bluuebunny/crossref_metadata_2025 huggingface dataset:
Encouraging creativity in standardized postgraduate programs with PPW
Authors: Ruiz Rodrigo , Oliveira Heleise Faria dos Reis de , Balcão Filho Amândio Ferreira , Oliveira José Ricardo Lourenço de , Ruppert Guilherme Cesar Soares , Abrantes Cleiton Soares , Romanelli Cláudio Henrique José Ballande
Published: October 2024

This article explores the concept of PhD by Previously Published Works (PPW) and proposes the unification of the 42 different terms currently used to describe this doctoral pathway. It also provides a very comprehensive dataset on PPW regulations. The study compares three distinct models of PPW and examines the feasibility of adopting this modality in Brazil. The research investigates the recognition of high-performance self-taught researchers by considering recent advancements in European postgraduate systems, with a focus on the United Kingdom, Norway, Ireland, and France. Two main questions are addressed: (1) whether PPW represents a viable alternative to traditional doctoral programs and (2) how this modality is implemented in the analyzed countries. The study argues that rigid and bureaucratic educational structures often limit creativity and innovation, highlighting the need for more flexible approaches in postgraduate programs. Academic environments that promote diverse thinking and encourage experimentation are better positioned to nurture excellence and creative potential. The results show that countries such as the United Kingdom, Norway, Ireland, and France have adapted their educational systems to balance quality and creativity, offering valuable insights for potential improvements in the Brazilian academic landscape. The conclusion emphasizes that PPW should not be seen as a shortcut, but rather as a rigorous alternative that recognizes the significant contributions of researchers who may not have followed traditional academic paths. Implementing PPW in Brazil could enhance the national academic environment by valuing the substantial work of experienced professionals and fostering a culture of innovation and excellence in research.
A Arte como meio de aprendizado e socialização do aluno com Transtorno do Espectro Autista (TEA)
Authors: Carvalho Gislene , Okimoto Maria Lúcia Leite Ribeiro
Published: October 2024

O dia a dia da sala de aula do ensino básico caracteriza-se pela diversidade de alunos com referências completamente diversas, por necessidades educacionais específicas, dentre os quais está o Transtorno do Espectro Autista, TEA. Os profissionais que estão nesses segmentos, são cada vez mais exigidos a fim de ampliar as perspectivas pedagógicas, relacionais e emocionais. A Arte como caminho agregador de aprendizagem, têm um rico estado a ser desenvolvido, aprimorado e aplicado, no intuito de tornar prazeroso, criativo e amplo o desenvolvimento pedagógico e emocional dos alunos com TEA. Este estudo, tem o objetivo de analisar como o ensino da Arte aprimora e influência do processo de aprendizagem e sociabilização dos alunos com TEA. Para atingir o objetivo, a metodologia utilizada deste estudo foi a de análise de comportamento. O estudo foi dividido em três partes: primeiro uma breve menção às características e diagnósticos do TEA. No segundo momento, levantamento de leis que regulamentam a inclusão em nosso país, e por fim, o estudo observacional de comportamento de como a Arte contribui para o desenvolvimento desses alunos. Concluímos neste estudo que a Arte como fator no desenvolvimento humano traz consigo responsabilidades, e foi constatado que quando colocamos o aluno com TEA em contato com as diferentes possibilidades que a Arte pode proporcionar, houve uma melhora tanto no desenvolvimento cognitivo, na interação e no envolvimento nas atividades quanto nos aspectos de coordenação motora, emocional e em suas relações afetivas.
Determinants of Profitability of the Islamic Life Insurance Industry in Indonesia
Authors: Raissa Hafsari Juliana , Mukhsin Moh , Pardiansyah Elif
Published: October 2024

The purpose of this study is to ascertain how economic growth and company-specific variables affect the profitability of Islamic life insurance in Indonesia. This study employed a quantitative approach using a descriptive methodology. The sampling technique used purposive sampling with a sample of 10 Islamic Life Insurance companies in Indonesia. The results of this study indicate that partially the leverage variable has a negative and significant effect on profitability. Premium growth variable has a positive and significant effect on profitability. The variables of company size, tangibility, liquidity, and economic growth have no effect on profitability. While simultaneously the variables of company-specific factors (company size, leverage, tangibility, premium growth, and liquidity) and economic growth have a significant effect on profitability.
DNA Microarray Technology Principles and Applications in Genetic Research
Authors: Shi Chongwei
Published: October 2024

DNA microarray technology, a high-throughput gene analysis tool, has played a crucial role in genetic research. This paper explores the fundamental principles of DNA microarray technology, including its working mechanisms, sample preparation, and types of chips. It emphasizes the applications of DNA microarrays in detecting genetic variations and analyzing gene expression profiles, illustrating examples in single nucleotide polymorphism (SNP) analysis and genome-wide association studies (GWAS). The paper also discusses the technical details of high-throughput gene expression measurement and differential expression analysis. Additionally, it analyzes the main advantages of DNA microarray technology, such as high throughput and sensitivity, while also noting its limitations, including data interpretation complexity and technical costs. Finally, the paper looks forward to future development trends in DNA microarray technology, particularly its potential applications in personalized medicine.
A study investigating the integrated application of intelligent construction and assembly building based on BIM technology
Authors: Guo Yanxiao , Zhu Jinyi , Yang Senyu , Feng Xinyuan , Zheng Yuxin
Published: October 2024

