bluuebunny/crossref_metadata_2025_split huggingface dataset:
NOMOFOMO in the health of the Smartphone User for the New Normal: a contribution to the Social Media Health Interaction Theory
Authors: Mejía-Trejo Juan 
Published: May 2022

Purpose. The paper is aimed to explain how the NOMOFOMO proposal framework, composed of social media innovations acceptance (SMA), “nomophobia” (NMF), and “fear of missing out” (FOM), interacts with smartphone health user repercussions (HRP), contributing to profile social media health interaction theory (SMT).
Methodology. It is based on a literature review defining a final questionnaire survey to 431 smartphones users (Jun-Aug-2021) with PLS-SEM analysis.
Results. SMA Socialization and Education dimensions, and HRP like pain and movement extremely slowly appearing face like upset or sad, anxiety and anger as central affections.
Originality. The framework gathers four empirically proved separately constructs.
The Relationship between Stock Market and Economic Growth in Nigeria: VAR Granger Approach
Authors: Bako Yusuf Adebola , Isiaka Najeem Ayodeji 
Published: May 2022

This study investigated the relationship between stock market and economic growth in Nigeria, covers the period of 20years between 2000 and 2019. Data on market capitalization, all share indexes, value of shares, Treasury bill rate and inflation were considered and gathered from CBN Statistical Bulletin, 2019. Ordinary Least Square method was employed and data were analyzed with the aid of Eview 09. The result revealed that market capitalization proxied for stock market have a positive relationship and statistically significant to influence economic growth at 82% magnitude. However, Treasury bill rate, value of shares, all share indexes and inflation rate have no significant impact on economic growth. Also, VAR-Granger causality revealed that there is no long-run relationship between the variables in the model due to the scope of the data. It was further shows that market capitalization, treasury bill rate , value of shares, all share indexes and inflation rate do not granger cause or have causal relationship with economic growth except GDP that influences the treasury bill rate and value of shares. Based on the findings, it was concluded that if stock market is well managed and improve on their activities, it contributes significantly to the Nigerian economy. Therefore, the study recommends that monetary authority should implement a policy that will boost stock market and increase the Treasury bill rate for attracting more investors.
The Effect of Firm Size and Leverage on Profit Management With Ownership Structure as a Moderating
Authors: Rely Gilbert 
Published: May 2022

This study aims to examine and analyze the effect of firm size and leverage on earnings management with ownership structure as moderating. The sample used is 54 manufacturing firms listed on the Indonesia Stock Exchange for 2015-2017 period, using multiple regression analysis and to measure hypotheses is SPSS 24. The study results are (1) firm size has a positive and not significant effect on earnings management. (2) Leverage has a positive effect on earnings management. (3) Managerial ownership has a negative effect on earnings management. (4) Institutional ownership has a negative and insignificant effect on earnings management. (5) Managerial ownership strengthens the influence of firm size on earnings management. (6) Institutional ownership does not strengthen the influence of firm size on earnings management. (7) Managerial ownership weakens the influence of leverage on earnings management. (8) Institutional ownership weakens the influence of leverage on earnings management.
Machine Learning Methods for the Prediction of Abraded Butadiene-Styrene Rubber Surface Roughness
Authors: MAČĖNAITĖ Loreta , LUGAS Dovydas , FATARAITĖ-URBONIENĖ Eglė 
Published: May 2022

The aim of this investigation was to evaluate the ability to predict the roughened surface area of soft polymeric materials using the machine learning method. Random forest and extremely random forest machine learning methods have been applied to predict roughened monolithic butadiene styrene rubber surface area based on the grain diameter of the abrasive paper. It was found that there is a very strong negative correlation between surface roughness and abrasive grain diameter (the Pearson correlation coefficient is equal to - 0.83 and the Spearman correlation coefficient is equal to - 0.91). The statistics of Shapiro-Wilk criteria confirmed that independently of the diameter of abrasive grain, the lengths of rubber surface profiles are normally distributed. It was determined that random forest and extremely random forest algorithms are suitable tools for predicting rubber surface area in dependence on abrasive grain diameter. The forest structure in which results obtained best coincidence with the observed (R2 = 0.95): for the random forest model the number of trees is equal to 20, the leaf size is equal to 4, at the subset of the feature (abrasive paper grain diameter) equal to 1. In the case of an extremely random forest, the number of trees is equal to 350, the size of the subset of the features is equal to 1, and the leaf size is 2. The experimental and generated results agree well. The relative approximation error does not exceed 0.079 %.
Antidiabetic effect of Atriplex halimus long and short term treatment against streptozotocin induced diabetes in rats
Authors: Bounouar Elaid , Missoun Fatiha , Amari Nesrine Ouda , Belabaci Fatima Zohra , Belabaci Senia , Sekkal Fatima Zohra , Djebli Noureddine 
Published: May 2022

