bluuebunny/crossref_metadata_2025 huggingface dataset:
Niższe szkoły realne w Galicji w latach 1842–1873
Authors: Pelczar Roman
Published: March 2022

Lower Realschule schools in Galicia in 1842–1873

The aim of the article is to present the activities of lower Realschule schools, which were a type of vocational schools operating in Galicia from 1842 to (essentially) 1873. They were established in the major cities of Galicia. Most of them were organised at elementary main schools, but several operated as independent facilities. Only boys were eligible to enrol in Realschule schools. The pupils represented various nationalities (Poles, Ukrainians, Germans, Jews) and religions. The schools prepared young people for work in various professions in industry and trade. The article deals with all important issues related to the operation of lower Realschule schools. It discusses the establishment of the school network, their division into independent and dependent facilities, the teaching staff and the student community, as well as their didactic activities. The article supplements the body of knowledge on the history of education in Galicia.
Sprawa statku „Hel” w relacjach polsko-belgijskich w 1955 roku
Authors: Pasztor Maria
Published: March 2022

The case of the “Hel” ship in Polish-Belgian relations in 1955

The article deals with the Polish-Belgian legal dispute (1955) over the legality of the arrest imposed on the Polish “Hel” ship in Antwerp. The detention of the ship resulted from previous rulings of the courts of the United Kingdom of Great Britain made enforceable by the Belgian judiciary. The Polish authorities tried to transfer the legal dispute to the political and diplomatic level. This led to a Polish-Belgian “war of notes” and the degradation of relations between Warsaw and Brussels.
Rola i znaczenie informacji pochodzących ze źródeł otwartych w zwiększaniu podatności na zagrożenia bezpieczeństwa w cyberprzestrzeni, ze szczególnym uwzględnieniem cyberterroryzmu
Authors: Rożej Anna
Published: March 2022

Celem artykułu jest przedstawienie, jak w ostatnich latach wzrosły rola i znaczenie informacji pochodzących ze źródeł otwartych w sytuacji przeniesienia znacznej części funkcjonowania społeczeństw do świata Internetu. Niestety, wraz z tym trendem pojawiły się także nowe zagrożenia, w tym o charakterze cyberterrorystycznym, które wymagają podjęcia natychmiastowych działań, aby móc ograniczyć ich oddziaływanie na bezpieczeństwo informacyjne.

The role and importance of information from open sources in increasing vulnerability to security threats in cyberspace, with particular reference to cyberterrorism

The aim of the article is to present how the role and importance of open source information has increased in recent years as a significant part of the functioning of societies has moved to the world of Internet. Unfortunately, along with this trend, new threats have emerged, including those of a cyberterrorist nature, which require immediate action to limit their impact on information security.
Batman Şartlarında Bazı Yerfıstığı (Arachis hypogaea L.) Çeşitlerinin Verim ve Verim Özelliklerin Belirlenmesi
Authors: BARAN Nurettin , ANDIRMAN Mehtap
Published: March 2022

Bu çalışma, Batman Üniversitesi Batı Raman Kampüs alanında 2018 üretim mevsiminde farklı yerfıstığı çeşitlerinin verim ve verim parametrelerini tespit etmek amacıyla yürütülmüştür. Araştırmada, Arıoğlu 2003, Sultan, Halisbey, NC-7, Brantley, Wilson, Çom, NC-V 11, Osmaniye-2005 olmak üzere dokuz farklı yerfıstığı çeşidi materyal olarak kullanılmıştır. Deneme tesadüf blokları deneme desenine göre üç tekerrürlü olarak yürütülmüştür. Araştırmada kullanılan çeşitlere ait; bitki boyu, dal sayısı, meyve sayısı, meyve ağırlığı, 100 tohum ağırlığı, dekara meyve verimi, kabuk/iç oranı gibi önemli özellikler incelenmiştir. Çalışma sonuçlarına göre denemeye alınan yerfıstığı çeşitlerinin en fazla bitki boyu 39.8 cm ile Çom çeşidinden, en az ise 30.17 cm ile Osmaniye 2005 çeşidinden; bitkide dal sayısı en düşük 11.33 adet ile Osmaniye 2005 çeşidinden, en yüksek ise 14.97 adet ile Arıoğlu 2003 çeşidinden; bitki başına meyve sayısı en düşük 31.9 adet ile Çom çeşidinden, en yüksek ise 43.87 adet ile NC-7 çeşidinden; meyve ağırlığı en düşük 57.73 g ile Çom çeşidinden, en yüksek ise 94.2 g ile NC-7 çeşidinden, 100 meyve ağırlığı en düşük 181.83 g ile NC-V-11 çeşidinden, en yüksek ise 252.63 g ile Halisbey çeşidinden; 100 tohum ağırlığı en düşük 80.46 g ile Çom çeşidinden, en yüksek ise 109.09 g ile Osmaniye 2005 çeşidinden; dekara meyve verimi en düşük 418.98 kg/da ile Çom çeşidinden, en fazla ise 666.82 kg/da ile NC-7 çeşidinden; kabuk/iç oranı en düşük % 53.35 ile Sultan çeşidinden, en yüksek ise % 67.93 ile NC-7 çeşidinden elde edilmiştir. 9 farklı yerfıstığı çeşitlerinde dekara meyve verimi açısından NC-7 ve Halisbey çeşidi, iç oranında ise NC-7 ve Osmaniye-2005 çeşidi yöre koşulları için uygun olduğu görülmüştür.
Designing a Circuit for High-Speed Optical Logic Half Subtractor
Authors: Parandin Fariborz , Sheykhian Arezoo
Published: March 2022

