bluuebunny/crossref_metadata_2025 huggingface dataset:
Female Subjects Oppressions in George R. R. Martin’s A Song of Ice and Fire: A Game of Thrones
Authors: Wardani L Dyah Purwita , Pratiwi Adinia Arum , Supiastutik Supiastutik
Published: March 2023

Female subjects’ oppressions are a significant aspect of the novel entitled A Game of Thrones, published in 1996 by George R. R. Martin. This article aims to discover the discourse of female subjects’ oppressions and the critical position of the author. The theory of representation by Stuart Hall and the discursive approach by Michel Foucault are used in this research. The contextual background and the narrations in the novel are collaborated in the analysis process to find the discourse of female subjects’ oppressions and the critical position of the author. This research proves that this novel represents the oppression of female subjects in the form of marginalization, powerlessness, violence, and exploitation. Through the narration in the novel and some interviews, Martin, as the author, resists women's oppression.
Radicalism as Issued in Online Media: A Discourse Analysis
Authors: Katili Adriansyah Abu
Published: March 2023

This is the discourse analysis of the text of radicalism. The analysis is aimed at how the texts issue radicalism. The data are obtained from the internet. They were analyzed by applying the theory of relevance developed by Sperber and Wilson. The research shows that the texts contain explicature, higher-level explicature, and implicature. The research shows that the texts implied the accusing Islam the religion of radicalism and that Muslims are a radical group of people.
Correlation Between Vocabulary Achievement of Computer Engineering Network (TKJ) Students and Their Learning Habit Using Computer at SMKN 1 Pulubala
Authors: Akuba Septiansi , Miolo Sartin T. , Mamu Rahmawaty
Published: March 2023

The objective of this research is to obtain the empirical data about the correlation between vocabulary achievement of Computer Engineering Network (TKJ) students and their learning habit using computer at SMKN 1 Pulubala. This research use correlation method and quantitative descriptive design to measure the correlation. This research was conducted to 67 Computer Engineering Network (TKJ) students at SMKN 1 Pulubala. After doing the research, the researcher concluded that there is a correlation between vocabulary achievement of Computer Engineering Network (TKJ) students and their learning habit using computer. It can be seen through the result of the correlation calculate using SPSS Computer for Windows show a value of 0.507. Based on the interpretation of the correlation result, it can be concluded that correlation between vocabulary achievement of Computer Engineering Network (TKJ) students and their learning habit using computer has medium correlation. The researcher has also measured the influence of correlation between vocabulary achievement of Computer Engineering Network (TKJ) students and their learning habit using computer found 91.04% in the frequency of learning habit and 80.59% in verb.

Keyword: vocabulary, learning habit, correlation
TD 2858 - Sistemas e ciclos de monitoramento e avaliação : recomendações da análise ex ante de políticas públicas e de programas governamentais
Authors: Lassance Antonio
Published: March 2023

Um dos propósitos da análise ex ante é justamente o de formular políticas públicas e modelar programas governamentais que já nasçam aptos ao monitoramento e avaliação. Para que possa ser baseada ou revisada a partir de evidências, cada passo dado pela ação pública deve deixar um rastro útil ao monitoramento de insumos, processos e produtos. Ao se concluir uma jornada, a avaliação, seguindo tais rastros captados pelo monitoramento, pode identificar a trilha de resultados e impactos que se sedimentaram ao longo do caminho. Este trabalho complementa o Texto para Discussão no 2817, intitulado Análise Ex Ante de Políticas Públicas: fundamentos teórico-conceituais e orientações metodológicas para a sua aplicação prática. Enquanto aquele estudo detalha e orienta o uso de referenciais e serve de guia metodológico para a análise ex ante, este se dedica a mostrar como conceber e estruturar sistemas e ciclos de monitoramento e avaliação. O trabalho encoraja a formação de uma comunidade de especialistas em moderação e facilitação de atividades voltadas à análise ex ante. Tal qualificação é crucial para que as políticas e os programas estejam prontos para serem monitorados e avaliados de modo a evidenciar ao público sua razão de ser e seus maiores e melhores benefícios para a sociedade.
A Study on Environmental Literacy of Middle School Students
Authors: AKÇAY Süleyman , ŞENGÜL Hüseyin
Published: March 2023

This study investigated the environmental literacy levels of middle school students in general. In particular, environmental literacy levels of students were compared in terms of different variables. The research was carried out with the participation of 1248 students studying in public and private schools in the province of Isparta, located in the Mediterranean region of Turkey. In this study, the “Environmental Literacy Scale” developed by Yavuz et al. (2014) was used. As a result, the general environmental literacy of middle school students can be regarded in a good level. The environmental literacy level of female students is at a better level than males’. Environmental literacy hasn’t displayed a significant difference statistically among class levels. However; there is a significant difference between public and private school students in favor of public schools. Moreover; the environmental literacy scores of students living in city center were detected higher than the ones living in villages. The environmental literacy level of ones following magazines about environment is significantly higher than the ones who haven’t. Similarly, the environmental literacy level of ones following edition about environment through social media or television is significantly higher than those who haven’t. Moreover, the behavior level of the ones who thinks environment education at schools is sufficient is determined significantly higher in comparison with the behavior level of the ones who doesn’t. Finally, the research was ended with some suggestions for a more effective environment education.
Okulöncesi Öğretmenlerinin Örgütsel Bağlılıkları ile İş Doyumları İlişkisinde Örgütsel Sessizliğin Aracılık Rolü
Authors: ANUK İŞLEK Sümeyye , BAKİOĞLU Fuad
Published: March 2023

