bluuebunny/crossref_metadata_2025 huggingface dataset:
Creating a Rich Learning Environment for Remote Postgraduate Learners
Authors: Andrews Trish , Lonie Anne-Louise
Published: October 2024

At Rangelands Australia, a centre in the School of Natural and Rural Systems Management at the University of Queensland, we have recently trialled virtual classroom technology for the delivery of postgraduate support courses. We wanted to explore the capacity of this learning modality to provide collaborative, interactive, synchronous learning environments for our target market—geographically isolated, rural students whose access to rich learning environments was limited by distance. We found that the virtual classroom platforms had considerable capacity to enhance the learning experiences of remote students while achieving the desired learning outcomes. However, we noted the demands and challenges that managing a virtual classroom placed on the facilitator, involving roles and responsibilities which are likely to be unfamiliar. We concluded that, if the facilitator is technically and pedagogically prepared for the virtual classroom platform, this learning approach can realistically provide an active and collaborative learning experience for geographically remote students.
ШКОЛЬНОЕ И СРЕДНЕ-СПЕЦИАЛЬНОЕ ПЕДАГОГИЧЕСКОЕ ОБРАЗОВАНИЕ В УЗБЕКИСТАНЕ В ГОДЫ ВТОРОЙ МИРОВОЙ ВОЙНЫ
Authors: Сабитова Коринна
Published: October 2024

В статье дается описание состояния сети школьной и средне-специальной сети педагогических учебных заведений, количество школ, функционировавших в республике к началу Второй Мировой Войны, а также дается подробный анализ того, как сеть школ и средних специальных  учебных заведений не только не была уничтожена в военные годы, но даже укрепила свое положение.
USMONIYLAR SALTANATI VA O`RTA OSIYO XONLIKLARINING O`ZARO DIPLOMATIK HAMDA ELCHILIK ALOQALARI
Authors: Vaxabov Azizjon
Published: October 2024

Maqolada O‘rta Osiyo xonliklari va Usmoniylar saltanati o‘rtasidagi siyosiy va diplomatik munosabatlarning tarixiy rivoji tahlil qilingan. Xususan, XV-XVI asrlardagi Shayboniylar davlati va Usmoniylar saltanati o‘rtasidagi aloqalar ko‘rib chiqilgan. Maqolada ushbu davrdagi siyosiy munosabatlarning o‘ziga xos jihatlari, turli diplomatik aloqalar va siyosiy koalitsiyalar, shuningdek, ushbu mintaqalardagi xalqaro vaziyatning o‘zgarishi yoritilgan.
MAMLAKATIMIZ TIJORAT BANKLARI AKTIVLARI SAMARADORLIGINI TAKOMILLASHTIRISH MASALALARI
Authors: Xolmuradov Musurmon
Published: October 2024

Tijorat banklari aktivlar portfellarining sifatini taʼminlash ularning moliyaviy barqarorligi va likvidiligini taʼminlashning zarurligi hozirgi kundagi dolzarb masalalardan biri boʻlib hisoblanadi. Ushbu ilmiy maqolada tijorat banklari aktivlarini samaradorligini oshirish yoʻllari boʻyicha ilmiy taklif va amaliy tavsiyalar ishlab chiqishga harakat qilindi.
QISHLOQ XO‘JALIGI ISHLAB CHIQARISHIDA TEXNIK SALOHIYATDAN FOYDALANISHNING IQTISODIY MOHIYATI VA NAZARIY ASOSLARI
Authors: Madiyev Shaxzod , Xurramova Zarina
Published: October 2024

Ushbu maqolada agrar sohada texnik salohiyat tushunchasining mazmun-mohiyati, uning tarkibi va tuzilmasi, sohani rivojlantirishdagi ahamiyati haqida so‘z yuritiladi. Qishloq xo‘jaligi ishlab chiqarishida “texnik salohiyat” tushunchasining iqtisodiy kategoriya sifatida taklif etilishi haqida mulohazalar bayon qilingan.
YANGI O‘ZBEKISTON JAMIYATI TARAQQIYOTI IDEOSFERASIDAGI MA’NAVIY O‘ZGARISHLAR DINAMIKASI
Authors: Sharipov Abdukhakimjon
Published: October 2024

Yangi O‘zbekiston jamiyati ijtimoiy taraqqiyoti ideosferasidagi o‘zgarishlar dinamikasining mazmun-mohiyatini falsafiy tadqiq etish ijtimoiy falsafaning dolzarb mavzularidandir. Mazkur maqola jamiyat ideosferasi taraqqiyoti ideosferasidagi dinamik o‘zgarishlarsiz jamiyatning siyosiy, ijtimoiy yuksalishi mumkin emasligi tadqiq etilgan. Shuningdek, jamiyat ijtimoiy taraqqiyoti ideosferasidagi o‘zgarishlar dinamikasining milliy tiklanish, milliy yuksalishimizda asosiy omillardan bo‘lib kelayotganligi ma’naviy-mafkuraviy islohotlar asosida ochib berilgan.
"G'ARB MADANIYATIDA SABR-TOQAT KONSEPSIYASINING O'ZGARISHI"
Authors: Mamasaliev Mirzoulug‘
Published: October 2024