In this paper, a high-speed optical subtractor has been designed and simulated. This circuit is based on a photonic crystal structure with silicon rods embracing a circular cross-section in the air platform. This structure was performed based on the photonic band gap. The best performance of this subtractor is in the highly-usable telecommunication wavelength of 1550, laying in the range of the photonic band gap of this structure. To design the circuit, two inputs with optical sources and two outputs have been used for difference and borrow bit. The features of this logic half subtractor encompassed simple structure, small dimensions, and appropriate level of the outputs 1 and 0.
Vibration Control of Multi Walled Nanosensor by Piezoelectric and Electrostatic Actuator Using Nonlocal and Surface/interface Parameters
Authors: Kachapi Sayyid H. Hashemi
Published: March 2022

In this work, vibration control of multi walled piezoelectric nanosensor (MWPENS) using nonclassical theories of
nonlocal (NLT), nonlocal strain gradient (NSGT) and Gurtin–Murdoch surface/interface (GMSIT) approaches are presented. The nanosensor is embedded in direct nonlinear electrostatic voltage DC, harmonic excitation, structural damping, two piezoelectric layers and nonlinear van der Waals (vdW) force. Hamilton’s principle and Galerkin technique respectively are used to obtain the governing equations and boundary conditions and to solve the equation of motion. For this work, effects of surface/interface energy, size and, material length scale parameters on pull-in voltage VDC
and dimensionless natural frequency (DNF) are consided and nonclassical theories compared with classical theory. It is concluded that ignoring nonclassical effects lead to inaccurate results in vibrational response of the MWPENS.
In all boundary condition, S/I effects lead to increasing of MWPENS stiffness leads to more DC voltage to reach the pull-in instability and other nonclassical effects lead to decreasing of MWPENS stiffness and as a result decreasing of DNF. Also, with ignoring the surface/interface density ρ^I,S and Lame’s constants μ^I,S,
respectively the system will have a maximum and minimum DNF than the other parameters and MWPENS respectively will later and sooner than other parameters reach the pull-in voltage.
Market Basket Analysis for Designing a Product Placement Layout in Retail Shop
Authors: S Meera , Sree R Sharmikha , Valarmathi K.
Published: March 2022

AI use information mining and computational knowledge calculations to further develop dynamic models. Market Basket Analysis is one of the main affiliation rule learning is an information mining strategy, Consists of examining the much of the time bought thing in the market container of clients. In the existing system is use a Apriority algorithm is used for finding frequent item sets. However, it takes longer to locate frequently used item sets because it must repeatedly scan the database, which is a time-consuming procedure. The proposed method was created to address the shortcomings of the existing approach. The ECLAT algorithm is utilized to separate successive item sets from the data set, and afterward the affiliation rules are made.
Kemahiran Menjana Masalah Matematik Berayat Berdasarkan Taksonomi Bloom Semakan dalam kalangan Guru Matematik
Authors: Li Jin Hwa Julie , Maat Siti Mistima
Published: March 2022

Kemahiran menjana masalah merupakan salah satu model pembelajaran yang dapat merangsang proses meta kognitif pelajar dalam pembelajaran matematik. Namun begitu, penyelidikan tentang kemahiran menjana masalah matematik berayat dan cabaran yang dihadapi oleh guru matematik sekolah rendah di Malaysia adalah terhad. Dengan itu, tujuan kajian ini adalah mengenal pasti kemahiran dan cabaran guru matematik sekolah rendah dalam menjana masalah matematik berbentuk ayat berdasarkan Taksonomi Bloom. Sehubungan itu, sebuah kajian kes pelbagai lapangan dilaksanakan dengan menggunakan gabungan pendekatan kualitatif dan kuantitatif. Seramai 5 orang responden dipilih melalui kaedah pensampelan bertujuan. Instrumen kajian ini adalah satu set soalan terbuka, soal selidik dan soalan temu bual semi struktur. Seterusnya, dapatan kajian dianalisis secara deskriptif dan tematik. Dapatan kajian menunjukkan bahawa guru matematik lebih berkemahiran menjana masalah aras pemikiran aras rendah berbanding masalah aras pemikiran tinggi berdasarkan Taksonomi Bloom semakan tahun 2001. Selain itu, kajian juga mendapati bahawa guru matematik sekolah rendah menghadapi pelbagai cabaran dalam proses menjana masalah matematik berayat. Antaranya adalah ketidakpastian terhadap proses menjana masalah, kekeliruan terhadap aras kesukaran masalah matematik yang dijana, faktor literasi bahasa dan literasi matematik murid yang lemah, kekurangan amalan menjana masalah matematik berayat, kekurangan keyakinan diri dan pendedahan terhadap penjanaan masalah matematik berayat yang terhad. Diharapkan kajian ini dapat menjadi bahan rujukan dan nilai tambah terhadap pembangunan profesionalisme guru matematik dalam aspek pedagogi.
Mediating Role of Fatalism on the Relationship between Emotional Intelligence and Psychological Reactance in a Health Crisis Context (Covid-19)
Authors: Essomba Hélène Chantal Ngah , Boris Tachom Waffo , Gustave Soh , Alain Tagne Nossi
Published: March 2022

