bluuebunny/crossref_metadata_2025 huggingface dataset:
Hubungan Pengetahuan dengan Kepatuhan Pencegahan Komplikasi pada Penderita Hipertensi
Authors: Assyfa Nurul , Hoedaya Ahmad Purnama , Inriyana Ria
Published: July 2024

Peningkatan jumlah kematian dan meningkatnya risiko komplikasi menandakan pentingnya pengelolaan dan pengendalian hipertensi. Pengetahuan dan kepatuhan tentang hipertensi adalah inti dalam mengontrol tekanan darah dan komplikasinya. Kepatuhan pasien dalam mengelola hipertensi diperlukan untuk mencegah komplikasi yang berakibat fatal. Namun, kurangnya pengetahuan tentang pencegahan dapat memengaruhi tingkat kepatuhan. Penelitian ini bertujuan untuk mengetahui hubungan antara tingkat pengetahuan tentang hipertensi dan tingkat kepatuhan pencegahan komplikasi pada penderita hipertensi di Desa Cimanggung. Jenis penelitian ini adalah penelitian kuantitatif observasional analitik dengan pendekatan cross sectional pada 95 responden di Desa Cimanggung. Teknik pengambilan sampel menggunakan metode proportional random sampling. Instrumen penelitian adalah kuisioner hypertension knowledge level scale dan kuisioner kepatuhan pencegahan komplikasi hipertensi. Hasil uji statistik Spearman-Rank diperoleh nilai p = 0,023 (p<0,05), sehingga diinterpretasikan bahwa ada hubungan pengetahuan dengan kepatuhan pencegahan komplikasi hipertensi. Semakin baik pengetahuan tentang hipertensi maka kepatuhan pencegahan komplikasinya akan semakin baik pula. Mayoritas responden memiliki pengetahuan baik dan sebagian besar patuh terhadap tindakan pencegahan komplikasi. Meningkatkan pengetahuan diharapkan dapat meningkatkan kepatuhan penderita dalam menjalankan pengobatan dan pencegahan komplikasi. Disarankan melakukan program edukasi yang terarah dan berkelanjutan kepada masyarakat Desa Cimanggung tentang pentingnya pengelolaan hipertensi dan pencegahan komplikasinya.
Hubungan Penerimaan Diri dengan Identitas Diri pada Wanita yang Mengalami Perceraian
Authors: Damaiati Winda Diktriadesta , Nuryani Reni , Lindasari Sri Wulan
Published: July 2024

Perceraian merupakan peristiwa hidup yang memicu perubahan psikologis pada penerimaan diri seseorang yang mengalaminya, terutama pada wanita. Dampak buruk tersebut dapat mempengaruhi dalam segala aspek kehidupan dan dapat mengganggu identitas dirinya. Tujuan penelitian ini untuk mengetahui hubungan penerimaan diri dengan identitas diri pada wanita yang mengalami perceraian. Jenis penelitian ini adalah penelitian kuantitatif dengan pendekatan cross sectional menggunakan desain korelasional. Pengambilan sampel menggunakan teknik total sampling berjumlah 55 responden. Pengumpulan data menggunakan lembar kuisioner Self-Acceptance Scale dan kuisioner identitas diri. Metode analisis data yang digunakan adalah uji statistik korelasi spearman’s rho dengan menggunakan software JASP. Hasil penelitian diperoleh data nilai r = 0,728 dengan p-value = 0,001, karena nilai signifikan 0,001 < 0,05 maka menunjukkan bahwa terdapat hubungan signifikan dengan arah positif antara penerimaan diri dengan identitas diri. Oleh karena itu, pentingnya memberikan dukungan psikologis dan sosial yang ditunjukkan untuk meningkatkan penerimaan diri dapat berdampak positif pada pembentukan kembali identitas diri wanita yang mengalami perceraian.
Incorporating Computational Thinking into Education: From Teacher Training to Student Mastery
Authors: Nuzzaci Antonella
Published: July 2024

The concept of computational thinking originated in the 1950s and 1960s as “algorithmic thinking” (Denning, 2009), which involves using a systematic and precise sequence of steps to solve problems, potentially using computers to automate the process. Today, 'computational thinking' is defined as is a solving problem process that involves formulating problems and solutions in a way that can be represented and solved through a series of computational steps, designing systems and understanding human behaviour, based on fundamental computer concepts. It includes processes such as abstraction and decomposition when dealing with complex tasks or designing extended systems (Wing, 2006). From an educational point of view, the challenge is to identify the cognitive skills that are expected of a person with this type of thinking and their ability to apply them in practice. Computational thinking encompasses a set of thought processes that originate from computer science, but are applicable in various fields. However, it is often wrongly perceived as “technological thinking”, which implies a mindset aimed exclusively at the effective use of technologies. The contribution points out that the lack of a clear definition hinders the integration of this concept into teacher training and broader educational contexts. If understood correctly, computational thinking could significantly improve understanding of the procedural aspects of knowledge, which are very useful for teaching. In this sense, the contribution also describes an exploratory research on the opinions of primary school teachers in central Italy aimed at understanding the perceived benefits that the incorporation of computational thinking could bring in a teaching context.
Exploring Ethnobotanical Knowledge: Qualitative Insights into the Therapeutic Potential of Medicinal Plants
Authors: Dean Muhajirin
Published: July 2024

