bluuebunny/crossref_metadata_2025 huggingface dataset:
Blockchain Technology Implementation in Supply Chain Management: A Literature Review
Authors: Sharabati Abdel-Aziz Ahmad , Jreisat Elias Radi
Published: March 2024

The paper's objectives are to identify the main benefits, limitations, and challenges facing using Blockchain technology in the Supply Chain Management (SCM). To explore the factors that affect the adoption and application of Blockchain technology in SCM. The study uses a systematic literature review methodology to analyze and compare selected related articles published between 2016 and 2022 on the usage of Blockchain technology in the SCM. Several studies showed that there are many benefits to using Blockchain technology in SCM such as enhanced security, confidentiality, traceability, transparency, data accuracy, privacy, efficiency, accountability, and trust. At the same time, there are many limitations and challenges like scalability, interoperability, legal (regulatory) issues, high implementation and maintenance costs, standardization and information, lack of trust in technology, high energy consumption, limited awareness, integration with current systems, and privacy. Blockchain technology has the potential to revolutionize various industries, but there are still several issues that need to be addressed to fully realize its potential. Understanding the benefits and difficulties of applying Blockchain technology in different industries, including the SCM, is essential in determining its effectiveness and the different strategies needed to assess its application and implementation.
Analysis of the Magnetic Properties of Ultra-thin Grain-oriented Silicon Steel and Fe-based Amorphous Alloy from Power Frequency to Intermediate Frequency
Authors: Ma Guang , Cheng Ling , Han Yu , He Chengxu
Published: March 2024

The magnetic properties of 0.10 mm ultra-thin grain-oriented (UTGO) silicon steel and Fe-based amorphous (FBA) alloy under sinusoidal excitation were measured experimentally, and the magnetic field strength and iron loss of the two materials under different frequencies and magnetic densities were obtained. Based on the measured data, the magnetization and loss characteristics of the two materials were analyzed and compared. Furthermore, two Epstein square ring models of the same specification and different materials were designed, and the reliability of the models was verified. Then, the electromagnetic characteristics of the two Epstein square ring models at higher and lower frequencies were calculated by using the finite element method, and the iron loss was obtained and compared. The results show that the FBA alloy has good application characteristics at low frequency and low power, and the 0.10 mm UTGO silicon steel has good application characteristics at high frequency and high power. This research can provide important data basis to promote the application of these two materials in new energy equipment.
Algebraic Nexus of Fibonacci Forms and 2-Simplex Topology in Multicellular Morphogenesis
Authors: Butler Hoyos William E. , Andrade Loarca Héctor , Kahle Kristopher , Williams Ziv , Lamb Elizabeth G. , Alcantara Julio , Kinane T. Bernard , Turcio Luis
Published: March 2024

Background: Fibonacci patterns and tubular forms both arose early in the phylogeny of multicellular organisms. Tubular forms offer the advantage of a regulated internal milieu, and Fibonacci forms may offer packing efficiencies. The underlying mechanisms behind the cellular genesis of Fibonacci and tubular forms remain unknown.
Changes on SOD and NF-kappaB Levels in Substantia Nigra and Intestine, by Oxidative Stress Effects in a Murine Model of Ozone Pollution
Authors: Rivas-Arancibia Selva , Rodríguez-Martínez Erika , Valdés-Fuentes Marlen , Miranda-Martínez Alfredo , Hernández-Orozco Eduardo , Reséndiz-Ramos Citlali
Published: March 2024

This work aimed to elucidate how O3 pollution causes loss of regulation of the immune response in both the brain and the intestine. In this work, we studied the effect of exposing rats to low doses of O3 on the association between the antioxidant response of superoxide dismutase (SOD) levels and nuclear factor kappa light chains of activated B cells (NFκB) as a marker of inflammation. Method: 72 Wistar rats were used, divided into six groups that received the following treatments: Control, 7, 15, 30, 60, and 90 days at O3, respectively. After treatment, tissues were extracted and processed using Western blotting, biochemical, and immunohistochemical techniques. The results indicated an increase in 4-hydroxynonenal (4HNE) and Cu/Zn-SOD, a decrease in Mn-SOD, and SOD activity in the substantia nigra, jejunum, and colon decrease. Furthermore, the translocation of NFκB to the nucleus increased in the different organs studied.
In conclusion, repeated exposure to ozone alters the regulation of the antioxidant and inflammatory response in the substantia nigra and the intestine. This suggests that these responses are critical in the loss of regulation of the inflammatory response, and they respond to ozone pollution, which could be occurring in the progression of chronic degenerative diseases.
Synthesis and Electrochemical Characterization of Nitrate-Doped Polypyrrole/Ag Nanowire Nanorods as Supercapacitors
Authors: Kang Hyo-Kyung , Pyo Ki-Hyun , Jang Yoon Hee , Kim Yun-soo , Kim and Jin-Yeol
Published: March 2024

