Recent Fuzzy Generalisations of Rough Sets Theory: A Systematic Review and Methodological Critique of the Literature by Abbas Mardani, Mehrbakhsh Nilashi, Jurgita Antucheviciene, Madjid Tavana, Romualdas Bausys, Othman Ibrahim

“…Rough set theory has been used extensively in fields of complexity, cognitive sciences, and artificial intelligence, especially in numerous fields such as expert systems, knowledge discovery, information system, inductive reasoning, intelligent systems, data mining, pattern recognition, decision-making, and machine learning. Rough sets models, which have been recently proposed, are developed applying the different fuzzy generalisations. …”
Get full text

Implicit Messages in Pakistani ESL Course Books: A Corpus-Based Study of Gender Representation by Muhammad Tanveer, Urooj Fatima Alvi

“…The current research work enables authors, educators, and policymakers to write in generic language, create an inclusive learning environment, and add generic lessons to course books, respectively.…”
Get full text

Comparing the effectiveness of education based on positive psychology with education based on cognitive-behavioral method on the resilience of students of gifted schools in Tehran by adel khaleghy samarin, Hasan Ahadi, Ali Asghar Asgharnejad Farid, GholamReza Sarami Foroushani, Mahdiyeh Rahmaniyan

“…Based on the findings, it can be concluded that people can achieve more resilience by learning techniques based on positive psychology and cognitive-behavioral methods, but education based on positive psychology is more successful than cognitive-behavioral methods. have.…”
Get full text

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.…”
Get full text

Traditional funeral and burial rituals and Ebola outbreaks in West Africa: A narrative review of causes and strategy interventions by Chulwoo Park

“…Although the World Health Organization has provided guidelines for the safe burial process after learning of the culture of the afterlife in Ebola-affected areas, little effort has been made to integrate theoretical interventions and models for changing West Africans’ funeral behavior. …”

Adaptasi guru pendidikan agama islam terhadap kurikulum merdeka: studi kasus di sekolah menengah atas by Putri Diani, Muhammad Rapono

“…Penelitian menemukan bahwa implementasi Kurikulum Merdeka di SMA PAB 4 Sampali telah menunjukkan kemajuan yang signifikan, dengan penggunaan metode pembelajaran inovatif seperti project-based learning dan teknologi digital. Namun, terdapat hambatan utama seperti akses internet yang tidak stabil, keterbatasan keterampilan teknologi di kalangan guru, dan kesulitan dalam menangani perbedaan kemampuan siswa. …”
Get full text

Socioeconomic status moderate the relationship between mental health literacy, social participation, and active aging among Chinese older adults: evidence from a moderated network... by Yalian Huang, Aibao Zhou, Ping Tang, Xufeng Ma

“…Notably, the most significant interaction terms were found between attitudes toward mental illness and engagement in active learning. Conclusions These results contribute novel insights into the bidirectional relationships among mental health literacy, social participation, and active aging, as well as the role of SES in moderating these relationships. …”
Get full text

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). …”
Get full text

Sorting Data via a Look-Up-Table Neural Network and Self-Regulating Index by Ying Zhao, Dongli Hu, Dongxia Huang, You Liu, Zitong Yang, Lei Mao, Chao Liu, Fangfang Zhou

“…The so-called learned sorting, which was first proposed by Google, achieves data sorting by predicting the placement positions of unsorted data elements in a sorted sequence based on machine learning models. …”
Get full text

An efficient and lightweight detection method for stranded elastic needle defects in complex industrial environments using VEE-YOLO by Qiaoqiao Xiong, Qipeng Chen, Saihong Tang, Yiting Li

“…Abstract Deep learning has achieved significant success in the field of defect detection; however, challenges remain in detecting small-sized, densely packed parts under complex working conditions, including occlusion and unstable lighting conditions. …”
Get full text

The Impact of Traffic-Induced Bridge Vibration on Rapid Repairing High-Performance Concrete for Bridge Deck Pavement Repairs by Wei Wang, Shuo Liu, Qizhi Wang, Wei Yuan, Mingzhang Chen, Xiaotian Hao, Shuai Ma, Xuanyu Liang

“…Thus, the research achievements mentioned above can contribute to learning the laws by which bridge vibration affects the properties of concrete and provide technical support for the design and construction of the bridge deck pavement maintenance.…”
Get full text

