Order Of Priority Research Articles

Performance of Selected Plants Based Growth on Landfill Leachate Treatment Using Wetland Application

Introduction: This research was conducted to process untreated leachate using plants in artificial wetlands. The aim was to obtain plant selection criteria based on the relative growth rate (RGR) and removal efficiency (Re) of biochemical oxygen demand (BOD) and chemical oxygen demand (COD). Methods: The methodology used leachate containing about 1,000 mg/L and 5,000 mg/L BOD and COD, respectively. Three plants, Typha angustifolia, Cyperus papyrus, and Canna indica, were tested. The research stages included a range finding test for 14 days and definitive leachate experiments for the three plants for 36 days. Results: The results revealed that three types of plants could process leachate without treatment for 36 days after acclimatization (DAA). The determining period was 0-12 DAA with a decrease in BOD and COD concentrations in the range of 40-60% and an increase in the ratio of BOD/COD, which expresses increased leachate biodegradability. The following 24 days showed a decrease in the BOD/COD ratio and a constant decrease in the concentration of both parameters as an indicator of the stability of leachate quality. This pattern was followed by plant growth performance and showed the order of priority for C. papyrus, C. indica, and T. angustifolia. Conclusions: There was an adequate leachate detention time when BOD and COD decreased to a maximum. The response time of plants in reducing the concentration of substances was a new approach to plant selection.

Determination of Logistics Risk of Palm Cooking Oil Using Fuzzy Delphi Method and Fuzzy Analytical Hierarchy Process

Determination of risk sources and risk indicators is carried out by conducting literature studies and expert assessments. The results of the expert assessment are processed using the Delphi fuzzy and AHP fuzzy methods. The Delphi fuzzy method is used to make decisions regarding risk sources and risk indicators based on expert opinion. The AHP fuzzy method is used to determine the weight and priority order of risk sources and risk indicators for palm cooking oil logistics. The risk sources obtained based on the study of the literature are as many as 10 risk sources which are then selected 8 risks that are approved by experts. While the risk indicators obtained based on the study of the literature are as many as 34 indicators, then as many as 23 indicators are considered important by experts. Based on the risk weight assessment, the order of risk with the highest weight is supply risk with a weight of 0.2803, partnership risk with a weight of 0.1619, production risk with a weight of 0.1576, storage risk with a weight of 0.1262, technology risk with weight of 0.93, transportation risk with a weight of 0.0811, infrastructure risk with a weight of 0.0603 and market risk with a weight of 0.0395.

Selecting Green Supplier for Perishable Raw Materials using AHP Method at Nunia Boutique Villa Seminyak

Purpose: The aim of this research is to do the selection for green supplier for perishable raw material at Nunia Boutique Villa, Villa with 8 Units Villa located at Seminyak Badung Bali.
 Research methods: One of the methods that used in this research is Analytical Hierarchy Process (AHP) method with Vendor Performance Index (VPI) is a Quality, Cost, Delivery, Flexibility, and Responsiveness (QCDFR) by adding the Environment Management criteria. This research used the AHP method with the expert choice software.
 Findings: The final rating of relative importance’s supplier selection criteria was found: the Quality criteria (0.472) was ranked first in the order of priority in the green supplier selection criteria.
 Implication: The Cost criteria with 0.192, Environment Management criteria (0.102), Delivery criteria (0.091), Flexibility criteria (0.076) and the last criterion is Responsiveness (0.067).

