bluuebunny/crossref_metadata_2025 huggingface dataset:
Use of Modeling & Simulation and AI for Collaborative Framework: SMEs Supply Chain Disruptions
Authors: Revetria Roberto , Damiani Lorenzo , Rozhok Anastasiia , Ahmad Khursheed
Published: September 2024

Supply chain interruptions impact all sizes of organizations, but small and medium-sized enterprises (SMEs) are particularly susceptible since they have fewer resources and less negotiating leverage than larger corporations. Environmental disruptions such as climate change, resource scarcity, and natural disasters lead to operational delays, higher costs, and revenue loss. SMEs can mitigate these disruptions by collaborating with their supply chain partners. This study presents a framework for how modeling simulation and artificial intelligence can aid in collaboration to support SMEs in mitigating the operational impacts of environmental supply chain disruptions. It indicates that partnerships can assist SMEs in creating contingency plans, sharing resources, and building resilience. It identifies key benefits of collaboration for SMEs and different strategies that SMEs can use to mitigate the disruptions due to environmental issues. The paper concludes by calling for more research on developing a decision-making framework to overcome collaboration barriers faced by SMEs.
Attention-Based Multi-Scale, Context-Aware Feature Integration into PoseResNet for Coordinate Classification in 2D HPE
Authors: Zakir Ali , Salman Sartaj Ahmed , Benitez-Garcia Gibran , Takahashi Hiroki
Published: September 2024

Human Pose Estimation (HPE) is a critical Computer Vision task with applications ranging from video surveillance to medical rehabilitation. Despite recent advancements in Deep Learning, HPE still faces challenges such as occluded keypoints, variable lighting conditions, and high computational demands. To address these issues, we present the Attention-Based Multi-Scale, Context-Aware Feature Integration into PoseResNet for Coordinate Classification (AMSF-PRNetCC). Our framework enhances the traditional ResNet architecture by incorporating CoordConv2d layers, depthwise separable convolutions, and novel attention mechanisms including Spatial-Enhanced Channel Attention (SECA) and Squeeze-and-Excitation (SE). We introduce a Context-Aware Feature Pyramid Network (CAFPN) with Dual Mask Global Context Blocks (DMGCB) to efficiently handle multi-scale information. The model culminates in Multi-Layer Perceptron (MLP) stages for precise keypoint coordinate classification. Evaluations on the COCO dataset demonstrate that AMSF-PRNetCC significantly outperforms existing 2D HPE methods in both accuracy and computational efficiency. Our approach achieves state-of-the-art results while requiring fewer computational resources, marking a substantial advancement in the field of HPE.
Image Splicing Detection Based on a Dual Branch Neural Network
Authors: Ramirez-Rodriguez Ana Elena , Arevalo-Ancona Rodrigo Eduardo , Perez-Meana Hector , Nakano-Miyatake Mariko , Cedillo-Hernandez Manuel
Published: September 2024

In the last decade, the development and accessibility of image editing software have significantly increased, with many open-access tools available online. In this context, image-splicing attacks have gained popularity for their ability to manipulate images effectively. Consequently, there is a need to develop technologies capable of detecting splicing attacks using artificial intelligence systems. This paper introduces a method based on neural networks that identifies unique image features for detecting and localizing splicing manipulations by comparing the extracted features. The proposed approach used a neural network model with two identical branches to extract and compare features from the original and tampered images. Subsequently, the detected manipulated regions are divided into smaller blocks, and eigenvalues associated with each region are computed and compared with those of the original image. This process enables more efficient splicing detection. Experimental results demonstrate the method’s effectiveness against various splicing attacks, achieving a precision and efficacy of 90%. This study offers an innovative system for detecting and locating splicing image forgeries supported by comprehensive experimental validation.
One-Class Classification Approach Using One-Class Classification Subtask
Authors: Hayashi Toshitaka , Cimr Dalibor , Cimler Richard
Published: September 2024

One-class classification (OCC) is a supervised classification problem where training data includes only one class. The goal is to classify data into one class or other classes. One of the solutions is a subtask-based approach; its idea is to use the error of an arbitrary subtask. This paper conceptualizes a novel subtask-based OCC approach using an OCC subtask (OCOCC), considered with a self-labeled dataset. The core hypothesis is that OCC subtask results for one class are better than those for other classes. The proposed framework allows a recursive process to provide endless OCC subtasks. Moreover, the OCOCC could create subtasks from all OCC algorithms, including state-of-the-art (SOTA). The OCOCC is experimented with image benchmark datasets, such as MNIST, Fashion MNIST, CIFAR10, and X-ray pneumonia. The OCC subtask is executed by applying existing OCC algorithms to a self-labeled dataset created by image rotations. The positive result is that OCOCC using OCAE subtask (OCOCAE) outperformed OCAE (OCC using autoencoder) in most datasets. Exploring the OCOCC framework is a promising direction for the future of OCC.
Multimodal Hand Gesture Recognition Using Automatic Depth and Optical Flow Estimation from RGB Videos
Authors: Benitez-Garcia Gibran , Takahashi Hiroki
Published: September 2024

