bluuebunny/crossref_metadata_2025 huggingface dataset:
Pelatihan Kemampuan Numerasi Bagi Peserta Didik untuk Bernalar Kritis
Authors: Johar Rahmah , Mastura Ayu , Hajjina Cut Yuni Nurul , Tanjung Azbar
Published: October 2024

Kemampuan numerasi merupakan dasar dari berbagai aspek kehidupan. Dalam pembelajaran, kemampuan numerasi tidak hanya dapat meningkatkan kemampuan kognitif dan problem solving, akan tetapi juga dapat mengembangkan kemampuan bernalar kritis siswa. Tujuan pengabdian ini yaitu untuk meningkatkan kemampuan numerasi siswa yang merupakan kemampuan dasar untuk mempelajari matematika yang tingkatannya lebih kompleks maupun pelajaran lainnya. Metode yang digunakan adalah Community Based Research (CBR) yaitu suatu pendekatan yang mengutamakan kebutuhan masyarakat dan menyatukan berbagai elemen komunitas untuk dapat berpartisipasi secara aktif dalam penelitian guna mengatasi tantangan yang muncul di dalam komunitas tersebut. Subjek dalam kegiatan ini adalah siswa kelas X SMA Cut Meutia Banda Aceh yang berjumlah 120 siswa. Hasil dari pengabdian ini menunjukkan peningkatan kemampuan numerasi siswa melalui tes yang diberikan setelah pelatihan berakhir dan adanya motivasi siswa untuk terus melatih kemampuan numerasi mereka yang diketahui melalui hasil angket.
Holistic support framework for doctors training as rural and remote general practitioners: a realist evaluation of the RVTS model
Authors: O'Sullivan Belinda G , Giddings Patrick , Gurney Ronda , McGrail Matthew R , Gurney Tiana
Published: October 2024

Objective

To develop theory about how and why the supervision and support model used by the Remote Vocational Training Scheme (RVTS) addresses the professional and non‐professional needs of doctors (including many international medical graduates) who are training towards general practice or rural generalist fellowship while based in the same rural or remote practice.

Design, setting, participants

We conducted a realist evaluation based on the RAMESES II protocol. The initial theory was based on situated learning theory, networked ecological systems theory, cultural theory and geographical narcissism theory. The theory was developed by collecting empirical data through interviews with 27 RVTS stakeholders, including supervisors, participants and RVTS staff. The theory was refined using a project reference and a stakeholder advisory group and confirmed using individual meetings with experts.

Main outcomes measures

Theory about how the contexts of person, place and program interacted to address professional and non‐professional needs.

Results

The RVTS program offers remote access to knowledgeable and caring supervisors, real‐time tailored advice, quality resources and regular professional networking opportunities, including breaks from the community. It worked well because it triggered five mechanisms: comfort, confidence, competence, belonging and bonding. These mechanisms collectively fostered resilience, skills, professional identity and improved status; they effectively counteracted the potential effects of complex and relatively isolated work settings.

Conclusion

This theory depicts how a remotely delivered supervision and support model addresses the place and practice challenges faced by different doctors, meeting their professional and non‐professional needs. The participants felt valued as part of a special professional group delivering essential primary health care services in challenging locations. The theory could be adapted and applied to support other rural and remote doctors.
Continuity of service and longer term retention of doctors training as general practitioners in the Remote Vocational Training Scheme
Authors: McGrail Matthew R , O'Sullivan Belinda G , Giddings Patrick
Published: October 2024

Objective

To explore continuity of service and longer term retention outcomes of participants of the Remote Vocational Training Scheme (RVTS).

Design, setting, participants

Retrospective cohort study of all doctors who participated in the RVTS from 2000 to 2023, many of whom are international medical graduates and are expected to work in the same community for three to four years in remote (Modified Monash Model [MMM] categories 4–7) or rural Aboriginal Medical Services (AMS) streams while undertaking training towards general practice fellowship.

Main outcome measures

Continuity of service was measured in the pre‐program period (period working in same practice before commencing) and during‐program period (period completing the RVTS program in same practice as worked in before commencing the program). Retention was measured firstly within two years, and secondly beyond two years (up to 20 post‐completion years) based on: working in the same community (relevant to both streams); working in the same region (Remote Stream only); working in any MMM4–7 community (Remote Stream only); or working anywhere rurally (both streams).

Results

From 506 enrolled participants, 373 (73.7%) were international medical graduates. The approximate mean service continuity in the same practice was 1.6 years (standard deviation [SD], 2.2 years) for the pre‐program period and 3.6 years (SD, 1.4 years) for the during‐program period (mean total, 5.2 years). Two years after completion, 21 out of 43 Remote Stream doctors (49%) and four out of five AMS Stream doctors (80%) remained in the same community. Over the long term, retention in the same community stabilised to 44 out of 242 Remote Stream doctors (18.2%) and seven out of 27 AMS Stream doctors (26%); 72 Remote Stream doctors (29.8%) remained in the same region, 70 Remote Stream doctors (28.9%) were in an MMM4–7 community, and 11 AMS Stream doctors (41%) were in a rural (MMM2–7) community.

