bluuebunny/crossref_metadata_2025 huggingface dataset:
Emergent behaviours in multi-agent systems with Evolutionary Game Theory
Authors: Han The Anh
Published: September 2022

The mechanisms of emergence and evolution of collective behaviours in dynamical Multi-Agent Systems (MAS) of multiple interacting agents, with diverse behavioral strategies in co-presence, have been undergoing mathematical study via Evolutionary Game Theory (EGT). Their systematic study also resorts to agent-based modelling and simulation (ABM) techniques, thus enabling the study of aforesaid mechanisms under a variety of conditions, parameters, and alternative virtual games. This paper summarises some main research directions and challenges tackled in our group, using methods from EGT and ABM. These range from the introduction of cognitive and emotional mechanisms into agents’ implementation in an evolving MAS, to the cost-efficient interference for promoting prosocial behaviours in complex networks, to the regulation and governance of AI safety development ecology, and to the equilibrium analysis of random evolutionary multi-player games. This brief aims to sensitize the reader to EGT based issues, results and prospects, which are accruing in importance for the modeling of minds with machines and the engineering of prosocial behaviours in dynamical MAS, with impact on our understanding of the emergence and stability of collective behaviours. In all cases, important open problems in MAS research as viewed or prioritised by the group are described.
Multi-agent systems for computational economics and finance
Authors: Kampouridis Michael , Kanellopoulos Panagiotis , Kyropoulou Maria , Melissourgos Themistoklis , Voudouris Alexandros A.
Published: September 2022

In this article we survey the main research topics of our group at the University of Essex. Our research interests lie at the intersection of theoretical computer science, artificial intelligence, and economic theory. In particular, we focus on the design and analysis of mechanisms for systems involving multiple strategic agents, both from a theoretical and an applied perspective. We present an overview of our group’s activities, as well as its members, and then discuss in detail past, present, and future work in multi-agent systems.
Perspectives on the system-level design of a safe autonomous driving stack
Authors: Hawasly Majd , Sadeghi Jonathan , Antonello Morris , Albrecht Stefano V. , Redford John , Ramamoorthy Subramanian
Published: September 2022

Achieving safe and robust autonomy is the key bottleneck on the path towards broader adoption of autonomous vehicles technology. This motivates going beyond extrinsic metrics such as miles between disengagement, and calls for approaches that embody safety by design. In this paper, we address some aspects of this challenge, with emphasis on issues of motion planning and prediction. We do this through description of novel approaches taken to solving selected sub-problems within an autonomous driving stack, in the process introducing the design philosophy being adopted within Five. This includes safe-by-design planning, interpretable as well as verifiable prediction, and modelling of perception errors to enable effective sim-to-real and real-to-sim transfer within the testing pipeline of a realistic autonomous system.
DPre: Effective preprocessing techniques for social media depressive text
Authors: Rawat Tara , Jain Shikha
Published: September 2022

Depression has become one of the most common public health issues. Several people with depression rely on social media to express their grief. The text data generated by these users can be exploited to promote study in this area in order to detect early-stage depression and provide support. However, to develop a reliable automatic depression detection system, the social media text cannot be used directly as there is a lot of irrelevant, inaccurate, and noisy information available. Moreover, the basic preprocessing steps which are used with most of the machine learning models have limited functionality and thus lead to lots of information loss. This loss of information is not affordable especially in the domain of affective computing (mental health) for text. In this paper, we present various preprocessing techniques for depressive text, DPre, to obtain readable text from raw and noisy tweets. This method can help in minimizing the loss of information and expressions hidden in the raw tweet. Moreover, the processed and clean text will be ready to input into any machine learning algorithm. The readability of the processed text is evaluated and compared with raw tweets using four readability scores: Flesch Reading Score, Flesch_kincaid Score, the Coleman-Liau Index, and Dale_Chall Score. Compared to basic state-of-art preprocessing methods, the proposed method significantly improved the readability score.
Longitudinal Associations of Plasma TMAO and Related Metabolites with Cognitive Impairment and Dementia in Older Adults: The Cardiovascular Health Study
Authors: de Oliveira Otto Marcia C. , Li Xinmin S. , Wang Zeneng , Siscovick David S. , Newman Anne B. , Lai Heidi Tsz Mung , Nemet Ina , Lee Yujin , Wang Meng , Fretts Amanda , Lemaitre Rozenn N. , Tang W.H. Wilson , Lopez Oscar , Hazen Stanley L. , Mozaffarian Dariush
Published: September 2022

