bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hegemoni Agama (KYAI) dalam Pemilihan Wali Kota Pasuruan 2020
Authors: Masitah Dewi , Muharam Moch Mubarok 
Published: May 2023

Penelitian ini bertujuan untuk menganalisa hegemoni elita agama (kyai) dalam pemilihan walikota (pilwali) Pasuruan 2020 . Studi ini menggunakan pendekatan kualitatif berbasis analisis hegemomi dari Antonio Gramsci. Selain menggunakan data sekunder seperti informasi tertulis di media online, jurnal dan buku, studi menggunakan data primer melalui wawancara mendalam terhadap 4 informan-yang berasal dari beberapa unsur- Pengurus NU Kota Pasuruan, Pengurus Muhammadiyah Kota Pasuruan, Santri dan tokoh masyarakat. Penelitian ini berpendapat elit agama (kyai) mempunyai pengaruh politik dalam pemilihan walikota (pilwali) Pasuruan 2020. Pengaruhnya dapat terbukti dengan adanya Saifullah Yusuf (Gus Ipul) dan Adi Wibowo, pasangan yang didukung oleh kyai, menjadi pemenang dalam pilwali 2020 di Kota Pasuruan. Keberhasilan menjadikan Saifullah Yusuf (Gus Ipul) dan Adi Wibowo memenangkan kontestasi pilwali tidak bisa dilepaskan dari kemampuan para kyai melakukan hegemoni kepada masyarakat dan santri agar memilih pasangan tersebut. Tulisan ini menyimpulkan bahwa elit agama (kyai) dapat melakukan hegemoni , karena pengetahuan agama yang dimilikinya. Hegemoninya menjadi lebih kuat, karena keterlibatan kyai untuk menyelesaikan persoalan warga, serta adanya integritas moralnya serta karisma yang dimiliki kyai.
Analisis Pembukaan dan Pengembangan Kawasan Industri di Indonesia
Authors: Cakranegara Pandu Adi 
Published: May 2023

Investasi dapat meningkat pertumbuhan ekonomi suatu negara. Namun jumlah investasi domestic di Indonesia terbatas. Oleh karena itu pemerintah mengundang investor luar negeri untuk berinvestasi. Agar investor luar negeri bersedia berinvestasi maka pemerintah perlu memberikan faktor penarik. Semakin banyak investasi asing yang masuk maka akan semakin meningkat multiplikasi ekonomi yang dihasilkan investasi tersebut. Penelitian ini menggunakan metode literature dan mengobservasi kawasan industri yang telah berkembang di Indonesia. Dengan menggunakan hal itu maka bisa dicari faktor-faktor yang menarik investasi asing. Penelitian ini menemukan bahwa pengembangan kawasan industri melibatkan peranan tiga pihak yaitu pemerintah, pihak swasta dan akademisi. Ketiga ini pihak ini memilik peran aktif dalam menarik investor. Penelitian ini terutama berfokus pada pembukaan kawasan industri di pulau Jawa. Ke depannya perlu diteliti tentang pembukaan berbagai kawasan industri di wilayah-wilayah lain di Indonesia.
PENGEMBANGAN WISATA HALAL DENGAN MODEL PENTAHELIX
Authors: Fithriyah Mustiqowati Ummul 
Published: May 2023

Penelitian ini bertujuan untuk mengetahui pengembangan wisata halal di provinsi Riau dengan menggunakan model Pentahelix. Penelitian ini dilakukan untuk mengetahui pelaksanaan pengembangan wisata halal pasca lahirnya Peraturan Gubernur Riau No. 18 tahun 2019 tentang Pariwisata Halal. Penelitian ini menggunakan pendekatan deskriptif kualitatif dengan mengeksplor baik dari data primer maupun sekunder. Hasil penelitian menunjukan bahwa melalui model pentahelix ini mendorong kolaborasi sinergis antar lima aktor, yakni; akademisi, swasta atau pelaku usaha, masyarakat, pemerintah dan media, yang biasa dikenal dengan ABCGM yakni Academy Busines Community Government and Media. Riau menjadi salah satu dari 10 provinsi di Indonesia yang melalui Kementerian Pariwisata dipersiapkan untuk menjadi destinasi wisata halal. Selanjutnya dengan didukung regulasi yang tepat maka stakeholder dapat menjalankan tugas pokok dan fugsi masing-masing dalam pengembangan wisata halal. Predikat Home of Malay yang melekat pada Riau bertumpu pada budaya, adat istiadat, dan kesusasteraan, yang sangat kental dengan ajaran Islam, menjadi daya dorong bagi pemerintah daerah provinsi Riau untuk mengembangkan potensi pariwisata halal demi meningkatkan perekonomian daerah.
El show porno en la universidad
Authors: Milano Laura 
Published: May 2023

