bluuebunny/crossref_metadata_2025_split huggingface dataset:
Validation of GF-AAS Method for the Determination of Aluminium Content in Human Albumin Finished Product
Authors: Kumar Anoop , Maheriya Tanya , Madhu Y. , Neetu K. , Chander Harish , Kumari Meena 
Published: September 2024

Background:
Purified human albumin fractionated from plasma has a complex matrix
that imposes a lot of interference in quality control testing, particularly for impurities at trace level.
In this study, a simple approach has been studied and validated for the quantification of aluminium
content using Graphite Furnace Atomic Absorption Spectrometry (GF-AAS). As per international
guidelines, the linearity, accuracy, precision, specificity, limit of detection, and quantification
have been assessed.

Results:
The linearity of the analyte response was evaluated over the range of concentrations from
5μg/L to 45 μg/L, and the correlation coefficient obtained was greater than 0.99. The mean recovery
obtained for the accuracy ranged from 102.29% to 106.81% at three concentration levels. The
specificity/selectivity evaluated for possible interference from other metal ions and relative standard
deviation for the high and low content was 10.24% and 6.50%, respectively, which was statistically
verified and not significant. Method precision was evaluated for repeatability and intermediate
precision, and the relative standard deviation obtained was 1.83% and 4.61%, respectively.
The limit of detection and quantification obtained was 1.30 μg/L and 4.10 μg/L, respectively.

Conclusion:
Results obtained for the method performance show the suitability of the method for
aluminium estimation in human albumin samples and should be used to control the limit of aluminium
in human albumin blood products.
Development and Validation of an RP-UFLC Method for the Estimation of Oxaliplatin Drug for the Preparation of Oxaliplatin Nanoparticles
Authors: Khanra Samanwita , Roychowdhury Parikshit , Kuppusamy Gowthamarajan , Bhuyan Nihar Ranjan , Ramaswamy Shanmugam , M R Jeyaprakash 
Published: September 2024

Background:
Oxaliplatin, a platinum-based antineoplastic agent, is widely used to treat
colorectal cancer. It is well-known for its capacity to hinder the development and division of cells, especially
fast-dividing ones, like cancer cells, via the creation of DNA adduct. The currently published
oxaliplatin analytical methods require a complex, difficult-to-understand procedure, and are costly.

Objective:
The main objectives of our study were to select the chromatographic parameters, develop a
UFLC method and validate it, and validate the results according to ICH guidelines.

Methods:
In this UFLC study, a normal phase C18 column (250cm x 4.6 mm x5 μm) with a mobile
phase containing 0.01 M orthophosphoric acid and acetonitrile (95:5 V/V) has been used at pH 3.5.
Flowrate has been fixed at 1ml/min and the sample has been tested in the UV range for detection. The
methods have been validated for precision, linearity, forced degradation studies, robustness, and accuracy.

Results:
The retention time of the drug has been found to be >8min. The calibration curve of the drug
has been obtained within the range of 10–240 μg/ml. The results of this analysis have been validated
according to ICH guideline Q2 (R1) for registration of human use.

Conclusion:
The UFLC method we have used for oxaliplatin quantification has been found to be simpler,
easier to understand, and more cost-effective than standard HPLC as it has consumed less mobile
phase and less time. Thus, we can conclude that this new, simple, and easy method may be a useful
alternative to the existing standard methods for oxaliplatin.
A Review over Mitochondrial Diseases Due to mtDNA Mutations: Recent Advances and Remedial Aspects
Authors: Bharadwaj Alok 
Published: September 2024

:
Mitochondria, also called ‘powerhouse of the cell’, is meant for energy generation
in eukaryotic cells. This action is performed by mitochondria through the oxidative phosphorylation
(OXPHOS) of the respiratory chain (RC). Based on the functioning of the cell, the
number of mitochondria varies up to thousands in number. Mutations in the mitochondrial
DNA (mtDNA) and/or nuclear DNA (nDNA) genes may lead to the generation of primary
mitochondrial disease (PMD) that affects the structure and function of mitochondria. The diagnosis
of such mitochondrial diseases occurs in early childhood and it can lead to serious,
fetal and multi-organ diseases. Understanding epigenetic events and changes in the pathway
can help improve the effectiveness of treatment. However, there are several reasons lack of the
disease symptoms (age, sign, symptoms, morbidity and lethality), restricted availability of preclinical
models along with extensive phenotypes that hamper the development of efficient
drugs. Despite the introduction of new treatments and the encouraging results of treatments
and therapies, there is no effective cure for PMD.

