bluuebunny/crossref_metadata_2025 huggingface dataset:
Interdisciplinary approaches to the opioid crisis: optimizing pain management through nurse-pharmacist collaboration
Authors: Almotairi Bunaydir Aali , Alharbi Muneef Olean , Alanazi Abdulkareem Shunayn , Alenazi Fahad Husayyan , Alonazi Reem Saleh , Almuzaini Abdulaziz Yousef , Khormi Fatimah Ali , Alanazi Seham Ahmed , Aldosari Afnan Mohammed , Alharbi Khlood Khaldan , Alsaadi Mona Mudlah , Alanazi Amal Alhumidy , Alqahtani Naif Saad , Al Aloula Ali Suliman , Aljarallah Majed Khalid
Published: November 2024

Background: With disastrous effects on both individuals and communities, the opioid crisis continues to be a major public health concern. Widespread opiate abuse and overdose deaths have been exacerbated by fragmented care, inappropriate prescribing practices, and a lack of patient education. A multidisciplinary strategy that makes use of the distinct expertise of healthcare providers is necessary for effective pain management, especially in complex circumstances. A promising approach to overcoming these obstacles is nurse-pharmacist collaboration, which aims to minimize opioid-related risks while improving pain management. Aim: this essay is to examine the multidisciplinary contributions that pharmacists and nurses may make to the fight against the opioid crisis. It specifically looks into how collaborative models support responsible opioid use, increase patient safety, and improve pain management outcomes. Methods: Evidence from clinical guidelines, policy evaluations, and peer-reviewed studies was synthesized in a comprehensive assessment of the literature. The review concentrated on nurse-pharmacist collaboration treatments, their application in various healthcare environments, and their effects on patient outcomes and opioid prescriptions. Results: Through individualized treatment plans, greater patient education, and strict oversight of opioid usage, interdisciplinary collaboration improves pain management.
Exploring the Correlation Between ESG Performance and Firm Value in Indonesia Shariah-Compliant Companies
Authors: Al Azizah Ummu Salma , Haron Razali
Published: November 2024

Corporate Social Responsibilities (CSR) has become essential to contemporary business operations, highlighting a company’s dedication to ethical, social, and environmental obligations. This study examines the relationship between Environmental, Social, and Governance (ESG) scores and the firm value of Indonesia Shariah-compliant companies. The data is attracted from the Refinitiv database, and all the companies in this study have ESG reporting from 2012 to 2022, with a total data collection of 117. The STATA version 16 software was used to analyze the data for the study. This study employed unbalanced panel data regression analysis with two measures as dependent variables ROE and stock price. Independent variables in this study are return on equity (ROE) and stock price, while control variables are firm age, firm size, and leverage. The findings show varied outcomes regarding the impact of ESG initiatives on financial performance. While ESG initiatives were found to have a significant and strong relationship with overall financial performance, the results were divergent for ROE and stock price. The regression model indicates that ESG initiatives negatively influenced ROE, whereas they positively correlated with increases in stock price. The study is based on secondary data from Shariah-compliant companies in Indonesia, including the ESG disclosure for the company’s performance. Policymakers should promote balanced, tailored ESG initiatives with strong reporting standards, encourage long-term value creation, provide sector-specific support, and enhance investor attraction through education and incentives to optimize financial performance and sustainability in Indonesia's Shariah-compliant companies.
Asian women and self-harm: A coping strategy
Authors: Muntaha Sidrah
Published: November 2024

This paper highlights the high rate of self-harm in young Asian women in the UK. Risk factors include family difficulties, social isolation, depression and sexual abuse. Suggestions for service development include raising awareness about self-harm and reducing stigma in local communities. Culturally appropriate ways of providing care are also discussed.
Taking responsibility
Authors: Baker Elina , Newnes Craig
Published: November 2024

This paper examines the assumptions underpinning the concept of ‘responsibility’. We ask how psychology contributes to constructing the idea of taking responsibility as no more than a form of being seen to act in socially desirable ways.
Application and violation of politeness maxims used by President Biden’s speech: A pragmatics analysis
Authors: Ariani Pramudita , Anindita Widyashanti Kuntara
Published: November 2024

Abstract
This research analyses the application and violation of the Politeness Principle in Maxims used by President Joe Biden's speech using Geoffrey Leech's politeness theory approach. This research aims to identify what is the dominant relationship between the application and violation of the maxim of politeness in President Biden's speech regarding the Israeli-Palestinian conflict and what are the reasons for the application or violation which can have an impact on public perception. This research uses descriptive qualitative analysis methods. The data collected is analysis based on Leech's politeness principles theory concepts to identify the applications and violations of politeness principle in Maxims used by President Biden's speech. The results indicate an insignificant use of Leech's politeness principles due to the political cooperation between the United States and Israel, so that President Biden frequently violates the principle of politeness in his speeches. However, in several utterances President Biden applies the politeness principle to maintain his image towards public perception.
Keywords: Speech, Leech's Politeness Principle, and Maxim.
Strategi Marketing: Efek Event, Viral, dan Affiliate pada Minat Beli Konsumen di Marketplace SHOPEE
Authors: Wardhani Shita Lusi , Manggar Wulan Kusuma
Published: November 2024

Shopee, Southeast Asia's leading e-commerce platform, has experienced tremendous growth in recent years. This success can be attributed in part to its effective marketing strategy, which has utilized event marketing, viral marketing, and affiliate marketing to drive sales and brand awareness. This research paper provides a comprehensive analysis of Shopee's marketing strategy, examining how the company has successfully used these three channels to engage consumers and achieve its business goals. The data in this study were analyzed using multiple regression analysis with SPSS software. The respondents used in this research were students in Yogyakarta. The analysis results show that event marketing, viral marketing, and affiliate marketing have a positive effect on purchasing interest in the Shopee marketplace.
 
