bluuebunny/crossref_metadata_2025_split huggingface dataset:
Uncontrolled Glycemic Level and its Associated Factors among Adult Diabetes Mellitus Patients Who Visited Diabetic Clinic of Tibebe Ghion Specialized Hospital, Bahir Dar, Northwest Ethiopia
Authors: Yabebal Yihealem , Genetu Abere , Wassie Gizachew Tadesse 
Published: July 2024

Abstract

Background: Despite the advancement of glycemic management in diabetes, achieving target glycemic control in clinical practice is very challenging. As a result, identifying the factors that influence glycemic control is crucial to improve the quality of people living with diabetes.
Objective: To assess the uncontrolled glycemic level and its associated factors among adult Diabetes mellitus patients on follow up at the Diabetic clinic of Tibebe Ghion Specialized Hospital, 2023.
Methods: An institution based cross sectional study was conducted among 229 adult diabetes mellitus patients at Tibebe Ghion Specialized Hospital from November 2023 to January 2024. The samples were selected using systematic random sampling technique. Pretested, structured, and interviewer-administered questionnaires were used to collect sociodemographic, diabetes self-care and diseases related factors parameters. HbA1c was used to assess glycemic control. Data were entered using Epidata Manager version 4.6 and analyzed using SPSS version 27. Multivariable logistic regression analysis was used to identify determinants of glycemic control, considering with a p-value of <0.05 as statically significant, with a 95% confidence interval.
Results: The mean HbA1c of the participant in the past 3 months were 8.0% [SD ± 1.8547%] and 158(69.0%) participants were having poor and or inadequate HbA1c (HbA1c ≥ 7.0). Not having access to self-monitoring blood glucose (SMBG) tools (AOR=5.48 ,95%CI 2.21-13.57), polypharmacy (AOR = 3.68, 95%CI 1.17-11.59), minimal physical activity (AOR = 3.52, 95%CI 1.17-10.53), physical inactivity (AOR = 6.55, 95%CI 2.20-19.42), poor medication adherence (AOR = 8.05, 95%CI 2.53-25.56) and body mass index (BMI) ≥ 25.0kg/m2 (AOR = 4.37, 95%CI 1.39-13.73) were factors associated with inadequate and poor glycemic control.
Conclusions:This study revealed that seven out of 10 participants had inadequate and or poor glycemic control levels. Poor glycemic control practice was associated with not having access to SMBG tools, taking poly-pharmacy, sedentary life style, poor medication adherence and BMI ≥ 25.0kg/m2. Effective and tailored interventions are needed to mitigate exposure to these risk factors to improve glycemic control and reduce uncontrolled diabetes related complications.
Metaheuristics Portfolio Optimization for Resource-Constrained Project Scheduling Problems with Milestones Payments
Authors: Phuntsho Tshewang , Gonsalves Tad 
Published: July 2024

Abstract

Resource constrained project scheduling problem with milestone payments (RCPSPDCF-MP) is an intractable combinatorial problem. This has prompted researchers to propose a variety of metaheuristic approaches to address the problem. Hybridizing different metaheuristics to produce synergetic effect is a complex endeavor. In this study, we propose a distributed adaptive metaheuristics selection (DAMS) that leverages distributed computing nodes of modern computing architecture to hybridize heterogeneous metaheuristics, evaluated based on Chernoff-Hoeffding upper confidence bounds (UCB1) to solve RCPSPDCF-MP. Our DAMS framework selects a tailored set of metaheuristics for each problem instance (project) from five different metaheuristics customized to solve RCPSPDCF-MP. The parameters of each metaheuristic were tuned off-line using classical particle swarm optimization (PSO). Our proposed framework is examined using project sets from the test library, Project Scheduling Library (PSPLIB). Experiments show that the hybrid of metaheuristics generated by UCB1 based DAMS framework outperform existing methods from the literature.
Timeliness of Malaria Treatment in Children Under Five Years in Uganda: An Analysis of 2016 Demographic Health Survey Data
Authors: Asiimwe John Bosco , Kadubira Eriot 
Published: July 2024