The study's primary aim is to systematically document and analyze the ethnobotanical knowledge of indigenous communities, emphasizing integrating this knowledge into modern medical practices and conservation efforts. The research methodology encompasses a qualitative approach, utilizing in-depth interviews, participant observations, and the collection of personal narratives from various Indigenous groups. These methods facilitate a comprehensive understanding of medicinal plants' traditional uses and cultural values, ensuring a respectful and accurate representation of indigenous knowledge. Findings reveal that medicinal plants are crucial for health and deeply ingrained in communities' social and spiritual fabric. The study highlights the importance of sustainable practices and the risks of cultural erosion and biodiversity loss due to modernization and environmental degradation. Key insights point towards the potential of integrating traditional medicinal knowledge with contemporary healthcare systems, which could foster innovative therapeutic practices and enhance global health sustainability. The research underscores the urgent need for conservation strategies that involve local communities and respect their intellectual property and cultural heritage. The results advocate for policy development that supports the inclusion of traditional remedies in national health systems, thus preserving invaluable knowledge and promoting a more holistic approach to health.
SCRITTURE FENICIE ALLO SCORCIO DEL II MILLENNIO A.C.
Authors: Campus Alessandro
Published: July 2024

This contribution addresses the problem of the birth and diffusion of “alphabetic”writing in the Levant area, showing the coexistence of different writing systems, until Phoenician writing replaced the others
PRODUZIONE E CONSUMO SOCIALE DEL VINO IN OCCIDENTE: L’APPORTO DEI FENICI
Authors: Botto Massimo
Published: July 2024

The aim of the contribution is to verify the role played by the Phoenicians in the spread of the cultivation of the vine and the production and social consumption of wine in the central-western basin of the Mediterranean and on the Atlantic coasts of the Iberian Peninsula since the beginning of the first millennium BC. Starting from the most significant archaeological contexts and with the help of archaeometric analysis, the fundamental stages that led the Phoenicians to make this precious food known in the West will be reconstructed. The focus will be on Sardinia –the nodal area of the commercial traffic of the Tyrian ships with the Tyrrhenian coasts of the Italian Peninsula –and on Southern Iberia, starting from the early relations entertained by the Phoenicians with the indigenous elites of the Huelva region
FOOD PLANTS IN THE PHOENICIAN-PUNIC WORLD AND AT MOTYA
Authors: Moricca Claudia
Published: July 2024

Archaeobotany allows to reconstruct Phoenicians’ plant use and the impact they had on the surrounding environment. A case study is represented by the site of Motya, where information was obtained concerning edible plants, cultivation, and crop processing
TRENDS OF INNOVATION IN THE LEVANTINE STORAGE JARS AND PITHOI(13TH-11THCENTURIES BC)
Authors: Pedrazzi Tatiana
Published: July 2024

This paper offersa brief discussion ofthe main trends of innovation in the typology and function of storage jars (amphorae) and pithoi, during the Late BronzeII-Iron Itransition (13th-11thcenturies BC), providing further insight into trade networks, cultural exchange, food storage strategies, and lastly into how Levantine societies responded to the crisis of the Late Bronze Age
LE ANFORE FENICIO-PUNICHE DI MOZIA: LA PRODUZIONE ANFORICA MOZIESE DI VI E V SECOLO A.C.
Authors: Zielli Fabiola
Published: July 2024

The study of the Phoenician-Punic amphora production of the so-called golden ages of Motya (6th-5thcenturies BC) allows not only a typological study, but also the investigation of the flourishing social and commercial growth of Motya and its foreign relations
LEVANTINE IMPORTS AT MOTYA
Authors: Cappella Federico
Published: July 2024

First contacts between Levantine sailors and the native peoples of Sicilydo not begin with the arrival of the Phoenicians on the island. Although there is more evidence during the Iron Age, new archaeological data from Motya outline a different and more complex scenario :Levantine seamen, in fact, have sailed to the central Mediterranean since at least the 2ndmillennium BC. Some Levantine imported ceramic finds from Motya dated between the 17thand the 7thcenturyBCare presented in the following pages
DUE SCODELLENURAGICHE DELL’ETÀ DEL BRONZO RECENTE DA MOZIA
Authors: Cappella Federico
Published: July 2024

The paper concerns twoNuragic handmade and burnished bowls of dark grey fabric discovered at Motyaand dated to the Sicilian Recent Bronze Age (Motya IIIB, 1250-1100 BC).These findings have to be possibly placed in the context of a well establishing trade between Sardinia, Sicily and Cyprus during the late Bronze Age and they would seem to be evidence of cultural interconnections between these islands
EARLY PHOENICIAN RED SLIP WARE AT MOTYA: FROM LEVANTINE PROTOTYPES TO WESTERN STYLES
Authors: Cappella Federico
Published: July 2024

Red Slip (RSW) is a specializedware exported by Phoenician seafarers from the Levant through out the Mediterranean during the first half of the 1stmillennium BC. RSW characterizes the ceramic repertoire of the earliest phases of the Phoenician settlements of Central and Western Mediterranean during the late9th-6thcenturies BC .During this timespan, the RSW repertoire underwent some important transformations that we can consider to be the outcome of the new Western Phoenician culture
URBAN LAYOUT IN MIDDLE AND LATEBRONZE AGELEVANT
Authors: Liberati Cristiana
Published: July 2024

