On the Determination of the Output Power in Mono/Multicrystalline Photovoltaic Cells by Xia Liu, Yongqiu Liu, Mohammad Eslami

“…The estimation results are very close to the actual data based on graphical and statistical analysis. …”
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Improved EEMD Denoising Method Based on Singular Value Decomposition for the Chaotic Signal by Xiulei Wei, Ruilin Lin, Shuyong Liu, Chunhui Zhang

“…Chaotic data analysis is important in many areas of science and engineering. …”
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Study of spectral overlap and heterogeneity in agriculture based on soft classification techniques by Shubham Rana, Salvatore Gerbino, Petronia Carillo

“…The methodology focuses on the integration of three key vegetation indices: Soil-Adjusted Vegetation Index (SAVI), Modified Soil-Adjusted Vegetation Index (MSAVI), and Modified Chlorophyll Absorption in Reflectance Index (MCARI), with Modified Possibilistic C-Means (MPCM) clustering. The analysis involves preprocessing the image data, calculating the vegetation indices, and applying the MPCM algorithm to perform soft classification, allowing pixels to belong to multiple classes with varying degrees of membership. …”
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Future Precipitation Projection Based on Multiple Statistical Downscaling Methods — A Case Study of Tibetan Plateau by DONG Qianjin, YUAN Xin

“…Although the Coupled Model Intercomparison Project 6 (CMIP6) can well predict large-scale climatic factors,its effect on projecting watershed scales is still different from the measured data.The error of climate models is even bigger over the Tibetan Plateau,which is a high-altitude region with complicated terrain.Based on the historical scenario of the latest generation of high-resolution CMIP6 model and a variety of future climate emission scenarios such as SSP126,SSP245,SSP370,and SSP585,this paper conducts downscaling analysis and evaluates the projection performance of various statistical downscaling methods such as bias correction,KNN,and SDSM.On this basis,the best statistical downscaling method is used to project future precipitation over the Tibetan Plateau, and the spatial-temporal evolution characteristics of the projected precipitation are analyzed and compared with the historical precipitation over the Tibetan Plateau.The results reveal that the applicability amongst the three statistical downscaling methods in the Tibetan Plateau is large,with the linear regression downscaling method performing the best,followed by the bias correction method and the KNN analogy method.According to the analysis of future precipitation projections,the average precipitation and extreme precipitation over the Tibetan Plateau in the next 80 years will exhibit an overall upward trend,although the rise will be slight,and the spatial distribution will not change much.The results can provide a scientific foundation for the evaluation,planning,and management of water resources on the Tibetan Plateau.…”
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Validity and reliability of the Generalized Anxiety Disorder-7 (GAD-7) among university students of Bangladesh. by Tahia Anan Dhira, Mahir A Rahman, Abdur Razzaque Sarker, Jeenat Mehareen

“…A repeated cross-sectional survey design based on convenience sampling was used to collect data from 677 university students. The factor structure of the GAD-7 was assessed by exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), and its convergent validity was determined by investigating its correlations with Patient Health Questionnaire-9 (PHQ-9) and Patient Health Questionnaire Anxiety-Depression Scale (PHQ-ADS). …”
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COLLOCATIONAL PATTERNS AND SENSE RELATIONS IN THE EXPLICATION OF MEANING IN ARMAH’S NOVELS by GODWIN F. AKPAN

“…It analysed three of Armah’s novels using the theories of reader-response and discourse analysis. The data analysed were randomly selected. …”
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Physical and mechanical parameters correlated to the ripening of mangoes (Mangifera indica L.) cv. 'Tommy Atkins' by Josenara Daiane de Souza Costa, Francisco De Assis Cardoso Almeida, Acácio Figuereido Neto, Ítalo Herbert Lucena Cavalcante

“…The results were submitted to longitudinal data analysis due to the quantitative nature imposed by the harvest time factor. …”
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Detecting Botrytis Cinerea Control Efficacy via Deep Learning by Wenlong Yi, Xunsheng Zhang, Shiming Dai, Sergey Kuzmin, Igor Gerasimov, Xiangping Cheng

“…The method integrates colony growth environment data and images as network inputs, achieving real-time prediction of colony area through an improved RepVGG network. …”
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Directional Dependence of Experimental Trunk Stiffness: Role of Muscle-Stiffness Variation of Nonneural Origin by Sadok Mehrez, Hichem Smaoui

“…This is confirmed through reinterpretation of existing test data for a healthy subject, numerical simulation, and sensitivity analysis using a biomechanical model. …”
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Development of an Artificial Neural Network Model to Predict the Tensile Strength of Friction Stir Welding of Dissimilar Materials Using Cryogenic Processes by Mingoo Cho, Jinsu Gim, Ji Hoon Kim, Sungwook Kang