Background: Animal studies suggest that gut microbiome metabolites such as trimethylamine N-oxide (TMAO) may influence cognitive function and dementia risk. However potential health effects of TMAO and related metabolites remain unclear. Objective: We examined prospective associations of TMAO, γ-butyrobetaine, crotonobetaine, carnitine, choline, and betaine with risk of cognitive impairment and dementia among older adults aged 65 years and older in the Cardiovascular Health Study (CHS). Methods: TMAO and metabolites were measured in stored plasma specimens collected at baseline. Incident cognitive impairment was assessed using the 100-point Modified Mini-Mental State Examination administered serially up to 7 times. Clinical dementia was identified using neuropsychological tests adjudicated by CHS Cognition Study investigators, and by ICD-9 codes from linked Medicare data. Associations of each metabolite with cognitive outcomes were assessed using Cox proportional hazards models. Results: Over a median of 13 years of follow-up, 529 cases of cognitive impairment, and 522 of dementia were identified. After multivariable adjustment for relevant risk factors, no associations were seen with TMAO, carnitine, choline, or betaine. In contrast, higher crotonobetaine was associated with 20–32% higher risk of cognitive impairment and dementia per interquintile range (IQR), while γ-butyrobetaine was associated with ∼25% lower risk of the same cognitive outcomes per IQR.∥ Conclusion: These findings suggest that γ-butyrobetaine, crotonobetaine, two gut microbe and host metabolites, are associated with risk of cognitive impairment and dementia. Our results indicate a need for mechanistic studies evaluating potential effects of these metabolites, and their interconversion on brain health, especially later in life.
Coal mine electrical safety management and accident prevention based on neural network and signal processing
Authors: Miao Leigang , Niu Yuanyuan
Published: September 2022

Based on the upgrading of electronic components, communication and computer technology have made rapid progress. Neural network technology which mainly relies on the simulation of animal nerves, realize large-scale node information processing functions. Signal processing can complete the processing of various types of signals to obtain key data. With the further shortage of global energy, countries have begun to pay attention to the development of energy. As one of the traditional energy supply methods, coal mines have received a lot of financial support from the government. However, coal mine safety accidents have always been the focus of many enterprises and governments. In the process of coal mine development, there are many electrical equipment, and there are many changes in the underground environment. The problems of flooding, subsidence, and rodents biting off the line cause the paralysis of the electrical system and eventually lead to safety accidents in coal mine development. The neural network technology, can add all the electrical equipment in the mine operation, and to the network for analysis, and the signal processing technology can centrally process the signals of a variety of electrical equipment, and analyze the abnormal signals sent by the electrical equipment, and finally realize the prediction of electrical accidents. This paper firstly introduces the neural network and signal processing technology used in the text. Using the examples of hidden safety hazards in mining areas discovered during the team’s inspection as a basis, and combining with the actual situation in our country, these cases are classified. Next, using literature analysis and comparative research methods to analyze the problems existing in the current coal mine electrical safety management and accident prevention. A programme of safety management and accident prevention. The O-Net monitoring system constructed by the institute has its own unique advantage that it has more inputs than other networks, and its network structure is more complex and diverse, which of course also shows that it has more functions than other networks. The results of the scheme test show that the scheme can effectively reduce the probability of electrical safety accidents in coal mines, and at the same time effectively improve the efficiency of electrical safety management in coal mines. After multiple cycles of verification, the algorithm designed in this study has a very good effect in improving the safety of electrical equipment in coal mines, and the risk factors of each work have been effectively controlled, which is worthy of promotion in coal mines with similar environments.
Industrial internet security evaluation technology based on digital twin
Authors: Chen Zhitao , Yang Xiaodong , Jin Bo , Guo Mingya , Li Miaomiao
Published: September 2022

In the process of industrial Internet security situation analysis, affected by the perception model, the average approximation error of security assessment results is high. Therefore, an industrial Internet security evaluation technology based on digital twin is proposed. Design the industrial Internet assessment mode, design the industrial Internet technical framework according to the digital twin, and clarify the elements of security situation assessment. According to the sliding time window, the fuzzy knowledge base is established. The security situation awareness model is designed based on digital twin, combined with the calculation results of fuzzy closeness to improve the accuracy of automatic perception results. Establish a multi port access protocol and realize the industrial Internet security evaluation technology under the digital twin with the help of the backed up coded key file. The experimental results show that the accuracy of the evaluation results of the design method is always above 95%, the tamper-proof success rate is always above 95%, and the physical value difference between the final values is 0.10. Therefore, this method effectively improves the evaluation accuracy. and tamper-proof success rate, reducing the difference value, it effectively controls the deviation of Internet operation data, provides security, is feasible and effective.
System dynamic simulation of emergent material distribution strategies in response to typhoon disasters
Authors: Zhong Zufeng
Published: September 2022

