bluuebunny/crossref_metadata_2025 huggingface dataset:
ABORDAGEM DE NEONATOS COM SÍNDROME DE PIERRE ROBIN
Authors: FREITAS ARIEL SOUSA , OLIVEIRA ERIS ARAÚJO , DANTAS MURILO LUCENA , GUIMARÃES PAULYNE SOUZA SILVA , COSTA LYSS EDUARDA DA SILVA , SOUZA VITÓRIA GABRIELE SANTOS DE , SILVA LARISSA BOMFIM , SILVA MAYARA KAUANNE SANTOS DA , FACHINI BRUNA CORRÊA , ALMEIDA JANDERSON SILVA DE
Published: November 2024

Introdução: A Síndrome de Pierre Robin (SPR) é caracterizada pela tríade clássica de anomalias craniofaciais:
retrognatia mandibular, glossoptose e fenda palatina, resultante do desenvolvimento mandibular deficiente
durante a gestação. Pode ocorrer isoladamente ou em associação com outras síndromes genéticas. Objetivo:
Fornecer uma visão abrangente sobre a abordagem inicial e o manejo contínuo de neonatos com SPR,
explorando estratégias diagnósticas, terapêuticas e de suporte. Metodologia: Revisão sistemática de artigos
publicados entre 2004 e 2023 nas bases de dados PubMed, LILACS e SciELO. Foram incluídos estudos que
abordavam diagnóstico, manejo e tratamento de neonatos com SPR, e excluídos os com acesso não gratuito e
os que abordavam outras síndromes genéticas. Resultados: As manifestações clínicas da SPR variam desde
leve dificuldade respiratória até crises graves de asfixia. Intervenções cirúrgicas são frequentemente

necessárias para evitar a morte neonatal. As dificuldades alimentares podem levar à desnutrição proteico-
calórica e ao uso prolongado de sondas. O manejo inicial começa na sala de parto, com a estabilização

respiratória. Para casos leves, técnicas de posicionamento como a posição prona são utilizadas. Casos
moderados podem requerer intubação nasofaríngea. Em situações mais graves, são indicadas intervenções
cirúrgicas, como a glossopexia ou traqueostomia. A abordagem nutricional inclui dieta hipercalórica e o uso
de sondas nasogástricas até que o bebê possa alimentar-se adequadamente por via oral. A monitorização
cuidadosa do crescimento e desenvolvimento é essencial, assim como o suporte psicológico e social às famílias
afetadas. Discussão: O tratamento da SPR envolve uma equipe multidisciplinar, abordando não apenas as
questões respiratórias e alimentares, mas também complicações como perda auditiva, anomalias
musculoesqueléticas e cardiopatias congênitas. Considerações finais: A SPR é uma condição complexa que
demanda uma abordagem integrada desde o diagnóstico precoce até o manejo contínuo, visando melhorar a
qualidade de vida e minimizar complicações futuras através de tratamentos personalizados e acompanhamento
multidisciplinar constante.
DENGUE: UMA ANÁLISE MULTIFATORIAL DA TRANSMISSÃO VERTICAL DA DOENÇA NO NEONATO
Authors: BENDER JOYCE MARIA DE OLIVEIRA , GONÇALVES LAURA CORREIA , HOSHI LETÍCIA HARUMI , HOSHI LETÍCIA HARUMI , SILVA MICAELLI DA COSTA , MARQUES RAFAELA FERNANDES GEREMIAS , LIMA RAYANE HOFFEMAN DE , FUNKE STHEFANY SANTOS , ONOFRE ANA LUIZA RODAKOWSKI
Published: November 2024

Objetivo: Revisar a literatura atual sobre a infecção pelo vírus da dengue durante a gestação, suas
implicações para a saúde materna e fetal, e as evidências relacionadas à transmissão vertical, com
foco em estudos atuais. Metodologia: Revisão da literatura nas bases de dados PubMed e Google
Acadêmico, utilizando descritores relacionados à dengue e transmissão vertical. Foram incluídos
artigos publicados entre 2020 e 2024, resultando na seleção de 16 estudos, os quais foram foram
analisados por meio de leitura exploratória e interpretativa. Resultados e discussão: Os estudos
revisados indicam que a taxa de transmissão vertical do vírus da dengue varia entre 18,5% e 22,7%,
com maior risco se a mãe for infectada nas últimas semanas de gestação. A infecção pelo vírus da
dengue durante a gestação pode resultar em desfechos graves, incluindo prematuridade,
natimortalidade, baixo peso ao nascer, e aumento das taxas de cesáreas. As complicações neurológicas
congênitas, embora menos frequentes que em outras infecções por flavivírus, são uma preocupação
significativa. O diagnóstico precoce é crucial para o manejo adequado da infecção em neonatos, e o
tratamento deve ser cuidadosamente monitorado para prevenir complicações. Considerações Finais:
A transmissão vertical da dengue, embora rara, pode resultar em graves complicações neonatais.
Estudos adicionais são necessários para compreender melhor os mecanismos de transmissão e os
riscos associados à amamentação. A profilaxia e o diagnóstico precoce são essenciais para a redução
da morbimortalidade neonatal. A revisão destaca a importância de estratégias preventivas e de manejo
clínico adequado para melhorar os desfechos maternos e neonatais em gestantes com dengue.
Some new results on w Up-algebras
Authors:   International Mathematical Virtual Institute Kordunav ska Street 6, 78000 Banja Luka, Bosnia and Herzegovina, Romano Daniel A.
Published: November 2024

