D³-YOLOv10: Improved YOLOv10-Based Lightweight Tomato Detection Algorithm Under Facility Scenario by Ao Li, Chunrui Wang, Tongtong Ji, Qiyang Wang, Tianxue Zhang

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Experimental Validation and Optimization of a Hydrogen–Gasoline Dual-Fuel Combustion Model in a Spark Ignition Engine with a Moderate Hydrogen Ratio by Attila Kiss, Bálint Szabó, Krisztián Kun, Barna Hanula, Zoltán Weltsch

“…The objectives are twofold: (1) to refine the combustion model using empirically derived combustion metrics, and (2) to evaluate the feasibility of moderate hydrogen enrichment in a stock engine configuration. …”
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Waste heat recovery cycles integration into a net-Zero emission solar-thermal multi-generation system; Techno-economic analysis and ANN-MOPSO optimization by Pradeep Kumar Singh, Ali Basem, Rebwar Nasir Dara, Mohamed Shaban, Sarminah Samad, Raymond Ghandour, Ahmad Almadhor, Samah G. Babiker, Iskandar Shernazarov, Ibrahim A. Alsayer

“…To optimize the system's performance, an artificial neural network is integrated with a multi-objective particle swarm optimization algorithm to reduce computational time from approximately 16 h to 4 min. …”
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Multimodal marvels of deep learning in medical diagnosis using image, speech, and text: A comprehensive review of COVID-19 detection by Md Shofiqul Islam, Khondokar Fida Hasan, Hasibul Hossain Shajeeb, Humayan Kabir Rana, Md. Saifur Rahman, Md. Munirul Hasan, AKM Azad, Ibrahim Abdullah, Mohammad Ali Moni

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Exploring Zinc C295 as a Dual HIV-1 Integrase Inhibitor: From Strand Transfer to 3′-Processing Suppression by Sharif Karim Sayyed, Marzuqa Quraishi, D. S. Prabakaran, Balaji Chandrasekaran, Thiyagarajan Ramesh, Satish Kumar Rajasekharan, Chaitany Jayprakash Raorane, Tareeka Sonawane, Vinothkannan Ravichandran

“…Further studies are warranted to evaluate its therapeutic potential in clinical settings.…”
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Unmasking the mimic: lipoid pneumonia imitating primary lung cancer - a case report series of a diagnostic challenge by Shehab Mohamed, Luca Bertolaccini, Mariano Lombardi, Clementina Di Tonno, Angela Sabalic, Monica Casiraghi, Monica Casiraghi, Lorenzo Spaggiari, Lorenzo Spaggiari

“…This condition must always be appropriately evaluated through a multidisciplinary approach, especially when excluding a neoplastic origin.ConclusionIn this paper, we present the largest case series of lipoid pneumonia mimicking primary lung cancer from a single center reported in the literature so far. …”
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Impact of mobile applications on adherence to cancer treatment: a systematic review and meta-analysis protocol by Ana Katherine Gonçalves, Michelly Nóbrega Monteiro, Kleyton Santos Medeiros, Ricardo Ney Cobucci, Janice França Queiroz, Weruska Alcoforado Costa, Beatriz Stransky

“…Patient education, reminder tools, calendars, pillboxes and electronic reminders will not be evaluated. The primary outcome will be the improvement in adherence to anticancer drugs. …”
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Stress triaxiality and failure in SFRPs: a novel workflow for failure curve determination, considering fibre orientation and specimen geometry by F.E. Fiorini, A. Canegrati, L.M. Martulli, P. Steck, A. Bernasconi

“…At the macro scale, it was evaluated using both isotropic (von Mises) and anisotropic (Hill 48) yield models. …”
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A Method to Assess and Explain Changes in Sub‐Daily Precipitation Return Levels From Convection‐Permitting Simulations by Eleonora Dallan, Marco Borga, Giorgia Fosser, Antonio Canale, Bardia Roghani, Marco Marani, Francesco Marra

“…Convection‐permitting models (CPMs) explicitly resolve large convective systems and represent sub‐daily extremes more realistically than coarser resolution models, but present short records due to the high computational costs. Here, we evaluate the potential of a non‐asymptotic approach, the Simplified Metastatistical Extreme Value (SMEV) to provide information on the future change of extreme sub‐daily return levels based on CPM simulations. …”
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Case Report: Tracheobronchomalacia after a two-stage surgical approach to treat congenital diaphragmatic hernia with hepatopulmonary fusion by Juri Kanda, Takeo Mukai, Chiharu Irisa, Kyosuke Ibi, Rina Matsuda, Kaori Morita, Akio Ishiguro, Masako Ikemura, Yosuke Yamada, Hisaya Hasegawa, Jun Fujishiro, Naoto Takahashi

