Interval Economic Dispatch for Commercial Campus Integrated Energy System with Demand Response Considering Multiple Uncertainties by Xuan Sheng, Shunjiang Lin, Weikun Liang, Yue Pan, Mingbo Liu

“…To maximize DR's benefits, this paper proposes an integrated DR framework that includes direct load control for cooling loads and time-of-use for EV charging station load in the CCIES. …”
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Requirements for effective investigation and learning after suicide: the views of persons with lived experience and professionals by Elin Fröding, Charles Vincent, Boel Andersson-Gäre, Åsa Westrin, Åsa Westrin, Axel Ros

“…Competencies in suicidality, suicide prevention, and patient safety must be included in the analysis team to ensure high quality and relevance. To improve the value of these investigations, we suggest establishing a template based on current knowledge to ensure attention to variables of significance for a safe care of suicidal patients.…”
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Deep learning analysis for rheumatologic imaging: current trends, future directions, and the role of human by Jucheol Moon, Pratik Jadhav, Sangtae Choi

“…Traditional imaging techniques, including plain radiography, ultrasounds, computed tomography, and magnetic resonance imaging (MRI), play a critical role in diagnosing and monitoring these conditions, but face limitations like inter-observer variability and time-consuming assessments. Recently, deep learning (DL), a subset of artificial intelligence, has emerged as a promising tool for enhancing medical imaging analysis. …”
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An economic analysis of tidal energy to support sustainable development by Matteo Catalano, Idiano D'Adamo, Massimo Gastaldi, Marzena Smol

“…The methodology consists of a technical framework, geared toward quantifying the energy potential from that plant, and economic models based on indicators such as Net Present Value (NPV), Levelized Cost of Energy (LCOE) and Discounted Payback Time (DPBT).The results show that the plant turns out to be profitable in the base case (NPV = 573 k€ and DPBT = 21 years) and policy interventions, which see the use of capital grants and subsidies, change the results to NPV ranging between 338 and 1287 k€ and DPBT between 11 and 15 years. …”
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EMOTIONAL STATUS AND FOOD PREFERENCE STYLE: THE RESULTS OF THE EPIDEMIOLOGICAL STUDY ESSE-RF IN SAINT-PETERSBURG, SAMARA AND ORENBURG by O. P. Rotar, Е. А. Dubinina, A. V. Orlov, R. A. Libis, E. N. Isaeva, I. R. Basyrova, D. V. Duplyakov, S. A. Gudkova, V. N. Solntsev, A. N. Alyokhin, E. I. Baranova, A. O. Konradi, E. V. Shlyakhto

“…In 51,3% of participants there were increased values on anxiety score and in 30,3% — increased depression scores. …”
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Application of machine learning and genetic optimization algorithms for modeling and optimizing soybean yield using its component traits. by Mohsen Yoosefzadeh-Najafabadi, Dan Tulpan, Milad Eskandari

“…Furthermore, for the first time in this study, we allied the E-B with the genetic algorithm (GA) to model the optimum values of yield components in an ideotype genotype in which the yield is maximized. …”
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Climate adaptive energy efficiency modeling using a generalized additive approach to optimize building performance across Chinese climate zones by Jian Yang, Mu He, Xingzhu Zhang, Qimeng Ning, Yu Chen, Maryam Alsadat Ziaei Mazinan

“…Comparisons suggest GAM is a preferred method of predicting energy savings from previous years and provides good estimates on a new dataset (comparable to previous years). The CV(RMSE) value is acceptably low. Lighting upgrades and HVAC improvements are areas of best practice for energy savings, and all sectors studied achieved significant energy savings with reasonable return times on investment compared to all other studies conducted to date (examples include offices and healthcare). …”
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Acetabular Debonding: An Investigation of Porous Coating Delamination in Hip Resurfacing Arthroplasty by Eric Robinson, Dani Gaillard-Campbell, Thomas P. Gross

“…We identified implant system, postoperative time, and acetabular component placement as variables contributing to rate of debonding. …”
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Biomechanical Fuzzy Model for Analysing the Ergonomic Risk Level Associated with Upper Limb Movements by Martha Roselia Contreras-Valenzuela

