bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluación del Desempeño Docente en el Aula desde la Perspectiva del Estudiante de la Licenciatura en Sistemas Computacionales de la Universidad Autónoma de Nayarit
Authors: Aguilar Navarrete P. , Benítez Cortés R. P. , Cruz Sánchez E. , Camacho González M. F. Y. , Torres Covarrubias V. J. 
Published: October 2021

En este trabajo se exponen resultados de dos evaluaciones del desempeño docente en el aula de los profesores de la Licenciatura en Sistemas Computacionales de la Universidad Autónoma de Nayarit. La evaluación tuvo como propósito el diseño y aplicación de un instrumento específico dirigido a recuperar información para la mejora continua de la práctica docente en el aula. El instrumento de recolección de datos se integró por 4 categorías correspondientes a indicadores de calidad del quehacer docente en el aula. Los resultados muestran que la mayoría de los docentes se ajustan a los criterios de las 4 categorías evaluadas, pero los hallazgos también indican que algunos profesores trabajan aún con un modelo tradicional que va desde criterios unilaterales de evaluación hasta pocas o nulas oportunidades que permitan potenciar el rendimiento de los estudiantes.
This paper presents results of two evaluations of teacher performance in the classroom of teachers of the Degree in Computer Systems of the Universidad Autónoma de Nayarit. The purpose of the evaluation was to design and implement a specific instrument aimed at retrieving information for the continuous improvement of teaching practice in the classroom. The instrument was integrated by 4 categories corresponding to indicators of quality of the teaching task in the classroom. The results showed that most teachers meet the criteria of the four categories evaluated, but the findings also indicate that some teachers still work with a traditional model that ranges from unilateral evaluation criteria to few or no opportunities to enhance the performance of students.
Cobertura del nuevo Plan de Estudios para el Ingeniero de Software de la UADY: Un Análisis desde la óptica de la ANIEI
Authors: Aguilar Vera Raúl A. , Díaz Mendoza Julio C. , Ucán Pech Juan P. , Aguileta Güemez Antonio A. 
Published: October 2021

En este artículo se presenta un análisis para la cobertura del nuevo Plan de Estudios de la Licenciatura en Ingeniería de Software de la Universidad Autónoma de Yucatán (UADY), respecto de los Modelos curriculares propuestos por la Asociación Nacional de Instituciones de Educación en Tecnologías de Información (ANIEI). Del análisis se pudo identificar la dificultad de establecer equivalencias al medir el esfuerzo de aprendizaje de los estudiantes en horas presenciales y no presenciales, con respecto al plan de enseñanza diseñado por los profesores para los alumnos, definido en horas teóricas y prácticas. El artículo presenta fortalezas y debilidades del Plan de Estudios, en relación con la cobertura de las áreas de conocimiento consideradas en los modelos de la ANIEI, en particular, en el perfil “B” que se corresponde con el de Ingeniero de Software.
This article presents an analysis for the coverage of the new Curriculum Models of the Bachelor in Software Engineering of the Autonomous University of Yucatan (UADY), regarding the Curricular Models proposed by the National Association of Information Technology Education Institutions (ANIEI). From the analysis, it was possible to identify the difficulty of establishing equivalences when measuring the learning effort of the students in face-to-face and non-face-toface hours, with respect to the teaching plan designed by the teachers for the students, defined in theoretical and practical hours. Also, the article presents strengths and weaknesses of the Curriculum, in relation to the coverage of the areas of knowledge considered in the ANIEI models, in particular, in the "B" profile corresponding to that of Software Engineer.
The Effect of Coping Strategy on Academic Procrastination in Completing Student Assignments
Authors: Rusmaniar Rusmaniar , Indra Syaiful , NK Mahdi , Sujadi Eko 
Published: October 2021

