bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi-level Analysis of HbA1c in Diagnosis and Prognosis of Diabetic
Patients
Authors: Mukherjee Sukhes , Ray Suman  Kumar , Jadhav Ashish A. , Wakode Santosh L. 
Published: November 2023

Background::
Type 2 diabetes (T2D), a multifaceted metabolic disorder, may cause
health tribulations and changes in biochemical blood markers. Other research has examined the
relationships between several biomarkers and the risk of T2D. Few studies have examined the
relationships between these biomarkers and potential changes to the network of biomarkers associated
with diabetes.

Method::
Glycated hemoglobin, or HbA1C, is used to evaluate and track the blood glucose history
throughout the previous two to three months of testing. The ability to reflect the cumulative
glycemic history of the previous two to three months makes HbA1c an essential biomarker of
long-term glycemic control. HbA1c offers a trustworthy indicator of chronic hyperglycemia and
strongly correlates with the likelihood of long-term consequences from diabetes.

Result::
Additionally, elevated HbA1c has been recognized as a stand-alone risk factor for patients
with and without diabetes developing coronary heart disease and stroke. One HbA1c test
offers a wealth of information that makes it a reliable biomarker for the diagnosis and prognosis
of diabetes. A clinical examination may be required to establish the connection between diabetes,
prediabetes, biochemical blood indicators, age, and body mass index (BMI).

Conclusion::
We observed that diabetes, BMI, age, HbA1c, cholesterol, triglycerides, LDL,
VLDL, and HDL were all linked using multivariate analysis.

other:
Multi-level analysis of hba1c in diagnosis and prognosis of diabetic patients
Rational Design of Dual Inhibitors for Alzheimer's Disease: Insights from
Computational Screening of BACE1 and GSK-3β
Authors: Sai Varshini Magham , Aishwarya Reddy Ramakkamma , Thaggikuppe Krishnamurthy Praveen , Selvaraj Divakar 
Published: November 2023

Background:
Alzheimer's disease (AD) is one of the most concerned neurodegenerative
disorders across the world characterized by amyloid-beta (Aβ) plaques and neurofibrillary
tangles (NFTs), leading to cognitive decline and memory loss. Targeting key pathways involved
in AD like Aβ and NFT pathways, are crucial for the development of effective therapeutic strategies.
In this study, we aimed to identify and establish promising dual inhibitors targeting
BACE1 and GSK-3β, two proteins implicated in Aβ and NFT formation respectively.

Methods:
We have used molecular docking, ADME property analysis, and MMGBSA calculations
for the identification of hit molecules and further evaluation of binding affinity, drug-like
properties, and stability against BACE1 and GSK-3β.

Results:
Our results demonstrated strong binding affinities of ZINC000034853956 towards the
active sites of both proteins, with favorable interactions involving key residues crucial for inhibitory
activity. Additionally, ZINC000034853956 exhibited favorable drug-like properties. MD
simulations revealed the stable binding of ZINC000034853956 to both BACE1 and GSK-3β
over a 50 ns period, with consistent ligand-protein interactions, such as hydrogen bonding and
hydrophobic contacts. These findings highlight the potential of ZINC000034853956 as a promising
candidate for AD treatment, acting as a dual inhibitor targeting both BACE1 and GSK-3β.
Overall, our study provides valuable insights into the potential of ZINC000034853956 as a dual
inhibitor for AD. The strong binding affinity, favorable drug-like properties, and stability observed
in MD simulations support its suitability for further optimization and preclinical studies.

Conclusion:
Further investigations are warranted to elucidate the precise molecular mechanisms
and therapeutic benefits of ZINC000034853956. Our findings offer hope for the development of
novel therapeutic interventions targeting crucial pathways involved in AD neurodegeneration.
Innovative Video Classification Method based on Deep Learning Approach
Authors: Hemamalini V. , Jayasutha D. , Vinothini V. R. , Devi R. Manjula , Kumar A. , Anitha E. 
Published: November 2023

Background:
The method includes: receiving a set of video data and labeling it into categories, segmenting the received videos into N segments, randomly selecting M frames for each video segment in the training phase, concatenating the video images into multi-channel images, and rolling.

Methods:
This work was developed in the Python programming language using the Keras library
with Tensorflow as the back-end. The objective is to develop a network that presents performance
compatible with the state of the art in terms of classifying videos according to the actions taken.

Results:
Given the hardware limitations, there is considerable distance between the implementation
possibilities in this work and what is known as the state-of-the-art.