Traditional Hand Gesture Recognition (HGR) approaches often rely on multiple sensors, such as RGB, depth, and infrared cameras, to capture comprehensive multimodal data. However, this increases hardware complexity and costs, limiting the widespread adoption of HGR systems. In this paper, we propose a Multi-modal HGR approach that leverages automatic depth estimation from RGB videos to enhance HGR performance while using only a single RGB camera. Our method integrates synthetic depth features, optical flow (OF), and RGB data through an early fusion strategy. We conduct extensive experiments using three ConvNet-based models for HGR: the 3D-CNN variants of ResNet and ResNeXt, as well as the efficient 2D-CNN-based Temporal Shift Module (TSM). Our findings indicate that the multimodal input combination of synthetic Depth, OF, and RGB modalities results in superior performance compared to models using solely RGB or RGB+OF inputs, with the ResNeXt-101 model exhibiting the highest accuracy. To validate our approach, we employ the IPN Hand dataset, which we have meticulously refined to correct temporal annotation inconsistencies and increased the number of gesture classes from 13 to 14 by separating the similar dynamics of four specific gestures. Furthermore, we compute high-quality OF and depth maps for all 800,000 frames in the dataset. The enhanced and multimodal data of the IPN Hand dataset will be soon available at github.com/GibranBenitez/IPN-hand.
The E-leadership transformation in corporate environment: A bibliometric study
Authors: Alawamleh Hasan Khaled , Alkayed Ibrahim Yousef , Albdour Ahmad Wasfi Mohammad , Shatnawi Hisham Ali
Published: September 2024

BACKGROUND: This study delves into the academic literature regarding the significance of e-leadership transformation within corporate environments. OBJECTIVE: The primary objective is to analyze and synthesize existing research on e-leadership transformation, identifying key trends, contributors, and thematic clusters. The study aims to provide a comprehensive understanding of the processes and impacts associated with e-leadership, as well as highlight areas for future research. METHODS: We used a dual-method approach incorporating bibliometric analysis as a part of the Systematic Literature Review (SLR) to examine 269 journal articles published between 2010 and 2024, with a focus on the period from 2019 onwards. RESULTS: The analysis identifies significant trends, influential articles, top journals, authors, and leading countries in the field. We identify thematic clusters such as digital leadership and strategic transformation, organisational communication and performance frameworks, behavioural dynamics, and transformational leadership strategies. IMPLICATIONS: Insights from this study offer a deeper understanding of e-leadership transformation’s relevance in corporate settings, highlighting future research prospects and avenues for further exploration in this dynamic and evolving field.
Advancing Parkinson’s Disease Research in Canada: The Canadian Open Parkinson Network (C-OPN) Cohort
Authors: Cressatti Marisa , Pinilla-Monsalve Gabriel D. , Blais Mathieu , Normandeau Catherine P. , Degroot Clotilde , Kathol Iris , Bogard Sarah , Bendas Anna , Camicioli Richard , Dupré Nicolas , Gan-Or Ziv , Grimes David A. , Kalia Lorraine V. , MacDonald Penny A. , McKeown Martin J. , Martino Davide , Miyasaki Janis M. , Schlossmacher Michael G. , Stoessl A. Jon , Strafella Antonio P. , Fon Edward A. , Monchi Oury
Published: September 2024

Background:

Enhancing the interactions between study participants, clinicians, and investigators is imperative for advancing Parkinson’s disease (PD) research. The Canadian Open Parkinson Network (C-OPN) stands as a nationwide endeavor, connecting the PD community with ten accredited universities and movement disorders research centers spanning, at the time of this analysis, British Columbia, Alberta, Ontario, and Quebec.

Objective:

Our aim is to showcase C-OPN as a paradigm for bolstering national collaboration to accelerate PD research and to provide an initial overview of already collected data sets.

Methods:

The C-OPN database comprises de-identified data concerning demographics, symptoms and signs, treatment approaches, and standardized assessments. Additionally, it collects venous blood-derived biomaterials, such as for analyses of DNA, peripheral blood mononuclear cells (PBMC), and serum. Accessible to researchers, C-OPN resources are available through web-based data management systems for multi-center studies, including REDCap.

Results:

As of November 2023, the C-OPN had enrolled 1,505 PD participants. The male-to-female ratio was 1.77:1, with 83% ( n = 1098) residing in urban areas and 82% ( n = 1084) having pursued post-secondary education. The average age at diagnosis was 60.2±10.3 years. Herein, our analysis of the C-OPN PD cohort encompasses environmental factors, motor and non-motor symptoms, disease management, and regional differences among provinces. As of April 2024, 32 research projects have utilized C-OPN resources.

