bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hasrat Konsumsi Virtual dalam Permainan Daring Mobile Legends: Perspektif Deleuze dan Guattari
Authors: Andreas Rino , Arymami Dian 
Published: June 2022

Konsumsi virtual, lekat dengan kehidupan masyarakat yang dimediasi oleh teknologi komunikasi dan informasi digital. Salah satunya dapat dilihat dalam ekosistem permainan daring (game online). Tulisan ini bertujuan untuk mengeksplorasi kompleksitas hasrat konsumsi virtual para pemain Mobile Legend: Bang Bang (MLBB) dari perspektif Deleuze dan Guattari serta memaparkan siasat para pemain MLBB yang berupaya keluar dari nilai-norma yang dimapankan oleh kapitalisme digital abad-21. Penelitian kualitatif ini menggunakan metode etnografi virtual yang menempatkan peneliti dalam aktivitas observasi dan partisipasi aktif di ruang virtual. Berdasarkan observasi dan FGI (focus group interview) peneliti melihat bahwa hasrat konsumsi pemain MLBB berada di tataran mikro dan makro. Mesin hasrat dari perspektif Deleuze dan Guattari menghubungkan individu sekaligus sistem sosial sebagai (machinic assemblage). Hasilnya, hasrat konsumsi pemain MLBB tidak hanya di jelaskan dari relasi pemain dan objek virtual itu sendiri melainkan, juga mencakup jaringan kepentingan kapital yang lebih luas meliputi, pihak penyedia jaringan komunikasi, produsen perangkat mobile, perusahaan energi listrik, maupun perusahan finansial teknologi. Hasrat konsumsi sebagai aliran konstruktif, menghadirkan dinamika pemain yang melakukan deteritorialisasi. Proses ini meninggalkan garis batas (line of flight) nilai-nilai yang dibangun oleh wilayah kapitalisme digital dengan cara melakukan praktik cheating. Pada gilirannya praktik cheating sebagai materialisasi hasrat “chaos” itu ditangkap kembali melalui proses reteritorialisasi oleh pengembang ke dalam sistem pengawasan kecerdasan buatan (Artificial Intelligence) yakni dengan memberikan hukuman. Memastikan para pemain melakukan konsumsi virtual sesuai dengan tatanan yang berlaku. Maka, hasrat “chaos” telah dikodekan kembali oleh wilayah industri permainan daring, sehingga mendorong pemain mengeluarkan uangnya untuk membeli barang virtual secara terus menerus.
Immune Responses after a Third Dose of mRNA Vaccine Differ in Virus-Naive versus SARS-CoV-2– Recovered Dialysis Patients
Authors: Attias Philippe , Azzaoui Imane , El Karoui Khalil , de La Selle Andréa , Sokal Aurélien , Chappert Pascal , Grimbert Philippe , Fernandez Ignacio , Bouvier Magali , Samson Chloé , Dahmane Djamal , Rieu Philippe , Nizard Patrice , Fourati Slim , Sakhi Hamza , Mahévas Matthieu 
Published: June 2022

Background and objectives
After two doses of mRNA vaccine against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), patients on dialysis show a defective humoral response, but a third dose could increase anti–SARS-CoV-2 spike IgG titers. Responses could be different in virus-naive and SARS-CoV-2–recovered patients on dialysis. However, characterization of memory B cell response after three doses is lacking.

Design, setting, participants, & measurements
We evaluated the dynamics of antireceptor binding domain IgG titers and antireceptor binding domain memory B cells until 6 months after two and three doses (administered within 6 months after the second dose) of mRNA vaccine in SARS-CoV-2–recovered and virus-naive dialysis populations. Results were analyzed by ordinary one-way ANOVA, the Kruskal–Wallis test, or the Wilcoxon matched-pairs test as appropriate.

Results
In total, 108 individuals (59 patients on dialysis and 49 controls) were included. In virus-naive patients on dialysis, antireceptor binding domain IgG response was quantitatively lower after two doses compared with healthy controls, but IgG titers increased by three-fold after three doses (P=0.008). In SARS-CoV-2–recovered patients on dialysis, antireceptor binding domain IgG titers after two doses were significantly higher compared with virus-naive patients on dialysis but did not significantly increase after a third dose. Regarding memory B cell response, we detected receptor binding domain–specific memory B cells at similar proportions in virus-naive patients on dialysis and vaccinated controls after two doses. Moreover, a strong receptor binding domain–specific memory B cell expansion was observed after the third dose in virus-naive patients on dialysis (5.5-fold; P<0.001). However, in SARS-CoV-2–recovered patients on dialysis, antireceptor binding domain memory B cells remained unchanged after the third dose.

