bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quantum Computing and ZX-Optimization-based Simulation Model for Blockchain-enabled Healthcare System
Authors: Sharma Kriti , Kumar Adarsh , Hedabou Mustapha 
Published: August 2024

Abstract

QC, as compared to traditional computational methods, are efficient in tackling the complexity and large-scale optimisation problems in complex and critical present healthcare systems. This work uses Q-NLP, Bl, ZX-diagrams and QC-optimization for analyzing the healthcare model consisting of interactions among Dr, Pt, Ht and Bl. BN model is constituted for healthcare interactions, followed by ZX-graph optimisation, quantum circuit generation, analysis, validation, and performance analysis. In the analysis of the results, it has been observed that ZX-diagrams are useful for healthcare system modelling, QC integration and optimisation, and implementation. It is observed that strengths of the potential and drive terms largely impact CPU time variations. The optimisation-level experimentation shows a number of circuit operations and non-local gates. Further, the stability of the proposed model is evaluated using system cycle time variations for quantum circuits and qubits analysis. In circuit depth analysis over four circuits with different lengths, it is observed that there is a minimum of 4.1% and a maximum of 17% circuit depth optimisation.
Verifying the feasibility of wastewater-based epidemiological monitoring for the small catchment and sewage networks with significant pretreatment
Authors: Sartirano Daniele , Morecchiato Fabio , Antonelli Alberto , Lotti Tommaso , Morelli Damasco , Ramazzotti Matteo , Rossolini Gian Maria , Lubello Claudio 
Published: August 2024

ABSTRACT

Wastewater-based epidemiology (WBE) has emerged as a valuable tool for COVID-19 monitoring, especially as the frequency of clinical testing diminishes. Beyond COronaVIrus Disease 19 (COVID-19), the tool's versatility extends to addressing various public health concerns, including antibiotic resistance and drug consumption. However, the complexity of sewage systems introduces noise when measuring chemical tracer concentrations, potentially compromising their applicability for modeling. In our study, we detail the approach adopted to determine the concentration of severe acute respiratory syndrome coronavirus 2 (SARS CoV-2) ribonucleiec acid (RNA) in wastewater from the Ponte a Niccheri wastewater treatment plant in Tuscany (Italy), with a sample size of N = 13,935 inhabitants. The unique characteristics of this wastewater system, including mandatory pretreatment in septic tanks with extended retention times, the presence of a hospital for COVID-19 patients, and mixed sewage networks, posed additional challenges. Nevertheless, our results highlight a robust and significant correlation between our measurements and the number of infections within the wastewater treatment plant's catchment area at the time of sampling. A simple linear model also shows promising results in estimating the number of infected people within the area.
How does the citizens' choice of water use actions based on their empirical knowledge affect the water quality in a rural community of the Philippines?
Authors: Yazawa Taishi , Rubite Kenn Joshua Geroy , Macabata-Rubite Princess Eden 
Published: August 2024

ABSTRACT

This research assessed water quality, based on the purpose of water consumption, in households in the municipality of Barbaza, the Province of Antique, Philippines, according to the national water quality guidelines. The effects of the empirical/traditional water use actions taken by local people on the quality of the water they use were investigated through a descriptive study using water quality measurements. Most of the drinking water in the community did not meet the required standards of pH, total dissolved solids (TDS), or coliform. Tap water and well water samples generally met the pH and TDS standards. However, Escherichia coli (E. coli) and coliform were detected, and nitrogen pollution in well water was also confirmed. Local practices, such as using old clothes as filters for well pumps, increased the coliform concentration from 0–10 CFU/mL to too numerous to count (TNTC) levels of more than 100 CFU/mL. Storing well water in a bucket also affected both E. coli and coliform concentrations. Such empirical/traditional water use actions create a high risk of exposing local people to harmful microorganisms. This research integrated citizen science into the methodology for local water management, which could assist governors, practitioners, and citizens, particularly in Southeast Asia, where strong community relationships exist.
A comprehensive analysis of institutional wastewater for irrigating ornamental plants
Authors: Nagial Kulwant Singh , Kumar Navsal , Poddar Arunava 
Published: August 2024