Conclusions:

C-OPN represents a national platform promoting multidisciplinary and multisite research that focuses on PD to promote innovation, exploration of care models, and collaboration among Canadian scientists.
Taxonomy framework for multiple-attribute decision-making with neutrosophic sets: ESP courses teaching effectiveness case
Authors: Yao Yao , Shen Baohua
Published: September 2024

The mixed online and offline mode is a new teaching mode that is gradually mature and developed based on information technology. Applying this model to English teaching will help teachers get rid of the shackles of traditional models, reconstruct teaching, and improve the flexibility and effectiveness of teaching activities. Analyze the connotation and main characteristics of the mixed online and offline mode, understand students’ English abilities and future development needs, formulate scientific teaching measures that combine online and offline, innovate and optimize teaching activities, create a good learning atmosphere for students, and thereby improve the quality of English teaching. The blended teaching effectiveness evaluation of ESP courses in universities in an output-oriented perspective is viewed as the multiple-attribute decision-making (MADM). In this paper, Taxonomy technique is designed for MADM under interval-valued neutrosophic sets (IVNSs). Then, the interval-valued neutrosophic numbers Taxonomy (IVNN-Taxonomy) technique is formed to cope with MADM problem. Finally, a numerical example for blended teaching effectiveness evaluation of ESP courses in universities in an output-oriented perspective is given to demonstrate the IVNN-Taxonomy technique. The main contribution of this study is: (1) the Taxonomy technique is extended to IVNSs; (2) the entropy technique is employed to implement the weight values based on combined distances; (3) the IVNN-Taxonomy technique is managed to put up with the MADM under IVNSs. (4) a numerical example for blended teaching effectiveness evaluation of ESP courses in universities in an output-oriented perspective has been given. (5) some comparative algorithms are given to show the rationality of IVNN-Taxonomy technique.
Recognizing facially expressed emotions in videos of people with visual impairments in online settings
Authors: Kim Hyung Nam
Published: September 2024

BACKGROUND

Facial expressions are critical for conveying emotions and facilitating social interaction. Yet, little is known about how accurately sighted individuals recognize emotions facially expressed by people with visual impairments in online communication settings.

OBJECTIVE

This study aimed to investigate sighted individuals’ ability to understand facial expressions of six basic emotions in people with visual impairments during Zoom calls. It also aimed to examine whether education on facial expressions specific to people with visual impairments would improve emotion recognition accuracy.

METHODS

Sighted participants viewed video clips of individuals with visual impairments displaying facial expressions. They then identified the emotions displayed. Next, they received an educational session on facial expressions specific to people with visual impairments, addressing unique characteristics and potential misinterpretations. After education, participants viewed another set of video clips and again identified the emotions displayed.

RESULTS

Before education, participants frequently misidentified emotions. After education, their accuracy in recognizing emotions improved significantly.

CONCLUSIONS

This study provides evidence that education on facial expressions of people with visual impairments can significantly enhance sighted individuals’ ability to accurately recognize emotions in online settings. This improved accuracy has the potential to foster more inclusive and effective online interactions between people with and without visual disabilities.
Effect of pelvic floor muscle exercise combined with infrared physiotherapy on postpartum urinary incontinence
Authors: Li Chunbo , Li Kejun
Published: September 2024

BACKGROUND:

Scientific treatments for postpartum urinary incontinence, including pelvic floor muscle exercises (such as Kegel exercises) and infrared therapy, can effectively improve pelvic floor and urethral function, thus enhancing quality of life. However, clinical research on the combined use of these interventions for postpartum urinary incontinence is limited.

OBJECTIVE:

To investigate the combining efficacy of pelvic floor muscle exercises with infrared physiotherapy on postpartum urinary incontinence.

METHODS:

Clinical information of 102 patients with postpartum urinary incontinence (June 2021–June 2022) were collected and analyzed. Patients were randomly divided into control (conventional intervention) and observation (pelvic floor muscle exercises combined with infrared physiotherapy) groups, with 52 and 50 cases respectively. We compared pelvic floor muscle strength, urodynamic indicators, leakage volume, quality of life, and overall clinical efficacy between the two groups.

RESULTS:

Before intervention, both groups had similar pelvic floor function scores and urodynamic indicators. Post-intervention, the pelvic floor function scores in the observation group were significantly lower than control. The urodynamic indicator levels of the observation group were markedly higher than control after 2 months of intervention. Leakage volume was similar before intervention, while the observation group had significantly lower volumes after 1 and 2 months of intervention. Quality of life scores were similar initially, but after 2 months, the observation group scored higher. The observation group showed notably better pelvic floor rehabilitation at 2 months post-intervention.

CONCLUSION:

Combining pelvic floor muscle exercise with infrared physiotherapy has been shown to be a highly effective approach in enhancing pelvic floor muscle strength and improving the quality of life for postpartum women experiencing urinary incontinence. This combined therapy also demonstrates positive effects on urodynamic indicators, reducing leakage volume, and facilitating pelvic floor rehabilitation.
Molecular characterization, immunocorrelation analysis, WGCNA analysis and machine learning modeling of genes associated with copper death subtypes of laryngeal cancer
Authors: Du Huihui , Zhu Kaiquan
Published: September 2024