Conclusion:
Throughout the work, some aspects in which this limitation influenced the development
are presented, but it is shown that this realization is feasible and that obtaining expressive
results is possible. 98.6% accuracy is obtained in the UCF101 data set, compared to the 98 percentage
points of the best result ever reported, using, however, considerably fewer resources. In
addition, the importance of transfer learning in achieving expressive results as well as the different
performances of each architecture are reviewed. Thus, this work may open doors to carry patent-
based outcomes.
Bi-directional Projection Framework for Fast Single Image Super
Resolution
Authors: Zhou Ying , Zheng Zhichao , Sun Quansen 
Published: November 2023

Background::
Collaborative Representation (CR) has been widely used in Single Image
Super Resolution (SISR) with the assumption that Low-resolution (LR) and high-resolution (HR)
features can be linearly represented by neighborhoods and share consistent CR coefficients. Numerous
patents and journal papers have been published. However, this CR consistency does not
hold in the reconstruction phase, which leads to degraded performance.

Methods::
To fulfill this gap, we propose a novel bi-directional projection model (BDPM) to establish
a bi-directional mapping between LR and HR features without any consistency constraint.
The multiple projection matrices are offline computed to reduce reconstruction time greatly. We
further develop several strategies to extract features and group neighborhoods such that local
structures can be preserved better.

Results::
Compared to the learning-based methods, BDPM is about 2 to 10 times faster and compared
to the reconstruction-based methods, it is about 500 to 2,000 times faster.

Conclusion::
The empirical studies verify the effectiveness of BDPM and extensive experimental results
demonstrate that BDPM achieves better SISR performance than many state-of-the-arts.
Development and Perspectives of Bearing Life Testers
Authors: Zhang Yuan , Wang Xiao-Long , Qu Yuan-Xin 
Published: November 2023

Background:
Bearings are a kind of precision mechanical basic parts that are widely used
in aerospace, automobile, home appliances and industrial fields. At the same time, bearings are also
one of the most important wear parts in mechanical equipment. The research and analysis of bearing
life are of great significance as they directly affect the efficiency and safety of the equipment.

Objective:
By analyzing and discussing the patents on bearing life testing devices, some valuable
conclusions have been drawn, and the development direction of bearing life research and bearing
testing devices is speculated.

Methods:
Various bearing life testing devices, such as life testing machines, performance testing
machines and simulation testing machines, are observed, and the influence of bearing life testing
devices on bearing quality assessment and product development is analyzed. The patents about the
bearing life testing device are investigated in conjunction with the bearing life data signal acquisition
method.

Results:
The analysis of bearing life detection devices in bearing fatigue life and performance
failure in the bearing failure detection collection method primarily uses vibration detection method,
while bearing life detection devices primarily focus on structural innovation and detection
method innovation to improve the accuracy of bearing detection.

Conclusion:
The development of the bearing detection device and the advancement of test software,
multi-species, small batch, high precision, multiple control, group control, simulation of
working conditions, and special development work in tandem to address technical issues and improve
bearing detection device functionality.
Tyrosol-loaded Nano-niosomes Attenuate Diabetic Injury by Targeting
Glucose Metabolism, Inflammation, and Glucose Transfer
Authors: Jafari-Rastegar Nima , Hosseininia Haniyeh Sadat , Mousavi-Niri Neda , Khakpai Fatemeh , Naseroleslami Maryam 
Published: November 2023

Introduction:
The increasing prevalence of type 2 diabetes, has become a global concern,
making it imperative to control. Chemical drugs commonly recommended for diabetes treatment
cause many complications and drug resistance over time.

Methods:
The polyphenol tyrosol has many health benefits, including anti-diabetes properties. Tyrosol's
efficacy can be significantly increased when it is used as a niosome in the treatment of diabetes. In this
study, Tyrosol and nano-Tyrosol are examined for their effects on genes implicated in type 2 diabetes in
streptozotocin-treated rats. Niosome nanoparticles containing 300 mg surfactant (span60: tween60) and
10 mg cholesterol were hydrated in thin films with equal molar ratios. After 72 hours, nano-niosomal
formulas were assessed for their physicochemical properties. MTT assays were conducted on HFF
cells to assess the cellular toxicity of the nano niosome contacting optimal Tyrosol. Finally, the expression
of PEPCK, GCK, TNF-ɑ, IL6, GLUT2 and GLUT9 was measured by real-time PCR. Physiochemical
properties of the SEM images of niosomes loaded with Tyrosol revealed the nanoparticles
had a vehicular structure.

Results:
In this study, there were two stages of release: initial release (8 hours) and sustainable release
(72 hours). Meanwhile, free-form drugs were considerably more toxic than niosomal drugs in terms of
their cellular toxicity. An in vivo comparison of oral Tyrosol gavage with nano-Tyrosol showed a significant
increase in GCK (P < 0.001), GLUT2 (P < 0.001), and GLUT9 (P < 0.001). Furthermore,
nano-Tyrosol decreased the expression of TNF-ɑ (P < 0.05), PEPCK (P < 0.001), and IL-6 (P < 0.05)
which had been increased by diabetes mellitus. The results confirmed nano-Tyrosol's anti-diabetes and
anti-inflammatory effects.

