Modeling of working processes in the frequency-adjustable hydraulic drive of manipulation systems with separate movement of links during operation of mobile machines by Lagerev A.V., Lagerev I.A.

“…The article discusses the functional-structural scheme and the mathematical model of the working hydrodynamic processes in the frequency-adjustable hydraulic drive of the technological cranes-manipulators. …”
Get full text

Modeling of working processes in the throttle-adjustable hydraulic drive of manipulation systems with conjoint movement of links during operation of mobile machines by Lagerev A.V., Lagerev I.A.

“…The article proposes a functional-structural scheme and a mathematical model of working hydrodynamic processes in a throttle-adjustable hydraulic drive of handling systems (cranes-manipulators) of mobile transport-technological machines during the conjoint movement of two links. …”
Get full text

On Robustness of the Explanatory Power of Machine Learning Models: Insights From a New Explainable AI Approach Using Sensitivity Analysis by Banamali Panigrahi, Saman Razavi, Lorne E. Doig, Blanchard Cordell, Hoshin V. Gupta, Karsten Liber

“…Abstract Machine learning (ML) is increasingly considered the solution to environmental problems where limited or no physico‐chemical process understanding exists. …”
Get full text

THE JAK2V617F POINT MUTATION INCREASES THE OSTEOCLAST FORMING ABILITY OF MONOCYTES IN PATIENTS WITH CHRONIC MYELOPROLIFERATIVE NEOPLASMS AND MAKES THEIR OSTEOCLASTS MORE SUSCEPTIBL... by Emmanouil Spanoudakis, Menelaos Papoutselis, Ioanna Bazntiara, Eleftheria Lamprianidou, Xrisa Kordella, Constantinos Tilkeridis, Constantinos Tsatalas, Ioannis Kotsianidis

“…JAK2V617F is a gain of function point mutation that occurs in Myeloproliferative Neoplasm (MPN) patients and deranges their hemopoiesis at cellular level. …”
Get full text

Potential Alterations of Functional Connectivity Analysis in the Patients with Chronic Prostatitis/Chronic Pelvic Pain Syndrome by Shengyang Ge, Qingfeng Hu, Yijun Guo, Ke Xu, Guowei Xia, Chuanyu Sun

“…To assess the integrity of the default mode network (DMN), we utilized the voxel-wised analysis that we set medial prefrontal cortex (mPFC) and posterior cingulate gyrus (PCC) as seed points to compare the global functional connectivity (FC) strength. …”
Get full text

Double-diffusive magnetoconvection in a tilted porous parallelogrammic domain with discrete heated-cooled segments: Leveraging machine learning and CFD approach by P. Ravindra, M. Sankar, Suresh Rasappan, Wardah Abdullah Al Majrafi, Pugalarasu Rajan, S. Sanal Kumar

Get full text

Functional mapping of human dynamin-1-like GTPase domain based on x-ray structure analyses. by Julia Wenger, Eva Klinglmayr, Chris Fröhlich, Clarissa Eibl, Ana Gimeno, Manuel Hessenberger, Sandra Puehringer, Oliver Daumke, Peter Goettig

Get full text

Intelligent long jump evaluation system integrating blazepose human pose assessment algorithm in higher education sports teaching by Tao Wang

“…Additionally, the method shows a scoring result with an average error range of 3 points compared to evaluations by professional teachers. …”
Get full text

PHILOSOPHICAL AND ANTHROPOLOGICAL IMPORTANCE OF DEVELOPMENT OF ARTIFICIALLY CREATED INTELLIGENT SYSTEMS by Yu. D. Gensitskiy

“…Such system becomes smarter, including the intelligent writing of internal cognitive function, that the ability to rewrite their existing cognitive function to make it work better. …”
Get full text

A Comparison of Approaches for Segmenting the Reaching and Targeting Motion Primitives in Functional Upper Extremity Reaching Tasks by Kyle L. Jackson, Zoran Duric, Susannah M. Engdahl, Anthony C. Santago, Siddhartha Sikdar, Lynn H. Gerber

“…There is growing interest in the kinematic analysis of human functional upper extremity movement (FUEM) for applications such as health monitoring and rehabilitation. …”
Get full text

Large-scale urban building function mapping by integrating multi-source web-based geospatial data by Wei Chen, Yuyu Zhou, Eleanor C. Stokes, Xuesong Zhang

“…Morphological (e.g. shape, size, and height) and function (e.g. working, living, and shopping) information of buildings is highly needed for urban planning and management as well as other applications such as city-scale building energy use modeling. …”
Get full text

Using Machine Learning to Predict Cognitive Decline in Older Adults From the Chinese Longitudinal Healthy Longevity Survey: Model Development and Validation Study by Hao Ren, Yiying Zheng, Changjin Li, Fengshi Jing, Qiting Wang, Zeyu Luo, Dongxiao Li, Deyi Liang, Weiming Tang, Li Liu, Weibin Cheng