ABSTRACT
Utilizing wastewater for irrigating ornamental plants not only conserves freshwater resources but also enhances sustainability by recycling nutrients and reducing environmental impact. This paper describes the results of experimental activities carried out to verify the possibility of reusing treated institutional wastewater for irrigating three container-grown ornamental plants: Sweet William, Annual Phlox, and Rainbow Pink. The experiment was conducted in a subtropical highland climate by using a randomized complete block design with three replications. The plants were irrigated with borewell water (T1), hybrid sewage (T2), secondary treated wastewater (TW) (T3), tertiary-treated wastewater (T4), and ozone-treated wastewater (T5). Each irrigation treatment was subjected to physical, chemical, and biological analysis to determine water quality parameters. The growth of ornamental plants in each treatment was monitored in terms of height, leaves, and quality of flowers. The data were statistically analysed using analysis of variance (ANOVA). The quality parameters of different irrigation water sources varied significantly (p &lt; 0.05) across the treatments, indicating effective treatment of institutional wastewater. ANOVA analysis revealed significant differences in plant height across irrigation treatments for Sweet William and Annual Phlox, but not for Rainbow Pink. Overall, treatments T4 and T5 resulted in the best growth of the considered ornamental plants.
Advancements in the Transdermal Drug Delivery Systems Utilizing Microemulsion-based Gels
Authors: Song Yongjian , Chen Wei , Yin Yu , Li Jiunian , Wang Meng , Liu Yi , Ren Xiaoliang 
Published: August 2024

:
Microemulsion gel, as a promising transdermal nanoparticle delivery system, addresses the limitations
of microemulsions and enhances their performance in drug delivery and release. This article aims to discuss
the advantages of microemulsion gel, including improved drug bioavailability, reduced drug irritation, enhanced
drug penetration and skin adhesion, and increased antimicrobial properties. It explores the methods for
selecting microemulsion formulations and the general processes of microemulsion preparation, as well as commonly
used oil phases, surfactants, and co-surfactants. Additionally, the biomedical applications of microemulsion
gel in treating conditions, such as acne and psoriasis, are also discussed. Overall, this article elucidates the
significant potential of microemulsion gel in topical drug delivery, providing insights into future development
and clinical applications.
Formulation of Garlic Essential Oil-assisted Silver Nanoparticles and Mechanistic Evaluation of their Antimicrobial Activity against a Spectrum of Pathogenic Microorganisms
Authors: Sarangi Ashirbad , Das Bhabani Shankar , Panigrahi Lipsa Leena , Arakha Manoranjan , Bhattacharya Debapriya 
Published: August 2024

Background:
The synthesis of nanoparticles using the principle of green chemistry has
achieved huge potential in nanomedicine. Here, we report the synthesis of silver nanoparticles (Ag-
NPs) employing garlic essential oil (GEO) due to wide applications of GEO in the biomedical and
pharmaceutical industry.

Objective:
This study aimed to synthesise garlic essential oil-assisted silver nanoparticles and present
their antimicrobial and antibiofilm activities with mechanistic assessment.

Method:
Initially, the formulation of AgNPs was confirmed using different optical techniques,
such as XRD, FT-IR, DLS, zeta potential, SEM, and EDX analysis, which confirmed the formulation
of well-dispersed, stable, and spherical AgNPs. The antimicrobial and antibiofilm activity of
GEO-assisted AgNPs was evaluated against a spectrum of pathogenic microorganisms, such as
Gram-positive (S. aureus and B. subtilis) and Gram-negative (E. coli and P. aeruginosa) bacteria.

Results:
The AgNPs exhibited remarkable antimicrobial and anti-biofilm activity against all tested
strains. The mechanism behind the antimicrobial activity of AgNPs was explored by estimating
the amount of reactive oxygen species (ROS) generated due to the interaction of AgNP with bacterial
cells and observing the morphological changes of bacteria upon AgNP interaction.

Conclusion:
The findings of this study concluded that ROS generation due to the interaction of
AgNPs with bacterial cells put stress on bacterial membranes, altering the morphology of bacteria,
exhibiting remarkable antimicrobial activity, and preventing biofilm formation.
Prediction of miRNA-disease Associations by Deep Matrix Decomposition
Method based on Fused Similarity Information
Authors: Chen Xia , Qu Qiang , Zhang Xiang , Nie Hao , Chao Xiuxiu , Ou Weihao , Chen Haowen , Fu Xiangzheng 
Published: August 2024

Aim:
MicroRNAs (miRNAs), pivotal regulators in various biological processes, are
closely linked to human diseases. This study aims to propose a computational model, SIDMF, for
predicting miRNA-disease associations.

