bluuebunny/crossref_metadata_2025 huggingface dataset:
Computational Simulation of Indonesian Natural Compounds as Mainprotease Inhibitors of SARS CoV 2
Authors: Tri Wahyudi Setyanto , Muscifa Zahra Silmi , Sumaryada Tony Ibnu , Ambarsari Laksmi
Published: July 2023

The computational method provides an alternative approach for conducting screening of natural substances antiviral properties against the SARS-CoV-2 virus. This research focuses on the Main Protease, a target protein that plays a central role in viral replication by producing an enzyme that cleaves the host protein nuclear factor (NF)-κB in SARS-CoV-2. The study used a thousand natural compound structures from the Indonesian Natural Compound Database (Herbaldb), filtered based on the similarity of their pharmacophore features with Mainprotease inhibitors. In compounds with good pharmacophore properties, docking will be carried out to determine the binding affinity with the target protein and obtain the complex structure. The ADMETSAR test was used to determine the pharmacology and pharmacokinetics of the five best natural compounds. Finally, molecular dynamics simulation of the complex structure was performed to assess the stability of the best compound interactions with the SARS-CoV-2 Mainprotease. The compounds identified as Mainprotease inhibitors in this study were cosmosiin, glucobrassicin, and isobavachin.
Molecular interaction analysis and visualization of protein-ligand docking using Biovia Discovery Studio Visualizer
Authors: Baroroh, S.Si., M.Biotek. Umi , Muscifa Zahra Silmi , Destiarani Wanda , Rohmatullah Fauzian Giansyah , Yusuf Muhammad
Published: July 2023

Molecular docking interpretation is one of the crucial part before determining the result. Docking is commonly used to study the biomolecular interaction, usually for protein-ligand interaction, and to study about the molecular mechanism. Analysis of molecular interaction can help user to determine the strengthened of docking results, besides free energy of binding. In this protocol, analysis of molecular interaction as well as the surface characteristic of receptor was discussed in detail. In addition, the visualization to obtain suitable pictures for publications also included. The entire protocol will spend more of less 2 hours.
Formulation and Antioxidant Activity of Lip Balm Containing Banana Peel (Musa paradisiaca var. Sapientum) Methanol Extract
Authors: Pusmarani Jastria Pusmarani
Published: July 2023

Banana peel (Musa paradisiaca var. Sapientum) contains flavonoid, phenolic and tannin compounds as high source of antioxidant that can inhibit free radical reaction. Antioxidant were exhibited to hydrate, soften, and reduce dryness of the skin, and it can be potentially used as a lip balm formulation. This study investigated the stability of lip balm formulation contains banana peel methanol extract include pH test, homogeneity test, hedonic test, and evaluated antioxidant activity with DPPH method. This study used experiment laboratory method with banana peel methanol extract concentrations of 5%, 7.5%, and 10%, respectively. According to the results of this study, banana peel was made in form lip balm formulation, and it has homogeneous with suitable pH (5-6), no irritation and stable in storage at temperatures room (250). The hedonic test showed that lip balm contains banana peel with concentration of 7.5% and 10% were the most preferred by panelist. The antioxidant activity was exhibited an inhibition concentration of 50% (IC50). Lip balm of banana peel methanol extract of 5%, 7.5% and 10% were showed antioxidant activity with IC50 value of 44.910 ppm, 10.887 ppm and 61.930 ppm, respectively. Antioxidant activity of lip balm contains banana peel formulation with concentration of 5% and 7.5% were classified as very strong antioxidants. Lip balm containing banana peel formulation concentrations of 10% was categorized as a strong antioxidant. In this study, all lip balm formulation can be declared stable. In addition, lip balm contains banana peel methanol extract exhibited antioxidant properties and it can be made into a natural cosmetic formulation such as a lip balm.
STUDI IN SILICO SENYAWA AKTIF KAYU JAWA (Lannea Coromadelica) SEBAGAI ANTIINFLAMASI MELALUI PENGHAMBATAN MEDIATOR TNF-α DAN COX-2
Authors: Syarif Sukmawati
Published: July 2023

