bluuebunny/crossref_metadata_2025 huggingface dataset:
Sankcja braku zgody wspólnika na podjęcie uchwały
Authors: Jurkowski Kamil
Published: October 2024

Artykuł porusza kwestię sankcji, jaką należy powiązać z brakiem uzyskania zgody wspólnika na podjęcie uchwały w przypadkach wskazanych w Kodeksie spółek handlowych (k.s.h.): art. 246 § 3 k.s.h., art. 30098 § 3 k.s.h. i art. 415 § 3 k.s.h. Poglądy prezentowane w tym zakresie przez przedstawicieli doktryny prawa handlowego są skrajnie rozbieżne. Kwestia uzyskania zgody wspólnika pozostaje natomiast kwestią szczególnie istotną z punktu widzenia ochrony przysługujących mu praw w spółce. Przeprowadzona analiza prowadzi do konieczności akceptacji stanowiska o bezskuteczności względnej takiej uchwały do chwili uzyskania zgody wszystkich wspólników. Brak zgody wspólnika lub bezskuteczny upływu terminu wyznaczonego na udzielenie zgody przez wspólników oznaczać powinien natomiast definitywną bezskuteczność uchwały. Za dopuszczalne uznać bowiem należy wyznaczenie wspólnikom terminu na wyrażenie zgody, przy czym termin taki może zostać wyznaczony już w umowie spółki, samej uchwale, jak również po podjęciu uchwały przez samą spółkę zgodnie z zasadami jej reprezentacji. Naturalną granicą wyznaczającą termin, do którego zgody muszą zostać wyrażone, wyznacza termin, w jakim powinno dojść do rejestracji zmiany umowy spółki.
Charakter prawny kompetencji do zwrócenia się do biegłego o wydanie opinii w toku postępowania administracyjnego
Authors: Dubiński Łukasz
Published: October 2024

W artykule podjęto zagadnienie prawnego znaczenia kompetencji organów administracji publicznej w zakresie zwracania się do biegłego lub biegłych o wydanie opinii. Zgodnie z art. 84 ust. 1 Kodeksu postępowania administracyjnego (k.p.a.), gdy w sprawie wymagane są wiadomości specjalne, organ administracji publicznej może zwrócić się do biegłego lub biegłych o wydanie opinii. Użycie słowa może w tym przepisie sugeruje, że organ prowadzący postępowanie administracyjne może swobodnie decydować o tym, czy wystąpi o opinię biegłego. Takie podejście interpretacyjne jest nie do zaakceptowania z perspektywy art. 7 k.p.a. W związku z powyższym w toku rozważań szczególny nacisk położony został na ustalenie znaczenia użytego w przepisie słowa może. Rozważania zostały przeprowadzone z wykorzystaniem metody dogmatycznoprawnej. Ustalono, że organ został wyposażony w kompetencję do dokonywania oceny, czy dla załatwienia sprawy konieczne jest wykorzystanie wiadomości specjalnych. Organ więc jest uprawniony (czyli używając języka z art. 84 k.p.a.: może) do wskazania, czy w jego ustawowo określonych „kompetencjach merytorycznych” mieszczą się informacje na temat określonych okoliczności, czy też stanowią one wiedzę ekspercką. Ustalono również, że pojęcie wiadomości specjalnych w rozumieniu k.p.a. nie powinno być interpretowane w taki sam sposób, jak w przypadku innych aktów proceduralnych. Przyjęto, że przez przywołane pojęcie rozumieć należy wiedzę, której posiadania ustawodawca nie wymaga od podmiotu prowadzącego określone postępowanie administracyjne.
Interaction of L1 attrition, language attitudes and identity in Lithuanian diaspora
Authors: Ramonienė Meilutė , Ramonaitė Jogilė Teresa
Published: October 2024

Researchers note that the complex process of language attrition is influenced by a plethora of multifaceted factors, among which attitudes and identity play significant roles. The aim of this paper is to analyse the way in which language attitudes and identity are related to Lithuanian L1 attrition in Lithuanian emigrant communities residing in various countries worldwide. This is achieved by studying the extralinguistic factors, such as convictions about the importance of the heritage Lithuanian language in life, feelings associated with the Lithuanian language, identification with the culture and history of the native and/or host country and the country itself. The quantitative data comes from large-scale Lithuanian diaspora surveys and is used to analyse the link between self-perceived L1 attrition, language attitudes, and identity. The analysis is illustrated by citations from the in-depth interviews that constitute the qualitative part of the data. The study’s results show that there is a correlation between the perceived Lithuanian L1 attrition and both language attitudes and identity. The language attitudes of those emigrants who perceive their L1 attrition are less positive towards the L1, and they identify less with Lithuanian culture and Lithuania when compared to those who do not perceive attrition.
Phenology of Nipaecoccus viridis (Hemiptera: Pseudococcidae) in Florida citrus groves
Authors: Olabiyi David O. , Stelinski Lukasz L. , Diepenbrock Lauren M.
Published: October 2024