The concept of weak UP-algebras (shortly wUP-algebra) is an extension of the notion of UP-algebras introduced in 2021 by Iampan and Romano. In this report, an effective extension of a (weak) UP-algebra to a wUP-algebra is created. In addition to the previous one, the concept of atoms in wUP-algebras is introduced and their important properties are registered. Finally, the concept of wUP-filters in wUP-algebras was introduced and its connections with other substructures in wUP-algebras were analyzed.
Mathematical simulation of À LA Einstein loss of the non-separable character of a function for two particles at the quantum-classical boundary
Authors:   Department of Exact and Technological Sciences, Federal University of Amapa, Rod. J. Kubitschek, 68903-419, Macapa, AP, Brazil, Bulnes J.D. , Travassos M.A.I. ,   Department of Scientific Research, Innovation and Training of Scientific and Pedagogical Staff, University of Economics and Pedagogy, Karshi, 180100, Juraev D.A. ,   Department of Mathematics, Anand International College of Engineering, Near Kanota, Agra Road, Jaipur-303012, Rajasthan, India, Dias G. ,   Colegiado de Matem\’atica, Universidade Federal do Amapa, Rod. J. Kubitschek, 68903-419, Macapa, AP, Brazil, Bonilla Lopez ,   ESIME-Zacatenco, Instituto Politecnico Nacional, Edif. 4, 1er. Piso, Col. Lindavista CP 07738, CDMX, Mexico
Published: November 2024

In this article, we present mathematical simulations of non-separable functions (those that would “correspond” to two entangled quantum particles) that lose this character only as a result of approaching the quantum-classical frontier. No mathematical representation of the action of deteriorating agents of quantum entanglement was included in the simulation. Such loss manifests itself both from the point of view of position space and momentum space. For certain limits, compatible with the space considered, the non-separable functions defined here transform into separable functions or cancel each other out at this boundary, thus erasing the (mathematical representation of) the quantum characteristic with no equivalent in the classical world. These simulations do not concern the loss of a physical property or characteristic, but rather the loss of a mathematical characteristic of a function for two quantum particles. The “ghostly action at a distance”, colloquially expressed by Prof. A. Einstein, has a “spatially limited and non-instantaneous action” as it’s opposite, which mathematically takes place in simulations of non-separable quantum functions, as shown here.
Reviewer Acknowledgements for International Linguistics Research, Vol. 6, No. 1
Authors: Lane Sarah
Published: November 2024

International Linguistics Research wishes to acknowledge the following individuals for their assistance with peer review of manuscripts for this issue. Their help and contributions in maintaining the quality of the journal is greatly appreciated.
International Linguistics Research is recruiting reviewers for the journal. If you are interested in becoming a reviewer, we welcome you to join us. Please find the application form and details at http://home.ideasspread.org/for-reviewers/ and e-mail the completed application form to ilr@ideasspread.org
Diagnostic advances in sepsis: A comparative analysis of syndromic approaches and molecular biology techniques in clinical bacteremia
Authors: Smail Ghouzraf  , Hamza Kachkouch  , Mourad El Faïz  , Youssef El Kamouni  , Lamiae Arsalane  , Said Zouhair
Published: November 2024

Sepsis remains a leading cause of morbidity and mortality. This retrospective study, conducted at Avicenne Military Hospital in Marrakech over ten years, analyzed 3721 blood cultures, identifying 420 cases of bacteremia (11.3% positivity rate). The predominant isolates included Staphylococcus aureus, coagulase-negative staphylococci, Escherichia coli, Klebsiella spp., and Acinetobacter baumannii, with significant resistance patterns observed. Notably, 50% of S. aureus were methicillin-resistant (MRSA), while extended-spectrum beta-lactamase (ESBL) production was found in 30% of E. coli and Klebsiella pneumoniae isolates. The FilmArray multiplex PCR system was utilized to enhance rapid pathogen identification, reducing turnaround time from 72 hours to under 2 hours, and demonstrated high concordance with conventional cultures. The molecular diagnostics identified various resistant strains, including carbapenemase-producing organisms in K. pneumoniae and multidrug-resistant A. baumannii, underscoring the critical need for effective antimicrobial stewardship. Overall, this study emphasizes the evolving epidemiology of bacteremia, the rising antimicrobial resistance, and the utility of rapid molecular diagnostics in guiding timely and appropriate treatment, ultimately aiming to improve patient outcomes in sepsis management.
Threat of extinction of the taurine breed of sedentary cattle farms in the Bafing Region, in the north-west of Côte d’Ivoire
Authors: Bosson Nicolas ABOLY  , Soronikpoho SORO  , Fatoumata COULIBALY  , N’dri SOUANGA  , et Konan Gboko Gatien BROU
Published: November 2024

The study was carried out in the Bafing region, in the north-west of Côte d'Ivoire, and focused on the threat of extinction facing taurine breeds as a result of cross-breeding practices on sedentary cattle farms. A three-year survey was carried out to determine the prevalence rate of taurine breeds under pressure from cross-breeding (N'damaze and Méré) on sedentary cattle farms. The results showed that the cattle herd of 90,823 head for 2,060 breeding sites in 2021 had declined over the years to 72,051 head in 2023 for 1,039 breeding sites. In addition, the practice of anarchic cross-breeding between local breeds (N'dama and Baoulé) and Sudanese Peulh zebus by farmers was permanent. Comparison of the results revealed a highly significant difference between the three breeds of cattle (p = 0.000). Thus, the majority of sedentary cattle herds were made up of mixed breeds (60.00 ± 0.1%), followed by the Zebu breed (32.05 ± 0.42) and the Taurine breed with the lowest prevalence (8.43 ± 0.046%).
Policy interventions to address systemic barriers in surgical care access for minority populations in the United States
Authors: Taiwo Akindahunsi  , Jude Shagan Azai  , Samuel Dada  , Oluwabunmi Blessing Adesina
Published: November 2024

