bluuebunny/crossref_metadata_2025 huggingface dataset:
Language Style of Moslem Teenagers’ Captions in Instagram Post
Authors: Murwantono Didik , Shaliha Zulfa Amila , Atmantika Zanuar Hakim , Wantasen Isnawati Lydia
Published: April 2024

The existence of computing technology along with the development of language science, mainly the popularization of broadband internet is undeniably true among modern Indonesian teenagers. It has caused the explosion of language styles to spread and communicate faster and faster. This study is aimed to describe and analyze the language styles used by Indonesian teenagers in Instagram post. Through a descriptively qualitative approach, this study used document analysis by gathering the data qualitatively and presenting them descriptively. The instruments of this study were caption documents from Indonesian teenagers’ accounts. Their average ages were 14 to 21 years old. The technique of data analysis was identifying, data display, drawing and verifying conclusion. The results show that there are four of five language styles as follows: Formal style, Consultative style, Casual style, and Intimate style. The Casual style is the mostly used by the Instagram teenager users. It is 40%. In short, the Indonesian teenagers enjoyed the Instagram post as a social media for expressing their feelings and impressions. The potential utility of Instagram is a platform for constructive dialogue and a tool for social and entertainment purposes.
ة َ ي ِ َقاف الْ َ و ِض و ُ ر َ الْع ْ َي ْلم ِ َظِْم ع ة ِِف ن َ ي ِ ا
Authors: نور الدين سامل كمبه علي
Published: April 2024

فهذا نظم ومسته بعنوان )الكافية يف نظم علمي العروض والقافية( شرعت فيه بتوفيق من هللا تعاىل، بعد أن قمت بتدريس مادة العروض والقافية لطالب اجلامعة األمسرية ــ حرسها هللا ــ سنة 2014 ــــ2015 م، فوجدت طالاب يتشغفون لدراسة العلم املنظوم، ولعل دراسة شرح ابن عقيل املقرر عليهم يف دراسة النحو كانت هي الباعث على ذلك، فآليت على نفسي أن أنظم علم العروض يف رجز بسيط، جيمع املعلومة ويبسطها، وجيعلها يف متناول املتلقي أبعذب عبارة، فاخرتت له من املراجع ما هو يف متناول الطالب، وهو كتاب على العروض والقافية للدكتور عبد العزيز عتيق، منشورات دار النهضة العربية، بريوت طبعة سنة 1405هـ، 1985م، ليكون هو مرجعي يف النظم، نظرا ملا رأيت يف هذا الكتاب من إملام اتم هبذا العلم، وملا فيه طريقة عرض تريح الطالب والراجع إليه، فاعتمدت ترتيبه وتعريفاته إال ما رأيت أنه أنفع للطالب، من تقدمي كل ما يتعلق ابلقافية وعيوهبا وأنواعها، وكذلك الدوائر على اخلوض يف البحور وأوزاهنا وأعاريضها وأصرهبا.
IBN AL-ALSIKKĪT AND HIS LINGUISTIC CONTRIBUTION TO HIS BOOK IṢLĀḤ AL-MANṬIQ
Authors: ABBOUD Saleḥ
Published: April 2024

Ibn al-Sikkīt (d. 244 AH / 858 AD) considers Abū Yūsuf Yaʿqūb one of the imams and scholars of the Arabic language in the third AH/ ninth century AD, and he was the Kūfī school of thought, and he is one of those involved in controlling the rules of the language and the standards of its correct words, and he has great contributions in confronting the phenomenon of linguistic melody in his age One of his most important printed books that we have received and that deals with the Arabic language is the book Iṣlāḥ alManṭiq, which left an impact on many linguists after him. The book printed with investigation: Aḥmad Muḥammad Shākir and ʿAbd al-Salam Hāron. The research acquires its importance by revealing what distinguished Ibn al-Sikkīt in his linguistic efforts through his material in the book Iṣlāḥ al-Manṭiq It also contributes to understanding the prevailing linguistic situation in his time. In his dictionary, that is in controlling the linguistic morphology and Language error. The research monitors the issue of ancient Arab grammarians dealing with manifestations of linguistic weakness and Language error in the era of Ibn al-Sikkīt through his contributions in that, and divides the research into an introduction that reviews Ibn al- Sikkīt translation and definition of his linguistic books, then the research presents a set of issues that Ibn al- Sikkīt dealt with in his book Reform of Logic, all the way to the rules that he adopted in it, then the research concludes with a brief conclusion that presents its most prominent conclusions
The case of non-industry driven apprenticeship schemes and the digitalization of their administration at the Malta College of Arts, Science and Technology (MCAST, Malta)
Authors: Montalto Marco , Agius Christina
Published: April 2024

This study, being conducted as part of the EU4DUAL project, of which the Malta College of Arts, Science and Technology (MCAST, Malta) is a project partner, seeks to understand what MCAST thinks are the pros and cons of having apprenticeship schemes which are not industry-driven, as is the case here at MCAST, and whether, from the College’s perspective, the transition to digital is making the administrative processes involved with regard to the apprenticeship schemes here at MCAST easier or harder.
Dual higher education in Croatia: a long way to go
Authors: Turk Marko
Published: April 2024

The paper aims to present the dual higher education regulatory status in Croatia. It delineates the distinction between dual education and dual higher education, highlighting the latter's absence in Croatia's framework despite a robust vocational model at EQF levels 3 and 4. The analysis illuminates policy gaps and suggests aligning terminologies, amending legislative acts, and phased implementations to bridge these gaps. It underscores the need for policy adjustments to meet workforce demands and European standards, signifying a critical area for Croatia's educational enhancement.
A hazai általános iskolás tanulók Minecraft használati szokásainak vizsgálata
Authors: Bősze Brigitta , Devosa Iván
Published: April 2024

