Natural language processing-based approach for automatically coding ship sensor data by Yunhui Kim, Kwangphil Park, Byeongwoo Yoo

“…The digital transformation of ship systems requires the coding and management of large amounts of Input/Output (IO) data generated by various pieces of equipment during ship operation. …”
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Diffeomorphism neural operator for various domains and parameters of partial differential equations by Zhiwei Zhao, Changqing Liu, Yingguang Li, Zhibin Chen, Xu Liu

“…The efficiency and effectiveness of DNO are validated in experiments that rapidly provide solutions to various PDEs across different domains and parameters. Our method obtains solutions multiple orders of magnitude faster when adapted to changes in shape and size. …”
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Social capital assessments in higher education: a systematic literature review by Adrian Nat Gentry, Julie P. Martin, Kerrie A. Douglas

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Development of a Time Domain Identification Algorithm with a Spectral Objective Function by Oleg N. Korsun, Moung Htang Om

“…The parameter identification problem is formulated using maximum likelihood estimation method. The models of object and observation are formulated in time domain and the objective function is defined in frequency domain that is able to decouple the aircraft’s response at different frequencies, effectively mitigating the impact of noise and potential non-linearities inherent in time-domain data. …”
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High-Throughput Indirect Monitoring of TORC1 Activation Using the pTOMAN-G Plasmid in Yeast by Melissa Gómez, Guilherme Rocha, Diego Ruiz, Claudio Martínez, Francisco Salinas, Eduardo Kessi-Pérez

“…These yeasts are then transformed with the TOMAN-G plasmid, using two alternative transformation methods. …”
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Longitudinal Comparison of Geographic Atrophy Enlargement Using Manual, Semiautomated, and Deep Learning Approaches by Jacob Bogost, Rachel E. Linderman, PhD, Robert Slater, PhD, Thomas F. Saunders, OD, Caleb Pacheco, Jeong Pak, PhD, Rick Voland, PhD, Barbara Blodi, MD, Amitha Domalpally, MD, PhD

“…The mean GA growth rate (mm2/year) and square root transformation of GA size were compared across methods. …”
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Segmentation-Guided Deep Learning for Glioma Survival Risk Prediction with Multimodal MRI by Jianhong Cheng, Hulin Kuang, Songhan Yang, Hailin Yue, Jin Liu, Jianxin Wang

“…Specifically, the task interrelation is addressed using a hybrid convolutional neural network-Transformer (CNN-Transformer) encoder to represent the shared high-level semantic features by co-training a decoder for glioma segmentation and a Cox model for survival prediction. …”
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The COVID-19 Normalization Process for Turkish Nations in terms of Health Communications: The Case of Türkiye, Azerbaijan, and the Turkish Republic of Northern Cyprus by Simge Ünlü, Lütfiye Yaşar, Erdal Bilici

“…When examining the impact and transformation of Twitter content based on the epidemic, the Republic of Türkiye has the most comprehensive range about the pandemic, followed by Azerbaijan and the Turkish Republic of Northern Cyprus. …”
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Fruit-Enhanced Resistance to Microbial Infection Induced by Selective Laser Excitation by Alicia G. Gonzálvez, Jorge B. Jiménez, Ángel González Ureña

“…Attenuated total reflectance Fourier transformed infrared spectroscopic analyses of the irradiated grapes' skin showed an enhancement of polyphenols' content when the resonant wavelength was employed. …”
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The Influence of Public Expectations on Simulated Emotional Perceptions of AI-Driven Government Chatbots: A Moderated Study by Yuanyuan Guo, Peng Dong, Beichen Lu

“…Age shows significant main and interaction effects, indicating that different age groups perceive the simulated emotional capabilities of chatbots differently. …”
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Innovative paradigms in New Japanese art: a case study of Yokoyama Taikan's selected artworks by Mao Xing, Sarena Abdullah

“…This study offers an interpretive perspective different from traditional art history and aesthetics, focusing on three aspects within the theoretical framework of visual culture studies: the interpretation of visual symbols, the evolution of aesthetic perspectives, and the acceptance of popular art through the case study method. …”
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Influence of Leadership Styles on Outcomes among Private Organisations in Bangladesh by Shafiqul Islam, Md. Jahangir Alam, Mohammad Fakhrul Islam, Sara Amin, Maileenita Penalba

