bluuebunny/crossref_metadata_2025_split huggingface dataset:
TEST OF TIMBAL (Pb) CONTENT IN THE URINE OF CLEANING STAFF AT THE WASTE DISPOSAL PLACE BASED ON AGE BY METHODS OF ATOMIC ABSORPTION SPECTROFOTOMETER
Authors: Wulandari Retno , Hanum Galuh Ratmana 
Published: December 2024

A pile of garbage produced by an increase in the needs of the community and can pollute the environment. Lead (Pb) is a heavy metal that is toxic from the air, which can have harmful effects for health. Cadmium (cd) is one of the metal contained in cigarettes tobacco that has a high toxicity properties. Lead (Pb) and Cadmium (Cd) can cause damage to the kidney system. Then the rest of the metabolism is excreted through the urine. This research is for to determine the level of lead (Pb) and cadmium (Cd) and relation between Lead (Pb) and Cadmium (Cd) in urine with the age of the janitor in the garbage dump. In this research, it uses the type of experimental research with 20 urine samples and conducted in March 2021 at the Laboratory of TLM Faculty of Health Sciences Muhhamdiyah Sidoarjo University and UIN Maulana Malik Ibrahim Malang. Data analysis methods use pearson correlation statistics. The results are measured using the AAS method for Timbal (Pb) below the limit 0.15 mg/L and Cadmium (Cd) below the limit 0.01 mg/L. The pearson correlation test of Timbal (Pb) and Cadmium (Cd )is sig. < 0.05, so Ha accepted and it said there was a relation between heavy metals in urine and age.
PHYSICAL CHEMICAL CHARACTERISTICS OF JELLY CANDY HYDROXYAPATITE FROM YELLOWFIN TUNA FISH BONE WASTE (THUNNUS ALBACARES)
Authors: Izar Shaflina , Faisal Hendri , Khairunisah Dinda , Nasution Rizka Hasmi 
Published: December 2024

Introduction: jelly candy is a soft-textured candy that is generally given to children with the aim of optimal growth and development with calcium. Hydroxyapatite content in the preparation of jelly candy can be achieved by using the addition of ingredients containing calcium that come from nature, one of which is by using yellowfin tuna fish bone meal as the main ingredient to increase the calcium content in jelly candy. The aim of the research was to find out that hydroxyapatite from yellowfin tuna bones (Thunnus albacares) can be formulated in the form of jelly candy to determine the hydroxyapatite of yellowfin tuna bones (Thunnus albacares) contains calcium. The research method uses laboratory experimental research. The treatment in this research is a dosage formulation of jelly candy from the bones of yellowfin tuna (Thunnus albacares). The results showed that the higher the concentration of yellowfin tuna bone meal (Thunnus albacares) the higher the calcium levels. The conclusion of this research is that hydroxyapatite of yellowfin tuna bones (Thunnus albacares) can be formulated into dosage forms jelly candy. Yellowfin tuna bone hydroxyapatite (Thunnus albacares) contains calcium and the highest calcium content is in F3 (7%) with a value of 39.3%.
DESIGN AND DEVELOPMENT OF CUSTOMER COMPLAINT SERVICE APPLICATION OF PDAMTIRTANADI BRANCH MEDAN DENAI BASED ON ANDROID
Authors: Gea Eniur , Cut Try Utari  , Taufik Ismail Simanjuntak  
Published: December 2024

Objective: This study aims to design an Android-based customer complaint service application for PDAM Tirtanadi Medan Denai Branch, enhancing customer service efficiency and responsiveness to complaints. Methods: A descriptive qualitative approach was employed, gathering data through direct observation, interviews with customers and administrators, and a literature review. The system development process followed stages including system requirements analysis, design, code generation, testing using black-box methods, and support for maintenance. Results: The resulting application enables rapid, accessible complaint submission for users, providing an effective alternative to traditional call center services and significantly reducing response times for issues such as water quality and meter failures. Novelty: This research contributes an innovative approach for water utility companies in Indonesia by incorporating mobile technology to facilitate 24-hour, location-independent access to complaint services, enhancing service transparency and community satisfaction.
INDUCTION CALLUS OF MORINGA PLANT (MORINGA OLEIFERA) IN VITRO
Authors: Abdul-Sadah Zahraa Abbas trad , Ahmed Rahma Abd Al gabar , Fadhel Sarah Salam Talib , Ibrahim Mohammed Allawi Abed , Jiyad Nawras Saadoun Majbas 
Published: December 2024