Keywords: Event Marketing, Viral Marketing, Affiliate Marketing, Purchase Interest, Marketplace
UNVEILING CONSUMER BEHAVIOR: THE INFLUENCE OF PRICE, VALUE, AND APPEARANCE ON REPURCHASE INTENTIONS WITH A HALAL PERSPECTIVE
Authors: Vidyaningrum Dwisetya Vardani  , Rahardja Conny Tjandra
Published: November 2024

This study aims to analyze the influence of Price Perception, Perceived Value, and Appearance Perception on Repurchase Intention, with Halal Perception as a moderating variable among consumers of Mixue Ice Cream & Tea in the Special Region of Yogyakarta. The sample consists of consumers who have purchased Mixue Ice Cream & Tea more than four times, are Muslim, and reside in the Special Region of Yogyakarta. Data collection was conducted using Google Forms to distribute the questionnaires. Data processing and hypothesis testing were performed using SmartPLS 4 software. The hypothesis test results indicate that Price Perception, Perceived Value, and Appearance Perception have a positive and significant effect on Repurchase Intention. The moderation test results show that Halal Perception does not moderate the effect of Price Perception on Repurchase Intention, nor does it moderate the effect of Perceived Value on Repurchase Intention. However, Halal Perception does moderate the effect of Appearance Perception on Repurchase Intention.
HAMBATAN KOMUNIKASI ANTAR BUDAYA MAHASISWA RAGAM ETNIS DI ASRAMA MAHASISWA IAHN GDE PUDJA MATARAM
Authors: Kartika Komang Reza , Astraguna I Wayan
Published: November 2024

This study aims to uncover and understand the various barriers to intercultural communication faced by students at the IAHN Gde Pudja Mataram Student Dormitory. As a higher education institution with a significant diversity of ethnicities and cultures among its students, the dormitory presents a unique social dynamic. However, this diversity can lead to conflict if not managed properly. The research uses a qualitative approach, employing data collection techniques such as participatory observation, semi-structured interviews, and document analysis. The findings reveal that factors such as language differences, social norms, ethnocentrism, and a lack of cultural awareness are the primary causes of intercultural communication barriers at the dormitory. Students tend to interact mostly within their own ethnic groups, avoiding communication with those from other ethnic backgrounds, which often leads to misunderstandings and prejudice. Moreover, a closed attitude and a lack of respect for cultural differences further worsen the social atmosphere within the dorm. The study concludes that initiatives from both students and dormitory management are needed to foster cultural understanding, enhance empathy, and create opportunities for cross-ethnic interactions in order to promote a better social harmony. The findings are expected to provide guidance for developing more effective intercultural communication policies in multicultural higher education environments.
INOVASI PELAYANAN KELOMPOK PEDAGANG CANANG DI LINGKUNGAN KARANG JASI KOTA MATARAM
Authors: Wiguna Murti I Wayan Indra
Published: November 2024

Pasca Pandemi covid-19 yang melanda dunia menjadikan penjualan menurun khususnya Kelompok Pedagang Canang di Lingkungan Karang Jasi Kota Mataram. Penelitian ini berfokus pada tiga hal, yaitu: (1) trend penjualan kelompok pedagang canang di Lingkungan Karang Jasi Kota Mataram, (2) bentuk inovasi pelayanan kelompok pedagang canang dalam meningkatkan penjualan, (3) faktor pendukung dan penghambat kelompok pedagang canang dalam melakukan inovasi pelayanan. Metodologi penelitian menggunakan deskriptif dengan teknik pengumpulan data menggunakan teknik observasi, wawancara, serta dokumentasi. hasil penelitian ini menunjukkan, bentuk inovasi pelayanan yang dimana pedagang canang memberikan pelayanan dengan cara mengantar pesanan ke rumah pelanggan. faktor pendukung dalam penelitian ini dapat diketahui yaitu untuk memenuhi kebutuhan seperti tuntutan biaya hidup sehari-hari, biaya sekolah, keinginan untuk mengembangkan usaha, keinginan untuk mendapatkan keuntungan lebih kemudian yang menjadi penghambat yaitu kurangnya pengetahuan dalam menggunakan telepon dan WhatsApp, modal, banyaknya pesaing.
PEMANFAATAN DIGITAL MARKETING SEBAGAI STRATEGI KOMUNIKASI PEMASARAN EFEKTIF DAN INOVATIF UNTUK MENARIK KONSUMEN UMKM
Authors: Astikarani Ni Made Dhyana , I Komang Yasa Widya Purnama
Published: November 2024

