bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring the Reality of Poverty in East Nusa Tenggara, Indonesia. A Sociological Approach
Authors: Robertus Mirsel
Published: April 2024

This article discusses about poverty in East Nusa Tenggara Province, Indonesia from a sociological perspective. The aim is to find out the causes of poverty and the possible solutions. Using library research and qualitative approach, poverty is discussed and analyzed in order to explore aspects related to it. The findings indicate that poverty in East Nusa Tenggara is multidimensional in its indicators and causes. Three main causes of poverty are natural factors, human factors and structural factors. This study recommends that development in NTT be based on ethical and moral principles such as respect for human dignity, common good, sustainability, participation and cooperation, so that state administrators or public servants in NTT carry out their functions with full dedication and responsibility and avoid corrupt and exploitative behavior. Also, there is an urgent need to develop a “habitus” of bringing this issue into public sphere, in which people of every level in society can participate in public debates on how to overcome poverty in NTT by understanding its root-causes and strategies to solve the problem.
Patterns of Pig Farms in Fakfak District, West Papua Province, Indonesia
Authors: Hegemur Maria Safio , Supriyantono Andoyo , Monim Hanike , Widayati Trisiwi W. , Sambodo Priyo
Published: April 2024

In the lives of indigenous people in Papua, pigs are in first place as domesticated livestock. Keeping pigs is closely related to socio-cultural values ​​because they are used as matrimonial assets, determine social status, and are used in customary practices and cultural ceremonies. The study aims to find out the profile of farmers and their understanding of raising pigs. The research was conducted using a survey method on the population of pig farmers in Fakfak and Pariwari. Field data were collected from 20 pig farmers using a survey method based on a structured questionnaire. The data was tabulated and calculated using Minitab version 17 to get the mean and frequencies of each variable measured. The result showed that most of the farmers are of productive age with an education level of senior high school. The highest percentage of family members involved in raising pigs is 1-2 people per family. The pigs raised are Veredeld Duits Landvarkencross (VDL) breed pigs. Pigs are kept in pens made of stone walls. The feed given to pigs consists of tofu dregs, food stall waste, household waste, and forage (water spinach, sweet potato leaves, taro leaves). They are mated naturally with a litter size was only 3-4 per sow. They are healthy and growing well. In general, pig diseases that are often found are diarrhea, bloating, worms, and scabies. Raising pigs is only used as a side business for savings and sudden needs. Income is generated through the sale of live livestock (piglets or adult pigs) and pork.
Settlement Restructuring for Enhanced Socio-Economic Development in Ushongo Local Government Area, Benue State, Nigeria.
Authors: Kile Tracy Iveren , Onah Monday Akpegi , Enefu Joseph
Published: April 2024

The study examined settlement restructuring for enhanced socio-economic development in Ushongo L.G.A., Benue State, Nigeria. The study was focused on the relationship between settlement size and infrastructure availability; the impacts of settlement size on service availability; factors responsible for the prevailing settlement pattern in the study area; and how the settlement pattern has impacted on the development of Ushongo L.G.A. The methods adopted for the collection of data was the questionnaire, direct field observation as well as inventory taking. Results obtained from the field were presented using descriptive statistics in the form of simple percentages as well as graphs. Nearest Neighbour Analysis was also computed to determine the extent of settlement dispersal in the study area. Result obtained showed that a disperse settlement pattern prevailed in the study area. The result further revealed that settlement size has a positive significant relationship with the available services in the selected settlement in Ushongo L.G.A. A nearly perfect correlation coefficient was obtained and found to be significant at a confidence level of 0.05. Findings also revealed that 36.6% of the respondents opined that government neglect as well as the absence of communal living (34.7%) were the major reasons for the slow rate of socio-economic development in the study area. The study recommended approaches to restructuring settlements aimed at promoting both population concentration and a hierarchical organisation of functions within specific chosen areas. The study therefore, concluded that, determined that there is a substantial relationship between development and, focal living. Consequently, the study recommended that people in Ushongo L.G.A should be encouraged to settle in large concentrations so as to meet the required service threshold needed to provide infrastructure for a better day-to-day life of the people in the study area.
The coach’s Leadership role in cooperation with athletes
Authors: Lukács Anikó , Gősi Zsuzsanna
Published: April 2024

The primary task of the academic operation of a team sport is to train talented athletes who get to know the sport even at other sports organizations to become selected athletes in the U15 and older age groups of the sports academy, within the framework of its education and training program. The defining aspect of the educational work is the coaches' own perception of their role. The Leadership Scale for Sport (LSS), one online, self-completed standardized questionnaire research developed by Chelladurai and Saleh (1980) and repeated several times in the following decades searches for the answer to what behaviour do the coaches consider to be followed during their work. In addition to its academic tasks, the "Rátgéber Basketball Academy" Foundation also operates as a methodological centre. It serves as a model for other academies and clubs in the field of the work of age group coaches and the coordination of interdependent age group training. Therefore, the questionnaire was filled out by age group coaches of the academy. The range of respondents is complete. The results point to which groups of questions do the Academy's coaches share the same position on and in which situations do they show differences due to individual style.
French dual and practical training approaches
Authors: Merlo Christophe , Millet Antoine , Hernando-Gil Ignacio , Fischer Xavier
Published: April 2024