The 2nd millennium BC is a multifaceted period which, from the beginning oftheurban system in the Middle Bronze Age II to its end inthe Late Bronze Age,is subject to numerous political, economic and cultural changes. These changes also affect the settlements leading tothe emergence of differenturban models: uniform and shared in the Middle Bronze Age III, heterogeneous and individualin the Late Bronze Age II
PRIME IMPORTAZIONI GRECHE A MOZIA:LA CERAMICA EUBOICA E TARDO GEOMETRICA
Authors: Melis Ilenia
Published: July 2024

Early Greek imports at Motya are represented from Euboean and late Geometric pottery. The analysis of some sherds of these productions gives the opportunity to reflect another time both on the relationship between Phoenicians and Greeks during the first decades of life of the island, and on the commercial role played by Motya in Mediterranean Sea routes during the second half of the 8thcentury BC
TERRITORY, LANDSCAPE AND URBAN LAYOUT IN THE IBERIAN CULTURE
Authors: Ruiz Rodríguez Arturo , Molinos Molinos Manuel , Rueda Galán Carmen
Published: July 2024

n this article we propose a panoramic review of the urban phenomena and designs in the Iberian culture (7th-1stcenturies BC). Based on case studies linked to different territories in the extensive Iberian area, we look at these processes from different scales of approach. We begin with the complex and heterogeneous definition of town models to arrive at an analysis of the territories and ways in which the oppida expanded, by analysing and categorising the settlement and territorial organisation patterns. In particular, we propose an update of the settlement model typology, taking into account the nucleation and spatial structure variables, as well as the presence and/or absence of defined settlement rankings
PROTECTING URBAN SPACE: APPEARANCE AND EVOLUTION OF DEFENCE SYSTEMSIN THE SOUTHERN LEVANT AT THE EVEOF THE ASSYRIAN CONQUEST
Authors: Tamburrini Maria
Published: July 2024

Since ancient times protection and defenceof private spaces has been a fundamental human need. With the emergenceand development of organized and increasinglycomplex communities, this need tookshape inthe construction of powerful defensive systems that demarcatedthe urban space and evolved with it. Throughout a selection of sites -illustrative of differentdefensive typologies -this paper examinesthe development and spreadof fortified settlements in the Southern Levant,tracingthe most significantchanges -as well as the adoption of new construction models and techniques -thatoccurred from the end of the Late Bronze Age up to the advent of the Neo-Assyrian Empire. In such a historical setting, largely determinedby the codes war and conquest, it is possible that the employed construction criteriawere formulated in response to warfare and specific siege tactics. For these reasons,in additionwith the analysis of defensive patterns, the role of Assyrian warfareas an impetus for the use of new techniques is also addressed.
CONTINUITY AND DISCONTINUITY IN THE DEVELOPMENT OF NORTHERN LEVANTINE AND CYPRIOTE FORTIFICATIONSDURING THE 2nd MILLENNIUM BC
Authors: Berti Bianca Eugenia , Tamburrini Maria
Published: July 2024

n the context of the evolution of defensive systems, the centuries between the end of the 17thand the beginning of the 11thcentury BC represent a significant moment for the Levantine and Cypriot areas, as they connect two emblematic periods of urban development. The synchronic and diachronic analysis carried out on the basis of the defensive typologies recognized in these two areas made it possible not only to investigate the evolution of individual sites and the different cultural traditions they belong to, but also the reasons behind the continuity or discontinuity in the use of these systems over the centuries.
TRASFORMAZIONI URBANE A CIPROTRA LA TARDA ETÀ DEL BRONZO E L’ETÀ DEL FERRO
Authors: Bitti Ilaria
Published: July 2024

Between 15th-8thcentury BCradical transformations and innovations concerned Cyprus, as shown the distinct phases of urbanization of the island. This paper analysesthe main social and political changes reflected in the urban layout of Cypriot settlements.
URBAN DEVELOPMENT IN BRONZE AGE AND IRON AGE MALTA
Authors: Bonanno Giuliana
Published: July 2024

From the Bronze Age, the Maltese archipelago followed a particular and unique urban development throughout its history. Here is the attempt to underline this particularity, througha deepening into the settlement topography and land-use strategies of some of the most important Late Bronze and Iron Age’s sites of Malta and Gozo, also by tracing the changes occurred after the arriving of Levantine newcomers in the 8th century BC. This paperwill focus on the specific urban strategies adopted by some of the most representative sites of the Bronze and Iron Age. It follows a brief outlineaboutthelocation of the necropolis,intended asan essential marker to discover the presence of the Phoenician settlements. Altogether, these data shed a lighton the comprehension of the Maltese ancient urban landscape, which appears as an interdependent system that involved, in the Late Bronze Age, a strong connection between many inland villages, their fertile lands and few landing bays. This system became more complex during the Iron Age, with the appearanceof big urban centers exploitingthe rural landscape and connected to important trading harbors
FLORA ANTIQUA: PLANTS AND PALEO-ENVIRONMENT IN CENTRAL MEDITERRANEAN COLONIES
Authors: Moricca Claudia , Sadori Laura
Published: July 2024