The construction industry, is facing the inevitable trend of digital transformation in the new wave of technology. The general production and construction build cycle is long and on-site construction activities is associated with a number of environmental issues. Additionally, the construction progress points and management are not clear, which presents a challenge for the industry. Consequently, the objective of this article is to integrate and apply a range of technologies, including BIM (Building Information Modeling), cloud computing, big data, Internet of Things, 5G, RPA (Robotic Process Automation), and others, to on-site operation control by integrating them. This integration will facilitate the analysis of the considerable advantages of intelligent construction and assembly building in its application. The conference center of the Qionglai Talent Service Exchange Center will be used as a case study to demonstrate the potential of these technologies. The paper will also propose new views and ideas for addressing the challenges currently faced by the construction industry. The research findings indicate that the integration of multiple intelligent construction systems and assembly components enhances construction progress, simplifies construction processes, and minimizes construction-related pollution. This evidence supports the viability of efficient, intelligent, and sustainable building design and construction methodologies, and provides a robust foundation for the transformation and advancement of the industry.
Climate-Responsive Architectural Design: Analyzing and Adapting to Diverse Climates in U.S. Cities
Authors: Chang Xinzhi
Published: October 2024

The energy consumption challenge within the built environment is growing in urgency, underscoring an imperative for climate-responsive design solutions. This paper presents an in-depth analysis of the climatic characteristics of 12 U.S. cities, with a parametric platform, categorized under different Köppen climate classifications, with the aim of informing effective passive design strategies. Upon meticulously assessing the efficacy of various passive strategies tailored to distinct climate zones, this paper distills actionable guidance for deploying architectural methods that embody climate-responsive design principles. Theoretical models are developed to correlate climatic variables with specific passive design interventions. The research contributes to the theoretical discourse on passive design by advocation for a data-driven, climate-responsive design guidance that aligns with contemporary sustainability goals.
«Iste casus est fortis et durus». Dolo e colpa in un consilium di Egidiolo Cavitelli († 1419)
Authors: Dezza Ettore
Published: October 2024

Un inedito consilium in materia di tortura del giurista cremonese Egidiolo Cavitelli († 1419) consente di mettere a fuoco i tempi e i contenuti del dibattito sviluppatosi nella dottrina giuridica di diritto comune in ordine alla responsabilità del giudice in caso di morte dell’inquisito assoggettato a tortura ad eruendam veritatem. Il tema è trattato in più occasioni da giuristi di primo piano, tra i quali spiccano i nomi di Guido da Suzzara, Iacopo d’Arena, Alberto Gandino, Cino da Pistoia, Bartolo da Sassoferrato, Alberico da Rosciate e Baldo degli Ubaldi. Centrale in questo dibattito è la distinzione tra i casi in cui la morte del torturato sia imputabile a colpa dell’inquirente (inclusa la culpa lata) e quelli in cui l’evento sia di natura dolosa. Per la gran parte degli interpreti solo in quest’ultimo caso il responsabile deve essere sanzionato con la pena edittale, e cioè con la pena capitale prevista dalla Lex Cornelia de sicariis. Quando invece la responsabilità sia di natura colposa, mentre Guido da Suzzara propende per una soluzione rigorista, la maggior parte degli interpreti ritiene che il giudice responsabile della morte del torturato debba essere sanzionato con una poena extraordinaria affidata all’arbitrium iudicis. Accanto alla percezione del dolo come qualitas delicti, nel dibattitto in oggetto rilevante appare l’emersione di quella sorta di processo circolare che, nel pensiero penale di diritto comune, lega gli elementi soggettivi del reato alla valutazione della gravità del reato e alla commisurazione della pena (corporale o di altra natura). Un ulteriore elemento che caratterizza il consilium di Egidiolo Cavitelli è rappresentato dal ricorso da parte del giurista di Cremona al principio secondo il quale lo svolgimento di un officium costituisce un velamentum criminis, e cioè un elemento di attenuazione o di eliminazione tout-court della responsabilità penale dell’agente quando costui sia titolare di un pubblico officium. Relativamente diffuso nella dottrina bassomedievale, il principio sarà oggetto di una decisa critica a partire dal primo Cinquecento sulla spinta delle nuove sensibilità di matrice umanistica.
An overview of the principles and prospects of ADC drugs
Authors: Li Anzhi
Published: October 2024

ADC drugs, or antibody-drug conjugates, represent a class of specialized biopharmaceuticals employed in the treatment of neoplastic diseases and other specific medical conditions. ADCs are tailored therapeutics consisting of monoclonal antibodies covalently bonded to cytotoxic small-molecule payloads. These compounds gain entry into cancer cells by initiating endocytosis, ultimately deploying their intracellular cytotoxic agents to eliminate the malignancies. The theoretical advantage of such drugs is their ability to selectively target tumor tissue while sparing healthy cells. Since the introduction of the first ADC drug to the market in 2000, a surge of enthusiasm from diverse enterprises and research institutions has fueled the development and clinical evaluation of ADC drugs. Simultaneously, the field of ADC drug development has witnessed rapid advancements. This article aims to provide an overview of the fundamental structure and developmental evolution of ADC drugs, conduct a statistical analysis of ADC drugs currently in development, and explore potential future directions for the advancement of ADC drugs.
Aducanumab: The controversial drug for Alzhiemers Disease
Authors: Tu Sihan
Published: October 2024