This study aims to find an easy and efficient way to induce callus tissue of (Moringa oleifera) in vitro. The seeds were used as explant for cultivation in vitro, these parts were sterilized with sodium hypochlorite (Naocl) at concentrations (0.0, 0.5, 1.0, 2.0%) for a period of time (5,10 ,15, 20 minutes) and mercury chloride solution 0.06,0.07,0.08 0.1 mg/L) and for a period of time (2,3,4,5 minutes). Explant were planted in the medium (Murashige and Skoog (MS) in addition to different concentrations of plant growth regulators (BA, NAA), either individually or in combination. The results showed that the use of sodium hypochlorite solution (NaocL) with a concentration of 2% and a sterilization period of 20 minutes gave the highest sterilization rate of 100% without causing damage to the plant part. Also, the seeds produced callus after 48 days of culture on Ms medium containing the best combination of plant growth regulators (BA 4.0, NAA 0.5 mg/L)
DIABETES MELLITUS AND COVID-19. CARDIOVASCULAR COMPLICATIONS AND COURSE OF TYPE 2 DIABETES MELLITUS AFTER CORONAVIRUS INFECTION
Authors: D.K Najmutdinova , D.A Urunbayeva , N.G Sadikova , S.A Pulotova 
Published: December 2024

The COVID-19 pandemic, caused by the coronavirus SARS-CoV-2, has had profound effects on global health and economics since its emergence in late 2019. Over 770 million confirmed cases of COVID-19 have been reported worldwide, with millions of deaths attributed to the virus. Studies have shown that individuals with T2DM are at a higher risk of severe illness and mortality if they contract COVID-19. The presence of diabetes, especially when poorly controlled, can exacerbate the inflammatory response to the virus. Patients with T2DM often have comorbidities such as cardiovascular disease, hypertension, and obesity, which further increase the risk of severe COVID-19 complications
DNA INSTABILITY ASSOCIATED WITH FOLATE DEﬁCIENCY
Authors: Salih Alyaa Abdulhadi 
Published: December 2024

Folate, also referred to as Vitamin B9, is a type of vitamin that dissolves in water and plays a central role in preserving the integrity of DNA molecules and gene expression through the construction of DNA and methylation. Folate cannot be synthesised in vivo and must be obtained from the diet, particularly fruits and green leafy vegetables. deficiency of folate increases the risk of DNA stability due to uracil misincorporation into the DNA backbone and chromosome breaks, it can lead to the accumulation of deoxyuridine monophosphate (dUMP) which impairs the pathway of dTMP synthesis. in addition, it reduces the availability of methyl donors which causes impaired methylation patterns. Finally, it can generate oxidative stress leading to mtDNA damage and eventually to genomic instability. Different studies and measurement methods have produced varying evidence on the connection between folate and DNA stability, So we encourage to increase in folic acid intake for at-risk groups, but more rigorous human studies are needed before scientifically based public health recommendations about dietary requirements can be made.
TOLL-LIKE (TLRS 1,4,5) IMMUNODETECTION OF SOME TOLL-LIKE RECEPTORS AS AN IMMUNE RESPONSE TO PATIENTS WITH ACUTE APPENDICITIS AND ITS EFFACT ON CLINICAL FEATURES IN BASRA/IRAQ
Authors: Shaker Zainab Nihad , Mahdi Dawood S. , Alsaimary Ihsan Edan , Hoka Saad Ishaq Iskandar 
Published: December 2024