Improving access to surgical care, specifically to increase the opportunity for and utilization of services across minority populations, remains a significant challenge for health policymakers striving to achieve equity in care delivery. Therefore, this review explores systemic barriers to surgical care access among minority populations and evaluates policy interventions developed to address these disparities. This narrative review employed a comprehensive search strategy across databases including PubMed, Google Scholar, and Research Rabbit, utilizing keywords such as "policy intervention," "systemic barriers," and "minority populations." Studies focusing on U.S. racial and ethnic minorities and barriers to surgical care were included, encompassing articles published within the last 20 years, along with relevant older literature. Non-English articles and studies not related to racial or ethnic minorities were excluded. Additionally, reference lists of selected articles were hand-searched for further relevant studies. This review identifies systemic barriers limiting minority populations' access to surgical care, including structural racism, socioeconomic disadvantage, healthcare system segregation, and provider bias. It assesses the effectiveness of policy interventions like Medicaid expansion under the Affordable Care Act, noting mixed results in reducing racial and ethnic disparities in surgical outcomes. The findings underscore the necessity of multi-level interventions targeting patient, provider, and system-level factors to enhance equitable access to surgical care for minority groups, highlighting the need for comprehensive efforts from policymakers, hospitals, and health systems to promote healthcare equity.
Enhancing fault tolerance and scalability in multi-region Kafka clusters for high-demand cloud platforms
Authors: Taiwo Joseph Akinbolaji  , Godwin Nzeako  , David Akokodaripon  , Akorede Victor Aderoju  , Rahman Akorede Shittu
Published: November 2024

This study examines strategies for enhancing fault tolerance and scalability in multi-region Kafka clusters, essential for supporting high-demand cloud environments. As cloud-based applications expand globally, achieving seamless data streaming across regions requires advanced configurations in Apache Kafka. This paper provides a thorough analysis of key approaches, including replication strategies, dynamic resource management, and real-time monitoring techniques tailored for multi-region deployments. Through a comprehensive literature review and real-world case studies, the study identifies critical challenges in managing latency, data consistency, and resilience within distributed Kafka clusters. Findings reveal that fault tolerance can be significantly improved through hybrid replication models that balance latency and data integrity, while advanced partitioning and load balancing techniques optimize Kafka’s scalability under fluctuating demands. The integration of container orchestration tools such as Kubernetes has also proven effective in automating resource scaling and failover across distributed environments. Furthermore, the paper highlights future research directions, including edge computing integration, predictive scaling, and enhanced security protocols to address evolving data privacy requirements. In conclusion, while multi-region Kafka deployments offer robust solutions for distributed data streaming, achieving optimal performance and resilience requires a combination of adaptive replication, proactive resource management, and secure, compliant data flows. Future research should focus on refining edge-compatible solutions and regulatory-compliant frameworks to sustain Kafka’s role in global, real-time data processing.
The effect of calabash chalk on the gastrointestinal motility and transit time of male albino Wistar rat
Authors: Nnamdi Kingsley Okore  , Oluchi Linda Onyemeh  , Itunu Toyin Remilekun  , Amarachi Grace Melah  , Shine Kwasi Gemadi  , Etido Udoh Elijah  , Chioma Blessing Ifebuzor
Published: November 2024

Background: Calabash chalk, a naturally occurring mineral, is widely consumed in many African countries for various purposes, including pleasure, medicinal use, and regular diet. Pregnant women commonly use it to alleviate nausea. However, research has shown that consuming this geophagic material poses several health risks. This study aimed to investigate the effects of Calabash chalk on gastrointestinal motility and transit time. Method: 10 male albino Wistar rats weighing between 150 and 170 g were randomly assigned to two groups. Group A served as the control and received standard animal feed and water, while Group B received animal feed, water, and 1.3 g/kg body weight of Calabash chalk orally. Both groups were treated for 21 days before being sacrificed. The intestinal motility and transit time were then assessed. Result: The results showed a significant increase (p < 0.01) in ileal smooth muscle contraction in the test group following the administration of graded doses of acetylcholine (10^-8, 10^-7, and 10^-6) compared to the control group. Additionally, a significant increase (p < 0.001) was observed in the test group with acetylcholine at 10^-5, although there was a significant decrease (p < 0.05) at higher concentrations. The administration of atropine also resulted in a significant increase (p < 0.05) in intestinal motility in the test group. Furthermore, there was a significant decrease (p < 0.05) in transit time in the test group compared to the control group. In contrast, no significant difference (p > 0.05) was observed in the total length of the small intestine between the two groups. Conclusion: The administration of Calabash chalk significantly increased small intestinal motility and decreased transit time. These effects may lead to gastrointestinal irritation, malabsorption of nutrients, and digestive inefficiency. Given the potential health risks associated with Calabash chalk, it is not advisable for regular consumption mainly due to its adverse effects on the gastrointestinal system.
The influence of ecochemical and ecotoxicological factors on the water of the Kisishkevi River
Authors: Darejan Margalitashvili  , Salome Omiadze  , Sesili Beriashvili  , Davit Natadze  , Marine Nikolaishvili  , Tofik Kuliev  , Tina Gventsadze
Published: November 2024

This study examines the ecochemical and ecotoxicological conditions of the Kisishkevi River's water. The research was conducted in compliance with normative documents. For chemical analysis, both qualitative chemical experiments and mobile water quality analyzers, adhering to international standards, were employed. The results were evaluated in accordance with Georgia's environmental protection regulations. Parameters such as pH, mineralization, and dissolved oxygen were found to be within the permissible concentration limits for surface water, remaining within acceptable norms. However, in two seasons of the year, biological consumption of oxygen exceeded the standard levels for unpolluted waters. Notably, an increase in NO3- (nitrate) pollution was observed, with organic pollution levels rising from 40.1 mg/l to 63.2 mg/l. To maintain the ecological health of small rivers like the Kisishkevi, regular water quality monitoring is recommended.
Strengthening Digital Forensics with Blockchain Technology and Algorithms
Authors: Shatakshi Johri
Published: November 2024

