bluuebunny/crossref_metadata_2025 huggingface dataset:
Tourist attractiveness of rural communes in the functional urban area of Olsztyn – a voivodship city
Authors: Hakuć-Błażowska Anna , Kupren Krzysztof
Published: August 2022

Motives: Tourist potential is determined by the presence of tourism-related assets, the level of tourismoriented development and the transport accessibility of an area. The dominant role in lake zones is played by their natural assets, mainly in rural areas with potential for the development of ecotourism, nature tourism and the implementation of sustainable tourism. A position relative to an urban centre, especially a provincial city, is the decisive factor for development opportunities in rural communes.
Aim: The aim of the study was to analyse and compare the tourist attractiveness of rural communes in the functional urban area of Olsztyn – a provincial city.
Results: The study was conducted by means of multidimensional comparative analysis with synthetic measures. The commune of Stawiguda, rich in natural and cultural assets and with good transport accessibility, proved to be the area with the highest tourist attractiveness (0.662). On the other end of the spectrum, the commune of Dywity achieved the lowest score (0.475) despite the best utilisation of its position neighbouring an urban centre.
Incorporation of mechanisms for providing green environment post COVID-19
Authors: Mamatha Elliriki , Mahadikar Amardeepak , Anand Krishna , Krupakara Palur V. , Sekhar Reddy Chandra
Published: August 2022

It has been observed that the damage to the environment caused has grown multi-fold in recent years especially with the exponential rise in population. The sad part of it lies with the fact that no part of earth be it the mountains or oceans or plains have been spared. In order to predict the global climate change, a number of models have been developed over the years. All reliable models clearly indicate the overall deterioration in the quality of air levels. The geographical distribution of precipitation changes at different places leading to changes in water availability. Living a healthy life in a clean environment has soon become a distant dream for the common man. To add to the same, the arrival of Corona virus in the year 2019 has put human life in the doldrums as its contagious and fast spreading nature has put day to day life on hold besides causing deaths and forcing people to throng to hospitals at a rapid rate not witnessed during the recent past. On the other hand, the outbreak of the COVID-19 Pandemic had a positive impact on the environment as most of the highly polluted cities witnessed a clear blue sky. Air Quality Index (AQI) and Particulate Matter (PM2.5) levels in all the major cities improved during the lockdown period. However, with life slowly limping back to normal, there is a dire need to ensure that humans do not go back to their old ways of polluting the environment. The way of work needs to change in each and every type of industry. This paper focuses on mechanisms for providing a green enterprise transformation for some of the commonly functioning industries post COVID-19 times. The research study focused on a specific country in Asian continent, and it can be extended to other countries/continents.
Present security of the neighbourhood urban parks considering SARS-CoV-2 potential spreading – A case study in Ursynów district in Warsaw
Authors: Kaczyńska Małgorzata
Published: August 2022

Motives: It is expected that COVID-19 pandemic will impact future design, use and perception of urban green spaces such as public parks. How to facilitate residents’ safe use of the urban green spaces and reduce health risks has become important question to consider by landscape architects and municipal authorities responsible for the public green areas resources. This research focuses on examination of urban parks of a typical residential district of a large city in terms of their security in time of COVID-19 pandemic.
Aim: In urban parks of Ursynów district in Warsaw were assessed: quality and present security and possibilities of re-adjustments to increase their security.
Results: Ursynów district has good quality, accessible parks. Larger parks offer picnic areas and shelters, have more than one, entrance and paths with widening for benches. All playgrounds are enclosed with gates to install dispenser for hand sanitization. Gates and knobs are made of metal allowing frequent disinfection. Benches and tables are usually properly distanced and those in shelters may be marked ‘for visitors from one social bubble only’ but in the future an emphasis should be put on more scattered pattern of park furniture. All parks are equipped with trash cans, but usually open or semi-closed, which should be avoided.
The Stability Comparison of Whitening Containing Kojic Acid and Glycolid Acid with The Same Cream Base
Authors: Ferilda Siska
Published: August 2022

This study is an experimental study of stability of creams containing kojic acid and glycolic at 2% using the same cream base. Cream containing kojic acid and glycolic acid are often used as skin whitening. The cream made is observing changes in organoleptic properties, pH, viscosity and homogeneity in storage for 6 weeks. Observations of organoleptic properties including discoloration and cream odor, pH examination using pH meter, viscosity examination using viscometer Brookfield with a spindle speed of 20 rpm while for homogeneity examination using a metallograph with a magnification of 200x. The results showed that base creams and cream containing kojic acid showed better stability on organoleptic observations compared to cream containing glycolic acid. The pH of the cream containing kojic acid is less stable than the cream containing glycolic acid. Viscosity of cream containing kojic acid is more stable than cream containing glycolic acid. On homogeneity testing each cream looks homogeneous. In this study it can be concluded that cream containing kojic acid has better stability than cream containing glycolic acid.
Inflammatory factors and immunoglobulins alterations in subjects with type 2 diabetes mellitus treated with squalene
Authors: Martirosyan Danik , Ashoori Mohammad Reza , Mikaeili Afsaneh Seyed , Pezeshki Shaghayegh , Serani Anna , Lee Michelle , Mirmiranpour Hossein
Published: August 2022

