A convolutional neural network model and algorithm driven prototype for sustainable tilling and fertilizer optimization by Sajeev Magesh

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Theoretical Study of Excitonic Complexes in GaAs/AlGaAs Quantum Dots Grown by Filling of Nanoholes by Mohamed Omri, Amor Sayari, Larbi Sfaxi

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The Application and Analysis of Emotion Recognition Based on Modern Technology by Bi Lanxin

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The crystal structure of 3-nitrobenzene-1,2-dicarboxylic acid–2-ethoxybenzamide (1/1), C17H16N2O8 by Lin Shu-Ting, Huang Shen-Yang, Zou Jing, Jiang Cheng-Jun

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Local Fractional Variational Iteration and Decomposition Methods for Wave Equation on Cantor Sets within Local Fractional Operators by Dumitru Baleanu, J. A. Tenreiro Machado, Carlo Cattani, Mihaela Cristina Baleanu, Xiao-Jun Yang

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Single and Binary Adsorption Systems of Rhodamine B and Methylene Blue onto Alkali-Activated Vietnamese Diatomite by Pham Dinh Du, Huynh Thanh Danh

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Some Results on Pixley–Roy Hyperspaces by Ljubiša D. R. Kočinac, Luong Quoc Tuyen, Ong Van Tuyen

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Style and Influence: Computing Hebrews and the Early Christian Stylistic Fingerprint by Erich Benjamin Pracht, Thomas McCauley

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Feasibility of Hydrogen Energy for High-Power Aerospace Applications: A Comprehensive Assessment by Cai Zhenglin

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Mobile Toolbox sequences task: development and validation of a remote, smartphone-based working memory test by Jerry Slotkin, Aaron J. Kaat, Stephanie Ruth Young, Elizabeth M. Dworak, Miriam A. Novack, Yusuke Shono, Hubert Adam, Cindy J. Nowinski, Sarah Pila, Zahra Hosseinian, Maria Varela Diaz, Anyelo Almonte-Correa, Keith Alperin, Monica R. Camacho, Monica R. Camacho, Bernard Landavazo, Bernard Landavazo, Rachel L. Nosheny, Rachel L. Nosheny, Michael W. Weiner, Michael W. Weiner, Richard C. Gershon

“…Android) and sex assigned at birth did not significantly impact performance; however, there was a significant difference between individuals who completed college and those with a high school education or lower.ConclusionThe results support the validity of Sequences as a measure of working memory for remote self-administered use. …”
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Spirituality-based palliative care education on quality of life, death anxiety, and resilience of heart failure patients: Randomized controlled clinical trial by Roghayeh Balaghi Inaloo, Mostafa Bijani, Leila Nikrouz, Azizallah Dehghan, Abdulhakim Alkamel, Ali Taghinezhad, Zahra Khiyali

“…The majority of patients had completed high school education (50 % in the intervention group and 60 % in the control group). …”
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BEAUTY IN MATHEMATICAL EDUCATION: SYNERGETIC WORLDVIEW by V. A. Testov

“…Of special interest is the fact that the concepts of fractals, fractality and fractal geometry and fractal graphics are not included in the vast majority of high school programmes, although they have become commonly used among mathematicians and graphic designers.The aims of the article were the following: to demonstrate intersectionality and correlations of the basic concepts of symmetry and fractals from the point of view of synergetics, to establish the relevance of studying these concepts in the course of mathematics for aesthetic education of students and development of their worldview.Methodology and research methods. …”
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Assessing awareness and treatment knowledge of preventable blindness in rural and urban South African communities by Z Kiva, J E Wolvaardt

“…Most participants had completed high school. The results showed a statistically significant difference between the urban and rural participants’ knowledge about the causes of blindness: refractive error χ 2 (1, N=30) = 8.20, p<0.05, and cataract χ2 (1, N=28) = 8.64, p<0.05. …”
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Prevalence of abnormal bone mineral density and its influencing factors among adult residents in Jiangsu province: a cross-sectional survey by Weihao WANG, Huijing HE, Yaoda HU, Xingming CHEN, Tan XU, Ji TU, Ang LI, Binbin LIN, Qihang LIU, Zhiming LU, Tianshu XI, Haibo HUANG, Da XU, Zhili CHEN, Zichao WANG, Guangliang SHAN

“…Age ≥ 60 years, hypertension, and menopause were risk factors for abnormal BMD in female adults, whereas high school education and moderate physical work were protective factors. …”
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The quality of education of the Russian political elite by N. N. Meshcheryakova, O. V. Kryshtanovskaya