Alzheimers disease (AD) is a neurodegenerative disorder characterized by a gradual and irreversible decline in cognitive function. The underlying pathology involves the accumulation of amyloid beta, a protein implicated in the development and progression of the illness. Aducanumab is a type of human monoclonal antibody that exhibits preferential immunoreactivity towards both soluble and insoluble aggregates of Amyloid Beta (A). Two phase 3 studies, namely EMERGE and ENGAGE, were conducted to evaluate the efficacy of aducanumab in individuals with early Alzheimers disease. These studies were designed identically, randomized, and double-blind in nature. Both trials were suspended early with the ineffective results shown in interim analysis for futility. Aducanumab was reassessed and met the primary and secondary clinical endpoints in EMERGE, but remains ineffective in ENGAGE. Reduction of A plaques was observed in the high-dose group (10 mg/kg), showing a dose- and time-dependent pattern. The primary safety concern with Aducanumab is amyloid-related imaging abnormalities (ARIA), particularly in ApoE4 carriers. Aducanumab is a new therapeutic strategy for AD, providing new treatment with disease-modifying potential. This paper evaluated the pharmacology, mechanism, clinical studies, and safety assessment of aducanumab. This research aims to provide a reference for the understanding of Aducanumabs current research status and results.
Comparison and analysis of multiple machine learning algorithms on prediction accuracy in Parkinson's patients
Authors: Yan Yutong
Published: October 2024

This paper describes an experiment on Parkinsons disease classification using multiple classification algorithms for comparison. Parkinsons disease is a common neurological disorder, and early diagnosis and classification are important for the assessment of treatment and prognosis. Therefore, the research implications of this paper are clear. The classification algorithms used in the experiment include adaboost classification model, XGBoost classification model, logistic regression regression model, random forest plain Bayesian classification model, bp neural network and support vector machine. The experimental results show that adaboost classification model performs well when dealing with small sample data, XGBoost classification model performs well when dealing with large-scale datasets, and logistic regression regression model and random forest plain Bayesian classification model also have good performance. The bp neural network and support vector machine, on the other hand, perform poorly in terms of classification results and require a much larger dataset for support. These experimental results have important reference value for the classification and diagnosis of Parkinsons disease. Different classification algorithms are suitable for different dataset sizes and characteristics, so in practical applications, we can choose different classification algorithms according to the size and characteristics of the dataset to achieve the optimal classification effect. In conclusion, the results of this paper provide a reference for the classification and diagnosis of Parkinsons disease, as well as a guide for choosing appropriate classification algorithms. In the future, we can further expand the dataset size and use more classification algorithms for comparison to improve the accuracy and robustness of Parkinsons disease classification.
Impact of a poverty simulation program on the unconscious biases – A multi-site study
Authors: Cockerham Mona , Camel Simone , Williams Mary
Published: October 2024

Background and objective: University-based, pre-licensure programs can expose healthcare students to the realities of poverty and its relationship to healthcare using an interprofessional Poverty Simulation. The aim of the study was to evaluate the effectiveness of a Poverty Simulation on the unconscious bias among health professions students.Methods: A pre-test/post-test online survey design was implemented (N = 181) at two institutions. Paired-sample t-tests compared pre-and post-simulation scores for the Poverty Attributions Survey (PAS) and Interprofessional Attitudes (IPAS) subscales.Results: Significant differences were found for the PAS subscales assessing Individual (pre-simulation M = 4.09, SD = 1.15; post-simulation M = 4.71, SD = 1.13) and Cultural attributions of poverty (pre-simulation M = 3.74, SD = 1.16; post-simulation M = 4.20, SD = 1.25); t(168) = -7.814, p < .001 and t(175) = -5.242, p < .001, respectively. A significant difference between pre- (M = 1.83, SD = .57) and post-simulation scores (M = 1.68, SD = .69) for the IPAS Teamwork, Roles, and Responsibility subscale was found, t(170) = 2.511, p = .013, Cohen’s d = 0.23.Conclusions: Results support engaging healthcare students in the realities of poverty to positively influence understanding and empathy, reducing unconscious bias.
Yeast culture combined with Lithothamnium increases the performance of feedlot steers
Authors: Cesar Paulo Victor Pinheiro , Passarin Filho Arno , Oliveira Paulo Eduardo Piemontez de , Rosa Caroline Bordignon da , Venancio Luísa da Costa , Campos Giuliano Pavani de , Figueiredo Adriana Nogueira , Manzano Ricardo Pereira , Neumann Mikael
Published: October 2024

The objective of this study was to evaluate the effectiveness of adding yeast culture (Saccharomyces cerevisiae) combined with Lithothamnium to the diet of feedlot steers through weight gain, dry matter (DM) intake, apparent DM digestibility, and carcass ultrasonography: T1 - diet with yeast culture (7g animal day-1); T2 - diet with Lithothamnium (60g animal day-1); T3 - diet with yeast culture (7g animal day1) plus Lithothamnium (60g animal day-1). Thirty-six ½ Angus Nellore steers, intact males, with an average initial weight of 350 kg and an average age of 11 months, were assigned to a completely randomized design composed of three treatments with six replications; each replication was represented by a pen with two animals. The animals were fed ad libitum twice daily, at 6:00 and 17:00 h. The diets consisted of 40% corn silage and 60% concentrate, on a DM basis. The feedlot period was 78 days, with 10 days of adaptation and 68 experimental days divided into two periods of 34 days each. The addition of yeast culture combined or not with Lithothamnium to the diet resulted in greater average daily gain (1.557 and 1.609 versus 1.440 kg day-1), better feed conversion ratio (6.72 and 6.91 versus 7.57 kg DM kg body weight gain-1), and increased the subcutaneous fat thickness (6.69 and 6.71 versus 5.72 mm). This is because of the higher apparent DM digestibility of the diet (71.11 and 69.32 versus 67.51%) compared to the isolated use of Lithothamnium. The addition of yeast culture, combined or not with Lithothamnium in the diet of feedlot steers, is recommended to improve animal performance and increase fat deposition in the carcass.
Supplementation in the last third of pregnancy in Nellore cows: calf performance and economics of the post-weaning phase
Authors: Melo Tobias Tobit de Barros , Santana Júnior Hermógenes Almeida de , Santana Elizângela Oliveira Cardoso , Aráujo Cíntia Mirely de , Cardoso Júnior Francisco das Chagas , Mendes Fabricio Bacelar Lima , Barbosa Júnior Mário Alves , Silva Breno Souza e , Souza Levi de Oliveira , Lima Arthur da Costa e Silva
Published: October 2024