Hibiscus mealybug, Nipaecoccus viridis (Newstead) (Hemiptera: Pseudococcidae), is an invasive pest of citrus in Florida. It causes deformation and premature abortion of developing fruit. To date, hibiscus mealybug has been reported causing damage in commercial citrus groves in central and southern regions of Florida. As a recent invader, there is no information available on the phenology of this invasive pest on citrus in Florida. We sampled hibiscus mealybug population densities in six commercial citrus groves in central Florida throughout 2021 using absolute and relative sampling techniques. Results from absolute sampling showed that hibiscus mealybug completes multiple generations per year, with three of them being clearly defined. The first (March) and second (June) generations pose the greatest threat to citrus production in Florida. Results from relative sampling showed that a corrugated cardboard band trap is an effective tool for detecting and quantifying the population density of the pest in citrus in Florida. Our results also showed that the seasonal abundance of hibiscus mealybug was not influenced by new vegetative growth of citrus trees, nor by environmental factors measured at Florida Automated Weather Network stations close to the sampling sites. This description of the seasonal phenology of hibiscus mealybug will help improve the timing and effectiveness of management efforts for controlling this invasive pest in citrus groves in Florida.
Definition of materials chemistry (IUPAC Recommendations 2024)
Authors: Drábik Milan , Macaluso Robin T. , Krivosudský Lukáš , Armelao Lidia
Published: October 2024

Materials chemistry is focused on the design, preparation, and understanding of innovative materials. It is an emerging area of research where definitions are not well established. This document defines the area of materials chemistry for the benefit of chemistry communities and the general public worldwide interested in this discipline. This recommendation defines the term “materials chemistry” as the “scientific discipline that designs, synthesizes, and characterizes materials, with particular interest on processing and understanding of useful or potentially useful properties displayed by the materials designed and synthesized for specific applications.”
Elemental Characteristics of Particulate Matter (PM₁₀ and PM₂.₅) from Peat Swamp Area in Kuala Pahang
Authors: Eng Hwai Ern , Teoh C.S. , Ismail F. , Abd Razak A.S. , Sulaiman S.
Published: October 2024

Particulate matter (PM) is normally being divided into two common groups known as: the coarse fraction particle with a range of sizing from 2.5 to 10 UM (PM10–PM2.5), and the fine fraction particles with a dimension smaller than 2.5 µm (PM2.5). It is also can be defined as a sum of solid and liquid particles which suspended in the air. The contribution of particulate matter towards the air pollution from peat swamp area in Kuala Pahang can be generated from various sources such as unpaved road, vehicle, open burning and uncover soil. In fact, monsoon season also play an important role where PM can be conveyed by wind from one location to another. Air pollution has become a matter of concern over Malaysia. The objective of this survey is to determine the particular matters in the air by using Aeroqual AQM 65 which is located in Kuala Pahang, Pekan. Air Pollution Index (API) is the reading to determine the quality of air whether it suitable and safe for human being. The data is obtained from the Aeroqual AQM 65 machine starting for April 2019 till March 2020. The survey will last for 12 months to generate a reliable result. From the API gain, the government can work out with some ideal on improving the surrounding air quality in the meantime to generate different strategy to overcome the problems. According to Aeroqual AQM 65, the reading of concentration of PM10 and PM2.5 are almost the same yet the concentration of PM10 is still slightly higher than PM2.5. According to the analysis, there is a rapid increase of concentration of PM form June to September and a sharp drop from September to March due to the happening of monsoon season. When the direction of monsoon season changes, the graph tends drop because the wind tends to convey the PM away.  Therefore, the reading of API of PM2.5 is higher than PM10 and the highest reading for both particular matter API is on September yet the lowest reading of API for both particular matters is on November.
The Performance of Pistia Stratiotes and Eichornia Crassipes for the Heavy Metal Removal during Backwash Water from WASRA System
Authors: Ismail Firdaus , Abdul Razak Abdul Syukor , Mohamad Termizi Ali Zainal-Abidin , Nasarudin Muhammad Amirul Syafiq , Sulaiman Suryati
Published: October 2024

This study was conducted to determine the ability of Phytoremediation technology in treating groundwater contaminated with high heavy metal content of waste water, which is known as backwash water, using WASRA. Two types of aquatic plants have been used as agents for the treatment of wastewater; water hyacinth (Eichhornia crassipes) and water lettuce (Pistia stratiotes). To absorb heavy metals from the wastewater, two tanks were used for placing the plants. All analyses on wastewater are based on the Standard Procedures issued by American Public Health Association (APHA, 2017). The study of plant morphology is also conducted, where the study uses FESEM/EDX methods to determine the type of heavy metals found in these plant parts.  These plants were divided into three parts which are leaves, stems, and roots. Based on experiments, different species of plants have the ability to remove metals at different levels of effectiveness. Thus, the two species, used as agents of phytoremediation are successful in removing heavy metals, with a removal rate of 50.79% to 88.49%. Pistia stratiotes precedes absorption rates of various heavy metals in high rates in the root part. In conclusion, phytoremediation technology has a very high potential in removing pollutants from water.
The Assessment of Mixing Solid Waste from Palm Kernel Cake and Indigofera Zollingeriana as Chicken Feed towards the Free-Range Chicken Growth Rate
Authors: Mohamad Termizi Ali Zainal-Abidin , Abd Razak Abdul Syukor , Nasarudin Muhammad Amirul Syafiq , Hairolnizam Nurul Farah Anisa , Farah Amalina  , Sulaiman Suryati , Ab Hamid Mohd Rashid , Samat Noraini
Published: October 2024