Emergency materials transportation, both economic and societal, is one of the most important parts of unconventional emergency management. In the present study, we built a quantitative simulation model underlying the mechanism of emergency materials transportation specifically regarding typhoon disasters. We then explored the internal influence factors and association mechanisms of the dynamic model as they relate to the effective control and guidance of emergency materials transportation. Using system dynamic model, this paper conducts the simulation study to identify the key influencing factors for the speed of emergency materials transportation. The relationships between influencing factors and the emergency capability were analyzed qualitatively. On this basis, SD flow chart was built. A typhoon disaster event in Leizhou Peninsula, China, is used as an example to validate the effectiveness and feasibility of the proposed model, as well as to simulate different emergency management strategies. Results of governmental emergency materials transportation are key factors in process of emergency formulating the policy to improve the speed and efficiency for emergency materials transportation during the emergency management process.
Real estate risk based on combination of factor analysis and spatial statistics
Authors: Yuan Jianlin
Published: September 2022

In 2020, COVID-19 dragged down the economic development of various countries and the real estate industry was seriously affected. According to the meaning construction theory (SMT), this paper selects the real estate risk indicators to accurately measure the risk of Liaoning real estate. Based on the factor analysis method, the weight of real estate risk index in Liaoning province is calculated, which provides the basis for the further development of real estate risk in Liaoning province. According to the theory of spatial statistics, the real estate risk model of Liaoning province is constructed, and the real estate risk analysis of Liaoning province is completed. In order to accurately measure the effect of real estate risk spatial model in Liaoning province, the least square regression, spatial error regression, spatial error regression (FSEM) and spatial lag regression (FSLM) are compared. The regression effect of spatial lag regression model is the best. According to the results of the spatial model of real estate in Liaoning province, the spatial distribution of real estate in different cities in Liaoning province has a certain correlation, but the degree of connection is low. By using the spatial risk model of real estate in Liaoning province, the risk value of real estate in 2019 is low.
Security control of internet of things node access method using blockchain technology
Authors: Zhao Jie
Published: September 2022

Due to the problems of high false positive rate and low abnormal detection rate in the current IoT node access security control method, based on this, this paper designs a new IoT node access security control method. Firstly, the information security sharing structure is designed, the data collection work is completed, and the data is preprocessed. The preprocessed data is then shared and backed up through blockchain technology. Finally, take the login time, number of logins, login time, number of query results, query time and number of queries as the access constraints, and complete the security control of the access to the IoT nodes by correctly setting the access authorization conditions. The experimental results show that the false positive rate of IoT access behavior detection is always lower than 0.3%, the detection rate of IoT access anomaly is low, the detection sensitivity is higher than 80%, and the node encryption complexity is low, which has certain application value.
Optimal row-column designs for CDC method (1)
Authors: Sharma Mahendra Kumar , Tadess Mekonnen , Ibrahim Mohammed Omer
Published: September 2022

In the present article, we are presenting row-column designs for Griffing’s complete diallel cross methods (1) for p parents by using a complete set of (p-1) mutually orthogonal Latin squares, when p is prime or a power of prime. The row-column designs for Griffing’s methods (1) are new and universally optimal in the sense of Kempthrone (1956) and Kiefer (1975). The row-column designs for methods (1) are orthogonally blocked designs. In an orthogonally blocked design no loss of efficiency on the comparisons of interest is incurred due to blocking. The analysis includes the analysis of variance (ANOVA), estimation of general combining ability (gca), specific combining ability (sca) and reciprocal combining ability (rca). Tables of universally optimal row-column designs have been provided.
Multi objective task scheduling based on hybrid metaheuristic algorithm for cloud environment
Authors: Neelakantan P. , Yadav N. Sudhakar
Published: September 2022

Cloud computing is gaining a huge popularity for on-demand services on a pay-per-use basis. However, single data centre is restricted in offering the services, as it does not have unlimited resource capacity mostly in the peak demand time. Generally, the count of Virtual Machines (VM) is more in public cloud; still, the security is not ensured. In contrast, the VMs are limited in private cloud with high security. So, the consideration of security levels in task scheduling is remains to be more critical for secured processing. This works intends to afford the optimization strategies for optimal task scheduling with multi-objective constraints in cloud environment. Accordingly, the proposed optimal task allocation framework considers the objectives such as execution time, risk probability, and task priority. For this, a new hybrid optimization algorithm known as Clan Updated Seagull Optimization (CUSO) algorithm is introduced in this work, which is the conceptual blending of Elephant Herding Optimization (EHO) and Seagull Optimization Algorithm (SOA). Finally, the performance of proposed work is evaluated over other conventional models with respect to certain performance measures.
Challenges and review of goal-oriented requirements engineering based competitive non-functional requirements analysis
Authors: Sumesh Sreenithya , Krishna Aneesh
Published: September 2022

