bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determination of grain size distribution of prior austenite grains through a combination of a modified contrasting method and machine learning
Authors: Laub M. , Bachmann B.-I. , Detemple E. , Scherff F. , Staudt T. , Müller M. , Britz D. , Mücklich F. , Motz C. 
Published: December 2022

Abstract
The prior austenite grain size (PAGS) represents one of the most significant microstructural parameters for steel research and process development. Since the PAGS directly correlates with recrystallisation during rolling in the manufacturing process of steel plates, it has a huge influence on its mechanical properties. Methods to determine the PAGS reliably and reproducibly are in high demand. There are several different approaches, based on different working principles, aiming to measure the PAGS. In this paper, the focus will be held on chemical etching methods because they allow, other than indirect techniques, space-resolved images as output, coupled with a fast application with good statistics and do not necessarily require a pretreatment of the specimen that can alter properties of interest. A parameter study has been conducted to identify unknown influencing variables as well as to tune well known parameters for their application to low-carbon steels. In the scope of this work, a novel and objective way of determining the PAGS is being presented. A reproducible approach has been developed that is able to automatically reconstruct the prior austenite grain boundaries (PAGB) from low-carbon steels and thereby determining the PAGS. Based on an improved etching recipe, a routine could be elaborated using modern methods of machine learning in the field of computer vision that is able to quantitatively analyze optical micrographs. Semantic segmentation is used to detect the PAGB based on correlative EBSD data and expert’s annotations; thus, reconstructing the prior morphological microstructure. Therefore, besides the determination of the average grain size, the distribution of the PAGS and their morphological parameters can be quantified.
Differential Regulation of Prelimbic and Thalamic Transmission to the Basolateral Amygdala by Acetylcholine Receptors
Authors: Tryon Sarah C. , Bratsch-Prince Joshua X. , Warren James W. , Jones Grace C. , McDonald Alexander J. , Mott David D. 
Published: December 2022

The amygdalar anterior basolateral nucleus (BLa) plays a vital role in emotional behaviors. This region receives dense cholinergic projections from basal forebrain which are critical in regulating neuronal activity in BLa. Cholinergic signaling in BLa has also been shown to modulate afferent glutamatergic inputs to this region. However, these studies, which have used cholinergic agonists or prolonged optogenetic stimulation of cholinergic fibers, may not reflect the effect of physiological acetylcholine release in the BLa. To better understand these effects of acetylcholine, we have used electrophysiology and optogenetics in male and female mouse brain slices to examine cholinergic regulation of afferent BLa input from cortex and midline thalamic nuclei. Phasic ACh release evoked by single pulse stimulation of cholinergic terminals had a biphasic effect on transmission at cortical input, producing rapid nicotinic receptor-mediated facilitation followed by slower mAChR-mediated depression. In contrast, at this same input, sustained ACh elevation through application of the cholinesterase inhibitor physostigmine suppressed glutamatergic transmission through mAChRs only. This suppression was not observed at midline thalamic nuclei inputs to BLa. In agreement with this pathway specificity, the mAChR agonist, muscarine more potently suppressed transmission at inputs from prelimbic cortex than thalamus. Muscarinic inhibition at prelimbic cortex input required presynaptic M4 mAChRs, while at thalamic input it depended on M3 mAChR-mediated stimulation of retrograde endocannabinoid signaling. Muscarinic inhibition at both pathways was frequency-dependent, allowing only high-frequency activity to pass. These findings demonstrate complex cholinergic regulation of afferent input to BLa that is pathway-specific and frequency-dependent.SIGNIFICANCE STATEMENTCholinergic modulation of the basolateral amygdala regulates formation of emotional memories, but the underlying mechanisms are not well understood. Here, we show, using mouse brain slices, that ACh differentially regulates afferent transmission to the BLa from cortex and midline thalamic nuclei. Fast, phasic ACh release from a single optical stimulation biphasically regulates glutamatergic transmission at cortical inputs through nicotinic and muscarinic receptors, suggesting that cholinergic neuromodulation can serve precise, computational roles in the BLa. In contrast, sustained ACh elevation regulates cortical input through muscarinic receptors only. This muscarinic regulation is pathway-specific with cortical input inhibited more strongly than midline thalamic nuclei input. Specific targeting of these cholinergic receptors may thus provide a therapeutic strategy to bias amygdalar processing and regulate emotional memory.
Auxetic properties of some intermetallic compounds
Authors: Raransky M. , Oliinych-Lysiuk A. , Tashchuk R. , Tashchuk A. , Struk A. , Unguryan M. 
Published: December 2022

