bluuebunny/crossref_metadata_2025 huggingface dataset:
An Anthropometric Failure and Associated Socio-Demographic Factors Among 7-13-Year-Old Children in Lahore City, Pakistan: A Cross-Sectional Study
Authors: Raza Qaisar , Shah Sajid Ali , Yousaf Fizza , Kaynat Wajeeha , Shehzad Amna
Published: July 2024

Background: Childhood malnutrition has always been a public health problem. Childhood malnutrition has a double burden involving undernutrition e.g., stunting, wasting, undernutrition and childhood obesity/overweight which have been greatly enhanced in the past few years.
Methodology: This study was designed to estimate the prevalence of undernutrition and overweight/obesity among 7-13 years old children of school-going age in Lahore city, Pakistan. A questionnaire was developed in which students were asked questions about their dietary habits, hygienic conditions, source of drinking water, illness, and socioeconomic status. Pearson Chi-square was applied to find the association between anthropometric failure and all these factors.
Results: Prevalence of underweight, stunting, wasting, overweight, obesity, abdominal overweight/obesity, and anthropometric failure was 3.6%, 7%, 7%, 2%, 0.26%, 28.8%, and 27.2% respectively.
Conclusion: We concluded a positive association between a mother's education status and undernutrition. There is a need to focus on nutrition education and awareness among parents so that the dietary habits of children may improve. This study highlights the importance of promoting nutrition knowledge of parents and the hygienic conditions of schools and children.
Self–Reported Healthy Lifestyle Behaviors among Physicians Working in Tertiary Care Hospitals in the Twin Cities: A Descriptive Cross-Sectional Study
Authors: Malik Naushaba , Malik Minaal Ahmed , Aftab Shah Bakht , Noor Rida , Khalid Usman , Shahzad Tayyaba
Published: July 2024

Background: The objective of the study was to examine whether physicians working in tertiary care hospitals adopt disease-preventing and health-promoting behaviors.
Methodology: A descriptive cross-sectional study was conducted in twin cities at 10 randomly chosen tertiary healthcare facilities. Medical professionals were given the Health-Promoting Lifestyle Profile II (HPLP II) questionnaire, which included sociodemographic data, diet intake, spiritual growth, health responsibility, interpersonal interactions, physical exercise, and stress management. Participants responded on a four-point Likert scale from "never" to "routinely." Responses were categorized as "poor," "moderate," "good," or "excellent." Data were analyzed using SPSS 23.
Results: The average age of participants was 31.6 years, with a standard deviation of 10.1 years. The sample had a moderate health promotion lifestyle profile, with an HPLP-II mean score of 126.68 and a standard deviation of 19.69. Among health promotion aspects, 'Spiritual Growth' had the highest mean score (25.30±4.731), and 'Physical Activity' had the lowest (17.48±4.392). Physicians affiliated with Rawal Institute of Medical Sciences had the highest aggregate scores in promoting a healthy lifestyle, while those affiliated with Pakistan Institute had lower scores. Female doctors exhibited better health responsibility practices than male physicians, while male physicians had better nutritional habits.
Conclusion: Healthcare staff in the twin cities generally followed healthy behaviors. These results emphasize the need to focus on doctors' well-being and to develop and implement policies to enhance their efforts in promoting healthy lifestyles.
Factors Influencing the Choice of the Dental Profession Among Saudi Dental Students and Interns
Authors: Nazir Muhammad Ashraf
Published: July 2024

Background: Understanding the motivations behind the selection of the dental profession is crucial for students, families, academic institutions, and researchers. This study aimed to assess the factors influencing enrollment in dental schools among dental students and interns in Saudi Arabia.
Methodology: A cross-sectional study was conducted on both male and female dental students and interns from seven private and public dental colleges across Saudi Arabia. The questionnaire comprised 17 items assessing career motivations, with a Cronbach alpha coefficient of 0.75. Prior to distribution, the questionnaire underwent pretesting and was then administered through an online link to the participants.
Results: The study encompassed data from 637 participants, with an average age of 21.80 ± 2.14 years. The primary reason cited for selecting the dental profession was its human nature (96.4%), followed by the desire to treat individuals (90.3%) and the perceived flexibility in work (87.1%). The mean score on the scale for the sample was 63.51 ± 9.14, with male participants exhibiting a significantly higher mean score (66.03 ± 8.46) compared to their female counterparts (59.77 ± 8.84) (P < 0.001). Additionally, junior students (64.92 ± 9.02) showed a significantly higher mean score compared to senior students and interns (62.4 ± 9.09) (P = 0.001).
Conclusion: This study highlights compassion, patient care, and work flexibility as predominant reasons for choosing dentistry as a profession. Male participants, junior students, those with higher academic scores, and those with paternal education at the college/university level exhibited significantly stronger motivation towards pursuing a career in dentistry.
Pulmonary High Resolution Computed Tomography Findings of COVID-19 Patients Using CO-RADS Classification: A Study on Pakistani Population
Authors: Mehar Muhammad Abdullah , John Akash , Ali Abid , Gill Anil , Faridi Tallat Anwar
Published: July 2024

