bluuebunny/crossref_metadata_2025_split huggingface dataset:
Decoding the Knacks of Ellagitannin Lead Compounds to Treat Nonalcoholic Fatty Liver Disease using Computer-aided Drug Designing
Authors: Shahid Hina , Ibrahim Muhammad , Alonazi Wadi B. , Chi Zhanyou 
Published: October 2024

Background:
The prevalence of nonalcoholic fatty liver disease (NAFLD) is increasing
globally, impacting individuals in Western nations and rapid growing in Asian countries due
to sedentary lifestyles; thus, NAFLD has emerged as a significant worldwide health concern.
Presently, lifestyle changes represent the primary approach to managing NAFLD.

Methods:
This research aimed to identify the potential drug targets for treating NAFLD
through comprehensive in silico computational analysis. These include the prediction of the
three-dimensional structure of the protein, the prediction of inhibitors by PubChem and ZINC,
molecular docking by Autodcok, pharmacophore modeling, molecular dynamics simulation by
the OPLS_2005 force field, and the orthorhombic box solvent model Intermolecular Interaction
Potential 3 Points Transferable to the selected compound. The toxicity of the lead compounds
was analyzed through AdmetSAR software.

Results:
The protein associated with the PNPLA3 gene, whose overall three-dimensional structure
was 95% accurate, were retrieved following inhibitor selection via PubChem and ZINC.
Among the selected inhibitors and docked compounds with ID 10033935 (ellagitannin) showed
a minimum E-Score of -17.266. In docking and pharmacophore modeling the compound ellagitannin
shows promise as a potential drug candidate. Moreover, the molecular dynamics and
structural stability of the protein-ligand complex were evaluated with several metrics such as as
root mean square fluctuation and root mean square deviation and resulted in the stability not
only of PNPLA3-10033935 (ellagitannin) but also of compound PNPLA3-71448940 and
PNPLA3-5748394 complexed proteins at 400 ns with very slight variation.

Conclusion:
Overall, ellagitannin was identified as the best druggable target with the best therapeutics
profile. The findings of our study can pave the way for the development of a new drug
against NALFD.
Changes of Unit Cell Parameters in Lactose Saturated by Substances Technologically Processed by Dilution
Authors: R.R. Konstantinov , N.N. Rodionova , E.O. Khimich , D.A. Skakun , A.O. Petrova , S.A. Tarasov 
Published: October 2024

Background:
Our research investigates how the structure of a lactose matrix can be
altered by the specific drugs used to saturate it. In particular, we examine whether ultra-high
dilutions of substances, such as antibodies, can change the crystal structure of lactose.

Methods:
We employed methods including X-ray diffractometry, Raman spectroscopy, and
granulometric content analysis.

Results:
Our findings suggest that once saturated with highly diluted substances, lactose does
indeed gain and retain changes in its crystalline structures [particularly cell parameters a, b, c,
β]. These changes are most pronounced between intact and saturated lactose samples, and there
are also differences observed when using different solutions for saturation.

Conclusion:
The results support the idea that ultra-high dilutions can irreversibly change the
structure of lactose, potentially due to differences in solution wetting and subsequent recrystallization
of the lactose matrix.
Unveiling the Underlying Mechanisms Related to the Biological Activities of Cynometra cauliflora
Authors: Md Zin Siti Rosmani , Hashim Noor Eliza , Das Srijit , Zulkafli Intan Suhana 
Published: October 2024

