bluuebunny/crossref_metadata_2025 huggingface dataset:
Effectiveness of Methotrexate Versus Cyclosporine in the Management of Moderate to Severe Atopic Dermatitis- Meta-Analysis of Randomised Controlled Trials
Authors: Sadiq Malik Sakina , Anwar Ayesha , Akhtar Aisha , Yousaf Farrah , Bashir Uzma , Malik Saadia
Published: May 2024

Objective: To compare the effectiveness of Methotrexate (MTX) versus Cyclosporine (CyA) in the patients of moderate to severe atopic dermatitis (AD)
Study Design: Systematic review and Meta-analysis.
Methodology: After formulating our research team and PICO question rationally, a search strategy and literature search were carried out as per Cochrane guidelines. Full-text articles were retrieved after title and abstract screening per our inclusion criteria. The whole search process was documented in the form of a PRISMA flow chart. Team members made and filed data extraction sheets, and qualitative data synthesis was performed. Afterwards, a meta-analysis was carried out, involving a total of 03 randomized controlled trials. Revman was used to process the continuous and dichotomous data collected for our outcomes. RoB 2 was used to assess the risk of bias in the included studies. Grade pro-GDT was used to summarize the findings in the table.
Results: Pooled results from 3 RCTs showed that CyA in a 2.5mg/kg dose is better than MTX @0.4 mg/kg/week at 12 weeks in AD. At follow-up, MTX maintains better disease control, i.e., until 24 weeks post-treatment. MTX has a better safety profile than CyA.
Conclusion: MTX and CyA are both effective drugs for moderate to severe AD, but they have their pros and cons.
Relationship of Plasma Osmolarity within Hospital Mortality in Patients with Acute Pulmonary Embolism
Authors: Anwer Ayesha , Khurshid Muhammad Utra  , Tariq Maria , Marriam Hussain  , Huma Zafar  , Mahboob Meer
Published: May 2024

Objective: To determine the relationship between plasma osmolarity and within-hospital mortality in patients with acute pulmonary embolism.
Study Design: Cross-sectional analytical study.
Place and Duration of Study: Pak-Emirates Military Hospital, Rawalpindi Pakistan, Jan 2019 to Jan 2020.
Methodology: The sample population consisted of 210 patients diagnosed with pulmonary embolism and admitted to the pulmonology unit at our hospital during the study period. Patients underwent all routine investigations, including plasma osmolarity, and were followed up until discharge or death.
Results: Out of 210 patients with pulmonary embolism admitted to the pulmonology unit during the study period, 194 (92.4%) were discharged as they had complete recovery, while 16(7.6%) died during their stay at the hospital despite vigorous management. After applying the inferential statistics, it was found that patients with high plasma osmolarity and low systolic blood pressure (SBP) at presentation had a significant association with in-hospital mortality among the patients suffering from pulmonary embolism.Conclusion: Pulmonary embolism emerged as a condition with considerable in-hospital mortality in our study. Increased plasma osmolarity and low systolic blood pressure (SBP) at presentation emerged as strong factors associated with increased mortality among our study participants.
Soft Skills Awareness Among General Dental Practitioners, Residents and Specialists
Authors: Qayyum Akhtar  , Imran Hajra , Khalid Mahmood  , Nadeem Ahmed  , Nasir Jamal Baig  , Fatima Nawaz
Published: May 2024

Objective: To assess the awareness level and need perception of soft skills among general dental practitioners (GDPs), dental residents and specialists.
Study Design: Mixed method study
Place and Duration of Study: Armed Forces Institute of Dentistry (AFID), Rawalpindi and 28 Military Dental Centre (28 MDC), Lahore Pakistan, from Mar to Sep 2020.
Methodology: A mixed method study research design with descriptive and explorative strategies was used to formulate a survey questionnaire and in-depth interviews for participants aged 24-60, medically fit, with a minimum of one year of practical experience, and willing to participate.
Results: 136(74.37%) knew the basic concept of soft skills being non-technical skills, as they classified their awareness of soft skills as ‘Partially Aware’. Only 9(4.91%) responded as being ‘Expert’ in this topic. 38(20.76%) were totally ‘Unaware’. Regarding the need for teaching soft skills to dental students, 171(93.44%) participants wanted soft skills teaching to begin in the undergraduate years.
Conclusion: Participating dental professionals understood the basic concept of soft skills but needed a formal knowledge of what it entails. There is a dire need for the dental professional to have a satisfactory knowledge of soft skills to improve their overall job performance.
Patterns of Musculoskeletal Injuries Secondary to Strenuous Physical Training, Assessed on Magnetic Resonance Imaging
Authors: Zafar Saerah Iffat , Saeed Humza bin , Asif Muhammad , Anwer Adnan , Syed Hassan Mahmud
Published: May 2024

Objective: To determine the pattern of musculoskeletal injuries incurred by physical training in patients and training personnel as assessed by Magnetic Resonance Imaging.
Study Design: Cross-sectional study.
Place and Duration of Study: Combined Military Hospital, Abbottabad Pakistan, from Sep 2021 to Jun 2022.
Methodology: Patients from local institutes with rigorous training schedules for their students referred to the Radiology Department of Combined Military Hospital, Abbottabad for musculoskeletal Magnetic Resonance Imaging were included in the study. Data regarding duration of symptoms, and Magnetic Resonance Imaging I findings, site, nature and grading of injury, laterality, and associated features, were recorded for each patient. The nature of injuries, their grading, frequency, and relationship among different types of injuries were assessed.
Results: Stress fracture of the lower limbs was the most common injury associated with physical training, with 28.6% (n=38/105) presenting mostly in the second half of training. Maximum patients presented with the highest grade of stress fractures; it was more common in females, seen in 90% at the time of presentation (n=9/10). Anterior cruciate ligament injury of the knee was the second most common injury (20%-n=21/105). Most patients with meniscal injuries had anterior cruciate ligament injury.
Conclusion: Stress fractures and knee ligamentous injuries are the most common physical training-related injuries. The majority of female patients had stress fractures at their first presentation. Although less common, meniscal injuries were significantly associated with anterior cruciate ligament injury of the knee.
Testing Artificial Intelligence Models for Solar Cook Stove Performance Prediction: Case Study of Agadez, Niger
Authors: Danjuma Abubakar Maiwada , Kawu Sagir Jibrin , Abba Bashir  , Maiwada Umar Danjuma
Published: May 2024