Polypyrrole (PPy)-capped caped silver nanowire (Ag NW) nanomaterials (core–shell rod-shaped Ag NW@PPy) were synthesized suing a one–port suspension polymerization technique. The thickness of PPy layer on the 50-nm-thickness/15-μm-length Ag NW was effectively controlled to 10, 40, 50, and 60 nm. Thin films cast from one-dimensional conductive Ag NW@PPy formed a three-dimensional (3-D) conductive porous network structure and provided excellent electrochemical performance. The 3-D Ag NW@PPy network can significantly reduce the internal resistance of the electrode and maintain structural stability. As a result, a high specific capacitance of 625 F/g at a scan rate of 1 mV/s was obtained from the 3-D porous Ag NW@PPy composite film. The cycling performance over a long period exceeding 10,000 cycles was also evaluated. We expect that our core–shell-structured Ag NW@PPy composites and their 3-D porous structure network films can be applied as electrochemical materials for the design and manufacture of supercapacitors and other energy storage devices.
Research on Weed and Crop Identification System Using Pixel-Wise Segmentation
Authors: Hu Xin-Zhi , Jeon Wang-su , Rhee Sang-Yong
Published: March 2024

Deep learning is widely used in image segmentation, effectively identifying crops and weeds and contributing to the reduction of herbicide use. Traditional methods of applying pesticides over large areas are inefficient in dealing with weeds as needed, leading to massive waste of pesticides, high-cost production, and serious environmental pollution. This affects crop yield and quality. Although weed recognition using conventional deep learning methods has evolved over time, there are still challenges in weed extraction, detection, and segmentation. Accurate recognition and detection of weeds are essential prerequisites for implementing variable spraying. This paper proposes a semantic segmentation method based on UNet++ for complex environments where accurate identification of plants and weeds is challenging, targeting weeds in sugar beets, peas, and rice. An attention module is integrated into the upsampling process of UNet++, and UNet++ is used as a backbone network to effectively integrate multi-scale information, efficiently suppressing external noise interference. The UNet++ model with an integrated attention mechanism module achieves higher IOU than the general UNet++ model used in medical image analysis. This method effectively detects crops and weeds in complex backgrounds, providing reference material for the accurate application of robotic herbicides.
Prediction of Greenhouse Microclimatic Parameters Using Building Transient Simulation and Artificial Neutral Networks
Authors: Ećim-Đurić Olivera , Milanović Mihailo , Dimitrijević Petrović Aleksandra , Mileusnić Zoran , Dragičević Aleksandra , Miodragović Rajko
Published: March 2024

The aim of this study is to develop an African Neutral Network (ANN) model for predicting temperature and relative humidity in the greenhouse during the calendar year. Input data are ambient temperature and relative humidity outside of the greenhouse chosen for a typical meteorological year for the location of the object and the values of temperature and relative humidity of the air in the greenhouse, obtained as a result of a TRNSYS dynamic simulation of the thermal load of the facility. The goal was to show that our ANN model is capable of making predictions over extended time period. The TRNSYS model was created on a real object, taking into account all relevant parameters, in order to describe the dynamic behavior of the object as good as possible. The ANN model is formed of 3 layers, where the number of neurons in the hidden layer is obtained by training different types in order to reach the optimal number of neurons, and the values of the learning rate and epochs are also varied. The activation functions were respectively the hyperbolic tangent in the hidden layer and the linear function in the output layer. The Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and Correlation Coefficient were chosen as the statistical criteria for measuring of the network performance. MAE and RMSE showed that the model with 6 neurons in the hidden layer gave the best results of data prediction in relation to the input data. Statistical analysis of output shows that, the RMSE and Mean Absolute Error (MAE) between the measured and predicted temperature was 0.3166 °C and 0.1002°, and the relative humidity RMSE and MAE was 5.9% and 3.4%, respectively, which can satisfy the demand of greenhouse climate control. The results of the study showed that the model can be used with satisfactory accuracy to predict the parameters of the internal environment, in relation to the complex simulation of the thermal load of the object.
The Long-Term Effect of COVID-19 Infection on Body Composition
Authors: Atieh Ornina , Durieux Jared C. , Baissary Jhony , Mouchati Christian , Labbato Danielle , Thomas Alicia , Merheb Alexander , Ailstock Kate , Funderburg Nicholas , McComsey Grace A.
Published: March 2024

Background: The effect of COVID-19 infection, versus the indirect effect of the pandemic on body composition remains unclear. This study investigates long-term changes in body composition in COVID–19 survivors compared to a contemporary control group.
Method: This is a prospective study involving adults who had a pre-pandemic whole-body DXA scan (DXA#1) performed between 2017 and 2019. Participants were asked to return for a repeat whole-body DXA scan (DXA#2) after the pandemic. Detailed data were collected including medical and COVID history. Inflammation markers and fasting lipids were measured. For those participants who had a COVID-19 infection between the 2 DXAs, DXA#2 was acquired at least one year after COVID-19 infection.
Results: Overall, 160 adults were enrolled; 32.5% females, 51.8% non-white, with mean age of 43.2 years. Half (n=80) of the participants had documented COVID infection between their 2 DXA scans (COVID+ group), and the other half never had COVID. COVID-negative participants had an increase in annualized trunk fat (g) [922.5 vs. 159.7; P=0.01], total fat (g) [1564.3 vs. 199.9; P=0.2], and LBM (g) [974.9 vs. -64.5; P=0.0002], when compared to COVID+ group. However, among the COVID+ group, no differences were seen in annualized trunk fat, total fat mass, or LBM between those with PASC and without (p>0.05).
Conclusion: During the pandemic, both COVID-19-survivors and COVID-negative groups exhibited increases in weight, and total and trunk fat, likely associated with pandemic-linked lifestyle modifications. However, only COVID-19-survivors had a decline in lean body mass over the same period, regardless of PASC symptoms.
Article Review: Role and Functionality of Ingredients in Plant-Based Meat Analogue Burgers
Authors: Vila-Clarà Gil , Vila-Martí Anna , Vergés-Canet Laia , Torres-Moreno Miriam
Published: March 2024