Maqolada “bag‘rikenglik” tushunchasining mohiyati, ushbu atamaning fan va ijtimoiy amaliyotda qo‘llanilishi xususiyatlari ko‘rib chiqiladi. Liberal mafkuraga ega jamiyatlarda bag‘rikenglikni joriy etish bo‘yicha zamonaviy amaliyotlarni tahlil qilishga alohida e’tibor qaratilmoqda. "Bag‘rikenglik" tushunchasi qamrab olgan amaliyotlarni doimiy ravishda kengaytirishga e'tibor qaratiladi. G‘arbning zamonaviy bag‘rikenglik amaliyoti jamiyatdagi individual o‘zgarishlarga emas, balki yangi ijtimoiy voqelikning shakllanishiga olib keladi, degan fikr asoslanadi. Maqolada ezgu g‘oya niqobi ostida "G'arb jamiyatidagi “ilg'or tolerantlik” yashiringan yangi dunyoviy tartibotning shakllantirish jarayoni: qadriyatlar tizimini qayta qurish va ijtimoiy me'yorlarni manipulyatsiya qilish" ga urg‘u berilgan.
AXBOROT ERKINLIGI FALSAFIY TAHLILI
Authors: Usmonov Farxod
Published: October 2024

Axborot erkinligi jamiyat taraqqiyotining eng muhim jihatlaridan biridir. Har qanday jarayonda xolis va to‘g‘ri so‘zlay olish tezkorlik, o‘ychanlik va katta mas’uliyatni talab qiladi. Maqolada O‘zbekistonda davlat hokimiyati organlari faoliyati ustidan jamoatchilik nazoratini o‘rnatish, televideniye, radio, matbuot va internet jurnalistikasini yanada rivojlantirish masalalari muhokama qilinadi.
PERANAN LITERASI KEUANGAN SYARIAH DALAM MEMODERASI PENGARUH HEDONIC SHOPPING MOTIVATION DAN SOCIAL MEDIA TERHADAP IMPULSIVE BUYING
Authors: Mardatillah  , Awaluddin Murtiadi , Amiruddin
Published: October 2024

Hedonic Shopping Motivation dan Social Media merupakan 2 variabel yang terkesan memberikan pengaruh negatif bagi mahasiswa generasi milenial sebab dapat menimbulkan sifat boros dan membeli tanpa mengetahui manfaat sebenarnya dari produk yang ada yang akhirnya berdampak pada manajemen finansial mereka. Sehingga dihadirkan variabel moderasi yakni Literasi Keuangan Syariah yang kemudian  memoderasi pengaruh kedua variabel tersebut terhadap pembelian impulsif. Tujuan dari penelitian ini yakni untuk menilai dampak Hedonic Shopping Motivation dan Social Media terhadap Impulsive Buying  yang dimoderasi oleh Literasi Keuangan Syariah. Metode penelitian yang digunakan yakni kuantitatif, di mana pengumpulan data bersifat angka. Data angka-angka tersebut selanjutnya diolah menggunakan (SPSS) versi 21 for windows. Penelitian ini berlokasi di UIN Alauddin Makassar dengan subyek Mahasiswa generasi millenial program Pascasarjana UIN Alauddin Makassar. Berdasarkan hasil penelitian diperoleh bahwa hipotesis pertama diterima, yakni Hedonic Shopping Motivation berpengaruh positif dan signifikan terhadap Impulsive Buying. Hipotesis kedua diterima, yakni Social Media berpengaruh positif dan signifikan terhadap Impulsive Buying. Hipotesis ketiga diterima, yakni Hedonic Shopping Motivation dan Social Media berpengaruh positif dan signifikan terhadap Impulsive Buying. Hipotesis keempat tertolak, dimana Literasi Keuangan Syariah syariah tidak mampu memoderasi hubungan Hedonic Shopping Motivation terhadap Impulsive Buying. Hipotesis kelima diterima, yakni Literasi Keuangan Syariah syariah mampu memoderasi hubungan Social Media terhadap Impulsive Buying.
Natural gas as a generating source in the diversification of the Brazilian electric matrix
Authors: Generoso Mariana Vieira Barcelos , Meneguelo Ana Paula
Published: October 2024

Energy consumption grows annually, requiring an increase in the production and distribution standards of available energy sources. One of the main energy consumptions is linked to the electricity sector, which is globally dependent on fossil fuels such as oil and coal. In Brazil, more than 60% of electricity consumption comes from hydroelectric plants, and the lack of variability in generating sources generates instability and energy insecurity in the country. In this sense, it is necessary to evaluate an alternative source of electricity that can work together with hydroelectric plants and guarantee the stability of generation. Natural gas presents itself as an alternative, as it is a safe source and less aggressive to the environment when compared to other non-renewable sources. Through data collection and bibliographic research on proven reserves, processing capacity, and distribution of natural gas, this work analyzed the Brazilian potential for the use of natural gas and the biggest gaps in the sector. The results showed that, despite the great potential in proven natural gas reserves, Brazil is stagnant in its processing and distribution capacity. In addition, there are challenges related to high rates and taxes on the use of natural gas.
Assessing Ionizing Radiation Exposure Risks to Human Health in Wadi-B, Jere Oil Exploration Areas, Borno State, Nigeria
Authors: Yakubu Ali , Darma Tijjani Hassan , Ibrahim Usman M , Maitama Aminu , Zarma Saidu Suleiman , Dankawu Umar Muhammad , Hannafi Yakubu , Kachallah Fatima , Ibrahim Muhammad
Published: October 2024