BACKGROUND: Laryngeal cancer is a malignant tumor that originates from the mucous membrane of the larynx. Currently, the specific involvement mechanism of copper death in laryngeal cancer patients has not been deeply studied. OBJECTIVE: This study aims to explore the molecular characteristics and clinical survival significance of copper death-related genes in laryngeal cancer. METHODS: Relevant transcriptomes and clinical data were retrieved and downloaded from the GEO database. Differential expression genes related to laryngeal cancer and copper death were selected, and the immune function, clinical risk correlation, and survival prognosis were analyzed. RESULTS: The differential analysis results showed that the differential expression genes related to laryngeal cancer and Cu-proptosis included SLC31A1 and ATP7B, and there was interaction between the immune cell groups in the differential genes of copper death in laryngeal cancer. Decreasing the expression of the gene ANXA5 or increasing the expression of the gene SERPINH1 can increase the susceptibility to laryngeal cancer. CONCLUSION: Copper death-related genes can affect the survival prognosis of laryngeal cancer patients. Detection of changes in their expression can provide new diagnostic and treatment directions for the progression of early-stage laryngeal cancer.
Effect of patient position on the EEG bispectral index and entropy index under general anaesthesia
Authors: Chen Wending , Wang Jialin , Wang Luyang , Hu Wenwen , Chen Xinzhong , Jin Lin
Published: September 2024

BACKGROUND:

Perioperative depth monitoring techniques, such as electroencephalography bispectral index (BIS), entropy index, and auditory evoked potential, are commonly used to assess anesthesia depth. However, the influence of patient positioning changes, particularly in gynecological surgeries where a head-down position is often required, on the accuracy of these monitoring indices remains unexplored.

OBJECTIVE:

The aim of the our study was to observe the impact of patient position changes on the monitoring value of entropy and BIS to identify a more sensitive method of anaesthesia depth monitoring for gynaecological surgery patients.

METHODS:

We conducted a study involving 40 women undergoing general anesthesia, during which routine monitoring of vital signs, including electrocardiogram (ECG), heart rate (HR), noninvasive arterial blood pressure (NIBP), oxyhemoglobin saturation (SpO2), and end-expiratory carbon dioxide (PetCO2), was initiated. Entropy and BIS devices were affixed to the patients’ foreheads after alcohol sterilization to record brain activity. Tracheal intubation was performed following anesthesia induction. Throughout anesthesia maintenance, the value of BIS and response entropy (RE) were monitored and maintained between 40 and 50 by adjusting the infusion rate of propofol and remifentanil with Target Controlled Infusion (TCI, Mintopharmacokinetics model). Dosing for infusion control utilized corrected weight (height-105). Data were recorded before and after position changes, including tilting the operating table to head-down positions of 15 and 25 degrees, returning to a supine position, and elevating the head to 15 and 25-degree angles. BIS and entropy values at different time points were compared between the groups.

RESULTS:

Both BIS and entropy values increased from supine to head-down position and decreased from supine to head-up position, with entropy changes preceding those of BIS. Heart rate increased after head-up and decreased after head-down, while mean blood pressure (MBP) exhibited the opposite effect on heart rate. Significant correlations were found between heart rate and BIS (correlation coefficient: [Formula: see text]0.43) and RE (correlation coefficient: [Formula: see text]0.416), as well as between MBP and BIS (correlation coefficient: 0.346) and RE (correlation coefficient: 0.384).

CONCLUSION:

Changes in patient position can significantly affect the value of RE and BIS, as changes in entropy occur earlier than changes in the BIS.
Modern approaches to the treatment of idiopathic epiretinal membrane
Authors:   Pirogov National Medical and Surgical Center, Moscow, Russian Federation, Bogdanova V.A. , Fayzrakhmanov R.R. ,   Pirogov National Medical and Surgical Center, Moscow, Russian Federation, Pavlovskiy O.A. ,   Pirogov National Medical and Surgical Center, Moscow, Russian Federation, Bosov E.D. ,   Pirogov National Medical and Surgical Center, Moscow, Russian Federation
Published: September 2024

Epiretinal membrane (ERM) is one of the most prevalent ocular pathologies. ERM has been observed in cases of uveitis, retinal detachment, and diabetic retinopathy. In some cases, however, the underlying cause cannot be determined, and the condition is classified as idiopathic. The severity of the course of ERM varies considerably, from asymptomatic to severe vision loss and metamorphopsia. The classification is based on three factors: the density of the fibrous tissue, the severity of the retinal lesions, and the associated biomicroscopic signs. The aim of this article is to review the current approaches to the management of idiopathic ERM. Currently, surgery is the only universally accepted treatment for idiopathic ERM. However, there are a number of peculiarities of surgery that significantly affect the final outcome and further prognosis. In particular, patients often have unsatisfactory postoperative recovery of visual function, which requires revision of the strategy of minimally invasive interventions and refinement depending on the pathomorphology and structural features of the retina. KEYWORDS: epiretinal membrane, internal limiting membrane, membrane peel, retina, vitreoretinal surgery, minimally invasive interventions. FOR CITATION: Bogdanova V.A., Fayzrakhmanov R.R., Pavlovskiy O.A., Bosov E.D. Modern approaches to the treatment of idiopathic epiretinal membrane. Russian Journal of Clinical Ophthalmology. 2024;24(3):133–137 (in Russ.). DOI: 10.32364/2311-7729-2024- 24-3-6.
Application of whole genome sequencing to assess the relatedness of Salmonella Enteritidis strains isolated in the Silesian Voivodeship
Authors: Rozwadowska Beata Irena , Albertyńska Marta , Hudzik Grzegorz
Published: September 2024

Background

Gram-negative Salmonella bacilli are one of the most common bacterial causes of gastrointestinal infections. Well-selected and targeted microbiological diagnostics enable the detection and identification of the etiological agent of infection, however, standardized, routine and recommended methods do not always allow for the identification of the biological agent in an unambiguous manner. Next-generation sequencing has become an ideal tool for identifying microorganisms and tracking infection transmission in outbreaks for epidemiological purposes.