The development of plant-based meat analogues has become a significant challenge for the food industry in recent years due to the increasing demand for sustainable and healthier proteins in the context of a global protein transition. Plant-based meat analogues imitate the visual, textural, and chemical properties of traditional meat products and are required to closely resemble meat to appeal to consumers. In addition, consumers demand natural, clean-label, and nutritional and healthy products. To address these challenges, the food industry must develop highly healthy, nutritious, and E-number-free meat analogue products. Understanding the functionality of each ingredient and its role in the food matrix is crucial to being a key player in the innovation of the meat analogues market. This review provides updated information on the primary ingredients utilized for the development of plant-based burger meat alternatives and their functionality. The key components of meat analogue burgers are outlined, including plant proteins, binding agents, fats and oils, flavorings, colorings, preservatives, fortificants, and clean-label considerations.
Evolutionary Game Analysis on Cooperative Behavior of Major Projects’ Technology Innovation Subjects under General Contracting Mode
Authors: Jia Yuan Rui , Xin Wang You , Miao Qian Ying , An Yu Xian
Published: March 2024

Under the development mode of deep blending of emerging technologies, major projects are important for enhancing China's comprehensive national strength and independent innovation capability. Based on the social benefits of major projects, and considering the influence of reputation factors, an evolutionary game model composed of a general contractor and subcontractor of major projects is established. This paper studies the influence of various factors including the income distribution coefficient of collaborative innovation, and MATLAB simulation software is analyzed the influence of factors on an evolutionary path. The results show that a reasonable income distribution coefficient can promote the game behavior of both parties to the direction of active collaborative innovation; The reduction of innovation cost and the improvement of spillover technology absorption capacity can make innovation subjects tend to choose active collaborative innovation strategies. In addition, reputation loss above a specific threshold can effectively inhibit free-riding behavior and encourage innovation subjects to choose active collaborative innovation strategies. The research results provide reference for promoting major projects' technology innovation.
Parkinson's Disease Recognition using Decorrelated Convolutional Neural Networks: Addressing Imbalance and Scanner Bias in rs-fMRI Data
Authors: Patil Pranita , Ford W. Randolph
Published: March 2024

Parkinson’s Disease (PD) is a neurodegenerative and progressive disease that impacts the nerve cells in the brain and varies from person to person. The exact cause of PD is still unknown, and the diagnosis of PD does not include a specific objective test with certainty. Although deep learning has made great progress in medical neuroimaging analysis, these methods are very susceptible to biases present in neuroimaging datasets. An innovative decorrelated deep learning technique is introduced to mitigate class bias and scanner bias while simultaneously focusing on finding distinguishing characteristics in resting-state functional MRI (rs-fMRI) data, which assist in recognizing the PD with good accuracy. The decorrelation function reduces the non-linear correlation between features and bias in order to learn bias-invariant features. The Parkinson’s Progression Markers Initiative (PPMI) dataset, referred to as a single scanner imbalanced dataset in this study used to validate our method. The imbalanced dataset problem affects the performance of the deep learning framework by overfitting to the majority class. To resolve this problem, we propose a new Decorrelated Convolutional Neural Networks (DcCNN) framework by applying decorrelation-based optimization to Convolutional Neural Networks(CNN). An analysis of evaluation metrics comparisons shows that integrating the decorrelation function boosts the performance of PD recognition by removing class bias. Specifically, our DcCNN model performs significantly better than existing traditional approaches to tackle the imbalance problem. Finally, the same framework can be extended to create scanner invariant features without significantly impacting the performance of a model. The obtained dataset is a multi-scanner dataset which leads to scanner bias due to the differences in acquisition protocols and scanners. The multi-scanner dataset is a combination of two datasets, namely PPMI and FTLDNI - frontotemporal lobar degeneration neuroimaging initiative (NIFD) dataset. The results of t-distributed stochastic neighbor embedding (t-SNE) and scanner classification accuracy of our proposed Feature Extraction-DcCNN (FE-DcCNN) model validated the effective removal of scanner bias. Our method achieves an average accuracy of 77.80% on a multi-scanner dataset for differentiating PD from healthy control, which is superior to the DcCNN model trained on a single scanner imbalanced dataset.
Analyzing the Energy Consumption of Smart Home and Price Prediction
Authors: Kutseva Milka
Published: March 2024

