A deep transfer learning based convolution neural network framework for air temperature classification using human clothing images by Maqsood Ahmed, Xiang Zhang, Yonglin Shen, Nafees Ali, Aymen Flah, Mohammad Kanan, Mohammad Alsharef, Sherif S. M. Ghoneim

“…However, previous studies have addressed few types of weather phenomena recognition from images with insufficient accuracy. In this paper, we propose a transfer learning CNN framework for classifying air temperature levels from human clothing images. …”
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Oriented R-CNN With Disentangled Representations for Product Packaging Detection by Jiangyi Pan, Jianjun Yang, Yinhao Liu, Yijie Lv

“…Many previous works focus on rotating object detection and improve it, but this paper mainly combines the prior knowledge in remote sensing and industrial scenes, and the research is more general. …”
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A probabilistic model-based approach to assess and minimize scaling in geothermal plants by Pejman Shoeibi Omrani, Jonah Poort, Eduardo G. D. Barros, Hidde de Zwart, Cintia Gonçalves Machado, Laura Wasch, Aris Twerda, Huub H. M. Rijnaarts, Shahab Shariat Torbaghan

“…These uncertainties can be further increased for fluid at extreme conditions especially high salinity and temperature. This paper describes a comprehensive method to determine operational control strategies to minimize the scaling considering brine composition uncertainties. …”
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The role of autonomous learning in the study of grammar by economics and foreign language students (pedagogical profile with two areas of training) by Nina S. Shvaikina, Alexander A. Popel, Viktoria M. Volova

“…In pedagogical science, there is a search for effective means to improve grammatical skills and abilities. In this paper, the authors present autonomous learning as an effective tool in the study of grammar, which implies that students should have the opportunity to learn the rules themselves and consolidate them in practice. …”
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A Real-Time Road Scene Semantic Segmentation Model Based on Spatial Context Learning by Xiaomei Xiao, Jialiang Tang, Xiaoyan Lu, Zhengyong Feng, Yi Li

“…To address the issues of high computational complexity and insufficient aggregation of global and local information in existing image segmentation methods, this paper proposes an efficient segmentation model based on Spatial Context Learning, named SCLSeg. …”
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Vaccine-induced reduction of COVID-19 clusters in school settings in Japan during the epidemic wave caused by B.1.1.529 (Omicron) BA.2, 2022 by Yuta Okada, Hiroshi Nishiura

“…Given this background and considering that vaccine effectiveness against school transmission has not been intensively studied, this paper proposes a mathematical model that links the occurrence of clustering to the case count among populations aged 0–19, 20–59, and 60+ years of age. …”
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Pengembangan Evaluasi Berbasis Penalaran dalam Pembelajaran Bahasa di Sekolah Menengah by Dadang S. Anshori

“…<p><em>This paper aims to develop a reason-based evaluation model that can be used to evaluate language learning in schools. …”
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INTERACTION IN AN EDUCATIONAL ENVIRONMENT WITH VIRTUAL AND AUGMENTED REALITY by Svitlana H. Lytvynova, Natalia V. Soroko

“…The integration of virtual reality (VR) and augmented reality (AR) in educational environment has opened up new possibilities for engaging and immersive learning experiences. This paper aims to explore the features of participants' interaction within an educational context using VR and AR technologies. …”
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Possibilities and limitations of applying ChatGPT in the educational process by Namesztovszk Zsolt B., Glušac Dragana R., Arsović Branka B., Kovacs Elvira I.

“…One such technology is ChatGPT, a powerful large language model developed by OpenAI. In this paper, the authors consider the possibilities and limitations of applying artificial intelligence, primarily ChatGPT, in the educational process. …”
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The Role of Social Accelerators in Promoting Authentic Leadership in Social Entrepreneurs by Ignacio Alvarez de Mon, Margarita Núñez-Canal, María de las Mercedes de Obesso

“…This paper analyzes the role of social accelerators in fostering authentic leadership profiles among social entrepreneurs who are managing high-impact social enterprises associated with such accelerators. …”
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Deep Learning in Nuclear Industry: A Survey by Chenwei Tang, Caiyang Yu, Yi Gao, Jianming Chen, Jiaming Yang, Jiuling Lang, Chuan Liu, Ling Zhong, Zhenan He, Jiancheng Lv

“…Meanwhile, deep learning, as an important technology of artificial intelligence, has made amazing progress in theoretical and applied research in the nuclear industry, which vigorously promotes the development of informatization, digitization, and intelligence of the nuclear industry. In this paper, we first simply comb and analyze the intelligent demand scenarios in the whole industrial chain of the nuclear industry. …”
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A 3D Dual Encoder Mirror Difference ResU-Net for Multimodal Brain Tumor Segmentation by Qiwei Xing, Zhihua Li, Yongxia Jing, Xiaolin Chen