Objective

The aim of the study was to assess the genomic relatedness of Salmonella Enteritidis strains using whole genome sequencing in the foodborne outbreak in August-September 2023 in the Silesian Voivodeship.

Material and methods

The research material consisted of 11 strains of S. Enteritidis for which whole genome sequencing was performed using Illumina technology and the relationship between serotypes was assessed using bioinformatics tools.

Results

The genomes of all S. Enteritidis isolates were assigned to HC2_53128, which may indicate a very close relationship between the strains.

Conclusions

Whole genome sequencing enabled the assessment of the genomic relatedness of S. Enteritidis strains in the foodborne outbreak in August-September 2023 in the Silesian Voivodeship.
Unlocking Financial Reliability: AIS Contributions to Financial Statement Quality in Indonesian Retail Context
Authors: Michael  , Widjaja William
Published: September 2024

This study examines the impact of Accounting Information Systems (AIS) on financial reporting quality in Indonesian retail firms while examining the moderating influence of internal control and user capability. Data from 110 employees in the accounting and finance departments of MSME-scale retail companies in Jakarta were analyzed using SEM-PLS. The findings underscore the significant role of AIS in enhancing financial reporting accuracy, timeliness, and completeness, thereby ensuring reliability and regulatory compliance. Moreover, internal control mechanisms were found to moderate AIS effects, safeguarding assets and enhancing operational efficiency within retail firms. Additionally, user capability emerged as a crucial moderator, influencing data interpretation and reporting timeliness. The study emphasizes the pivotal contribution of AIS to improving financial reporting quality in Indonesian retail contexts. Theoretical implications validate AIS's significance in financial reporting, while practical implications stress the importance of effective AIS implementation for retail firms. Future research avenues could explore additional factors impacting reporting quality and conduct cross-sector studies on AIS effects for a comprehensive understanding.
Сложные технологии и простые материалы: создаем шахматы своими руками
Authors: Давлатов Ш.
Published: September 2024

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Estudio de factibilidad de la implementación de un sistema de producción lechero en 10 hectáreas sector Mata Redonda provincia del Carchi
Authors: Rivera Chamorro Amilcar Alexis , Urgilés Urgilés Gladys Primavera
Published: September 2024

Dairy production systems play a fundamental role in the agricultural industry. These systems not only focus on the production of dairy products, but also address critical issues related to environmental sustainability and economic stability. This study focuses on evaluating the viability of a self-sustainable dairy production system in the Mata Redonda sector of the province of Carchi. Surveys, interviews and statistical analyses were used, and the population studied is located in the rural municipality of Chitán de Navarretes. The results show that self sustainable dairy production systems can effectively address the environmental, social and economic challenges associated with traditional dairy production. They also promote fair labor practices and contribute to local economic development. The 5-year financial analysis showed encouraging results. Using a discount rate of 5%, the Net Present Value (NPV) is estimated to be $8,311.27, representing the profit after initial investment and financing costs. The Internal Rate of Return (IRR) of 10.2% indicates that the project will break even and start generating profits in 3 years. The Return on Investment (ROI) of approximately 22.45% indicates a potentially profitable investment. In summary, this study highlights the feasibility of implementing a selfsustainable dairy production system in the Carchi region. The results support the adoption of more sustainable approaches in the dairy industry and provide practical guidance to promote sustainable dairy production.
La educación ecuatoriana y su relación en el desarrollo económico enfocado en la pobreza y la desigualdad
Authors: Andrade Palacios Julio Cesar Andrade Palacios , Andrade Palacios Esteban Wladimir , Chandi Yépez Alonso Javier
Published: September 2024

In recent years, due to the incorrect distribution of resources that arose from political decisions made around Ecuador, an incongruent decrease in the relationship between economic development and education has been observed based on the student context and available resources. The purpose of this study is to analyze the relationship between education and development focusing on the factors of poverty and inequality. Taking into consideration variables such as economic growth and public spending on citizens at the national level. This research is of a mixed longitudinal nature, since it was analyzed from a correlational, descriptive, statistical, documentary and observational point of view. Similarly, a database was created from INEC and the World Bank for retrospective analysis with a quantitative approach using Pearson's coefficient. In conclusion, it was possible to prove that there is a relationship between education and Ecuadorian economic development. However, the statistics showed that there is both a medium and a low relationship. This is due to the fact that education is not only the only factor involved in improving well-being, but there are also other more influential factors.
Genetic changes of lipid metabolism genes in wound-induced callus of Arabidopsis thaliana
Authors:   , Lim Debbie Xiu En
Published: September 2024