Background: This study aimed to use high-resolution computed tomography (HRCT) and the CO-RADS grading system to diagnose COVID-19 patients and determine severity.
Methodology: A retrospective study analyzed data from 280 patients at Aziz Bhatti Shaheed Hospital Gujrat between January and August 2021. Informed consent and ethical approval were secured. Data collection used a 64-slice multi-detector CT scanner, including patients with positive and negative COVID-19 polymerase chain reaction (PCR) findings. Data were analyzed using SPSS version 23.
Results: The study included more males (170, 60.7%) than females (110, 39.3%), with the most affected age group being 45-64 years. HRCT findings showed ground glass opacities in 212 cases (35.6%), consolidations in 158 cases (26.5%), Crazy paving sign in 54 cases (9.1%), pulmonary lesions in 54 cases (9.1%), interstitial lung disease in 42 cases (7.0%), pulmonary infiltrates in 32 cases (5.4%), atelectasis in 26 cases (4.4%), and pulmonary fibrosis in 18 cases (3.0%). CO-RADS classification results were: CO-RADS 1 (5, 1.8%), CO-RADS 2 (11, 3.9%), CO-RADS 3 (101, 36.1%), CO-RADS 4 (68, 24.3%), CO-RADS 5 (56, 20%), and CO-RADS 6 (39, 13.9%). PCR results were positive only in severe cases (starting from CO-RADS 2), while HRCT detected pulmonary findings even in less severe cases (starting from CO-RADS 1).
Conclusion: High-resolution computed tomography accurately and quickly identifies COVID-19 infections, even when PCR findings are negative. The CO-RADS technique effectively determines the severity and spread of COVID-19. CO-RADS 3 was the most frequently reported category, with typical findings including peripheral ground glass opacities and bilateral pleural consolidations.
Levels Estimation of Iron, Zinc and Copper in the Serum of Children Infected with Giardiasis
Authors: Taher Huda Mawlood
Published: July 2024

Giardiasis is an infection in the small intestine, it’s caused by a microscopic parasite called Giardia lamblia. In this study, we examined stool samples for 75 children, 1–12 years old during the period from August to November 2023 from children who attended a pediatric hospital in Kirkuk city, and we estimated the levels of iron, zinc, and copper in these children. A stool examination was done for all samples to detect cysts or trophozoites of Giardia lamblia. Also, we measured the levels of iron, zinc, and copper by atomic absorption spectrophotometer. The highest rate of parasite infection (66.7%) was recorded in the age group (4–6 )years old. Serum iron and copper levels considerably decreased (P<0.05) in comparison to the control group.   It was noted that most of the infected children suffer from abdominal pain with intermittent diarrhea.
Effect of Some Environmental Factors and Antibiotics on the Growth of Different Species of Rhizobium
Authors: Mohammed Sara Musbah , Sultan Raad Hassani
Published: July 2024

Six native rhizobial isolates from various cultural zones in Ninavah-Governate, Iraq, were used in this investigation. The following rhizobial strains were isolated from leguminous plant root nodules: Rhododendron japonicum SM29 from Glycin max L., Rhizobium leguminosarum bv. trifolii SM35 from Trifolium alexanrinum L., Rhizobium leguminosarum bv. viciae SM10 from Vicia faba L., Ensifer ferdii bv. Fredii SM13 from Vigna unguiclata L., Ensifer meliloti SM28 from Medicago sativa L., and Rhizobium leguminosarum bv. phaseoli SM42 from Phaseolus vulgaris L. Rhizobial bacteria were identified by the spherical, clear colonies seen after cultural investigation. Methyl red and Voges-Proskuar biochemical tests yielded negative results, but urease, catalase, indole, starch, Congo red, citrate, and motility tests yielded positive results. A high tolerance was found by the KNO3 tolerance test.
Determinan Keputusan Memilih Program Studi Manajemen : Pendekatan Kuantitatif pada Mahasiswa Universitas Dirgantara Marsekal Suryadarma
Authors: Permatasari Rita Intan , Nalurita Sari
Published: July 2024

Banyak cara yang telah dilakukan Program Studi S-1 Manajemen Unsurya dalam mengenalkan kampus dan prodinya melalui beberapa kegiatan dengan mitra sekolah dan peranan sosial media. Hasil observasi melihat kecenderungan mahasiswa memilih kuliah di Prodi Manajemen Unsurya dikarenakan minat karena keinginan sendiri sebanyak 59,4 persen, ajakan teman sebanyak 25 persen, saran orang tua sebanyak 12,5 persen, dan sisanya 3,1 persen karena dekat dengan rumah. Sampel penelitian adalah mahasiswa aktif  Program Studi Manajemen angkatan 2020-2023 yang berjumlah 238 orang dengan menggunakan metode penelitian secara deskriptif kuantitatif (inferensia). Teknik sampling atau teknik penarikan sampel secara random acak menggunakan metode slovin diperoleh 150 sampel mahasiswa. Ada tiga variabel yang diteliti yaitu Minat, Motivasi dan Keputusan Memilih Program Studi. Pengumpulan data menggunakan kuesioner google form diperoleh hasil :  (1) minat berpengaruh signifikan terhadap Keputusan Memilih Program Studi Manajemen di Unsurya, (2) motivasi berpengaruh signifikan terhadap Keputusan Memilih Program Studi Manajemen di Unsurya dan (3) minat dan motivasi berpengaruh signifikan secara bersama-sama terhadap Keputusan Memilih Program Studi Manajemen di Unsurya sebesar 61,4 %.
Analisis Preferensi Mengenai Minat Beli Pelanggan E-Commerce
Authors: Wijayanti Novi , Salma Nur Athiyah , Malinda Frisca , Siregar Juni Astri , Abdullah Muhammad
Published: July 2024