En 2015, una intervención performática posporno en la Facultad de Ciencias Sociales de la Universidad de Buenos Aires causó un revuelo mediático que hizo que, por unos días, estas prácticas artístico-políticas salieran del espacio del under transfeminista para ser tapa de los principales diarios. Este artículo analiza los modos en los que se construyó un acontecimiento mediático a partir de una lectura de la performance como un hecho pornográfico y lo obsceno, al tiempo que busca problematizar las tensiones simbólicas articuladas en torno a este hecho y a su forma de intervenir sexualmente el spacio público universitario.
Multiple inducible thermogenic mechanisms in the development of cold acclimatization
Authors: Lu Huanyu , Luo Wenjing 
Published: May 2023

Abstract
Extreme cold environment can threaten human health and life through increasing the risk of myocardial infarction, stroke, frostbite, and hypothermia. Insufficient heat production to maintain core body temperature is a major cause of cold injury. To cope with cold stress, human and other mammals have developed the capacity of cold acclimatization to adapt to such a harsh environment. Adaptive non-shivering thermogenesis is a ubiquitous form of cold acclimatization. This review article systematically summarizes the role of three inducible thermogenic forms, including food intake, circadian rhythms, and cold exposure in mediating non-shivering thermogenesis under cold exposure and presents the potential interventions for minimizing the adverse health consequences of cold temperature.
Present situation of rational drug use in plateau area
Authors: Chu Yanbin , Wang Rong 
Published: May 2023

Abstract
Plateau is characterized by low oxygen, low pressure, strong radiation, cold and dryness, among which low oxygen is the main factor that affects the normal life activities of human body. Altitude hypoxia leads to significant changes in the metabolic characteristics of drugs in vivo, which in turn affects the efficacy and adverse actions of drugs. This paper summarizes the present situation of rational drug use in plateau area and pinpoints the existing problems. Meanwhile, we posit the strategies and measures for realizing rational and precise pharmacotherapy of plateau residents. First, we need to acquire a panoramic view of differential and relative pharmacokinetics and pharmacodynamics in between plateau area and plain area by carrying out comparative studies on drug metabolisms and on comprehensive drug efficacies and mechanisms. Second, we must apply the findings from basic research to clinical practice and formulate guidelines and recommendations of drug use for plateau habitants. Finally, we should eventually achieve precise and individualized drug use for plateau habitants based on their characteristic etiology and pathogenesis.
Hydroxychloroquine induces long QT syndrome by blocking hERG channel
Authors: Zhao Xin , Sun Lihua , Chen Chao , Xin Jieru , Zhang Yan , Bai Yunlong , Pan Zhenwei , Zhang Yong , Li Baoxin , Lv Yanjie , Yang Baofeng 
Published: May 2023

Abstract

Objective
In March 2022, more than 600 million cases of Corona Virus Disease 2019 (COVID-19) and about 6 million deaths have been reported worldwide. Unfortunately, while effective antiviral therapy has not yet been available, chloroquine (CQ)/hydroxychloroquine (HCQ) has been considered an option for the treatment of COVID-19. While many studies have demonstrated the potential of HCQ to decrease viral load and rescue patients’ lives, controversial results have also been reported. One concern associated with HCQ in its clinical application to COVID-19 patients is the potential of causing long QT interval (LQT), an electrophysiological substrate for the induction of lethal ventricular tachyarrhythmias. Yet, the mechanisms for this cardiotoxicity of HCQ remained incompletely understood.

Materials and methods
Adult New Zealand white rabbits were used for investigating the effects of HCQ on cardiac electrophysiology and expression of ion channel genes. HEK-293T cells with sustained overexpression of human-ether-a-go-go-related gene (hERG) K+ channels were used for whole-cell patch-clamp recordings of hERG K+ channel current (IhERG). Quantitative RT-PCR analysis and Western blot analysis were employed to determine the expression of various genes at mRNA and protein levels, respectively.

Results
electrocardiogram (ECG) recordings revealed that HCQ prolonged QT and RR intervals and slowed heart rate in rabbits. Whole-cell patch-clamp results showed that HCQ inhibited the tail current of hERG channels and slowed the reactivation process from inactivation state. HCQ suppressed the expression of hERG and hindered the formation of the heat shock protein 90 (Hsp90)/hERG complex. Moreover, the expression levels of connexin 43 (CX43) and Kir2.1, the critical molecular/ionic determinants of cardiac conduction thereby ventricular arrythmias, were decreased by HCQ, while those of Cav1.2, the main Ca2+ handling proteins, remained unchanged and SERCA2a was increased.