“…FSW experiments were conducted under a variety of conditions, and the resulting temperature data were utilized as input for a heat transfer analysis. …”
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Leveraging machine learning for duration of surgery prediction in knee and hip arthroplasty – a development and validation study by Benedikt Langenberger, Daniel Schrednitzki, Andreas Halder, Reinhard Busse, Christoph Pross

“…In the single-hospital analysis, performance on test data was MAE 10.87 min (HA) / MAE 12.53 min (KA) for XGBoost. …”
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Maximizing the scientific application of Pandora column observations of HCHO and NO₂ by P. Rawat, J. H. Crawford, K. R. Travis, L. M. Judd, M. A. G. Demetillo, L. C. Valin, J. J. Szykman, A. Whitehill, E. Baumann, T. F. Hanisco

“…To aid users in the analysis of Pandora observations, the PGN standard quality flagging procedure assigns flags to the data indicating high, medium, and low quality. …”
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Comparing the Effects of Teaching based on the Learning cycle model, Collaborative method and usual method on the level of Academic Engagement and Attitude towards Learning in Expe... by Hassan Gharibi, Saber Tabarsharafi, Shahin Rahmyan, Saba Shafaeirad

“…Also, multivariate analysis of covariance test was used to analyze the data. …”
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The Representative Points of Generalized Alpha Skew-<i>t</i> Distribution and Applications by Yong-Feng Zhou, Yu-Xuan Lin, Kai-Tai Fang, Hong Yin

“…The real-world data are widely assumed to follow the normal distribution. …”
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Deriving Ionospheric Sporadic E Intensity From FORMOSAT‐3/COSMIC and FY‐3C Radio Occultation Measurements by Tianyang Hu, Jia Luo, Xiaohua Xu

“…Smax is derived as the maximum vertical gradient of TEC disturbance, which is extracted from a RO TEC profile using the singular spectrum analysis method. Three candidate conversion models are obtained by fitting Smax with foEs observed by collocated ionosondes, and the one with the best performance, the COSMIC&FY‐3C (CF) model, is applied for deriving foEs (foEsCF) from the TEC data of the two missions jointly. …”
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FORECASTING MONTHLY RAINFALL IN PANGKEP REGENCY USING STATISTICAL DOWNSCALING MODEL WITH ROBUST PRINCIPAL COMPONENT REGRESSION TECHNIQUE by Sitti Sahriman, Anisa Anisa

“…The predictor variable data were GCM precipitation data (64 variables) for the same period and three dummy variables. …”
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Estimation of cancer incidence in the male population of the Altai Krai affected by the Semipalatinsk nuclear test by A. O. Kovrigin, V. A. Lubennikov, I. B. Kolyado, I. V. Vikhlyanov, A. F. Lazarev, Ya. N. Shoikhet

“…For a comparative analysis of the cancer incidence, the main (exposed) cohort comprised 2 291 men, and the control cohort included 4 092 men, who lived in rural settlements of municipal districts of the region and were not tracked during the first nuclear test conducted at the semipalatinsk test site. the person-time incidence rate (ptR), standard error (mptR) and confidence intervals (95 % ci) were calculated. the incidence and the relative risk of developing cancer were assessed. statistical analysis was carried out using microsoft office 2016. …”
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Translation, cross-cultural adaptation, validity, and reliability of the Indonesian version of the Oxford Shoulder Score for patients with shoulder pain by Romy Deviandri, MD, PhD, Afrianto Daud, PhD, Iman W. Aminata, MD, Putri Octarina, BMed, Nasywa D. Mecca, Hugo C. van der Veen, MD, PhD, Inge van den Akker-Scheek, MD, PhD

“…Results: Data of 100 patients could be used to determine validity, and data of 87 patients to determine test-retest reliability. …”
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Intraocular Lenses Optic Power Calculation in Extremely Short Eyes by К. B. Pershin, N. F. Pashinova, I. A. Likh, А. Yu. Tsygankov, S. L. Legkikh

“…This paper presents an analysis of our own data on the effectiveness of six formulas for calculating the IOL optical power in extremely short (less than 20 mm) eyes in comparison with the normal axial length. …”
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Response Monitoring Theta-Band Activities Across Emotional Contexts in Schizophrenia and Bipolar Spectrum Disorders by Takakuni Suzuki, Margo W. Menkes, Melvin G. McInnis, Jian Kang, Tara A. Niendam, Maureen A. Walton, Patricia J. Deldin, Ivy F. Tso, Stephan F. Taylor

“…To elucidate similarities and differences, concurrent data collection from individuals with SZ and BD across contexts is needed.…”
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