Solar cook stoves are becoming an increasingly popular and sustainable option for cooking food, especially in areas where access to traditional cooking fuels is limited or where deforestation is a concern. However, the performance of solar cook stoves can be affected by various factors such as weather conditions, time of day, and geographic location. The developed stove was tested in Agadez, Niger Republic on 9th December 2022, in the cold season, and obtained a temperature of 76.4 ◦C with radiation at noon of 727 W/m2 and a total daily radiation of 5044 W/m2. To improve the performance of solar cook stoves, researchers have turned to artificial intelligence (AI) based models, specifically artificial neural networks (ANN), for prediction. In this research, ANN was adopted to predict the performance of solar cook stoves. The ANN model employed the use of feed-forward back propagation as network type, trainlm as a training function, learngdm as learning function, and Mean Square Error (MSE) as performance function, best result was obtained with 2 layers, 10 neurons in the hidden layer and tansig as a transfer function. For the algorithms, Levenberg-Marrquadt was used in training. The experimental data were divided by 70% for training and 30% for testing. Based on the various interpretations provided, it appears that the AI based models for the prediction of Solar Cook Stove performance have shown promising results. In the sensitivity analyses, M11 was the function for the Test Temperature, and M12 was for Test Temperature and Solar Radiation. Model M11: Training Phase: MSE = 0.1, RMSE = 0.2, Testing Phase: MSE = 0.05, RMSE = 0.15, Model M12, Training Phase: MSE = 0.05, Testing Phase: MSE = 0.05, RMSE= 0.1, RMSE = 0.45, Model M12 has a higher RMSE during testing compared to Model M11, indicating lower predictive accuracy. The scatter plots of observed versus predicted values for both M11 and M12 indicate a fairly strong positive correlation. Furthermore, the radar plots of goodness of fit (measured by R-squared values) suggest that both models perform relatively well, with M12 showing a higher degree of fit compared to M11. The error of fit graph, presented as a bar plot, also shows that the testing phase for M12 is significantly more accurate, with a much lower mean squared error (MSE) and root mean squared error (RMSE) compared to M11.
Optimizing 2-Nitrophenol and Chromium Adsorption from Water with Aluminium Oxide via Response Surface Methodology
Authors: Asmaly Hamza A. , Kabbashi Nassereldeen , Al-Khatib Ma’an Fahmi , Alam Md Zahangir , Khairuddin N.F.M
Published: May 2024

The study explored the efficacy of an innovative adsorbent crafted from carbon nanotubes and carbon nano fibbers integrated with aluminium oxide, in purging water solutions of both organic (2-Nitrophenol) and inorganic (Chromium III) contaminants. The study refined the aluminium impregnation method to boost the adsorption efficiency of CNAs/Al2O3 in removing certain pollutants. Through a central composite design (CCD) strategy, optimal adsorption conditions were determined. The most effective removal of 2-NPh (2-Nitrophenol) and Cr3+ (Chromium III) occurred with CNAs/Al2O3 at an 18% impregnation ratio, after 3 hours of ultrasonication and calcination Temperature at 300 oC. This technique yielded adsorption capacities of 82.02 mg/g for 2-NPh and 96.57 mg/g for Cr3+. The aluminium content in the adsorbents, prepared under these specified conditions, was verified, and measured using EDX (Energy Dispersive X-ray) analysis. Further, BET (Brunauer-Emmett-Teller) measurements revealed the impact of aluminium ratios on the surface area of CNAs/Al2O3, where an 18 % aluminium ratio led to a surface area of 176 m2/g, diminishing to 125 m2/g and 110 m2/g for 20% and 22% aluminium ratios, respectively. The Predicted adsorption capacity for 2-NPh was estimated at 83.154 mg/g, aligning closely with the observed 82.02 mg/g, while the estimate for Cr3+ at 97.80 mg/g nearly matched the actual 96.57 mg/g. A validation study evaluated the predicted adsorption capacities for both contaminants, finding that the actual capacities were 86.79 mg/g for 2-NPh and 99.79 mg/g for Cr3+. The study noted an acceptable error margin in optimal adsorption capacity of about 4.5% for 2-NPh and 2% for Cr3+. The optimized integration of metal oxides with CNAs through impregnation significantly enhances their efficacy in removing pollutants, particularly when aluminium oxide is used to boost their capacity for purifying wastewater by extracting both organic and heavy metal contaminants.
PREDIKSI DINI LIVER CIRRHOSIS UNTUK KESEHATAN HATI MENGGUNAKAN METODE MACHINE LEARNING.
Authors: Mardewi Mardewi
Published: May 2024