This study is to determine the characteristics of the palm kernel cake (PKC) and Indigofera zollingeriana and its suitability as the ingredients for animal feed. This study focuses on the chicken feed formulation optimization with mixture of the solid waste and the Indigofera zollingeriana. This study also investigates the effect of the formulated chicken feed towards the growth of the chicken within the experimental duration. The formulated chicken feed with palm kernel cake and Indigofera zollingeriana have the nutrients needed for the chicken to grow healthily and this shows that the agro-industrial waste can substitute the corn as the main ingredient in chicken feed.
A Review: The Utilization of Indigofera Zollingeriana as Animal Feed Additional Supplements
Authors: Mohamad Termizi Ali Zainal-Abidin , Abd Razak Abdul Syukor , Nasarudin Muhammad Amirul Syafiq , Hairolnizam Nurul Farah Anisa , Farah Amalina  , Sulaiman Suryati , Bin Ab Hamid Mohd Rashid , Samat Noraini
Published: October 2024

This review explores the possibility of Indigofera Zollingeriana as an animal feed supplement. With the increasing price of the ingredients for animal feed, we need to find alternative food source for the livestock. It examines the environmental and economic considerations of cultivating this plant specifically for animal consumption. Additionally, the review delves into the potential nutritional value of Indigofera Zollingeriana, assessing its suitability as a feed supplement to enhance animal health and productivity. The core focus lies in determining the feasibility of incorporating Indigofera Zollingeriana into animal feed production systems in a way that is both environmentally responsible and economically viable. By evaluating its potential as a sustainable feed source, this review contributes to the ongoing search for innovative and eco-friendly solutions to meet the growing demand for animal feed to solve the food security issues.
Effect of Thickness of Reinforced Concrete Jacketing on Solid Reinforced Concrete Beam’s Flexural Strength - A Critical Review
Authors: Ishaq Maryam Basil , Karim Ferhad Rahim
Published: October 2024

Repairing and rehabilitating structures is a significant aspect of construction activities, and reinforced concrete is a widely used material worldwide. Nevertheless, structures constructed with reinforced concrete often undergo various forms of damage, including overloading, natural disasters such as earthquakes and floods, fire incidents, environmental impacts such as corrosion, and alterations in building functionality, before reaching their intended design lifespan. These damages can lead to structural elements failing to meet functional requirements within their designated service life. It was applied to strengthening to ensure the member could safely support its intended load. This study investigates the effect of various thicknesses of reinforced concrete jacketing on flexural strength resistance. Reinforced concrete jacketing is a widely used technique for structural rehabilitation and strengthening that involves applying additional layers of concrete to existing structures. The study investigates various jacketing thicknesses and their impact on the structure's flexural strength. In this study, the increase in load carrying capacity is between 1.5 and 3 times greater than the original samples. This difference is caused by differences in the material, the steel reinforcement, and the thickness of the jacketing. Reinforced concrete jacketing can increase stiffness by up to 173%.
Development of Safety Assessment Framework for Industrialised Buildings Construction in China Using Analytic Hierarchy Process (AHP)
Authors: Chen Xue , Azman Mohamed Nor Azhari
Published: October 2024

This study focuses on the safety assessment of industrialised buildings in China. Given the marked differences in safety risks between industrialised and traditional buildings, this paper uses a literature analysis method to identify factors affecting the safety of industrialised buildings. These risk factors are further verified through interviews and questionnaires. Using the Analytic Hierarchy Process (AHP), this research establishes a safety rating framework that analyses the impact of people, materials, machinery, technology, management, and environment on the safety of industrialised buildings and assigns appropriate weights to these factors. The findings suggest that management plays a critical role in the success of industrialised building projects and that environmental factors, although less considered in current practice, also have an impact on the safety of industrialised buildings. There are some differences in the importance attached to these criteria by professionals from different backgrounds, and therefore the management of safety in industrialised buildings needs to take sufficient account and balance the perspectives and needs of different stakeholders.
Shear Strengthening of RC Corbels with Carbon Fiber Reinforced Polymer Sheets: A Critical Review
Authors: Ali Mohammed A. , Karim Ferhad Rahim
Published: October 2024

Reinforced concrete corbels are essential components in construction that function as short cantilevers to provide support for different pre-cast and pre-stressed structural elements. The corbels often experience failure modes such as shear, flexural, diagonal shear, anchoring loss, vertical splitting, and bearing failures. These modes arise due to variables such as insufficient reinforcing and inadequate detailing. In order to address these problems, the use of CFRP as a form of reinforcement may be used. This study aims to provide several methods for reinforcing corbels using CFRP jacketing, which is chosen for its exceptional strength-to-weight ratio and simplicity of application. The efficacy of CFRP reinforcements is evaluated by means of load capacity, load-displacement curves, and fracture patterns. The addition of two layers of external CFRP reinforcement on concrete corbels resulted in an average increase in load bearing capacity of up to 35%. Furthermore, the experimental results have shown that CFRP has the capability to substantially enhance the load-bearing capacity of RC corbels, even if it does not reach the levels of the original design.
A Review on Traditional Villages Protection and Development in China
Authors: Zi Hua Zhou , Jamaludin Omar , Shu Ing Doh
Published: October 2024