Bu araştırmada okulöncesi öğretmenlerinin örgütsel bağlılık algıları ile iş doyumu arasındaki ilişkide örgütsel sessizliğin aracılık rolünü incelenmiştir. Araştırma grubunu 314 okul öncesi öğretmeni oluşturmaktadır. Veriler Örgütsel Bağlılık Ölçeği, Örgütsel Sessizlik Ölçeği, İş Tatmini Ölçeği ve Kişisel Bilgi ile toplanmıştır. Betimsel analizler için bağımsız örneklem t-testi ve Pearson korelasyon analizi yapılmıştır. Okulöncesi öğretmenlerinin örgütsel bağlılık algıları ile iş doyumu arasındaki ilişkide örgütsel sessizliğin aracılık rolü yapısal eşitlik modeli ile değerlendirilmiştir. Son olarak yapısal eşitlik modelinde elde edilen doğrudan ve dolaylı etkilerin anlamlı olup olmadığı bootstrapping analizi ile incelenmiştir. Araştırmanın bulgularına göre, okulöncesi öğretmenlerinin okul türüne göre örgütsel bağlılık düzeyleri bağımsız bir anaokulunda çalışmakta olanların lehine anlamlı düzeyde farklılaşmaktadır. Ancak okulöncesi öğretmenlerinin okul türüne göre örgütsel sessizlik ve iş doyumları anlamlı düzeyde farklılaşmamaktadır. Okul öncesi öğretmenlerinin örgütsel bağlılık, örgütsel sessizlik ve iş doyumları arasında anlamlı düzeyde ilişkiler bulunmuştur. Yapısal eşitlik modeli sonuçlarına göre, okulöncesi öğretmenlerinin örgütsel bağlılık algıları ile iş doyumu arasındaki ilişkide örgütsel sessizliğin aracılık rolüne sahip olduğu belirlenmiştir. Bootstrapping analizi sonuçları değerlendirildiğinde yapısal eşitlik modelindeki tüm doğrudan ve dolaylı etkiler daha büyük örneklemler için de anlamlı bulunmuştur. Son olarak araştırmada elde edilen bulgular ilgili alanyazın doğrultusunda tartışılmış ve öneriler sunulmuştur
THE ROLE OF ORGANIZATIONAL CULTURE ON EMPLOYEE ENGAGEMENT
Authors: Abduraimi Pakize Bilalli , Mustafi Mahije , Islami Xhavit
Published: March 2023

Despite the recognized importance of organizational culture (OC) for favorable organizational effects, empirically is relatively little known about its impact on employee engagement (EE), in Balkan countries, especially in the Republic of North Macedonia. To address this gap the purpose of this study is to explore the relationship between OC components and three dimensions of EE (vigor, dedication and absorption). To conduct this study a survey of 152 public secondary education employees who operate in the Republic of North Macedonia was done. The gathered data was analyzed using SPSS program. Results indicated that several components of the OC are significantly related to EE dimensions, such as employee vigor, dedication, and absorption. As a result, the study concludes that OC has a significant positive effect on EE dimensions both in and out of school. The outcomes of this study significantly contribute to a better understanding of the OC-EE relationship in the non-profit organizations.
ON DISCRETE-TIME MODELS OF NETWORK WORM PROPAGATION GENERATED BY QUADRATIC OPERATORS
Authors: Adilova Fatima , Jamilov Uygun , Reinfelds Andrejs
Published: March 2023

In this paper we consider the discrete-time dynamical systems generated by network worm propagation models based on the theory of quadratic stochastic operators(QSO). This approach simultaneously solves two important problems: exploring of the QSO trajectory‘s behavior, we described the set of limit points, thereby completely solved the main problem of dynamical systems (i), we showed a new application of the theory QSOs in worm propagation modelling (ii). We demonstrated that proposed discrete-time biologically-inspired model represents also realistic picture of the worm propagation process and such analytical models can be used in decision of some problems of computer networks.
High-resolution Transmission Spectroscopy of the Terrestrial Exoplanet GJ 486b
Authors: Ridden-Harper Andrew , Nugroho Stevanus K. , Flagg Laura , Jayawardhana Ray , Turner Jake D. , de Mooij Ernst , MacDonald Ryan , Deibert Emily , Tamura Motohide , Kotani Takayuki , Hirano Teruyuki , Kuzuhara Masayuki , Omiya Masashi , Kusakabe Nobuhiko
Published: March 2023

