mainly on commercial banks, this article presents the relationship between cooperative banks and fintech start-ups.…”
Get full text

Pharmacy students’ opinion on mandatory summer internships carried out in community and hospital pharmacies by Lucyna Bułaś, Anna Gołda, Ewa Długosz, Artur Owczarek, Anna Zagaja, Mariola Drozd

“…Information about internships performed in community and hospital pharmacies were collected separately. Results The paper presents the results of selected questions related specifically to the legitimacy of summer internships and learning about professional responsibilities. …”
Get full text

Colorectal cancer unmasked: A synergistic AI framework for Hyper-granular image dissection, precision segmentation, and automated diagnosis by Akella S. Narasimha Raju, K. Venkatesh, M. Rajababu, Ranjith Kumar Gatla, Shaik Jakeer Hussain, G. Satya Mohan Chowdary, T. Ganga Bhavani, Mohammed Kareemullah, Sameer Algburi, Ali Majdi, Ahmed M. Abdulhadi, Wahaj Ahmad Khan

“…The proposed ViT–DeepLabV3 + system establishes a basis for advanced AI support to colorectal diagnosis by utilizing self-attention strategies and learning with different scales of context. The system offers a high-capacity, reproducible computerised colorectal cancer screening and monitoring solution and can be best deployed where resources are scarce, and it can be highly desirable for clinical deployment.…”
Get full text

HawkEars: A regional, high-performance avian acoustic classifier by Jan Huus, Kevin G. Kelly, Erin M. Bayne, Elly C. Knight

“…By continuing to improve deep-learning classification performance, HawkEars has the potential to substantially improve the efficiency and utility of passive acoustic monitoring studies.…”
Get full text

A Novel Method for Analyzing the Factors Influencing Ground Settlement during Shield Tunnel Construction in Upper-Soft and Lower-Hard Fissured Rock Strata considering the Coupled H... by Yan Wang, Yongjun Zhang, Zhen Zhu, Mingqing Du, Yi Qi

“…Focusing on the special stratum conditions of upper-soft and lower-hard fissured rock strata, this paper conducts quantitative research and analysis on the factors influencing the ground settlement caused by shield tunnel construction considering the coupled hydromechanical properties and presents a corresponding numerical simulation-artificial neural network-Bayesian network- (NS-ANN-BN-) based method. …”
Get full text

Prediction Models for Postoperative Delirium of Cardiovascular Surgery (PODOCVS): Protocol for a Systematic Review by Xuling Zhao, Yike Wang, Liju Li, Meijuan Lan, Xiaodi He

“…In addition, we aim to investigate whether machine learning models for PODOCVS offer more accurate predictions than traditional statistical models. …”
Get full text

Effects of training oncology physicians advising patients on complementary and integrative therapies on patient‐reported outcomes: 2‐year follow‐up of the multi‐center, cluster‐ran... by Alizé A. Rogge, Stefanie M. Helmer, Katja Icke, Claudia M. Witt

“…Within the KOKON‐KTO study, oncology physicians in the intervention group were trained in a blended learning to provide CIM consultations to their cancer patients in addition to distributing a leaflet about CIM websites. …”
Get full text