Traditional villages serve not only as a habitat for inhabitants to grow and dwell but also as a significant domain for the preservation of historical and cultural legacy, bearing the fond memories of local residents and accumulating substantial economic and cultural worth. The advancement and fostering of traditional villages constitute a primary objective within the contemporary academic realm. Drawing upon data extracted from the Scopus database spanning from 2007 to 2024, this study undertook a comprehensive examination and structural analysis of pertinent research concerning the safeguarding and progression of Chinese traditional villages through data aggregation and synthesis. The outcomes of the investigation are outlined as follows: (1) Areas of focus in research on the safeguarding and advancement of Chinese traditional villages encompass spatial arrangement, assessment frameworks, and the promotion of tourism. A consensus has also been reached regarding the essence of traditional village preservation: primary stakeholders in the preservation process should include government entities, businesses, scholars, residents, and other involved parties, the focal point of preservation should be the village core, the fundamental phase of preservation and advancement revolves around categorized evaluation, and the approach to safeguarding and development involves the revitalization and activation of the village. Spatial pattern research methodologies encompass GIS spatial analysis, space syntax, data compilation, and assessment, while evaluation techniques include the Delphi method, analytic hierarchy process, and fuzzy comprehensive evaluation. (2) The existing research on the evolving landscape of traditional villages is deemed inadequate, lacking a comprehensive framework to provide guidance, and largely concentrated within a specific research scope. (3) Subsequent research endeavours should employ systematic frameworks to delve deeply into the study of traditional villages that are in a state of development but lack distinct characteristics. Addressing the issue of traditional villages' lack of vibrancy and fostering the resilience of traditional villages are vital objectives for future research.
Investigation on the Space Patterns and Influential Factors for Distribution of Traditional Villages in Sichuan
Authors: Zi Hua Zhou , Jamaludin Omar , Shu Ing Doh
Published: October 2024

Traditional villages encapsulate the core of traditional culture and represent an indispensable element for rural revitalization. Nevertheless, over the past few decades, the continuous expansion of urban areas has resulted in the destruction of these villages. It holds immense importance to scrutinize the spatial arrangement and factors influencing the safeguarding and advancement of traditional villages. Previous research has predominantly concentrated on the value and protective mechanisms of traditional villages, overlooking their spatial distribution attributes and influencing factors. Hence, The paper focus on 396 traditional villages in Sichuan. Google Earth was utilized to rectify the longitude and latitude coordinates of villages. ArcGIS 10.8 and Geo-detector 2015 software was employed to examine the geographical distribution and influencing factors of traditional villages in Sichuan. The findings revealed that: (1) Sichuan traditional villages exhibit a clustered distribution, with the highest concentration found in Bazhong and Guangyuan cities in northeast Sichuan. Following closely are Li County of Aba Prefecture, Danba County of Ganzi Prefecture in northwest Sichuan, the junctions of Zigong, Neijiang, and Luzhou in southern Sichuan, and the junctions of Ya'an, Meishan, and Leshan in the Chengdu Plain. (2) Traditional villages in Sichuan are impacted by natural environmental and socio-economic factors, with temperature, altitude, precipitation, and distance from cities significantly affecting their distribution. (3) Approaches for the conservation and advancement of those villages include supporting spontaneously organized eco-friendly and sustainable agricultural projects by farmers, as well as planning the development of concentrated and contiguous tourism industries while protecting the ecological environment.
A Short Review on the Utilization of Pozzolan Material in Concrete
Authors: Shaedon Shuhaimi , Abd Aziz Azrina , Embong Rahimah
Published: October 2024

This paper provides a short review on the agricultural waste and industrial waste as pozzolan material in concrete. The pre-treatment method, characterization process and the engineering properties of a suite of pozzolans used including rice husk ash (RHA), corn cob ash (CCA), sugarcane bagasse ash (SCBA), bamboo leave, oil palm shell (OPS), and others was studied. From the study, the agricultural waste which is Oil Palm Shell is highlighted to be use as pozzolan material in concrete apart for other used. Oil Palm Shell (OPS) ash as one of the agricultural based pozzolan gained less popularity due to its relatively low amorphous silica content after incineration process (< 50% silica). Therefore, an alternative approach was studied form the previous researcher to extract high proportion of amorphous silica from OPS ash that fulfils the minimum requirement of pozzolanic standard.
LINKING THE ACCOUNTING INFORMATION SYSTEM PERFORMANCE AND COMPETITIVE ADVANTAGES OF SMEs
Authors: Huu Nguyen Thien , Long Kweh Qian , Tang Tri Hung
Published: October 2024