Conclusion

Strong service continuity outcomes have been achieved by the RVTS, which supports mostly international medical graduates in locations typified by the highest workforce turnover. This suggests that continuity of service could be improved for remote and First Nations communities through place‐based retention‐focused programs like the RVTS.
Analisis dan Perancangan Sistem Informasi Akuntansi Pengelolaan Keuangan Pada BUMDes Sari Merta Dana Utama Desa Sumerta Kauh
Authors: - Ayu Budiartini
Published: October 2024

Sistem informasi akuntansi adalah sistem yang memproses data dan transaksi guna menghasilkan informasi yang bermanfaat untuk merencanakan, mengendalikan dan mengoperasikan bisnis. Saat ini masih terdapat pemerintahan desa yang belum menerapkan sistem informasi akuntansi dengan baik, salah satunya yaitu Bumdes Sari Merta Dana Utama Desa Sumerta Kauh. Sari Merta Dana Utama merupakan Lembaga usaha desa yang dikelola oleh masyarakat dan pemerintahan desa dan dibentuk berdasarkan kebutuhan dan potensi desa. Saat ini Sari Merta Dana Utama mengalami beberapa kendala dalam sistem pengelolaan keuangan mereka. Tujuan dari penelitian ini adalah merancang sebuah sistem informasi akuntansi pengelolaan keuangan, sehingga dapat mempermudah pihak Bumdes Sari Merta Dana Utama dalam melakukan pencatatan dan mempermudah pemantauan mengenai pemasukan dan pengeluaran keuangan di Bumdes.
Implementasi Algoritma K-Means untuk Mengelompokkan Data Tingkat Kemiskinan di Sulawesi Selatan Berdasarkan Kota/Kabupaten
Authors: Irfan  , Faizal Lut
Published: October 2024

Kemiskinan adalah suatu kondisi dimana individu atau kelompok tidak memiliki akses yang memadai terhadap sumber daya ekonomi, sosial, dan budaya yang dibutuhkan untuk mencapai standar kehidupan yang wajar. Data Badan Pusat Statistik (BPS) memberikan gambaran umum mengenai tingkat kemiskinan di Provinsi Sulawesi Selatan, meskipun hanya menyajikan tingkat kemiskinan yang dikategorikan berdasarkan kabupaten/kota. Untuk menentukan prioritas, pemerintah harus memiliki pengetahuan tentang daerah dengan tingkat kemiskinan tertinggi dan terendah agar dapat mengatasi kemiskinan secara efektif. Oleh karena itu, sangat penting untuk mengkategorikan kabupaten atau kota di Sulawesi Selatan berdasarkan tingkat kemiskinannya. Hal ini akan memungkinkan pemerintah untuk mengembangkan kebijakan atau strategi yang tepat untuk mengetasi kemiskinan dengan mempertimbangkan tingkat kemiskinan di setiap kabupaten atau kota. Pengelompokan data dalam penelitian ini dilakukan dengan menggunakan algoritma K-Means dan program RapidMiner. Temuan penelitian ini menunjukkan adanya empat klaster kabupaten atau kota yang berbeda, yang dikategorikan berdasarkan tingkat kemiskinannya. Klaster-klaster tersebut dikategorikan sebagai berikut: Klaster 0 terdiri dari Jeneponto, Gowa, Pangkep, Luwu, dan Luwu Utara. Klaster 1 meliputi Bulukumba, Takalar, Maros, Wajo, Pinrang, Enrekang, Tana Toraja, dan Toraja Utara. Klaster 2 terdiri dari Bone dan Makassar. Terakhir, Klaster 3 terdiri dari Kepulauan Selayar, Bantaeng, Sinjai, Barru, Soppeng, Sidrap, Luwu Timur, Pare-Pare, dan Palopo. Klaster 2 memiliki tingkat atau jumlah kemiskinan terbesar di antara semua klaster.
Klasifikasi Data Mining Pada Tingkat Kepuasan Pengunjung Maccahaya Waterboom dengan Algoritma C.45
Authors: Ismail Ismail , Erwin Syah Rezky
Published: October 2024

Penelitian ini bertujuan mengklasifikasikan tingkat kepuasan pengunjung yang terbagi menjadi dua kelas yaitu "Puas" dan "Tidak Puas". Data yang digunakan dalam penelitian ini dikumpulkan melalui penyebaran kuesioner kepada 106 responden yang pernah berkunjung ke Maccahaya Waterboom. Hasil penelitian menunjukkan bahwa model klasifikasi menggunakan algoritma C.45 mencapai tingkat akurasi sebesar 93.75% dengan variabel yang memiliki pengaruh signifikan terhadap kepuasan pengunjung adalah X5 (Kebersihan)  dan X2 (Fasilitas). Implementasi sistem klasifikasi ini dilakukan melalui sebuah website yang dibangun menggunakan bahasa pemrograman Python dengan framework Flask dan MySQL sebagai basis data
qualidade do sono está associada a determinantes sociodemográficos e clínicos em usuários acompanhados na Atenção Primária à Saúde durante a pandemia de COVID-19
Authors: Chagas Andressa dos Santos , Mattos Cândido Norberto Bronzoni de , Dipp Thiago
Published: October 2024

Introdução: O avanço da pandemia de COVID-19 acarretou alterações no sono da população. Os distúrbios do sono têm relação com as principais alterações de saúde mental e também possuem relação com os fatores psicossociais. Objetivo: Estimar a prevalência e fatores associados às alterações na qualidade do sono em usuários acompanhados na Atenção Primária à Saúde durante a pandemia de COVID-19. Métodos: Estudo do tipo transversal, com adultos (idade >18 anos) de ambos os gêneros, acompanhados por uma unidade de saúde. Foram levantadas as informações do prontuário eletrônico da unidade e, durante a visita domiciliar (entre agosto e setembro de 2021), os dados socioeconômicos, fatores de risco, sinais vitais, variáveis antropométricas, hábitos de vida, medicações em uso, uso dos serviços de saúde, internação e consultas no último ano. A qualidade de vida foi avaliada pelo questionário SF-36 e foi usado o Índice de Qualidade do sono Pittsburgh (PSQI). Resultados: A amostra foi formada predominantemente por mulheres (82,9%) com 60,5±11,7 anos de idade, da cor branca (70,7%), com companheiro (61%) e pertencentes à classe C (65,8%). 53,7% da amostra apresentou até duas comorbidades, 87,8% apresentavam sobrepeso/obesidade e 80% faziam uso de anti-hipertensivo. A prevalência de qualidade do sono ruim foi de 87,8% (IC95% 73,1–95,0). Os achados apontam para uma relação entre má qualidade do sono com consumo de álcool, presença de ≥3 comorbidades, níveis de PAS, uso de ansiolíticos, nível de escolaridade e uso de serviços de saúde durante a pandemia. Conclusões: A alta prevalência de qualidade do sono ruim na amostra estudada sugere que determinantes sociodemográficos, presença de comorbidades e hábitos de vida devem ser considerados para minimizar os efeitos das alterações do sono na pandemia.
In silico structural and interactional study of wheat proteins gliadin and glutenin with comparison to wheat toxin alpha-purothionin
Authors: Sana Fatima  , Aiman Nayab  , Abida Bibi  , Shaista Naz  , Amjad Ullah Khan  , Mehak Hayat  , Kalsoom Begum  , Ayesha Urooj  , Muhammad Umer Farooq Qureshi  , Saqib Ali Rustam
Published: October 2024