Abstract. Terdapat dua faktor utama yang mempengaruhi prokrastinasi yaitu faktor internal dan eksternal. Faktor internal adalah faktor-faktor yang berasal dari individu yang turut membentuk prilaku prokrastinasi yang meliputi faktor fisik dan psikologis. Faktor eksternal yaitu faktor yang berasal dari luar individu dapat berupa tugas yang banyak (overloaded tasks) yang menuntut penyelesaian yang hampir bersamaaan. Hal ini diperparah apabila lingkungan mendukung prokrastinasi. Pelaku prokrastinasi (prokrastinator) cenderung melakukan prokrastinasi karena adanya rasa takut akan gagal, tidak suka pada tugas yang diberikan, menentang dan melawan kontrol, mempunyai sifat ketergantungan dan kesulitan membuat keputusan. Tujuan penelitian ini adalah untuk mengetahui strategi coping terhadap prokrastinasi akademik mahasiswa dalam menyelesaikan tugas perkuliahan. Pendekatan dalam penelitian ini adalah kuantitatif dengan jumlah responden 84 orang mahasiswa Bimbingan dan Konseling Islam angkatan 2016. Dalam penelitian ini mengunakan alat ukur berupa skala strategi coping dan skala prokrastinasi akademik dengan metode analisis regresi sederhana berganda dengan hasil koefisien korelasi problem focused coping yakni -1,189 dan p = 0,000 (p<0,05). Sedangkan emotional focused coping yaitu -089 p = 0,611 (p˃0,05). Problem focused coping Berpengaruh negatif artinya Semakin efektif penggunaan problem focused coping, maka prokrastinasi akademik semakin rendah. Sebaliknya apabila semakin tidak efektifnya penggunaan strategi problem focused coping, maka prokrastinasi akademik akan semakin tinggi. Koefisien determinasi menunjukkann problem focused coping secara simultan dapat menjelaskan perubahan prokrastinasi akademik sebesar 18,47%.
Pengembangan Bahan Ajar Berbasis RME
Authors: Putri Dini Palupi 
Published: October 2021

Penelitian Pengembangan ini mengembangkan bahan ajar berbasis Realistic Mathematic Education untuk mahasiswa semester III pada mata kuliah Matematika SD/MI Program Studi Pendidikan Guru Madrasah Ibtidaiyah. Tujuan pembelajaran matematika ialah agar mahasiswa mahir dalam kemampuan matematis, untuk mendukung hal itu perlu media yang baik, salah satu nya bahan ajar. Persepsi mahasiswa terhadap bahan ajar yang digunakan selama ini belum menuntun perkembangan kemampuan matematis mahasiswa. Mahasiswa menilai bahan ajar belum memuat konteks pembelajaran untuk membangun pengetahuan awal dan mengaitkan materi dengan pengalaman sehari, hari. Untuk itu dosen dan mahasiswa membutuhkan bahan ajar yang mudah, praktis dan efisien untuk mengembangkan kemampuan matematis. RME merupakan suatu pendekatan yang aktifitas nya lebih menenkankan konteks dan interaktivitas mahasiswa dalam mengembangkan kemampuan matematis. Konsep yang terdapat dalam bahan ajar dihubungkan dengan pengalaman kehidupan sehari-hari. Bahan ajar yang dikembangkan berdasarkan hasil persepsi dan kebutuhan dosen dan mahasiswa, kemudian divalidasi oleh para pakar, selanjutnya revisi berdasarkan saran dari validator
Perbandingan Pengaruh Profitabilitas Leverage dan Pertumbuhan Perusahaan Terhadap Nilai Perusahaan
Authors: Nadiyasari Nadiyasari , Gantino Rilla 
Published: October 2021

