Few-shot Remote Sensing Imagery Recognition with Compositionality Inductive Bias in Hierarchical Representation Space by Shichao Zhou, Zhuowei Wang, Zekai Zhang, Wenzheng Wang, Yingrui Zhao, Yunpu Zhang

“…In this case, the prior knowledge learned from these data-driven methods may exhibit dataset bias, resulting in inadequate generalization to the current recognition task. …”
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IMCMK-CNN: A lightweight convolutional neural network with Multi-scale Kernels for Image-based Malware Classification by Dandan Zhang, Yafei Song, Qian Xiang, Yang Wang

“…The research into the direction of malware detection is dedicated to surmounting the limitations of conventional detection methodologies, and delves deeply into the application of cutting-edge technologies such as data visualization, machine learning, and hybrid detection within the realm of malware detection. …”
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Psychosocial climate in the classroom as a factor in academic success: The role of the teacher-student relationship by Radojević Tatjana S., Kompirović Tatjana P., Ljajko Šejla Š.

“…The question of the connection between the psychosocial climate in the classroom and student's academic success is of great importance today, as the role of environment and social factors in the learning process is increasingly emphasized. Adequate research on this issue could illuminate the significant role of social and emotional aspects in education. …”
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Free senior high school devours basic education in Ghana: rescue the children by Inusah Fuseini

“…Through this, nations can promote life-long learning with inclusivity and equity in education. …”
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Decoding cyanide toxicity: Integrating Quantitative Structure-Toxicity Relationships (QSTR) with species sensitivity distributions and q-RASTR modeling by Kabiruddin Khan, Ramin Abdullayev, Gopala Krishna Jillella, Varun Gopalakrishnan Nair, Mahmoud Bousily, Supratik Kar, Agnieszka Gajewicz-Skretna

“…Key molecular descriptors, including topological, geometrical, and electronic properties, were computed using ALOGPS 2.1, ChemAxon, and Elemental-Descriptor 1.0. Three machine learning methods MLR, PLS, and kNN were employed to develop predictive models. …”
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Top-Down Computerized Cognitive Remediation in Schizophrenia: A Case Study of an Individual with Impairment in Verbal Fluency by Marjolaine Masson, Til Wykes, Michel Maziade, Clare Reeder, Marie-Anne Gariépy, Marc-André Roy, Hans Ivers, Caroline Cellard

“…The results of the current case study suggest that (1) it is possible to improve specific cognitive processes with targeted exercises, as seen by the improvement in visual memory due to training exercises targeting this cognitive domain; (2) cognitive remediation can produce improvements in cognitive processes not targeted during remediation since verbal fluency was improved while there was no training exercise on this specific cognitive process; and (3) including learning strategies in cognitive remediation increases the value of the approach and enhances participant improvement, possibly because strategies using verbalization can lead to improvement in verbal fluency even if it was not practiced.…”
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Artificial Neural Networks as a Tool for High-Accuracy Prediction of In-Cylinder Pressure and Equivalent Flame Radius in Hydrogen-Fueled Internal Combustion Engines by Federico Ricci, Massimiliano Avana, Francesco Mariani

“…Furthermore, this methodology could subsequently be applied to conventional road engines exhibiting characteristics and performance similar to those of a specific optical engine used as the basis for the machine learning analysis, offering a practical advantage in real-time diagnostics.…”
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Artificial intelligence empowered voice generation for amyotrophic lateral sclerosis patients by Stefano Regondi, Giordana Donvito, Emanuele Frontoni, Milutin Kostovic, Fabio Minazzi, Sébastien Bratières, Massimiliano Filosto, Raffaele Pugliese

“…In light of these challenges, this study aims to assess the effectiveness and the perceptual impact of AI-generated voices on ALS patients with preserved speech, utilizing a personalized voice synthesis system based on machine learning. The AI-generated patient-specific voice is achieved through voice recording, followed by fine-tuning using a Generative Adversarial Network for Efficient and High Fidelity Speech Synthesis (HiFi-GAN), resulting in a model capable of producing speech highly similar to the patient’s own voice, with exceptional expressive and audio quality. …”
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Modeling of wave-induced drift based on stepwise parameter calibration by Kui Zhu, Xueyao Chen, Lin Mu, Lin Mu, Lin Mu, Dingfeng Yu, Dingfeng Yu, Runze Yu, Zhaolong Sun, Tong Zhou, Tong Zhou

“…This study examined the wave-induced drift’s influence on field-observation experiments involving two common, differently sized SAR targets—an offshore fishing vessel (OFV) and a person in the water (PIW)—using parameter stepwise calibration and machine-learning (ML) methods. The sample of wave-induced drift velocity was obtained by gradually separating current-induced (CI) drift’s and wind-induced (WI) drift’s influence from the target-drift velocity using the least-square method and AP98 model. …”
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Distinguishing benign and malignant myxoid soft tissue tumors: Performance of radiomics vs. radiologists. by Joshua M Lawrenz, Can Cui, Samuel R Johnson, Katherine S Hajdu, Stephen W Chenard, Akhil Rekulapelli, Cullen P Moran, John J Block, Nicholson S Chadwick, Joanna L Shechtel, Brian Bingham, Leo Y Luo, Jennifer L Halpern, Herbert S Schwartz, Ginger E Holt, David S Smith, Benoit Dawant, Hakmook Kang