Ionizing radiation, emanating from decaying nuclides, poses potential biological harm to
human organs. Wadi B, a village within the Jere local government area of Borno State, Nigeria,
is currently undergoing oil exploration activities. This study was conducted to evaluate the
outdoor gamma radiation levels at the Wadi B oil exploration site. Utilizing a portable hand
dosimeter (Radiation Alert Inspector), gamma exposure levels (GEL) were measured across
sixteen (16) spots within the exploration site. Results revealed that the gamma exposure levels
measured in the boreholes FYM (1 to 8), range from 0.17- 0.27 Mr/hr, with an average of 0.21
Mr/hr while, the levels around the wells FYM (9 to 16) vary from 0.14- 0.25 Mr/hr, with an
average of 0.18 Mr/hr. The estimated annual effective dose (AED) varied from 0.24528 to
0.47304 μSv/yr, averaging at 0.3460 μSv/yr. Notably, the average values of Total Dissolved
Solids (TDS), Conductivity, and Gamma radiation exceeded the recommended limits
established by the World Health Organization (WHO, 2006), which are 400 μS/cm for
conductivity, (50-150) ppm for TDS, and 0.002 mR/hr for radiation doses, respectively.
However, the calculated Excess Lifetime Cancer Risk (ELCR) values were lower than the
proposed world average level of 70 μSv/yr by the United Nations Scientific Committee on the
Effects of Atomic Radiation (UNSCEAR). This study suggests a heightened risk of exposure
to outdoor ionizing radiation among inhabitants residing near the study locations
Everything we have is the result of ISO 9001 system management quality
Authors:   National Engineering Academy of the Republic of Kazakhstan, Solovyev V. I. , Tkach E. V. ,   National Research Moscow State University of Civil Engineering
Published: October 2024

The article deals with the implementation of system management according to the requirements of the international standard ISO 9001 in the Republic of Kazakhstan, analyzes the causes of the current situation, and makes proposals for its improvement. The article was written with the aim of drawing the attention of the heads of organizations of the state and non-state sectors of the economy to the need in modern conditions to know the rules of ISO 9001 system management and be able to apply them in practice.
Studying the security of web services USING JSON web Token with RSA-512 algorithm and comparative analysis of HMAC-HA512, HMAC-256 AND RSA-512 for signing json web token
Authors:   Al-Farabi Kazakh National University, Zh. Bidakhmet  , G. Z. Ziyatbekova  ,   Al-Farabi Kazakh National University, A. K. Rysbayeva  ,   International Educational Corporation, D. K. Darkenbayev  ,   Al-Farabi Kazakh National University, N. O. Mekebayev  ,   Kazakh national women’s teacher training university, K. A. Kyzaibek  ,   Al-Farabi Kazakh National University
Published: October 2024

This article presents an analysis of the load testing results for three cryptographic algorithms: RSA- 512, HMAC-SHA512, and HMAC-SHA256. The RSA-512 algorithm demonstrated the best performance, handling the highest number of requests (78,646) and achieving the highest request rate per second (145.6). The HMAC-SHA512 and HMAC-SHA256 algorithms showed similar performance, processing roughly the same number of requests and having comparable request rates per second. The RSA-512 algorithm had the lowest average and maximum request processing times, whereas the HMAC algorithms had longer processing times. Additionally, the RSA-512 algorithm transmitted a larger volume of data compared to the HMAC algorithms. From a security perspective, RSA-512 uses asymmetric encryption, which is considered more secure than symmetric algorithms like HMAC since the private key is never transmitted over the network. However, RSA-512 has a lower security level compared to modern recommendations due to its 512-bit key length. HMAC-SHA512 and HMAC-SHA256 use symmetric encryption and provide good protection against message tampering, with SHA-512 being considered more secure than SHA-256 due to its longer hash code.
Creation of software based on spectral analysis for stegoanalysis of digital audio documents
Authors:   L.N. Gumilyov Eurasian National University, Zh. Tashenova  , E. Nurlybaeva  ,   L.N. Gumilyov Eurasian National University, Zh. Abdugulova  ,   L.N. Gumilyov Eurasian National University, Sh. Amanzholova  ,   L.N. Gumilyov Eurasian National University
Published: October 2024

The research paper examines the effectiveness of encoding secret information in audio files, its features and advantages over other types of information hiding, and the main methods of stegoanalysis. The purpose of the work is to create an algorithm for hiding information in sound files and its software content. The built-in here is to provide users with a secure information hiding environment without revealing the presence of confidential information to a stranger. The work includes information hiding methods in steganography. The characteristics and shortcomings of each method in stegoanalysis are studied. The purpose of the work is to reduce the size of the file sent through the communication channel and hide it in a sound file. That is, compatibility with the WAVE sound format is provided. In addition, the software implementation of the algorithm is developed in the Java environment. Aims to demonstrate the capabilities of stegoanalysis in Netbeans. The program is equipped with special functions that carry out stegoanalysis and allow it to be coded before stegoanalysis. All mentioned algorithms, methods, coded secret messages in the science of steganography are studied during program creation. The main goal of this research is to create a program that meets people’s needs. The research paper examines the problems of steganography and steganalysis in audio files and provides an overview of available software for hiding information in WAVE files. It has been shown that currently there is no software that meets the requirements of steganography in audio files. An additional program for WAVE audio format files for steganographic hiding using the LSB method is developed (package Stegora WaveHide). Also, an algorithm for finding hidden data is implemented.
Consideraciones sobre ergonomía física y cognitiva en el ámbito laboral
Authors: Defranc Balanzategui Pavel Omar , Arellano Valdiviezo Abdón Isaac
Published: October 2024