Background: Squalene is a 30-carbon (as a polyunsaturated triterpene) compound that has been suggested to have several benefits. In recent years, its anti-diabetic, anti-inflammatory and antioxidant effects have been studied.Objective: The aim of this study was to investigate the effect of different doses of squalene on different days on the changes in the levels of inflammatory cytokines and antibodies in people with type 2 diabetes and then compare it.Methods: In this study, 4 groups with type 2 diabetes mellitus and 1 control group were selected. 4 groups with type 2 diabetes mellitus were divided into 1 diabetic group without squalene consumption for 84 days and 3 diabetic groups treated with squalene in doses of 200, 400 and 600 mg, respectively for 84 days. The levels of Interleukin-1 alpha, Interleukin-1 beta, Interleukin-4, immunoglobulin A, immunoglobulin G, immunoglobulin M, and as well as the glucose of all participants were measured by Enzyme-linked immunosorbent assay method. Results: On days 14 and 28, a statistically significant difference (P value < 0.05) was observed in the level of Interleukin-1 alpha and Interleukin-4 in groups 3, 4 and 5 compared to group 2. This significant difference in the levels of interleukin-1 beta and immunoglobulin A was observed only on days 56 and 84. No statistically significant difference (P value > 0.05) was observed in the levels of immunoglobulins G, M, and glucose during the consumption of squalene between the groups.Conclusions: According to the time and dose, squalene can be effective in reducing inflammatory factors and increasing immunoglobulin A. However, additional studies are needed for the action mechanism and the effect of squalene.Keywords: squalene, triterpene, interleukin, immunoglobulin, diabetes mellitus
Möglichkeiten und Grenzen der Optimierung von Verfahren Tiefer Interpretation durch Softwareunterstützung
Authors: Schäffer Burkhard
Published: August 2022

In dem Beitrag werden Parallelen aufgezeigt zwischen Verfahren des sog. Deep Learnings im Kontext von künstlicher Intelligenz (KI) und gängigen Ablaufschemata im Bereich qualitativ-rekonstruktiver Verfahren empirischer Sozialforschung: Methodologien wie die Dokumentarische Methode, die Objektive Hermeneutik, die Grounded Theory oder das Narrationsstrukturelle Verfahren haben alle mehr oder weniger nicht methodisierbare Bereiche, auf die mit Begriffen wie Abduktion oder Intuition eingegangen wird. Die Parallele zur KI wird in den sog. Hidden layers gesehen, also den verborgenen Schichten algorithmischer Berechnung bei sprachverarbeitenden Systemen, die von Informatiker*innen ebenfalls nicht oder nur unter unverhältnismäßig großem Aufwand rekonstruiert werden können. Vor diesem Hintergrund werden die angesprochenen qualitativ-rekonstruktiven Methodologien als Verfahren Tiefer Interpretation rekonstruiert und abschließend ein Forschungsprojekt vorgestellt, welches eruiert, inwiefern eine QDA1-Software für das Interpretieren mit der Dokumentarischen Methode (DokuMet QDA2) durch KI unterstützt werden kann.
Circ_0091822 aggravates ox-LDL-induced endothelial cell injury through targeting the miR-661/RAB22A axis
Authors: Zhu Lingfeng , Zhao Ping , Meng Xianwei , Jin Hong , Tuo Baojuan
Published: August 2022

BACKGROUND: Endothelial dysfunction is considered to be an important factor in the pathogenesis of atherosclerosis. Circular RNAs (circRNAs) have been confirmed to participate in the development of atherosclerosis. Nevertheless, the role and mechanism of circ_0091822 in atherosclerosis have not been studied yet. METHODS: The expression of circ_0091822, miR-661 and RAB22A were analyzed by quantitative real-time polymerase chain reaction (qRT-PCR). The levels of interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α) were estimated by enzyme-linked immunosorbent assay (ELISA). Cell viability was analyzed by Cell Counting Kit-8 (CCK-8) assay, cell proliferation was evaluated by EdU assay, and cell apoptosis was gauged by flow cytometry. Western blot was performed to assess the protein levels of Bax, Cleaved-caspase-3 and RAB22A. The interaction among miR-661 and circ_0091822 or RAB22A was verified by dual-luciferase reporter assay RESULTS: Ox-LDL enhanced the expression of circ_0091822 in HUVECs. It also constrained proliferation, promotes apoptosis and inflammation in HUVECs, and down-regulation of circ_0091822 attenuated these effects. Mechanically, circ_0091822 could serve as a sponge of miR-661, miR-661 interference rescued circ_0091822 inhibition-mediated effect on the biological functions in ox-LDL-induced HUVECs. Additionally, RAB22A was a target of miR-661, and its overexpression could partially overturn the negative regulation of miR-661 on ox-LDL-treated HUVECs injury. Importantly, circ_0091822 sponged miR-661 to positively regulate RAB22A expression. CONCLUSION: Circ_0091822 contributed to cell injury by targeting miR-661/RAB22A axis in ox-LDL-stimulated HUVECs.
Novel multi objective evolutionary framework for solving next release problem
Authors: Ghasemi Mohsen , Bagherifard Karamollah , Parvin Hamid , Nejatian Samad
Published: August 2022