Modelling and analysis in software system development can be especially challenging in early requirements engineering (RE), where high-level system non-functional requirements are discovered. In the early stage, hard to measure non-functional requirements are critical; understanding the interactions between systems and stakeholders is key to system success. Goal-oriented requirements engineering (GORE) has been successful in dealing with the issues that may arise during the analysis of requirements. While assisting in the analysis of requirements, i* goal model is the only framework available among the many GORE models, emphasising socio-technical domains such as stakeholders/actors/players, goals/objectives, dependencies and design options/alternatives. Most current approaches to goal-model analysis use quantitative methods or formal information that is hard to gather in early RE, or produce analysis results automatically over models. In real-time competitive applications, the goals of various stakeholders are conflicting in complex systems. Also, each of the system goals have various alternative design options for the systems and optimal selection of goal-oriented requirements faces several challenges in requirements-based engineering. Hence, effective decision-making frameworks are necessary to capture the real issues to achieve multi-objective optimisation of interdependent actors. To obtain an optimum strategy for interdependent actors in the i* goal model must balance the opposing goals reciprocally. To achieve this, the model needs to go beyond the analytical decision-making tools such as sensitivity analysis tasks, cost-effective analysis process, game-theoretic concepts and analytical hierarchical process. To address these requirements, this paper discusses the design of novel frameworks for an agent-based goal model analysis in requirements engineering. The objective of this paper is to provide a brief and comprehensive review of the major efforts undertaken along this line of research. In this paper we have prepared literature review of the concepts, terminology, significance and techniques of Goal oriented requirements engineering in the context of non-functional requirements analysis.
Job insecurity and psychological distress during the COVID-19 outbreak: The moderating role of perceived supervisor support among hotel employees in Malaysia
Authors: Appannan Jeya Santhini , Maheswaran Logeswary , Raimee Nuraishah , Lim Wan Leng , Amran Faridah Hanum
Published: September 2022

BACKGROUND: Millions of employees were laid off during the COVID-19 pandemic. The hospitality industry has been gravely hit by this crisis. OBJECTIVE: Drawing from the theory of conservation of resources (COR), our study aims to examine possible factors that influence turnover intention among hotel employees. METHODS: The hypotheses were tested on 141 hotel employees from Klang Valley, Malaysia. Data were collected by means of questionnaires, purposive sampling was employed, and PLS-SEM was used in performing the data analyses. RESULTS: Job insecurity and psychological distress were found to be the potent antecedent of turnover intention. In contrast, the role of perceived supervisor support did not significantly moderate the effects of both job insecurity and psychological distress on the quitting intention. CONCLUSION: Re-looking at existing policies and leadership styles may be fruitful in ensuring the sustainability path of an organization. This is pivotal in growing back the entire hospitality industry that has gravely affected by COVID-19.
SAFETY AND EFFICACY OF MONOPOLAR TRANSURETHRAL RESECTION OF PROSTATE IN LABORATORY PARAMETERS
Authors: Putra Prima Ciko Ade , H. Rajasa , Herda Achmad Rizky
Published: September 2022

Objective: This study aims to assess the safety and effectiveness of transurethral resection of prostate using preoperative and postoperative laboratory parameters. Material & Methods: This was a retrospective study of all patients treated with transurethral resection of prostate at Karawang Hospital from January – August 2018. The laboratory parameters are measured in the preoperative and postoperative period, including haemoglobin, leucocyte, and electrolyte. The outcomes of the study were the comparison of laboratory parameters before and after monopolar transurethral resection of prostate. Results: A total of 142 patients were enrolled in this retrospective study. The mean age was 68 years. Transurethral resection of prostate was performed in all patients. The mean of preoperative level of haemoglobin was higher compared to postoperative level (13.21 gr/dL vs 12.79 gr/dL; p = 0.000). The mean preoperative level of leucocyte was higher during postoperative time compared to preoperative time (13.450 vs 7503.52 p = 0.000). The sodium level was lower postoperative than preoperative ( 137.76 vs 139.39; p = 0.000 ). The potassium level was higher preoperative than in postoperative (4.12 vs 4.02, p = 0.000 ). The logistic regression was performed and shows no significant association between prostate resected weight and length of surgery compared to laboratory parameters. There was no patient who needed blood transfusion or having electrolyte derangement. Conclusion: Based on laboratory parameters, monopolar transurethral resection of prostate is safe and effective in the treatment of benign prostate hyperplasia.
Der Beitrag der Entwicklungspsychologie im Lehr- und Lernprozess
Authors: Gama Uberto Afonso Albuquerque da
Published: September 2022