Abstract:
Cynometra cauliflora Linn. (C. cauliflora), a member of the Fabaceae family within the
Cynometra genus, is an underrated medicinal plant in Malaysia. It features frog-like fruits and is
known locally as Namnam. The plant grows in tropical regions and is used in the traditional treatment
of various medical conditions. Previous studies have revealed a broad range of its pharmacological
benefits, including antioxidant, anti-inflammatory, anti-diabetic, anti-lipase, anti-diarrheal,
cytotoxic, anti-microbial, and anti-cholinesterase properties. The active constituents identified in C.
cauliflora are thought to contribute to its diverse range of biological activities. Research shows that
different parts of C. cauliflora contain phenolic compounds, tannins, saponins, and flavonoids. The
leaves and bark also have cardiac glycosides, while the fruit is rich in flavonoids, triterpenoids, saponins,
and tannins. Furthermore, ethanol extracts of its leaves were found to contain vitamin C and its
major constituent, vitexin. In this review, the biological activities of C. cauliflora are explored and
reviewed through various literature sources, aiming to highlight the mechanisms and compounds that
underlie its potential as a source for natural therapies.
Allelopathic Potential of Volatile Oils from Mentha piperita and Chrysanthemum coronarium Growing in Western Algeria
Authors: Zatla Amina Tabet , Hammoudi Amina , Dib Mohammed El Amine 
Published: October 2024

Background:
The allelopathic effects of the essential oils of M. piperita and C. coronarium
on seed germination of two wheat species qualify them as bio-herbicides.

Objective:
In order to search for natural plant-based products that may have herbicidal action, we
selected two plant species, M. piperita and C. coronarium, to evaluate the allelopathic potential of
their essential oils on wheat seed germination of two wheat species.

Methods:
Aerials parts of M. piperita and C. Coronarium were subjected to hydrodistillation using
a Clevenger-type apparatus to extract essential oils, followed by characterization using gas chromatography
coupled with mass spectrometry. Bioassays were conducted with ethanol as the organic
solvent, employing three concentrations (0.25, 0.5, and 0.75 μl/ml of oil/ethanol) to assess their effects
on the seed and seedling growth of two wheat species.

Results:
Under laboratory conditions, extracts of Mentha piperita and Chrysanthemum coronarium
oils at varying concentrations (0.25 μl, 0.5 μl, and 0.75 μl) were examined for their effects on two
wheat species (Triticum durum L. and Triticum aestivum L.). The yields of the obtained oils were
1.19% and 0.25%, respectively. The chemical composition of the essential oils extracted from M.
piperita and C. coronarium was dominated by oxygenated monoterpenes, representing 97.5% and
94.9%, respectively. The tested essential oils strongly inhibit seed germination and seedling growth
(root length LR and shoot length LPA) of both wheat species studied. The inhibition increased as
the oil concentration increased, although this increase differed between the two species. This study
has shown that the tested essential oils possess an interesting inhibitory allelopathic potential.

Conclusion:
The findings of this study indicate that the tested essential oils possess promising
allelopathic properties, suggesting them as natural bio-herbicides.
Influenza-Like Illness in Lesotho From July 2020 to July 2021: Population-Based Participatory Surveillance Results
Authors: Greenleaf Abigail R , Francis Sarah , Zou Jungang , Farley Shannon M , Lekhela Tšepang , Asiimwe Fred , Chen Qixuan 
Published: October 2024

Abstract

Background
Participatory surveillance involves at-risk populations reporting their symptoms using technology. In Lesotho, a landlocked country of 2 million people in Southern Africa, laboratory and case-based COVID-19 surveillance systems were complemented by a participatory surveillance system called “LeCellPHIA” (Lesotho Cell Phone Population-Based HIV Impact Assessment Survey).

Objective
This report describes the person, place, and time characteristics of influenza-like illness (ILI) in Lesotho from July 15, 2020, to July 15, 2021, and reports the risk ratio of ILI by key demographic variables.

Methods
LeCellPHIA employed interviewers to call participants weekly to inquire about ILI. The average weekly incidence rate for the year-long period was created using a Quasi-Poisson model, which accounted for overdispersion. To identify factors associated with an increased risk of ILI, we conducted a weekly data analysis by fitting a multilevel Poisson regression model, which accounted for 3 levels of clustering.

