bluuebunny/crossref_metadata_2025_split huggingface dataset:
WORKSHOP PENGGUNAAN SISTEM INFORMASI PENELUSURAN TAMATAN SMK MUHAMMADIYAH 1 BATURETNO
Authors: Pamungkas Canggih Ajika , Susena Edy , Rozikin Ikhwan 
Published: April 2024

Citra dan reputasi dari Sekolah Menengah Kejuruan (SMK) dapat terbangun di masyarakat salah satunya dipengaruhi oleh kualitas lulusan, sedangkan kualitas dari lulusan dapat dipengaruhi oleh kualitas proses pembelajaran pendidikan di sekolah. Sekolah harus memiliki strategi, kompetensi, dan skill yang unggul untuk menghasilkan lulusan yang berkarakter, berkualitas dan sesuai dengan visi misi sekolah. SMK Muhammdiyah 1 Baturetno telah menghasilkan lulusan yang sudah berperan di tengah masyarakat dengan berbagai pekerjaan yang tersebar di berbagai daerah. Pendataan lulusan yang sudah dilakukan belum tersistem dan belum terintegrasi, langkah tersebut dinilai kurang efektif karena laporan data lulusan kepada yang membutuhkan sangat sulit dan lama untuk dapat diakses. Selain itu juga terdapat kendala dalam manajemen pengelolaan data lulusan jika tidak memanfaatkan sistem informasi. Kesimpulan akhir dari pelaksanaan kegiatan Pengabdian kepada Masyarakat “Workshop Penggunaan Sistem Informasi Penelusuran Tamatan SMK Muhammadiyah 1 Baturetno” ialah : 1) Pelatihan ini dapat dilaksanakan dengan baik karena semua peserta antusias dan memberikan respon yang baik saat mendapatkan materi berkaitan denga manajemen pengelolaan Karir Siswa/Bursa Kerja Khusus (BKK) dan Workshop Penggunaan Sistem Informasi Penelusuran Tamatan SMK Muhammadiyah 1 Baturetno. 2) Dengan pemanfaatan Sistem Informasi Penelusuran Tamatan SMK Muhammadiyah 1 Baturetno Berbasis Website, semua data lulusan akan tersimpan dalam bentuk database secara efektif dan juga efisien. 3) Meningkatnya pemahaman perkembangan teknologi informasi. 4) Dengan selesainya kegiatan ini, peserta dapat meningkatkan kompetensi individu, khususnya dalam hal penggunaan Teknologi Informasi dan Komunikasi.
MONEY MARKET INSTRUMENTS AND ECONOMIC GROWTH IN NIGERIA
Authors: Chioma Chidinma George-Anokwuru, 
Published: April 2024

<p>This paper examined the effect of money market instruments on economic growth in Nigeria from 1980 to 2020. To achieve the above objective, secondary data on real gross domestic product, treasury bills, commercial papers, bankers’ acceptances and monetary policy rate were sourced from the statistical bulletin of Nigeria’s apex bank. The Error Correction Mechanism (ECM) was used as the main analytical tool. The result revealed that all the instruments of money market – treasury bills, commercial papers and bankers’ acceptances have positive effect on economic growth in Nigeria during the period of study. This means that money market instruments – treasury bills, commercial papers and bankers acceptances enhanced economic growth in Nigeria during the period of study. However, only bankers’ acceptances significantly (meaningfully) influenced economic growth in Nigeria during the period of study. What this suggests is that though treasury bills and commercial papers have contributed to economic growth in Nigeria from 1980 to 2020, but their contribution is very low to trigger a meaningful increase in economic growth. At the same time, Monetary Policy Rate has negative and insignificant relationship with economic growth in Nigeria during the period considered in this study. The study concluded that money market instruments - treasury bills, commercial papers and bankers’ acceptances have impacted on economic growth in Nigeria. Therefore, recommended that government should put in place policies that will increase the operations of money market in Nigeria in order to make short-term securities and loans available for investment. Deposit money banks and other operators in the money market should be encouraged to possess sufficient approved securities for trading in the money market. Government should ensure easy and effective communication between the operators in the money market. At the same time, there should be a downward review of the cost of raising funds in the Nigerian money market so as to enhance competitiveness and improve the attractiveness of the market as one of the major sources of raising funds for investment which in turn will increase economic growth in Nigeria.</p><p><strong>JEL</strong>: E44; G14</p><p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0214/a.php" alt="Hit counter" /></p>
THE IMPACT OF EMOTIONAL INTELLIGENCE ON LANGUAGE LEARNING ACHIEVEMENTS IN UNIVERSITY EFL STUDENTS
Authors: Degirmenci Gizem Arslan , Yavuz Mehmet Ali 
Published: April 2024