French regulations for dual training represent a very structured and strong framework for high education institutions that implement dual programs. They define the roles of each stakeholder, High Education Institution (HEI), companies, learners, as well as the financial and educational rules that govern the construction, the implementation and the exploitation of a dual program. This paper describes main French regulations; how they have been managed by an engineering school to implement bachelor and master programs, and how dual partners are integrated into lectures and evaluation processes through some examples.
Math-teur, a mathematical card game for (not only) fun
Authors: Végh Attila , Kelecsényi Klára , Osztényiné Krauczi Éva
Published: April 2024

We present the game Math-teur, a mathematical card game used successfully at the John von Neumann University for teaching remedial mathematics as part of a complex university catch-up program. In the paper we describe the game itself and summarize the considerations used for the game design.
Hogyan segíthetnek a fizikai kísérletek kisiskolás korban a környezetvédelem és a fenntarthatóság megértésében
Authors: Tóth Attila , Jurík Tünde
Published: April 2024

A tanulmány célja elsősorban megállapítani, hogy a pedagógusaink és a kutatóink egyáltalán tudatában vannak-e, hogy a visszafordíthatatlan folyamatok borotvaéles határán haladunk. Mikor billen egy folyamat a visszafordíthatóból a visszafordíthatatlanba? Megállapítottuk-e a maximális teherbíróképességét a Földnek? Elkéstünk vele? Még felállítható egy erkölcsi GPS? Hogyan lehet mindezt elmagyarázni, illetve milyen útmutatást kaphatnak már kisiskolás kortól kezdve? Bemutatunk néhány fizikai kísérletet, amelyek segítségével könnyebben érthető a környezetszennyezés, az árvizek és a légörvények keletkezése.
Hogyan érdemes nagy tömegű adatot importálni Microsoft .NET Framework platformon?
Authors: Kaczur Sándor , Friedel Attila
Published: April 2024

Üzleti alkalmazások fejlesztésénél elengedhetetlen alkotóelem az adatok kezelése, tárolása. Ezt leggyakrabban valamilyen relációs adatbázis-kezelővel valósítják meg a fejlesztők. A hétköznapi munka során gyakran előforduló feladat külső forrásból történő adatok átvétele, aktualizálása. A cikk szerzői arra a kérdésre keresik a választ, hogy hogyan érdemes ezen (néha igen tetemes mennyiségű) adatokat minél gyorsabban átvenni. A bemutatásra kerülő esettanulmány Microsoft .NET Framework segítségével, a platform által kínált adatbázis-kezelési lehetőségek közül válogat. A cikk összehasonlítja a nyelvben már régóta jelen lévő alacsony szintű SQL parancsokkal végzett megvalósítást a később beépített, de szintén elterjedt objektumrelációs modell keretrendszerrel (azaz az Entity Framework-kel) történő megvalósítással, majd elemzi a kapott eredményeket.
Érzékenységvizsgálat az építészeti tervezés támogatásában
Authors: Vincze Nándor , Storcz Tamás , Kistelegdi István , Ercsey Zsolt
Published: April 2024

Az Energia Design Synthesis (EDS) módszer részeként épületszimulációs adatbázis készült egy feladatosztály minden családi ház építészeti konfigurációjához. Ebben a cikkben az éves hőenergia-igény kibocsátási paramétert tekintjük. A kimeneti paraméter érzékenységvizsgálatának eredményeként azonosítjuk a legfontosabb bemeneti paramétereket, amelyek befolyásolják az épületek energiahatékonyságát, és amelyek támogathatják a további épülettervezést.
Képfeldolgozás alapú személy-számlálás beágyazott rendszerben
Authors: Kovács Tamás , Pásztor Attila
Published: April 2024

Ebben a munkában egy olyan képfeldolgozáson alapuló személy-számlálási megoldást mutatunk be, amely alkalmazható akár kis memóriával és számítási kapacitással rendelkező beágyazott rendszeren is. Az itt bemutatott módszer elsősorban beltérben, illetve nem túl gyorsan változó vizuális információ esetén alkalmazható, és azon alapul, hogy mozgásdetekciós eljárással elválasztjuk egymástól a lassan változó hátteret és a gyorsabban változó előtér objektumokat. A jelen munkában az eljárás használhatóságát felmérő első tesztek eredményeit mutatjuk be.
Using innovative devices in intermediate level of programming education
Authors: Szerémi Éva Krisztina , Pásztor Attila
Published: April 2024

Several Hungarian and foreign research and experiments have already proven the effectiveness of programming education supported by innovative devices. These experiments have largely focused on the beginning learning cycle. With our shortterm research we wanted to investigate whether the positive consequences of the use of these devices can be experience at the intermediate level of programming learning. In the framework of the course for second semester students BSc students in Computer Engineering at the John von Neumann University, they could try out the practical implementation of elementary programming theorems with programmable robots. The focus of our study was to investigate whether the tool-based form of teaching had a positive effect on the completion of the compulsory Algorithms subject. This study is the first step in a series of research studies.
Átlagok a gyakorlatban
Authors: Ország Adrienn , Sugár András
Published: April 2024

A cikk röviden összefoglalja a gyakorlatban használt átlagokat és azok általánosításait, kitér a gyakorlati alkalmazások feltételeire, valamint egy újfajta súlyozási módot is bemutat.
Készletezési modellek oktatása GeoGebrában
Authors: Nagyné Csóti Beáta , Kovács Edith Alice
Published: April 2024