Conclusion
HCQ could induce LQT but did not induce arrhythmias, and whether it is suitable for the treatment of COVID-19 requires more rigorous investigations and validations in the future.
Study on the effect of nanosilica suspension on the properties of cement-based grouts
Authors: Li Shuiping , Chao Wei , Li Wei , Cheng Jian , Yuan Bin 
Published: May 2023

Abstract
The agglomeration trend of nanosilica particles was found to significantly affect the properties of cement-based materials. The influence of nanosilica suspension on the fluidity, setting time, and compressive strength of cement-based grouts were studied. The hardened pastes were characterized by thermogravimetric (TG) analysis and scanning electron microscopy (SEM). The results showed that the fluidity of cement-based grouts with nanosilica suspension had obviously improved. The setting time was obviously decreased, compared with the reference sample. The compressive strengths for 1 day, 3 days, and 28 days were 12.8%, 14.3%, and 10.1% higher than that of the reference group, respectively. This paper may provide a novel route to improve the mechanical properties of cement-based materials without affecting their workability.
The Contribution of Photon, Z Boson, Higgs, Radion and Unparticle to the Process in Randall-Sundrum model
Authors: Mai Dung Le , Thi Le Thuy Dao 
Published: May 2023

The process is studied from unparticle physics perspective in Randall-Sundrum model. We calculated and evaluated the cross sections independently for photon (γ), Z boson (Z), vector unparticle (Uμ), Higgs (h), radion ( ), scalar unparticle (U) exchange. Numerical calculations showed that the contribution of unparticle exchange dominates in a very high energy region. While γ and Z contribute mainly in the lower region, h and contribution is negligible in comparison with the other exchanges. The results are plotted in the energy ranges available in the present designs of accelerators and near future high energy frontier muon colliders as shown by International Muon Collider Collaboration articles.
Keywords: Muon production, unparticle physics, collisions, muon colliders, Randall-Sundrum model.
Prevalence and causes of visual impairment and use of low-vision devices at a tertiary eye hospital in western Uttar Pradesh, India
Authors: Singh Mahendra , Chaurasiya Suraj Kumar , Chauhan Lokesh 
Published: May 2023

Objectives:
The objective of this study was to determine the hospital-based prevalence and major causes of visual impairment in patients attending the low-vision clinic of a tertiary eye institute.

Materials and Methods:
This study was a retrospective non-intervention hospital-based study. Clinical records of visually impaired patients presented to the department of low vision from February 2017 to December 2021 were retrieved. Blindness has been defined as the best-corrected distance visual acuity of <3/60 and/or <10° visual field in the better eye. Low vision was defined as a best-corrected distance visual acuity of <6/18 but equal to or better than 3/60 in the better eye. The presenting visual acuity, causes of low vision and blindness, and prescribed low-vision devices were recorded and analyzed to determine the prevalence and major causes of visual impairment.

Results:
Among 414 visually impaired patients, the prevalence of low vision and blindness was 52.9% (n = 219) and 47.1% (n = 195), respectively. Retinitis pigmentosa (n = 57, 13.8%) and glaucoma (n = 43, 10.4%) were the major causes of low vision; however, glaucoma (n = 55, 13.3%) and cortical visual impairment (CVI) (n = 37, 8.9%) were the major causes of blindness. A total of 229 low-vision devices were dispensed, of them 166 (40.1%) were distance and 63 (15.1%) were near devices.

Conclusion:
The hospital-based prevalence of low-vision patients was more as compared to blindness. The major causes of visual impairment were retinitis pigmentosa, glaucoma, and CVI. A comprehensive approach to the causes of low vision and low-vision services is needed to reduce the burden of visual impairment in the country.
Indian diabetic risk score screening of rural adults in Tamil Nadu
Authors: Kumaran K Myl , Vedapriya D. R. , Manoharan Aravind , Nirupama A Y 
Published: May 2023

Objectives:
Diabetes is acknowledged as a key public health problem with the prevalence rate increasing globally and reaching epidemic proportions. It is high time that screening programs are implemented at the community level for early detection of the population, who are at risk of having diabetes mellitus.

Materials and Methods:
A community-based and cross-sectional study was conducted in the rural field practice area of a tertiary care hospital in Chengalpattu district, Tamil Nadu. The screening tool used to assess the risk status was the Indian diabetes risk score (IDRS) and the body mass index (BMI) of the participants was also calculated.

