bluuebunny/crossref_metadata_2025_split huggingface dataset:
Smart and Secure Supply Chains in the New Era Using Artificial Intelligence
Authors: Akbar Demiral , ŞİMŞEK Murat 
Published: July 2024

Abstract

Artificial Intelligence (AI) is expected to play a huge role in the digital industry revolution, 4.0 and beyond. Added challenges presented by pandemic conditions has increased the need for effective use of digital and optimization techniques for a sustainable supply chain, both from suppliers’ and buyers’ perspectives. Buyers need to maintain a healthy pool of suppliers that can sustain added stresses and risks at times of crises, and suppliers need to improve their presence and visibility of their capabilities. Both these requirements are often addressed with more effective use of technology, particularly AI-based techniques, once the digital infrastructure with the right data set is established. For optimized supply chain management, choosing a supplier based solely on cost may prove insufficient. Buyers now must play a more proactive role towards establishing a healthy and functional arsenal of suppliers. This often requires the use of procurement decisions that go beyond short-term cost optimization but that targets long term risk optimization. Towards this goal, one of the most prevalent approaches used for planning, optimizing and forecasting the supply chains is AI-based methods. Decision support systems or relevant mechanisms need to employ practical AI techniques to handle these complex decision processes. Genetic Algorithms (GA), one of the widely used AI techniques, provides the optimal solution by analyzing multiple criteria at the same time to make an effective and efficient selection in supplier selection. Incorporating multiple criteria such as price, delivery time, customs and taxes, the supplier company's production type, warranty policy, quality assurance tests is very important in the competitive market environment. Among these, the use of Large Language Models (LLMs) stands out for their ability to analyze vast amounts of unstructured data, enabling more effective and efficient supplier selection by considering multiple criteria such as price, delivery time, customs, taxes, production types, warranty policies, and quality assurance tests. This capability is vital in the competitive market environment, where choosing a supplier involves not just cost considerations but also long-term risk optimization. Thus, LLMs integrate seamlessly into decision support systems, providing optimal solutions that enhance both planning and forecasting in supply chain management. In this study, an analysis was carried out through text generation with Distilgpt2, a large language model, as an effective way for supplier selection. Supplier selection was carried out using this artificial intelligence approach, which was carried out with an end-to-end approach, and the selection was made both in time and effectively.
Microneedles: An Efficient Technique to Increase Transdermal Drug Delivery System
Authors: Roy Sanjit Kr. , Ali Kazi Asraf , Biswas Mahua , Dey Abhijit , Bishal Amlan , Kuiry Abhradeep 
Published: July 2024

Abstract:
Transdermal Drug Delivery Systems (TDDS) have gained attention as a viable substitute
for traditional drug administration methods because of their controlled release capabilities and
non-invasive design. Microneedles are a new and effective technology that has attracted a lot of attention
recently to enhance the capabilities of TDDS further. The study on microneedles and their
potential to improve transdermal medication delivery is thoroughly reviewed in this review article.
The study initiates by clarifying the difficulties linked to traditional medication delivery techniques
and the benefits provided by transdermal channels. The article then explores the development
of microneedle technology, outlining the several kinds of microneedles—solid, hollow, and
dissolving—as well as their uses. Because of their special capacity to penetrate the skin's protective
layer painlessly and their ability to distribute drugs precisely and precisely, microneedles are
a highly useful instrument in pharmaceutical research. The materials, geometry, and manufacturing
processes that affect the design and creation of microneedles are critically analyzed and presented.
The manuscript delves into the latest developments in microneedle technology, encompassing
the utilization of biodegradable polymers, smart materials, and sensing components for in-the--
moment monitoring. This analysis concludes by highlighting the noteworthy advancements in the
field of microneedles and their potential to transform transdermal drug delivery systems. This thorough
knowledge seeks to further the current discussion in pharmaceutical research, encouraging
creativity and opening the door for the creation of safer, more effective drug delivery systems.
Gold Nanoparticles: An Emerging Novel Technology for Targeted Delivery System for Site-specific Diseases
Authors: Kumar Prevesh , Chandra Phool , Verma Navneet , Diksha  , Sharma Aditya , Mani Munesh , Hussain Zaira 
Published: July 2024