Digital marketing telah menjadi strategi yang semakin penting bagi Usaha Mikro, Kecil, dan Menengah (UMKM) dalam upaya menarik dan mempertahankan konsumen di era digital. Penelitian ini mengkaji pemanfaatan digital marketing sebagai strategi komunikasi pemasaran yang efektif dan inovatif untuk mendukung pertumbuhan UMKM. Metode penelitian menggunakan pendekatan deskriptif kualitatif dengan sumber data primer diperoleh dari Konsumen UMKM King Kebab dan aktifitas Media Sosial. Lokasi penelitian berada di Kota Mataram terkhusus pada UMKM King Kebab. Melalui pemanfaatan platform digital seperti media sosial dan e-commerce, UMKM dapat menjangkau konsumen yang lebih luas dan tersegmen secara lebih tepat, serta menyampaikan pesan yang relevan dan personal kepada konsumen. Meskipun UMKM King Kebab sering menghadapi tantangan seperti keterbatasan sumber daya, literasi digital yang rendah, dan persaingan yang ketat, strategi digital marketing yang disesuaikan dengan karakteristik target konsumen dapat menghasilkan hasil yang lebih optimal dibandingkan dengan metode pemasaran konvensional. Penelitian ini bertujuan untuk membahas mengenai tingkat pemahaman dan penerapan digital marketing oleh UMKM dalam strategi komunikasi pemasaran, tantangan yang dihadapi oleh UMKM dalam memanfaatkan digital marketing untuk menarik konsumen, efektivitas digital marketing dalam meningkatkan daya tarik dan loyalitas konsumen pada UMKM dibandingkan dengan strategi pemasaran konvensional, serta UMKM dapat mengembangkan strategi digital marketing yang inovatif dan sesuai dengan karakteristik target konsumen. Menyoroti pentingnya inovasi dan pemanfaatan teknologi dalam strategi digital marketing untuk meningkatkan daya tarik dan loyalitas konsumen, serta mendukung keberlanjutan bisnis UMKM di pasar yang semakin kompetitif.
Pembentukan Karakter Mahasiswa Yang Kreatif, Inovatif dan Kolaboratif Melalui Kegiatan PPAB UKMPR
Authors: Dewi Ni Putu Sasmika , Pramana Ida Bagus Kade Yoga , Purnamayasa I Komang Widya
Published: November 2024

Kegiatan pengabdian kepada masyarakat melalui Pelatihan dan Penerimaan Anggota Baru UKMPR bertujuan untuk mengenalkan organisasi kemahasiswaan kepada anggota baru sekaligus membangun keterampilan manajemen organisasi, public speaking, dan etika. Kegiatan ini melibatkan 45 peserta, empat pembina, dan berlangsung selama enam hari, mencakup persiapan, pelaksanaan, dan evaluasi. Materi yang diberikan meliputi pengenalan UKM, konsep kepemimpinan, pengelolaan sumber daya, komunikasi publik, serta nilai-nilai etika organisasi. Lokasi kegiatan di Balai Pesamuan Pura Suranadi dipilih untuk menciptakan suasana baru yang mendukung keterlibatan peserta. Hasil kegiatan menunjukkan peserta mampu memahami visi, misi, dan struktur organisasi, mengembangkan keterampilan berbicara di depan umum, serta menerapkan etika dalam berorganisasi. Faktor pendorong keberhasilan mencakup dukungan pembina yang kompeten dan antusiasme peserta. Namun, terdapat kendala seperti keterbatasan sarana dan prasarana, rendahnya partisipasi mahasiswa, serta sikap peserta yang masih malu-malu. Solusi yang diusulkan mencakup perbaikan fasilitas, metode pelatihan yang inovatif, dan pendekatan yang lebih interaktif. Kegiatan ini berhasil meningkatkan pemahaman peserta tentang organisasi mahasiswa sekaligus membekali mereka dengan keterampilan penting yang relevan untuk mendukung perkembangan pribadi dan profesional di masa depan.
Meningkatkan Akses dan Kualitas Pelayanan Kesehatan melalui Puskesmas Keliling: Pengalaman di UPT Puskesmas Tembuku I dalam Mengatasi Stunting dan Penyakit Lingkungan
Authors: Widyasari Ida Ayu Putri Genta , Wedhaswari Ida Ayu Made Idyani
Published: November 2024

The Mobile Community Health Center program has been introduced as a strategy to increase access to health services in isolated areas. The main focus of this program is reducing stunting rates and controlling environmental-based diseases such as Acute Respiratory Infections and Dengue Hemorrhagic Fever. In its implementation, the Mobile Health Center succeeded in increasing community access to health services, with more than 50% of the village communities served experiencing an increase in health checks. Medical interventions and nutritional education have also contributed to reducing stunting rates, although the challenges in changing community behavior are still significant. Counseling on Clean and Healthy Living Behavior in schools and improving household sanitation also show positive impacts, although there are still obstacles in implementing healthy habits in the community. Fogging and abatement programs to control Dengue Hemorrhagic Fever as well as education regarding environmental sanitation management have shown positive results but need to be continued with a more intensive community-based approach. Despite progress, the biggest challenge remains behavior change which requires ongoing support and active community involvement. This evaluation shows that the Mobile Health Center is an effective health service model for improving access and quality of health in remote areas, although it needs strengthening in the areas of coordination between sectors and development of information technology to expand service coverage.
Mengelola Risiko Hukum dalam Pengelolaan Tanah: Studi Tentang Praktik Perjanjian Lisan dan Tertulis
Authors: Astuti Ketut , Sukendri Nengah , Wiguna Ida Bagus Alit Arta
Published: November 2024