The blockchain technology is fast becoming a crucible of e governance. It is pitched to safeguard privacy and is hard to tamper with as it works using the distributed ledger technology. The digital evidence is secured and strengthened respectively. The regulators are dealing with complex and immense volume of data. To deal with this challenge, one of the possible solutions is cloud computing. The use of blockchain in digital forensics has initiated nuanced understanding of evidence management. There are multiple storage and classification models related to blockchain along with algorithms that are helpful in data handling. This article is an analysis of the evolving models that use blockchain and algorithms. The purpose of this article is to analyse and suggest sustainable and pragmatic solutions for regulators. The algorithmic approaches discussed in this article are efficient in terms of time, cost, access and energy. However, to further the objectives of National Strategy on Blockchain, enhanced efforts are needed to secure digital evidence management.
Psycho-cognitive factors and adherence to disease-modifying biologic therapies in patients with rheumatoid arthritis: A cross-sectional study
Authors: Rahma Honsali  , Latifa Tahiri  , Salma El-Boughabi  , Nada Benzine  , Safa Rakhami  , Hind L’Heri  , Fatine Kronbi  , Hanan Rkain  , Fadoua Allali
Published: November 2024

Introduction: Therapeutic adherence with biologic therapies is crucial for optimal treatment outcomes in rheumatoid arthritis (RA). Materials and Methods: This single-center, cross-sectional study aimed to assess biotherapy adherence in Moroccan RA patients and investigate its relationship with psycho-cognitive factors, including depression, anxiety, pain catastrophizing, and fibromyalgia. We evaluated 67 RA patients at Ayachi University Hospital – Salé, using the Girerd questionnaire for medication adherence, a French adaptation of the 6-item MMAS (Morisky Medication Adherence Scale), the Hospital Anxiety and Depression Scale (HAD) Pain Catastrophizing Scale (PCS), and Fibromyalgia Rapid Screening Tool (FIRST). Results: The sample population was predominantly female (92.5%), with a mean age of 55.5 years ± 13.7 years. Most patients received Rituximab (52.2%), followed by anti-TNF drugs (35.9%) and anti-IL6 drugs (11.9%). Results revealed poor adherence in 71.6% of patients, with a high prevalence of psychological comorbidities: anxiety (100%), depression (98.5%), pain catastrophizing (53.7%), and fibromyalgia (19.4%). In univariate analysis, poorer adherence was associated with a higher Health Assessment Questionnaire (HAQ) score (OR = 0.24; 95% CI [0.09 – 0.64]; p = 0.004) and a longer history of RA (OR = 0.92; 95% CI [0.85 – 0.99]; p = 0.043). Multi-medicated patients had poorer adherence (OR = 3.12; 95% CI [1.03 - 9.42]; p = 0.043), as did those with pain catastrophizing (OR = 3.61; 95% CI [1.16 - 11.18]; p = 0.02). Surprisingly, anxiety, depression, and fibromyalgia did not significantly affect adherence. Conclusion: This study reported a low rate of adherence to biotherapy (28.4%) in Moroccan RA patients, with key factors such as disease duration, HAQ index, polypharmacy and pain catastrophizing significantly affecting adherence. These findings highlight the need for tailored therapeutic education and management strategies to improve biotherapy adherence in RA patients.
Global trade dynamics' impact on food pricing and supply chain resilience: A quantitative model
Authors: Amarachi Queen Olufemi-Phillips  , Abbey Ngochindo Igwe  , Adekunle Stephen Toromade  , Nsisong Louis Eyo-Udo  , Titilope Tosin Adewale
Published: November 2024

This study explores the influence of global trade dynamics on food pricing and supply chain resilience, focusing on the development of a quantitative model that examines the relationships between trade policies, economic indicators, and trade volumes. As fluctuations in trade policies—such as tariffs, quotas, and subsidies—directly impact food prices and market stability, this model provides a structured framework for assessing these variables’ interdependencies. By integrating data on trade flows, currency exchange rates, and commodity prices, the model quantifies the effects of protective and liberalized trade measures on both local and international food markets. This approach allows for identifying trends in pricing volatility linked to policy shifts, thereby offering insights into areas vulnerable to trade disruptions and external economic shocks. The resilience of the food supply chain is measured by evaluating metrics such as delivery times, supplier diversity, and inventory levels across regions affected by trade policy changes. The findings emphasize that trade barriers can result in price spikes, delays, and supply shortages, while open trade policies generally support market flexibility and pricing stability. Additionally, the model incorporates economic indicators such as Gross Domestic Product (GDP), inflation, and unemployment rates, which correlate with food demand and purchasing power, thereby further influencing price and supply chain stability. Future research could leverage this model to develop adaptive strategies that strengthen supply chain resilience under various global trade conditions. Suggested adaptations include diversifying suppliers, increasing inventory buffers, and enhancing predictive analytics for better demand forecasting. By integrating these adaptive measures, stakeholders can mitigate adverse effects on food accessibility and affordability in both developed and emerging economies. This research contributes to the literature on food security, highlighting the need for resilient trade policies and supply chain strategies in an increasingly interconnected global economy.
Depression revealing Fahr's syndrome in association with primary autoimmune hypoparathyroidism: A case report
Authors: Mariam Hamaichat  , Ali Halouache  , Ahmed Anas Guerboub
Published: November 2024

Fahr’s syndrome is a rare entity characterised by the presence of intracerebral calcifications, which are mainly located in the basal ganglia, and are bilateral and symmetrical. It is associated with phosphocalcium metabolism disorders, such as hypoparathyroidism. It can manifest as a variety of neurological or psychiatric disorders. We report the case of a 60-year-old female patient with primary autoimmune hypoparathyroidism, who presented with a depressive syndrome. Paraclinical investigations indicated the presence of Fahr’s syndrome, which was associated with chronic hypocalcemia due to digestive malabsorption, and aggravated by therapeutic non-adherence due to her depression.
Automated error detection and correction in Augmentative and Alternative Communication (AAC) Systems Using NLP
Authors: Omotayo Emmanuel Omoyemi
Published: November 2024