:
Gold Nanoparticles (GNPs) have emerged as a novel technology in the field of targeted
delivery systems, offering promising solutions for site-specific disease treatment. These nanoparticles
possess unique physicochemical properties, such as controlled size, shape, and surface chemistry,
which enable precise manipulation for enhanced therapeutic efficacy. The biocompatibility and ease
of functionalization of GNPs facilitate the conjugation with various biomolecules, including drugs,
peptides, and nucleic acids, thereby improving their targeted delivery capabilities. Recent advancements
in nanotechnology have leveraged GNPs for the treatment of a range of diseases, particularly
in oncology, cardiology, and neurology. In cancer therapy, GNPs can be engineered to target tumor
cells selectively, minimizing damage to healthy tissues and reducing side effects. This is achieved
through the conjugation of GNPs with tumor-specific ligands, antibodies, or aptamers, which direct
the nanoparticles to malignant cells, allowing for localized drug release and improved therapeutic
outcomes. Moreover, GNPs exhibit remarkable potential in diagnostic imaging and photothermal
therapy. Their unique optical properties, such as surface plasmon resonance, enable their use as contrast
agents in imaging techniques, providing high-resolution and real-time monitoring of disease
progression. In photothermal therapy, GNPs convert light energy into heat, effectively destroying
targeted cells with minimal invasiveness. The development of GNP-based delivery systems also addresses
significant challenges in drug resistance and bioavailability. By overcoming biological barriers
and enhancing cellular uptake, GNPs improve the pharmacokinetics and pharmacodynamics of
therapeutic agents. However, despite these advancements, the clinical translation of GNPs faces challenges
such as potential toxicity, long-term stability, and regulatory hurdles. In conclusion, gold nanoparticles
represent a cutting-edge approach in targeted delivery systems, offering significant potential
for site-specific disease treatment. Continued research and innovation are essential to overcome
existing challenges and fully realize the clinical applications of GNPs, ultimately revolutionizing
precision medicine.

:
Gold nanoparticles exhibit unique physicochemical and optical properties. The gold nanoparticles
have advanced techniques to cure different chronic diseases. Today, gold nanoparticles are aided by
photodynamic therapy and radiation therapy as drug carriers. Due to this, researchers now focus on
medical sciences to treat various diseases and therapeutic applications. This review provides all the
aspects of gold-based nanoparticles, methods, and their pharmacological benefits in different fields
of medical sciences. We also discuss various preparation methods and their advantages in pharmaceutical
formulations.
CNRBind: Small Molecule-RNA Binding Sites Recognition via Site
Significant from Nucleotide and Complex Network Information
Authors: Zhang Lichao , Xiao Kang , Wang Xueting , Kong Liang 
Published: July 2024

Background:
Small molecule-RNA binding sites play a significant role in developing
drugs for disease treatment. However, it is a challenge to propose accurate computational tools for
identifying these binding sites.

Method:
In this study, an accurate prediction model named CNRBind was constructed by extracting
site significant information from nucleotide and complex networks. We designed complex networks
and calculated three topological structural parameters according to RNA tertiary structure.
Acknowledging nucleotide interdependence, a sliding window was selected to integrate the influence
of adjacent sites. Finally, the model was constructed using a random forest classifier

Results:
Compared to the other computational tools, CNRBind was competitive and had excellent
discriminative ability for metal ion-binding site prediction. Furthermore, statistic analysis revealed
significant differences between CNRBind and existing methods. Additionally, CNRBind is a promising
predictor in cases where experimental tertiary structure is unavailable.

Conclusion:
These results show that CNRBind is effective because of the proposed site significant information
encoding strategy. The approach provides a reasonable supplement for biology researches.
The dataset and resource codes can be accessed at: https://github.com/Kangxiaoneuq/CNRBind.
PHD-BAH Domain in ASH1L Could Recognize H3K4 Methylation and Regulate the Malignant Behavior of Cholangiocarcinoma
Authors: Zhang Xiang-Yu , Li Yue 
Published: July 2024

Background:
Histone methyltransferase absent, small, or homeotic discs1-like (ASH1L) is composed
of su(var)3-9, enhancer of zeste, trithorax (SET) domain, pleckstrin homology domain (PHD) domain, middle
(MID) domain, and bromo adjacent homology (BAH) domain. The SET domain of ASH1L is known to mediate
mediate H3K36 dimethylation (H3K36me2) modification. However, the specific functions of the PHD-BAH
domain remain largely unexplored. This study aimed to explore the biological function of the PHD-BAH domain
in ASH1L.