This paper describes a system that is used to gather data from Smart Home sensors measuring energy consumption, analyze and predict future consumption by using machine learning algorithm for prediction. It focuses on the architecture of the system as well as the need for such system to exist in practice – why the consumption should be measured at all and how that measurement can be put to good use for achieving energy efficiency.
Exploring Walkability in Saudi Cites Using GIS Techniques to Enhance Urban Sustainability
Authors: Aloshan Mohammed A , Gharieb Moustafa , Heba Khaled Mahmoud , Khalil Ragab , Alhumaid Mohammed Humaid , Ezz Mohamed salah
Published: March 2024

This study employs Geographic Information System (GIS) techniques to evaluate the walkability of Onaizah City, which serves as a representative model for a Saudi city situated in the Qassim region, north of the capital city, Riyadh. The goal is to evaluate how easily pedestrians can navigate the street network and identify areas that excel or need improvement in terms of walkability. The results offer insights for planning and development supporting sustainable initiatives. Approach; The study involves integrating GIS data, such as street layouts, land use patterns, and demographic information. By analyzing factors like integration values and choice values within the street network the study gauges’ walkability aspects. Furthermore, correlation analysis explores how spatial arrangements, influence walkability. By studying the case of a medium-sized Saudi city, which can then be applied to several Saudi cities. Cost distance analysis and cost-back correlation calculations are employed to determine pedestrian routes. Findings and Discussion; Through GIS techniques the study effectively assesses the walkability of Onaizah City by identifying three walking paths with lengths of (1401m, 1283m, and 1507m). The study reveals pedestrians' actual city distance. Weighted criteria assign 40% to heritage sites, 30% to green spaces, and 15% each to mosques/commercial sites. Preserving access to heritage sites and incorporating areas enhance walkability. Conclusion: Study enhances walkability understanding, offering data-driven planning suggestions. Urban planners prioritize pedestrian connectivity, considering GIS effectiveness and physical environment importance. Findings support walkability research and sustainable urban development.
The Quality of the Structural Domain of Tuberculosis Services at Public Health Facilities in Sidama Region, Southern Ethiopia: An Institution-Based Cross-Sectional Study Design
Authors: Yoseph Amanuel , Arega Aschalew , Shume Tebeje , Tucha Million , Debessa Temesigen , Birhanu Belay , Guja Damene
Published: March 2024

Abstract Introduction: Poor structural quality of health facilities for tuberculosis (TB) diagnosis and treatment contributes to unfavorable health outcomes among TB patients. Improving the quality of healthcare services helps to avert TB-related morbidity. Despite these facts, the level of structural quality of health facilitieSs to deliver TB services is not in line with what the national TB and leprosy program (NTLP) recommends. Hence, the present study was conducted to assess the structural quality of health facilities to deliver quality TB services to TB patients among public health facilities in the Sidama region.Objectives: To determine the quality of the structural domain of TB services at public health facilities in the Sidama region of southern Ethiopia.Methods: An institution-based cross-sectional study was conducted from June to July 2023 among randomly selected public health facilities in the Sidama region. We included 40 randomly selected public health facilities that delivered TB services in the study area. Data was collected by experienced data collectors using facility audits, clinical observation checklists, structured questionnaires, and in-depth interviews. An Open Kit Mobile (ODK) application was used to collect data and exported to SPSS version 26. All statistical analysis was done using SPSS version 26.Results: The overall mean quality score for the structural dimension was 50.25 among the 40 health facilities audited in the study area.Conclusion: The quality of TB services regarding structural dimensions was poor in the study area. Therefore, any strategies must give careful attention to increasing the comprehensive structural dimension of quality TB services.
Comparison of Melting-Affected Rocks from Presumed Small Impact Craters and Old Limekilns in Bavaria, Germany
Authors: Procházka Václav , Herrmann Horst , Kalenda Pavel , Martinec Petr , Mizera Jiří , Trojek Tomáš , Thinová Lenka , Kletetschka Gunther , Adámek Jan , Souček Kamil
Published: March 2024

Depressions containing partially molten rocks were investigated in Quaternary pebbly sedi-ments in Alpine foreland in Bavaria, Germany. Ruins of limekilns from 18-19th centuries are abundant around Seeshaupt. They are usually associated with earthworks for fuel feeding and protection from wind. Depressions contain partially molten stones from furnace walls, with lime and burnt loam remnants. On the surface of pebbles (typically gneisses), green glass formed with chemical composition possibly affected by moderately volatile components of wood biomass, mainly K and Cu. Thermoplastic deformation of pebbles is limited and the sur-face melt deformation points to slow flow. At Emmerting, on the other hand, two walled circu-lar depressions which lack additional earthworks have been identified as possible impact cra-ters. Thermally affected pebbles show much more intense deformation. Colorless to greenish glass, also K and Cu enriched, usually forms only thin surface coatings, in places covered by younger melt extruded from pebble interior. Burnt loam is missing. At Grabenstätt-Kaltenbach, a depression of unclear origin was investigated. Morphologically, it matches craters rather than limekilns, but anthropogenic contamination (brick-like material) is probable. The rare molten samples do not display extreme deformation features. The thermally affected stones, mainly those from Emmerting, have elevated magnetic susceptibility.
Agroecological Transformation: Implementation of an Agroforestry System in a Construction Debris Area Focusing on Vegetables Development through Microbial Treatments
Authors: Fernandes Rodrigues Thiago , Paes Machado Itkes Marina , Brogiato Giovanne , Reis Marques Victor Augusto , Martins Valdir , Villarraga Carlos Orlando , Esposito Elisa
Published: March 2024