A készletezési modellek fontos szerepet játszanak a gazdálkodásban. A cikkünk célja egy lehetséges módszertani utat mutatni ahhoz, hogy az alap determinisztikus EOQ modell által leírt folyamat vizualizációból kiindulva hogyan építhető fel, érthető meg, és vezethető be egy sztochasztikus elemekkel rendelkező modell, illetve hogyan érthető az meg szimuláció által. A bemutatott módszertan kihasználja a GeoGebra dinamikus matematikai szoftver lehetőségeit, ilyen módon nem csak az oktatásban játszik fontos szerepet, hanem szimulációk elkészítésével ipari felhasználók is tudják alkalmazni, ezért beépíthető a vállalati irányítási rendszerükbe. Cikkünkben ezt a tanítási/ tanulási utat bekapcsoljuk az EduBase által biztosított új generációs oktatási platformba.
Mesterséges intelligencia adatkészletek hatékony fordítása nyílt forrású technológiák segítségével
Authors: Cserkó József , Pásztor Attila
Published: April 2024

A Mesterséges Intelligencia (MI) egyre inkább megkerülhetetlen technológiává válik az utóbbi években és forradalmasítja az ipar, az oktatás és a magánélet különböző területeit. Ahhoz azonban, hogy megfelelő minőségű adatmodelleket készíthessünk, igen nagy mennyiségű adatra van szükség. Csak a megfelelő minőségű adatforrások birtokában lehet jó minőségű alkalmazásokat fejleszteni és kiaknázni az MI-ben rejlő teljes potenciált. Ezek az adatforrások használhatóak fel a modellek létrehozása és betanítása során, viszont igen nehéz jó minőségűeke találni. Jelentős probléma az, hogy a legtöbb adatforrás vagy adatkészlet angol nyelven érhető el. A cikk összefoglalja egy saját környezetben megvalósított fordító alkalmazás elkészítését. Vizsgálja az egyes architektúrák hatékonyságát és bemutatja a fejlesztési folyamat lépéseit és kihívásait is.
Személyek detektálása hőmátrix szenzorral és hierarchikus klaszterezéssel
Authors: Drenyovszki Rajmund , Zsupányi Krisztián
Published: April 2024

Az intelligens eszközök egyre fontosabb funkciója a jelenlét érzékelése és a személyek számának megállapítása. Kutatásunkban erre a célra egy iroda mennyezetén elhelyezett hőmérséklet mátrix érzékelőt használunk. A jelenlévő személyek számának meghatározásához egy küszöbérték alapú hierarchikus klaszterezési eljárást alkalmazunk, amely normál körülmények között nagyon megbízhatóvá teszi a sikeres észlelést.
Financial Literacy among Slovakian generations
Authors: Páldi Adam
Published: April 2024

This paper examines household financial literacy across X, Y, and Z generations in Slovakia. The aim of the study is to examine and build a proper picture of the current situation and differences among individuals in Slovakia. The base of the investigation is a questionnaire that is comparable with previous research results, the size of the respondent’s sample is 463. Using ANOVA test I find significant differences between the generations’ financial literacy. I believe that the work has achieved its aim and that further research can be carried out on the basis of the results.
Az IFRS aktuális kihívásai a Zwack-Unicum példáján keresztül
Authors: Hajnal Zsófia , Tessényi Judit
Published: April 2024

Az IFRS (International Financial Reporting Standards) alkalmazása egyre elterjedtebb világszerte. Ahhoz, hogy egy vállalat áttérjen az IFRS-re elő kell készíteni valamennyi folyamatot, beleértve főként az IT, HR, és pénzügy számviteli rendszert, hogy egyáltalán megfelelhessen a kritériumoknak. A vállalatoknak meg kell alapozniuk az adatokat a kezdeti áttéréshez, amihez az egyik legjelentősebb segítséget az IT rendszer fejlesztése teszi lehetővé. Ezek a befolyásoló tényezők évről évre változnak, fejlődnek, ami szintén a vállalatot segítheti. Mindemellett egy IFRS-re való áttérés akár több év készülést is jelenthet egy-egy vállalat számára. Tanulmányunkban a Zwack Unicum Nyrt. gyakorlati tapasztalataink keresztül SWOT analízissel mutatjuk be az átállást.
Smart government: role of e-government in local government
Authors: Abdul Wahi Nur Syuhaini
Published: April 2024

The concept of a smart city has become a popular topic among researchers over the last decades. The concept of e-government and smart city are interconnected with each other. E-government focuses on using information and communication technology (ICT) to provide better services. Similarly, a smart city also focuses on utilizing the data on a larger scale to foster innovation. This paper provides an overview and initial understanding of egovernment roles in the local authority in Malaysia. Local authority plays a prominent role in providing government services to the people in the cities and in realizing the smart city concept. This paper contributes to the existing literature on smart city and e-government by providing insight into the roles of e-government as a part of smart city projects.
Numeric structural analysis of high complexity steel frame structures
Authors: Piros Attila
Published: April 2024

In the case of a heavy machine, its framework contains many components. The numerical simulation of this complex structure requires serious computational background. This paper introduces the application of the top-down design methodology and geometric simplification to create a manageable computer model for FEA.
Síkalakváltozási nyomóvizsgálat alkalmazhatósága vékony lemezek esetén
Authors: Szőke Dániel Gyula , Kölüs Martin László , Borbély Richárd , Béres Gábor József
Published: April 2024

