Miracle-dz/UniFAR-FTUs huggingface dataset:
An Overview of Earthquake Science in Malaysia

This paper highlights the level of earthquake hazard in Malaysia, the challenges in mitigating earthquake hazard and the way forward on how to strengthen earthquake science in Malaysia. Earthquake hazard is regarded as low throughout Malaysia, with the exception of Sabah where it is considered moderate. This elevated level of a hazard was reinforced during the 2015 Ranau Earthquake, which killed 18 people. Despite this and other recent sizeable earthquakes, the earthquake hazard in Malaysia is poorly understood, yet the population has increased, and growth in buildings and infrastructure has risen. While much progress has been made since the 2015 Ranau earthquake in terms of the development of (i) national seismic hazard map; (ii) national seismic building code; and (iii) planning guideline in a high-risk earthquake area, there are still many challenges faced in mitigating earthquake hazard in Malaysia. There is still a lack of seismic, geological, geodetic and engineering data; insufficient seismic and geodetic monitoring network system; lack of trained human resources; and lack of public awareness. To ensure that earthquake hazard is properly quantified and mitigated some steps have to be taken, which includes (i) comprehensive geological, geotechnical and engineering studies; (ii) coordinated seismic and geodetic monitoring; (iii) human resource capacity building; (iv) coordinated public education; (v) allocation of special research and development grant; and (vi) setting up of a National Earthquake Research Centre.
Surveillance of European honeybee subspecies distribution in Chiang Mai, Thailand

Nowadays the most common subspecies of western honeybee or European honey bee (Apis mellifera) have 28 subspecies around the world. The subspecies are divided into four major branches were confirmed by mitochondrial DNA analysis. African subspecies belong to branch A, north western European subspecies branch M, south western European subspecies branch C and Middle Eastern subspecies branch O. The different sub species of European honeybees have different characterization factors such as tolerances of environmental temperature changes, specific diseases resistant, defence behaviour and other economically important Traits. In this studied we collected the samples from 50 colonies of Apis mellifera from January to March 2017 at Chiang Mai, Thailand and used PCR-RFLP to identify mitochondrial lineages and subspecies of European Honeybees. There have three different subspecies of Apis mellifera such as Thai A1 Thai A2 and Thai B in Chiang Mai. Province, Thailand. Thai A group are similar match to C or east European lineage A.m. ligustica and A.m. carnica and Thai B group are similar to the match of O or Middle Eastern lineage, A.m. syriaca and A.m. lamarckii. The Haplotype group of ThaiA1 (38% of colonies) and group ThaiA2 (52%) Haplotype group ThaiB (10%).
The Analysis of Total Quality Management Critical Success Factors

Purpose: The primary purpose of this paper is to identify the most important factors related to the successful implementation of TQM in the literature and to compare the identified factors with the existing research. Methodology/Approach: By conducting a systematic literature review in three main stages, this research analyzes 13 empirical papers published between 1995 and 2017. Three main stages included: formulation of the problem to be solved by the systematic literature review; definition of inclusion criteria and exclusion of articles; and article search and selection. Findings: Analysing previous research and conducting a literature review, we identify six main critical success factors (CSF): top management leadership and commitment, customer focus, training (employees), procurement management (suppliers), information and analysis, and process management. Research Limitation/Implication: In this paper, we focused solely on the influence of TQM practices on the financial performance of a company. As such, the non-financial performance indicators were not considered. Originality/Value of paper: This paper adds value to the existing literature as it focuses on critical factors of TQM implementation examined in relation to the financial performance of the company and provides a good basis for understanding and developing more complex models. Category: Literature review
Perception of New Technologies: Constructing an Innovation Openness Index

Rapid technological progress is one of the basic processes in the modern world. It is an integral part both in the field of labor and employment and in leisure and recreation. The request for an accelerated implementation of digital technologies in the economy and social sphere, which is inherent in one of the national development goals of the Russian Federation, makes this topic more important. In the presence of technological challenges, people have to adapt to constantly emerging innovations. Meanwhile the perception of innovations together with other individual characteristics and socioeconomic characteristics of different social groups could be considered determinants of openness to technological innovations. Based on this assumption, the authors of this article set the following objectives: they evaluate the openness of the population to innovation (through the construction of the index), examine the perception of innovation (by identifying factors of the perception of new technologies), and test the relationship between openness to innovation and the perception of new technologies. The multi-domain index of openness to innovation combines assessments of individual attitude, acceptance, and trust in innovations related to various spheres of the population’s life. The perception of innovation is revealed through the Technology Acceptance Model and includes: perceived ease of use of new technologies; the perceived usefulness of new technologies; perceived security and reliability of new technologies; and perceived elitist features of new technologies. This study demonstrates that openness to innovation depends upon the perception of new technologies and is differentiated among population groups.
Genetic and environmental conditions of aggressive criminal behavior. Methodological and ethical conclusions from pilotage

