bluuebunny/crossref_metadata_2025 huggingface dataset:
STUDY OF FACTORS AFFECTING COMMUNITY INTEREST IN USING TRANSPORTATION CV. MANDIRI RAYA TRAVEL
Authors: Didis  , Whendy Trissan
Published: October 2022

This research was motivated by the development of the City of Palangka Raya which has caused a fairly basic change, where the City of Palangka Raya apart from being a destination for students to seek knowledge is also known to be a place for people from various regions to find work, this has resulted in the city which is known as a beautiful city, is in the spotlight for researchers to examine social problems related to the diversity of the surrounding community. One of them is the existence of a CV. Mandiri Raya Travel in the city of Palangka Raya which is able to make people more interested in using it. The population in this study are people who use CV. Mandiri Raya Travel transportation. The samples taken were 100 people. The data analysis method used in this study is Multiple Linear Regression Analysis, where previously the validity, reliability and classical assumptions were tested. The results of this study indicate that the physical condition of the Travel Fleet has a positive and significant influence on people's interest in using Mandiri Raya Travel, the service has a positive and significant influence on people's interest in using Mandiri Raya Travel, and ticket prices/costs also have a positive and significant influence on public interest. using Mandiri Raya Travel
Study of the Vibrations of Some Composite Bars with Polypropylene Honeycomb Core and Carbon Fiber and Fiberglass Fabric Faces
Authors: Bolcu Alexandru , Stanescu Marius Marinel , Bolcu Dumitru , Ciuca Ion , Bogdan Mihaela , Dinita Alin , Sarbu Nicolae
Published: October 2022

The paper generalizes the Timoshenko model for thick bars, using a new model that is applied to the vibration study of multilayer composite bars. In the proposed mathematical model, three coefficients are introduced that take into account the non-uniformities of the tangential and normal stresses in the bar section. The vibrations of some composite bars with a polypropylene honeycomb core with a thickness of 10 mm, 15 mm and 20 mm are experimentally studied, on the faces of which one or two layers of carbon fiber, respectively glass fiber was poured. For each analysed bar, the stiffness and the equivalent modulus of elasticity are determined and the variation of the damping coefficient according to the length of the bar is studied.
High-density Polyethylene - Expanded Perlite Composites: Structural Oriented Analysis of Mechanical and Thermomechanical Properties
Authors: Barczewski Mateusz , Hejna Aleksander , Kosmela Paulina , Mysiukiewicz Olga , Piasecki Adam , Sa�asi�ska Kamila
Published: October 2022

As part of this work, research was carried out on the effect of the addition of expanded perlite (PR) on the mechanical and thermomechanical properties of high-density polyethylene (PE) composites. Composites containing from 1 to 10 wt% of the inorganic filler were produced. Polyethylene-based composites manufactured by twin-screw extrusion and formed in the compression molding process were subjected to mechanical, thermomechanical, and structural analyses. The structure of polymer composites and filler was analyzed using scanning electron microscopy (SEM). It has been correlated with the static tensile tests and results of dynamic thermomechanical analysis (DMA). As part of the work, several thermomechanical parameters were calculated, and the obtained results were discussed with the evaluation of interfacial adhesion based on microscopic analysis. The research showed that despite introducing a 10 wt% of particle-shaped filler, the composites show increased stiffness without noticeable deterioration in tensile strength, simultaneously reducing toughness and brittleness. The analysis of the thermomechanical properties showed the lack of significant effects of the filler influence on the polymer matrix.
Effect of Certain Hydrocarbon Compounds on High-density Polyethylene Water Pipes
Authors: Rezakalla Antypas Imad , Gennadyevech Dyachenko Alexey
Published: October 2022

Plastic pipes are being more widely used in various industries, as they combine both a rather light weight and quite high physical mechanical performance characteristics. The present article materials are devoted to the researches, relating to the determination of the various hydrocarbon compounds effect on some mechanical properties reduction degree of samples cut from HDPE pipes, represented by characteristic values of curves (strength - tensile strain) as an absorption result. In the course of the research, the gasoline presence in material structure of the pipe samples was noted to make the process unstable, and the curves representing a change in the characteristic values under study, depending on the immersion time in diesel fuel, tended to decrease throughout the entire immersion period. The experiments have shown that in the study of samples absorbing capacity a full saturation was obtained when immersed in diesel fuel and, despite large difference in absorbance values, the volume of absorbed hydrocarbons caused decline close to the studied characteristic values. Motor oils produced the most significant effect on the HDPE samples studied characteristics at the relatively low absorption values.
Evaluation of Thermal and Thermo-mechanic Properties of Composites Based on Styrene-butadiene Copolymer (SBS)-seed Shell Particles
Authors: Salazar-Cruz Beatriz Adriana , León-Almazán Claudia María De , Ramos-Galván Claudia Esmeralda , Estrada-Martínez Jorge , Rivera-Armenta José Luis
Published: October 2022