The messages on barrier gestures to COVID-19 rather seem to produce reactance. This study aimed the mediating effect of fatalism on the relationship between emotional intelligence and psychological reactance to COVID-19 barrier messages. Data were collected from 232 participants using a composite questionnaire containing the emotional intelligence, psychological reactance and fatalism scales. The simple mediation model were used for data processing because it fit with three variable mediational study design. The results showed that fatalism mediates the relationship between emotional intelligence and psychological reactance vis-à-vis messages on barrier gestures to COVID-19. Emotional intelligence inhibits fatalistic beliefs and eliminates psychological reactance. In the health crisis context it is important to take socio-emotional variables into account when designing awareness campaigns inviting individuals to adopt preventive behaviors, especially when those represent the main means of eradicating the pandemic. More implications of these results, as well as future perspectives were discussed.
The Relationship between Health Expenditures and Economic Growth in G7 Countries: A Panel Data Approach
Authors: OĞUL Bahar
Published: March 2022

Sağlık harcamaları ile ekonomik büyüme ilişkisi gittikçe önem kazanmaktadır. Özellikle Covid-19 pandemisi süreciyle birlikte sağlık harcamaları dünya genelinde tartışmalara konu olmuştur. Bu çalışmadaki amaç G7 ülkelerinin (Almanya, Kanada, Japonya, Fransa, İtalya, ABD ve Birleşik Krallık) 2000-2019 dönemi sağlık harcamaları ve ekonomik büyüme verileri ile bu iki değişken arasındaki ilişkiyi incelemektir. Ampirik kısımda panel veri modelleri için birim kök sınamasını öneren başlıca çalışmalardan olan panel LLC ve panel IPS birim kök testleri uygulanmıştır. Değişkenler arasındaki eşbütünleşme ilişkisi Pedroni ve Kao eşbütünleşme testleriyle sınanmıştır. Eşbütünleşme ilişkisinin nihai sapmasız katsayıları tahmin etmek için FMOLS ve DOLS yöntemlerinden yararlanılmıştır. Bulgularda yer alan katsayı değerleri tüm ülkeler ve panel geneli içinde pozitif ve anlamlı çıkmıştır. Panel FMOLS ve DOLS sonuçları birbiriyle tutarlı sonuçlar vererek sağlık harcamalarında meydana gelen artışın ekonomik büyümeyi artırdığı yönündedir.
Electrical Rain Detector Using Arduino Uno with LCD and Buzzer
Authors: Kiran Dhumal  , Tanuj Meshram  , Atul Padol  , Ganesh Yeole
Published: March 2022

This work focuses on using rain sensor, and it can be used in both everyday life and manufacturing. The ultimate goal of this project is to detect rain using a rain sensor. It works like a timer, sending a pulse as its signal, which is then read the buzzer. Water conservation and good use are important. Here is a simple project that will sound an alarm when it rains, allowing us to take action to gather rainwater and store it for later use. We can increase the groundwater level with the aid of Underwater recharge technologies by saving this rainwater and Using it. When the rain detector senses rain, it sounds an alarm. The desired result was achieved in various aspects of using rain water detectors in irrigation, home automation, electronics, vehicles, and other fields. Here is a low-cost rainwater detector circuit that is simple and effective.
Plant Leaf Disease Detection using Inception Resnet V2 -CNN
Authors: Vishal Tanawade  , Suraj Shirude  , Hitesh Saswadkar  , Sarthak Thorat  , Pratik Karhekar  , Prof. V. V. Waykule
Published: March 2022

India is a agriculture country, most of the people are farmers. Still farmers are not able to increase their income, productivity due to different types of diseases in plant. It has negative impact on farming. Now a days number of diseases are increased, so identifying the name of disease is one of the challenge for farmers. If plant diseases are not discovered in early stage, then this can harm crop in large extent, so we need to create a system which can easily identify the name of disease. And also, in India most of the farmers are not educated so we also required to create a simple user interface either by using web development or by using Android app development. Usually, plant’s leaf is primary source for identifying the name of the disease, so we required to create a CNN model which can easily identify the name of the disease by scanning the photo of leaf. If farmers are able to identify the disease in the early stage, they can take required action and loss of production can be reduced.
Humanismo marxista
Authors: Santos Marcelo
Published: March 2022

Texto original publicado na revista Science & Society em 1966. Trata-se de uma tradução cuja versão original não possui resumo.
As margens da subvivência em Fontamara
Authors: Moura Rafael Reginato
Published: March 2022

O presente trabalho tem o objetivo de tecer relações, por intermédio de três vertentes de análise, acerca do romance neorrealista Fontamara, do escritor italiano Ignazio Silone, enfocando mais especificamente o modus “subvivente” atribuído aqui aos personagens cafoni - classe de camponeses da região do Abruzzo – que atuam como protagonistas da história narrada. As três vertentes, ou três margens propostas, permitem atravessamentos em seu curso, diálogos que partem de conceitos relacionados a biopoder e necropolítica, passando por fulgurações grotescas no romance até desembocar numa ponte por vir entre a vida cafoni – oprimida em seu tempo por um regime autoritário e brutal, assim como pela histórica condição material miserável - e a perspectiva ameríndia defendida por Deborah Danowski e Eduardo Viveiros de Castro.
Interreligious Resilience
Authors: Hogue Michael S. , Bell Dean Phillip
Published: March 2022

This book introduces the theory of interreligious resilience as a means to developing deeper and more effective interreligious engagement and resilience. Hogue and Bell advocate for interreligious resilience as the ability to learn and grow through, rather than be threatened by, encounters with religious difference. They argue that rather than the capacity to endure change and return to a normal status quo, a deeper, more complex resilience is characterized by and ability to learn and grow through disturbances, disruptions an uncertainty.