This study represents a review of archaeobotanical data available on Central Mediterranean sites between 1600 BC and the 5thcentury AD. Plant fossils allow us to analyze past vegetation, paleodiets and human-driven changes on the environment, such as the introduction of new plants
LA CULTURA DELL’OLIO D’OLIVA NEL MEDITERRANEOORIENTALETRA IL II E IL I MILLENNIO A.C.
Authors: Sabatini Sharon
Published: July 2024

The cultivation of the olive tree and the production of olive oil are at the center of the cultural background and of the technological and productive development of the Mediterranean civilizations sincethe 4thmillennium BC, when the first cultivation and pressing systems were developed in southern Levant. Analyzing various case studies, it is possible to identify some fundamental stages in the development of an actualculture of olive oil which,during the 2ndmillenniumBC,spreadsfrom the Levant to the Aegean and Egypt, with the acquisition of agricultural skills and reworking of technological models.
Distribution of trace metals in oven-dried, roadside broiler meats and related health implications on the consumers
Authors: Godwin Asukwo Ebong  , Idongesit Bassey Anweting  , Aniefiokmkpong Okokon Okon
Published: July 2024

Poultry-related foods are used mainly as one of the major sources of protein for human however; foods contaminated with toxic metals could have adverse health problems on the consumers. Trace metals loads in water, feeds, oven-dried, and roadside broiler meats from poultry farms in Uyo Metropolis were examined using atomic absorption spectrophotometer. The mean concentrations of chromium (Cr), copper (Cu), lead (Pb), and zinc (Zn) were within their safe limits however; the mean concentrations of cadmium (Cd) and iron (Fe) were higher than their limits. Mean concentrations of all the metals were within their recommended limits except Cr. The concentrations of Cu and Pb were higher than their acceptable limits in oven-dried meats, while Cr, Cu, and Pb in roadside meats were above their limits. The tolerable daily intake rates (TDI) of Cd and Cr for the children class via the consumption of oven-dried meats were above their oral reference doses (RfDs). Whereas, the TDI of Cd and Cr via the consumption of roadside broiler meats were higher than their RfD values. The non-carcinogenic risks of the metals for children and adult classes through the consumption oven-dried and roadside broiler meats were higher than one. However, the children class was more vulnerable to the non-carcinogenic risks. The values of total cancer risk (TCR) for the oven-dried and roadside meats for the children and adults were higher than their acceptable limits. The principal component factor analysis (PCA) identified the sources of trace metals in poultry-related products and foods examined.
Antihypertensive medication adherence among hypertensive patients in a tertiary health facility in South East Nigeri
Authors: Collette Owhuo Elechi  , Francis Osemhoahu Erah
Published: July 2024

Objectivies: To assess antihypertensive medication adherence among hypertensive patients in a tertiary health facility in South East Nigeria Methods: A descriptive cross-sectional study was utilized for this study. A total of 392 respondents were recruited for the study using systematic sampling technique. The study instrument was interviewer administered structured questionnaire. Data were collated and entered into SPSS spread sheet version 23.0. Results presented in Table and test of association computed for knowledge and sociodemographic variable as well as adherence and sociodemographic variable. Morisky medication adherence scale was used to classify respondents into low, medium and high adherence. Results: About thirty three per cent (33.7% ) of respondents were of the age group 41-50 years while only 7.1% were of the age group 70 years and above. Sixty point seven percent (60.7%) of the respondents were males. Most respondents had monthly income of less than #40,000 while few representing 2.7% earn above #100,000 monthly. Fifty-nine point four percent (59.4%) of respondents were aware of the drug they take for hypertension. 87% of the respondents had good knowledge of antihypertensive drug. 81.1% of respondents had low adherence, 18.9% had medium adherence while none of the respondent had high adherence. The proportion of respondents with medium medication adherence tends to decrease with increasing age while the proportion of low medication adherence increased with increasing age group but this association was not statistically significant. Conclusion: Majority of the respondents representing 87% had good knowledge of antihypertensive drugs but this did not translate to practice as majority 81.1% of them had low adherence to antihypertensive medication with low adherence increasing as age group of respondents increased. The factors identified to be associated with medication adherence were socio-demographic factors like age, occupation and cost of drugs.
Obstructed hemivagina and ipsilateral renal anomaly (OHVIRA) syndrome: A case report
Authors: Murray Keturah
Published: July 2024

Obstructed hemivagina and ipsilateral renal anomaly (OHVIRA) syndrome is a rare congenital abnormality marked by a triad of uterine didelphys, obstructed hemivagina, and ipsilateral renal anomaly. The condition is asymptomatic in the pre-pubertal females. Commonly it is diagnosed in young females, within a year of menarche, who present with cyclical pelvic pain with or without a mass. Rarely, these patients are identified later in life, many years after initiation of menses, and a high clinical index of suspicion must be kept. Presented here is a case of OHVIRA syndrome diagnosed in a 22-year-old nulliparous female who presented to the Accident and Emergency Department (AED) of the Queen Elizabeth Hospital, Barbados, with a two-month history of abdominal pain. A laparotomy with right ovarian cystectomy and vaginal incision and drainage of left hematocolpos with marsupialization was performed and the patient was discharged with no complications.
Caste, Identity, and Empowerment in 'Annihilation of Caste' by Dr. B.R. Ambedkar: A Critical Analysis
Authors: Kumar Amit
Published: July 2024