:
This article contains information about the changes associated with cytopathic diseases that
make possible the analysis of various diseases by genetic techniques. Increasing our understanding
of how mitochondrial DNA mutations affect mitochondrial metabolism and subsequently
result in neurodegenerative disease will prove vital to the development of targeted
therapies and treatments.
A Hybrid Framework for Fake News Detection Using Explainability of Artificial Intelligence
Authors: Birunda Shunmugavel Selva , Nagarajan Suresh Kumar , Rangaswamy Kanniga Devi , Muthiah Muthukannan 
Published: September 2024

Aims and Background:
As the COVID-19 pandemic develops, there is a lot of false information
floating around on social media, and the risks are huge. This is why identifying and countering
disinformation campaigns is so important. Modern deep learning models that employ Natural-
Language-Processing (NLP) approaches, such as Bidirectional-Encoder-Representations-from-
Transformers (BERT), have been quite effective at identifying disinformation.

Objectives and Methods:
To tackle the spread of false information on COVID-19, we present an
explainable NLP approach that utilizes DistilBERT and Shapley-Additive-exPlanations (SHAP), two
powerful and efficient frameworks. A dataset consisting of 984 assertions regarding COVID-19 that
were factually verified was initially compiled. The DistilBERT model achieved superior performance
in spotting COVID-19 disinformation after we doubled the dataset's sample size using backtranslation.

Results:
Compared to more conventional machine learning models, it performed better on both datasets.
Additionally, we used SHAP to enhance the explainability of the models, which were then
tested in amid-subjects experimentation with three constraints: text(T), text+SHAP explanation(
TSE), and text+SHAP explanation+source and evidence(TSESE). The goal was to increase
public trust in the models' predictions.

Conclusion:
Compared to the T condition, the TSE &TSESE constraints showed a substantial increase
in participants' confidence and sharing of COVID-19-related information. Improving public
trust and identifying COVID-19 disinformation were two important outcomes of our study.
Study on the Performance of High-speed Gas-liquid Two-phase Centrifugal Pump with Impeller Perforation
Authors: Hu You Cai , Xu Ji Yang , Wang Yan Wei 
Published: September 2024

Objective:
In order to meet the requirements of high performance of centrifugal pump,
the influence of the size and position of the impeller opening on the external characteristics of the
pump was studied.

Methods:
In recent years, patents and technologies have provided favorable conditions for the research
of centrifugal pumps. The method of numerical simulation and experimental comparison
was used to improve the performance of the high-speed TPE centrifugal pump by perforation of the
impeller.

Results:
In the case of a large inlet void fraction, opening can improve the performance of highspeed
centrifugal pump.

Conclusion:
The pump performance is subject to two non-linearly related variables-the diameter of
the hole and its radial position. In the process of affecting the pump efficiency, it is necessary to
take into account their effects on the hydraulic loss and the gas volume distribution in the impeller
to achieve the optimal balance.
Smart longline: a tool to help fishermen detect fish and location with smartphone integration
Authors: Kamarudin Kamarudin , Hidayatullah Muhammad Ragil , Novaris M. Abizar , Purba Riska Derliana 
Published: September 2024