Soil microorganisms plays an important role on plant development and the homogenization of soil microbiome is agri-environmental harmful. It is essential that agricultural practices are carried out taking soil microbiome preservation in consideration. Agroforestry systems are one of the most environmentally friendly agrosystems and its plant diversity influence directly the soil microbiome diversity. In addition, many technologies have been developed and used by applying inoculants in agriculture. However, most of the inoculants are developed with only one or a little number of microbial species to supply a specific plant nutritional demand. In this study we tested the efficacy of the microbial consortium (MC) obtained from compost and the cyanobacteria Arthrospira platensis (AP) comparing with the application of the vermicompost tea (VT) and bokashi (BK) in arugula, lettuce, beetroot, and carrot in an agroforestry system in two seasons. Soil changes on chemical properties and β-glucosidase and arylsulfatase were measured over time. The vegetables yield was measured and for arugula and lettuce the nutritional traits and plant root system were also evaluated. Greater plant yield, nutritional values, and plant root development was observed in the CM treated plants, AP and BK had similar results. Our results show that both CM and AP have potential to become a sustainable product for agricultural production
Double Targeting Inflammasome Activation and Accelerated Cellular Senescence in Alveolar Macrophages Exposed to Cigarette Smoke and COPD
Authors: Asare Patrick Fordjour , Hodge Greg , Ween Miranda , Hamon Rhys , Truong Tung Thanh , Jersmann Hubertus , Reynolds Paul , Hodge Sandra , Tran Hai Bac
Published: March 2024

We hypothesise that anti-inflammatory macrolides can alleviate both the NLRP3 inflammasome activation and accelerated senescence in alveolar macrophages in COPD and/or response to cigarette smoke. Lung tissues from COPD patients and mice chronically exposed to cigarette smoke, cultures of human primary alveolar macrophages and macrophages derived from blood (MDM) or THP-1 monocytes were analysed for markers of macrophage NLRP3 inflammasome activation and accelerated senescence using multifluorescence quantitative confocal microscopy, Western blot, flow cytometry and histochemistry. Cultured macrophages were stimulated with 10% cigarette smoke extract (CSE), with or without presence of non-antibiotic macrolides 2'-desoxy-9-(S)-erythromycylamine and azithromycin-based 2'-desoxy molecule. Cigarette smoke and CSE induced in macrophages significant (p
Recent Advances in The Plant Genomic DNA Methylation Studies and Its Involvement in Regulating Drought Stress Response in Crops
Authors: Fan Youfang , Sun Chao , Yan Kan , Li Pengcheng , Hein Ingo , Gilroy Eleanor M , Kear Philip , Bi Zhenzhen , Yao Panfeng , Liu Zhen , Liu Yuhui , Bai Jiangping
Published: March 2024

As the global arid climate intensifies and the groundwater becomes increasingly scarce, drought stress has become a major challenge to plant growth and development worldwide, especially causing yield reduction and extinction of cultivated crops. In a large number of drought resistance studies, DNA methylation has been found dynamically associated with response to drought stress in plants by regulating gene expression and developments in plants, but the specific mechanisms are not yet clear. In this article, the current advances of research have been summarized on DNA methylation response to drought stress in various plant species, in terms of methylation detection methods, mechanisms of pattern changes (DNA de novo methylation, DNA maintenance methylation, and DNA demethylation), and its response to drought stress. With Most of the studies showed significant changes in genome or gene promoter methylation levels in plants subjected to drought stress, but the identification of the genes and pathways involved is still in the minority. The aim is to provide references for in-depth research on the response of plants to drought stress through epigenetics, and to uncover drought resistance genes regulated by DNA methylation, specific signaling pathways, and molecular mechanisms of action.
Developing Customized Lattice Structures Tailored to Mimic Closely Patients’ Bone Anisotropic Properties and Microarchitecture for Joint Reconstruction Applications
Authors: El-Gizawy Ahmed Sherif , Ma Xuewei , Arnone Joshua C. , Melaibari Ammar A.
Published: March 2024

