bluuebunny/crossref_metadata_2025_split huggingface dataset:
On Variability and Dynamics in Linguohistorical Aspect (Based on Middle High German Manuscripts)
Authors: Ягупова Л.Н. 
Published: February 2022

Статья продолжает цикл публикаций автора об именном словообразовании средневерхненемецкого языка. Она фокусируется на исследовании префиксальных имен существительных с after- на материале корпуса аутентичных рукописей, представляющих разные типы и жанры текста, временные отрезки и диалектные ареалы. Основными принципами исследования являются динамика развития системы словообразования в течение всего средневерхненемецкого периода и вариативность, обусловленная географическим и частично жанровым факторами. Прослеживаются пути становления и развития, направление изменений в области префиксального именного словообразования с after- в средневерхненемецкий период и в целом в истории немецкого языка.
This article continues the author’s publications on the noun derivation of the Middle High German. It focuses on the investigation of prefix nouns with after- on the basis of a corpus of authentic manuscripts which represent different types and genres of texts, time periods and dialectal areas. The main principles of the investigation are the dynamics of word-building system development during all the Middle High German period and the variability caused by geographical and, partly, genre factors. There have been traced ways of formation and development, tendencies of prefix nouns word-building changes in Middle High German and generally in history of the German language.
Precedent Onyms in Political Discourse (based on the Material of the German Language)
Authors: Буркова Т.А. 
Published: February 2022

В статье раскрываются особенности функционирования прецедентных онимов в немецкоязычном политическом дискурсе. В работе рассматриваются существующие подходы к пониманию термина «прецедентность», отмечается разнообразие подходов к данному понятию, описываются уровни прецедентности, выявляются типы прецедентных онимов (антропонимы, топонимы, мифонимы, библионимы, имена литературных персонажей) и анализируются их функции в немецкоязычном политическом дискурсе. Среди наиболее важных отмечаются прагматическая, оценочная, эвфемистическая.
The article reveals the features of the functioning of precedent onyms in the German-Language political discourse. The success of political actions, election results, the politician’s further political career, etc. may depend on his/her choice of language means. The paper examines a variety of approaches to interpreting the term “precedent”, levels of precedent are described. The author identifies types of precedent onyms as anthroponyms, toponyms, mythonyms, biblionyms, names of literary characters and analyses their functions in the German-Language political discourse. Among the most important are the pragmatic, evaluative, and euphemistic functions.
On the Adequacy of Translating Novels in the Engaged Literature Genre (illustrated by the translation of A. Anzerova’s novels “Am Weißen Meer” and “Aus dem Land der Stummen”)
Authors: Поликарпова Е.В. 
Published: February 2022

В настоящей статье комментируется формула соотношения синтеза эмоционально-образного и рационально-познавательного отражения действительности в романах жанра мемуарной литературы. В статье отмечается, что переводчик сохраняет при переложении романов А. С. Арсеньевой с немецкого на русский язык не только исторический, но и искусствоведческий интерес. Большое значение придается анализу командной работы переводчиков, комментарию переводческих успехов и ошибок. Важным представляется анализ содержания и формы оригинала текста как с точки зрения возможной переводческой трудности, так и с литературоведческой точки зрения.
This article comments on the formula of synthesis of emotional and figurative and rational-cognitive reflection of reality in the novels of the genre of memoir literature. The article points out that the translator renders both the historical authenticity and the stylistic flavour of the original novels written in German by A. Anzerofa (the pen-name of A. S. Arsenyeva). Thanks to rich descriptions of history, appearance, meaning of artifacts, church utensils, sacral buildings of different types, church vestments, nuances of divine services, refinements of church ranks, through the description of actual events and heroic actors, the translation becomes a kind of literary encyclopedia of the original, clarifying topics which are important for patriarchal Russia related to religious studies and religion. In the article great importance is given to the analysis of the teamwork of translators, commenting on the translation successes and mistakes. It is important to analyse the merits of the original text, both in terms of possible provocation of translation failures, and from the literary point of view.
Estimasi Konsentrasi Emisi CO2 Produksi Karet Menggunakan Metode Dispersi Gaussian
Authors: Fitri Yulia , Putra Wirman Shabri , Yulis Rahma , Sita Widara Laras 
Published: February 2022