“…Although deep learning has significantly advanced the field of accurate and efficient automatic brain tumor segmentation, several challenges still persist. In this paper, we introduce a novel architecture called the Dual Encoder Mirror Difference Residual U-Net (DEMD-ResUNet). …”
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Handling Low-Density LiDAR Data: Calculating the Heights of Civil Constructions and the Accuracy Expected by Rubén Martínez Marín, Elena Lianes Revilla, Juan Carlos Ojeda Manrique, Miguel Marchamalo Sacristán

“…Those results have been taken as correct values and the comparison between those values and the elevations obtained, assigning values to the control points by the interpolation of the LiDAR dataset, has been carried out. This paper shows the results obtained using low-density airborne LiDAR data and the accuracy obtained. …”
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Micro to Nanolevel Stabilization of Expansive Clay Using Agro-Wastes by Mehmood Munawar, Ammad H. Khan, Zia U. Rehman, Abdur Rahim, Mubashir Aziz, Sultan Almuaythir, Bothaina S. I. A. El Kheir, Farhan Haider

“…Geomaterials comprising high-plastic soft expansive clay pose excessive settlement during cyclic traffic/railway/airfield loading resulting in uneven geometry of overlying layers. This paper demonstrates multiobjective optimized improvement of expansive clay (C) geotechnical characteristics by cost-effective agro-wastes additives at microlevel (by 3% to 12% rice husk ash, i.e., RHA), nanolevel (by 0.6% to 1.5% rice husk derived green nano-SiO2, i.e., NS), and synergistic micro to nanolevel (NS-RHA). …”
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Memahami Perjalanan "Kampung Cyber" Melalui Lensa Actor Network Theory by Alfandya Alfandya, Fathul Wahid

“…One of the main challenges in ICT4D project is gaining the trust of the community and ensuring its sustainability. This paper presents stories from ICT4D project implementation through the lens of Actor Network Theory (ANT). …”
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A Method for Rapidly Determining the Seismic Performance of Buildings Based on Remote-Sensing Imagery and Its Application by Sihan Yu, Xiaofeng Xie, Peng Du, Xiaoqing Wang, Shun Yang, Chao Liu

“…These results were used in conjunction with drone aerial images, Baidu street view images, and paper maps to determine the seismic performance (SP) of the buildings in the study area. …”
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Real-Time Diagnostic Technique for AI-Enabled System by Hiroaki Itsuji, Takumi Uezono, Tadanobu Toba, Subrata Kumar Kundu

“…However, there is no effective technique available that can diagnose HW and SW of AI-enabled systems in real-time during operation. Therefore, this paper proposes an intelligent real-time diagnostic technique for detecting HW and SW anomalies of AI-enabled systems and continuously improving the SW quality during operation. …”
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Artefacts in Cone Beam CT Mimicking an Extrapalatal Canal of Root-Filled Maxillary Molar by Carla Cristina Camilo, Manoel Brito-Júnior, André Luis Faria-e-Silva, Alex Carvalho Quintino, Adrianne Freire de Paula, Antônio Miranda Cruz-Filho, Manoel Damião Sousa-Neto

“…Despite the advantages of cone-beam computed tomography (CBCT), the images provided by this diagnostic tool can produce artifacts and compromise accurate diagnostic assessment. This paper describes an endodontic treatment of a maxillary molar where CBCT images suggested the presence of a nonexistent third root canal in the palatal root. …”
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Optimization of medium composition and study of growth stages of <i>Mycoplasma bovis</i> “Kaluga 2020” isolate by M. Abed Alhussen, A. A. Nesterov, A. V. Sprygin, I. N. Shumilova, M. S. Bryantseva, O. P. Byadovskaya

“…Mycoplasma bovis is considered one of bovine mycoplasmosis pathogens responsible for respiratory diseases, mastitis, arthritis and keratoconjunctivitis. The paper presents results of the study on optimizing the component composition of the culture medium for Mycoplasma bovis “Kaluga 2020” isolate, as well as the study of this pathogen’s growth stages. …”
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Advances in the Research on Brown Carbon Aerosols: Its Concentrations, Radiative Forcing, and Effects on Climate by Shuai Li, Hua Zhang, Zhili Wang, Yonghang Chen

“…Abstract Brown carbon (BrC) are important light-absorbing carbonaceous aerosols in the atmosphere, and it is of great significance to study the climate effects of BrC for regional or global climate change. This paper reviews recent advances in research on the radiative forcing of BrC, its effects on temperature and precipitation, and snow/ice albedo. …”
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