The objective of this study was to assess the economics of the post-weaning phase and performance of Nellore calves born to dams that received protein concentrate supplementation during the final trimester of pregnancy. This research was organized into two phases: Phase I entailed a 90-day supplementation period for the dams in the last third of their pregnancy, and Phase II spanned from the birth of the calves to their weaning at 240 days. Twenty multiparous Nellore cows, subjected to fixed-time artificial insemination (FTAI), were divided into two groups: unsupplemented (US) and supplemented (SP), each comprising 10 animals. Statistical analysis was performed using an analysis of variance and the F-test with a significance level set at 0.05, within a completely randomized design. Among the parameters examined, only the total feed cost (US = BRL41.09 vs. SP = BRL112.22, P = 0.0001), effective operating cost (US = BRL872.51 vs. SP = BRL943.64, P = 0.0001), total operating cost (US = BRL925.51 vs. SP = BRL951.64, P = 0.0001), and total cost (US = BRL925.51 vs. SP = BRL996.64, P = 0.0001) were significantly affected by protein concentrate supplementation during the last third of pregnancy. Therefore, it can be concluded that while protein concentrate supplementation in the final stages of pregnancy does not influence the performance or morphological traits of calves, it does lead to increased feed and labor expenses. However, these increases do not negatively impact economic viability rates.
Անտիկ արվեստի ավանդույթների արտացոլումը կիլիկյան մանրանկարչության մեջ. նախնական հաղորդում
Authors: Գաբրիելյան Արմինե
Published: October 2024

Հայկական միջնադարյան մանրանկարչական դպրոցներից իր ինքնատիպությամբ, հարուստ զարդատարրերով և գեղարվեստական ոճով առանձնանում են կիլիկյան 13-14-րդ դարերի ձեռագիր մատյանները, որոնց անվանաթերթերի լուսանցազարդերում և խորանների ճակատազարդերում պատկերված են տարատեսակ իրական և առասպելական կերպարներ: Առանձնանում են հատկապես երկու դիմակով դերասանը կամ մեկ այլ եռադեմ կերպարը, նապաստակին ճանկող արծիվն ու մի քանի այլ հորինվածքներ, որոնք աղերսվում են անտիկ շրջանի գեմմաների պատկերների հետ: Դրանք հաճախ ոճավորվել են՝ հարմարեցվելով քրիստոնեական պատկերացումներին, իսկ երբեմն նաև՝ ուղիղ ընդօրինակվել անտիկ գեմմաներից:
The Cilician miniature school stands out among other Armenian miniature centers for its brilliance, rich design, and artistic style. Beginning from the 13th century, in addition to the Gospels, Cilician miniaturists also illustrated the Bible, Lectionary (Tchashots), the Book of Psalms, Narek, and many other works. The richly decorated front pages of the Lectionary of Hetum II (1268, MM979), and a Gospel (13th c., MM9422) feature various real and fantastic creatures related to the antique images. The images of an actor with a two-faced mask, a three-faced human head, an eagle holding a rabbit in its claws and other compositions were especially widespread in the glyptic of the Hellenistic period. These compositions found in the Cilician miniature of the 13th and 14th centuries are sometimes so stylized and adapted to Christian iconography that they lose their initial significance. At the same time, Cilician miniature also features specimens identical to the Hellenistic ones. The study of the latter reveals that medieval miniaturists were familiar with, or had on hand, the examples of the Hellenistic glyptic and used them to make copies of the images and compositions.
Киликийская школа миниатюры выделяется среди других армянских школ своим изяществом, богатым оформлением и художественным стилем. Начиная с XIII века киликийские миниатюристы, помимо Евангелия, иллюстрировали также Библию, Чашоц, Книгу Псалмов, Нарек и многие другие сборники. В композициях богато декорированных титульных листов Чашоца Хетума II (1268 г., ММ 979) и Евангелия XIII в., (ММ9422) часто можно видеть различных реальных и фантастических персонажей, восходящих к образцам античной глиптики. В античной глиптике особенно широкое распространение получили изображения так назывемого актера с двойной маской, трехликого образа, а также когтящего жертву орла и другие образы, которые, включаясь в композиции киликийских миниатюр XIII-XIV веков, иногда настолько стилизуются и приспособливаются к христианской иконографии, что теряют свой первоначальный смысл. В то же время, порой можно встретить примеры, идентичные античным образцами. Исследование последних показывает, что средневековые миниатюристы были знакомы или имели под рукой образцы античных резных камней и использовали их для копирования этих образов и сюжетов.
Վիշապը որպես չարի ու բարու խորհրդանիշ Հայաստանի ուշ միջնադարյան տապանաքարային արվեստում
Authors: Բաղդասարյան Սաթենիկ
Published: October 2024

