bluuebunny/crossref_metadata_2025 huggingface dataset:
Classification of Palm Fruit Ripeness Level Using Learning Vector Quantization (LVQ) Method
Authors: Rudhistiar Deddy , Wahyani Widhy , Yusri Thesa Adi Saputra
Published: August 2024

The implementation of Learning Vector Quantization (LVQ) to classify the ripeness of oil palm fruits is investigated in this study. In addition, this study provides a comprehensive set of procedures ranging from data collection and pre-processing to training and testing of the LVQ model, and finally, the proposed method has been validated by testing it on previously unseen data. Three feature extraction methods, specifically Gray-Level Co-occurrence Matrix (GLCM), Hue, Saturation, and Value (HSV), and t-Distributed Stochastic Neighbor Embedding (t-SNE), were assessed for their performance. The results show that the chosen feature extraction method strongly influences the classification performance. The accuracy of the model employing t-SNE features is notably the highest at 50%, indicating its efficacy in identifying the ripeness level of palm fruits by extracting pertinent features. On the other hand, the GLCM feature has a 40% accuracy in the test data, suggesting that although it captures information on texture, it may not comprehensively encapsulate ripeness characteristics. Additionally, the HSV feature achieves an accuracy of 45%, which is less precise than that of t-SNE. To conclude, this study elucidates the appropriateness of various feature extraction techniques in categorizing the degree of ripeness in palm fruits. The t-SNE feature extraction model stands out as the most efficient option, exhibiting greater precision in comparison to other methodologies.
Implementation of Application and Product System (SAP) in Metal Coating Process Manufacturing Company
Authors: Widya Adi Rusdi , Supriyanti Supriyanti
Published: August 2024

In the development of the Industrial Revolution 4.0 era, the use of an Enterprise Resource Planning System is a long-term investment for a company to improve efficiency, performance, and decision-making tools for the company. In general, it uses a centralized database for various business processes to reduce manual labor and simplify existing business workflows. ERP systems usually contain Dashboards where users can view real-time data collected from across the business to measure productivity and profitability. This means that any data or information received will be updated immediately as soon as the user inputs the data into the time system even though the data has been closed, the company can know and control the condition of the company every day and can control a production process so that decision making can be done quickly, carefully, and precisely because it is based on valid internal data and is always up to date. there is still a difference in data between the transaction process, The purpose of the research is to process information in real-time and accurately, The research stage begins with a literature study, hardware prototypes, and making programs, The results of the research are an increase in transaction accuracy of 43% after SAP implementation is optimally implemented.
Real Time Smart Trash Bins Monitoring System Using Fuzzy Logic Method in Kuripan Village
Authors: Nugroho Dwi Septiyan , Rosad Safiq , Agustin Ninik
Published: August 2024

The rise of electronic technology has transformed people's lifestyles, and they now want convenience, automation, and flexibility, including when it comes to keeping the environment clean by disposing of rubbish where it belongs. However, despite the importance of this issue, awareness of the need to dispose of waste in its proper place remains low. Additionally, garbage bin supervision in Kuripan Village is still manual, exacerbating the problem of waste accumulation caused by the increasing population. To address this issue, we developed an IoT-based system that utilizes the Fuzzy Logic method. This mathematical approach enables the modeling of uncertainty in data processing. The system allows for real-time monitoring of the garbage load level, notifying staff when action is required. The Fuzzy Logic method is then used to determine the appropriate action based on the garbage load level and the last cleaning time. This research involves developing a prototype that uses NodeMCU ESP8266, HC-SR04 ultrasonic sensor, and LCD for data monitoring. The sensor testing demonstrated an accuracy of approximately 96.7%. The system includes an application interface with a login page, main dashboard, volume dashboard, and time dashboard.
The Applications of Mamdani Fuzzy in Water Selection of Pangas Catfish Ponds
Authors: Adi Rizki Mugi Setya , Michelli Laureta Mauren , Alkori Hardian , Ramadhan Rexy Gilang
Published: August 2024

In the field of fisheries, the selection of ponds water for Pangas catfish is very important because it affect the production and quality of fish. The purpose of this research is to apply the Mamdani fuzzy method in selecting suitable ponds water for Pangas catfish. The method used includes collecting data on water quality and environmental conditions, constructing the Mamdani fuzzy system and evaluating the results of selecting ponds water. The results of the study show that the Mamdani fuzzy method is able to provide a good solution in selecting ponds water for Pangas catfish by combining several factors such as temperature, pH and oxygen solubility. This concept can be used as a consideration in selecting the right ponds water for Pangas catfish so as to increase fish production and quality.
Classification of Marine Fish Based on Image Using Convolutional Neural Network Algorithm and VGG16
Authors: Wibisono Dimas Adira , Buhanuddin Auliya
Published: August 2024