Our research project is framed as biosocial analyzes of the etiology of criminal behavior. This research can be characterized as a conceptually and methodologically innovative attempt to connect the research areas that so far have not been considered together in one project. The research project is based on three components: sociological, psychological, and biological. The main aims of the article are to initiate and facilitate debate concerning the interaction between factors belonging to a variety of different areas and provide an interdisciplinary approach to the study of criminal behavior etiology. A discussion over proveniences of criminal behavior is needed both to enrich consciousness and knowledge about conditions lying under criminal behavior and to reshape practical solutions in the field of social rehabilitation. The article also concerns our methodological and ethical reflections coming from our pilotage project involvement.
Natural gas liquid (NGL) distillation process using driving force and thermal pinch analysis methods: Energy and economic assessment

Distillation column is one of the effective unit operations that is commonly used to separate chemical mixtures. The only drawback of this separation process is its huge energy consumption especially for a multicomponent separation process which involves a series of distillation columns. Therefore, an optimal sequence must be determined to address the issue. This research proposes the methodology to determine the optimal sequence of distillation columns by using driving force method. Then, thermal pinch analysis is applied to obtain further energy saving in the process. The case study selected is a distillation process to recover 5-component of natural gas liquid (NGL) mixture. Based on the input data, the driving force sequence is determined first and simulated together with a conventional sequence (direct sequence). Then, the extracted data from the simulation will be used for thermal pinch analysis via problem table algorithm (PTA). From the results of PTA, energy consumption between both sequences were compared including the energy consumption before and after the thermal pinch analysis. In addition, economic analysis has been performed as well to indicate which sequence has lower capital and operating costs based on the proposed heat exchanger network (HEN). According to the results, the combination of the driving force and thermal pinch analysis methods has successfully recorded 48% of energy savings and operating cost, and 58.2% capital cost saving compared to the conventional sequence (direct sequence). Therefore, it can be said that the proposed framework has a great potential to be employed towards the process and economic feasible distillation process.
Characterization of Marketing and Management System of Indigenous Chicken Ecotypes in Awi Zone, Ethiopia

The study was conducted in three districts of Awi zone in Amhara region, with the aim of managemental system of indigenous chicken ecotypes. Atotal of 180 households were participated in the interviews, which was conducted using a structured questionnaire. The most dominant chicken production system was a subsistence extensive system which is based on indigenous chickens with scavenging and supplementary feeding of home grown grains and household food refusals. In this study the Scavenging was the major feeding system in all districts. About 85%, 93.33% and 78.33% of the respondents in high-land, mid-land and low-land agro-ecologies practiced scavenging with supplementary feeds respectively. The age of cockerels at first mating and pullets at first egg laying were 5.21 months and 5.77 months, respectively. The results of the rankings had shown that diseases outbreaks mainly Newcastle (locally called wotetie) disease and together with predators were the major and economically important constraint for the existing chicken rearing system. In conclusion, there is diversity of indigenous chicken population and farmers’ preference of different traits that may invite to design community based selection criteria. And these were recommended in poultry breeding policy which focused on managemental system, selection, and trait preference should be designed.
The Impact of Artificial Intelligence on Consumers Identity and Human Skills

The development of artificial intelligence is one of the main paradigms of the contemporary society, which will radically change the existence of individuals and our society and it will have important effects on the economy. The use of artificial intelligence in the daily work of individuals and in the relationship between companies and consumers has a great number of advantages such as the increased efficiency, a high degree of fascination in interaction, but in the same time there are several fears related to its development in the future. Due to its great data storage capacity about the behavior of individuals and the processing speed of this data, there is a risk that the forms of artificial intelligence will become smarter than humans and thus intervene in the decisions made by them. Through the constant use of artificial intelligence, there is a high risk of manipulation of consumers as well as a high degree of dependence on intelligent technologies. This close relationship between the user and artificial intelligence can reduce an individual’s cognitive abilities and can affect their thinking, personality and relationships with its social circle. This paper presents a mediation model between the efficiency and fascination with artificial intelligence and the consumers’ perception of preserving their self-identity and human skills, having as mediator the influence and model of the social circle. The research results show that a higher degree of efficiency and fascination, as well as a positive influence from the social circle decrease the consumers’ perception of reduction of human skills in relation to artificial intelligence. Moreover, the social circle mediates the relationship between efficiency and fascination produced by artificial intelligence and the perception of preserving human abilities.
Examining the use of artificial intelligence in recruitment processes