Penelitian ini bertujuan untuk mengembangkan model prediksi risiko liver cirrhosis menggunakan tiga pendekatan machine learning, yaitu Decision Tree, Logistic Regression, dan Support Vector Machine (SVM). Data klinis dan laboratorium dari pasien dewasa yang didiagnosis dengan atau berisiko terkena liver cirrhosis digunakan dalam analisis retrospektif. Logistic Regression menunjukkan akurasi tertinggi dengan 71.5%, diikuti oleh SVM dengan 72.6%, dan Decision Tree dengan 66.7%. Meskipun akurasi yang berbeda, masing-masing model memberikan wawasan unik dalam prediksi risiko liver cirrhosis. Hasil ini memberikan dasar untuk pengembangan model prediksi yang lebih canggih, mendukung praktik klinis, dan meningkatkan manajemen penyakit hati. Evaluasi lebih lanjut dan peningkatan akurasi melalui pemrosesan data yang lebih cermat menjadi perhatian selanjutnya. Kesimpulannya, model-machine learning memiliki potensi besar dalam mendukung pengambilan keputusan klinis dan meningkatkan pemahaman tentang risiko liver cirrhosis.
Rancang Bangun Sistem Informasi Tugas Akhir menggunakan Model, View dan Controller
Authors: Panggabean Benny Leonardo Enrico , Watty Rimalia  , Imran Iskandar  , Pijai Pijai
Published: May 2024

Proses pelaksanaan mata kuliah tugas akhir di Program Studi Ilmu Komputer Universitas Pancasakti Makassar masih menggunakan sistem manual yaitu mahasiswa harus mendatangi Sekretaris Program Studi untuk menyerahkan berkas-berkas syarat pelaksanaan tugas akhir sehingga membutuhkan waktu yang relatif lama dan kurang efisien, selain itu karena sistem ini masih bersifat “paper based” Sekretaris Program Studi cukup kesulitan dalam mengorganisir  berkas-berkas tugas akhir yang dapat mengakibatkan berkas tersebut terselip, rusak bahkan hilang dan juga cukup kesulitan dalam menjadwalkan kegiatan tugas akhir mahasiswa. Dalam penelitian ini akan dirancang sistem informasi tugas akhir yang dapat digunakan untuk mengatasi masalah-masalah tersebut. Hasil dari penelitian ini adalah sistem informasi tugas akhir mahasiswa pada Program Studi Ilmu Komputer Universitas Pancasakti Makassar. Dengan adanya sistem informasi tugas akhir mahasiswa ini, Sekretaris Program Studi selaku pihak yang mengelola kegiatan tugas akhir mahasiswa sangat terbantu sekali, karena sistem ini dapat meringankan dan mengurangi beban pekerjaan Sekretaris Program Studi yang dimana sekitar 50% beban pekerjaan tersebut sepenuhnya dilimpahkan kepada mahasiswa yang sedang melaksanakan tugas akhir.
Environmental Conservation Costs and Performance of Manufacturing Companies Listed in Nigeria
Authors: JONATHAN Migyl Nnvin , FOLAJIMI Festus Adegbie
Published: May 2024

The performance of manufacturing companies has become something worrisome as performance has been on the decline over years from Accounting literature. Nigerian businesses do not have access to environmental accounting guidelines or pollution cost guidelines for communicating with various stakeholder groups; however, the government has made efforts to enact laws to improve environmental sustainability in Nigeria. This study investigated the effect of Environmental Conservation Cost on financial performance of listed manufacturing firms in Nigeria. An ex-post facto research design was used in the study. The study population consisted of 35 consumer firms as of December 31, 2021. A sample size of 10 firms was chosen using a purposive sampling technique for the 10 years (2012-2021). Data were sourced from annual reports, and their accuracy and reliability were certified by external auditors. Data were analyzed using descriptive and inferential (multiple regression) statistics at a 0.05 level of significance. The study found that Environmental Conservation Cost had a significant effect on Earnings per Share and Net Profit Margin of listed firms respectively (Adj R2 = 0.766, F- Stat (5,96) = 35.460, p < 0.05); (Adj R2 = 0.813, F- Stat (5,96) = 82.153, p < 0.05). The study concluded that Environmental Conservation Costs had a significant effect on the financial performance of listed manufacturing firms in Nigeria. The study recommended that the Management of firms should allocate more resources to training and engagement cost to foster innovation, improve operational efficiency, stay competitive in the market and experience improved financial performance.
Rancang Bangun Sistem Informasi Persebaran Lokasi Industri Manufaktur Sulawesi Tenggara Berbasis Website
Authors: Hairul Nisa Fadila , Thamrin Muh. Bayu Aidil Adhalik , Jaya Laode Muh. Golok , Isnawaty Isnawaty
Published: May 2024

Di era saat ini, perkembangan mengenai pembangunan sebuah industri atau pabrik di Indonesia semakin berkembangan dan terus mengalami kenaikan. Akan tetapi, informasi mengenai industri tersebut tidak terekspos dengan baik sehingga masyarakat masih awam akan hal tersebut. Untuk mengatasi masalah tersebut dilakukan sebuah penelitian untuk menyebarluaskan persebaran lokasi industri manufaktur yang ada di Sulawesi Tenggara berbasis website dengan menggunakan metode waterfall dan pemodelan UML (Unified Modeling Language), sehingga masyarakat dengan mudah mengakses dan mengetahui sebaran lokasi industri manufaktur yang ada di Sulawesi Tenggara berdasarkan Kabupaten/Kota, Kecamatan, maupun desa. Serta mengetahui hasil produksi secara detail dari setiap industri manufaktur yang ada.
Pengaruh Kesadaran Wajib Pajak, Pelayanan Fiskus, Sosialisasi Perpajakan, dan Tingkat Pendapatan Terhadap Kepatuhan Wajib Pajak UMKM di Kabupaten Kendal
Authors: Parasdya Pandhu Andanawarih  , Khudoifah
Published: May 2024

