Patient satisfaction with Indonesian sharia hospital services: Halal healthcare tool and implications for loyalty-WoM by Muhammad Alfarizi, Rafialdo Arifian

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Challenges And Strength: A Scoping Review On Online Assessment Practices In Healthcare Professions by Hareem Fatima, Mahwish Niaz, Aisha Rafi, Hassan Salim, Ayesha Yousaf, Muhammad Faraz Sipra

“…The adaptation of diverse modalities is poised to enhance the popularity and effectiveness of online assessment in the future years. Keywords: E-learning, Digital evaluation, Online assessment, Synchronous, Asynchronous. …”
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Tourist Circuits Map Mechanism for Developing Mountain Tourism: An Applied Study of the Sefrou Province by Chami Jaouad, Elbachiri Zouhir, En-Nejymy Mohamed, Achkir Hadou, El Khalki Yahya, El Azzioui Said

“…These trails allow visitors to enjoy stunning natural landscapes and discover rock formations, caves, and valleys, in addition to learning about the geological history of the region. …”
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UAlpha40: A comprehensive dataset of Urdu alphabet for Pakistan sign languageMendeley Data by Sameena Javaid, Shahood Sajid, Yusra Khan Baloch

“…This newly developed dataset can be utilized to train vision-based deep learning models, which in turn can aid in the development of sign language translators and finger-spelling systems for USL.…”
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Mental toughness training circle (MTTC): what is its impact on the mental toughness, anxiety, and academic performance of college-level athletes and non-athletes? by Miftah Fariz Prima Putra, Sutoro Sutoro, Agus Zainuri, Gerdha Kristina Ivony Numberi, Dewi Nurhidayah, Akhmad Kadir

“…Results: The results of the study show that providing MTTC metal training has a significant effect on mental toughness (χ2 = 12.74; p < .001), anxiety (χ2 = 19.03; p < .001), and learning achievement (χ2 = 5.38; p < .05). Apart from that, the implementation of MTTC was also responded positively by respondents (χ2 = 19.86; p < .001). …”
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Research on algorithm for improving imaging accuracy of CFRP low speed impact damage by WU Xiangnan, CHENG Xiaojin, LI Qixin, SHANG Jianhua

“…To address the issue of low imaging precision in C-scan detection of internal damage caused by low-velocity impact in CFRP，gradient operators were employed to process the original images，and transfer learning methodology was utilized to conduct damage classification training on ResNet18 and ResNet50 architectures. …”
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Investigation the Services Provided to Disabled in Çanakkale by Orkun Dalyan, Mehmet Pişkin, Leyla Yeşilçinar

“…Of the participants, 23 (38.3%) were physical, 8 (13.4%) were mental, 7 (11.7%) were auditory, 2 (3.3%) had speech disorders, 2 (3.3%) had learning disabilities, 2 ' of them (3.3%) had visual impairment and 16 (26.7%) had disability in the other category.The data obtained focused on the safe passage zones for the disabled, sports field-sports guidance and the insufficiency of the disabled staff in public institutions. …”
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Text leads, images and videos follow: the impact of processing paths and input modalities on metaphorical competence in Chinese foreign language learners by Siyun Li, Yang Zhao

“…MCC increased with time, whereas MPC decreased.DiscussionThis research confirms the applicability of Depth-of-processing Theory, Cognitive Load Theory, and spaced learning strategies in enhancing metaphorical competence through different processing paths and input modalities, thereby expanding their relevance in the domain of CFL acquisition.…”
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Mapping the Legal and Philosophical Aspects of Human Rights Education in Religious Studies Towards a Curriculum Restructuring by Dean Collin Langeveldt, Doniwen Pietersen

“…The study recommends developing an inclusive curriculum, engaging pedagogical strategies, comprehensive teacher training, and active learning to promote a balanced understanding of religious diversity and human rights. …”
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Innovative laboratory techniques shaping cancer diagnosis and treatment in developing countries by Azeez Okikiola Lawal, Tolutope Joseph Ogunniyi, Oriire Idunnuoluwa Oludele, Oluwaloseyi Ayomipo Olorunfemi, Olalekan John Okesanya, Jerico Bautista Ogaya, Emery Manirambona, Mohamed Mustaf Ahmed, Don Eliseo Lucero-Prisno