Marine fish are one of the many natural resources that frequently consumed by people. However, several types of marine fish are prohibited from consumption due to being nearly extinct. Additionally, some fish species contain high levels of mercury that can be harmful to human if consumed. Because of the large number of marine fish species, it becomes challenging to identify them without knowledge of fisheries. Moreover, computers have become highly advanced devices that facilitate various human activities. This advancement allows for the creation of systems capable of processing information from images, known as image classification. There are numerous methods that can be employed in designing an image classification system, one of which is transfer learning. This study was aimed to design an image classification system using the transfer learning method with a pre-trained VGG16 model and Convolutional Neural Network algorithm. The research results showed a training data accuracy of 100% and a validation data accuracy of 99.3%, with an overall accuracy of 84% and a loss value of 0.6591.
Book Review Capturing the Essence: Techniques for Bird Artists — re-release edition by William T. Cooper
Authors: Frith Clifford
Published: August 2024

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Psychosocial Factors in Evidence-based Management Interventions and Policymaking: The COPSOQ III Greek Validation Study
Authors: Kotsakis Aristomenis , Avraam Demetris , Malliarou Maria , Halkiopoulos Constantinos , Galanakis Michael , Sfakianakis Michael , Soteriades Elpidoforos S.
Published: August 2024

Background: Over the past two decades, the Copenhagen Psychosocial Questionnaire (COPSOQ) has been established as a valid instrument to measure psychosocial stress at work. Currently, the COPSOQ international network is responsible for monitoring and improving COPSOQ. In 2019, a new questionnaire was published, and the Greek version is now being validated. Methods: The measurement qualities of the Greek COPSOQ III have been explored in accordance with the usual requirements of a validation study as defined by DIN EN ISO 10075-3. A sample of observations from 2,189 participants surveyed with the COPSOQ in Greece was used to validate the current version with appropriate statistical analyses. Exploratory factor analysis was used to assess the statistical relationships for many scales. Results: With its 108 items and 40 scales, the Greek COPSOQ III includes all psychosocial work factors that have been internationally validated and remain compatible with approximately 72% of the COPSOQ III German version content. In addition to the primary results, congruence with widely used theoretical approaches such as the demand-control (−support) model (DCM) or the job demands-resources model (JDR) is generally satisfactory. In summary, our validation study for the Greek COPSOQ III version showed adequate reliability and validity, which is in line with the findings of the COPSOQ III questionnaire from other European countries, and it is also compatible with the validation of the German COPSOQ III (Lincke, 2021). Our regression analysis revealed that 34 psychosocial work factors (34 “context” scales) could adequately predict the scores of the satisfactory and health scales (6 “outcome” scales). The analysis also revealed the top five (5) predictors (context variables) for each of the six (6) “effect” scales (outcome variables). Conclusions: With the launch of COPSOQ III in Greece, current and new workplace psychosocial aspects could be explored. COPSOQ III (GR) is a beneficial instrument for enterprise research and risk assessment.
Food Microbiology in the Post-COVID-19 Era: Insights from Bibliometric Analysis in Bioeconomics
Authors: Zúniga-Gonzalez Carlos Alberto
Published: August 2024

Background: Before the COVID-19 outbreak, food microbiology was crucial in identifying and preventing foodborne pathogens like Salmonella and E. coli. The pandemic underscored the importance of this discipline, highlighting the need for enhanced surveillance and microbiological control in the food chain to prevent future global public health threats. This research aimed to advance knowledge management in Bioeconomy, focusing on Eco-Intensification and biotechnology applications that directly affect food microbiology, especially in the context of the COVID-19 crisis. Methodology: The study involved a comprehensive literature review grounded in the epistemological principles of Bioeconomy, utilizing the Bibliometric Scopus database. This approach facilitated the exploration of the development of eco-intensification and biotechnology applications within food safety and nutrition microbiology. Results: The findings emphasize the importance of understanding the social and economic impacts of microbiological activities in food intake through a Bioeconomy lens. The research highlights the need for integrating microbiological insights into broader bioeconomic frameworks to address food safety and sustainability challenges effectively. Conclusion: Recommendations are provided for decision-makers to enhance public health agendas from a bioeconomic perspective. These recommendations aim to strengthen the focus on Bioeconomy and improve the management of interactions between food microbiology and the challenges exacerbated by the COVID-19 pandemic.
Seasonality of Psoriasis: From Genes to the Clinical Phenomena
Authors: Niedźwiedź Michał , Skibińska Małgorzata , Ciążyńska Magdalena , Noweta Marcin , Czerwińska Agnieszka , Krzyścin Janusz , Narbutt Joanna , Lesiak Aleksandra
Published: August 2024

Psoriasis is a multifactorial, chronic, and inflammatory disease that severely impacts patients’ quality of life. The disease is caused by genetic irregularities affected by the epigenetic and environmental factors. Some of these factors may include the seasonal changes, such as solar radiation, air pollution and humidity, and changes in circadian rhythm, especially in the temporal and polar zones. Thus, some psoriasis patients report seasonal variability of symptoms. Through a comprehensive review, we aim to delve deeper into the intricate interplay between seasonality, environmental factors, and the genetic and epigenetic landscape of psoriasis. By elucidating these complex relationships, we strive to provide insights that may inform targeted interventions and personalized management strategies for individuals living with psoriasis.
The Influence of the Dimensions of Lateral Ventricles After Intracranial Hemorrhage on the Psychological Test Scores of Prematurely Born Children at the Age of 3 Years
Authors: Velisavljev-Filipović Gordana Milorad
Published: August 2024