Software developers want to meet the requirements of customers in next versions. Choosing which set of requirements can be done according to cost and time is an NP-hard problem known as Next Release Problem (NRP). In this article, a multi objective evolutionary algorithm (MOEA) framework is proposed to solve NRP. The framework applies the non-repetitive population, integrates solutions and external repository. Furthermore, a novel approach is implemented to satisfy the constraints of the problem. In this framework, six evolutionary algorithms are implemented and using seven quality indicators, the achieved results of that algorithms are compared with the original versions of same algorithms. Through using HV (the ratio of the region covered by Pareto Front) and NDS (the number of solutions in the Pareto Front) metrics, the effects of the proposed algorithms are compared with other works’ results. The efficacy of the proposed MOEA framework is measured using three real world datasets. The gained results represent that the implemented algorithms perform better than other related algorithms previously published.
Power generation forecasting using deep learning CNN-based BILSTM technique for renewable energy systems
Authors: Anu Shalini T. , Sri Revathi B.
Published: August 2022

This paper presents the design of a grid connected hybrid system using modified Z source converter, bidirectional converter and battery storage system. The input sources for the proposed system are fed from solar and wind power systems. A modified high gain switched Z source converter is designed for supplying constant DC power to the DC-link of the inverter. A hybrid deep learning (HDL) algorithm (CNN-BiLSTM) is proposed for predicting the output power from the hybrid systems. The HDL method and the PI controller generates pulses to the proposed system. The superiority of the proposed hybrid DL method is compared with the conventional DL methods like CNN, LSTM, BiLSTM methods and the performance of the hybrid system is validated. A closed loop control framework is implemented for the proposed grid integrated hybrid system and its performance is observed by implementing the PI, Fuzzy and ANN controllers. A 1.5Kw hybrid system is designed in MATLAB/SIMULINK software and the results are validated. A prototype of the proposed system is developed in the laboratory and experimental results are obtained from it. From the simulation and experimental results, it is observed that the ANN controller with SVPWM (Space vector Pulse width Modulation) gives a THD (Total harmonic distortion) of 2.2% which is within the IEEE 519 standard. Therefore, from the results it is identified that the ANN-SVPWM method injects less harmonic currents into the grid than the other two controllers.
RETRACTED: A novel discrete elephant herding optimization for energy-saving flexible job shop scheduling problem with preventive maintenance
Authors: Liu Lu , Sun Qiming , Jiang Tianhua , Deng Guanlong , Gong Qingtao , Li Yaping
Published: August 2022

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
RETRACTED: Knee osteoarthritis severity grading using vision transformer
Authors: Alshareef Esam Alsadiq , Ebrahim Fawzi Omar , Lamami Yosra , Milad Mohamed Burid , Eswani Mohamed S.A. , Bashir Sedigh Abdalla , Bshina Salah A.M. , Jakdoum Anas , Abourqeeqah Asharaf , Elbasir Mohamed O , Elbahrit Ellafi.A.
Published: August 2022

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
An intelligent multivariate block steganography framework with enhanced PSO based on chaos mapping
Authors: Radhakrishnan C. , Asokan R.
Published: August 2022

To safeguard private information, image steganography is extensively used. Research is focused on ways to enhance steganographic technologies so that they may increase compression ratio while maintaining steganography image integrity. Because of its essential qualities such as security, scalability, and robustness, Steganography is a preferred way of communicating protected secret information to prevent hacking and misuse. This proposed research offers a steganography approach based on Enhanced Chaotic Particle Swarm Optimization (ECPSO), which uses chaos theory to determine the optimal pixel positions in the cover picture to hide confidential information when keeping the steganography quality in the images. Both the cover and secret pictures are separated into blocks to increase hiding capacity, with each component storing a sufficient quantity of secret data by mapping the pixels. The suggested ECPSO-Stegano system has better results with the criteria of Mean Square Error (MSE) of 0.00018%, Peak-Signal-to-Noise-Ratio (PSNR) of 79.66%, Bit Error Rate (BER) of 0.45% in average, and Structural Similarity Index (SSI) of 0.98 in average for various input size. It’s also robust to statistical threats.
Bilingual Corpus-based Hybrid POS Tagger for Low Resource Tamil Language: A Statistical approach
Authors: Senthamizh Selvi S. , Anitha R.
Published: August 2022

In India, most of the Science and Technology resources available are in English. Developing an Automatic Language Translation Engine from English (source language) to Tamil (target language) is very essential for the people who need to get technical resources in their native language. The challenges in designing such engines using Natural Language Processing (NLP) tools include Lexical, Structural, and Syntax level ambiguity. To solve these challenges, the development of a Part-Of-Speech (POS) tagger is essential. The Verb-Framed languages like Tamil, Japanese, and many languages in Romance, Semitic, and Mayan languages families have high morphological richness but lack either a large volume of annotated corpora or manually constructed linguistic resources for building POS tagger. Moreover, the Tamil Language has a low resource, high word sense ambiguity, and word-free order form giving rise to challenges in designing Tamil POS taggers. In this paper, we postulate a Hybrid POS tagger algorithm for Tamil Language using Cross-Lingual Transformation Learning Techniques. It is a novel Mining-based algorithm (MT), which finds equivalent words of Tamil in English on less volume of English-Tamil bilingual unannotated parallel corpus. To enhance the performance of MT, we developed Tamil language-specific auxiliary algorithms such as Keyword-based tagging algorithm (KT) and Verb pattern-based tagging algorithm (VT). We also developed a Unique pair occurrence-tagging algorithm (UT) to find the one-time occurrence of Tamil-English pair words. Our experiments show that by improving Context-based Bilingual Corpus to Bilingual parallel corpus and after leaving one-time occurrence words, the proposed Hybrid POS tagger can predict 81.15% words, with 73.51% accuracy and 90.50% precision. Evaluations prove our algorithms can generate language resources, which can improve the performance of NLP tasks in Tamil.
Improved color image defogging algorithm based on dark channel prior
Authors: Shi Haosu , Han Lina , Fang Linbo , Dong Huan
Published: August 2022