Riset ini bertujuan untuk menyelidiki pengaruh harga, keragaman produk, dan kemudahan penggunaan platform terhadap minat belanja di e-commerce Shopee. Metode penelitian yang digunakan adalah metode kuantitatif kausal komparatif, yang bertujuan untuk mengidentifikasi perbedaan persepsi yang memengaruhi minat belanja konsumen dalam tiga generasi: generasi X, generasi Y, dan generasi Z. Teknik pengambilan sampel yang digunakan adalah non-probability sampling dengan jenis purposive sampling, fokus riset ini adalah pada konsumen Shopee di Kota Depok dengan jumlah responden sebanyak 96. Hasil penelitian menunjukkan bahwa variabel harga, keragaman produk, dan kemudahan penggunaan platform memiliki pengaruh baik secara parsial maupun simultan terhadap minat belanja di e-commerce Shopee. Temuan menarik adalah setiap generasi memiliki faktor dominan yang memengaruhi minat belanja mereka. Generasi X cenderung dipengaruhi oleh faktor harga, sementara generasi Y lebih terpengaruh oleh kemudahan penggunaan platform, dan generasi Z cenderung dipengaruhi oleh keragaman produk
The The Representation of Anger in The Main Character of The Watcher Series
Authors: Nurahmah Gita Indah , Hellystia Devi
Published: July 2024

The majority of this research was verbal anger which occurred most frequently. It can be seen in the main character more often using high tones and speaking harshly in speaking. This proves that anger that comes from feeling threatened tends to trigger angry emotions. This is followed by another finding which amounted to the second most in this finding is the uncontrol type of anger impulsivity. The third is the externalization type of anger locus. Then the reflection type of anger direction, and the punitive of anger objective. This research aims to discover the types of anger and analyze the causes of anger represented in the dialogue of the main character in the TV series The Watcher. This research used a qualitative descriptive method, to classify, and analyze data. The data of this research were the dialogue representation of anger in The Watcher series. The representation of anger in the dialogue with the main character was analyzed using Fernandez's six dimensions.
Pedagogical Relevance of Irresistible Lexical Items Used in Online Media: A Case Study of Urdu Speakers, India
Authors: Dedy Suhery  , Mohd Hamid Raza  , M. Yusuf Hasbalnikistan
Published: July 2024

This paper attempts to determine the account of the irresistible lexical items used in online media, examine the pedagogical strategies that impacted the cycle of the psychological expressions, and generalize the media's applications attracted to the learners' intentions through the features of irresistible lexical items.  The researchers used qualitative descriptive with several techniques, including collecting data from Urdu speakers (participants) who used the irresistible lexical items in language teaching. And then, after reading newspapers, magazines, gadgets, books, journals, etc., the researchers generalized the ideas and concepts of the learners. The account of the irresistible lexical items' pedagogical relevance in online media could improve the Urdu speakers and affect the pedagogical levels, particularly in speaking. The pedagogical structure shapes the teachers' actions, judgments, and other teaching strategies and considers the learners' needs, backgrounds, and understanding. In addition, Language teaching adopts the linguistic framework of the lexical items and affects the medium of communication. Even similar words may be present in its language, affecting the pedagogical structure of language teaching.
Increasing Students’ Motivation in Learning English through Song at Elementary School
Authors: Hidayat Ika Nuriyanti
Published: July 2024

The aim of this research is to increase the motivation of elementary school students at SDN Dau Jetis Malang. At this school, English is one of the subjects that students don't like because it is difficult to understand every vocabulary spoken by the teacher. This school was also used as a research object because the location of this school is quite accessible from the city. The reason for the lack of knowledge regarding vocabulary in English is understandable because elementary school students still do not realize the benefits of studying a foreign language such as English. Here researchers increase students' motivation in learning English by using songs. Songs are known to have great power to attract attention and increase student activity in class. This is proven by the extraordinary activities in the English class. The songs given are children's songs that students often hear so that students understand the melody they hear. The researcher gave 3 songs such as five little ducks for counting songs, twinkle-twinkle little stars for calm songs and ABC song for pronouncing the alphabet. These three songs have been proven to increase students' motivation at SDN Dau Jetis Malang in learning English. the class becomes livelier and more colorful. Increasing students' motivation to use songs to learn English has proven successful for elementary school students and it is hoped that English teachers can improve their ability to use English songs for children.
EFL Teacher Agency in Merdeka Curriculum
Authors: Rachmawati Nur Maulidia , Restu Luthfiani Maulida
Published: July 2024

