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1

KITCH, L. W., O. BOUKAR, C. ENDONDO, and L. L. MURDOCK. "FARMER ACCEPTABILITY CRITERIA IN BREEDING COWPEA." Experimental Agriculture 34, no. 4 (1998): 475–86. http://dx.doi.org/10.1017/s0014479798004049.

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Cowpea (Vigna unguiculata) farmers from diverse geographical areas in northern Cameroon selected breeding lines from on-station trials for their own fields and explained their reasons (criteria) for making the selections. The average selection intensity employed by farmers varied from 6 to 17% and was similar to that employed by plant breeders. Their selection criteria fell into three broad categories relating to yield, preference and quality, and labour, which were very consistent over years, locations and gender. Selection criteria were strongly influenced by market preferences, reflecting the increasing role of cowpea as a cash crop. Implications of these findings for breeding strategies and genetic resource conservation are discussed.
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Callan, Roger J. "Attributional Analysis of Customers' Hotel Selection Criteria by U.K. Grading Scheme Categories." Journal of Travel Research 36, no. 3 (1998): 20–34. http://dx.doi.org/10.1177/004728759803600303.

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3

Asaad, AbdulRahman, and Sameh Monir El-Sayegh. "Key criteria for selecting green suppliers for construction projects in the UAE." Journal of Financial Management of Property and Construction 26, no. 2 (2021): 201–18. http://dx.doi.org/10.1108/jfmpc-11-2019-0083.

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Purpose This paper aims to identify and assess the key criteria for selecting green suppliers in the United Arab Emirates (UAE) construction industry. Design/methodology/approach A total of 20 criteria were identified and shortlisted through an extensive literature review. These criteria were grouped into four categories: technical and commercial bid, company characteristics, environmental and socioeconomic. A questionnaire was then developed and distributed to construction professionals in the UAE. A total of 39 professionals responded to the survey including contractors, consultants, owners and suppliers. The respondents performed pairwise comparisons among the selection criteria. Data was then analyzed using the Expert Choice Software. Findings The research findings highlighted that the technical and commercial bid category was ranked as the most important with a weight of 0.338, followed by socioeconomic, company characteristics and environmental categories weighing 0.239, 0.225 and 0.199, respectively. The UAE construction professionals also ranked health and safety, material’s quality and tender price as the top three most important criteria when selecting a sustainable supplier. Practical implications This research addresses the lack of literature toward green supplier selection in the UAE. In addition, it assists contractors in selecting the appropriate supplier and promotes sustainable practices in the construction industry. Originality/value Material suppliers play an important role in the successful delivery of construction projects. Selecting the appropriate supplier is of paramount importance to project success. Several methods can be used to evaluate and select the best-fit suppliers. However, the selection criteria in such methods are primarily based on traditional construction projects rather than sustainable construction projects. Recently, there is an increase in the number of sustainable construction projects in the UAE. Therefore, identifying and assessing the key criteria for selecting green suppliers is needed. This paper fills the gap in literature as to selecting green suppliers in construction projects.
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Rashid, Izwan, Syuhaida Ismail, Zainai Mohamed, and Abd Latif Saleh. "Contractor Selection Criteria: a Study on Malaysian Public Construction Projects." International Journal of Engineering & Technology 7, no. 3.25 (2018): 65. http://dx.doi.org/10.14419/ijet.v7i3.25.17471.

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The complexity of a construction project renders the implementation of a systematic approach in selecting contractors to be of vital importance, especially for the public construction projects. Nevertheless, public construction projects in Malaysia often suffer from delay, over budget and low-quality issues. These are very much affected by the contractors who tend to manipulate the tender price with the sole intention of getting the contract, thus led to many issues throughout the projects delivery. Hence, this paper is aimed to investigate a list of contractor selection criteria for public construction projects in Malaysia. A total of 43 selection criteria have been identified and categorised into seven categories from an initial review via content analysis. These findings were then verified via a questionnaire survey, which was responded by 276 local Malaysian construction industry practitioners. Data collected were analysed using the IBM Statistical Package of Social Sciences (SPSS). The analysis showed that all 43 selection criteria were significant in selecting contractors. It is hoped that the findings of this paper would encourage the governing bodies and authorities to consider the use of multi criteria assessment in selecting contractors for public construction projects, rather than being solely reliant on the tendered price.
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Michnik, Jerzy. "Scenario Planning + MCDA Procedure For Innovation Selection Problem." Foundations of Computing and Decision Sciences 38, no. 3 (2013): 207–20. http://dx.doi.org/10.2478/fcds-2013-0010.