Հայոց մեջ դեռևս վաղնջական ժամանակներից եղել է վիշապի պաշտամունք. այն բազմաբնույթ կերպավորում է ստացել հայկական մշակույթում՝ արտահայտվելով նաև խաչքարային և տապանաքարային արվեստում ։ Վերջին տարիներին վիշապների և վիշապաքարերի համակողմանի ուսումնասիրությանը նվիրված երկու ժողովածուներ են հրատարակվել, որոնցում ի մի են բերված հնագիտության, ազգագրության, բանագիտության, բանասիրության, արվեստաբանության և այլ բնագավառների տվյալները` բացատրելով «վիշապ » բառի ընկալման տարատեսակ փոխակերպումները: Վիշապի պաշտամունքի արտացոլումը արվեստում բազմիցս քննվել է տարբեր մասնագետների կողմից ։
The dragon has been a multifaceted figure in Armenian culture. Dragon worship has existed among Armenians since time immemorial, finding expression in khachkar and tombstone art. In recent years, two volumes have been dedicated to the comprehensive study of dragons and dragon stones, gathering data from archaeology, ethnography, philology, art, and other fields, thereby explaining the various transformations of the concept of “dragon”. The reflection of dragon worship in art has repeatedly been studied by various specialists.
Образ дракона был многогранным явлением в армянской куальтуре. Поклонение дракону существовало у армян с незапамятных времен, получив свое выражение в дальнейшем в иконографии хачкаров и надгробных памятников. В последние годы вышли два сборника, посвященные всестороннему изучению драконов и так назывемых вишапов (драконьих камней), основанные на данных археологии, этнографии, филологии, истории искусства и других областей, с помощью которых объясняются различные трансформации понятия «дракона».
Açık Hükümet Girişimi ve Türkiye’deki Uygulama Örnekleri
Authors: Durgun Sadegül
Published: October 2024

Bu çalışmanın amacı açık hükümet girişiminin üç temel bileşeni olan şeffaflık, katılım ve iş birliği temelinde Türkiye’deki uygulama örneklerini ele almaktır. Bilgi ve iletişim teknolojilerindeki gelişmelerle bağlantılı olarak daha önemli hale gelen ve talep edilen, yönetimin şeffaflığı, yönetime katılım ve iş birliği hususları kavram olarak yeni olmasalar da 2000’li yıllarla birlikte daha da önemli hale gelmiş ve Amerika Birleşik Devletleri’nde Barack Obamanın başkanlığı döneminde açık hükümet şeklinde deklare edilmiş olan girişimin özünü oluşturmuşlardır. İfade edilen hususlara ilişkin Amerika Birleşik Devletleri dışında pek çok ülkede farklı uygulamalar söz konusu olmuştur. Bu ülkelerden biri olarak Türkiye bilgi ve iletişim teknolojilerini de kullanarak şeffaflık, katılım, iş birliği hususlarını temin etmeye çalışmıştır ve çalışmaktadır. Bu noktada bu çalışmada e-devlet kapısı, Cumhurbaşkanlığı İletişim Merkezi (CİMER) ve kurumsal web siteleri araştırma konusu edilmiştir. Bu doğrultuda yerli ve yabancı kaynaklar derinlemesine incelenmiştir ve ifade edilen uygulamalara ilişkin istatistiki bilgiler kullanılarak çalışmada, bu uygulamaların açık hükümet girişimi noktasında fayda sağladığı ortaya konulmuştur.
Effect of the application of cashless policy on the sales performance of SMEs in Enugu Metropolis, Nigeria
Authors: Arum Obumneme Matthew , Achi Achi David , Ewuzie Cajetan Obinna
Published: October 2024

The cashless policy was introduced in Nigeria by the Central Bank of Nigeria (CBN) in December 2011 and was kick-started in January 2012. The main aim of this study was to evaluate the effect of the application of the cashless policy on the sales performance of SMEs in Enugu metropolis. The specific objectives were to: ascertain the extent to which the use of Point of Sale (POS) systems increases the sales volume of SMEs in Enugu metropolis; examine the extent to which the adoption of mobile banking as a means of payment enhances sales volume of SMES in Enugu metropolis; and ascertain the extent to which the use of e-cash wallet enhances sales volume of SMEs in Enugu metropolis. Three null hypotheses which align with the research objectives were formulated to guide the study. The descriptive survey research design was adopted with a questionnaire as a data collection instrument. The survey involved 100 respondents who are staff of selected SMEs operating within Enugu metropolis. Results of the data analysis show that the use of Point of Sale systems has positively increased the sales volume of small and medium businesses in Enugu metropolis; the adoption of mobile banking as a means of payment has positively enhanced the sales volume of SMEs in Enugu metropolis; and the use of e-cash wallet has positively enhanced sales volume of SMEs in Enugu metropolis.
Advanced Techniques of Malware Evasion and Bypass in the Age of Antivirus
Authors: Kausar Parveen
Published: October 2024