This research aims to analyse the urgency of written agreements in land management in Oman Nyambu Hamlet, focusing on their benefits in providing legal certainty, preventing disputes, and supporting social stability. Although oral agreements are still commonly used, this research identifies their weaknesses, such as the high risk of conflict and legal uncertainty. Through a juridical-empirical approach involving interviews and document studies, it was found that the main barriers to the implementation of written agreements include low legal literacy, economic constraints, and the influence of local culture. The results show that written agreements not only strengthen the legal position of the parties, but also support the efficiency of land administration. The findings emphasise the importance of legal education, facilitating access to written documents, and digitisation to overcome existing constraints. The study concludes by recommending an integrated approach to improve community legal literacy and promote a more transparent and accountable transformation of land management, to support socio-economic development in rural areas. This study contributes to the development of local needs-based agrarian policies.
Proyek Penguatan Profil Pelajar Pancasila: Implementasi Pagelaran Musik Gendang Beleq Sebagai Budaya Indonesia
Authors: Chrysty Juliandri Maya
Published: November 2024

Pelaksanaan kegiatan Proyek Penguatan Profil Pelajar Pancasila melalui pementasan musik Gendang Beleq sebagai bagian dari pelestarian budaya Indonesia dan pendidikan karakter. Kegiatan ini dilaksanakan di Sekolah Nasional 3 Bahasa Budi Luhur dengan melibatkan 150 peserta yang terdiri dari siswa, orang tua, guru, dan mahasiswa. Metode yang digunakan adalah pementasan seni tradisional Gendang Beleq yang dipadukan dengan pembelajaran langsung melalui praktik dan diskusi yang dipandu oleh seorang moderator. Hasil kegiatan menunjukkan bahwa pementasan ini berhasil memperkenalkan nilai-nilai Pancasila, seperti kebersamaan, gotong royong, dan rasa cinta tanah air, kepada pelajar. Selain itu, kegiatan ini juga meningkatkan pemahaman siswa tentang pentingnya melestarikan budaya lokal. Evaluasi kegiatan menunjukkan peningkatan pemahaman pelajar terhadap nilai-nilai sosial dan budaya, serta penguatan karakter yang sejalan dengan tujuan penguatan profil Pelajar Pancasila. Penelitian ini menyimpulkan bahwa seni tradisional dapat menjadi alat efektif dalam membangun karakter pelajar yang berbudi pekerti luhur dan cinta budaya Indonesia.
Analyzing stability and bifurcations in a new discrete system derived from a fractional order continuous chaotic system
Authors: Radhia Barkat , René Lozi , Tidjani Menacer
Published: November 2024

The main purpose of this paper is to analyze the stability of fixed points in a new fractional discrete system induced by a continuous differential system of fractional order and to explore its bifurcations. From the fractional order differential Arneodo’s system, we derive a new discrete chaotic dynamical system. Asymptotic stability of the first fixed point of this new system, is carefully investigated in three dimensions or variables. This lead to the splitting of the parameter space related to two parameters into ten regions, each of them is split again versus a third parameter into three to five subregions. In eight of these regions, we were able to analytically prove the asymptotic stability of the first fixed point. Our theoretical results are validated by numerical simulations. In addition we give some clues about bifurcation versus the parameter linked to the fractal dimension of Arneodo’s model. We highlight some chaotic behavior of the discrete model.
Elastic waves scattering by the schoty in microscopic system 2D
Authors: Sansabilla Bouchareb , Mohamed Bouateli , Mostefa Sayhi , Rachid Tigrine , Sabah Fetah , Nadir Hachemi
Published: November 2024

We investigate the scattering phenomenon at the non-uniform crystalline surface. Localized modes emerge in its vicinity due to the inhomogeneity-induced breakdown of translation symmetry. The phonon scattering mechanisms at the inhomogeneity are investigated by means of the Newton equation and matching approach. Numerical findings are presented across a wide range of scattering energies, together with the estimation of the transmission and reflection probabilities and the elastic wave average transmittance across the defect. This shows how the softening, homogeneity, and hardening characteristics of the perturbed defect vary in their scattering spectra. Fano resonances in the spectra are caused by the coherent coupling between the localized modes created by the defect and the propagating mode of the ideal waveguide. For a variety of values of the elastic constants in the bulk and inhomogeneous domain, a comprehensive explanation is given. The features of the system model and the stimulating dimensionless frequencies are used to calculate the conductance of the system.
An intelligent system based on neural networks for simulating a high voltage phenomena
Authors: Khodja Fouad , Mimoun Younes
Published: November 2024

