bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gonorrhea treatment guideline compliance and influence factors in Guangdong province, China: A cross-sectional survey
Authors: Xiong Mingzhou , Zhao Peizhen , Wu Xingzhong , Huang Shujie , Yang Menglan , Wang Cheng , Zheng Heping 
Published: December 2023

Abstract
Background
The indiscriminate use of antibiotics has accelerated the development of antimicrobial resistance (AMR) in Neisseria gonorrhoeae (NG), emphasizing the importance of adhering to treatment guidelines for gonorrhea. This study aimed to investigate the rate of standard treatment among gonorrhea patients and explore the corresponding influencing factors.
Methods
The survey was conducted in Guangdong province, China. Eligible participants were uncomplicated gonorrhea cases registered and reported in the Chinese Information System for Disease Control and Prevention (CISDCP). Demographic characteristics and medical information of gonorrhea patients were collected to calculate the standard treatment rate, which served as the primary outcome variable. The medication choices were also documented. Chi-square (χ2) test and multilevel logistic regression modeling were used to examine the factors associated with standard treatment.
Results
The survey included a total of 2,424 gonorrhea patients from 59 hospitals. The standard treatment rate was found to be 30.7% (743/2424), with rates of 36.2% for females and 29.6% for males, respectively. The most common reasons for substandard treatment were the use of medication beyond the guideline (42.3%, 710/1681) and inappropriate dosing (36.2%, 605/1681). Factors such as gender, address, educational level of patients, department, received training and diagnosed gonorrhea case number of physicians in charge, as well as hospital level, were associated with the standard treatment rate among gonorrhea patients.
Conclusion
The standard treatment rate for gonorrhea in Guangdong province, China, is below expectations. Therefore, it is necessary to implement comprehensive measures, including the establishment of a goal-directed monitoring system and the implementation of promotional activities, to improve compliance with gonorrhea treatment guidelines.
Genetic identification of potential nodulating bacteria and nodule-associated bacteria (NAB) within root nodules of Inga punctata trees in a Costa Rican Cloud Forest
Authors: Eaton William , Hamilton Debra , Chen Wen , Lemenze Alexander , Soteropoulos Patricia Patricia 
Published: December 2023

Abstract
Background and Aims
Leguminous tree root nodules have N-fixing, nodulating bacteria important for soil C and N cycle recovery following forest disturbance, and nodule-associated bacteria (NAB), which often provide plant growth promoting (PGP) activities. However, composition and function of these microbiomes within tropical leguminous forest trees is understudied.
Methods
Root nodules were collected from 1, 2, 13-year-old and old growth Inga punctata trees within a tropical cloud forest. Nodule DNA was extracted, from which bacterial taxa were identified through Illumina DNA sequencing methods.
Results
Bradyrhizobium diazoefficiensDNA sequences represented 63% to 86% and NAB sequences represented 7% to 12% of the total bacterial taxa in the nodules. Collectively, 26 of the NAB taxa were identified with 9 PGP activities. The 1 year-old nodules had the greatest percentages of PGP NAB taxa, which decreased with tree age, though the percentage of total NAB DNA increased with tree age, as did the NAB community complexity.
Conclusions
Bradyrhizobium diazoefficiensappears to be the root nodule-forming bacteria, while the NAB genera with known PGP activities appear to provide important functions that benefit both the nodule microbiome and I. punctata. The greater percentage of PGP NAB in the youngest nodules suggests their importance in early growth and development of I. punctata and its root nodules, the great presence of NAB DNA in all nodules suggests the importance of NAB throughout the lifespan of I. punctata, and the increasing NAB community complexity with tree age suggests the microbiome undergoes parallel succession with the tree.
Tuning Multi-wavelength Lasing in Rhodamine 640/Methylene Blue/Ag NWs Random Lasers
Authors: Jassim J. M. , al-samak M. S. , Ejbarah R. A . , Kisov Hristo 
Published: December 2023