The use of antivirus software as the main line of protection against growing cyber threats highlights the necessity of comprehending and resolving its limits. This study provides light on the ease of use and accessibility of tools used by hackers by carefully examining the complex terrain of malware evasion and bypass tactics. The persistent evolution of malware evasion and bypass techniques presents a significant cybersecurity challenge. The main objective is to educate users about the ever-changing hazards and provide them with the knowledge they need to properly strengthen their digital defenses. The literature analysis highlights the necessity for continued attention by establishing a strong correlation between the effectiveness of evasion strategies and their age and popularity. While modern antivirus software shows strong resistance against a range of tried-and-true techniques when updated on a regular basis, the study reveals a crucial component in its testing. This entails applying simple yet effective tweaks to well-known evasion techniques, demonstrating their capacity to fool even the most recent antivirus software. A thorough examination of malware evasion tactics, including both on-desk and in-memory approaches, is given in the methods section. Packing, obfuscators, protectors, reflective DLL injection, remote process memory injection, process hollowing, and inline hooking are all covered in detail in this paper. Subsequently, the study delves deeper into distinct evasion strategies, such defensive evasion through direct system calls and sophisticated evasion tactics, showcasing malware developers' versatility in evading antivirus and endpoint detection and response (EDR) systems.
ELABORAÇÃO DE UM PROJETO DE SEGURANÇA CONTRA INCÊNDIO E PÂNICO PARA UMA INDÚSTRIA METALÚRGICA SITUADA NA CIDADE DE MANAUS/AM
Authors: Marques Danielle Carvalho de Oliveira , Gonçalves Paula Glysia Gomes dos Santos , Pinheiro Érika Cristina Nogueira Marques
Published: October 2024

A prevenção de incêndios em ambientes industriais é um tema de alta relevância, especialmente em setores como a metalurgia, onde o manuseio com altas temperaturas ​​estão presentes. Este estudo teve como objetivo principal a elaboração de um Projeto de Segurança Contra Incêndio (PSCIP) para uma empresa metalúrgica do Estado do Amazonas, em conformidade com as legislações vigentes. O PSCIP representa um compromisso com a proteção de vidas e patrimônio, exigindo a colaboração de todos os envolvidos. Para a construção deste artigo as medidas de segurança exigidas ficaram em conformidade com  o enquadramento no Decreto Estadual nº 24.054/2004 do Estado do Amazonas para edificações com um pavimento, baixo risco de incêndio e grupo I. Foram utilizadas as instruções técnicas como referência normativa na elaboração do projeto. As plantas requisitadas pelo Corpo de Bombeiros Militar do Estado do Amazonas (CBMAM) foram desenvolvidas de acordo com os as condições estabelecidas nas instruções técnicas, elaborou-se um projeto com extintores, sistema de alarme, sinalização de emergência, brigada de incêndio, iluminação de emergência, saídas de emergência, acesso  a viaturas e algumas isenções de medidas devido a constatação da carga de incêndio de 40 MJ/ m2, edificação é classificada como risco baixo.
AI Virtual Assistants in Human Services: Empowering Customers and Caseworkers
Authors:   Austin, Texas, Rikhi Deepika
Published: October 2024

Abstract—This paper explores the transformative role of AI virtual assistants (VAs) in human services, highlighting their potential to enhance communication, streamline processes, and improve customers’ and caseworkers' overall experience. By examining technology applications and challenges, the aim is to comprehensively understand how VAs can empower the human services industry. Keywords—AI Virtual assistant, Natural language Processing, Machine learning, Caseworker assistant, Customer assistant
Assessment of Environmental quality and Environmental Damage due to oil spill accident at Oil India, Tinsukia, Assam and Scope for Environmental Compensation
Authors:   Senior Research Fellow, Industrial Pollution Control-1 Division, Central Pollution Control Board, Delhi, Pandey Uma , Balodhi Mukesh ,   Scientist “E”, Industrial Pollution Control-1 Division, Central Pollution Control Board, Delhi
Published: October 2024

This paper addresses an Oil blowout accident occurred in Oil India Baghjan site at Tinsukia, Assam. An assessment of environmental quality deterioration in terms of air, water and soil quality has been carried out on the basis of available baseline environmental data. Impact on ecosystem and environmental damage resulting from this oil blowout has been discussed. This oil blow out site is in proximity to wetland “Maguri Motapung Beel” which was the most impacted ecosystem, the next nearest biodiversity hotspot is the Dibru-Saikhowa National Park and Biosphere Reserve and the Bherjan-Borajan-Podumoni Wildlife Sanctuary. Habitat Destruction in terms of damage to plant and animal life has been assessed from the environmental data. As a number of such blowouts have been reported during the history of oil drilling activities, it is the responsibility of oil industry to understand the risks of accidents and taking appropriate measures to prevent accidents and minimize their impacts. Provisions of environmental compensation and restoration of environmental damage has also been discussed in purview of existing government policies and legal remedies available. This paper also highlights the need for strengthening of existing environmental laws for adequately compensating environmental damages and restoration on the basis of polluter's pay principle. Key Words: Baghjan Oil blowout, Tinsukia, Assam, Legal Remedies, Environmental Damage, Compensation.
"Our Cry as Women Leaders": Crisis Response Intervention, Customary Governance, and the Masculinization of Peace in Solomon Islands
Authors: George Nicole
Published: October 2024