Insulators are among the most important components of overhead electrical energy transport and distribution networks since they provide both the mechanical support of the parts brought to high voltage and the electrical insulation of the latter, with grounded or energized other components (Samakosh and al, 2019), (M. Faramarzi Palangar and al, 2020). Indeed, a disturbance of the electrical insulation provided by the insulator can lead, in certain circumstances, to its bypassing and therefore a major risk to the reliability and operation of the overhead electrical energy transmission system. Several causes are at the origin of the electrical flashover such as transient overvoltage on the electrical networks (lightning, interlocking and openings of lines) (R. L. KHERFANE and al,2022). To determine the characteristics of electrical breakdown of many High Voltage electrode configurations, the formation and propagation of streamers is an important precursor to achieve this goal. It’s a major importance when we want to improve internal and external performance insulation systems understand and study the interaction between the polymer surface and the development process of the streamer. A numerical tool using neural networks is developed, in this context. This model allows evaluating the speed of streamers as a function of the amplitude of voltage initiation and the nature of the insulating materials. In fact, a database was created to train the neural model from a laboratory model. This research builds a database for predicting the propagation of streamers on the polymers surface by different neuronal methods and presents an interesting tool for estimating the propagation phenomena.
Investigating the physical properties of the binary compound CdTe under different pressures using FP-LMTO method
Authors: Daho Salah Eddine
Published: November 2024

The structural, electronic and optical properties of Cadmium Telluride (CdTe) are investigated at different pressures using the full potential linear muffin-tin orbital FP-LMTO method based on density functional theory (DFT), within the local density approximation LDA and the generalized gradient approximation GGA approximations were used to calculate  the exchange-correlation potential. The ground state properties of  CdTe compound were determined for diverse phases, and the band structure and optical parameters were calculated at pressures ranging from 0 GPa to 50 GPa. Optical parameters, including real part, imaginary part of the dielectric function, reflectivity, refractive index, extinction coefficient and energy loss function, were calculated for over an energy range from 0 eV to 13.6058 eV. The results were compared with available experimental and theoretical data, showing good agreement with earlier reported result. These particularities reveal that CdTe as favorable material for optoelectronic applications, as it exhibits together important electronic and optical responses under different pressure.
Influence of polymer and marble waste on the calorimetric and physico-mechanical properties of mortar
Authors: Alya Harichane , Fatiha Belalia , Nadhir Toubal Seghir
Published: November 2024

The use of polymer type superplasticizer SP in the preparation of mortars and concretes containing marble waste influences the hydration kinetics and the amount of total heat released. This leads to a modification of certain properties of the mortar, namely workability, calorimetry and mechanical resistance. In this study two polymers type ether polycarboxylate superplasticizers were used; they were incorporated at different dosages into a marble waste-based cement. The objective of this work is to study the effectiveness of these superplasticizers and to select the most compatible product with cement and the most suitable for use according to the climates of the country. The impact of superplasticizers on fresh cement containing marble waste was studied by measuring the Marsh cone flow time and calorimetric measurement. In the hardened state, the mechanical properties were provided by measuring the compressive strength. The results show that low dosages of ether polycarboxylate superplasticizer promote grain hydration and produce more heat on the other hand, high dosages delay the contact of the cement grains with the mixing water and cause a reduction in the final heat released and a delay in setting.
Improving charge transfer efficiency in CCDs: A SILVACO-based numerical study
Authors: Djendaoui Dahmane , Becer Zoubir , Obeidi Thameur
Published: November 2024

In this study, we investigate the charge transfer efficiency (CTE) of a radiation-damaged charge-coupled device (CCD) subjected to proton radiation levels typical of space-borne experiments, nuclear imaging, and particle detection. The primary factor affecting CTE in such damaged CCDs is the trapping of charge carriers by bulk states. Our analysis examines CTE as a function of temperature, and radiation-created traps (trap levels). We employed a two-dimensional numerical model using the SILVACO semiconductor simulation software to simulate the dynamic transfer process in a buried-channel CCD (BCCD) with a three-phase clock pulse driver. After setting the appropriate physical models and the suggested deep traps levels in the channel region. The simulations demonstrate that the CTE shows a nonlinear dependence on temperature, with a charge transfer inefficiency (CTI) peaking at 7x10-6 at 135 K and reaching a minimum value of 2x10-6 around 200 K. These simulated results closely match the experimental data found in the literature, providing a comprehensive understanding of the impact of radiation-induced traps on the dynamic charge transfer processes in CCDs.
A particle swarm optimization-based maximum power point tracking algorithm for PV Systems
Authors: Rahma Elarabi , Brahim Berbaoui , Smail Mansouri
Published: November 2024