Objectives: The global quotient of psychological development, along with the motor skills, coordination, speech, and social behavior scores, was analyzed in children born prematurely with varying degrees of intracranial hemorrhage (grades I–IV), considering the unilaterality or bilaterality and dimensions of the left and right lateral ventricles. Materials and Methods: The study included 120 children divided into four groups based on gestational age: Group 1 (25–29 6/7 weeks), Group 2 (30–32 6/7 weeks), Group 3 (33–34 6/7 weeks), and Group 4 (35–37 weeks). The maximum dimensions of the right and left lateral ventricles were recorded via ultrasound. At 3 years of age, psychomotor development was assessed using the Brunet–Lezine scale. Statistical analysis was performed using appropriate modules in the SPSS 23.0 for Windows software package, along with Pearson’s ꭓ2 test and analysis of variance (ANOVA). Results: Differences in the global development quotient (QR) between the groups were statistically significant (p < 0.01). In Group 1, a larger dimension of the left lateral ventricle was associated with a decrease in motor skills, while in Group 2, a larger dimension of the right ventricle resulted in a significant decrease in coordination. In Group 3, all observed variables—that is, motor skills, coordination, speech, and social behavior—showed minimal values with a wider right ventricle, but without statistical significance. In Group 4, a significantly lower speech score was recorded with the dilation of the left lateral ventricle. Conclusions: The sizes of the left and right lateral ventricles after the resorption of intracranial hemorrhage affect the values (scores) obtained using the Brunet–Lezine scale in children at the age of 3 years.
The Nexus of Global Risks and Higher Education— A Transdisciplinary Master’s Programme for a Technical University
Authors: Wittmann Veronika , Meissner Dieter
Published: August 2024

The issue of climate change represents a significant global risk that demands immediate attention. However, higher education frequently fails to incorporate global perspectives and intricate transdisciplinary matters. In order to integrate global and transdisciplinary aspects into the curriculum of a technical university with a focus on computer science, a Master's programme has been developed. The programme's objective is to situate global risk at the core of the curriculum, thereby encouraging scientists to work beyond the boundaries of their respective disciplines. The paper considers the challenges that science and higher education must address to facilitate pathways towards a peaceful and sustainable future. It argues for a shift in focus from short-term and localised issues to a more holistic approach, emphasising the importance of considering universal problems. The curriculum, as developed, may be regarded as a guide for future university efforts in the fields of global risk and climate change.
Therapeutic Vaccination in Chronic Hepatitis B: A Systematic Assessment by the HeberNasvac Therapeutic Vaccine Team
Authors: Aguilar Julio Cesar , Akbar Sheikh Mohammad Fazle , Al-Mahtab Mamun , Guzman Carlos Alberto , Fernandez Guillermo , Aguiar Jorge , Michel Marie-Louise , Bourgine Maryline , Acelia Marrero Maria , Trittel Stephanie , Ebensen Thomas , Riese Peggy , LeGrand Roger , Herate Cecile , Mauras Aurelie , Wedemeyer Heiner , Yoshida Osamu , Hiasa Yoichi , Penton Eduardo , Guillen Gerardo
Published: August 2024

The immune system is central in controlling acute hepatitis B infection and in patients resolving chronic hepatitis B (CHB). Given that 221 million (75%) of CHB patients reside in low- and middle-income countries, developing a vaccine with therapeutic properties represents a rational and cost-effective approach more than a romantic endeavor. This review systematically analyses the critical variables related to the safety, efficacy, and effectiveness of CHB treatments. HeberNasvac's experience is revisited to address the challenges and potentialities of therapeutic vaccines, as well as the current roadblocks in research and development, registration, and large-scale implementation.
Evaluating the Impact of Financial Development and Green Technological Innovation on Environmental Quality in BRICS Countries: A Model-Based Analysis
Authors: Alhasim Mohammed Alhashim , Rehman Mohd Ziaur , ANSARI SHOAIB , Rashid Mohammed
Published: August 2024