Pädagogisches Handeln ist bei der Suche nach theoretischen Grundlagen und praktischen Wissens Erkenntnissen unerlässlich und muss eine dauerhafte Leistung in der Arbeit des Erziehers sein, damit er seine Leistung im Versuch, den Lehr-Lern-Prozess zu verbessern, anpassen und dazu beitragen kann Entwicklung des Menschen. Aus dieser Perspektive orientierte sich dieser Artikel an der Leitfrage: Welche theoretischen Annahmen über die auf den Lehr- und Lernprozess angewandte Entwicklungspsychologie gelten in der Literatur? Ziel war es dabei, einen einführenden und zusammenfassenden Zugang zu den aktuellen theoretischen Annahmen der Entwicklungspsychologie zum Lehr- und Lernprozess zu präsentieren. Daher wurde in diesem Artikel die bibliografische Recherche als Methodik verwendet, durch die festgestellt wurde, dass angesichts der Unterstützung, die der systemischen Vision zuteil wurde, die durch die Dialektik bereichert wurde, derzeit die Möglichkeit besteht, nach einer vereinheitlichten Struktur theoretischer Perspektiven zu suchen seit den Anfängen der Entwicklungspsychologie fragmentiert, um zur Gesellschaft beizutragen und gegenwärtige, spirituelle und ethische Bürger aufzubauen.
Performance analysis of low dimensional word embeddings to support green computing
Authors: Csépányi-Fürjes László
Published: September 2022

It has become increasingly important to pay attention how much energy we use to operate various Artificial Intelligence (AI) and Machine Learning (ML) systems. In order to implement environmentally responsible solutions we need to reconsider our used storage resources and computational power. Training a natural language model is a time and energy demanding process. In recent years the language models are becoming extremely large and the trend is growing. The building process of these models are consuming an extremely large amount of computational power hence these demands huge amounts of energy. In our research we trained and evaluated low dimensional word2vec embedding models and analyzed their performance on building transition based dependency parsers to show that low dimensional models are still competitive and in many use cases may be sufficient.
Analysis of the Maximal Pattern Mining method and its variants
Authors: Gégény Dávid , Radeleczki Sándor
Published: September 2022

In this paper, within the framework of process mining we examine the Maximal Pattern Mining method introduced by Liesaputra et al. in [1]. This method constructs a transition graph, i.e. a labelled directed graph for traces with similar structure. The idea behind the algorithm is to analyze the traces in the event log, identify loops, parallel events and optionality between them, in order to determine the maximal patterns. In [1], the authors provide a pseudo code for the skeleton of their algorithm and discuss some parts, but other parts are not detailed. Here, we briefly discuss the steps of the algorithm and elaborate the steps that are not explained in [1]. We introduce some new subroutines to handle the loops, parallel and optional sequences.
Community-Based Development Program and Projects of the University of Makati in Porac, Pampanga: An Evaluative Study
Authors: FERRER RENELIZA M.
Published: September 2022

This study aimed to evaluate the extent of benefits gained by the indigenous people of the resettlement area in Barangay Camias, Municipality of Porac, Pampanga, in the community-based development programs and projects of the University of Makati as to entrepreneurial and livelihood programs, infrastructure developments, health services, and social welfare projects. Descriptive-survey design was used to describe the present situation of the barangay and the help that these community-based programs and projects gave after these were realized. The findings revealed that the program-recipients benefited from the community-based development programs and projects; positive feedback was received from them; and perceptions and responses of the program-recipients, therefore, attested the responsiveness of the community-based development program and projects of the University of Makati to the needs of the Aeta Community. The researchers humbly recommend that a periodic impact assessment must be conducted (at least annually) in order to maintain and sustain the community-based development program and projects of the University; and immersion and community-based extension programs for adopted communities shall be conducted regularly and continuously which involves all colleges, centers, administrative departments and students of the University.
GC-MS and LC-MS/MS Analysis of Bouea macrophylla Fruit Juice
Authors: Trifani Rina , Rabinowitz Oren , Abdillah Syamsudin , Sinaga Ernawati
Published: September 2022

Bouea macrophylla Griff is a member of the Anacardiaceae family, which has edible fruits. Due to the high nutritional value, appealing taste, and attractive color, the fruit juice of B. macrophylla has the potential to be developed as a functional beverage. The present study was conducted to determine the phytochemical profile of B. macrophylla fruit juice using GC-MS and LC-MS/MS. GC-MS analysis was performed with the Agilent Technologies 7890 Gas Chromatograph with automated sampling and tandem Agilent 5975 Mass Selective Detector and peak analysis with the Chemistation data system. LC-MS/MS QTOF analysis was performed with UPLC Waters I Class and tandem MS/MS Xevo G2S QTOF with UNIFI software. GC-MS analysis identified five compounds with a quality match of 90% and above, namely 3-pentadecylphenol (31.68%), 5,5’-(oxybis(methylene)]-bis-2-furancarboxy-aldehyde (5.67%), 5-(hydroxymethyl)-2-furancarboxy-aldehyde (23.51%),  4H-pyran-4-one, 2,3-dihydro-3,5-dihydro-6-methyl (5.00%), and n-hexadecanoic acid (4.71%). Five major compounds were identified for the first time in B. macrophylla fruit juice by LC-MS/MS analysis, i.e., (E)-hexadecyl-ferulate, digupigan A, eburicoic acid, hydroginkgolinic acid, and terminalic acid. The health benefit of some of these detected phytochemicals supports the use of juice as the main ingredient for functional food.
Investigating the Concepts Dandyism and Bunburyism in Oscar Wilde's The Importance of Being Earnest
Authors: Akbar Nadia Ali , Rawaa Jawad Kadhim
Published: September 2022

