Control of Carbon Dioxide Bivalent Heat Pump on Heating of Buildings by Sit M.L., Juravleov A.A., Frid S.E., Timchenko D.V.

“…The goal was achieved by solving the following problems: analysis of methods of synthesis of BHP circuits, analysis of circuit operation under random disturbances and development of the automatic control systems for BHP. The most significant result of the work is: a heat pump circuit that can operate at variable pressures of the evaporator and the gas cooler. …”
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Control of Carbon Dioxide Bivalent Heat Pump on Heating of Buildings. Part II by Sit M.L., Juravleov A.A., Frid S.E., Timchenko D.V., Denysova A.E.

“…The set goal is achieved by solving the following tasks: analy-sis of the methods of synthesis of systems at variable load, analysis of the operation of the sys-tem at random disturbances, development of the heat pump automatic control system (ACS). The main result of the work is: the scheme of the heat pump, which can work with variable pressures of the evaporator and the gas cooler, as well as the technical solution, in which the en-thalpy difference at the evaporator remains constant regardless of the outside air temperatures Significance of the obtained results consists in creation of the BTN scheme, which allows to provide both qualitative and qualitative-quantitative laws of regulation of thermal regime of a building at increase of SOR of a heat pump, thanks to rational choice of a temperature schedule of regulation. …”
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Assessment of assembly complexity of electronic units by Oleksandr Tynynyka

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Assessing vertebral bone density changes with phantomless QCT after posterior open reduction and internal fixation by Hu Shao, Lianda Yang, Hanfeng Hu, Ying Qian, Linlin Zhang, Huilin Yang

“…Abstract This study was to investigate vertebral body bone mineral density (BMD) changes using a novel automatic phantom-less quantitative CT (PL-QCT) system in short and relatively long-term periods after posterior open reduction and internal fixation. 109 patients (77 men [70.6%]; median age, 48 [IQR 37, 55]) who underwent posterior open reduction and internal fixation for thoracolumbar fractures were enrolled into the study. …”
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Quantification of Tobacco Leaf Appearance Quality Index Based on Computer Vision by Tiannan Wu, Yunwei Zhang, Zewu Gong, Dongfeng Lu

“…But in national standards for flue-cured tobacco, the specified indicators only have qualitative descriptions, and a few have a range of quantitative values, lacking quantitative calculation methods, which affects the effective use of these indicators in tobacco automatic grading. …”
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Evaluation of non-motor symptoms in Parkinson’s disease using multiparametric MRI with the multiplex sequence by He Sui, Zhanhao Mo, Feng Shi, Qing Zhou, Dan Yu, Jiaqi Wang, Lin Liu

“…Brain subregions were automatically segmented using deep learning, and their volume and quantitative parameters were correlated with NMS-related assessment scales using Spearman’s rank correlation coefficient.ResultsCorrelations were observed between QSM and T2* values of certain subregions within the left frontal and bilateral temporal lobes and both anxiety and depression (absolute r-values ranging from 0.358 to 0.480, p < 0.05). …”
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Automated UPDRS Gait Scoring Using Wearable Sensor Fusion and Deep Learning by Xiangzhi Liu, Xiangliang Zhang, Juan Li, Wenhao Pan, Yiping Sun, Shuanggen Lin, Tao Liu

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Selected methods of pathological speech signal analysis by W. WSZOŁEK

“…The problem, presented in this article, is strongly different from the majority of works, which were published by other authors, as most of well known works, concerning the speech signal analysis (etc.), are directed to understand the content of the statement (automatic speech understanding, a speech-writing conversion, steering of the devices by speech signal), or relatively by determining the identity of the speaker (automatic identification or authentification of the speaker). …”
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Design of the Control Device for Metro Train Traction Energy Consumption Test by SUN Zeyong, ZHOU Yuan, YIN Yuan

“…Automatic operation of metro trains of different manufacturers is realized by simulating level signal of driver controller. …”
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A Multimodal Interaction-Driven Feature Discovery Framework for Power Demand Forecasting by Zifan Ning, Min Jin, Pan Zeng