Background:
Computational methods have proven efficient in predicting miRNA-disease associations,
leveraging functional similarity and network-based inference. Machine learning techniques,
including support vector machines, semi-supervised algorithms, and deep learning models, have
gained prominence in this domain.

Objective:
Develop a computational model that integrates disease semantic similarity and miRNA
functional similarity within a deep matrix factorization framework to predict potential associations
between miRNAs and diseases accurately.

Methods:
SIDMF, introduced in this study, integrates disease semantic similarity and miRNA functional
similarity within a deep matrix factorization framework. Through the reconstruction of the
miRNA-disease association matrix, SIDMF predicts potential associations between miRNAs and
diseases.

Results:
The performance of SIDMF was evaluated using global Leave-One-Out Cross-Validation
(LOOCV) and local LOOCV, achieving high Area Under the Curve (AUC) values of 0.9536 and
0.9404, respectively. Comparative analysis against other methods demonstrated the superior performance
of SIDMF. Case studies on breast cancer, esophageal cancer, and prostate cancer further
validated SIDMF's predictive accuracy, with a substantial percentage of the top 50 predicted miRNAs
confirmed in relevant databases.

Conclusion:
SIDMF emerges as a promising computational model for predicting potential associations
between miRNAs and diseases. Its robust performance in global and local evaluations, along
with successful case studies, underscores its potential contributions to disease prevention, diagnosis,
and treatment.
Bibliometric Analysis of Alzheimer's Disease and Depression
Authors: Li Sixin , Zhang Qian , Liu Jian , Zhang Nan , Li Xinyu , Liu Ying , Qiu Huiwen , Li Jing , Cao Hui 
Published: August 2024

Background:
The link between Alzheimer's disease and depression has been confirmed by
clinical and epidemiological research. Therefore, our study examined the literary landscape and prevalent
themes in depression-related research works on Alzheimer's disease through bibliometric analysis.

Methods:
Relevant literature was identified from the Web of Science core collection. Bibliometric parameters
were extracted, and the major contributors were defined in terms of countries, institutions, authors,
and articles using Microsoft Excel 2019 and VOSviewer. VOSviewer and CiteSpace were employed
to visualize the scientific networks and seminal topics.

Results:
The analysis of literature utilised 10,553 articles published from 1991 until 2023. The three
countries or regions with the most publications were spread across the United States, China, and England.
The University of Toronto and the University of Pittsburgh were the major contributors to the institutions.
Lyketsos, Constantine G., Cummings, JL were found to make outstanding contributions.
Journal of Alzheimer's Disease was identified as the most productive journal. Furthermore, “Alzheimer’s”,
“depression”, “dementia”, and “mild cognitive decline” were the main topics of discussion
during this period.

Limitations:
Data were searched from a single database to become compatible with VOSviewer and
CiteSpace, leading to a selection bias. Manuscripts in English were considered, leading to a language bias.

Conclusion:
Articles on “Alzheimer’s” and “depression” displayed an upward trend. The prevalent
themes addressed were the mechanisms of depression-associated Alzheimer's disease, the identification
of depression and cognitive decline in the early stages of Alzheimer's, alleviating depression and improving
life quality in Alzheimer's patients and their caregivers, and diagnosing and treating neuropsychiatric
symptoms in Alzheimer. Future research on these hot topics would promote understanding in
this field.
Electrocoagulation in Wastewater from Spent-Batteries Recycling
Authors: Mufakhir Fika Rofiek , Khotimah Chusnul , Oediyani Soesaptri , Astuti Widi , Sumardi Slamet , Prasetia Hendra , Arham La Ode , Hakim Hafid Zul , Petrus Himawan Tri Bayu Murti , Poernomo Venny 
Published: August 2024