Terrestrial exoplanets orbiting M-dwarf stars are promising targets for transmission spectroscopy with existing or near-future instrumentation. The atmospheric composition of such rocky planets remains an open question, especially given the high X-ray and ultraviolet flux from their host M dwarfs that can drive atmospheric escape. The 1.3 R
⊕ exoplanet GJ 486b (T
eq ∼ 700 K), orbiting an M3.5 star, is expected to have one of the strongest transmission spectroscopy signals among known terrestrial exoplanets. We observed three transits of GJ 486b using three different high-resolution spectrographs: IRD on Subaru, IGRINS on Gemini-South, and SPIRou on the Canada–France–Hawai’i Telescope. We searched for atmospheric absorption from a wide variety of molecular species via the cross-correlation method, but did not detect any robust atmospheric signals. Nevertheless, our observations are sufficiently sensitive to rule out several clear atmospheric scenarios via injection and recovery tests, and extend comparative exoplanetology into the terrestrial regime. Our results suggest that GJ 486b does not possess a clear H2/He-dominated atmosphere, nor a clear 100% water-vapor atmosphere. Other secondary atmospheres with high mean molecular weights or H2/He-dominated atmospheres with clouds remain possible. Our findings provide further evidence suggesting that terrestrial planets orbiting M-dwarf stars may experience significant atmospheric loss.
The Missing Link between Black Holes in High-mass X-Ray Binaries and Gravitational-wave Sources: Observational Selection Effects
Authors: Liotine Camille , Zevin Michael , Berry Christopher P. L. , Doctor Zoheyr , Kalogera Vicky
Published: March 2023

There are few observed high-mass X-ray binaries (HMXBs) that harbor massive black holes (BHs), and none are likely to result in a binary black hole (BBH) that merges within a Hubble time; however, we know that massive merging BBHs exist from gravitational-wave (GW) observations. We investigate the role that X-ray and GW observational selection effects play in determining the properties of their respective detected binary populations. We find that, as a result of selection effects, detectable HMXBs and detectable BBHs form at different redshifts and metallicities, with detectable HMXBs forming at much lower redshifts and higher metallicities than detectable BBHs. We also find disparities in the mass distributions of these populations, with detectable merging BBH progenitors pulling to higher component masses relative to the full detectable HMXB population. Fewer than 3% of detectable HMXBs host BHs >35M
⊙ in our simulated populations. Furthermore, we find the probability that a detectable HMXB will merge as a BBH system within a Hubble time is ≃0.6%. Thus, it is unsurprising that no currently observed HMXB is predicted to form a merging BBH with high probability.
On the Origin of Dust Structures in Protoplanetary Disks: Constraints from the Rossby Wave Instability
Authors: Chang Eonho , Youdin Andrew N. , Krapp Leonardo
Published: March 2023

High-resolution submillimeter observations of protoplanetary disks with ALMA have revealed that dust rings are common in large, bright disks. The leading explanation for these structures is dust trapping in a local gas pressure maximum, caused by an embedded planet or other dynamical process. Independent of origin, such dust traps should be stable for many orbits to collect significant dust. However, ringlike perturbations in gas disks are also known to trigger the Rossby wave instability (RWI). We investigate whether axisymmetric pressure bumps can simultaneously trap dust and remain stable to the RWI. The answer depends on the thermodynamic properties of pressure bumps. For isothermal bumps, dust traps are RWI stable for widths from ∼1 to several gas scale heights. Adiabatic dust traps are stable over a smaller range of widths. For temperature bumps with no surface density component, however, all dust traps tend to be unstable. Smaller values of disk aspect ratio allow stable dust trapping at lower bump amplitudes and over a larger range of widths. We also report a new approximate criterion for RWI. Instability occurs when the radial oscillation frequency is ≲75% of the Keplerian frequency, which differs from the well-known Lovelace necessary (but not sufficient) criterion for instability. Our results can guide ALMA observations of molecular gas by constraining the resolution and sensitivity needed to identify the pressure bumps thought to be responsible for dust rings.
The Behavior of Bp Si Stars in the far-UV—Paper III: HD 112413
Authors: Monier Richard
Published: March 2023

The analysis of eleven spectra of the SiEuCr star HD 112413 recorded by the SWP camera on board the International Ultraviolet Explorer reveals variations of the far-ultraviolet spectral energy distribution over a time interval of three days and five hours. Large variations are present shortwards of 2000 Å which can be partly attributed to variations of the lines and continuum of Si ii. This confirms that silicon and iron-peak elements are not distributed in a uniform manner over the surface. The FUV variations occur in antiphase with the variations of the optical brightness which probably reflects redistribution of the FUV flux toward optical wavelengths as the star rotates.
Cancer Profile in Jakarta: A 5-year Descriptive Study
Authors: Gondhowiardjo Soehartati , Nurhidayat Wahyudi , Zhafirah Nadiyya Faza , Jayalie Vito Filbert , Sekarutami Sri Mutya , Priharto R. Koesmedi , Widyastuti Widyastuti
Published: March 2023