Kayu jawa (Lannea coromandelica) merupakan salah satu tanaman yang banyak digunakan secara empiris oleh masyarakat di Sulawesi Selatan sebagai obat tradisional karena memiliki efek farmakologis seperti antiinflamasi yang merupakan respon protektif normal terhadap berbagai proses fisiologis di dalam tubuh serta memiliki efek biologis yang dapat bekerja pada target molekul. Inflamasi adalah respon perlindungan normal terhadap cedera jaringan yang disebabkan oleh trauma fisik, bahan kimia berbahaya, atau agen mikrobiologi. Tujuan penelitian ini adalah untuk mengetahui senyawa kimia apakah pada tanaman Kayu jawa (Lannea coromandelica) yang berpotensi sebagai antiinflamasi dengan mekanisme penghambatan reseptor TNF-α dan COX-2. Metode penelitian ini adalah  in silico menggunakan metode molecular docking dengan perangkat lunak Autodock. Tahapan penelitian antara lain simulasi doking reseptor dengan ligan uji kemudian di validasi, setelah itu di visualisasi menggunakan  discovery studio, kemudian dilanjutkan pada tahapan data analisis serta prediksi ADME. Adapun hasil penelitian Senyawa 3-hydroxy-4’,5,7-trimethoxyflavanone terhadap COX-2 dan senyawa uji morin terhadap TNF-α berpotensi sebagai antiinflamasi dengan kemampuan lebih rendah dibandingkan dengan liga alami untuk berkatan dengan sisi aktif pda reseptor target. Selanjutnya penelitian ini diharapkan menjadi pilot project produksi sediaan obat antiinflamasi yang dapat digunakan oleh masyarakat luas
Formulation and Test of Physical Characteristics of Ethanol Extract Capsules of Red Atai Tuber (Angiopteris ferox Copel)
Authors: Aisyah Andi Nur , Khairi Nur , Nur Syamsu , Amriani Amriani , Megawati Megawati , Lukman Lukman , Ikbal Ikbal , Marwati Marwati , Indrisari Maulita , Munawwarah Madinatul
Published: July 2023

Umbi paku atai merah (Angiopteris ferox Copel) merupakan tumbuhan paku yang berasal dari suku Dayak yang digunakan sebagai obat tradisional yang berpotensi sebagai antioksidan karena memiliki kandungan senyawa metabolit sekunder meliputii alkaloid, steroid, flavanoid, tanin serta saponin. Penggunaan umbi paku atai merah di masyarakat masih menggunakan cara tradisional yaitu diseduh dengan air panas, diminum air rebusannya dan meninggalkan rasa yang tidak enak, sehingga tujuan dari penelitian ini yaitu untuk memformulasi sediaan kapsul ekstrak etanol umbi paku atai merah yang memenuhi karakteristik fisik. Penelitian ini dilakukan pembuatan sediaan kapsul yang berisi granul dengan variasi konsentrasi aerosil FI 5%, FII 7% dan FIII 9%. Granul dibuat dengan metode granulasi basah, lalu dilakukan evaluasi karakteristik fisik granul dan kapsul. Hasil yang diperoleh dari ketiga granul tersebut memenuhi karakteristik fisik granul dengan parameter uji organoleptik, kandungan lembab, susut pengeringan, kecepatan alir, sudut istirahat, Bj sejati, Bj nyata, Bj mampat dan porositas. Sedangkan untuk kapsul FI dan FII merupakan sediaan yang memenuhi karakteristik fisik kapsul dengan parameter uji keseragaman bobot, waktu hancur dan higroskopis.
Does r-g cause wealth inequality? The case of the United States
Authors: Strauss David , Ventosa-Santaularia Daniel
Published: July 2023

Piketty claims that the gap between the return to capital and the growth rate (r−g) governs the evolution of wealth inequality. This paper assesses its empirical validity using an IV approach and almost one century of US data. Our results are twofold: First, wealth shares are nonstationary, necessitating first differences to draw a valid inference from any econometric exercise. This is consistent with Piketty’s line of argumentation and casts doubt on studies on inequality that use inequality levels without showing the trending behavior of the data. Second, r−g played a significant role in the evolution of wealth inequality over the last century, both statistically and economically. In particular, r−g can explain over 50% of the increase in wealth inequality since the late 1970s.
Who is the greatest team in Liga MX? A dynamic analysis
Authors: Corona Francisco , Muriel Nelson , López-Pérez Jesús
Published: July 2023

In this paper, we conduct a statistical procedure to respond a very frequent question in Mexican sport media TV: Who is the greatest team in Liga MX? For this purpose, we apply Principal Components to a historical domestic and international results database along with variables related to the fans and the market value of the franchises’ roster from 2011-2019. The results allow us to analyze the evolution of the “greatness” latent variable over time, concluding that, in the window of time analyzed, Club América is the greatest team, followed by C.D. Guadalajara and C.F. Cruz Azul. Additionally, nowadays, Club Tigres de la Universidad Autónoma de Nuevo León and C.F. Monterrey displace teams like Deportivo Toluca F.C. and Club Universidad Nacional.
Dualidad del mercado laboral, crecimiento regional y la evolución de la pobreza
Authors: Pérez Méndez Marco Antonio
Published: July 2023

En esta investigación se proponen algunos determinantes de la evolución de corto plazo de la tasa de pobreza y las diferencias del crecimiento económico regional en México. Se muestran los vínculos entre la dualidad del mercado laboral relacionada con la informalidad y la manera en la que ésta se configura como freno diferenciado del crecimiento regional y motor de la pobreza, en función de los matices relacionados con la crisis internacional de 2008. Se encuentra que la dinámica económica regional está altamente vinculada con la informalidad de la mano de obra ya que el segmento informal mitiga el crecimiento y esta potencia el incremento de la tasa de pobreza en regiones altamente vinculadas a los mercados globales.
Analgesic effects of oxycodone hydrochloride injection after laparoscopic cholecystectomy and influence on substance P, 5-hydroxytryptamine, and patient-controlled intravenous analgesia
Authors: Tan Lei , Fan Qiannan , Chen Yue , Wu Hao , Xu Huanxi , Zhong Mingjie , Wu Lei
Published: July 2023

Introduction

We sought out to evaluate the effects of oxycodone hydrochloride injection on laparoscopic cholecystectomy (LC), substance P, 5-hydroxytryptamine (5-HT), and patient-controlled intravenous analgesia (PCIA).