A Microsoft Minecraft, mint digitális játék és oktatási segédeszköz jelen van számos magyar oktatási intézményben. Kíváncsiak voltunk arra, hogy az általunk elérhető gyerekek viszonyulása milyen ehhez az eszközhöz. A felmérésünk eredményei alátámasztották a szakirodalomban leírtak: - a Minecraft, mint digitális játék egyre nagyobb népszerűségnek örvend az általános iskolai tanulók körében, nemtől függetlenül. - a Minecraft játék is alkalmas arra, hogy elmossa a határokat a munka-tanulás-játék között, így intrinzik motivációt alakítson ki a használatára. - a Minecraft nevű játék alkalmas oktatási céllal történő felhasználásra.
Miért hatékony a fizikai gondolkodás : Kepler III. törvényének hat aspektusa
Authors: Nagy Péter
Published: April 2024

A fizika kivételes hatékonyságát a világ megértésében az adja, hogy egyrészt több eltérő elvi út mentén matematikailag szabatos elméleti modelleket kínál, másrészt nagyon pontos kísérleti eredményeket produkál és e két vonatkozás egymást erősítve és segítve halad előre a mind pontosabb leírás felé. A fizika erejét és megbízhatóságát mutatjuk be azáltal, hogy hat teljesen különböző módon tudtunk eljutni Kepler III. törvényéhez.
A Covid-generáció felzárkóztatása
Authors: Katona János , Nagy Kem Gyula
Published: April 2024

Különösen nehéz azoknak a mérnökjelölt hallgatóknak a helyzete, akik a koronavírus-járvány alatti időszakban voltak középiskolások, és a lezárások miatt a középiskola egy tekintélyes részét online végezték el. Ebben a cikkben konkrét példákkal illusztráljuk a gondokat. Megkíséreljük feltárni a gondolkodásbeli és tárgyi hiányosságok okait. Javaslatokat teszünk a felzárkóztatás lehetséges módszereire.
Egy viselkedésgazdaságtani kísérlet tapasztalatai a tantermi órákon és a kutatásban
Authors: Valociková Cyntia , Csongrádi Gyöngyi , Miskolczi Péter , Kolnhofer-Derecskei Anita
Published: April 2024

A játékelmélet az alkalmazott matematika és közgazdaságtan jól működő ötvözete, mely sikeresen alkalmazható a társadalomtudományok terepén is. Tanulmányunkban a legismertebb játékelméleti helyzet, a fogolydilemma alkalmazási lehetőségeit tárgyaljuk abban az összefüggésben, hogy a modell hogyan kapcsolható össze az altruista viselkedés vizsgálatával. Egyfelől rámutatunk, hogy a fogolydilemmát használták már a bizalom (mint az altruizmus alapja) megszületésének vizsgálatára elméleti megközelítésben. Bemutatjuk továbbá egy olyan tantermi kísérletet, amely hallgatók bevonására épül és számos aspektusban lehet fontos a közgazdaságtant oktató vagy kutató szakemberek számára. A játék használható bizonyos gazdasági jelenségek illusztrálására, lehet a hallgatói elköteleződést segítő tanulási eszköz, illetve szolgálhat egy, az altruizmust vizsgáló viselkedés-gazdaságtani kísérlet „priming” szakaszaként is, mely a hallgatókat saját önző vagy önzetlen viselkedésük sikeres vagy sikertelen következményeivel szembesíti. A kísérletet egy bevezető közgazdaságtan tantárgy 278 hallgatójának részvételével folytattuk le, és összefoglaljuk annak első tapasztalatait, mely elsősorban azokat segíti, akik maguk is beépítenék azt saját oktatási vagy kutatási gyakorlatukba.
Az indiai terrorszervezetek finanszírozási tendenciái
Authors: Kasznár Attila
Published: April 2024

A tanulmány célja napjaink egyik legjelentősebb biztonságpolitikai kihívásának, a terrorizmus finanszírozásának Indiában megvalósuló fő formáinak bemutatása. A kérdéskör Magyarországon nem tartozik a tudományos érdeklődés középpontjába. Ugyanakkor az indiai terrorszervezetek a terrorfinanszírozás majdnem minden formáját megvalósítják. Az egyes nagyobb terrorista csoportok szervezett bűnözői tevékenysége új tendenciákat mutat meg a terrorizmusban és a szervezett bűnözésben. A terrorfinanszírozás indiai formái rávilágítanak a terrorizmus mély gazdasági vonatkozásaira.
Borravalóadási szokások Magyarországon
Authors: Fenyvesi Éva , Kovácsné Székely Ilona , Polák-Weldon Réka
Published: April 2024

Célunk a magyar fogyasztók borravalóadási szokásainak vizsgálata, különös tekintettel a nők és férfiak borravalóadási különbségeire. A primer kutatás során csaknem 500 személyt kérdeztünk meg. Legfőbb eredményeink szerint a jövedelmi helyzet és a borravaló nagysága mindkét nem esetében negatív korrelációban van egymással. A leginkább adott borravaló mértéke 5-10% között van. A fogyasztók borravalóadási hajlandóságát elsősorban a társadalmi elvárások (a szokásjog és jó színben feltűnni egy társaságban) határozzák meg
The Physiological Role of Parathyroid Hormone and Serum Calcium in Odontogenesis Stunting Children; Cross-sectional Analysis of Children Attending Dental OPD and Paediatric Ward at LUMHS
Authors: Shadab  , Munwar Baloch  , Sana Javed Khoso  , Faiz Muhammad Khoso  , Sajid Ali Majeedano  , Fida Baloch
Published: April 2024

Objectives: To determine serum PTH and serum calcium levels among children with delayed eruption of permanent teeth, attending the dental OPD at LUMHS.

