bluuebunny/crossref_metadata_2025 huggingface dataset:
Pemberdayaan Masyarakat Berbasis Masjid:
Authors: Lubis Balqis Mawaddah , Ningtyas Ade Izmi , Hasibuan Dini Lestari
Published: June 2023

This study aims to determine the management of the mosque, namely, the Al-Ikhlas Mosque which is located on Jl. Harmonika Setia Budi Pasar II Graha Tanjung Sari, Medan, North Sumatra. As one of the productive mosques in empowering the community. Where the management of this mosque is held by the Mosque Prosperity Board. And the type of research used is qualitative research through a descriptive approach. And from the research conducted, it shows that the empowerment managed at the Al-Ikhlas mosque is going well even though it is not optimal.

Keywords: mosque-based, community empowerment
Sanksi Pelanggaran Kode Etik Advokat
Authors: Prastio Ary Darma , Irkham M. , Lubis Fauziah
Published: June 2023

This study aims to find out what forms of violations are often committed by an Advocate. Violation becomes a problem if an advocate violates the law, because an advocate has a code of ethics that regulates it in proceedings before a court or helps resolve a case. Advocates must comply with a code of ethics and if they violate it, an advocate will receive sanctions. There are advocates who commit acts of violating the law, such as abusing their duties in defending clients so that the cases they handle win in court.

Keywords: Violation, Code of Ethics, Sanctions
Pengaruh Desentralisasi Fiskal dan Tingkat Kemiskinan terhadap Pertumbuhan Ekonomipada Provinsi Sumaterautara
Authors: Sari Novita , Harahap Isnaini , Tambunan Khairina
Published: June 2023

This study aims to find out the effect of fiscal decentralization and poverty levels on economic growth in North Sumatra province. This research uses quantitative methods, secondary data collection techniques with documentation using data from the Central Bureau of Statistics for each district/city in North Sumatra. . This study uses the SPSS statistical tool. Data were analyzed using multiple linear regression analysis method. The results of this study indicate that fiscal decentralization has a negative and significant effect on economic growth. This is evidenced by the fact that the tcount for the Fiscal Decentralization variable (-2.831) is smaller than the ttable (1.984) and the sig value is 0.006 <0.05. Poverty levels have a negative and significant effect on economic growth. This is evidenced by because the tcount for the Poverty Level variable (-2.664) is smaller than ttable (1.984) and the sig value is 0.009 <0.05, the decision is Ha2 rejected and Ho2 accepted. Meanwhile, the F test of Fiscal Decentralization and Poverty Level has a simultaneous and significant positive effect on Economic Growth. This is evidenced by the fact that Fcount is (11.334) greater than Ftable (3.94) and has a sig value of 0.000 <0.05. Meanwhile, in testing the coefficient of determination, the R Square value is 0.602. This shows that the independent variables, namely Fiscal Decentralization and Poverty Level, are able to explain the dependent variable, namely Economic Growth of 19.1% while the remaining 80.9% is explained by other variables outside the regression model.

Keywords: Fiscal Decentralization, Poverty Level, Economic Growth
Integritas Advokat Dalam Peradilan (Perspektif Hak Asasi Manusia)
Authors: Egi, Anggi , Salsabila Nurul Afifah , Marlina Teti
Published: June 2023

According to Teaching Human Rights published by the United Nations that human rights are the inherent rights of every human being without which it is impossible for humans to live as human beings. To create a sense of justice in protecting human rights, it is necessary to provide legal assistance (advocacy) for victims. An advocate is a yurist, a jurist from a legal scholar. So, although an expert on law but not a law scholar, then he can not be said as an advocate, but can only be said as a lawyer, it is because that the lawyer can not be from a law scholar, but he is an expert in law. The research specification used in this dissertation is descriptive research specification. There are several things that have not been carried out by advocates in fact, namely in counseling services and legal information to deceive the public about the knowledge and understanding of applicable laws or legislation.

Keywords : Advocate, Human Rights, Law
Gambaran Perkembangan Moral dan Spiritual Siswa di MTs Cerdas Murni
Authors: Harahap Amanda Zulfani , Harahap Ade Chita Putri , Putri Maulida Amelia , Hasibuan Hasanah , Suryani Suryani , Hajariansyah Pratama
Published: June 2023

AAmanda Zulfani Harahap3,  Recky Pratama Hajariansyah6

1,2,3,4,5,6 Universitas Islam Negeri Sumatera Utara Medan

, 2, amandazulfaniharahap@gamil.com3,  Suryani Ulfa5,, suryani02102@gmail.com5, Reckypratama3@gmail.com6

 

ABSTRACK.

The moral and spiritual development of students at Mts Intelligent Pure is the moral development that is still low and not good which leads to negative things because there is juvenile delinquency such as dating cases. This is where the school's kids have struggled to keep the lines of demarcation between boys and girls.This can happen because of problematic families with sub-indicators of lack of attention, lack of affection, broken homes, authoritarian parents and over-affectionate parents as well as technological advancements such as the internet where children and adolescents easily access pornography, the curiosity of teenagers. The goal of this study was to learn more about the moral and spiritual growth of MTs Intelligent Pure pupils. Inductive reasoning techniques are applied in this study's qualitative research methodology. The purpose of this study is to identify the contributing causes to juvenile delinquency at MTS Smart Pure, Tembung. The results of the research conducted are to develop the moral and spiritual development of students at MTs Smart Pure in a better and positive direction and to open students' minds so they can think more broadly.