Language learning is not merely a cognitive endeavour but a complex interplay of emotions, perceptions, and social dynamics. This article explores the relationship between emotional intelligence (EI) and language learning outcomes in university English as a Foreign Language (EFL) students. The study investigates the potential moderating influences of gender, field of study, and language background on this relationship. The research uses the Emotional Quotient Inventory (EQ-I) to assess emotional intelligence levels and correlates them with English language learning achievements. The study finds that, on a broad scale, emotional intelligence does not have a statistically significant impact on language learning achievements, suggesting that language proficiency is influenced by various cognitive and non-cognitive factors. However, the results suggest that the influence of emotional intelligence on language learning may be subtler and context-dependent. Specific components of EI, such as intrapersonal and interpersonal skills, may have nuanced effects on distinct language skills. This study enhances our understanding of the complex interplay between emotional intelligence and language learning outcomes among university EFL students, debunking simplistic assumptions about the direct impact of EI on language proficiency.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0708/a.php" alt="Hit counter" /></p>
THE SCIENTIFIC LITERACY ENABLES POLICYMAKERS TO LEGISLATE ON ARTIFICIAL INTELLIGENCE
Authors: Kotsis Konstantinos T. 
Published: April 2024

This research emphasises the significance of scientific literacy for policymakers about the future trajectory of artificial intelligence. The ethical concerns surrounding the development of artificial intelligence are of utmost importance due to its potential social effect. Integrating AI systems into many sectors of society, such as healthcare and banking, necessitates adherence to ethical principles. Strict ethical frameworks must be implemented alongside the development of AI to safeguard against biases, privacy infringement, and ethical shortcomings. Researchers, developers, and policymakers must exercise constant vigilance to address concerns about transparency, accountability, and justice in AI systems. The ethical ramifications of artificial intelligence (AI) transcend technology, including significant ethical considerations for both people and society. Active engagement in ethical deliberations among stakeholders involved in AI development is of utmost importance to guarantee AI's responsible and sustainable deployment. This is a pivotal element in realising the whole potential of AI for the betterment of society. Politicians must comprehensively understand the scientific ideas behind AI to enact legislation in this field effectively.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu/0118/a.php" alt="Hit counter" /></p>
Expansion of Iqbal's thought in Urdu Poetry: A Research and Critical Review
Authors: Rehman Shafiq Ur , Islam Muhammad Rafiq ul 
Published: April 2024

Allama Iqbal is considered among those poet who are the master of thought and the master of message. Undoubtedly, he is one of the creators of the modern area who not only awakened the sleeping nation. With his poetry but also encouraged them to act. It is not an easy task to be fully aware of the expansion of Iqbal’s thought in Iqbalism and the style of Iqbal’s intellectual expansion because both are different from each other in terms of understanding, that is why, the student, teacher, critic and commentator of Iqbal will attain the highest position of understanding Iqbal only when they have access to the source of Iqbal’s thoughts. Therfore, this research article has been limited to the expansion of Iqbal’s thought for which representative poets like Hafeez Jalandhari, Asad Multani and Dr. Syed Qasim Jalal have been sleclted. The reason is that the expansionary elements of Iqbal’s thoughts are dominant in their whole art and thought. Iqbal’s intellectual expansion can be seen either partially or completely in the style of these poets. For some poets, this intellectual style of expansion is presented in a coherent form, while for others it is uncoordinated. Although the nature of the under_discussed article indicates qualitative research yet it also takes consideration the historical and descriptive method under the theory of necessity so that acceptable conclusions can be drawn in the light of the integration of information, concepts as well as theories and evidence.
Decoding Medical Diagnosis with Machine Learning Classifiers
Authors: Chattopadhyay Subhagata 
Published: April 2024