This discussion examines how and why the peacebuilding environment in Solomon Islands presents profound constraints for women despite the promises of global, regional, and national policy stipulating the importance of this activity. The analysis draws on theories of scale to explain
how gendered geometries of power are configured in the Solomon Islands peacebuilding environment. These power geometries are shaped by interplaying local and global factors and have limited the space that is open to women peacebuilders. A "crisis response" orientation to Australian-led conflict
stabilization missions has been coupled with a national bureaucratic tendency to equate "customary governance" with peacebuilding. Both trends have augmented masculine power and constrained the space for women to engage in conflict mediation. As I show, these developments contradict United
Nations Women Peace and Security principles, set out in United Nations Security Council Resolution 1325 and localized in National Action Plans developed in Australia and in Solomon Islands. These expressly stipulate the importance of supporting women's contributions to peacebuilding when conflict
flares. The article's analysis makes clear how women continue to push against these constraints, but against overwhelming pressures. It concludes with the claim that conflict mediation processes can only be made more durable in Solomon Islands if the discriminatory gendered geometries of power
identified are confronted and greater emphasis is placed on women's customary authority and capacities as peacebuilders.
SWOT analysis of the possibilities of introducing AI technologies into Armenia's military sector
Authors: Danielyan Gyulnara , Harutyunyan Gayane
Published: October 2024

The advent of artificial intelligence (AI) in defense systems has significantly altered the scale, scope, and complexity of military operations. This transformation presents both a profound challenge and a unique opportunity for the technological advancement of states, particularly those engaged in regional conflicts, as is the case with Armenia. Integrating AI in defense enhances military capabilities, enabling faster decision-making, predictive analytics, automated systems, and improved operational efficiency.  In the context of Armenia, a nation situated in a geopolitically sensitive region, the implementation of AI in defense not only holds the potential to reshape its military posture but also to redefine its technological development trajectory. Armenia’s ongoing security concerns and regional tensions make the adoption of AI in defense of strategic importance. The main question considered within the topic is Armenia’s potential to integrate AI-based technologies in defense. The findings (based on SWOT analysis) suggest that Armenia has the potential to evolve its defense capabilities through AI (as the example of another post-soviet country Estonia shows) if targeted steps (administrative effort) are taken to mitigate identified risks and weaknesses, while concurrently capitalizing on its inherent strengths and external opportunities.
Examining the application of artificial intelligence in computers
Authors: Alsaati Areej Abdulkareem Abdulraheem
Published: October 2024

Artificial intelligence was presented for the first time in 1956 by John McCarthy -an American scientist in the field of computer systems- at the Dartmouth conference. The issue of intelligence as a basic feature that causes individual differences between people has been noticed for a long time. The field of attention to the intelligence factor can be observed in different sciences. Artificial intelligence is a branch of computer science that is used to improve the performance of computer devices and the interaction between devices and humans. Artificial intelligence will change the way networks are managed and this is the change we need. Artificial intelligence makes network operations simpler, smarter, safer and faster. In other words, it can be said that AI helps us to manage our networks with the speed of a machine. The results of the tests showed that a person's verbal skill is his best mental ability. It is interesting that later verbal skill was recognized as one of the main factors of mental ability, and even today, the content of most intelligence tests is verbal material.
Taktik Atletlerde El Kavrama Kuvvetinin Ateşli Tabanca Atış Performansına Etkisi
Authors: Dut İsmail , Ateş Osman , Akkoç Orkun
Published: October 2024

Amaç: Bu çalışma, taktik atletlerde el kavrama kuvvetinin ateşli tabanca atış performansına etkisini incelemeyi amaçlamaktadır.
Gereç ve Yöntem: Çalışmaya yaşları ortalaması 33,36 ± 6,47 yıl ve spor yaşları ortalaması 4,00 ± 1,39 yıl olan 30 erkek taktik atlet gönüllü olarak katılmıştır. Katlımıcıların atış öncesinde el kavrama kuvvetleri dinamometre ile ölçülerek kaydedilmiştir. Atış performans ölçümleri ise Uluslararası Savunma Silahları Birliği hedef kağıdına 9,14 metre uzaklıktan ve 1,52 metre yükseklikten ateşli tabanca ile 10 atış şeklinde gerçekleştirilmiştir. Atış performanslarını değerlendirebilmek için CED 7000 NON-RF elektronik atım ölçer cihazı kullanılarak atış süreleri ile birlikte hedef puanları kaydedilmiştir. Veriler normal dağılım gösterdiğinden el kavrama kuvveti ve atış performansı arasındaki ilişki Pearson korelasyon analizi testi ile değerlendirilmiş, anlamlılık düzeti p0.05).
Sonuçlar: Yapılan bu çalışmada, baskın el kavrama kuvvetinin ateşli tabanca atış performansına önemli bir etkisi olduğunu göstermektedir. El kavrama kuvveti arttıkça; atış süresi kısalmakta ve bu da seri atış performansında iyileşmeye yol açmaktadır. Elde edilen bulgular, taktik atletler ve benzeri meslek gruplarında görev yapan bireylerin görev başarısı açısından el kavrama kuvveti antrenmanlarının önemine işaret etmektedir.
Spor Bilimleri Fakültesi Öğrencilerinde Rekreasyonel Spor İyi Oluş ve Yaşam Kalitesi Arasındaki İlişki
Authors: Kırtepe Abdurrahman , Çetinkaya Turan
Published: October 2024

