Unsupervised Hyperspectral Denoising Based on Deep Image Prior and Least Favorable Distribution by Keivan Faghih Niresi, Chong-Yung Chi

“…Lately, it has been reported that the convolutional neural network (CNN), the core element used by deep image prior (DIP), is able to capture image statistical characteristics without the need of training, i.e., restore the clean image blindly. …”
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Comparative Analysis of Pre-trained based CNN-RNN Deep Learning Models on Anomaly-5 Dataset for Action Recognition by Fayaz Ahmed Memon, Umair Ali Khan, Pardeep Kumar, Imtiaz Ali Halepoto, Farida Memon

“…The CNN-RNN architectures we considered for analysis in this paper, the ResNet152V2 based CNN-RNN model exhibits better performance and achieved highest accuracy, precision, recall and F1-score equal to 92.20% due to its ability to capture more complex spatial features. This comparative analysis may guide the researchers in selecting appropriate models for real-world applications for action recognition. …”
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Pulmonary Embolism and Intracardiac Type A Thrombus with an Unexpected Outcome by João Português, Lucy Calvo, Margarida Oliveira, Vítor Hugo Pereira, Joana Guardado, Mário Rui Lourenço, Olga Azevedo, Francisco Ferreira, Filipa Canário-Almeida, António Lourenço

“…Type A thrombi are serpiginous and highly mobile and are thought to be originated from large veins and captured in-transit within the right heart. Optimal management of RHT is still uncertain. …”
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Assessment of a Low-Cost Ultrasound Pericardiocentesis Model by Marco Campo dell'Orto, Dorothea Hempel, Agnieszka Starzetz, Armin Seibel, Ulf Hannemann, Felix Walcher, Raoul Breitkreutz

“…Acute care physicians actually need to train emergency pericardiocentesis. …”
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A Systematic Review of Bilateral Upper Limb Training Devices for Poststroke Rehabilitation by A. (Lex) E. Q. van Delden, C. (Lieke) E. Peper, Gert Kwakkel, Peter J. Beek

“…However, the clinical outcomes do not rule out the possibility that the concept of bilateral training and the accompanied devices may provide a useful extension of currently available forms of therapy. To actually demonstrate their (surplus) value, more research with adequate experimental, dose-matched designs, and sufficient statistical power are required.…”
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Survey data on strategic alignment in multispecialty hospitals: Implementing a balanced scorecard approach for optimal performanceMendeley Data by Shefali Mohan, Rohit Kushwaha, M. Venkatesan, Ramya Singh, Manish Mishra

“…The data collection process involved Interviews and administering structured questionnaires to participants, capturing their perceptions and experiences related to strategic alignment, BSC implementation, and performance outcomes.The dataset comprises responses from a diverse group of healthcare professionals, including doctors, nurses, administrators, and support staff. …”
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Unraveling Power Consumption Pattern Using Multidimensional Scaling and Clustering Analysis by Utkarsh Misra, Gyana Ranjan Sahoo, Shikhar Prakash, Madhur Srivastava

“…With the rapid growth in electricity demand data and the integration of distributed energy resources, traditional methods struggle to capture zonal load patterns effectively. This study presents a dimensionality reduction approach combined with clustering to analyze seasonal energy load dynamics across zones managed by the New York Independent System Operator (NYISO). …”
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Unmanned Aerial Vehicles for Real-Time Vegetation Monitoring in Antarctica: A Review by Kaelan Lockhart, Juan Sandino, Narmilan Amarasingam, Richard Hann, Barbara Bollard, Felipe Gonzalez

“…Despite the potential of established Machine-Learning (ML) classifiers such as Random Forest, K Nearest Neighbour, and Support Vector Machine, and gradient boosting in the semantic segmentation of UAV-captured images, there is a notable scarcity of research employing Deep Learning (DL) models in these extreme environments. …”
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Loosening rocks detection at Draa Sfar deep underground mine in Morocco using infrared thermal imaging and image segmentation models by Kaoutar Clero, Said Ed-Diny, Mohammed Achalhi, Mouhamed Cherkaoui, Imad El Harraki, Sanaa El Fkihi, Intissar Benzakour, Tarik Soror, Said Rziki, Hamd Ait Abdelali, Hicham Tagemouati, François Bourzeix

“…Infrared images of rock blocks were captured at the Draa Sfar deep underground mine in Morocco using the FLUKE TI401 PRO thermal camera. …”
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Construction and Analysis of Emotion Computing Model Based on LSTM by Huiping Jiang, Rui Jiao, Zequn Wang, Ting Zhang, Licheng Wu