Abstract

Background: Malaria is ranked among the major causes of morbidity and mortality in children under 5 years of age in Uganda. Prompt and early appropriate malaria treatment can prevent progression of illness to severe stages, thereby mitigating mortality and morbidity. Therefore, this study aimed at determining the factors associated with timeliness to malaria treatment in children under five years in Uganda.
Method: This study used 2016 Uganda Demographic and Health Survey data and a total of 4,063 children under age of five years who had fever as a proxy for malaria two weeks prior to the survey were included. The median time to malaria treatment using Kaplan Meier curve were computed. A multivariable Cox regression model were fitted to establish factors associated with time to malaria treatment. Proportional hazard assumption was checked graphically and using Schoenfeld residual statistical test.
Results: Forty one percent of the children delayed to receive prompt malaria treatment beyond the recommended 24 hours. The median time to malaria treatment was 24 hours after onset of malaria symptoms. Children whose mothers made decisions jointly as a wife and a spouse on treatment were associated with faster time to malaria treatment (HR=1.11, 95%CI: 1.02-1.21) compared to when the mother made decisions alone. Children whose mothers sought treatment from community health workers were associated with faster time to malaria treatment (HR=1.17, 95%CI: 1.02-1.34) compared to those who did not. Children whose mothers/caregivers were from Western region (HR=0.84, 95%CI: 0.73-0.96) of the country were associated with delayed time to malaria treatment compared to other regions of the country. Similarly, children whose mothers frequently listened to radio were significantly associated with faster time (HR=1.11, 95%CI: 1.02-1.21) to treatment of malaria compared to those who did not listen to radio.
Conclusion: Faster time to malaria treatment was significantly associated with joint spousal health decision making, utilization of community health workers, not being in Western region of Uganda and frequency of listening to radio. Thus malaria control initiatives should focus its strategy on strengthening health interventions through introduction of programmes that can empower joint spousal decision making capabilities, facilitations and equipping of community health workers with malaria treatment, and increased frequent use of radios to relay malaria messages to communities.
Immediate Effects of Mindful Awareness in Body-oriented Therapy as an Adjunct to Medication for Opioid Use Disorder
Authors: Price Cynthia U. , Pike Kenneth C. , Treadway Anna , Palmer Julia , Merrill Joseph O. 
Published: July 2024

Abstract

Objective
While effective, medication for opioid use disorder (MOUD) treatment outcomes can be limited by co-occurring polysubstance use, mental health and chronic pain conditions. Interoceptive training may facilitate well-being and support medication treatment for MOUD. This study examined the pre-post effects of the mindfulness-based intervention Mindful Awareness in Body-oriented Therapy (MABT) as an adjunct to MOUD. MABT teaches interoceptive awareness skills to promote self-care and emotion regulation.
Methods
People stabilized on medication for OUD (N = 303) from 6 community clinics in Northwestern United States were recruited and randomly assigned to MABT plus MOUD or MOUD only. In a mixed-methods study, we used an intent-to-treat approach to examine the proportion of days abstinent from non-prescribed opioids, and other substance use (primary outcomes) at baseline and 3 months post-intervention. Secondary outcomes included symptoms of mental health distress; emotional regulation difficulties; pain and physical symptom indicators; interoceptive awareness and mindfulness skills. Participant experience of MABT was collected through post-intervention surveys. Changes in outcomes were assessed using linear mixed models; content analysis was used to analyze the qualitative data.
Results
Levels of overall substance use were low and did not differ between groups. Significant improvements in PTSD symptoms, interoceptive awareness, pain severity, pain activity interference, and physical symptom frequency were found for those who received MABT compared to MOUD only.
Conclusion
In this stable MOUD population, substance use outcomes were not improved, however MABT demonstrated significant positive changes across multiple health outcomes critical for improving MOUD treatment. Clinical Trials Registration: NCT04082637 on 9/3/2019
Applications of CRISPR in Parasitology
Authors: Tee Phoebe Yon Ern , Chu Sylvester Yee Chun , Kok Chloe Chien Yee , Foo Mun , Tan Clarence Zhen Jin , Foo Jhi Biau , Mohd Hatta Fazleen Haslinda , Tan Li Kar Stella , Hamzah Sharina 
Published: July 2024