Results
The overall response rate for the year of data collection was 75%, which resulted in 122,985 weekly reports from 1776 participants. ILI trends from LeCellPHIA mirrored COVID-19 testing data trends, with an epidemic peak in mid to late January 2021. Overall, any ILI symptoms (eg, fever, dry cough, and shortness of breath) were reported at an average weekly rate of 879 per 100,000 (95% CI 782‐988) persons at risk. Compared to persons in the youngest age group (15‐19 years), all older age groups had an elevated risk of ILI, with the highest risk of ILI in the oldest age group (≥60 years; risk ratio 2.6, 95% CI 1.7‐3.8). Weekly data were shared in near real time with the National COVID-19 Secretariat and other stakeholders to monitor ILI trends, identify and respond to increases in reports of ILI, and inform policies and practices designed to reduce COVID-19 transmission in Lesotho.

Conclusions
LeCellPHIA, an innovative and cost-effective system, could be replicated in countries where cell phone ownership is high but internet use is not yet high enough for a web- or app-based surveilance system.
Patients’ Experienced Usability and Satisfaction With Digital Health Solutions in a Home Setting: Instrument Validation Study
Authors: Oudbier Susan J , Smets Ellen MA , Nieuwkerk Pythia T , Neal David P , Nurmohamed S Azam , Meij Hans J , Dusseljee-Peute Linda W 
Published: October 2024

Abstract

Background
The field of digital health solutions (DHS) has grown tremendously over the past years. DHS include tools for self-management, which support individuals to take charge of their own health. The usability of DHS, as experienced by patients, is pivotal to adoption. However, well-known questionnaires that evaluate usability and satisfaction use complex terminology derived from human-computer interaction and are therefore not well suited to assess experienced usability of patients using DHS in a home setting.

Objective
This study aimed to develop, validate, and assess an instrument that measures experienced usability and satisfaction of patients using DHS in a home setting.

Methods
The development of the “Experienced Usability and Satisfaction with Self-monitoring in the Home Setting” (GEMS) questionnaire followed several steps. Step I consisted of assessing the content validity, by conducting a literature review on current usability and satisfaction questionnaires, collecting statements and discussing these in an expert meeting, and translating each statement and adjusting it to the language level of the general population. This phase resulted in a draft version of the GEMS. Step II comprised assessing its face validity by pilot testing with Amsterdam University Medical Center’s patient panel. In step III, psychometric analysis was conducted and the GEMS was assessed for reliability.

Results
A total of 14 items were included for psychometric analysis and resulted in 4 reliable scales: convenience of use, perceived value, efficiency of use, and satisfaction.

Conclusions
Overall, the GEMS questionnaire demonstrated its reliability and validity in assessing experienced usability and satisfaction of DHS in a home setting. Further refinement of the instrument is necessary to confirm its applicability in other patient populations in order to promote the development of a steering mechanism that can be applied longitudinally throughout implementation, and can be used as a benchmarking instrument.
Explainable AI for Transparent MRI Segmentation: Deep Learning and Visual Attribution in Clinical Decision Support
Authors: M Vinoth , V Jayapradha , K Anitha , Kalakoti Gowrisankar , Nithila Ezhil 
Published: October 2024

For medical diagnosis and therapy planning, the importance of accurate MRI segmentation cannot be overemphasized. Conversely, the inscrutability of deep learning models remains obstacles to their application in therapeutic contexts. In this article, an interpretability artificial intelligence framework is introduced. It combines an MRI segmentation model based on deep learning, visual attribution algorithms and natural language explanations. EXPERIMENT The dataset is consisting of plenty of different types of brain MRI scans, and used to test the architecture. The average of Dice score of our method is 88.7% and 92.3% for segmentation of tumor and categorization of tissues, respectively. Both are pretty epic scores. The insights extracted from both the visual attributions and textual explations improve our understanding of how the model arrives at its decisions, thereby increasing the transparency and interpretability of the model. believe this approach to explainable artificial intelligence can help to close the gap between state-of-the-art performance in MRI segmentation and clinical interpretability, by increasing the transparency of complex models and facilitating their implementation into a clinical workflow. Conclusion Our approach may have implications in the transparent and reliable development of AI-based decision support systems for medical imaging
Assessing research needs for informing pet food industry decisions
Authors: Hobbs Lonnie , Shanoyanb Aleksan , Aldrich Greg 
Published: October 2024