Clinical decision support systems (CDSS) are gaining popularity in disease screening and grading in the current era of digital healthcare. This paper attempts to model how a computer learns to grade an infectious disease (ID), e.g., typhoid fever using the machine learning (ML)-based approach mimicking how a novice doctor learns to diagnose a case with the help of senior doctors. To achieve the goal, ten virtual junior clinicians are developed using ten machine learning classifiers (MLC)-based CDSS, which are then trained with "weighted" [0,1] sign symptoms and the corresponding "labeled" grade of synthetic typhoid fever cases (N = 198). Weights and labels are assigned by ten senior clinicians providing their rich clinical knowledge base. The performance of each VJC is then measured in terms of their diagnostic accuracy, precision, recall, and F-score. Results show that random forest (RF, i.e., VJC9) and decision tree (DT, i.e., VJC4)-based CDSS can grade with an average of 87% accuracy, which is even higher than human clinicians' accuracy. The reason behind RF and DT's appreciable performance is that clinicians use tree-search-based methods with probabilistic "yes" and "no" logic to learn the disease patterns alike the working principles of DT and RF for diagnosing and grading any ID. Apart from modeling, the paper provides insight into how to select the right machine learning classifier (MLC) algorithm in the field of ID diagnosis. It also throws light on various hardships and challenges with MLC-based CDSS implementations in the real-world scenario.

Received: 5 February 2024 | Revised: 11 March 2024 | Accepted: 16 April 2024

Conflicts of Interest
The author declares that he has no conflicts of interest to this work.

Data Availability Statement
The data that support this work are available upon reasonable request to the corresponding author.

Author Contribution Statement
Subhagata Chattopadhyay: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Data curation, Writing - original draft, Writing - review & editing, Visualization.
Cord Blood Albumin; A Predictor of Neonatal Jaundice
Authors: Aqsa Noreen  , Fiaz Ahmed Malik  , Athar Razzaq  
Published: April 2024

Objective: To determine significance of cord blood albumin as predictor of neonatal hyperbilirubinemia.
Methodology: This cross-sectional was conducted in 6 months from 24-4-2021 to 23-9-2021 at Department of neonatology, Recep Tayyip Erdogan Hospital, Muzaffargarh. Early preterm, late preterm and term neonates, age less than 1 week were included in the study. Patients were divided in three groups on basis of gestational age. Group 1 was included early preterm; group 2 was included late preterm and group 3 was including term neonates. Cord blood samples were taken in sterile vials for serum albumin at birth. Patients were followed from 2nd to 7th day of life for development of jaundice. Patients who had transcutaneous bilirubin more than 5mg/dl were selected for serum bilirubin level estimation.
Results: A total of 73 newborn babies were studied; with an average age of approximately 4.94+1.68 days. There were 52.1% male and 47.9% female babies. There were no significant differences in average blood cord albumin and direct bilirubin levels among these groups. However, significant variations were observed in terms of total bilirubin and indirect bilirubin levels, with early and late preterm babies displaying higher levels compared to term babies. Moreover, the study established significant inverse correlations between cord blood albumin levels and both total bilirubin (r ? -0.389, p = 0.001) and indirect bilirubin levels (r ? -0.313, p = 0.007).
Conclusion: Study provides compelling evidence to support the role of cord blood albumin as a predictor of neonatal jaundice through its observed inverse correlations with bilirubin levels. The findings underscore the potential clinical utility of cord blood albumin as an early diagnostic marker for identifying newborns at risk of developing jaundice.
Positive fluid balance and poor outcomes after initial intensive care unit admission in sepsis resuscitation: a retrospective study
Authors: Su Longxiang , Liu Shengjun , Yang Yingying , Jiang Huizhen , Ye Xiangyang , Weng Li , Zhu Weiguo , Tian Xinlun , Long Yun 
Published: April 2024