A folyásgörbék pontos ismerete a nagy alakváltozások tartományában fontos a képlékeny alakváltozással járó technológiák tervezése és alkalmazása során. E cél érdekében különböző folyásgörbe felvételi módszereket alkalmaznak, mint például a hidraulikus mélyítővizsgálat, a nyomóvizsgálat, a stósznyomóvizsgálat és a síkalakváltozási zömítővizsgálat. Ezek végrehajtását különböző tényezők nehezítik. A cikk témáját képző síkalakváltozási nyomópróbánál a kis szerszámszélesség okozhat nyírást, illetve nehezíti a szerszám pozícionálását. A munkánk célja megvizsgálni azt, hogy több lemezt egymásra helyezve a síkalakváltozási nyomópróba esetében, milyen törvényszerűségek szerint vehető fel a folyásgörbe. A vizsgálatok hidegen hengerelt ferrites szövetszerkezetű autóipari lemezeken (DC04) kerülnek elvégzésre. A kísérletek eredményei alapján kijelenthető, hogy a több lemez egymásra helyezésével mintegy tömbösített síkalakváltozási nyomópróba alkalmas a nagy alakváltozási tartományokat lefedő folyásgörbék felvételére.
A szerszáméltartamot befolyásoló tényezők nikkel-bázisú szuperötvözetek horonymarásakor
Authors: Kónya Gábor , Kovács Zsolt Ferenc , Takács János
Published: April 2024

Jelen publikációban a szerszáméltartamot befolyásoló tényezőket mutatjuk be, rendszerezzük és illesztjük Nikkelbázisú szuperötvözetekhez annak érdekében, hogy a kutatási célok egyértelműen meghatározhatók legyenek. Ehhez először feltárjuk a megmunkálandó alapanyag tulajdonságait, melyhez a többi tényezőt illeszteni tudjuk. Továbbiakban feltárjuk, hogy az adott területeken mások mit értek el, mik az előnyeik és meghatározásra kerülnek azon területek, melyeket vizsgálni kell.
Hagyományos és fémüveg transzformátorok mágnesezési karakterisztikáinak összehasonlítása
Authors: Kósa János Árpád , Mészáros Sándor
Published: April 2024

A feladat a Dunaújvárosi Egyetem által rendelkezésre bocsátott 2 db vasmag mágnesezési karakterisztikáinak felvétele volt. A karakterisztikákból kiolvashatjuk a permeabilitást, a telítési fluxust és a váltóáramú gerjesztés esetén fellépő veszteséget.
Mérőállomás tervezése és kivitelezése UV csövek öregedésének vizsgálatához
Authors: Csík Norbert , Sári Bence , Dömötör Zénó , Koszna Ferenc , Pásztor Attila
Published: April 2024

Az UVC csövek csírátlanító képessége működési élettartamuk első 4000 órája alatt jelentősen csökken. Sok forgalmazó emiatt mindössze az üzemóra alapján cseréli berendezéseiben a csöveket. A cső elhasználódása komplex folyamat, monitorozására több mérőszenzor is készült, a palást öregedésének feltérképezéséhez automatizált mérőpadot készítettünk, amit jelen cikkben mutatunk be.
Identifying Communities with Modularity Metric Using Louvain and Leiden Algorithms
Authors: Hairol Anuar Siti Haryanti , Abal Abas Zuraida , Md Yunos Norhazwani , Mukhtar Mohd Fariduddin , Setiadi Tedy , Shibghatullah Abdul Samad
Published: April 2024

Over the past 20 years, there has been a significant increase in publication in complex network analysis research, especially in community detection. Many methods were proposed to identify community structure. Each community identification algorithm has strengths and weaknesses due to the complexity of information. Among them, the optimisation methods are widely focused on. This paper focuses on an empirical study of two community detection algorithms based on agglomerative techniques using modularity metric: Louvain and Leiden. In this regard, the Louvain algorithm has been shown to produce a bad connection in the community and disconnected when executed iteratively. Therefore, the Leiden algorithm is designed to successively resolve the weaknesses. Performance comparisons between the two and their concept were summarised in detail, as well as the step-by-step learning process of the state-of-the-art algorithms. This study is important and beneficial to the future study of interdisciplinary data sciences of network analysis. First, it demonstrates that the Leiden method outperformed the Louvain algorithm in terms of modularity metric and running time. Second, the paper displays the use of these two algorithms on synthetic and real networks. The experiment was successful as it identified better performance, and future work is required to confirm and validate these findings.
Integrating Green Infrastructure Distribution and Green Corridor Mapping with Proposed Green Trail Area and Wildlife-Human Conflict Using Remote Sensing-GIS Approach
Authors: Misbari Syarifuddin , Anak Gisen Jacqueline Isabella , Mohd Rosli Nur Arissa Farhanis , Mohd Fauzi Amir Asyraf , Abu Bakar Aishah
Published: April 2024