Abstract
This research investigates a type of random laser with coherent properties, designed and studied to understand how fluorescence resonance energy transfer affects the emission spectra and threshold of Rhodamine 640/methylene blue/Ag NWs lasers. We demonstrate that Rhodamine 640 enhances the laser output of methylene blue beyond 700 nm. Additionally, by adjusting the mixing ratio of the two dyes, we achieved multi-wavelength lasing with linewidths as narrow as 1 nm. Ag NWs serve as scatterers in this system, both enhancing light extraction efficiency in the visible range and lowering the operating threshold for multi-wavelength lasing.
Electro Generating Cu+2 Ions Based on Electrochemically Modified CPE for The Determination of Malathion Pesticide using Valid SW-ASV Method
Authors: Moharram Youssef Ibrahim , El-Hallag Ibrahim Shibl , Selim Sameh Mahmoud 
Published: December 2023

Abstract
This work investigates the validation of SW-ASV method for the determination of malathion organophosphorus pesticide based on electrochemically modified CPE with copper metal. The surface of the modified CPE was constructed by electrodepositing copper layer at the accumulation step in 1mM CuSO4.5H2O, PBS at pH 6.6, E accumulation: -0.8 V, and T accumulation 240 s. The determining step was performed by adding different concentrations of malathion pesticide and applied the potential towards more positive potential at (-0.8 - +1.4 V) to enhance the oxidation of Cu0 metal. It was noticed that the malathion concentrations gradient enhances the oxidation peak current of copper at + 0.03V gradually. This was the paradigm for developing SW-ASV method and investigation of the method validation. SW-ASV method validation was performed in PBS at pH 6.6, potential window (-0.8 - +1.4 V), E accumulation: -0.8 V, T accumulation 240 s, and linearity range of malathion concentrations confined in (0–10µM). The calibration curve was constructed and R2 was equal to 0.99995 with good fitted linear relationship. LOD and LOQ were calculated to be 0.0247, and 0.08236 µM respectively. the raggedness of the test method was verified towards the deliberate variations for the CuSO4.5H2O concentration which closely varied to be (0.9, 1, and 1.1 mM) in accumulation step. Insignificant differences were observed between taken and measured concentration values of malathion. ANOVA for two sets of measurements using the standard GLC method and the suggested SW-ASV electroanalytical method was demonstrated via the calculations of F-value and t-value. F and t- values were calculated to be 1.698 and 0.289 respectively which not exceeded the tabulated F and t- values at degree of freedom equal to 4, resulting in the great similarity of results and ensuring the reliability of the suggested test method. The suggested SW-ASV method was used to perform the quality control routine analysis of the technical grade (95% - TC) and the pesticide formulation (57% - EC) of the malathion. Valid results were achieved with satisfactory limits of accuracy and precision.
IF steel: grain boundary nature and its aqueous corrosion behavior
Authors: Khan M. I. , Jaidka S. , Mehtani H. K. 
Published: December 2023

Abstract
Interstitial-free (IF) steel is the purest form of steel and has tremendous scope for a basic understanding of the corrosion behavior of steel. A total of five steel samples were subjected to progressive cold deformation at varying levels (35%, 50%, 65%, 80%, and 95%) and subsequently subjected to uniform heat treatment. After heat treatment, the samples were characterized, revealing an increased volume fraction of gamma fiber texture with higher levels of cold reduction. Polarization tests were performed in acidic (0.5M HCl) and neutral (0.6M NaCl) solutions. The results demonstrated that samples with a higher volume fraction of texture ND//<111 > displayed elevated corrosion current and corrosion rate, suggesting a potential influence of grain boundary characteristics on corrosion behavior. Additional measurements on the depth of attack within the grains and at the grain boundaries further supported the notion that the corrosion behavior of the material is affected by grain boundary properties. These findings contribute to a better understanding of the corrosion mechanisms in IF steel and highlight the significance of grain boundary nature in the context of corrosion behavior.
Telomere length in women with Polycystic Ovary Syndrome in the perimenopausal
Authors: Gomes Demetrio Antonio Gonçalves Gonçalves Silva , Grespan João Pedro Borges Andrade , Lopes Carolina Figueiredo 
Published: December 2023