Nowadays, the use of agricultural wastes is a high impact research area, due the fact that this kind of materials can provide some interesting properties to a polymer matrix. Among these materials, the seed shell are materials with no industrial applications, so it is necessary to find a use in the aim to avoid the pollution. The Styrene-butadiene copolymer (SBS) is a wide used material due it thermoplastic behavior. In present work, the inclusion of two different species of seed shell particles: (jatropha curcas seed particles (JCSP) and pistachio (PSP)) into a Styrene-butadiene copolymer (SBS) and their effect on the thermal behavior of the resulting composites have been studied. The composites were prepared by melting fussion process at different concentrations ranging from 2 to 10 phr (parts per hounded of resin). The obtained composites were characterized by means of Thermogravimetric analysis (TGA), Dynamic Mechanical Analysis (DMA) and infrared Spectroscopy (FTIR).
On the distribution of Athaumasta miltina (Püngeler) in Southeast Kazakhstan (Lepidoptera: Noctuidae: Bryophilinae)
Authors: Volynkin Anton V. , Titov Sergey V.
Published: October 2022

Data on the distribution of Athaumasta miltina (Püngeler, 1902) in Northern Tien Shan in Kazakhstan is provided. Adults, male genitalia, habitats and a distribution map of the species in Kazakhstan are illustrated. The synonymy of the genus-group names is revised: Athaumasta Hampson, 1906 = Oederemia Hampson, 1908, stat. rev.
The Intricacies of Research in Human Sexuality
Authors: Rokach Ami
Published: October 2022

Research in sexuality is relatively new and has faced various obstacles, social frowning, and academic rejection. This paper reviews the early days of sexuality, the church’s negative view of it, and how it progressed to the 21st century. Sex research is then described and the various methodological issues reviewed. In addition, research on sexuality and alcoholism, sexuality in children, and conducting qualitative research on sexual issues is described.
Pre-Service Teachers Ideas and Misconceptions about the Nutrition, Reproduction and Importance of Plants: A Case Study in Spain
Authors: Fernandez-Diaz Manuel
Published: October 2022

Science education encounters a number of obstacles to its progression. Among them are preconceptions or misconceptions, which can be persistent even among teachers. In order to find out what are these preconceptions o misconceptions about plants of future primary school teachers, the present research was carried out. A questionnaire was used during three academic years to collect information from pre-service teachers. Among the results, incomplete knowledge of plant biology and serious errors in relation to plant nutrition stand out. This seems to indicate the need to change traditional methodologies and use other active methodologies that allow future teachers to have real contact with the living beings in their environment.
Carob Antioxidants in Human Health: From Traditional Uses to Modern Pharmacology
Authors: Azab Abdullatif
Published: October 2022

Carob has been used by humans since antiquity. Its major use is food, but traditional medicines of many nations used it for treatments of various health disorders. The fruits (pods or kibbles) were the main source for nutrition and medicinal uses, but decoctions and extracts were prepared from other parts of the tree, especially leaves. Modern science has analyzed most of the chemical compositions of the different parts, and among the phytochemicals that were found, antioxidants play very important roles in Carob nutritional and medicinal activities. So, in addition to having strong antioxidant activity and due to it, these natural products, their extracts, and foods that contain them, have anticancer, neuroprotective, hepatoprotective, antiaging, skin care, antidiabetic, and others. Phenolics and carbohydrates are the strongest antioxidants, but some volatile compounds have the same activity, to some extent. However, this review will present Carob antioxidants, their major nutritional and medicinal activities, and suggest future horizons for their use in human wellbeing.
A simulation study to compare reference and other priors in the case of a standard univariate Student t-distribution
Authors: van der Merwe A. J. , von Maltitz M. J. , Meyer J. H. , Groenewald P. C. N.
Published: October 2022

In this paper, reference and probability-matching priors are derived for the univariate Student t-distribution. These priors generally lead to procedures with properties frequentists can relate to while still retaining Bayes validity. The priors are tested by performing simulation studies. The focus is on the relative mean squared error from the posterior median and on the frequentist coverage of the 95% credibility intervals for a sample of size n = 30. Average interval lengths of the credibility intervals as well as the modes of the interval lengths based on 2 000 simulations are also considered. The performance of the priors is also tested on real data, namely daily logarithmic returns of IBM stocks. Keywords: Coverage percentages, Credibility intervals, Log-returns, Mean squared error, Probability-matching prior, Reference priors
Community-Based Tourism In Improving Community Welfare In Wanagiri Village, Sukasada District, Buleleng Regency
Authors: NUGRAHA I Gede Putra , ATIDIRA Rahutama , AGUSTINA Made Dian Putri
Published: October 2022

This study aims to determine the effect of community participation on the welfare of the community through the quality of the destination. In this study, the population to be studied is the people who are directly involved in tourism activities and have an economic relationship with tourism activities in Wanagiri Village. The analytical technique used in this research is path analysis. The results of this study found that community participation had a positive but not significant effect on community welfare in Wanagiri Village, community participation had a positive and significant effect on destination quality in Wanagiri Village, destination quality had a positive and significant effect on community welfare in Wanagiri Village, community participation had an indirect effect. directly to the welfare of the community through the quality of consumer destinations in Wanagiri Village, community participation has an indirect effect on the welfare of the community through the quality of consumer destinations in Wanagiri Village.
Post-Covid-19 Tourism In Bali: The Economy And Eco-Tourism
Authors: LARASDIPUTRA Gde Deny , JAYAWARSA A.A. Ketut , DARMAWAN Nyoman Ari Surya
Published: October 2022