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Abstract Selecting the proper set of innovation projects is the vital point of the innovation management in a firm. To make a good decision, managers have to consider many conicting objectives in a highly uncertain environment. In this article, the comprehensive decision procedure based on scenario planning and multiple criteria analysis is presented. The main part of the procedure is a two-step model in which Hurwicz's rule and VIKOR-S method are employed to gain the selection of alternatives. To build up the decision base, the classification of the criteria involved in the innovation project selection into five categories is proposed.
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Verheyen, Steven, Wouter Voorspoels, and Gert Storms. "Inferring choice criteria with mixture IRT models: A demonstration using ad hoc and goal-derived categories." Judgment and Decision Making 10, no. 1 (2015): 97–114. http://dx.doi.org/10.1017/s1930297500003211.

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AbstractWhether it pertains to the foods to buy when one is on a diet, the items to take along to the beach on one’s day off or (perish the thought) the belongings to save from one’s burning house, choice is ubiquitous. We aim to determine from choices the criteria individuals use when they select objects from among a set of candidates. In order to do so we employ a mixture IRT (item-response theory) model that capitalizes on the insights that objects are chosen more often the better they meet the choice criteria and that the use of different criteria is reflected in inter-individual selection differences. The model is found to account for the inter-individual selection differences for 10 ad hoc and goal-derived categories. Its parameters can be related to selection criteria that are frequently thought of in the context of these categories. These results suggest that mixture IRT models allow one to infer from mere choice behavior the criteria individuals used to select/discard objects. Potential applications of mixture IRT models in other judgment and decision making contexts are discussed.
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Eschholz, Vitor, Mário César Silva, Izabela Simon Rampasso, Rosley Anholon, and Robert Eduardo Cooper Ordonez. "Primary criteria used by business incubators for the selection of new enterprises: analysis of selection notices." Brazilian Journal of Operations & Production Management 15, no. 2 (2018): 224–31. http://dx.doi.org/10.14488/bjopm.2018.v15.n2.a5.

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This article aims to analyze the primary criteria used by Brazilian business incubators to select new enterprises. The research method used was a documentary analysis with 124 selection notices available in the websites of business incubators. These criteria were divided into 17 categories, and the most mentioned among them were: innovation level, economic feasibility, and team capability, corroborating the ideas mentioned by other studies. The results presented in this research may be of great value for incubator managers and academics. Incubator managers may use these results to critically analyze their criteria and/or complement them. Academics, in turn, may use these results as a starting point for future research.
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Jordi, Padrós-Augé, Zayane Nouhaila, Cano Miquel, Morales-Vigo Albert, Castro Sebastién, and Parathias Laurine. "Diagnostic criteria for bruxism: A scoping review." Journal of Oral Health and Oral Epidemiology 12, no. 3 (2023): 98–104. http://dx.doi.org/10.34172/johoe.2023.17.