Competitive advantages and Accounting Information System (AIS) are progressively gaining the attention of management accounting practitioners, managers, and academics due to their significant influence on performance, profit, stainable growth, and growing acceptance by SMEs. This study aims to investigate the connections between these two large fields and offer suggestions for their joint consideration. The main objectives are to: (1) Review the relevant literature of both frameworks, (2) identify the benefits of their concurrent application, and (3) develop a theoretical framework model that integrates their separate concepts. The results contribute to proposing new ways of enhancing AIS performance. Furthermore, these managing approaches are compatible with complementary and their combined execution could assist SMEs in improving their overall performance and enhancing their competitive advantages. Their combined use could also facilitate the dissemination of Accounting Information System and strategic management accounting approaches for SMEs.
A Systematic Literature Review of Web-based Tools Application in ESL and EFL Writing Classes
Authors: Kassim Asiah , Kassim Hafizoah , Nik Mohd Alwi Nik Aloesnita , Nordin Mohd Shukri , Rahim Mahdalela
Published: October 2024

The 1990s saw the advent of internet use, eventually termed as web 1.0. Embracing this technological evolution, language learning classrooms have been using this digital tool in the teaching and learning processes. The paper systematically analysed the literature on this digital use for writing in ESL/EFL classes published between 1990 and 2023, aiming at identifying the most frequently used web-based tools in writing classes, exploring their facilitative features in developing learner’s writing skills and evaluating their effects on the development of varied writing types. Ninety-three articles retrieved from five major databases - Science Direct, Scopus, SpringerLink, Taylor & Francis and Web of Science - were analysed using the content analysis method. Findings revealed that writing classes in recent years have been primarily utilising social media channels, such as Facebook, collaborative authoring platforms, for example, Google Docs and data-driven learning tools like Corpus, optimising the interactive and interconnectedness of these applications. Further exploration disclosed the facilitative features contributed mainly by the interactive element of the web, enabling teaching and learning of writing to take place in and outside of the classroom. Discussions also highlighted certain facilitative features perused in relation to different types of writing. This review affirms the facilitative benefits of web technology in enhancing the learners’ writing skills. It concludes by suggesting future studies for the teaching and learning writing for ESL and EFL learners.
Effects of the Highly Immersive Programme on ESL Learners’ Interest and Attitudes in Learning English in Belaga, Sarawak
Authors: Mohd Zainal Muhammad Firdauz , Tening Bato Train , Ricky Alan Gibson , Bayuong Patrick Duffy , Felix Arip Angela
Published: October 2024

Although the issue of learners' attitudes towards learning English as a second language (ESL) has been around for a long time, much remains to be learned about the factors that shape their enthusiasm for learning, particularly those who reside in primary schools in rural areas, where it is well known that learners have negative perceptions of and poor performance in learning the English language. This study investigated the effects of the Highly Immersive Programme (HIP) on ESL learners’ interest and attitudes in learning English. In this study, the researchers selected 123 learners ranging from Year 4 to Year 6 from a rural primary school in Sarawak, Malaysia to answer the closed-ended questionnaires. This study observed the positive effects of HIP on ESL learners' interest in learning English and their attitudes toward it. The findings further suggested that HIP can boost ESL learners' English language use, support their language development, and contribute to enhanced grammar skills. This study hopes its findings will serve as a valuable resource for improving English language education in Malaysia, pedagogically, particularly by benefiting a programme like the HIP, which can address the challenges faced by rural learners who lack opportunities to learn and use English effectively.
PARTIAL OCCLUSION OBJECT DETECTION BASED ON IMPROVED MASK-RCNN
Authors: LIU QINGCHUAN , Muhammad Azmi Ayub , Ahmat Ruslan Fazlina , Ab Patar Mohd Nor Azmi , Abdul-Rahman Shuzlina
Published: October 2024

In the grasping task of industrial robots, multi-target objects are often placed in disorder or even partially occlusion or stacked, which brings certain difficulties to visual detection such as accuracy and real-time. The traditional Mask-RCNN algorithm can achieve high detection accuracy in scene which the target objects are neatly placed, but in the complex scenarios such as disorderly placed or partially occlusion is still have space for improvement in accuracy and speed. Mask-RCNN introduces the mask head structure to achieve pixel level segmentation mask prediction, it achieves high detection accuracy but increases the amount of calculation, this cause the detection speed is limited. To deal the above problems, this paper proposes an indirect frame subtraction for loss function to improved Mask-RCNN, which uses adjacent frames as comparison templates to find differences for image, that is, after one recognition, the previous recognition result is used as the background, and the next change is used as the target. thereby improving the recognition accuracy, reducing the repetitive estimation of regions, and improving the detection accuracy and running speed. Through experiments on self-made datasets, it is proved that new method can improve the image recognition accuracy about 2.3%, another, image recognition time has been reduced by 9% and the FPS value is improved by 6 frames which indicate the speed was improved. The research has important reference significance for the realization of robot flexible grasping task in intelligent manufacturing environment.
AUTHOR-CENTRIC SCIENTIFIC PAPER RECOMMENDER SYSTEM TO IMPROVE CONTENT-BASED FILTERING APPROACH
Authors: Nura Mukhtar , Adamu Hamisu Zaharaddeen
Published: October 2024