The study paper examines Dr. B.R. Ambedkar's landmark book, Annihilation of Caste, which was written when he was a well-known Dalit leader and social reformer in India. The tremendous influence of the book on Indian society's discourse on caste, identity, and empowerment is examined in this critical examination. The essay explores Ambedkar's efforts to undermine the rigid caste system, question accepted ideas of who he is, and fight for the rights of the Dalit population, which has been historically marginalized. It examines the text's intellectual foundations, historical background, and modern applicability while underlining how important it was in influencing India's socio-political scene. The significance of Dr. B.R. Ambedkar's "Annihilation of Caste" in redefining the conversation about caste, identity, and empowerment in India is thus critically examined in the study article. The article attempts to offer a thorough grasp of the text's influence on the social fabric of the country by diving into the historical setting, Ambedkar's life, and the contemporary relevance of the book. While promoting the empowerment of marginalized populations, especially the Dalits, in the quest for social Caste justice and equality, it also analyses the difficulties and opportunities associated with creating a casteless society.
An Exploration of Loneliness among Smartphone Addict Adolescent Students: A Mixed Method Approach
Authors: Dar Sheeraz Ahmad , Tabinda Tabinda , Puju Dr. Javeed Ahmad
Published: July 2024

The present study examined the loneliness among smartphone addict adolescent students based on gender and subject stream. For the research study, a mixed-method research design was adopted. A multistage sampling technique was used to choose the sample. A sample of 450 smartphone addict adolescent students was randomly selected from different government higher secondary schools of Kashmir Valley. For the collection of data, the Loneliness Scale by Hamid and Parvez (2020), the Smartphone Addiction Scale by Vijayshri and Ansari (2020), and semi-structured interviews were used. Statistical techniques like percentage, t-test, and ANOVA were used to draw inferences. The results reveal that the majority of smartphone addict students have a moderate to high level of loneliness. The result based on t-test shows no significant difference between male and female smartphone addict adolescent students on loneliness. The results of ANOVA reveal no significant difference among arts, science, and commerce smartphone addict adolescent students on loneliness. Furthermore, it was found that factors like lack of social interaction, poor communication skills, lack of meaningful relationships, poor self-esteem, and unhealthy habits lead to loneliness among students due to smartphone addiction.
Analysis Analysis of E-commerce in banking sectors (with Special reference to SBI)
Authors: Soni Dr Amrita , Sharma Prof. Aarti , Sharma Prof. Vinay , Soni Prof. Nobina
Published: July 2024

Banking sector is one of the most important financial sectors of any economy. Banking structure of every nation is different. Banking sector’s contribution in Indian economy is huge. Banks are one of the oldest financial mediators which has been serving nation since decades. Banks play a role of accepting deposits from customers. Customers deposit their money in banks as a form of savings. Banks provides interest rate to customers on their savings. Banks provides various types of loans to their customers. Banks provides loans to various sectors of the economy. Apart from the traditional concept of depositing savings and granting loans, banks have expanded their horizons in various activities and fields like merchant banking, FOREX transactions, leasing, investment options like mutual funds, venture capital and housing finance. Banks facilitate internal as well as external or international trade in an economy. Banks maintain the flow of economy by providing funds to individuals, businesses and as well as government.
English Language Instructors’ Beliefs about Implementing Reflective Teaching Strategy in EFL Instructions: A Mixed Method Research
Authors: Tora Temesgen , Nehru Joseph , Tiruneh Dagne
Published: July 2024

This study looked at the beliefs of English language instructors regarding the implementation of a reflective teaching strategy in EFL instruction with a focus on Wachemo University. The research design employed was a descriptive survey, which served as an explanation of the current trends in the study area. The study, which is primarily quantitative, used a mixed-methods approach and triangulated using qualitative data. For collecting questionnaire data, 33 study participants were chosen using the comprehensive sampling technique. Five Wachemo University instructors were purposefully selected to participate in semi-structured interviews. With SPPS version 20, descriptive statistics were used to conduct a quantitative analysis of the data collected through the questionnaire. Besides, thematic analysis was also performed on semi-structured interview data. The results of the study showed that while most university-level EFL instructors have positive beliefs about implementing a reflective teaching strategy in EFL instruction for the betterment of teaching skills, they perform practically poor due to various difficulties they run into when putting it into practice in EFL classrooms. Lastly, recommendations were forwarded in light of the scholarly debates and the study's findings. There is an avenue for future researchers to include several studies with a significant number of participants, and additional tools of data gathering to provide more information about the roles of EFL instructors’ beliefs about implementing a reflective teaching strategy in improving their actual classroom practices to ELT skills of EFL teachers at university level.
The Relationship Between Transformational Leadership And Teacher Job Satisfaction: Empirical Evidence From China
Authors: Lei Gao , Hanim A Hamid Dr. Aida , Norhaini Mansor Assoc. Dr. Azlin
Published: July 2024