Background: Acute Appendicitis is the most common cause of emergency cases worldwide, and it may have serious consequences. If there is no precise diagnosis, it poses a dreadful issue for the community. Researchers tried to use several markers to determine the definitive diagnosis of Appendicitis. Our research thus sought to determine the various Toll-like receptor TLR1, TLR4, and TLR5 concentrations in the blood of patients suspected of Appendicitis as a diagnostic predictor. Method: This study conducted a case-control analysis on patients diagnosed with Appendicitis in the operating room at Al-Sadr Teaching Hospital and Al-Shifaa Teaching Hospital in Basra, Iraq. The control group was randomly chosen between July 2023 and November 2023. a total of 88 samples were enrolled in the study. Seventy of these samples came from patients experiencing signs and symptoms of Appendicitis. In contrast, the remaining eighteen samples were collected from apparently healthy controls (AHC) who were identical to the patient's group in terms of age, gender, habitat, and other characteristics but did not experience any appendicitis symptoms. Ethical approval was obtained from the Basra Health Department for data collection. Results: According to the findings of this investigation, the immunological markers TLR1 and TLR4 were statistically significant at a level of (P≤0.05) between the serum samples of patients and the control groups. the median concentration of (TLR1 and TLR4) were (14.70 ,10.89 ng/ml) respectively than control group (8.15 ,6.98 ng/ml), statistically show highly significant (P-= 0.000), while the median concentration of TLR5 in appendicitis patients was lower (3.11 ng/ml) than control (3.77 ng\ml), without any significant differences (p=0.185). Conclusion: The serum concentration of TLR1 and TLR4 has the potential to predict the diagnosis of appendicitis.
APPLICATION OF STUDENTS' TECHNOLOGY ADAPTATION THROUGH THE TEACHING CAMPUS PROGRAM AT SD NEGERI DURIKULON
Authors: Lande Adriani , Darmayanti Novi , Mutia Khusnul 
Published: December 2024

Objective: This study examines the impact of the Teaching Campus Program, part of the Independent Learning Independent Campus (MBKM) initiative by the Ministry of Education, Culture, Research, and Technology, on technology adaptation in elementary schools, focusing on SD Negeri Durikulon Laren Lamongan, where technology adaptation skills are limited. Methods: A qualitative descriptive approach was used, involving observation and coordination with school stakeholders, the introduction and practice of technology use, and a series of evaluations. Result: The program facilitated students’ understanding of computer hardware and basic applications, specifically Microsoft Word, enhancing both teacher and student technology adaptability. The activities, organized in a four-month cycle, provided hands-on experiences that directly supported teaching and learning processes. Novelty: This study highlights the MBKM’s role in creating practical learning environments outside traditional classrooms, contributing a model of how university students can aid in technology adaptation at the elementary level. The findings suggest a positive impact on all participants, laying the groundwork for continued implementation of similar programs to support technology readiness among young students across Indonesia.
THE IMPACT OF THE 7th BATCH TEACHING CAMPUS PROGRAM ON THE TRANSFORMATION OF THE LEARNING ENVIRONMENT AT TIKUNG ISLAMIC JUNIOR HIGH SCHOOL: IMPROVING LITERACY, NUMERACY, AND A QUALITY LEARNING ENVIRONMENT
Authors: Basannang Siti Mariani , Irawan Mohamad Rizal Nur , Maimunah Handariyatul 
Published: December 2024

Objective: This study examines the impact of the 7th Batch Teaching Campus Program, part of the Merdeka Belajar Kampus Merdeka (MBKM) initiative, on enhancing literacy, numeracy, and the overall learning environment at Tikung Islamic Junior High School. Methods: Employing a combination of observation, discussion, and program implementation, university students collaborated with school staff to design activities such as literacy and numeracy games, interactive media, and teacher training. This structured work program, developed through the School Communication and Coordination Forum (FKKS), included activities like the Student Work Gallery, Visual Voyage, and a Mathematics Fair, aiming to foster creativity, critical thinking, and engagement among students. Results: The program significantly improved students' literacy and numeracy skills, fostered a more interactive and enjoyable learning environment, and equipped students with essential digital skills. Teachers also benefited from training, enhancing instructional effectiveness. Novelty: By integrating community-based teaching initiatives with structured school programs, this study offers an innovative model for school-university partnerships in underperforming educational settings, highlighting scalable strategies for sustained educational enhancement. Conclusion: The program demonstrates a sustainable and impactful approach to improving educational quality through collaborative efforts between university students and secondary schools, contributing to a holistic and inclusive learning experience.
SIMPLE CANVA DESIGN TRAINING FOR SCHOOL DEVELOPMENT AT RESTU IBU ISLAMIC KINDERGARTEN AND ELEMENTARY SCHOOL
Authors: Purwitasari Fadilla , Ariska Ricky Angga , Yuliarini Sarah 
Published: December 2024

