BuDDI: Bulk Deconvolution with Domain Invariance to predict cell-type-specific perturbations from bulk. by Natalie R Davidson, Fan Zhang, Casey S Greene

“…We first validated that BuDDI could learn domain invariant latent spaces on data with matched samples across each source of variability. …”
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Bilingual hate speech detection on social media: Amharic and Afaan Oromo by Teshome Mulugeta Ababu, Michael Melese Woldeyohannis, Emuye Bawoke Getaneh

“…In this work, a Bilingual hate speech detection for Amharic and Afaan Oromo languages were conducted using four different deep learning classifiers (CNN, BiLSTM, CNN-BiLSTM, and BiGRU) and three feature extraction (Keras word embedding, word2vec, and FastText) techniques. …”
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Artificially intelligent nursing homes: a scoping review of palliative care interventions by Isabel Ronan, Sabin Tabirca, Sabin Tabirca, David Murphy, Nicola Cornally, Mohamad M. Saab, Patrice Crowley

“…A broad range of machine learning solutions remain unused within the context of nursing home palliative care. …”
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Construction of a prediction and visualization system for cognitive impairment in elderly COPD patients based on self-assigning feature weights and residual evolution model by Wenwen Cheng, Chen Yu, Xiaohui Liu

“…We aimed to build better machine learning models and provide useful tools to provide better guidance and assistance for COPD patients' treatment and care.MethodsA total of 863 COPD patients from a local general hospital were collected and screened, and they were separated into two groups: cognitive impairment (356 patients) and cognitively normal (507 patients). …”
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Features of the Processes of Digitalization of Small and Medium-Sized Businesses in Ukraine by Reshetnyak Olena I., Bielikova Nadiia V., Yurchenko Oleksiy K., Kalashnikova Kateryna Yu.

“…Recommendations on digitalization of SMEs in Ukraine in conditions of limited resources are provided: introduction of the «learning culture» in SMEs, which is important for the use of digital technologies; creating a roadmap for achieving the business goals of SMEs’ digitalization, setting clear priorities for digital transformations depending on the cruciality of the business problems they solve; establishing cooperation with companies that can be useful for ensuring effective digitalization processes, researching the experience of other companies; search for opportunities to receive grants and financial support from government programs and international organizations aimed at supporting the digitalization of SMEs; the use of agile approaches in the implementation of digital solutions to ensure constant readiness for rapid changes and adaptation to new market conditions.…”
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Review of privacy computing techniques for multi-party data fusion analysis by LIU Shenglong, HUANG Xiuli, JIANG Yiwen, JIANG Jiawei, TIAN Yuechi, ZHOU Zejun, NIU Ben

“…There were still limitations for anonymity, scrambling, or access control-based traditional privacy desensitization measures, cryptography-based measures, and federated learning-based measures, while privacy computing theory provided a computational and information system framework for full-lifecycle protection, which needed to be combined with different application scenarios to implement full-lifecycle privacy information protection.…”
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Eco-innovative approaches for recycling non-polyester/cotton blended textiles by Chandra Manivannan Arun, Logeshwaran Panneerselvan, Gunasekhar Nachimuthu, Meredith Conaty, Thava Palanisami

“…In the sorting stage, integrating artificial intelligence (AI) and machine learning (ML) enhances efficiency and accuracy. Advanced methods, such as green chemistry, mechanical recycling, and enzymatic treatments, have proven effective for most blended textiles; however, fibers, such as polypropylene, still lack defined closed-loop recycling routes. …”
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Smart building energy management with renewables and storage systems using a modified weighted mean of vectors algorithm by Mohamed Ebeed, Sabreen hassan, Salah Kamel, Loai Nasrat, Ali Wagdy Mohamed, Abdel-Raheem Youssef

“…Firstly, it employs the Elite Centroid Quasi-Oppositional Base Learning (ECQOBL) approach to improve the exploitation capabilities of conventional algorithms. …”
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Reducing lead requirements for wearable ECG: Chest lead reconstruction with 1D-CNN and Bi-LSTM by Kazuki Hebiguchi, Hiroyoshi Togo, Akimasa Hirata

“…This study aims to develop a deep learning model capable of reconstructing complete 12-lead ECG waveforms using a minimal number of chest leads, thereby optimizing lead configurations for wearable ECG systems. …”
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College algebra students’ perceptions of exam errors and the problem-solving process by Mary E. Pilgrim, Linda C. Burks, Megan Ryals, Sloan Hill-Lindsay