Currently, there are few studies on the relationship between transformational leadership and teacher job satisfaction in the field of education in China. This study aims to explore this relationship within the context of Chinese Confucian culture. A total of 385 primary school teachers in Zunyi School District participated in a questionnaire survey. This quantitative study utilized the 12-item Multifactor Leadership Questionnaire (MLQ 5X), adapted from Bass and Avolio (1995), and the 5-item Teacher Job Satisfaction (TJS) scale from the International Trends in Mathematics and Science Study (TIMSS) and the Progress in International Reading Literacy Study (PIRLS) assessments. The structural equation model (SEM) indicated a good fit with the data: χ²/df=1.25 (1-3), p<0.001, NFI=0.98 (≥0.90), TLI=0.99 (≥0.90), CFI=0.99 (≥0.90), and RMSEA=0.026 (≤0.08). The results revealed that transformational leadership had a significant positive effect on teachers' job satisfaction (β=0.36, p<0.001). Furthermore, multiple linear regression analysis demonstrated that the dimensions of Intellectual Stimulation (B=0.127, p=0.028) and Individual Consideration (B=0.143, p=0.007) significantly affected teachers' job satisfaction. However, the other two dimensions, Idealized Influence (p=0.696) and Inspirational Motivation (p=0.080), did not show significant effects on teachers' job satisfaction. This study highlights the nuanced impacts of different dimensions of transformational leadership on job satisfaction within a unique cultural context.
THE RELATIONSHIP AMONG RESILIENCE, SOCIAL SUPPORT & SUBJECTIV WELL-BEING AMONG INDIVIDUALS WITH MILD SENSORY IMPAIRMENT
Authors: Abbas Salbia , Sohail Ayesha , Fatima Afifa
Published: July 2024

Sensory impaired individuals often face mental disorders which threatens their psychological wellbeing. This research explored subjective wellbeing, social support and resilience among sensory impaired individuals. Cross-sectional research design along with quantitative research methodology was utilized. Sample of 50 individuals was recruited through convenience sampling technique. Individuals with mild sensory impairment and both genders were enlisted as sample. The participants with severe impairment were excluded. The self-developed standardized scales were utilized for the data collection. Both descriptive and inferential statistics were used for analysis of data. Results revealed that there is positive correlation between subjective wellbeing (R=.712, P=.000) and social support (R=.487, P=.000). While positive correlation was revealed amid resilience (R=.282, P=.000) & social support (R=.485, P=.000). The outcome of linear regression analysis, elucidated by an R-squared value of 0.596. The research findings show a significant influence of social support & resilience on subjective wellbeing of sensory impaired individuals, fostering deeper comprehension on their inter relation.
EVALUATING THE QUALITY OF STUDENT REFLECTIONS IN PEACE EDUCATION CLASSROOM TAUGHT WITH PEDAGOGY OF DISCOMFORT
Authors: Muhammad Yaar , Waqar Yasira , Safdar Samina
Published: July 2024

This study aimed to explore the depth and/or quality level of the students’ responses when they responded critically in their written reflections in a peace education classroom that incorporated a pedagogy of discomfort. In this empirical study, featuring reflections from 43 undergraduate students in Sialkot, Pakistan, the authors seek to understand how reflections-based pedagogical methods that affect critical thinking ability, self-awareness, cultural sensitivity and understanding of society issues. Thus, the study uses qualitative methods to assess students’ critical reflections from provocation pedagogy experience. Overall, students showed greater critical thinking and self-reflection as their perception of distinct identity were questioned. Nevertheless, the level of depth and sophistication in reflections differed across students. However, the study points to how a pedagogy of discomfort can arguably result in meaningful responses for engaging with issues such as those related above. In this regard, some discussion is presented upon the barriers & limitations to implementing these approaches. The findings add to an important dialogue around what works in peace education activities globally.
Hybrid Grey Wolf Optimizer for Efficient Maximum Power Point Tracking to Improve Photovoltaic Efficiency
Authors: Alsharafa Nabeel S. , Shanmugam Selvanayaki Kolandapalayam , Vani Bojja , P Balaji , S Gokulraj , P.V.V.S Srinivas
Published: July 2024

Today, the demand for Renewable Energy (RE) sources has increased a lot; out of all Renewable Energy Sources (RES), Solar Energy (SE) has emerged as a better solution due to its sustainability and abundance. However, energy sources from the sun directly depend on the efficiency of the photovoltaic (PV) systems employed, whose efficiency depends on the variability of solar irradiance and temperature. So harvesting the maximum output from PV panels requires optimized Maximum Power Point Tracking (MPPT) systems. The traditional MPPT systems that involved Perturb and Observe (P&O) and Incremental Conductance (IncCond) are the most widely used models. However, those models have limited efficiency due to rapidly changing environmental conditions and their tendency to oscillate around the Maximum PowerPoint (MPP). This paper proposes a Hybrid Heuristic Model (HHM) called the Hybrid Grey Wolf Optimizer (HGWO) Algorithm, which employs the Genetic Algorithm (GA) model for optimizing the Grey Wolf Optimizer (GWO) algorithm for effectively utilizing MPPT in PV systems. The simulation decreases fluctuation, boosting how the system responds to shifts in the surrounding atmosphere. The framework evolved through several experiments, and its ability to perform was assessed concerning the results of different models for the factors that were considered seriously throughout several solar radiation and temperature scenarios. During all of the tests, the recommended HGWO model scored more effectively than the other models. This succeeded by accurately following the MPP and boosting the power supply.
Using Behavioural Biometrics and Machine Learning in Smart Gadgets for Continuous User Authentication Purposes
Authors: S Deepthi , Balachandra Mamatha , K V Prema , Yau Kok Lim Alvin , A K Abhishek
Published: July 2024