An improved algorithm of image defogging was proposed based on dark channel prior in order to solve the low efficiency and color distortion in the bright area using original algorithm. If the image contains large areas of bright areas such as sky, white clouds or partial white objects and water surface, we can know that the dark channel prior theory does not apply to these areas. Firstly, it is necessary to clear the bright area of the image. According to principle that he adjacent pixel attributes have similarity, the image transmittance of the local region also has similarity, Block function is Consruted. Applied the dark channel prior, judging whether each block includes a bright area by the absolute value of difference of atmospheric intensity and dark channel, the dark and bright areas of the image are obtained. So the estimation value of the adaptive space transmittance are also obtained. Secondly, the transmittance of bright region is small and it causes deviation, so the enhancement formula is used to modify it dynamically. In order to preserve the edge details after image restoration, for bright areas, using texture function to optimize transmittance independently, for others, using gradient and texture function together. Finally, it restored the fog-free image applying the atmospheric scattering model. The experimental results showed that the restored image had obvious details and rich color and fast processing speed through the proposed algorithm. The algorithm can also be applied to outdoor visual systems, such as video surveillance, intelligent traffic and so on.
Prevalence of fatigue and its explicative variables among people with multiple sclerosis
Authors: Royer Nicolas , Duboeuf Marine , Camdessanché Jean-Philippe , Millet Guillaume Y.
Published: August 2022

BACKGROUND: Fatigue is the most prevalent symptom among people with multiple sclerosis (PwMS). Although exercise effectively reduces fatigue, the relationship between daily physical activity and fatigue has only recently been demonstrated. OBJECTIVE: The aim of this study was to evaluate the prevalence of fatigue and to understand the relationship with several variables in French PwMS. METHODS: Data were collected from 191 PwMS using Modified Fatigue Impact Scale (MFIS) and Fatigue Severity Scale (FSS) for fatigue, and the Godin Leisure-Time Exercise Questionnaire (GLTEQ) for physical activity. RESULTS: 110 PwMS (57%), 35 PwMS (18%) and 46 PwMS (24%) were considered as fatigued, non-fatigued and in the grey zone, respectively. Greater physical activity was observed in non-fatigued PwMS (20.2±19.8) compared to fatigued PwMS (12.5±14.1). FSS and MFIS scores were associated with physical activity (r = –0.28 and r = –0.25, respectively, p < 0.05). Using multivariate analysis, disability, physical activity and being unemployed explained 21% of the variance of the MFIS. CONCLUSIONS: The present study confirms that physical activity and fatigue are associated. Disability and unemployment status should also to be consider when assessing fatigue. Activity-oriented health policies should be redesigned to improve fatigue among PwMS.
Detecting and learning city intersection traffic contexts for autonomous vehicles
Authors: Gao Jerry , Wang Dayong , Lin Chia-Ping , Luo Chenyi , Ruan Yuanyuan , Yuan Meng
Published: August 2022

According to Business Wire, the global market for Autonomous Vehicles estimated at 6.1 thousand Units fpsin the year 2020, is projected to reach a revised size of 110.1 thousand Units by 2026, growing at a CAGR of 60.6% over the analysis period. This strong demand brings more research interests in autonomous vehicle systems. One of the hot topics is autonomous machine vision system and intelligent solutions. Most existing papers on autonomous vehicle machine vision systems apply machine learning models to address automatic object detection and classification issues to support automatic street traffic object detection and classification for vehicles, people/animal, traffic road signs, and signals. However, there is a lack of research results addressing automatic detection and classification of road contexts and transportation intersections under diverse weather conditions. In this work, we present an integrated machine learning model to address the issue and need in street intersection detection and classification based on road contexts and weather conditions. This paper reports our efforts in data collection, processing, and training based on existing data sets (such as BDD100k and COCO), and add a new training data set on street contexts and intersections (13 classes) and weather conditions (6 classes). This paper proposes a 2-stage integrated model to support the detection and classification of different types of traffic contexts and transportation intersection. In the first stage, two deep learning models (Yolo4 and Mask CNN) with transfer learning technique are used to detect the traffic signs, traffic lights, crosswalk and road direction targets on the road in addition to mobile objects (such as people and cars). Later, the generated results from the first stage are used as inputs to a decision tree model to detect and classify the different types of underlying transportation intersections. According to presented experimental results, the proposed 2-stage model receives a high accuracy, so it has strong potential application in computer vision technology of autonomous driving.
Work-related musculoskeletal disorders among Jordanian physiotherapists: Prevalence and risk factors
Authors: Mansour Zaid M. , Albatayneh Ruba , Al-Sharman Alham
Published: August 2022