The need for energy continues to rise as civilization progresses. Because of its sustainable and ecologically favorable benefits, solar energy has sparked enormous interest. The output power of photovoltaic (PV) cells, being one of the most efficient solar energy systems, is easily impacted by the external environment. This research developed a maximum power point tracking (MPPT) approach to handle the problem of PV cell maximum power output. The pulse width modulation (PWM) control module settings are set according to the characteristics of the PV cells' output voltage using the online particle swarm optimization (PSO) variable step length technique. The output of the PV cells is stabilized near the maximum power point by dynamically modifying the output voltage step of the PV cells online (MPP). Experimental and simulation results are presented to demonstrate the effectiveness of the proposed MPPT-PSO algorithm, when it is compared with the well-known Perturb and Observe (P&O) MPPT technique. According to the findings, the suggested approach may achieve rapid convergence to the MPP, increased efficiency, and low oscillation under a variety of real-world environmental circumstances, enhancing the efficacy and validity of the proposed MPPT.
Simulation of the thermal behavior of an asynchronous motor with various types of rotors
Authors: Badria Amara , Eddine Hemsas Kamel , Hacene Mellah
Published: November 2024

This paper presents a thermal analysis of an asynchronous motor to identify the components most sensitive to temperature increases, both in transient and steady-state conditions. Overheating in electrical machines is a critical issue in industry, leading to significant damage. Due to its serious consequences, this study provides a comprehensive thermal analysis of an asynchronous motor. A thermal network model is established to examine the motor's thermal behavior. The analysis is conducted on an asynchronous motor with four rotor types: a squirrel-cage rotor and three solid rotors (smooth, with copper layer and grooved). The power losses in electrical machine determine the yield of the machine and also the cooling that is necessary to solve the high heat limits. The ability to envision the temperature rise of induction motor is very important in the construction of this machine, however we can determine its performances. In the present work, we investigate that the heat dissipation plays primordial role in developing better performances motors. Obviously, the modification through geometry of rotor on induction motor can lead to best result. In the first stage   the modification of ferromagnetic core, in second stage, the effect of ventilation is carried out .Simulations are performed using MOTOR CAD software.
An efficient method for image denoising based on a new nonlinear wavelet thresholding function
Authors: Dehda Bachir , Aoun Mohammed Salah Mesai
Published: November 2024

Image noise is random variation of brightness or color information in images, and is usually an aspect of electronic noise. It can be produced by the image sensor and circuitry of a scanner or digital camera. In fact, there are different kinds of noise functions such as Gaussian noise, salt and pepper noise and speckle noise. Hence, image denoising is the process of removing noise from an image using one of the denoising methods such as spatial or transform techniques. The main aim of an image denoising technique is to achieve both noise reduction and feature preservation. In this context, the wavelet denoising method works in the transform domain, where the noise is uniformly spread throughout coefficients while most of the image information is concentrated in a few large ones.Therefore, the first wavelet-based denoising methods were based on thresholding of detail subband coefficients. However, most of the wavelet thresholding methods suffer from the drawback that the chosen threshold may not match the specific distribution of the image and noise components. Another thing: Studies have proven that the thresholding function has an effective role in obtaining better quality of the denoised image. To address these disadvantages, in this paper, we propose an efficient method for image denoising in wavelets domain. This method is based on a new nonlinear wavelet thresholding function, that is characterized by main mathematical properties and a shape parameter. The theoretical study of this new method proves that we can overcome the drawbacks of classical thresholding methods and by freely adjusting the shape parameter, we achieve a compromise between Hard and Soft thresholding. The experimental results show that our proposed method provides better performance compared to classical thresholding methods in terms of the visual quality of the denoised image.
Educational outcome of photovoltaic solar energy production
Authors: Righi Chakib Lias , Tandjaoui Mohamed Nasser , Ghennou Souad
Published: November 2024

An autonomous micro-grid is typically based on fuels as the primary source, but environmental concerns, as well as awareness of the limited nature of fossil fuels, have led to a search to replace conventional energy, which has a negative impact on the health, environment and climate. Recently, these systems are being promoted by integrating existing renewable energies in very specific areas to achieve sustainability of energy sectors through cleaner and available energy. Among renewable energies, solar energy is the cleanest type of energy to use. In addition to its cleanliness, it is durable, safe and environmentally friendly with zero CO2 emissions. We focused this study on photovoltaics. Studies in this area are numerous but with constant evolution, both on energy-efficient cells and on structures linked to operations. In order to take advantage of all the energy produced, it was necessary to inventory the different strategies for extracting the energy provided by solar panels. Solar photovoltaic energy is the most sustainable and economically competitive source, where solar irradiation is converted directly into electricity via a solar cell. Solar PV systems have many benefits, including free fuel. The main objective of this work is to determine whether the PV system is feasible from a technical, financial and economic point of view.
Analyzing the effectiveness of transfer learning models for leukemia detection in blood cells
Authors: Daas Sara , Chebli Asma , Hafs Toufik
Published: November 2024