AHP를 활용한 웰니스관광 테마 평가지표의 우선순위 분석

In this paper, in order to diversify the theme of domestic wellness tourism, the importance of each theme’s evaluation index was evaluated and prioritized through AHP analysis. A hierarchical structure consisting of 4 criteria of current demand factors, future supply factors, current supply factors, and future demand factors and a total of 11 detailed evaluation indicators was designed. As a result of the expert survey, the current demand factor (perceived efficacy) was the highest priority for each indicator, followed by future supply factors (industrialization), current supply factors (infrastructure and program levels), and future demand factors (brand equity). The order of priority for each detailed indicator was wellness program systematization, related industry maturity, and Korean characteristics in the order of supply factors, and attractiveness, emotional efficacy, and physical efficacy in the order of demand factors. In addition, in the wellness tourism theme evaluation, ‘beauty and spa (4.310)’, ‘healing and meditation (4.192)’, ‘well-being food (4.184)’, ‘nature and forest healing (4.092)’, ‘oriental medicine (3.883)’, ‘Ocean healing (3.763)’ and ‘religious stay (3.487)’ appeared in order.

LEXICAL-SEMANTIC SYSTEM OF WORDS COMMON IN MODERN TURKISH AND KAZAKH

The article examines the vocabulary (according to the materials of lexicographic works), lexical usage and semantics, semantic structure of polysemantic words and linguistic-semantic features that indicate the integrity of the Turkic world. The national composition of the modern Turkish population, attempts to learn Kazakh and Turkish languages, the degree of names and spelling, the same meaning or the same meaning of names in the Kazakh and Turkish languages, and degrees of discrepancy (mismatching), among them the question of which language is used by residents of the region in priority order is considered. The aim of the article is to determine the amount of common vocabulary in the Kazakh and Turkic languages and to conduct a comparative study of their meanings, to identify the difficulties arising in teaching the two languages as the foreign language words whose meanings are changed, to show the Turkic basis of common vocabulary, to analyze the change of meaning using comparative and historical method. The scientific significance and practical of the article lie in the fact that the linguistic data, evaluation (prediction) of some words in the past and future in a practical sense, the availability of conclusions, the validity and scientificity of judgments and conclusions were not previously known, and if they were known, they were collected in practice and analyzed in a scientific sense as a special object of research. As a result of the research, in order to study lexical-semantic processes in related languages, it is necessary to consider them in comparative and historical-comparative aspects.

Priority Determination Analysis of Research Competencies in Building Engineering Preservice Teachers through the Analytical Hierarchy Process

The objective of this research was to obtain information on the priority ranking of superior research competence criteria in pre-service teachers. This study was designed with a quantitative descriptive research design using the Analytical Hierarchy Process (AHP) method. The AHP is a decision-making system for determining the priorities on predetermined criteria in the development of research competencies in pre-service teachers. The five main principles studied were: the skills in determining the topic and background of research, skills in developing theoretical foundations, skills in applying research methodologies, skills in discussing and concluding research results, and paper writing skills. The expert evaluated the priority weight scale for each aspect of research competence. The development of research competency stimulation on pre-service teachers will be more effective if the priority criteria are revealed. A model of stimulation based on a priority scale should be developed with AHP since the order of priority indicates which stimulation criteria should be optimized.

Expert Consensus on the Resource Needs of Autistic Children and Young People in Ireland During the Early Months of the COVID-19 Pandemic

The COVID-19 pandemic has brought significant changes across society. This Delphi study aimed to gain expert consensus on challenges faced and resource needs for autistic children during the COVID-19 pandemic. Round 1 of the Delphi method employed semi-structured interviews with experts (N = 24) which were thematically analysed in order to identify needs, resource targets and resource development. In a follow-up Round 2 survey participants rated emergent need and resource in order of priority. Round 2 provided consensus on challenges faced with anxiety, routine and wellbeing ranked most important. Direction on resource design was also obtained. Consensus on the challenges and resources was achieved and is being integrated into a needs-based transition resources toolkit. Future studies could make use of the Delphi method to quickly gain consensus on focus of needs in other contexts and communities.