“…The purpose of this study is comparison of the diagnostic performance of a radiomic based machine learning (ML) model to musculoskeletal radiologists.…”
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Advanced colon cancer detection: Integrating context-aware multi-image fusion (Camif) in a multi-stage framework by M.V.R. Vittal

“…The proposed approach uses advanced deep learning models to integrate pre-processing, segmentation, and classification. …”
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Requirements for Police Officer’s Personality in Terms of Globalization and the Implementation of International Standards of Law Enforcement Officers’ Conduct by D. V. Shvets, N. O. Rastorguyeva

“…It has been concluded that the educational process in higher educational institutions of the Ministry of Internal Affairs of Ukraine given the current requirements and threats, as well as taking into account the provisions of international law enforcement standards, should be aimed at: 1) providing in-depth study of international human rights standards and law enforcement officers conduct in order to guarantee a positive development of future police officer’s personality; 2) updating and expanding the methods of problem-based learning in order to form the competencies provided by international standards of law enforcement activity; 3) using interactive forms, methods and innovative tools that allow to form the relevant personal qualities of police officers by modeling situations of professional activity; 4) practical training on the use of force and its permissible limits in terms of the principles established in the field of human rights, in particular in the European Convention on Human Rights, and in relevant law enforcement practice, which should be a part of police professional training at all levels.…”
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Hybrid optimized artificial neural network using Latin hypercube sampling and Bayesian optimization for detection, classification and location of faults in transmission lines by Abdul Yussif Seidu, Elvis Twumasi, Emmanuel Assuming Frimpong

“…Using the strategic insight of LHS, optimal initial points were determined, which subsequently formed the basis for the Bayesian optimization to further refine the learning rate and training epochs. Within the fault detection domain, the model showcased remarkable precision when deployed on an evaluation dataset of 168 cases, accurately detecting every instance of normal and faulty scenarios. …”
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CMACGSA: Improved Gravitational Search Algorithm Based on Cerebellar Model Articulation Controller for Optimization by Nazmiye Ebru Bulut, Emre Dandil, Ugur Yuzgec, Alpaslan Duysak

“…By employing the CMAC neural network, CMACGSA dynamically learns the masses of particles/agents of GSA, enabling a learning-driven approach to mass computation. …”
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YAP1 as a Novel Negative Biomarker of Immune Checkpoint Inhibitors for EGFR-Mutant Non-Small-Cell Lung Cancer by Ling-Chen Li, Xie-Wan Chen, Ling Fang, Chun-Li Jian, Yong-Xin Yu, Xing-Yun Liao, Jian-Guo Sun

“…The infiltration of immune cells and the expression of the identified tumor-associated antigens were identified with TIMER. By graph learning-based dimensionality reduction analysis, the immune landscape was visualized. …”
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Peripheral nerve injury induces dystonia-like movements and dysregulation in the energy metabolism: A multi-omics descriptive study in Thap1+/− mice by Colette Reinhold, Susanne Knorr, Rhonda L. McFleder, Lisa Harder-Rauschenberger, Tom Gräfenhan, Andreas Schlosser, Michael Sendtner, Jens Volkmann, Chi Wang Ip

“…Phenotypic analysis using an unbiased deep learning algorithm revealed that nerve-injured Thap1+/− mice exhibited significantly more dystonia like movements (DLM) over the course of the 12-week experiment compared to naive Thap1+/− mice. …”
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Prediksi Rating Film IMDb Menggunakan Decision Tree by Rifqy Rosdiyah Ilmi, Fachrul Kurniawan, Sri Harini

“…Prediction of movie ratings values can be modeled through machine learning using the decision tree model. From this research, it can be concluded that the popularity of the film and the value of user votes on the IMDb page have an effect on the film rating value. …”
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Augmented virtuality technology in education: taxonomy of augmented virtuality types by Alexandr V. Grinshkun, Anastasia S. Zakova

“…The choice depends on the educational task and learning conditions. Conclusion. The augmented virtuality usage in education gives an opportunity to place a student into a virtual environment and increase the realism of the educational simulation significantly (in comparison with virtual reality technology) by maintaining the interaction with the real world. …”
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Long-Term Follow-Up of Patients with 46,XY Partial Gonadal Dysgenesis Reared as Males by Juliana Gabriel Ribeiro de Andrade, Antonia Paula Marques-de-Faria, Helena Campos Fabbri, Maricilda Palandi de Mello, Gil Guerra-Júnior, Andréa Trevas Maciel-Guerra

“…Though additional studies are required, screening for learning disabilities is advisable.…”
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Electroacupuncture regulates ferroptosis to improve postoperative cognitive dysfunction in mice through mediating GRX1/GSK-3β/Nrf2 axis by Xiaqing Zhang, Afen Zhang, Rui Li, Mingna Jiao, Rou Wen, Rongzhi Zheng

“…Results: Our findings revealed that partial hepatectomy surgery impaired learning and memory ability of mice, promoted ferroptosis. inhibited GRX1 and inactivated GSK-3β/Nrf2 pathway. …”
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