Keywords: Development, Moral, Spiritual
Keteladanan Orang Tua Dalam Proses Pembelajaran Tahfidz Siswa Kelas 6 di SDIT Darul Hijri Dramaga Bogor
Authors: Rukmawati Wapi , Sutisna Sutisna , Priyatna Oking Setia
Published: June 2023

The family is the environment where the child finds education firstly. Therefore, the role of parents in education is a direct action to supervise, control, and evaluate every child's activity. In order for children's education to be better, parents must act as educators who can set an example or model for their children. This study aims to find out how important parental exemplary is in supporting school programs, especially in the Tahfidz learning process for grade 6 SDIT Darul Hijri Dramaga Bogor. This research is a field research using qualitative methods. Sources of data used are primary and secondary data obtained using techniques such as observation, interviews, and documentation. The results of the research and discussion show that parental example is very important and there are even parents who take part in the Al-Quran program to follow and be able to control their children's memorization at home. There are even children who are able to achieve the target of memorizing one juz or more, in general, children of students who have high motivation and most importantly, these children are children who are assisted, guided by their parents at home. However, this is not shown by all children who are students at SDIT Darul Hijri Dramaga Bogor because of the lack of ability and understanding of parents towards the Al-Quran, and parents are busy at work.

Keywords: Exemplary, Parents, Tahfizh Learning
Unmasking the Social Constructions of Male and Female Narcissism in the Media: A Critical Discourse Analysis of Contemporary UK Newspaper Articles
Authors: Diri Sara
Published: June 2023

This study takes a critical discursive approach to investigate the role of gender in the portrayal of narcissism and narcissistic personality disorder (NPD) in UK media discourse. The main objective is to build a more comprehensive theoretical framework that deciphers the existing discourse on NPD, including the potential stigmatisation of specific genders and hidden assumptions of NPD. By employing a more nuanced and subjectively relevant approach, this study delves into the gender dynamics of NPD through public opinion to transcend the limitations imposed by rigid psychometric accounts and clinical studies that characterised earlier NPD literature. The NexisLexis UK online search database was accessed to search and collect UK national newspapers from the past 5 years (2017–2023). A total of nine articles consisting of 5,549 words were selected for analysis, with approximately 2,700 words allocated to each gender. Three repertoires of NPD and narcissism were identified: (a) male narcissism and traditional gender norms; (b) female narcissism as less threatening; and (c) narcissism as predominantly male. The analysis findings provide insight into the complex interaction between narcissism, gender, and the media, revealing how existing gender myths and social biases in the discourse of NPD can contribute to the perpetuation of power imbalances and gender stereotypes. The male-related repertoires are overwhelmingly dominant in the discourse, whereas the female-related ones construct the meaning of narcissism in different ways and reveal different types of subject positions for both genders. The study finds that the representations of male narcissism in the media are closely aligned with traditional gender norms and relationship expectations, contributing to the reinforcement of harmful gender stereotypes and power dynamics. While the female discourse on narcissism is portrayed as less threatening and more discreet, potentially leading to minimised recognition and treatment of NPD in women and maintaining social inequalities. Lastly, the portrayal of narcissism as a predominantly male issue may inadvertently stigmatise men while simultaneously marginalising women's experiences, limiting a comprehensive understanding of narcissism among genders. The findings of this study emphasised the importance of challenging and deconstructing traditional gender norms, harmful stereotypes, and biases in the discourse of NPD and narcissism.
Measuring Entrepreneurial Skills and Sustainability in Small Business Enterprises Post-Pandemic: Empirical Study From Cross River State, Nigeria
Authors: Ukabi Obeten B. , Uba Uba J. , Ewum Comfort O , Olubiyi Timilehin O.
Published: June 2023

In an attempt to understand the underlying factors contributing to the high failure rate of small and medium-sized businesses in Nigeria, there is a need to focus on the extent to which the entrepreneurial skills of the operators impact the businesses. Therefore, the study aims to identify entrepreneurial skills required for sustainable small business enterprises in Calabar Metropolis of Cross River State, Nigeria. Two research questions were posed to guide the study. The study adopted a descriptive survey research design, and multistage sampling techniques was observed. The stratified and accidental sampling techniques were used to arrive at the selected sample of four hundred (400) registered small business enterprises operating in Cross Rivers State. A structured questionnaire titled “Questionnaire for Entrepreneurial Skills Required for Sustainable Small Business Enterprises in Calabar Metropolis” (QESRSSBECM) was used for data collection. The Cronbach Alpha Reliability test was used to determine the reliability of the instrument, which availed a high internal consistency of the instrument at 0.76 - 0.83. Descriptive statistics was used to analyze data gathered for the research using SPSS version 21.0. The research findings revealed that risk management and ICT skills are required for sustainable small business enterprises in Calabar Metropolis in the post-covid era. It was recommended, among others, that small business enterprise operators in Calabar Metropolis and Nigeria should be trained on developing their risk management practices and ICT capacities through advocacy, on-the-job training, seminars, and conferences.
Pengaruh Produk dan Promosi terhadap Keputusan Pembelian E-Paper Bisnis Indonesia dengan Karakteristik Konsumen sebagai Variabel Intervening
Authors: Herdiyan Herdiyan , Asiati Diah Isnaini , Moelyatie Trisniarty Adjeng
Published: June 2023