Abstract
Introduction: Interest in polycystic ovary syndrome (PCOS) has been increasing, especially after discovering that it involves much more than the reproductive system.
Objective:Analyze telomere length in perimenopausal women with PCOS.
Study design: case-control.
Methods:The volunteers were divided into PCOS and control groups comprising 200 women in each group. All women were evaluated, including a blood measurement and analysis of leukocyte telomere length. Results:When comparing the PCOS and control groups regarding age, body mass index, waist, hip, waist-to-hip ratio, pregnancy, birth, abortion, 17-OHP, testosterone, TSH, and insulin, no differences were found. Women in the PCOS group had higher Ferriman scores than the control group (p < 0.01). The mean telomere length in both groups was 0.7 (± 0.23), with no statistically significant difference between the two groups (p = 0.62). Body mass index was the only characteristic negatively correlated with telomere length (p = 0.0051).
Conclusions: A future analysis of telomere length in women of different ages after exposure to the long-term metabolic consequences of PCOS is suggested.
The Effects of Management Practices on Effective Tax Rates: Evidence from Ecuador
Authors: de Ervin Lyliana Gayoso , Beverinotti Javier , Canavire Gustavo , Deza Maria Cecilia 
Published: December 2023

Abstract

This paper examines the effects of management practices on effective tax rates (ETR) in a sample of medium- and large-size manufacturing firms in Ecuador. We use a novel data set on management practice scores matched with administrative tax data from the Superintendence of Companies and the Internal Revenue Service of Ecuador based on firms' tax filings. We find that better management practices are positively associated with effective tax rates, defined as the share of tax obligations to profits. This result is robust under various specifications controlling for different covariates and to different measures of effective tax rates. Furthermore, our findings indicate that the use of fiscal incentives is positively associated with higher effective tax rates. However, firms that use fiscal incentives are able to flatten or reduce their effective tax rates as management practices improve. Overall, our findings suggest that government-sponsored policies that seek to promote better management practices may be self-sustaining if the expected additional tax revenue as a result of firms' realizing higher profits is able to cover the cost of the programs.
JEL Classification: D22 , H2 , L2 , M2
A Self-Representation Weighted based Density Peaks Clustering Method
Authors: YU Qiangguo , Zhang Zhikun , WANG Peiliang , SHEN Qing , Jia Liangquan 
Published: December 2023

Abstract

The calculation method of density has an important influence on the clustering performance of density peak clustering method (DPC), the different density calculation methods are applied for the different datasets. To solve this problem, a self-representation weighted density peak clustering method (SR-DPC) is proposed in this study. Different from DPC, SR-DPC not only considers the local information of data points, but also enhances the influence of different data points on the data center by introducing the idea of weighting, so as to improve the accuracy of finding the data center.Furthermore, SR-DPC can adaptively reflect the influence of different data points on the data center points through the feature representation among data points, and the weighted Gaussian kernel distance is adopted to replace the Euclidean distance, so as to improve its clustering performance. Experimental results based on synthetic datasets and real datasets show that SR-DPC method is effective and practical.
Propeller Induced Complete Transformation of the Secondary Structure of a Dipeptide on Water Surface Controlled by Chiral Supramolecular Assembly
Authors: Acharya Somobrata , BISWAS Sandip , . Umesh , Das Bidisa , Koley Pradyot , Bhattacharya Santanu 
Published: December 2023