Objective: This study aims to address the challenges faced by schools with limited budgets in providing attractive, two-dimensional learning media by offering training in Canva as a cost-effective design solution. Methods: Community service activities were conducted, including structured workshops that trained teachers from Restu Ibu Islamic Kindergarten and Elementary School, Malang City, in utilizing the Canva platform to create visually engaging and budget-friendly learning media. Results: The training received a positive response, and teachers continued applying their skills up to a year later, effectively integrating Canva-based designs into their instructional materials. Novelty: This approach highlights the use of accessible digital tools like Canva to empower educators in financially constrained environments, promoting sustainable use of digital design skills for enhancing educational quality. The study demonstrates that practical design training can serve as a viable, long-term solution for schools in need of affordable yet visually engaging learning media.
Pemanfaatan Tiktok sebagai Media Informasi Publik oleh Dinas Kominfo Provinsi Sumatera Selatan
Authors: Fara Amelia  , Fildzah Bahirah Yuisman  , Desy Misnawati  , Leo Ferdian Fauzi  
Published: December 2024

Menyediakan informasi publik yang merata pada seluruh lapisan masyarakat merupakan suatu hal yang harus dilakukan oleh instansi pemerintah pada bidang komunikasi dan informatika. Tujuan dari kegiatan pengabdian masyarakat yaitu membantu optimalisasi peran Dinas Komunikasi dan Informatika Provinsi Sumatera Selatan dalam menyebarkan informasi dengan konsep yang lebih santai, tidak kaku namun tetap mengedhukasi Gen Z melalui media sosial Tiktok. Metode yang digunakan dalam pengabdian masyarakat melalui tahap perencanaan, pelaksanaan dan evaluasi. Pelaksanaan kegiatan dilakukan melalui diskusi dan observasi permasalahan dengan pengamatan dan pencatatan data secara langsung mencari informasi terkait dengan media informasi yang digunakan. Subjek pada pengabdian masyarakat adalah Dinas Komunikasi dan Informatika Provinsi Sumatera Selatan. Hasil pengabdian masyarakat terciptanya sebuah media sosial Tiktok Dinas Komunikasi dan Informatika Provinsi Sumatera Selatan dengan nama akun Giat_kominfosumsel sebagai media informasi masyarakat terutama Gen Z yang menyajikan informasi secara lebih ringan, efektif dan menarik.
Los abordajes epistémico-metodológicos en el campo de estudios y prácticas de la economía popular en Argentina. Un análisis desde la coproducción de conocimiento, de María Mercedes Palumbo (Coord.) (2024)
Authors: Plaza Betina 
Published: December 2024

La significatividad de las preguntas que nos propone este libro, coordinado por María Mercedes Palumbo, radica en los diálogos en torno a la coproducción de conocimiento, bajo la premisa “una ciencia que transforma y se transforma”. El texto promueve el diálogo como forma de entender y practicar “una ciencia comprometida participativa, democrática y dialógica”. El libro que reseñamos aquí presenta la originalidad de una perspectiva federal asumida intencionalmente, desde la cual convoca a un conjunto de investigadores e investigadoras que desarrollan su tarea investigativa en universidades públicas de diferentes regiones del país, dentro del campo de estudio y de acción de la economía popular. En ese proceso logra mapear una red de investigadores/as que se encuentran en sintonía, tanto por distanciarse del vínculo extractivista con los sujetos de investigación, como por asumir decisiones metodológicas desde una “opción coproductivista”.
Кластерный анализ постторговой инфраструктуры современных финансовых рынков
Authors: А. Апостолов 
Published: December 2024