Conclusion:
These findings suggest that nano-Tyrosol has potential applications in diabetes treatment
and associated inflammation. Further research is needed to better understand the mechanism of action.
An Assessment of the Impact of Latvian New Common Agriculture Policy: Transition to Climate Neutrality
Authors: Vistarte Lelde , Pubule Jelena , Balode Lauma , Kaleja Daina , Bumbiere Ketija 
Published: November 2023

Abstract
Agriculture ranks among the key sectors responsible for substantially rising greenhouse gas (GHG) emissions. The increase in emissions contributes to the adverse effects of climate change, including threats to biodiversity, the potential for extreme weather events, elevated sea levels, and alterations to ocean currents. The European Union’s Common Agricultural Policy (CAP) is a comprehensive framework that aims to achieve sustainability and advance the agricultural sector’s journey towards climate neutrality by addressing social, economic, and environmental goals. The study aims to evaluate Latvia’s Common Agricultural Policy Strategic Plan (CAP SP) and to evaluate the impact of the policy. The goal of the study is to determine which objectives are more likely to succeed based on the overall state of Latvia’s agricultural sector and by evaluating the provided information in Latvia’s CAP. The assessment of the CAP SP reveals that there are clear and specific metrics in place for the high-impact goals, particularly those related to addressing climate change and managing resources. According to the TOPSIS analysis, the climate change (SO4) and environmental care (SO5) objectives demonstrate the most significant impact. Objectives associated with European Union policies, such as the National Energy and Climate Plan, European Green Deal, and Farm to Fork strategy, are more likely to succeed than objectives not connected to these or similar policies.
INVESTIGATING DRIVERS OF DIGITAL BANKING ADOPTION OF GEN Z IN INDONESIA
Authors: Supriyadi Fortuna Tunggadewi , Darwanto Darwanto 
Published: November 2023

Despite the fact that digital banks are the most recent financial service that provides online banking services without direct contact with customers, they have yet to transform the whole financial sector. This study was done in a quantitative manner utilizing primary data to investigate drivers of digital banking adoption by Gen Z using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) approach. There was a total of 232 respondents participating in this study. The data was analyzed using Structural Equation Modeling - Partial Least Square (SEM-PLS). The results show that social influence, facilitating conditions, hedonic motivations, perceived value, and habit positively influence the Gen Z’s behavioral intention to use the digital banks; while performance expectancy and effort expectancy show the opposite influence. Further, the behavioral intention also positively influences the Gen Z’s use behavior of digital banks. To promote digital bank customer commitment and satisfaction, digital banking service providers are suggested to increase the value of benefits outweighing the costs borne by users, as well as to improve service quality in terms of user friendliness.JEL: G40, O33.
Concentration Measuring Techniques in Banking Sector-Lorenz Curve and Gini Coefficient
Authors: Dimić Maja , Paunović Svetislav 
Published: November 2023

The paper presents the indicators of market concentration in the banking sector with a focus on the Lorenz curve the Gini coefficient. The authors present the results of the empirical research of concentration levels in the banking sector in selected countries in the CEE region (Serbia, Croatia, Montenegro, Bosnia and Herzegovina, Macedonia, Bulgaria, Romania and Albania) in the period 2007-2012. The level of market concentration can be exploited and operationalized by using different concentration indicators. The contribution of this research is reflected in the comparative empirical analysis of the results of our previous research that was focused on quantification of the most frequently used indicators of concentration (Concentration ratio 4 and Herfindal-Hirshman index), and the results obtained using the Lorenz curve and the Gini coefficient.
The paper analyzes the level as well as variability of these indicators and tests the degree of their correlation. Individually observed, concentration indicators have relatively low capacity to present the real nature of competition in the banking sector in the analyzed countries as well as to provide a good estimate of possible future trends. The results of our analysis indicate that, for the purpose of a more precise and better understanding of the relevant issues of market concentration in the financial sector, several indicators of concentration need to be analyzed simultaneously. Additionally, improvement of methodology should provide a more reliable basis for a precise definition of adequate policies and legislation in this area.
The Effects of Digitalization and Skills on Women’s Labor Market Inclusion- Serbian Gap Study
Authors: Jevtić Boris , Vucekovic Milos , Tasić Svetlana 
Published: November 2023