Scholars in the field of environmental economics have extensively examined the relationship between foreign direct investment (FDI) and economic growth. However, they have often failed to consider the crucial roles played by technological innovation and financial development in determining environmental costs. The rapid economic growth and urbanization witnessed in BRICS countries have led to a substantial increase in energy demands, resulting in significant environmental degradation. This study aims to investigate the impact of financial development (including measures such as broad money, domestic credit to the private sector, FDI, and green technological innovation) on carbon emissions in BRICS countries using data from 2001 to 2023. The results of the study demonstrate a strong cross-sectional dependence among the countries in the panel. The Augmented Mean Group (AMG) estimator reveals a negative and statistically significant long-term relationship between broad money, FDI, green technological innovation, and CO2 emissions. On the other hand, domestic credit to the private sector shows a positive and significant association with carbon emissions. To determine the direction of causality, the study utilizes the Dumitrescu and Hurlin panel causality test. The findings indicate a non-directional long-term causality between financial development and CO2 emissions. However, a unidirectional causality is observed between green technological innovation and carbon emissions. Based on these findings, the study suggests that the development of industries, financial institutions, and technological innovation is crucial for attracting high-quality FDI in BRICS countries. However, it also highlights the significant contribution of these developments to environmental degradation, necessitating urgent policy responses.
Interpretable Support Vector Machine and Its Application to Rehabilitation Assessment
Authors: Kim Woojin , Joe Hyunwoo , Kim Hyun-Suk , Yoon Daesub
Published: August 2024

This paper presents an interpretable support vector machine (SVM) and its application to rehabilitation assessment. We introduce the concept of nearest boundary point to standardize the one-class SVM decision function and determine the shortest path for data from abnormal cases to become those from normal cases. This analytical approach is computationally simple and provides a unique solution. The nearest boundary point of abnormal data can also be used to analyze the cause of abnormal classification and indicate countermeasures for normalization. These properties render the proposed interpretable SVM valuable for medical assessment applications and other problems that require careful consideration of classification results for treatment. Simulation and application results demonstrate the feasibility and effectiveness of the proposed method.
Impact of Chronic Stress on Physical and Mental Health: A Detailed Analysis
Authors: Montgomery Richard Murdoch , V. M. Gouvea Maria Antonia
Published: August 2024

Chronic stress is a pervasive issue that significantly impacts both physical and mental health. Unlike acute stress, which is short-lived and can be beneficial, chronic stress persists over extended periods, leading to a range of adverse health outcomes. This paper explores the myriad physical, mental, and behavioral consequences of chronic stress, emphasizing the underlying physiological mechanisms and potential long-term health implications. Through a comprehensive literature review and data analysis utilizing Python, we aim to provide an in-depth understanding of chronic stress and its effects. Key findings include the critical roles of cortisol and other stress-related chemicals in exacerbating health issues, and the potential for the normalization of high stress levels as an adaptive yet harmful response.
Method of AI-Based Precipitation Estimation by Using FY-4B Satellite Data
Authors: Liu Nianqing , Jiang Jianying , Mao Dongyan , Fang Meng , Li Yun , Han Bowei , Ren Suling
Published: August 2024

A smart precipitation estimation method based on FY-4B meteorological satellite data (FY-4B_AI) is proposed in this paper. This method spatiotemporally matches 125 features derived from multi-temporal and multi-channels of FY-4B satellite data with the precipitation at stations. Then a precipitation model using the Light Gradient Boosting Machine algorithm is constructed. Comparative results between FY-4B_AI and GPM/IMERG-L products for over 450 million station cases throughout 2023 shows that: 1) FY-4B_AI is superior to GPM IMERG-L in the average absolute error, root mean square error, relative error, correlation coefficient, probability of detection and critical success index. While in the mean error and false alarm rate, FY-4B_AI is slightly inferior to GPM/IMERG-L. 2) Evaluation of strong weather event applications reveals that both FY-4B_AI and GPM/IMERG-L can accurately represent the spatial distribution characteristics of precipitation, no matter in the southeast humid region or the northwest dry region. Notably, FY-4B_AI, due to its higher spatiotemporal resolution, provides a more detailed distribution of precipitation.
A Lightweight Model Enhancing Facial Expression Recognition with Spatial Bias and Cosine‐Harmony Loss
Authors: Chen Xuefeng , Huang Liangyu
Published: August 2024

This paper proposes a novel facial expression recognition network called the Lightweight Facial Network with Spatial Bias (LFNSB). The LFNSB model balances model complexity and recognition accuracy. It has two key components: a lightweight feature extraction network (LFN) and a Spatial Bias (SB) module for aggregating global information. The LFN introduces combined channel operations and depthwise convolution techniques, effectively reducing the number of parameters while enhancing feature representation capability. The Spatial Bias module enables the model to focus on local facial features while also capturing the dependencies between different facial regions. Additionally, a novel loss function called Cosine-Harmony Loss is designed. This function optimizes the relative positions of feature vectors in high-dimensional space, resulting in better feature separation and clustering. Experimental results on the AffectNet and RAF-DB datasets show that the proposed LFNSB model performs excellently in facial expression recognition tasks. It achieves high recognition accuracy while significantly reducing the number of parameters, thus substantially lowering model complexity.
UID- Dual seq Analysis of the Molecular Interactions Between Streptococcus. agalactiae and Mammary Epithelial Cells
Authors: Gong Jishang , Li Taotao , Li Yuanfei , Xiong Xinwen , Xu Jiguo , Chai Xuewen , Ma Youji
Published: August 2024