Existing implants used with Total Knee Arthroplasty (TKA), Total Hip Arthroplasty (THA), and other joint reconstruction treatments, have displayed premature failures and frequent needs for revision surgery in recent years, particularly with young active patients who represent more than 55% of all joint reconstruction patients. Bone cement and stress shielding have been identified as the major reasons for premature joint failures. A breakdown of the cement may happen, and revision surgery may be needed because of the aseptic loosening. The significant mismatch of stiffness properties of patient trabecular bones and metallic implant materials in joint reconstruction surgery results in the stress shielding phenomenon. This could lead to significant bone resorption and increased risk of bone fracture and the aseptic loosening of implants. The present project introduces an approach for development of customized cellular structures to match the mechanical properties and architecture of human trabecular bone. It consists of four modules:1- characterization of geometry, microarchitecture, and stiffness properties of patient’s bones; 2- developing customized lattice structures tailored to mimic properties established in module 1; 3 - integration of developed lattice structure into full scale implant design and manufacturing; 4- implementation of the developed technology for use in implants that would overcome most of the issues related to aseptic loosening phenomenon. The present work aims at fulfilling the objectives of module 2 by exploring new designs of customized lattice structures and texture tailored to mimic closely patients’ bone anisotropic properties and that can incorporate an engineered biological press-fit fixation technique. The effects of various lattice design variables on mechanical performance of the structure are examined through systematic experimental plan using statistical design of experiments technique and analysis of variance method. All tested lattice designs were explored under realistic geometrical, biological, and manufacturing constraints. Of the four design factors examined in this study, strut thickness was found to have the highest percent contribution (41%) regarding the structure stiffness, followed by unit cell type, and cell size. Srut shape was found to have the lowest effect with only 11% contribution. The introduced solution offers lattice structure designs that can be adjusted to match bone stiffness distribution and promote bone ingrowth and hence eliminating the phenomenon of stress shielding while incorporating biological press-fit fixation technique.
Perceptions of Sustainability among Children and Teachers: Problems revealed via the Lenses of Science Communication and Transformative Learning
Authors: Gelmez Burakgazi Sevinç , Reiss Michael
Published: March 2024

Scholars and policymakers see sustainability as depending on the interrelationships between the three pillars of the environment, society and the economy. However, it remains less clear how key stakeholders with a responsibility for educating the next generation perceive the concept of sustainability and act accordingly. In order to gain new insights, this research scrutinises participant perceptions on sustainability and climate change in two eco-schools in England for primary children (aged 5-11 years). Our case study involved individual interviews with classroom teachers and headteachers, group interviews with fourth- and fifth-year students (ages 10-12 years), and in-class observations. We also analysed data from student exercise books and photographs of school grounds to understand participants’ self-reported knowledge and perceptions of sustainability and climate change. Within a framework drawing on theories of science communication and transformative learning (a learning approach based on having challenging experiences), the results show that the integration of sustainability into the curriculum was limited and problematic. That is despite the fact that all students and teachers were aware of the environmental dimensions of sustainability, like climate change and the overuse of natural sources. These findings suggest that schools are no different to other institutional settings when it comes to dealing with the challenges of integrating sustainability into daily practice. We conclude that there is a need for in-service teacher education programmes to enable and motivate teachers to provide richer teaching-learning environments so as to enable effective learning in schools about sustainability and climate change.
Occurrence of Clostridium perfringens in Wild Mammals in the Amazon Biome
Authors: Oliveira Hanna Gabriela da Silva , Sousa Ananda Iara de Jesus , Zanon Isabela Paduá , Lopes Cinthia Távora de Albuquerque , Silva Rodrigo Otavio Silveira , Domingues Sheyla Farhayldes Souza , Salvarani Felipe Masiero
Published: March 2024

The objective of this study was to evaluate the occurrence of Clostridium perfringens in stool samples and swabs collected from wild mammals in the Amazon biome. Sixty-five faecal and swab samples were collected in situ and ex situ from 16 species and three genera of wild mammals, some of which were in good health and some of which had diarrhoea. After pre-enrichment, the samples were plated on selective agar for C. perfringens. Characteristic colonies were subjected to multiplex PCR for the detection of genes encoding the main C. perfringens toxins (alpha, beta, epsilon, and iota toxin and enterotoxin). Among the 65 samples, 40 (61.5%) were positive for the gene encoding the alpha toxin and were classified as type A. Faecal samples were more than four times more likely to be positive for C. perfringens than were swab samples. No other toxinotypes were found. The findings of this study suggest that C. perfringens type A is commonly found as a commensal in mammal species of the Amazon biome. This seems to be the first study to identify C. perfringens type A in species such as B. variegatus (common ground sloth), C. didactylus (two-toed sloth), P. flavus (Jupará), T. tetradactyla (anteater), S. collinsi (squirrel monkey), S. niger (black marmoset), and S. apella (Guyana capuchin) and in the genus Didelphis sp. (opossum).
Mueller Matrix Polarizing Power
Authors: Gil Jose J.
Published: March 2024

The transformation of the states of polarization of electromagnetic waves that interact with polarimetrically linear media can be represented by means of the associated Mueller matrix. A global measure of the ability of a linear medium to modify the states of polarization of incident waves, due to any combination of enpolarizing, depolarizing and retarding properties, is introduced as a distance of the Mueller matrix to the identity matrix. This new descriptor, called the polarizing power, is applicable to any Mueller matrix and can be expressed as a function of the degree of polarimetric purity and the trace of the Mueller matrix. The graphical representation of the feasible values of the polarizing power provides a general view of its main peculiarities and features. The values of the polarizing power for several typical devices are analyzed.
Use of Stable Isotopes (δ13C and δ15N) to Infer Post-breeding Dispersal Strategies in Iberian Populations of the Kentish Plover (Charadrius alexandrinus)
Authors: Gestoso Andrea , Vidal María , Domínguez Jesús
Published: March 2024