Penelitian ini bertujuan untuk mengetahui pengaruh produk dan promosi terhadap keputusan pembelian e-paper Bisnis Indonesia dengan karakteristik konsumen sebagai variabel intervening. Objek dalam penelitian ini adalah pelanggan e-paper Bisnis Indonesia di 10 kota. Teknik pengambilan sampel dengan metode simple random sampling. Metode penelitian yang digunakan adalah penelitian asosiatif dengan menggunakan jenis data primer yang diperoleh dari hasil jawaban kuesioner. Teknik analisis yang digunakan adalah structural equation modeling (SEM) dengan software Lisrel. Hasil penelitian ini menunjukkan ada pengaruh positif dan signifikan produk terhadap keputusan pembelian e-paper Bisnis Indonesia, ada pengaruh positif dan signifikan promosi terhadap keputusan pembelian e-paper Bisnis Indonesia, ada pengaruh positif dan signifikan budaya terhadap keputusan pembelian e-paper Bisnis Indonesia, ada pengaruh positif dan signifikan sosial terhadap keputusan pembelian e-paper Bisnis Indonesia, ada pengaruh positif dan tidak signifikan pribadi terhadap keputusan pembelian e-paper Bisnis Indonesia, ada pengaruh positif dan tidak signifikan psikologis terhadap keputusan pembelian e-paper Bisnis Indonesia, ada pengaruh positif dan signifikan produk terhadap keputusan pembelian e-paper Bisnis Indonesia melalui budaya sebagai variabel intervening, ada pengaruh positif dan signifikan produk terhadap keputusan pembelian e-paper Bisnis Indonesia melalui sosial sebagai variabel intervening, ada pengaruh positif dan signifikan produk terhadap keputusan pembelian e-paper Bisnis Indonesia melalui pribadi sebagai variabel intervening, ada pengaruh positif dan signifikan promosi terhadap keputusan pembelian e-paper Bisnis Indonesia melalui budaya sebagai variabel intervening, ada pengaruh positif dan signifikan promosi terhadap keputusan pembelian e-paper Bisnis Indonesia melalui sosial sebagai variabel intervening, ada pengaruh positif dan signifikan promosi terhadap keputusan pembelian e-paper Bisnis Indonesia melalui sosial sebagai variabel intervening, ada pengaruh positif dan signifikan promosi terhadap keputusan pembelian e-paper Bisnis Indonesia melalui psikologis sebagai variabel intervening.
AVALIAÇÃO PROGNÓSTICA E ATUALIZAÇÕES TERAPÊUTICAS DE PACIENTES COM INSUFICIÊNCIA CARDÍACA CRÔNICA
Authors: Mendes Veloso Thamires , Arivabene Pancieri Isabella , José da Conceição Júnior Jorge , Constante Martins Luca , Nayara Ferreira Sampaio Maria , Gardini Vieira Mariana , Jubini Celestino Matheus , Altoé Bizzi Lara
Published: June 2023

A insuficiência cardíaca (IC) é uma condição clínica de inadequado bombeamento sanguíneo, sendo decorrente de causas funcionais e/ou estruturais que influenciam negativamente na pressão de enchimento e no debito cardíaco. A síndrome em questão apresenta altas taxas de morbidade e mortalidade, sendo a avaliação prognóstica e o cuidado terapêutico fundamentais no manejo de pacientes portadores da doença. Diante do exposto, o questionamento norteador desta pesquisa é: Quais são as avaliações de prognóstico de pacientes com IC crônica e quais as principais atualizações na abordagem terapêutica para a patologia citada? Esta pesquisa possui como objetivo primordial descrever a abordagem terapêutica e os métodos usados atualmente para avaliação do prognóstico dos pacientes com a síndrome. Trata-se de um estudo de revisão de bibliográfica do tipo integrativa, de caráter qualitativo e objetivo descritivo. As bases de dados utilizadas foram: PubMed, MEDLINE, LILACS e BVS, na qual foram selecionados 16 artigos. Em relação aos resultados dos estudos avaliados, 33,3% (n=5) apontaram a terapia com sacubitril/valsartana, betabloqueadores, ARMs e inibidores da SGLT2 como terapêutica mais eficaz para a IC. No tocante ao prognóstico, distúrbios hipertensivos da gravidez, câncer de mama, doença pulmonar crônica e Covid-19 são agravantes de risco quando associados a IC e biomarcadores são utilizados para auxiliar no prognóstico desses pacientes. Destarte, embora a evidência de redução da mortalidade e melhora da qualidade de vida a partir das atualizações terapêuticas abordadas, ainda se mantêm uma baixa expectativa de vida para os portadores da síndrome, além de piora da qualidade de vida destes.
Pemberdayaan UMKM Pasca Covid-19 dengan Menerapkan Metode PRA (Participatory Rural Appraisal) Melalui Penguatan Inklusi Keuangan dan Pemasaran Digital
Authors: Effendi Bahtiar
Published: June 2023