This book integrates theory and practice by situating the practical tasks of interreligious engagement in theological and social contexts. It is systemic rather than being focused on isolated interreligious issues or the practice of interreligious dialogue, and it is multidimensional, rather than being focused primarily on interpersonal interreligious encounters.

This book is essential reading for all religious leaders and other community leaders working with religious people in an interreligious world.
Prevalence of comorbidities and symptoms stratified by severity of illness amongst adult patients with COVID-19: a systematic review
Authors: Pandey Ritambhara , Rai Devesh , Tahir Muhammad , Wahab Abdul , Bandyopadhyay Dhrubajyoti , Lesho Emil , Laguio-Vila Maryrose , Fentanes Emilio , Tariq Raseen , Naidu Srihari , Aronow Wilbert
Published: March 2022

Introduction

We performed a systematic review of comorbidities and symptoms of adult patients with coronavirus disease 2019 (COVID-19) to evaluate comorbidities, symptoms, and severity.

Material and methods

We searched databases and extracted comorbidities and symptoms from the included studies. We stratified the similar signs and symptoms in groups and on the basis of severity and compared them with stratified analysis. Individual case reports and case series with < 5 patients were excluded.

Results

A total of 163 studies with 43,187 patients were included. Mean age was 54.6 years. There were significantly fewer women in the study (43.9% vs. 56.1%, p < 0.0001). Prevalent cardiovascular comorbidities were hypertension (31.9%), obesity (27.9%), hyperlipidemia (26.4%), smoking (18.9%), diabetes mellitus (17.2%), atherosclerotic disease (9.2%) and arrhythmia (5.0%). The most frequently reported constitutional symptoms of COVID-19 were fever (73.9%), fatigue (33.4%), malaise (29.9%), myalgia and/or arthralgia (19.2%), generalized weakness (19.0%), and chills (11.3%). For the cardiovascular system, chest pain and/or tightness were most often reported (19.6%), followed by palpitations (5.2%). Hypertension and diabetes were common in severe disease. Obesity and congestive heart failure were not observed in any non-severe cases. Severe cases compared to non-severe cases more frequently had fever (87.8% vs. 58.5%, p < 0.001), shortness of breath (47.4% vs. 20.6%, p < 0.001), cough (66.8% vs. 62.9%, p < 0.001), sputum production (35.4% vs. 26.5%, p < 0.001) and rhinorrhea (32.2% vs. 7.3%, p < 0.001).

Conclusions

Hypertension, diabetes, and atherosclerotic diseases are common comorbidities across the world, with obesity as the second most common in the US and more common in men.
Mutual Inlining: An Inlining Algorithm to Reduce the Executable Size
Authors: Ben-Asher Yosi , Faour Nidal , Shinaar Ofer
Published: March 2022

We consider the problem of selecting an optimized subset of inlinings (replacing a call to a function by its body) that minimize the resulting code size. Frequently, in embedded systems, the program’s executable file size must fit into a small size memory. In such cases, the compiler should generate as small as possible executables. In particular, we seek to improve the code size obtained by the LLVM inliner executed with the -Oz option. One important aspect is whether or not this problem requires a global solution that considers the full span of the call graph or a local solution (as is the case with the LLVM inliner) that decides whether to apply inlining to each call separately based on the expected code-size improvement. We have implemented a global type of inlining algorithm called Mutual Inlining that selects the next call-site (f()callsg() to be inline based on its global properties. The first property is the number of calls to g(). Next property is determining if inlining g() to f() may prevent inlining other more beneficial neighboring callsites. Finaly repeated inlining iterations over the call graph are performed until there are no more beneficial inlinings to perform. Hence, considering the effect of previously made inlinings on the next call-site to be inline. Our results show small but consistant improvement compare to LLVM’s Oz.
Leveraging OpenAmp in Embedded Mixed-Safety Critical Systems
Authors: Prakash Mridula
Published: March 2022

This aim of this paper is to understand OpenAMP framework and provide details on how to use OpenAMP for designing mixed-safety critical systems. OpenAMP is an open-source software framework that provides software components for working with Asymmetric multiprocessing (AMP) systems. The paper explains the software components of OpenAMP and provides details to use OpenAMP for embedded system designs.
An Evaluation Dataset for Legal Word Embedding: A Case Study on Chinese Codex
Authors: Lin Chun-Hsien , Cheng Pu-Jen
Published: March 2022

Word embedding is a modern distributed word representations approach and widely used in many natural language processing tasks. Converting the vocabulary in a legal document into a word embedding model facilitates subjecting legal documents to machine learning, deep learning, and other algorithms and subsequently performing the downstream tasks of natural language processing vis-à-vis, for instance, document classification, contract review, and machine translation. The most common and practical approach of accuracy evaluation with the word embedding model uses a benchmark set with linguistic rules or the relationship between words to perform analogy reasoning via algebraic calculation. This paper proposes establishing an 1,134 Legal Analogical Reasoning Questions Set (LARQS) from the 2,388 Chinese Codex corpus using five kinds of legal relations, which are then used to evaluate the accuracy of the Chinese word embedding model. Moreover, we discovered that legal relations might be ubiquitous in the word embedding model.
Investigating Cargo Loss in Logistics Systems using Low-Cost Impact Sensors
Authors: Gupta Prasang , Young Antoinette , Rao Anand
Published: March 2022