Methods:
We employed a range of techniques, including a prokaryotic fusion protein expression purification
system, pull-down assay, Isothermal Titration Calorimetry (ITC), polymerase chain reaction (PCR), and sitedirected
mutagenesis, Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR-Cas9) gene editing,
cell culture experiment, western blot, cell proliferation assay, and cell apoptosis test.

Results:
The PHD-BAH domain in ASH1L preferentially binds to the H3K4me2 peptide over H3K4 monomethylation
(H3K4me1) and H3K4 trimethylation (H3K4me3) peptide. Notably, the W2603A mutation within the
PHD-BAH domain could disrupt the interaction with H3K4me2 in vitro. Compared with wild-type Cholangiocarcinoma
(CHOL) cells, deletion of the PHD-BAH domain in ASH1L led to increased CHOL cell apoptosis and
reduced cell proliferation (P < 0.001). Additionally, the W2603A mutation affected the regulation of the proteasome
20S subunit beta (PSMB) family gene set.

Conclusion::
W2603A mutation was crucial for the interaction between the PHD-BAH domain and the H3K4me2
peptide. ASH1L regulated CHOL cell survival and proliferation through its PHD-BAH domain by modulating the
expression of the PSMB family gene set.
Utilising Self-acupressure to Manage Type 2 Diabetes Mellitus Control Parameters
Authors: Sukarja I Made , Sukawana I Wayan , Widya Ningtyas Listina Ade , Juanamasta I Gede , Aungsuroch Yupin 
Published: July 2024

Background
In Indonesia, only two-thirds of patients diagnosed with diabetes mellitus (DM) are projected to receive both non-pharmacological and pharmaceutical treatment. The majority of patients receiving the medication do not achieve adequate control of DM.

Objective
The purpose of this study was to examine the impact of self-administered acupressure on type 2 DM (T2DM) management parameters, specifically targeting ST36, LR3, KI3, and SP6 acupuncture points.

Methodology
This study utilised an experimental research design and included a total of 25 patients with diabetes mellitus from the Gianyar Public Health Centre. Participants were selected using a simple random sampling technique. The individuals underwent a 13-week training program to learn self-acupressure techniques targeting certain areas of their bodies, including Zusanli (ST36), Taichong (LR3), Taixi (KI3), and Sanyinjiao (SP6). The control parameters of diabetes mellitus were examined both before and after therapy.

Results
The analysis revealed significant differences in the p-values of various control parameters before and after self-acupressure. Specifically, the p-values for HbA1c, LDL, BMI, systolic pressure, fasting blood glucose, and 2 hours post-prandial glucose were found to be p<0.001, indicating self-acupressure, as a complementary therapy, has an impact on these parameters. However, the p-value for diastolic pressure was 0.57, suggesting that self-acupressure did not have a significant effect on this parameter.

Conclusion
The application of self-acupressure at certain points such as ST36, LR3, Taixi, and SP6 has been proven to effectively reduce the control parameters of diabetes mellitus including HbA1c, LDL, BMI, systolic pressure, and fasting blood glucose levels. It is recommended that those who are enrolled in the complementary traditional health care program in the community provide advice on how to perform self-acupressure in diabetic patients.
Challenges in Insulin Therapy: Perspectives of Malaysian Diabetes Educators
Authors: Yahya Nur Shazwaniza , Mulud Zamzaliza Abdul , Daud Ahmad Zamir Che , Ahmad Fauziah 
Published: July 2024

Background
Individuals with type 2 Diabetes Mellitus (T2DM) commonly need insulin therapy as their condition advances. Healthcare providers often face difficulties in managing patients who require insulin treatment. Gaining insight into the views of healthcare professionals on the obstacles encountered by patients using insulin can aid in improving care and developing effective treatment plans.