Most people now prefer to live in cities, and the urban population has grown significantly. The decrement of urban green corridors causes an essential need for livability in highly populated areas. The needs of population health and sustainable city development are put under prolonged stress by the shortage of publicly accessible green infrastructure and its placement in inappropriate areas. The inventory of green corridor areas and the distribution of significant infrastructure are not fully understood, thus encouraging conflicts between residents and wildlife and increasing flood risk in their vicinity. Optical satellite images were required to (1) develop a green corridor (GC) map, (2) investigate the green infrastructure (GI) demand with the existing land use, and (3) propose new green trails (GT) in the Kuantan district using a geospatial approach. NDVI and site suitability analysis were carried out on Landsat OLI and Sentinel-2 MSI images, which were integrated with GIS tools to achieve all the objectives. A GC map has been developed, and five new proposed areas for GI development have been identified. Based on the results, 5 proposed green trails (3 long GTs, 2 short GTs) with a total length of 79.3 km are scattered in the Kuantan district at the most suitable site, identified using a geospatial approach. This study supports SDG 15: Life on Land, where green corridors reinforce biological connectivity, provide conducive space for high-populated areas, and minimize the negative impact of urbanization on the designed areas of GC, GI and GT in the developing city of Kuantan.
C-Slot Circular Polarized Antenna for Hybrid Energy Harvesting and Wireless Sensing
Authors: Mujahidin Irfan , Hidayat Sidiq Syamsul , Ardi Prabowo Muhamad Cahyo , Kitagawa Akio
Published: April 2024

This paper presents a new hybrid energy harvesting on electromagnetic solar for wireless energy harvesting of ambient from sensors of low-power devices. The axial ratio (AR) requirements produce Left-Hand Circular Polarization (LHCP) and Right-Hand Circular Polarization (RHCP) and simultaneously produce a 90-degree phase difference during energy harvesting, adopting a new design in designing a dual-feed broadband circular polarized (CP) antenna. To get the frequency band 2.3–2.4 GHz, we propose a C-Slot antenna with a circular patch dual feed. To estimate the diversity of the phase and magnitude output of the feed configuration under AR value, we used a 50 Ohm feed network output of the characteristic analysis for a dual feed CP antenna. An Axial ratio frequency range of less than 3 dB is achieved using polarization analysis with different branch channel couplers. To produce a DC output voltage, a high-frequency rectifier circuit embedded with a thin-film solar cell on the antenna is then connected to two T-junction power divider rectifiers, resulting in a high-efficiency design. A complete system-level analysis will include multiple signal classification methods of powered ambient RF energy using a wireless energy harvesting array that proposes a compact structure and demonstrates optimal configuration. Reliable operation in typical indoor environments indicates a self-contained sensor Node. Therefore, it has significant implications for powering small electronics and wireless sensor applications independently of the IoT Network or real implementation telecommunications industry.
Exploring the Impact of Emerging Educational Technology in MBA Programs: Enhancing Brand Equity through Virtual Reality
Authors: Arvind Mallik D. M. , Aithal P. S.
Published: April 2024

Purpose: The increasing emphasis on continuous development in student learning worldwide, particularly in the Digital Age, necessitates leveraging technology to enhance educational experiences. This research focuses on exploring the potential of virtual reality (VR) to transform MBA education, aiming to inspire innovative teaching methods that extend beyond conventional knowledge exchange.
Design/Methodology: Employing a mixed-methods approach, this study comprehensively examines the implementation and impact of VR-based learning experiences in MBA programs, Through surveys data is gathered from MBA students. This methodology enables a thorough evaluation of VR's effectiveness as a pedagogical tool in enhancing engagement, comprehension, and retention of MBA subjects
Findings: The study uncovers a range of advantages and challenges linked to the integration of VR technology in MBA education. On the one hand, VR offers immersive, interactive learning experiences that bolster comprehension and critical thinking skills. However, significant challenges persist, including the initial cost of VR implementation, ensuring technological accessibility for all students, and providing sufficient faculty training to effectively leverage VR in teaching.
Conclusion: This empirical study underscores the transformative potential of VR in enhancing MBA education. By providing immersive and interactive learning experiences, VR has the capacity to significantly enrich the learning journey of MBA students. VR shows promise in simulating complex business scenarios and bridging theory with real-world application.
Originality/Value-This research aims to inspire greater adoption of educational technology, enhancing MBA learning experiences and preparing students for success in the digital age.
Paper Type- Empirical Analysis
Evolution of mortality from the leading causes of death in Spain in the first two decades of the 21st century, according to population size and density of the place of residence
Authors:   , Moreno Lostao Almudena
Published: April 2024

Introduction: Various characteristics of place of residence such as rurality/urbanity or population density are related to population mortality. Knowledge of the magnitude and the evoluLon of mortality rates due to the main causes of death depending on the characteristics of the area of residence can be very helpful for correct social planning and decision-making in public health. Aim: To estimate the trend in mortality due to the main chronic diseases and external causes since the beginning of 21st century in Spain, according to the population size of municipality of residence and the population density of the province of residence. Methods The data on deaths and population by age and sex, based on the population size of the municipality of residence from 2003 to 2019 and the population density of the province of residence, were obtained from the National Institute of Statistics. Age-standardized mortality rates for all causes, major chronic diseases and external causes were calculated for three populaLon size categories -large urban areas, small urban areas, and rural areas- and for five categories of populaLon density in each year. Likewise, the annual percentage change (APC) in the mortality rate was esLmated using linear regression models, taking age-standardized mortality rates as the dependent variable. Finally, for each year the mortality rate raLo (MRR) was esLmated by taking large urban areas and the provinces with the highest populaLon density as a reference.
Magnitude of Diabetes Mellitus in Upper Gastrointestinal Hemorrhage
Authors: Moomal Bhutto  , Prem Kumar  , Nadeem Bajkani  , Shabana Lakho  , Chaman Das  , Dolat Singh
Published: April 2024

Objective: To determine the frequency of diabetes mellitus in patients presenting with upper gastrointestinal hemorrhage.