Penelitian ini bertujuan untuk menguji pengaruh kesadaran wajib pajak, pelayanan fiskus, sosialisasi perpajakan dan tingkat pendapatan terhadap kepatuhan wajib pajak UMKM di Kabupaten Kendal. Berdasarkan Theory of Planned Behavior (TPB) penelitian ini memiliki dugaan bahwa dari keempat variable independen secara parsial memiliki pengaruh positif terhadap kepatuhan wajib pajak UMKM di Kabupaten Kendal.
Data dalam penelitian ini dikumpulkan dengan menyebarkan kuesioner pada wajib pajak UMKM yang terdaftar di KP2KP Kendal guna untuk menganalisis variable kesadaran wajib pajak, pelayanan fiskus, sosialisasi perpajakan, dan tingkat pendapatan dalam meningkatkan kepatuhan wajib pajak UMKM di Kabupaten Kendal. Dalam penelitian ini menggunakan alat analisis berupa software IBM SPSS Statistic 26. Teknik penentuan sampel menggunakan teknik acindental sampling dengan 90 responden wajib pajak UMKM sebagai sampel dalam penelitian ini.
Hasil penelitian secara parsial menunjukkan bahwa kesadaran wajib pajak dan sosialisasi perpajakan berpengaruh positif dan signifikan terhadap kepatuhan wajib pajak UMKM. Sedangkan pelayanan fiskus dan tingkat pendapatan tidak berpengaruh signifikan terhadap kepatuhan wajib pajak UMKM.
Pengaruh Stres Kerja, Beban Kerja, dan Kompensasi Terhadap Kinerja Guru dan Karyawan SMK Diponegoro Banyu Putih
Authors: Vita Inka Nuromavita
Published: May 2024

The purpose of this study was to analyze work stress, workload, and compensation on the performance of teachers and employees SMK Diponegoro Banyu putih. This sampling method uses a random sample technique and the number of samples  in this study is 100 teachers an employees. The data used is primary data. Data obtained directly ftom SMK Diponegoro Banyu putih through the quesionnaire method. The primary data was then processed an analized using SPSS  The collected data was then analyzed using multiple linier regression. The result of this study indicate that work stress has a positive and significant effect on performance,  workload has a positive and significant effect on performance, Compensation has a positive and significant effect on performance
Social media as a driver for local development: an entrepreneurial perspective from Ecuador
Authors: Flores Jaen Mireya Patricia , Mora Carpio Wendy Tamara , Landaburu Mendoza Jimmy Rafael , Elizondo Saltos Adolfo
Published: May 2024

This research seeks to analyze the positive effect of social networks in starting a small business. According to this paper, social networks is of great help, especially for the entrepreneur, because of their wide reach and ease of dissemination. A potential customer can be transformed by this impact, becoming a real consumer, just by the impression of social networks. This article describes social networks and their environment and defines them as a tool that helps to reduce the risk of failure in ventures. Its usefulness is especially noted at the time of the first investment, due to its low cost compared to traditional means of communication. For this purpose, two case studies were conducted on entrepreneurship in the artisanal food sector in the city of Guayaquil, showing an improvement in the profitability of these businesses thanks to the help of social networks. Additionally, consumers were consulted through a survey to determine the use and importance given to small food businesses through social networks and the impact they have. In general, the results indicate that: 1) consumers in the Ecuadorian context have a propensity to use social networks to follow small food businesses; 2) consumers have or receive some influence from posts and promotions to make their purchasing decisions; 3) social networks are a tool with potential positive impact to promote small businesses, which in turn, generate local economic development for communities. This positive impact occurs even if there is no professional use strategy.
Centering the Scholarly Practitioner Within the EdD
Authors: Flood Lee D.
Published: May 2024

The Educational Doctorate (EdD) is designed to meet the needs of current practitioners who aim to expand their professional expertise by leveraging deep knowledge and research methods to address specific and contextualized problems of practice. This approach centers on developing scholarly practitioners that are equipped with the skills necessary to bridge the knowledge-to-doing gap and contribute meaningfully to school improvement (CPED, 2020; Donovan, 2013; Hochbein & Perry, 2013; Jackson & Sun, 2022; Lewis et al., 2020; Perry, Zambo, & Crow, 2020). To achieve this goal, program faculty and their respective thinking must be concerned with and oriented to the scholarly practitioner and their unique positionality. This paper explores two considerations related to centering scholarly practitioners and their impact to illustrate the possibilities inherent within EdD programs.
Rough Set Theory and its Applications in Data Mining
Authors: P. O. Ogba , M. Bello
Published: May 2024

One method for handling imprecise, ambiguous, and unclear data is rough set theory. Rough set theory offers a practical method for making decisions during data extraction. The practice of analyzing vast amounts of data to extract useful information from a larger collection of raw data is known as data mining. This paper discusses consistent data with rough set theory, covering blocks of attribute-value pairs, information table reductions, decision tables, and indiscernibility relations. It also explains the basics of rough set theory with a focus on applications to data mining. Additionally, rule induction algorithms are explained. The rough set theory for inconsistent data is then introduced, containing certain and potential rule sets along with lower and upper approximations. Finally, a presentation and explanation of rough set theory to incomplete data is given. This includes characteristic sets, characteristic relations, and blocks of attribute-value pairs.
Stock Market Integration among Trading Partners
Authors: A. Eronimus , Verma Reetika
Published: May 2024

This study makes an attempt to analyse the dynamics of integrating relationship shared by Indian and Chinese stock market for the period ranging from January 01, 2002 to June 30, 2021. Prominent stock indices namely BSE SENSEX index of Bombay Stock Exchange Limited, India and Shanghai Stock Exchange Composite Index (SCI) of Shanghai Stock Exchange Limited, China were considered. Johansen Cointegration test was used to analyse the long term integration shared by the stock markets. Granger causality test was employed to know the causal relation shared by the stock markets. Presence of long term integration and unidirectional causal relation between the stock markets was found. It may be inferred that investment diversification among these markets may not provide fruitful returns to the investors in long run. Presence of causality from BSESENSEX to SCI and absence of causality from SCI to BSESENSEX suggests significant flow of information from Indian stock market to the Chinese stock market but not vice-versa. Findings of the study also suggests that extent of connectedness shared by the Indian and Chinese market does not vary too much with time. The findings revealed that although the financial markets of trading partners share significant integration but the intensity of trade does not impact the extent of financial linkages shared by the nations. These implications may provide significant insights to the investors, fund’s managers, policymakers and other market players.
Analyzing The Role of Digital Marketing in Growth of E-Commerce in India: A Multiple Holistic Approach
Authors: Madhukumar. B Dr. Rajalakshmi Anantharaman, Dr. Badhusha M H N, , Dr. Kumar Rahul Dr. Subin Thomas, Dr. Prem Latha Soundarraj,
Published: May 2024