“…It applied structural equation modelling (SEM) as a data analysis method.  Results: The results show that transformational and transactional leadership approaches improve leadership outcomes. …”
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Integration of Islamic Principles and Modern Educational Theories in Islamic Education by Abdul Hadi, Sarbini Anim, Hadi Yasin

“…This research identifies trends and commonalities of concepts related to human development and perfection through different philosophical and religious perspectives. …”
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STRUCTURAL CHANGES IN AGRICULTURE: SIZE, TECHNICAL EFFICIENCY AND SPECIALIZATION OF POLISH FARMS by Kamila Radlińska

“…Technical efficiency was estimated using the DEA method, which made it possible to assess the relative efficiency of Polish farms in different economic size classes. …”
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Design of linear and cyclic peptide binders from protein sequence information by Qiuzhen Li, Efstathios Nikolaos Vlachos, Patrick Bryant

“…Abstract Structure prediction technology has transformed protein design, yet key challenges remain, particularly in designing novel functions. …”
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Study on Vacuum Roasting Pretreatment of Carbonaceous Gold Concentrates Based on Nonoxidation Technology by Xinwei Zhang, Yonghui Song, Ning Yin, Xinzhe Lan, Jianping Jin

“…In this study, flotation gold concentrates containing sulfides and carbonaceous matters were investigated to ascertain the reaction process and the matters’ transformation characteristics in different temperatures by vacuum roasting pretreatment. …”
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Development of High Voltage Electrical Box for CR300AF Fuxing EMUs by Yingyu YANG, Congjian JIANG, Tao LI, Xuejun HUANG

“…In order to protect the high-voltage electrical equipment on the roof of Fuxing EMUs from the influence of external harsh environment and ensure the good working performance of the equipment, the high-voltage electrical box on the roof of EMUs was developed, and the components such as vacuum circuit breaker, high-voltage grounding switch, high-voltage disconnector,lightning arrester and transformer were integrated. According to the use conditions of high-voltage electrical box, the insulation performance analysis was carried out to determine the basic insulation capacity parameters of high-voltage electrical box; based on the design method of gas-solid composite insulation, the insulation top cover and insulation partition were designed to solve the problem of insufficient insulation in the height direction of the box; through the strength simulation calculation of high-voltage electrical box, the stress situation and safety factor of high-voltage electrical box under 7 different working conditions was calculated. …”
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Spectral clustering-based energy-efficient resource allocation algorithm in heterogeneous cellular ultra-dense network by Xue WANG, Jing LIU, Jiani SUN, Jizhen ZHANG, Zhihong QIAN

“…In order to solve problems of high power consumption, spectrum shortage and low energy efficiency in the ultra-intensive 5G mobile communication scenario, a resource allocation algorithm based on the maximum energy efficiency for the two-layer heterogeneous cellular non-orthogonal multiple access network was proposed.The original NP-hard optimization problem on the downlink communication link of ultra-dense scene was divided into two subproblem, such as frequency resource allocation and power allocation, which became a deterministic constraint optimization problem.The frequency resource allocation scheme of different user groups was obtained by using base station clustering based on the improved k-means algorithm and users grouping based on spectral clustering algorithm.The fraction of energy efficiency optimization was transformed into a solvable continuous convex optimization problem and power distribution was realized by Dinkelbach method, and the Lagrange multiplier iterative algorithm, respectively.Jointly optimize system energy efficiency in terms of base station clustering, user grouping, resource block allocation and power allocation, which minimized the inter-cluster interference and intra-cluster interference of the base station efficiently.The simulation results show that the proposed algorithm is better on energy efficiency and computational efficiency compared with existing algorithms.…”
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Energy Hub Management considering Demand Response, Distributed Generation, and Electric Vehicle Charging Station by Mohammad Hasan Nikkhah, Hossein Lotfi, Mahdi Samadi, Mohammad Ebrahim Hajiabadi

“…In this paper, a proposed EH system is optimized in terms of cost using linear programming, considering transformer converters, combined heat and power (CHP), heat exchangers, and energy storage, including electric vehicle charging stations (EVCSs) and heat storage. …”
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An Analysis of WhatsApp Interactions Among Youth: A Case of Language Attrition by Shubhra Shubhra, Devina Krishna

“…Through the course of its research, this study aims to uncover a fascinating phenomenon called ‘Language Attrition’ - a subtle transformation in the way languages are used in this digital space. …”
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