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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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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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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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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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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Finansial Analysis of Wanayasa Tilapia Culture in Mekarsari Farmer Group by I. Diatin, Moch. P. Sobari, I. Irianni

“…The business eligibility and its sensitivity judged by investment criteria i.e. NPV, Net B/C, and IRR.  The result shows the NPV is IDR 225,116,401.83, Net B/C is 19.38, and IRR is 707%.  …”
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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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Improved coordinate attention network for classification of dangerous driving behavior by Wen Ni, Lufeng Bai

“…Traditional methods such as AlexNet and VGG, while effective for general image recognition tasks, fail to capture the complex and subtle features necessary for recognizing dangerous driving behaviors. …”
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Fifty years of Lithuanian school mathematical olympiads by Romualdas Kašuba, Juozas Juvencijus Mačys

“… In the paper the importance of the mathematical olympiads for the general development as well as for the actual state of education and training of mind and related problems are discussed. …”
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Transfer Learning-Based Health Monitoring of Robotic Rotate Vector Reducer Under Variable Working Conditions by Muhammad Umar Elahi, Izaz Raouf, Salman Khalid, Faraz Ahmad, Heung Soo Kim

“…Four TL models, EfficientNet, MobileNet, GoogleNet, and ResNET50v2, are considered. …”
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Re-Calibrating Network by Refining Initial Features Through Generative Gradient Regularization by Naim Reza, Ho Yub Jung

“…The results evidenced a performance gain of 1.66% for the CIFAR dataset using WideResNet, 1.22% for the SVHN dataset using PreResNet and 0.57% for the ImageNet dataset using ResNet.…”
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A geometric approach for accelerating neural networks designed for classification problems by Mohsen Saffar, Ahmad Kalhor, Ali Habibnia

“…The proposed method achieves impressive pruning results on networks trained by CIFAR-10 and ImageNet datasets, with 87.5%, 77.6%, and 78.8% of VGG16, GoogLeNet, and DenseNet parameters pruned, respectively. …”
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Mounting Angle Prediction for Automotive Radar Using Complex-Valued Convolutional Neural Network by Sunghoon Moon, Younglok Kim

“…By utilizing complex-valued inputs, AutoRAD-Net effectively learns the physical properties of the radar data, enabling precise azimuth alignment. …”
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