Cargo loss/damage is a very common problem faced by almost any business with a supply chain arm, leading to major problems like revenue loss and reputation tarnishing. This problem can be solved by employing an asset and impact tracking solution. This would be more practical and effective for high-cost cargo in comparison to low-cost cargo due to the high costs associated with the sensors and overall solution. In this study, we propose a low-cost solution architecture that is scalable, user-friendly, easy to adopt and is viable for a large range of cargo and logistics systems. Taking inspiration from a real-life use case we solved for a client, we also provide insights into the architecture as well as the design decisions that make this a reality.
Adaptive Forgetting, Drafting and Comprehensive Guiding: Text-to-Image Synthesis with Hierarchical Generative Adversarial Networks
Authors: Xue Yuting , Zhou Heng , Ding Yuxuan , Shan Xiao
Published: March 2022

The generation task from text to image generates cross modal data with consistent content by mining the semantic consistency contained in two different modal information of text and image. Due to the differences between the two modes, the task of text to image generation faces many difficulties and challenges. In this paper, we propose to boost the text-to-image synthesis through an adaptive learning and generating generative adversarial networks (ALG-GANs). First, we propose an adaptive forgetting mechanism in the generator to reduce the error accumulation and learn knowledge flexibly in the cascade structure. Besides, to evade the mode collapse caused by a strong biased surveillance, we propose a multi-task discriminator using weaksupervision information to guide the generator more comprehensively and maintain the semantic consistency in the cascade generation process. To avoid the refine difficulty aroused by the bad initialization, we judge the quality of initialization before further processing. The generator will re-sample the noise and re-initialize the bad initializations to obtain good ones. All the above contributions have been integrated in a unified framework, which is an adaptive forgetting, drafting and comprehensive guiding based text-to-image synthesis method with hierarchical generative adversarial networks. The model is evaluated on the Caltech-UCSD Birds 200 (CUB) dataset and the Oxford 102 Category Flowers (Oxford) dataset with standard metrics. The results on Inception Score (IS) and Fréchet Inception Distance (FID) show that our model outperforms the previous methods.
Using Domain Knowledge for Low Resource Named Entity Recognition
Authors: Shi Yuan
Published: March 2022

In recent years, named entity recognition has always been a popular research in the field of natural language processing, while traditional deep learning methods require a large amount of labeled data for model training, which makes them not suitable for areas where labeling resources are scarce. In addition, the existing cross-domain knowledge transfer methods need to adjust the entity labels for different fields, so as to increase the training cost. To solve these problems, enlightened by a processing method of Chinese named entity recognition, we propose to use domain knowledge to improve the performance of named entity recognition in areas with low resources. The domain knowledge mainly applied by us is domain dictionary and domain labeled data. We use dictionary information for each word to strengthen its word embedding and domain labeled data to reinforce the recognition effect. The proposed model avoids large-scale data adjustments in different domains while handling named entities recognition with low resources. Experiments demonstrate the effectiveness of our method, which has achieved impressive results on the data set in the field of scientific and technological equipment, and the F1 score has been significantly improved compared with many other baseline methods.
Unsupervised Blind Image Quality Assessment based on Multi-Feature Fusion
Authors: He Qinglin , Yang Chao , An Ping
Published: March 2022

Image quality affects the visual experience of observers. How to accurately evaluate image quality has been widely studied by researchers. Unsupervised blind image quality assessment (BIQA) requires less prior knowledge than supervised ones. Besides, there is a trade-off between accuracy and complexity in most existing BIQA methods. In this paper, we propose an unsupervised BIQA framework that aims for both high accuracy and low complexity. To represent the image structure information, we employ Phase Congruency (PC) and gradient. After that, we calculate the mean subtracted and contrast normalized (MSCN) coefficient and the Karhunen-Loéve transform (KLT) coefficient to represent the naturalness of the images. Finally, features extracted from both the pristine and the distorted images are adopted to calculate the image quality with Multivariate Gaussian (MVG) model. Experiments conducted on six IQA databases demonstrate that the proposed method achieves better performance than the state-of-the-art BIQA methods.
Meeting Challenges of Modern Standard Arabic and Saudi Dialect Identification
Authors: Aseri Yahya , Alreemy Khalid , Alelyani Salem , Mohanna Mohamed
Published: March 2022

Dialect identification is a prior requirement for learning lexical and morphological knowledge a language variation that can be beneficial for natural language processing (NLP) and potential AI downstream tasks. In this paper, we present the first work on sentence-level Modern Standard Arabic (MSA) and Saudi Dialect (SD) identification where we trained and tested three classifiers (Logistic regression, Multi-nominal Na¨ıve Bayes, and Support Vector Machine) on datasets collected from Saudi Twitter and automatically labeled as (MSA) or SD. The model for each configuration was built using two levels of language models, i.e., unigram and bi-gram, as feature sets for training the systems. The model reported high-accuracy performance using 10-fold cross- validations with average 98.98%. This model was evaluated on another unseen, manually-annotated dataset. The best performance of these classifiers was achieved by Multi-nominal Naïve Bayes, reporting 89%.
Structural and compressibility properties of weft-knitted rib fabrics from glass yarn
Authors: İNCE Mehmet Erdem
Published: March 2022