BACKGROUND: According to the World Health Organization reports in 2020, cancer was the second leading cause of death in developing countries following cardiovascular diseases and infections. As one of the strategies to prioritize cancer control in Indonesia, it is crucial to establish a population-based cancer registry, thus necessitating a well-recorded study with a robust methodology of documentation and reporting of cancer profile.
AIM: This study aims to describe the cancer profile in Jakarta based on the data from Cipto Mangunkusumo Hospital as the cancer registry control center for Jakarta Capital Region.
METHODS: We conducted a cross-sectional and descriptive study by collecting data from the cancer registry in Cipto Mangunkusumo Hospital, which were pooled from five subregional hospitals in Jakarta from 2008 to 2012. Statistical analysis was performed using IBM SPSS Statistics 20.0.
RESULTS: We obtained data from 15,042 cancer patients in Jakarta with a male-to-female ratio of 1:1.8. The majority of patients were from the group of 45–54 years old. Late-stage presentation (stages III and IV) was observed in 24.6% of patients. The highest number of patients was from West Jakarta (27.7%), followed by East Jakarta (26.1%). The five most common cancer found in both sexes was breast cancer, cervical cancer, hematopoietic and reticuloendothelial system malignancy, lung and bronchial cancer, and nasopharyngeal cancer.
CONCLUSION: The findings from this study correspond to GLOBOCAN 2012 for South-east Asia Region, particularly regarding the male-to-female ratio and patients’ age group. However, we highlighted the need to optimize data collection by involving all health-care facilities in Jakarta.
Biodiversity of extant snails (Gastropoda, Mollusca) in the Pliocene Mountain Spur Natural Reserve (Northern Apennine, Italy)
Authors: Plazzi Federico , Pedroni Guido
Published: March 2023

To date, there is a substantial lack of information about gastropods from the Tuscan-Emilian Apennine in the north of Italy, notwithstanding the availability of detailed and comprehensive literature on this molluscan class. We present a gastropod fauna from the Natural Reserve of the Pliocene Mountain Spur: to our knowledge, this is the first investigation of the extant gastropod fauna in the Tuscan-Emilian Apennine and one of the few in the Apennine's mountain chain as a whole.

We describe a gastropod fauna comprised by 25 species, belonging to 18 genera and 10 families: the general figure which is emerging is an assemblage of European and Mediterranean-European species, with a single Asian contribution. Several shells were collected as embedded in sandy-clayey soils and showed fossilisation traces: therefore, we regard these shells as subfossil samples. Namely, subfossil shells are from the species Pomatias elegans, Granaria frumentum, Retinella olivetorum, Xerolenta obvia obvia, Oxychilus cf. draparnaudi, Monacha cartusiana and Monacha cantiana. The present checklist is the first report in the Tuscan-Emilian Apennine and Emilia-Romagna areas for six taxa: Morlina glabra glabra, Oxychilius alliarius, Xerosecta cespitum, Fruticicola fruticum, Xerogyra spadae and Xerolenta obvia obvia.
A new genus, Tuberocandona gen. nov. (Crustacea, Ostracoda, Candonidae) and past to present ostracod species diversity in Texas (USA)
Authors: Külköylüoğlu Okan , Ataman Alper , Gibson Randy , Diaz Peter
Published: March 2023

A new ostracod genus, Tuberocandonagen. nov., was collected from Honeycut Hollow Springs, Texas, USA Morphological comparisons and cladistic analyses showed that the new genus displays several different features (e.g. presence of two tubercules on each of the valves, numbers of A1 segments, shape of A2 claws, shape and presence of two claw-like setae on the clasping organs, absence of d2 and dp setae on T2 and T3, absence of alpha and beta setae on Md, shape of hemipenis) from other genera of the tribe. Including the new species, the number of non-marine ostracods known from inland waters of Texas is now 118 species in 45 genera. With the aim of documenting ostracod biodiversity in Texas (USA) by including fossils, we sought documents published from 1927 to 2022 and were able to list 673 ostracod taxa belonging to 142 genera. Among the fossils, 73 ostracods were the oldest records during the Pennsylvanian period (ca. 310 mya), while there were only 42 taxa reported from the Holocene. The Eocene had the highest number of ostracods (126 taxa). In comparison, the living species had only 18 of 673 taxa that were considered nonmarine forms. There are only six species in common with the fossils and recent records. These results suggest the potential for relatively high ostracod species richness and diversity in Texas. This is indeed strongly supported by the present study and the described new genus and its type species (Tuberocandona leonidasisp. nov.).
Nine Years' Follow-up of Bilateral Extremely Low Vaulting of Implantable Collamer Lens: Case Report
Authors: Mechleb Nicole , Gatinel Damien , Saad Alain
Published: March 2023

Purpose:

To present a patient with bilateral implantable Collamer lens (ICL) implantation with extremely low vault who was followed up over 9 years and in whom no cataract was detected.

Methods:

A 56-year-old woman underwent uneventful bilateral ICL implantation and her postoperative ICL vaulting was 10 and 8 µm in the right and left eye, respectively. After consultation with the patient, it was decided to withhold surgical intervention and follow up closely.

Results:

Nine years postoperatively, the patient had normal ophthalmological examination results: uncorrected distance and near visual acuity of 20/20, normal intraocular pressure and open angle, stable ICL with low vaulting of 8 to 12 µm, clear lens with stable Objective Scatter Index scores, and normal posterior segment.

Conclusions:

This case report shows that even though low ICL vault is a risk factor for cataract development, withholding surgical intervention should be considered depending on the patient's age, characteristics, and compliance with close follow-up.