Scholarly publications on the web are rapidly expanding, making it difficult for scholars to identify relevant study materials. Information overload makes it harder to find important material, especially for new researchers. Scholarly recommender systems solve this issue by employing recommendation techniques to assist researchers in locating appropriate literature based on their interests. Existing systems frequently rely on user profiles and public and non-public metadata, which leads to the persistent problem in scholarly recommendations called cold start. To deal with the challenges of cold start in scholarly-based recommender systems, this research suggests an improved Content-Based Filtering (CBF) approach that takes advantage of publicly available metadata, specifically the author(s) feature. The approach incorporated author(s) features into a scholarly recommender system to serve as a basis and key component for alleviating "A New Paper Cold Start Problem." The proposed approach implements the feature vectors of the metadata using the Count Vectorizer and similarity computation was performed using the Cosine Similarity formula."  An experiment using a publicly available dataset shows that the suggested method surpasses the approaches previously proposed by other researchers regarding recommendation accuracy and relevancy, making it a dependable and efficient instrument for scholarly recommendation. The result also shows the effectiveness of the author(s) feature in tackling new papers in scholarly recommendation systems.
HETEROGENEOUS ENSEMBLE FEATURE SELECTION: AN ENHANCEMENT APPROACH TO MACHINE LEARNING FOR PHISHING DETECTION
Authors: Olukoya Bamidele Musiliu , Ogunleye Gabriel Opeyemi , Olabisi Patrick Olaniyi , Adegoke Adesoye Sikiru
Published: October 2024

Presently, phishing attacks are recognized as a global pandemic, which is adversely affecting global security and causing setbacks to global economy. A successfully conducted phishing attack (cybercrime) results in devastating effects such as: bankruptcy for people and corporations, mostly leading to information and financial fatalities. In the pursuit of accurately providing solutions against phishing threats, machine learning techniques were found to be the right antidote in the detection processes. One of the most important sub-tasks in supervised ML models is feature selection as it helps to eliminate unnecessary features from the dataset without sacrificing data quality.  Feature selection is a serious challenge in phishing detection and other classification tasks. The worth of the selected attributes/variables plays a key role in building powerful models and poor-quality data frustrates the process. This work explores the use of ensemble feature selection in data mining to select meaningful features. A novel feature selection technique for phishing detection is proposed, based on frequent, necessary, and correlated items. The innovative Heterogeneous Ensemble Feature Selection framework (HEFS) framework produced a new set of webpage features highly informative apart from the usual common features used for phishing detection. Two experiments were conducted in the process, and the results show that both the classical models and their ensemble versions performed amazingly well when evaluated on the baseline features compared to the component features. However, Boosted_NB recorded the highest accuracy of 0.974 (97.4%). The HEFS is highly recommended as an efficient feature selection method to detect correlated, frequent, and phishing-behaved features for machine learning-based detectors.
PERFORMANCE ANALYSIS OF SELECTED CLASSIFICATION ALGORITHMS ON ANDROID MALWARE DETECTION
Authors: Afolabi-Yusuf Ganiyat Kemi , Olatunde Y. O. , Obiwusi K. Y. , Yusuf M. O. , Abikoye O. C.
Published: October 2024

Android mobile devices are widely used across all platforms and the development of malicious apps can compromise a user’s mobile system. Considering the large amount of new malicious apps, there is a need for a detection system that can operate efficiently to identify these apps. The study analyzes and compares the performance of DREBIN and MALGENOME data sets with the dataset’s SMOTE version on selected machine learning algorithms using WEKA tools. The performance of bayesian, function, rule, and tree-based classification algorithms on the two datasets was explored in this work. WEKA tool was used in pre-processing and SMOTE class balancing of the datasets before the model training using different classification algorithms on the two datasets and the performance evaluation. In the performance evaluation, parameters such as accuracy, precision, f-measure, the area under cover, true positive, recall, and false positive rate were employed. According to the study, tree-based classifiers (Recursive Tree, Decision Tree and Classification and Regression Tree) algorithms have 97.24%, 98.21% and 98.21% accuracy on the Malgenome dataset and 97.30%, 97.33% & 97.28% of accuracy on Drebin dataset and functionbased classifiers (Support Vector Machine (SVM) and Logistic Regression) algorithms has 97.81% & 96.87% of accuracy on Malgenome dataset and 97.00% & 97.81% of accuracy on Drebin dataset which concludes that classifier algorithms in these groups proofed to be promising for the detection of android malware. The function-based classifier is the most outstanding method for the two datasets as it outperforms all other classifiers for both classes with 97.81% and 97.33%. SVM and Logistic Regression, are highly effective in detecting malicious Android apps, outperforming other classifier types with accuracy rates up to 97.81%. Tree-based classifiers also showed strong performance across DREBIN and MALGENOME datasets. This research underscores the potential of function-based algorithms as robust tools for enhancing mobile security against malware threats.
Large eddy simulation of passive noise reduction in subsonic jets by using chevrons
Authors: Tewari K. , Dewan A. , Narayanan V. , Dogra G.
Published: October 2024