The study aim to explore and analyze the multifaceted relationship between digital marketing and e-commerce growth in the Indian context, considering various dimensions such as consumer behavior, technological advancements, regulatory frameworks, and market dynamics. However, while digital marketing is widely acknowledged as a critical driver of e-commerce growth, there exists a gap in understanding the specific mechanisms through which digital marketing influences the expansion of the e-commerce sector in India. The primary ways in which digital marketing influences consumer behavior in India is through personalized advertising and targeted messaging The role of digital marketing in driving the growth of e-commerce in India is a multifaceted phenomenon that requires in-depth analysis across various dimensions. By examining the impact of digital marketing on consumer behavior, technological innovations, regulatory frameworks, and market dynamics, this study aims to provide valuable insights for businesses, policymakers, and researchers seeking to understand and leverage the power of digital marketing in the Indian e-commerce landscape.
Rise of Artificial Intelligence in Business and Industry
Authors: Dr. Rohit Markan Dr Subhadra P.S, Dr. A. Kalaivani, , M. Rajalakshmi Ramesh Kumar, Dr Sundarapandiyan Natarajan,
Published: May 2024

The integration of artificial intelligence (AI) into business and industry is catalyzing a paradigm shift in how organizations operate, innovate, and interact with stakeholders. This abstract explores the multifaceted implications of AI across various domains, highlighting its role in automation, predictive analytics, personalized customer experiences, supply chain optimization, enhanced decision-making, natural language processing, product innovation, risk management, fraud detection, healthcare advancements, and workforce augmentation. By leveraging AI technologies, businesses can automate repetitive tasks, anticipate trends, tailor experiences, optimize operations, mitigate risks, and foster innovation. However, the widespread adoption of AI also poses ethical and societal challenges, including concerns about job displacement, data privacy, and algorithmic bias. Therefore, a holistic approach that balances technological advancement with ethical considerations is essential to harness the full potential of AI while ensuring its responsible and equitable deployment in business and industry.
Development of Syzygium aromaticum (L.) essential oil encapsulates by ionic gelification and evaluation of antioxidant activity
Authors: Mergulhão Naianny , Bulhões Laisa Carolina , Silva Valdemir , Rodrigues Ilza Fernanda , Basílio Júnior Irinaldo , Araújo Júnior João
Published: May 2024

The objective of this work was to develop a product capable of protecting Syzygium aromaticum (clove) essential oil against high volatility. Clove oil (CEO) was encapsulated in alginate by ionic gelation with subsequent freeze-drying. Characterization was carried out by GC/MS, TGA/DSC and antioxidant (DPPH), and total phenol (Folin-Ciocalteau) analysis. Eugenol was the majority (81.5%) and the encapsulation efficiency varied between 14.0%+0.96 (F1: 1.0% alginate) and 9.8%+0.35 (F2: 2.0% alginate) in wet encapsulates, and 23.5%+0.14 (LF1: 1.0% alginate) and 16.9%+0.16 (LF2: 2.0% alginate) in freeze-dried encapsulates. The total phenol content reached 714.8+0.97 EAG g-1 in LF1, with strong inhibition of the DPPH radical (71.4%). Freeze-drying provided a higher percentage of active ingredients per gram of encapsulated and it was possible to identify high thermal stability in LF1 (mass loss: 81.8%; 258.9 °C) compared to wet encapsulates (mass loss: 86.5%; 65.8°C). The use of the lowest concentration of alginate seems to have been favorable. In this way, the accessible technology used allows preserving the content and properties of the CEO, offering a basis for new encapsulated research.
Seroepidemiological survey for visceral leishmaniasis in dogs from an unaffected municipality of RS in the period 2021-2024
Authors: Dias Tábata , Figueiredo Fabiano , Gonçalves Gustavo , De Freitas Vitória , Rodrigues Maria Eduarda , Zibetti Francesca , Cleff Marlete
Published: May 2024

Canine visceral leishmaniasis (CVL) is a vector-borne parasitic disease that is expanding geographically, with autochthonous cases recorded in Rio Grande do Sul (RS) since 2008. Indigenous areas such as the municipalities of Pelotas, Rio Grande and Bagé are not part of active epidemiological surveillance for CVL, but the region has predisposing factors for the spread of the disease. The aim of this study was therefore to carry out a seroepidemiological survey of serum samples from dogs treated at a veterinary hospital in a disease-free area. The survey took place over a three-year period, following the current Ministry of Health (MoH) protocol. A total of 2,365 samples from asymptomatic animals were tested, of which 0.8% were seroreactive in the Dual Path Platform (DPP®) screening test. Of the samples that reacted to the DPP®, 37% were seroreactive to the ELISA (Bio-Manguinhos®), one was inconclusive (5.2%), 42% were negative and in 21% no confirmatory test was carried out. It can be concluded that Pelotas, Rio Grande and Bagé, the places of residence of seroreagent animals and CVL-free municipalities, have seroreagent dogs circulating according to the current MH protocol and require attention from epidemiological surveillance.
Das teias aos emaranhados da relação público-privado na educação brasileira: em tela o discurso “Todos pela Educação”
Authors: Alves Catarina Messias , Flores Patric Paludett , Souza Vânia de Fátima Matias de
Published: May 2024