Introducción: Las consideraciones sobre ergonomía física y cognitiva en el ámbito laboral son fundamentales para garantizar el bienestar y la productividad de los empleados. La ergonomía física se enfoca en adaptar los espacios y herramientas de trabajo a las necesidades corporales, mientras que la ergonomía cognitiva aborda la carga mental asociada a las tareas. Juntas, promueven un entorno de trabajo saludable y eficiente. Objetivo: Describir las consideraciones sobre ergonomía física y cognitiva en el ámbito laboral. Materiales y Métodos: Esta investigación se basó en una revisión documental de la recopilación, análisis y síntesis de información proveniente de fuentes secundarias, como libros, artículos científicos, informes técnicos y otros documentos relevantes. Resultados: Entre algunos principios anatomo-funcional: Mantener todo al alcance, Utiliza relación persona/medios de trabajo con base altura del codo como referencia, La forma de sujeción reduce el esfuerzo, Posición correcta entre postura/posición, para cada labor, Los movimientos repetitivos son excesivos, minimizar la carga física de trabajo, minimizar la Presión Directa, Ajustar y cambio de postura, Se mantiene un ambiente confortable en el lugar de trabajo, Resalte con claridad para mejorar compresión, La organización del trabajo. Conclusiones: Dada la multiplicidad de factores a evaluar en ergonomía son muchos los modelos y métodos que se pueden emplear y es prácticamente imposible encontrar un método que incluya todos los factores. Una de las clasificaciones que se puede emplear es aquella que distingue dos grandes grupos, los métodos objetivos y los métodos subjetivos.
Water Treatment Stage Impacts on the Occurrence of Bacteriological Indicators and their Multiple Antibiotic Resistance Index
Authors: Mudau Khuthadzo Lunsford , Ntobeng Lesoka Reneileo , Kalu Chimdi Mang , Khumbudzo Maphangwa , Masindi Vhahangwele , Tekere Memory
Published: October 2024

Constant monitoring of the bacteriological indicators of drinking water and the associated Multiple Antibiotic Resistance (MAR) index as impacted by seasonal variations and different stages of Drinking Water Treatment Plants (DWTPs) may assist in understanding the pattern of their seasonal occurrences and the regular operations of the treatment plant that influence their removal. In this paper, the impact of the seasons and of the different stages of DWTPs on bacteriological indicator occurrence and the MAR-index of five treatment plants from three provinces in South Africa were assessed. Colilert-18 and Enterolert Quanti-Tray/2000 IDEXX methods were used to enumerate total coliform, E. coli, and Enterococcus spp. of water samples from the different treatment stages. Kirby–Bauer disc diffusion technique was used to assess the antibiotic susceptibility of the indicator bacteria isolates. All the measured physicochemical parameters were within the permissible limits. All the treatment plants essentially had a very high reduction of the indicator bacteria across all seasons. However, only two plants maintained the microbiological quality of the final treated water in compliance with the standards. A total of 121 isolates were obtained, and 106 isolates were multidrug resistant with the greatest resistance recorded for the Beta-lactams class of antibiotics. The MAR-index varied across seasons and with different plants. This implied that the usage of antibiotics is season- and site-dependent. The different stages of treatment reduced the indicator bacteria with the most reduction occurring in disinfection and candy stages. These findings extend the knowledge of how the treatment stages and seasons shape indicator bacteria and antibiotic resistance in drinking water.
An Improved Non-dominated Sorting Genetic Algorithm for the Optimal Economic Emission Dispatch Problem with Wind Power Sources
Authors: Khenissi Imene , Alotaibi Sultan M. , Chughtai Muhammad Tajammal , Guesmi Tawfik
Published: October 2024

This study proposes a novel multi-objective technique for the Stochastic Economic Emission Dispatch Problem (SEEDP) integrating wind energy sources. To do this, the SEEDP is first formulated as a Chance Constrained Programming (CCP) problem where the randomness of the Wind Power (WP) output is obtained with the Weibull distribution function. Nevertheless, the chance constraint is employed to describe the fulfillment of the power balance constraint. In fact, after applying the probability theory, the proposed CCP issue is converted into a deterministic optimization problem. Moreover, the impact of WP penetration on the optimal solutions is investigated. To resolve the proposed multi-objective approach, the second version of the Non-dominated Sorting Genetic Algorithm (NSGAII) is applied. Moreover, to test the robustness of the proposed strategy, a ten-unit system is used and the acquired results are compared with those of other optimization techniques.
Strength Performance of Mortar Prepared with SCBA and RHA as Supplementary Cementitious Materials at Elevated Temperatures
Authors: Mangi Sajjad Ali , Mangnejo Dildar Ali , Karira Hemu , Hussain Zahid , Rind Touqeer Ali , Wan Ibrahim Mohd Haziman
Published: October 2024

Rapid urbanization emanates from increased cement production, resulting in a significant increase in greenhouse gas emissions and pressure on natural resources. Considering these repercussions, it is critical to explore alternative methods to mitigate cement production by carefully examining sustainable solutions derived from nature. This study provides an in-depth investigation into the performance attributes related to compressive strength when cement mortar is formulated using Rice Husk Ash (RHA) and Sugarcane Bagasse Ash (SCBA) as supplementary cementitious materials. The experimental approach of this study comprises a comparative measurement of the workability and compressive strength of mortar produced by incorporating RHA and SCBA under standard and elevated temperature conditions, specifically at 400 °C, 600 °C, and 800 °C. The use of RHA and SCBA had a significant impact on mortar workability, showing a trend in which an increasing amount of cement substitution led to a decrease in workability. Furthermore, the mechanical performance decreased when up to 10% of the cement was replaced with a blend of RHA and SCBA equally divided by 5%. However, a further increase in the RHA-SCBA percentage corresponded to a decrease in the compressive strength. Upon subjecting both the control and RHA-SCBA cement mortar samples to higher temperatures, an anticipated reduction in the strength was observed. However, the samples containing RHA-SCBA demonstrated strength behavior similar to that of the control specimens when exposed to elevated temperature conditions. Based on the findings of this study, both RHA and SCBA are proposed to have the potential to serve as viable replacement materials for the production of cement mortar.
An Intrusion Detection System using a Hybrid Lightweight Deep Learning Algorithm
Authors: Altaie Rusul H. , Hoomod Haider K.
Published: October 2024