“…ObjectiveThe objective of this study was to explore the application of machine learning (ML) to integrate blood biomarkers, life behaviors, and disease history to predict the decline in cognitive function. …”
Get full text

Clinical efficacy of unicompartmental knee arthroplasty on limb swelling, pain, and functional rehabilitation in knee osteoarthritis patients by Xiangtao Zhang, Yongbin Han, Qingbing Bai, Tong Li, Fei Wang

“…Results At 6 months postoperatively, the HSS score and ROM were significantly higher in the test group (92.21 ± 7.10 points and 103.30 ± 5.50°) than in the matched group (P < 0.05), while HKA (2.33 ± 0.82°) was significantly lower (P < 0.05). …”
Get full text

Structural and functional imaging studies in chronic cannabis users: a systematic review of adolescent and adult findings. by Albert Batalla, Sagnik Bhattacharyya, Murat Yücel, Paolo Fusar-Poli, Jose Alexandre Crippa, Santiago Nogué, Marta Torrens, Jesús Pujol, Magí Farré, Rocio Martin-Santos

“…<h4>Background</h4>The growing concern about cannabis use, the most commonly used illicit drug worldwide, has led to a significant increase in the number of human studies using neuroimaging techniques to determine the effect of cannabis on brain structure and function. We conducted a systematic review to assess the evidence of the impact of chronic cannabis use on brain structure and function in adults and adolescents.…”
Get full text

Longitudinal Assessment of FT3 to FT4 Conversion Ratio in Predicting the Efficacy of First-Line Pembrolizumab-Based Therapy in Advanced Non-Small Cell Lung Cancer: A Propensity-Sco... by Fabrizio Nelli, Enzo Maria Ruggeri, Marta Schirripa, Antonella Virtuoso, Diana Giannarelli, Armando Raso, Daniele Remotti, Agnese Fabbri

“…Baseline thyroid function, as measured by the fT3 to fT4 ratio, has been shown to influence the prognosis of advanced cancer patients receiving active treatments. …”
Get full text

Abnormal Brain Functional Connectivity in Patients with Chronic Obstructive Pulmonary Disease and Correlations with Clinical and Cognitive Parameters by Han KI, Yeo Y, Jo HJ, Jo MJ, Park Y, Park TS, Jung SJ, Bae JH, Jang SH, Choi J, Park DW, Kim TH

“…A total of 184 resting-state functional connectivity (RSFC) maps were generated for all seed points. …”
Get full text

Emerging Diagnostic Approaches for Musculoskeletal Disorders: Advances in Imaging, Biomarkers, and Clinical Assessment by Rahul Kumar, Kiran Marla, Kyle Sporn, Phani Paladugu, Akshay Khanna, Chirag Gowda, Alex Ngo, Ethan Waisberg, Ram Jagadeesan, Alireza Tavakkoli

“…Molecular imaging and biochemical markers such as CTX-II (C-terminal cross-linked telopeptides of type II collagen) and PINP (procollagen type I N-propeptide) provide early, objective indicators of tissue degeneration and bone turnover, while genetic and epigenetic profiling can elucidate individual patterns of susceptibility. Point-of-care ultrasound and portable diagnostic devices have expanded real-time imaging and functional assessment capabilities across diverse clinical settings. …”
Get full text

Stereo Online Self-Calibration Through the Combination of Hybrid Cost Functions with Shared Characteristics Considering Cost Uncertainty by Wonju Lee

“…Stereo cameras and stereo matching algorithms are core components for stereo digital image correlation to obtain 3D data robustly in various environments. …”
Get full text

Effectiveness of stationary cycling with electromyographic biofeedback on neuromuscular control and function in individuals with knee osteoarthritis: a feasibility study by Chia-Ming Chang, Huynh Chung, Horng-Chaung Hsu, Li-Tzu Chen, Ruei-Yi Lin, Hsiu-Chen Lin

“…Abstract Background To evaluate the effects of stationary cycling with electromyographic (EMG) biofeedback on neuromuscular control and function in individuals with knee osteoarthritis (OA). …”
Get full text

Application of Machine Learning Methods for Identifying Wave Aberrations from Combined Intensity Patterns Generated Using a Multi-Order Diffractive Spatial Filter by Paval. A. Khorin, Aleksey P. Dzyuba, Aleksey V. Chernykh, Muhammad A. Butt, Svetlana N. Khonina

“…A multi-order combined diffraction spatial filter, integrated with a set of Zernike phase functions (representing wavefront aberrations) and Zernike polynomials, enables the simultaneous formation of multiple aberration-transformed point spread function (PSF) patterns in a single plane. …”
Get full text