Abstract:
Clustered Regions of Interspersed Palindromic Repeat (CRISPR)-based techniques
have been utilized in various research areas, including agriculture, biotechnology, and medicine.
With the use of a short sequence guide RNA and CRISPR-associated (Cas) protein, this
technique allows for robust, site-specific manipulation of the genome, aiding researchers in
making important biomedical discoveries and scientific advancements. In this review, we
explored the applications of CRISPR/Cas systems in the field of parasitology for the
identification and validation of novel functional genes, diagnosis of parasitic infections,
reduction of parasite virulence, and the disruption of disease transmission. We also discussed
how CRISPR can be used for the development of therapeutics, vaccines, and drug discovery.
Furthermore, the challenges and future perspectives of this technology are also highlighted.
Assessment of Analytical Techniques for Precise Quantification of Four Antiviral Drugs in Pharmaceutical Research and Development: A Comprehensive Review
Authors: Gupta Akhil , Pathak Shilpi 
Published: July 2024

:
Precise measurement of drug concentration in pharmaceutical research is critical, especially
for anti-viral drugs like boceprevir, elvitegravir, indinavir, and saquinavir that combat viral
infections. It is well-known that analytical techniques play an imperative role in identifying and
characterizing active pharmaceutical ingredients in biological samples and drug formulations.
Moreover, precise drug assessment directly influences safety, stability, and efficacy while providing
in-depth insight into drug pharmacokinetics. Other than this, analytical techniques also aid in
identifying impurities, deteriorated products, and potential pollutants. Thus, reliable analytical
methods have become crucial for addressing challenges imposed by complex drug formulations.
The most commonly used analytical technique is UV spectrophotometry, which does not have the
high sensitivity to detect complex drug formulations. In contrast, Liquid Chromatography-Mass
Spectrometry/Mass Spectrometry (LC-MS/MS) merges two analytical techniques, chromatography
and mass spectrometry, to accurately quantify biological samples. Furthermore, Ultra-Performance
Liquid Chromatography (UPLC) provides enhanced resolution, faster analysis in short duration,
and low solvent consumption in contrast to HPLC. This comprehensive review aims to critically
assess each analytical approach's accuracy, applicability, selectivity, and limitation to provide
valuable insights for researchers and analysts. Understanding the weaknesses and strengths of
these analytical techniques will enable the researchers to select the suitable analytical method
based on their needs and requirements for quality assessment, precise drug quantification, and optimal
therapeutic efficiency. Eventually, this review intends to advance pharmaceutical research
and development, specifically for anti-viral drugs, by ensuring the effective and secure administration
of therapies.
Cutting-edge Approach of Carbon Nanostructures: Targeted Drug Delivery to Central Nervous System
Authors: S. Venishaa , Guleria Mridul , Kumar Prashant , Bhowmick Mithun , Bhowmick Pratibha , Ashique Sumel , Husain Iqbal , Pal Radheshyam 
Published: July 2024

Abstract:
Drug delivery through the blood-brain barrier (BBB) is one of the key challenges in
the modern era of medicine due to the highly semipermeable characteristics of BBB that restrict
the entry of various drugs into the central nervous system (CNS) for the management of brain
disorders. Drugs can be easily incorporated into carbon nanocarriers that can cross the bloodbrain
barrier. Numerous nanocarriers have been developed, including polymeric nanoparticles,
carbon nanoparticles, lipid-based nanoparticles, etc. Among these, carbon nanostructures could
be superior due to their easier BBB penetration and strong biocompatibility. Several CDs (Carbon
dots) and CD-ligand conjugates have explored effectively penetrating the BBB, which enables
significant progress in using CD-based drug delivery systems (DDS) to manage CNS diseases.
Despite the drug delivery applications, they might also be used as a central nervous system
(CNS) drug; few of the carbon nanostructures show profound neurodegenerative activity.
Further, their impact on neuronal growth and anti- amyloid action is quite interesting. The present
study covers diverse carbon nanostructures for brain-targeted drug delivery, exploring a variety
of CNS activities. Moreover, it emphasizes recent patents on carbon nanostructures for
CNS disorders.
Web-assisted living diversity digital teaching materials to improve students' science literacy and environmental attitudes
Authors: Apriliana Megah Sri Retno , Rohman Fatchur , Suhadi S. 
Published: July 2024