Dos campos de disputa ideológico travados a partir da Reforma de Estado no Brasil nos anos de 1990; os anos subsequentes, marcaram a educação como um cenário constituído pela geopolítica sustentada nos ideários neoliberais orquestradas pela reformulação das políticas sociais. Os paradigmas nas pesquisas acadêmicas acerca da inserção da esfera privada nas políticas educacionais caminham a demosntrar as novas configurações neoliberais na dinâmica competitiva para readequação das políticas educacionais as entidades globais de influência e suas normativas. Nos ensejos das controvérsias destas relações a educação reconfigura-se para se tornar mercadoria, assim como os estudantes e seu processo formativo. Trilhou-se como caminhos, olhares sob os documentos, “Educação Já” e “Políticas Pedagógicas: recomendações de políticas pedagógicas para os governos federal e estaduais” (Todos pela Educação), tendo como objetivo analisar o estabelecimento e constituição das redes empresariais no processo de elaboração de políticas educacionais. Para dialogar com o documento sustentou-se nos pressupostos da  pesquisa qualitativa, do tipo análise documental, cujas análises decorrentes da categorização temática, dos termos, “financiamento”, “mercantilização” e “gerencialismo”, evidenciaram  o alinhamento dos ideários neoliberais no processo de gerencialismo coadunados à Agenda 2030, arquitetando  uma reconfiguração no modus operandi da estruturação educacional do país, sucumbidas as  orientações subscritas pela organização Todos pela Educação nas propositivas às políticas educacionais, efetivando o entrosamento  do terceiro setor no cenário de definição e execução das políticas educacionais, de modo a postular  os processos formativos sob a égide dos interesses mercadológicos. Evidenciou-se conjuntamente que a inserção do setor privado na elaboração e aprimoramento das políticas educacionais coadunam para sucateamento dos aspectos reflexivos e emancipatórios no processo formativo, uma vez que os estruturantes visam atender unicamente aos imperativos de eficiência, eficácia, habilidades e competências.
Qualidade fisiológica de sementes de lentilha armazenadas em diferentes embalagens
Authors: Paraízo Eliene Almeida , Paraízo Eliene Almeida , David Andréia Márcia Santos de Souza , Conceição Edileuza dos Reis Souza , Figueiredo Josiane Cantuária , Silva Cleisson Dener da , Soares Larissa Medeiros , Santos João Rafael Prudêncio dos , Freitas Hemilly Kariny Cardoso , Custodio Debora Cristina Santos , Cangussu Lucas Vinícius de Souza
Published: May 2024

O armazenamento constitui um fator de grande relevância na conservação do potencial fisiológico das sementes, cuja finalidade é assegurar a qualidade das sementes até sua comercialização. Dentre os diversos aspectos associados ao armazenamento, a embalagem para o acondicionamento exerce grande influência sobre a longevidade das sementes. Assim, objetivou-se com o presente estudo avaliar a qualidade fisiológica de sementes de lentilha armazenadas em diferentes embalagens. O delineamento experimental utilizado foi o inteiramente casualizado, cujos tratamentos foram arranjados em esquema fatorial 2 x 7, que consistiram em dois tipos de embalagem (saco de polietileno e saco de papel) e sete tempos de armazenamento (0, 2, 4, 6, 8, 10 e 12 meses), com quatro repetições. As sementes foram armazenadas com 10% de grau de umidade em condição ambiente de laboratório. Nos tempos de armazenamento descritos, as sementes foram avaliadas quanto ao grau de umidade, à germinação e ao vigor. Diante dos resultados obtidos, constatou-se que a qualidade fisiológica das sementes de lentilha reduz ao longo do armazenamento, porém, até os 11 meses, a germinação atende ao padrão mínimo exigido para comercialização. O acondicionamento das sementes em embalagem de polietileno durante o armazenamento possibilita maior conservação de sua germinação e vigor em comparação à embalagem saco de papel.
OUTCOME OF MANUAL VACUUM ASPIRATION (MVA) IN MANAGEMENT OF INCOMPLETE ABORTION
Authors: JALAL R
Published: May 2024

Partial abortions represent a significant worldwide health concern, particularly in regions such as Pakistan. Manual Vacuum Aspiration (MVA) is a potential therapeutic intervention due to its efficacy and safety. This study aims to evaluate the effectiveness and safety of MVA in treating partial abortions, with a focus on outcomes such as procedure success rates, complications, and patient characteristics influencing outcomes. Objective: The objective of this study is to assess the efficacy and safety of Manual Vacuum Aspiration (MVA) as a therapy for treating partial abortions, particularly in the context of Sandeman Provincial Hospital, Quetta. Specific objectives include evaluating procedure success rates and post-procedural complications and identifying any correlations between patient characteristics and outcomes. Methods: This cross-sectional study was conducted at Sandeman Provincial Hospital, Quetta, from August 1, 2021, to January 31, 2022. A sample size of 67 pregnant women aged 18 to 35, showing clinical signs of incomplete abortion, was selected using non-probability sequential sampling. Data collection encompassed various criteria, including procedure duration, blood loss, blood transfusion requirement, evacuation completeness, and length of hospital stay. Correlation analysis was employed to explore relationships between patient characteristics and outcomes. Results: The study found that 82% of patients had a successful MVA procedure. Post-abortal bleeding was observed in 69% of cases, and post-abortal infections in 52%. A strong correlation was identified between gravida and postpartum haemorrhage and infection, indicating higher vulnerability among primigravida individuals. However, no significant correlation was found between gravida and the length of hospital stay, blood transfusion requirement, or MVA efficiency. Conclusion: Manual Vacuum Aspiration (MVA) demonstrates effectiveness and safety as a low-cost, decentralised method for treating partial abortions. Results suggest its incorporation into healthcare systems to mitigate abortion-related risks and reduce rates of maternal morbidity and mortality. This study provides valuable insights into the use of MVA in incomplete abortion care, supporting clinical practice and policy decisions aimed at improving global reproductive health outcomes.
Screening of Mulberry varieties for early sprouting
Authors: Singh P. , Dhingra R. , Mohan Rajat , Juyal A. , Singh B.
Published: May 2024