Abstract
The global pet food industry continues to grow being fueled by increased pet ownership, higher disposable income of pet owners, and a growing demand for premium products. While this growth has attracted increased interest of researchers in animal nutrition and product formulation, the overall body of management and economic literature to guide product innovation and marketing strategies in the pet food industry is still limited. This study aims to identify and highlight the most important, relevant, and current research needs for informing product and marketing decisions in pet food. The methods include a quantitative analysis of primary data from a survey of 76 pet food decision makers involved in the procurement of raw material, production, and marketing. The findings suggest the need for extensive research in various areas pertaining to the quality and availability of raw materials, processing methods, and forecasting consumer preferences. The findings also emphasize high value research areas such as identifying alternative protein sources, enhancing nutrient retention during the extrusion process, identifying opportunities for product innovation that align with customer preferences, and accurately predicting consumer demand.
The Reduction in the Number of CO2 Defects in the Process of Obtaining Breathing Air for Hyperbaric Oxygen Conditions
Authors: Woźniak Arkadiusz 
Published: October 2024

Abstract
Maintaining a stable carbon dioxide content in the process of obtaining breathing air is essential for safe underwater operations and the reduction of the cost of losses resulting from a poor quality product. The paper addresses the modification of the hyperbaric breathing air production process in terms of eliminating harmful carbon dioxide contaminants. It presents the effects of the modifications made to the process in order to minimise the proportion of defects. A description is given of the status of the process before and after the correction in terms of the identified areas of improvement leading to the achievement of the defined critical requirements of the process. Achievement of the objective to rationalise the breathing air production process was confirmed by results of tests carried out at KTPP AMW1 based on the compressed air supply system of the DGKN - 120 complex2.
FORMULATION OF LIQUID SOAP ETHANOL EXTRACT FROM CITRUS SINENSIS AS ANTIFUNGAL AGAINST CANDIDA ALBICANS
Authors: Yulia Inelvi , Niken Niken 
Published: October 2024

Candidiasis merupakan infeksi yang terjadi pada 20-25% populasi dunia. Diperkirakan prevalensi infeksi oleh Candida albicans mencapai 25.000 kasus setiap tahun. Candida albicans dapat bersifat opurtunistik, menyerang organ dalam tubuh manusia seperti jantung, paru-paru, ginjal dan dibawa melalui aliran darah sehingga menyebabkan gejala yang sangat parah. Terapi yang dilakukan untuk mengobati Candidiasis diantaranya pemberian obat sintetis seperti obat antijamur. Namun beberapa obat memberikan efek samping yang mengganggu seperti mual, muntah sampai rasa terbakar pada kulit. Penelitian ini bertujuan untuk untuk memformulasikan dan meguji efektivitas antifungi sediaan sabun cair dari ekstrak etanol kulit Citrus sinensis terhadap pertumbuhan Candida albicans penyebab Candidiasis secara in vitro. Metode yang digunakan adalah penelitian ekperimental laboratorium dengan menggunakan uji One-Way Analysis of Variance (ANOVA). Analisis akan dilakukan terhadap daya hambat sediaan sabun cair ekstrak etanol kulit Citrus sinensis terhadap pertumbuhan Candida albicans secara in vitro dan karakter organoleptik sabun cair. Hasil penelitian ini menunjukkan bahwa ekstrak etanol kulit Citrus sinensis dapat diformulasikan menjadi sediaan sabun cair dengan beberapa karakter yang sesuai dengan standar nasioan Indonesia sebagai sabun cair. Formulasi I sediaan sabun cair ekstrak kulut Citrus sinensis memiliki daya hambat yang paling besar daripada formulasi yang lain. Semua formulasi dapat menghambat pertumbuhan Candida albicans secara in vitro dengan kategori kuat hingga sangat kuat. Kesimpulan dari penelitian ini yaitu ekstrak kulit Citrus sinensis dapat diformulasikan menjadi sabun cair dan memiliki aktivitas antifungi terhadap Candida albicans yang dikategorika kuat hingga sangat kuat.
Kata kunci : Formulasi sediaan sabun cair., Kulit Citrus sinensis., Candida albicans
Using Scrum in Solving Business Reality Cases
Authors: Gómez Sonia Martín , Lorenzo Cristina Masa , Luna Ángel Bartolomé Muñoz de 
Published: October 2024