“…Given the poor success rates often attributed to these courses, researchers have been looking for ways in which to better support student learning, such as examining the impact of enhancing study habits and skills and metacognitive knowledge. …”
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Schizophrenia recognition based on three-dimensional adaptive graph convolutional neural network by Guimei Yin, Jie Yuan, Yanjun Chen, Guangxing Guo, Dongli Shi, Lin Wang, Zilong Zhao, Yanli Zhao, Manjie Zhang, Yuan Dong, Bin Wang, Shuping Tan

“…Abstract Previous deep learning-based brain network research has made significant progress in understanding the pathophysiology of schizophrenia. …”
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The role of music performance anxiety in musical training: four personal histories by Oscar Casanova, María Elena Riaño, Francisco Javier Zarza-Alzugaray, Santos Orejudo

“…Institutions of musical learning can help students cope with this disorder by encouraging musical creativity and selecting educators who apply empathetic teaching styles well-adapted to their pupils’ needs. …”
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Clinicians’ experience with infographic summaries from the BMJ Rapid Recommendations: a qualitative user-testing study among residents and interns at a large teaching hospital in S... by Thomas Agoritsas, Per Vandvik, Tiffany Hirschel

“…Some users felt intimidated by numbers or the amount of information, although they perceived there could be a learning curve while using generic formats. Plain language summaries helped complement the visuals but could be further highlighted. …”
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Toll-like receptors in atopic dermatitis: pathogenesis and therapeutic implications by Ahmad Vafaeian, Fateme Rajabi, Nima Rezaei

“…Future directions include CRISPR-based gene editing to understand TLR functions, development of specific TLR modulators for targeted therapy, and machine learning applications to predict drug responses and identify novel ligands. …”
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Sensation seeking and risk adjustment: the role of reward sensitivity in dynamic risky decisions by Yin Qianlan, Chen Shou, Hou Tianya, Dong Wei, Taosheng Liu

“…By integrating the reinforcement learning model and neural measures obtained from dynamic risk-taking tasks, we aim to explore how these personality traits influence individual decision-making processes and engagement in risk-related activities. …”
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TepiSense: A Social Computing-Based Real-Time Epidemic Surveillance System Using Artificial Intelligence by Bilal Tahir, Muhammad Amir Mehmood

“…TepiSense compares the performance of 3 feature extraction techniques, 9 machine/deep learning models, and 3 Large Language Models (LLMs). …”
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DIGITALISATION OF CRISIS MANAGEMENT AND RESOURCE BALANCING FOR EDUCATIONAL QUALITY ASSURANCE AT A DISPLACED UNIVERSITY by Oleksandr Spivakovsky, Daria Malchykova, Viktoria Yatsenko

“…The transformation of business processes accelerated digitalization, and the pursuit of balance in the face of limited resources enabled the implementation of effective anti-crisis measures and the transformation of academic policy aimed at maintaining the quality of the educational process through distance learning technologies, both synchronous and asynchronous interaction formats. …”
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TDP-43 as a potential retinal biomarker for neurodegenerative diseases by Margit Glashutter, Margit Glashutter, Printha Wijesinghe, Joanne A. Matsubara, Joanne A. Matsubara

“…Future directions for the TDP-43 as a retinal biomarker for NDDs include retinal tracers, hyperspectral imaging, oculomics, and machine learning development.…”
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Rancang Bangun Website Akademik dengan Penyimpanan Sertifikat Digital Menggunakan Teknologi Blockchain by Windra Swastika, Hermawan Wirasantosa, Oesman Hendra Kelana

“…Abstract A certificate is a form of appreciation that a person receives after completing a certain competency or learning test. Certificates must be created and stored with good methods and security to prevent changes in content or even forgery. …”
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PENGARUH MODEL INKUIRI TERBIMBING TERHADAP KETERAMPILAN BERPIKIR KRITIS PADA MATA PELAJARAN FISIKA by Niki Harjilah, Rosane Medriati, Dedy Hamdani

“…The results of the descriptive analysis obtained an average score of critical thinking skills increased in the experimental class and based on the results of the hypothesis test with tcount > ttable (7.10059 > 1.66827),  it can be concluded that there is a significant effect of learning with guided inquiry models on critical thinking skills in the physics subjects. …”
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