Streptococcus agalactiae is a highly contagious Gram- positive bacterium that causes mastitis, has a high infectivity for mammary epithelial cells, and is challenging to treat. However, the molecular interactions between it and mammary epithelial cells remains poorly understood. This study analyzed differential gene expression in mammary epithelial cells with varying levels of S. agalactiae infection using UID- Dual Seq and bioinformatics tools. This study identified 211 differentially expressed mRNAs (DEmRNAs) and 452 differentially expressed lncRNAs (DElncRNAs) in host cells, primarily enriched in anti-inflammatory responses, immune responses, and cancer-related processes. Additionally, 854 pathogen differentially expressed mRNAs (pDEmRNAs) were identified, mainly enriched in protein metabolism, gene expression, and biosynthesis processes. Mammary epithelial cells activate pathways, such as the ERK1/2 pathway to produce, to produce reactive oxygen species (ROS) to eliminate bacteria. However, the bacteria disrupt the host's innate immune mechanisms by interfering with the alternative splicing processes of mammary epithelial cells. Specifically, the bacterial genes of tsf, prfB, and infC can interfere with lncRNAs targeting RUNX1 and BCL2L11 in mammary epithelial cells, affecting the alternative splicing of target genes and altering normal molecular regulation.
Empirical Mass Formula for Charged Leptons
Authors: Mielke Eckehard W.
Published: August 2024

An explicit mass formula for charged leptons is proposed which employes the $(2 \ell +1)$ degeneracy of the $SU(2)$ Laplacian of quantum mechanics. Possible cosmological implications are briefly discussed.
Partial Trace ReductionWithout the Born Rule
Authors: Ring David
Published: August 2024

Reduction of the density operator for quantum subsystems is derived without the use of the Born Rule
Comparison of Kinanthropometric Values in Amateur Athletes of Different Disciplines According to their Sexual Gender
Authors: Navas Harrison Daniel Jonathan , Pérez Pico Ana María , Villar Rodríguez Julia , Mayordomo Acevedo Raquel
Published: August 2024

Background/Objectives: Kinanthropometry is the science that deals with the measurement of variations of the physical dimensions and composition of the human body, according to the age and different degrees of nutrition of a person. This discipline postulates that all the measurements obtained in statics will have an impact on the dynamics. This study’s objective was to evaluate the kinanthropometric differences; Methods: The study was done in a population of 403 persons, aged between 18 and 42 years, who were categorized based on their biological sex and in what sport they usually practiced in a purely recreational way. Measurements and indices were obtained following the protocol of the International Society for the Advancement of Kinanthropometry (ISAK); Results: We observed significant differences in most of the values, for example, men use the presented higher values in relation to weight, height and size of some circumferences, in addition to Body Weight Index (BMI), Relative Index of the Lower Limbs (RILL), percentage of muscle weight (%M) and percentage of residual weight (%R). On the other hand, women presented higher values in most body folds, in addition to the Cormic Index (CI), Body Density Index (BDI), percentage of fat weight (%F) and percentage of bones weight (%B); Conclusions: This work could be useful for people to choose what kind of sport will be better for them according to their morphotype.
High-Resolution Early Warning Systems Using DL: Part II - Combining FourCastNet and E-TEPS for High-Resolution Climate Forecasting
Authors: Shafei Afshin , Cioffi Francesco
Published: August 2024

Extreme weather events, such as heat waves and heavy precipitation, are becoming increasingly frequent due to climate change, necessitating the development of effective early warning systems (EWS) to mitigate their impacts. This study introduces an advanced EWS designed specifically for Italy, which integrates the FourCastNet global forecasting model with Elevation-integrated TEmperature and Precipitation SRGAN downscaling (E-TEPS) to enhance the spatial resolution and accuracy of climate predictions. Building on previous work that demonstrated E-TEPS's effectiveness in downscaling temperature and total precipitation variables, this research applies the integrated system to two severe weather events in Central Italy: the Emilia-Romagna floods of 2023 and the Marche floods of 2022. The system's performance was evaluated using key metrics, including Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Pearson Correlation, by comparing downscaled outputs from FourCastNet and ERA5 datasets against high-resolution ground truth data from the Euro-Mediterranean Center on Climate Change (CMCC) dataset. The results indicate that the integrated system offers improved predictive accuracy, particularly in capturing critical climate variables, with the entire EWS delivering high-resolution forecasts and final outputs in under one minute. Although potential limitations were identified due to biases in the underlying datasets, which could affect forecast reliability in regions with complex topography or extreme weather conditions, this research highlights the potential of combining machine learning models with downscaling techniques to enhance EWS precision, providing valuable insights for future climate forecasting and disaster preparedness strategies.
Sensory Processing Challenges in Children with Neurodevelopmental Disorders and Genetic Conditions: An Observational Study
Authors: Rodríguez-Armendariz Ekaine , Vela-Romero María , Galiana Adrián
Published: August 2024