Wheat is most important component of food throughout the world. Wheat is full of different proteins but most abundant and most studied proteins are gliadin and glutenin. Interaction of gliadin and glutenin is important in biological properties of the wheat flour. Wheat also produce a toxin known as purothionin, which is used by the plant to show defense against different types of pathogen attack. Current in silico study was done to investigate the interaction between gliadin and glutenin proteins against wheat toxin alpha-purothionin solely. Methodology that was used in the current study consists of RaptorX tool for protein modeling, PROCHECK for predicted 3D model verification. CASTp 3.0 online tool for active site prediction. Online tool Cluspro and offline tool ligplus+v2.1 for protein-protein docking and visualization of docked complex respectively. Results showed high interaction between gliadin and glutenin, which supported the results of previous studies. While interaction between gliadin and purothionin proteins was high as compared to interaction between glutenin and alpha-purothionin proteins. Different helices were noted in the 3D structure of gliadin and glutenin proteins, where most of the time Gln amino acid was involved in making the helices. Form the results it has been concluded that greater interaction between gliadin and alpha-purothionin was due to similar sequence of gliadin with viral protein so the interaction of toxin purothionin against pathogens enhance the interaction of gliadin with alpha-purothionin. Current in silico study will enhance the understanding about the interaction of important wheat proteins.
Alcohol consumptions and prevention of underage alcohol consumption in Pakistan
Authors: Aiman Nayab  , Sana Fatima  , Saqib Ali Rustam  , Aisha Gul  , Amjad Ullah Khan  , Abida Bibi  , Kalsoom Begum  , Muhammad Umer Farooq Qureshi  , Junaid Qayum
Published: October 2024

Alcohol consumption is the serious issue in the Islamic countries especially in Pakistan. In Pakistan alcohol consumption is partially legal and available to non-Muslims at licensed liquor stores and hotel bars. Sales through stores not allowed in the month of Ramazan and on Fridays. But still it has been used in the country by different seller and because of this our youth is getting involved in alcohol addiction. In the current review we highlighted the laws of Pakistan against the alcohol usage and selling. Although alcohol is forbidden in Islam but still in 56% of Muslim countries, the use of alcohol is completely legal, 16% and 8% are the muslin countries where the use of alcohol is partially and conditionally legal respectively. While only in 16% countries are their where there is complete ban on Alcohol (data of 49 countries).Its mean that beside forbidden in Islam, alcohol is been used in many Islamic countries openly, so this may be the main reason that underage use of alcohol consumption has been increased. Underage alcohol consumption may leads to different physicals and mental problems in young generation. So to control the underage alcohol use strict law should be made to control the spread of underage alcohol use.
Secondary complications of diabetes
Authors: Sohail Ahmad  , Maria Faraz  , Aiman Nayab  , Sana Fatima  , Abida Bibi  , Saqib Ali Rustam  , Wasim Ullah Khan  , Muhammad Umer Farooq Qureshi  , Amjad Ullah Khan  , Kalsoom Begum  , Muhammad Saad Salman  , Ayesha Urooj  , Muhammad Nawaz Khan
Published: October 2024

Diabetes Mellitus is caused due to inconsistency in the secretion of insulin or due to defective action of insulin which can be caused by insufficient insulin or a defective pancreas. Diabetes is growing at an alarming rate with an estimation of 8.4% worldwide. Diabetes has 2 types i.e., TIDM1, in which there is excessive beta cell degradation and as result deficiency of insulin occurs in body and TIDM2 where there is insulin resistance that leads to hyperglycemia. Secondary complications of diabetes include cardiovascular damage, due to different types of glycation products, metabolites, inflammation, and endothelial dysfunction. Thyroid malfunction, as glycemic uncontrolled and insulin requirements is typically related to hyperthyroidism thus occurrence of thyroid disorder may also affect diabetes control. Effect on wound healing, as the inflammation and tissue response to wounds are unusual and endogenous growth factors (EGF) show less activity to the wounds site in diabetic patient. Diabetic neuropathy is the most recurrent complication of the diabetes. Another outcome is oxidative stress which increase with growing diabetes. The growth and development of muscles is considerably decreased along with crucial risk aspect for heart failure in type 1 diabetes. Neural and retinal cells are also affected in diabetic patients causing neuropathy and retinopathy.
Relationship between anthropometric indicators and cardiovascular reactivity in second-year students of the medicine career
Authors: Alejandro Sueiro Garra  , Eiglis Jeanette Bravet Smith  , Claribel Plain Pazos  , Anays Santos Sánchez  , Idalmis Rosabal Armenteros
Published: October 2024