[
Journal of Refractive Surgery Case Reports.
2023;3(1):e5–e9.]
Barycentric rational interpolation method for solving KPP equation
Authors: Li Jin , Cheng Yongling
Published: March 2023

In this paper, we seek to solve the Kolmogorov-Petrovskii-Piskunov (KPP) equation by the linear barycentric rational interpolation method (LBRIM). As there are non-linear parts in the KPP equation, three kinds of linearization schemes, direct linearization, partial linearization, Newton linearization, are presented to change the KPP equation into linear equations. With the help of barycentric rational interpolation basis function, matrix equations of three kinds of linearization schemes are obtained from the discrete KPP equation. Convergence rate of LBRIM for solving the KPP equation is also proved. At last, two examples are given to prove the theoretical analysis.
Decision support algorithm under SV-neutrosophic hesitant fuzzy rough information with confidence level aggregation operators
Authors: Kamran Muhammad , Ismail Rashad , Ashraf Shahzaib , Salamat Nadeem , Yildirim Seyma Ozon , Cangul Ismail Naci
Published: March 2023

To deal with the uncertainty and ensure the sustainability of the manufacturing industry, we designed a multi criteria decision-making technique based on a list of unique operators for single-valued neutrosophic hesitant fuzzy rough (SV-NHFR) environments with a high confidence level. We show that, in contrast to the neutrosophic rough average and geometric aggregation operators, which are unable to take into account the level of experts' familiarity with examined objects for a preliminary evaluation, the neutrosophic average and geometric aggregation operators have a higher level of confidence in the fundamental idea of a more networked composition. A few of the essential qualities of new operators have also been covered. To illustrate the practical application of these operators, we have given an algorithm and a practical example. We have also created a manufacturing business model that takes sustainability into consideration and is based on the neutrosophic rough model. A symmetric comparative analysis is another tool we use to show the feasibility of our proposed enhancements.
Big data analysis of water quality monitoring results from the Xiang River and an impact analysis of pollution management policies
Authors: Zeng Yangyan , Zhou Yidong , Cao Wenzhi , Hu Dongbin , Luo Yueping , Pan Haiting
Published: March 2023

Water pollution prevention and control of the Xiang River has become an issue of great concern to China's central and local governments. To further analyze the effects of central and local governmental policies on water pollution prevention and control for the Xiang River, this study performs a big data analysis of 16 water quality parameters from 42 sections of the mainstream and major tributaries of the Xiang River, Hunan Province, China from 2005 to 2016. This study uses an evidential reasoning-based integrated assessment of water quality and principal component analysis, identifying the spatiotemporal changes in the primary pollutants of the Xiang River and exploring the correlations between potentially relevant factors. The analysis showed that a series of environmental protection policies implemented by Hunan Province since 2008 have had a significant and targeted impact on annual water quality pollutants in the mainstream and tributaries. In addition, regional industrial structures and management policies also have had a significant impact on regional water quality. The results showed that, when examining the changes in water quality and the effects of pollution control policies, a big data analysis of water quality monitoring results can accurately reveal the detailed relationships between management policies and water quality changes in the Xiang River. Compared with policy impact evaluation methods primarily based on econometric models, such a big data analysis has its own advantages and disadvantages, effectively complementing the traditional methods of policy impact evaluations. Policy impact evaluations based on big data analysis can further improve the level of refined management by governments and provide a more specific and targeted reference for improving water pollution management policies for the Xiang River.
Applying Data Mining in Graduates’ Employability
Authors: Mpia Héritier Nsenge , Mburu Lucy Waruguru , Mwendia Simon Nyaga
Published: March 2023

Envisaging an adequate IT/IS solution that can mitigate the employability problems is imperative because nowadays there is a high rate of unemployed graduates. Thus, the main goal of this systematic literature review (SLR) was to explore the application of data mining techniques in modeling employability and see how those techniques have been applied and which factors/variables have been retained to be the most predictors or/and prescribers of employability. Data mining techniques have shown the ability to serve as decision support tools in predicting and even prescribing employability.
The review determined and analyzed the machine learning algorithms used in data mining to either predict or prescribe employability. This review used the PRISMA method to determine which studies from the existing literature to include as items for this SLR. Hence, 20 relevant studies, 16 of which are predicting employability and 4 of which are prescribing employability. These studies were selected from reliable databases: ScienceDirect, Springer, Wiley, IEEE Xplore, and Taylor and Francis. According to the results of this study, various data mining techniques can be used to predict and/or to prescribe employability. Furthermore, the variables/factors that predict and prescribe employability vary by country and the type of prediction or prescription conducted research.  Nevertheless, all previous studies have relied more on skill as the main factor that predict and/or prescribe employability in developed countries and none studies have been conducted in unstable developing countries. Therefore, the need to conduct research on predicting or prescribing employability in such countries by trying to use contextual factors beyond skill as features.
Assessment of Digital Games in Technology Education
Authors: Valentová Monika , Brečka Peter
Published: March 2023