A Novel Picture Fuzzy Set-Based Decision Approach for Consumer Trust Project Risk Assessment

Consumer trust projects have formed as a novel business idea to achieve industrial transformation and upgrade Chinese trust companies (consumer trust projects), and it is of great significance to identify risks and evaluate their ranking order based on risk priorities. Considering the complexity and uncertainty brought by the multiple stages and multiple subjects, an innovative decision system framework was proposed, integrating criteria interaction through inter-criteria correlation (CRITIC) and the decision-making method additive ratio assessment (ARAS) based on prospect theory (PT) under a picture fuzzy environment. The proposed decision system framework not only determines the weights of criteria by considering the correlation and conflict among them but also determines the risk priority and ranking order by considering the bounded rationality of decision makers (DMs). Subsequently, to demonstrate the efficiency and practicability of the proposed framework, this paper constructs a consumer trust project risk evaluation model that includes a risk evaluation index system consisting of twenty-two risk factors and four relevant criteria in a case study. Then, the established model is used in a specific consumer trust project to demonstrate the application of the proposed framework. After that, a sensitivity discussion and a comparative analysis are provided to demonstrate the introduced methodology’s feasibility and necessity. The risk priority and ranking order calculated by the framework will give a reference for risk management of consumer trust projects.

Discrete element analysis of the effect of aggregate morphology on the flowability of self-compacting concrete

As the filling layer material of CRTS III slab ballastless track structure, self-compacting concrete (SCC) requires good fluidity. In this paper, the 3D laser scanning technology and digital image processing technology were used to characterize the aggregate morphology quantitatively, and an aggregate classification method considering the angularity of mesoscale was proposed. Meanwhile, aggregate particles with natural morphology were generated by Clump method, and the slump-flow test of SCC was simulated in 3D by the discrete element method (DEM) based on the adhesive rolling resistance linear model. On this basis, the effect of aggregate morphology on the flowability of self-compacting concrete was quantitatively studied, and the explanation was given from the perspectives of aggregate voidage and aggregate behavior. The results show that aggregate's macro-shape has twice the effect on self-compacting concrete flowability as aggregate's meso-angularity. For the sake of obtaining better flowability of self-compacting concrete, the priority order of aggregate is smooth spherical aggregate, multi-angular spherical aggregate, smooth elongated-flaky aggregate and multi-angular elongated-flaky aggregate. In addition, the flowability of self-compacting concrete is inversely proportional to the content of multi-angular elongated-flaky aggregate. The content of multi-angular elongated-flaky aggregate in self-compacting concrete for use as track filling layer should be kept below 10 %.

Decision Making of Agile Patterns in Offshore Software Development Outsourcing: A Fuzzy Logic-Based Analysis

Computation intelligence techniques are important for making decisions in an agile-based offshore software development paradigm. Offshore development faces additional challenges, such as trust, communication and coordination, and socio-cultural and knowledge transfer. There is a need to determine the rankings of challenges considering their criticality concerning practitioners working in agile-based offshore software development. This paper aims to identify and rank agile challenges in offshore software development by applying computational intelligence techniques. From the systematic literature review, we identified 30 communication and coordination challenges. The distributed agile pattern catalog consists of 15 patterns, from which eight were used to solve communication and collaboration challenges. Many researchers have used fuzzy logic to quantify their results. We further applied the fuzzy analytical technique to determine the priority order concerning the criticality of the identified agile pattern catalog. The results showed that Central Code Repository Pattern ranked the most significant for solving communication and coordination challenges. Global Scrum Board Pattern and Synchronous Communication Pattern ranked second.

A pricing and transshipment hybrid strategy for perishable product in two external scenarios for supply disruption