Methodology: This descriptive cross-sectional study was conducted at Department of Gastroenterology, Isra University Hospital, Hyderabad, from February, 2020 to August, 2020. All individuals aged 18 to 60 years, of both genders, and those experiencing upper gastrointestinal bleeding were enrolled. A 5ml blood sample was taken to evaluate the blood sugar level. DM was defined as fasting plasma glucose > 7 mmol/I (126 mg/dl), or 2 hours post prandial plasma glucose >11 mmol/I (200mg/dl). All the collected information was entered into the predesigned proforma. Data was analyzed using SPSS v. 23.0.

Results: The mean age was 42.1 ± 11.2 years, and the mean body mass index (BMI) was 26.4 ± 6.1 kg/m². Among 184 patients, 73 (39.7%) were male, and 111 (60.3%) were female. Diabetes mellitus was found in 21 (11.4%) patients. Stratification of age groups, gender, BMI, and socioeconomic status with DM among individuals with upper gastrointestinal hemorrhage found to be statistically insignificant (p >0.05).

Conclusion: Upon investigation of the prevalence of Diabetes Mellitus in cases of Upper Gastrointestinal Hemorrhage, notable results were found, revealing an observed incidence of DM at 11.4%. This emphasizes a significant presence of DM within this cohort, so prompt additional investigation into the connection between DM and Upper Gastrointestinal Hemorrhage are recommended.
INVESTIMENTO EM ENERGIAS RENOVÁVEIS E SEUS EFEITOS SOBRE O PIB BRASILEIRO (2002 - 2020)
Authors: Lourenço Kaio Matheus Souza , PEREIRA BRAGA FRANCISCO LAERCIO , Lopes Matheus Chaves , Silva Bruno Queiroz da
Published: April 2024

O crescente desenvolvimento tecnológico, alinhado ao aumento da densidade populacional, resultou em crises energéticas e levou os países a procurar adaptações com o uso das fontes de energias alternativas. O objetivo deste trabalho foi analisar os efeitos dos investimentos em energias renováveis (ER) sobre o PIB do Brasil entre 2002 e 2020. Em termos metodológicos, esta pesquisa caracteriza-se como quantitativa/exploratória e explicativa por meio da utilização da técnica de análise de regressão simples. Os resultados mostram que ocorreu crescimento de 235,85% nos investimentos em ER durante os anos de 2002 e 2020 e que esses investimentos em energias renováveis preveem a variação do PIB brasileiro, ou seja, o modelo consegue explicar 0,038% da variável dependente. Conclui-se que as fontes de ER têm impacto positivo no crescimento do país, embora seja, ainda, relativamente baixo.
STUDY OF THE STREET MARKET OF CASCAVEL-PR: FROM PRODUCERS’ AND CUSTOMERS’ PERSPECTIVE
Authors: Sequinel de Queiroz Susã , Maria de Grandi Adriana , Plein Clério
Published: April 2024

This study aims to analyze the working mechanism of a farmers market to estimate its potential for socio-productive and commercial inclusion compared to conventional retail chains. The article is characterized as a qualitative case study applied to the Feira do Pequeno Produtor (Small Farmers Street Market) in Cascavel, Paraná. As for the results, the farmers market in this study was able to demonstrate the socio- productive inclusion of family farmers through three main aspects: first, for being organized through the association of producers; second, because it counts on close and trusting relationships between the family farmers and the customers; and, third, for having solidary relationships among the participants. The street market has established itself as a space perceived by customers and producers in two of the five dimensions of the immersed markets.
Investigation of Maximum Mid-Span Displacement and Reaction Forces in Fiber-reinforced Concrete Beams subjected to Impact
Authors: Mahmoud Zena , Aldosary Muhannad , Al-Hadithi Abdulkader Ismail
Published: April 2024

Self-Compacting Fiber-Reinforced Concrete (SCFRC) is a specialized type of concrete that combines the properties of Self-Compacting Concrete (SCC) with the addition of fibers for reinforcement. SCFRC is designed to have excellent flowability and self-leveling characteristics while providing enhanced tensile strength, ductility, and crack resistance. This paper presents a discussion on the topic of SCFRC and the impact load behavior of SCFRC beams reinforced with Waste Plastic Fibers (WPFs). A comparison with reinforced concrete beams without fibers is also conducted. This study aims to predict the maximum mid-span displacement and the maximum reaction force of the fiber concrete beams under impact load. Twelve beams that represent the total adopted parameters were tested under impact loading. The beams were divided into three main groups according to the longitudinal steel ratio. The steel ratio was varied by using steel bars of 10, 8, and 6 mm diameter, with PET waste fibers with different volume ratios Vf% of 0, 0.5, 0.75, and 1%. The results showed that the use of beams is reinforced with ρmax, ρmax< ρ< ρmin, and ρmin having reduced maximum deflection by 24.23%, 35.9%, and 46.28%, respectively, when using WPFs with a volumetric value of 1%. This paper also covers work steps, model details, and the tests that were carried out on the specimens, which were made from materials available in local markets.
Sensorless Maximum Power Point Control for Single-stage Grid Connected PV Systems
Authors: Abbassi Mokhtar , Aouiti Abdelkarim , Bacha Faouzi
Published: April 2024