This research examines the application of natural language processing (NLP) methods in the field of error detection and correction attached to the weakly constrained domains of Augmentative and Alternative Communication (AAC) systems designed for people with several communicative difficulties. To train and evaluate the effectiveness of the NLP model, we present a simulated dataset containing typical input AAC errors, such as symbol errors, typographical errors, and context arguments that do not suit the input; this way, we do not use real user data. The methodology consists of using simulated queries to train an NLP model that has been designed to work in real time and corrects speech recognition errors. Key results include the provision of accuracy evidence of the model in detecting and correcting the input errors for which the model was built to perform based on the data provided by the simulated test. Evaluation measurements such as precision, recall and F1-score also assure on the model performance which explains the ability of the new model to enhance the usability and accessibility of AAC systems. Limitations are mostly related to difficulties in extrapolating the data to the real world, however results demonstrate great advances in AAC error correction technology. Further studies aim at improving these models based on the real-life feedback received.
Nature Finest Nutraceutical – “Wheat Grass juice”: A Literature review
Authors: Priyanka Somkuvar  , Vaidehi P. Thakre  , Abhishek B. Badge
Published: November 2024

Wheatgrass, a young grass of the wheat plant, has been used for over 5000 years and is widely cultivated worldwide. It is consumed as fresh juice or powdered form, with compositions varying based on production processes and growing conditions. Wheatgrass juice is known for its high antioxidant activity and phenolic content, and has been shown to have anti-cancer, anti-ulcer, anti-inflammatory, antioxidant, anti-arthritic, and blood building properties. Wheatgrass therapy is recommended for patients with chronic diseases, including cancer. Wheat grass, a young grass of the wheat plant, is widely cultivated worldwide and consumed as fresh juice or powdered form. It contains bioactive compounds like flavonoids, proteins, alkaloids, terpenoids, saponins, fibers, vitamins, tannins, phenolic compounds, and active enzymes. Wheatgrass juice is rich in chlorophyll, which has similar actions to hemoglobin in human blood. It has traditionally been used as a health tonic for treating diseases like thalassemia, liver disorder, cancer, anemia, osteoporosis, ulcers, and cardiovascular diseases. Wheatgrass juice also helps build red blood cells, stimulates healthy tissue cell growth, and increases hemoglobin retention. Wheatgrass is gaining popularity due to its potential to combat diseases like cancer, thalassemia, and cardiovascular issues. A study developed a juice from fresh wheatgrass, grown in pots and cut into different heights. The juice was analyzed for minerals and antioxidants. Results showed that the 9-10 inch height yielded the most rich nutrients and antioxidants, making it a valuable addition to community health.
G6PD deficiency and cardiovascular risk: A systematic review
Authors: Nawieta Hamilton  , Blagovest Stoimenov
Published: November 2024

Glucose-6-phosphate dehydrogenase (G6PD) deficiency is one of the most common X-linked enzymatic disorders worldwide, affecting over 400 million individuals. The enzyme G6PD plays a critical role in maintaining cellular redox homeostasis by generating NADPH, which is essential for protecting cells from oxidative stress. Its deficiency leads to reduced antioxidant capacity, particularly in red blood cells, causing hemolysis under oxidative stress. Beyond hemolysis, emerging evidence suggests that G6PD deficiency may have broader systemic effects, including an impact on cardiovascular health. This systematic review aims to explore the association between G6PD deficiency and cardiovascular risk.
Collaborative Governance Dinas Perhubungan Kota Palembang: Penerapan dan Penegakkan Retribusi
Authors: Dwi Nando M. Wicky , Apriliani Rika , Zubaidah Siti
Published: November 2024

Perhubungan Kota Palembang melalui pendekatan Collaborative Governance. Metode penelitian yang digunakan adalah kualitatif dengan teknik pengumpulan data berupa wawancara mendalam, observasi, dan studi dokumentasi. Hasil penelitian menunjukkan bahwa penerapan dan penegakkan retribusi di Kota Palembang melibatkan berbagai pemangku kepentingan, termasuk pemerintah daerah, swasta, dan masyarakat. Kolaborasi antara pihak- pihak tersebut tercermin dalam koordinasi dan komunikasi yang efektif, meskipun masih terdapat beberapa kendala, seperti keterbatasan sumber daya dan resistensi dari masyarakat. Penelitian ini menyimpulkan bahwa model Collaborative Governance mampu meningkatkan efektivitas penerapan dan penegakkan retribusi, namun membutuhkan komitmen dan partisipasi aktif dari semua pihak terkait. Rekomendasi yang diberikan mencakup peningkatan kapasitas sumber daya manusia, penguatan regulasi, dan peningkatan kesadaran masyarakat terhadap pentingnya retribusi sebagai sumber pendapatan daerah.
Digitalisasi Pelayanan Publik dalam Sektor Pelayanan Kependudukan
Authors: Iqbal Muhammad , Mirza Tony
Published: November 2024