Methodology: A cross-sectional study was conducted with the assistance of the Physiology Department, LUMHS, in collaboration with the Clinical Ward, Pediatric and Dental Wards, and D-R Lab, LUMHS, from March to August 2022. Children up to 18 years old, corresponding to the period of active odontogenesis and growth, diagnosed with odontogenesis stunting characterized by delayed or disrupted tooth development, as confirmed by clinical examination and radiographic imaging, visiting the dental outpatient department (OPD) were included. Blood samples for PTH and serum calcium levels were obtained with the informed consent of parents. Parathyroid Hormone was considered normal from 10 to 55 picograms/ml.

Results: A total of 250 children were studied, with an overall mean age of 12.24 ± 12.0 years. Males comprised 60.4%, and females were 39.6%. Most cases (28.4%) had dentine score 0, 24.8% had dentine score I, 24.8% had dentine score II, 18.8% had dentine score IV, while only 3.2% had dentine score II. Mean parathyroid hormone levels were significantly associated with higher dentine scores (p < 0.05). Although mean parathyroid hormone levels were statistically insignificant according to children's age (p < 0.05).

Conclusion: A decrease in levels of parathyroid hormones and calcium has been observed to contribute to the delay in the eruption of primary teeth. Additionally, factors such as stunted growth and deficiencies in parathyroid hormones and calcium levels further exacerbate this delay, highlighting the importance of adequate nutrition in dental development.
Relación del valor social del trabajo y el rol de género sobre la participación laboral femenina en México 1994-2022
Authors:   Accenture. Mexico, SANCHEZ Maria F. , DE LA SOTA Marcela ,   Universidad Anáhuac. México, SAUCEDO Odra A. ,   Universidad Anáhuac. México, MATA Leovardo ,   Universidad Anáhuac. México
Published: April 2024

En este trabajo se estima el efecto de las actitudes del rol de género (RG) y del valor social del trabajo (VT) sobre la participación laboral femenina (PLF) para el periodo 1994-2022 en México. Se utilizan los levantamientos de World Value Surveys (WVS) para el periodo de referencia, considerando los modelos logit, probit, robit y su versión lineal. Se encuentra evidencia de una relación negativa entre las variables RG, VT y PLF.
Análisis de las propiedades psicométricas de la Escala de Florecimiento de Diener en jóvenes universitarios
Authors:   Universidad Técnica de Machala, ARIZAGA Fabiola E. , REYES Ivonne P. ,   Universidad Técnica de Machala, SANCHEZ Yadira L. ,   Universidad Técnica de Machala, PLACENCIO Mauricio R. ,   Universidad Técnica de Machala
Published: April 2024

El objetivo fue analizar las propiedades psicométricas de la Escala de Florecimiento de Diener en estudiantes universitarios. La metodología implicó juicio de expertos, entrevistas cognitivas, grupos focales y pilotaje para validar el contenido y aspectos culturales. Posteriormente, se aplicó la escala (N=280) y se realizó análisis factorial exploratorio y de consistencia interna. Se obtuvo unidimensionalidad, con adecuada confiabilidad (α=0.97). Finalmente, la escala presenta propiedades psicométricas apropiadas en la muestra, posibilitando su aplicación para evaluar intervenciones de promoción.
Thermal Potential of a Twin-Screw Compressor as Thermoelectric Energy Harvesting Source
Authors: Savescu Claudia , Petrescu Valentin , Comeaga Daniel , Carlanescu Razvan , Roman Mihaela , Lale Daniel , Mitru Andrei
Published: April 2024

This study evaluates the potential of a twin-screw compressor as a heat source to harness thermal energy. Thermoelectric generators are a feasible solution for microenergy harvesting from waste heat based on the Seebeck effect. Thermographic infrared images of the compressor were used to assess potential installation spots. The physical mounting of the thermoelectric modules must consider certain hindering aspects. At first, the compressor skid is subject to standards and authorizations for its components, leaving only a couple of spots for screw-mounted module installations. Another inconvenience is the bonds in any thermoelectric material causing them not to withstand lateral mechanical stress in other directions except the c-axis perpendicular to the layers. Therefore, vibration measurements have to be performed beforehand. Numerical simulations were conducted, relying on the acquired thermoelectric modules as well as on the temperature and vibration data measured on the compressor. The thermoelectric generators studied are part of a multisource piezoelectric and thermoelectric energy harvesting system under research and development.
Particle Swarm Optimization for Wireless Sensor Network Lifespan Maximization
Authors: Kamel Souad , Al Qahtani Abeer , Al-Shahrani Abdullah Saad Musaed
Published: April 2024

Despite the deployment of wireless sensor networks in diverse fields (health, environment, military applications, etc.) for tracking or monitoring, several challenges, such as extending the lifetime of the network under energy constraints, still need to be resolved. Lifetime is the operational time of the network during which it can perform dedicated tasks and satisfy the application requirements. The energy constraints dictate that the energy consumption of sensors should be minimized since in most cases the sensors are battery-powered. Various methods have been proposed to work around this problem using scheduling approaches. In this paper, particle swarm optimization-based scheduling was designed and implemented to maximize the lifetime of wireless sensor networks formulated as a Non-Disjoint Sets Cover (NDSC) problem. The experimental findings show that the proposed approach is extremely competitive to the state-of-the-art algorithms, as it is able to find the optimal and best-known solutions in the instances investigated.
Utilization of Multi-Mission Satellite Altimetry for Wave Energy with Site Suitability Analysis using the Analytic Hierarchy Process
Authors: Uti Mat Nizam , Md Din Ami Hassan , Yusof Norhakim , Jairin Syarif Abdul Asaad
Published: April 2024