By the end of the eighteenth century, England witnessed a great event, that is, the French revolution, but what is more important is the British revolution which was the revolution of ideas. The Victorian age is an age of ideas, strictness, developments, depression, aristocracy, doubt, taboo, morals, and many other conventions. These changes are detected in great literary activities, discoveries in science, history, religion, politics, customs, and many other fields. Between the 30's and the 40s, many voices were heard through different kinds of art, showing the bad conditions of the working class. The major figure of the Victorian age is Oscar Wilde (1854 – 1900). He is the first to introduce problem plays, which deal with the problems of the age. His social comedies were not to solve social problems but to deliver his ideas about the vanity of his age.
Disorders Faced, Strategies of Survival, and Characteristics of MSME Entrepreneurs in the Fisheries Sector in the Era of Uncertainty
Authors: Syamsari  , M Syamsul Maarif  , Anggraeni Elisa , Amanah Siti
Published: September 2022

Micro, small and medium enterprises are the backbone of the economy in all countries, including Indonesia. Various disturbances that occur, especially in the era of uncertainty, have selected MSMEs. MSMEs that continue to exist show that these MSMEs have high resilience. This study aims to explore the disturbances faced and the survival strategy of MSMEs in the fisheries sector of Takalar Regency in an era of uncertainty. The research was conducted from August to October 2021. MSMEs in the fisheries sector in Takalar Regency are the object of research because this sector has experienced many disturbances but still exists and is one of the main contributors to the GRDP of Takalar Regency. The research method uses descriptive analysis and focuses on group discussion. Descriptive analysis data were obtained from in-depth surveys and interviews of 100 MSME entrepreneurs in the fisheries sector of Takalar Regency, and data for focus group discussion analysis were obtained from 10 msME experts in the fisheries sector. The results showed that internal factors of MSMEs and external factors caused supply disruptions and price stability in MSMEs in the fisheries sector of Takalar Regency. Internal factors of MSMEs are the quality and quantity of human resources, lack of technology, limited MSME finances, and low quality of the products produced. External factors are environmental damage, the phenomenon of climate change, water pollution, overfishing, high input prices, and fuel scarcity. MSMEs have tried to solve the causes of disruption in new ways and methods. The conclusion of this study is the disruption that occurs in MSMEs in the fisheries sector, namely, supply disruptions and price stability faced by MSMEs with innovative strategies.
Instructional Strategies and Integration of Critical Thinking Skills of Preservice English Teachers
Authors: NAOMI PANGANORON-JABONETE
Published: September 2022

Retaining quality teachers and declining numbers of language programs that will help students reach the goal of high proficiency levels for their success in today’s world has been a challenge in recent years. Language teachers have a great role to play in addressing the 21st-century learning needs of the students, e.g., critical thinking skills, which greatly rely on their innovative teaching pedagogies. This current study aimed to investigate the preparedness and effectiveness of the preservice English teachers with their instructional strategies in integrating critical thinking skills in language instruction. The population of the study was comprised of preservice English teachers assigned in secondary schools during their practice teaching stage. A modified researcher-made questionnaire-checklist was developed and validated with items on a four-point Likert Scale used to evaluate the strategies employed in integrating critical thinking skills in English language teaching through consecutive actual classroom teaching observations by the two (2) groups of mentors and by the preservice teachers themselves. The data revealed that based on the three (3) raters, the preservice English teachers have extensively integrated critical thinking skills in language instruction through the use of the higher-order- level of questioning along with analyzing, evaluating, and creating. The reported highest mean was in creating, and the lowest was in evaluating. The PSETs' extent of integration of critical thinking skills was secondly manifested through the provision of communicative tasks. The PSETs have signified three (3) communicative tasks that obtained the highest mean scores: [24] role plays (mean=3.53), [25] paired-shared activities (mean=3.52), and [19] small group work (mean=3.51). Likewise, they have identified the three (3) communicative activities with the lowest means, namely: [23] keeping a diary (mean=2.54), [6] interviews (mean=2.55), and jigsaw activities (mean=2.62). It was concluded that the preservice English teachers have extensively integrated critical thinking skills in English language teaching though there are instructional strategies along with questioning strategy through the use of higher-order-level of questions and the provision of communicative tasks that garnered low mean scores which recommend preservice English teachers to enhance maximum utilization of these teaching skills for effective integration of critical thinking skills in language instruction and eventually cater the learning needs of the 21st-century language learners. Hence, a capability enhancement program or training on the integration of critical thinking skills to preservice English teachers was also recommended based on the findings of the study.
LA COHESIÓN SOCIAL Y ESPACIAL EN EL ESPACIO PÚBLICO DE AGUASCALIENTES
Authors: González Lugo Jonathan Hammurabi
Published: September 2022