Inklusi Keuangan dan teknologi informasi dapat membantu Usaha Mikro Kecil dan Menengah (UMKM) meningkatkan kinerja serta mempertahankan keberlangsungan usaha. Inklusi keuangan membantu pemilik UMKM melakukan monitoring kinerja keuangan setiap periode, sedangkan teknologi informasi dapat dimanfaatkan untuk menjalankan fungsi pemasaran supaya dapat menjangkau konsumen yang lebih luas. Desa Mekarwangi adalah salah satu sentra penghasil ubi di Kabupaten Tangerang. Sayangnya, pemasaran yang dilakukan masih sebatas pada pedagang yang ada di Kabupaten Tangerang. Selain itu pembukuan yang dilakukan juga belum maksimal sehingga belum ada laporan yang menggambarkan kondisi keuangan UMKM dengan tepat. Program Pengabdian kepada Masyarakat dilakukan dalam beberapa tahapan kegiatan, yaitu sosialisai, pelatihan, dan pendampingan. Setelah kegiatan ini, para pemilik UMKM di Desa Mekarwangi lebih memahami tentang metode pemasaran yang dilakukan dengan menggunakan bantuan teknologi informasi melalui media sosial. Selain itu, para pemilik UMKM juga mampu memahami tentang pembuatan pembukuan sehingga dapat digunakan untuk memantau kinerja keuangan usaha mereka.
Credit and Investment support for the development of Ukraine’s agricultural and economy sector
Authors: Kovalenko Victoria , Sheludko Sergii , Semenova Valentyna , Kotsіurubenko Ganna , Danylina Svitlana
Published: June 2023

One of the key problems of the modern agricultural sector of the national economy is the achievement of stable economic growth. In this context, the system of credit and investment support occupies the main place in the expanded reproduction of this priority industry for the economy of Ukraine. The research aims to review the main trends in credit and investment provision of the agrarian sector of the national economy and to determine further investigations in this direction. It has been established that for the formation of an effective system of credit and investment support for the agricultural sector, it is necessary to consider such positions as the influence of bank lending and climate shocks on the investment decisions of farmers, global and regional trends in the direction of the gross accumulation of fixed capital and fixed assets in agriculture, mechanisms for fixing conditions for the transfer of investment resources for use by agro-industrial companies, financial inequality between the urbanized and rural areas. It has been proven that bank lending is the key tool in all forms of credit and investment support for the agricultural sector. This is especially true during the period of martial law in Ukraine. Using the method of economic and mathematical modelling, it can be argued that bank lending is a strategic financial resource in the formation of credit and investment support for the agricultural sector. A system of credit and investment support is proposed, which is primarily based on the improvement of the system of state regulation of the agrarian sector. It has been proven that to increase the level of effectiveness of the system of credit and investment provision of the agricultural sector, attention should be paid to such an instrument as project financing and a review of the very structural composition of the state regulation of agricultural production, considering the practice of European Union. Such approaches can be used by state authorities when developing a strategy for the development of the agrarian sector in the conditions of martial law and the post-war period, as well as making infrastructural changes in the process of interaction between the banking and agrarian sectors of the national economy
Investigation of the response of sweet cherries to root mycorrhisation with biologics for sustainable horticulture development
Authors: Gerasko Tetyana , Tymoshchuk Tetiana , Sayuk Oleksandr , Rudenko Yurii , Mrynskyi Іvan
Published: June 2023

Sustainable horticulture development is a priority area considering climate change, especially in the context of reduced water supply. The search for ways to regulate the resistance of fruit trees to stressors is an urgent issue for the world community. The use of beneficial microorganisms to inoculate plant roots helps reduce the use of synthetic substances and is an alternative for sustainable horticulture. The purpose of the study is to identify the specific features of the effect of root inoculation by mycorrhizal fungi on the reaction of sweet cherries to develop strategies for managing the production of fruit products. The study was conducted during 2018- 2020 in the sweet sweet cherry orchard of the southern steppe subzone of Ukraine. Such research methods as field, laboratory, biochemical, physiological, and statistical were used. The regularities of the influence of mycorrhizal fungi on the total moisture content and water-holding capacity of sweet cherry leaves were examined. In the first year of studies on endomycorrhizal root inoculation, these indicators were higher compared to the control group. The positive effect of endo-ectomycorrhiza on the waterholding capacity of sweet cherry leaves was elucidated. The total leaf surface and the content of green pigments in the leaves were determined as one of the main indicators of the photosynthetic potential of a fruit crop. The effect of inoculation of sweet cherry roots by mycorrhizal fungi on the ratio of chlorophylls (a/b) in leaves was established. The parameters of the content of total nitrogen, phosphorus, and potassium in sweet cherry leaves were determined. The use of mycorrhizal fungi increases the adaptive properties of sweet cherry trees to stressful factors, namely, arid conditions in the south of Ukraine. The research results can be used by fruit producers to improve climate-optimised technologies, which will substantially reduce risks and possible economic losses, and preserve biodiversity
Blockchain-Assisted Homomorphic Encryption Approach for Skin Lesion Diagnosis using Optimal Deep Learning Model
Authors: Rajeshkumar Kandasamy , Ananth Chidambaram , Mohananthini Natarajan
Published: June 2023