After years of controversy, cardiovascular hyper-reactivity has been proposed as a risk indicator for developing arterial hypertension. At the same time, anthropometric indicators associated with cardiovascular risk have also been proposed. The aim of this study was to characterize cardiovascular activity and reactivity and their relationship with anthropometric indicators in second-year medical students. A random sample of 33 second-year medical students between 19 and 20 years of age was taken. Anthropometric and other variables were studied to characterize cardiovascular activity and reactivity, determining the mean by sex and their respective correlations. Most individuals were normoreactive. There were no significant differences between the sexes or strong relationships between the variables, although the means were higher in the male sex and the greatest association was between mean arterial pressure and body mass index.
Age dependence of iodine to some trace element content ratios in normal thyroid of females investigated by neutron activation and inductively coupled plasma mass spectrometry
Authors: Vladimir Zaichick
Published: October 2024

Thyroid diseases rank second among endocrine disorders, and prevalence of the diseases is higher in the elderly as compared to the younger population. An excess or deficiency of trace element (TE) contents in thyroid play important role in goitro- and carcinogenesis of gland. The correlations between age and thirty-eight TE, including I, as well as between age and I/TE content ratios in normal thyroid of 33 females (age range 3.5-87 years) was investigated by two methods: instrumental neutron activation analysis and inductively coupled plasma mass spectrometry. Our data reveal that the Co, Cs, La, Pb, Rb, Sb, Se, Sn, Tl, and Zn contents increase, while I/Cd, I/Ce, I/Cs, I/La, I/Li, I/Mo, I/Nd, I/Pb, I/Pr, I/Sn, I/Tl, I/Zn content ratios decrease in the normal thyroid of female during a lifespan. Therefore, a goitrogenic and tumorogenic effect of excessive Co, Cs, La, Pb, Rb, Sb, Se, Sn, Tl, and Zn level in the thyroid of old females, as well as a disturbance in intrathyroidal I/Cd, I/Ce, I/Cs, I/La, I/Li, I/Mo, I/Nd, I/Pb, I/Pr, I/Sn, I/Tl, I/Zn relationships with increasing age may be assumed.
Comprehensive Investigation of Demographic, Clinical, and Paraclinical Findings in Hospitalized Children with COVID-19
Authors: Dalili Setila , Hashemian Houman , Sadatmansouri Saeid , Roohbakhsh Paria , Hassanzadeh Rad Afagh , Maleknejad Shohreh
Published: October 2024

Background: Given the differing characteristics of COVID-19 in children compared to adults, there is a need for comprehensive investigations of associated factors in hospitalized children. Objectives: Therefore, we aimed to assess demographic, clinical, and paraclinical findings in hospitalized children with COVID-19. Methods: This study divided hospitalized patients aged three months to 18 years with a positive polymerase chain reaction (PCR) test into two groups: Severe and mild cases. Risk factors, including age, sex, weight, place of residence, clinical symptoms, lung involvement in chest X-rays, and laboratory parameters, were compared between these two groups (mild and severe). Results: The study included 375 hospitalized patients (75 severe and 300 mild cases). The mean age was 7.50 ± 5.57 months. Among the patients, 215 males (58%) were enrolled. Severe cases exhibited a higher frequency of sleepiness (40%) and shortness of breath (41.3%). Clinical signs such as respiratory rate (35 breaths/min) and heart rate (120 bpm) were higher in severe cases, while blood oxygen levels (92%) were lower. Severe cases also showed higher lung involvement in radiographs (85.7%). Among laboratory factors, white blood cell count (8650), neutrophils (6762), and lymphocytes (2090) were higher in severe cases, while alkaline phosphatase (320.5) was lower. Conclusions: Our results highlighted key findings regarding demographic, clinical, and paraclinical features in hospitalized children with COVID-19, offering valuable insights into this novel phenomenon. The study recommends close monitoring of patients with symptoms such as shortness of breath and sleepiness to prevent disease progression to a severe state.
Plyometric Training Enhances Proprioception: A Systematic Review
Authors: Yousefian Molla Razieh , Martins Vieira Taian
Published: October 2024

Context: This systematic review investigated the effects of plyometric exercise interventions on proprioception. Methods: An electronic search was conducted in October 2022 across eight databases: PubMed, Scopus, ProQuest, Science Direct, Google Scholar, DOAJ, IEEE Xplore, and Cochrane. To be included in the review, studies had to meet all the established inclusion criteria. Twelve studies were included in the final analysis, and their quality was assessed using the Downs and Black checklist. Results: The review found that the included studies considered various plyometric training protocols and methods for assessing proprioception. Despite differences in training regimens and assessment metrics, the data consistently showed a positive effect of plyometric training on proprioception. Conclusions: The review concluded that plyometric exercises improve proprioception, regardless of the specific type of training or assessment method used. A primary limitation identified was the scarcity of randomized controlled trials (RCTs) that focus on plyometric exercises and their impact on proprioception.
Cure and Prevention of Cardiovascular Diseases: Herbs for Heart
Authors: Rashki Ghalenoo Sara , Eslammanesh Tahere , Jahantigh Mehdi , Badrloo Fatemeh , Beigomi Maryam , Saeidi Saeide , Mahmoodi Fatemeh
Published: October 2024

Context: Cardiovascular diseases (CVDs) account for 30% of deaths worldwide, making them the leading cause of mortality. Prosthetic valve endocarditis (PVE) is a microbial infection that occurs on the surface of a prosthetic valve or on a surgically reconstructed native heart valve. As age increases, the mortality rate from CVDs also rises. Additionally, gender differences were observed, with the mortality rate from cardiovascular disease being higher in women (51%) compared to men (42%). Methods: In this review study, English keywords such as "medicinal plants," "heart," "cardiomyopathy," and "cinnamaldehyde," as well as Persian keywords related to "medicinal plants" and "cardiovascular," were used in the title and abstract of articles. Databases including PubMed, Science Direct, Web of Science, Google Scholar, Scopus, and the academic database of Jihad Daneshgahi were searched without a time limit until March 2021. Results: The results show that several medicinal plants are known to effectively treat CVDs. Conclusions: The findings of this review indicate that medicinal plants have a positive impact on the treatment of CVDs and can be considered as potential therapeutic options for managing these conditions.
Comparing the Effects of Healthy Lifestyle Education Through Peer Group and mHealth App on Self-esteem in Patients with Diabetes Mellitus: A Randomized Controlled Trial
Authors: Fatahi Azad , Sajadi Seyedeh Azam , Farsi Zahra
Published: October 2024