Space technology advancements have enabled the acquisition of marine data that support the research on wave energy as an alternative to reduce fossil fuel dependency and mitigate climate change. Malaysia's ocean renewable energy potential lacks attention from local authorities due to insufficient in-situ data, posing challenges in investigating ocean characteristics, such as wave heights. This study investigated Malaysia's wave energy potential using extensive significant wave height data from multiple altimetry missions. The former assessed site suitability using the Analytical Hierarchy Process (AHP) multicriteria analysis, incorporating marine constraints, namely socioeconomic, physical, and environmental factors. The multicriteria findings were integrated into a Geographical Information System (GIS) to improve the site suitability analysis and generate a localized suitability index for wave energy. Validation of satellite altimeter data with in-situ measurements showed a strong correlation and low RMSE. AHP analysis indicated good consistency in the criteria analysis, with a consistency ratio of 0.045, which falls below the limit of 0.1. The coastal and offshore regions of the Malaysian seas are suitable for harnessing wave energy with energy ranges up to 4.21 kW/m. Therefore, this study provides valuable information to stakeholders and the government to increase their interest in wave energy.
Utilizing Extremely Fast Decision Tree (EFDT) Algorithm to Categorize Conflict Flow on a Software-Defined Network (SDN) Controller
Authors: Khairi Mutaz. H. H. , Ali Abdalla Bushra Mohammed , Hassan Mohamed Khalafalla , Ariffin Sharifah H. S. , Hamdan Mosab
Published: April 2024

Software-Defined Networks (SDNs) provide a contemporary approach to networking technology, offering a versatile and dynamically efficient network architecture for enhanced surveillance and performance. However, SDN architectures may encounter flow conflicts. These conflicts arise when modifications are made to specific flow properties, such as priority, match field, and action. Despite the existence of recommended solutions, the process of resolving conflicts in SDN continues to encounter difficulties. This study proposes an Extremely Fast Decision Tree (EFDT) classification technique to detect and categorize conflicts inside the flow table. The novelty of this method is based on the development of an accurate and effective machine-learning technique implemented on the Ryu controller plane and validated using the Mininet simulator. The effectiveness and efficiency of the proposed method were evaluated using various indicators, demonstrating superior performance in recognizing and categorizing conflict flow types in all flow sizes ranging from 10,000 to 100,000.
Enhancing Cognitive Radio WSN Communication through Cluster Head Selection Technique
Authors: Panbude Shraddha , Deshpande Prachi , Iyer Brijesh , Nandgaonkar A. B.
Published: April 2024

The demand for frequency spectrum is increasing rapidly with the wide growth of wireless communications. Spectrum sensing issues present in Cognitive Radio Sensor Networks (CRSN) are detected dynamically using spectral sensing techniques, which also help to utilize frequency bands more effectively. The study proposes a novel Cosine Sand Cat Optimization (CSCO) protocol to address spectral sensing problems by selecting the optimal Cluster Head (CH) in a CRSN. The CRSN is simulated, and spectral allocation is performed using LeNet to extract signal components. Then, Primary User (PU) aware optimal CH selection is performed using the proposed CSCO by taking account of multi-objective fitness parameters. Finally, data communication is performed between nodes after CH selection using the CSCO protocol. The simulation results of CSCO were validated to determine its superiority concerning Secondary User (SU) density, and it attained residual energy, network lifetime, Packet Delivery Ratio (PDR), normalized throughput, and delay of 69.457 J, 77, 75.89%, 74.473, and 4.782ms, respectively.
Optimizing Solar PV Placement for Enhanced Integration in Radial Distribution Networks using Deep Learning Techniques
Authors: Zdiri Mohamed Ali , Dhouib Bilel , Alaas Zuhair , Hadj Abdallah Hsan
Published: April 2024

This study introduces a highly effective technique to address the load flow challenge in Radial Distribution Networks (RDNs). The proposed approach leverages two matrices derived from the topological features of distribution networks to provide an optimal solution to handle load flow challenges. To assess the efficacy of this technique, simulations were executed on an IEEE 33-bus radial distribution system using MATLAB. Deep Learning (DL) has become a powerful artificial intelligence technique that excels at interpreting power grid datasets. Thus, a data-driven methodology is presented that incorporates an advanced Long-Short-Term-Memory (LSTM) network. Employing the Recurrent Neural Network with the LSTM (RNN-LSTM) technique based on these simulations, the study precisely identifies the optimal placement of an integrated PV generator within the radial network. The application of DL techniques, specifically LSTM networks, exemplifies the potential of data-driven approaches in enhancing decision-making processes. The results of this study highlight the potential of RNN-LSTM for the optimal integration of PV generators and for ameliorating the reliability of RDNs.
A Framework for Efficient and Accurate Automated CLO and PLO Assessment
Authors: Zayani Hafedh Mahmoud , Abdelfattah Walid , Sellami Rahma , Slimane Jihane Ben , Kachoukh Amani
Published: April 2024