Blockchain (BC) and Machine learning (ML) technologies have been investigated for potential applications in medicine with reasonable success to date. On the other hand, as accurate and early diagnosis of skin lesion classification is essential to gradually increase the survival rate of the patient, Deep-Learning (DL) and ML technologies were introduced for supporting dermatologists to overcome these challenges. This study designed a Blockchain Assisted Homomorphic Encryption Approach for Skin Lesion Diagnosis using an Optimal Deep Learning (BHESKD-ODL) model. The presented BHESKD-ODL model achieves security and proper classification of skin lesion images using BC to store the medical images of the patients to restrict access to third-party users or intruders. In addition, the BHESKD-ODL method secures the medical images using the mayfly optimization (MFO) algorithm with the Homomorphic Encryption (HE) technique. For skin lesion diagnosis, the proposed BHESKD-ODL method uses pre-processing and the Adam optimizer with a Fully Convolutional Network (FCN) based segmentation process. Furthermore, a radiomics feature extraction with a Bidirectional Recurrent Neural Network (BiRNN) model was employed for skin lesion classification. Finally, the Red Deer Optimization (RDO) algorithm was used for the optimal hyperparameter selection of the BiRNN approach. The experimental results of the BHESKD-ODL system on a benchmark skin dataset proved its promising performance in terms of different measures.
The Effect of Pilot Reuse Factor on Massive MIMO Spectral Efficiency
Authors: Albadarn Saleh M.
Published: June 2023

Due to their much increased spatial resolution and array gain, large-scale antenna arrays have the potential to significantly enhance the spectral efficiency of wireless systems. Recent research in the area of massive Multiple-Input Multiple-Output (MIMO) antennas shows that user channels are enhanced as the number of antennas at the Base Stations (BSs) rises, allowing achieving high signal improvement with minimum inter-user interference. The combined effects of the pilot reuse factor and the BS number of antennas on average overall spectral efficiency in huge MIMO antennas will be investigated. To examine the SE of these receivers, several channel estimators will be utilized, including LMMSE, ZF, and MR methods. Theoretically, BS could offer a substantially higher average total SE if it had more antennas.
Preparation, Characterization, and Antibacterial Activity of Silver Nanoparticle-Decorated Ordered Mesoporous Carbon
Authors: Nguyen Dung Van , Nguyen Duong Thuy , Tran Vi Le Tuong , Vo Khang Dinh , Nguyen Long Quang
Published: June 2023

In this study, Ordered Mesoporous Carbon (OMC) was prepared using resol as a carbon precursor and F127 as a soft template. Small-angle X-ray Diffraction (XRD), Transmission Electron Microscopy (TEM) images, and nitrogen adsorption and desorption isotherms revealed that OMC possessed ordered hexagonal mesostructures (p6m) with an ordered pore size of 3.2nm, a high specific surface area (SBET) of 539m2/g, and a large total pore volume (Vtotal) of 0.44cm3/g. Subsequently, silver nanoparticles synthesized from an aqueous AgNO3 solution using glucose as a reducing agent and starch as a stabilizing agent were decorated on OMC, producing Ag/OMC. XRD analysis revealed that the composite contained silver crystals. In addition, the content and size of silver nanoparticles in Ag/OMC were 0.71wt% (AAS) and around 25-50nm (TEM), respectively. Due to the surface cover of silver nanoparticles, SBET and Vtotal of Ag/OMC slightly decreased to 417m2/g and 0.38cm3/g, respectively. Both agar and broth dilution techniques were used to evaluate the antibacterial activity of the material against Staphylococcus aureus. Ag/OMC with a Minimum Inhibitory Concentration (MIC) of 25.0μg/mL is a potential candidate for use against Staphylococcus aureus.
Adaptive Particle Grey Wolf Optimizer with Deep Learning-based Sentiment Analysis on Online Product Reviews
Authors: Elangovan Durai , Subedha Varatharaj
Published: June 2023

The increasing use of e-commerce websites and social networks is continually generating an immense amount of data in various forms, such as text, images or sounds, videos, etc. Sentiment analysis (SA) in online product reviews is a method of identifying the overall sentiment of customers about a specific product or service. This study used Natural Language Processing (NLP) and Machine Learning (ML) algorithms to identify and extract opinions and emotions expressed in text. Online reviews are often written in informal language, slang, and dialects, making it difficult for ML models to accurately classify sentiments. In addition, the use of misspelled words or incorrect grammar can further complicate the analysis. The recent developments of Deep Learning (DL) models can be used for the accurate classification of sentiments. This paper presents an Adaptive Particle Grey Wolf Optimizer with Deep Learning Based Sentiment Analysis (APGWO-DLSA) method to accurately classify sentiments in product reviews. Initially, data pre-processing was performed to improve the quality of the product reviews using the word2vec embedding process. For sentiment classification, the proposed method used a Deep Belief Network (DBN) model. Finally, the hyperparameter tuning of the DBN was performed using the APGWO algorithm. An extensive experimental analysis demonstrated the improved results of APGWO-DLSA over other methods, showing a maximum accuracy of 94.77% and 85.31% on the Cell Phones And Accessories (CPAA) and Amazon Products (AP) datasets.
A Deterministic Finite-State Morphological Analyzer for Urdu Nominal System
Authors: Alblwi Abdulaziz , Mahyoob Mohammad , Algaraady Jeehaan , Mustafa Khateeb Syed
Published: June 2023