Materials and Methods

A total of 120 eligible patients were randomly divided into an observation group (n=60) and control group (n=60). Oxycodone (0.07 mg/kg) and fentanyl (0.7 μg/kg) were intravenously injected during LC. Substance P and 5-HT were detected by ELISA.

Results

Heart rate (HR), mean arterial pressure (MAP), and blood oxygen saturation (SpO2) were recorded. Visual analogue scale (VAS), Ramsay scores, and incidence rates of adverse reactions were recorded. The observation group was less prone to agitation, with less affected HR, MAP and SpO2 during recovery. Before and after extubation, and upon leaving the recovery room, substance P and 5-HT increased more slowly in the observation group. After extubation, the control group had higher VAS and Ramsay scores and a higher incidence rate of adverse reactions. Using oxycodone before the end of LC does not delay awakening or affect extubation, but reduces hemodynamic fluctuations, incidence of agitation and release of substance P and 5-HT. It has high safety and stable circulation during recovery.

Conclusions

Oxycodone used in PCIA after LC effectively mitigates postoperative pain, with milder adverse reactions, which is superior to fentanyl.
Demographic transition - Global population patterns and trends: The case of Albania
Authors: Kiri Lindita
Published: July 2023

The demographic transition means the transition from a traditional mode of demographic balance with high mortality and fertility, to a different mode of balance (modern) with low mortality and fertility throughout the course of the modernization of demographic processes. The demographic transition is associated with changing the indicators of population reproduction and the demographic balance regime. It is a process that the population of every country goes through. What is the demographic transition model based on historical stages? What are the global population trends? What are the characteristics of the demographic transition in Albania? The methods used in this manuscript are those of analysis, synthesis, comparison, etc. The demographic transition model has a global historical-geographical analysis value as it provides a global population assessment trend. The global population trend is towards the phenomenon of aging through decline or birth control and includes both central and semi-central countries. The analysis of the overpopulation in the territory has in essence the interventions by means of different measures to regulate the demographic regimes in function of the well-being of the population. In Albania, the transition has been accompanied by a large drop in births and high emigration. The time has come for this transition to be treated with priority as it affects the country’s economy and its perspective.
Hydrogeochemical characterization of the areas of exploitation of the CBG sites: cas of the plateaus of N'Dangara and Boundou Wandé, Sangarédi sub-prefecture, Prefecture of Boké, Republic of Guinea
Authors: Diallo Yaya Kenda Baïlo , Konaté Ahmed Amara
Published: July 2023

This work aims to analyze the quality of groundwater in the riparian areas of the bauxitic plateaus of N'Dangara and Boundou Wandé in operation by the CBG (Compagnie des Bauxites de Guinée). The geology of the study area consists mainly of sedimentary formations of the Devonian faro, Neogene and Quaternary. Three water measurement and sampling campaigns on the two plateaus were carried out with determination of piezometric measurements and physic-chemical parameters. This study showed that the general flow direction of groundwater is dispersed. The flows at Boundou Wandé are from the center of the plateau to the north and that at N'Dangara is from the center to the south and southwest. It can be seen that the direction of groundwater flow reflects overall the relief of the deposit conditioned by its geomorphological framework. It emerges from the analysis of physical and chemical parameters that well water is consumable. However, the water from wells MW15, MW16, MW17, MW18 and MW21 with a low pH (4.84 to 5.13) may present a certain nuisance for its consumption and because it can be corrosive. Analysis of the Piper diagram showed two hydrogeochemical facies (calcium and magnesium bicarbonate facies and sodium and potassium carbonate facies). However, this study strongly suggests continuous monitoring of groundwater in and around the study area in order to meet the demand for water supply to communities without compromising the ability of future generations to meet water quality requirements.
Natural Resources. Cycle of substances in nature. Implementation of ecological education and formation of ecological culture in the studies of “Man and Nature” and “Chemistry and Environmental Protection”
Authors: Vasileva-Tcankova Radostina Strahilova
Published: July 2023

Throughout a long historical period, the natural resources of the world have been managed by different human communities. Living within the boundaries of their own ecosystems forces people to develop a deep knowledge of managing their natural resources. Whether they and their children will survive directly depends on their behavior. People have given the land and natural resources a social and symbolic value that goes beyond their immediate use value. This symbolism is based on ecological principles and supports a system of ethical, social and economic rules that are adaptive. This means that these principles and rules help human communities prevent the overexploitation of natural resources, preserve their connections with the surrounding ecosystems, so that people can live within the limits imposed by the availability of resources and technology.