“…After excluding abnormal vascular communication on computed tomography, a second surgery was performed on DOL 28. …”
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Dynamic Q value wavelet transform for IF estimation and seizure detection via QT plane-CNN framework by Amaya Rose Abraham, Anurag Nishad, Mihir Jaipuria, Abhay Upadhyay, Sudeep Baudha

“…Here, the Q values are computed dynamically as the Gaussian window traverses over a multi-component signal. …”
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Deep Learning and Statistical Models for Forecasting Transportation Demand: A Case Study of Multiple Distribution Centers by Fábio Polola Mamede, Roberto Fray da Silva, Irineu de Brito Junior, Hugo Tsugunobu Yoshida Yoshizaki, Celso Mitsuo Hino, Carlos Eduardo Cugnasca

“…Eight scenarios were explored while considering different data preprocessing methods and evaluating how outliers, training and testing dataset splits during cross-validation, and the relevant hyperparameters of each model can affect the demand forecast. …”
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Longitudinal comparative study on osteogenic capacity using two collagenated xenografts in artificial bone defects in beagles by Dong Woo Lee, Hee-seung Han, Yu-bin Kim, Sanghui Seok, Sungtae Kim, Jue Yeon Lee, Young-Dan Cho, Yoon Jeong Park, Chong Pyung Chung

“…Bone regeneration and osseointegration were evaluated using micro-computed tomography (micro-CT), as well as histological and histomorphometric analyses, while implant stability was measured using resonance frequency analysis (RFA). …”
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Advanced phenotyping in tomato fruit classification through artificial intelligence by Sandra Eulália Santos Faria, Alcinei Místico Azevedo, Nayany Gomes Rabelo, Varlen Zeferino Anastácio, Valentina de Melo Maciel, Deltimara Viana Matos, Elias Barbosa Rodrigues, Phelipe Souza Amorim, Janete Ramos da Silva, Fernanda de Souza Santos

“…Visual classification of tomatoes for genetic improvement programs faces challenges due to variety diversity, uneven ripening, external damages, and evaluator subjectivity. Recent advances in the field of computational resources, such as image phenotyping have enabled pre- and post-harvest assessments that are both fast and precise. …”
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Geometrical optimization of PWR spacer grids using GeN-Foam and Genetic Algorithms by Carlos Rodrigo Dias, Tiago Augusto Santiago Vieira, Andre Augusto Campagnole dos Santos, Graiciany de Paula Barros, Vitor Vasconcelos Araújo Silva, Ana Luiza Miranda Froes, Rebeca Cabral Gonçalves, Keferson de Almeida Carvalho, Higor Fabiano Pereira de Castro

“… This paper presents the results of Computational Fluid Dynamics (CFD) oriented geometrical optimization using the GeN-Foam solver applied to subchannels of the fuel assembly in a PWR-type nuclear reactor. …”
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Disorders of Consciousness, Language and Communication Following Severe Brain Injury by Charlène Aubinet, Anaïs Gillet, Amandine Regnier

“…Behavioral assessment scales remain the primary tools for evaluating the level of consciousness of these patients following a coma; however, they heavily depend on language and communication abilities. …”
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Association between fecal incontinence and cardiovascular disease in adult Americans: evidence from NHANES 2005–2010 by Chenkai Xu, Chenkai Xu, Yongfu Song, Yuejiao Lan, Yongji Wang, Na Wang, Xiaodan Lu, Xiaodan Lu

“…The presence of CVD was evaluated through a questionnaire. Adjusted odds ratios (OR) were computed utilizing a multivariate logistic regression model. …”
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FLE-YOLO: A Faster, Lighter, and More Efficient Strategy for Autonomous Tower Crane Hook Detection by Xin Hu, Xiyu Wang, Yashu Chang, Jian Xiao, Hongliang Cheng, Firdaousse Abdelhad

“…Experimental evaluations were also conducted using images of crane hooks captured under complex operating conditions. …”
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Deep Learning for Adrenal Gland Segmentation: Comparing Accuracy and Efficiency Across Three Convolutional Neural Network Models by Vlad-Octavian Bolocan, Oana Nicu-Canareica, Alexandru Mitoi, Maria Glencora Costache, Loredana Sabina Cornelia Manolescu, Cosmin Medar, Viorel Jinga

“…U-Net provides the optimal balance between accuracy and computational requirements, establishing a foundation for further refinement of AI-assisted adrenal imaging tools.…”
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Morphometry of Superior Sagittal Sinus and Its Clinical Significance by Grace Suganya, Ariharan Krishnaraj, Raveendranath Veeramani, Dinesh Kumar, Nagarajan Krishnan

“…We evaluated 100 computed tomography venography images. …”
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