The morphological analyzer is a computational process that combines lemmas with other linguistic features to produce new lexical word forms. This paper investigates the processing of a nominal system in the Urdu language. It focuses on the inflections of noun forms and studies number, gender, person, and case representations, using a Finite State Machine (FSM) to analyze and create all the possible forms of the standardized registers. The application of the analysis using this tool provides and displays all the possible structures and their declensions. This study adds all the necessary features and values to the lexical concatenating nouns according to their patterns. The accuracy score of the output is 92.7, where the actual output depends on the detailed design of the FSM and the specific morphological processes provided to the finite state tools.
Dynamic Keystroke Technique for a Secure Authentication System based on Deep Belief Nets
Authors: Aljahdali Asia Othman , Thabit Fursan , Aldissi Hanan , Nagro Wafaa
Published: June 2023

The rapid growth of electronic assessment in various fields has led to the emergence of issues such as user identity fraud and cheating. One potential solution to these problems is to use a complementary authentication method, such as a behavioral biometric characteristic that is unique to each individual. One promising approach is keystroke dynamics, which involves analyzing the typing patterns of users. In this research, the Deep Belief Nets (DBN) model is used to implement a dynamic keystroke technique for secure e-assessment. The proposed system extracts various features from the pressure-time measurements, digraphs (dwell time and flight time), trigraphs, and n-graphs, and uses these features to classify the user's identity by applying the DBN algorithm to a dataset collected from participants who typed free text using a standard QWERTY keyboard in a neutral state without inducing specific emotions. The DBN model is designed to detect cheating attempts and is tested on a dataset collected from the proposed e-assessment system using free text. The implementation of the DBN results in an error rate of 5% and an accuracy of 95%, indicating that the system is effective in identifying users' identities and cheating, providing a secure e-assessment approach.
A Detailed Study on the Analysis and Design of Geotextile Reinforced Earth Embankments
Authors: Kumar Amit , Burman Avijit , Choudhary Shiva Shankar
Published: June 2023

The design of a steep reinforced slope with an adequate Factor Of Safety (FOS) is a classical geotechnical problem. While designing a reinforced soil slope, it is necessary to accurately determine the tensile force to be resisted by the reinforcement to achieve the target FOS value and the length of the geotextile reinforcement to be provided at the top and bottom of the embankment and perform all the required safety checks. This paper presents an MS Excel spreadsheet using Visual Basic Programming that can be used to perform all the analyses required to design geotextile reinforced soil slopes, considering static and seismic loading conditions. This spreadsheet is capable of searching many slip surfaces repeatedly using Bishop's simplified method to determine the maximum tensile force to be resisted by the reinforcement, its top and bottom lengths, and performs deep-seated failure analysis to identify slip surfaces beyond the reinforced zone. This paper reports the results of an illustrative example to highlight all the above-mentioned issues. The results were also compared with the design charts reported in previous studies. The proposed platform can successfully perform all the necessary analyses to design both homogenous and non-homogenous embankments with geotextile reinforcements.
Comparison of the Charpy Resilience of Two 3D Printed Materials: A Study on the Impact Resistance of Plastic Parts
Authors: Zisopol Dragos Gabriel , Ion Nae , Portoaca Alexandra Ileana
Published: June 2023

Charpy impact testing is a widely used method for the evaluation of the toughness of materials, including 3D-printed plastic parts. This study performed Charpy test on 3D-printed samples made of PLA and ABS. Factors such as layer thickness and infill percentage varied (0.10, 0.15, and 0.20mm layer height and 50, 75, and 100% infill percentage) to investigate how they affect the mechanical properties of 3D printed parts, including their toughness.
Application of Advanced Deep Convolutional Neural Networks for the Recognition of Road Surface Anomalies
Authors: Doan Van Dong
Published: June 2023

The detection of road surface anomalies is a crucial task for modern traffic monitoring systems. In this paper, we used the YOLOv8 network,- a state-of-the-art convolutional neural network architecture, for real-time object recognition and to automatically identify potholes, cracks, and patches on the road surface. We created a custom dataset of 1044 road surface images in Vietnam, each of which was annotated with pavement anomalies, and the YOLOv8 network was trained with this dataset. The results show that the model achieved an accuracy of 0.56 mAP at a threshold of 0.5, indicating its potential for practical application.
Controlling Employability Issues of Computing Graduates through Machine Learning-Based Detection and Identification
Authors: Alheadary Wael G.
Published: June 2023