Accurate and efficient learning outcome assessment is crucial for ensuring high-quality education, but traditional methods can be time-consuming, error-prone, and inconsistent. We developed a novel Excel Macro-enabled framework for automating the evaluation of Course Learning Outcomes (CLOs) and Program Learning Outcomes (PLOs) in higher education. The framework consists of two Excel Macro-enabled workbooks. The course section workbook guides instructors through the assessment process, automatically calculates CLO achievement levels, and generates reports for the coordinators and the Head of Department (HoD). The course-level workbook aggregates data from all course sections and calculates CLO and PLO achievement levels relative to the course. Proven successful in three FCIT (Faculty of Computer and Information Technology) programs at NBU (Northern Border University), the framework demonstrably reduces assessment time and errors, improves consistency, and facilitates data-driven program improvement, making it a valuable tool for enhancing program quality.
Transformer Encoder with Protein Language Model for Protein Secondary Structure Prediction
Authors: Kazm Ammar , Ali Aida , Hashim Haslina
Published: April 2024

In bioinformatics, protein secondary structure prediction plays a significant role in understanding protein function and interactions. This study presents the TE_SS approach, which uses a transformer encoder-based model and the Ankh protein language model to predict protein secondary structures. The research focuses on the prediction of nine classes of structures, according to the Dictionary of Secondary Structure of Proteins (DSSP) version 4. The model's performance was rigorously evaluated using various datasets. Additionally, this study compares the model with the state-of-the-art methods in the prediction of eight structure classes. The findings reveal that TE_SS excels in nine- and three-class structure predictions while also showing remarkable proficiency in the eight-class category. This is underscored by its performance in Qs and SOV evaluation metrics, demonstrating its capability to discern complex protein sequence patterns. This advancement provides a significant tool for protein structure analysis, thereby enriching the field of bioinformatics.
A Real Test and Simulation Result Comparison of Selected Properties of Hybrid Composite Materials
Authors: Daneshjo Naqib , Sabadka Dusan , Malega Peter
Published: April 2024

In this study, the notion of composite materials is thoroughly assessed. Actual and simulation in a specific computer software stress testing of hybrid composites are investigated. The paper deals with the mechanics of rigid bodies, their elasticity, strength, and stiffness. In addition to a general overview of the former’s behavior and properties, this paper presents the possibility of calculating the bearing capacity of various materials in relevant computer programs. The production and testing process of the composite samples are described. The latter are then subjected to simulated tests in computer software. The main objective of this study is to compare real test results of hybrid composites, namely combined carbon fibers, glass fibers, aramid-carbon fibers, aramid honeycomb, and metal mesh with the simulation findings.
Innovative Technological Solutions for Environmental Sustainability in Chinese Engineering Practices
Authors: Din Azhar Ud , Yang Yang , Khan Muhammad Inam Makki , Khuram Waqas
Published: April 2024

The Chinese government announced the clear goal of attaining carbon neutrality by 2060, in order to gradually achieve net-zero carbon dioxide (CO2) emissions, whose impact on global warming needs to be reduced while also a sustainable industry needs to be promoted. Recognizing the critical role of Green Human Resource Management (GHRM) in supporting green innovation and achieving the carbon neutrality agenda, this study aims to fill a research gap by emphasizing this overlooked nexus. The former examines the influence of GHRM, green innovation, and carbon neutrality on environmental performance by carefully analyzing the current literature on China's achievement of carbon neutrality and its implications for environmentally friendly performances. The current study assesses the planning frameworks of the country, explores the concept of achieving carbon neutrality, and evaluates the practical implications.
Improving Electric Vehicle Autonomy in the Smart City Concept
Authors: Souissi Ahmed Saad Eddine , Kraiem Habib , Flah Aymen , El Madani Amjad
Published: April 2024

Organizing automobiles in a city is challenging due to the sensitive data that need to be disclosed. Information that can be utilized to identify a car and provide some useful characteristics about it is among the large amount of data that can be collected from an automobile. This operation will be easier if the vehicles are placed on a specific platform based on the smart city concept. Even if sensors and cameras are installed around the roads and the city, having the vehicle information will be more useful. The current study tries to demonstrate how it is feasible to improve vehicle autonomy by initially enhancing the vehicle's energetic performance, based on the smart city idea. Intelligent control topology serves as the foundation for the exposed energy management protocol. The suggested concept is created and the associated results are displayed using the Matlab Simulink platform.
Interleaved Bidirectional DC-DC Converter for Renewable Energy Application based on a Multiple Storage System
Authors: Mesalam Yehya I. , Awdallh Shaaban , Gaied Hajer , Flah Aymen
Published: April 2024

Due to its fewer components, the DC-DC three-phase converter has a simpler design and could be less expensive. However, it can present challenges in terms of precise voltage regulation and current balancing, due to the limited number of switching phases. On the other hand, the three-phase converter offers more precise voltage regulation and improved current balance owing to its higher number of phases. Although this results in increased design complexity and potentially higher cost, it allows for a more uniform distribution of current load among MOSFETs. The particular needs of the application, acceptable trade-offs between complexity, cost, and performance, as well as the requirement for precise voltage regulation and ideal current balancing, can determine which option is the best. This work investigates a three-phase interlaced DC converter with a parallel MOSFET. A two-way DC-DC converter was used to assess PWM when charging and discharging a battery. The results demonstrate a great DC voltage gain without a very high cycle load.
Numerical and Experimental Investigation of Performance and Flooding Phenomena of a PEM Fuel Cell with and without Micro-Porous Layers
Authors: Ha Hiep Nguyen , Duong Vu
Published: April 2024