In the ever-evolving realm of technology, the identification of human activities using intelligent devices such as smartwatches, fitness bands, and smartphones has emerged as a crucial area of study. These devices, equipped with inertial sensors, gather a wealth of data and provide insights into users' movements and behaviors. These data not only serve practical purposes, but also hold significant implications for domains such as healthcare and fitness tracking. Traditionally, these devices have been employed to monitor various health metrics such as step counts, calorie expenditure, and real-time blood pressure monitoring. However, recent research has shifted its focus to leveraging the data collected by these sensors for user authentication purposes. This innovative approach involves the utilization of Machine Learning (ML) models to analyze the routine data captured by sensors in smart devices employing ML algorithms, which can recognize and authenticate users based on their unique movement patterns and behaviors. This introduces a paradigm shift from traditional one-time authentication methods to continuous authentication, adding an extra layer of security to protect users against potential threats. Continuous authentication offers several advantages over its conventional counterparts. First, it enhances security by constantly verifying a user's identity through their interaction with the device, thereby mitigating the risk of unauthorized access. Second, it provides a seamless and nonintrusive user experience, eliminating the need for repetitive authentication prompts. Moreover, it offers robust protection against various threats such as identity theft, unauthorized access, and device tampering. The application of continuous authentication extends beyond individual devices and encompasses interconnected systems and networks. This holistic approach ensures a comprehensive security across digital platforms and services. The experiments demonstrate that the logistic regression model achieves an accuracy of 82.32% on the test dataset, highlighting its robustness for binary classification tasks. Additionally, the random forest model outperforms with a 92.18% accuracy, emphasizing its superior capability in handling complex feature interactions. In the study, the sequential neural network achieved an accuracy of 92% on the HAR dataset, outperforming traditional machine learning models by a significant margin. The model also demonstrated robust generalization capabilities with a minimal drop in performance across various cross-validation folds.
An Improved Image Enhancement Technique for Low Light Images Using Deep Learning Approach
Authors: Gopakumar Rajesh , Kotegar Karunakar A
Published: July 2024

Image enhancement in facial detection is a critical component of facial recognition systems. Face identification in an uncontrolled environment is affected by a multitude of difficulties such as poor light levels, low-resolution cameras, occlusions from surrounding objects, and tiny faces in distant photographs. Low signal-to-noise ratio, low brightness, and noise in low-light photographs lead to issues such as color distortion and poor visibility, which makes it challenging to identify faces. Many techniques to enhance low-light images have been developed, improving the face detection system’s accuracy. This will improve the picture at the expense of higher running costs and lower model robustness. The proposed technique, DCE-Net, uses performance-intensive deep learning and light-enhanced image properties. A non-referential deep learning technique was employed to acquire and modify the image attributes. A set of loss functions designed to perform without ground-truth images is the foundation of the deep network learning employed. Compared to the current referential methods, straightforward non-referential light estimation curve mapping minimizes the computational demand for low-light image improvement. Several experiments conducted on standard datasets demonstrated the efficacy and reduced computational requirements of the approach. The effectiveness of this method is supported by both the qualitative and quantitative outcomes. The PSNR and SSIM computation for paired images shows promising results using the proposed image enhancement technique.
Advancements in Real-Time Human Activity Recognition via Innovative Fusion of 3DCNN and ConvLSTM Models
Authors: R Roopa , M Humera Khanam
Published: July 2024

Object detection (OD) is a computer vision procedure for locating objects in digital images. Our study examines the crucial need for robust OD algorithms in human activity recognition, a vital domain spanning human-computer interaction, sports analysis, and surveillance. Nowadays, three-dimensional convolutional neural networks (3DCNNs) are a standard method for recognizing human activity. Utilizing recent advances in Deep Learning (DL), we present a novel framework designed to create a fusion model that enhances conventional methods at integrates three-dimensional convolutional neural networks (3DCNNs) with Convolutional Long-Short-Term Memory (ConvLSTM) layers. Our proposed model focuses on utilizing the spatiotemporal features innately present in video streams. An important aspect often missed in existing OD methods. We assess the efficacy of our proposed architecture employing the UCF-50 dataset, which is well-known for its different range of human activities. In addition to designing a novel deep-learning architecture, we used data augmentation techniques that expand the dataset, improve model robustness, reduce overfitting, extend dataset size, and enhance performance on imbalanced data. The proposed model demonstrated outstanding performance through comprehensive experimentation, achieving an impressive accuracy of 98.11% in classifying human activity. Furthermore, when benchmarked against state-of-the-art methods, our system provides adequate accuracy and class average for 50 activity categories.
Enhancing Network Anomaly Intrusion Detection with IoT Data-Driven BOA-CNN-BiGRU-AAM -Net Classification
Authors: G Suresh , M Sathya , D Arthi , G Arulkumaran
Published: July 2024