BACKGROUND: Musculoskeletal complaints associated with work are common health problems among physiotherapists due to overload exposure and unsuitable postures. OBJECTIVE: To assess work-related musculoskeletal disorders (WMSDs) among Jordanian physiotherapists and investigate the factors that might increase the risk of having WMSDs among physiotherapists by using the ICF model as a guiding framework. METHODS: A cross-sectional study was conducted on 139 physiotherapists. Participants’ ages ranged from 23 to 61 years with 53.2% who identified as female. To assess WMSDs the Quick Exposure Check was used. Furthermore, depression, sleep, social support and job satisfaction were all assessed using Beck Depression Inventory, Pittsburgh Sleep Quality Index, Multidimensional Scale of Perceived Social Support, and Minnesota Satisfaction Questionnaire, respectively. Furthermore, age, gender, body mass index (BMI), educational level, smoking status and marital status were also collected from all participants. RESULTS: The results showed that the most common musculoskeletal complaints were as follows: 100% of the participants reported overload occurrence in the cervical spine, 97.9% in the lumbar spine, 96.5% in the shoulder joint, and 24.1% in the wrist joint. There was a significant negative correlation between total exposure and gender. Also, total exposure was significantly and positively correlated with BMI and the Minnesota Satisfaction Questionnaire (MSQ). CONCLUSION: This study suggests a need to increased knowledge of self-protection strategies among physiotherapists to reduce the occurrence of musculoskeletal disorders. Understanding the factors that might increase WMSDs is useful for future research, quality improvement, and educational programs to reduce the rates of WMSDs among physiotherapists.
Legal Effectiveness of The Supreme Court Regulation on Sharia Economic Dispute Settlement in West Java Religious Court
Authors: Himayasari Neng Dewi , Anshori Arif Rijal , Maulida Ira Siti Rohmah
Published: August 2022

Religious Courts are given the authority to settle sharia economic disputes in Article 49 of Act Number 03, 2006 about Religious Courts and has been confirmed by the decision of the Constitutional Court number 93/PUU-X/2012. Implementation the Supreme Court is given attributive authority to fill legal voids because the settlement of sharia economic disputes carried out by the Religious Courts does not yet have a formal law so that there is a legal vacuum. To realize the principle of a simple, fast and low-cost trial, the Supreme Court issues various legal policies, one of which is in the form of a Supreme Court Regulation. This research examines the legal certainty and benefits of the Supreme Court Regulations, as well as measures the effectiveness or not of the Supreme Court Regulations in resolving Sharia economic disputes in court institutions. This type of research is qualitative with an empirical normative approach. The focus of the research that will be examined is the fulfillment of the factors of legal effectiveness against the Supreme Court Regulation on Sharia economic disputes in the religious courts of West Java, these factors are interrelated and are a benchmark for the effectiveness of law enforcement. The urgency of this research is to explain the legal certainty and benefits of the Supreme Court Regulations in realizing and shaping the aspired legal culture.Keyword: Supreme Court Regulation, Legal Effectiveness, Sharia Economic Dispute, Religious Court Abstrak.Pengadilan keagamaan diberikan otoritas untuk menyelesaikan perselisihan ekonomi syariah dalam artikel 49 tindakan nomor 03, 2006 tentang Pengadilan Agama dan telah dikonfirmasi oleh keputusan Pengadilan Konstitusional nomer 93/PUU-X/2012. Implementasi Mahkamah Agung diberikan otoritas atributif untuk mengisi kekosongan hukum karena penyelesaian sengketa syariah dilakukan oleh Pengadilan Agama belum memiliki hukum formal sehingga ada kekosongan hukum. Untuk menyadari prinsip dari sidang sederhana, cepat dan rendah biaya, Mahkamah Agung mengeluarkan berbagai kebijakan hukum, salah satunya dalam bentuk Peraturan Mahkamah Agung. Penelitian ini mencakup kepastian hukum dan manfaat dari Peraturan Mahkamah Agung, serta mengukur efektivitas Pengadilan Tinggi dalam menyelesaikan perselisihan ekonomi syariah di lembaga pengadilan. Jenis penelitian ini kualitatif dengan pendekatan normatif. Fokus penelitian yang akan diperiksa adalah pemenuhan dari faktor-faktor legal terhadap Peraturan Pengadilan Tinggi sengketa ekonomi syariah di Pengadilan Agama Jawa Barat, faktor-faktor ini terhubung dan merupakan tolak ukur untuk efektivitas penegakan hukum. Urgensi penelitian ini adalah untuk menjelaskan kepastian hukum dan manfaat dari Peraturan Mahkamah Agung dalam mewujudkan dan membentuk budaya hukum yang diinginkan.Kata Kunci: Regulasi Mahkamah Agung, Efektivitas Legal, Sengketa Ekonomi Syariah, Pengadilan Agama
Islamic Sex Education Program: Transformasi Pendidikan Pesantren Guna Mencegah Terjadinya Kekerasan Seksual di Kalangan Santri
Authors: Alfedo Juan Maulana , Nugraha Xavier , Putri Dita Elvia Kusuma
Published: August 2022