This study uses electrocoagulation to investigate reducing heavy metal content in wastewater from discharging spent batteries. ICP-OES analysis shows that heavy metals exceed the environmental water standard. The electrocoagulation procedure was conducted within a reactor with a 500 mL volume and a rectifier with a 5 A current capacity. Three types of electrode material combinations were used: iron (Fe) and aluminium (Al) as well as Fe-Fe, Al-Al, and Fe-Al pairs with 1 cm in the distance by parallel monopolar cells. Alternating current was used with 30, 40, and 50 A/m2 current density. The best result shown in the Fe-Al electrode pair combination system at 40 A/m2 for 30 min contact time and removal efficiencies for Co, Cd, Ni, Zn, and As is 98.76, 90.73, 99.32, 97.93, and 97.78%, respectively, while for Hg it is 31.84%, even though only Cd is above the standard limit. The heavy metal bearing was confirmed using SEM-EDS in the floc and the precipitate residue. The dissolved electrode materials and electrical energy consumed are 0.32 g and 0.109 kWh/m3, respectively. This method can be a good alternative for treating wastewater compared to direct current electrocoagulation, where the electrode and energy will be less consumed.
Isolation and Evaluation of the Antioxidant Capacity of Compounds from <i>Ehretia asperula</i> Zoll. & Moritzi
Authors: Duc Chong Kim Thien , Linh Tran Chi , Thanh Nguyen Quoc Chau , Nhien Pham Quoc , Trang Dai Thi Xuan , Danh Luu Thai , Tuan Nguyen Trong 
Published: August 2024

Ehretia asperula Zoll. & Moritzi was a common medicinal herb found in several Asian nations. This herb was found in many provinces in northern Vietnam, especially Hoa Binh province. Leaves of E. asperula cultivated in Tay Ninh Province were used to isolate compounds and evaluate their potential as antioxidants by five methods, including TAC, RP, FRAP, DPPH, and ABTS•+. Seven compounds were isolated and elucidated from the ethyl acetate fraction, including kaempferol (1), astragalin (2), nicotiflorin (3), rutin (4), caffeic acid (5), (-)-loliolide (6), and daucosterol (7), where compounds 1, 4, 6, and 7 were found from this species for the first time. All isolated compounds from E. asperula leaves exhibited antioxidant activity, consisting of 5.70 ± 0.01 to 299.13 ± 10.19 μg/mL for EC50 values. Especially compound 5 had a very strong antioxidant effect based on five methods TAC (EC50 = 8.43 ± 0.15 μg/mL), RP (EC50 = 6.79 ± 003 μg/mL), FRAP (EC50 = 12.72 ± 006 μg/mL), DPPH (EC50 = 5.57 ± 0.02 µg/mL), and ABTS•+ (EC50 = 5.70 ± 0.01 μg/mL). From our results, Tay Ninh Province's E. asperula leaves are abundant in naturally occurring antioxidants, indicating their potential use as therapeutic materials.
Memasak Teknik Sous Kualitas Rendang Daging Sapi dengan Metode Vide
Authors: Sirait Anita Priskila , Sudarmawan I Wayan Eka 
Published: August 2024

Rendang adalah salah satu makanan terenak di dunia yang dimasak dengan teknik stewing yaitu, dengan cara slow cooking yang memakan waktu lama serta mempengaruhi kualitas gizi. Oleh karenanya banyak restoran berlomba-lomba menyajikan makanan sehat dan bervariasi. Salah satu metode memasak yang terkenal di Amerika dan Eropa adalah teknik sous vide. Sous vide adalah metode memasak dengan memasukan bahan ke dalam plastic vacuum dan direndam dalam air bersuhu rendah untuk membuat makanan matang secara merata. Tujuan penelitian ini yaitu untuk mengetahui kualitas rendang daging sapi metode memasak sous vide ditinjau dari rasa, tekstur, warna, dan aroma serta membandingkannya dengan teknik stewing yang kemudian diuji daya tahan dari kedua teknik tersebut. Selain itu juga dilakukan analisis biaya pada teknik memasak sous vide. Penelitian ini menggunakan pendekatan eksperimen dengan 20 panelis untuk dilakukan uji organoleptik. Berdasarkan hasil penelitian, suhu yang baik untuk memasak rendang sapi teknik sous vide adalah 165oF dengan waktu 14 jam. Hasil perbandingan antara teknik stewing P1 total skor 338 dengan teknik sous vide P2 total skor 348, artinya metode teknik sous vide dapat diterima dengan baik dari indikator rasa, aroma, tekstur, dan warna. Hasil pengamatan dengan teknik sous vide dapat bertahan 12 hari dalam chiller dengan suhu 3o C. Sementara itu untuk hasil penghitungan biaya produksi per unit didapatkan biaya sebesar Rp.109.000/bungkus dengan berat per bungkus 125 gram.