El objetivo fue evaluar la actividad antidiabética de hojas de Atriplex halimus en ratas diabéticas modelo. Para evaluar se utilizó la glicemia, pérdida de peso, volumen de consumo de agua, parámetros bioquímicos. estudio histológico. Las investigaciones fitoquímicas indican la presencia de flavonoides, taninos, saponinas, mucílagos, glucósidos. proteínas. Los resultados muestran que el tratamiento con extracto acuoso de A. halimus presenta reducción significativa de los niveles de glucosa en sangre en ratas de los grupos D100. D200, en comparación con el grupo diabético,. protege. las ratas de complicaciones diabéticas. El estudio histológico del páncreas lo confirman por la mejora en los islotes de Langerhans de rata tratada con este extracto vegetal. Atriplex halimus parece ser una planta prometedora para futuros ensayos preclínicos. clínicos en la diabetes de tipo I.
The aim of the present study was to evaluate the anti-diabetic activity of Atriplex halimus leaves in diabetic model rats. Glycaemia, weight loss, volume of water consumption, biochemical parameters and histological study were used to evaluate the anti-diabetic activity. Phytochemicals investigations indicate the presence of: Flavonoids, tannins, saponins, mucilages, glycosides and proteins. Findings show that the treatment with A. halimus aqueous extract presents. significant reduction of blood glucose levels in rats of groups D100 and D200 compared with diabetic group and protect rats from diabetic complications. These results were confirmed by the histological study in pancreas which indicate improvement in Islets of Langerhans of rat treated with this plant extract. Atriplex halimus appears to be. promising plant for further preclinical and clinical trials in type 1 diabetes.
Adicción a las redes sociales y la procrastinación académica en adolescentes peruanos en tiempos de coronavirus Covid-19
Authors: Yana-Salluca Marisol , Adco-Valeriano Diana Yaneth , Alanoca-Gutierrez Rebeca , Casa-Coila Manuela Daishy 
Published: May 2022

The aim of this study was to determine the relationship between social network addiction and academic procrastination in times of coronavirus (COVID-19) in regular basic education (RBE) students of a public educational institution (IE) in Peru. The population consisted of 1,255 students of both sexes, between 12 and 17 years of age, and non-probabilistic, convenience-induced sampling was used. The SPSS V.25 program was used for statistical analysis; also, two questionnaires with a validity and reliability greater than 90 were applied. However, Somers' Gamma and D coefficients were also used to detect the degree and direction of association. The results show a high and highly significant correlation between social network addiction and academic procrastination (r=0.710; p=0.01). As described above, addiction has had an increase in confinement times corresponding to increased procrastination.
El objetivo de este estudio fue determinar la relación entre la adicción a las redes sociales y la procrastinación académica en tiempos de coronavirus (COVID-19) en los estudiantes de educación básica regular (EBR) de una institución educativa (IE) pública de Perú. La población estuvo conformada por 1.255 estudiantes de ambos sexos, de entre 12 a 17 años de edad, y se configuró el muestreo no probabilístico, inducido por conveniencia. Se utilizó, para el análisis estadístico, el programa SPSS V.25; asimismo, se aplicó dos cuestionarios con una validez y confiabilidad mayor a 90. No obstante, también se utilizó los Coeficientes de Gamma y D de Somers para detectar el grado y sentido de asociación. Los resultados muestran una correlación alta y muy significativa entre la adicción a las redes sociales y la procrastinación académica (r=0.710; p=0.01). Por lo descrito, la adicción ha tenido un aumento en tiempos de confinamiento correspondiéndole una mayor procrastinación.
Growth‐Mixture Models
Authors: Bruckers Liesbeth , Molenberghs Geert 
Published: May 2022

Abstract
Clustering is a technique used to explore data for a structure of natural groupings. Cluster analyses were originally developed for multivariate data. However, techniques such as hierarchical and partitioning cluster algorithms are less adequate when clusters need to be discovered in data exhibiting complex structures. This article describes a model‐based cluster technique, using growth‐mixture models, and illustrates how this model can be used to cluster profiles or longitudinal data.
Statistical Methods for Electrical Consumption
Authors: Keller Merlin 
Published: May 2022