Pemerintah di Indonesia saat ini sedang mengembangkan dan meningkatkan kualitas pelayanan publik bagi masyarakat terkhusus sektor kependudukan secara efektif dan efesien, perubahan dari tradisional goverment menjadi e-goverment (electronic goverment) adalah langkah awal bagi pemerintah merombak keseluruhan sistem pelayanan berbasis paper-based ke paper-less. Studi ini dibuat untuk menggambarkan perspektif dari masyarakat tentang program digitalisasi yang sangat membantu dan mempermudah mereka dalam mengakses layanan publik, terutama masyarakat yang tinggal di pelosok daerah yang jauh dari perkotaan, serta memberikan saran kepada pemerintah untuk mendukung penuh program digitalisasi bisa terlaksana dan berjalan seiring waktu dan zaman yang semakin terus berkembang. Metode penelitian yang digunakan adalah deskriptif kualitatif. Hasil penelitian ini menunjukkan bahwa (1) program digitalisasi pelayanan publik dalam sektor kependudukan adalah hal yang sangat dibutuhkan masyarakat khususnya memberikan rasa aman dan nyaman kepada masyarakat dari unsur-unsur gratifikasi dan pungli, serta memberikan kemudahan kepada masyarakat yang tinggal di pelosok daerah untuk mengakses pelayanan publik dengan lebih cepat tanpa memikirkan ongkos transportasi yang memang menjadi kendala masyarakat desa. (2) teknologi juga meningkatkan layanan publik, menjadikannya lebih tepat guna, efektif, dan relevan. Karena itu, layanan publik menjadi lebih terjangkau dan responsif. Saran dari adanya penelitian ini adalah diharapkan pemerintah juga melakukan digitalisasi di semua sektor pelayanan publik lainnya di Indonesia, memberdayakan generasi muda untuk membantu memajukan transformasi era digital, serta mengawasi program digitalisasi yang telah ada agar tetap transparansi dan bebas dari unsur-unsur gratifikasi dan pungli.
Pelaksanaan Good Governance dalam Pelayanan Publik di Kantor Desa Nusa Makmur Kecamatan Air Kumbang Kabupaten Banyuasin
Authors: Akbar Susanto Rizki , Budi Setiawan Maharani
Published: November 2024

Penerapan prinsip good governance dalam pelayanan publik dapat terwujud apabila pelayanan di kantor desa dilaksanakan secara transparan, responsif, efektif dan efisien waktu. Artikel ini bertujuan untuk Mengetahui Pelaksanaan Prinsip-Prinsip Good Governance Dalam Pelayanan Publik Di Kantor Desa Nusa Makmur Kecamatan Air Kumbang Kabupaten Banyuasin serta faktor pendukung dan penghambatnya. Penelitian ini, penulis menggunakan pendekatan deskriptif kualitatif yaitu suatu rumusan masalah yang memandu penelitian untuk mengeksplorasi atau memotret situasi sosial yang akan diteliti secara menyeluruh, luas dan mendalam Hasil penelitian menunjukkan bahwa pelaksanaan good governance dalam pelayanan publik sudah cukup maksimal, terlihat dari prinsip transparansi, responsivitas, prinsip efektifitas dan efisiensi dalam pelayanan publik di Kantor Desa Nusa Makmur Kecamatan Air Kumbang Kabupaten Banyuasin.
Pemanfaatan Media Sosial untuk Kampanye Sosial dan Keterlibatan Masyarakat: Studi Kasus Mahasiswa Di Kota Palembang
Authors: Dwi Ahmad , Syaban Zulfiqar Ahmad , Zubaidah Siti
Published: November 2024

Penelitian ini bertujuan untuk mengkaji pemanfaatan media sosial oleh mahasiswa dalam kampanye sosial dan keterlibatan masyarakat. Media sosial telah menjadi alat penting dalam menyebarkan informasi dan membangun kesadaran tentang isu-isu sosial. Mahasiswa, sebagai agen perubahan, memiliki peran dalam memanfaatkan media sosial untuk tujuan positif. Penelitian ini menggunakan metode kualitatif dengan pendekatan studi kasus instrinsik, melibatkan wawancara mendalam dengan mahasiswa yang pernah terlibat dalam kampanye sosial melalui media sosial. Hasil penelitian menunjukkan bahwa mahasiswa menggunakan media sosial tidak hanya untuk menyebarkan informasi, tetapi juga untuk menggalang dukungan, dan menciptakan ruang diskusi. Faktor-faktor seperti , konsistensi, dan kemampuan dalam mencari kebenaran informasi berperan penting dalam keberhasilan kampanye. Selain itu, ditemukan bahwa keterlibatan partisipasi masyarakat dapat dilakukan dengan melibatkan tokoh masyarakat membuat informasi yang disampaikan dalam kampanye sosial mudah dipercaya dan diterima oleh masyarakat, sehingga dapat mendorong partisipasi aktif dalam berbagai kegiatan sosial. Terdapat juga tantangan masyarakat menolak kampanye sosial dan masyarakat tidak tertarik dengan kampanye sosial. Penelitian ini menyimpulkan bahwa media sosial merupakan alat yang efektif bagi mahasiswa dalam menjalankan kampanye sosial dan meningkatkan keterlibatan masyarakat.
Analisis UUJN tentang Standar Honor Notaris dalam Menjalankan Kewenangan selain Membuat Akta Otentik
Authors: Faedhatu Rahma , Hermawan Sapto , Mulyanto Mulyanto
Published: November 2024

A notary is a public official who has the authority to make authentic deeds and has other authorities as intended in the UUJN or other laws. As is known, the authority of a notary is not only limited to making authentic deeds but also has other authorities. In this research, researchers want to analyze how the UUJN regulates honorariums related to notary authority in matters other than making authentic deeds. The research methodology used in this research is normative juridical with a statutory approach and a conceptual approach with grammatical interpretation analysis. Notary fees are associated with philosophical, juridical, economic and sociological exigencies. Providing an honorarium to a notary in addition to his authority in an authentic deed is very necessary because it provides legal protection for the rights that a notary should receive for the services provided. Determining the honorarium aims to provide legal protection and legal certainty to notaries.
 