“…The integration of artificial intelligence, particularly deep learning and convolutional neural networks, has enhanced the diagnostic accuracy and data analysis capabilities. …”
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Devaluing memories of reward: a case for dopamine by Benjamin R. Fry, Nicolette Russell, Victoria Fex, Bing Mo, Nathan Pence, Joseph A. Beatty, Fredric P. Manfredsson, Brandon A. Toth, Christian R. Burgess, Samuel Gershman, Alexander W. Johnson

“…Abstract Midbrain dopamine cells encode differences in predictive and expected value to support learning through reward prediction error. Recent findings have questioned whether reward prediction error can fully account for dopamine function and suggest a more complex role for dopamine in encoding detailed features of the reward environment. …”
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Differencesin Variations of Qira'at al-Sab' Tariq al-Shatibiyyah in Usul al-Qira'at based on verses 1-31 in Surah al-Baqarah by M. Jismani Yusoff, Nor Hafizi Yusof, Ismail Abd Halim

“…Learning Qira'at al-Sab' Tariq al-Shatibiyyah is the foundation of the study of the science of Qira'at. …”
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Optimized Prediction of Weapon Effectiveness in BVR Air Combat Scenarios Using Enhanced Regression Models by Andre R. Kuroswiski, Annie S. Wu, Angelo Passaro

“…In our evaluations, Polynomial Regression (PR) with higher interaction degrees outperforms more complex machine learning models in prediction accuracy and computational efficiency. …”
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Power flow analysis and volt/var control strategy of the active distribution network based on data-driven method by Chen Hui, Zhu Weiping, Liu Liguo, Shi Mingming, Xie Wenqiang, Zhang Chenyu

“…Firstly, the CatBoost machine learning model for the distribution network power flow analysis is proposed, and the nonlinear mapping relationship between the distribution network state and power flow results is described from the data-driven perspective. …”
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An Enhanced LSTM Approach for Detecting IoT-Based DDoS Attacks Using Honeypot Data by Arjun Kumar Bose Arnob, M. F. Mridha, Mejdl Safran, Md Amiruzzaman, Md. Rajibul Islam

“…The contribution of this paper will be an addition to the deep learning techniques applied for the solution of intrusion detection systems (IDS), which will also allow the building and implementation of more efficient security mechanisms in IoT environments.…”
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Efektifitas Edukasi Tentang Jajanan Sehat Terhadap Peningkatan Pengetahuan dan Sikap Siswa Overweight by Firnaliza Rizona, Karolin Adhisty, Fuji Rahmawati, Tri Candraca Firman

“…For school in order to inform about healthy snack on learning process with discussion which involve being active of children or by another media such as poster or leaflet. …”
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Robotic constructor as a means of teaching C++ programming to high school students by Anton V. Eliseev

“…It also contributes to the development of students’ skills of mutual interaction and independent decision-making, allows to reveal their creative potential in design and design-research activities, and increases their interest in learning computer science, which is especially important in today’s technologically oriented society. …”
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“Feedback is communication between human beings”: understanding adolescents' conception of written qualitative feedback by Sining Tao, Wenjuan Qin

“…The study adds to a growing literature on adolescent writing development from the lens of interactive teaching and learning.…”
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Seurat function argument values in scRNA-seq data analysis: potential pitfalls and refinements for biological interpretation by Mikhail Arbatsky, Ekaterina Vasilyeva, Veronika Sysoeva, Ekaterina Semina, Ekaterina Semina, Valeri Saveliev, Kseniya Rubina

“…Here we narrow our focus down to a small set of mathematical methods applied upon standard processing of scRNA-seq data: preprocessing, dimensionality reduction, integration, and clustering (using machine learning methods for clustering). Normalization and scaling are standard manipulations for the pre-processing with LogNormalize (natural-log transformation), CLR (centered log ratio transformation), and RC (relative counts) being employed as methods for data transformation. …”
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On the implications of artificial intelligence methods for feature engineering in reliability sector with computer knowledge graph by Heling Jiang, Yongping Xia, Changjie Yu, Zhao Qu, Huaiyong Li

“…To improve operational efficiency and lower long-term maintenance costs, policy ideas include standardizing data collection techniques, investing in real-time monitoring systems, and implementing machine learning-based predictive maintenance across industries.…”
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