Penelitian ini bertujuan untuk menganalisis tentang pengaruh profitabilitas, leverage
dan pertumbuhan perusahaan terhadap nilai perusahaan. Profitabilitas diukur dengan
ROA , Leverage diukur menggunakan DER dan pertumbuhan perusahaan diukur
menggunakan sales growth. Metode statistik yang digunakan adalah analisis regresi
linier berganda. Populasi dalam penelitian ini adalah perusahaan sub sektor
pertambangan batu bara dan sub sektor pertambangan minyak mentah dan gas alam
yang terdaftar di Bursa Efek Indonesia periode 2015 – 2019 terdiri dari 31 sampel
dengan menggunakan teknik sampling jenuh. Hasil penelitian ini menunjukkan bahwa
profitabilitas, leverage dan pertumbuhan perusahaan secara simultan berpengaruh
signifikan terhadap nilai perusahaan pada sub sektor pertambangan batu bara.
Sedangkan pada perusahaan sub sektor pertambangan minyak mentah dan gas alam
bahwa profitabilitas, leverage dan pertumbuhan perusahaan secara simultan tidak
berpengaruh signifikan terhadap nilai perusahaan.
Growth and eGFP Production of CHO-K1 Suspension Cells Cultivated From Single Cell to Laboratory Scale
Authors: Schmitz Julian , Hertel Oliver , Yermakov Boris , Noll Thomas , Grünberger Alexander 
Published: October 2021

Scaling down bioproduction processes has become a major driving force for more accelerated and efficient process development over the last decades. Especially expensive and time-consuming processes like the production of biopharmaceuticals with mammalian cell lines benefit clearly from miniaturization, due to higher parallelization and increased insights while at the same time decreasing experimental time and costs. Lately, novel microfluidic methods have been developed, especially microfluidic single-cell cultivation (MSCC) devices have been proved to be valuable to miniaturize the cultivation of mammalian cells. So far, growth characteristics of microfluidic cultivated cell lines were not systematically compared to larger cultivation scales; however, validation of a miniaturization tool against initial cultivation scales is mandatory to prove its applicability for bioprocess development. Here, we systematically investigate growth, morphology, and eGFP production of CHO-K1 cells in different cultivation scales ranging from a microfluidic chip (230 nl) to a shake flask (125 ml) and laboratory-scale stirred tank bioreactor (2.0 L). Our study shows a high comparability regarding specific growth rates, cellular diameters, and eGFP production, which proves the feasibility of MSCC as a miniaturized cultivation tool for mammalian cell culture. In addition, we demonstrate that MSCC provides insights into cellular heterogeneity and single-cell dynamics concerning growth and production behavior which, when occurring in bioproduction processes, might severely affect process robustness.
AI-Model for Identifying Pathologic Myopia Based on Deep Learning Algorithms of Myopic Maculopathy Classification and “Plus” Lesion Detection in Fundus Images
Authors: Lu Li , Ren Peifang , Tang Xuyuan , Yang Ming , Yuan Minjie , Yu Wangshu , Huang Jiani , Zhou Enliang , Lu Lixian , He Qin , Zhu Miaomiao , Ke Genjie , Han Wei 
Published: October 2021