Results:
A total of 396 formed the study population with the males constituting 47.2% of the study population. The majority were more than 50 years of age. Evaluating the risk status of study subjects using IDRS, the higher IDRS risk score was seen in 48.2% of participants, 47.2% had moderate risk, while only 3.5% had low risk. About 54.2% (n = 198) of participants were found to have a BMI within the normal range, 18.4% were underweight, 20.5% were overweight, and obesity was seen in 6.8% of the participants. A statistically significant association was found between gender and IDRS risk status, whereas no significant association was found between BMI category and IDRS risk status.

Conclusions:
Almost half of the study participants belonged to the high-risk category using IDRS screening. For the mass screening of diabetes, IDRS seems practically feasible and acceptable.
Association between macrophage migration inhibitory factor-173G/C polymorphism and psoriasis risk: A meta-analysis
Authors: Qi Junhua , Zhang Yu , Zhang Lvya , Nie Gang 
Published: May 2023

Background
The association between macrophage migration inhibitory factor (MIF)-173G/C polymorphism and psoriasis risk has been reported in several studies with inconsistent conclusions.

Aims
This study aims to obtain a more convincing estimate of the relationship between the MIF-173G/C polymorphism and psoriasis risk.

Methods
Web of Science, EMBASE, PubMed, Wan Fang Database and Chinese National Knowledge Infrastructure (CNKI) were searched up to September 2021 and eligible studies were collected. The pooled odds ratios with 95% confidence intervals were calculated to estimate the effects of MIF-173G/C polymorphism on psoriasis risk under different genetic models. All analyses were conducted using the STATA12.0 software.

Results
A total of 1101 psoriasis cases and 1320 healthy controls from 6 relevant studies were included in this meta-analysis. Pooled analysis suggested that MIF-173G/C polymorphism was associated with increased psoriasis risk under the allelic model (C vs. G: odds ratio = 1.30, 95% confidence interval = 1.04–1.63, P = 0.020), heterozygous model (GC vs. GG: odds ratio = 1.53, 95% confidence interval = 1.05–2.22, P = 0.027) and dominant model (CC + GC vs. GG: odds ratio = 1.51, 95% confidence interval = 1.05–2.18, P = 0.027).

Limitation
Very few studies on the MIF-173G/C polymorphism in psoriasis have been reported till now, thus the number of studies included in the present meta-analysis was relatively small. Due to the number of studies being relatively small and the lack of raw data, stratified analysis by ethnicity or type of psoriasis was not carried out.

Conclusion
This meta-analysis demonstrated that MIF-173G/C polymorphism might be related to psoriasis risk. Carriers of the C allele and the GC genotype might have higher odds to present with psoriasis.
REACTION OF BORIC ACID WITH BENZYLAMINE
Authors: Строкова С.В. , Ленский М.А. , Ожогин А.В. , Корабельников Д.В. , Усков В.Г. , Петров М.А. , Горшков Д.С. , Квасков Д.В. , Балахнина А.В. 
Published: May 2023

Исследована реакция борной кислоты (I) с бензиламином (II) в смеси растворителей о-ксилол-ДМСО. Обнаружено, что взаимодействие борной кислоты c бензиламином приводит к образованию поликомплекса (III а) бороксина с первичным ароматическим амином при азеотропной отгонке воды. Использование ДМСО необходимо в качестве промежуточного, инертного, высококипящего растворителя. Изучена структура полученного соединения методами ЯМР 1H, 11B и ИК-спектроскопии, элементного анализа. Исследована его термическая и термоокислительная деструкция, характеристическая вязкость. Полученное соединение обладает высокой термостойкостью как в инертной, так и в окислительной средах. Поликомплекс (III а) растворим в полярных органических растворителях (N,N-ДМФА, ДМСО, этиловый, изопропиловый спирты и другие.)
The reaction of boric acid (I) with benzylamine (II) in a mixture of solvents o-xylene-DMSO was investigated. It was found that the reaction of boric acid with benzylamine leads to the formation of a boroxine polycomplex (III a) with a primary aromatic amine during azeotropic water distillation. The use of DMSO is necessary as an intermediate, inert, high-boiling solvent. The structure of the obtained compound was studied by NMR 1H, 11B and IR spectroscopy, elemental analysis. Its thermal and thermo-oxidative degradation, characteristic viscosity are investigated. The resulting compound has high temperature resistance in both inert and oxidizing environments. Polycomplex (III a) is soluble in polar organic solvents (N,N-DMFA, DMSO, ethyl, isopropyl alcohols and others.)
REVIEW OF RESEARCH IN VISUAL TESTING OF WEB INTERFACES BASED ON ARTIFICIAL INTELLIGENCE METHODS
Authors: Спиридонов В.В. , Бубарева О.А. 
Published: May 2023