Conclusions
The third dose of mRNA vaccine given within 6 months after the second dose boosts serologic and memory response in virus-naive patients but not in SARS-CoV-2–recovered patients on dialysis.

Clinical Trial registry name and registration number:
COVID-19: SARS-CoV-2 Specific Memory B and T-CD4+ Cells (MEMO-COV2), NCT04402892
Evaluación de hongos entomopatógenos y antagonistas para el manejo de eurhizococcus colombianus en el Valle del Cauca, Colombia
Authors: Narváez Benítez Astrid Beatriz , Vásquez Amariles Herney Dario , Zapata Ospina Pedro Antonio , Caicedo Vallejo Ana Milena 
Published: June 2022

Contextualización: La mora de castilla (Rubus glaucus Benth) es una de las frutas de mayor comercialización e importancia en Colombia y en toda la zona Andina. Este cultivo es afectado por E. colombianus; insecto plaga presente en mora y en otros cultivos como tomate de árbol, lulo, uva entre otros.
Vacío de conocimiento: No se conoce la efectividad de los biocontroladores en el manejo de perla de tierra en condiciones de campo.
Propósito: Evaluar la efectividad de los biocontroladores nativos M. anisopliae e I. fumosoroseus con productos comerciales con dos métodos de aplicación.
Metodología: La investigación se realizó en la Finca Altamira del municipio de Guacarí (Valle del Cauca) localizada a los 2990 msnm. Se seleccionaron 120 plantas, se tomó una muestra de individuos de E. colombianus para reactivación de los hongos en laboratorio; adicionalmente, se evaluó la población inicial antes de la aplicación de los tratamientos, en un diseño experimental de parcelas subdivididas con arreglo factorial 4x2x3. Las evaluaciones se llevaron a cabo cada ocho días a partir del mes de la primera aplicación. Las evaluaciones se hicieron durante un periodo de mes y medio.

Resultados y conclusiones: Se encontró que la población inicial promedio de E. colombianus era de 31.4 individuos en diferentes estadios en las 120 plantas. Los estadíos con mayor frecuencia encontrados fueron el primero y segundo instar, desde el cuello de la raíz hasta una profundidad de 80 a 120 cm.
Los tratamientos y método que causaron mayor efectividad sobre E. colombianus fue M. anisopliae aplicado con inyector, donde se obtuvo un promedio del 78% de individuos muertos, seguido I. fumosoroseus con un promedio de 75% en contraste el tratamiento M. anisopliae aplicado con bomba fue el que presentó el menor promedio de individuos con un total de 17% de individuos muertos por los hongos al cabo de 45 días.
Exploring Verbal Interaction of Non Language Subject Classroom
Authors: Ratmanida Ratmanida , Zainil Yetty , Ardi Havid 
Published: June 2022

Given the important role of verbal interaction in teaching and learning process and shaping students’ attitude have been the subject of interest of several researchers. The aim of the study was to explore the pattern of verbal Interaction of non language subject at one of the fledgling international standard schools (FISS) in Padang. The site of the study is SMA 1 Padang. Participants of the research were 2 Physics teachers along with their students. Data of this study were drawn from direct classroom observation, and intensive interview; and these data were analyzed quantitatively and qualitatively. The result of study reveals that the highest occurrences of teacher-students interactions patterns are Explanation (E), Asking Question (AQ), and the category of Accept and Used of idea of Pupils (AUIP). Meanwhile, students-teacher interaction consisted of three categories, namely Classical Response (CR), Individual Response (IR), and student initiation (SI). Classical response was found to be the highest occurrence. It indicated that the teacher was still dominated the classroom interaction that needs to be shifted to students-oriented.
A locally polynomial method for solving a system of linear inequalities
Authors: Evtushenko Yuri , Szkatuła Krzysztof , Tretyakov Alexey 
Published: June 2022

Abstract
The paper proposes a method for solving systems of linear inequalities. This method determines in a finite number of iterations whether the given system of linear ineqalities has a solution. If it does, the solution for the given system of linear inequalities is provided. The computational complexity of the proposed method is locally polynomial.
Model of a minimal risk portfolio under hybrid uncertainty
Authors: Yazenin Alexander V. , Soldatenko Ilia S. 
Published: June 2022

Abstract
The article is devoted to the development and study of a model of a minimal risk portfolio under conditions of hybrid uncertainty of possibilistic-probabilistic type. In this model, the interaction of fuzzy parameters is described by both the strongest and the weakest triangular norms. The formula for variance of a portfolio is given that allows for estimating its risk. Models of acceptable portfolios are based on the principle of expected possibility or on the basis of fulfilling the restriction on the possibility/necessity and probability of the level of portfolio return that is acceptable to an investor. Equivalent deterministic analogues of the models are constructed and their solution methods are developed. Theorems describing a set of investment opportunities are proven. The obtained results are demonstrated on a model example.
An ant algorithm for the maximum number of 3-cliques in 3-partite graphs
Authors: Schiff Krzysztof 
Published: June 2022