The recruitment process is more of an issue for many businesses. The process of determining the appropriate candidate to hire is often a costly, time-consuming process. Besides, due to incorrect decision-making or lack of objectivity in hiring processes, recruitment processes may not proceed effectively. Businesses are trying to use technology in their recruitment processes to avoid these problems. Currently, many businesses use internet and software technologies to receive applications and evaluate candidates. But despite these technologies, it takes time and additional personnel costs for people to coordinate all processes. Due to these and similar situations, there has been an increase in the use of artificial intelligence technologies in recruitment processes in the world recently. The use of artificial intelligence in recruitment processes has the effect of reducing costs and decision-making errors and appears to be beneficial in saving time. In this study, the use of artificial intelligence in the recruitment processes of businesses in Turkey was examined. In this context, interviews were conducted with the human resources managers of 22 businesses. According to research results, it was understood that artificial intelligence was benefited only as an auxiliary element in recruitment processes. It has been found that businesses do not rely much on artificial intelligence in their recruitment processes, so they do not use it or partially use it.
IoT Provisioning QoS based on Cloud and Fog Computing

The wide-spread Internet of Things (IoT) utilization in almost every scope of our life made it possible to automate daily life tasks with no human intervention. This promising technology has immense potential for making life much easier and open new opportunities for newly developed applications to emerge. However, meeting the diverse Quality of Service (QoS) demands of different applications remains a formidable topic due to diverse traffic patterns, unpredictable network traffic, and resource-limited nature of IoT devices. In this context, application-tailored QoS provisioning mechanisms have been the primary focus of academic research. This paper presents a literature review on QoS techniques developed in academia for IoT applications and investigates current research trends. Background knowledge on IoT, QoS metrics, and critical enabling technologies will be given beforehand, delving into the literature review. According to the comparison presented in this work, the commonly considered QoS metrics are Latency, Reliability, Throughput, and Network Usage. The reviewed studies considered the metrics that fit their provisioning solutions.
Growth, yield and economic performance of soybean at two agro-ecological zones of bangladesh influenced by bradyrhizobium and fertilizer application

Two field experiments were conducted, one at Bangladesh Agricultural Research Institute, Joydebpur, Gazipur under Agroecological Zones, Region 28, and the other at Regional Agricultural Research Station, Jessore under Agroecological Zones, Region 11, during rabi season 1991-92 to study the effect of Bradyrhizobium inoculation and different fertilizer application on the growth, yield and economic performance of soybean, Shohag (Pb-1) variety of soybean and peat based rhizobial inoculum, (strain no. RGm-922) were used in these experiments. It was observed that Bradyrhizobium inoculation either alone or in presence of PKSZn fertilizers gave significantly higher nodule number and weight at both locations. Inoculated plants receiving these fertilizers produced significantly higher grain yield (1.49 and 1.63 t/ha) as well, which was 64 and 70% higher than control treatments at Joydebpur and Jessore, respectively. The inoculum was more profitable than other chemical fertilizers based on benefit cost ratio.
The Impact of Corporate Governance on Earnings Management in Palestine: The Moderating Effects of Political Instability

The purpose of this paper is to investigate the role of political instability in the context of the association between board of directors (BOD) and audit committee (AC) quality as indicators of corporate governance effectiveness and earnings management (EM). The non-financial listed companies on the Palestine Exchange (PEX) between the period from 2011 to 2018 were the samples of the study. Based on the OLS regression results by using a panel data of 232 observations, the findings show that the BOD quality is positively related to EM, while AC quality is negatively associated with EM. The results also reveal that political instability plays a moderating role by weakening the relationship between the AC quality and EM during the severe unstable political situation, while the BOD quality is negatively associated with EM under the same situation. This finding implies that the BODs might substitute ACs under severe political instabilities to protect the stockholders and stakeholders’ interests. Unlike most previous studies, this article addresses political instability as a moderating variable for the relationship between the BOD and AC quality as a composite measure of EM in the most emerging and smallest stock market in the region. The results of this work may assist the regulatory bodies, policymakers, and practitioners in revising the corporate governance code to promote the efficiency of the BOD and AC monitoring functions for the purpose to improve the faithfulness and reliability of financial reports and also to deter the management from engaging in critical levels of EM.
Relationship between ischemia modified albumin and lipid profile in type 2 diabetes mellitus