In this paper, a novel approach for implementing the maximum power point that could be generated from a photovoltaic (PV) panel while eliminating the need for current sensors through the application of the Hill Climbing algorithm is proposed. The active power generated by the PV panel is injected into the grid via a three-phase inverter using voltage-oriented voltage control with Spatial Vector Modulation (SVM). The developed strategy ensures minimal ripples for both active and reactive power and produces a sinusoidal alternating current waveform, even under varying lighting conditions. A comprehensive description of the adopted control strategy is provided and validated through numerical simulations conducted in MATLAB/Simulink environment. Furthermore, the performance of the proposed method is assessed by analyzing the simulation results. In an attempt to validate the effectiveness of the proposed approach, an implementation of the inverter control was conducted with the DSpace 1104 board, and the results underscored the feasibility and effectiveness of the employed approach for grid-connected PV systems.
Comparative Evaluation of Different Hybrid Intelligent Load-Frequency Controllers for Interconnected Electric Power Grids
Authors: Doan Diem-Vuong , Nguyen Ngoc-Khoat
Published: April 2024

Network frequency is considered to be one of the most crucial parameters that strongly affect the stability and economic achievements of interconnected electric power grids. System frequency usually fluctuates and deviates from the nominal values due to random and continuous load changes over time, affecting the electric equipment to significantly decrease efficiency and increase instability. A Load-Frequency Control (LFC) strategy has been proposed to solve this problem. This study compared several different control strategies, namely Fuzzy Particle Swarm Optimization (Fuzzy-PSO), Proportional Integral Derivative (PID), Fuzzy-PID, Fuzzy- Proportional Integral (PI), PSO-PI, and FPID to investigate the effectiveness of intelligent hybrid LFC controllers. The above controllers were simulated on a three-area interconnected power network with the participation of renewable energy sources. Taking into account different load cases, the Fuzzy-PSO-PID controller obtained frequency deviations in the range of 0.0015 to 0.002 Hz. The settling time was about 10 s to reach zero frequency error in each area. With the above controller quality parameters, the Fuzzy-PSO-PID controller provided better quality than the other controllers. A comparative numerical simulation in MATLAB/Simulink for various load change scenarios revealed the effectiveness of hybrid smart controllers, such as the Fuzzy-PID-PSO, outperforming the traditional ones.
A Survey on the Latest Intrusion Detection Datasets for Software Defined Networking Environments
Authors: Khalid Harman Yousif Ibrahim , Aldabagh Najla Badie Ibrahim
Published: April 2024

Software Defined Networking (SDN) threats make network components vulnerable to cyber-attacks, creating obstacles for new model development that necessitate innovative security countermeasures, like Intrusion Detection Systems (IDSs). The centralized SDN controller, which has global view and control over the whole network and the availability of processing and storing capabilities, makes the deployment of artificial intelligence-based IDS in controllers a hot topic in the research community to resolve security issues. In order to develop effective AI-based IDSs in an SDN environment, there must be a high-quality dataset for training the model to offer effective and accurate attack prediction. There are some intrusion detection datasets used by researchers, but those datasets are either outdated or incompatible with the SDN environment. In this survey, an overview of the published work was conducted using the InSDN dataset from 2020 to 2023. Also, research challenges and future work for further research on IDS issues when deployed in an SDN environment are discussed, particularly when employing machine learning and deep learning models. Moreover, possible solutions for each issue are provided to help the researchers carry out and develop new methods of secure SDN.
Extraction of Solar Module Parameters using a Novel Optimization Technique
Authors: Ahmed Hossam E. , Mesalam Yehya I. , Shaaban Shaaban M.
Published: April 2024

The parameters of a Photovoltaic (PV) model are pivotal in gauging its efficiency under varying sunlight irradiances, temperatures, and different load scenarios. Determining these PV model parameters poses a complex non-linear optimization challenge. This study is based on a new metaheuristic optimization algorithm called the Pelican Optimization Algorithm (POA) to discern the unknown parameters of the PV model. The suggested POA algorithm underwent testing using a monocrystalline panel, encompassing its single-diode configuration. The objective function is designed to minimize the root of the mean squared errors between the predicted and actual current values, adhering to specific parameter constraints. Various statistical error metrics were utilized to emphasize the performance of the proposed algorithm. A comparative analysis with other well-established algorithms was conducted, indicating that POA stands out as highly competitive since it showcases superior efficiency in parameter identification compared to its counterparts.
Building Information Modeling (BIM) for Construction Project Schedule Management: A Review
Authors: Nguyen Tuan Anh , Nguyen Tu Anh , Tran The Van
Published: April 2024