Objective: This teaching innovation proposal aims to dynamise and bring the teaching of the subject Business Management and Organisation, taken in the fourth semester of the bachelor’s degree in Business Administration and Management (GAD), closer to the business world.

Theoretical Framework: It is necessary to bring the university closer to business in order to reduce the gap in the skills training demanded by companies and to achieve better employability of graduates.

Method: To do this, we propose the resolution of a production case by workshops, through the formation of agile teams, using Scrum and Kanban, using the Trello application for the latter, the iterative and incremental approach of this methodology will allow the student to learn in a simple and practical way concepts that grow in complexity, as it evolves in the resolution of the same.

Results and Discussion: This teaching methodology allows the student to simultaneously acquire the specific competences of the subject and the so-called soft competences demanded by the working environment.

Research Implications: This type of innovation is necessary in university institutions in order to include in their curricula the competences demanded by recruiters, and can also be used in other disciplines and careers.

Originality/Value: The originality of the research lies in the practice of a learning process that makes it possible to include the training required by companies in curricula.
Preliminary Study on The Characteristics of Effluent From A Cachoeiro de Itapemirim – ES and Analysis of Possible Biotechnological Treatments
Authors: Quinteiro Diogo Silva , Silva Núbia Pereira , Ferreira Hugo Leite , Amaral Bruno de Oliveira , Vitório Camile , Cereza Valquiria Cruz , Babisk Michelle Pereira , Tabelini Diego Borges 
Published: October 2024

Purpose: The objective of this research was to organize and evaluate physical-chemical parameters of the industrial dairy effluent and to propose viable alternative treatments using biotechnological methods, aiming not only to prepare the effluent for disposal but also to generate value-added products

Theoretical framework: With the growth of the population, the food industry sector expands exponentially. Brazil ranks among the top five milk producers globally, with the dairy industry being a significant producer of effluent, generating between 1.1 m³ and 6.8 m³ of effluent per cubic meter of processed milk. Dairy wastewater carries a high pollutant load and requires treatment prior to discharge into water bodies. There is an increasing demand for converting waste into raw materials, prompting research into biotechnological treatments that not only prepare effluent for disposal but also yield products from such waste.

Method/design/approach: The data on wastewater characteristics were provided by the dairy itself, and the physicochemical aspects of the effluents over 19 months were interpreted, establishing relationships among key parameters, as well as the ratios BOD/COD, BOD: N and COD: N. The survey of biotechnological treatments was conducted through bibliographic research on Google Scholar, Scielo, Web of Science, and Scopus databases.

Results and conclusion: Through the analysis and correlations of the physicochemical characteristics of effluents from the Cachoeiro dairy, it is evident that this type of effluent is rich in low biodegradability organic matter, as the BOD5/COD ratio was less than 0.15 in over 79% of the samples, indicating that physical-chemical treatment is the most appropriate approach for this effluent. The linear correlation coefficient between BOD5 and COD was 0.6, suggesting a weak correlation that does not allow one parameter to be accurately predicted from the other. According to the literature, it is possible to derive biofuels, bioplastics, single cell protein, organic acids, polysaccharides, biosurfactants, and other products from dairy effluent, while also meeting environmental requirements

Research implications: Evaluation of optimal treatments based on effluent characteristics and suggestion of alternative treatments aiming to utilize wastewater as a raw material for obtaining secondary products complementary to the industry's focus, in addition to compliance with current disposal regulations.

Originality/value: Development of relationships to assist in evaluating effluent treatments and identification of treatments that can reuse this substantial volume of generated waste.