Amaç: Bu araştırmanın temel amacı spor bilimleri fakültesi öğrencilerinin rekreasyonel spor iyi oluş ve yaşam kalitesi arasındaki ilişkiyi incelemektir.
Gereç ve Yöntem: Araştırmanın evrenini Fırat Üniversitesi ve Munzur Üniversitesi spor bilimleri fakültesinde eğitim gören öğrenciler oluştururken, örneklemini ise; çalışmaya gönüllü olarak katılan 180 kadın, 232 erkek olmak üzere toplam 412 öğrenci oluşturmuştur. Elde edilen verilerin analizi Lisanslı SPSS 24 paket programı kullanılarak gerçekleştirilmiştir. İki gruplu değişkenler için independent sample t testi, ikiden fazla gruplu değişkenler için one way anova testi kullanılmıştır. One way anova testi neticesinde gruplar arasındaki farkın hangi gruplar arasında olduğunu belirlemek için tukey testinden yararlanılmıştır. Ölçekler arasındaki ilişkiyi belirlemek için pearson korelasyon analizi yapılmıştır. Ölçekler arasındaki etkiyi belirlemek için linear regresyon analizi kullanılmıştır.
Bulgular: Cinsiyet ve medeni durumun spor bilimleri fakültesi öğrencilerinin rekreasyonel spor iyi oluş ve yaşam kalite düzeyleri üzerinde etkisinin olmadığı, yaş ve gelir durumunun da spor bilimleri fakültesi öğrencilerinin spor iyi oluş düzeyleri üzerinde bir etkisinin olmadığı belirlenmiştir (p>0,05). Yaş ile yaşam kalitesi arasındaki farkın anlamlı olduğu görülmüştür (p
Experimental Study of Parallel-Connected DC-DC Buck-Boost Converters FPGA Chaos Controlled
Authors:   Dubai Women’s College, Natsheh Ammar , Nguyen Thanh Hai ,   Dubai Women’s College, Sreekumar Preetha ,   Dubai Women’s College
Published: October 2024

Chaos control is used to design a controller that is able to eliminate the chaotic behavior of nonlinear dynamic systems that experience such phenomena. This paper discuss the use of the FPGA as a controller of a parallel-connected DC-DC buck-boost converter, the goal of this paper is to build a controller that is capable of controlling the output current of a photovoltaic cells and minimize the effect of the module buck-boost converter chaotic behavior on the output voltage. To achieve this goal this paper presents two different methods, FPGA control the duty cycle and the frequency of the output controlling signal, this technique is done through software (FPGA code), and a delayed feedback control scheme in a module converter in the continuous-current conduction mode (CCM) using MATLAB/SIMULINK simulation. Thus, this paper shows the FPGA capabilities in the power industry and it’s specifies a guideline to overcome some of the obstacles when dealing with an FPGA as a buck-boost converter controller, and MATLAB/SIMULINK simulation results show the effectiveness and robustness of the scheme.
Machine Learning-Based SOC Prediction for Lithium-ion Batteries in Electric Vehicles
Authors:   University of Sharjah, Eid Abdulrahman M. , Bou Nassif Ali ,   University of Sharjah, Ghenai Chaouki ,   University of Sharjah, Youssef Heba Y. ,   University of Sharjah, Alkhaja Latifa A. ,   University of Sharjah, Almazrouei Hajar H. ,   University of Sharjah
Published: October 2024

Developing an effective and accurate battery management system that can predict the state of charge of electric vehicles is essential to enhance the safety and efficiency of electric vehicles. The assessment of the state of charge of the battery is important not only for determining the amount of energy that is available from the battery but also for determining how long the battery will last. This paper provides a brief understanding of how the state of charge estimation was predicted before and after the era of Machine Learning (ML). In addition, it proposes an accurate and fast state of charge estimation for lithium-ion batteries in electric vehicle applications using machine learning. The proposed model is designed to be generalizable across various inputs, applicable to both new and old batteries, and robust under different charging and discharging scenarios. Model performance and accuracy were evaluated using predefined metrics such as Root Mean Square Error and Mean Absolute Error. Among the four machine learning algorithms that achieved an approximate error of 0.75, while Multiple Linear Regression (MLR) model was chosen for its lightness and speed in training and testing. The findings of this research contribute to the advancement of Battery Management System (BMS) design and implementation for enhancing the efficiency and safety of Lithium-Ion Batteries (LIBs) in real-world driving scenarios. In the future, further research might be conducted to study the implementation of a variety of deep learning algorithms, as well as the estimation of battery health and the remaining useful life.
Heart Failure Prediction Using Machine Learning with Metaheuristic Feature Selection Techniques
Authors:   University of Sharjah, Elgendy Omar , Bou Nassif Ali ,   University of Sharjah, Soudan Bassel ,   University of Sharjah
Published: October 2024

Heart failure is a major complication of cardiovascular diseases (CVDs), which are the leading cause of mortality globally. However, early treatment and detection of heart failure may increase the chance of survival. Using current clinical data, machine learning (ML) algorithms present an effective approach for predicting heart failure. Utilizing ML algorithms and feature selection using metaheuristic methods, we present a novel framework in this research for the prediction of heart failure. We employ several ML algorithms and perform feature selection using four meta-heuristic techniques: Grey Wolf Optimization (GWO), Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Ant Colony Optimization (ACO). The performance of each combination is evaluated and compared based on the F-score metric, which we aim to maximize. (PSO) has achieved the highest when choosing the relevant features which increased the overall accuracy from 0.83 to 0.90. The results indicate that our proposed framework can effectively identify relevant features and improve the predictive performance of ML algorithms for heart failure. Furthermore, we provide a comprehensive comparison of the meta-heuristic techniques, highlighting their advantages and limitations for feature selection in heart failure prediction.