This work presents the results of manufacturing a single Proton Exchange Membrane Fuel Cell (PEMFC) with Micro-Porous Layers (MPLs) and an active area of 25 cm2, and the experimental study required to build its polarization curve. Based on the physical model data, a numerical model of this PEMFC is created in the ANSYS PEM Fuel Cell module. Numerical simulations were performed with boundary conditions consistent with the experimental conditions on the test station. The calculation and experimental result comparison of the polarization curves for voltages ranging from 0.29 V to 0.94 V proved that the utilized numerical model is highly reliable. The simulation of PEMFC without MPLs was conducted according to other stable input parameters and boundary conditions. The results show that the PEMFC performance decreases significantly due to the flooding phenomenon inside PEMFC without MPLs compared to PEMFC with MPLs. Such phenomena are challenging to observe experimentally. Numerical modeling can be further used to optimize the fuel cell components.
Short Empirical Insight: Leadership and Artificial Intelligence in the Pharmaceutical Industry
Authors: Hu Chunjia , Mohi Ud Din Qaiser , Zhang Li
Published: April 2024

This study aims to analyze the importance of the emerging idea of green talent management and its effect on employees' innovative work behavior. In addition, the study examines how ethical leadership and artificial intelligence influence Pakistan's pharmaceutical industry. Four hundred and seven (407) survey forms were gathered from the management departments of five pharmaceutical industries in the twin cities of Pakistan (Islamabad and Rawalpindi). The data collected were analyzed using PLS-SEM with the help of Smart PLS. The empirical evidence presented in this study supports the notion that green talent management significantly affects employees' innovative work behavior. Furthermore, the results reveal that ethical leadership and artificial intelligence are crucial in regulating the connection between green talent management and innovative work behavior. This study provides managerial and theoretical implications derived from its results. These implications can help leaders in pharmaceutical industries effectively leverage green talent management to stimulate innovative work behaviors of their employees and attain a competitive edge in their respective marketplaces. Several studies focused on addressing the difficulties faced by organizational leaders in cultivating and maintaining people who can make valuable contributions to their companies and help gain a competitive edge in their markets. However, studies that investigate these risks are limited.
Efficient Hardware Accelerator and Implementation of JPEG 2000 MQ Decoder Architecture
Authors: Horrigue Layla , Ghodhbani Refka , Maqbool Albia , Abd-Elkawy Eman H. , Slimane Jihane Ben , Saidani Taoufik , Alrslani Faheed A. F. , Alsuwaylimi Amjad A. , Kouki Marouan , Kachoukh Amani
Published: April 2024

Due to the extensive use of multimedia technologies, there is a pressing need for advancements and enhanced efficiency in picture compression. JPEG 2000 standard aims to meet the needs for encoding still pictures. JPEG 2000 is an internationally recognized standard for compressing still images. It provides a wide range of features and offers superior compression ratios and interesting possibilities when compared to traditional JPEG approaches. Nevertheless, the MQ decoder in the JPEG 2000 standard presents a substantial obstacle for real-time applications. In order to fulfill the demands of real-time processing, it is imperative to meticulously devise a high-speed MQ decoder architecture. This work presents a novel MQ decoder architecture that is both high-speed and area-efficient, making it comparable to previous designs and well-suited for chip implementation. The design is implemented using the VHDL hardware description language and is synthesized with Xilinx ISE 14.7 and Vivado 2015.1. The implementation findings show that the design functions at a frequency of 438.5 MHz on Virtex-6 and 757.5 MHz on Zync7000. For these particular frequencies, the calculated frame rate is 63.1 frames per second.
Microstructure and Mechanical Properties of Carbon Fiber Phenolic MatrixComposites containing Carbon Nanotubes and Silicon Carbide
Authors: Subhani Tayyab
Published: April 2024

A novel class of hybrid composites was prepared containing carbon fibers along with carbon nanotubes and silicon carbide particles in phenolic resin for improved mechanical performance. The loading of carbon fibers was ~60 wt% while carbon nanotubes and silicon carbide particles were reinforced in the fractions of 0.1 wt% and 5 wt%, respectively. Individually reinforced composites containing 0.1 wt% carbon nanotubes and 5 wt% silicon carbide particles were also manufactured for comparison with hybrid composites. Microstructural and mechanical property characterization was performed using electron microscopy and mechanical testing, respectively. Uniform dispersion of nanometer-scale carbon nanotubes and micrometer-scale silicon carbide particles was observed under microscopy. The pooled effect of carbon nanotubes and silicon carbide particles significantly increased the tensile, compressive, and flexural performance of composites while carbon nanotubes offered greater weight fraction value improvement than silicon carbide particles.
A Cybersecurity Awareness Model for the Protection of Saudi Students from Social Media Attacks
Authors: Alotibi Gaseb
Published: April 2024

Social engineering addresses a broad category of techniques aiming to persuade someone to reveal data or perform actions for criminal purposes, such as disclosing personal information about a particular target. Cybersecurity awareness is required to raise people’s understanding of how these social engineering techniques are being used and so their capacity to exploit them. To accomplish this objective, primary focus is given to educating and training individuals on how to recognize such incidents and respond to them effectively. To protect people against social engineering threats, various cybersecurity models and approaches have been proposed. There are, however, a few differences between these models, since they are developed for specific purposes. Thus, the main objective of this study is to develop a cybersecurity awareness model specifically designed for Saudi students to protect them from social engineering attacks. The design science methodology was utilized in this study. The proposed model consists of four main stages: education and training, developing policies and guidelines, improving Saudi schools’ security, as well as monitoring and evaluation. The model introduced can ensure the safety and privacy of students, teachers, and staff across different social platforms.
An Approach to Determine and Categorize Mental Health Condition using Machine Learning and Deep Learning Models
Authors: Bhavani B. H. , Naveen N. C.
Published: April 2024