The Covid-19 pandemic has spread and spread globally no less than 218 countries have been exposed, including Indonesia. Tourism is one of the sectors most affected by the Covid-19 pandemic. This pandemic has forced the country to carry out social restrictions and prohibit tourist visits between regions and from abroad. The real impact that can be seen is that workers in this sector experience a decrease in income, for this reason it is necessary to know the condition of tourism after the pandemic in Bali. In this study using a narrative review method. The result is that the development of tourist villages has contributed to community empowerment as tourism actors. Tourism and culture is an activity of exchanging information and symbols contained in it, such as traditions, arts, food, and other identities contained in the place to be enjoyed by every tourist. The Bali Provincial Government issued a strategic policy in the form of Bali Governor Regulation Number 99 of 2018 concerning Marketing and Utilization of Agricultural Products, Fisheries and Local Bali Industries.
Assessment of in vitro biofilm forming by Pseudomonas aeruginosa and Staphylococcus aureus isolated from bladder catheters of hospitalized patients in Medea (Algeria) and efficacy of antiseptics and antibiotics as antibacterial agents
Authors: ZERGOUG Amina , Abla Belaidi  , Chaimaa Belhadj
Published: October 2022

Both Pseudomonas aeruginosa and Staphylococcus aureus have the ability of forming biofilms and are prominent causes of medical device and implant-related infections. The purpose of this study was to assess the potential of clinical isolates of P. aeruginosa and S. aureus isolated from bladder catheters to produce biofilms. Conventional microbiological techniques were used to identify 26 and 24 clinical isolates of P. aeruginosa and S. aureus, respectively, from catheters retrieved from different services (Internal Medicine, Medical and surgical emergency, Postoperative, ENT, Traumatology, Surgery, and Maternity) of public establishment of Medea (Algeria). These strains were evaluated for biofilm development using a microtiter plate assay. According to the CRA test, 69.23% of P.aeruginosa strains and 41.66% of S.aureus strains were likely to create slime, indicating biofilm-producing bacteria. TCP method demonstrated that 30.76% of P. aeruginosa and 41.66% of S. aureus isolates had the potential to create slime. In contrast, no biofilm was developed when povidone was present. It is essential to test for biofilm formation in response to an external limitation, such as antiseptics and antibiotics, so as to create novel strategies for combating bacterial biofilms and better controlling their formation.
ELECTRONIC ROAD TOLL SYSTEM AND ITS INSTALLATION ON LITHUANIAN ROADS
Authors: Kubertavičius Lukas , Čygas Donatas
Published: October 2022

For the use of the national highway network of Lithuania, freight vehicles pay a fee of a fixed amount using the system of purchasing electronic vignettes (hereinafter referred to as e. vignettes). The tax is paid for a certain period (day, week, month, or year) regardless of the distance traveled by vehicles. Such a taxation model does not value the “polluter pays” principle enshrined in EU legislation and does not allow covering the damage caused by freight vehicles to the road infrastructure. Road maintenance and development program financing law no. VIII-2032 by the law on the amendment of articles 2, 6, 9 and appendices 2, 5, VĮ Lithuanian Road Directorate until 2023 must develop and implement an electronic road toll system that should replace the currently used e. vignettes. The article presents the currently tolled road network of Lithuania, the financial impact on the companies providing transportation services after the introduction of the electronic road toll system. The road toll systems operating in European countries and Lithuania and their operating technologies, marginal tariffs are analyzed, and a methodology is proposed, based on which it would be possible to fill in the list of currently tolled roads. A company providing cargo transportation services has been selected, and it has been determined how the amount of paid taxes will change after the implementation of the electronic road toll system on Lithuanian roads. It has been determined that after the introduction of EKRS for companies providing transportation services that carry out long-distance transport in Lithuania, the amount of taxes paid for using state roads will increase significantly.
The Giant Metrewave Radio Telescope Cold-Hi AT z ≈ 1 Survey
Authors: Chowdhury Aditya , Kanekar Nissim , Chengalur Jayaram N.
Published: October 2022