Abstract
The problem of finding the maximum number of d-vertices cliques (d = 3) in d-partite graph (d = 3) when graph density q is lower than 1 is an important problem in combinatorial optimization and it is one of many NP-complete problems. For this problem a meta-heuristic algorithm has been developed, namely an ant colony optimization algorithm. In this paper a new development of this ant algorithm and experimental results are presented. The problem of finding the maximum number of 3-vertices cliques can be encountered in computer image analysis, computer vision applications, automation and robotic vision systems. The optimal solution of this problem boils down to finding a set of 3-vertices cliques in a 3-partite graph and this set should have cardinality as high as possible. The elaborated ant colony algorithm can be easily modified for d-dimensional problems, that is for finding the maximum number of d-vertices cliques in a d-partite graph.
Fasting in mood disorders and its potential therapeutic aspects -narrative review
Authors: Halczuk Izabela , Nowak Katarzyna , Chiriboga Sylvia , Rog Joanna 
Published: June 2022

Abstract

Introduction: Fasting is defined as a period of voluntary abstinence from eating food for religious, therapeutic or political reasons, which is associated with a reduction in the supply of sources (kilocalories) to the body. There are different types of fasting, including short, long or intermittent fasting. It has been shown that the use of different types of fasting can influence the occurrence of mood disorders. The aim of this review was to search for the relationship between the use of fasting and mood disorders and its potential use as a therapeutic method.

Material and method: The available literature was reviewed by searching the PubMed and Google Scholar databases using the following keywords: fasting, intermittent fasting, mood disorders, depression, Ramadan, for studies listed from database inception to November 2021.

Results: A review of the collected scientific articles indicates that the dietary restrictions, including both daily restriction of caloric consumption and the use of intermittent fasting (IF), has potentially numerous health benefits in the co-treatment of mental diseases. However, due to conflicting results, further clinical trials in mentally ill people should be conducted. It is worth remembering that among patients with mental illnesses there are somatically ill. IF in these people may require additional nutritional modifications or discontinuation of therapy.

Conclusions: Dietary restriction and fasting are promising methods in co-therapy of mood disorders treatment. However, implementing therapy needs earlier individual evaluation of their benefits and risk, the same as patient’s feasibility of implementing this type of intervention.
Smart City Readiness in South African Municipalities: A Qualitative Study
Authors: Enwereji Prince Chukwuneme , Uwizeyimana Dominique 
Published: June 2022

Abstract
This study investigated the meaning of a smart city concept, the limitations of municipal role players to adopt the smart city, and the recommendations to facilitate the adoption of a smart city concept in the municipalities of the North West province. A qualitative research approach was adopted to collect data from the participants, which facilitated adequate interactions with the participants through open-ended interviews. Twenty participants were selected purposively to participate in this study through an online platform. Data were analysed using Atlas-ti software (version 8.2), themes and categories were generated and discussed. Findings from the study depict that a smart city concept entails a city that enables communication using advanced technology, big data, the Internet of Things (IoT), and the Industrial Internet of Things (IIoT). Findings further revealed that the limitation of achieving a smart city in South African municipalities includes a lack of financial resources, inadequate infrastructure, delays in the decision-making process, lack of strategic leadership, corruption of role players, inability to implement research outcomes, and lack of investors. The study recommended, inter alia, that the municipal leadership should encourage techno-centric governance, a source for external funding, engage knowledgeable strategic leaders, facilitate public education, and SMME ICT inclusive strategy.
Human Capital and Economic Growth in Romania: A Vector Error Correction Model (VECM)
Authors: Andrei Dalina-Maria 
Published: June 2022

Abstract
This paper aims to evaluate the human capital on economic growth impact in Romania. Variables have been selected according to an endogenous growth model basing on including the human capital in the Cobb-Douglas production function (Lucas, 1988). As all over usual, here gross domestic product (GDP) will be the endogenous of gross fixed capital formation (GFCF, as physical capital stock), employment (as labour), life expectancy and secondary enrolment rate(as proxies for human capital). We also use expenditure in research and development (R&D) sector (as its percentage in GDP), as control variable. Once our model developed, variables are found as integrated of order one (1) and co-integrated, here allowing a vector error correction model (VECM) for estimation. This will be a system of six equations covering a 25 years (1995-2019) interval for Romania. A long-term relation comes out of our empirical findings, as similarly to Wang (2016), so the GDP growth sees itself determined by: secondary school enrolment, life expectancy(i.e. for human capital), R&D expenditure and labour. Short run causalities have not been found significant for this model
Backward Integration Policy and Manufacturing Firms Value Added in Nigeria
Authors: Oshodi Ayodele Folorunso 
Published: June 2022