Over the course of the last few generations, however, the world's diversity of cultures, along with their adaptations to local environmental conditions, has been rapidly disintegrating under the influence of a new, global culture characterized by extremely high levels of consumption. Economic growth based on fossil fuel energy led to the rapid development of industry and international trade, and improved lifestyles as well as advances in health care led to rapid growth in human population and consumption. As a consequence, the search for new ways of extracting resources, involving powerful machines and efficient technologies, which absorb the traditions of conservation of nature built by local human communities during their long historical experience of survival, is intensified.

Mechanisms developed as adaptations to the environment over hundreds of years are rapidly breaking down as a result of globalization, thereby freeing humans from their traditional environmental constraints.
Education for sustainable development - analysis and findings
Authors: Doychinova Klaida
Published: July 2023

Education is defined as a major tool for raising awareness of the principles and functions of sustainable development. The problem of sustainable development, environmental and health education is subject to standards defining both content parameters in subject areas, overlapping integral fields, and options for implementation in pedagogical practice. The article presents an analysis of the problem of climate and energy efficiency, which is present only implicitly within the State educational standard for general education and curricula within the framework of the key competence common to all subjects - skills to support sustainable development and healthy lifestyle and sport.
Teaching methods based on constructivism in environmental education
Authors: Doychinova Klaida
Published: July 2023

The traditional educational paradigm is increasingly giving way to active learning and the various possibilities for its application, which methodological basis is constructivism. They are all part of integrative learning, expressed in the creation of sustainable interdisciplinary connections. Constructivism is associated with key competencies for lifelong learning, necessary for ensuring a sustainable and adaptable to changes educational environment. This in turn requires a change in the teaching model and the application of technologies and approaches adjusted to these changes in the learning process. Part of these methods, that are successfully applied in problem-based, ecological education is project-based, and cooperative learning.
The influence of percussion massage on knee’s range of motion in two positions
Authors: Klimowska Natalia , Jaskulski Karol , Zdrodowska Agnieszka
Published: July 2023

Study aim: The practical application of vibration stimuli is increasingly observed in physiotherapy and sports. The aim of the study was to investigate the effects of local vibration on knee-joint range of motion (ROM) improvement among male American football players.

Materials and methods: The study consisted of 31 participants (age 22.9 ± 4.3), divided by knee injury (KI) history and nKI (no knee injury). The intervention involved the use of vibration on parts of the quadriceps muscle with a 10-second vibration and 5-second intermission protocol. ROM measurements were conducted in the prone position (PrP) before the intervention, immediately after, and after 10 minutes, as well as in the half-kneeling position (HkP) before and immediately after.

Results: Knee ROM increased immediately after (p < 0.001) and 10 minutes after (p < 0.05) the intervention in nKI in the PrP, and there was a statistically significant improvement in the HkP (p < 0.001). There was no significant interaction between ROM in PrP and knee injury (F2,58 = 8.562; p < 0.001), but there were significant differences in the ROM before (KI: 133.9° ± 6.26°; nKI: 144° ± 4.06°), immediately after (KI: 137.3° ± 6.98°; nKI: 145.9° ± 4.64°), and 10 minutes after (KI: 136.7° ± 6.75°; nKI: 145.6° ± 4.5°) the intervention. There was no significant interaction between ROM measurement in HkP and knee injury. There was a statistically significant difference in ROM (F1,29 = 33.76; p < 0.001) before (KI: 141.4° ± 7.66°; nKI: 146.4° ± 7.17°) and immediately after (KI: 145.3° ± 8.22°; nKI: 150.2° ± 6.32°) the intervention in the HkP.

Conclusions: Local vibration may increase knee ROM by improving soft tissue elasticity.
An Overview on Advances in Injection Moulding Remanufacturing
Authors: Dimitriu Florin , Seghedin Neculai-Eugen , Chitariu Dragoş-Florin
Published: July 2023

The paper presents an overview of injection mold failures and alternatives in repairing these expensive tools. During the injection mold operations the main components are subjected to wear and require some form of repair. The typical defects of the components of the plastic injection moulds are cracks and the typical repair route is presented. Among the analyzed processes, namely TIG welding, plasma welding and laser welding, the laser welding process has a number of advantages that make it suitable for linear repairs, for small moulds and for face repairs. For each process a series of specific advantages but also slightly different fields of application are presented. The most advanced welding repair equipment uses ND: YAG laser technology and the main differences compared to TIG welding are presented.
Designing to Minimize the Influence of Stress Concentrators
Authors: Al-Kisswani Layth , Samara Fayez , Goanţă Viorel
Published: July 2023

In this paper, we will discover the importance of the stress calculation method with the help of finite elements in design. The aim is to reduce the stress concentration factor, and this is achieved by subjecting to analysis several 3D models that highlight different particular cases. It will be possible to observe different finite element analyzes for different bars with different stress concentrators. This way we can compare the different results obtained and we will be able to make a suitable decision in the case of a design calculation, choosing the most advantageous constructive solution.
Determination of Fatigue Crack Propagation Rate by Two Methods
Authors: Samara Fayez , Al-Kisswani Layth , Goanţă Viorel
Published: July 2023