Plant lipid metabolism pathways have been extensively studied as increasing plant oil yields is one important goal among researchers. However, the gene expression pattern of lipid metabolism regulating pathways especially in wound-induced callus of Arabidopsis thaliana is still unknown. The use of artificial microRNA retinoblastoma-related (amiRBR) strain allowed for the study of reduced RBR expression effects on lipid accumulation. Although the lipid contents in hormone-induced callus were possibly lower than leaves in wild-type (WT) A. thaliana, wound-induced callus was used to eliminate genetic interferences. Lipid content comparisons on 7-, 14- and 21-day old leaf and callus showed possibly higher lipid content in WT callus, although amiRBR callus contained possibly higher lipid content than its leaves at Day 7. Lipid metabolism genes undergoing cell-fate changes were studied. The mRNA expression of the lipid catabolism genes, acyl-CoA oxidase 1 and 2 (ACX1, ACX2) and multifunctional protein 2 (MFP2) were not significantly different in WT from Day 7 to Day 21. Sugar-dependent 1 (SDP1) increased significantly from Day 7 to Day 21 in WT and 3-ketoacyl-CoA thiolase 2 (KAT2) increased significantly from Day 7 to Day 14. ACX1, ACX2, MFP2 and SDP1 reached expression levels of 2 across the time-points in amiRBR callus with ACX1 expression significantly lower at Day 14 in amiRBR compared to WT, suggesting that cell death induced by RBR knockdown may have a negative effect on the expression of these genes. KAT2 expression increased from a fold change of 2 to 12 (Day 7 to Day 21) in amiRBR callus, though the difference was not significant. Compared to WT, transcript levels of long-chain acyl-CoA synthetase 6 and 7 were not different in amiRBR. Surprisingly, expression of diacylglycerol acyltransferase 2 was kept below fold change of 2 for both WT and amiRBR across Day 7 to Day 21 hence overexpression assay was performed. Diacylglycerol acyltransferase 1 was up-regulated in WT for all the time-points. Transcript levels of lipid transport genes acyl-CoA binding domain protein 1 and 3 and comatose were fluctuating between 0.8 to 1.5 folds, with no detectable difference between WT and amiRBR. This suggested that transport genes activities were uninterrupted across strains. Target gene expression cassettes of MFP2 and KAT2 were constructed using clustered regularly interspaced short palindromic repeats associated protein 9 with the successful targeted deletion of these genes in WT and amiRBR A. thaliana through Agrobacterium tumefacien-mediated transfection producing insertion-deletion mutation. Transcript levels of MFP2 and KAT2 mutants of both WT and amiRBR plants were below 1-fold change, indicating suppression of gene activities.
Manufacture and Characterization of Polymer Concrete Using Duck Egg Shell Powder, Areca Nut Fiber, and Epoxy Resin
Authors: Sitorus Fauzi , Ramayana Sitorus Pane
Published: September 2024

This research investigates the optimal composition of polymer concrete and its effects on physical and mechanical properties. Variations in composition were tested using a mixture of sand and eggshell powder in a 2:1 ratio, combined with areca nut fiber at concentrations of 0%, 4%, 8%, 12%, and 16%, and epoxy resin at levels of 20%, 25%, and 30%. Polymer concrete specimens were molded using a hot press at 90°C for 20 minutes. The study found that the optimal physical properties were achieved with a density of 1.61 g/cm³, porosity of 7.55%, and water absorption of 6.75%. The minimum physical properties recorded were a density of 1.11 g/cm³, porosity of 0.95%, and water absorption of 0.62%. The highest values observed for mechanical properties were a flexural strength of 54.13 MPa, compressive strength of 29.20 MPa, and tensile strength of 13.92 MPa. Conversely, the lowest mechanical properties were a flexural strength of 32.95 MPa, compressive strength of 8.65 MPa, and tensile strength of 2.94 MPa. SEM-EDX analysis revealed the presence of cavities within the samples and uneven distribution of epoxy resin, indicating areas where the resin clumped. The physical and mechanical properties of the polymer concrete in this study conform to the SNI 03-0691-1996 standards.
Distance Measurement of Low Reflectance Objects Using Indirect Time of Flight LiDAR
Authors: Agitta Rianaris  , Nofriha Rahmayani Siregar  , Hari Pratomo  , Surip Kartolo  , Syahrul Humaidi  , Dwi Hanto
Published: September 2024

Remote sensing is a system that enables data collection without physical contact with the object or its environment. Light detection and Ranging (LiDAR) technology is increasingly important in various industries, particularly developing autonomous vehicles. In autonomous vehicle applications, LiDAR is expected to detect multiple objects from high and low reflectance to make it easy to recognize its surrounding area. We have designed a biaxial LiDAR range finder system based on indirect time of flight technology, which has been tested to measure the distance of an object with high reflectance. In this work, we employ the system to measure the distance of an object with low reflectance from High Impact PolySterene (HIPS). The results show that the systems can measure objects from HIPS up to 33 m, which is lower than when the system measures an object with high reflectance.
Utilization of Bluetooth Module As An Additional Security of Arduino-Based Motorized Vehicles
Authors: Kurnia Brahmana  , Theresia Megarani
Published: September 2024

