Case Report: A case of transcatheter aortic valve replacement in a patient with a small aortic annulus using the Acurate Neo2 by Shahzil Abdur Rehman Malik, Jamshed Ali, Maleeha Javed, Kamran Hussain, Navaira Azeem, Nasir Rehman, Osman Faheem

“…Our case highlights the off-label use of the Acurate Neo2 valve in one of the smallest aortic annuli reported to date, showcasing its feasibility in Asian and resource-limited settings.…”
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Evaluation on Genotoxicity and Teratogenicity of Aqueous Extract from Cyclocarya paliurus Leaves by Lihong Deng, Jiandu Lei, Jing He, Jing Liu, Luying Wang, Rui Zhang, Xinhua Liu, Yun Liu

“…Tremendous attentions have been attracted to the foods labeled with natural, green, organic, and nuisanceless conception of healthy diet. …”
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Deep learning and explainable AI for classification of potato leaf diseases by Sarah M. Alhammad, Doaa Sami Khafaga, Walaa M. El-hady, Farid M. Samy, Khalid M. Hosny

“…Transfer learning enables the model to benefit from pre-trained neural network architectures and weights, enhancing its ability to learn meaningful representations from limited labeled data. Additionally, Explainable AI techniques are integrated into the model to provide interpretable insights into its decision-making process, contributing to its transparency and usability. …”
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Evaluation of the Anti-Inflammatory and Antinociceptive Effects of the Essential Oil from Leaves of Xylopia laevigata in Experimental Models by João Carlos C. Queiroz, Ângelo R. Antoniolli, Lucindo J. Quintans-Júnior, Renan G. Brito, Rosana S. S. Barreto, Emmanoel V. Costa, Thanany B. da Silva, Ana Paula Nascimento Prata, Waldecy de Lucca, Jackson R. G. S. Almeida, Julianeli T. Lima, Jullyana S. S. Quintans

“…Additionally, pretreatment with EOX, in mice, also significantly produced (P<0.05 or P<0.001) antinociceptive effect by reduction of nociceptive behavior (in formalin and writhing tests). The EOX showed c-Fos label in the olfactory bulb, piriform cortex, and periaqueductal gray. …”
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Hyperspectral Band Selection with Unique Pixel Extraction and Adaptive Neighbor Clustering by Bing Han, Mingqing Liu, Zhenyu Ma, Ke Zhang, Yanke Xu, Jingyu Wang, Qi Wang

“…Second, an adaptive neighbor clustering method is designed based on the unique pixels, which groups bands into several clusters through optimizing the graph structure under label smoothness. With support vector machines (SVM) as the classifier, the UPANC method achieved good performance, where the overall accuracy scores were 89.05%, 82.62%, and 92.07% on the Houston, IndianPines, and Pavia University datasets, respectively. …”
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Intravitreal Bevacizumab Injection Attenuates Diabetic Retinopathy in Adult Rats with Experimentally Induced Diabetes in the Early Stage by Jiao Lv, Miao-Miao Chen, Zhi-Hao Mu, Fang Wang, Zhong-Yi Qian, Lei Zhou, Qiu-Ting Guo, Zhi-Min Zhao, Yu-Ping Pan, Xin-Yu Liao, Zhi-Hong Yang, Ning Cai, Ying-Ying Zou, Shu-De Li

“…In this connection, the immunofluorescence labeling of the above biomarkers was noticeably decreased. …”
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A dataset for evaluating clinical research claims in large language models by Boya Zhang, Alban Bornet, Anthony Yazdani, Philipp Khlebnikov, Marija Milutinovic, Hossein Rouhizadeh, Poorya Amini, Douglas Teodoro

“…The dataset used study arms and interventions, primary outcome measures, and results from clinical trials to derive and label clinical research claims. These claims were then linked to supporting information describing clinical trial results in scientific publications. …”
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A Novel Approach to Face Verification Based on Second-Order Face-Pair Representation by Qiang Hua, Chunru Dong, Feng Zhang

“…All the experiments are carried out on Labeled Face in the Wild (LFW) to verify the algorithm’s effectiveness against challenging uncontrolled conditions.…”
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Models for information propagation on graphs by Oliver R. A. Dunbar, Charles M. Elliott, Lisa Maria Kreusser

“…Finally, we apply the front propagation models on graphs to semi-supervised learning via label propagation and information propagation on trust networks.…”
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Phosphorus and Nutrition in Chronic Kidney Disease by Emilio González-Parra, Carolina Gracia-Iguacel, Jesús Egido, Alberto Ortiz