Beaches are among the habitats most frequented by migratory birds for breeding and/or wintering. However, threats such as human pressure and sea level rise can reduce the availability of these habitats for different species. The presence of alternative areas, such as salt pans and brackish habitats, is essential for many migratory shorebird populations. This study addresses the post-breeding dispersal of the Kentish plover (Charadrius alexandrinus) in the Iberian Peninsula by analysing C and N isotopes in feathers. The study was conducted at six locations along the Iberian coast, which were categorized in three areas: NW Atlantic coast, the Atlantic coast of Andalusia and the Mediterranean coast. Although linear mixed models did not reveal any significant effects of sex or coastal area on isotopic levels, the variability in the data suggests different habitat-use strategies in the post-reproductive period. Birds from the northwest of the Iberian Peninsula exhibit greater fidelity to a single habitat type, i.e. coastal beaches, while populations from the Mediterranean coast and the Atlantic coast of Andalusia show different individual dispersal strategies, occupying coastal habitats and freshwater wetlands. The lack of alternative habitats for the northwest Iberian population, the reduction in available habitat due to rising sea levels and human pressure together pose a serious threat to the survival of this species, already with an unfavourable conservation status.
Valuation Of Carbon Storage in Telaga Warna National Park Indonesia
Authors: Hartono Esap Mundi
Published: March 2024

Forests are crucial natural resources in Indonesia, storing significant biodiversity and providing essential benefits for both the environment and people's livelihoods. They contribute significantly to the country's economy, support local communities, and play a vital role in mitigating climate change through carbon sequestration. This study examines the carbon storage valuation in tree forests of Telaga Warna National Park, Indonesia, highlighting the importance of preserving forests for carbon sequestration and climate resilience. The data was collected within a subplot measuring 10x10 meters, and for trees within a plot measuring 20x20 meters. The study focuses on pole and tree species. Based on the data obtained, it is found that the dominant vegetation in Telaga Warna National Park is Riung Anak / Casitanopsis javanica, with a potential carbon value of US$ 2.96 per Ha for pole species and US$ 98.49 for tree species.
A Cyber-Physical System Based on Digital Twin and 3D SCADA for Real-Time Monitoring of Olive Oil Mills.
Authors: Martinez-Ruedas Cristina , Flores-Arias Jose-Maria , Moreno-Garcia Isabel M. , Linan-Reyes Matias , Bellido-Outeiriño Francisco Jose
Published: March 2024

Cyber-physical Systems involve the creation, continuous updating and monitoring of virtual replicas that closely mirror their physical counterparts. These virtual representations are fed by real-time data from sensors, Internet of Things (IoT) devices and other sources, enabling a dynamic and accurate reflection of the state of the physical system. This emphasizes the importance of data synchronization, visualization and interaction within virtual environments as a means to improve decision-making, training, maintenance and overall operational efficiency. This paper presents a novel approach to a cyber-physical system to harness the power of Industry 4.0, Digital Twin technology, Virtual Reality (VR) and 3D SCADA in the context of monitoring and optimizing an olive mill. In conclusion, this paper presents a methodology that leverages digital twins and virtual reality to create an immersive, data-driven simulation and monitoring system for an olive mill. The proposed CPS takes data from the physical environment through the existing sensors and measurement elements in the olive mill, concentrates them and exposes them to the virtual environment through the Open Platform Communication United Architecture (OPC-UA) protocol, thus establishing a bidirectional and real-time communication. Furthermore, in the proposed virtual environment, the digital twin is interfaced with the 3D SCADA system, allowing it to create virtual models of the process. This innovative approach has the potential to revolutionize the olive oil industry by improving operational efficiency, product quality and sustainability, while optimizing maintenance practices.
On the Economic Feasibility of Creating a Digital Track Model in Kazakhstan's Railway System
Authors: Durmagambetov Asset
Published: March 2024

The development of a Digital Track Model (DTM) within Kazakhstan's railway system presents an innovative approach to enhancing efficiency and safety across the network. This paper investigates the economic viability of DTM implementation, offering a comprehensive mathematical model that highlights potential reductions in maintenance costs and improvements in system accuracy and durability. The findings advocate for DTM's potential to significantly elevate railway operations, suggesting a pivotal step towards modernizing Kazakhstan's transit infrastructure.
GIPR Overexpression Reduces the Tumorigenic Potential of Retinoblastoma Cells
Authors: Haase André , Alefeld Emily , Yalinci Fatma , Meenen Dario Van , Busch Maike Anna , Dünker Nicole
Published: March 2024

Keywords: retinoblastoma, RB, gastric inhibitory polypeptide receptor, GIPR, trefoil factor family peptide, TFF1, CAM, tumorigenesis, MK0893, miR5-542-5p
KEANEKARAGAMAN CAPUNG (ORDO ODONATA) DI PULAU NUSAKAMBANGAN, KABUPATEN CILACAP, JAWA TENGAH
Authors: Muhammad Nu'manuddin  , Hening Triandika Rachman  , Wahyu  Sigit Rahadi  , Diagal Wisnu Pamungkas  , Nanang Kamaludin  , Frendi Irawan  , Prajawan Kusuma Wardhana  , Amelia Nugrahaningrum  , R.C. Hidayat Soesilohadi
Published: March 2024