La presente obra explica la relación existente entre la configuración morfológica físico-espacial y los fenómenos socioculturales que se generan a partir de las prácticas al interior de los espacios públicos por parte de los usuarios, y los elementos que distingue la población, con los cuales se identifica, para su constitución como un “lugar”, que promueva la cohesión social, integrador y definidor de pertenencia, arraigo y parte fundamental de la estructura urbana de la ciudad. Para el esclarecimiento de los hechos se hace un análisis de parques y jardines en la ciudad de Aguascalientes –emergidos en la segunda mitad del siglo xx, en fraccionamientos de tipo medio–, a partir del análisis documental de los planos que describen la morfología de las unidades de análisis seleccionadas; la aplicación, análisis e interpretación de cuestionarios aplicados en campo, entrevistas y, finalmente, de representaciones gráficas del espacio público. Los resultados permiten establecer y comprobar las relaciones entre las características físicas de los parques y jardines, los usos, prácticas y las interacciones de la población al interior de estos.
Spherical Video-Based Virtual Reality (SVVR) Study: 360o-Video Implementation in English Learning Materials at Polytechnic Education
Authors: Rahmanu I Wayan Eka Dian , Lokman Altun
Published: September 2022

On the horizon of English language learning, students incline to apply modern and contemporary media towards English language learning in Polytechnic education. The current learning tools dominantly apply the traditional technique, for example, PowerPoint, slides, and ordinary video which potentially mitigates learners’ spark in learning the lesson. Students in the Polytechnic State of Bali were analysed to provide the perception of Spherical Video-Based Virtual Reality (SVVR) through English language learning in the classroom. The theory of unified theory of acceptance and use of technology (UTAUT) was employed to measure the learners’ argument on these learning tools. The simple quantitative instruments were applied to analyse the data. The SVVR contribute to the students’ eagerness in learning the English language. Although the easiness of this tool enhances learners’ desire in the English language instructional, the necessity of high internet band-witch and access to run the SVVR in high resolution is encouraged.
Opportunities for integrated education in STEM
Authors: Kersánszki Tamás , Jolien de Meester  , Sascha Spikic  , Judit Módné Takács
Published: September 2022

Teachers in STEM (Science + Technology + Engineering + Mathematics = Science + Technology + Engineering + Mathematics) have a unique role in motivating and attracting their students' professions for which science, technology, engineering or mathematics degrees are required. However, STEM teachers do not acquire such interdisciplinary, interrelated in-depth knowledge sufficient for education during their training. Interdisciplinary STEM education requires teachers to have a good understanding and understanding of the concept of integrated STEM education (C. C. Johnson et al., 2020). In primary and secondary education, teachers in science and mathematics should be trained interdisciplinary in parallel with discipline-specific pedagogical studies. (Holik - Sanda, 2021).
Welcome
Authors: Benedek András
Published: September 2022

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Development of Institutional Leadership in the Hungarian Education System
Authors: Vereckei Judit  , Benedek András
Published: September 2022

The study provides a systematic pedagogical overview of the training courses that prepare leaders of Hungary's educational institutions. By education, the authors mean the system established by Act CXC of 2011 on public education and Act LXXX of 2019 on vocational education and training, i.e. the system of educational institutions created by the secession of vocational education and training from public education: i.e. kindergarten, primary and secondary schools (secondary grammar school, vocational grammar school and vocational school), art schools and colleges. The paper also analyses the basic content adequacy of the training, i.e. whether there is a match between the range of management activities and the range of knowledge offered. Given the deficient number of training courses for development purposes besides preparation in the system of educational leaders' training, and as priority is given to the training of the heads of institutions in the public education strategy adopted in 2020, the paper concludes by suggesting that it is time to develop a concept in which preparation, development and training for leadership supervision are interlinked in a complex model of leadership development.
The Role of Energy Literacy in Supporting Energy Conservation: Perspective from Indonesian Citizens
Authors: Hendinata Laurentius Kevin , Ardiwinata Tantri , Pratama Filipus Kevin Tirta
Published: September 2022

Energy plays a strategic role in human life today. In this case, energy is an interdisciplinary concept from the concepts of science and the environment to global social problems. One aspect of energy development is energy conservation, where efficient and rational use of energy is carried out without reducing energy use performance. To increase public awareness and participation on energy issues, especially those related to energy conservation, it is necessary to increase knowledge about energy in the wider community, one of which is through energy literacy. This is because knowing energy will empower people to make wise decisions and take responsible action regarding energy use. Energy literacy here can be obtained through formal and informal education. This study investigates the condition of energy literacy in Indonesian society in general through a sampling method, and it is found that the level of energy literacy in Indonesian society is on a moderate scale, but it is still not enough to reach the expected level of energy literacy, while the energy literacy level is less. Energy literacy and energy conservation will also be increasingly hampered. Therefore, it is hoped that an increase in education or energy literacy related to formal and non-formal education so that people are more familiar with and apply energy conservation in their daily lives.
Desarrollo de un sistema de reconocimiento del estado de los cultivos de café en tiempo real usando redes neuronales artificiales
Authors: Uribe Churta Armando
Published: September 2022