Sensory processing challenges are crucial yet often neglected aspects in the care of children with neurodevelopmental disorders and genetic conditions. They represent a key area of interest in neuroscience, as they significantly impact children's daily functioning and quality of life. This observational study examines the characteristics of these challenges in a group of 614 children, aged 3 to 14 years and 11 months, divided into three groups: 183 with neurodevelopmental disorders (Autism Spectrum Disorder, Attention Deficit Hyperactivity Disorder, developmental delays, learning disorders), 89 with genetic conditions (22q11.2 Deletion Syndrome, Williams Syndrome, Pseudohypoparathyroidism), and 342 controls. Sensory processing was assessed using the Sensory Profile 2 (SP2). Results indicated that children with neurodevelopmental disorders and genetic conditions exhibited significant sensory processing difficulties compared to controls. The SP2 identified sensory challenges across different sensory systems, with varying configurations depending on the diagnosis. Children with neurodevelopmental disorders and genetic conditions show marked sensory processing challenges impacting daily lives and well-being. These findings highlight the importance of early identification and tailored evidence-based interventions to address these specific sensory processing issues. Further research should explore the long-term impact of these interventions in these different populations and their integration into broader therapeutic programs.
Distortion Risk Measures of Increasing Rearrangements
Authors: Paulusch Joachim , Moser Thorsten , Sulima Anna
Published: August 2024

The increasing rearrangement is a rewarding instrument in financial risk management. In practice, risk must be managed in different perspectives. A common example is portfolio risk which often can be seen from at least two perspectives: market value and book value. Different perspectives that is different distributions can be coupled by increasing rearrangement. One distribution is regarded as underlying, and the other distribution can be expressed as increasing rearrangement of the underlying distribution. Then, the risk measure for the latter can be expressed in terms of the underlying distribution. Our first objective is to introduce the increasing rearrangement for application in financial risk management and apply the increasing rearrangement to the class of distortion risk measures. We derive formulas to compute risk measures in terms of the underlying distribution. Afterwards, we apply our results to a series of special distortion risk measures, namely Value at Risk, Expected Shortfall, Range Value at Risk, Conditional Value at Risk, Wang's risk measure. Finally, we present the connection of increasing rearrangement to inverse transform sampling, Monte Carlo simulation, and cost-efficient strategies. Butterfly options serve as illustrative example for the method.
Artificial Sweetener and the Risk of Adverse Pregnancy Outcomes: a Mendelian Randomization Study
Authors: Mao Di , Lin Mingmei , Zeng Zhonghong , Mo Dan , Hu Kailun , Li Rong
Published: August 2024

Background: The relationship between the intake of artificial sweetener (AS) and adverse pregnancy outcomes is under-researched, and existing studies yield inconsistent conclusions. Methods/Objectives: A mendelian randomization (MR) approach was employed to investigate the causal relationship between the intake of AS and adverse pregnancy outcomes. Instrumental variables related to the exposure phenotype were selected for analysis. The analysis was conducted using genome-wide association studies summary data from public datasets. Inverse variance weighted, MR-Egger, weighted median, simple mode, and weighted mode were used to evaluate the causal relationship between exposure and outcomes. Sensitivity analysis and multivariable mendelian randomization enrolling body mass index, type 2 diabetes mellitus and fasting glucose was employed to further validate the consistency and robustness of results. Results: The intake of AS added to tea was associated with an increased risk of ectopic pregnancy [OR=1.821 (1.118 - 2.967), p=0.016] in univariable MR. The intake of AS added to cereal was linked to a reduced risk of ectopic pregnancy [OR=0.361 (0.145 - 0.895), p=0.028] and premature rupture of membranes [OR=0.116 (0.019 - 0.704), p=0.019], while the intake of artificial sweetener added to coffee was associated with an increased risk of placenta previa [OR=1.617 (1.042 - 2.510), p=0.032] adjusting for body mass index and type 2 diabetes mellitus in multivariable MR. No causal relationship was identified between the intake of artificial sweetener and the other adverse pregnancy outcomes. Conclusions: The consumption of artificial sweeteners during pregnancy warrants careful consideration.
SCMtalk: IoT-Based Scientific Chinese Medicine Pharmacy
Authors: Huang Hsing-Hsin , Lin Yi-Bing
Published: August 2024

Traditional Chinese medicine requires decoction and consumption, which is time-consuming and labor-intensive. Scientific Chinese medicine (SCM), on the other hand, uses concentrated granules that can be taken with hot water, making it widely welcomed. With the widespread adoption of SCM, the packaging technology has started to receive attention. Whether it is manpower allocation, operation time, or the uniformity and residue of the medicine powder, these factors can become bottlenecks in the process. A traditional SCM pharmacy machine is purely mechanically hardwired. This paper proposes SCMtalk, an Internet of Things (IoT)-based SCM mechanism designed to enhance the efficiency and accuracy of SCM medicine packets generation. We show how SCMtalk develops IoT hardware and software modules for medicine selection, mixing, dispensing, packaging, and cleaning. We also explain how the mechanical IoT hardware is integrated with the corresponding software module to become an individual IoT device. These IoT devices can be transparently replaced, allowing us to easily upgrade the individual components of the SCM packet generation through the IoT concept. Finally, we address quality control issues by leveraging IoT. One contribution of this paper is to introduce an interesting SCM application to IoT experts and to demonstrate how we collaborated with pharmacists and mechanical experts to use a powerful IoT platform to create a smart pharmacy.
In Silico Evaluation of Ten Monoclonal Antibodies Neutralization Power of SARS-CoV-2 Variants EG.5, BA.2.86 and JN.1
Authors: Ashoor Dana N.
Published: August 2024

