A deep learning approach for early prediction of breast cancer neoadjuvant chemotherapy response on multistage bimodal ultrasound images by Jiang Xie, Jinzhu Wei, Huachan Shi, Zhe Lin, Jinsong Lu, Xueqing Zhang, Caifeng Wan

“…The GUS and CDFI videos of 101 patients collected from cooperative medical institutions were preprocessed to obtain 3000 sets of multistage bimodal ultrasound image combinations for experiments. …”
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Identification of hypertension gene expression biomarkers based on the DeepGCFS algorithm. by Zongjin Li, Liqin Tian, Libing Bai, Zeyu Jia, Xiaoming Wu, Changxin Song

“…Six genes (PTGS2, TBXA2R, ZNF101, KCNJ2, MSRA, and CMTM5) have been reported to be associated with hypertension. …”
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Evaluation of the Diagnostic Performance of Physical Examination Combined with Transvaginal Ultrasonography in Patients with Endometriosis by Talha Tiryaki, Tolga Karacan, Seyma Yesiralioglu, Eser Ozyurek, Huseyin Kiyak, Engin Oral

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Neretva Science Week 2022 – shedding light on the biodiversity of the upper Neretva River valley, Bosnia and Herzegovina by Gabriel Singer, Ulrich Eichelmann, Vera Knook, Steven Weiss, Vladimir Topić, Jelena Ivanić, Špela Borko, Maja Zagmajster

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Mutual trust as a backbone of EU Antitrust Law by Małgorzata Kozak

“…Then, the analysis concentrates on where there are boundaries to mutual trust in the decentralised application of art. 101 and 102 TFEU. Subsequently, the questions of how this trust works in practice and what the boundaries are that limit its application are addressed. …”
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Bioinsecticide Production from Cigarette Wastes by Badhane Gudeta, Solomon K, M. Venkata Ratnam

“…In addition, artificial neural network (ANN) studies with MATLAB were used to accurately forecast extraction yield. …”
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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

“…This study evaluates the performance of six convolutional neural network (CNN) architectures, ResNet-50, VGG-16, ResNet-101, VGG-19, DenseNet-201, and EfficientNet-B4, using the LIDC-IDRI dataset. …”
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Blood levels of cytokines highlight the role of inflammation in Alzheimer's disease by Lorenzo Campanelli, Pablo Galeano, Federico A. Prestia, Carolina Cuesta, Maria C. Dalmasso, María Flores-López, Cristian Gona, Nicolás Irureta, Claudia Kairiyama, Julieta Lisso, Antonio Jesús López-Gambero, Ines Mintz, Nancy Medel, Karen S. Campuzano, Carolina Muchnik, Gisela V. Novack, Natividad Olivar, Ivana Quiroga, Nerea Requena-Ocaña, Jose Antonio Reyes-Bueno, Pedro Serrano-Castro, Zulma Sevillano, Patricia Solis, Juan Suárez, Ivana Villella, Nancy Wukitsevits, Eduardo M. Castaño, Fernando Taragano, Silvia Kochen, Daniel G. Politis, Luis I. Brusco, Fernando Rodríguez de Fonseca, Laura Morelli

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Deep learning-based prediction of HER2 status and trastuzumab treatment efficacy of gastric adenocarcinoma based on morphological features by Zhida Wu, Tao Wang, Junlin Lan, Jianchao Wang, Gang Chen, Tong Tong, Hejun Zhang

“…Methods We analyzed a cohort of 300 consecutive surgical specimens and 101 biopsy specimens, all undergoing HER2 testing, along with 41 biopsy specimens receiving trastuzumab-based therapy for HER2-positive GAC. …”
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Psychological Reactions in Women with Pregnancy Termination Due to Fetal Anomaly by Gurcan Turkyilmaz, Yavuz Selim Atan, Emircan Erturk, Sebnem Turkyilmaz

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Evaluation of Nausea and Vomiting Severity in Pregnancies Conceived Through Assisted Reproduction by Ozge Senem Yucel Cicek, Merve Demir

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Efficient surface crack segmentation for industrial and civil applications based on an enhanced YOLOv8 model by Zeinab F. Elsharkawy, H. Kasban, Mohammed Y. Abbass

“…The results demonstrate that, for the Crack500 and Magnetic tile datasets, the suggested model’s segmentation Mean Average Precision (mAP50) is 10.1 and 26.4% higher than that of the original YOLOv8 models. …”
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Investigation of the Predictive Factors of Recurrent Ovarian Mucinous Cystadenoma by Aykut Ozcan, Meric Balikoglu, Kaan Okan Alkan, Varol Gulseren

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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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Energy Efficiency of Polish Farms Following EU Accession (2004–2021) by Adam Wąs, Julia Tsybulska, Piotr Sulewski, Vitaliy Krupin, Grzegorz Rawa, Iryna Skorokhod

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Evaluating the quality of care for heart failure hospitalizations in inflammatory arthritis – A population-based cohort study by Bindee Kuriya, Lihi Eder, Sahil Koppikar, Jessica Widdifield, Anna Chu, Jiming Fang, Irene Jeong, Douglas Lee, Jacob Udell

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Integrated bioinformatics analysis of the effects of chronic pain on patients with spinal cord injury by Jinlong Zhang, Jinlong Zhang, Longju Qi, Yuyu Sun, Yuyu Sun, Shiyuan Chen, Jinyi Liu, Jiaxi Chen, Fangsu Yan, Wenqi Wang, Qinghua Wang, Liang Chen

“…Additionally, we conducted an in-depth examination of immune infiltration in SCI to elucidate its correlation with chronic pain.ResultsAnalyzing 101 DEGs associated with SCI and chronic pain, we constructed a protein interaction network and identified 15 hub genes. …”
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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

“…In contrast, convolutional neural networks (CNN) models require large datasets to reduce overfitting and poor generalization. …”
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Aerosol Measurements over India: Comparison of MAX-DOAS Measurements with Ground-based (AERONET) and Satellite-based (MODIS) Data by Prithviraj Mali, Mriganka Sekhar Biswas, Steffen Beirle, Thomas Wagner, Shrivardhan Hulswar, Swaleha Inamdar, Anoop S. Mahajan

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COVID-19 health information needs of older adults from ethnic minority groups in the UK: a qualitative study by Jackie A Cassell, Laura J Hughes, Elizabeth Ford, Priyamvada Paudyal, Kavian Kulasabanathan, Jo Armes, Rebecca Sharp, Saliha Majeed-Hajaj, Emily Skinner, Naresh Khapangi Magar, Debbie Isobel Keeling

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