Background: Pathologic myopia (PM) associated with myopic maculopathy (MM) and “Plus” lesions is a major cause of irreversible visual impairment worldwide. Therefore, we aimed to develop a series of deep learning algorithms and artificial intelligence (AI)–models for automatic PM identification, MM classification, and “Plus” lesion detection based on retinal fundus images.Materials and Methods: Consecutive 37,659 retinal fundus images from 32,419 patients were collected. After excluding 5,649 ungradable images, a total dataset of 32,010 color retinal fundus images was manually graded for training and cross-validation according to the META-PM classification. We also retrospectively recruited 1,000 images from 732 patients from the three other hospitals in Zhejiang Province, serving as the external validation dataset. The area under the receiver operating characteristic curve (AUC), sensitivity, specificity, accuracy, and quadratic-weighted kappa score were calculated to evaluate the classification algorithms. The precision, recall, and F1-score were calculated to evaluate the object detection algorithms. The performance of all the algorithms was compared with the experts’ performance. To better understand the algorithms and clarify the direction of optimization, misclassification and visualization heatmap analyses were performed.Results: In five-fold cross-validation, algorithm I achieved robust performance, with accuracy = 97.36% (95% CI: 0.9697, 0.9775), AUC = 0.995 (95% CI: 0.9933, 0.9967), sensitivity = 93.92% (95% CI: 0.9333, 0.9451), and specificity = 98.19% (95% CI: 0.9787, 0.9852). The macro-AUC, accuracy, and quadratic-weighted kappa were 0.979, 96.74% (95% CI: 0.963, 0.9718), and 0.988 (95% CI: 0.986, 0.990) for algorithm II. Algorithm III achieved an accuracy of 0.9703 to 0.9941 for classifying the “Plus” lesions and an F1-score of 0.6855 to 0.8890 for detecting and localizing lesions. The performance metrics in external validation dataset were comparable to those of the experts and were slightly inferior to those of cross-validation.Conclusion: Our algorithms and AI-models were confirmed to achieve robust performance in real-world conditions. The application of our algorithms and AI-models has promise for facilitating clinical diagnosis and healthcare screening for PM on a large scale.
Periphery Biomarkers for Objective Diagnosis of Cognitive Decline in Type 2 Diabetes Patients
Authors: Liu Yanchao , Zhang Shujuan , He Benrong , Chen Liangkai , Ke Dan , Zhao Shi , Zhang Yao , Wei Wei , Xu Zhipeng , Xu Zihui , Yin Ying , Mo Wen , Li Yanni , Gao Yang , Li Shihong , Wang Weijin , Yu Huiling , Wu Dongqin , Pi Guilin , Jiang Tao , Deng Mingmin , Xiong Rui , Lei Huiyang , Tian Na , He Ting , Sun Fei , Zhou Qiuzhi , Wang Xin , Ye Jinwang , Li Mengzhu , Hu Nan , Song Guoda , Peng Wenju , Zheng Chenghong , Zhang Huaqiu , Wang Jian-Zhi 
Published: October 2021

Introduction: Type 2 diabetes mellitus (T2DM) is an independent risk factor of Alzheimer’s disease (AD), and populations with mild cognitive impairment (MCI) have high incidence to suffer from AD. Therefore, discerning who may be more vulnerable to MCI, among the increasing T2DM populations, is important for early intervention and eventually decreasing the prevalence rate of AD. This study was to explore whether the change of plasma β-amyloid (Aβ) could be a biomarker to distinguish MCI (T2DM-MCI) from non-MCI (T2DM-nMCI) in T2DM patients.Methods: Eight hundred fifty-two T2DM patients collected from five medical centers were assigned randomly to training and validation cohorts. Plasma Aβ, platelet glycogen synthase kinase-3β (GSK-3β), apolipoprotein E (ApoE) genotypes, and olfactory and cognitive functions were measured by ELISA, dot blot, RT-PCR, Connecticut Chemosensory Clinical Research Center (CCCRC) olfactory test based on the diluted butanol, and Minimum Mental State Examination (MMSE) test, respectively, and multivariate logistic regression analyses were applied.Results: Elevation of plasma Aβ1-42/Aβ1-40 is an independent risk factor of MCI in T2DM patients. Although using Aβ1-42/Aβ1-40 alone only reached an AUC of 0.631 for MCI diagnosis, addition of the elevated Aβ1-42/Aβ1-40 to our previous model (i.e., activated platelet GSK-3β, ApoE ε4 genotype, olfactory decline, and aging) significantly increased the discriminating efficiency of T2DM-MCI from T2DM-nMCI, with an AUC of 0.846 (95% CI: 0.794–0.897) to 0.869 (95% CI: 0.822–0.916) in the training cohort and an AUC of 0.848 (95% CI: 0.815–0.882) to 0.867 (95% CI: 0.835–0.899) in the validation cohort, respectively.Conclusion: A combination of the elevated plasma Aβ1-42/Aβ1-40 with activated platelet GSK-3β, ApoE ε4 genotype, olfactory decline, and aging could efficiently diagnose MCI in T2DM patients. Further longitudinal studies may consummate the model for early prediction of AD.
Nitrogen-Doped Graphene Monolith Catalysts for Oxidative Dehydrogenation of Propane
Authors: Liu Weijie , Cao Tianlong , Dai Xueya , Bai Yunli , Lu Xingyu , Li Fan , Qi Wei 
Published: October 2021

