Impacts of clinical research units on clinical research — a systematic review of empirical studies by Fan Wang, Xu Wang, Enmei Liu, Fujian Song, Yaolong Chen

“…While previous studies suggest that clinical research units (CRUs) provide critical support and expertise for complex clinical research, their necessity for ensuring high-quality clinical research remains uncertain. …”
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Infrastructure support for software import substitution by V. K. Grigoryev, A. A. Biryukova, M. A. Ovchinnikov

“…The purpose of the research is to improve the efficiency of software import substitution processes. …”
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AIpollen: An Analytic Website for Pollen Identification Through Convolutional Neural Networks by Xingchen Yu, Jiawen Zhao, Zhenxiu Xu, Junrong Wei, Qi Wang, Feng Shen, Xiaozeng Yang, Zhonglong Guo

“…With the rapid development of artificial intelligence, deep learning has been widely applied to complex tasks such as computer vision and natural language processing, demonstrating its outstanding performance. …”
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Insights into the effects of biomass feedstock and pyrolysis conditions on the energy storage capacity and durability of standard biochar-based phase-change composites by Dimberu G. Atinafu, Ji Yong Choi, Jihee Nam, Yujin Kang, Sumin Kim

“…Abstract Material selection and production conditions are imperative for determining the functional performances of composite materials. …”
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Continuous Gesture Sequences Recognition Based on Few-Shot Learning by Zhe Liu, Cao Pan, Hongyuan Wang

“…And it can improve human-computer interaction efficiency in operations with proper gesture recognition solutions. …”
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THEORETICAL AND PRACTICAL VIEW OF FINANCIAL REGULATION OF INNOVATIVE ACTIVITIES IN THE CONDITIONS OF WAR IN UKRAINE by Vitalii V. Zіanko, Tetiana D. Nechyporenko

“…The implementation of these measures will improve the efficiency of budgetary spending, optimize the regulatory environment, and intensify technology transfer. …”
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Toward Trustworthy Machine Learning for Daily Sediment Modeling in the Riverine Systems: An Integrated Framework With Enhanced Uncertainty Quantification and Interpretability by Z. J. Yue, N. N. Wang, B. D. Xu, X. Huang, D. M. Yang, H. B. Xiao, Z. H. Shi

“…To achieve trustworthy ML for riverine sediment timeseries predictions, this study proposes an integrated ML framework, enhancing key steps: feature selection, UQ, and interpretation. Lagged hydro‐environmental variables are incorporated via rigorous feature selection. …”
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Enhancing education quality with hybrid clustering and evolutionary neural networks in a multi phase framework by Saleem Malik, Chandrakanta Mahanty, Jnanaranjan Mohanty, Krunal Vaghela, T. Narmadha, R. Sivaranjani, Javed Khan Bhutto, Saiful Islam, Anwar Khan, Amanuel Zewdie

“…This algorithm’s strong feature selection and clustering help target educational interventions by revealing student learning behaviors. …”
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Adaptive malware identification via integrated SimCLR and GRU networks by Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Walid Said Atwa, Abdulaleem Ali Almazroi, Nasir Ayub, N. Z. Jhanjhi

“…Abstract Malware has become a big issue for digital infrastructure with the growing complexity and frequency of intrusions; it usually avoids conventional detection systems via obfuscation and dynamic behaviour patterns. …”
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Evaluating accountability, transparency, and bias in AI-assisted healthcare decision- making: a qualitative study of healthcare professionals’ perspectives in the UK by Saoudi CE Nouis, Victoria Uren, Srushti Jariwala

“…Results Participants reported notable gains in diagnostic efficiency and resource allocation, underscoring AI’s potential to reduce turnaround times for routine tests and enhance detection of abnormalities. …”
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An In-Depth Study of Personalized Anesthesia Management Models in Gastrointestinal Endoscopy Based on Multimodal Deep Learning by Hanqi Shi, Hongyu Wang, Xibing Ding, Zheng Dang

“…This model was designed to enhance anesthesia management efficiency and disease detection rates. In collaboration with the Department of Anesthesiology at Renji Hospital, which is affiliated with the Shanghai Jiao Tong University School of Medicine, data pertaining to anesthesia were collected from 398 patients, who were undergoing gastrointestinal endoscopy. …”
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Network Security Situational Awareness Based on Improved Particle Swarm Algorithm and Bidirectional Long Short-Term Memory Modeling by Peng Zheng, Yun Cheng, Wei Zhu, Bo Liu, Shuhong Liu, Shijie Wang, Jinyin Bai

“…This indicates a high level of recognition and precision exhibited by the proposed model in detecting network security risk behaviors. Furthermore, in contrast to the traditional CNN neural network, the proposed model is more compact, which significantly reduces the computational overhead and allows for efficient network security situational awareness.…”
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Deep-m6Am: a deep learning model for identifying N6, 2′-O-Dimethyladenosine (m6Am) sites using hybrid features by Islam Uddin, Salman A. AlQahtani, Sumaiya Noor, Salman Khan

“…The proposed framework employs a comprehensive feature extraction process, i.e., integrating pseudo single nucleotide composition (PseSNC), pseudo dinucleotide composition (PseDNC), and pseudo trinucleotide composition (PseTNC) to capture complex sequence patterns. To enhance computational efficiency and eliminate noisy or redundant features, a supervised SHAP (SHapley Additive exPlanations) algorithm is utilized, ensuring the selection of the most informative features. …”
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Identification Method of Dynamic Propagation Process of Rock Fracture Based on Ground Penetrating Radar by CHEN Jun, ZHANG Bo, ZHUANG Xingyue, SONG Zhishu, ZHENG Jun