Background: The increasing prevalence of diabetes mellitus has become a global public health challenge in recent decades. However, disease-related complications can be minimized through innovative educational programs. Objectives: This study aimed to compare the effects of healthy lifestyle education delivered via peer group and the mHealth app on self-esteem in patients with type 2 diabetes mellitus (T2DM). Methods: This three-group randomized controlled trial was conducted in 2022. A total of 135 patients living with T2DM were recruited using purposive sampling from two hospitals in Kermanshah Province, Iran, and then divided into three groups: Peer education, virtual education, and control groups, via replacement randomization. Peer patients with T2DM, previously trained by the researchers, provided education to those in the peer education group in four 35-minute sessions over two days. Simultaneously, patients in the virtual education group were trained by the researchers using the mHealth app, specifically designed for this purpose, in three 1-hour sessions over three days. Data were collected using the Patient Profile Form and the self-reported Rosenberg’s Self-Esteem Scale. The data were analyzed using IBM SPSS Statistics software, employing paired-sample t-tests, chi-square tests, Fisher’s exact tests, and one-way analysis of variance (ANOVA) for comparisons. Results: Before the intervention, there were no significant differences in the self-esteem mean scores between the study groups (P = 0.665). However, post-intervention, the self-esteem scores differed significantly between all groups (P = 0.002). The self-esteem mean scores of patients in the peer education group (100.36 ± 15.9 vs. 106.87 ± 9.08, P = 0.011) and the virtual education group (100.80 ± 24.72 vs. 116.91 ± 10.67, P = 0.018) significantly increased after the intervention, while no significant difference was observed in the control group (106.87 ± 9.08 vs. 105.60 ± 10.84, P = 0.134). Virtual education via the mHealth app was more effective than peer education in improving self-esteem in patients with T2DM. Conclusions: The healthy lifestyle education program delivered through virtual education via the mHealth mobile app led to higher self-esteem among patients with T2DM compared to peer education. It is suggested that future studies investigate the impact of virtual education using mobile-based apps and artificial intelligence capabilities on self-esteem in other patient populations. These results can serve as guidelines for the optimal use of distance education and educational apps for patients with chronic diseases.
Preparation and Formulation of a New Therapeutic Supplement by the Combination of Dendritic Cells and IPI-549 (Eganelisib) for the Treatment of Breast Cancer in BALB/c Mice
Authors: Zangeneh Mohammad Mahdi , Safaralizadeh Reza , Feizi Mohammad A.H. , Delirezh Nowruz , Abbasi Naser
Published: October 2024

: Dendritic cell-based cancer immunotherapy is considered an innovative and promising approach aimed at enhancing the host's immune response to combat tumors. Additionally, IPI-549 has been identified as a first-line therapeutic option for breast cancer treatment. The objective of this research was to develop and formulate a novel therapeutic supplement by combining dendritic cells with IPI-549 (Eganelisib) for breast cancer treatment. The concurrent administration of dendritic cells and IPI-549 (DC-IPI) was utilized to treat mice and elicit immunological responses triggered by vaccination. Tumor regression and overall survival rates were evaluated across five distinct experimental groups. The administration of tumor cell lysate alongside DC-IPI resulted in a significant reduction in tumor growth and a two- to three-fold increase in the survival duration of treated mice. DC-IPI, whether decorated with mannan or not, elicited stronger responses in terms of delayed-type hypersensitivity, lymphocyte proliferation, and CD107a expression. Moreover, our findings demonstrated a reduction in IL-4 production in the supernatants of splenocyte cultures. A significant reduction in BRCA1 mRNA levels was also observed following treatment with DC-IPI. In conclusion, our results suggest that the DC-IPI antigen delivery system exhibited substantial anti-tumor efficacy in a breast cancer mouse model, representing a potential advancement in immunotherapy for human breast cancer.
Effects of Bacteriocin Extracted from Lactobacillus plantarum on Treatment-Resistant Escherichia coli Bacteria Isolated from Humans and Livestock
Authors: Ghasemi Amirlo Mastaneh , Bayat Mansour , Iranbakhsh Alireza , Khalilian Mahshad
Published: October 2024

Background: Lactic acid bacteria (LAB) are among the most common probiotics and play a significant role in promoting health within the human intestinal microbiota. Their protective functions in the intestine include producing antimicrobial compounds, regulating the balance of the intestinal microbiome, and more. Objectives: This study aims to investigate the antimicrobial effects of bacteriocin extracted from Lactobacillus plantarum (L. plantarum) on Escherichia coli (E. coli) strains that cause treatment-resistant urinary tract infections (UTIs) in humans and mastitis in livestock. Methods: Twenty E. coli isolates were obtained from patients with UTIs and cows with mastitis. After culturing the samples on Eosin-methylene blue, McConkey agar, and blood agar, the strains were identified using biochemical tests. Bacteriocin produced by L. plantarum ATCC8014 was extracted, and its concentration was measured using the Bradford method. The antimicrobial effect of the bacteriocin was assessed using the broth microdilution method to determine the minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC). Additionally, the bacteriocin's antimicrobial activity was evaluated through three repetitions of disk diffusion and agar well diffusion methods. Results: The findings revealed that the MIC and MBC concentrations for all human and animal strains were 13.38 μg/mL and 26.76 μg/mL, respectively. Notably, two animal samples (No. 3 and No. 10) and one human sample (No. 6) showed lower MIC and MBC concentrations compared to the other samples and the standard E. coli sample. However, all strains were resistant to bacteriocin in the disk diffusion and agar well diffusion methods. Conclusions: The data indicate a high risk of increasing treatment-resistant E. coli strains in UTIs and livestock, which could pose a significant threat to public and animal health. Therefore, it is essential to further investigate the effects of different bacteriocins on these resistant strains, in conjunction with antibiotic therapies.
Bifidobacterium and the Immune System: A Key Player Against Gastrointestinal Cancers
Authors: Daneshpour Nazanin
Published: October 2024