With the application of a linear theory of elasticity of anisotropic crystals and the use of experimental values of elastic moduli Сij and compliances Sij given in the Landolt-Börstein tables, characteristic surfaces of Young's moduli, angular distributions of Poisson's ratios μ(φ, Θ, ψ) and indicating auxeticity surfaces of single crystals of intermetallic compounds Ag-Au, Cu-Ni, Cu-Au, and Cu-Zn were for the first time constructed.
The extremely high sensitivity of the component of the extreme values of Young's moduli E<110> to anomalous deformations during phase transformations of the order-disorder type was established. Anomalies of the concentration dependences of the auxetic parameters μmin(X), μmax(X) and the auxeticity degree Sa(X) near the points of phase transformation of the second order type were revealed.
The Relationship between Psychosocial Factors and Affiliate Stigma in Parents of Children with ADHD: Systematic Literature Review
Authors: Aušraitė Marija , Žardeckaitė-Matulaitienė Kristina 
Published: December 2022

The aim of this study is to identify the psychosocial factors which are related with affiliate stigma in parents of children with ADHD through a systematic literature review. This review includes English publications from 2008 to 2022, which present the results of quantitative studies on the relationship between psychosocial factors and affiliate stigma in parents of children with ADHD. According to eligibility criteria, 7 articles were included in the review. The results showed that higher parental affiliate stigma is associated with lower parents’ psychosocial functioning (higher expressed depression, anxiety, lower self-esteem). It was also found that higher parental affiliate stigma is related to unfavorable behavior towards a child (higher expressed negativity/ less constructive parenting). The results also showed that higher parental affiliate stigma is associated with more expressed child's difficulties (ADHD symptoms/ internalizing and externalizing difficulties).
Multiple Criteria Decision Analysis Menggunakan Additive Ratio Assessment Pada Pemilihan Uninterruptible Power Supply (UPS)
Authors: Priyopradono Bentar 
Published: December 2022

Uninterruptible Power Supply (UPS) menjadi perangkat yang penting, karena memiliki fungsi sebagai pemasok arus listrik jika arus listrik dari PLN padam ssecara tiba-tiba. Meningkatnya jumlah perusahaan teknologi informasi dan komunikasi, kantor layanan umum, serta institusi berbasis data lainnya membuat UPS semakin penting. Akan tetapi, saat ini telah beredar berbagai produk UPS yang menawarkan kemampuan dan sepesifikasi yang beragam. Untuk itu, perlu kejelian dalam pemilihan produk UPS agar sesuai dengan kebutuhan. Tujuan dari penelitian ini yaitu membangun sistem pendukung keputusan melalui penyelesaian Multiple Criteria Decision Analysis (MCDA) dengan pendekatan Additive Ratio Assessment (ARAS) untuk pemilihan UPS, agar menghasilkan sistem yang mampu membantu untuk pengambilan keputusan pemilihan UPS yang tepat serta sesuai kebutuhan. Metode ARAS digunakan sebagai model yang dapat melakukan pemilihan alternatif terbaik yang didasari oleh tingkat utilitas pada masing-masing alternatif untuk menentukan alternatif terbaik. Dari hasil uji dengan black-box testing memperlihatkan bahwa sistem yang dikembangkan sudah berjalan dengan baik. Selain itu, sistem dapat menghasilkan perhitungan dengan metode ARAS yang valid karena hasilnya sesuai dengan perhitungan manual.
Puer renidens (Mart. Cap. 2.144). Revisited Topos of ‘Two Loves’ and intertextuality
Authors: Petrovićová Katarina 
Published: December 2022