Cybercriminals are interested in the Internet of Things (IoT) more than ever due to its remarkable growth pace. This assertion is supported by the growing number of cyberattacks on IoT devices and intermediary communication mediums. IoT attacks that go unnoticed for a long time can result in serious service disruptions and monetary losses. Real-time intrusion detection on IoT devices is necessary to ensure the dependability, security, and profitability of IoT-enabled services. This study proposes a lightweight deep-learning method for detecting intrusions in IoT devices. The proposed system uses a hybrid Convolution Neural Network (CNN) with Long Short Term Memory (LSTM). Three distinct models, CNN, LSTM, and the proposed hybrid CNN+LSTM were used to identify intrusions in the UNSW-NB15 dataset. The proposed hybrid model was used to identify event characteristics on a Raspberry Pi3 device. To minimize computation costs, CNN and LSTM were stacked without the final layer to maximize convergence speed. CNN and LSTM layers are mapped to the sample marker space using fully linked layers and a softmax layer. The average accuracy, recall, precision, and F1-score of the proposed hybrid intrusion detection system were 98.78%, 98.09%, 97.88%, and 97.99%, respectively.
Application of the Fuzzy DEMATEL – ANP VIKOR Method to Rank Loads for Load Shedding in Microgrids
Authors: Tran Tung Giang , Nguyen Thai An , Nguyen Hoang Minh Vu , Quyen Huy Anh , Nguyen Ngoc Au , Truong Van Hien , Thi Tuyet Dan Bui
Published: October 2024

This paper presents a multi-criteria decision-making method to rank loads for load shedding in microgrids. The proposed Fuzzy VIKOR technique is based on the Fuzzy Decision-Making Test and Evaluation Laboratory (DEMATEL) model and the Analytical Network Process (ANP). The load ranking for load shedding in a microgrid is an issue that requires balancing economic and technical criteria, both of which are often in conflict with each other when considering comparative objects. The proposed Fuzzy VIKOR technique aims to solve problems related to conflicting criteria. Fuzzy numbers theory is utilized to handle uncertainty and relativity. Furthermore, the DEMATEL method also establishes Network Relationship Maps (NRM) and normalizes the unweighted supermatrix of ANP for weight values that match the criteria. The proposed method provides a comprehensive approach to evaluate the importance of criteria by determining the correlation and influence between factors, calculating their weights, and then ranking and selecting optimal loads based on the weights of load factors that serve the purpose of load shedding. A microgrid system with 16 buses was deployed to validate the proposed method.
The Impact of Artificial Intelligence on Business Performance in Saudi Arabia: The Role of Technological Readiness and Data Quality
Authors: Alarefi Mohammed
Published: October 2024

This study aims to examine the impacts of Machine Learning (ML) and Artificial Intelligence (AI) capabilities on Business Performance (BP) of technology enterprises in the Kingdom of Saudi Arabia (KSA). Building on established theories such as the Resource-Based View (RBV) and the Technology Organization Environment (TOE) framework, the study proposes that AI and ML capabilities impact business performance. Their effects are anticipated to be mediated by Technological Readiness (TR) and moderated by Data Quality (DQ). A total of 190 executives and IT professionals in KSA participated in this study. Smart PLS 4 was used to analyze the data. The findings showed that AI and ML capabilities positively affected business performance. Technological readiness acted as a mediator in the relationship between AI and ML capabilities, and BP. Data quality significantly increased the impact of AI capabilities on BP. The business performance of enterprises in KSA will increase with the presence of efficient AI and ML capabilities as well as the development of a high level of technological readiness and data quality.
Evaluation of the Enhancement of the Mechanical Properties of Cement Mortar Incorporated with Porcelain and Marble Powder
Authors: Hussain Ahlam O. , Fakri Jawad Zahraa , Obais Alaa Adnan , Radhi Faten M. , Ghayib Rusul J. , Nasr Mohammed Salah
Published: October 2024

It is widely accepted that cement and concrete are substantial sources of CO2 emissions. Researchers have been looking to replace cement with industrial waste to reduce the environmental impact of concrete production. The current research focuses on successfully using marble powder (M) and porcelain powder (P) instead of cement to produce cement mortar. Both mechanical and microstructural characteristics of several single and binary mixtures consisting of M and P were examined, with 13 mixes with M and P having been replaced by 2.5, 5, 7.5, and 10% of cement weight. For all mixtures in this work, compressive strength, flexural strength, SEM analysis, and thermogravimetric analysis (TG/DTA) were applied. The mixtures containing 10% M, 10% P, and 5% M+5% P demonstrated the best results. The maximum values recorded in compressive strength were 52, 55, and 50 MPa, whereas the control mix had 30 MPa. The maximum values for flexural strength were 9.24, 10.64, and 8.4 MPa in comparison with the 7 MPa of the control mix. Moreover, SEM analysis demonstrated the existence of a thick and compacted microstructure, which is predominantly the result of the formation of both Calcium Hydroxide (C-H) and high-density Calcium Silicate Hydrate (C-S-H) phases in all blends. SEM images demonstrated how hydration compounds formed and how the presence of M and P improved bonding. The difference in the quantities and types of phases distinguished by the different types of substitute material was also noted. The decrease in C-H, which is most prominent after a hydration period of 28 days, is primarily attributed to the interaction between C-H and M and P. Thus, this study demonstrates that M and P, by themselves or in combination, can be utilized as alternative resources in the production of high-performance and sustainable concretes.
Investigation on the Multi-Objective Optimization of Machining Parameters and Prediction for EN Series Materials
Authors: Vyasa Rupal , Brahmbhatt Pragnesh , Sonawane Chandrakant , Lakkimsetty Nageswara R. , Pavithra G.
Published: October 2024

