Impressions of acute pain services in a tertiary care center in India – Enhancing perioperative outcomes beyond pain by Jyotsna Agarwal, Samiksha Khanuja, Mahima Gupta, Pratibha Panjiar, Megha Wadhwani, Mansi Jain

“…Background and Objective: Acute pain services (APSs) in schema to its name primarily aim to manage acute postoperative pain. …”
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Assessment of Postural Control and Proprioception Using the Delos Postural Proprioceptive System by Roberto Tedeschi

“…The DPPS represents a valuable tool for objective assessment and monitoring of postural control and proprioceptive function. …”
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Immunohistochemical and Ultrastructural Study of the Degenerative Processes of the Hip Joint Capsule and Acetabular Labrum by Riana Maria Huzum, Bogdan Huzum, Marius Valeriu Hînganu, Ludmila Lozneanu, Fabian Cezar Lupu, Delia Hînganu

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Introduction of LPIN1 as a potential diagnostic and prognostic biomarker for gastric cancer via integrative bioinformatics analysis of a competing endogenous RNA network and experi... by Milad Daneshmand-Parsa, Parvaneh Nikpour

“…Expression analysis of LPIN1 showed a significant decrease in GC tumors compared to non-tumor tissues (P=0.003).Conclusion: Our research emphasizes the significant implications of ceRNA networks in the development of new biomarkers for the detection and prognosis of cancer. Further examination is necessary to explore the functional roles of LPIN1 in the pathogenesis of GC.…”
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Enhanced boundary perception and streamlined instance segmentation by Junyong Shi, Guangzhi Chen, Yu Chen

“…Abstract Instance segmentation is a crucial task in computer vision that aims to simultaneously identify and segment individual objects within images. While existing approaches such as Mask R-CNN have shown promise, they often struggle with accurate boundary detection, especially for complex objects. …”
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A Hidden Pulse: Uncovering a New Timing Signal in Cygnus X-1 with AstroSat by Sandeep K. Rout, Federico García, Mariano Méndez, Abhay Kumar, Santosh Vadawale, David M. Russell, Pei Jin

“…We use a novel frequency-segmented technique to fit simultaneously the cross spectra and parts of the power spectra and coherence function with a multi-Lorentzian model and predict the phase lags and the complementary parts of the power spectra and coherence function. …”
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Research on Spread Spectrum Codes Optimized by Sparrow Search Algorithm and Extreme Gradient Boosting by LIANG Zhiru, BIAN Dongming, ZHANG Gengxin

“…【Objective】Direct Sequence Spread Spectrum (DSSS) has been widely used in military and civilian communications due to its strong resistance to various common interferences, high security, and ease of implementation. …”
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The research on full-waveform inversion method and its application based on Hessian operator preprocessing by Fei-Long Yang, Fei-Long Yang, Fei-Long Yang, Hui-Li Zhang, Feng-Ming Yao, Lei Wang, Yun-Hong Zhu

“…Its mathematics foundation determines that FWI is a strong nonlinearity with the solution being non-unique and the function being difficult to converge. In this paper, adjoint gradient and Hessian operators are introduced into the calculation of FWI objective function to improve the inversion accuracy. …”
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Monitoring of the state of electromagnetic fuel injectors of gasoline engines with distributed fuel injection systems by G. N. Votinov, D. V. Maltsev, D. S. Repetsky

“…Ensuring the trouble-free operation of road transport is one of the priority tasks. The functioning of the internal combustion engine, the most important unit, is impossible without the correct operation of the fuel injectors. …”
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PREOPERATIVE AND POSTOPERATIVE PULMONARY REHABILITATION IN PATIENTS WITH LUNG CANCER AND CHRONIC OBSTRUCTIVE PULMONARY DISEASE by S. Yu. Dobner, S. A. Tuzikov, T. S. Аgeeva, E. N. Samtsov, A. V. Dubakov, I. G. Sinilkin, A. Yu. Dobrodeev

“…The purpose of the study was to analyze the world experience in the objective assessment of the functional state of the bronchopulmonary system in lung cancer patients with chronic obstructive pulmonary disease (COPD) using modern diagnostic tools and techniques as well as correction of ventilation disorders in the perioperative period using long-acting inhaled bronchodilators. …”
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Flexible Visible Spectral Sensing for Chilling Injuries in Mango Storage by Longgang Ma, Zhengzhong Wan, Zhencan Yang, Xunjun Chen, Ruihua Zhang, Maoyuan Yin, Xinqing Xiao