The phenomenon of sexual violence still occurs even in Islamic boarding schools where the victims are students. This would not be in accordance with the essence of the pesantren, even against the teachings of Islam rahmatan lil'alamin. This article is a legal article with a statutory approach, a conceptual approach, and a case approach. In this article, it was found that cases of sexual violence that occurred in the pesantren environment could also be caused by the lack of preventive measures against sexual violence in Islamic boarding schools, for example in the form of sexual education (sex education). Therefore, Islamic boarding schools must transform according to the needs and challenges of the times, one of which is by intensifying sexual education for students in accordance with the values of Islamic teachings. The Islamic Sex Education Program is an effort to prevent sexual violence in Islamic boarding schools through a curriculum that is in accordance with international standards that is packaged in an Islamic way using modern, fun and easy to reach teaching methods for students.Keywords: Islamic Boarding Schools; Islamic Sex Education Program; Sexual Violence to Student at Islamic Boarding Schools. Abstrak    Fenomena kekerasan seksual masih terjadi bahkan di lingkungan pesantren dengan korbannya adalah santri. Hal tersebut kiranya tidak sesuai dengan esensi pesantren, bahkan telah bertentangan dengan ajaran Islam rahmatan lil’alamin. Artikel ini merupakan artikel hukum dengan pendekatan peraturan perundang-undangan (statute approach), pendekatan konseptual (conceptual approach), dan pendekatan kasus (case approach). Melalui artikel ini, ditemukan bahwa kasus-kasus kekerasan seksual yang terjadi di lingkungan pesantren juga dapat disebabkan karena kurangnya tindakan pencegahan kekerasan seksual di pondok pesantren, misalnya berupa pendidikan seksual (sex education). Oleh karenanya, pesantren harus bertransformasi sesuai kebutuhan dan tantangan zaman, salah satunya dengan mengintensifkan pendidikan seksual (sex education) kepada para santri yang sesuai dengan nilai-nilai ajaran agama Islam. Islamic Sex Education Program merupakan upaya pencegahan kekerasan seksual di pesantren melalui kurikulum yang sesuai standar internasional yang dikemas secara islami dengan menggunakan metode pengajaran yang modern, menyenangkan dan mudah untuk dipahami para santri.Kata Kunci: Pesantren; Islamic Sex Education Program; Kekerasan Seksual di Kalangan Santri
Relasi Agama dan Negara Perspektif Muhammad Amien Rais
Authors: Nadliroh Tri Amanatun
Published: August 2022

The state of Indonesia is a unitary state, with different religions, ethnicities, races, cultures, and customs but still one. However, the discourse on the relationship between religion and the state is a discourse that has never been completed since ancient times even today. Islam and the state are issues of ijtihadiyah. This study aims to identify and understand Muhammad Amien Rais's thoughts regarding the relationship between religion and the state. The research method uses qualitative methods with a literature approach. The results of the study state that the relationship between religion and the state according to Amien Rais is the realization of the teachings of Islam that have been explained in the Shari'a, but still requires a state as the authority holder that implements the law that has been determined and applies to its people. In the view of Islam, the state is the guardian of sharia so that it does not experience distortions and deviations as well as with principles such as good deliberation, justice, democracy, and so on, as long as they do not conflict with the rules of syara' contained therein.Keywords: Relationship; Religion; Country AbstrakNegara Indonesia adalah negara kesatuan, berbeda-beda agama, suku, ras, budaya, dan adat akan tetapi tetap satu. Akan tetapi diskursus tentang relasi agama dan negara adalah suatu wacana yang tidak pernah selesai dari zaman dahulu bahkan sampai saat ini. Agama Islam dan negara merupakan persoalan ijtihadiyah. Penelitian ini bertujuan untuk mengetahui dan memahami pemikiran Muhammad Amien Rais terkait relasi antara agama dan negara. Metode penelitian menggunakan metode kualitatif dengan pendekatan literatur. Hasil penelitian menyatakan bahwa relasi antara agama dan negara menurut Amien Rais adalah realisasi ajaran-ajaran agama Islam yang telah dijelaskan dalam syariat, namun tetap membutuhkan suatu negara sebagai pemegang otoritas yang melaksanakan penerapan hukum yang telah ditentukan dan berlaku untuk masyarakatnya. Dalam pandangan agama Islam, negara adalah penjaga syariah supaya tidak mengalami distoris dan penyelewengan serta dengan prinsip-prinsip seperti musyawarah yang baik, keadilan, demokrasi, dan sebagainya, selama tidak bertentangan dengan aturan syara’ yang terkandung didalamnya.Kata Kunci: Relasi; Agama; Negara
Pemisahan Maqashid Syariah dari Ilmu Ushul Fiqh dan Pengaruhnya Pada Penetapan Hukum Islam Kontemporer
Authors: Hambari Hambari , Ayuniyyah Quroh
Published: August 2022