The 21st century skills measured at Senior High School 9 Malang are communication, collaboration, critical thinking, and creativity, while science literacy and environmental attitudes have never been measured before. This study aims to improve students' science literacy and environmental attitudes in a valid, practical, and effective way. The research and development model refers to Lee and Owens, which was implemented in Grade X Senior High School 9 Malang with a sample size of 34 people. The developed teaching materials were tested for validity, practicality, and effectiveness. In addition to expert validation tests, empirical validity tests were also carried out using Pearson product moment and reliability using Cronbach's alpha. The results obtained from the development of web-assisted digital teaching materials on the diversity of living things are valid, practical, and effective. The empirical validity value using Pearson's product moment obtained significance <0.05, so that the valid criteria were obtained, and the reliability value of Cronbach's alpha obtained 775 reliable categories. The effectiveness test results using N-gain obtained a value of 0.43 in the moderate category.
The Stateof Exports of High-Tech Products in Russia
Authors: Gambaryan R. G. 
Published: July 2024

Aim. To determine the general state of Russia’s high-tech exports in the following areas: the relationship with other sectors of the economy and with the dynamics of GDP, positions on the world stage, relations with partner countries.Tasks. To achieve the aim of the study, the following tasks were set: to consider the dynamics of Russia’s export structure, to explore Russia’s position in the world in high-tech exports, to calculate the time lag of Russia’s lag behind the leading countries in high-tech exports, to analyze Russia’s role in the hightech market of the main partner countries, to explore the structure of Russia’shigh-tech exports in the context of commodity groups.Methods. To determine high-tech exports and imports, the methodology of the World Bank is used, according to which 9 industries (aerospace, computer and office equipment, electronics and telecommunications, pharmaceuticals, scientific instruments, electric machines, chemicals, nonelectric machines and weapons), including 79 commodity nomenclatures. At the same time, based on the availability of information, the values for the export of weapons are not taken into account.Results. The analysis of changes in high-tech exports has been carried out, which identifies periods of negative changes that coincide with periods characterized by adverse circumstances in the country and the world (pandemic, geopolitical and geo-economic tensions). When comparing graphs of high-tech exports and GDP, ambiguous results were obtained, taking into account the consideration of high-tech exports in calculating GDP. The time lags of the backlog have been calculated, according to which, in most cases, the values of the leading countries in high-tech exports are achievable, but the time lags themselves are enormous. The commodity spectrum of high-tech exports and imports of the Russia is considered, according to which Russia exports the entire commodity spectrum of the high-tech industry.Conclusions. The dominant role in Russia’s exports is still assigned to fuel and mining products with observed changes in terms of increasing the share of industrial products, including high-tech products, in which Russia, although an active participant, is nevertheless at a disadvantage in interactions with the main partner countries.
A note on repunit number sequence
Authors: Santos Douglas Catulio , Costa Eudes Antonio 
Published: July 2024

In this paper, we investigate the classical identities of the repunit sequence with integer indices in light of the properties of Horadan-type sequences. We highlight particularly the Tagiuri-Vajda Identity and Gelin-Cesàro Identity. Additionally, we prove that no repunit is a perfect power, either even or odd. Finally, we address a divisibility criterion for the terms of repunit rn by a prime p and its powers.
ANALISIS KELAYAKAN FINANSIAL DAN DAYA TERIMA INOVASI PRODUK MOCHI NANAS (MONAS)
Authors: Safitri Laras Sirly , Mukminah Nurul , Rahayu Wiwik Endah 
Published: July 2024

This research aims to analyze the financial feasibility of the pineapple mochi product innovation (Monas) and determine its acceptability based on sensory quality. This research was conducted in May - August 2023 using a quantitative descriptive research design. The financial feasibility of Monas products was analyzed based on the NPV, IRR, Payback Period and R/C ratio values, while acceptability was analyzed using hedonic quality testing on 20 semi-trained panelists. The research results show that Monas product innovation is feasible to be developed with NPV value of IDR 24,505,289.00, IRR value of 51 percent, payback period of 1.79 years, and an R/C ratio value of 1.10. The acceptance of Monas product innovation showed the quality of the bright yellow color, chewy texture, slightly strong aroma typical of pineapple, and the sweet and sour taste typical of pineapple.Keywords: financial feasibility, hedonic quality, pineapple mochi, product innovation
Naive Bayes Classification of Bullying and Non-Bullying Comments in Instagram Social Media Posts
Authors: Naflah Faulina  
Published: July 2024

