Research on YOLOv5 Oracle Recognition Algorithm Based on Multi-Module Fusion by Xinhang Zhang, Zhenhua Ma, Yaru Zhang, Huiying Ru

“…However, traditional methods and some deep learning models have limited ability to capture the complex forms and fine details of oracle bone script, which makes it difficult to fully detect subtle differences between characters. …”
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Usage of Optimized Least Square SVR to Volume Expansion Estimation of Cement Paste Including Fly Ash and Mgo Expansive Additive by Mazharul Islam, Sadia Afrin

“…To construct and assess machine learning-based algorithms to assess the volume expansion (𝑉𝑒) of cement paste, which consists of 𝐹𝐴 and 𝑀𝐸𝐴, 170 experimental findings from published studies are employed. …”
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Effects of Operation Prediction Sharing for Collaborative Avatar Robot by Hyuga Suzuki, Hikari Yukawa, Kouta Minamizawa, Yoshihiro Tanaka

“…The robotic arm was controlled by two operators, while the system predicts operations 0.3 seconds ahead using machine learning based on one operator’s actions. These predictions were visually presented to the other operator. …”
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Longitudinal Cross-Lagged Analysis Between Depressive Symptoms, Social Withdrawal, Self-Esteem, and School Adaptation in Multicultural Adolescents by Chung Choe, Seunghee Yu

“…Moreover, financial support for multicultural adolescents in their learning can improve school maladaptation and reduce social withdrawal.…”
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Impact of Aluminium Chloride (AlCl₃) on Brain Function: A Review of Neurotoxic Mechanisms and Implications for Alzheimer's Disease by Amtul Rahman, Zeenath Banu

“…Behavioural changes and impaired cognitive abilities observed in animal and cellular models suggest that AlCl3 disrupts neural pathways critical to learning and memory. The evidence indicates a significant association between AlCl3 exposure and neurodegenerative damage, especially in the context of AD. …”
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Knowing how, arguing why: nurse anaesthetists’ experiences of nursing when caring for the surgical patient by Aina L. Bjerkeli Lekens, Sigrunn Drageset, Britt Sætre Hansen

“…The category Aspiring towards excellence involved expectations towards nurse anaesthetists as professionals who display professional courage and undertake professional development through continuous learning. Conclusion Nurse anaesthetists experience themselves as being highly qualified to address the needs of surgical patients. …”
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Efficient Moving Object Segmentation in LiDAR Point Clouds Using Minimal Number of Sweeps by Zoltan Rozsa, Akos Madaras, Tamas Sziranyi

“…The model learns to associate features from the two modalities, allowing it to predict dynamic objects even in the absence of a map and the camera modality. …”
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Patient satisfaction with Indonesian sharia hospital services: Halal healthcare tool and implications for loyalty-WoM by Muhammad Alfarizi, Rafialdo Arifian

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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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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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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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