Network security is one of the key components of cybersecurity anomaly intrusion detection, which is responsible for identifying unusual behaviours or activities within a network that might indicate possible security breaches or threats. In this suggested intrusion detection system (IDS), network traffic data is continuously monitored via anomaly detection. The study makes utilising one of the most recent datasets to spot unusual behaviour in networks connected to the Internet of Things, the IoTID20 dataset, to facilitate this process. The preprocessing stage involves painstaking steps for smoothing, filtering, and cleaning the data. The Pine Cone Optimisation algorithm (PCOA), a novel optimizer inspired by nature, is introduced in this study for the feature selection process. PCOA seeks to increase the effectiveness of feature selection while drawing inspiration from the various ways that pine trees reproduce, such as pollination and the movement of pine cones by animals and gravity. Moreover, IDS is classified using Bidirectional Gated Recurrent Unit–Additive Attention Mechanism Based on Convolutional Neural Networks (CNN-BiGRU-AAM), which makes use of deep learning's capabilities for efficient classification tasks. In addition, this work presents the Botox Optimisation Algorithm (BOA) for hyperparameter tuning, which is modelled after the way Botox functions in human anatomy. BOA uses a human-based method to adjust the hyperparameters of the model to attain the best accuracy. The results of the experiments show that the suggested methodologies are effective in improving network anomaly intrusion detection systems, with a maximum accuracy of 99.45%.
Combined Feature Set with Logistic Regression Model to Detect Credit Card Frauds in Real Time Applications
Authors: N Prabhakaran , R Nedunchelian
Published: July 2024

Online payment methods are gaining popularity and are widely used, both in-store and online. Because to the Internet and smart mobile devices, conducting such transactions is quick, simple, and stress-free. However, online payment fraud is common due to the open nature of the internet, which allows criminals to use techniques such as eavesdropping, phishing, infiltration, denial-of-service, database theft, and man-in-the-middle assault. Online payment fraud is on the rise, and it is a big contributor to global economic losses. Financial services, healthcare, insurance, and other industries have long been plagued by fraud. Online fraud has developed in tandem with the use of digital payment systems such as credit/debit cards, PhonePe, Gpay, and Paytm. Furthermore, fraudsters and criminals are adept at evasion strategies, allowing them to steal more. Developing a secure system for client authentication and fraud protection is tough since there is always a workaround. This means that fraud detection systems play an important role in preventing financial crimes. Over time, victims of internet transaction fraud have incurred tremendous financial losses. The growth of cutting-edge technologies and global connection has led to a surge in online fraud. To reduce these expenses, it is critical to develop effective fraud detection systems. Machine learning and statistical tools make detecting dishonest money deals much easier. The scarcity of data, the sensitive nature of the data, and the uneven class distributions make it challenging to implement efficient fraud detection models. Given the delicate nature of the information, it is difficult to draw conclusions and construct more accurate models. This study offers a Linked Feature Set with Combined Feature Set with Logistic Regression (CFS-LoR) Model for accurate detection of online payment frauds. In comparison to extant models, the proposed model exhibits a highly accurate detection capability.
NILAI TELADAN IBU BAPA DALAM PEMBENTUKAN ANAK-ANAK CINTA MASJID
Authors: Ismail Safinah , Usman Abur Hamdi , Mohamad Rasit Rosmawati , Aini Zulkefli , Abd. Majid Mariam , Md. Ali Abdul Wahab , Mohd Hamzah Murghayah Khaulah
Published: July 2024

The exemplary values of parents influence children's worship and morals. Good role models have a great impact on children's souls. Children are not able to understand the goodness that is being taught until they see their parents doing it. However, the reality today is that there are parents who do not set a good example for their children. Muhamad Zaki Zainuddin's study (2022) found that parents' worship practices have a significant relationship at a low level with students' worship practices (r = 0.374, p < 0.01). Therefore, this study aims to examine the value of parental role models in the formation of children's love for the mosque. The methodology for this study is a qualitative study. The form of this study is phenomenology. The sampling of the study was to 11 parents who were selected based on the justification that had been set. The analysis of this research data is thematic. The findings of this study show that the value of role models from mothers is very important in the formation of children's love for the mosque because parents are a reflection of children. When parents often attend congregations and visit mosques and suraus, children will indirectly follow what their parents do. In addition, the togetherness of mothers who often go to the mosque with their children can strengthen family relationships. This can form a Muslim family that is harmonious and blessed by Allah SWT.
CONTACTLESS DONATIONS COLLECTION IN MOSQUES: CHALLENGES AND PROSPECTS
Authors: Idris Junainah , Mat Nor Fadilah , Azman Aza Shahnaz
Published: July 2024

The mosque is more than just a symbol for Muslim society. It establishes an identity and strengthens Muslim values. Changes in market trends as a result of digital transformation have an impact on industries and people's lifestyles, including non-profit organizations such as mosques. Adoption of cashless payments and usage such as credit cards, online banking, and e-wallets has increased and grown in popularity among Malaysia's tech-savvy consumers, driven by the rise of digital trends. Therefore, this study investigates the challenges and prospects of using e-wallets in donation collections in Malaysian mosques, as well as the implications for mosques and donors. This study analyses the e-wallet phenomenon using a SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis to assess the potential usage of e-wallets in mosques. Suggested here are also strategies to leverage the strengths and opportunities as well as overcome the weaknesses and threats.