The paper contributes to solving the issue of digital games in education. It explains concepts such as gamification and Digital Game-Based Learning; it focuses on the typology of games and the positives and negatives of playing digital games while discussing the aspects of their implementation in education. The case study presented in the paper examines in more detail digital games as a supplement to the learning environment in technically oriented education at the primary level of elementary schools in Slovakia. The main focus is put on an analysis of digital and education aspects of selected digital games. Specifically, based on nine game assessment criteria, such as game content in line with the objectives, application of cross-cutting themes, motivation, way of manipulation, active participation of the pupil, design/graphic processing, playing time, game model and its objective. Each of these criteria can influence the application of selected games in teaching; therefore, we assessed the games individually through these criteria.
Influence of Blockchain Implementation for Virtual Meetings at Home Learning Indonesia
Authors: Widiyanto Andi , Pujiarto Bambang , Prabowo Nugroho Agung , Hanafi Mukhtar , Widyanto R Arri , Avizenna Meidar Hadi , Rodito Joni , Fadhilla Nida Muna
Published: March 2023

Online learning is currently one of the popular learning concepts in schools. The results of online learning are still not as expected. This is due to the lack of reliability of teachers in mastering learning platforms and the lack of virtual meetings between teachers and students. Home Learning Indonesia (HLI) is a Learning Management System with virtual meetings and blockchain technology is an alternative to solving this problem. This research utilizes blockchain technology to minimize the shortcomings of existing virtual meeting platforms. In this study, testing HLI virtual meetings and several other platforms. The results of the HLI Virtual meetings test when the requests given are getting higher, and the throughput is decreasing following the number of requests given. These results can show that the use of blockchain in virtual meetings can increase network stability in its use.
Learners' Perception Towards the Shift from Offline to Online Pedagogy and Factors Affecting it
Authors: Nivedhya PS , Malik Sushant , Mishra Dharmesh K. , Paul Dipen , Nagarkar Jeevan
Published: March 2023

The paper provides an introduction to e-learning and the impact of its shift from offline to online pedagogy. On one side, e-learning has made access to numerous learning opportunities flexible in time. On the other side, it also impacts the student's learning process. This paper aims to find out the status of e-learning adaptation among students by understanding the impact of COVID scenario on e-learning adaptation, the impact of user's time, course structure, and edginess among students. This paper also studies if the cost-effectiveness does prevail or not with the current course design and if it can be applied to the virtual courses as well or not. This study discovers the possible outcomes through virtual learning and is affects the present mindset of a learner or not.
Improved Methods for Automatic Facial Expression Recognition
Authors: Echoukairi Hassan , El Ghmary Mohamed , Ziani Said , Ouacha Ali
Published: March 2023

Facial expressions constitute one of the most effective and instinctive methods that allow people to communicate their emotions and intentions. In this context, the both Machine Learning (ML) and Convolutional Neural Networks (CNNs) have been used for emotion recognition. Efficient recognition systems are required for good human-computer interaction. However, facial expression recognition is related to several methods that impact the performance of facial recognition systems.  In this paper, we demonstrate a state-of-the-art of 65% accuracy on the FER2013 dataset by leveraging numerous techniques from recent research and we also proposed some new methods for improving accuracy by combining CNN architectures such as VGG-16 and Resnet-50 with auxiliary datasets such as JAFFE and CK.  To predict emotions, we used a second approach based on geometric features and facial landmarks to calculate and transmit the feature vector to the SVM model. The results show that the ResNet50 model outperforms all other emotion prediction models in real time by maximizing.
Confronting Two Crises: The Effect of Mental Health Disorders on Opioid Use
Authors: Zhang Isabel
Published: March 2023

Previous studies have shown an overlap between opioid misuse and mental health. One theory that explains the relationship between mental health and opioid addiction is that people with depression and other mental health conditions may self-medicate with opioids to alleviate their symptoms. To address this question, I used data from the 2020 National Health Interview Survey to examine the effect of anxiety and depression on opioid use in the past year. I used logistic regression models with estimated odds ratios and controlled for race, sex, and age. Overall, I found that depression level, anxiety level, anxiety frequency, and taking medication for anxiety significantly affected opioid use in the past twelve months. As expected, higher levels of anxiety and depression correlated with increased opioid medication use. However, the correlation between anxiety and depression indicates that respondents who took medication for depression and anxiety were more likely to have used opioids in the past year. This result thus contradicts the hypothesis that people with depression and other mental health conditions may inappropriately self-medicate with opioids to alleviate their symptoms.
Oxime-Conjugated Dendrimers as Therapeutics for Organophosphate Poisoning
Authors: Harrison Racquel , Shengzhuang Tang , Cannon Jayme , Yang Kelly , Wong Pamela , Ki Choi Seok
Published: March 2023