The mental health of the human population, particularly in India during and after the COVID-19 pandemic is a major concern. All age groups have undergone mental stress during and after COVID-19, especially college students in urban areas and individuals belonging to the age group from 16 to 25. Early detection of mental stress among urban students will help in the resolution of major related issues that may hurt one's career. Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have enabled the prediction of mental health status. Numerous studies have been conducted using various approaches, but there is still no agreement on how to predict mental symptoms across age groups. In the current study, proposed DL, Long Short-Term Memory (LSTM), and ML models, namely Support Vector Machine (SVM), ADA Boost, Random Forest (RF), K-Nearest Neighbor (K-NN), Logistic Regression (LR), and Multi-Layer Perceptron (MLP) are trained and tested on a real-world dataset. The DL LSTM model outperformed the conventional ML models with an accuracy of 100%.
भारत में शिक्षा गुणवत्ताकि दिशा में चुनौतियाँ और समाधान “ एक अध्ययन“
Authors: Mrs. Seema Dwivedi
Published: April 2024

मानव संसाधन के विकास का मूल शिक्षा है जो देश के सामाजिक-आर्थिक तंत्र के संतुलन में एक महत्त्वपूर्ण भूमिका निभाती है।
देश में जब शिक्षा का अधिकार अधिनियम लागू हुआ तो 6 से 14 वर्ष के बच्चों के लिये यह मौलिक अधिकार बन गया। इसके अलावा शिक्षा क्षेत्र में सुधार लाने के लिये केंद्र और राज्य सरकारों द्वारा विभिन्न योजनाएँ और कार्यक्रम चलाए जा रहे हैं।
शिक्षा के क्षेत्र में आधारभूत, वित्तीय एवं प्रशासनिक उपायों के द्वारा राज्यों एवं केंद्र सरकार के बीच नई ज़िम्मेदारियों को बाँटने की आवश्यकता महसूस की गई। जहाँ एक ओर शिक्षा के क्षेत्र में राज्यों की भूमिका एवं उनके उत्तरदायित्व में कोई बड़ा बदलाव नहीं हुआ, वहीं केंद्र सरकार ने शिक्षा के राष्ट्रीय एवं एकीकृत स्वरूप को सुदृढ़ करने का भार भी स्वीकार किया। इसके अंतर्गत सभी स्तरों पर शिक्षकों की योग्यता एवं स्तर को बनाए रखना एवं देश की शैक्षिक ज़रूरतों का आकलन एवं रखरखाव शामिल है।
1976 से पूर्व शिक्षा पूर्ण रूप से राज्यों का उत्तरदायित्व था, लेकिन 1976 में किये गए 42वें संविधान संशोधन द्वारा जिन पाँच विषयों को राज्य सूची से हटाकर समवर्ती सूची में डाला गया, उनमें शिक्षा भी शामिल थी। गौरतलब है कि समवर्ती सूची में शामिल विषयों पर केंद्र और राज्य मिलकर काम करते हैं।
Blockchain and Cryptocurrency Security: Challenges, Innovations, and Future Directions
Authors: Sushama Pawar  , Shonal Vaz  , Yogita Khandagale  , Archana Gopnarayan  , Manisha Pokharkar
Published: April 2024

Blockchain technology and cryptocurrencies have emerged as transformative innovations with the potential to revolutionize various sectors, including finance, supply chain management, and healthcare. However, their widespread adoption also brings forth significant security challenges. This paper provides an overview of the security issues facing blockchain and cryptocurrency systems, explores current research efforts to address these challenges, and discusses potential future directions in blockchain and cryptocurrency security research. We examine topics such as secure consensus mechanisms, smart contract vulnerabilities, privacy-preserving techniques, and regulatory considerations. By understanding these challenges and exploring innovative solutions, we aim to foster the development of more robust and secure blockchain-based systems.
A Study on Perceived Service Quality of Customers in Commercial Bank
Authors: Mr. Christopher Louis
Published: April 2024

In the present scenario, "Customer is the king" and the participation and satisfaction of customers plays a vital role in the banking sector. Customer's expectation, customer satisfaction and service quality are interrelated. In order to meet the customer's expectation and to satisfy the customers, banks will have to improve their service provided to the customers. In the light of the present study bails at evaluating the level of service quality is in commercial Banks in Thrissur district. The study also attempts to ascertain the dimensions of service quality in Banks.
Service quality measure is based on modified version of SERVQUAL as proposed by Parasuraman et al. (1988), which involve five dimensions of Service quality, namely Reliability, Responsiveness, Empathy, Assurance, and Tangibles.With respect to customer services there are notable perceived differences. Hence this study on customer service quality of commercial banks looks for bringing out the differences between perceptions of customers of these banks. This study is descriptive and analytical in nature.
The collected data is analyzed by obtaining the mean scores of the various servqual dimensions both for expectations and perceptions. Such mean scores are compared with each other to find the gaps between expectations and perceptions. The service quality gaps of customers of various types of banks are compared.Further these gaps are cross tabulated with the profile of consumers. The research proves that empathy and responsiveness plays the most important role followed by tangibility, assurance, and finally the bank reliability. The present study reveals that Reliability and Tangibility as dimensions of service quality provides its main influence to the customers. The customers also feel that bank to be reliable and dependable. But both the parameters Reliability and Empathy show a lower level of satisfaction to customers..
Envolvimento de pais de crianças pequenas na pandemia de Covid-19
Authors: Halkjaer-Lassen Alessandra Furtado Teixeira , Carneiro Terezinha Féres
Published: April 2024