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Background: A scoping review was conducted to explore all the methods and criteria used in primary research on bruxism diagnosis. Methods: A pre-defined and validated search was carried out in the PubMed, CINAHL, PsycInfo, Scopus, PeDro, LILACS, and Epistemonikos databases. Primary studies conducted on bruxism as primary condition in the adult population were included. The selection phases were carried out by peers, and conflicts were resolved by a third reviewer or by consensus. Data extraction and manual tracing were done in order to identify the relevant studies. Results: The search and selection strategy identified 472 publications, and after manual tracing, 423 studies were selected for analysis. The results on diagnostic methods were grouped into 10 categories. Different subcategories were described within these categories, resulting in a total of 73 diagnostic methods: physical examination (n=11), questionnaires (n=12), polysomnography (n=13), electromyography (n=5), the International Classification for Sleep Disorders from the American Association of Sleep Medicine (ICSD-AASM) (n=3), intraoral devices (n=10), history (n=7), audio-video recordings (n=3), smartphone applications (n=2), and others (n=7). In addition, the combinations of methods used in the primary research were also analyzed. The prevalence of use was calculated for all diagnostic categories and subcategories, as well as for the combinations. Conclusion: There was high heterogeneity in primary research regarding the diagnosis of bruxism. There is evidence that not all diagnostic methods are properly validated. Future research should focus on validating these methods and developing the best tool in terms of reliability and cost-effectiveness for the diagnosis of bruxism.
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Tiblola, Lidya Iriani Thabita, Akhmad Aminullah, and Arief Setiawan Budi Nugroho. "Analysis of supplier selection criteria using fuzzy analytical hierarchy process by contractors in Yogyakarta." Jurnal Pendidikan Teknologi dan Kejuruan 30, no. 1 (2024): 112. http://dx.doi.org/10.21831/jptk.v30i1.68323.

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One of the factors that can support the success of a project to be completed on time and within budget is the selection of the right supplier because the selection of the right supplier can ensure the availability of materials to maintain the production trajectory. Supplier selection is a multi-criteria problem where each criterion has a different importance and needs to be precisely known. It must combine other criteria consistent with company goals to achieve maximum supply chain performance. Therefore, it is necessary to evaluate the supplier performance criteria needed by each company. The purpose of this research is to prioritize factors that contractors can use in selecting suppliers so that construction entrepreneurs can determine which suppliers can perform from the best criteria. One supplier selection method is the Analytic Hierarchy Process (AHP) method. However, this method still has a problem in the form of subjective assessment results, thus requiring a method that can overcome these problems, namely the Fuzzy Analytic Hierarchy Process method. Based on the literature study results, this research identifies 18 factors that influence the selection of material suppliers, which are grouped into six categories: Delivery, quality, price, service, performance, and management. Data collection in this study used questionnaires distributed to 10 respondents and processed using the Fuzzy AHP method. Based on the data processing that has been done, it is obtained that the criteria that prioritize local contractors in Yogyakarta in selecting suppliers are quality criteria with a value of 0,380, followed by cost criteria with a value of 0,283, and delivery criteria with a value of 0,157.
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Sukhorukikh, Yu I., S. G. Biganova, A. P. Glinushkin, and L. L. Sviridova. "Criteria for selecting plus trees for protective forestry." New Technologies 19, no. 1 (2023): 69–79. http://dx.doi.org/10.47370/2072-0920-2023-19-1-69-79.

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Protective forest strips are the basis of the environmental frame on sparsely wooded areas. To create such highly productive objects, the selection of the corresponding gene pool is required. Plus trees the representatives of this gene pool. The aim of the research is to develop criteria for highlighting plus trees for protective forestry, focused on the creation of plantings, the main parameter of which is the working height. 16 trial areas of cherry oak (Quércus róbur L.), black locust (Robinia Pseudoacia L.), green ash (Fraxinus lanceolata B.), European ash (Fraxinus excelsior L.), thorney locust (Gleditschia triacanthos L.), walnut (Juglans regia L.) have been laid out. A continuous recalculation of heights in 100–142 individuals have been recalculated on each trial area and their statistical indicators have been determined. The height of the trees had a normal or close to it statistical distribution at the studied objects. Data processing was carried out using the Stadia 8.0/Prof licensed program for Windows. The method of selecting plus trees has been proposed, the height of which should exceed the average one by 25% or more. A comparison of the proposed and well -known method has revealed that the proposed one can increase the breeding differential with instrumental selection by 48,25–53,78%, and with eye-instrumental selection by 31,15–41,39%. Criteria for trees of various selection categories have been developed. Due to different conditions, it is recommended to highlight plus trees separately in the extreme and mid-protective forest strips. With breeding inventory, it is also necessary to take into account the sanitary condition of the trees.
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Kostrikin, Viktor, Viktor Shirnin, and Svetlana Kryukova. "Criteria for Assessment of Plus Oak Stands." Lesnoy Zhurnal (Forestry Journal), no. 4 (July 21, 2021): 68–79. http://dx.doi.org/10.37482/0536-1036-2021-4-68-79.

