LFN-YOLO: precision underwater small object detection via a lightweight reparameterized approach by Mingxin Liu, Mingxin Liu, Yujie Wu, Ruixin Li, Cong Lin, Cong Lin

“…Furthermore, We employed the Generalized Feature Pyramid Network (GFPN) for feature fusion in the network's neck, enhancing the network's adaptability to features of varying scales. …”
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First-principles calculations to investigate thermoelectric, thermophysical, and optical properties of RNi₄P₁₂ (R = Sm, Eu) rare-earth metal skutterudites by Poorva Nayak, Dinesh C. Gupta

“…Additionally, spin-polarized band structures unveil significant net magnetism, indicating potential applications in spintronics. …”
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Discovering broad-spectrum inhibitors for SARS-CoV-2 variants: a cheminformatics and biophysical approach targeting the main protease by Safar M. Alqahtani

“…Similarly, the net molecular mechanics Poisson–Boltzmann surface area binding energies of BBB-26580140, BDE-32007849, LAS-51378804, and control are −53.6, −57.61, −54.41, and −50.09 kcal/mol, respectively. …”
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Anxiety, Anger and Depression Amongst Low-Income Earners in Southwestern Uganda During the COVID-19 Total Lockdown by Archibong, Victor, Usman, Ibe Michael, Keneth Iceland, Kasozi, Osamudiamwen, Eric Aigbogun Jr., Josiah, Ifie, Monima, Ann Lemuel, Ssebuufu, Robinson, Chekwech, Gaudencia, Terkimbi, Swase Dominic, Owoisinke, Okon, Mbiydzenyuy, Ngala Elvis, Adeoye, Azeez, Aruwa, oshua Ojodale, Afodun, Adam Moyosore, Odoma, Saidi, Ssempijja, Fred, Ayikobua, Emmanuel Tiyo, Ayuba, John Tabakwot, Nankya, Viola, Onongha, Comfort, Sussan, Henry, Matama, Kevin, Yusuf, Helen, Nalugo, Halima, MacLeod, Ewan, Welburn, Susan Christina

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Predictors of sickness absence among employees with common mental disorders in Sweden– a longitudinal study by Anna Frantz, Anna Toropova, Iben Axén, Gunnar Bergström, Anna Finnes, Elisabeth Björk Brämberg

“…Data was analyzed using generalized estimating equations. Results The sample consisted of 197 employees. …”
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Development and internal validation of a prognostic model for predicting tonic-clonic seizures during pregnancy in women with epilepsy by Yanru Du, Wenting Huang, Ying Wang, Jiahe Lin, Niange Xia, Zhenguo Zhu, Xinshi Wang, Yuchen Xu, Huiqin Xu

“…The WMU model showed good performance, but without external validation, it is unclear whether WMU model could be generalized.…”
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Effect of nutrition education on hemoglobin level of pregnant women in Southeast Ethiopia: a cluster randomized controlled trial by Girma Beressa, Susan J. Whiting, Tefera Belachew

“…The Hgb level of pregnant women was measured by collecting a finger-prick blood sample using a HemoCue Hb 301. A generalized estimating equation (GEE) model was used to isolate the net effect of the intervention on Hgb, accounting for the clustering. …”
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Development and validation of a biomarker-based prediction model for metastasis in patients with colorectal cancer: Application of machine learning algorithms by Erfan Ayubi, Sajjad Farashi, Leili Tapak, Saeid Afshar

“…Subsequently, the prediction model was developed and internally validated using five machine learning (ML) algorithms including lasso and elastic-net regularized generalized linear model (glmnet), k-nearest neighbors (kNN), support vector machine (SVM) with Radial Basis Function Kernel, random forest (RF), and eXtreme Gradient Boosting (XGBoost). …”
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Efficacy and predictors of response to somatostatin analogues in patients with ectopic ACTH syndrome by Olga O. Golounina, Zhanna E. Belaya, Alla A. Markovich, Liudmila Y. Rozhinskaya, Galina A. Mel`nichenko, Natalia G. Mokrysheva, Ivan I. Dedov

“…Significant factors determining the response to SSAs after 6 months of treatment are expression status of SSTR5 and NET localization.…”
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Rainwater and fog harvesting from solar panels by I. Alazzam, K. Shatanawi, R. Al-Weshah

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Discovery of the microbiota-gut-brain axis mechanisms of acupuncture for amnestic mild cognitive impairment based on multi-omics analyses: A pilot study by Zi-Han Yin, Qiong-Nan Bao, Ya-Qin Li, Yi-Wei Liu, Zi-Qi Wang, Fang Ye, Xia He, Xin-Yue Zhang, Wan-Qi Zhong, Ke-Xin Wu, Jin Yao, Zi-Wen Chen, Ling Zhao, Fan-Rong Liang