The escalation in motorcycle ownership has paralleled a rise in theft incidents, challenging the efficacy of existing security measures. Despite the integration of standard security systems on motorcycles, the persistence of thefts underscores the need for innovative solutions. This study introduces a novel security device that leverages Bluetooth HC-05 technology and an ATmega328 microcontroller to address this issue. The proposed system transcends conventional security protocols by establishing a dynamic link between the motorcycle and its owner. An alarm is triggered when the distance between the paired Bluetooth devices exceeds a predefined threshold, signaling potential unauthorized movement. Moreover, the system is engineered to deactivate the motorcycle's ignition upon Bluetooth connectivity loss, immobilizing the engine and thwarting theft attempts. This advanced security mechanism enhances the protection of motorcycles by incorporating proximity-based alerts and automated engine shutdown features, offering a formidable deterrent against theft. The article delineates this security system's design, implementation, and potential impact, positioning it as a critical advancement in motorcycle anti-theft technology.
Analysis and Characterization of Graphene Oxide Derived from Oil Palm Empty Fruit Bunch Using X-Ray Diffraction
Authors: Zikri Noer  , Derrick Tan  , Mutiara Sani Harahap  , Muhammad Harsa  , Gantara Igemuri  , Silfana Merry Gresia Pasaribu
Published: September 2024

Indonesia has the ability to develop a good and cheap energy source due to its vast resources, such as palm oil. In 2021, the area of oil palm plantations in Indonesia would reach 14.68 million hectares, with palm oil mills becoming a main commodity. Palm oil manufacturing generates around 70% of solid waste from post-process materials such as tree trunks, leaves, shells, and empty palm bunches (OPEFB). The majority of solid waste produced goes unutilized. OPEFB can be used as a raw material in the production of graphene oxide. The goal of this study is to use OPEFB as a raw material for producing graphene oxide. The modified hummers technique is used to synthesize graphene oxide, in which activated carbon activated with KOH is evaluated using X-Ray Diffraction (XRD) before being reacted to produce graphene oxide. XRD analysis revealed that activated carbon from OPEFB with KOH activator exhibits amorphous peaks (2θ = 24.16o and 43.77o), similar to commercial activated carbon. XRD diffractograms at 2θ = 10.2o and 25.49o reveal a crystalline form of graphene oxide, indicating successful synthesis from OPEFB.
JUSTIFICATION OF MARKETING STRATEGY SIGNS, COMPONENTS, PRINCIPLES AND STRATEGIC ALTERNATIVES OF ITS IMPLEMENTATION BY AGRICULTURAL ENTERPRISES
Authors:   Dnipro State Agrarian and Economic University, Bahorka Mariia , Yakubenko Yuliia ,   Dnipro State Agrarian and Economic University, Aleksandrov Artem ,   Dnipro State Agrarian and Economic University
Published: September 2024

The article examines the peculiarities of the formation of a marketing strategy, substantiates its features, components, principles, and makes recommendations in the form of strategic alternatives for its effective implementation in modern conditions by agrarian enterprises. It was established that the characteristics and components of the marketing strategy should take into account the unique features of agricultural production, and the principles should be based on flexibility and adaptability, diversification of production, sustainability, innovative approaches, cooperation and cooperation. Strategic alternatives are offered that will help agricultural enterprises to implement marketing strategy in modern conditions. The creation of a general marketing strategy is a key element in the development of agrarian business. It contains a sequence of steps focused on market segments, the characteristics of these segments and a strategic approach that takes into account the needs of each segment. This process requires deep analysis and a responsible approach. Marketing strategy implementation involves the consistent execution of related strategies at the operational level, such as sales, advertising, and pricing. In today’s environment, enterprises are faced with the challenges of maintaining and increasing market share, as well as with the search for new markets and opportunities for expansion at the regional and international levels. The authors noted that the strategic approach in agribusiness is a synthesis of marketing and business strategies, which is crucial for achieving success in the agricultural sector. This strategy covers a wide range of business activities, starting from interaction with customers and ending with the formation of competitive price offers aimed at attracting new customers. Using marketing strategic advantages, agricultural producers can solve more global problems, in particular: strengthen their position in the market by increasing turnover; take the leadership position regarding product quality; monitor consumer requests for product range; create conditions for diversification of the enterprise’s activities; be flexible to quickly change the price policy; attract more customers; strengthen the resource potential.
MARKETING INITIATIVES TO SUPPORT THE PROFESSIONAL AND PERSONAL DEVELOPMENT OF PEOPLE WITH DISABILITIES
Authors:   Oles Honchar Dnipro National University, Makedon Viacheslav
Published: September 2024