Notaris adalah pejabat umum yang berwenang untuk membuat akta otentik dan memiliki kewenangan lain sebagaimana dimaksud dalam UUJN atau undang-undang lainnya. Sebagaimana hal tersebut diketahui bahwa wewenang notaris tidak hanya sebatas membuat akta otentik saja namun juga ada kewenangan-kewenangan lain. Dalam penelitian ini, peneliti ingin menganalisa mengenai bagaimana UUJN mengatur tentang honorarium terkait kewenangan notaris dalam hal selain membuat akta otentik. Metodelogi penelitian yang digunakan dalam penelitian ini adalah yuridis normatif dengan pendekatan perundang-undangan serta pendekatan konseptual dengan analisis penafsiran gramatikal. Honorarium notaris dikaitkan dengan urgensi filosofis, yuridis, ekonomis dan sosiologis. Pemberian honorarium kepada notaris selain kewenangannya dalam akta autentik sangat diperlukan karena untuk memberikan perlindungan hukum atas hak yang seharusnya diterima oleh notaris atas jasa yang telah diberikan. Penetapan honorarium bertujuan untuk memberikan perlindungan hukum dan kepastian hukum kepada notaris.
Implementasi Program Keluarga Harapan (PKH) di Kota Palembang
Authors: Larasati Chairani Annisa
Published: November 2024

Poverty is a global problem experienced by all countries, including Indonesia. There are many efforts made by a country to overcome the problem of poverty, in Indonesia itself the Program Keluarga Harapan (PKH) is present as one of the efforts made by the Indonesian government to overcome the problem of poverty. This research aimed to examine the issues faced by the City of Palembang in implementing the Program Keluarga Harapan (PKH). The method used in this research is descriptive qualitative and uses policy implementation theory from Merilee S. Grindle. The results of this research indicate that the implementation of the Program Keluarga Harapan (PKH) in Palembang City was not implemented well. The policy content indicators show that this program has a target group, benefits obtained, clear decision-making, and the existence of resources. However, this program has not been successful in effecting behavioral changes among Keluarga Penerima Manfaat (KPM) members, as evidenced by their inability to properly utilize program assistance and their lack of preparedness for independence. The context of implementation indicators shows the strengths, interests, and strategies of the actors involved in this program as well as the clear character of the ruling institutions. However, compliance and responsiveness of assistance from the program are still lacking.
Kemiskinan merupakan suatu masalah global yang dialami semua negara termasuk Indonesia. Banyak usaha yang dilakukan oleh sebuah negara untuk mengatasi permasalahan kemiskinan, di Indonesia sendiri Program Keluarga Harapan (PKH) hadir sebagai salah satu usaha yang dilakukan oleh pemerintah Indonesia untuk mengatasi permasalahan kemiskinan. Tujuan dilakukan penelitian ini untuk melihat permasalahan yang dihadapi Kota Palembang dalam implementasi Program Keluarga Harapan (PKH). Metode yang digunakan dalam penelitian ini merupakan deskriptif kualitatif dan menggunakan teori implementasi kebijakan dari Merilee S. Grindle. Hasil penelitian ini menunjukkan bahwa implementasi Program Keluarga Harapan (PKH) di Kota Palembang belum terlaksana dengan baik. Pada indikator isi kebijakan menunjukkan bahwa program ini sudah memiliki kelompok sasarannya, manfaat yang didapatkan, pengambilan keputusan jelas, dan adanya sumber daya. Namun, program ini belum bisa menunjukkan perubahan terkait perilaku dari Keluarga Penerima Manfaat (KPM) yang terlihat dari perilaku mereka yang belum bisa memanfaatkan bantuan dari program ini dengan benar dan ketidaksiapan mereka untuk mandiri. Pada indikator lingkungan implementasi menunjukkan adanya kekuatan, kepentingan, dan strategi aktor yang terlibat dalam program ini serta karakter lembaga penguasa yang jelas. Namun, kepatuhan dan daya tangkap dari penerima bantuan yang masih kurang.
Stakeholder Mapping dalam Formulasi Kebijakan Tentang Pengelolaan Persampahan di Kota Lubuklinggau
Authors: Sartika Sartika , Yogopriyatno Jatmiko
Published: November 2024

Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis peran serta posisi pemangku kepentingan dalam formulasi kebijakan pengelolaan sampah di Kota Lubuklinggau. Menggunakan pendekatan kualitatif deskriptif, data dikumpulkan melalui wawancara mendalam, observasi, dan analisis dokumen selama tiga bulan, dan melibatkan 15 informan kunci dari berbagai kategori pemangku kepentingan. Uji keabsahan data dilakukan melalui triangulasi sumber dan perpanjangan keterlibatan, dengan analisis data menggunakan model interaktif Miles dan Huberman. Hasil penelitian menunjukkan dominasi aktor pemerintah dalam proses formulasi kebijakan, sementara keterlibatan aktor non-pemerintah dan masyarakat masih terbatas. Pemetaan stakeholder mengungkapkan variasi tingkat ketertarikan dan kekuatan di antara para aktor, dengan Walikota, DPRD, dan Dinas Lingkungan Hidup sebagai pemain utama. Berdasarkan temuan ini, penelitian merekomendasikan untuk dilakukannya penelitian lanjutan dengan berfokus untuk mengidentifikasi secara lebih detail subkelompok atau individu kunci dalam setiap kategori pemangku kepentingan dan mengembangkan suatu model atau kerangka kerja untuk mengaktivasi dan mengoptimalkan peran berbagai pemangku kepentingan dalam pengelolaan sampah. Dengan adanya penelitian lanjutan dari penelitian ini, diharapkan dapat menghasilkan pemahaman yang lebih mendalam tentang jaringan aktor dalam kebijakan pengelolaan sampah di Kota Lubuklinggau, serta menghasilkan strategi konkret untuk mengoptimalkan kolaborasi multi-stakeholder.
Development of Staff Evaluation Software Based on Association Matrix Methods and Data Mining Using the Streamlit Framework
Authors: Susetyo Yosia Adi , Parhusip Hanna Arini , Trihandaru Suryasatriya
Published: November 2024