In the paper are present a practical procedure involving the determination of crack propagation rate using da/dN software. The procedure of the tests, the presentation of the da/dN software and its operation, the hypothesis and the conditions of the experiment and the results obtained from the experiment were presented. The determination of the yield strength and elastic characteristics was used, in which the steps for carrying out an experiment in the laboratory were explained. This was carried out by choosing the materials, presenting the apparatus and the specimen to be analyzed, and the results obtained from the experiment. It should be mentioned that da/dN software was used to obtain the results. The paper illustrates the dependencies between crack growth and the number of loading cycles, demonstrated by two experimental methods. The theoretical part underlying the two experimental methods, the calculation relations used, the importance and role of the da/dN software in their realization are discussed, and the conclusions of the study are presented at the end.
Obtaining Metal Parts by Additive Manufacturing, as an Alternative to Traditional Manufacturing Methods – A Review
Authors: Dârlău Lucian-Corneliu
Published: July 2023

The advantages of Additive Manufacturing (AM) over conventional manufacturing processes are incontestable: complex geometries of obtained parts, wide variety of materials (polymers, composites, low melting metal alloys) used, simple and cost-effective process. Material Extrusion (ME) (piston, filament or screw) is the most widespread AM technology. In this paper, a comparative analysis of different materials used in high reinforcement 3D printing is made. Thus, ceramic and metallic composites, composites with titanium particles, AISI M2 high speed steel powder and Nickel 625 alloy are presented. The conclusion of each study is that increasing powder concentration (up to 65%, by volume) increases parts density (up to 90%), improves sintering process, but narrows process parameters. A balance between raw material properties and processing parameters must be sought to obtain custom parts with optimal properties.
A Study on the Influence of Thermal Interface Material in Passively Cooled Electrical Components with Attached Heatsink
Authors: Chiriac George-Gabriel , Dumitraş Cătălin Gabriel , Mertic Ionuţ
Published: July 2023

This paper studies the effect of the presence of a thermal interface material between a heat source and a heat sink. A heat sink is used as a passive cooling device for a thick film heating element used as a heat source. The heating element is fixed using 2 screws. The temperatures are measured in 2 scenarios: first, where the heating element is placed directly on the heat sink, and second, where a thermal pad is placed between the heat source and heat sink. Using a similar CAD model as the one tested and the same boundary conditions, finite element analysis were solved. The goal is to see if the finite element method delivers similar results as the measured ones and if the method is reliable in predicting the thermal behaviour of the electronic components. Temperature measurements show an improvement in heat source cooling when the thermal interface material is placed between the heat source and heating element. Also, the temperatures from the finite element analysis are similar to the measured ones, making the method reliable for similar applications.
Morphological Matrices Application in Case of Location-Positioning Devices with Tiltable Plate
Authors: Munteanu Adriana , Păduraru Emilian , Cioată Florentin , Ciobanu Mădălina
Published: July 2023

The analysis of the methods and devices of measuring and verifying the angular dimensions leads to the conclusion that technologies have been developed and can be further developed for the control of angles between flat surfaces, for the application of which existing control equipment can be used, as well as other types, solutions, variants of technological devices for controlling angular dimensions. This diversity is mainly due to the diversity of the parameters and parts to be controlled and the diversity of the technical systems in which the technological devices are integrated, respectively, their constructive and functional parameters. Morphological matrices are one of the most effective tools for structuring, systematizing, combining, and evaluating existing solutions in this specific field and, it aims to make the research activity more efficient, thanks to its creative potential. The present paper considers the solutions for location-positioning with tilting devices using morphological box and presents the main principial solutions to develop the proper constructive solution in this specific field. Both the spatial and the flat morphological matrix are taken into consideration.
Digital Business Incubators and Digital Entrepreneurship: The case of Digital Incubation Center in Qatar
Authors: Sonia Chetouane , Hania Chetouane
Published: July 2023

This study examines the role of digital business incubators, focusing specifically on the Qatar Digital Incubation Center (DIC), in fostering digital entrepreneurship. The methodology used is qualitative, employing content analysis to interpret textual and visual data from sources such as online databases, documents, reports, and academic research papers. International benchmark reports are used to assess Qatar's global ranking in research, development, innovation, and digital entrepreneurship. The findings highlight Qatar's commitment to digital transformation and its efforts to create a supportive ecosystem for entrepreneurship. They underscore Qatar's dedication to driving innovation through investments in telecommunications, information technology, education, and initiatives like the Qatar National Research Fund. Qatar's digital competitiveness is evident through its ICT infrastructure, extensive 5G implementation, and initiatives like the Smart Qatar Program. The DIC plays a pivotal role in supporting digital entrepreneurs by providing resources, mentorship, and a collaborative environment. By collaborating with government agencies, academic institutions, and industry partners, the DIC contributes to the growth and success of digital startups, fostering innovation, and positioning Qatar as a hub for digital entrepreneurship and technological innovation. This study provides valuable insights into the development of Qatar's digital entrepreneurship ecosystem and the significance of digital business incubators, including the DIC.
The impact of public debt on economic growth in Côte d'Ivoire: New evidence from linear and non-linear ARDL approaches
Authors: Saungwem Talknice , Maluleke Glenda , Odhiambo Nicholas M.
Published: July 2023

