Integrated Energy System Load Forecasting Based on Multi-energy Demand Response and Improved BiLSTM by ZHANG Xiaojia, WANG Can, ZHANG Jiaheng, WANG Zhen, LI Zhiwei, ZHANG Zhaoyang, GAN Youchun

“…[Results] Compared with the multiload forecasting method without considering the demand response， the mean absolute percentage error of the electricity， heat， and cooling loads was reduced by 6.59%， 13.04%， and 24.86%， respectively. …”
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Psychometric Properties of the Coparenting Relationship Scale in Ecuadorian Parents by Verónica Paredes, Andrés Ramírez, María José Rodríguez-Reyes, Luis Burgos-Benavides, Francisco Javier Herrero-Diez

“…Additionally, the ECVI was 0.623. <b>Conclusions:</b> The Coparenting Relationship Scale is a valid and reliable instrument for assessing coparenting dynamics in Ecuadorian parents, providing a solid basis for interventions and policies aimed at strengthening family well-being in Ecuador.…”
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Translation and cultural adaption of MacLeod Clark professional identity scale among Chinese therapy students. by Xiaoyi Shu, Chun Feng, Chak-Lam Ip, Xin Zhang, Nan Yang, Shibo Li, Jia Han, Weibing Wu, Alec Knight

“…Convergent validity demonstrated a strong correlation (r = 0.75) with the PISHSP.<h4>Conclusions</h4>The Chinese MCPIS-9 is a reliable and valid tool for assessing PI among therapy students. …”
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Normative data for neck muscles endurance in healthy Saudi males: foundations for precision health by Ahmad H. Alghadir, Hamayun Zafar, Talal Alghadir, Faisal Alghadir, Amir Iqbal

“…Results: The standard error of measurement (SEM) and minimal detectable change (MDC) for neck flexor muscle endurance were 16.54 seconds and 45.84 seconds, respectively. …”
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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. The degree of imperfection of the system was estimated using the curve of the detection probability of a defect by a certain monitoring system.Conclusions. …”
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Associations between Doximity internal medicine residency navigator reputation rank and publicly available metrics by Christopher R. Stephenson, Jayawant N. Mandrekar, Thomas J. Beckman, Christopher M. Wittich

“…Variables had an adjusted R2 of 0.53. Conclusions Doximity rankings were positively associated with publicly available characteristics of residency programs including higher ABIM pass rates, lower physician faculty-to-resident ratio, older program age, availability of a research rotation, and larger program size. …”
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Radar Sensor Data Fitting for Accurate Linear Sprint Modelling by Daniel Geneau, Patrick Cormier, Ming-Chang Tsai, Dana Agar-Newman, Seth Lenetsky, Marc Klimstra

“…This study evaluated five different modelling approaches, including three established methods, a third-degree polynomial, and a sigmoid function, assessing their goodness-of-fit through the root mean square error (RMSE) and coefficient of determination (r²). …”
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Swift prediction of personalized head and chest organ doses from CT examinations via neural networks with optimized quantity of hidden layers and radiomics features by Wencheng Shao, Xin Lin, Ying Huang, Liangyong Qu, Weihai Zhuo, Haikuan Liu

“…Performance was evaluated using relative root mean squared error (RRMSE) and R-squared (R2). Results: Higher RRMSE and lower R2 values are observed when fewer than 30 input radiomics features are used for head CTs and fewer than 10 for chesst CTs. …”
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Analysis of the rectifying separation of H2O–D2O mixture into light and heavy water by means of mathematical modeling by T. G. Korotkova, G. I. Kasyanov

“…However, the convergence of the material balance in terms of D2O was high and amounted to 1.38·10−6 %. The absolute error of the found concentrations in material flows did not exceed 0.12 mol %.Conclusions. …”
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SPECIFICS OF DIGITAL FILTERING MODELING FOR PRODUCTIVE DEPOSITS (BY EXAMPLE OF THE KOSHEKHABLSKOYE FIELD) by R. A. Gasumov, E. R. Gasumov

“…The model validity for the Oxford productive sediments was assessed. Conclusions: The results of an integrated interpretation of geological-geophysical and core data for modeling a productive deposit are considered. …”
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Computer vision digitization of smartphone images of anesthesia paper health records from low-middle income countries by Ryan D. Folks, Bhiken I. Naik, Donald E. Brown, Marcel E. Durieux