: Gastrointestinal (GI) cancers pose a significant global health challenge, with rising incidence and mortality rates. Recent studies suggest that gut microbiota, particularly Bifidobacterium, plays a crucial role in modulating immune responses and influencing cancer progression. Understanding how Bifidobacterium interacts with the immune system may offer novel therapeutic strategies. A comprehensive review of recent literature was conducted, focusing on the role of Bifidobacterium in defending against GI cancers. The findings indicate that Bifidobacterium enhances the immune response by promoting regulatory T-cell activity and modulating cytokine production. Specific strains of Bifidobacterium have been shown to induce apoptosis in cancer cells and improve the effectiveness of immunotherapy and chemotherapy. Moreover, alterations in gut microbiota composition, particularly the presence of Bifidobacterium, are associated with reduced tumor growth and improved patient outcomes in various cancer models. In conclusion, Bifidobacterium emerges as a promising candidate for therapeutic interventions in GI cancers, with the potential to enhance immune responses and treatment efficacy. However, further research is needed to elucidate its specific mechanisms of action and to optimize the use of Bifidobacterium strains in clinical settings. Future studies should focus on personalized approaches and the integration of Bifidobacterium into existing cancer treatment protocols to improve patient outcomes.
PROGRAM PENA (PSIKOLOGI EDUKASI NIAT ANTISIPASI): SOSIALISASI UPAYA MITIGASI DAMPAK PERNIKAHAN DINI DI KELURAHAN SUKAGALIH GARUT
Authors: Nurhanah Wanifa , Azmi Taqiyuddin Muhammad , Ilham Pradana Rafiali , Mauludin Syahrul , Dita Hanin , Alfathihah Relianto , Ica Rahmanawati Neng , Hermansyah Risman , Moch Rizqi Nur Ihsan Rafly , Anggraeni Sifa , Perwito Perwito
Published: October 2024

Kuliah Kerja Nyata (KKN) Universitas Muhammadiyah Bandung memberikan kesempatan bagi mahasiswa untuk menerapkan ilmu dalam konteks nyata di masyarakat. Pengabdian oleh Kelompok Reguler 62 melalui Program PENA (Psikologi Edukasi Niat Antisipasi) bertujuan untuk meningkatkan pemahaman masyarakat mengenai dampak pernikahan dini dan kesiapan orang tua. Metode1 yang digunakan meliputi observasi, wawancara, perencanaan, pelaksanaan, dan evaluasi kegiatan. Hasil program menunjukkan antusiasme tinggi dari partisipan, terlihat dari keterlibatan aktif dalam sesi tanya jawab. Respon positif ini mencerminkan komitmen masyarakat untuk belajar dan menerapkan pengetahuan baru. Materi yang disampaikan diintegrasikan dalam kehidupan sehari-hari, menegaskan pentingnya edukasi dalam membentuk kesadaran terhadap pendidikan dan pengembangan anak. Program ini berhasil menciptakan gelombang positif yang mendorong partisipan lebih proaktif menghadapi tantangan pernikahan dini.
Enhancement of The Performance of Machine Learning Algorithms to Rival Deep Learning Algorithms in Predicting Stock Prices.
Authors: Al-Amri Rusul Mansoor , Hadi Ahmed Adnan , Kadhim Mayameen S. , Mousa Ayad Hameed , Matloob Ali Z.K , Hasan Hasanain Flayyih
Published: October 2024

This paper objectives to improve stock market prediction accuracy by training data on sentiment analysis of tweets, overcoming volatility and complexity. Utilizing the Use of natural language processing (NLP) algorithms, the tweet's sentiments were classified into (negative - neutral - and positive). The stock value price was predicted by implementing Machine learning algorithms (KNN, SVM, GBM, LR, DT, RF, EL). Among the techniques of ML, (GBM) achieved the greatest results in terms of accuracy (96%). Its results were compared with the results of a deep learning algorithm that uses the same data where GBM   got better results, and other algorithms showed results (KNN = 55%, SVM=90%, LR=82%, DT=90%, RF=90%, EL = 88%). The results obtained were superior to previous studies.
Restricted visible submodules and fully restricted visible module
Authors: Fiadh Mahmood S. , Shihab Buthyna N. , Issa Ahmed
Published: October 2024

In this article, the concept of Restricted visible (for short; Res-visible) submodule and fully restricted visible (for short fully Res-visible) module have been introduced which are considered the generalizations of the concepts of visible submodules and fully visible module respectively where every visible submodule (fully visible module) is Res-visible submodule (fully Res-visible) module, but the converse is not be true. Examples have been presented illustrating those relationships.
On commutativity of alternative rings with [xy^n x±yx^n y,x]=0
Authors: Salisu Abubakar , Salisu Shu’aibu , Gafai Mustapha Mannir
Published: October 2024