Abstract
Water surface provides a unique platform for the directed formation of self-assembly and transformation of secondary structures of peptides and proteins. Here we report a well-defined supramolecular assembly controlled complete one-step transformation of the secondary structure from β-sheet to α-helix of an amyloid-derived dipeptide system on the water surface. Spherical aggregates and molecular wires containing β-sheet structure are converted into two-dimensional (2D) molecular sheets comprising large planar area yet with a molecular level thickness with α-helix structure. The conformational features of the β-sheet to α-helix structure transformation are dominated by the abundant intermolecular hydrogen bonding, π–π stacking and C–H···π interactions. Strikingly, the dynamic change in the dihedral angle between the aromatic rings of dipeptide at the water surface alters the molecular packing and shortens intermolecular hydrogen bonds with larger binding energies required for the secondary structure transformation. The novel one-step strategy reported herein offers an exciting example of the supramolecular assembly controlled secondary structural transformation of the dipeptide on water surface.
Experiences of people referring to a rural school-based mental health support service for young people: A qualitative study
Authors: Allan Julaine , Thompson Anna 
Published: December 2023

Abstract

Background: Healthcare provision across rural and remote areas is challenging, requiring adaptability and careful management of scarce resources. In Western New South Wales (NSW), Australia, youth mental health services have been identified as a priority. Schools are well-placed to address some of these barriers and facilitate access to mental health services. This study explores the experiences of people referring to an innovative rural school-based mental health support service in western NSW for young people aged 12-25 (‘The Service'), and their perceptions of the benefits and challenges of The Service.
Methods: A qualitative descriptive approach was used to explore the experiences of people who had made referrals to The Service. Eight semi-structured interviews were conducted, with data analysed deductively.
Results: The participants described The Service’s model of care as the overarching feature which facilitated access to mental health care for young people. The model of care was described as easy to access, flexible, and offering quality service delivery. Suggestions for improvement included making The Service more inclusive for young people after they leave school and finding ways to address staffing challenges to ensure consistency of service delivery.
Conclusions: Locating services in schools makes mental health support accessible and convenient for users. Participants reported high satisfaction with referring to The Service, and positive school-related outcomes for young people. This small study supports the expansion of school-based mental health services which could be rigorously evaluated.
Study on the composite structure of cobalt-free oxides as cathodes for intermediate temperature solid oxide fuel cells (IT-SOFCs)
Authors: Susanto Iwan , Jamhary Adil Juira , Permana Sulaksana 
Published: December 2023

Summary: Solid Oxide Fuel Cells (SOFCs) represent a promising technology for efficient and clean energy conversion. This study focuses on the design and development of a novel cathode material for SOFCs, specifically exploring the use of a free-cobalt cathode within a composite structure. Investigating the structure of cobalt-free composites of Ba0.5Sr0.5FeO3-δ (BSF) and Ba0.5Sr0.5Fe0.8B0.2O3-δ (B=Cu, Zn) (BSFB) have been prepared and evaluated as cathodes for IT-SOFCs. The solid-state reaction was employed for generating and modifying the composite structure of the model system. The decomposition reaction and the formation of perovskite structure have been observed using thermal gravimetric analysis and X-ray diffraction. The study encompasses experimental procedures, data processing using GSAS software, and the application of the Rietveld method to achieve precise analysis results. Rietveld analysis outcomes offer intricate details about the crystal structure, encompassing crystal unit parameters, and scale factors. The solid-state reaction led to the reduction in the weight of the composite during the heating process. The decomposition reaction of oxides was generated between 650 to 950 oC. The average of total weight loss during the period treatment was achieved up to 18 % and the perovskite phase formed in the composite structure. A single-phase perovskite from a cubic structure with space group Pm-3m was demonstrated by all composite’s models. The lattice parameter and a unit cell volume were obtained from the model system of BSF, BSFC and BSFZ, respectively. This study explores the potential development of SOFCs technology with the hope of making a positive contribution to advancing clean and sustainable energy solutions in the future
How can machine learning predict cholera: insights from experiments and design science for action research
Authors: Ahmad Amshi Hauwa , Prasad Rajesh , Sharma Birendra Kumar , Yusuf Saratu Ilu , Sani Zaharaddeen 
Published: December 2023