The sprouting behaviour of different 35 Mulberry varieties were taken during autumn 1999 and spring 2000 to screen out early sprouting varieties for introduction in the field for commercial exploitation. It was observed that Mandalya T-R8, TR10 and S146 are early sprouting varieties. These varieties take 13 to 14 days in spring and 7 to 10 days in autumn for sprouting. All exotic varieties were found exhibiting late sprouting characters. The sprouting in these varieties occurred only towards the second half of March and early April when temperature is comparatively higher for bivoltine rearing. The early sprouting varieties are more suitable for bivoltine rearing than the late sprouting varieties. Hence Mandalaya TR-8, TR-10 and S146 can safely be recommended for bivoltine rearing in subtropical area due to coincidence of their sprouting with bivoltine rearing schedule.
Violence-Related Injuries: The Most Common Cases in Hyderabad, Pakistan
Authors: Bibi Ishrat , Shaikh Muhammad Rafique , Munir Ummara , Samad Abdul , Aslam Nadia , Rasheed Aisha
Published: May 2024

The law influences every aspect of human activity, including medical practice. The nature of casualty is affected by geographical regions, cultures, and social values. Determining characteristics of casualty can guide health policy and can assist in managing healthcare resources. Objective: To profile the cases at casualty department of a tertiary teaching hospital. Methods: The study was conducted at the casualty department of Liaquat University Hospital Hyderabad, Pakistan and Department of Forensic Medicine & Toxicology LUMHS, Jamshoro, over a period of one year from January 2021 to December 2021. A total of 3,487 cases were recorded and categorized into violence-related, transportation-related, substance-related, and sexual assault-related injuries. Results: The majority of cases were violence-related incidents (84.65%), followed by transportation-related accidents (14.65%), substance-related injuries (3.61%), and sexual assault-related injuries (0.69%). Violence-related injuries were divided into assault cases, firearm incidents, and police torture. Transportation-related injuries were categorized as road traffic accidents and train accidents. Assault and road traffic accidents were the leading cause of violence-related and transportation-related injuries, respectively. The highest numbers of cases were observed in April, June, and May. Conclusions: A substantial portion of cases at casualty department of Liaquat University Hospital, Hyderabad is contributed by violence-related injuries
Advancement of Dengue Virus Vaccine: Progress and Challenges
Authors: Mehboob Riffat
Published: May 2024

The dengue virus (DENV), which causes dengue, infects 100 to 300 million people globally each year [1]. Aedes aegypti mosquitoes carry the Dengue virus, which causes dengue fever, which is still a serious global health risk, particularly in tropical and subtropical areas. Since there are now no targeted antiviral therapies and due to difficulties with traditional vector control techniques, the focus has shifted to developing vaccines as the main preventive measure. In order to create a variety of vaccination forms, including live attenuated, recombinant subunit, inactivated virus, viral vectored, DNA, and mRNA vaccines, scientists have targeted E protein and NS1.
An important advancement in the fight against Dengue fever has been the development of vaccinations that are able to neutralize all four serotypes. But there are obstacles such as lack of vaccine effectiveness against specific serotypes, side effects produced by vaccine in progeny and vaccine-induced immunological enhancement (ADE).Immunization can lessen the burden on healthcare systems, lower the number of hospitalizations caused by dengue, and help stop outbreaks.
The development and implementation of dengue vaccine research are significantly accelerated by international cooperation, public-private partnerships, and regulatory cooperation. Effective programs show how crucial it is to work together to combat dengue fever on a worldwide scale. The difficulties involved in developing a dengue vaccine, ongoing funding, campaigning, and research are crucial. There are several viable approaches to increase the efficacy and accessibility of the Dengue vaccine, including cross-disciplinary cooperation, novel vaccination platforms, and emerging technology.
In conclusion, overcoming obstacles unique to each serotype, embracing creative approaches to vaccine design, and negotiating scientific intricacies are all necessary steps on the path to developing successful Dengue virus vaccines. The convergence of state-of-the-art technologies, computational modeling, and cooperative research endeavors can potentially realize the objective of vaccination-based comprehensive dengue prevention.
Telehealth Monitoring System for Chronic Disease Management
Authors: Amin Noor Ul , Abdul Aziz Mohamad Fayyadh bin , Devaendran Dinesh A/L K. , Eun Tan Yung , Yahya Alysha Yasmine Binti M
Published: May 2024

This project introduces a carefully crafted remote health monitoring solution to support chronic illness management in response to the changing healthcare environment. The use of cutting-edge microcontroller technology, the foundation of this all-inclusive solution, is at the core of this breakthrough. Because of the system's ability to operate beyond regional boundaries, users can manage chronic illnesses proactively. The approach promises real-time data capture and communication by seamlessly integrating microcontrollers into the monitoring process, enabling patients and healthcare practitioners alike. This project is a paradigm shift in healthcare, utilizing technology to provide continuous, tailored, and accessible monitoring for improved health and better chronic illness management.
Elucidating Sequence and Structural Variations Present in RNase P RNA Ribozyme for the Taxonomy of Leptospira spp.
Authors: Ravishankar Vigneshwaran , Karunanidhi Manasha , Sridhar Nivetha , Lourdu Stephen Raj Michael Dason
Published: May 2024