Curriculum is undoubtedly a crucial part of education. In Indonesia, education curriculum has already undergone several changes. Among others, the newly introduced and implemented one is called “Kurikulum Merdeka”. This study aimed to investigate how English teachers enact agency in English teaching process under curriculum change (Kurikulum Merdeka) and what are the challenges in English teaching process use Kurikulum Merdeka. A case study was used as the research design in this study. Interview guidelines and questionnaires were used as the instruments to get the data. The participants were five English teachers from four Junior high schools in Bogor, Jawa Barat, Indonesia. The result or findings showed that English teachers enacted agency in their teaching process used Kurikulum Merdeka with several characteristics, namely: Teacher Intentional Action, Teacher Autonomy, Teacher Professional Growth, Teacher Collaboration and Teacher Contextualization. And there are several problems or challenges in teaching English used Kurikulum Merdeka, such as: lack of information, lack of facilities and infrastructure, and students’ abilities. To solve the problems or to face the challenges collaboration from government, school support, teachers, parents and students is needed.
Pendampingan Mewujudkan Lingkungan Hidup Bersih dan Sehat Bersama Masyarakat Sungai Pulai Melalui Kegiatan Ecobricks
Authors: Ulfah Siti Mariah , Septiana Rahma
Published: July 2024

Kesehatan Lingkungan Merupakan imbas dari menjaga kebersihan, Salah satu komponen lingkungan hidup yaitu kesehatan lingkungan dan kesehatan masyarakat. Salah satu permasalahan untuk mewujudkan lingkungan yang bersih dan sehat adalah menumpuknya sampah di masyarakat,  menanggulangi sampah yang diproduksi oleh masyarakat baik sampah organik maupun sampah anorganik merupakan permasalahan umum di masyarakat. Melalui Pengabdian masyarakat (PKM) ini bertujuan untuk untuk memberikan penyuluhan dan pelatihan tentang penanggulangan sampah  baik sampah organik maupun anorganik dengan  mendaur ulang sampah anorganik melalui kegiatan ecobricks, dan sampah organik menjadi pupuk Organik Cair (POC), PKM ini menggunakan pendekatan Participatory Action Research (PAR) dengan metode PRA. Kegiatan ini menghasilkan Ecobriks perabot rumah tangga yaitu kursi dari bahan sampah plastik dan dari sampah rumah tangga dibuat pupuk organik Cair.(POC). Respon masyarakat sangat antusias dan kegiatan ini harus ada tindak lanjut karena keberhasilan PKM ini diukur tidak hanya selama proses namun harus ada tindak lanjutnya agar lingkungan hidup bersih dan sehat dapat terwujud.
Membangun Pemahaman Keuangan Untuk Mencegah Korban Pinjol Pada Mahasiswa Universitas Muhammadiyah Jember
Authors: Cahyono Dwi , Ayuningtyas Radina , Maulidiah Ananda Dwi , Jannah Kamilatul , Aisiyah Aurelia Trya Febri Nur , Wijaya Zico Is Mirza , Lestari Evi
Published: July 2024

Dalam era digital yang telah berkembang pesat, teknologi finansial menjadi semakin penting bagi kehidupan sehari - hari, termasuk Financial Technology (FinTech) yang menggabungkan inovasi keuangan dengan teknologi modern. Salah satu jenis FinTech yang populer di Indonesia adalah Peer To Peer (P2P) Lending atau pinjaman online (pinjol). Artikel ini membahas kegiatan Pengabdian Kepada Masyarakat (PKM) yang dilakukan oleh Tim PKM Universitas Muhammadiyah Jember untuk meningkatkan pemahaman keuangan mahasiswa yang berguna untuk mencegah agar tidak ada korban pinjaman online (pinjol). Hasil dari kegiatan PKM yang dilakukan oleh Mahasiswa Universitas Muhammadiyah Jember menunjukkan bahwa pelatihan dan sosialisasi dengan topik mengenai dampak negatif pinjol serta pengelolaan keuangan yang baik, sangat bermanfaat bagi mahasiswa. Partisipasi mahasiswa dalam kegiatan PKM dinilai baik, sehingga diharapkan kegiatan pembinaan dan pelatihan ini terus berlanjut untuk meningkatkan kemampuan mahasiswa dalam mengelola keuangan dengan baik. Dengan demikian, artikel ini dapat memberikan kontribusi dalam upaya mencegah mahasiswa dari menjadi korban pinjaman online melalui pemahaman keuangan yang lebih baik
Educational Transformation: Using Virtual Reality as a Learning Tool for The Future
Authors: Akbar Jakub Saddam , Djakariah Djakariah
Published: July 2024

Education continues to transform with the introduction of advanced technology such as Virtual Reality (VR). The use of VR as a future learning tool promises to revolutionize the way students learn and interact with course material. This research aims to explore the potential of VR to increase student engagement through a more interactive and immersive learning experience. The research method used is literature study. Through a literature study and analysis of recent developments, we see how VR can aid the understanding of complex concepts, such as science and mathematics, as well as improve understanding of historical content through realistic simulations. However, challenges such as device costs and curriculum integration need to be overcome to realize the full potential of this technology in education. It can be concluded that with the right strategy, VR can be the key to creating more personalized and effective learning experiences, leading to major transformations in the global education system. This research contributes to a more personalized and effective learning experience, which in turn can improve the quality of education and student learning outcomes
To a discussion on the shifting mode of reproduction
Authors: Mayevsky V. I. , Malkov S. Y. , Rubinstein A. A.
Published: July 2024