This study examines the symmetric and asymmetric impact of public debt on economic growth in Côte d'Ivoire using time series data from 1972 to 2021. The analyses were performed using both linear and nonlinear autoregressive distributed lag (ARDL) models. The study also utilised the bounds F-test for cointegration, the Brock-Dechert-Scheinkman (BDS) nonlinearity test, and the Wald test for asymmetries. The findings of the bounds F-test provide support for both linear and nonlinear cointegration. The BDS test results indicate that the series are nonlinear, while Wald test results revealed an asymmetric relationship between public debt and economic growth in Côte d'Ivoire in the short run and symmetric relationship in the long run. Estimation results for the symmetric ARDL regression model provide no evidence of a statistically significant impact of public debt on economic growth, regardless of whether the analysis was conducted in the short run or long run. The NARDL findings indicate that, on average, positive changes to public debt lead to economic decline in the long run, while negative changes cause an economic upturn in the short run. The findings also show that GDP growth responds rapidly and strongly to negative changes in public debt. Therefore, the study encourages the government of Côte d'Ivoire to be cautious about public debt rise because it was established that they have a negative impact on economic growth. Negative changes in the public debt can serve to minimise the uncertainties in the business environment, thus promoting private, public, and foreign direct investments.
The Effects of Poverty on Health Outcomes in Nigeria: An ARDL Approach
Authors: Abdulrahman Abdulganiyu Idris
Published: July 2023

There is no doubt that individual makes up a nation. Thus, as health is a crucial component of one’s welfare, access to good healthcare is a prerequisite to attaining long-term economic growth that is both sustainable and prosperous. This study looks at the impact of poverty on people’s health in Nigeria. A time series data spanning 29 years, from 1991 to 2021 was used for the study. This data was estimated using Auto Regressive Distributed Lag (ARDL). In order to simulate how poverty affects health outcomes in Nigeria, the study utilized mathematical models to determine whether Nigeria health results (CO2 emission, patients per physician, life expectancy rate, and poverty rate) responds to poverty shock. The study implies that, poverty shock has a big short-term influence on health outcome factors. The study suggested that in order to reduce high mortality rates government should focus more on improvement in health sector, particularly in the areas where there are less hospitals and basic healthcare facilities care is inadequate.
Re-Examining the Impact of Public Education Expenditure on South African Literacy
Authors: Muzekenyi Mike , Nyika Farai , Anyikwa Izunna , Kemda Lionel Establet
Published: July 2023

Much empirical literature has focused on investigating the role of government expenditure in promoting long-term economic growth in South Africa. However, few studies in comparison have considered the impact of government spending on literacy level in the country. To this end, this paper examines the impact of government spending on literacy rate in South Africa using an Autoregressive Distributed Lag (ARDL) model with annual time series data over the period from 1994 to 2021. The key findings of this study are: (a) there is evidence of a long run relationship between government spending on education and the literacy rate in South Africa; (b) while the long run effect of government education spending on literacy is not significant, there is a statistically significant positive effect in the short run. These findings have several implications for policymakers and other stakeholders. Therefore, the study recommends that increased monitoring and evaluation mechanisms are desirable in the primary and secondary education sectors for accountability and reducing wastage of taxpayer funds. The Department of Education is also encouraged to re-consider current teacher training practices and fill long standing vacancies in the school sector that negatively impact education outcomes.
Detecting abnormal behavior in megastore for intelligent surveillance through 3D deep convolutional model
Authors: Aquib Ansari Mohd. , Singh Dushyant Kumar , Singh Vibhav Prakash
Published: July 2023

The use of neural networks in a range of academic and scientific pursuits has introduced a great interest in modeling human behavior and activity patterns to recognize particular events. Various methods have so far been proposed for building expert vision systems to understand the scene and draw true semantic inferences from the observed dynamics. However, classifying abnormal or unusual activities in real-time video sequences is still challenging, as the details in video sequences have a time continuity constraint. A cost-effective approach is still demanding and so this work presents an advanced three-dimensional convolutional network (A3DConvNet) for detecting abnormal behavior of persons by analyzing their actions. The network proposed is 15 layers deep that uses 18 convolutional operations to effectively analyze the video contents and produces spatiotemporal features. The integrated dense layer uses these features for the efficient learning process and the softmax layer is used as the output layer for labeling the sequences. Additionally, we have created a dataset that carries video clips to represent abnormal behaviors of humans in megastores/shops, which is a consequent contribution of this paper. The dataset includes five complicated activities in the shops/megastores: normal, shoplifting, drinking, eating, and damaging. By analyzing human actions, the proposed algorithm produces an alert if anything like abnormalities is found. The extensive experiments performed on the synthesized dataset demonstrate the effectiveness of our method, with achieved accuracy of up to 90.90%.
Effective deep learning-based channel state estimation and signal detection for OFDM wireless systems
Authors: Hassan Hassan A. , Mohamed Mohamed A. , Essai Mohamed H. , Esmaiel Hamada , Mubarak Ahmed S. , Omer Osama A.
Published: July 2023