IntroductionFluid resuscitation of patients with sepsis is crucial. This study explored the role of fluid balance in the early resuscitation of sepsis patients in the intensive care unit (ICU).Material and methodsA retrospective study of patients with sepsis using the Peking Union Medical College Hospital Intensive Care Medical Information System and Database from January 2014 to June 2020 was performed. Based on the survival status on day 28, the training cohort was divided into an alive group (n = 1,803) and a deceased group (n = 429). Univariate and multivariate analyses were used to identify risk factors, and the integrated learning XGBoost algorithm was used to construct a model for predicting outcomes. ROC and Kaplan-Meier survival curves were used to evaluate the effectiveness of the model. A verification cohort (n = 433) was used to verify the model.ResultsUnivariate analysis showed that fluid balance is an important covariate. Based on the scatterplot distribution, a significant difference in mortality was determined between groups stratified with a balance of 1000 ml. There were associations in the multivariate analysis between poor outcomes and sex, PO2/FiO2, serum creatinine, FiO2, platelets, respiratory rate, SPO2, temperature, and total fluid volume (1000 ml). Among these variables, total fluid balance (1000 ml) had an OR of 1.98 (CI: 1.41–2.77, p < 0.001). Therefore, the model was built with these nine factors using XGBoost. Cross validation was used to verify generalizability. This model performed better than the SOFA and APACHE II models. The result was well verified in the verification cohort. A causal forest model suggested that patients with hypoxemia may suffer from positive fluid balance.ConclusionsSepsis fluid resuscitation in the ICU should be a targeted and goal-oriented treatment. A new prognostic prediction model was constructed and indicated that a 6-hour positive fluid balance after ICU initial admission is a risk factor for poor outcomes in sepsis patients. A 6-hour fluid balance above 1000 ml should be performed with caution.
Gedunin induces apoptosis and inhibits HMBG1/PI3K/AKT signaling pathways in a rat model of gastric carcinogenesis induced by methylnitronitrosoguanidine
Authors: Zhang Weixiang , Dong Yongshuai , Sun Chenkun 
Published: April 2024

IntroductionThis study aimed to evaluate the anti-cancer effects of gedunin, a natural compound, in a rat model of gastric carcinogenesis induced by MNNG.Material and methodsFifty-four rats were randomly assigned to six groups for a 60-day study on the effects of MNNG and gedunin. Groups 1–4 received 200 mg/kg MNNG (1, 10, or 100 mg/kg), and group 5 had only 100 mg/kg gedunin.ResultsGedunin at low doses exhibited anti-cancer and protective properties against MNNG-induced damage, including reduced inflammation, and apoptosis.ConclusionsGedunin demonstrates a U-shaped dose-response, with low doses offering protection and high doses promoting tumor growth.
Influence of data spatial resolution in water resources management for oak-savanna distinctive vegetation patches
Authors: Andreu Ana , Carpintero Elisabet , Muñoz-Gomez María J. , Blázquez-Carrasco Ángel , González-Dugo María P. 
Published: April 2024

Abstract. In Mediterranean oak-savannas (known as dehesas in Spain), it is important to better understand the interactions between vegetation structure and local climate regulation at scales relevant to farm management and the dominant hydrological regime. This study evaluated the water use patterns of dehesa vegetation patches (open grasslands, lowland grasslands with high soil moisture, tree + grass, and riparian vegetation), estimating actual evapotranspiration (ET). We used different models, previously validated in the area, that integrate remotely sensed data. They apply (a) a soil water balance (Kc-FAO56), (b) a surface energy balance (ALEXI/DisALEXI, and SEBS), and (c) a sharpening algorithm (STARFM), obtaining products at multiple spatial resolutions (30 m, 1 km, 5 km). The conceptual and operational differences between the methodologies reinforce the idea of a combined application of models. We demonstrated the need for high spatial and temporal resolution for on-farm livestock management due to the importance of the grasslands layer. This scale is crucial to determine the grass's emergence/drying cycle, which is key for livestock feeding planning. In humid/denser areas that provide essential ecosystem services (e.g., refuge, pasture rotation), transpiration rates are higher throughout the year and were underestimated when coarser spatial scale data was used. Over the typical system (grass with dispersed trees), the ET maps at low spatial resolution reflected the water use trends, and all models correlated well. Higher differences were found when comparing the models' performance over open grasslands.
A Biological Caste System? An Investigation of Epigenetics and Socioeconomic Status in Western Society
Authors: Ruel Dalton 
Published: April 2024