The structural and compressibility properties of the weft-knitted glass yarn fabrics from 1x1, 2x2, English, and fisherman rib architectures were investigated in this study. Due to their tight structures; 2x2 and fisherman rib fabric architectures exhibited higher loop density, and shorter loop length than 1x1 and English rib fabric architectures. English and fisherman rib fabric architectures displayed higher fiber volume fraction than 1x1 and 2x2 rib architectures in multi-layer compaction and recovery tests where the pressure was varied between 2 and 200 kPa. Number of layer increased the fiber content that pointed the nesting between the fabric layers. As a result of lack of complete recovery from compression; the fabrics exhibited lower thicknesses (i.e. higher fiber volume fractions) during the recovery periods than they did during the compression periods. A second order polynomial regression model with 0,89 R2 (coefficient of determination) was developed to estimate the fiber volume fraction by means of knit architecture, number of fabric layers, pressure, and measurement period.
Recensiones
Authors: A.L.
Published: March 2022

No hay resúmenes disponibles.
ECA Estudios Centroamericanos, Vol. 44, No. 485, 1989: 255-258.
E Analisis kepuasan mahasiswa terhadap pelayanan akademik Sekolah Tinggi Ilmu Tarbiyah Madani Yogyakarta (Confirmatory Factor Analysis (CFA))
Authors: Sogimin Eko Ngabdul Shodikin
Published: March 2022

Kualitas layanan menjadi perhatian utama dalam pengelolaan perguruan tinggi. Hal ini dikarenakan kualitas perguruan tinggi dapat diukur dari kualitas layanan kepada mahasiswa. Selain itu, pemerintah juga menekankan untuk meningkatkan pelayanan publik salah satunya pelayanan administrasi dan akademik di instansi pendidikan. Tujuan dari penelitian ini adalah untuk mengetahui faktor yang mendominasi kepuasan mahasiswa. Populasi penelitian ini adalah mahasiswa di STIT Madani Yogyakarta dengan jumlah sampel sebanyak 95 mahasiswa. Analisis ini menggunakan Confirmatory Factor Analysis (CFA). Faktor yang mendominasi dari konstruk kepuasan mahasiswa adalah assurance dan faktor yang paling lemah adalah reliability. Indikator yang mendominasi dimensi assurance adalah kejelasan informasi tentang prosedur pelayanan administrasi dan akademik. Kecepatan dan kesigapan diperlukan untuk meningkatkan kualitas pelayanan administrasi dan akademik di STIT Madani Yogyakarta..
The Values of Islamic Education in the Amtsal (Parables) of the Qur’an
Authors: Dwi Ratnasari  , Eko Ngabdul Shodikin
Published: March 2022

Al-Qur'an proverbs are one of the methods used by the Qur'an to visualize something abstract into something that looks real, this proverb is set out in various sentences, so understanding it requires careful and deep thought. The library research method or library research using several books of proverbs as the main source is the method the author uses in this study. The book of the Qur'an by orienting its education to humans in accordance with the elements of its creator, namely physical, spiritual, spirit and soul, which is closely related to the verses of the Qur'an itself. Therefore, there are many educational values ​​that can be learned from the verses of the Qur'an, especially through the study of the proverbs of the Qur'an. Among the educational values ​​that can be learned from the verses of the Qur'an are the Value of Faith and Tawhid, the Value of Obedience, the Value of Rational Thinking, the Value of Taqwa, and the Value of Creative. in education.
STAGES OF ORGANIZATION OF DISTANCE (MIXED) LEARNING AND CREATION OF ELECTRONIC EDUCATIONAL CONTENT ON THE EXAMPLE OF THE STRUCTURAL UNIT “CENTER FOR DISTANCE EDUCATION OF ODESSA REGION” ON THE BASIS OF THE MUNICIPAL INSTITUTION “RICHELIEU SCIENTIFIC LYCEU
Authors: Ihnatenko Ye. V.
Published: March 2022

У статті розглянуто порядок організації змішаного навчання та етапи створення електронного освітнього контенту на прикладі шкільного навчального закладу. За результатами дослідно-експериментальної роботи встановлено, що процес організації системи змішаного навчання умовно можна розподілити на три етапи: ознайомчий, підготовчий та виконавчий. На ознайомчому етапі відбувається проведення роз’яснювально-агітаційної роботи серед населення щодо особливостей та пере­ваг змішаного навчання. Підготовчий етап передбачає: 1) підписання договору між навчальним закладом та батьками; 2) створення електронних індивідуальних робочих кабінетів учнів та вчителів-предметників; 3) створення електронного журналу; 4) тренінг для вчителів-предметників; 5) складання розкладу, навчального та календарних планів. Виконавчий етап охоплює: 1) період адаптації для учнів; 2) технічну перевірку платформи для онлайн-навчання; 3) навчання у змішаному форматі. Так само виготовлення електронних дидактичних демонстраційних матеріалів умовно складається з трьох етапів: ознайомчого, підготовчого та виконавчого. Виконавчий етап — це: 1) перевірка на відповідність навчальних матеріа­лів освітній програмі з навчального предмета; 2) вивчення досвіду створення електронного освітнього контенту. Підготовчий етап передбачає: 1) розподіл поурочного навчального плану за темами; 2) підбір текстової частини матеріалу, схем, графіків, фото- та відеоматеріалів; 3) складання списку використаної шкільної літератури; 4) розробку сценарію для запису власного відеофрагмента уроку; 5) створення завдань вчителем-предметником до підготовлених ним же матеріалів. На виконавчому етапі здійснюються: 1) запис відеофрагмента уроку; 2) надання записаного відеоконтенту-першоджерела разом зі сценарієм монтажеру для монтажу; 3) монтаж відеоконтенту на основі отриманих монтажером даних; 4) після підтвердження вчителем-предметником якості відеоконтенту — розміщення цих матеріалів на сайті дистанційної освіти або YouTube-каналі. Охарактеризовано основні поняття, як-от: дистанційне навчання, змішане навчання, електронний освітній ресурс, електронні дидактичні демонстраційні матеріали. Наведено основні види електронного освітнього ресурсу.
THE EFFECTIVENESS OF MEANS TO INCREASE MOTIVATION TO LEARN ENGLISH
Authors: Pestushko A. V. , Honcharova V. B.
Published: March 2022