Nowadays, the implementation and application of the BIM process in construction project management is a pressing need. This aligns with the global development trends in the construction sector and project information management in general. Numerous scholars and companies are actively engaged in learning, understanding, and investigating various aspects of BIM to stay up-to-date and meet the inevitable developmental requirements. This study focuses on the role and application of BIM, intending to identify limitations that hinder its fulfillment of expectations in project schedule management. In addition, it explores studies that show how other countries have effectively employed BIM in project management and progress tracking throughout the project lifecycle. The study aims to address three main objectives: (a) comprehensively examine and provide evidence related to the concept of BIM in project schedule management, (b) present the benefits of applying BIM in comparison to traditional methods in project management and operation, and (c) identify limitations stemming from various factors that may pose challenges in the application of BIM in project schedule management.
Research Influence of Flux Air Gaps on Electromagetic Components of Shunt Reactors
Authors: Dung Dang Chi , Bao Doan Thanh , Nam Phan Hoai , Tu Pham Minh , Quoc Vuong Dang
Published: April 2024

This paper introduces an evaluation of the flux air gaps of Shunt Reactors (SRs) to effectively mitigate fringing and leakage fluxes along the height of the iron core. The assessment of these discretely distributed flux air gaps in SRs is a rigorous and challenging process. To define their exact number, the case of one flux air gap is analyzed and investigated to observe/simulate the influence of the flux density distribution and the leakage flux along the air gaps on the reactive power and the operation conditions of the SR. Based on that, to reduce leakage flux, a large flux air gap is divided into smaller ones. Initially, an analytic model is presented to define the main parameters of the SRs. Then, a finite element method is developed to simulate electromagnetic quantities, such as the magnetic flux density, leakage flux, and electromagnetic force. The obtained results can help manufacturers define the exact number of flux air gaps along the iron core of the SR. From that, a suitable technology can be given in manufacturing high voltage SRs applied to high or super high voltage transmission lines.
An IoT Smart System for Cold Supply Chain Storage and Transportation Μanagement
Authors: Alshdadi Abdulrahman , Kamel Souad , Alsolami Eesa , Lytras Miltiadis D. , Boubaker Sahbi
Published: April 2024

Cold supply chains are becoming more and more attractive due to the high demand induced by increased consumption. To fulfill standards and customers’ requirements regarding the conditions under which cold supply chain products (mainly foods and pharmaceuticals) are stored (in warehouses) and transported to the end-users, tracking those conditions is a necessity. To ensure a high level of visibility, fostering emerging technologies can improve the quality of service in supply chains in terms of delivery time, cost, and quality. In this paper, a global framework for monitoring the conditions of storage and transportation of cold products across the whole supply chain is designed and implemented practically. The proposed solution is built around low-cost and low-energy consumption devices such as sensors and microcontrollers which are connected to cloud storage to allow a high level of visibility in the supply chain allowing all parties, including the end-consumers, to follow the products during their transfer, providing a conceptual framework that monitors the performance on a real-time basis and enhances decision making. A prototype using an embedded temperature/humidity sensor, a tiny microcontroller equipped with a Wi-Fi connectivity device, and a mobile 4G/5G network is designed and implemented. The proposed system is connected to a cloud-storage platform continuously accessible by the main parties of the cold supply chain including the provider, the transporter, and the end-consumer. The proposed framework may be handled as a smart contract during which any party can assume its responsibility for the assurance of the best conditions of the supply chain operation. A small-scale real-life scenario conducted in Jeddah City, Saudi Arabia is introduced to show the feasibility of the proposed framework.
Experimental Study of the Flame Retardancy of PMMA-Graphene Composite Materials
Authors: Al-Jarrah Jawdat Abdallah , Rbeht Diana , Al-Waqfi Mohammed S. El-Ali , Al-Jahmany Yarub
Published: April 2024

In this paper, Polymethyl methacrylate (PMMA)-graphene nano-composites were prepared and tested with the use of a cone calorimeter. Graphene was added to PMMA in limited weight percentages to improve the flame retardancy of PMMA. Two samples of PMMA-graphene, namely 1 and 3 wt%, were investigated. The combustion properties of the tested samples of PMMA-graphene composites, mass loss rate, heat release rate, and time to ignition were measured and calculated. It was found that the peak heat release rate of PMMA-graphene composites reduced by 17% when 3 wt% graphene was added to pure PMMA. Adding graphene to PMMA improves the thermal stability of PMMA by reducing the time of ignition. Also, the presence of graphene enhanced the formation of a continuous carbonized layer at the surface of the burned PMMA.
Exploring the Mechanical Behavior of Concrete enhanced with Fibers derived from recycled Plastic Bottles
Authors: Abdulateef Lana Ayad , Hassan Sara Hikmat , Ahmed Ahmed Mohamed
Published: April 2024

The increasing issue of plastic waste has become detrimental to human society, particularly with the increase in disposable plastic bottles in many countries. This study investigates the impact of incorporating plastic bottle waste fibers on the slump, density, compressive strength, split tensile strength, and flexural strength of concrete. This material was selected for its cost-effectiveness and wide availability, addressing the prevalent global concern of environmental pollution resulting from inadequate waste management practices. This study describes a systematic plan to fabricate and test cubes, cylinders, and beams using Fiber-Reinforced Concrete (FRC). A comparative analysis was performed between concrete reinforced with plastic bottle waste fibers, in varying ratios of 1, 2, and 3%, and plain concrete. The results showed a positive impact on concrete strength with fiber addition, although at the expense of reduced workability and decreased concrete density. In particular, a significant improvement in the ductility of the concrete was observed. The analysis shows that a fiber ratio of 2% emerges as the most optimal dosage to achieve improved concrete properties. This study provides valuable insights into the imperative pursuit of sustainable concrete production and the environmental challenges posed by plastic waste.