The present article is a response of the authors of the theory of the shifting mode of reproduction (SMR) to the critical article by E. Goryunov “Theory of the shifting modes of reproduction: Where do the non-neutrality of money and economic cycles come from?” (Voprosy Ekonomiki, 2023, No. 12). The main disagreement between us and Goryunov is as follows. We believe that money can be non-neutral in the long-run, and therefore the policy of monetary stimulation under certain conditions is able to activate economic growth in the long run. Goryunov adheres to the opposite point of view and tries to justify it. In our reply, we prove that Goryunov’s criticism is untenable because it is based on artificial techniques and false preconditions that have no relation to the PRV model. There is no doubt that the SMR model needs further improvement. However, we are by no means going to give up the obvious advantage of the model: its ability to consider economic growth as a process that depends significantly on the financing of investment in fixed capital. This kind of monetary stimulation of growth is inherent in the real economy, and the SMR model mimics it.
The theory of cultural evolution by F. A. Hayek and evolutionary psychology (Part two)
Authors: Kapeliushnikov R. I.
Published: July 2024

The paper highlights the theory of cultural evolution by F. A. Hayek, which in retrospect appears as a complex and deep system, in many respects anticipating the ideas of modern evolutionary psychology. The second part dicusses its key element — the idea of group selection, which Hayek used to explain why, in the long-run evolutionary perspective, more efficient social orders capable of providing a higher living standard and supporting a larger population are more likely to survive. This became grounds for his accusations of shifting onto the position of methodological holism. However, under closer examination group selection and methodological individualism turn out to be quite compatible, appearing in Hayek’s understanding as two aspects of a unite explanatory scheme.
Modern economic theory and stylized facts
Authors: Dementiev V. E.
Published: July 2024

The article is devoted to the role of stylized facts in the formation and implementation of a research program. The state of modern economic theory is considered from the standpoint of using the generalization method as one of the main methods of scientific knowledge. Three potential sources of weakness in theoretical research have been identified: insufficient attention to stylized facts, a shortage of such facts themselves, and ignoring the possibilities of reducing this deficit. Insufficient attention is illustrated, in particular, by the example of a macroeconomic description of technological renewal of production. Even advanced models of macroeconomic dynamics tend to ignore the existence of a period of simultaneous development of old and new technologies, during which the new ones used are still inferior in their characteristics to the old technologies. In the context of the transition to digital technologies, it becomes especially important to take into account the effects of scale characteristic of these technologies, but they are not taken into account in the new neoclassical synthesis. Modern digital technologies open up prospects for the formation of “quasi-stylized” facts with the help of models capable of simulating long-term experience of economic development in a short time. The peculiarity of stylized facts for different time periods is due to the use of specialized theories for individual stages of economic development.
Ethical consumption: Theoretical concepts and a contribution to the debate
Authors: Shabanova M. A.
Published: July 2024

The paper focuses on ethical consumption, which is one of the most debatable types of the “non-standard” consumption. Despite its growth in recent decades, the diverse criticism of the phenomenon has continued: ranging from the statements that this phenomenon cannot be significant or effective to categorical statements regarding its mythical essence or verbal existence. The article shows that this criticism is due to a lack of clarity in the theoretical concepts of the phenomenon. Based on the accumulated scientific knowledge, including the results of both foreign and a series of representative studies in Russia, the article substantiates the basics of ethical consumption and the resulting prospects for its conceptualization. It is concluded that a complex, interdisciplinary, and multilevel understanding of the nature and the specifics of the phenomenon formation allows eliminating most of the criticism and validating effective partnership models between key actors as well as minimizing the risks of applying the growing consumption demand by the destructive forces.
Expansion of vacant jobs in the Russian labor market: Dynamics, composition, triggers
Authors: Kapeliushnikov R. I.
Published: July 2024

The paper explors the key development in the Russian labor market of the 2020s — emergence of a massive overhang of vacant jobs. It discusses theoretical aspects of the problem of labor “shortage”, examines probabale triggers for the vacancy spurt, and analyzes its dynamics and composition. The starting point of this spurt had a precise time reference — the peak of the coronavirus pandemic, as evidenced by a sharp upward shift in the Beveridge curve in the second quarter of 2020. New exogeneous processes started in 2022 (such as mobilization and “relocation”) gave it even greater scale. The vacancy overhang is universal: there is no industry or occupation where it did not grow. These shifts marked the transition of the Russian labor market to a new operational regime.
Psychological factors associated with Chinese international students' well-being in the United States
Authors: Yin Zizhuo , Ong Lee Za , Qiao Ming
Published: July 2024

Chinese international students’ well-being is an important part to notice with the rapid number of Chinese international students in the U.S and the increasing number of depressions in college. This article systematically reviews support for the diverse psychological factors related to Chinese international students in the U.S. with mental health problems. A systematic review of articles using analytical method were conducted followed PRISMA guideline. 1600 studies were initially reviewed from EBSCO, ProQuest, etc. After examining inclusive and exclusive criteria, 30 studies were included in the full review.19 psychological factors associated with Chinese international students’ well-being were found and the positive or negative relationships between the factors were presented. Result showed social support is positively associated with CIS's well-being and is correlated with acculturative adjustment for improving psychological well-being. This research revealed the importance of considering culture psychology in mental health professions, such as acculturation, language issues, and social support.
Peculiarities of The Progressive, Perfect and Future Formation in Colloquial Arabic
Authors: Al-Jarf Reima
Published: July 2024