“…Our software digitizes checkbox data with greater than 99% accuracy and digitizes blood pressure data with a mean average error of 1.0 and 1.36 mmHg for systolic and diastolic blood pressure respectively. …”
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Prospective study on quantitative evaluation of femoral neck bone mineral density using spectral localizer radiograph from photon-counting detector CT by ZHOU Shanshui, QIN Le, CHANG Rui, DU Lianjun, YAN Fuhua, LIU Fangtao

“…Using DXA results as the reference, the median absolute percentage error of aBMD measured by SLR was 6.66% (IQR, 3.64%-9.80%). …”
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UV spectrophotometry of the Metronidazole by O. I. Panasenko, , N. V. Donchenko, A. S. Hotsulya

“…Analysis of the UV spectra of Metronidazole enables to determine a maximum of the analytical quantification of the medicine. Conclusions. Metronidazole UV spectra in water, 95% ethanol, 0,1 M solution of NaOH, 0,1 M solution of HCl and 5 M solution of H2SO4 have been studied. …”
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A Bioimpedance-Based Device to Assess the Volume Conduction Properties of the Tongue in Neurological Disorders Affecting Bulbar function by Xuesong Luo, Hilda V. Gutierrez Pulido, Seward Rutkove, Benjamin Sanchez

“…We then validated our new technology measuring a cohort of 7 healthy human subjects under Institutional Review Board approval. <italic>Conclusions:</italic> None of the subjects who participated suffered discomfort or gag reflexes. …”
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Excellent outcomes with adjuvant toremifene or tamoxifen in early stage breast cancer by Jaime D. Lewis, Anees B. Chagpar, Elizabeth A. Shaughnessy, Jacob Nurko, Kelly McMasters, Michael J. Edwards

“…Adverse events were similar in the 2 groups.Conclusions. Women treated with adjuvant hormonal therapy enjoyed excellent DFS and OS. …”
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A Methodological Research for Development and Psychometric Properties of a New Instrument for Religious Attitudes Test on Organ Donation among Muslim Population by Sakineh Rakhshanderou, Samira Daneshvar, Morteza Abdoljabbari, Marzieh latifi, Mohtasham Ghaffari

“…Furthermore, CFA of the items resulted in a suitable and good estimate based on the general fit indices of the model (root mean square error of approximation = 0.07, incremental fit index = 0.90, goodness of fit index [GFI] =0.89, comparative fit index = 0.93, adjusted GFI = 0.86). …”
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A pilot study for assessing NAO humanoid robot assistance in shoulder rehabilitation by Alessandra Raso, Martina Pulcinelli, Emiliano Schena, Alfio Puglisi, Giovanni Pioggia, Arianna Carnevale, Umile Giuseppe Longo

“…Performance was evaluated by mean absolute error (MAE) for ROM and execution time, with smoothness assessed through Log Dimensionless Jerk analysis. …”
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Determination of the enthalpy of evaporation of pentaerythritol esters of various structures using gas chromatographic retention characteristics by Yu. F. Ivanova, V. V. Emelyanov, S. V. Levanova, Yu. N. Telnov

“…The enthalpies of evaporation calculated based on the enthalpies of sorption and logarithmic retention indices within the limits of error of the correlation dependencies coincide with the literature data and the values predicted by the quantitative structure–property relationship method. …”
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Development of lesion and organ negative cast modelling technique for quality assurance and optimization of nuclear medicine images by Roberto Fedrigo, Robin J. N. Coope, Guillaume Chaussé, Ingrid Bloise, Claire Gowdy, François Bénard, Arman Rahmim, Carlos F. Uribe

“…Results Mean absolute error (MAE) for tumour volume between the original template and casted models is 13.8%, indicating that the method is reasonably accurate. …”
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Machine Learning Reconstruction of Left Ventricular Pressure From Peripheral Waveforms by Alessio Tamborini, PhD, Arian Aghilinejad, PhD, Ray V. Matthews, MD, Morteza Gharib, PhD

“…Cuff-ML-reconstructed waveforms identified abnormal systolic contractility (72% sensitivity, 73% specificity) on a beat-to-beat basis. Conclusions: Cuff-ML accurately reconstructs LV pressure from brachial cuff measurements. …”
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