One of the concerns that exist in the maqashid as-syariah (the aims of the Islamic law) is the relationship between the principles of jurisprudence (ushul al-fiqh) and the objectives of the law disciplines. In this sense, scholars have contested the subject. Some of them consider that the purposes of the Islamic law is a part of the jurisprudence, while the others opine that both of them are independent sciences. This essay aims to investigate the issue by using inductive analytical technique. Among the most noteworthy outcomes reached in this investigation are as follows. First, the Ulama who understood that the purposes of the law is part of the jurisprudence include Imam Shatibi, Sheikh Abdullah ibn Bayyah, and Numan Jaghim. Second, the Ulama who saw the independence of the aims of the law of jurisprudence include Imam Muhammad al-Tahir ibn Ashur, Ahmad al-Raisuni, Ismail Hasani, Muhammad al-Habib Ibn al- Khuja and Jasser Auda. In addition, based on the examination of the two viewpoints, it can be argued that the second position creates space to aid the process of constructing contemporary Islamic law. Other than that there is a note of the need to improve the rules in it so that it does not have a negative influence.Keywords: Separation; Maqashid Syariah; Ushul Fiqh; Contemporary of Islamic Law Abstrak.Salah satu permasalahan yang ada dalam Maqashid Syariah (tujuan-tujuan hukum syariah) adalah terkait hubungan antara ilmu Ushul Fiqh dan ilmu Maqashid Syariah, para ulama telah mendiskusikan masalah tersebut, beberapa dari mereka berpendapat bahwa Maqashid Syariah itu bagian dari ilmu Ushul Fiqh, dan beberapa dari mereka yang percaya bahwa Maqashid Syariah merupakan ilmu mandiri yang terpisah. Oleh karena itu, penulis mencoba mengkaji masalah tersebut. Dalam penelitian ini menggunakan pendekatan analitik induktif. Di antara hasil yang dicapai dalam penelitian ini adalah sebagai berikut. Pertama, sebagian Ulama yang melihat bahwa Maqashid Syariah adalah bagian dari Ushul Fiqh beberapa di antaranya adalah Imam Syatibi, Syekh Abdullah bin Bayyah, dan Numan Jaghim. Kedua, para ulama yang melihat kemandirian Maqashid Syariah beberapa di antaranya adalah Imam Muhammad al-Tahir Ibn Ashur, Ahmad al-Raisuni, Ismail Hasani, Muhammad al-Habib Ibnu al-Khuja dan Jasser Audah. Selain itu berdasarkan analisis kedua pendapat tersebut diperoleh kesimpulan bahwa pendapat kedua membuka ruang untuk mempermudah pada proses penetapan hukum Islam kontemporer dan menjadi catatan perlunya untuk mengokohkan aturan di dalamnya sehingga tidak menimbulkan dampak negatif.Kata kunci: Pemisahan; Ilmu Maqashid Syariah; Ilmu Ushul Fiqh; Hukum Islam kontemporer
Strategi Penyelesaian Pembiayaan Bermasalah Pada PT Bank Syariah Indonesia
Authors: Purnama Al Abror Bilqis Aris , Iswandi Irvan
Published: August 2022

Indonesia is fighting against Covid-19 by modifying several policies, namely the 2020-2024 National Medium-Term Development Plan (RPJMN). This policy has an impact on policies in the Islamic banking sector in distributing financing. The purpose of this study is to explain the factors of the emergence of non-performing financing in the world of Islamic banking and the anticipation and efforts made to resolve non-performing financing. This research method is qualitative, with a normative and empiricist approach. The data was obtained through a study of legislation and field observations. The results of the study stated that the number of customers was divided into two categories, namely the light category and the heavy category. Each of these categories will be carried out stages of completion of non-performing financing. These stages are the billing stage, the restructuring stage and the redemption stage. The factors causing non-performing financing at PT Bank Syariah Indonesia are based on internal factors originating from the bank and external originating from the customer.Keywords: Non-performing Financing; Islamic Bank AbstrakIndonesia berjuang melawan Covid-19 dengan memodifikasi beberapa kebijakan yakni Rencana Pembangunan Jangka Menengah Nasional (RPJMN) 2020-2024. Kebijakan itu berdampak pada kebijakan dalam sektor perbankan syariah dalam menyalurkan pembiayaan. Tujuan penelitian ini adalah untuk menjelaskan faktor-faktor timbulnya pembiayaan bermasalah di dunia perbankan syariah dan antisipasi serta upaya-upaya yang dilakukan untuk menyelesaikan pembiayaan bermasalah. Metode penelitian ini adalah kualitatif, dengan pendekatan normatif dan empirisi. Data diperoleh melalui telaah peraturan perundang-undangan dan observasi di lapangan. Hasil penelitian menyatakan bahwa jumlah nasabah dibagi dalam dua kategori, yakni kategori ringan dan kategori berat. Masing-masing kategori tersebut akan dilakukan tahapan penyelesaian pembiayaan bermasalah. Tahapan tersebut yakni tahap penagihan, tahap restrukturisasi dan tahap penebusan. Faktor-faktor penyebab pembiayaan bermasalah pada PT Bank Syariah Indonesia berdasarkan faktor internal yang berasal dari pihak bank dan eksternal yang berasal dari pihak nasabah.Kata Kunci: Pembiayaan Bermasalah; Bank Syariah
Exploration and Practice of Examination Reform of Higher Vocational Colleges under the Credit System
Authors: Zhai Huizuo
Published: August 2022

The credit system reform is a major driving force for the development of higher vocational colleges, which is conducive to cultivating students' personality development, creating a more relaxed learning environment and promoting the development of technical education in higher vocational colleges. Under this background, this article studies the influencing factors of the credit system reform of higher vocational colleges, analyzes its driving force, searches for the future development path, so as to expand the future development space of vocational colleges, enable higher vocational colleges to cultivate more outstanding qualified talents for the society, and gather successful experience of the credit system reform in China's education field.
Risk Assessment as a Stage of Risk Management of the Financial and Budgetary Security of the Region in the Context of the Sanctions War of Western Countries against Russia (on the Example of the Kirov Region)
Authors: Kyzyurov M. S.
Published: August 2022