Arabic has three tenses: past, present and future. The past tense refers to actions that took place in the past (كتب kataba He wrote). The present tense pertains to habitual actions, or those that are currently ongoing (يكتب /yaktubu/ He writes). The future signifies actions expected to occur in the future by adding the prefix س /sa/ or the particle سوف /sawfa/ to the present tense form of the verb (سيكتب sa-yaktubu He will write). Arabic also has a perfect and an imperfect aspect, an active participle (كاتب /ka:tib/ writer) and a passive participle (مكتوب /maktu:b/ (written). Stretches of discourse containing the progressive markers عمال عم &باش  and active participle forms of sense, motion, and volition verbs as امشي walk, تعال come here, قوم get up; جالس sitting, قاعد sitting, أروح go, سامع hearing, شايف seeing and others were collected from informants and social media posts in order to find out how the aforementioned particles, lexical verbs and participles are used to express the progressive and future aspects in spoken Colloquial Arabic dialects and the grammaticalization process they went through (desemanticization, decategorization, extension and erosion). Data analysis revealed that the particles   باش/ماش (will) and هيا (let’s), verbs as خلينا , هيا,امشي ,  قوم(let’s), express futurity. Other aspectual particles as  عم عمال (are), and verbs of motion, posture, volition and sense and active participles express the Progressive Tense. In some cases, active participles of verbs of motion, posture and volition are ambiguous denoting multiple tenses and aspects as Present Progressive, Past Progressive, Present Perfect depending on the context and availability of adverbs of time. In some case active participles undergo a grammaticalization process where they change from a lexical verb to an aspect marker. Results of the study are given in detail.
Investigating the Impact of TOLOnews TV Political and News Programs on the Political Participation of the Afghan People
Authors: Aria Asadullah , Bayan Naqibullah , Hazeem Shfiqullah
Published: July 2024

This scientific study has explored the significant impact of TOLOnews TV political and news programs on the political participation of the Afghan population. The research demonstrates the crucial role of media in influencing political landscapes and aims to investigate how TOLOnews TV specifically contributes to increased political engagement among Afghans. The study has conducted semi-structured interviews with participants using a qualitative research approach. Drawing on cultivation theory and grounded theory as theoretical frameworks, the data was analyzed using MAXQDA software for content and discourse analysis. The findings reveal that TOLOnews TV political news coverage has been instrumental in promoting political involvement within Afghan society. The study underscores the importance of media, particularly news and political content, in fostering political participation among the populace. Additionally, it stresses the significance of TOLOnews TV in upholding Islamic values cherished by Afghans. It recommends avoiding content that may incite discord among the diverse ethnic groups in Afghan society. By following this approach, TOLOnews TV can promote unity and harmony while respecting the Islamic principles valued by the Afghan people.
REPRODUCTIVE AND GROWTH PERFORMANCE OF FOUR GENOTYPES OF RABBITS FED WITH TOASTED CHRISTMAS BUSH FRUITS (Alchornea cordifolia) SEED MEAL
Authors: SAMSON ADE , ADIMABUA M.M , IRIKEFE-EKEKE E.P. , SANUBI J.O. , OBAKANURHE O.
Published: July 2024

The body weight and reproductive performance of four genotypes of rabbits fed with toasted Alchornea cordifolia seed meal were examined in the study, as well as the body weight performance of their first filial generation and their reciprocal crosses. Toasted Alchornea cordifolia seed meal (TASM) inclusion was to know the (%) level that will perform better. The mating ratio of 1 sire to 9 dams in combinations of Dutch black buck and New Zealand does (DTB X NZW), New Zealand buck and Dutch black does (NZW X DTB), and then their reciprocal crosses resulted in a total of 127 kittens (NZW X DTB). The treatment diets were formulated at different levels to meet the rabbit’s nutritional requirements. Rabbits were kept in hutches inside rabbit’s pens, and feed and water were provided ad libitum. Reproductive and body weight were recorded. Preliminary and phytochemical analysis of the TASM revealed that it has values of 20.00%, 90.30%, 14.50%, 12.00%, 1.05%, and 65.2% for crude protein, dry matter, Ether extract, crude fiber, Ash, and Nitrogen-free extract, and phytochemical contains 6.50mg/g and 86.05mg/g for phytic acid and tannins.  From the experiment, it is revealed that the rabbit fed on 15% TASM (NZW X DTB) significantly (p˂0.05) had a better body weight and reproductive performance than other groups. The findings of this study show that TASM can be incorporated into rabbits' diets up to 15% inclusion level for better weight gain and reproductive efficiency without having any negative impact on the animal.
Projeto Cariúnas: a criatividade na educação musical
Authors: Guimarães Gabrielle Costa , Moreira Priscila Rezende
Published: July 2024