AbstractLove is one of the most frequent literary motifs, often differentiated in various forms. A plurality of words for love in ancient Greek corresponds to a plurality of their divine representations in particular works, and more generally in Ancient religious and philosophical images. The most famous concept is that of the two Loves which is represented in Plato's dialogue Symposium. In the paper, the author revises the standard interpretation of the ‘Two Loves Topos’, considered in Mart. 2. 144–148, literalized as the presence of Amor and absence of Cupid in Philology's suite during her journey to heaven, in terms of literary intertextuality. After a brief outline of the literary evidence of the ‘Two Loves Topos’, Martianus Capella's comprehensive picture is analysed, connecting the archaic opposition between Amor and Cupid and the Platonic division to support his compositional intention to create a ‘new’ comprehensive Love god person, who is in accordance with the unified and harmonious world of mythological, cosmological, and philosophical scholarship.
CLUSTERIZATION OF DATA ARRAYS BASED ON COMBINED OPTIMIZATION OF DISTRIBUTION DENSITY FUNCTIONS AND THE EVOLUTIONARY METHOD OF CAT SWARM
Authors: Bodyanskiy Ye. V. , Pliss I. P. , Shafronenko A. Yu. 
Published: December 2022

Context. The task of clustering arrays of observations of an arbitrary nature is an integral part of Data Mining, and in the more general case of Data Science, a huge number of approaches have been proposed for its solution, which differ from each other both in a priori assumptions regarding the physical nature of the data and the problem, and in the mathematical apparatus. From a computational point of view, the clustering problem turns into a problem of finding local extrema of a multiextremal function of the vector density argument using gradient procedures that are repeatedly launched from different points of the initial data array. It is possible to speed up the process of searching for these extremes by using the ideas of evolutionary optimization, which includes algorithms inspired by nature, swarm algorithms, population algorithms, etc.
Objective. The purpose of the work is to introduce a data clustering procedure based on the peaks of the data distribution density and the evolutionary method of cat swarms, that combines the main advantages of methods for working with data in conditions of overlapping classes, is characterized by high-quality clustering, high speed and accuracy of the obtained results.
Method. The method for clustering data arrays based on the combined optimization of distribution density functions and the evolutionary method of cat swarms was proposed. The advantage of the proposed approach is to reduce the time for solving optimization problems in conditions where clusters are overlap.
Results. The results of the experiments confirm the effectiveness of the proposed approach in clustering problems under the condition of classes that overlap and allow us to recommend the proposed method for use in practice to solve problems of automatic clustering big data.
Conclusions. The method for clustering data arrays based on the combined optimization of distribution density functions and the evolutionary method of cat swarm was proposed. The advantage of the proposed approach is to reduce the time for solving optimization problems in conditions where clusters are overlap. The method is quite simple from the numerical implementation and is not critical for choosing an optimization procedure. The experimental results confirm the effectiveness of the proposed approach in clustering problems under conditions of overlapping clusters.
DATA CLUSTERING BASED ON INDUCTIVE LEARNING OF NEURO-FUZZY NETWORK WITH DISTANCE HASHING
Authors: Subbotin S. A. 
Published: December 2022