The article presents the author’s methodology for assessing the risks of the financial and budgetary security of the region, based on the synthesis of the indicative approach, the minimax method and the method of normalizing indicators. The purpose of the article is to develop a new approach to diagnosing threats to financial and budgetary security, assessing the level of risk of these threats at the mesolevel. During the research, such methods as analysis, synthesis, indicative analysis, minimax method, normalization method were used. The article discusses approaches to the content of risk management activities, examines in detail the issue of the concept of risk, its essential features. Further, the author examines the existing methods for assessing risks in the field of financial and fiscal security, on the basis of which the author proposes a threat-oriented approach to risk assessment, the author examines the main threats to financial and fiscal security that have become more relevant after the introduction of new Western sanctions against Russia against the backdrop of a special military an operation aimed at the denazification and demilitarization of Ukraine, as well as the protection of the population of Donbass from attacks by neo-Nazi formations. To assess the risk of implementation of each of the threats, indicators were selected, and the average threshold value, minimum and maximum threshold levels were determined. In total, it was proposed to use 10 indicators, with the help of which, on the basis of the developed methodology, an assessment of the risks of financial and budgetary security of the Kirov region was carried out. During the diagnostics, the risks of financial and budgetary security of the Kirov region were identified. The methodology proposed in the article can be used by public authorities in order to increase the efficiency of risk management of the financial and budgetary security of the region.
XIX International Professional Forum “Risk Management — New Calls”
Authors: Editorial Article
Published: August 2022

.
First record of Brongersma's toad Barbarophryne brongersmai (Anura, Bufonidae) in the central High Atlas Mountains, Morocco
Authors: Fattah A. , Atif K. , El Alami A.
Published: August 2022

Brongersma’s toad Barbarophryne brongersmai is known in the southern Moroccan Atlantic coast, in the Anti–Atlas, in the arid plain of Marrakech, and in several localities in North–western Algeria. However, its distribution in Morocco is far from clear and its range is not well known. We report a new record of B. brongersmai in Morocco, in the region of the central High Atlas. The habitat type in this region is different from areas where the species has been observed previously. It consists of temporary ponds, located between rock outcrops and filled by stormy rains or snow during the winter. We recommend conducting surveys to collect additional information about this toad in other Moroccan regions, such as in the Middle Atlas where suitable conditions for this species may exist.

Dataset published through Zenodo (Doi:
Prediction Modelling Through Chaotic Approach on Ozone (O3) Pollutant Time Series in Shah Alam City
Authors: RUSLAN AHMAD BASRI
Published: August 2022

Studies on Ozone (O3) particles and their effect have become a significant concern. Exposure to high concentrations of O3 can cause an adverse reaction in the human respiratory system. Therefore, this study aims to predict the monthly O3 time series in the highly populated area of Shah Alam through a chaotic approach. The phase space plot and Cao methods successfully detected the chaotic behaviour O3 time series data. The three parameters are determined before the prediction process: time delay t, embedded dimension m, and nearest neighbour k. This study used t=1 and the value of m is calculated through the Cao method. The last parameter that needs to be determined is by graph plotting k versus correlation coefficient(cc). The combination of parameters t and m will be used for prediction, and the performance measure will be recorded. The prediction process is done using three non-linear methods, namely LMAM, LLAM and ILLAM. LMAM gives the best prediction value by using the combination of parameter t and the value of the performance measure is 0.8486. Trial-and-error method, m = 6, LMAM gives cc = 0.8977 with k = 17, LLAM gives cc = 0.8033 with k =1, and ILLAM gives cc = 0.8265 with k =24. Mean-top-bottom method, m = 9, LMAM gives cc = 0.8863 with k =10, LLAM gives cc = 0.8841 with k = 6 and ILLAM gives cc = 0.9370 with k = 22. This finding indicates that the O3 time series can be predicted using a chaotic approach and the improved method in determining the value can compute better prediction performance.
Review of Efficiency CMOS Class AB Power Amplifier Topology in Gigahertz Frequencies
Authors: Sapawi Rohana
Published: August 2022

This paper reviewed the efficiency of CMOS class AB power amplifier topology especially in gigahertz frequencies. CMOS class AB power amplifier is a compromise between class A and class B in terms of linearity and efficiency between 50% to 78.5%. However, CMOS class AB power amplifier cannot have good linearity and efficiency simultaneously due to the breakdown in gate-oxide voltage and effects from hot carrier. The breakdown of oxide prevents optimum drain signal and the effect from hot carrier will reduce the quality of the overall PA design. Several works from year 1999 to 2019 with different topology such as multiple gated transistor, cascode, feedforward linearization, differential circuit, transformer combining method with common source harmonic termination and combination of a dual-switching transistor with a third harmonic tuning technique are discussed and the performances of the power amplifier are compared. The best three CMOS class AB power amplifier topologies were chosen in terms of high efficiency. The topologies are two stages with integrated input and interstage matching, Doherty amplifier combined with drain modulation based architectures and self-biased cascode topology that obtained power added efficiency of 45%, 43% and 42%, respectively. Key performance indicators for class AB power amplifier include frequency, power added efficiency, gain and output power are also discussed in this paper.