“…However, not all animal proteins and vegetables have the same proportion of phosphorus in their composition. Adequate labeling of food requires showing the phosphorus-to-protein ratio. …”
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Cerebrospinal Fluid BACE1 Activity and Brain Amyloid Load in Alzheimer's Disease by Timo Grimmer, Panagiotis Alexopoulos, Amalia Tsolakidou, Liang-Hao Guo, Gjermund Henriksen, Behrooz H. Yousefi, Hans Förstl, Christian Sorg, Alexander Kurz, Alexander Drzezga, Robert Perneczky

“…We explored associations between CSF BACE1 activity and fibrillar amyloid pathology as measured by carbon-11-labelled Pittsburgh Compound B positron emission tomography ([11C]PIB PET). [11C]PIB and CSF studies were performed in 31 patients with AD. …”
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Deep-Learning-Based Bughole Detection for Concrete Surface Image by Gang Yao, Fujia Wei, Yang Yang, Yujia Sun

“…A deep convolutional neural network for detecting bugholes on concrete surfaces was developed, by adding the inception modules into the traditional convolution network structure to solve the problem of the relatively small size of input image (28 × 28 pixels) and the limited number of labeled examples in training set (less than 10 K). …”
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Functional-proteomics-based investigation of the cellular response to farnesyltransferase inhibition in lung cancer by Yanbo Pan, Olena Berkovska, Soumitra Marathe, Georgios Mermelekas, Greta Gudoityte, Amare D. Wolide, Taner Arslan, Brinton Seashore-Ludlow, Janne Lehtiö, Lukas M. Orre

“…In this study, we performed a global proteomics analysis to investigate farnesylation and the effects of tipifarnib in lung cancer cell lines. Using metabolic labeling and mass spectrometry, we identified farnesylated proteins and mapped their subcellular localization. …”
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Locality preserving binary face representations using auto‐encoders by Mohamed Amine Hmani, Dijana Petrovska‐Delacrétaz, Bernadette Dorizzi

“…The binary representations are evaluated on the MOBIO and the Labelled Faces in the Wild databases, where their biometric recognition performance and entropy are measured. …”
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Driving Style Recognition under Connected Circumstance Using a Supervised Hierarchical Bayesian Model by Depeng Chen, Zhijun Chen, Yishi Zhang, Xu Qu, Mingyang Zhang, Chaozhong Wu

“…Firstly, a novel method is established for driving behavioral encoding and raw driving data mining. Then, the Labeled Latent Dirichlet Allocation (LLDA) is proposed to understand the latent driving styles from individual driving with driving behaviors. …”
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Robust fault detection and classification in power transmission lines via ensemble machine learning models by Tahir Anwar, Chaoxu Mu, Muhammad Zain Yousaf, Wajid Khan, Saqib Khalid, Ahmad O. Hourani, Ievgen Zaitsev

“…Results indicate that RF-LSTM Tuned KNN achieves a remarkable accuracy of 99.96% on a multi-label dataset, outperforming RF (97.50%) and KNN (96.55%). …”
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Rough Sets Data Analysis in Knowledge Discovery: A Case of Kuwaiti Diabetic Children Patients by Aboul ella Hassanien, Mohamed E. Abdelhafez, Hala S. Own

“…To increase the efficiency of the classification process, rough sets with Boolean reasoning discretization algorithm is introduced to discretize the data, then the rough set reduction technique is applied to find all reducts of the data which contains the minimal subset of attributes that are associated with a class label for classification. Finally, the rough sets dependency rules are generated directly from all generated reducts. …”
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Prediction of OCT contours of short-term response to anti-VEGF treatment for diabetic macular edema using generative adversarial networks by Xueying Yang, Fabao Xu, Han Yu, Zhongwen Li, Xuechen Yu, Zhiwen Li, Li Zhang, Jie Liu, Shaopeng Wang, Shaopeng Liu, Jiaming Hong, Jianqiao Li

“…We endeavor to employ preoperative images along with postoperative OCT contours annotated and extracted via LabelMe and OpenCV to train the model in generating postoperative contours of critical OCT structures instead of previous whole retinal morphology, considerably alleviating the difficulty of output phase and diminishing the requisite quantity of training datasets. …”
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Generation of Smoke Dataset for Power Equipment and Study of Image Semantic Segmentation by Rong Chang, Zhengxiong Mao, Jian Hu, Haicheng Bai, Anning Pan, Yang Yang, Shan Gao

“…This paper addresses the problems of limited smoke data, difficult labeling, and insufficient research on recognition algorithms in power systems. …”
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Fine-Tuning BERT Models for Multiclass Amharic News Document Categorization by Demeke Endalie

“…This paper describes the fine-tuning of a pretrained BERT model to classify Amharic news documents into different news labels. We modified and retrained the model using a custom news document dataset separated into seven key categories. …”
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