The current globally dominant SARS-CoV-2 variants are showing immune escape and reduced susceptibility to antiviral drugs. Therefore, agencies responsible for drug evaluation and regulation such as the FDA and EMA are revising their emergency authorization use of several COVID-19 neutralizing antibodies. These MAbs proved to be unlikely effective against new variants especially Omicron descendants and several pharmaceutical companies are pursuing the development of more potent neutralizing antibodies. To address this issue, we used In Silico method we previously developed to assess 10 anti-SARS-CoV-2 antibodies propensity to neutralize the new Omicron’s subvariants EG.5, BA.2.86 and JN.1, based on comparative binding affinity of 3D generated models and previous experimental and clinical observations. Nine of these MAbs were once granted emergency use authorization, and one is currently under clinical investigation. The results showed that one antibody showed a marked increase of the binding energy for EG.5 compared to two antibodies that showed a significant increase with Pirola (BA.2.86) and JN.1. This data indicates that the new SARS-CoV-2 variant escapes neutralization of most of the available therapeutic NAbs. Furthermore, the data showed new potential therapeutic MAbs combination that could be effective for the treatment countermeasure of the new Omicron’s descendants or potential novel variants.
The Influence of Organisational and Management Factors on Effective Sport Service Delivery in Ethiopian Sport Governing Bodies
Authors: Sentie Wasihun , Fadoju Andrew Olu , Kebede Dagnachew Nigeru
Published: August 2024

There is an observed general low performance of Ethiopian Sport Governing Bodies (SGBs) in service delivery. Evidence shows that the trend can be corrected with proper understanding and insight into the process of organisational and management factors of these SGBs. This study aimed to investigate the contribution of organisational and management factors on effective sport service delivery in SGBs. For this study, a cross-sectional research design was employed. Purposive sampling was used to choose 350 samples. Pearson Product Moment Correlation Coefficient and multiple regression were used to analyse the data at the 0.05 significant level. The findings confirmed that organisational and management factor variables had a significant positive relationship with sport service delivery (organisational structure (r=0.515), organisational capabilities (r=0.701), communication (r=0.549), management practice (r=0.571), materials & resources (r=0.527) and stakeholders satisfaction (r=0.742). In addition, Management factors were found to be significant contributors for predicting effective sport service delivery (F(3, 329)= 165.868, R2= 0.612). Furthermore, organisational factors had a joint significant contribution to effective sport service delivery (F(3, 329) = 148.743, R2= 0.576). In addition, organisational and management factor variables jointly best predicted effective sport service delivery in Ethiopian SGBs (F(6, 326) =130.81, R2= 0.707). Therefore, this study suggests organisational and management factor variables can be used to predict effective sport service delivery.
Crystal Growth of LiNa5Mo9O30 Crystals of High Optical Quality
Authors: Khokhlov Nikolai , Grishchenko Ivan , Shevelkina Ekaterina , Bindyug Denis , Barkanova Ekaterina , Denisov Dmitry , Demushkin Dmitry , Telegen Ivan , Yezhikova Ekaterina , Avetissov Igor , Avetisov Roman , Konyashkin Alexey , Ryabushkin Oleg
Published: August 2024

The bulk LiNa5Mo9O30 (LNM) crystals were successfully grown in the [010] and [001] directions without internal inclusions and cracks by the Czochralskii method with low temperature gradient. The crystal grown in the [010] direction showed a tendency to twinning. The crystal grown in the [001] direction demonstrated high structural perfection (FWHM=13'') for the (001) plane and high optical quality Δn≈210-5. The laser induced damage threshold was measured along a, b and c axes and was 15.7, 27.0 and 27.5 J/cm2 respectively. The thermo-optical coefficient dn/dT was measured for the main crystallographic axes, which was -5.7510-6, -2.0210-5 and 3.6510-6 K-1 along the a, b and c axes, respectively. The second harmonic generation (SHG) is conducted in crystalline LNM sample. The maximum efficiency value of 3.5% at pump power of 12 W had been achieved.
A Review of Molecular Dynamics Simulation of Different Ti-Al Based Alloys
Authors: Li Ningning , Hao Zhenjie , Xu Lei , Tang Mingqi , Wei Leyu , Li Shuai , Wang Lifei
Published: August 2024