Objective
This study explores the views of Malaysian diabetes educators on the barriers faced by patients in using insulin.

Methods
Semi-structured qualitative interviews were conducted with diabetes educators (n=8) from the northern, central, and southern regions of Malaysia who were involved in diabetes care. We used an interview guide to facilitate the in-depth interviews, which were digitally recorded, transcribed verbatim, and analyzed using a thematic approach.

Results
Five themes were identified: the occurrence of side effects, the need for better patient education, negative perceptions towards insulin, the financial burden, and the complexity of adherence to treatment. There is a lack of patient education on proper glucose monitoring and how to optimize insulin therapy. The cost of treatment and patient ignorance are highlighted when discussing patient self-monitoring of blood glucose. Diabetes educators recognize that the absence of an effective follow-up mechanism is a major issue, particularly for those patients who fail to maintain consistent appointment schedules.

Conclusion
This research highlights five significant obstacles to maximizing the effectiveness of insulin therapy. Diabetes educators who identify and address these challenges can empower patients to manage their condition effectively. To overcome systemic barriers, government involvement is needed in creating insulin follow-up initiatives, establishing multidisciplinary teams for diabetes care, empowering education strategies, and providing financial support for self-monitoring.
Green Synthesis of Thiazoles and Thiadiazoles having Anticancer Activities under Microwave Irradiation
Authors: Majhi Sasadhar , Mitra Piyali , Mondal Pankaj Kumar 
Published: July 2024

:
Sulfur and nitrogen-containing heterocycles have received a great deal of attention due to their unique structures and therapeutic relevance. Thiazoles and thiadiazoles are important five-membered heterocycles containing sulfur and nitrogen atoms that draw the special attention of re-searchers due to their synthetic diversity and potent pharmacological properties. Thiazoles and thi-adiazoles are used in agrochemicals, liquid crystals, sensors, the cosmetic industry, cyanine dyes, etc. Sometimes, organic synthesis, including thiazoles and thiadiazoles syntheses with the help of conventional methods, is laborious work, while synthesis of promising organic molecules using microwave irradiation provides better yields, diminishes the reaction time, and reduces unwanted side products. The major causes of death worldwide are due to cancer. Current research demands the design and preparation of novel compounds, including thiazoles and thiadiazoles, that may help to combat cancer, as chemotherapy or chemo drugs suffer from some demerits, including toxicity, lack of selectivity, resistance, and side effects. Hence, the review focuses on the microwave-assisted synthesis of thiazoles and thiadiazoles as a sustainable technique for the first time, and it also aims to highlight the anticancer activities of thiazoles and thiadiazole derivatives elegantly.
Contemporary Nanoemulsion Research: Extensive Examination of Self-Nanoemulsifying Drug Delivery Systems
Authors: Patel Aakriti , Singh Astha , Minocha Neha 
Published: July 2024

Abstract:
The administration of new pharmaceutical compounds orally can pose certain challenges
in terms of drug absorption, bioavailability, and pharmacokinetic profile. However, a widely
recognized method for enhancing bioavailability involves lipid-based drug delivery systems.
Lipid-based drug delivery systems (LBDDS) are the most favourable method for formulating
medicines that have low solubility in water. Nanotechnology exerts a significant impact on the
therapeutic efficacy of hydrophobic medicines and has emerged as a crucial method in the field of
drug delivery research. Self-nanoemulsifying drug delivery systems (SNEDDs) are an important
approach that combines the advantages of lipid-based drug delivery systems (LBDDS) and nanotechnology.
SNEDDs are currently the favoured method for enhancing the formulation of pharmaceuticals
that have low solubility in water. SNEDDs are homogenous mixtures that can self-emulsify
spontaneously with gentle stirring, forming an oil-in-water emulsion that conveniently protects
and creates a pathway for the lipophilic drug. The small particle size of <200nm increases
the solubilisation capacity of the drug by increasing its surface area. SNEDDs have demonstrated
the ability to enhance the bioavailability of medicines that are not easily soluble in water.
SNEDDs stand apart from other solubility enhancement approaches due to their inclusion of
biodegradable components, their ease of large-scale manufacture, and their numerous potential for
drug targeting. The aim of the present review was to provide basic knowledge about formulation,
applications, and benefits of using SNEDDs. A detailed manuscript has been prepared by doing a
literature survey on databases like Google Scholar, SCOPUS, and Pubmed to review the current
state of nanotechnology applications, industrial developments, and challenges for using SNEDDS
as a novel delivery system is provided in this manuscript.
Further Exploring the Public Health Implications of the Network Scale-Up Method: Cross-Sectional Survey Study
Authors: Jing Liwei , Yu Hongmei , Lu Qing 
Published: July 2024