Rendang is one of the most delicious foods in the world, cooked by stewing technique, namely by slow cooking, which takes a long time and affects the nutritional quality. Therefore, many restaurants are competing to serve healthy and varied food. One of the most popular cooking methods in America and Europe is the sous vide technique. Sous vide is a method of cooking by putting the ingredients into a plastic vacuum and immersed in low temperature water to make the food cook evenly. The purpose of this study was to determine the quality of beef rendang using the sous vide cooking method in terms of taste, texture, color, and aroma and compare it with the stewing technique which was then tested for durability of the two techniques. In addition, a cost analysis was also conducted on the sous vide cooking technique. This research used an experimental approach with 20 panelists for organoleptic testing. Based on the results, the best temperature for cooking beef rendang with sous vide technique is 165oF with 14 hours. The results of the comparison between the stewing technique P1 total score 338 with the sous vide technique P2 total score 348, meaning that the sous vide technique method is well accepted from the indicators of taste, aroma, texture, and color. The observation results with the sous vide technique can last 12 days in a chiller with a temperature of 3oC. Meanwhile, the results of calculating the production cost per unit obtained a cost of Rp.109,000/pack with a weight per pack of 125 grams.
How Does Loan Loss Accounting Influence Bank Lending? Evidence from the Current Expected Credit Loss (CECL) Model
Authors: Yang Hsiang-Chieh 
Published: August 2024

ABSTRACT
I explore the real effects of an update in loan loss accounting, the current expected credit loss (CECL) model. Although CECL’s predecessor only required banks to recognize losses after an event that made a loan uncollectible, CECL requires banks to recognize expected lifetime credit losses when originating loans. CECL’s earlier recognition of loan losses increases the cost of reserving regulatory capital for loans, decreasing banks’ willingness to lend. Empirically, I find that, following CECL’s approval, capital-constrained banks reduce their growth of total loans and residential loans. I also find that, for the residential loans banks continue to make, they choose to sell more shortly after origination, increasing the size of their originate-to-distribute (OTD) business. The increase in OTD mortgages is more pronounced for public banks, implying that their need to adopt CECL earlier than private banks outweighs the fact that they have better access to additional capital.
Data Availability: Data are available from the public sources cited in the text.
JEL Classifications: G21; M40; M41.
Natural Variation in Photosynthetic Traits Measured at Pre and Post Anthesis Stages for 36 Field Grown Wheat Genotypes
Authors: Maity Sourav , Srinivasan Vishnupriya , Dutta Puspendu , Roy Suvedu Kumar , Das Saikat 
Published: August 2024

The experiment was conducted during November–March of 2018–19 and 2019–20 at the University Farm of Uttar Banga Krishi Viswavidyalaya, Pundibari, Cooch Behar, West Bengal, India to assess the variability of 36 selected wheat genotypes for key morpho-phenetic traits as well as photosynthetic parameters and also to study their associations pattern at various growth stages. Photosynthetic parameters were recorded by Gas exchange (GE) measurement under open field condition at both pre- and post-anthesis stages The genotypes showed significant variation for photosynthetic parameters such as Pn, E, Ci, and gs, for pre-anthesis measurements while in post-anthesis measurements, all the parameters found to be non-significant except Pn. All these traits showed higher value in pre-anthesis stage indicating higher physiological efficiency at this stage. Most of the traits showed high heritability coupled with higher genetic advance except gs in both pre and post anthesis stages indicating higher role of additive gene action. This study found no significant correlation between pre and post-anthesis photosynthetic traits and grain yield or biomass when all cultivars were compared. Cultivars with the highest photosynthetic performance did not equate with the highest yields. However, path analysis revealed a positive and high direct effect of E, WUE (both pre and post anthesis stage); gs, (Pre-anthesis stage only) on grain yield while a negative direct impact of BY and Pn (pre-anthesis stage). PCA analysis also confirmed the importance of photosynthetic parameters such as Pn, E, gs, Ci, LUE, and WUE measured at both pre and post-anthesis stages towards the divergence of wheat genotypes.