“…The electroencephalogram (EEG) is the most common method used to study emotions and capture electrical brain activity changes. Long short-term memory (LSTM) processes the temporal characteristics of data and is mostly used for emotional text and speech recognition. …”
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APT Adversarial Defence Mechanism for Industrial IoT Enabled Cyber-Physical System by Safdar Hussain Javed, Maaz Bin Ahmad, Muhammad Asif, Waseem Akram, Khalid Mahmood, Ashok Kumar Das, Sachin Shetty

“…To overcome these issues, a new approach is suggested that is based on the Graph Attention Network (GAN), a multi-dimensional algorithm that captures behavioral features along with the relevant information that other methods do not deliver. …”
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Develop an emotion recognition system using jointly connectivity between electroencephalogram and electrocardiogram signals by Javid Farhadi Sedehi, Nader Jafarnia Dabanloo, Keivan Maghooli, Ali Sheikhani

“…We propose a novel method of estimating effective connectivity (EC) to capture the dynamic interplay between the heart and brain during emotions of happiness, disgust, fear, and sadness. …”
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Characterizing Patients with Unilateral Vestibular Hypofunction Using Kinematic Variability and Local Dynamic Stability during Treadmill Walking by Peng Liu, Qiuhong Huang, Yongkang Ou, Ling Chen, Rong Song, Yiqing Zheng

“…Thirty-four markers were attached to anatomical positions of each participant, and a three-dimensional (3D) motion analysis system was used to capture marker coordinates as the participants walked on a treadmill. …”
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Utilization Of Palm Palm Industry Liquid Waste For Palm Oil Plantation Land Applications by Sahadi Didi Ismanto, Lisa Rahayu

“…The use of fertilizer on land application land was initially greater than on land that did not use land application land, this was because agricultural yields had actually started to decline because they were over 20 years old, but the use of fertilizer was decreasing every year, and (5). …”
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Linking machine learning and biophysical structural features in drug discovery by Armin Ahmadi, Shivangi Gupta, Vineetha Menon, Jerome Baudry

“…IntroductionMachine learning methods were applied to analyze pharmacophore features derived from four protein-binding sites, aiming to identify key features associated with ligand-specific protein conformations.MethodsUsing molecular dynamics simulations, we generated an ensemble of protein conformations to capture the dynamic nature of their binding sites. …”
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Ensemble graph auto-encoders for clustering and link prediction by Chengxin Xie, Jingui Huang, Yongjiang Shi, Hui Pang, Liting Gao, Xiumei Wen

“…However, existing graph auto-encoder models often overlook node representations and fail to capture contextual node information within the graph data, resulting in poor embedding effects. …”
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Social Inversions and Education by D. A. Sevost’yanov

“…Thus, the resolution of contradictions occurs when the subject actually moves to a higher position in the social hierarchy. …”
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Individual and sex differences in frontloading behavior and approach- avoidance conflict preference predict addiction-like ethanol seeking in rats by Tanner A. McNamara, Hanyi Weng, Hsin Yu Liao, Rutsuko Ito

“…However, preclinical studies have typically assessed alcohol drinking using a singular dimension of intake (i.e. drinking level), failing to capture the multidimensional pattern of aberrant alcohol-seeking observed in alcohol use disorder. …”
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El profesorado ante la educación inclusiva: perfiles actitudinales y orientaciones para su formación by Pablo Palomero-Fernández, Katherine Gajardo-Espinoza, Noelia Santamaría-Cárdaba

“… La inclusión es uno de los principales retos que afrontan los sistemas educativos actuales. Aunque la mayoría de los países hispanohablantes han puesto en marcha políticas inclusivas durante los últimos años, numerosas investigaciones señalan que las actitudes de los docentes son determinantes para facilitar la plena inclusión en las escuelas. …”
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EFFECT OF GREEN HUMAN RESOURCE MANAGEMENT ON CORPORATE SUSTAINABILITY IN THE INSURANCE SECTOR by Adelugba Iyabode Abisola, Eze Benneth Uchenna, Olojede Paul, Eyanuku Julius Paul

“…However, the model did not explain 66.9% of the variation in corporate sustainability, implying that there are other elements or factors associated with corporate sustainability, which were not captured in the current model. The study concludes that Green HRM is an important driver of corporate sustainability in the Nigerian insurance industry. …”
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