“…The system is structured based on a perception-analysis-warning-processing framework, utilizing laser-induced graphene electroplated copper integrated with laser etching technology for hardware fabrication, and developing corresponding data acquisition and processing functionalities. Taking Yunnan Yumang as the research object, a three-level chilling injury label dataset was established. …”
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A Medical Hardware-Software System for Remote Monitoring of Heart Diseases by T. M. Magrupov, Z. M. Yuldashev, S. P. Abdihalikov

“…Wireless diagnostics of patients’  functional state is important  for ensuring timely detection and treatment of diseases. …”
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ATP6V1A deletion leads to impaired clearance of septic cardiac resident macrophages by YANG Shunxin, ZHOU Yuanqun, XIANG Xinming

“…Then DQ-BSA-RED lysosomal activity detection probe, Lyso-Sensor yellow/bule dye, ELISA, and Western blotting were applied to detect the lysosomal function of cardiac resident macrophages, activity and expression of important lysosomal hydrolases, changes in contents and related subunits of vacuolar-type adenosine triphosphatases (V-ATPase). …”
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RANKL, OPG, and CTS‐K Release in Bone Response to Immediate Nonfunctional Loading of a Single Implant in Mandibular Molar Sites During Osseointegration Establishment by Xiaowen Hu, Yijie Fan, Xuexia Chen

“…All eligible patients were recalled for collecting peri‐implant crevicular fluid (PICF) samples according to the scheduled follow‐up time point during osseointegration and functional loading. Detection of receptor activator of nuclear factor‐KB ligand, osteoprotegerin, and cathepsin K in PICF was conducted to statistically analyze their difference between IR and CR groups. …”
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Statistical model for assessing the reliability of non-destructive testing systems by solving inverse problems by A. E. Alexandrov, S. P. Borisov, L. V. Bunina, S. S. Bikovsky, I. V. Stepanova, A. P. Titov

“…The calculation data were used to construct curves of the probability density of detected defects as a function of the defect size, recover the values of the defect distribution parameters under various test conditions, and estimate the error of recovering the parameters. …”
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A Generalized Modularity for Computing Community Structure in Fully Signed Networks by Xiaochen He, Ruochen Zhang, Bin Zhu

“…An optimization algorithm that maximizes modularity to detect potential communities is also proposed. Experiments show that the proposed method can efficiently optimize the objective function and perform effective community detection.…”
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Energy-Efficient Node Selection for Target Tracking in Wireless Sensor Networks by Yong Wang, Dianhong Wang

“…Then, an objective function for collaborative target tracking in wireless sensor networks is constructed according to the information utility and the remaining energy of sensor nodes. …”
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Correspondence of MRI and nTMS With EDSS in Multiple Sclerosis: Longitudinal Follow‐Up Study by Antonia Bralić, Sanda Pavelin, Nikolina Pleić, Joško Šoda, Krešimir Dolić, Anita Markotić, Ana Ćurković Katić, Angela Mastelić, Nikolina Režić Mužinić, Jasna Duranović, Zlatko Kljajić, Ivona Stipica Safić, Zoran Đogaš, Maja Rogić Vidaković

“…ABSTRACT Objectives Considering the characteristics of multiple sclerosis (MS) disease and its impact on motor disability, this study aims to assess the functional integrity of the corticospinal tract by examining motor evoked potentials (MEPs), Expanded Disability Status Scale (EDSS) scores, magnetic resonance imaging (MRI) lesion counts, and psychological and physical status reported by patients with relapsing–remitting MS (RRMS). …”
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ML‐UrineQuant: A machine learning program for identifying and quantifying mouse urine on absorbent paper by Warren G. Hill, Bryce MacIver, Gary A. Churchill, Mariana G. DeOliveira, Mark L. Zeidel, Marcelo Cicconet

“…We have developed a machine learning algorithm based on Region‐based Convolutional Neural Networks (Mask‐RCNN) that was trained in object recognition to detect and quantitate urine spots across a broad range of sizes—ML‐UrineQuant. …”
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Implementation of stochastic signal processing algorithms in radar CAD by M. Yu. Konopel'kin, S. V. Petrov, D. A. Smirnyagina

“…The processing of various types of signals can be simulated in detail on the basis of the Russian radar CAD system for the development of functional radar models. According to the results of the simulation, coordinates of observing objects were obtained and an assessment of the effectiveness of the algorithms was given. …”
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