Let R be a n-torsion free with identity 1 ,In this article we investigate and prove the commutativity of alternative ring of the property(p_1 ), (p_2) and(p_3 ) under suitable constraints.
      (p_1 )       [xy^n x±yx^n y,x]=0
      (p_2 )        [xy^n x±yx^n y,y]=0    
      (p_3)     [x(〖xy)〗^2+(〖xy)〗^2 x,x] = 0.   ∀ x,y ∈R.
Advancements in Machine Learning and Deep Learning for Early Diagnosis of Chronic Kidney Diseases: A Comprehensive Review
Authors: Mahmoud Akeel Shaker , Lamouchi Olfa , Belghith Safya
Published: October 2024

Chronic kidney disease (CKD) is a prevalent and debilitating condition worldwide, characterized by progressive loss of kidney function over time. Early detection plays a crucial role in mitigating its impact on patient health and healthcare systems. In recent years, there has been a burgeoning interest in leveraging machine learning (ML) and deep learning (DL) techniques to enhance the early diagnosis of CKD. This comprehensive review explores the advancements in ML and DL models applied to CKD diagnosis, focusing on their ability to integrate diverse data sources including clinical biomarkers, imaging modalities, and patient demographics. Key ML algorithms such as Support Vector Machines (SVM), Random Forests (RF), and neural network architectures like Convolutional Neural Networks (CNNs) and Long Short-Term Memory networks (LSTMs) are examined in the context of their performance in predicting CKD progression, classifying disease stages, and identifying at-risk populations. Furthermore, the review discusses challenges such as data quality, model interpretability, and integration into clinical practice, alongside emerging trends in explainable AI, transfer learning, federated learning, and integration with electronic health records (EHRs). By synthesizing findings from recent literature, this paper aims to provide insights into current methodologies, identify gaps for future research, and underscore the transformative potential of ML and DL in revolutionizing early CKD diagnosis and management..
Enhancing Security and Performance in Vehicular Adhoc Networks: A Machine Learning Approach to Combat Adversarial Attacks
Authors: Habeeb Mustafa Abdulfattah , Khaleel Yahya Layth , Abdulnabi Ahmed Raheem
Published: October 2024

Integrating Machine Learning (ML) techniques into Vehicular Adhoc Networks (VANETs) provides promising features in autonomous driving and ITS applications. In this paper, DSRC data is used to evaluate the effectiveness of different ML models, including Naive Bayes, Random Forest, KNN, and Gradient Boosting, in normal and adversarial scenarios. Since the dataset is relatively imbalanced, the Synthetic Minority Over-sampling Technique (SMOTE) is employed for sampling, and defensive distillation for improving model resilience to adversarial perturbations. From the results, it is clear that models such as Gradient Boosting and Random Forest show high accuracy in both cases, thus showing the potential of using Machine Learning to improve VANET security and reliability when new threats appear. Through this research, the significance of the application of ML in the protection of vehicular communication in order to enhance both traffic safety and flow has been articulated.
Navigating the Challenges of Primary Health Care in Selected Local Government Authorities in Tanzania: Bringing Lipsky’s Theory in Its Requisite Panorama
Authors: Kamugisha Denis , Mchome Agness
Published: October 2024

Introduction
The robust delivery of primary health care (PHC) service is a complex interplay of key stakeholders, including policymakers, citizens, the government, parliamentarians, academics, and street-level bureaucrats - health staff in this context. While each of these players has a stake in ensuring robust PHC delivery, this paper specifically examines the role of street-level bureaucrats (SLBs) in dealing with service delivery challenges in Local Government Authorities (LGAs) in Tanzania. Although the engagement with these actors gained momentum in the decentralization reforms of the 1990s, their contribution has been slow. The question remains: How can SLBs cope with LGAs’ predicaments to enhance service delivery?  Lipsky’s (1980) theory focuses on this contention by proposing that under challenging encounters, SLBs can develop specific patterns of practices to deal with the status quo.
Methods
Data were collected through interviews with policymakers at Mvomero District and Moshi Municipal Councils. To assess the effectiveness of primary health care services attributes such as authority, accountability, and access were closely examined. A thematic review of the literature was conducted to corroborate the findings from the interviews.
Results
The findings indicate that SLBs can cope with complex and challenging situations related to PHC delivery by rationing resources, simplifying their work environment, or exiting from turbulent environments. Although the engagement of SLBs gained momentum during the decentralization reforms of the 1990s, their contribution has been slow. The primary factor hindering their effectiveness is the inability to establish a mutually beneficial relationship between the Central Government and LGAs.
Conclusion
The government's attempts to control SLBs' behaviors, including limiting their intrinsic and extrinsic motivation, undermine their client responsiveness. Empowering SLBs and fostering a more collaborative relationship between the central government and LGAs is essential to enhance PHC delivery.
Implementasi Metode Pembelajaran Mufrodat pada Pelajaran Bahasa Arab di SMP Islam Al Fadli Medan
Authors: Ummaya Dwi Sabrina , Wirian Oktrigana
Published: October 2024

This study aims to analyze the implementation of vocabulary learning methods in Arabic language instruction at SMP Islam Al Fadli Medan. Using a descriptive qualitative approach, data were collected through interviews, observations, and document analysis from five Arabic language teachers. The findings indicate that teachers employ interactive methods, such as language games, to enhance student interest. Additionally, the integration of technology, like digital learning applications, aids students in better remembering vocabulary. However, challenges such as limited resources and diverse student abilities persist. Teachers need to adjust methods to accommodate all students' needs and enhance professional training for effective teaching. In conclusion, interactive methods in vocabulary instruction have significant potential to improve the quality of Arabic language teaching. This research is expected to serve as a reference for further development in Arabic teaching at the secondary school level.
The Impact of Tourists’ Sensation Seeking in Space Tourism on Their Expectation of Experience Within the Postmodern Tourism Paradigm
Authors: Açıksözlü Övgü , Varol İlbey
Published: October 2024