We describe the design, data analysis, and basic results of the Giant Metrewave Radio Telescope Cold-Hi AT z ≈ 1 (GMRT-CATz1) survey, a 510 hr upgraded GMRT Hi 21 cm emission survey of galaxies at z = 0.74−1.45 in the DEEP2 survey fields. The GMRT-CAT z1 survey is aimed at characterizing Hi in galaxies during and just after the epoch of peak star formation activity in the universe, a key epoch in galaxy evolution. We obtained high-quality Hi 21 cm spectra for 11,419 blue star-forming galaxies at z = 0.74−1.45, in seven pointings on the DEEP2 subfields. We detect the stacked Hi 21 cm emission signal of the 11,419 star-forming galaxies, which have an average stellar mass of M
* ≈ 1010
M
⊙, at 7.1σ statistical significance, obtaining an average Hi mass of 〈M
H i
〉 = (13.7 ± 1.9) × 109
M
⊙. This is significantly higher than the average Hi mass of 〈M
H i
〉 = (3.96 ± 0.17) × 109
M
⊙ in star-forming galaxies at z ≈ 0 with an identical stellar-mass distribution. We stack the rest-frame 1.4 GHz continuum emission of our 11,419 galaxies to infer an average star formation rate (SFR) of 8.07 ± 0.82 M
⊙ yr−1. Combining our average Hi mass and average SFR estimates yields an Hi depletion timescale of 1.70 ± 0.29 Gyr, for star-forming galaxies at z ≈ 1, ≈3 times lower than that of local galaxies. We thus find that, although main-sequence galaxies at z ≈ 1 have a high Hi mass, their short Hi depletion timescale is likely to cause quenching of their star formation activity in the absence of rapid gas accretion from the circumgalactic medium.
Detectability of Rotational Modulation in Kepler Sun-like Stars as a Function of Age
Authors: Masuda Kento
Published: October 2022

We examine how the fraction f of stars for which rotational modulation has been detected in Kepler light curves depends on the stellar mass M
⋆ and age t
⋆. Our sample consists of ≈850 FGK stars hosting transiting planet candidates detected from the prime Kepler mission. For these stars, atmospheric parameters have been derived using high-resolution spectra from the California-Kepler survey, and rotational modulation has been searched in Kepler light curves homogeneously. We fit stellar models to the atmospheric parameters, Gaia parallax, and Two Micron All Sky Survey magnitude of these stars and obtain samples drawn from the posterior probability distributions for their masses and ages under a given, uninformative prior. We combine them with the result of rotational modulation search to simultaneously infer the mass–age distribution of the sample as well as f(M
⋆, t
⋆), in a manner that fully takes into account mass and age uncertainties of individual stars. We find that f remains near unity up to t
⋆ ∼ 3 Gyr and drops to almost zero by t
⋆ ∼ 5 Gyr, although the trend is less clearly detected for stars with ≲0.9 M
⊙ due to weaker age constraints. This finding is consistent with a view that the detection of rotational modulation is limited by photometric precision to younger stars that exhibit higher-amplitude modulation, and suggests that the detectability of rotational modulation in Kepler light curves is insensitive to metallicity and activity cycles for stars younger than the Sun.
Occurrence dataset of waterbirds in the Tiaozini Wetland, a World Nature Heritage, China
Authors: Hu Wei , Chen Taiyu , Xu Zheping , Wu Dawei , Lu Changhu
Published: October 2022

Tiaozini, the core area of the Yellow (Bohai) Sea Migratory Bird Habitat in Dongtai, Jiangsu Province and a World Heritage Site, has provided an ideal habitat for migratory birds. As an important hub on the East Asian–Australasian Flyway (EAAF), Tiaozini Wetland provides pivotal stopover and wintering sites for tens of thousands of migratory waterbirds, including some global critically endangered species, such as Spoon-billed Sandpiper (Calidris pygmaea) and Spotted Greenshank (Tringa guttifer). Although many researchers have conducted a lot of studies on waterbirds in Tiaozini Wetland, there is still a lack of a dataset on waterbird species composition and individual quantity in Tiaozini Wetland throughout the year. Here, we conducted a one-year waterbird survey in the Tiaozini Wetland during 2020-2021 and provided an occurrence dataset with detailed species and geographic information.

This occurrence dataset is the first public record of species and number of waterbirds in Tiaozini Wetland for a whole year, which includes the taxonomic information, location information, number, investigation date and endangered level for each species. All data have been published on GBIF.
Stéréotypes de genre et construction de l’identité sexuée des femmes. Influences de la lecture d’œuvres littéraires ?
Authors: Dubrulle Marie , Gaugue Justine , Denis Jennifer
Published: October 2022

Notre recherche vise à démontrer comment les stéréotypes de genre, présents au sein de nos sociétés, peuvent par le biais de la lecture d’un roman, impacter la construction de l’identité sexuée de la femme au regard de différentes générations. Pour ce faire, 17 femmes âgées de 20 à 71 ans – issues d’un même milieu socioculturel – ont participé à la lecture du roman « Chanson douce » (Slimani, 2016). À l’issue de cette lecture, un entretien semi-directif a été réalisé afin de connaître les perceptions des stéréotypes présents dans l’ouvrage et l’impact de ceux-ci sur la construction de l’identité sexuée. Une analyse thématique, selon Braun et Clarke (2006), a permis d’observer la présence de stéréotypes dans l’ouvrage choisi, en termes de description et des rôles attribués aux personnages. Les participantes ont évoqué des questionnements personnels quant à leur place dans la société. Nous n’avons pas constaté d’effet intergénérationnel – les différences observées étant davantage liées à la personne et à son parcours de vie plutôt qu’à son âge. En conclusion, nos résultats mettent en évidence un lien entre la construction de l’identité de la femme et les stéréotypes sociétaux par le biais de vecteurs de socialisation tels que les romans.
Increase in academic performance due to the application of cooperative learning strategies: A case in construction engineering
Authors: Cano García Elena , Rojas Cazaluade Óscar
Published: October 2022