This study aims to indicate the importance of the factors connected to the digital knowledge and skills of women (WDKS) and the institutional support of digitalization (DIS), for women's inclusion in the labor market (WLMI) and employment in a digital age. The impact was valorized by 224 women, as participants in the research provided in 2022 in Serbia, through the Likert scale instrument for 15 claims within the defined research variables, and regression analyses. Findings showed that knowledge and digital skills, and competencies of girls and women (WDKS) are strongly correlated with their social inclusion in the labor market (WLMI). The impact of the DISF, institutional measures, and policies as a set for digital infrastructure, networks, and lows adjustments for the digitization process development is important too as a national framework for the digital economy. These findings of the research contribute to the literature on digitization and new technologies knowledge development, the SDGs goals on gender divide and equality, as to further feminist economics scientific works.
English Need Analysis for Mataram Children Forum in Mataram City
Authors: Haliza Alda Nurul , Wilian Sudirman , Farmasari Santi , Sujana I Made 
Published: November 2023

As an international language, English has become highly important in supporting Mataram Children Forum (MCF) members' participation in raising children's voices at the national and international levels. However, there is no program that can help to develop their understanding of English skills. This research aims to find out the English levels and English needs of MCF members, the population of which were all members of the MCF while the samples are all the 15 active members with 3 additional samples from facilitators selected through a purposive sampling technique. All data were collected using triangulation techniques, including tests with the CEFR guideline, interviews, and questionnaires. They are then analyzed qualitatively and quantitatively based on the data specifications. The research reveals that (i) the members’ level of English was still low (7% at the pre-beginner level, 47% at the beginner level, 33% at the elementary level, and 13% at the intermediate level); (ii) their basic need is to be able to communicate orally in order to participate in the fulfillment of children's rights; (iii) their desire is to be able to communicate and understand English not just for organizational purposes, but also to help them in achieving their future goals; (iv) they tend to have issues in English comprehension, particularly at speaking and listening skills, which limits their level of participation. Therefore, it is recommended that the MCF members make an English learning program that could help meets their needs and function in raising children voice.
Entrepreneurial Behavioral of Garlic Farmers in the Garlic Production Center Area, Sembalun District, East Lombok Regency
Authors: Maryati Sri , Danasari Idiatul Fitri , Sari Ni Made Wirastika , Supartiningsih Ni Luh Sri , Sjah Taslim 
Published: November 2023

This study aims to identify and analysis of the entrepreneurial behaviour of garlic farmers as entrepreneurial farmers in the garlic production center area in Sembalun District, East Lombok Regency. This research was conducted in March–May 2023. The data used were primary data obtained through interviews with 80 farmers in Sembalun Bumbung and Sembalun Lawang Village; both locations were chosen because they were villages with the highest number of farmers, production, and garlic land area in Sembalun District. The analysis of the Entrepreneurial Behavioural Index (EBI) is carried out statistic descriptive using FAO ideas. It is classified into four components: Entrepreneurial Qualities, Entrepreneurial Competencies, Managerial Competencies, and Technical Competencies. The results showed that the entrepreneurial activities of garlic farmers in the national garlic production center area of Sembalun District, East Lombok Regency, were still dominated by low levels of entrepreneurial activity in the criteria of entrepreneurial qualities (63.75%) and entrepreneurial competencies (51.25%). While the Managerial Competencies criteria are at a high level (51.25%), and the Technical Competencies criteria are at a moderate level (51.25%). As consequences, training, farmers’ field schools, and extension services are still needed to improve the quality and competence of garlic farmers as a whole.
Time to market access in Italy: duration of the P&R process for rare disease drugs
Authors: Marcellusi Andrea , Raimondo Paola , Galeone Carlotta , Canonico Pier Luigi 
Published: November 2023

Objective: This paper aims to investigate the duration of the pricing & reimbursement (P&R) procedures submitted in Italy by pharmaceutical marketing authorization holders (MAH) for drugs indicated for rare diseases.
Methods: All the data used in this analysis were publicly available on different sources of the Italian Ministry of Health, the Italian Medicines Agency (AIFA) and other official websites. The information was systematically collected to investigate the timeline (days) needed to complete the P&R process. The process was divided into 6 simplified steps and the median and range of days needed for each phase were estimated based on data reported in official/published documents. The analysis was stratified considering every single step of the assessment phase and included segmentation of drugs into indications for rare diseases, Orphan designation, Innovation assessment and Managed entry agreements (MEAs).
Results: Overall, 181 first indication procedures were submitted to AIFA in the period considered and, of these, 167 (92.3%) were completed and 129 procedures were considered for the final analysis and the median duration of the entire process (MAH submission to final Gazette publication) was 434 days (range 176.0-918.0). The duration of procedures for rare diseases (n = 53) was longer than those for non-rare-disease procedures (n = 76) (463.0 days vs 407.5 days respectively). Among rare disease procedures, orphan designation and MEAs represent predictors for time prolongation while innovation is associated with a shorter assessment time.
Conclusion: The study describes the time spent in each phase of the assessment and the appraisal process and demonstrates that uncertainty represents the main driver for the increment in the overall time.