Deep learning (DL) algorithms can enhance wireless communication system efficiency and address numerous physical layer challenges. Channel state estimation (CSE) and signal detection (SD) are essential parts of improving the performance of an OFDM wireless system. In this context, we introduce a DL model as an effective alternative for implicit CSE and SD over Rayleigh fading channels in the OFDM wireless system. The DL model is based on the gated recurrent unit (GRU) neural network. The proposed DL GRU model is trained offline using the received OFDM signals related to the transmitted data symbols and added pilot symbols as inputs. Then, it is implemented online to accurately and directly detect the transmitted data. The experimental results using the metric parameter of symbol error rate show that, the proposed DL GRU-based CSE/SD provides superior performance compared with the traditional least square and minimum mean square error estimation methods. Also, the trained DL GRU model exceeds the existing DL channel estimators. Moreover, it provides the highest CSE/SD quality with fewer pilots, short/null cyclic prefixes, and without prior knowledge of the channel statistics. As a result, the proposed DL GRU model is a promising solution for CSE/SD in OFDM wireless communication systems.
On adding security to RLL - LDPC CCSDS codes without additional redundancy
Authors: Farkaš Peter
Published: July 2023

In this paper it is presented that security can be added to three RLL LDPC codes specified by the Consultative Committee for Space Data Systems codes without additional redundancy and if some round conditions are valid, this can be done without the necessity to change the encoding and decoding procedures. The concept for obtaining lightweight security could be of interest for space communication, for communication in IoT or other networks in which the nodes are resource constrained.
Pulse diffraction by a circular dielectric cylinder
Authors: Tabatadze Vasil , Drobakhin Oleg , Karaçuha Kamil
Published: July 2023

In this article, the periodic pulse diffraction from the circular dielectric object radiated by the horn antenna is investigated and experimental verification is provided. The pulse spectrum with Hamming weight function (Hamming window) form occupies the frequency band of 38 – 52 GHz. The problem is solved using the Method of Auxiliary Sources, and the results of the computer simulation are obtained. The fundamental advantage of the method is to eliminate the singularity problem during the solution of the integral equation obtained by boundary conditions on each scatterer. The comparison is done with the experimental data, which shows good agreement between the simulation outcomes and the experimental ones. The correctness of the determination of the electric size of the object by the analysis of the scattered pulse echo serves as the verification of the approach. The outcomes reveal that less than a 3% deviation is observed between numerical and experimental analysis.
Sensorless field-oriented control inverter of BLDC motor for copter
Authors: Rau Dávid , Vršanský Tomáš
Published: July 2023

This paper focuses on optimizing the propulsion system, specifically the control aspect. It presents the design of a sensorless inverter with field-oriented control for BLDC motors, primarily intended for copters. The theoretical part covers motor modeling and the design of the control structure, employing field-oriented control and a sensorless approach using back-electromotive force observer to estimate the rotor position. The physical implementation of the control system is based on an electronic inverter with two logical components. The control component utilizes a microprocessor for FOC control and incorporates memory, sensor systems, and peripherals. The power component ensures controlled energy transfer through complementary signals and feedback measurement. Communication between components and with the higher-level system, regarding control and configuration, is also addressed. Finally, the inverter underwent testing on a measurement platform and during copter flights. The measurements focused on motor speed estimation and control performance under load and no-load conditions. The assessment concludes with trust scaling and temperature measurements of the inverter.
Analysis of porous silicon structures using FTIR and Raman spectroscopy
Authors: Králik Martin , Kopani Martin
Published: July 2023

This work deals with the production of porous silicon samples by electrochemical etching method and their analysis using FTIR and Raman spectroscopy. Porous silicon samples were prepared under various conditions, such as etching time and current density. A p-type silicon substrate was used to prepare the porous silicon structures. FTIR spectroscopy was performed to determine the chemical bonds formed during the etching process. The structural properties of the prepared samples were investigated by Raman spectroscopy.
New design and optimization of an in-wheel permanent magnet motor with tangentially magnetized magnets and unequal stator teeth
Authors: Zaaraoui Lassaad , Mansouri Ali
Published: July 2023

Permanent magnet synchronous machines (PMSM) are competitive motors for in-wheel traction systems of electric vehicles. A new tangentially magnetized permanent magnets machine with outer rotor and unequal stator teeth for in-wheel motor application is proposed in this paper. The analytical calculations of the proposed topology are presented by determining the magnetic flux densities and the iron losses in all parts of the machine. The machine design is optimized using three state-of-the-art multiobjective algorithms which are AbYSS, MOCell and NMOPSO algorithms. Moreover, the optimization procedure is carried out according to three objectives: the maximization of the machine efficiency and the minimization of the mass and ripple torque. The optimization results showed that all the algorithms can find a set of optimal solutions and that the NMPSO algorithm outperforms the other two techniques. The finite element method (FEM) is used to investigate the optimization results. It is observed some magnetic saturation in the rotor yoke and the magnet’s extremes. The value of the induction in these machine regions is about 1.9 T. The comparison between the FEM and optimization results proved the rationality of the proposed optimization procedure.
Can a Vlogger Help to Build Brand Awareness? The Impact of Vloggers on Customers’ Attitude towards Brand Advertisement and Purchase Intention
Authors: Santiago Joanna Krywalski , Su Xiaolin
Published: July 2023