Постторговая инфраструктура финансового рынка призвана выполнять общественно значимые функции. Задача регулирующих органов заключается в том, чтобы обеспечивать стабильность и устойчивость клиринговой, расчётной и учётной деятельности на рынке ценных бумаг. В то же время плюрализм моделей организации постторговой инфраструктуры, сложившихся на современных финансовых рынках, не позволяет «стандартизировать» регуляторный инструментарий. Способом, позволяющим упростить процедуру выбора регуляторного инструментария, является кластерный анализ (стратегия «разделяй и властвуй»). Цель настоящего исследования заключается в определении структуры и отличительных признаков кластеров постторговой инфраструктуры современных финансовых рынков. Методами настоящего исследования являются частотный анализ и иерархический кластерный анализ. По результатам кластерного анализа выявлено три кластера: 1) финансовые рынки со сложноорганизованной постторговой инфраструктурой; 2) финансовые рынки с однородной постторговой инфраструктурой; 3) финансовые рынки с неоднородной постторговой инфраструктурой. Кластеризация постторговой инфраструктуры финансового рынка позволила систематизировать разнообразие существующих моделей и определить их потенциал для повышения устойчивости, снижения рисков и повышения эффективности постторговой деятельности. Полученные результаты могут использоваться регулирующими органами при принятии решения об организации или трансформации постторговой инфраструктуры финансового рынка
The post-trade infrastructure of financial markets is designed to fulfill socially significant functions. The role of regulatory authorities is to ensure the stability and resilience of clearing, settlement, and custody activities in the securities market. However, the plurality of post-trade infrastructure models across modern financial markets makes it challenging to "standardize" regulatory tools. One approach to streamlining the selection of regulatory instruments is cluster analysis (the "divide and conquer" strategy). This study aims to identify the structure and distinctive characteristics of post-trade infrastructure clusters in modern financial markets. The research methods used include frequency analysis and hierarchical cluster analysis. The cluster analysis identified three clusters: (1) financial markets with complex post-trade infrastructure; (2) financial markets with homogeneous post-trade infrastructure; and (3) financial markets with heterogeneous post-trade infrastructure. Clustering of financial market post-trade infrastructure enables the systematic categorization of existing models and facilitates the evaluation of their potential for enhancing resilience, reducing risks, and increasing efficiency in post-trade activities. The findings can be utilized by regulatory authorities when deciding on the organization or transformation of financial market post-trade infrastructure
An Innovative Approach for Improving Navigation Performance of Robust Land-Based Vehicles
Authors: Ghouneem Mostafa Mahmoud , Wassal Amr 
Published: December 2024

The Extended Kalman Filter (EKF) stands as a prominent choice within navigation systems, particularly in scenarios involving the integration of a Reduced Inertial Sensor System (RISS) with the Global Positioning System (GPS). However, despite its widespread adoption, the EKF grapples with many challenges, including the propensity to underestimate filter uncertainties, contend with unreliable GPS signals, and confront errors stemming from linearization processes. These issues invariably contribute to a decline in overall system performance. Considering these challenges, this paper endeavors to introduce a groundbreaking integration algorithm to mitigate the inherent shortcomings of the EKF. The proposed algorithm employs innovative strategies to address these challenges comprehensively. Firstly, it incorporates a dynamic self-tuning mechanism meticulously designed to improve filter configuration in real-time, ensuring adaptability to varying operating conditions. The algorithm also integrates a meticulously engineered GPS Integrity algorithm to filter out mistaken readings and bolster the reliability of the navigation solution. Furthermore, the algorithm adopts the Unscented Kalman Filter (UKF), renowned for handling non-linearities directly, thereby cutting the need for the cumbersome linearization procedures inherent in the EKF. Comparative evaluations against the traditional EKF method prove the effectiveness of the proposed approach. Significant performance enhancements are evident using two datasets from a VTI SCC1300-D04 IMU unit compared to high-precision Novatel SPAN ground truth data. These improvements are quantified through RMSE analysis, showing substantial strides in navigation accuracy. Overall, the results underscore the transformative potential of the proposed integration algorithm in advancing navigation system capabilities.
Deep Learning Approach EEG Signal Classification
Authors: Lew Kai Liang , Sim Kok Swee , Ting Zehong 
Published: December 2024

The introduction of deep learning technology has greatly benefited the neuroscience field by improving the electroencephalogram (EEG) signal analysis. These technologies have greatly improved the understanding of complex brain activity by interpreting the signal as normal or abnormal. The EEG signal requires expertise to interpret the pattern, and only then can the EEG signal be differentiated as normal or abnormal. However, some variations always complicate the analysis of the EEG signal by creating noise in the signal. This paper introduces a deep learning model, NeuroNetFlex (NFF), to classify the EEG signal as normal or abnormal. The NNF is designed to classify the EEG signal by using multiple combinations of modules such as one-dimension convolutional neural networks (1D-CNN), Squeeze-and-Excitation (SE) blocks, and the parallel processing fusion of recurrent neural networks (RNN), Long Short Term Memory (LSTM), and Gated Recurrent Unit (GRU) layers are used to analyze the temporal features of the EEG data and learn the signal pattern. The performance of the NNF was evaluated using evaluation metrics such as accuracy, precision, recall, and f1 score. The model achieved an accuracy of 75.33%, a precision of 76.39%, a recall of 75.33%, and an F1 score of 75.08% with a training time of 16.88 minutes, outperforming the existing models. These results demonstrate the promising potential of the NNF to significantly improve the analysis of brain activities