Inventarisasi Gas Rumah Kaca (GRK) sangat penting diterapkan setiap industry maka perlu untuk menghitung konsentrasi CO2 dari aktivitas industri. Menghitung konsentrasi CO2 menggunakan model Dispersi Gaussian dan Matlab. Matlab yang dibangun pada penelitian ini dapat menghitung konsentrasi CO2. Nilai Kesalahan (error) perhitungan Matlab dengan perhitungan excel adalah dibawah 1 % dengan nilai error konsentrasi CO2 sebesar 0,0005 %. Konsentrasi CO2 yang dihasilkan PT. Hervenia Kampar Lestari tertinggi pada jarak 0,015 km dengan nilai rata-rata dari bulan Juli-Desember sebesar 13,671 kg CO2/bulan dan nilai pertahun yang dihasilkan sebesar 0,164 ton CO2/tahun.
Functional Data Analysis for Extracting the Intrinsic Dimensionality of Spectra: Application to Chemical Homogeneity in the Open Cluster M67
Authors: Patil Aarya A. , Bovy Jo , Eadie Gwendolyn , Jaimungal Sebastian 
Published: February 2022

Abstract
High-resolution spectroscopic surveys of the Milky Way have entered the Big Data regime and have opened avenues for solving outstanding questions in Galactic archeology. However, exploiting their full potential is limited by complex systematics, whose characterization has not received much attention in modern spectroscopic analyses. In this work, we present a novel method to disentangle the component of spectral data space intrinsic to the stars from that due to systematics. Using functional principal component analysis on a sample of 18,933 giant spectra from APOGEE, we find that the intrinsic structure above the level of observational uncertainties requires ≈10 functional principal components (FPCs). Our FPCs can reduce the dimensionality of spectra, remove systematics, and impute masked wavelengths, thereby enabling accurate studies of stellar populations. To demonstrate the applicability of our FPCs, we use them to infer stellar parameters and abundances of 28 giants in the open cluster M67. We employ Sequential Neural Likelihood, a simulation-based Bayesian inference method that learns likelihood functions using neural density estimators, to incorporate non-Gaussian effects in spectral likelihoods. By hierarchically combining the inferred abundances, we limit the spread of the following elements in M67: Fe ≲ 0.02 dex; C ≲ 0.03 dex; O, Mg, Si, Ni ≲ 0.04 dex; Ca ≲ 0.05 dex; N, Al ≲ 0.07 dex (at 68% confidence). Our constraints suggest a lack of self-pollution by core-collapse supernovae in M67, which has promising implications for the future of chemical tagging to understand the star formation history and dynamical evolution of the Milky Way.
The Importance of Being Interpretable: Toward an Understandable Machine Learning Encoder for Galaxy Cluster Cosmology
Authors: Ntampaka Michelle , Vikhlinin Alexey 
Published: February 2022

Abstract
We present a deep machine-learning (ML) approach to constraining cosmological parameters with multiwavelength observations of galaxy clusters. The ML approach has two components: an encoder that builds a compressed representation of each galaxy cluster and a flexible convolutional neural networks to estimate the cosmological model from a cluster sample. It is trained and tested on simulated cluster catalogs built from the Magneticum simulations. From the simulated catalogs, the ML method estimates the amplitude of matter fluctuations, σ
8, at approximately the expected theoretical limit. More importantly, the deep ML approach can be interpreted. We lay out three schemes for interpreting the ML technique: a leave-one-out method for assessing cluster importance, an average saliency for evaluating feature importance, and correlations in the terse layer for understanding whether an ML technique can be safely applied to observational data. These interpretation schemes led to the discovery of a previously unknown self-calibration mode for flux- and volume-limited cluster surveys. We describe this new mode, which uses the amplitude and peak of the cluster mass probability density function as anchors for mass calibration. We introduce the term overspecialized to describe a common pitfall in astronomical applications of ML in which the ML method learns simulation-specific details, and we show how a carefully constructed architecture can be used to check for this source of systematic error.
Application of a simplified methodology for classification of small dams in cascade
Authors: Lima Daniel Andrioli de , Lima Guilherme Theodoro Nascimento Pereira de , Molina Júnior Vitor Eduardo , Fais Laura Maria Canno Ferreira 
Published: February 2022