RNase P RNA (RPR) gene responsible for transcribing tRNA processing ribozyme is an essential single-copy gene present in the genome of all organisms and has been proven to be a reliable genetic marker for the differentiation of species. In the present study, phylogenetic analysis was performed by exploiting sequence and structural variations present in the RPRs to determine the taxa of unidentified leptospires. RPR gene-based phylogeny revealed that serovars of Leptospira borgpetersenii could be bifurcated into distinct subgroups A and B. The saprophytic leptospiral strains were classified into three groups namely saprophytic group I, saprophytic group II and saprophytic group III. The presumed taxonomic positions of leptospiral strains Hampton, LT 2116, M4, 18R, Pond 2020, ZV016, ICFT and L. alexanderi were investigated for the phylogeny using both RPR and secY genes. The strains of L. alexanderi branched out as a separate clade between strains of L. santarosai and L. borgpetersenii. Furthermore, a simple restriction digestion assay was performed for the RPR gene-based differentiation of leptospires. PCR amplification and subsequent restriction digestion of the RPR gene amplified helped to distinguish Leptospira sp. The present research contributes to our understanding of leptospiral taxonomy and provides a valuable tool for species identification in diagnostic applications.
Cryptocurrency Adoption in Traditional Banking: Challenges and Opportunities
Authors: Gupta Avi
Published: May 2024

The advent of cryptocurrencies has introduced a paradigm shift in the financial ecosystem, offering a novel approach to traditional banking and financial transactions. This Master's thesis titled "Cryptocurrency Adoption in Traditional Banking: Challenges and Opportunities" provides a comprehensive analysis of the integration process of cryptocurrencies into the traditional banking sector. It scrutinizes the multifaceted challenges banks face in adopting cryptocurrencies while highlighting the unprecedented opportunities this new form of currency presents. The study commences with a detailed overview of the cryptocurrency market, emphasizing its growth, volatility, and the technological underpinnings that distinguish it from conventional banking systems. It delves into the historical perspective of cryptocurrencies, with a specific focus on Bitcoin, Ethereum, and other significant players, to understand their evolution, current market dynamics, and potential future trajectories.
Management practices in the implementation of police curriculum through blended learning
Authors: Bolinget Mildred , Soliba Bernadette
Published: May 2024

Few studies were found to have focused on curriculum implementation and management in police education vis-à-vis utilization of blended learning. Thus, this study, utilizing the embedded mixed-method design, determined the commonly employed management practices of the police training centres in implementing their curriculum through the blended learning approach in the Philippines and further identified the challenges encountered during the implementation. This study revealed that training centres have commonly employed management practices in classroom instruction, examination administration, non-academic activities, and management. Likewise, they effectively achieve the curriculum goals, deliver the subject matter, and provide learning experiences. However, minor challenges such as technological concerns, financial constraints, and human resource concerns emerged. Henceforth, providing appropriate infrastructure, promoting personnel welfare, enhancing learning experiences, investigating the causes of challenges, and adopting adaptive ways were suggested.
ปัจจัยที่ส่งผลต่อการตัดสินใจเลือกโรงเรียนกวดวิชาของนักเรียนระดับชั้นมัธยมศึกษาในพื้นที่อำเภอหาดใหญ่ จังหวัดสงขลา
Authors: ทองบุญมาก วาลิตา , มะดีเยาะ อับดุลฮากิม
Published: May 2024

การวิจัยครั้งนี้มีวัตถุประสงค์เพื่อศึกษาปัจจัยที่ส่งผลต่อการตัดสินใจเลือกโรงเรียนกวดวิชาของนักเรียนระดับชั้นมัธยมศึกษาในพื้นที่อำเภอหาดใหญ่ จังหวัดสงขลา ใช้กลุ่มตัวอย่างจำนวน 400 คน สุ่มเจาะจงตามโรงเรียนกวดวิชาทั้งหกแห่งในอำเภอหาดใหญ่ โดยใช้แบบสอบถามเป็นเครื่องมือในการเก็บรวบรวมข้อมูล และนำข้อมูลมาวิเคราะห์โดยใช้สถิติการถดถอยแบบมัลติโนเมียลโลจิสติก (Multinomial Logistic Regression Model) เพื่อตอบวัตถุประสงค์การวิจัย
ผลการวิเคราะห์ด้วยวิธี Multinomial Logistic Regression ด้านปัจจัยส่วนบุคคล พบว่า โรงเรียนที่กำลังเรียนอยู่ เพศ ระดับชั้นที่กำลังเรียน อาชีพของผู้ปกครองนักเรียน รายได้ของผู้ปกครองนักเรียน และจำนวนสมาชิกในครอบครัว เป็นปัจจัยที่มีอิทธิพลในการเลือกสถานที่เรียนกวดวิชาของนักเรียนระดับชั้นมัธยมศึกษาในพื้นที่อำเภอหาดใหญ่ จังหวัดสงขลา ด้านปัจจัยด้านพฤติกรรมการเรียนกวดวิชา พบว่า วิชาที่เลือกเรียน ค่าใช้จ่ายในการเรียนกวดวิชา จำนวนวัน/สัปดาห์ที่เรียนกวดวิชา ลักษณะการเรียนกวดวิชา และรูปแบบการเรียนกวดวิชา เป็นปัจจัยที่มีอิทธิพลในการเลือกสถานที่เรียนกวดวิชาของนักเรียนระดับชั้นมัธยมศึกษาในพื้นที่อำเภอหาดใหญ่ จังหวัดสงขลา
Reviewer Acknowledgements for Global Journal of Health Science, Vol. 16, No. 5
Authors: Grey Erica
Published: May 2024

Reviewer Acknowledgements for Global Journal of Health Science, Vol. 16, No. 5, 2024.