Epigenetic research has revealed that socioeconomic status (SES) affects people’s lives much more than previously thought. Studies have previously found links between SES and health outcomes that could not be explained by factors classically attributed to the phenomenon of health disparities between the rich and the poor. Further research suggests that epigenetic markers that correlate with SES can have physiologic effects on the individual carrying them, including risk for cardiovascular disease and depression. These markers modulate gene expression without altering the genetic code and are typically regulated by the environment in which an individual or their ancestors lived. Current findings highlight the importance of putting medical care in the context of patient experience, but this research only scratches the surface of the association between SES-related changes in the epigenome and social mobility. Future studies can further investigate if stressors related to low SES are driving epigenetic changes that affect health outcomes. This relationship may have societal consequences and could shape the future of medicine by influencing policy making and personalized patient care.
RANCANG BANGUN MESIN PEMOTONG TULISAN DENGAN BAHAN STYROFOAM
Authors: Fashiha Ilman Abdillah 
Published: April 2024

Saat ini perkembangan teknologi meningkat begitu pesat, hal ini menyebabkan sektor home industry maupun industry skala besar harus bisa mengikutinya, seperti halnya industri kreatif harus bisa mengikuti berkembangan teknologi tersebut. Oleh karena itu didalam sektor perkembangan home industri kreatif seperti halnya pengrajin pembuataan karangan bunga dengan bahan styrofoam membutuhkan teknologi tepat guna untuk mengahasilkan hasil yang efektif dan efisien yang dapat dilihat dari kualitas maupun kuantitas hasil produksi. Alat pemotong untuk tulisan pada karangan bunga dengan bahan styrofoam adalah suatu alat yang dapat memotong styrofoam dengan otomatis yang dapat berguna bagi pengrajin pembuatan papan karangan bunga. Dengan adanya alat ini diharapkan bisa meningkatkan hasil produksi dari pengrajin.
Kata Kunci: Mikrokontroller, G-code, Hot Cutting Pen, Motor Stepper.
Students' Perceptions of Engaging Learning: Preparation for Engaging Learning Strategies
Authors: Yuniar Purwanti  
Published: April 2024

The existence of saturation and limited learning resources are two phenomena seen in learning so far. Interesting learning is that students participate actively, concentrate and enjoy learning. This study aims to determine students' perceptions of interesting learning. The results of this study will be used as the basis for further research. This study applies a survey research method, with a quantitative descriptive approach. This research involved 193 students of the Information Technology Education Department. The data obtained were analyzed quantitatively using percentages This analysis uses indicators derived from front-end analysis from Lee Owen, namely: ) Audience analysis shows that students prefer learning with a visual style, 2) Technology analysis shows that learning using LMS gets the highest proportion and prefers using videos. 3) Critical incident analysis, that combines online and offline learning which is very enjoyable, understanding using structured learning. 4) Media analysis show that all have their own cell phone (100%), have high internet access (95%) and have easy access to the internet around 88%. Thus it means that students want learning to be carried out by combining online and offline learning, learning using visual styles, structured learning.
Common Vulnerabilities and Exposures Assessment of Private Higher Educational Institutions Using Web Application Security
Authors: Ellen F. Mangaoang  
Published: April 2024

The advancements in technology has led to advancements in threats and vulnerabilities as well. Academic websites are not spared from this. This study aims to evaluate the common vulnerabilities and exposures of private higher educational institution’s website using Open Web Application Security Project. Seven private higher education institutions were evaluated using Open Web Application Security Project Zed Attack Proxy and Open Web Application Security Project top 10. The top vulnerabilities the higher educational institutions were exposed to were broken access control, insecure design and software and data integrity failures. There were two higher educational institutions with high level of risks. Also, a total of thirty-two risks or vulnerabilities were identified in the study. The identification of vulnerabilities or exposures in websites will help the private schools to become aware of possible cyberattacks to their institution’s website. This will help the institution to identify and prevent further loss or damage.