In recent years, transfer learning has gained significant attention as a feasible and efficient deep learning approach for a variety of medical image analysis tasks, particularly in the area of disease detection and segmentation. This study investigates the effectiveness of various transfer learning models—ResNet50, MobileNet, InceptionV3, DenseNet121, EfficientNetB4, and a proposed model—for blood cell classification. In recent years, transfer learning has gained significant attention as a feasible and efficient deep learning approach for a variety of medical image analysis tasks, particularly in the area of disease detection and segmentation. By leveraging pre-trained networks, we aimed to enhance the accuracy and efficiency of detecting leukemia in blood smear images. Each model was fine-tuned on a comprehensive dataset consisting of normal and leukemic blood cells. The proposed model demonstrated exceptional performance, achieving an accuracy of 99.43%, significantly surpassing the other architectures evaluated. This improvement highlights the potential of transfer learning in medical imaging, particularly in automating and streamlining the diagnostic process for hematological disorders. Future work will focus on optimizing these models further and exploring their applicability in real-world clinical settings.
Secure EHR access in the cloud: an alloy-based formalization of ABAC in ‎‎collaborative and non-collaborative models‎
Authors: Abdelkrim Bouadjemi
Published: November 2024

The approach proposed in this article integrates the Attribute-Based Access Control (ABAC) ‎model and the Alloy modeling tool to enhance security in cloud environments, whet alher ‎collaborative or non-collaborative. Cloud computing facilitates data management, particularly ‎in collaborative environments that promote teamwork, but this increased flexibility introduces ‎more complex security challenges. In contrast, non-collaborative environments offer stricter ‎access control, thereby improving security while limiting the flexibility of interactions. The ‎ABAC model allows for the definition of fine-grained access policies based on user roles, ‎context, and data sensitivity, making it an ideal solution for protecting Electronic Health ‎Records (EHR). With dynamic access management, only authorized individuals can view or ‎manipulate sensitive data. The use of Alloy enables the formalization and testing of these ‎security policies by simulating different access scenarios to verify the consistency of the rules ‎and understand the trade-offs bet alween security and flexibility. Thus, the combination of ‎ABAC and Alloy provides a robust solution for managing access in complex cloud ‎environments while ensuring optimal protection of sensitive data.‎
Time dependent thermal behavior of geothermal energy pile (GEP) for summer and winter periods using CFD analysis
Authors: Boudjaza Samia , Chehhat Abdelmadjid , Rebai Billel
Published: November 2024

This study investigates the thermomechanical behavior of geothermal energy piles, which serve the dual function of providing structural support and facilitating heat exchange with the surrounding ground. The thermal energy transfer is achieved by circulating a working fluid through U-shaped heat exchanger pipes embedded in the pile, enabling cooling during summer and heating in winter. Unlike conventional piles, the thermomechanical coupling in energy piles alters their load transfer mechanisms, with distinct responses during summer (cooling) and winter (heating) periods that require separate evaluation. While energy pile modeling is relatively new compared to borehole systems, both share operational similarities. To explore this, a numerical simulation was conducted using ANSYS Fluent, incorporating a polyethylene tube, concrete, and surrounding soil. The analysis was performed under various Reynolds numbers (500, 1000, 1500, and 2000) and time intervals (60 min, 360 min, and 720 min) to capture the time-dependent thermal behavior for both cooling and heating periods. The simulations demonstrated satisfactory outcomes, suggesting promising potential for geothermal energy applications in Algerian residential buildings.
Preprocessing multilingual text for the detection of extremism and radicalization in social networks using deep learning
Authors: Zerrouki Khadidja , Benblidia Nadjia , Boussaid Omar
Published: November 2024

Due to the lack of strict controls on social networks, extremist groups like ISIS, Al-Qaeda, and white supremacists have taken advantage of these platforms to spread their ideas, distribute harmful content, and recruit new members. The study of online extremism and radicalization is a multifaceted and intricate area of research. Although the majority of research in this field focuses on the analysis of data in a single language, there needs to be more studies on the analysis of multilingual data, specifically about detecting multi-ideology extremism in social media content. This research paper introduces the building of an artificial intelligence system that identifies instances of extremism and radicalization from data extracted from social networks. We utilize natural language processing (NLP) linguistic methods and text classification to process the textual data. Our study results show significant progress in multiclass multilingual text classification and the detection of extremism and radicalization within social networks. The Bi-LSTM (Bidirectional et al.) model demonstrates a binary classification accuracy of 97.33%, and the multiclass classification accuracy of the Transformer-based model, which employs the DistilBERT-multi (Distilled version of the Multilingual Bidirectional Encoder Representations from Transformers) pre-trained model, is 91.07%.
Advanced deep learning framework for detecting SQL injection attacks based on GRU Model
Authors: Senouci Oussama , Benaouda Nadjib
Published: November 2024

SQL injection attacks are a major danger to data security in application systems, leveraging weaknesses to illicitly access and change sensitive data. Traditional detection methods, such rule-based systems and supervised machine learning, struggle to adapt to new SQL injection attack strategies. This study presents an Enhanced Deep Learning Framework for SQL Injection Detection utilizing the Gated Recurrent Unit (GRU) model to overcome constraints. To discover new attack patterns, the proposed framework uses a dynamic learning process instead of static detection methods. By examining SQL query sequences, the model can distinguish between legal and malicious interactions without predefined rules or reinforcement learning. The framework's performance is assessed using a broad dataset of valid and malicious SQL queries. Experiments show a considerable increase in detection accuracy, reaching 96.65% with little false positives. The proposed system is resilient and adaptable to address the complexity of modern SQL injection threats. The results demonstrate the effectiveness of deep learning, particularly the GRU model, in detecting SQL injection attacks. This research enhances database security and lays the groundwork for future cyber-security methods in web-based applications.
Innovative synergistic extraction of copper(II) from sulfate solutions using D2EHPA and Tri-n-octylphosphine oxide
Authors: Laiadi Djemoui , Ghebghoub Fatima , Barkat Djamel
Published: November 2024

