Random Forest–Based Coal Mine Roof Displacement Prediction and Application by Hongxia Li, Rong Wu, Jianan Gao

“…Therefore, this study puts forward the machine learning method to study the advance prediction of coal roadway roof displacement. …”
Get full text

LazyAct: Lazy actor with dynamic state skip based on constrained MDP. by Hongjie Zhang, Zhenyu Chen, Hourui Deng, Chaosheng Feng

“…Deep reinforcement learning has achieved significant success in complex decision-making tasks. …”
Get full text

Comparison of Learner Self-Evaluations to Preceptor Evaluations for Scored Activities on Introductory and Advanced Pharmacy Practice Experiences by Jennifer Wood, Riley Bowers, Carrie Baker

“…The primary objective of this study was to compare learner self-evaluations to preceptor and pharmacy resident evaluations for scored learning activities completed on experiential rotations. …”
Get full text

Advancements in electron paramagnetic resonance (EPR) spectroscopy: A comprehensive tool for pharmaceutical research by Bešić Erim, Rajić Zrinka, Šakić Davor

“…Despite its extensive utility in these areas, EPR spectroscopy’s application within pharmaceutical science has historically been constrained, primarily due to factors such as high equipment costs, a steep learning curve, complex spectral deconvolution and analysis, and a traditional lack of emphasis on single-electron chemistry in pharmaceutical research. …”
Get full text

Confrontation Naming and Reading Abilities at Primary School: A Longitudinal Study by Chiara Luoni, Umberto Balottin, Laura Rosana, Enrico Savelli, Silvia Salini, Cristiano Termine

“…Confrontation naming tasks are useful in the assessment of children with learning and language disorders. …”
Get full text

Development of Gus Dur's perspective religious moderation education module at Ma'had Al-Jami'ah UIN Maulana Malik Ibrahim Malang by Shuhadak Shuhadak, Nurul Hikmah, Makhi Ulil Kirom, M Rofik Fitrotulloh

“…The purpose of this study is to increase the availability of learning media for insight into moderate values in religion while at the same time helping educators in ma'had, namely the board of caregivers, murrobi/ah and musyrif/ah in providing students with an understanding of moderate Islamic values in the context of religion and Indonesia. …”
Get full text

Status and Prospects of Robotic Gastrectomy for Gastric Cancer: Our Experience and a Review of the Literature by Sejin Lee, Taeil Son, Hyoung-Il Kim, Woo Jin Hyung

“…There are several advantages to using robotic surgery for gastric cancer, such as reduced estimated blood loss during the operation, a shorter learning curve, and a larger number of examined lymph nodes than conventional laparoscopic gastrectomy. …”
Get full text

Acquisition and maintenance of disgust reactions in an OCD analogue sample: Efficiency of extinction strategies through a counter-conditioning procedure. by Caroline Novara, Cindy Lebrun, Alexandra Macgregor, Bruno Vivet, Pierre Thérouanne, Delphine Capdevielle, Stephane Raffard

“…<h4>Methods</h4>The two groups completed a differential associative learning task in which neutral images were followed by disgusting images (conditioned stimulus; CS+), or not (CS-). …”
Get full text

Dominant Discourses About What It Means to Be “Good” at Mathematics: How High-Achieving Young Women Negotiate Tensions Within Their Evolving STEM Identities by Terrie Galanti, Nancy Holincheck

Get full text

Neurogranin in Alzheimer's Disease: Roles in synaptic function, pathology, and potential as a diagnostic biomarker by Rajkumar Bavaharini, Chaitanya Sree Somala, Konda Mani Saravanan, Thirunavukarasou Anand

“…Postsynaptic protein neurogranin (Ng), which plays a role in synaptic plasticity, learning, and memory, has been identified as the candidate biomarker of Alzheimer's disease (AD). …”
Get full text

Inteligencia artificial y derechos humanos by Juan Esteban Yanguas Ramón, Isabella Narváez Peña

“…El artículo explora, desde la teoría, diversos conceptos, pasando por el machine learning y la analítica de datos, así como los derechos humanos desde definiciones informales hasta formales, analizando sus elementos y los sistemas de protección de estos derechos. …”
Get full text

Simulating Complex Urban Behaviours With AI: Incorporating Improved Intelligent Agents in Urban Simulation Models by Solon Solomou, Ulysses Sengupta

“…This article explores the use of cognitive agent architecture as an alternative approach to endow agents with memory representation and experiential learning, thus enhancing their intelligence. The study evaluates the model’s suitability, strengths, and weaknesses, by comparing it against the results of a control model featuring commonly used logic-based architecture. …”
Get full text

Modelling the Embedded Control System Using iUML-B Pattern State Machine by Han Peng, Chenglie Du, Lei Rao, Zhouzhou Liu

“…However, the instantiation of the Event-B design pattern requires the manual writing of a large number of model codes, which brings a great deal of learning cost and coding burden to the engineering staff. …”
Get full text

Anticipating Stock Market of the Renowned Companies: A Knowledge Graph Approach by Yang Liu, Qingguo Zeng, Joaquín Ordieres Meré, Huanrui Yang

“…In contrast to traditional methods of stock prediction, our approach considers the effects of event tuple characteristics on stocks on the basis of knowledge graph and deep learning. The proposed model and other feature selection models were used to perform feature extraction on the websites of Thomson Reuters and Cable News Network. …”
Get full text

Alzheimer’s disease diagnosis by 3D-SEConvNeXt by Zhongyi Hu, Yuhang Wang, Lei Xiao

“…Therefore, our work aims to develop a new deep learning framework to tackle this challenge. Our proposed model integrates ConvNeXt with three-dimensional (3D) convolution and incorporates a 3D Squeeze-and-Excitation (3D-SE) attention mechanism to enhance early classification of AD. …”
Get full text

Belt conveyor idler fault detection algorithm based on improved YOLOv5 by Cen Pan, Qing Tao, Hao Pei, Biao Wang, Wei Liu

“…Therefore, this paper proposes a method based on deep learning for real-time detection of conveyor idler faults. …”
Get full text

ResNet15: Weather Recognition on Traffic Road with Deep Convolutional Neural Network by Jingming Xia, Dawei Xuan, Ling Tan, Luping Xing

“…With the rapid development of deep learning, deep convolutional neural networks (CNN) are used to recognize weather conditions on traffic road. …”
Get full text

Upaya Meningkatkan Kecerdasan Visual Spasial Anak Usia Dini melalui Bermain Tebak Gambar by Nadilla Barus, Risma Chintya, Khalida Ziah Sukmana, Masganti Sit

“…Based on teacher research in a learning process lacking the method of playing guessing pictures in improving the development of children's spatial-visual intelligence, a class action research method (PTK) was used in the research. …”
Get full text

Catch-up immunisation for children in earthquake-affected areas of West Pasaman, Indonesia by Syawqi Rahmat, Fitry Yani Finny, Asrawati, Mariko Rinang

“…Children are a particularly vulnerable population when exposed to natural disasters and experience increased problems related to physical health, mental health and post-disaster learning. The conditions of displacement during a disaster will cause an increased risk of morbidity to mortality of infectious diseases and even potential outbreaks. …”
Get full text

The Al Umanaa Foundation's Literacy Strategies at SMP and SMA Al Umanaa Boarding School, Sukabumi by Supriatnoko, Hastuti Redyanita, Ida Bagus Putu Suamba

“…The study reveals that the Al Umanaa Foundation effectively adapts the literacy learning syllabus to the national curriculum, creates a conducive physical environment, and involves the community in literacy activities. …”
Get full text