O presente artigo é parte de uma pesquisa mais ampla sobre as experiências paternas na transição para a paternidade na pandemia da COVID-19. Foram entrevistados 10 pais primíparos, das cidades do Rio de Janeiro e de São Paulo, brancos, heterossexuais, pertencentes às camadas médias da população. O objetivo deste trabalho foi investigar o envolvimento paterno de pais de crianças pequenas na pandemia da COVID-19. As entrevistas foram gravadas, transcritas e submetidas ao método de análise de conteúdo, na modalidade categorial temática. As análises foram realizadas sob a perspectiva sistêmica de família e casal articulada a conceitos psicanalíticos. Os resultados mostraram que o isolamento social decorrente da pandemia foi percebido como positivo para o exercício da paternidade de pais de crianças pequenas, uma vez que aumentou o tempo de disponibilidade de interação pai-filho. Este estudo sugere que o favorecimento da presença paterna no seio familiar é elemento fundamental para maior engajamento de pais nos cuidados diários com seus filhos.
Agile response to critical need for clinical trial accessibility during the first COVID-19 pandemic wave
Authors: Smith Stephanie , Millham Frederick
Published: April 2024

This article discusses some of the major challenges that the clinical research community faced during the early days of the coronavirus disease 2019 pandemic. A model is offered that may assist other institutions while planning for future pandemics or disasters.
From the publisher
Authors: DeVito, Jr Richard A.
Published: April 2024

We are excited to bring forth this special issue titled Climate Change and Sustainability in Emergency Management - Research and Applied Science in a Changing World. Our thanks to the authors and researchers who have brought forth life changing research that can be applied today across the globe. Emergency managers are at the nexus of the climate change-sustainability debate, whether they are aware of it or not! A blurring of the emergency managers job description and responsibilities has been in process for years, much like moss growing on the north side of trees, the change has been slow but persistent.
Upaya Meningkatkan Kemampuan Meringkas Cerita Ramayana melalui Pagelaran Ketoprak dengan Metode Pembelajaran Kooperatif
Authors: Mujib M.
Published: April 2024

The purpose of writing this article is to describe the results of classroom action research on efforts to improve the ability to summarize the Ramayana story through ketoprak performances using cooperative learning methods. The research sample was grade VIII students of MTS N 1 Pati. Collecting data using observation methods, learning achievement tests and questionnaires. Quantitative and qualitative data analysis techniques. The results showed that students' ability to summarize the Ramayana story could be increased through ketoprak performances using cooperative learning methods.
Analisis Dampak Penggunaan Media Pembelajaran Kotak Berjalan Dan Bintang Bernilai Pada Hasil Pembelajaran IPS DI Kelas 5 SDN 158054 Mombang Boru 2 Kabupaten Sibabangun
Authors: Julia ivanna Wida Bonor Gultom,
Published: April 2024

In the learning process, teaching sometimes feels boring because the learning that is carried out feels monotonous and boring, especially in social studies learning which discusses history and stories that make students especially students feel sleepy. So the formulation of the problem to be examined is how the learning process can be effective and fun the role of using conventional learning media in the form of walking boxes and valuable stars that can make learning fun and educative. The purpose of this lesson is to make students active and show that social studies learning can be fun. This research method is field research with a descriptive approach qualitative.
Persepsi Masyarakat Terhadap Profesionalisme Dan Kepatuhan Dalam Penegakan Hukum Oleh Polisi
Authors: Nurwandri Andri , Syam Nur Fadhilah , Arifin Muhammad Hasnanul , Siregar Muhammad Syafii Arrazaq , Dasopang Mara Ihklas , Priantika Novi , Pradana Indra
Published: April 2024

Acts of violence are often carried out by the police during the investigation process with the aim of obtaining a confession from the suspect. This phenomenon has become a common occurrence, which has been revealed through various studies. The causes include a lack of investigative supervisory institutions, a lack of legal instruments, protection from institutions, and an unprofessional attitude on the part of the police. This situation means that suspects do not have the opportunity to defend their rights, while perpetrators of violence remain unsanctioned. Professionalism is related to moral issues that are integrated into the code of ethics, and violations of the code of ethics indicate the existence of moral problems within the police force. Moral improvement among investigators is needed so that the investigation process can run well and in line with expectations.
INTER/MULTICULTURAL EDUCATION
Authors: Radeck Ereni
Published: April 2024

Introduction: Reflection on the possibilities and intercultural challenges encountered in the pedagogical work of integrating teachers, specifically in the assistance provided to high school students, leads us to studies that seek to identify interfering factors or pedagogically outdated models being followed. This article presents a contribution to the study of intercultural teacher education, aiming to enhance knowledge through a literature review on the relevance of cultural conceptions. Furthermore, it seeks to innovate and propose new pedagogical models to address the challenges of interculturality, both in the behavior and professional practice of integrating teachers. Objective: To address the intercultural challenges present in the context of inclusive education, especially in the assistance provided to students with disabilities. This text is based on research by authors who contribute to theoretical understanding, assisting in applied classroom practice. The research primarily aims to answer the question: How does intercultural education contribute to pedagogical practice, considering public policies? Results: Through studies, projects, reflections, and research, it is evident that the debate on intercultural education is gaining prominence in Latin American societies. In this scenario, it is essential to promote interventions to ensure that government and academic community policy initiatives, in proposing degree courses, foster critical intercultural education capable of intervening in societal transformation and construction. Conclusion: Therefore, there is a need for pedagogical resources, teacher training to better serve students and connect with learning, as well as proper assessment of children.