The unemployment rate of graduate students in the area of computing is tremendously growing. One of the main reasons is the difference between the acquired skills from universities and the skills required from industry which is looking for potential graduates who can work in the digitally transforming framework of today’s society. Many studies have been conducted to emphasize the issue of unemployment utilizing traditional approaches. However, these methods are time-consuming and difficult to bring into effect, while involving a lot of effort, which had no definite influence or impact on the studies to date. Hence, this study proposes a predictive artificial intelligent model through the use of a conceptual framework called Intelligent Collaborative Framework, addressing the gap between university computing graduates and the industry needs. This model is achieved via machine learning classifiers to recognize the issue and solve the problem between university computing graduates' and employers’ expectations. In addition, the study identifies the required skills for computing graduate students to be employed in the industry. Several experiments were conducted using a dataset gathered from two computing departments and through a survey done among the graduates. The experiment results show that the ADA, SVM, and LR outperform the other classifiers. The model performance accuracy reached 89% for F1-Score. In addition, the best features (computing and training courses) were identified using the SelectKBest. The mutual information gain can assist in quickly obtaining jobs.
Sustainable Hybrid Design to Ensure Efficiency and Air Quality of Solar Air Conditioning
Authors: Alquraish Mohamed , Abuhasel Khaled
Published: June 2023

This research work aims to investigate and subsequently optimize the operating parameters that affect thermal comfort and indoor air quality in the school environment. The proposed design uses a coupling between solar ventilation and the absorption chiller-air conditioning. The heating tower of an adsorption chiller connected to an air conditioning system can be driven by the waste heat from a solar ventilation (exhausted hot air) system thank to this linkage. In order to simulate variables like the velocity magnitude distribution in the air-conditioned room, mathematical modeling is numerically executed. Air temperature evolution along the height of the conditioned room in the mid-length and the air velocity evolution along the length of the conditioned room in the mid-height are studied. According to the numerical simulation results, the inlet air temperature soars as the inlet air velocity rises. Inlet air velocities of 0.05m/s, 0.5m/s, and 1m/s are correlated with inlet air temperatures of 20.7°C, 21.2°C, and 21.3°C, respectively. We conclude that an inlet air velocity in the order of 1m/s (in relation to a maximized air change rate) is in agreement with the general ASHRAE standards for indoor air quality in the case of the school environment, coupled with the essential need to limit as much as possible the spread of viruses.
A Research on the Load Calculation Method in Designing the Traction Power Supply for Integrated Subway – MCR
Authors: Doan Van Dong
Published: June 2023

This paper presents a load calculation method in the design of a traction power supply for integrated subways. Integrated subways have a large carrying capacity and the ability to balance between meeting travel needs and satisfying conditions such as high quality service, cost optimization for railway infrastructure construction, and installation of traction power systems. In an integrated model, the calculation of the traction power supply design is much more complicated than in other stand-alone models. This paper presents the research results on the load calculation method of a traction power supply for the operation of the system. The results show the feasibility of the method when applied to an asynchronous loading system and met the standards of IEEE P1653.2, EN 50328, and IEC 60146-1 in the design of the power supply for permitted overloads according to class VI.
Free Vibration Analysis of Steel-Concrete Pervious Beams
Authors: Kumar Prashant , Kumar Ajay
Published: June 2023

This study investigated the free vibration analysis of steel-concrete porous beams with partial or complete shear interface using a finite-element model based on the cubic order beam theory. The present model assumes uniform porosity distribution along the beam thickness. It is assumed that the axial displacement will vary cubically along the thickness of the layer. The cubic order beam theory is implemented using a continuous C0 finite element containing three nodes and each node has eight degrees of freedom. Shear locking is eliminated in the present model by the numerical integration of the stiffness matrix. Comparing the present model with the published literature, it is found that the present model is robust in predicting the free vibration of the steel-concrete porous beam.
Standards of Distinctions between National and Foreign Arbitral Awards: A Discussion in The Light of Libyan Current Legislation
Authors: Omar Nayed Murad Idris
Published: June 2023

Arbitration is a legal process in which disputes between two or more parties are resolved by an  impartial third party, known as an arbitrator, rather than by a court of law. In the context of this  article, the legal approaches distinguishing between domestic and foreign arbitral award are  very important and they differ from one arbitration law to another. By using doctrinal legal  research methodology, this article aims to examine the legal approaches distinguishing between  domestic and foreign arbitral awards in the context of Libya. Both primary and secondary  sources are used and then analysed using critical and analytical approaches. In order to  determine the legal nature and nationality of an arbitral award, the paper has found that there  are several approaches in the study of this issue. The Libyan approach is quite outdated as it is  not in line with recent developments in the field of arbitration and international trade.  Therefore, it is recommended that Libyan lawmakers are encouraged to adopt a comprehensive  approach such as the one followed by the Model Law on International Commercial Arbitration  2006. This is vital to cope with the developments adopted by modern arbitration laws.
THE RELATIONSHIP BETWEEN PRESCHOOL TEACHERS' TECHNOLOGICAL PEDAGOGICAL CONTENT KNOWLEDGE SELF-CONFIDENCE AND ATTITUDE TOWARDS TECHNOLOGY
Authors: ÇÖREKCİ Ezgi Düriye , ÜNAL Muhammed , BORA Ahmet
Published: June 2023