Multimedia for Fifth Year Medicine Professors and Students. Public Health Subject by Juan Rafael Zerquera Rodriguez, Sara Hernández Malpica, Hilda María Delgado Acosta, Margarita Romeu Escobar, María Lina Valdés Gómez, Pedro Hernández Sánchez, Jorge Cañella Granda, Juan Andrés Alemañy Co

“…<strong>Background:</strong> taking into consideration the potentialities of the use of information technologies, it is necessary for each teacher to develop methods of work where the use of the computer is a strong ally that permit improving the aids and teaching methods to win the quality of learning. <br /><strong>Objective:</strong> elaborating a multimedia to support the fifth year Medicine teacher and students in Public Health subject. …”
Get full text

Do School Exclusions and Attainment Outcomes Disproportionately Impact Minority Ethnic Pupils? Analysis of Pupil Characteristics, Segregation, and Outcomes in England by Stephen Gorard, Nadia Siddiqui, Beng Huat See, Yiyang Gao

“…These findings have implications for admission policies that can reduce school segregation and interventions that can support disadvantaged pupils’ wider learning experiences.…”
Get full text

Integration of Artificial Intelligence in Art Preservation and Exhibition Spaces by Pin-Chia Huang, I-Cheng Li, Ching-Yi Wang, Cheng-Hsiung Shih, Masimukku Srinivaas, Wan-Ting Yang, Chin-Fang Kao, Te-Jen Su

“…In recent years, AI technology has made significant advancements in image recognition, machine learning, and data analysis, which provide new opportunities for art management. …”
Get full text

Self‐Driving Lab for Solid‐Phase Extraction Process Optimization and Application to Nucleic Acid Purification by Sebastian Putz, Jonathan Döttling, Tim Ballweg, Andre Tschöpe, Vitaly Biniyaminov, Matthias Franzreb

“…Through the integration of robotics, machine learning, and data‐driven experimentation, the SDL demonstrates a highly accelerated process optimization with minimal human intervention. …”
Get full text

Validation of mixed reality in planning orbital reconstruction with patient-specific implants by K. Dubron, E. Shaheen, R. Jacobs, C. Politis, R. Willaert

“…Secondary outcomes included investigating time differences between the two approaches and evaluating the potential effects on the learning curve. Participants were asked to complete questionnaires assessing various aspects, such as visualization, interaction, segmentation, treatment planning, and evaluation. …”
Get full text

Binary plant rhizome growth-based optimization algorithm: an efficient high-dimensional feature selection approach by Jin Zhang, Fu Yan, Jianqiang Yang

“…Abstract Feature selection is a pivotal research area within machine learning, tasked with pinpointing the essential subset of features from a broad array that critically influences a model’s predictive capabilities. …”
Get full text

Advancing Behavioral HIV Prevention: Adapting an Evidence-Based Intervention for People Living with HIV and Alcohol Use Disorders by M. L. Armstrong, A. M. LaPlante, F. L. Altice, M. Copenhaver, P. E. Molina

“…Overall themes that emerged from the FGs included the following: (1) negative mood states contribute to heavy alcohol consumption in PLWHA; (2) high levels of psychosocial stress, paired with few adaptive coping strategies, perpetuate the use of harmful alcohol consumption in PLWHA; (3) local cultural norms are related to the permissiveness and pervasiveness of drinking and contribute to heavy alcohol use; (4) healthcare providers unanimously stated that outpatient options for AUD intervention are scarce, (5) misperceptions about the relationships between alcohol and HIV are common; (6) PLWHA are interested in learning about alcohol’s impact on ART and HIV disease progression. …”
Get full text

The impact of COVID-19 and the confinement on the secondary level students of the Eastern region of Morocco by Hind Moumni, Fatima Elghazouani

“…Several factors were significantly associated with anxiety and depressive symptoms, including being a girl (P = 0.000), being a high-school student (P = 0.011), economic struggles during the pandemic (P = 0.003), doubting the necessity of home confinement (P = 0.000), spending over 3 hours a day on social networks and video games (P = 0.000), dropping out of remote learning (P = 0.000), having a psychiatric history (P = 0.000), having chronic illnesses in the family (P = 0.002), and changes in sleep habits (P = 0.000). …”
Get full text

Robust dual-tone multi-frequency tone detection using k-nearest neighbour classifier for a noisy environment by Arunit Maity, P. Prakasam, Sarthak Bhargava

“…Design/methodology/approach – A novel machine learning-based approach to detect DTMF tones affected by noise, frequency and time variations by employing the k-nearest neighbour (KNN) algorithm is proposed. …”
Get full text