Space tourism, within the post-modern tourism paradigm, emerges as an alternative tourism type in line with new information about space. The aim of research is to determine the impact of potential tourists' sensation seeking tendencies on their expectations of experiencing space tourism, which is expected to be a frequent activity in the future. To achieve this objective, a quantitative research method was used. The research was conducted on potential tourists living in Turkey. Data were collected through an online survey from potential tourists reached by convenience sampling, a non-random sampling method. This research is limited to the information obtained as a result of the resources available after a literature review in the field. finding of the study is that sensation seeking decreases as age increases. It is observed that individuals in younger age groups have a higher level of sensation seeking. A positive linear relationship is observed between the dimension of sensation seeking and the dependent variable of expectation of experience. The use of new technologies is often linked to hedonic motivation. Tourists' sensation seeking trait significantly influences their expectation of experience in space tourism. The study concludes that tourists' sensation seeking impacts their expectation of experience in space tourism by 37%. Space tourism has emerged as a new and rising field in recent years. The tendencies of potential tourists in this field can shape their future space experiences. In this sense, this study, which has a unique research area, can also provide important information for the marketing strategies to be developed by space tourism companies.
İrlanda’nın Turizm Politikası ve Akıllı Turizm Uygulamaları
Authors: Mehter Aykın Sibel
Published: October 2024

Turizm, İrlanda’nın sürdürülebilir kalkınmasında önemli bir rol üstlenmektedir. Dublin kentinin 2024 yılında “Avrupa Akıllı Turizm Başkenti” ilan edilmesi tüm dikkatleri İrlanda turizmine çevirmiştir. Dublin ve benzeri akıllı turizm destinasyonlarındaki başarılı uygulamaların derlenmesi, hizmet sunum şeklini güncel gelişmeler doğrultusunda yeniden yapılandırmak isteyen destinasyonlar için önem arz etmektedir. Bu çalışmanın amacı; Dublin’de izlenen başarılı uygulamaları derlemek suretiyle, Avrupa Akıllı Turizm Başkenti unvanını almak isteyen destinasyonlar için bir yol haritası sağlamaktır. Bu amaç doğrultusunda, nitel araştırma yöntemleri arasında sıralan durum çalışması yöntemine başvurulmuştur. Çalışmada ilk olarak İrlanda’nın Turizm Politikası, ardından Dublin Bölgesel Turizm Gelişim Stratejisi (2023-2027) açıklanmıştır. Son olarak, akıllı turizm destinasyonlarının genel olarak işleyişi Dublin örneklemi üzerinden incelenerek, Dublin kentini Avrupa’da örnek gösterilen bir akıllı turizm destinasyonu yapan unsurlar sırasıyla “erişilebilirlik”, “sürdürülebilirlik”, “dijitalleşme”, “kültürel miras ve yaratıcılık” olmak üzere dört parametre çerçevesinde analiz edilmiştir. Elde edilen bulgulardan hareketle “Night-time economy support scheme”, Coastal Mobility Route”, “Your Dublin, Your Voice”, “Dublin Discovery Trails” gibi uygulamaların emsal alınabileceği sonucuna varılmıştır.
Turizm Araştırmalarında En Çok Atıf Alan 100 Makalenin Bibliyometrik Değerlendirmesi
Authors: Özdemir Sibel
Published: October 2024

Bu çalışmanın amacı Türkiye kaynaklı turizm alanında yayınlanmış ve Web of Science (WoS) veri tabanında en fazla atıf alan ilk 100 makalenin analizi gerçekleştirmektir. En çok atıf yapılan makalelerin analizi, bilim dalındaki araştırma eğilimleri ve bilimsel ilerleme hakkında önemli bilgiler sunarak literatürdeki eksiklikleri gidermeye yardımcı olabilir. Bu nedenle, bu çalışma alanın mevcut durumunu anlamak ve gelecek araştırmalara yön vermek açısından değerlidir. Araştırmada WoS veri tabanında “Turkey and Tourism” anahtar kelimeleriyle 1989-2024 tarihleri arasında yayınlanan Türkiye kaynaklı makalelere ulaşılmıştır. Analiz sonucunda, en fazla atıf alan ilk 100 makalenin yayın yılı, yayınlandığı dergi, derginin etki faktörü (IF), yayının atıf sayısı ve yıllık atıf ortalaması belirlenmiştir. 1989 yılından 12.06.2024 tarihine kadar Türkiye’den turizm alanında literatüre kazandırılan toplam yayın sayısı 2.223’tür. Bu makalelere yapılan toplam atıf sayısı 98.806 olup, kendine atıf gösterimleri çıkarıldığında bu sayı 88.639’dur. Türkiye’nin yayın başına düşen atıf ortalaması ise 17.1’dir. En fazla atıf alan makale ise 838 atıf ile Yüksel vd., (2010) tarafından yazılan ve “Tourism Management” dergisinde yayınlanan “Destination attachment: Effects on customer satisfaction and cognitive, affective and conative loyalty” isimli çalışmadır.Sonuç olarak Türkiye’de WoS veri tabanında yer alan tüm indekslerde yayın yapma konusunda diğer ülkelere göre oldukça geç başlanmış olmasına rağmen kısa sürede gösterilen performans sayesinde önemli bir ilerleme kaydedilmiştir. Bu durum, Türkiye’nin bilimsel araştırma ve yayıncılık alanındaki potansiyelini ve yetkinliğini göstermektedir. Gelecekte bu performansın daha da artırılarak daha yüksek seviyelere ulaşılması beklenmektedir. Bu süreçte araştırma ve yayıncılık faaliyetlerinin desteklenmesi, uluslararası işbirliklerinin güçlendirilmesi ve yenilikçi araştırmalara odaklanılması büyük önem taşımaktadır.