Abstract
In this article, we review some of the main trends in building energy modeling and forecast and the challenges they raise in terms of statistical analysis. These can roughly be classified according to when the modeling takes place within the building's life cycle, as well as on the complexity of the computer code implementing the physical model. More precisely, we discuss two main applications of building energy modeling: design and retrofit analysis, which take place, respectively, before and several years after actual building construction. Although both tasks have different goals and are based on different levels of available information, we show that they are in fact instances of the same statistical methodology, namely computer code validation. We then review this active field of research, pointing to issues that are specific to building energy modeling, and conclude with a discussion on the perspectives opened by the need for evermore robust uncertainty quantification in energy forecasting.
Water‐Resistant Lead‐Free Perovskitoid Single Crystal for Efficient X‐Ray Detection
Authors: Ma Chuang , Li Haojin , Chen Ming , Liu Yucheng , Zhao Kui , Liu Shengzhong (Frank) 
Published: May 2022

AbstractDespite the rapid progress of hybrid organic–inorganic halide perovskites in optoelectronic applications, their water resistance is still limited because of the interaction of both the organic and inorganic components with water molecules. In this study, a cation engineering protocol to obtain a material with inherent high water resistance by incorporating benzamidinium (BAH) cations into the bismuth halide framework is developed. Analysis of the crystal structure indicates that (BAH)BiI4 exhibits a molecular 1D perovskitoid structure with an edge‐sharing mode and strong noncovalent interactions within the crystal, including I•••I interaction, hydrogen bonding, and π–π stacking between adjacent BAH cations. Such strong noncovalent interactions provide excellent water resistance, with negligible decomposition of crystals during water soaking for two months. The feasibility of the (BAH)BiI4 crystal for X‐ray detection, with a sensitivity as high as 1181.8 µC Gyair−1 cm−2 and a detection limit below 77 nGyair s−1 under 50 V bias is further demonstrated. Such good values are due mainly to efficient charge transport along the π–π stacking between neighboring BAH cations and I•••I interactions between adjacent inorganic chains. These findings provide a new approach to improve the water resistance of perovskite/perovskitoid optoelectronic devices.
Magnetically Enhanced Marangoni Convection for Efficient Mass and Heat Transfer like a Self‐Driving Liquid Conveyor Belt
Authors: Zhang Hang , Lin Feng , Liu Laichen , Tong Tian , Li Runjia , Zhong Hong , Chen Zhongchen , Qin Chengzhen , Wang Qiaozhen , Qi Yu , Wu Changjin , Tong Xin , Yu Peng , Sun Ke , Liu Dong , Bao Jiming , Wang Zhiming 
Published: May 2022

AbstractTemperature gradient‐induced Marangoni convection has attracted much attention for basic research and applications since it provides an effective means for mass and heat transfer through a liquid surface flow. Here the authors first propose a general principle to enhance such surface flow by hindering its transition to recirculation flow using an external field. They subsequently identify ferrofluid and use it validate the principle since its reduced magnetic susceptibility at higher temperatures will make the heated surface liquid stay on the surface by a thermomagnetic body force. Using a laser beam to create a heated local surface and a magnet beneath the ferrofluid to provide a vertical field, a high speed and long‐range Marangoni flow is confirmed experimentally and further supported by computational fluid dynamics simulations. To demonstrate possible applications, the authors show a self‐driving pipeless liquid conveyor belt that can efficiently transfer heat from a source to sink without external power. The demonstration of enhanced Marangoni convection opens new avenue to explore interfacial fluid dynamics and its wide applications.
A Unique Fe–N4 Coordination System Enabling Transformation of Oxygen into Superoxide for Photocatalytic CH Activation with High Efficiency and Selectivity
Authors: Xiao Xudong , Ruan Zhoushilin , Li Qi , Zhang Liping , Meng Huiyuan , Zhang Qun , Bao Hongliang , Jiang Baojiang , Zhou Jing , Guo Chuanyu , Wang Xiaolei , Fu Honggang 
Published: May 2022