The article examines the important role of marketing training and professional development programs in supporting the professional and personal development of people with special needs. Inclusive programs allow these people to acquire the necessary knowledge and skills, which contributes to their employment and professional growth. In addition, such programs help to change public attitudes towards people with special needs, eliminating stereotypes and prejudices. Internship and employment programs that allow people with special needs to gain practical work experience were identified as the leading form of support. Such programs often include mentoring, where experienced professionals help newcomers adapt to the work environment and develop the necessary skills. State and public organizations play a key role in supporting people with special needs by providing financial support, organizing specialized training centers and providing legal assistance. Marketing campaigns have been found to play an important role in changing public stereotypes about people with special needs, raising awareness and understanding of their problems. Using the media to spread information about the needs of people with special needs helps to change attitudes towards them. Innovative technologies open up new opportunities for learning, communication, professional development and social integration. Devices for alternative and augmentative communication, electronic Braille readers, digital hearing aids and implants, electronic prostheses and exoskeletons are examples of technologies that significantly improve the quality of life of people with special needs. For the effective implementation and dissemination of these technologies, close cooperation between business, non-governmental organizations and government structures is necessary. Business plays a key role in the development and commercialization of new technologies by investing in innovation, research and development. Thus, marketing programs and projects aimed at supporting the professional and personal development of people with special needs are of great importance for the creation of an inclusive and just society.
MANAGEMENT OF THE DEVELOPMENT OF DERIVATIVE CONTRACTS IN THE INSTITUTIONAL MECHANISM OF STOCK TRADING AS A MODEL OF THE ORGANIZED MARKET OF GOODS
Authors:   Vinnytsia National Agrarian University, Shpykuliak Oleksandr , Shelenko Diana ,   Vasyl Stefanyk Precarpathian National University, Semaniuk Ivan ,   Vasyl Stefanyk Precarpathian National University
Published: September 2024

It has been outlined that stock exchanges are the main organizers of securities trade in Ukraine, which provide a platform for buying and selling various financial instruments. The categorical set of the conceptual apparatus of diffusion of knowledge on the management of the development of derivative contracts in the institutional mechanism of exchange trading is defined. It has been proposed to define the characteristics of the institutional mechanism of exchange trading as a model of an organized market of goods in which the processes of managing the development of derivative contracts take place. It is highlighted that some securities have limited circulation, which means that they can be sold only to certain persons or organizations that issued them, and after that such securities are considered non-negotiable, since their sale is limited to a set period and conditions. It is noted that the model of the organized market of goods is mainly formed under the influence of productive leading sectors of the economy, regulation and supervision, infrastructure and market participants, financial instruments and the trade process. The rating of securities traders-members of JSC “PFTS Stock Exchange” for the period January-February 2023 and January 2024 is given. The system of concepts of the essence of the relevant category apparatus has been updated, which includes: management, development, trade, derivative, contract, financial instrument, institutional mechanism, exchange trade, exchange commodity, organized market, which are used to form knowledge about the content of the raised question. It has been proven that the organized market of goods is an orderly system that facilitates the efficient exchange of goods between sellers and buyers, and to create such a model, it is necessary to take into account the generalized key aspects. It has been justified that the effective conduct of economic activity is ensured by active stock exchange trading of goods, which allows setting parity prices for products and the material and technical resources necessary for their production.
ТРАНСФЕРТНЕ ЦІНОУТВОРЕННЯ У СИСТЕМІ ПРІОРИТЕТІВ ПОДАТКОВОЇ ПОЛІТИКИ
Authors: Пасічний Микола
Published: September 2024

Статтю присвячено проблематиці трансфертного ціноутворення в системі пріоритетів податкової політики. Розкрито суть трансфертного ціноутворення як механізму стратегічного управління діяльністю підприємства, детерміновано критерії, за якими господарські операції визнаються контрольованими. Окреслено задачі фіскальних інституцій із мінімізації можливостей уникнення оподаткування. Визначено основні порушення фіскальної дисципліни платниками податків. Обґрунтовано необхідність вдосконалення системи управління ризиками на підприємств та попереднього узгодження трансфертних цін для забезпечення транспарентності взаємодії платників із контролюючими інституціями. Визначено засади імплементації в Україні Плану BEPS. Наголошено на необхідності автоматизації обміну фінансовою інформацією. Проаналізовано дисципліну вітчизняних платників податків при здійсненні контрольованих операцій.
СТРАТЕГІЇ УПРАВЛІННЯ ПРОБЛЕМНИМИ КРЕДИТАМИ КОМЕРЦІЙНОГО БАНКУ
Authors: Слободянюк Наталя , Нестеренко Анна
Published: September 2024

Стаття присвячена обґрунтуванню ефективних стратегій управління проблемними кредитами комерційних банків в умовах загострення збройного конфлікту. Конкретизовано сутність проблемного кредиту за вимогами національної та міжнародної банківських практик. Здійснено статистичний огляд змін частки непрацюючих кредитів в структурі кредитних операцій банків за респондентами за 2018 р. – станом на 01.04.2024 р. та обгрунтовано позитивну динаміку зниження такого показника. Проаналізовано динаміку змін фінансової реструктуризації боржників за 2017-2022 рр. Надано авторське визначення стратегії управління проблемними кредитами комерційного банку, що конкретизує етапність її практичної реалізації. Доведено, що урегулювання проблемної кредитної заборгованості передбачає застосування відповідних стратегій на основі реструктуризації, судового позиву, списання або продажу проблемних кредитів комерційних банків відповідно до принципів управління та з урахуванням рівня кредитного ризику й класу боржника. Наведено основні зміни в національному законодавстві при врегулюванні простроченої заборгованості та управлінні проблемними кредитами банку у період дії воєнного стану в Україні.