Este artigo, resultado de uma pesquisa realizada em 2023, busca compreender o processo e as principais características da formação de crianças e adolescentes nas aulas de Criatividade, como componente curricular, do Projeto Cariúnas. Localizada em Belo Horizonte, Minas Gerais, essa Organização da Sociedade Civil (OSC) oferece atividades artísticas de música e dança a jovens de baixa renda na região norte da capital mineira. O estudo adota uma abordagem qualitativa, conduzindo entrevistas semiestruturadas com profissionais atuantes no Projeto. O método visa identificar os benefícios presentes no processo formativo dos(as) estudantes, considerando leituras sobre o tema e as falas dos entrevistados: professores e coordenadora pedagógica. Os resultados da pesquisa indicam que as aulas da disciplina de Criatividade são um diferencial notável no Projeto Cariúnas. Conclui-se que a pesquisa destaca que os processos criativos oferecem diversos caminhos que resultam em experiências transformadoras, sendo necessário expandir a análise, explorando o potencial do seu desenvolvimento na área do ensino da música nos projetos sociais, incluindo estudos sobre a criatividade na educação musical dos adolescentes.
Quantifying of runC, Kata and gVisor in Kubernates
Authors: Purwoko Rahmat , Priambodo Dimas Febriyan , Prasetyo Arbain Nur
Published: July 2024

The advent of container technology has emerged as a pivotal solution for application developers, addressing concerns regarding the seamless execution of developed applications during the deployment process. Various low-level container runtimes, including runC, Kata Container, and gVisor, present themselves as viable options for implementation. The judicious selection of an appropriate low-level container runtime significantly contributes to enhancing the efficiency of Kubernetes cluster utilization. To ascertain the optimal choice, comprehensive testing was conducted, encompassing both performance and security evaluations of the low-level container runtimes. This empirical analysis aids developers in making informed decisions regarding the selection of low-level container runtimes for integration into a Kubernetes cluster. The performance assessments span five key parameters: CPU performance, memory utilization, disk I/O efficiency, network capabilities, and the overall performance when executing an nginx web server. Three distinct tools—sysbench, iperf3, and Apache Benchmark—were employed to conduct these performance tests.  The findings of the tests reveal that runC exhibits superior performance across all five parameters evaluated. However, a nuanced consideration of security aspects is imperative. Both Kata Container and gVisor demonstrate commendable host isolation, presenting limited vulnerability to exploitation. In contrast, runC exposes potential vulnerabilities, allowing for exploits against the host (worker node), such as unauthorized directory creation and system reboots. This comprehensive analysis contributes valuable insights for developers, facilitating an informed decision-making process when selecting low-level container runtimes within a Kubernetes environment.
Machine Learning and Internet of Things (IoT): A Bibliometric Analysis of Publications Between 2012 and 2022
Authors: Gani Hamdan , Damayanti Annisa Dwi , Nurani Nurani , Zuhriyah Sitti , Jabir St. Nurhayati , Gani Helmy , Zhipeng Feng , Rejeki Aisyah Sri
Published: July 2024

The implementation between machine learning and the Internet of Things (IoT) has been scientifically investigated in many studies. However, not many bibliometric studies categorize the output in this area. By keeping an eye on the publications posted on the Web of Science (WoS) platform, this study aims to give a bibliometric analysis of research on Machine Learning and IoT, identifying the state of the art, trends, and other indicators. 6.170 different articles made up the sample. The VOS viewer software was used to process the data and graphically display the results. The study examined the concurrent occurrence of publications by year, keyword trends, co-citations, bibliographic coupling, and analysis of co-authorship, countries, and institutions. several prolific authors are discovered. However, the body of literature on machine learning and IoT issues is expanding quickly; only five papers accounted for more than 2193 citations. Then, 40.34 percent of the articles from the 694 sources reviewed were published as the most important paper. At the same time, the USA is the top nation for research on this subject area. In addition to identifying gaps and promising areas for future research, this study offers insight into the current state of the art and the field of machine learning and IoT.
Multiclass Classification on Nominal Value of Rupiah Banknotes Based on Image Processing
Authors: Azis Huzain , Purnawansyah Purnawansyah , Alfiyyah Nurul
Published: July 2024

This study aimed to classify the nominal value of Rupiah banknotes using image processing and classification methods. The research design was conducted by collecting a dataset of Rupiah banknotes consisting of 30 classes, each with 100 images. This research uses image preprocessing by using Canny Segmentation to create the edges of objects and clarify image details. The Hu Moments method, which describes the pixel distribution and shape of objects, was used to extract special features from images. Furthermore, classification modeling was carried out with Decision Tree and Random Forest to classify banknotes based on extracted characteristics. Model evaluation was carried out by measuring accuracy, precision, recall and f1-score performance and using cross-validation with k-fold = 5. The results showed that the Random Forest method was able to classify Rupiah banknotes well. In performance evaluation, the Random Forest method achieved an accuracy of 0.93 and good precision, recall, and f1-score scores for several banknote classes. The Decision Tree method also achieved good results, with an accuracy of 0.86. The results of the classification evaluation showed that the Random Forest method was better than the Decision Tree in classifying the banknotes.
Classification of Correlation Patterns Based on electrocardiogram Data of Heart Defects Using the Pearson Correlation Coefficient Method
Authors: Sumiati Sumiati , Fernando Donny , Hasoloan Hamonangan Iman , Purnamasari Marlia
Published: July 2024