AbstractSelective oxidation of CH bonds is one of the most important reactions in organic synthesis. However, activation of the α‐CH bond of ethylbenzene by use of photocatalysis‐generated superoxide anions (O2•−) remains a challenge. Herein, the formation of individual Fe atoms on polymeric carbon nitride (CN), that activates O2 to create O2•− for facilitating the reaction of ethylbenzene to form acetophenone, is demonstrated. By utilizing density functional theory and materials characterization techniques, it is shown that individual Fe atoms are coordinated to four N atoms of CN and the resultant low‐spin Fe–N4 system (t2g6eg0) is not only a great adsorption site for oxygen molecules, but also allows for fast transfer of electrons generated in the CN framework to adsorbed O2, producing O2•−. The oxidation reaction of ethylbenzene triggered by O2•− ions turns out to have a high conversion rate of 99% as well as an acetophenone selectivity of 99%, which can be ascribed to a novel reaction pathway that is different from the conventional route involving hydroxyl radicals and the production of phenethyl alcohol. Furthermore, it possesses great potential for other CH activation reactions besides ethylbenzene oxidation.
The Transformation from Translucent into Transparent Rare Earth Ions Doped Oxyfluoride Glass‐Ceramics with Enhanced Luminescence
Authors: Li Zhencai , Chen Chunying , Shen Weihui , Zhou Dacheng , Jensen Lars R. , Qiao Xvsheng , Ren Jinjun , Du Jincheng , Zhang Yanfei , Qiu Jianbei , Yue Yuanzheng 
Published: May 2022

AbstractIt is known that the optical transparency of an oxide glass decreases with an increase in the size and fraction of crystals in the glass during heat‐treatment. Here, the authors report an opposite scenario, where a translucent Er3+−Yb3+ doped oxyfluoride precursor glass‐ceramic (P‐GC) becomes transparent with increasing crystal size and crystallinity. Specifically, in the heat‐treated P‐GC samples, the authors observe that the growth of the existing Ba2LaF7 crystals and particularly the formation of small spherical Ba2LaF7 crystals greatly enhanced the light transmittance. To reveal the origin of this anomalous phenomenon, the authors perform detailed morphology and structure analyses on both P‐GC and the heat‐treated P‐GC samples and molecular dynamics simulations of the precursor glass. The results show that the composition of the residual glass phase is altered (e.g., depletion of La3+) in the way that the differences in refractive index between the glass matrix and the crystals are greatly reduced. As a consequence, the light scattering of the heat‐treated P‐GC is suppressed, and hence, the derived P‐GC becomes transparent. In addition, a proper heat‐treatment can also enhance the luminescence of the studied P‐GC system.
Stokes Shift Engineered Mn:CdZnS/ZnS Nanocrystals as Reabsorption‐Free Nanoscintillators in High Loading Polymer Composites
Authors: Carulli Francesco , Cova Francesca , Gironi Luca , Meinardi Francesco , Vedda Anna , Brovelli Sergio 
Published: May 2022

AbstractPlastic scintillators are gaining attention as alternatives to inorganic scintillator crystals owing to their low fabrication cost, customable shape/size, and substantially lighter weight that make them suitable for various radiation detection technologies. These include scintillation panels for national security and industrial monitoring, radiation screens for medical diagnostics, and calorimeters for high energy physics. Because of their low density, plastic scintillators are typically doped with high atomic number (Z) sensitizers that enhance the interaction probability with ionizing radiation and excite molecular emitters. Although effective, such a two‐component design suffers from incomplete sensitization, intrinsically limited efficiency due to multiple radiative steps with non‐unity quantum yield, detrimental phase segregation effects and the fragility of organic emitters to ionizing radiation. In this work, an alternative single‐component scheme is proposed based on high‐Z reabsorption‐free CdZnS/ZnS semiconductor nanocrystals (NCs) doped with manganese embedded in a polyvinyltoluene (PVT) waveguide. Optical‐grade nanocomposites free from optical reabsorption of the scintillation light and with performance comparable to commercial products are obtained through a post‐synthesis resurfacing procedure that maximizes the compatibility between the NCs and PVT and preserves their optical properties upon curing.
Asymmetric Organocatalyzed Friedel–Crafts Reaction of Trihaloacetaldehydes and Phenols
Authors: Svestka David , Otevrel Jan , Bobal Pavel 
Published: May 2022