It’s of paramount importance to develop renewable nanocarbon materials to replace conventional precious metal catalysts in alkane dehydrogenation reactions. Graphene-based materials with high surface area have great potential for light alkane dehydrogenation. However, the powder-like state of the graphene-based materials seriously limits their potential industrial applications. In the present work, a new synthetic route is designed to fabricate nitrogen-doped graphene-based monolith catalysts for oxidative dehydrogenation of propane. The synthetic strategy combines the hydrothermal-aerogel and the post thermo-treatment procedures with urea and graphene as precursors. The structural characterization and kinetic analysis show that the monolithic catalyst well maintains the structural advantages of graphene with relatively high surface area and excellent thermal stability. The homogeneous distributed nitrogen species can effectively improve the yield of propylene (5.3% vs. 1.9%) and lower the activation energy (62.6 kJ mol−1 vs. 80.1 kJ mol−1) in oxidative dehydrogenation of propane reaction comparing with un-doped graphene monolith. An optimized doping amount at 1:1 weight content of the graphene to urea precursors could exhibit the best catalytic performance. The present work paves the way for developing novel and efficient nitrogen-doped graphene monolithic catalysts for oxidative dehydrogenation reactions of propane.
Non-Arrhenian Temperature-Dependent Viscosity of Alkali(ne) Carbonate Melts at Mantle Pressures
Authors: Ritter Xenia , Guillot Bertrand , Sator Nicolas , Desmaele Elsa , Massuyeau Malcolm , Sanchez-Valle Carmen 
Published: October 2021

The viscosity of carbonate melts is a fundamental parameter to constrain their migration and ascent rates through the mantle and ultimately, their role as carbon conveyors within the deep carbon cycle. Yet, data on the viscosity of carbonate melts have remained scarce due to experimental limitations and the lack of appropriate theoretical descriptions for molten carbonates. Here, we report the viscosity of K2Mg(CO3)2 and K2Ca(CO3)2 melts up to 13 GPa and 2,000 K by means of classical molecular dynamics (MD) simulations using optimized force fields and provide first evidence for non-Arrhenian temperature-dependent viscosity of molten carbonates at mantle pressures. The viscosity of K2Mg(CO3)2 and K2Ca(CO3)2 melts ranges respectively between 0.0056–0.0875 Pa s and 0.0046–0.0650 Pa s in the investigated pressure-temperature interval. Alkali(ne) carbonate melts, i.e. mixed alkali and alkaline earth carbonate melts -K2Mg(CO3)2 and K2Ca(CO3)2− display higher viscosity than alkaline earth carbonate melts -CaCO3 and MgCO3− at similar conditions, possibly reflecting the change in charge distribution upon addition of potassium. The non-Arrhenian temperature-dependence of the viscosity is accurately described by the Vogel-Fulcher-Tammann model with activation energies Ea for viscous flow that decrease with temperature at all investigated pressures, e.g. from ∼100 kJ/mol to ∼30 kJ/mol between 1,300 and 2,000 K at 3 GPa. Pressure is found to have a much more moderate effect on the viscosity of alkali(ne) carbonate melts, with activation volumes Va that decrease from 4.5 to 1.9 cm3/mol between 1,300 and 2,000 K. The non-Arrhenian temperature-viscosity relationship reported here could be exhibited by other carbonate melt compositions as observed for a broad range of silicate melt compositions and it should be thus considered when modeling the mobility of carbonate melts in the upper mantle.
Broadening the Mutation Spectrum in GJA8 and CHMP4B: Novel Missense Variants and the Associated Phenotypes in Six Chinese Han Congenital Cataracts Families
Authors: Wang Xun , Wang Dongni , Wang Qiwei , Huang Weiming , Dongye Meimei , Zhang Xulin , Lin Duoru , Lin Zhuoling , Li Jing , Hu Weiling , Li Xiaoyan , Lin Xiaoshan , Zhong Qiuping , Chen Weirong , Lin Haotian 
Published: October 2021