PurposeDifferent external supply scenarios faced by the retailers will affect their choice of strategy when supply is disrupted and becomes far less than demand, urgently. This study focuses on analyzing both demand and supply side response strategies to meet customer demand and reduce the impact of the shortage during supply disruptions.Design/methodology/approachAccording to the quantity of products that the external market can provide, the external supply scenarios were divided into sufficient-type external supply and learning-type external supply. A two-echelon perishable goods supply chain was analyzed, and three kinds of contingency strategy models for downstream retailers were investigated. First, in the sufficient external supply scenario, the optimal price and transshipment quantity to maximize retailer's profits is discussed. Second, in the scenario of learning-type external supply, this study analyzes the optimal decision in three mechanisms of the hybrid strategy and their application: price priority mechanism, quantity priority mechanism and price–quantity balance mechanism. Furthermore, the influence of penalty cost and supply on the priority orders of different mechanisms was studied.FindingsResults show that comparing the two pure strategies (pricing strategy and transshipment strategy)it was noted that the hybrid strategy produces the best results in sufficient-type external supply scenario. In the learning-type external supply scenario, a numerical study has shown the existence of three areas in case of penalty cost and supplier's capacity, and each areas has different priority orders of the three mechanisms. Under the situation of learning external supply, the retailer's optimal strategy is affected by parameters such as penalty cost and supply volume.Originality/valueThe main innovation of the work lies in the following: First; the external supply situation was divided into sufficiency type and learning type, which improves the external situation faced by retailers after the outbreak of emergencies, helps retailers understand the external situation, conforms to the actual situation and has certain practical application value. Second; in the context of learning external supply, there are three coping strategies for retailers, including: Price priority mechanism, Quantity priority mechanism and Pricing and transshipment balance mechanism. This will help retailers make strategic choices, make more scientific management decisions and improve the supply chain emergency management theory. Third; the demand side response was managed through the change of external supply during supply side recovery period and supply disruption. The proposed model enables managing and analyzing supply disruption efficiently and effectively via handling uncertainty by considering all aspects of decision-making process. The proposed model can be applied in various fields such as vegetable and fruit, fresh food, etc.

Priority of Maintenance of Structural and Architectural Elements Using the Analytical Hierarchy Process (AHP) Method

The building construction will decrease with an increased service life of the structure. The school building for SMP Negeri 2 Meulaboh West Aceh is one of the school buildings that need attention from the government. Much of the building damage is due to age and improper maintenance methods. This study aimed to determine the maintenance priorities of the structural and architectural elements of the SMP Negeri 2 Meulaboh school building. This study used the descriptive qualitative method. Primary data was collected through surveys, interviews, documentation, and distributing questionnaires, while secondary data was collected from related institutions or agencies. Data analysis was processed using the Analytical Hierarchy Process (AHP) method. The selection of sample respondents is not random/nonrandom sampling but is carried out using purposive sampling. The analysis results of the order of priority for the maintenance of structural elements the priority, namely, the column, the type of damage to the chipped concrete cover gets the highest priority with a priority value of 0.359. While the second priority is for architectural elements, namely ceilings, walls, doors, windows, and floors, the damage to fading ceiling paint gets the lowest priority with a value of 0.016.

Physics Teachers’ Perceptions of Senior High Schools in Merauke on Self-Regulation of Digital Instructional Materials

This study describes the high school and MA physics teachers' perceptions of the need for digital teaching materials like e-modules, e-student worksheets, e-comics, and learning videos. The type of research used is descriptive quantitative. Therefore, as many as 12 physics teachers from SMA and MA in Merauke City were sampled in the study. The sample in this study was selected through a purposive sampling technique with criteria based on educational strata, length of teaching, educator certificate and ease of access. Furthermore, data collection was carried out using an instrument in the form of a questionnaire containing 30 statement items with a Likert scale consisting of 5 answer choices. Then, data analysis uses descriptive statistics. The result of this analysis is the accumulation of basic data in the form of the percentage of total responses followed by determining response criteria using interpretation criteria. Based on these criteria, it can be seen that the criteria for physics teachers' perceptions of the need for digital teaching materials. The study results show that the average perception of physics teachers is 88.1% and is included in the criteria for needing digital teaching materials. According to the teacher's perception, the order of priority for teaching material needs is e-module with the TPACK approach (91.3%), e-student worksheets with a scientific approach (83.3%), and interactive multimedia-based learning videos (75%). This research collected data on the perceptions of physics teachers at SMA and MA Merauke as a stage of needs analysis in development research. Based on the results of this analysis, further research will be carried out regarding the development of digital teaching materials in the form of e-modules, e-student worksheets, and learning videos.