Longline is widely used by fishermen in Indonesia. The use of longlines, which require fishermen to go back and forth periodically to check the catch, creates problems of time and fuel. This research aims to develop a fishing tool for fishermen that will be more efficient in terms of time and fuel. The method used is a literature study related to the components to be used, the design of electrical, mechanical, interfaces and microcontroller programs, as well as the assembly of components and testing tools. The research was conducted from March to July 2022 at the Batam State Polytechnic with the test site at Nongsa Beach, Batam City. The result of this research is a smart longline prototype that can detect fish pulls using accelerometers as vibration detectors on each hook, and locate them using GPS features processed by the Mappi 32 microcontroller using LoRa communication. The information is displayed on the fishermen's smartphones. This allows the fishermen to monitor their catch without having to regularly check the longline. This tool is also equipped with a solar panel as a power source allowing it to operate for 25 hours above sea level. A future proposal for this research includes making a smart longline capable of detecting the species of fish caught. This would help fishermen analyze the species of fish in the water.
Design analysis of the baseplate of a stack module using computer-aided engineering
Authors: Iqbal Muhammad , Puspitasari Etik 
Published: September 2024

A PWM rectifier is a power converter that functions to convert alternating current into direct current using pulse width modulation (PWM). The baseplate is an important part of the PWM rectifier box, which acts as a stack module holder and has an important role in maintaining the stack module and increasing the power conversion efficiency and reliability of the train traction system. This study aims to determine the effect of variations in material and plate thickness used on Von Mises stress, deformation, and safety factors as well as the mechanical properties of the designed baseplate. The research method used is finite element analysis (FEA) by doing 3D modelling using CAD software and a simulation process using computer-aided engineering (CAE) software with material and plate thickness variations. The results obtained the best baseplate based on the value of Von Mises stress and minimum deformation, as well as the maximum safety factor, namely the baseplate with SS400 material with a plate thickness of 5 mm, with a minimum Von Mises stress value of 76.374 MPa, a minimum deformation value of 0.13611 mm, and a maximum safety factor value of 3.1424. It indicates the effect of material and plate thickness on the value of Von Mises stress, deformation and the resulting safety factor, thus affecting the mechanical properties of a good and safe baseplate in maintaining the performance of the stack module.
Cultura Viva - 20 anos: uma análise da trajetória entre programa, política e conceito em políticas públicas de cultura
Authors: Lima Deborah Rebello , Rodrigues Luiz Augusto F. 
Published: September 2024

Este artigo se volta para uma breve análise histórica da Política Nacional de Cultura Viva (PNCV) que, em 2024, completa 10 anos de institucionalização. Vale enfatizar que a efeméride também se vincula aos 10 anos de criação do programa de cooperação internacional IberCultura Viva, construído em inspiração ao modelo brasileiro. Além de representar os 20 anos de operação local do “conceito Cultura Viva” enquanto ideário de política pública. Parte-se do pressuposto que a análise desta política, em suas mais variadas frentes, é um elemento importante para compreender o caso brasileiro. Afinal, é pertinente se debruçar sobre um objeto, um exemplo de política cultural de corte contemporâneo, que apesar do início tímido e com uma operação não tão complexa, alcançou uma importância política e uma visibilidade surpreendentes. Este artigo busca refletir em três dimensões. A primeira mergulha na depuração do conceito cultura viva e suas interlocuções como política pública de cultura. A segunda perspectiva debate sobre o exercício da Cultura Viva ao “provocar” a invenção do Estado: podemos inferir sobre a experiência de gestão do então programa em proporcionar debates sobre novos instrumentos e operações de políticas. E, por último, tratamos da dimensão de arregimentação política, da provocação à cultura política nacional de desarticulação para uma mudança de 180º e a reivindicação de uma gestão compartilhada. A análise proposta busca enfatizar a importância da PNCV como uma ação estruturante de uma nova agenda de políticas públicas de cultura.
Utilizing Continuous Glucose Monitoring for Early Detection of Gestational Diabetes Mellitus and Pregnancy Outcomes in an Asian Population
Authors: Lim Beth S.Y. , Yang Qian , Choolani Mahesh , Gardner Daphne S.L. , Chong Yap Seng , Zhang Cuilin , Chan Shiao-Yng , Li Ling-Jun 
Published: September 2024

OBJECTIVE
We explored the potential value of continuous glucose monitoring (CGM) in early pregnancy in predicting gestational diabetes mellitus (GDM) and pregnancy outcomes.