Cooperative learning has positive effects on student motivation, participation, and performance. Following the principles of this methodology, an intervention was designed to be implemented online during the confinement period in the Road Infrastructure of the UCN (n=40). The data collected shows that the operation of cooperative learning in online environments has the same benefits in terms of improving satisfaction, learning pace, and performance. These findings have implications for future instructional designs in hybrid or online modalities.The cooperative work teaching and learning methodology, if effective, will involve the conscious and sustained effort of a small group of students toward a pre-established goal, where each of its components assumes roles and coordinate their actions to achieve said purpose. The articulation of their individual resources-capabilities, the interaction that is generated between the members during the process, and the preliminary results that are obtained, promote a greater commitment-responsibility for their work and interdependence and support among their peers, raising the threshold between individual and group.The article allows documenting the effects of this didactic proposal on 4 elements: the participation rates, the improvement of the learning pace, the increase in the academic performance, and the satisfaction of the participants. The increase of 0.5 points in qualifications, of 17% in the approval rate, or reaching 85% of the learning compared to the minimum required 80% are some of the data that, together with the participation and satisfaction rates, lead to consider the extension of the proposal to other modules and subjects.
Assessment strategies in mixed learning applied in IT engineering and mathematics studies
Authors: Puertas Eloi
Published: October 2022

During the past COVID pandemical crisis, teachers at any level must to adapt their teaching methodologies to online learning environment.  One of the fear most aspects was the course assessment. Nonetheless, a lot of teachers were attracted to use news tools, that previously exists in their online platforms. In Universitat de Barcelona learning was developed in a mixed form after the first COVID crisis, doing some activities online and others, like final semester exams, in person. During this phase, we have carried out a questionnaire among students and teachers to know their opinion about assessment tasks during these semesters where online learning was more important than any time before. The results we have recollected shows that professors and students not always share the same point of view about usefulness of different assessment strategies or how they are linked to competence and skills achievements.
Iraqi University Students’ Emergency Remote Learning Experiences During Covid-19
Authors: Numan Haitham , Elareshi Mokhtar , Atanasova Dimitrinka
Published: October 2022

The Covid-19 outbreak spurred the adoption of eLearning in many countries around the world, but relatively little is known about students’ experience on the subject. This study examined university students’ knowledge and experience of face-to-face and emergency remote education in two well-known universities in Iraq. An online survey with random sampling approach was used, and a total of 323 respondents shared their learning experiences, satisfaction, preferences, and challenges using a remote learning system was analysed. The findings indicated that respondents were not able to cope with the remote teaching system in the short term, expressing somehow their negative experience with it overall. Given the instability situation in Iraq is hard to predict the successful outcomes of such system in the long term. Respondents’ preferences were still for a face-to-face education system, thus they highlighted the challenges for eLearning in Iraq, especially those related to improving the facilities e.g., Internet infrastructure and online system.
Camt-Run: Gamified Fun Run Events for Promoting Physical Activity
Authors: Puritat Kitti , Thongthip Phimphakan , Jansukpum Kanjana , Sirasakamol Orasa , Nadee Wanvimol
Published: October 2022

This work proposes designing and implementing a method for the gamification application of Fun Run events in order to promote physical activity. The application transforms the standard Fun Run which is normally included as a side event called “The gaming Fun Run” to marathon events designed for people who are interested in either gamified applications or their health allowing them to playand run at the same time. The application was used during the event called “The Run Fest“ to celebrate the 15th anniversary of the opening of Chiang Mai University's College of Arts, Media, and Technology. Based on the results of satisfaction questionnaires, the 701 participants, including 339 males and 362 females, were pleased and motivated to engage in physical activities. In addition, it can be concluded that running newcomers, 380 people, or 54.20% of all participants, were attracted to attend the running event and were able to complete the route, indicating that it was a successful promotion that enhances physical activity and health among newcomers in running through the application of gamification.
An Adaptive Mobile System Based on the Felder-Silverman Learning Styles Model
Authors: Zaoui Seghroucheni Yassine , Chekour Mohamed
Published: October 2022

Mobile technologies are invading everyday life. Their use has extended to areas and aspects of life that we did not necessarily imagine before. That being said, all efforts have been pooled recently in order to extend its use to educational applications and above all to exploit its potential in order to guarantee the most optimal learning process possible. Learners tend to consult the teaching content in their mobile devices even if the learning objects are not necessarily designed for this specific environment. So it has become essential to adapt to this rapid technological evolution and to design learning systems that take into consideration this new dimension, hence the need to add this new pole in adaptive learning systems. This paper introduces architecture of an adaptive learning system designed for mobile devices. The system which is an extension of some previous works in the adaptive learning systems area is based on the learning styles of Felder-Silverman and an adaptive model that provides the learning objects based on the recommendations of a specific instructional model and using mainly a Bayesian Network. The developed architecture takes into consideration the context constraint related to the technical part of the mobile device which leads ultimately to a novel adaptive learning system designed exclusively to run in a mobile environment.
A New Feature-Based Method for Similarity Measurement under the Linux Operating System
Authors: Almarsoomi Faaza A. , A. Alwan Israa
Published: October 2022