Abstract

Background
The decline in the number of new HIV infections among adults has slowed down, gradually becoming the biggest obstacle to achieving the 2030 target of ending the HIV/AIDS epidemic. Thus, a political declaration to ensure that 90% of people at high risk of HIV infection can access comprehensive prevention services was proposed by the United Nations General Assembly. Therefore, obtaining an accurate estimated size of high-risk populations is required as a prior condition to plan and implement HIV prevention services. The network scale-up method (NSUM) was recommended by the United Nations Programme on HIV/AIDS and the World Health Organization to estimate the sizes of populations at high risk of HIV infection; however, we found that the NSUM also revealed underlying population characteristics of female sex workers in addition to being used to estimate the population size. Such information on underlying population characteristics is very useful in improving the planning and implementation of HIV prevention services. This is especially relevant for people who inject drugs, where in addition to stigma and discrimination, criminalization further hinders access to HIV prevention services.

Objective
We aimed to conduct a further exploration of the public health implications of the NSUM by using it to estimate the population size, popularity ratio, and information transmission rate among people who inject drugs.

Methods
A stratified 2-stage cluster survey of the general population and a respondent-driven sampling survey of people who inject drugs were conducted in the urban district of Taiyuan, China, in 2021.

Results
The estimated size of the population of people who inject drugs in Taiyuan was 1241.9 (95% CI 1009.2‐1474.9), corresponding to 4.4×10−2% (95% CI 3.6×10−2% to 5.2×10−2%) of the adult population aged 15‐64 years. The estimated popularity ratio of people who inject drugs was 53.6% (95% CI 47.2%‐60.1%), and the estimated information transmission rate was 87.9% (95% CI 86.5%‐89.3%).

Conclusions
In addition to being used to estimate the size of the population of people who inject drugs, the NSUM revealed that they have smaller-sized personal social networks while concealing their drug use, and these underlying population characteristics are extremely useful for planning appropriate service delivery approaches with the fewest barriers for people who inject drugs to access HIV prevention services. Therefore, more cost-effectiveness brings new public health implications for the NSUM, which makes it even more promising for its application.
Proposal and Evaluation of Vertical Vibration Theory of Air Caster
Authors: Ito Tetsunoshin , Mehrdad Sadeghzadeh Nazari  , Kazuaki Inaba  
Published: July 2024

Urbanization and human development have increased the exposure of seismic risk. Therefore, engineers need to develop new and more efficient technologies to protect people and objects from the disastrous consequences of earthquakes. Air casters have gained attention and have been utilized in the past decade as effective seismic vibration control devices. Although such active isolation systems perform well in mitigating horizontal input vibrations, they might cause excessive rocking motions, if not designed properly. This fact emphasizes the importance of exploring the vertical dynamic properties of air isolation systems. To gain such an understanding, this research examines and proposes a formula for the vertical stiffness and damping of air caster systems. Theoretical solutions to the vertical stiffness and damping of such systems have been explored. Computer simulations considering fluid-structure interaction have also been performed to understand the dynamic behavior of the supporting air layer. Results have been compared to validate the proposed dynamic quantities within the considered simulation range. It is also concluded that the instantaneous air layer thickness, representing the air chamber pressure, and the bearing inlet flow rate are the key factors in determining the dynamic properties of the air layer. It is concluded that to evaluate the performance of the air caster seismic isolation device and increase the probability that the qualified seismic isolation performance will be exhibited, it is necessary to investigate which parameters are greatly involved in the viscous damping coefficient and the spring constant of amass-spring-damper system equivalent to the air caster isolation system.