Ti-Al based alloys, particularly TiAl and Ti3Al two-phase alloys, have garnered significant attention as potential replacements for various high-temperature structural materials due to their exceptional properties, including low density, oxidation resistance, and high strength at elevated temperatures. Despite these advantages, experimental studies on the microstructure evolution of Ti-Al based alloys under complex conditions remain challenging to observe and characterize. This review article examines the current research on molecular dynamics (MD) simulations of Ti-Al based alloys, focusing on two-phase Ti-Al alloys, Ti-Al amorphous alloys, Ti-Al composite materials, and the welding and multi-layer/film applications of Ti-Al alloys. The review highlights the unique capabilities of MD simulations in predicting the behavior of Ti-Al based alloys and addresses existing scientific challenges. Furthermore, the article discusses future research directions and development prospects in this field.
THE INFLUENCE OF TRANSPARENCY, FINANCIAL LITERACY, AND DIGITAL MARKETING ON THE GOALS OF THE KAMPUNG DOLANAN ORGANIZATION WITH THE CONCEPT OF SOCIOPRENEURSHIP
Authors: Ariq Fikria  , Haya Aulia Assidiq
Published: August 2024

This study aims to analyze the influence of financial transparency, citizens' financial literacy, and digital marketing in realizing the organizational goals of Kampung Dolanan as a social-based business or sociopreneurship. This research focuses on the application of managerial practices in Dolanan Village and its influence on the welfare of residents. This study uses a qualitative approach, by means of interviews with the parties concerned to obtain information about the management of Dolanan Village which will later be processed and analyzed qualitatively to achieve clarity of research results. The results of the study show that transparency has not been carried out by the management team of Dolanan Village. Transparency affects organizational goals that have not been achieved because residents have not been able to fully supervise the management and achievement of organizational goals. The financial literacy of Karanggeneng residents is still low, illustrated by the fact that residents do not understand family financial management. Low financial literacy affects organizational goals because citizens do not know the truth of correct financial management. Digital marketing has not been done properly due to a lack of capable human resources. The lack of maximum digital marketing has affected the organization's goals which cannot attract tourists to come to Dolanan Village.
Dspace implementation of real-time selective harmonics elimination technique using modified carrier on three phase inverter
Authors: Djafer L. , Taleb R. , Mehedi F.
Published: August 2024

Introduction. In the contemporary world, alternative electrical energy has become an integral part of our daily existence, with the majority of our electrical materials, electronic devices, and industrial equipment relying on this energy source. Consequently, ensuring the quality of the electrical signal obtained is of paramount importance in the process of converting and distributing electrical energy. The improvement of the output voltage inverter can be achieved through adjustments to the inverter structure or by refining the control strategy. The novelty of the presented research lies in an innovative approach that employs real-time modulation for efficient control over the reduction of harmonics, alongside managing the fundamental component. This approach is applicable to both bipolar and unipolar configurations, featuring quarter-wave and half-wave symmetries. Purpose. Employing this modulation strategy aims to enhance the durability of the switching components and enhance the voltage output of the inverter. Methods. The methodology is founded on a sine-sine modulation as its foundational model. It constitutes an inventive pulse width modulation technique in which a reference sinusoidal waveform, operating at the desired signal frequency, is compared to a modified carrier signal with an identical time period as the reference signal. Results. This paper introduces a broader and more comprehensive approach, alongside specific solutions, for the control and mitigation of harmonics in three phase voltage source inverters. The proposed method offers precise control over the reduction of harmonics and the fundamental component, and it can be implemented in extensive power electronic converters. Practical value. To assess the effectiveness of the given control approach, we conducted simulations as well as real-time implementation employing Dspace DS1104 controller board. The outcomes were highly favorable, confirming the effectiveness and validity of the suggested control algorithm. References 15, tables 4, figures 7.
Wild horse optimization algorithm implementation in 7-level packed U-cell multilevel inverter to mitigate total harmonic distortion
Authors: Ebrahimi F. , Wndarko N. A. , Gunawan A. I.
Published: August 2024

Introduction. Multilevel inverters (MLIs) are a popular industrial and, more especially, renewable energy application solution. This is because of its appetite for filters, low distortion class, and capacity to provide a multilayer output voltage that resembles a pure sine waveform. The novelty is in applying the wild horse optimization algorithm (WHOA) to adjust the sinusoidal pulse width modulation (SPWM) technique by producing the optimal reference signal parameters in a new multilevel inverter architecture known as the packed U-cell multilevel inverter (PUC-MLI). Purpose. This study helps with the idea of new inverter architecture and a modified pulse width modulation (MPWM) method to make the multilevel inverter smaller, cheaper, and with less total harmonic distortion (THD). Methods. We use the proposed approach to control a 7-level, single-phase PUC-MLI. The WHOA is used to discover the optimal parameters of the additional reference sine signal after being compared with SPWM to evaluate its performance in harmonic reduction. The simulation’s outcome was validated by building a PUC-MLI prototype. Results. Experimental results and simulations validate the effectiveness of the suggested approach. The WHOA-improved MPWM approach achieves a significant reduction in THD on the PUC-MLI output voltage, as indicated by the results. Practical value. THD in MLI output voltage will be reduced without spending any cost. The suggested solution works with many MLI topologies with varying output voltage levels. References 20, tables 6, figures 12.