Interval-Valued Hesitant Fuzzy DEMATEL-Based Blockchain Technology Adoption Barriers Evaluation Methodology in Agricultural Supply Chain Management

Blockchain technology is emerging and has high potential to improve and transform the agricultural supply chain. This study investigates the critical barriers to blockchain technology adoption in the Vietnamese agricultural supply chain using a novel interval-valued hesitant fuzzy Decision-Making Trial and Evaluation Laboratory (IVHF-DEMATEL) approach. The IVHF-DEMATEL technique is applied to identify cause-and-effect relationships and draw the influence-relations map of the barriers. In contrast to prior work, which converts fuzzy sets into crisp sets and then uses crisp set operations, this study is the first study to investigate the Vietnamese agricultural supply chain that uses fully hesitant fuzzy operations representing experts’ assessment without information loss during the conversion. Our results show that ‘lack of government regulation’, ‘lack of scalability and system speed’, ‘a large amount of resource and capital requirements’, and ‘lack of trust among agro-stakeholder or public perception’ are the main barriers. Consistent with previous studies, ‘lack of government regulation’ is the most significant barrier. The results also indicate the hesitant degree of each barrier and better inform decision-makers about uncertain situations. Moreover, a priority order for tackling barriers is proposed to accelerate blockchain adoption in the Vietnamese agricultural supply chain.

Controllable Deposition of Bi onto Pd for Selective Hydrogenation of Acetylene.

The rational regulation of catalyst active sites at atomic scale is a key approach to unveil the relationship between structure and catalytic performance. Herein, we reported a strategy for the controllable deposition of Bi on Pd nanocubes (Pd NCs) in the priority order from corners to edges and then to facets (Pd NCs@Bi). The spherical aberration-corrected scanning transmission electron microscopy (ac-STEM) results indicated that Bi2O3 with an amorphous structure covers the specific sites of Pd NCs. When only the corners and edges of the Pd NCs were covered, the supported Pd NCs@Bi catalyst exhibited an optimal trade-off between high conversion and selectivity in the hydrogenation of acetylene to ethylene under ethylene-rich conditions (99.7% C2H2 conversion and 94.3% C2H4 selectivity at 170 °C) with remarkable long-term stability. According to the H2-TPR and C2H4-TPD measurements, the moderate hydrogen dissociation and the weak ethylene adsorption are responsible for this excellent catalytic performance. Following these results, the selectively Bi-deposited Pd nanoparticle catalysts showed incredible acetylene hydrogenation performance, which provides a feasible perspective to design and develop highly selective hydrogenation catalysts for industrial applications.

A Comparison and Survey on Brain Tumour Detection Techniques Using MRI Images

Abstract: Despite enormous advances in medical technology, the prognosis of Brain Tumour (BT) remains an extremely time-consuming and troublesome assignment for physicians. Early and precise brain tumour identification gives an effective results and leads to increased survival rate. Within this paper, an examination of various techniques in order of priority to classify clinical images is presented to analyse various research gaps and highlights their costs and benefits. Human mortality can be reduced by using an automatic classification scheme. The automatic classification of brain tumours is a difficult task due to the large spatial and structural variability of the brain tumor’s surrounding region. The latest developments have been investigated in image characterization strategies for diagnosing human body disease and addressing the classification of nuclear medical imaging identification techniques like Convolution Neural Network (CNN), Support Vector Machine (SVM), Histogram technique, K-Means Clustering (K-MC) etc., just as the respective parameters like the image modalities employed, the dataset and the trade-offs have been compared for each technique. Among these techniques, CNN model accomplished the highest accuracy of 99% for two sets of data: Brain Tumour Segmentation (BTS) and BD-brain tumour and a high average susceptibility of 0.99 for all datasets. Finally, the review demonstrated that improving image order strategies with regarding accuracy, sensitivity value, and feasibility for Computer-Aided Diagnosis (CAD) is a significant challenge as well as an open research area.