Context. Cluster analysis is widely used to analyze data of various nature and dimensions. However, the known methods of cluster analysis are characterized by low speed and are demanding on computer memory resources due to the need to calculate pairwise distances between instances in a multidimensional feature space. In addition, the results of known methods of cluster analysis are difficult for human perception and analysis with a large number of features.
Objective. The purpose of the work is to increase the speed of cluster analysis, the interpretability of the resulting partition into clusters, as well as to reduce the requirements of cluster analysis to computer memory.
Method. A method for cluster analysis of multidimensional data is proposed, which for each instance calculates its hash based on the distance to the conditional center of coordinates, uses a one-dimensional coordinate along the hash axis to determine the distances between instances, considers the resulting hash as a pseudo-output feature, breaking it into intervals, which matches the labels pseudo-classes – clusters, having received a rough crisp partition of the feature space and sample instances, automatically generates a partition of input features into fuzzy terms, determines the rules for referring instances to clusters and, as a result, forms a fuzzy inference system of the Mamdani-Zadeh classifier type, which is further trained in the form of a neuro-fuzzy network to ensure acceptable values of the clustering quality functional. This makes it possible to reduce the number of terms and features used, to evaluate their contribution to making decisions about assigning instances to clusters, to increase the speed of data cluster analysis, and to increase the interpretability of the resulting data splitting into clusters.
Results. The mathematical support for solving the problem of cluster data analysis in conditions of large data dimensions has been developed. The experiments confirmed the operability of the developed mathematical support have been carried out.
Conclusions. . The developed method and its software implementation can be recommended for use in practice in the problems of analyzing data of various nature and dimensions.
The psychosocial dimension of housing in Nunavik: does social support vary with household crowding?
Authors: Simard Charles-Olivier , Riva Mylene , Dufresne Philippe , Perreault Karine , Muckle Gina , Poliakova Natalia , Desrochers-Couture Mireille , Fletcher Christopher , Moisan Caroline , Fraser Sarah , Bélanger Richard , Courtemanche Yohann , Bignami Simona 
Published: December 2022

Abstract
Objectives
Studies show that living in overcrowded households can contribute to the erosion of social support, which is an important factor in health and well-being. In this study, we examine the relationship between household crowding and social support for Inuit living in Nunavik (hereafter referred to as Nunavimmiut), a region where housing shortages are considered a serious public health problem. We assess whether overcrowding is associated with lower levels of perceived social support and whether this association varies by gender and age group.

Methods
Cross-sectional data are from Qanuilirpitaa? the 2017 Nunavik Health Survey (N = 1306; aged 16 years and older). A perceived social support index was derived from answers to questions related to three different components of social support: positive interaction, emotional support, and love and affection. Associations between overcrowding (more than one person per room) and perceived social support were assessed using weighted linear and logistic regressions, adjusted for several factors. Sex- and age-stratified analyses were also conducted.

Results
Nunavimmiut report significantly lower levels of social support when living in overcrowded households, independently of other covariates. Analyses stratified by sex and age further show that the detrimental association between overcrowding and perceived social support is higher and stronger for men and older adults (both men and women 55 years and older).

Conclusion
Overcrowding is associated with lower levels of perceived social support, which is a key component of health for the general population and for Nunavimmiut. Future research should examine the factors creating stronger associations between overcrowding and lower social support for men and older adults.
Antagonismo de <i>Purpureocillium</i> sp. (cepa UdeA0106) con hongos aislados de cultivos de flores
Authors: Salazar-Moncada Diego A. , Jaramillo-Mazo Claudia , Vásquez-Restrepo Juliana , Ramírez Camilo , Cardona-Bustos Nadya L. 
Published: December 2022