This paper presents a new algorithm in an important research field which is the semantic word similarity estimation. A new feature-based algorithm is proposed for measuring the word semantic similarity for the Arabic language. It is a highly systematic language where its words exhibit elegant and rigorous logic. The score of sematic similarity between two Arabic words is calculated as a function of their common and total taxonomical features. An Arabic knowledge source is employed for extracting the taxonomical features as a set of all concepts that subsumed the concepts containing the compared words. The previously developed Arabic word benchmark datasets are used for optimizing and evaluating the proposed algorithm. In this paper, the performance of the new feature-based algorithm is compared against the performance of seven ontology-based algorithms adapted to Arabic. The results of the evaluation and comparison experiments show that the new proposed algorithm outperforms the adapted word similarity algorithms on the Arabic word benchmark dataset. The proposed algorithm will be included in the AWN-similarity which is free open-source software for Arabic.
A Relentless March Towards Pride
Authors: Sriraam Sangeetha , Sumathi Simhanjana Gopikrishna
Published: October 2022

Consensual homosexual activities were decriminalized by the Indian Supreme Court in 2018. This paved way for several judicial interventions to protect LGBTQ+ persons. From recognizing the marriage of a transwoman to banning infant IGM surgeries, the judiciary has contributed immensely. Unfortunately, the legislature has not fallen in line, and the community continues to be deprived of indispensable rights such as the right to marry. This chapter traces the importance of equal marriage rights and its intrinsic role in protecting other rights including healthcare, adoption, inheritance, etc. The authors will analyze the judicial breakthroughs that have taken place in the last decade and in doing so critique the statutory framework constraints that the judiciary faces. The chapter will outlay an overview of equal marriage rights from across the world. Finally, the way forward for guaranteeing the rights of the community as enshrined under India's ‘transformative' constitution is discussed.
Identity, Rape, Law, and Incarceration
Authors: Katyal Aishwarya , Rajput Namita , Katyal Radhhika
Published: October 2022

In October 2011, Ky Peterson, a Georgia-based Black transgender man, was assaulted and raped by a stranger while heading home from a nearby convenience store. During his struggle with his assailant, Ky pulled out a gun and fatally shot him in self-defence, an act for which he was accused of manslaughter and was subsequently incarcerated even though he was a victim. This chapter looks at Ky's case taking a broader perspective of the quotidian lived realities of the trans-African-American citizens. The chapter highlights why and how Black transgender victims of violence cannot rely on the police to protect them from their attackers. This discussion will consider the case from an intersectional frame of reference to study the nuances of Ky's trials and tribulations to comprehend his victimization or lack thereof.
Silenced Voices and the Desire for Acceptance
Authors: Sasidharan Saritha , Prasuna M. G.
Published: October 2022

Same-sex love has existed in various forms previously within the Indian context. In this chapter, the need to break free from societal bonds, as well as the desire to gain legitimacy for queer relationships, will be explored. This will be done through close readings of the essays “We Will Always Be Who We Are” by Keshav Suri, “I Am a Chef Who Happens to Be a Lesbian” by Ritu Dalmia, and “From Margins to the Mainstream” by Zainab Patel. These essays will be analysed against the backdrop of Infinite Variety: A History of Desire in India by Madhavi Menon and Queer Studies: Texts, Contexts, and Praxis by Kaustav Bakshi and Rohit K. Dasgupta. This chapter will examine the oppression that queer people endure due to their non-heteronormative identity. It will also explore the silenced voices and histories and their effect on queer individuals through the medium of the select essays.
Is the Idea of Human Replacement too Far-Fetched?
Authors: García-Contreras Rigoberto , Muñoz-Chávez J. Patricia , Muñoz-Chávez Rosa L.
Published: October 2022

Public sector organizations are increasingly adopting artificial intelligence (AI). However, its implementation is creating controversy regarding its impact on the labor market (technological unemployment). The purpose of this chapter is to determine whether the idea that AI will replace human labor within the public sector is realistic, or it is too exaggerated. A systematic review of the literature and an analysis of cases in three different contexts were developed. The results show a framework that foresees positive future scenarios, and it is glimpsed that the relationship between humans and AI will be perfected over time to ensure that the benefits of this relationship are legitimate for public organizations.
Perceptions of Civil Engineers on the Development and Adoption of AI in the Peruvian Public Sector
Authors: Miranda-Hospinal Oscar G. , Valle-Cruz David , Yrivarren-Lazo Jorgue L.
Published: October 2022