Chevrons are widely used passive noise reduction devices that have emerged as an significant breakthrough for aicraft industry in enabling substantial noise reduction without sacrificing thrust. However, the conventional testing of different chevron designs necessitates costly experimental facilities. This challenge can be circumvented through computational validation using CFD. Hence, this study employs a hybrid computational aeroacoustics approach to assess the viability of chevrons as a passive noise reduction technique within free subsonic jets using the commercial CFD software StarCCM+. Two sets of numerical simulations performed with and without chevrons applied at the end of the nozzle were examined. The dynamic Smagorinsky model was utilized to resolve the sub-grid scale stresses in these simulations of turbulent flows, which were run using large eddy simulation at an exit Mach number of 0.75. Using Ffowcs Williams Hawkings acoustic equations and the Fourier transform, the far-field analysis was performed on the acquired flow field to calculate the jet noise distribution in terms of the Sound Pressure Levels (SPL). The  simulation results for free jets show good agreement with the published experimental data in terms of capturing the mean flow field and the acoustic levels in farfield. The simulations with chevrons show a reduction of approximately 2-3 dB in the farfield which results from a reduction in low-frequency mixing noise due to the creation of vortices in the shear layers. This result substantiates the capability of the computational aeroacoustics technique to evaluate chevron designs for effectively mitigating jet noise, particularly at high Mach numbers.
The behaviour of ternary hybrid nanofluid: Graphene oxide, Aluminium oxide, Silicon dioxide in heat transfer rate
Authors: Hanapiah F. M. , Zakaria Irnie Azlin , Makhsin S. R. , Hamzan N.
Published: October 2024

The miniaturization in the design of the electronic system became inevitable due to the rapid advancement and development of technology. This has imposed challenges to the thermal management capability as the heat flux density has increased tremendously due to a smaller heat transfer surface. Nanofluids adoption in electronic cooling seems to be an alternative way for better heat dissipation. This research explores the feasibility of ternary hybrid nanofluids GO: Al2O3: SiO2 in water with different volume concentrations and mixture ratios in a serpentine cooling plate. In this research, 0.01% GO + Al2O3: SiO2, 0.006% GO + Al2O3: SiO2, and 0.008% GO + Al2O3: SiO2 in mixture ratios of 10:90 and 20:80 (Al2O3: SiO2) were studied. The result showed that 0.01% GO + Al2O3: SiO2 (10:90) nanofluids displayed the highest enhancement of heat transfer coefficient with 1.1 times higher as compared to the base fluid. This was then followed by 0.008% GO + Al2O3: SiO2  (10:90) and  0.006% GO + Al2O3: SiO2 (10:90) with 1.03 times and 0.87 times higher heat transfer coefficient enhancement consecutively as compared to the base fluid. In term of mixture ratios, GO in 10:90 (Al2O3: SiO2) performed better than 20:80. To assess the feasibility of adoption, the advantage ratio (AR) was conducted to measure both heat transfer enhancement and pressure drop effect. The AR analysis showed that at the lower Reynolds, Re number region, the 0.01% GO + Al2O3: SiO2  (10:90) ternary hybrid nanofluids was proven to be the most feasible due to a higher ratio of heat transfer enhancement over the pressure drop penalty.
Empowering industrial automation labs with IoT: A case study on real-time monitoring and control of induction motors using Siemens PLC and Node-RED
Authors: A. H. Embong  , Asbollah L. , Abdul Hamid S. B.
Published: October 2024

This initiative discusses the utilization of the Internet of Things (IoT) to enable smart control and monitoring of multiple devices in an industrial automation lab. The traditional manual approach of overseeing device performance in the industrial sector is prone to errors and lacks scalability and efficiency. The investigation compares Node-Red and Labview and proposes a design for remote control and monitoring. The process involves Node-Red, Siemens S7-1200 PLC, Sinamics V20 and an induction motor. Key steps include configuring frequency data exchange between Node-RED and the PLC, allocating frequencies based on an ID communication protocol, and using PLC data to power the induction motor via the Variable Frequency Drive (VFD). An experimental setup aims to validate the system’s applicability and functionality by comparing theoretical data with experimental results. The study included a no-load test to observe motor shaft operation and a variable load setup where the motor was subjected to varying loads. Real-time monitoring of speed and torque adjustments was facilitated by the control unit. The no-load test revealed an average slip of 0.06 for the motor, with a direct voltage-frequency relationship. In the variable load test, the motor maintained a consistent voltage-to-frequency ratio, while current behaviour varied across different load ranges. By leveraging IoT connectivity using Siemens PLC S7-1200, this project demonstrates real-time data collection and analysis using Node-RED, Google Firebase, Google Sheets, and remote-control capabilities, leading to improved operational efficiency, reduced downtime, and increased productivity. The article emphasizes the significance of IoT in industrial automation labs and highlights its potential to revolutionize device control and monitoring, particularly focusing on the analysis of induction motors. The main challenge was to interface the devices to create an interconnected robust system, which was successfully overcome by implementing various IoT protocols. The system generated promising results, confirming IoT’s potential in industrial automation.
Numerical and experimental investigation for swing-up control of an inverted pendulum using Arduino microcontroller
Authors: Donatoni M. M. , Chavarette F. R. , Preto E. , Karmouche D. C. J.
Published: October 2024

