Determinants of Online Local Budget Transparency in Croatia and Slovenia by Katarina Ott, Mihaela Bronić, Branko Stanić, Maja Klun, Jože Benčina

“…The article tests the determinants of OLBT that reflect the accountability of local authorities and a cornerstone for public participation in the budget process. The following methodology was applied: using a data set of 768 Slovenian and Croatian local governments over the 2015–2017 period and testing it against several financial and socio-economic variables, and a random effects panel logistic regression, separately for Croatia, Slovenia, and a pooled sample. …”
Get full text

Research on small target ship recognition based on feature fusion method and hybrid attention model by Ronghui YAN, Qian GUO, Ming LEI, Yanxiang CAI, Jianfeng YANG

Get full text

Comparing post-acute rehabilitation use, length of stay, and outcomes experienced by Medicare fee-for-service and Medicare Advantage beneficiaries with hip fracture in the United S... by Amit Kumar, Momotazur Rahman, Amal N Trivedi, Linda Resnik, Pedro Gozalo, Vincent Mor

“…We linked the Master Beneficiary Summary File, Medicare Provider and Analysis Review data, Healthcare Effectiveness Data and Information Set data, the Minimum Data Set, and the American Community Survey. …”
Get full text

FAULT DIAGNOSIS OF ROLLING BEARING BASED ON LEARNING SAMPLE SELECTION VIA CORRELATION ENERGY FLUCTUATION EVALUATION AND DEEP BELIEF NEURAL NETWORK (MT) by QIN Bo, LUO QuanYi, FENG WeiWei, ZHANG Peng, ZHAO ZhenHua, LI ZiXian, WANG Zhuo

“…The data-driven intelligent diagnosis of rolling bearing status suffers from low recognition rate due to the poor quality of learning samples in the process of identification model construction. …”
Get full text

Research on LiDAR Clear Air Turbulence Recognition Based on Improved SE-ResNet50 by Zibo ZHUANG, Jun CHEN, Peilin HE, Hongying ZHANG, Guohua JIN, Xiong LUO

“…By introducing the squeeze-and-excitation module and improving the network structure, the model’s excessive sensitivity to feature location is reduced, thereby enabling the network to selectively highlight useful information features during the learning process. A sample dataset was established using measured data from Lanzhou Zhongchuan International Airport; for model training, a balanced dataset was created by extracting an equal amount of weak, moderate, and strong turbulence data based on the turbulence classification level. …”
Get full text

A digital twin model of urban utility tunnels and its application [version 1; peer review: 2 approved] by Wu Jiansong, Hu Yanzhu, Fan chen, Cai Jitao, Fu Ming, Wang Xin, Zou Xiaofu

“…The simulation results of different cases are introduced to verify the reliability of the risk indicator proposed in this paper, which increases with the leakage rate. Finally, A process for visualizing numerical simulation is proposed into a digital twin. …”
Get full text

The problem of inflation and dependence on imports in an open economy (on the example of the economy of the republic of Tajikistan) by M. M. Ahmedova

“…In this connection, the article discusses in detail such issues as the specifics of inflation processes in the context of globalization, the interrelation between inflation and the foreign trade factor, the interrelation between inflation and the exchange rate. …”
Get full text

Automated Monitoring of Human Physiological Parameters While Being in Virtual Reality by S. V. Mazur, A. I. Golovaty

“…The result of the research was a software package that allows to continuously collectheart beat rate data while in virtual reality from a Bluetooth Low Energy device.…”
Get full text

AN INTERFERENCE-IMMUNE COMMUNICATION SYSTEM FOR DIGITAL DATA TRANSMISSION BASED ON A MULTI-CHANNEL CORRELATOR Part 1. DEVELOPMENT OF A SIGNAL FORMATION AND DECODING ALGORITHM FOR T... by A. V. Varavin, H. P. Yermak, D. P. Kudryavtsev, O. S. Vasiliev, M. V. Balaban, S. S. Melnyk, V. M. Zheltov, O. V. Fateev

“…Basic software solutions are experimentally developed for data receiving, transforming, processing, and displaying. …”
Get full text

Characteristics of Supercritical CO₂ Non-Mixed Phase Replacement in Intraformational Inhomogeneous Low-Permeability Reservoirs by Mingxi Liu, Kaoping Song, Longxin Wang, Hong Fu, Tianhao Wang

“…These findings provide data support for improving the development effectiveness of CO₂ in low-permeability inhomogeneous reservoirs and emphasize the importance of the influence of multiple factors, such as injection flow rate, gravity, and rhythm, in CO₂ replacement.…”
Get full text

The comparison of selected kinetic factors during a cross-cutting maneuver in soccer players with athletics groin pain and healthy ones: Implications for injury prevention by Hamidreza Naserpour, Elham Shirzad, Mehdi Khaleghi Tazji, Amir Letafatkar