Благодаря современным достижениям в области искусственного интеллекта (ИИ) и машинного обучения, а также их применения для тестирования программного обеспечения, пересечению ИИ и тестированию уделяется пристальное внимание. Статья посвящена обзору автоматизированного визуального тестирования с помощью методов искусственного интеллекта. Целью работы является обзор исследований применения искусственного интеллекта для тестирования web-приложений. В литературе по тестированию графического пользовательского интерфейса (GUI) особое внимание уделяется тестированию функциональности системы через ее графический интерфейс, а не тестированию визуальных аспектов самого графического интерфейса. В этой статье вводится понятие визуального тестирования как подмножества тестирования графического интерфейса. Чтобы исследовать визуальное тестирование, проведено исследование дефектов в четырех системах с открытым исходным кодом.The purpose of the research is to study artificial intelligence tools and technologies for analyzing, processing and comparing With recent advances in artificial intelligence (AI) and machine learning, and their applications to software testing, the intersection of AI and testing is getting a lot of attention. The article is devoted to an overview of automated visual testing using artificial intelligence methods. The aim of the work is to review the research on the use of artificial intelligence for testing web applications. The graphical user interface (GUI) testing literature focuses on testing the functionality of a system through its GUI rather than testing the visual aspects of the GUI itself. In this article, we introduce the concept of visual testing as a subset of GUI testing. To explore visual testing, we conducted a defect study on four open source systems. We have found that visual defects account for 16% to 33% of reported defects in these systems. Two categories of visual defects are distinguished with six subcategories within each of them. Other findings are also reported to motivate the importance and need for systematic visual testing among researchers and practitioners.
NeRF IN REINFORCEMENT LEARNING FOR IMAGE RECOGNITION
Authors: Гайнетдинов А.Ф. 
Published: May 2023

Актуальность. В статье рассматриваются методы распознавания изображений с использованием нейронных сетей разной архитектуры, в том числе обучения с подкреплением Q-Learning. Метод. Для обучения алгоритмов и их тестирования использовались наборы изображений 6 классов лесных животных. Изучалось 6 вариаций наборов данных, отличие в которых обусловлено разной долей обучающей выборки: от 40 до 80%. Проанализировано семь методик распознавания: CNN-AE и два подхода визуального управления (NeRF-RL, DRQ-V2) обучались на основе двух- и трехмерной сверточной нейросети и Q-Learning. Результаты работы. Все испытуемые модели показывают высокий процент точности независимо от соотношения обучающей и тренирующей выборки. Минимальные результаты были зафиксированы при использовании CNN-AE, тогда как NeRF-RL и DRQ-V2 на основе двухмерных и трехмерных CNN были более точными. Обучение методов NeRF-RL и DRQ-V2 используя метод Q-Learning привел к получению наиболее точных результатов. Использование Q-Learning для обучения алгоритма NeRF-RL позволяет достичь максимальных результатов. Эта архитектура была применена для распознавания животных и распределения изображений по классам. Выводы. Таким образом, объединение алгоритмов NeRF и обучения с подкреплением является эффективным и перспективным методом распознавания изображений для использования в обработке информации со скрытых камер с целью обнаружении лесных животных.This study discusses image recognition methods that exploit different neural networks, including Q-Learning. The algorithms were trained and tested on images depicting 6 different classes of forest animals. A total of 6 image datasets with different amount of training data (40 to 80%) were taken. Here, seven image recognition techniques were analyzed: CNN-AE and two algorithms for visual continuous control (NeRF-RL and DRQ-V2), all trained on a two- and three-dimensional convolution neural network (CNN), as well as Q-Learning. All models had high accuracy; CNN-AE exhibited the lowest recognition accuracy, whilst NeRF-RL and DRQ-V2 based on 2D and 3D CNNs were more accurate. NeRF-RL and DRQ-V2 trained on data using the Q-Learning method yielded the highest accuracy. The use of Q-Learning to train the NeRF-RL algorithm provided the best result. This architecture has been applied for animal recognition and image classification into classes. Based on the research, the combination of NeRF algorithms and reinforcement learning is an effective and promising image recognition method for detecting forest animals in camera-trap images.