This study was conducted to map the relationship between a symptom and the type of heart disease, based on the results of the electrocardiogram medical record data. The purpose of this study was to apply a symptom correlation pattern based on electrocardiogram data of heart abnormalities. Where the results of this study produce values that determine symptoms that have a very close relationship with the type of heart disorder, and make an analysis to diagnose normal and abnormal heart disorders using the Pearson Correlation Coefficient (PCC) approach. The results show that the relationship between symptoms has a very strong relationship. dominant with normal heart defects is the relationship between AV conduction duration and other symptoms because the relationship between AV conduction duration and other symptoms has a very strong average level of association. symptoms also have a strong average level of association, while the relationship between other symptoms appears to have a moderate relationship and does not even have any relationship with someone who is identified as having a heart abnormality diagnosis (abnormal) and normal heart
Deep Learning Based Technical Classification of Badminton Pose with Convolutional Neural Networks
Authors: Tukino Tukino , Pratiwi Mutiana , Defit Sarjon
Published: July 2024

This research aims to identify and categorize badminton strategies using a Convolutional Neural Network (CNN) model combined with BlazePose architecture and Mediapipe Pose Solution tools, yielding understandable and practical results. The challenge of finding the best mobility strategy for badminton serves as the primary motivation for this study. The research employs an image recognition and supervised learning approach to classify poses in badminton training videos. The training data comprises various photos and images representing different badminton techniques, such as Service Technique and Smash Technique. After data processing, the CNN model is trained using the training data to identify and classify poses in badminton training videos. Testing is conducted using test data, and classification accuracy is evaluated using the CNN method. The results show that the CNN model implemented alongside BlazePose and Mediapipe Pose Solution achieves significant classification accuracy, ranging from 80% to 90%. Thus, this research presents an effective and practical method for classifying badminton strategies based on poses in training videos.
Evaluation of Machine Learning Models for Predicting Cardiovascular Disease Based on Framingham Heart Study Data
Authors: Suhatril Ruddy J , Syah Rama Dian , Hermita Matrissya , Gunawan Bhakti , Silfianti Widya
Published: July 2024

The Framingham Heart Study Community is a research community that produces data related to Cardiovascular Disease (CVD). This research applies technology to predict CVD using machine learning based on data from the Framingham Heart Study. The eight machine learning algorithms are deployed in this study, they are decision tree, naïve bayes, k-nearest neighbors, support vector machine, random forest, logistic regression, neural network, and gradient boosting.This research uses several stages of research such as load dataset, preprocessing data, data modeling, evaluation of various data modelling, and input new data.  The best performance was produced by the random forest model with an accuracy value of 0.84, a precision value of 0.84, a recall value of 0.85, an f1-score value of 0.79 and an AUC value of 0.72. The prediction generated by the proposed machine learning model is high risk or low risk of CVD.
La influencia de tecnologías educativas en el proceso de enseñanza aprendizaje
Authors: Ríos Illapa Manuela Leticia , Chacha Ríos Leonor Humbelina , Quiñonez Yanza Carla Betzabeth , Falconí Castro Dina Patricia , Guamán Caiza Diana Carolina , Criollo Chaglla Lourdes Piedad
Published: July 2024

En el estudio realizado se investigó el impacto de las tecnologías educativas en el proceso de enseñanza-aprendizaje. El objetivo principal fue analizar cómo la integración de herramientas tecnológicas influye en la calidad educativa y en los resultados académicos de los estudiantes. Para abordar esta cuestión, se llevó a cabo una revisión sistemática de la literatura en bases de datos reconocidas como Scopus, Taylor & Francis, Springer y ProQuest. Se aplicaron criterios de inclusión y exclusión para seleccionar los artículos pertinentes, centrándose en aquellos publicados entre 2019 y 2024 en inglés y español, que contenían información empírica sobre la influencia de las tecnologías educativas en el proceso de enseñanza-aprendizaje. Los resultados revelaron que la implementación de tecnologías educativas está transformando la educación, mejorando la interacción entre estudiantes y docentes, y optimizando la calidad educativa. Se identificaron prácticas efectivas que pueden contribuir a mejorar los resultados académicos y a enriquecer el proceso de enseñanza y aprendizaje.
Aplicación de la Inteligencia Artificial en la evaluación del impacto ambiental de proyectos de ingeniería
Authors: Zambrano Salazar Luis Leonardo , Acosta Lozada Rodrigo Iván , Mayacela Rojas Celia Margarita , Renteria Bustamante Leonardo Fabián
Published: July 2024

La aplicación de la inteligencia artificial en la evaluación del impacto ambiental de proyectos de ingeniería civil ha demostrado ser una herramienta valiosa para mejorar la precisión y eficacia de este proceso. A diferencia de los métodos tradicionales, la Inteligencia Artificial permite analizar grandes cantidades de datos, generar modelos predictivos y facilitar la toma de decisiones informadas. Los estudios de caso revelan que técnicas como el Proceso de Análisis Jerárquico, Árboles de Decisión y Máquinas de Soporte Vectorial han sido aplicadas exitosamente en proyectos de construcción de carreteras y presas. Sin embargo, existen desafíos éticos y limitaciones técnicas que deben abordarse, como la transparencia, la disponibilidad de datos y la incertidumbre en las predicciones. La investigación futura debe enfocarse en desarrollar modelos que aborden estas problemáticas y establezcan técnicas para determinar la incertidumbre en las predicciones. A pesar de estos desafíos, la Inteligencia Artificial tiene el potencial de transformar la evaluación del impacto ambiental, contribuyendo a la prevención de impactos negativos y la promoción de la sostenibilidad en los proyectos de ingeniería civil.