The Credit Suisse CoCo wipeout: Facts, misperceptions, and lessons for financial regulation

The Credit Suisse CoCo wipeout: Facts, misperceptions, and lessons for financial regulation

Kişiselleştirilmiş Haber Tavsiye Sistemi

Recommendation Systems are the methods that suggest the next choices of the user in a predictable way, based on the preferences made by the user before. This method is become even more popular nowadays and it can be applied to any topic or field that needs future estimation evaluating the data at hand. It is a kind of information extraction study. Furthermore, the fact that Amazon receives about 35% of its revenue from referral systems is an indication of how important this method is. However, news recommendation system which is a similar application area, is not also widely used as others. In this study, it is aimed to design a news recommendation system by taking into account the sites the user enters, the words that they searched for and bookmarks. The machine learning model has been trained with a data set that includes news categories and news content in order to present the news to the user as interested. By giving the data from the user environment to the trained model, the found interested categories of the user is processed instantly by the RSS. These news selected from RSS are shown to the user in order of priority regarding the daily news agenda. The real user test showed impressive accuracy as 89%. This solution presents a content-based recommendation system as nature of the problem.

Penerapan Metode AHP dalam Penentuan Prioritas Pembangunan Jembatan Rangka di Kabupaten Deli Serdang

Bridges as an important part of the transportation system have a role in spurring economic growth and regional development. For this reason, the government is obliged to build bridge infrastructure in a stable condition so that connectivity between regions can be realized. Given the many infrastructure development activities that have been delayed since 2019 as a result refocusing as well as the limitations of the APBD, it is necessary to select the order of priority for the bridge implementation program. This study aims to analyze the dominant criteria and sub-criteria that need to be considered so that the order of priority for the construction of a truss bridge in Deli Serdang Regency can be compiled. The method used is AHP with a quantitative approach through a questionnaire. The criteria considered are economic (cost), technical (sub-criteria for bridge age, length, width, and implementation time), land use (sub-criteria for agriculture/plantation, tourism, fisheries, and mining), accessibility (sub-criteria for distance and time), social and regional development (the sub-criteria are population, social facilities, government facilities, and regional development), and policies (the sub-criteria are musrembang, Reses/Pokir DPRD, and stakeholders). The results of the study show that the dominant criteria to consider are social and regional development, followed by technical, land use, economic, policy, and accessibility criteria. The order of priority for the construction of a truss bridge is the Sei Belawan Bridge, Tanjung Anom Village as the first priority, the Bridge Lau Cirem Perpanden Village as the second priority, and Sei Serdang Bridge, Negara Beringin Village as the third priority.

Study on the Exploitation Potential of Ecotourism in Leshan City based on a Multi-Hierarchy Grey Method

Leshan City is rich in ecological tourism resources. The evaluation of their potential for exploitation can provide scientific guidance for the development of ecological tourism resources in the city. Based on the analytic hierarchy process and grey theory, seven counties in Leshan City were selected as the basis for constructing the evaluation system of ecotourism resource exploitation potential from four aspects: tourism resource conditions, tourism resource exploitation conditions, tourism resource development benefits and tourism resource value. Through the comprehensive evaluation and sorting of the development potential of ecotourism resources in the city, the order of priority for the exploitation of ecotourism resources in the region was determined. According to the results of the model calculations, the exploitation potentials of ecotourism resources in the seven counties and districts in Leshan City could be divided into three levels. Among them, Muchuan County, Emeishan City, Ebian Yi Autonomous County and Mabian Yi Autonomous County are the first-level ecotourism resource exploitation zones; Jinkouhe District is at the second-level; and Jingyan County and Jiajiang County have the least exploitation potential as the third-level ecotourism resource exploitation zone. The results of this evaluation are approximately consistent with the actual situation of Leshan City, which indicates that the evaluation of the exploitation potential of ecotourism resources in this region based on the multi-hierarchy grey method can provide a theoretical basis for helping Leshan City to build characteristic ecotourism products, so that it can serve as a new development anchor for building a globally important tourist destination.