Pulau Nusakambangan memiliki habitat yang cukup baik dan catatan keanekaragaman capung yang cukup banyak ini menjadikan Pulau Nusakambangan menjadi menarik untuk diteliti lebih lanjut terutama kaitannya dengan tipe-tipe habitat yang ada di Pulau Nusakambangan. Penelitian ini bertujuan untuk mengetahui keanekaragaman jenis capung di Pulau Nusakambangan. Penelitian dilaksanakan pada Bulan Agustus, September dan Desember tahun 2020 di Pulau Nusakambangan, Kabupaten Cilacap, Jawa Tengah. Penelitian ini dilaksanakan di 10 lokasi pengamatan. Pengambilan data dilakukan dengan metode Visual Encounter Survey. Analisis data habitat dilakukan dengan metode deskriptif kualitatif, analisis keanekaragaman jenis capung dihitung menggunakan Indeks Keanekaragaman Shannon-Wienner. Berdasarkan penelitian yang telah dilakukan di Pulau Nusakambangan teramati sekitar 695 individu dengan jumlah spesies sebanyak 45 jenis capung yang termasuk dalam 10 family. Nilai indeks keanekaragaman di Pulau Nusakambangan secara total tergolong tinggi dengan nilai 3,05.

 

Kata kunci: Capung, Odonata, Nusakambangan
STRUKTUR KOMUNITAS IKAN DAN TERUMBU KARANG PULAU TUNDA, KABUPATEN SERANG, BANTEN
Authors: Aurel Satyaning Ati  , Muhammad Ariq Rafii Ramadhan  , Muhammad Adil Awal  , Rossa Rechtisia
Published: March 2024

Tunda Island is one of the leading marine destinations in Banten Province which has high potential biodiversity. This study aimed to determine the health condition of the Tunda Island coral reef ecosystem. The method used in this study was Line Intercept Transect (LIT) method for coral reef and Belt Transect method for reef fish. Based on coral reef survey, the percentage of coral coverage on Tunda Island was 34.7%. From this value the coral reefs of Tunda Island were included in the sufficient category. The results of a survey of fish showed that there were 57 species from 17 families, which is dominated from Pomacentridae. The diversity index value (H ') of reef fish was 3.143, which showed that the diversity of reef fish around Tunda Island was high, and the uniformity index value (e) was 0.777, which showed that in Tunda Island waters the spread of fish species was stable.
EKSPLORASI JENIS AMFIBI DI SEPANJANG PINGGIRAN DANAU SIPIN JAMBI, SUMATERA TENGAH
Authors: Adriadi Ade , Paiman Asrizal , Indriani Rini
Published: March 2024

This study aimed to determine the diversity of amphibian species in different habitat types along shore of Lake Sipin. This study used a combination of path (Transect) and VES (Visual Encounter Survey) methods. Research area was determined using purposive sampling based on the function of the habitat and the number of prey animals. The population in this study was all amphibians in the Sipin Lake. The samples were all amphibians caught using fishing nets or bare hands. Identification of amphibian species found in the lake used field guidebooks and online-based guide. The results of research carried out along the edge of Lake Sipin showed 215 individuals, 8 species and 4 families were found to be amphibians. The diversity index for amphibian species generally shows an H' index with an H' value of 1.19, which is included in the medium diversity index value. The overall amphibian species evenness index value is classified as an unstable community (E=0.573) and the amphibian species richness index value generally shows a low species richness index (Dmg=1.303). Meanwhile, the value of the community similarity index or Index of Similarity (IS) generally shows that natural habitats and tourism are relatively high with an index value of 90%.
POLA KOMUNIKASI MAHASISWA MAGANG SAAT PANDEMI
Authors: Marisa Puspita Sary  , Vera Wijayanti Sutjipto  , Maulina Larasati  , Maulina Larasati  , Wanda Hanifah  , Ayu Priana  , Annisa Sekarwulan
Published: March 2024

ABSTRACT

This study discusses the communication patterns of internship during the COVID-19 pandemic. This study uses a qualitative method. Primary data collection is done through interviews. There were 13 informants in this study who were students of Communication Studies at Universitas Negeri Jakarta who were doing an internship. The results of this study indicate that of the 13 informants interviewed, 12 of them applied a two-way communication pattern during their internships. Then the remaining informants apply a one-way communication pattern. 11 of the 13 informants also applied a multi-way communication pattern in their respective internships.

ABSTRAK

Penelitian ini membahas perihal pola komunikasi mahasiswa magang yang dilakukan selama pandemi COVID-19. Penelitian ini menggunakan metode kualitatif. Pengumpulan data primer dilakukan melalui wawancara. Terdapat 13 informan pada penelitian ini merupakan mahasiswa Ilmu Komunikasi Universitas Negeri Jakarta yang sedang melakukan magang di luar kampus. Hasil penelitian ini menunjukan bahwa dari 13 informan yang diwawancarai, 12 di antaranya menerapkan pola komunikasi dua arah pada saat magang. Kemudian informan sisanya menerapkan pola komunikasi satu arah. 11 dari 13 informan tersebut juga menerapkan pola komunikasi multi arah di tempat magang masing-masing.