The Inverted Pendulum is a classic control problem, it has non-linear dynamics, is underactuated and naturally unstable. Thus, the development of a system capable of controlling it goes through challenges such as modeling, design requirements and implementation of the control hardware. This work proposes the swing-up of the linear inverted pendulum using energy method with adjustable parameters, followed by its stabilization by an LQR controller. This work demonstrates how the system can be implemented using an Arduino microcontroller for acquisition of state variables and control commands. Furthermore, as a highlight, the implemented algorithm indicates a way to stabilize the sampling frequency, making the derivative process stable in the applied hardware, making control optimized. The applied method was efficient to perform the swing-up, consistent with the simulations and as effective as what is seen in the literature.
Effect of the Mn and Cr contents on the oxidation and creep resistance at 1100°C of cast cantor–based HEAs
Authors: Berthod P. , Aranda L. , Gay C. , Chenikha N. , Spaeter P. , Etienne E. , Medjahdi G. , Vernière A.
Published: October 2024

Cast High Entropy Alloys (HEAs) derived from the Cantor’s composition may represent alternative substitutional solutions to the superalloys which are constituted for more than half of the critical elements nickel and cobalt. Recently, MC–alloyed HEAs constituted by a Cantor’s type matrix associated to an efficient interdendritic network of MC carbides, have demonstrated promising creep resistance at elevated temperatures. Regrettably, they also show poor high temperature oxidation resistance. This bad oxidation behavior is possibly due to the deleterious effect of manganese and to a too low content in chromium. New alloys were elaborated and tested in oxidation at 1100°C with thermogravimetry follow–up and metallographic characterisation, and their creep behavior was controlled. With less Mn and more Cr than the original alloys, these new alloys demonstrated significant progress in oxidation resistance. These changes in chemical compositions did not modify their creep resistances which were globally maintained, for the carbide-free alloy as well as for the MC-containing ones. These Mn-decreased and Cr-increased MC-containing alloys can be considered as low-cost alternative to polycrystalline Ni or Co-based superalloys for working in moderate conditions of corrosive fluids and applied mechanical stresses.
Numerical analysis of the thermal state of a cylindrical body cooled by an internal fluid flow
Authors: Yessaulkov V. , Mitrofanov A. , Abishev K.
Published: October 2024

Mechanical engineering has its own specifics when it comes to describing the thermal state of cylinders. The heating and cooling of bodies with a cylinder surface as their heat exchange area can be considered an important technical task that requires appropriate mathematical foundation. The purpose of this work is to construct a mathematical description of the thermal state of a thermally massive cylinder cooled by a liquid passing through a coaxially located channel. The study proposed a one-dimensional mathematical model for the numerical study of the thermal state of a thermally massive cylinder cooled by a liquid passing through a coaxially arranged channel inside the body under consideration. The mesoscopic modeling scale is the basis of the mathematical model, which employs the mathematical approach of Markov chains theory. The numerical evaluation of cooling scenarios in the flow and looping mode of the cooling fluid movement is carried out. The operability of the mathematical model was investigated by performing a series of numerical experiments. The numerical experiments with the model have shown the possibility of a qualitatively consistent analysis of possible cooling scenarios and their significant differences. The qualitative reliability of the results allows us to consider the proposed model as a reliable scientific basis for describing more complex cooling systems used, for example, in transport technologies and processes.
Advancements, challenges, and implications for navigating the autonomous vehicle revolution
Authors: Hossain Md Naeem , Rahman M. M. , Ramasamy D. , Kadirgama K. , Noor M. M.
Published: October 2024

The deployment of self-driving cars has significantly impacted society, offering several benefits such as better passenger safety, convenience, reduced fuel consumption, minimised traffic congestion and accidents, cost savings, and improved reliability. With the development of automated driving systems, autonomous vehicle technology has progressed from human-operated vehicles to conditional automation, utilising an array of sensors to constantly observe their surroundings for potential hazards. However, it is crucial to highlight that full autonomy has not yet been reached, and there are several problems involved with this revolutionary technology. This article explores the advancements, challenges, and implications inherent in the widespread adoption of autonomous vehicles. Recent advancements in sensor technology (cameras, RADARs, LiDARs, and ultrasonic sensors), artificial intelligence, the Internet of Things, and blockchain are just some of the topics covered in this article regarding autonomous vehicle development. These advancements are critical to evolving and incorporating autonomous vehicles into the transportation ecosystem. Furthermore, the analysis emphasises the considerable problems that must be overcome before self-driving cars can be widely adopted. These difficulties include security, safety, design, performance, and accuracy. Focused solutions such as increasing cybersecurity protections, refining safety standards, optimising vehicle design, enhancing performance capabilities, and assuring correct perception and decision-making are proposed to tackle these challenges. Lastly, autonomous cars have great promise for transforming transportation systems and improving a wide range of areas of our lives. Nevertheless, successful implementation requires overcoming existing difficulties and pushing technological innovation’s limits. By solving these problems and capitalising on artificial intelligence, the Internet of Things, and blockchain breakthroughs, we can navigate the autonomous car revolution and realise its full potential for a safer, more efficient, and sustainable future.