El presente proyecto plantea el uso de algoritmos de inteligencia artificial aplicados en el campo de la visión computacional para determinar el estado de cultivos de café mediante imágenes tomadas a partir de plantaciones en diferentes estados de oxidación, permitiendo al agricultor o campesino tener la posibilidad de conocer en tiempo real, el estado de las plantaciones mediante las hojas de café, las cuales ofrecen información importante que permite determinar la fase de maduración del fruto. Para ello se ha implementado una Red Neuronal Convolucional tipo clasificadora, compuesta por ocho capas de profundidad. Esta se ha entrenado mediante la herramienta Colab de Google, obteniendo un 98,72% de precisión para los datos de entrenamiento y 70,16% de precision para los datos de validación.
Initial Experience of Totally Tubeless Ultra-Mini Percutaneous Nephrolithotomy
Authors: Rakib Md Abdur , Islam Md Shahidul , Waheed SM Shameem , Chwdhury Md Ashif , Alam Mohammad Shafiul , Rashid Mohammad Harun or
Published: September 2022

Objectives : The Objectives of this study is to determine the outcome and effectiveness of Ultra-mini percutaneous nephrolithotomy (PCNL) for treating low-volume renal stone without placement of any stent and nephrostomy tube as a supplement to the conventional PCNL.
Material and methods: The Patients who underwent ultra-mini PCNL bwtween July 2018 to December 2018. were studied.This was a prospective study of 14 patients.This study was carried out in urology centre of CMH Dhaka.Before the study ethical clearance was taken from hospital ethical committee. All these patients had their first-line treatment. The patients had calculus limited to either a single calyx or just extending to the pelvis and the stone size was less than 1.5 cm in its maximal dimension. The mean stone size was 10.8+_4.2(5-15mm). An 6 Fr operating nephroscope was used. The patients were placed in prone position. The stones were fragmented using Holmium-YAG laser. Various surgical outcomes including duration of the surgery, stone-free rate and any subsequent complications-if any-were analyzed.The stone free rate was assessed on the 1st day and at three month after surgery by X-ray KUB and ultrasonography.
Results: The study includes a series of 14 patients (one patient treated with bilateral renal stone disease). The mean age of the patients was 39.07 years and body mass index was 25.5 kg/m2. Intrarenal stone location was as follows: lower calyx, n=7; middle calyx, n=3, upper calyx, n=1, and pelvis, n=3. Median operative time was 52.66 min (range: 40–65) and the stone-free rate was 93.3% at first day and 97% after three month follow up.. Only one patient had residual fragments and needed subsequent extracorporeal shock wave lithotripsy.
Conclusion: Ultra-mini PCNL in prone position with a complete tubeless approach for renal stone disease is a safe method for treating low-volume stone disease. A long term large scale multicentre study may be required to validate this technique.
Bangladesh J. Urol. 2021; 24(2): 118-123
Años de vida potencialmente perdidos en víctimas de accidentes de tránsito
Authors: Román-Lazarte Víctor , Román Luz A. , Sanga Hoxanna , Tarqui Lissell
Published: September 2022

Objetivo: Evaluar la tendencia y los años de vida potencialmente perdidos de los fallecimientos por accidentes de tránsito en el departamento de Tacna. Material y métodos: Estudio observacional a partir de los datos secundarios del Sistema Nacional de Defunciones del Ministerio de Salud. Se realizó un análisis descriptivo de las características generales del número total de fallecidos durante el periodo 2017-2021. También se calcularon los años de vida perdidos mediante la fórmula brindada por la Global Burden of Disease. Resultados: Se obtuvo un total de 245 fallecidos en el periodo de estudio, la media de edad fue 42,98 años con una desviación estándar de 19,58. El 78 % de las víctimas fueron del género masculino. Más del 80 % se reportaron en la provincia de Tacna. En el año 2020 hubo una clara reducción en el número de fallecidos por accidentes de tránsito. Los años potencialmente perdidos en el periodo de estudio fueron de 12 012 años en total, con una gran pérdida en el grupo etario de 20 a 49 años. Conclusión: A comparación de otras ciudades, en el departamento de Tacna existen pocos fallecimientos por accidentes de tránsito, sin embargo, es importante mencionar que la población joven y adulta tiene una mayor proporción en comparación de otros grupos etarios y que estos tienen una mayor cantidad de años de vida potencialmente perdidos. Se debe insistir en la promoción y prevención para la seguridad vial y, de esta manera, evitar muertes y lesiones graves que puedan llevar a la discapacidad.