Abstract

Cholera is a leading cause of mortality in Nigeria. The two most significant predictors of cholera are a lack of access to clean water and poor sanitary conditions. Other factors such as natural disasters, illiteracy, and internal conflicts that drive people to seek sanctuary in refugee camps may contribute to the spread of cholera in Nigeria. The aim of this research is to develop a cholera outbreak risk prediction (CORP) model using machine learning tools and data science. In this study, we developed a CORP model using design science perspectives and machine learning to detect cholera outbreaks in Nigeria. Nonnegative matrix factorization (NMF) was used for dimensionality reduction, and synthetic minority oversampling technique (SMOTE) was used for data balancing. Outliers were detected using density-based spatial clustering of applications with noise (DBSCAN) were removed improving the overall performance of the model, and the extreme-gradient boost algorithm was used for prediction. The findings revealed that the CORP model outcomes resulted in the best accuracy of 99.62%, Matthews's correlation coefficient of 0.976, and area under the curve of 99.2%, which were improved compared with the previous findings. The developed model can be helpful to healthcare providers in predicting possible cholera outbreaks.
Ground water availability assessment for a data-scarce river basin in Nepal using SWAT hydrological model
Authors: Prajapati Raghu Nath , Ibrahim Nurazim , Goyal Manish Kumar , Thapa Bhesh Raj , Maharjan Koshish Raj 
Published: December 2023

Abstract

Mountainous river basins are expected to experience significant seasonal fluctuations in water supply due to climate change. Thus, hydrological modeling becomes further challenging while accounting for data-scarce mountainous basins observing climate change impacts. In this study, Soil and Water Assessment Tool (SWAT) was used to predict hydrological flow in the Sunkoshi River Basin (SRB) based on daily rainfall and temperature data spanning 36 years. The specific objectives of this study were: (i) to use the SWAT model to simulate the long-term hydrological response, (ii) to generate spatially distributed rainfall–runoff and subbasin-wise water balance components using well-established performance indicators. Calibration and validation at the outlet of the study area were successful, with the values of R2/Nash–Sutcliffe efficiency (NSE) calculated as 0.91/0.82 for monthly data and 0.79/0.73 for daily data. In the validation phase, the values of R2/NSE were 0.91/0.84 for monthly data and 0.82/0.75 for daily data, respectively. This study predicted the average yearly flow and precipitation at the SRB outlet to be 279 m3/s and 368.25 mm, respectively. Approximately, 30% of water loss was attributed to evapotranspiration, 18% to runoff, and 30% to lateral flow. The findings of this study will contribute to water resource management.
Smart Stimuli-responsive Alginate Nanogels for Drug Delivery Systems and
Cancer Therapy: A Review
Authors: Garshasbi Hamid Reza , Naghib Seyed Morteza 
Published: December 2023

Abstract:
Nanogels are three-dimensional networks at the nanoscale level that can be fabricated through physical
or chemical processes using polymers. These nanoparticles’ biocompatibility, notable stability, efficacious
drug-loading capacity, and ligand-binding proficiency make them highly suitable for employment as drug-delivery
vehicles. In addition, they exhibit the ability to react to both endogenous and exogenous stimuli, which
may include factors such as temperature, illumination, pH levels, and a diverse range of other factors. This facilitates
the consistent administration of the drug to the intended site. Alginate biopolymers have been utilized
to encapsulate anticancer drugs due to their biocompatible nature, hydrophilic properties, and cost-effectiveness.
The efficacy of alginate nano gel-based systems in cancer treatment has been demonstrated through multiple
studies that endorse their progress toward clinical implementation. This paper comprehensively reviews
alginate and its associated systems in drug delivery systems.