“…Results: Compared to a mean baseline to week 12 change of –3.94 in the acupuncture group, the mean change in the waitlist group was 1.72 (net difference, –5.66 [95 % CI, –6.98 to –4.35]). …”
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Evaluating CNN Architectures and Hyperparameter Tuning for Enhanced Lung Cancer Detection Using Transfer Learning by Mohd Munazzer Ansari, Shailendra Kumar, Umair Tariq, Md Belal Bin Heyat, Faijan Akhtar, Mohd Ammar Bin Hayat, Eram Sayeed, Saba Parveen, Dustin Pomary

“…Transfer learning models showed better generalization, with DenseNet-201 achieving a top validation accuracy of 96.88% and EfficientNet-B4 of 96.53%. …”
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An assessment of breast cancer HER2, ER, and PR expressions based on mammography using deep learning with convolutional neural networks by Shun Zeng, Hongyu Chen, Rui Jing, Wenzhuo Yang, Ligong He, Tianle Zou, Peng Liu, Bo Liang, Dan Shi, Wenhao Wu, Qiusheng Lin, Zhenyu Ma, Jinhui Zha, Yonghao Zhong, Xianbin Zhang, Guangrui Shao, Peng Gong

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Comparison of deep transfer learning models for classification of cervical cancer from pap smear images by Harmanpreet Kaur, Reecha Sharma, Jagroop Kaur

“…A comprehensive comparison of 16 pre-trained models (VGG16, VGG19, ResNet50, ResNet50V2, ResNet101, ResNet101V2, ResNet152, ResNet152V2, DenseNet121, DenseNet169, DenseNet201, MobileNet, XceptionNet, InceptionV3, and InceptionResNetV2) were carried out for cervical cancer classification by relying on the Herlev dataset and Sipakmed dataset. …”
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Enhanced pedestal transport driven by edge collisionality on Alcator C-Mod and its role in regulating H-mode pedestal gradients by M.A. Miller, J.W. Hughes, A.M. Rosenthal, S. Mordijck, R. Reksoatmodjo, M. Wigram, J. Dunsmore, F. Sciortino, R.S. Wilcox, T. Odstrčil

“…The modeling confirms general growth in $D_\mathrm{eff}$ , consistent with experimental findings, and additionally suggests even larger growth in χ _e at the same $P_\mathrm{net}^\mathrm{crit}$ .…”
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Adapting to evolving MRI data: A transfer learning approach for Alzheimer’s disease prediction by Rosanna Turrisi, Sarthak Pati, Giovanni Pioggia, Gennaro Tartarisco

“…This study explores Transfer Learning (TL) approaches to enhance AD diagnosis using a Baseline model consisting of a 3D-Convolutional Neural Network trained on 80 3T MRI scans.Two scenarios are explored: (A) utilizing historical data to address changes in MRI acquisitions (from 1.5T to 3T MRI), and (B) adapting 2D models pre-trained on ImageNet (ResNet18, ResNet50, ResNet101) for 3D image processing when historical data is unavailable. …”
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Convolutional neural networks for diabetic retinopathy detection by Darwin Patiño-Pérez, Luis Armijos-Valarezo, Luis Chóez-Acosta, Freddy Burgos-Robalino

“…The findings reveal significant differences in the models' ability to learn and generalize. The non-pretrained CNN consistently outperformed the pretrained ResNet-18 and ResNet-50 models, achieving an accuracy of 91% and demonstrating notable classification stability. …”
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Deep Convolutional Neural Network Model for the Differential Diagnosis of Schizophrenia Using EEG Signals by Filiz Demirdöğen, Çağla Danacı, Seda Arslan Tuncer, Mustafa Akkuş, Sevler Yıldız

“…In the classification phase, ResNet18, ResNet50 and EfficientNet models, which are FastAI, and Convolutional Neural Network (CNN) based deep learning models, were used. …”
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Extracting knowledge of preventive maintenance using data mining technique in interaction with production within textile industry by Shahram Fatemi

“…Using IBM SPSS Modeler 18, the most significant results of datamining calculations to extract knowledge are as follows, which are arranged based on main predictors of the research: predicting models of "strategy innovation in net with data code (A5)" with the prediction wight of 0.34; "technology innovation in net with data code (A1)" with the prediction wight of 0.30; "work environment innovation in net with data code (A3)" with the prediction wight of 0.16; Quality innovation in net with data code (A4)" with the prediction wight of 0.15; "employe  innovation in net with data code (A2)" with the prediction wight of 0.10 are utilized to accurately analyze preventive maintenance in interaction with production.…”
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Adaptation and Feasibility Study of a Digital Health Program to Prevent Diabetes among Low-Income Patients: Results from a Partnership between a Digital Health Company and an Acade... by Valy Fontil, Kelly McDermott, Lina Tieu, Christina Rios, Eliza Gibson, Cynthia Castro Sweet, Mike Payne, Courtney R. Lyles

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