Machine learning is a type of artificial intelligence that provides computers with the ability to learn from data. There are three main branches of machine learning, namely supervised machine learning, unsupervised learning, and reinforcement learning. One of the categories in supervised machine learning is classification. Classification is the process of assessing a data object where the object is put into a certain class from the number of classes available. An example of a classification algorithm is Naive Bayes with classification using probability and statistical methods. This algorithm is used to classify Bullying and Non-bullying with a division of training data and testing data, namely 60:40, 70:30, and 80:20 resulting in the best accuracy value for training data and testing data 60:40 of 66%.
Penerapan Metode Geographically Weighted Panel Regression Pada Indeks Pembangunan Manusia di Indonesia Tahun 2017-2022
Authors: Deta Erviana  , Mustofa Usman  , Widiarti  , Khoirin Nisa  
Published: July 2024

Regresi linier merupakan metode statistik untuk memeriksa hubungan antara variabel respons dan satu atau lebih variabel prediktor. Dalam sebuah penelitian, satu unit observasi harus diteliti selama beberapa periode waktu, karena mempelajari satu unit dalam satu periode waktu tidaklah cukup. Oleh karena itu, sebuah pendekatan statistik yang disebut analisis regresi panel diciptakan untuk mengintegrasikan data cross-section dan data time series. Namun pada kenyataannya, perbedaan kondisi antar lokasi dipengaruhi oleh efek spasial yang menyebabkan terjadinya heterogenitas spasial. Dikembangkanlah metode Geographically Weighted Regression (GWR) untuk mengatasi masalah heterogenitas spasial. Berdasarkan kelebihan kedua metode tersebut maka berkembanglah suatu metode yang menggabungkan antara regresi data panel dan GWR yaitu Geographically Weighted Panel Regression (GWPR). Tujuan dari penelitian ini adalah untuk mengetahui faktor-faktor yang mempengaruhi indeks pembangunan manusia (IPM) di Indonesia tahun 2017-2022 dan menentukan model terbaik dengan membandingkan model regresi global dan GWPR. Model GWPR dengan pembobot adaptive bisquare merupakan model terbaik dengan nilai AIC terkecil dan R^2 terbesar. Secara keseluruhan semua variabel prediktor yang digunakan dalam penelitian berpengaruh signifikan terhadap IPM pada taraf signifikansi α=0,05. Persamaan model dan variabel yang berpengaruh signifikan yang dihasilkan dalam pemodelan GWPR berbeda untuk setiap provinsi. Berdasarkan kesamaan variabel yang mempengaruhi IPM di provinsi yang letaknya berdekatan membentuk 8 kelompok.
Penggunaan ARIMA Box-Jenskin dalam Meramalkan Harga Emas Antam Tahun 2025-2027 di Indonesia
Authors: Sholiha Sangidatus , Wardhani Utami Dewi  
Published: July 2024

Penelitian ini sangat penting mengingat volatilitas pasar global dan ketidakpastian ekonomi yang semakin meningkat, yang mendorong kebutuhan untuk memiliki alat peramalan yang andal bagi aset-aset lindung nilai seperti emas. Penelitian ini bertujuan untuk meramalkan harga emas Antam di Indonesia untuk periode 2025-2027 menggunakan model ARIMA. Metode kuantitatif dengan desain deret waktu digunakan, dengan data harga emas dari tahun 2021 hingga 2024. Hasil analisis menunjukkan bahwa model ARIMA (1,1,1) adalah yang terbaik dalam meramalkan harga emas Antam, dengan nilai MSE, AIC, dan BIC yang rendah. Peramalan menunjukkan tren kenaikan harga emas dari awal 2025 hingga akhir 2027, mencerminkan kepercayaan pasar terhadap emas sebagai aset lindung nilai yang aman. Kesimpulan dari penelitian ini adalah bahwa peramalan harga emas Antam dapat memberikan wawasan yang penting bagi investor dan pembuat kebijakan untuk merencanakan strategi investasi dan langkah-langkah ekonomi di masa depan.

This research is especially important given the increasing global market volatility and economic uncertainty, which drives the need to have reliable forecasting tools for hedging assets such as gold. This research aims to predict the price of Antam gold in Indonesia for the 2025-2027 period using the ARIMA model. A quantitative method with a time series design was used, with gold price data from 2021 to 2024. The analysis results show that the ARIMA (1,1,1) model is the best in estimating Antam's gold price, with MSE, AIC and BIC values ​​that are low . Forecasts show an upward trend in gold prices from the beginning of 2025 to the end of 2027, reflecting market confidence in gold as a safe hedging asset. The conclusion of this research is that Antam's gold price forecasting can provide important insights for investors and policy makers to plan investment strategies and economic steps in the future.