RESEARCH DESIGN AND METHODS
The study recruited 103 multiethnic Asian pregnant women with overweight or obesity from a hospital-based, prospective cohort. All of them had worn blinded CGM devices in early pregnancy and underwent the universal GDM screening at 24–28 gestation weeks. Models were selected based on early pregnancy risk factors and CGM-derived parameters to compare their respective predictive values for GDM and pregnancy outcomes.

RESULTS
Eighteen GDM cases were ascertained. CGM-derived novel parameters demonstrated greater performance (e.g., area under the curve: 0.953 vs. 0.722) for predicting incident GDM compared with the model using traditional risks. Such novel CGM-derived parameters significantly differentiated primary cesarean and large-for-gestational age babies.

CONCLUSIONS
Our data suggest CGM's potential clinical utility in the first trimester for predicting GDM and adverse pregnancy outcomes, particularly in individuals with overweight or obesity.
Modular-Based Multifunctional Product Design Made from Furniture Waste Toward the Circular Economy: Case in Indonesia
Authors: Sari Diana Puspita , Hartini Sri , Azzahra Faradhina , Arsiwi Pramudi , Prayoga Riswanda G. 
Published: September 2024

Abstract
The furniture industry is one of the industrial sectors that has a potential market in Indonesia. This industry requires a lot of wood raw materials but is faced with a wood legality verification system that limits raw materials. Industrial players still need to start using waste as raw materials, which will reduce the use of primary raw materials. The circular economy concept can be applied to waste treatment. This study aims to design a pump-gallon product made from waste, considering the relatively high level of gallon container consumption. With this design, it is hoped to utilize waste into economically valuable products while reducing the environmental impact it causes. The product design process uses an integrated QFD-TRIZ method combined with circular economy principles. QFD functions to determine consumer desires and make technical responses, while TRIZ resolves contradictions in technical responses. The circular economy attribute is used as a reference in making gallon pump products from wood waste. After the design process is complete, it is followed by an economic feasibility analysis using the cost-benefit ratio. The result of this research is the design of multifunctional and modular products for gallon pumps. The gallon storage is designed to store not only gallons but also a small table for placing dirty glass and a drawer at the bottom that can be used to keep the glass or other items. There is a detachable system between the upper and lower components, making it easier to repair and use. At the bottom, they mounted castor wheels to facilitate product movement. Designing products made from waste will increase the income of furniture SMEs. In addition, it is expected that this will overcome waste management problems and shortages of raw materials experienced by furniture SMEs. Future research can utilize powder and smaller pieces of wood.
Managing Risk and Uncertainty in Machine Replacement Decisions Using Real Options Analysis and Monte Carlo Simulation
Authors: Momani Amer , Khrais Samir , Almahmood Ro’a 
Published: September 2024

Abstract
The present research discusses the application of risk management tools and Real Option Analysis (ROA) to assess and quantify managerial flexibility in machine replacement decisions under uncertain conditions. Different management configurations are used for the real options approach: options to execute, options to delay, and options to cancel. This reflects the uncertainty inherent to each stage of planning. Uncertainties such as future demand and life-cycle costs are implemented in the model as probability distributions. Monte Carlo simulation is employed to deal with such uncertainties and to facilitate experimental trials. The net present value is used as a decision criterion to determine the best replacement option under different replacement and real option scenarios. Herein, a case study to evaluate different replacement alternatives was conducted for the garment industry. Results of the stochastic net present value, mean-standard-deviation scatter plot, and stochastic dominance showed that the best option was to rent and then buy a new machine of reduced size but greater technological advancement. Finally, tornado diagrams and perfect control methods were used to analyze uncertain factors in order to improve the model and further minimize uncertainty effects.
Generating Models for Numerical Strength Tests of 3D Printed Elements
Authors: Bołoz Łukasz 
Published: September 2024