The proposed article is devoted to the study of fictional texts as a means of increasing motivation in the process of learning English. The topic of the article is determined by the search of ways of motivation formation in the process of learning a foreign language on the basis of the consideration of what motivation in general and what ways of its increasing exist in modern methods. The article analyzes the role of motivation in activities and identifies that motivation is one of the most important tools for managing students’ learning activities. The theoretical foundations of formation of motivation in learning a foreign language are characterized. The main stages of scientific ideas in the sphere of pedagogy are reflected in the given work. Such concepts as “motivation”, “learning motivation” are considered and also the samples of creative text tasks as an effective way of increasing motivation in learning English are analyzed and their analysis for developing motivation in learning English is done. The system analysis of available data on the problem of motivation is conducted. Modern techniques of foreign language and their meaning for the formation of students’ motivation are distinguished and described. The complex of exercises contributing to the increase of motivation is found out. The complex analysis of pedagogical, psychological and linguistic knowledge on the problem of research is established. The monitoring of the level of formation of students’ motivation to learn a foreign language, observation, and questionnaire survey was revealed. The methodological principles of studying motivation have been analyzed. The regularities of motivation development as the highest form of regulation of mental processes and the driving force of human activity are highlighted and analyzed. The correspondence of the main components of learning activity organization is established; the leading motives of schoolchildren in learning a foreign language are grouped based on the given theories. The types of learning motivation of modern times are presented. The reasons that prevent students from learning a language are identified. The most motivating factors in language learning are presented.
Level 2 processor and auxiliary data for ESA Version 8 final full mission analysis of MIPAS measurements on ENVISAT
Authors: Raspollini Piera , Arnone Enrico , Barbara Flavio , Bianchini Massimo , Carli Bruno , Ceccherini Simone , Chipperfield Martyn P. , Dehn Angelika , Della Fera Stefano , Dinelli Bianca Maria , Dudhia Anu , Flaud Jean-Marie , Gai Marco , Kiefer Michael , López-Puertas Manuel , Moore David P. , Piro Alessandro , Remedios John J. , Ridolfi Marco , Sembhi Harjinder , Sgheri Luca , Zoppetti Nicola
Published: March 2022

Abstract. High quality long-term data sets of altitude-resolved measurements of the atmospheric composition are important because they can be used both to
study the evolution of the atmosphere and as a benchmark for future missions. For the final ESA reprocessing of MIPAS (Michelson Interferometer for
Passive Atmospheric Sounding) on ENVISAT (ENViromental SATellite) data, numerous improvements were implemented in the Level 2 (L2) processor
Optimised Retrieval Model (ORM) version 8.22 (V8) and its auxiliary data. The implemented changes involve all aspects of the processing chain, from
the modelling of the measurements with the handling of the horizontal inhomogeneities along the line of sight to the use of the optimal estimation technique
to retrieve the minor species, from a more sensitive approach to detecting the spectra affected by clouds to a refined method for identifying low
quality products. Improvements in the modelling of the measurements were also obtained with an update of the used spectroscopic data and of the
databases providing the a priori knowledge of the atmosphere. The HITRAN_mipas_pf4.45 spectroscopic database was finalised with new spectroscopic
data verified with MIPAS measurements themselves, while recently measured cross-sections were used for the heavy molecules. The Level 2
Initial Guess (IG2) data set, containing the climatology used by the MIPAS L2 processor to generate the initial guess and interfering species profiles
when the retrieved profiles from previous scans are not available, was improved taking into account the diurnal variation of the profiles defined
using climatologies from both measurements and models. Horizontal gradients were generated using the ECMWF ERA-Interim data closest in time and space
to the MIPAS data. Further improvements in the L2 V8 products derived from the use of the L1b V8 products, which were upgraded to reduce the
instrumental temporal drift and to handle the abrupt changes in the calibration gain. The improvements introduced into the ORM V8 L2 processor and
its upgraded auxiliary data, together with the use of the L1b V8 products, lead to the generation of the MIPAS L2 V8 products, which are characterised
by an increased accuracy, better temporal stability and a greater number of retrieved species.
A multi-instrumental and modeling analysis of the ionospheric responses to the solar eclipse on 14 December 2020 over the Brazilian region
Authors: Resende Laysa C. A. , Zhu Yajun , Denardini Clezio M. , Chen Sony S. , Chagas Ronan A. J. , Da Silva Lígia A. , Carmo Carolina S. , Moro Juliano , Barros Diego , Nogueira Paulo A. B. , Marchezi José P. , Picanço Giorgio A. S. , Jauer Paulo , Silva Régia P. , Silva Douglas , Carrasco José A. , Wang Chi , Liu Zhengkuan
Published: March 2022