“…The localization errors for the endpoints of the horizontally propagating fractures are consistently below 2%, proving the reliability of this method for real-time monitoring and early warning of fracture propagation.In contrast, the vertical propagation of fractures presents a more complex scenario. When the fracture propagates upwards, the "shielding effect" caused by the overlying fracture significantly hinders the GPR signal's ability to detect the lower fracture tip. …”
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An Analog Sensor Signal Processing Method Susceptible to Anthropogenic Noise Based on Improved Adaptive Singular Spectrum Analysis by Zhengyang Gao, Shuangchao Ge, Jie Li, Wentao Huang, Kaiqiang Feng, Chenming Zhang, Chunxing Zhang, Jiaxin Sun

“…ASSA addresses the challenge of determining the optimal number of decomposition layers, eliminating the parameter adjusting process and enhancing the measurement efficiency of sensor systems. Through experiments, magnetotelluric (MT) observation data with complex interferences were applied to demonstrate the performance of ASSA, and promising results with an RMSE of 0.2 were obtained. …”
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A systematic review of multi-mode analytics for enhanced plant stress evaluation by Abdolrahim Zandi, Seyedali Hosseinirad, Hossein Kashani Zadeh, Kouhyar Tavakolian, Byoung-Kwan Cho, Fartash Vasefi, Moon S. Kim, Pantea Tavakolian, Pantea Tavakolian

“…IntroductionDetecting plant stress is a critical challenge in agriculture, where early intervention is essential to enhance crop resilience and maximize yield. …”
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Visual Impairment Spatial Awareness System for Indoor Navigation and Daily Activities by Xinrui Yu, Jafar Saniie

“…Our experimental results confirm that the VISA system efficiently assists visually impaired users in indoor navigation, object detection and localization, and label and text recognition, thereby significantly enhancing their spatial awareness and independence.…”
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Determination of Tungsten, Molybdenum and 5 Associated Elements in Tungsten-Molybdenum Ore by Inductively Coupled Plasma-Optical Emission Spectrometry with Direct Sintering by Zhou SONG, Yiping JI, Weihua WANG, Shaomin FANG, Jie YANG, Huoyan LUO, Yuqi ZHOU

“…However, the matrix effect cause by the alkali melting method seriously affects the accuracy and detection limit of instrument testing; the acid dissolution method has low dissolution efficiency for tungsten, molybdenum and other insoluble elements, and requires a long time and a complex pretreatment process by using a variety of inorganic strong acids such as hydrofluoric acid and aqua regia, which can also cause damage to the analytical and testing instruments.OBJECTIVESTo develop a simple and efficient method for quantitative analysis of tungsten and molybdenum and its associated elements in tungsten-molybdenum ore.METHODSBased on alkaline melting and acid dissolution, a method was established by inductively coupled plasma-optical emission spectrometry (ICP-OES) with direct sintering and complex extraction of hydrochloric acid-phosphoric acid-citric acid. …”
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Research progress,key scientific issues,and prospects of segmented fracturing and pressure relief gas drainage technology for coal seam roof horizontal wells by Ke YANG, Zhainan ZHANG, Xinzhu HUA, Wenjie LIU, Xin LYU, Xiaolou CHI, Changcheng WANG, Caiqing LI

“…At present, there is insufficient research on the residual water from coal seam roof fracturing in terms of polluting water sources, inhibiting gas drainage, and dangerous accumulation, and there is a lack of management experience and technical support in a “Chinese style” approach.Guided by the development concept of the entire life cycle of coal seam roof fracturing engineering, this paper analyzes its high water consumption, fracturing fluid selection and potential pollution, reasonable selection of proppants, air pollution and seismic risks, and puts forward corresponding policy and regulatory formulation ideas.Realizing real-time and accurate monitoring of multi crack competition expansion in complex environments, revealing the mechanism of segmented fracturing and cross interface crack expansion of coal seam roof under the influence of multiple factors, constructing an effective radius evaluation model for segmented fracturing crack expansion of coal seam roof horizontal wells, exploring the water and gas migration law under the dual anisotropy conditions of three-dimensional stress and coal body structure, achieving advanced detection of potential danger areas for water and gas aggregation during fracturing of coal seam roof horizontal wells,and establishing a refined evaluation model for the effect of segmented fracturing,pressure relief, and gas drainage in coal seam roof horizontal wells is currently a key scientific problem that urgently needs to be solved.Finally, the development direction of precision,coordination, intelligence, comprehensiveness, and demonstration of segmented fracturing and pressure relief gas drainage technology for coal seam roof horizontal wells was outlined.…”
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Analysis of 6G and B5G waveforms using hybrid MF-ED and ECG-ED spectrum sensing techniques by Arun Kumar, Aziz Nanthaamornphong

“…This study explores hybrid spectrum sensing techniques, combining matched filter (MF) energy detection (ED) and an equal-gain combining-based energy detection Neyman-Pearson threshold estimation technique (EGC-ED-PTh) to enhance waveform detection accuracy in complex environments. …”
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