This study discusses evaluating employee performance in microbiology laboratories using an association matrix implemented in web-based software with the Streamlit framework. The purpose of the research is to improve the employee performance evaluation process, which previously used conventional methods. This software is built from a sample receipt recording history data stored in a MySQL database. The initially unstructured data was processed using Python libraries such as NumPy, Matplotlib, Pandas, and Difflib to generate personnel evaluation information such as specialization, task duration, workload, and individual competencies. This software can provide a fast and accurate performance assessment according to the evaluation period. In a test with the System Usability Scale (SUS), the software scored 75.83, which was rated "good.". These results show that the software is easy to use and can improve the efficiency of employee performance evaluation. Follow-up tests with questionnaires given to 18 users showed that this system was preferable to previous conventional methods. This software helps laboratory managers evaluate employee performance effectively and efficiently.
Combining Oversampling and Pretrained Feature Extractor For Classification Diabetic Foot Uclear Thermogram Images
Authors: Jepriana I Wayan , Budaya I Gede Bintang Arya , Pradipta Gede Angga , Ayu Putu Desiana Wulaning
Published: November 2024

Diabetic Foot Ulcers (DFUs) represent a significant health concern, often leading to severe complications if not diagnosed and treated promptly. Early and accurate classification of DFUs is crucial for effective patient management. However, In the realm of machine learning, the imbalanced data problem is a prevalent issue that arises when the classes in a dataset are not represented equally. This study proposes a novel approach to enhance the classification performance of DFU thermogram images by integrating oversampling techniques with pretrained feature extractors. This study use pretrained model method with InceptionV3 architecture to automatically obtain features in the DFU thermogram datasets. Overall, InceptionV3 as a feature extractor resulted in satisfactory performance, achieving an accuracy of 83.1% on non-diabetic data and 81.1% on diabetic data. Subsequently, the second experiment incorporated the oversampling technique SMOTE, leading to an improvement in performance, with accuracy rising to 98.1% on non-diabetic data and 96.1% on diabetic data. Finally, the SMOTE IPF method achieved accuracy of 98.7%, with a precision of 99.1% for the diabetic class and 98.7% for the non-diabetic class, a recall of 98.2% for the diabetic class and 98.1% for the non-diabetic class, and F-Measure of 98.1% for both the diabetic and non-diabetic classes.
Analysis of K-NN with the Integration of Bag of Words, TF-IDF, and N-Grams for Hate Speech Classification on Twitter
Authors: Hadi Kuncoro , Utami Ema
Published: November 2024

Social media has emerged as one of the primary communication channels in the modern world, but it has simultaneously become a platform where hate speech can spread easily. This study attempts to evaluate the performance of a hate speech classification model using the K-Nearest Neighbors (K-NN) algorithm along with various feature extraction techniques, specifically Bag of Words (BoW), Term Frequency-Inverse Document Frequency (TF-IDF), and N-Grams. The dataset used in this study consists of 13169 entries, which represent a diverse range of hate speech examples commonly encountered on social media platforms. In this experimental investigation, we assess the efficacy of the model using each feature extraction technique. The findings reveal that the K-NN model exhibits optimal performance when the k parameter is set to 3 (k=3). Under this configuration, the model achieves an accuracy of 86.88%, with a precision of 88.27%, a recall of 86.88%, and an F1-Score of 86.50%. These results show that the integration of TF-IDF feature extraction technique with K-NN algorithm produces superior performance in hate speech classification.
Pengembangan Augmented Reality Marketing (ARM) Menggunakan Algoritma Fast Corner Sebagai Media Promosi Produk Furniture Pelaku Usaha
Authors: Yusupa Ade
Published: November 2024

Augmented Reality marketing (ARM) merupakan teknologi yang mengkombinasikan benda maya baik itu berbentuk 2 dimensi( 2D) atau 3 dimensi( 3D) ke dalam suatu area jelas dalam penggunaan penjualan produk. Aplikasi Augmented Reality( AR) ini dibuat memanfaatkan penanda (marker) sebagai pemicu (trigger) guna menunjukkan produk furniture. Aplikasi yang dipakai untuk pembuatan aplikasi ialah Unity dengan Vuforia serta untuk objek 3D memakai aplikasi Blender. Metode yang akan diterapkan berupa metode waterfall dalam pengembangan Aplikasi Furniture ARM peningkatan dengan algoritma fast corner dengan menggunakan nilai pixel pada objek menampilkan produk Furniture dalam wujud 3D. Pada prosedur scan AR jarak minimun marker dengan kamera ponsel pintar ialah 10 centimeter serta maksimum 160 centimeter, dengan sudut kemiringan 30, 45, 60, serta 90 bagian. Hasil pengetesan itu pula dipengaruhi oleh algoritma fast corner dengan menggunakan nilai pixel pada objek, semakin jauh jarak kamera ataupun pixel pada kamera, hingga nilai pixel itu tidak terdeteksi serta objek tidak bisa terdeteksi. Intensitas sinar pula mempengaruhi dalam cara scan AR, pada ruangan terang serta redup aplikasi bisa menunjukkan produk furniture, sebaliknya pada ruangan gelap tidak bisa diperlihatkan. Nilai delay amat mempengaruhi kepada Intensitas sinar serta jarak, dimana diperoleh angka delay terkecil pada ruangan cerah serta delay terbesar pada ruangan redup, setelah itu semakin jauh jarak antara marker dengan ponsel pintar hingga semakin besar angka delaynya. Dengan memakai pengujian Mean Opinion Score, diharapkan didapat hasil angka MOS terbaik, Furniture 3D yang diperlihatkan serta Aplikasi Furniture AR amat sesuai selaku alat promosi produk furniture, menunjang para pelaku usaha di kota manado dalam memudahkan promosi hasil produksi.