Artificial intelligence is an emerging technology that has begun to be adopted in different organizations throughout the world, and public works cannot be left behind. The chapter discusses the measurement of perceptions of transparency and efficiency through a global approach to exploratory questions related to the advances and acceptance of artificial intelligence (AI). The objective is to explore the potential of AI to monitor transparency and efficiency in Peruvian public works executing units. Through a survey addressed to civil engineers related to public works and its potential link to AI, this chapter also explores technological frameworks related to AI. They show a high acceptance of AI in the execution stage of the work. In the matter of capacities and behaviors, they accept the substitution of the construction monitor (coordinator), the supervisor, and the resident (in that order) by the AI. The document ends with some lessons and recommendations for researchers and professionals interested in the area of study.
Adoption of Industry 4.0
Authors: Clavel-Maqueda Mireya , Cornejo-Velazquez Eduardo , Muñoz-Chávez J. Patricia , García-Contreras Rigoberto
Published: October 2022

Industry 4.0 integrates enterprises through continuous data flow, which can represent a competitive advantage. This chapter presents an analysis of the public policies for higher education as well as the initiatives that are being developed in Mexico to promote the adoption of Industry 4.0 technologies. It analyzed government and business initiatives that promote and strengthen labor sector skills to prepare the country's different productive sectors to take advantage of the opportunities offered by digital technologies. As a result, a set of best practices was identified, consisting of a bottom-up orchestrated process, matching Industry 4.0 initiatives with business needs, and strong involvement of private and public stakeholders. However, it was not possible to identify a strategic map that establishes the lines of action for the effective adoption of Industry 4.0 digital technologies. The formation of human capital to strengthen and increase strategies is an open topic.
Classification of Complaints for Criminal Intelligence Purposes
Authors: Rousseau Pauline , Kotzinos Dimitris , Camara Daniel
Published: October 2022

The increase in the volume of available data is changing how people perceive their own fields and how the people may interact with this surplus of information. Public security is not different; law enforcement agencies (LEAs) now have available a large quantity of information to help them fight criminality. One challenging problem is to classify/predict criminal activities. The differentiation over two different complaints may only be clear through the careful analysis of complaints' open text fields (e.g., the modus operandi), where the specificity of the perpetrated crime is described. Sometimes the intention behind a crime is not evident unless it is correlated to other crimes and patterns get extracted from them. This chapter shows that it is possible to classify criminal data using machine learning-based methods and that open text fields, such as the modus operandi, may play a fundamental role in the performance of the classification.
License Plate Detection and Location for Fast Character Segmentation
Authors: Velázquez Juan Alberto Antonio , Antonio Leopoldo Gil , Gómez Ociel Felipe , Hernandez Hector Caballero , González Erika López
Published: October 2022

In the State of Mexico, millions of vehicles circulate every day, so the identification of their license plates through CCTV cameras is an arduous job that requires trained personnel to capture important scenes. However, automatic plate recognition has factors that prevent correct detection. These can be problems such as weather, rusty plates, lighting, etc. A method of detecting plates located in any part of the vehicle is proposed and by means of a convolutional neural networks (CNN) algorithm using Tensor Flow. This is located, and then the text is segmented with the use of a threshold. The proposed model consists of a set of 355 individually obtained license plate images of the State of Mexico, which will serve to train the model. The main contribution of this work is the detection of vehicle plates anywhere, in addition to the implementation of a threshold with a value of 155 as the optimal value. The methodology was validated with the use of 50 new images of car plates registered in the vehicle registry of the State of Mexico, reaching an accuracy of 92.56% effectiveness.
Cybertwin-Driven Resource Provisioning for IoE Applications at 6G-Enabled Edge Networks
Authors: K. E. Hemapriya , S. Saraswathi
Published: October 2022

6G is the latest in wireless communications network technologies supportive for cellular data networks. 6G networks use complex frequencies unlike 5G networks and will empower higher data rates to be achieved and for the 6G network to have a superior global volume. Lower latency levels will almost definitely be a requirement. 6G radio networks will deliver the communication and data congregation essential to accrue data. However, a systems method is mandatory for the 6G technology. It will include data analytics, AI, and next-generation computation abilities using HPC and significant computation.
Disease Analysis and Prediction Using Digital Twins and Big Data Analytics
Authors: R. Rajagopal , P. Karthikeyan , E. Menaka , V. Karunakaran , Pon Harshavaradhanan
Published: October 2022

The data generated by the big data-based clinical need analysis plays a key role in improving the consideration feature, decreasing waste and blunder, and reducing treatment expenses. The use of big data analytics (BDA) techniques for analyzing disease and predictions is discussed in this investigation. This precise survey of writing means to decide the extent of BDA in disease analysis and difficulties in treatment in the medical filed. Further, this study has discussed the comparative analysis of heart diseases, predictions using BDA techniques, predicting of breast cancer, lung cancer, and brain diseases. Digital twins will be key to delivering highly personalized treatments and interventions. Intelligent digital twins, combining data, knowledge, and algorithms (AI), are set to revolutionise medicine and public health.
Knowledge Discovery Through Intelligent Data Analytics in Healthcare
Authors: S. Kowsalya , S. Saraswathi
Published: October 2022