Abstract
Additive manufacturing, or 3D printing, has become very common in professional applications in many industries. The 3D printing technology is especially suitable for making prototypes, demonstrators and small-batch production. The stiffness and strength of 3D prints depend on many factors, including among others infills, which are specific to this technology, as well as the orientation of the object during 3D printing. Where the stiffness or strength of an element is crucial, the only way is to empirically assess its properties. The advantage of 3D printing, i.e. incomplete infill of the interior of an object with the use of different types of infills (patterns) and different amounts of material, means that its mechanical properties differ from those of a solid element. The application of numerical tests, i.e. the finite element method (FEM), requires the creation of a 3D model while taking this infill into account. The modelling of elements for performing numerical strength calculations is time-consuming and labour-intensive. The article presents a proprietary original analytical method for generating various types of infills with varying infill density. The method was developed for typical infills (Grid, Triangular, Honeycomb). It was next implemented in the CAD environment using the iLogic tool of Autodesk Inventor. As a result, a tool for creating 3D models of objects consistent with those obtained from 3D printing was obtained. The method and tool were verified. Next, the influence of selected parameters of the 3D print on its mechanical properties was presented on three real objects. The results of numerical analyses revealed measurable benefits of such tests. The research conclusions also constitute recommendations for selecting the type and infill density of an object and its orientation in the printer with regard to the strength and stiffness obtained.
Clustering Based Heuristics for Aligning Master Production Schedule and Delivery Schedule
Authors: Astanti Ririn Diar , Ai The Jin 
Published: September 2024

Abstract
Making a Master Production Schedule (MPS) is a very important activity for a manufacturing industry. This is due to the fact that MPS serves as an input for material and production planning. Between the years 2020 and 2022, there were significant fluctuations observed in container freight rates. As response, a lot of manufacturing industry focus on optimizing their container delivery schedule. Hence, there is a need for aligning the master production schedule with the delivery schedule. This paper presents the development of a novel heuristic approach to address problems with the creation of MPS. Specifically, the focus is on the situation where container delivery schedules are prearranged and serve as a main input for creating the MPS. There are two objective functions that are going to be reached: 1) minimize the total number of product variations or Stock Keeping Units (SKU) per month; and 2) minimize the number of SKU per container. The proposed heuristic approach uses the similarity concept to group objects in a clustering technique. It is then implemented in a real-world case of a furniture manufacturing company. Further results were obtained and then compared to the heuristic technology that had previously been used by business entities. The results show that the number of product variations (SKU) that must be performed per month is 10% lower than that of the existing heuristic. In addition, the ratio of SKU variations per container is 9% lower than that of the existing heuristic. The time required to complete the task of creating MPS is less than one minute, as opposed to the one working day required by the company’s existing heuristic.
Study of the Migration Attractiveness of the Countries of the European Continent: Analysis of the Factors of its Formation
Authors: Mosora Larysa , Lopushynskyi Ivan , Midor Katarzyna , Bembenek Michał 
Published: September 2024

Abstract
The article presents the author’s approach to the classification of types of attractiveness that may be characteristic of certain European countries. The migration attractiveness of countries is highlighted and a list of factors that can affect it is given. Factors were ranked according to the level of their impact on population migration, among which the following were highlighted: the economic development of countries, production processes, the use of more modern technologies, ensuring one’s financial well-being, and the culture of the production environment. The dynamics of the number of immigrants who moved to the studied European countries since 2020 are given. The main programs under which European countries accept migrants for permanent residence are considered the issues of providing housing, employment in the industrial infrastructure, and increasing the level of professional competence in various fields. To conduct a comparative assessment of the attractiveness of European countries for potential migrants, a set of available statistical indicators was selected, which fully reflects the main parameters of the countries’ attractiveness. Individual results obtained in the process of assessing the migratory attractiveness of the countries of the European Continent are presented, and proposals for its improvement are presented. It is proved that increasing migration attractiveness is possible by improving the social and economic attractiveness of countries. To do this, countries should create conditions for the development of various industries, create additional jobs, provide high wages, social services, protection, etc. to attract as many highly skilled labor resources from other countries as possible. As a result, the growth in the number of professional labor migrants in countries will contribute to the development of those industries that are common in the respective countries.