Dams pose a high potential risk due to the possibility of rupture. An accident can cause severe consequences for the economy and the environment, besides the loss of human lives. In addition to large dams for power generation, there are also a large number of small earth dams throughout the world, mainly in rural areas, built for the purpose of irrigation or watering animals. Problems with small dams are also frequent, especially in periods of high rainfall when they are more prone to failure. When dams are in cascade, the probability of a rupture is even greater than with an isolated dam, since in most cases small dams do not have enough freeboard to contain the volume coming from the dam further upstream. However, Brazilian legislation relating to water dams only covers the large ones, unless they are classified with high Hazard Potential (DPA for its acronym in Portuguese). Thus, there is no specific legislation for small dams, which means that many of them do not undergo regular inspections and proper safety assessment. This work aims to apply the simplified classification developed by the National Laboratory of Civil Engineering (LNEC for its acronym in Portuguese) for dams in cascade and to compare it to the classification of the Brazilian law for the DPA, evaluating its applicability for small dams. In this way, this method will complement and facilitate decision-making by owners and regulators, thus allowing special attention to the safety of small dams all over the world.
Keywords: dams in cascade, dams safety, small earth dams.
PERANCANGAN APLIKASI ABSENSI PEGAWAI PADA PT. SEMEN ANDALAS MENGGUNAKAN VB 2008
Authors: Salamah Salamah , J. Prayoga J. Prayoga , Gustiana Zelvi 
Published: February 2022

ABSTRAK Pemanfaatan teknologi komputer, didapat manfaat berupa kemudahan menyimpan, mengorganisasi dan melakukan pengambilan (retrieval) terhadap berbagai data. Didukung dengan perangkat lunak itu sendiri dan konfigurasi perangkat keras yang tepat, perusahaan dapat membangun sistem informasi manajemen yang handal dan berpengaruh secara signifikan terhadap kinerja perusahaan secara keseluruhan. Proses sistem informasi absensi masih secara manual yaitu dengan cara menanda tangani absen harian lalu harus merekapnya kembali sehingga sering terjadi kesalahan, dan proses sistem informasi penggajian juga masih dilakukan secara manual yaitu dengan cara menuliskannya pada buku kemudian dicatat kembali dalam sebuah form laporan sehingga membutuhkan waktu yang cukup lama. Kata Kunci : Sistem, Informasi, sistem informasi, Absensi
Factores asociados a la depresión en estudiantes foráneos de Medicina, Universidad Católica de Cuenca, 2019
Authors: Sarango Cinthia Gabriela Romero , Palacios Michell Susan Saavedra , Córdova Tania Diciana Arévalo , Peña Mishell Katherine Zurita , Dutan Amy Andrea Armijos 
Published: February 2022

Introducción: La depresión, se caracteriza por un conjunto de síntomas físicos, emocionales, cognitivos y conductuales; que afecta notablemente la vida de las personas, principalmente en el rango de 20 - 45 años. Objetivo: Determinar los factores asociados a la depresión en estudiantes foráneos de la carrera de medicina de la Universidad Católica de Cuenca. Metodología: Estudio cuantitativo, descriptivo y transversal. La población estuvo constituida por los estudiantes foráneos de la carrera de medicina de la Universidad Católica de Cuenca, Provincia del Azuay, de 1ero a 10mo semestre del periodo lectivo Marzo – Julio de 2019. Para la asociación de la depresión y los factores de riesgo, se usó el Odds Ratio. Resultados: La población de estudio estaba en el rango de 18 a 30 años, con una media de 21 años DE ± 2 años, con prevalencia en el rango de 18 a 21 años (51.6%) y el sexo femenino con un 62,6%. La prevalencia de depresión fue de 62.6%. Los factores de riesgo tuvieron asociación con la depresión fueron: el sexo femenino (OR: 2,60 IC 95%: 1,39 - 4,86 p= 0,002); tener poco o ningún apoyo social (OR: 9,56 IC 95%: 0,54 -170,06 p = 0,04); y no tener pareja civil (OR: 4,25 IC 95%: 1,06 - 17,01 p= 0,03), todos con significancia estadística. Conclusión: Existe alta prevalencia de depresión entre los estudiantes foráneos de la Universidad Católica de Cuenca. Los factores de riesgo que tuvieron asociación con la depresión fueron: el sexo femenino, el poco apoyo social y no tener pareja civil
Learning Design Cooperative Learning Inside-Outside Circle in Indonesian Language Lessons at Madrasah Ibtidaiyah: A Literature Review
Authors: Herlina Iin , Suryana Agus , Alwahid Muhamad Azhar 
Published: February 2022