“…Additional factors may be important for entering the elite: capital city accommodation, participation in patron-client relations, belonging to a large corporation.Members of the elite are educated mainly in universities in the capital. The best high school graduates and the resources that families can spend on education move from the periphery to the center. …”
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Measuring the Average Peak Timing of Kinematic Variables in Youth and Adolescent Baseball Pitchers by Mark Boland, Daniel Zambanini, Ivan Mulligan, Sean Donegan

“…# Background Previous studies have examined the timing of peak kinematic variables during the pitching cycle in high school, collegiate, and professional pitchers. …”
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Factors influencing repeat blood donor lapsing in Guangzhou: based on the zero-inflated poisson regression model by KE Rongrong, XIE Guiyun, ZHENG Xiaoxiao, XU Yingying, HONG Xiaochun, LI Shijie, DENG Yongshi, SHEN Jinyu, CHEN Jinyan, OUYANG Jian

“…[Results] The zero-inflated part of ZIP showed that the risk of lapsing of male blood donors was 2.24 times that of female blood donors (OR 95% CI:1.864-2.696, P<0.001); the risk of lapsing of the 35-44 age group and over 45 age group was respectively 40% (OR 95% CI:0.455-0.790, P<0.001) and 61%(OR 95% CI:0.268-0.578, P<0.001) lower than that of the under 25 age group; the risk of lapsing for those who have donated blood twice and ≥3 times was respectively 50% (OR 95% CI:0.405-0.609, P<0.001) and 81% (OR 95% CI:0.154-0.225, P<0.001) lower than that of first-time donors; the risk of lapsing of those with junior high or high school education was 1.2 times that of those with a college degree or higher (OR 95% CI:1.033-1.384, P<0.05); the risk of lapsing for the divorced group was 2.02 times that of the married group (OR 95% CI:1.445-2.820, P<0.001); the risk of lapsing for those with an income (Yuan) of 10 000 to 50 000, 50 000 to 100 000 and more than 100 000 was respectively 0.67 (OR 95% CI:0.552-0.818, P<0.001), 0.72 (OR 95% CI:0.591-0.884, P=0.002) and 0.67 (OR 95% CI:0.535-0.834, P<0.001) times that of those with an income (Yuan) of less than 10 000. …”
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Prevalence and determinants of clustering of adverse lifestyle behaviors among 35 – 75 years old residents at high cardiovascular disease risk in Hebei province: an analysis of dat... by Yuejing QIAO, Yuhuan LIU, Lijuan TANG, Dongsheng JIANG, Xiaoli LIU, Ze CUI

“…Multivariate unconditional logistic regression analysis revealed that being aged 45 – 64 years and having an agricultural household registration were risk factors for clustering of adverse lifestyle behaviors, but being female, having a junior high school education and above, having an annual household income of more than 25 000 Chinese yuan, being a laborer/private/commercial service worker/retired person/housewife/unemployed/and having other occupation were protective factors against the clustering for the residents. …”
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Descriptive Strength and Range of Motion in Youth Baseball Players by Ross M Nakaji, Todd S Ellenbecker, Kevin M McClenahan, Lianna M Roberts, Chase Perez, Scott B Dickenson

“…These data show sport specific adaptations occur at very young ages (5-12) and are similar to prior reports on adolescent, high school and professional baseball players regarding upper extremity ROM and rotator cuff strength…”
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Determination of Seroprevalence and Risk Factors of Crimean–Congo Haemorrhagic Fever (CCHF) in the Endemic Region in Turkey: A Population-Based Cross-Sectional Study by Rıza Çıtıl, Mücahit Eğri, Yalçın Önder, Fazilet Duygu, Yunus Emre Bulut, Özkan Yaşayancan, Nagehan Yıldız Çeltek, Şafak Şahin

“…Seropositivity rates in terms of adjusted odds ratios (AOR) were higher 2.53 times (95% CI: 1.57–4.08; p=0.001) in males; 4.05 (95% CI: 2.14–7.65; p<0.001) in age group ≥65; 0.33 (95% CI: 0.14–0.76; p<0.001) in graduates of high school and above; 0.71 (95%CI: 0.33–1.52; p<0.001) in ones with good income; 1.84 (95%CI: 1.18–2.86; p<0.001) in farmers; 1.64 (95% CI: 1.04–2.27; p<0.001) in people dealing with animal husbandry; and 1.02 (95% CI: 1.03–2.29; p<0.001) in those with history of tick contact. …”
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