Objective

This study derives from the postulates of the theory of reasoned action (Fishbein & Ajzen, 1975) and the theory of planned behaviour (Ajzen, 1991) to explore the impact of vloggers on customers interested in beauty products. Particularly, this study examines whether the attitude toward vlogger’s recommendations impacts the attitude toward the brand advertisement, and what their influence on consumers’ purchase intention is.

Methodology

This study applies a cross-sectional mono method of quantitative analysis. The data collection was assisted with the use of survey by questionnaire built on Qualtrics and distributed in China. We use partial least squares structural equation modelling to analyse the data and test the proposed hypothesis.

Findings

Vloggers have a considerable impact on customer perceptions due to their proximity to customers who often portray vloggers as ‘friends’ and value their opinions. This study shows that it is not the perceived usefulness of shared information or vloggers trustworthiness that matter when forming the followers’ attitude towards vloggers, but more attention should be given to information quality and the perceived benefits of information derived from vlogs. The strongest relationship in this study showed to be the one between the attitude towards a vlogger and the attitude towards a brand, which emphasizes the importance that content creators can have in building brand awareness.

Value added

This article provides a clear picture on exploring the impact of vloggers on customer perceptions. The results of the research can be used to guide companies on how to use vloggers in their marketing campaigns.

Recommendations

Considering the growth of social media and the various forms of content available, the companies should know how to apply those new media in their marketing strategies. As the importance of traditional media seems to decline, mostly among younger generations, those new medias are growing, and their application brings new opportunities and challenges.
Exploring Diversity Management to Avoid Social Washing and Pinkwashing: Using Bibliometric Analysis to Shape Future Research Directions
Authors: Lanzalonga Federico , Chmet Federico , Petrolo Basilio , Brescia Valerio
Published: July 2023

Objectives

The Sustainable Development Goals (SDGs) have been a significant focus of environmental, social and governance sustainability research. Diversity management is one of the challenges faced by corporate governance in achieving SDG 4, 5, 8, and 10. However, rapid demographic changes in the global workforce create significant challenges for human resource development professionals when focusing on diversity management. This paper aims to define the different perspectives of diversity management to avoid sustainability distortions such as social washing and pinkwashing, which promote the perception that policies or products of a given company are socially responsible.

Methodology

The analysis of the existing literature can provide the information necessary to answer the research questions using rigorous scientific research methods. In the present study bibliometric analysis was used to enable a thorough and reliable analysis of knowledge on the topic and the identification of future progress. Bibliometric analysis was used to investigate the final pool of 126 peer-reviewed articles.

Findings

Contributions include advancing the understanding of diversity management, highlighting the dominance of communication bias, and strengthening the connection between social sustainability and the individual by identifying social exchange theory as a tool for explaining the ongoing changes in corporate governance.

Value added

The paper aims to answer research questions related to the journals relevant to the study of diversity management, the geographical structure of the research flow on diversity management, and the possible implications for future research on this topic.

Recommendations

In light of the clusters identified, it is recommended that forthcoming researchers explore the fitting theories that can be used to elucidate the phenomenon of diversity management. In addition, interdisciplinary research can facilitate a deeper understanding of issues concerning identity and gender, thereby enhancing the knowledge of diversity among managers. The paper recommends that future studies emphasize the differences in diversity management between national and multinational companies expanding the knowledge by conducting multiple case studies.
Danish Early Childhood Education and Care
Authors: Koch Anette Boye , rgensen Hanne Hede J
Published: July 2023

This special issue presents a selection of current research on Danish early childhood education and care (ECEC) aimed at an international audience. The Nordic tradition of child-centred, local and holistic pedagogy is dominant within the Danish educational culture, but the Danish pedagogical approach is the focus of an ongoing dialogue involving political preoccupations with ECEC quality and what is best for the children’s development and learning. Since 2004, Danish ECEC settings have been obliged to work on children’s learning based on a pedagogical curriculum organised around six previously established themes prepared at each local ECEC centre according to specific guidelines. In 2018, a more detailed description of the content of the curriculum and a common pedagogical foundation was introduced in a strengthened curriculum – partly because the previous curriculum led institutions too far away from the existing pedagogical culture. The strengthened curriculum points to key elements such as play, child-centredness, communities of children and a broad concept of learning – to constitute the understanding and approach to work on children’s well-being, learning, development and formation in ECEC. New research from Danish professionals is presented, revolving around key areas in the strengthened curriculum in order to invite further dialogue with international colleagues about children’s play, fun and well-being, quality cultures, children’s communities, transitions, aesthetics and vulnerability.