AbstractResearch Purpose:The paper investigates the impact of the backward integration policy on manufacturing firms’ value added in Nigeria. It complements the existing literature and extends the frontier of knowledge by evaluating the impact of backward integration policy (local raw materials as proxy) on manufacturing firms’ value added in Nigeria.Design/Methodology/Approach:Firm-level data were sourced from the annual reports and statement of accounts of 49 sampled manufacturing firms, Central Bank of Nigeria statistical bulletin, National Bureau of Statistics annual abstract and Nigeria Customs Service tariff books for the period (2002-2020). The Fisher-type Augmented Dickey-Fuller (ADF) unit root test procedure was employed to examine the stationarity properties of each of the variables used in the study. The test was necessary to verify the time series property of the panel data employed. Thereafter, the Pooled Ordinary Least Squares (OLS) method was employed for the regression.Findings:The findings show that backward integration policy through the use of local raw materials in production significantly led to an increase in manufacturing firms’ value added in Nigeria. An increase in the use of local raw materials in production leads to an increase in value added by all sampled firms across manufacturing industries in Nigeria. The findings also reveal that fixed assets, employment, energy cost and exchange rate have a significant positive influence on the value added of all sampled manufacturing firms, while the tax has a significant negative coefficient, implying that as tax paid by firms increases, the value added of manufacturing firms declines in Nigeria.Originality/Value/Practical implications:Most previous studies focused on a single industry, but this study investigates the impact of backward integration policy on manufacturing firms’ value added in Nigeria. The study covers a wide range of firms and industries more than previous studies. It uses firm-level and panel data of manufacturing firms in Nigeria, which makes the study unique. It is the first study that hypothesises that backward integration can be used to improve the value added of manufacturing firms and consequently reduce import dependency, promote Nigeria’s product competitiveness and create more employment in Nigeria.
Academics’ Perceptions of Constraints to Quality Assurance Implementation in Higher Education in Algeria
Authors: Wissam Belimane , Amina Chahed 
Published: June 2022

Abstract

Research purpose. This paper aims to explore Algerian academics’ perceptions of constraints to quality assurance recently implemented in higher education.

Design / Methodology / Approach. Data was collected through a survey. An online questionnaire with a 5-point Likert scale was distributed to the Algerian academics through a snowball sampling method. In total, 121 answers were collected and treated using descriptive statistics.

Findings. The analysis reveals that academics perceived constraints in all dimensions examined in this study. The main constraints were: the low involvement of different stakeholders in quality assurance projects, the weakness of internal and external communication, the absence of evidence of compliance with the national standard, the lack of involvement of academics in the development of action plans and the lack of follow-up.
These constraints seem to hinder the quality assurance implementation process at the Higher Education Institutions (of the sample). These results may represent a challenge for institutions.

Originality / Value / Practical implications. The study is original in that it examines a recent subject that is little dealt with in Algeria. The main contribution of this research is an analytical discussion of perceptions of academics about quality barriers encountered in Higher Education Institutions, leading to a significant enrichment of the literature.
Investigation of Factors Determining Lithuanian Public Debt to Foreign Countries
Authors: Seržanė Milena , Askoldavičiūtė Viktorija 
Published: June 2022

Abstract

Research purpose. The study aims to examine which indicators influence the amount of Lithuanian public debt to foreign countries.

Design / Methodology / Approach. First of all, in order to find out what could be preliminary indicators influencing the public debt, a comprehensive literature review has been done. This was implemented with the main goal of finding out the influencing independent variables, which were used for the next calculation. Successively was the selection procedure of the appropriate methodology for solving similar tasks. The pairwise and multivariate regression analyses have been carried out with the collected data.

Findings. Empirical research has shown that all independent variables are significant and can be used for pairwise regression analysis. After doing this, the authors found that no regression equation could be completed with no variable, which means that none of the variables affects the dependent variable (altogether). A multivariate regression analysis was also performed to check the impact of the selected variables on public debt. The regression equation was succeeded only when the criterion “population” had been eliminated. The results show that GDP, the unemployment rate, inflation and the minimum wage (in composition) may have an impact on the government’s external debt.

Originality / Value / Practical implications. Due to the emergency (pandemic) situation, the Lithuanian state borrowed a considerable amount of money from the European Commission - last year, it was planned to borrow 2.7 billion according to the initial budget, but due to the situation, the debt was increased by 5.1 billion Euros. The concept of reasoning the amount of public debt to foreign countries is valuable not only in the concept of the COVID pandemic. This empirical research analyses the critical substances which affect the public debt based on factual statistics, correlation analysis and pairwise and multivariate regression.