Organophosphates (OPs) are a class of organophosphorus compounds which have a general structure of O=P(OR)3. Paraoxon (also known as POX) is an organophosphate found in insecticides often used in agriculture in impoverished countries. OPs are also used in nerve gas agents such as Sarin gas, used in warfare.These molecules are extremely toxic and can be lethal at low doses. Organophosphates negatively impact the body’s neurotransmitter enzyme, acetylcholinesterase. Muscle spasms, paralysis, narrowed pupils, glossy eyes, confusion, and the over-secretion of bodily fluids such as sweat, saliva, mucus, and tears, are symptoms of organophosphate poisoning (Fletcher, 2017). To reduce the harmful effects from this organic compound, we have designed and screened dendrimer nanoparticles modified with poly (ethylene glycol) chains and with small reactor molecules. Dendrimers are synthetic macromolecules, which contain chains of repeated, branching molecules that form a tree-like or snowflake-like structure. Dendrimers can be used to enhance permeability in drug delivery. There are many active sites attached to small reactor molecules on the dendrimer branches, allowing for the successful and efficient inactivation of POX before penetrating the skin (Mukherjee, 2015). The second focus of our experiment was to screen for hundreds of oxime molecules that most effectively reactivate acetylcholinesterase. Oxime molecules are an organic imine compound that can be used to detach the toxic OPs from acetylcholinesterase. OP’s bind to Ser200 on the enzyme, leading to inactivation. Oxime molecules bind in a nucleophilic attack to the phosphorus on organophosphate, causing it to diffuse away from the enzyme. This paper highlights the two focuses of our experiment: 1. Perform enzyme assays to screen for the best compounds at reactivating acetylcholinesterase, and 2. Attach oxime molecules at the branching sites of dendrimers to enhance permeability into the subdermal layer of the skin. We have identified some potential oxime molecules and dendrimers to be complexed and used as a treatment for OP poisoning or incorporated into a cream-based drug product to protect those at high risk of exposure to organophosphates.
Imaging the effects of GLP-1 on the developing pancreas
Authors: Ruscilli Chloe , Cras-Méneur Corentin
Published: March 2023

GLP-1 (Glucagon-like peptide 1) is an incretin (a metabolic hormone modulating glucose metabolism) known to lower blood glucose by stimulating insulin release and inhibiting glucagon release. The effects of GLP-1 are well documented in adults, but little is known about the role of GLP-1 during development. The hypothesis of this project is that GLP-1 assists the pancreas in development, differentiation, and proliferation. To test this hypothesis, Glucagon-like peptide 1 receptor knockout mice (GLP-1R KO) were compared to control mice to block the mechanism of GLP-1. Sections of the pancreas were taken from both GLP-1R KO and control mice and were stained for insulin, glucagon, and proliferation. The data from the experiment suggests that GLP-1R KO mice have less islet cell mass (both α and β) and proliferation compared to controls. Further studies could investigate the role of GLP-1 during pancreatic organogenesis.
Bioactive Properties and Food Applications of Cannabis sativa and Applications of Its Molecular Modeling
Authors: Celik Sefa , Cakir Elif , Er Alev
Published: March 2023

In addition to being the oldest cultivated plant from past to present as a raw material source, Cannabis sativa L. is a strategically characteristic plant used for food, medicine, cosmetics, and pharmacological purposes. Molecular modeling is an important means for elucidating molecular structures and plays an important role in the design and development of new pharmaceuticals. This chapter includes the beneficial properties of the primary and secondary metabolites contained in cannabis such as foaming, emulsifying, gelling, film formation; antioxidant, antimicrobial activities and bakery products by means of their superior nutritional values, snack products, dairy products, processed meat products, in beverages such as coffees, teas, soda and functional food ingredients in many other areas of the food industry, nutritional supplements, usability in the development of new food formulations on hemp and molecular modeling studies on constituents of cannabis sativa.
Pancoe Method
Authors: Korstanje Maximiliano Emanuel , Seraphin Hugues , Zuccoli Alejandra
Published: March 2023

The present case study is focusing on the power of pleasure (joy) as a strategy to better the standard education system in Argentina. Whilst pleasure was overlooked as an instrument to provide feedback to students, PANCOE (and the Laboratory of Joy) goes in the opposite direction. The Laboratory of Joy stimulates students´ skills and performance through the articulation of pleasurable experiences. The results notably evince how those students who participated in PANCOE are performing better than those who are not involved in the experiment. The endorphins liberated by positive interactive communication pave the ways for the rise of pleasurable experiences which contribute to better academic performances. As a promising method PANCOE was originally designed to support the learning process of foreign students when arriving in a new country. The main goal was to retain the student by reducing academic dropout; in other words, reducing the rate of students failing to get qualifications.
World Heritage Education and the Postdigital Age
Authors: Grünberg Claudia , Zehbe Klaus Christian
Published: March 2023

The chapter problematizes the frequent lack of a genuinely global perspective in educational approaches at World Heritage sites, manifesting in limitations of educational contents and aims to local conservation, local history or art history, despite World Heritage sites' professed ‘outstanding universal value' (OUV). To overcome such limitations, the authors strategically include the approach of Education for Sustainable Development (ESD) in the context of World Heritage sites. Considering the emergence of a ‘postdigital' condition, the authors sketch specific uses of communication at World Heritage sites to support reflexive formal and informal education processes. In doing so, the authors establish an original approach to reflexive World Heritage Education (WHE). The chapter demonstrates on the basis of practical examples the possibilities for reflexive, postdigital educational approaches at World Heritage sites by referring to the educational pilot project “Young Climate Action for World Heritage.” The chapter concludes by identifying gaps for further research.
Hospitality Industry 5.0
Authors: Gangwar Veer P. , Reddy Deepika
Published: March 2023