Solvent extraction is a critical process in the copper extraction industry, offering an advanced method for separating and purifying copper from its ores. As industries aim for increased efficiency and sustainability, the significance of enhancing copper extraction methods is increasingly evident. The liquid-liquid extraction of copper(II) from sulphate medium with di(2-ethylhexy1) phosphoric acid (D2EHPA, HL) has been investigated in chloroform and 1-octanol at 25°C. The study examined the impact on several factors, including the equilibrium pH, extractant concentration, and the nature of diluent. The extracted copper(II) species were found to be CuL2.2HL in chloroform and CuL2 in 1-octanol and the extraction constants of these species were also estimated. The effect of the presence of tri-n-octyl phosphine oxide (TOPO) on the above extraction systems was also studied. A strong antagonistic effect observed during the extraction of copper(II), in the chloroform system is caused by a D2EHPA–TOPO interaction. In the 1-octanol system, the presence of TOPO may change the reaction stoichiometry of copper(II) and D2EHPA.
Energy management strategy for food Industry amidst the COVID-19 Coronavirus pandemic: yogurt manufacturing plant
Authors: Omar Kebour , Hayet Mokdad , Djamila Kebour
Published: November 2024

This study aims to optimize the energy efficiency of an industrial production factory, using an optimal multi-objective model for electricity management during the COVID-19 pandemic. This tool is a procedure based on the load profile, and measured data at the level of each production chain, such as hourly electricity consumption by industrial equipment, and daily production. These measured data are used to calculate and evaluate two indicators of performance: the first indicator is the specific electricity consumption cost (SECC) which informs about the financial performance. The second is the specific electricity consumption (SEC) that highlights the energy performance of the production process. A case study was carried out on a yogurt manufacturing plant in Algeria. After optimization, SEC is decreased from 0.070 to 0.068 kWh/liter, and SECC is decreased from 7.2 to 6.6 cents US$/liter. In addition, the electricity consumption is reduced at the peak period from 6 p.m. to 9 p.m. by 35%. Therefore, the monthly electricity bill is reduced by 4,089 $US/month which represents 10.2 %. It was also recorded that there is a new peak period formed between midday and 5 p.m. due to containment during this period of pandemic in Algeria.
A comparison of the packed U Cell structure and the most popular structures of multilevel inverters
Authors: Kadri Hakim , Tlemcani Abdelhalim , Henini Noureddine
Published: November 2024

Multilevel inverters are becoming essential for most high-voltage, high-power, and high-power medium-voltage electronic applications. MLIs offer many output levels suited to satisfy the varied demands of high-voltage and power applications. Besides enhancing output levels, MLI can reduce voltage stress (dv/dt) and the total harmonic distortion across the power switches. The extensive advancement of new MLI topologies on current ones enhances the ability to increase output levels while utilizing fewer components. Three significant topologies of multilevel inverters are compared in this work: cascaded H-bridge inverters, diode-clamped inverters, and flying capacitors. Electromagnetic interference (EMI) and total harmonic distortion results are compared. To do this comparison, meticulous MATLAB/Simulink simulations are used to analyze these inverters. These multilevel inverter designs frequently encounter complexity issues, highlighting the need for a more simplified approach. This study introduces a novel structure known as the 'packed u-cell 5 ' within the MATLAB/Simulink software. Its THD characteristics are analyzed to assess this novel structure's efficacy. By implementing PID control, the work also seeks to enhance the total harmonic distortion performance of the 'packed u-cell 5 ' structure.
Engenharia genética, biossegurança e meio ambiente
Authors: Lucchesi Maximiliano Evaristo de Castro , Silva Débora Bós e
Published: November 2024

O presente trabalho visa expor de forma simples, didática e sistematizada ao leitor os conceitos básicos e os principais pontos dos seguintes temas: biotecnologia, engenharia genética, transgenia e biossegurança A justificativa da pesquisa reside na relevância do tema, tendo em vista que os impactos ao meio ambiente são preocupantes, eis que provocam o desequilíbrio dos ecossistemas. Para tanto, a pesquisa foi realizada a partir do método analítico de abordagem dialética, desenvolvida via estudo exploratório descritivo expositivo, com descrição detalhada dos conceitos e especificidades dos referidos temas. Os resultados obtidos reforçam os avanços nas diversas áreas, a medicina, a saúde, a agricultura, dentre outras. Além disso, os resultados sinalizam a importância de que essa discussão seja plural a fim de contextualizar as implicações éticas, sociais, políticas e religiosas, com a finalidade de contribuir no processo de decisão acerca de sua implementação na sociedade, especialmente a fim de considerar a garantia ao meio ambiente ecologicamente equilibrado.