“…Subsequently, TKNFD introduces a two-stage quantitative feature identification strategy that operates independently of forecasting models. …”
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Automated high-temporal-resolution multi-element river water monitoring with ICP-MS by Mohamed Harhash, Jan G. Wiederhold, Ingrid Nett, Julia Arndt, Alexander Zavarsky, Thomas A. Ternes, Lars Duester

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Automated remote sensing monitoring of cropland non-agricultural and non-grain conversion at parcel scale in complex environments through multi-source data fusion by Junyao Zhang, Xiaomei Yang, Jianwang Dai, Xiaofan Wang, Zheng Fang, Xiaoliang Liu, Xiaowei Zeng, Zhihua Wang

“…We aim to develop an automated process framework that accurately extracts parcel boundaries and identifies multiple types of changes. Quantitative experiments assessed the effectiveness of various solutions for key modules in the framework, including multisource data fusion, image segmentation, sample generation, and classification feature strategies. …”
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OCCUPATIONAL RISK FOR EMPLOYEES OF MODERN PRODUCTION OF EPICHLOROHYDRIN IN DYNAMICS OF MEDICAL EXAMINATIONS by N. M. Meshchakova, S. F. Shayakhmetov, M. P. Dyakovich

“…This study aimed to reveal the health disorder peculiarities in the employees of the modern production ofepichlorohydrin (EPCH) based on using the automatized system of the quantitative risk assessment of the main common pathological syndromes (RMCPS) and the results of medical examinations performed in dynamics. …”
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Research of influence of energy consumption of draft gears on longitudinal forces in the tank car train by D. А. Stupin, V. I. Belyaev

“…On the basis of results of comparison tests not only qualitative, but also quantitative impact assessment of high class draft gears was performed on longitudinal dynamics of the train. …”
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Attention U-Net-based semantic segmentation for welding line detection by Hunor István Lukács, Bence Zsolt Beregi, Balázs Porteleki, Tamás Fischl, János Botzheim

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Integrating deep learning and machine learning for improved CKD-related cortical bone assessment in HRpQCT images: A pilot study by Youngjun Lee, Wikum R. Bandara, Sangjun Park, Miran Lee, Choongboem Seo, Sunwoo Yang, Kenneth J. Lim, Sharon M. Moe, Stuart J. Warden, Rachel K. Surowiec

“…High resolution peripheral quantitative computed tomography (HRpQCT) offers detailed bone geometry and microarchitecture assessment, including cortical porosity, but assessing chronic kidney disease (CKD) bone images remains challenging. …”
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Automated speech therapy through personalized pronunciation correction using reinforcement learning and large language models by Ritika Lakshminarayanan, Ayesha Shaik, Ananthakrishnan Balasundaram

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Classifying breast cancer and fibroadenoma tissue biopsies from paraffined stain-free slides by fractal biomarkers in Fourier Ptychographic Microscopy by Vittorio Bianco, Marika Valentino, Daniele Pirone, Lisa Miccio, Pasquale Memmolo, Valentina Brancato, Luigi Coppola, Giovanni Smaldone, Massimiliano D’Aiuto, Gennaro Mossetti, Marco Salvatore, Pietro Ferraro

“…We use Fourier Ptychography as a quantitative phase-contrast microscopy method, which allows accessing a very wide field of view (i.e., mm2) in one single image while guaranteeing high lateral resolution (i.e., 0.5 µm). …”
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Deep learning system for the auxiliary diagnosis of thyroid eye disease: evaluation of ocular inflammation, eyelid retraction, and eye movement disorder by Yu Han, Jun Xie, Xiaoyu Li, Xinying Xu, Bin Sun, Han Liu, Chunfang Yan

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Cross-Layer Designs and Analysis of Adaptive-Rate Transmission and ARQ for Free-Space Optical Communications by Vuong V. Mai, Anh T. Pham

“…To enhance the systems' performance, adaptive-rate (AR) transmission and automatic repeat request (ARQ) have been separately considered at the physical and data link control layers. …”
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