To meet the requirements of modern Computerized Numerical Control (CNC) turning processes, it is necessary to improve efficiency, precision and surface quality while reducing negative effects such as vibration and cutting force. In an attempt to minimize vibration, surface roughness, and cutting force at the same time, this study optimizes machining settings in CNC turning of EN8. Manufacturers can find the optimal parameters by using a multi-objective optimization strategy. According to the conducted experimental validation, by reducing vibration, improving surface roughness, and minimizing cutting forces, the adjusted parameters can significantly increase productivity and quality in CNC turning operations. This research contributes to the ongoing effort to improve machining processes to meet various performance goals, for industries that rely on CNC turning.
Study of Capacity Calsium Board – Styrofoam Sandwich Panels on Wall Systems under Cyclic Lateral Force
Authors: Fatriady M. R. , Djamaluddin Rudy , Tjaronge Muhammad Wihadi , Amiruddin Andi Arwin
Published: October 2024

A new type of lightweight shear wall has been developed using composite panels, with styrofoam as the core layer and calcium board as the skin layer. This innovation aims to facilitate the rapid construction of housing in response to earthquake disasters. Physical testing of the material showed an increase in the compressive strength of the styrofoam core, from 2.14 MPa to 3.74 MPa in 75 mm thick sandwich panels. This study examines the use of precast panels with specific installation techniques involving pick-up beams (sloofs), connectors, and panel to panel connections to enhance wall strength against horizontal earthquake loads. The conducted cyclic loading test followed the ASTM E2126-18 (2018) standard loading cycle pattern test method. Lateral force experiments were conducted on full-scale shear walls with two different panel-frame connection modes. The test results revealed the behavior of Panel Lightweight Concrete (PLC) walls under cyclic lateral forces. Combined wall panels acted independently, and the use of PVAc adhesive and steel connectors resulted in a unified wall behavior system. The displacement behavior of the wall within the pinch system in the notch on the sloof demonstrated positive results. Quipanel walls can reduce building weight, mitigate earthquake forces, and provide a robust structure capable of withstanding long-term lateral forces. This development leads to the construction of simple, earthquake-resistant houses.
Batch Single-Stage Co-Digestion of Olive Mill Wastewater with Cattle Manure: Modeling, Simulation, and Validation
Authors: Ismaili Samir , Zrelli Adel , Elfalleh Walid , Ghorbal Achraf
Published: October 2024

The co-digestion of agri-food by-products, such as Olive Mill Waste (OMW) and Cattle Manure (CM), is an efficient method for waste management and biogas production. OMW, characterized by a high soluble organic content, low methane yield, and limited biodegradability, contrasts with the easily degradable properties of CM. The synergistic use of these wastes enhances the hydrolytic-acidogenic phase, increasing the availability of Volatile Fatty Acids (VFAs) and thereby boosting biogas production through bacterial fermentation of VFAs. This study introduces a novel mathematical model for mesophilic anaerobic co-digestion of OMW and CM in batch reactors. The uniqueness of the model lies in its ability to balance comprehensiveness with simplicity, implemented in MATLAB, for both precision and user-friendliness. Its focus on crucial factors, such as total VFA and methane generation, sets it apart in the field of anaerobic digestion modeling. The exceptional performance of the model is evidenced by its high accuracy in predicting experimental results, achieving impressive R² values of 0.96469 and 0.99133 for 50:50 and 75:25 OMW to CM ratios, respectively. These results demonstrated the robustness of the model in simulating key co-digestion parameters across varying substrate compositions. By enhancing the feasibility of numerical computation while maintaining high predictive accuracy, this approach represents a significant advance in biogas production optimization. The practical applicability and accuracy of the model make it a valuable tool for optimizing real-world waste management and renewable energy production processes, potentially leading to improved methane yields and overall biogas production.
Advanced Graphite/Metal Composite Materials for High Voltage Automotive Applications
Authors: Mirea Radu
Published: October 2024

This study presents the development and characterization of four graphite-based/metal composite materials suitable for high-voltage applications in the automotive industry, specifically for use as current collector materials in trolleybuses. The composites were processed utilizing different combinations of graphite types (granulated natural graphite, natural graphite flakes, and graphite chemically coated with copper), binders (coal tar pitch and commercial resin Novolac), and metallic additives (electrolytic Cu powder, Sn powder, and MoS2). The structural, mechanical, and functional properties of the four composite materials were investigated. The composites exhibited similar hardness values, but their coefficients of friction differed due to variations in chemical composition and processing methods. In terms of mechano-electrical wear, despite their similar hardness and mechanical strength, the materials exhibited different wear patterns based on their electrical conductivity and voltage drop. The novelty of this study lies in the introduction of a new technological process for obtaining carbon/metal composite materials used in the manufacture of sliding contacts for current collector heads. The suggested materials are anticipated to reduce the wear on the electrical wire, thereby lowering maintenance expenses. The most suitable material was selected for further development by the end beneficiary.
A Study on the Influence of FDM Parameters on the Compressive Behavior of ASA Parts
Authors: Zisopol Dragos Gabriel , Minescu Mihail , Iacob Dragos Valentin
Published: October 2024