“…The MATLAB and ORIGIN PRO software were used to filter and process the force plate data. The independent sample t-test was used to compare healthy groups and AGP results.Results: The results showed the significant differences in the peak of ground reaction force (P=0.023), symmetry index (P=0.01), and rate of force development (P=0.031) in the medial-lateral direction of the dominant limb in a group with AGP. …”
Get full text

TTG-Text: A Graph-Based Text Representation Framework Enhanced by Typical Testors for Improved Classification by Carlos Sánchez-Antonio, José E. Valdez-Rodríguez, Hiram Calvo

“…Recent advancements in graph-based text representation, particularly with embedding models and transformers such as BERT, have shown significant potential for enhancing natural language processing (NLP) tasks. However, challenges related to data sparsity and limited interpretability remain, especially when working with small or imbalanced datasets. …”
Get full text

Understanding and Addressing Variability Through Recalibration in a Brain–Computer Interface for Intelligent Vehicle Control Using Long-Term Implanted Human Neural Data: A C... by Yicong Xiao, Spencer Kellis, Christopher. F Reiche, Florian Solzbacher

“…Error from both sources may increase over time with changes in the neural signal or recording process. In practice, systematic error could be addressed through recalibration of model parameters, where the frequency of recalibration is based on the rate of performance loss. …”
Get full text

High-quality deepfakes have a heart! by Clemens Seibold, Clemens Seibold, Eric L. Wisotzky, Eric L. Wisotzky, Arian Beckmann, Benjamin Kossack, Anna Hilsmann, Peter Eisert, Peter Eisert

“…Additionally, we generated high-quality deepfakes and incorporated publicly available datasets into our evaluation.ResultsWe prove that our heart rate extraction pipeline produces valid estimates for genuine videos by comparing the estimated results with ECG reference data. …”
Get full text

Cost and benefit analysis of Climate-Smart Agriculture interventions in the dryland farming systems of northern Ghana by Felix KPENEKUU, Philip ANTWI-AGYEI, Fred NIMOH, Andrew DOUGILL, Albert BANUNLE, Jonathan ATTA-AIDOO, Frank BAFFOUR-ATA, Thomas Peprah AGYEKUM, Godfred ADDAI, Lawrence GUODAAR

“…Data were collected from 161 farm households by the questionnaire survey. …”
Get full text

The inversion of the single-stage hydraulic fracture parameters for shale gas well based on the shut-in pressure-drop data: a case of shale gas well in Changning N209 well area by ZHAO Yulong, CUI Qianchen, GAO Shangjun, CHEN Man, ZHENG Chuntao, ZHANG Liehui

“…The correlation between gas rate and total fracture length is the highest at early production period, and the correlation between estimated ultimate recovery (EUR) and fracture surface area is the highest. …”
Get full text

Real-Time Integration of Optical Coherence Tomography Thickness Map Overlays for Enhanced Visualization in Epiretinal Membrane Surgery: A Pilot Study by Ferhat Turgut, Keisuke Ueda, Amr Saad, Tahm Spitznagel, Luca von Felten, Takashi Matsumoto, Rui Santos, Marc D. de Smet, Zoltán Zsolt Nagy, Matthias D. Becker, Gábor Márk Somfai

“…Subsequently, for consecutive frames, feature point extraction (the Shi–Tomasi method) and optical flow computation (the Lucas–Kanade algorithm) were used to calculate frame-by-frame transformations, which were applied to the OCT image to maintain alignment in near real time. (3) Results: The method achieved a 92.7% success rate in optical flow detection and maintained an average processing speed of 7.56 frames per second (FPS), demonstrating the feasibility of near real-time application. (4) Conclusions: The developed approach facilitates enhanced intraoperative visualization, providing surgeons with easier retinal structure identification which results in more comprehensive data-driven decisions. …”
Get full text

Improving Pairs Trading Strategies Using Two-Stage Deep Learning Methods and Analyses of Time (In)variant Inputs for Trading Performance by Wei-Lun Kuo, Wei-Che Chang, Tian-Shyr Dai, Ying-Ping Chen, Hao-Han Chang

Get full text

Palmprint recognition based on principal line features by Hongxia Wang, Teng Lv

“…Then, a Gabor filter is applied to the WLE-extracted results to purify the features and remove fine lines, as fine lines can introduce noise and redundancy that interfere with the accurate extraction of significant principal line features crucial for palmprint recognition. Evaluating this data augmentation across four common Vision Transformer (ViT) classification models, experimental results show that it improves the recognition rates of all databases to varying degrees, with a remarkable 32.9% increase on the high-resolution XINHUA database. …”
Get full text

Aerodynamic optimization for stability improvement of a centrifugal compressor using arbitrary-shape volute design by Richard Amankwa Adjei, Chengwei Fan, Salman Ijaz, Hao Zou

“…A fully automated loop was used to generate design of experiments (DoE) cases, from which data mining was employed for design-rule extraction. …”
Get full text