The hospitality sector 5.0 aspires to integrate technology into service marketing, human resource management, and hotel operations in order to give visitors a seamless and useful customer experience. Artificial intelligence, the internet of things, blockchain technology, collaborative robots, chatbots and sensors, contactless automation, mobile technology, augmented reality, virtual reality, big data, cloud computing, 6 G and beyond, as well as machine-to-machine communication, are all part of the hospitality industry 5.0. When automated technologies, intelligent devices, and intelligent systems converge with human intelligence, hospitality 5.0 will be born. It aims to provide additional contributions to the field of technological use in hospitality and tourism and thereby offers a strong knowledge base. Therefore, all people involved in the study's implementation might benefit from its findings in order to better understand and meet the requirements and expectations of both customers and employees through the use of technology.
Enhancing Business Communications and Collaboration
Authors: Geada Nuno
Published: March 2023

A collaborative environment raises the bar for teamwork by allowing colleagues to share their skills, talents, and ideas to achieve a common goal. When practiced correctly, collaboration in the workplace can have a positive impact on your team and organization. Collaboration can increase efficiency and innovation and improve team relationships. In this chapter, the authors cover the benefits and challenges of a collaborative work environment, the skills needed in a collaborative team, and how you can help your team create a positive and innovative work environment.
A Scientific Field in Formation
Authors: Jamil George Leal
Published: March 2023

A question is present nowadays in academic and research arenas: as we manage data, adopting several different processes and methods, as this management relates to other fields, so different and identifiable, can data science be considered as a scientific field? The chapter develops a study around this question, observing how, potentially, this field was formed and continues to evolve, gaining new definitions and practical views, pressured by the massive adoption of technological resources to manage data and a progressive level of demand of products and services which are obtained from data, as those regarded as information or knowledge outcome. The study was conducted to appreciate the possible characteristic of multi-, inter-, and trans-disciplinary aspects for this scientific field, aiming to understand this perspective as a mature characteristic of a scientific field. These arguments were checked, which form the data science context, determining a final level of perception for this study, that considered data science as a new, innovative, in formation scientific field.
Exponential Organizations
Authors: Plínio de Lima Presleyson
Published: March 2023

Model and manage the business holistically to drive exponential growth. Knowing the potential of information and knowledge, as well as how it revolutionized the way of life today and the opportunities that arise from it, apply solutions that can increase the scale of operations without incurring high costs, as was the case with traditional economies of scale. Recognize the importance of migrating from a linear and sequential business model to one in which processes are more flexible and exponential thinking. This chapter explores exponential organizations.
Ruminococcus gnavus and Limosilactobacillus reuteri Regulate Reg3γ Expression through Multiple Pathways
Authors: Ramirez Zeni E , Surana Neeraj K
Published: March 2023

Epithelium-derived antimicrobial peptides represent an evolutionarily ancient defense mechanism against pathogens. Regenerating islet-derived protein 3 γ (Reg3γ), the archetypal intestinal antimicrobial peptide, is critical for maintaining host–microbe interactions. Expression of Reg3γ is known to be regulated by the microbiota through two different pathways, although it remains unknown whether specific Reg3γ-inducing bacteria act via one or both of these pathways. In recent work, we identified Ruminococcus gnavus and Limosilactobacillus reuteri as commensal bacteria able to induce Reg3g expression. In this study, we show these bacteria require myeloid differentiation primary response protein 88 and group 3 innate lymphoid cells for induction of Reg3γ in mice. Interestingly, we find that R. gnavus and L. reuteri suppress Reg3γ in the absence of either myeloid differentiation primary response protein 88 or group 3 innate lymphoid cells. In addition, we demonstrate that colonization by these bacteria is not required for induction of Reg3γ, which occurs several days after transient exposure to the organisms. Taken together, our findings highlight the complex mechanisms underlying microbial regulation of Reg3γ.
The history of antiphospholipid syndrome
Authors: Tincani A. , Fontana G. , Mackworth-Young C.
Published: March 2023

Antiphospholipid Syndrome (APS) is an autoimmune disease which was defined in the early 1980s. The principal features include thromboembolic events and/or pregnancy losses in association with antiphospholipid antibodies (aPL). As an historical note, the full-blown picture of the syndrome resembles the illness suffered by Anne Stuart, Queen of England in the XVIII century, whose repeated miscarriages caused the end of the royal Stuart line and the Hanoverian succession. The identification of aPL started in the early XX century and was linked to the introduction of the serological test for the diagnosis of syphilis. This involves a reaction between an antibody (reagin) and a phospholipid antigen derived from bovine heart (cardiolipin). Later on, it was observed that not all subjects with a positive test had syphilis, and that the so called “false positive reaction” was often reported in patients with systemic lupus erythematosus. Different tests for the identification of aPL were subsequently developed: first lupus anticoagulant (1971) and then immunoassays for anticardiolipin (1983) and anti-beta2 glycoprotein I (1990) antibodies. In the same period the association between the presence of circulating aPL and thrombotic and obstetric events was established, both in patients with autoimmune diseases and in otherwise healthy subjects, leading to the identification of APS as a distinct autoimmune disease. This has allowed better diagnosis and more targeted treatment for many patients.