The writing of this article aims to find out the design of the inside-outside circle cooperative learning learning design, namely, 2. The advantage of the Inside Outside Circle technique is that there is a clear structure and allows students to share with different partners briefly and regularly. In addition, students work with fellow students in a cooperative atmosphere and have many opportunities to process information and improve communication skills. The steps for the design of the inside-outside circle cooperative learning technique in Indonesian lessons are that half of the students form a small circle facing out, the other half form a large circle facing in, students facing each other share information simultaneously, students who are in the outer circle rotate then share information with their (new) friends in front of them, and so on.This research method uses the library method by analyzing various books and journals related to the application of the Inside-Outside Circle cooperative learning technique. The conclusions concluded that: 1. learning techniques with the system of inner and outer circles (Inside-Outside Circle) where students share information with each other at the same time with different pairs briefly and regularly.2. The advantage of using the IOC method is that students will easily get different and varied information at the same time. Meanwhile, the steps for implementing the inside-outside circle cooperative learning design in Indonesian lessons are: as follows: 1) The first step, half the class stands in a small circle and faces out. 2) The second step, the other half of the class forms a circle outside the first circle and faces inward. 3) The third step, then two students in pairs from small and large circles share information. This information exchange can be done by all partners at the same time. 4) The fourth step, students in the small circle stay in place, while students in the large circle move one or two steps clockwise, so that each student gets a new partner. 5) The last step, it is the turn of students who are in the big circle to share information. And so on.
Keywords: cooperative learning, Inside Outside Circle, Indonesian Lesson, speaking skills
Parasitosis y eficiencia lectora de los niños de primaria en dos escuelas dominicanas
Authors: Paulino Mencía Francisco , Núñez Fidalgo María Virtudes , Jiménez Pérez Ramón Orlando 
Published: February 2022

La relación entre parasitosis intestinal y desarrollo educativo infantil, en términos de cognición y aprendizaje, ha sido reportada con evidencias importantes en la literatura científica internacional. Con el objetivo de registrar las características de las parasitosis intestinales en relación con la eficiencia lectora infantil, se hizo un estudio descriptivo y correlacional, con una muestra de 107 escolares de cuarto y quinto de primaria en una escuela urbana y otra semirural de Barahona. Se aplicaron pruebas estandarizadas para medir la comprensión lectora y técnicas de diagnóstico de infección parasitaria intestinal en los niños. La infección parasitaria alcanza el 54.7% y de este porcentaje, el 43.1% estaba poliparasitado.
Las especies de protozoos fueron las predominantes, la Giardia lamblia fue la especie más frecuente; se diagnosticaron tan solo dos casos de infección por gusanos (T. trichiura y A. lumbricoides). Se encontró una velocidad lectora muy baja. Se identificó una tendencia que apunta a encontrar peores resultados en las pruebas en los grupos de estudiantes parasitados, especialmente con las deficiencias en la conciencia fonológica en los infectados con G. lamblia.
Con este proyecto, se inició en nuestro país la revisión y análisis de la situación de las parasitosis y el proceso lector desde un enfoque multidisciplinar. La discusión contribuye a generar un conocimiento útil para mejorar la calidad de la educación infantil.
Depression, Anxiety, and Stress during COVID-19 Epidemic among Public Health Students in Thailand
Authors: Chutipattana Nirachon , Le Cua Ngoc , Kaewsawat Supreecha 
Published: February 2022