Introduction: Ischemia modified albumin (IMA), is new biomarker of oxidative stress and ischemia. IMA being increased in Diabetes Mellitus has been described in many studies. Diabetes Mellitus (DM) a metabolic disorder is characterised by hyperglycemia, hypertension and hyperlipidemia. So, our aim was to estimate the levels of IMA in type 2 DM subjects. Also to evaluate the relationship of IMA with all the parameters in lipid profile (TC, LDL, HDL, TG) in type 2 DM subjects. Materials and Methods: 120 subjects were selected from the medicine OPD of Justice K S Hegde Charitable Hospital, Mangalore for study. The subjects attending the hospital were from coastal areas of southern India. Out of which 60 subjects were type 2 DM patients as per the ADA guidelines and 60 subjects were age and sex matched controls. The biochemical parameters estimated were FPS, 2hr-PG, HbA1C, Lipid profile (TC, TG, LDL, VLDL, HDL) and IMA. The results were expressed in absorbance units (ABSU). Data obtained was analyzed using SPSS 20. Results: The Fasting and postprandial plasma glucose, HbA1c, serum TG, TC, LDL, HDL, IMA were significantly increased in type 2 DM patients than in control subjects with the p value <0.001. A significant correlation was found between Lipid profile and IMA. Conclusion: The present study suggests that measuring IMA in dyslipidemic diabetic patients will provide an early index of ischemia and its severity. This would help in the better management and prognosis of DM.
Study of Human IgG and IgE Antibodies Against Bee (Apis mellifera) Venom

BACKGROUND: Bee venom contains various biomolecules, such as enzymes, peptides, and amines. The immune sys-tem produces IgG antibodies against bee venom proteins. However, IgE antibodies may also be developed in allergic individuals. OBJECTIVES: In this study, immune responses, including IgG and IgE reactions to bee venom were assessed in vari-ous individuals, using the immunoblotting technique. METHODS: Serum samples were collected from 20 people of three major groups, namely beekeepers, allergic individu-als, and normal people. Venom samples of honey bees and wild bees were collected from the suburbs of Tehran, Iran. Furthermore, commercial honey bee venom samples extracted from Apis mellifera and samples of wild bees extracted from Polistes and Vespula were purchased from France. Immunoblotting was carried out using the sera of subjects and anti-human IgG and IgE coupled to horseradish peroxidase. RESULTS: The results of sodium dodecyl sulfate-polyacrylamide gel electrophoresis showed similar protein bands in Iranian and European honey bee venoms, including α-glucosidase (170 kDa), Api m (100 kDa), acid phosphatase (49 kDa), hyaluronidase (43 kDa), phospholipase A2 (17 kDa), and melittin (2 kDa). In wild bees, two bands were found with the molecular weights of 35 and 25 kDa belonging to antigen 5 and phospholipase A1, respectively. These were not observed in honey bee venoms. Immunoblot analysis revealed that all the mentioned proteins were immunogenic and al-lergenic in different individuals. Hyaluronidase, as well as phospholipases A1 and A2, were the major allergens in most individuals, while IgE reaction to melittin was only reported in one person. CONCLUSIONS: In conclusion, studies on antibodies against bee venoms can be useful in immunotherapy. Different people indicated distinct allergenic patterns. Therefore, further similar assays are recommended before, during, and after immunotherapy.
The severity of non-planning impulsivity and cannabis use problems in distinguishing patients with synthetic cannabinoid use disorder and cannabis use disorder

How to cite this article: Yilmaz Cengel H, Bozkurt M, Evren C. The severity of non-planning impulsivity and cannabis use problems in distinguishing patients with synthetic cannabinoid use disorder and cannabis use disorder. Dusunen Adam The Journal of Psychiatry and Neurological Sciences 2021;34:41-49. The severity of non-planning impulsivity and cannabis use problems in distinguishing patients with synthetic cannabinoid use disorder and cannabis use disorder
The Role of Banking Services in Determining the Destination Countries for Indonesia’s Non-Oil and Gas Export

This study aims to examine whether the risk factor and banking services play a significant role in determining not only the export performance of a country but also the pattern of export destination markets, with the reference to the case of Indonesia. These two indicators are interrelated because the risk factor in export transactions can be mitigated by banking sector. Using the data of export Letter of Credits (LCs) for non-oil and gas exports of Indonesia as a banking instrument to mitigate special risk transactions to 102 export destination countries as well as a panel data methodology for the 2011–2018 period, this study discovers that the risk of export destination countries affects the decline in non-oil and gas exports of Indonesia to the alleged high-risk countries that are non-traditional export markets of Indonesia by 8.34%. In contrast, the LCs only significantly affect the increase in non-oil and gas exports of Indonesia to the lowand medium-risk countries by 0.024–0.029%, most of which are traditional export markets of Indonesia. It implies that banking sector in general does not have the appetite for providing financing for Indonesian exporters attempting to penetrate non-traditional export markets. This result underlines that commercial banks in Indonesia have a significant role in shaping the pattern of destination countries for Indonesian export. Consequently, government intervention is essentially needed by assuming or sharing part of the risk with state banks supposing the government continues to expect exporters to be able to penetrate into the non-traditional countries.