AbstractHerein we report the asymmetric organocatalyzed method for the Friedel–Crafts reaction between activated phenols and trihaloacetaldehydes. A three‐phase screening including 41 compounds was employed to identify a catalyst structure based on 3,5‐dinitrobenzamide of 9‐amino‐epi‐cinchonidine as the lead catalytic molecule. Under the optimized reaction conditions, the above catalyst offered trihalohydroxyalkylated adducts in yields ranging from 26 to 92% and enantiomeric ratios within 69:31–99:1. The reaction scope was determined on 29 entries and several follow‐up transformations of the enantioenriched products were accomplished.magnified image
Data‐Driven Investigation of the Synthesizability and Bandgap of Double Perovskite Halides
Authors: Kim Joonchul , Min Kyoungmin 
Published: May 2022

AbstractDouble perovskite halide materials have been widely used in batteries, light‐emitting diodes, and solar cells. Thus, investigations of the fundamental properties of the double perovskite halide to search for an ideal structure are crucial. In this study, a surrogate model is developed to predict the formation energy, convex hull energy, and bandgap of A2BB′X6 type double perovskite halide structures. The material properties of 13 542 candidate structures are predicted and validated through first‐principles calculations. Without double perovskite halide information during training, the prediction accuracy for the formation energy is obtained as an R‐squared value of 0.770 and Root Mean Square Error (RMSE) of 0.404 eV atom−1. For the convex hull energy, an accuracy of 0.642 is obtained. For the bandgap, R‐squared score of 0.427 and an RMSE of 1.235 eV are achieved. Furthermore, the optimization process confirms that adding only 850 (6%) double perovskite halide structures to the training set increases the R‐squared value to 0.90 for the formation energy. In the bandgap, more data are needed; 3550 data (68.2%) are added to achieve an R‐squared score of 0.9. The current study successfully predicts the fundamental properties of double perovskite halides for the accelerated discovery of ideal structures.
Quantitative comparison of the storage protein distribution in glandless and glanded cottonseeds
Authors: He Zhongqi , Zhang Dunhua , Mattison Christopher P. 
Published: May 2022

AbstractGlanded (Gd) cottonseed (Gossypium hirsutum L.) contains scattered gossypol glands. Glandless (Gl) cottonseed is a new type of seed containing only trace levels of gossypol. This work quantitatively compared the content and migration pattern of Gd and Gl protein isolates. Both protein samples were subjected to sodium dodecyl sulfate (SDS)‐gel electrophoresis, and the protein gel bands were separated into seven partitions for peptide mass spectroscopic analysis. While multiple peptide fragments (isoformers) of vicilin and legumin proteins were present in both samples, the percentage of vicilins in total seed protein was higher in Gd (74.9%) than in Gl (63.4%). In contrast, legumin proteins were more abundant in Gl (30.4%) than Gd (23.6%). Minor protein components such as lipid‐related oleosins and vicilin‐like antimicrobial peptides 2‐2 were also observed at a relatively higher incidence in Gl compared with Gd, potentially reflecting a need for increased protein‐related defense capability in the absence of gossypol against natural predators or adverse growth environment.
SnS2 Microsheets for Optical Supramolecular Generation
Authors: Zhang Dan , Lu Guangliang , Qiu Yang , Qin Siqi , Wang He , Jiang Jiangang , Zhou Wenquan , Zhang Ping , An Hongchang , Li Xiaohui 
Published: May 2022

AbstractMulti‐pulse soliton molecules are observed in passively mode‐locked fiber lasers by using 2D layered metal dichalcogenides (LMDs) as a saturable absorber. LMD has attracted significant attention in photonics and optoelectronics in which tin disulfides (SnS2) are implemented for energy storage, photo‐catalysts, and transistor. However, the applications of SnS2 in optoelectronics fields are quite rare. Soliton supramolecules are the self‐assembly of optical solitons into highly‐ordered supramolecular structures which have not been experimentally observed due to the absence of techniques for controlling the inter‐soliton forces. In this article, SnS2 LMDs are successfully applied in a passively mode‐locked fiber laser. It is confirmed that the proposed fiber laser has a center wavelength of 1561.5 nm, a 3‐dB spectral width of 2.45 nm, signal‐to‐noise ratio of 63 dB, and a radiofrequency of 7.2 MHz. The different interiors of the second‐order, third‐order, and ninth‐order bound state of solitons in the cavity are investigated. Furthermore, it is found that numbers of optical solitons self‐assembled into highly ordered supramolecular structures in a passively mode‐locked fiber laser for the first time. The bound state between the six supramolecular soliton units is obtained experimentally and theoretically which have potential applications in ultrafast laser‐field manipulation and optical information storage because of special interactions between pulses.