By the end of March 2020, the COVID-19 epidemic were widespread in Thailand led to the closures of schools and universities. The home quarantine, social distancing, and other restrictions are likely to have psychological impact on students. This study aimed to estimate the prevalence of depression, anxiety, and stress and determine predictors among undergraduate public health students. A cross-sectional study was conducted at the School of Public Health - Walailak University. Research subjects included 463 students selected by a 2-stage random sampling. A research tool was a self-administered standardized 21-item depression, anxiety, and stress scale. An ordinal logistic regression analysis was executed to determine the predictors of depression, anxiety, and stress. The results showed that the prevalence of depression, anxiety, and stress was 24.8, 31, and 18.8%, respectively. Significant predictors of depression and anxiety were educational environment (OR = 0.35, 95% CI: 0.13 - 0.6; OR = 0.3, 95% CI: 0.2 - 0.7), and tense feelings during learning (OR = 3.57, 95% CI: 1.9 - 6.6; OR = 0.5, 95% CI: 0.2 - 0.8). Relationship with boy/girlfriends was considered a predictor of depression and stress (OR = 2.5, 95% CI: 1.2 - 4.9; OR = 0.5,95% CI: 0.2 - 0.9). Marital status of parent (OR = 15.5, 95% CI: 1.2 - 192.3) and family provision for learning (OR= 3.1, 95% CI: 1.3 - 7.6) were predictors of depression, and specialized majors (OR = 0.2, 95% CI: 0.1 - 0.7) was a predictor of stress. Noticeable worries about “My physical health”, “Health systems being overloaded”, and “Restricted liberty of movement” are also considered as predictors of depression, anxiety, and stress. The findings are needed to develop a good education environment and counseling services for cases having emotional problems.
HIGHLIGHTS

Depression, anxiety, and stress account for 24.8, 31, and 18.8 %, respectively among public health students during the COVID-19 pandemic
Three groups of predictors are related to personal and family relationship, educational environment, and worries about COVID-19
Establishing psychological support, reducing academic burden to fit learning needs, and improving educational environments should be urgently done

GRAPHICAL ABSTRACT
Using the Assessment of Motor and Process Skills and the Pediatric Evaluation of Disability Inventory to Assess Self-Care Performance Among Preschool Children With Autism Spectrum Disorder
Authors: Chi I-Jou , Lin Ling-Yi 
Published: February 2022

Importance: Caregiver rating scales often give an unclear picture of the actual self-care performance of preschool children with autism spectrum disorder (ASD).
Objective: To assess self-care performance among preschool children with ASD using two standardized instruments.
Design: Cross-sectional study.
Setting: Clinics, hospitals, and early intervention centers in Tainan, Taiwan.
Participants: Sixty children with ASD (ages 48–71 mo).
Outcomes and Measures: The Standard Version of the Childhood Autism Rating Scale–Second Edition, the Assessment of Motor and Process Skills (AMPS), and the Chinese version of the Pediatric Evaluation of Disability Inventory (PEDI–C).
Results: About 53.3% of children with ASD scored below 1.5 logits for AMPS motor skills and below 1 logit for AMPS process skills, indicating difficulties performing activities of daily living tasks. The average PEDI–C self-care normative standard scores were moderately low (between −1 and −2 SDs), indicating poor self-care performance. The correlations between the two measures were also low (rs = .27–.44). Overall, the results for 36 children were consistent with AMPS and PEDI–C scores; however, those for 24 children (40.0%) were discrepant.
Conclusions and Relevance: These findings have implications for how preschool children with ASD perform their self-care activities and suggest that more than half of preschool children with ASD have a need for occupational therapy interventions that target self-care skills. Occupational therapy practitioners can work with preschool children with ASD and their families to help them improve their self-care performance.
What This Article Adds: Many children with ASD need occupational therapy interventions that target self-care skills. Both the AMPS and the PEDI–C provide valuable information from different perspectives on the self-care performance of preschool children with ASD.