The purpose of this study is to examine the relationship between preschool teachers' technological pedagogical content knowledge (TPACK) confidence and their attitude towards technology. In addition, it was aimed to examine whether preschool teachers' technological pedagogical content knowledge and its sub-dimensions predict teachers' attitudes towards technology. The study group consists of 200 preschool teachers who teach 36-72-month-old preschool children in the 2020-2021 academic year. This study is a quantitative study designed in the single and relational screening model, one of the general screening models. The data were collected using the "Technological Pedagogical Content Knowledge Self-Confidence Scale (TPACKACKS)", "Attitude Towards Technology Scale" and "Personal Information Form". The data obtained were analyzed with SPSS 26.0 and JASP 0.16 programs and normality test, Pearson Correlation test and multiple linear regression analysis methods were used. As a result of the study, when the relationship between preschool teachers' attitudes towards technology and technological pedagogical content knowledge and sub-factors of it was examined, a significant positive relationship was found. When the other findings obtained from the research were examined, it was concluded that the relationship between preschool teachers' attitude towards technology scores and technological content knowledge sub-dimension scores was relatively low compared to other sub-dimensions.
AN EVALUATION OF CHANGE MANAGEMENT COMPETENCIES OF BASIC EDUCATION SCHOOL ADMINISTRATORS (THE CASE OF AKDENIZ DISTRICT, MERSIN)
Authors: YOKUŞ Mehmet , BULUT Erdal , KÜÇÜKUSTA Halil , TEKİN Zülfikar
Published: June 2023

This research aims to determine the competency levels of school administrators serving in public basic education schools in change management in terms of determining the need for change in school, preparing the school for the change process, implementing change in school, and evaluating the change, according to the perceptions of school administrators and teachers. In addition, the study aims to determine whether the perceptions of participants in each dimension differ by gender, age, and seniority variables. The research population consists of teachers and administrators working in basic education schools affiliated with the Ministry of National Education in the Akdeniz District of Mersin Province. The study population includes 90 basic education schools (primary and secondary schools). In these basic education schools, there are 1280 teachers and 195 school administrators (principals and vice principals). The number of teachers included in the sample representing them was 222, and the number of administrators was 101. A Questionnaire for Evaluating School Administrators’ Change Management Competencies, developed by the researcher, was administered to the research participants. The collected were analyzed using the SPSS program. To determine whether the competency levels of school administrators in change management differed by position and gender based on the participants’ perceptions, t-tests were applied, and to determine whether they differed by seniority and age, ANOVA tests were employed. The research findings indicated that according to the perceptions of public basic education school administrators, the administrators demonstrated high competencies in change management in the dimensions of determining the need for change in school, preparing the school for the change process, implementing the change in school, and evaluating the change. According to teachers’ perceptions, the administrators had high competency in all dimensions of change management.
Investigation of the Tooth Profile for Screw Compressor Considering Leakages by Simulating in CFD
Authors: Dhrumilkumar Valand  , Dr. K. K. Bhabhor  , Dr. D. B. Jani  , Mr. Timir Gandhi  , Mr. Bharat Prajapati
Published: June 2023

The positive displacement twin-screw compressor is used to compress gases to modest pressures. Internal leakage is a fundamental issue with screw compressors. The design and performance are impacted by the phenomenon of leakages across various clearances. The experimental processes are costly and time-consuming to manufacture screw compressor. The performance of various tooth profiles of screw compressor can be determine by utilising CFD. The aim of study is to develop screw compressor profiles in solid modelling software and numerical analysis in CFD. The change in the flow rate, clearance, and tooth profile and by considering other parameter, like pressure velocity and temperature, the clearance between the male-female and casing can be adjusted and hence the scope of improvement considering the actual phenomena taking place within the screw compressor. By modifying the input parameter the losses between the internal leakages and the functional issues with the screw compressor can be minimize
Study Indicating the Exigency for the Rejuvenation of the Kanamriver in Kannur District, Kerala, India
Authors: Divya. S. Rajan  , Adithya C
Published: June 2023

The Kanam river of the Kannur district originating from Ayyappanmala at Mundery Panchayath, and flows through various areas such as Elayavoor, ThazheChovva, and Kannur corporation limits. The river was filled with soil from the nearby farms and coastal communities become totally spoiled by the wastes. Research works pertaining to this study site is very scanty.In this context, the physico-chemical analysis of the Kanam River, Kannur, Kerala was determined.The objective of the study was to investigate the seasonal variations of physico-chemical parameters such as temperature, pH, transparency, hardness, primary productivity, ammonia, carbon dioxide, dissolved oxygen, biological oxygen demand and chemical oxygen demand.The study indicates that there is a pronounced variation of most of the water quality parameters with variations in season. There are numerous causes including increasing number of industries and various other anthropogenic activities in the neighbouring regions, global climatic change that led to the degradation of the quality of water. The findings of the present study also provide a better understanding of this damaged ecosystem and remind the need for its restoration and it also suggest the need for the starting up of a Rejuvenation strategy.