“…The model quantifies the risks using 54 membership equations and incorporates nine linguistic variables organised into three sets: biomechanical: this includes applied force, moment force, and angle of the torso from vertical; anthropometric: this includes workers’ age and height and body mass index; and productivity: this includes working area depth, exposure time, and repetitiveness. …”
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Investigation of The Effect of Carvacrol Addition on The Change of Some Physicochemical and Bioactive Properties of Apple Juice Contaminated with Zygosaccharomyces bailii by Kevser Karaman, Osman Sağdıç

“…For this purpose, the response surface methodology was applied and storage time (1-41 days), storage temperature (4-20°C), sodium benzoate amount (0-0.1%) and carvacrol amount (0-750 ppm) were selected as processing variables. …”
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Agricultural Pollution as a Driver for the Ecological Status of Rivers in the Long‐Term Perspective of Nida River Assessment (Central Europe) by A. Cieplok, R. Czerniawski, A. Spyra

“…The significance of the long‐term monitoring study lies in the evolving impact of parameters on the river's ecological status, index component metrics, and MMI values. Additionally, the number of variables exhibiting a significant relationship with individual component metrics has expanded over time. …”
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Predicting Sugar Yield From Sugarcane Using Machine Learning for Jaggery Production by Kathirvel Narayanasamy, Ilayaraja Venkatachalam

“…Multiple regression models were developed and evaluated using a comprehensive dataset containing Brix values, cane juice weights, Pol values, reducing sugar content, non-sugar content, water content, water type, soil type, ratoon type, season, and cane variety. …”
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Analysis of the long-term variations in precipitation and snow depth in the northeast of Russia during the period of 1966–2014 by L.N. Vasilevskaya, Yu.V. Stochkute

“…The purpose of this study is to analyze the interannual variability of atmospheric precipitation and snow depth in the northeast of Russia (Chukotka Autonomous Okrug, Magadan Region, Eastern Yakutia) for the period of 1966–2014. …”
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The pasture-type approach for mountain pasture description and management by Giovanni Argenti, Giampiero Lombardi

“…It allowed the computation of species-specific contribution, and of sward forage value and carrying capacity, after a multivariate statistical procedure for type classification and ordination. …”
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Association Of Maternal Age And Hemoglobin Level With Apgar Score Of Newborns In A Tertiary Care Hospital Of Suburbs Of Islamabad by Muhammad Hassaan Farooq, Afnan Rizwan, Irfan Afzal Mughal, Syed Haider Raza Rizvi, Amna Faruqi, Asma Irfan

“…Cross-tabulation and logistic regression were done to see the association between dependent and independent variables. A p-value of <0.05 was statistically significant. …”
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Online grocery shopping in Catalonia: How non-targeted surveys can miss the mark by Leo Van Hove

“…Research based on such data is also liable to mismeasure the impact of explanatory variables. Design/methodology/approach: I repurpose the data of a recent survey among Catalonian consumers. …”
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A comparative approach of machine learning models to predict attrition in a diabetes management program. by Samantha Kanny, Grisha Post, Patricia Carbajales-Dale, William Cummings, Janet Evatt, Windsor Westbrook Sherrill

“…Through the various analyses, health-related measures - specifically the SF-12 quality of life scores, Distressed Communities Index (DCI) score, along with demographic factors (race, age, height, and educational attainment), and spatial variables (drive time to the nearest grocery store) emerged as influential predictors of attrition. …”
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Work Profile and Risk Factors of Presenile Cataract in the South Indian Population: A Case-Control Study by Sharmila Sundaresan, B Sharmila, Suma Elangovan, Ramya Chelliah, G Senthamarai

“…For normally distributed continuous data, for differences between the two groups, the Student’s t test was used, as was the Wilcoxon rank sum test for non-normal data and the Chi-square test for categorical variables. To look for an association between cataract and the risk factors, logistic regression was done, and the results were reported as the odds ratio, 95% confidence interval, and P value. …”
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Previous Education, Sociodemographic Characteristics, and Nursing Cumulative Grade Point Average as Predictors of Success in Nursing Licensure Examinations by Isaac Amankwaa, Anabella Agyemang-Dankwah, Daniel Boateng

“…A logistic regression model was fitted to look at the influence of the explanatory variables on the odds of passing the licensure examinations. …”
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MACROECONOMIC STABILITY AND ECONOMIC GROWTH IN CENTRAL AND EASTERN EUROPEAN COUNTRIES: EVOLUTION AND NEW CHALLENGES by Yuriy Bilenko

“…In order to analyse the data, the correlation between variables was measured. The volatility of macroeconomic indicators was gauged using the standard deviation. …”
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