The article presents the results of the study on the influence of FDM 3D printing parameters on the compressive behavior of test specimens made of ASA. In this context, 45 ASA test specimens, made by FDM on the Anycubic 4 Max Pro 2.0 printer, with height of the layer applied in one pass Lh equal to 0.10, 0.15, and 0.20 mm and filling percentage Id equal to 50, 75, and 100%, were compressive tested on a Barrus White 20 kN universal testing machine. The two considered variable parameters influence the compression resistance of the ASA parts, with the influence of Id being greater by 96.89% compared to the influence of Lh. It was measured that by increasing the filling percentage from 50% to 75%, the compressive strength increases by 38.10 – 39.31%, and by increasing the filling percentage from 75% to 100%, the compressive strength increases by 27.74 – 30.82%.
Distributed Streaming Storage Performance Benchmarking: Pravega and Pulsar
Authors: Kadaba Vasudevamurthy Ramesh , Raju G. T.
Published: October 2024

Massive data shoving can reach the greatest throughput, which is necessary for distributed streaming storage to function at its best. The comparison of the distributed streaming storage systems Pulsar and Pravega for a given number of producers and data packet size is covered in detail in this study. This analysis' benchmark tool accommodates several producers and consumers. When connection pooling is enabled and 0.5 million records are thrust at a 10 Mbps data rate, both streaming storages are assessed for latency percentile comparison. A novel idea called sbk-charts is introduced in the current study, which can create practical charts from CSV files. Multiple CSV files can be joined by sbk-charts to construct a single combined xlsx file with helpful charts. The outcomes of the experiment are then evaluated for performance comparison in a number of dimensions.
Common-Mode Voltage Reduction with the Optimal PWM Signal Modulation Technique
Authors: Bon Nguyen Nhan , Le Thanh-Lam
Published: October 2024

The rapid development of electric vehicles, electric vehicle charging stations, renewable energy harvesting and storage systems, and various other energy conversion systems has increased the focus on multilevel inverters. These inverters are highly effective in reducing harmonic distortion. However, Common-Mode Voltage (CMV) remains a significant challenge, causing negative impacts, such as reduced component lifespan, decreased control system reliability, and substantial electromagnetic interference. This study introduces a straightforward and highly practical technique that ensures effective CMV reduction. The technique enhances the traditional SPWM method by offsetting the control signal to optimize switching frequency and produce better PWM signals. This method, referred to as Optimal PWM Signal Modulation (OSM), has shown superior CMV reduction capabilities for multilevel inverters compared to the phase disposition technique. The effectiveness of the OSM technique has been evaluated through simulations and practical experiments on a three-level H-bridge converter and the LAUNCHXL-F28379D development kit from Texas Instruments.
Machine Learning Techniques for Predicting and Classifying Exchange Rates between US Dollars and Japanese Yen
Authors: El Mahjouby Mohamed , El Fahssi Khalid , Taj Bennani Mohamed , Lamrini Mohamed , El Far Mohamed
Published: October 2024

The prediction of fluctuations in foreign exchange prices is a well-researched and well-known field in finance. Using machine-learning techniques to evaluate and forecast changes in the foreign exchange market has been examined in numerous research projects. This study examined multiple machine learning techniques, including random forest, Adaboost, logistic regression, gradient boosting, bagging, Gaussian naïve Bayes, extreme gradient boosting, decision tree, and a proposed ensemble method combining three models: logistic regression, extreme gradient boosting, and Gaussian naïve Bayes. The proposed method aimed at forecasting when to buy and sell dollars relative to the Japanese yen to make more profits. Various technical markers were included in the training dataset to improve accuracy. Experimental results showed that the proposed ensemble method performed better than competing techniques, yielding better prediction accuracy. The proposed method achieved an accuracy of 98.4%, which shows that it can help investors decide when to purchase and sell in the USD/JPY market and make wise judgments.
Evaluating the Impact of Marble Waste and Fly Ash as Sand Replacements on Concrete's Compressive Strength and Workability
Authors: Filali Saloua , Nasser Abdelkader
Published: October 2024

The rapid expansion of infrastructure, urbanization, and industry has intensified the global demand for concrete, straining natural resources and posing ecological threats. In response to these challenges, integrating recycled materials into concrete formulations offers a sustainable solution without compromising quality. This study is focused on evaluating concrete characteristics by substituting natural sand with marble dust and fly ash as fine aggregates. Three series of mixes were prepared, S1 replaced sand with marble dust from 10% to 50%, increasing incrementally by 10%, S2 substituted sand with fly ash under similar conditions, and S3 utilized a blend of marble dust and fly ash at various substitution rates to compare their effects. Results indicated that in the three series of mixes, and at all ages, the compressive strength increased by 49.94%, 49.15%, 49.53%, and 53.08% compared to the control mix at days 7, 14, 28, and 56, respectively, peaking at 20% marble dust and 30% fly ash replacement. However, higher levels of marble dust reduced workability compared to standard concrete. This research underscores the potential benefits of incorporating waste marble powder and fly ash in concrete production, highlighting their role in enhancing material properties while promoting sustainable practices in construction.
Fabrication of Metal Matrix Composites using the Submerged Friction Stir Processing Technique: A Recent Progress Review
Authors: Msomi Velaphi
Published: October 2024

The design of structures and their components requires versatility due to the complexity of the loads that these structures and components are exposed to. Traditional materials generally do not have this feature of versatility and therefore, new materials are needed. Metal matrix composites are metallic materials that are promising to possess the versatility feature. However, the fabrication of these types of materials requires special attention. This paper reviews specifically the fabrication of metal matrix composites through the use of the friction stir processing technique coupled with water. The discussion deals with the fabrication of composites using single-pass and multipass submerged friction stir processing techniques. These fabrication methods still do not receive much attention even though they possess a significant microstructural influence.
Research on the Influence of Hyperparameters on the LightGBM Model in Load Forecasting
Authors: Nguyen Khanh-Toan , Tran Thanh-Ngoc , Nguyen Huy-Tuan
Published: October 2024