Estudios desarrollados en el grupo BIOMA de la Universidad de Antioquia, mostraron como el hongo Purpureocillium sp. (cepa UdeA0106) puede biocontrolar una plaga conocida como sínfilos (subfilo Myriapoda: clase Symphyla). Este trabajo buscó identificar géneros de hongos anamórficos, aislados de diferentes sustratos (sínfilos y suelos) para determinar la capacidad antagónica de estos, así como de cepas de una colección de hongos biocontroladores sobre Purpureocillium sp. (cepa UdeA0106). A partir de sínfilos se registraron 9 cepas distribuidas en 3 géneros, y en suelo, 17 cepas correspondientes a 10 géneros. Las pruebas de antagonismo consistieron en una prueba in vitro empleando la técnica de cultivo dual en cajas de Petri con agar sabouraud dextrosa (SDA) utilizando 16 cepas: 12 provenientes de los aislamientos y 4 del cepario del grupo BIOMA. Las variables evaluadas fueron el radio de crecimiento en los enfrentamientos y el porcentaje de inhibición del crecimiento radial (PICR) a los 7 y 14 días. El análisis se realizó con un modelo mixto lineal generalizado mediante Proc GLIMMIX SAS® de manera independiente. El hongo Purpureocillium sp. (cepa UdeA0106) fue inhibido por Volutella sp. (Vo.UdeA0109), Paecilomyces sp. Aislado 2 (Pa.UdeA0109) y Peyronella sp. (Pe.UdeA0108) (p < 0,001), mientras que el resultado no fue estadísticamente significativo con las cepas Beauveria sp. (Be.UdeA0109), Dendrodochium sp. (De.UdeA01109), Myrothecium sp. (Mi.UdeA0109), Paecilomyces sp. Aislado 1 (Pa.UdeA0109), Paecilomyces sp., aislado 3 (Pa.UdeA0209), Lecanicillium sp. (Le.UdeA0109) y Purpureocillium sp. (Hy.UdeA0109). El análisis muestra que pueden presentarse interacciones entre cepas de hongos con resultados no seados a la hora de realizar actividades de control.
La experiencia colombiana bajo un régimen de fluctuación controlada del tipo de cambio: el papel de las intervenciones bancarias
Authors: Hernández Monsalve Mauricio A. , Mesa Ramón Javier 
Published: December 2022

El comportamiento de la política colombiana de los últimos años, asociado con el conjunto de intervenciones ejercidas en el mercado de divisas, es el hecho estilizado que motivó este estudio. El objetivo de éste es medir el tamaño relativo de las intervenciones cambiarias durante 2004 y 2006, período de revaluación del peso, y calcular su efectividad en cuanto a los efectos sobre la media y la varianza de la tasa de cambio nominal. La determinación del tipo de cambio por medio de un modelo de balance de portafolio y el uso de índices de intervención en el mercado de divisas demuestran que las intervenciones del Banco de la República con miras a defender el régimen de flotación controlada, han tenido efectos pequeños y transitorios en el nivel y la varianza del tipo de cambio. Palabras clave: intervenciones estilizadas, régimen cambiario, flotación controlada, mercado cambiario, tipo de cambio, modelo de portafolio. Clasificación JEL: E52, E58, F31, G11. Abstract: The behavior of Colombian politics over recent years, associated to the set of interventions on the exchange market, is the stylized fact that motivated this study. The objective is to measure the relative size of currency exchange interventions during 2004 and 2006, a period of appreciation of the peso, and to calculate its effectiveness regarding the effects over the mean and variance of the nominal exchange rate. The determination of the exchange rate through a portfolio balance model and the use of currency exchange market intervention indexes show that interventions of the Central Bank seeking to protect the controlled floating regime have had small and transitory effects on the level and variance of the exchange rate. Keywords: stylized interventions, exchange regime, dirty float, exchange market, exchange rate, portfolio model. JEL classification: E52, E58, F31, G11. Résumé : L’un des fait stylisés de la politique économique colombienne des dernières années est son intervention sur le marché des devises. Dans ce contexte, l’objectif de cet article consiste, d’une part, à mesurer le poids relatif de ces interventions entre les années 2004 et 2006 car il s’agit d’une période d’appréciation du peso colombien et, d’autre part, à calculer l’efficacité de ces interventions sur la médiane et la variance du taux de change nominal. La détermination du taux de change à travers un modèle de balance de portefeuille et l’utilisation d’indices d’intervention dans le marché de devises, montre le rôle joué par la Banque Centrale (Banco de la Republica) lorsque celle-ci cherche à défendre un taux de change flottant contrôlé. Nous montrons que les interventions ont eu des effets moindres et transitoires dans le niveau et dans la variance du taux de change. Mots clés: Interventions de la Banque Centrale, régime de change, marché des devises, taux de change flottant contrôle, taux de change modèles de portefeuille. Classification JEL: E52, E58, F31, G11.