The chapter aims to embed the demanding computing concepts to attain intelligent data analytics in the domain of healthcare. The targeted outcome provides the pathway to design the brainy decision support system needed to have efficient prediction with trained input patterns. The usage of IoT devices is increasing tremendously to overcome the challenges existing in handling the data related to human-relevant happenings. The volume, velocity, and variety of data are emerging newly and dominating the decision support characteristics. This scenario happens almost in all the computing fields, but more attention is expected to implement in the healthcare sector due to the existence of sensitive data. The traditional data analytics methods are deviating in the performance due to the unpredictable dynamic challenges emerging in the day-to-day operation. The efficient features of demanding computing strategies are motivated to embed together to discover crucial knowledge through intelligent data analytics.
Using Deep Learning and Big Data Analytics for Managing Cyber-Attacks
Authors: Kochhar Sarabjeet Kaur , Bhatia Anishka , Tomer Nandini
Published: October 2022

This chapter acquaints the reader to the terms and terminologies of cyber-attacks, cybersecurity, big data, data analytics, and related new age technologies, including deep learning. The types of cyber-attacks, how they become special and different within the big data analytic frameworks, a multi-layer framework for their detection, and the challenges therein are detailed next. Thereafter, an extensive review of some research works has been undertaken to provide an in-depth insight to the various cyber security detection systems using the new age technologies such as naive Bayesian networks in intrusion detection systems, deep learning in Android malware detection, and intelligent malware detection, etc. Conclusions have been drawn from these studies to establish that the emerging technologies, like artificial intelligence, machine learning, deep learning, and internet of Things, are the need of the hour to assist organizations in navigating the increasingly aggressive cyber threat landscape.
Web 2.0, Social Media, and Mobile Technologies for Connected Government
Authors: Mahmood Zaigham
Published: October 2022

A connected government uses digital technologies for public administration to improve the democratic processes and provide electronic services to strengthen support for public policies. Also referred to as Government 2.0, it aims to harness the information revolution to improve the lives of citizens and enhance the efficiency of governmental processes. Some of the digital technologies and methods that advanced economies are already using to enhance the connected governance include mobile computing, internet of things, social media applications, and Web 2.0-related communication tools. Through the use of such technologies, governments and citizens can interact in real time, whereby citizens can voice their opinions and engage in the electronic participation. In this chapter, the author introduces Web 2.0, social media networking, and mobile technologies, and then, outlining the characteristics of a connected government, the chapter discusses how mobile, Web 2.0, and social networking tools can support governments to enhance transparency, openness, and effectiveness.
An Exploration of Social Media as Forms of Social Control and Political Othering
Authors: Jongore Magret , Chirimuuta Chipo
Published: October 2022

The twenty-first century problem is of “Othering.” In a world beset by challenges, global, national, and regional conflict wrapped within or organized around group-based difference. The concept of “Othering” is used for social media platforms as the cause of many, if not all of the stresses of globalization, and the “collision of cultures.” This article discusses the advantages and disadvantages of social media in the wake of political othering on the Zimbabwean political landscape. More so, political othering is viewed as exacerbated by the various manipulations of different social media platforms. The article uses critical discourse analysis to unravel the unequal power relations inherent in social media platforms as both users and receivers of the peddled messages. Much as public media platforms are known to propagate a certain kind of mediated reality aimed at agenda setting and ideological persuasion in the presumed receivers. Social media platforms are used to negatively propagate rivalry, especially among political opponents.
Analysis of Discourses on WhatsApp Coup Reported in the Media
Authors: Makoza Frank
Published: October 2022

Use of social media applications has become popular in the context of developing countries. Social media are transforming the way individuals and organisations communicate and interact in their social settings. This paper presents a critical analysis of discourses on use of WhatsApp among opposition party politicians. Using the case of Malawi, the study analysed media reports and government documents using critical social theory. The findings showed power relations issues related to domination, communication distortions, and conflict of interests in the social and political discourses. Further, the study highlighted the effects of absence and outdated laws and legal frameworks in dealing with emerging use of new technologies in political activities (e.g., use of WhatsApp) in the context of a developing country. The study makes recommendations for policymakers and law enforcement agencies in addressing challenges related to the use and regulation of new technologies.
Social Media Bots, Trolls, and the Democratic Mandates in Sub-Saharan Africa
Authors: Gondwe Gregory , Some Evariste
Published: October 2022

This exploratory study investigates the role that bots and trolls played on social media in widening the gaps of political partisanship in sub-Saharan Africa. Taking the case of the 2018 Zambian by-elections, the authors examined the relationship between online social media content that propagates hate and organized trolling efforts in Zambia. The study used machine learning tools to identify the origin of the bots on Facebook and Twitter accounts (trolls) of the two major political parties in Zambia (PF and UPND). Online posts that accounted for the election campaigns and the aftermath in the year 2018 were considered for the study. Findings suggest that social-mediated conversations were divided along political lines and that the examined trolling accounts systematically took advantage of the existing echo chambers to create hate messages on Zambian social networks. In other words, the findings indicated that the online hate messages that accounted for violence were neither created by the PF or UPND political parties as earlier studies suggest but by bots and trolls.