Electric load forecasting plays a vital role in all aspects of the electrical system, including generation, transmission, distribution, and electricity retail. The LightGBM ensemble learning method has been widely applied in load forecasting and has yielded many positive results. This study presents an algorithm combining the grid space of hyperparameters with cross-validation to evaluate the accuracy of LightGBM models across different hyperparameter values. Peak load data from Ho Chi Minh City were used to enhance the reliability of the results. Analysis of the results based on boxplot statistical charts indicated that the accuracy of the LightGBM model significantly depends on the hyperparameter values. Moreover, using default hyperparameter values may result in large errors in load forecasting.
Pixel Binning Effects of Smartphone Camera on Three-Dimensional (3D) Model Reconstructed Crime Scene
Authors: Sukri Shahrul Izwan , Mohd Ariff Mohd Farid , Razali Ahmad Firdaus , Zainuddin Khairulazhar , Yusof Ahmad Razali
Published: October 2024

Pixel binning, a feature of high-megapixel smartphone cameras, exhibits performance comparable to traditional cameras. The field of photogrammetry has explored and adopted most kinds of technology, hence, pixel binning too should be adopted into forensic photogrammetry. This study evaluates the application of pixel binning technology in forensic photogrammetry, specifically in 3D reconstruction at crime scenes. A simulated crime scene conducted at the UTM-PDRM lab was captured using smartphone cameras of 12MP and 50MP, and a 20MP DSLR camera. First, the cameras were calibrated to ensure their stability. Following the image capture, the data were processed to generate 3D point cloud models of the simulated crime scene. The geometric parameters resulting from the camera calibration were discussed. The 3D point cloud model by DSLR camera exhibited better visual quality than the smartphone cameras. This finding was supported by an analysis of overlapping images by each camera and a side-by-side comparison of the models. Measurements from the smartphones 1, 2 and the DSLR camera were compared to conventional Vernier calipers used in crime scene documentation. The resulting Root Mean Square Error (RMSE) differences were approximately ±5.62mm, ±5.59mm, and ±5.40mm, respectively. In conclusion, the pixel binning of smartphone cameras was able to produce reliable accuracy but requires stability in technology for 3D reconstruction.
Experimental Study on the Fire Resistance Performance of Bubble Beams under Standard Fire
Authors: Mustafa Hiba , Kharnoob Majid M.
Published: October 2024

A bubble system has several benefits, including increased structure efficiency, reduced material consumption, lower overall cost of the structure, decreased construction time, and green technology. This research aims to evaluate the behavior of a reinforced concrete bubble beam exposed to elevated temperatures of 600 °C and 800 °C for 2 hours. It utilizes varying bubble diameters of 90 mm and 120 mm, with the bubbles having been placed in the core of the beams, where the stress in the neutral axis is zero. The experimental results revealed that, after being exposed to fire reaching 600°C for 2 hours, the beams with void diameters of 90 mm and 120 mm presented a reduction in flexural strength of 22.35% and 18.58%, respectively. However, after fire exposure at 800°C for the same time the reduction was 31.76% and 32.74%, respectively. The findings of the experimental study indicated that the beams’ stiffness was decreased under the influence of fire, whereby elevated temperature exposure contributed to larger deformations and the formation of cracks.
A Novel Approach to Image Classification for Detecting Abnormalities in Neuroimages based on the Structural Similarity Index Measure
Authors: Lad Rashmi Y. , Mapari Shrikant , Sibai Fadi N.
Published: October 2024

Medical imaging has improved image quality and enables accurate diagnosis and treatment. Medical imaging is used in the early detection and diagnosis of mental disorders or mental illnesses, and treatment. This study performs image-based classification using the Structural Similarity Index Measure (SSIM) to detect normal and abnormal neuroimages. Two experiments were performed on the same dataset. 342 Dicom images were divided into standard and abnormal categories. At first, the SSIM between images was calculated. SVM, KNN, Naïve Bayes, and Decision Tree classifiers were applied and compared. Similarly, an artificial neural network using two optimizers, Adam and SGD, was applied to the same dataset. In theexperiments, 100% and 97% accuracy was achieved in image-based classification, while SSIM-based classification achieved 100% and 61% for different classifiers.
MTU-Net: Multi-Task Convolutional Neural Network for Breast Calcification Segmentation from Mammograms
Authors: Alghamdi Manal
Published: October 2024

Computer-Aided Detection (CAD) is a technology that helps radiologists identify malignant microcalcifications (MCs) on mammograms. By minimizing observational oversight, CAD enhances the radiologist's detection accuracy. However, the high incidence of false positives limits the reliance on these technologies. Breast Arterial Calcifications (BAC) are a common source of false positives. Effective identification and elimination of these false positives are crucial for improving CAD performance in detecting malignant MCs. This paper presents a model that can eliminate BACs from positive findings, thereby enhancing the accuracy of CAD. Inspired by the successful outcomes of the UNet model in various biomedical segmentation tasks, a multitask U-Net (MTU-Net) was developed to simultaneously segment different types of calcifications, including MCs and BACs, in mammograms. This was achieved by integrating multiple fully connected output nodes in the output layer and applying different objective functions for each calcification type instead of training different models or using one model with a shared objective function for different classes. The experimental results demonstrate that the proposed MTU-Net model can reduce training and inference times compared to separate multi-structure segmentation problems. In addition, this helps the model converge faster and delivers better segmentation results for specific samples.