Abstract. This work presents an analysis of the ionospheric responses to the solar
eclipse that occurred on 14 December 2020 over the Brazilian sector. This
event partially covers the south of Brazil, providing an excellent
opportunity to study the modifications in the peculiarities that occur in
this sector, as the equatorial ionization anomaly (EIA). Therefore, we used
the Digisonde data available in this period for two sites: Campo Grande (CG;
20.47∘ S, 54.60∘ W; dip ∼23∘ S) and
Cachoeira Paulista (CXP; 22.70∘ S, 45.01∘ W; dip ∼35∘ S), assessing the E and F regions and Es layer behaviors.
Additionally, a numerical model (MIRE, Portuguese acronym for E Region
Ionospheric Model) is used to analyze the E layer dynamics modification
around these times. The results show the F1 region disappearance and an
apparent electronic density reduction in the E region during the solar
eclipse. We also analyzed the total electron content (TEC) maps from the
Global Navigation Satellite System (GNSS) that indicate a weakness in the
EIA. On the other hand, we observe the rise of the Es layer electron
density, which is related to the gravity waves strengthened during solar
eclipse events. Finally, our results lead to a better understanding of the
restructuring mechanisms in the ionosphere at low latitudes during the solar
eclipse events, even though they only partially reached the studied regions.
Development of a Late Jurassic shallow marine system controlled by footwall uplift in the Froan Basin and Frøya High, offshore Mid-Norway
Authors: Nakken Lise , Chiarella Domenico , Jackson Christopher A-L.
Published: March 2022

The Froan Basin, located on the proximal platform area on the Mid-Norwegian Continental Shelf, contains petroleum-bearing Upper Jurassic syn-rift deposits. Additional isolated Upper Jurassic shallow marine sand bodies have been identified on the Frøya High, but the platform area remains poorly understood in terms of its Late Jurassic tectono-stratigraphic evolution. Improving our understanding, and in particular how fault activity and rift-shoulder uplift influenced rift physiography and the presence of shallow marine reservoirs, is crucial when assessing hydrocarbon prospectivity. In this study, we present a model for the Late Jurassic rift development of the Froan Basin and Frøya High based on seismic interpretation, well data, and reverse subsidence modelling. We show that during the Late Jurassic to Early Cretaceous, major footwall uplift and exposed the western margin of the Froan Basin and Frøya High formed an intra-rift footwall island. Shallow marine areas to the east, immediately adjacent to the footwall island, accumulated shoreface sediments supplied from the eroded footwall. We therefore suggest that the extent of the Late Jurassic shallow marine system was controlled by the magnitude of footwall uplift and geomorphology of the western margin of the platform area.
The continental record of the Eocene-Oligocene Transition in the Eastern Ebro Basin. Decoding the paleoclimate signature from sediments and clay mineralogy. 
Authors: Garcés Miguel , Bastida Joaquín , López-Blanco Miguel , Beamud Elisabet , Cabrera Lluís
Published: March 2022

The Eocene-Oligocene Transition (EOT) represents a major reorganization of the global climate, initiated by a high-amplitude shift in deep-sea δ18O, interpreted as an orbitally forced global cooling and growth of the permanent ice cap in the Antarctic continent. Marked paleogeographic changes such as the widening of the Southern Ocean gateways and the decreasing marine connectivity across the Paratethyan realm could have played a role, as well as other factors such as the decline of pCO2 and changes in atmospheric circulation patterns. 

The impact of the EOT on continents was recognised as a large-scale biota turnover affecting vertebrate faunas in Eurasia, possibly related to dispersals triggered by changing landmasses connectivity and climate-driven extinctions. Paleoflora investigations around this period also revealed that terrestrial environments are characterised by a substantial regional variability, time-lags and heterogeneous responses to climate forcing. 

In this contribution we study the EOT in a well dated alluvial-lacustrine sedimentary succession of the Eastern Ebro Basin. The integrated analysis of sedimentary trends and clay mineralogy over this 2Myr long stratigraphic record and its correlation with other records aims at understanding the variable response of the sedimentary systems to climate forcing.
Vertical layering of OH line emission from X-shooter and SABER observations of a passing quasi-2-day wave
Authors: Noll Stefan , Kausch Wolfgang , Schmidt Carsten , Bittner Michael , Kimeswenger Stefan
Published: March 2022

The nighttime near-infrared radiation of the Earth's atmosphere is mainly produced in the mesopause region between 80 and 100 km by chemiluminescent emission of the OH radical. The line radiation of various vibrational and rotational states is therefore a valuable indicator of the chemistry and dynamics in the upper atmosphere. The vertical emission distribution can significantly change with time. It is also expected that the time-averaged effective emission height depends on the studied OH line due to differences in the radiative lifetimes, the collision-related transition probabilities, and the initial level population after the production of the radical. Although the knowledge of the OH emission layering is important for the interpretation of passing perturbations, the line-specific details are still uncertain. 

We have studied the effective emission heights of about 300 OH lines based on near-infrared spectroscopic data from the X-shooter spectrograph at the Very Large Telescope at Cerro Paranal in Chile. The line intensities showed very strong variations due to a rising quasi-two day wave during eight nights at the beginning of 2017. With complementary vertically resolved broad-band observations of OH emission from the limb-sounder SABER on the TIMED satellite, we could link the line-dependent wave phases from the fitting of the X-shooter data with emission altitudes. With a period of about 44 h and a vertical wavelength of about 32 km, the observed wave turned out to be an excellent indicator of line-dependent altitude differences, which reached up to 8 km for the investigated lines. In general, the effective emission altitude increases with increasing vibrational and rotational level. Moreover, the derived wave amplitudes imply the presence of a cold thermalised and a hot non-thermalised population for each vibrational level. As the wave amplitudes also showed a strong dependence on local time, significant interactions between the quasi-two-day wave and other perturbations such as tides are likely.