Purpose: To broaden the mutation and phenotype spectrum of the GJA8 and CHMP4B genes and to reveal genotype-phenotype correlations in a cohort of Chinese patients with congenital cataracts (CCs).Methods: Six Chinese Han families with CCs inherited in an autosomal dominant (AD) pattern were recruited for this study. All patients underwent full ocular examinations. Genomic DNA was extracted from the leukocytes of peripheral blood collected from all available patients and their unaffected family members. Whole-exome sequencing (WES) was performed on all probands and at least one of their parents. Candidate variants were further confirmed by Sanger sequencing. Bioinformatic analysis with several computational predictive programs was performed to assess the impacts of the candidate variants on the structure and function of the proteins.Results: Four heterozygous candidate variants in three different genes (CRYBB2, GJA8, and CHMP4B) were identified in affected individuals from the six families, including two novel missense variants (GJA8: c.64G &gt; C/p. G22R, and CHMP4B: c.587C &gt; G/p. S196C), one missense mutation (CRYBB2: c.562C &gt; T/p. R188C), and one small deletion (GJA8: c.426_440delGCTGGAGGGGACCCT/p.143_147delLEGTL). The three missense mutations were predicted as deleterious in all four computational prediction programs. In the homologous model, the GJA8: p.143_147delLEGTL mutation showed a sequence deletion of five amino acids at the cytoplasmic loop of the Cx50 protein, close to the third transmembrane domain. Patients carrying mutations in the same gene showed similar cataract phenotypes at a young age, including total cataracts, Y-sutural with fetal nuclear cataracts, and subcapsular cataracts.Conclusion: This study further expands the mutation spectrum and genotype-phenotype correlation of CRYBB2, GJA8, and CHMP4B underlying CCs. This study sheds light on the importance of comparing congenital cataract phenotypes in patients at the same age stage. It offers clues for the pathogenesis of CCs and allows for an early prenatal diagnosis for families carrying these genetic variants.
The Influence of Analysis Mode Selection on Prediction Accuracy of Corneal Astigmatism Using Pentacam
Authors: Meng Jiaqi , Yu Jifeng , He Wenwen , Wei Ling , Lu Yi , Zhu Xiangjia 
Published: October 2021

Purpose: To evaluate the influence of analysis mode selection on prediction accuracy of corneal astigmatism using Pentacam.Methods: Fifty-nine eyes of 59 patients implanted with toric intraocular lenses (IOLs) were included in the retrospective study. Preoperative corneal astigmatism (total refractive power) measured with Pentacam was analyzed based on 2-, 3-, 4-, or 5-mm ring or zone mode either centered on corneal apex or pupil center. Actual corneal astigmatism was calculated based on residual astigmatism on the corneal plane, surgical-induced astigmatism, and effective toric power on the corneal plane. Prediction error, the difference between actual corneal astigmatism and measured astigmatism, was compared among different analysis modes. Influences of local topography on prediction error were also evaluated.Results: Based on the zone mode, prediction error was lower when centered on corneal apex than on pupil center at different diameters, whereas based on the ring mode, this difference was only seen at 2-mm cornea (all P &lt; 0.05). When centered on the corneal apex, the zone mode showed lower prediction error than the ring mode at 4- and 5-mm corneas (both P &lt; 0.001), regardless of asymmetric or symmetric astigmatism. In symmetric bowtie, the zone mode showed lower prediction error than the ring mode at 2-mm cornea of the small bowtie, and 4- and 5-mm corneas of the large bowtie (all P &lt; 0.05).Conclusions: For toric IOL planning, the corneal apex may be a better reference center. At a cornea diameter ≥4 mm, the zone mode is more accurate than the ring mode. Local topography affects prediction accuracy in the symmetric bowtie.