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In the Voronezh region the share of seed plantations is less than half of the area of oak forests. Therefore, the regeneration of high-quality forests of seed origin with improved hereditary characteristics is a major challenge. In the production of seeds of improved breeding categories, plus stands play an important role. They produce improved seeds, if minus trees are removed. Moreover, permanent forest seed plots which were planted by the plus stand offspring, produce seeds of the required breeding category. Current laws and regulations do not provide specific recommendations on selection of plus stands. To address this issue and establish the criteria by which such forest stands should be selected we examined all the best stands containing plus trees in the Voronezh region (those that are candidates for plus stands). The frequency of occurrence of plus trees varies from 2 to 10 trees per 10 ha. We took the average value as the minimum to classify the forest plot as a plus stand. Marking forest stands as plus stands based on selection inventory data is recommended regardless of the time of the forest management fieldwork. Besides this, we performed a detailed inventory of the plus stand in the quadrant 41 of the Krasnoye divisional forestry area in the Vorontsovskoye forestry area on the area of 10.7 ha. The study was carried out on 10 trial plots (1 ha each), where a selection inventory was conducted, as well as an inventory of trees by technical assessment with a detailed description of each oak specimen by inventory characteristics, condition and the presence of flaws. The data obtained by selection inventory with identification of “good trees” (sum of plus and normally best trees) correlate with distribution of trees by technical assessment categories. The identified patterns can be used for selection inventory of oak plantations. We recommend to place stands in a category of plus stand if their forest density ranges from 0.7 to 0.9, more than 35 % of the trees have commercial wood and if this plot has at least one plus tree per two ha. Restoring oak forests with acorns harvested from plus stands will improve the quality of forest plantations.
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Cheshmberah, Mohsen. "Developing an Integrated Framework for Supplier Evaluation based on Relevant Attributes and Performance Measures." Logistics & Sustainable Transport 11, no. 1 (2020): 101–13. http://dx.doi.org/10.2478/jlst-2020-0007.

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AbstractSupplier evaluation and selection is essential to any organization, and planning an effective and comprehensive approach to that end seems inevitable. Meanwhile, determining the requisite criteria for evaluating and selecting suppliers is probably one of the most important steps to be taken towards developing an evaluation and selection model in the organization. In this article, first a review of the literature on the criteria and the field of supplier evaluation and selection are provided. These criteria are then placed into proper categories. In order to formulate a supplier evaluation and selection framework for the manufacturing organization under study, the implemented categorization is applied where a list of fifteen attributes and performance criteria is created; where upon it is secured with the help of a designated panel (project team). These features are then screened using Lawshe’s method the “social attribute” is removed from the list of fifteen. The remaining 14 other criteria are configured within the SEAP (Suppliers Evaluation based on Attributes and Performances) framework. The framework follows the objective of continually evaluating suppliers, both potential and actual ones through incorporating their performances into their qualification ratings. Based on the proposed framework, suppliers are evaluated on the basis of two types of criteria, - feature (attribute) and performance.
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Pongsathornwiwat, Narongsak, Van-Nam Huynh, and Chawalit Jeenanunta. "Developing Evaluation Criteria for Partner Selection in Tourism Supply Chain Networks." International Journal of Knowledge and Systems Science 8, no. 1 (2017): 39–52. http://dx.doi.org/10.4018/ijkss.2017010103.

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Effective partnership management is a crucial strategy for tourism firms in designing the services successfully as well as gaining the advantages dynamically. Literature suggests that the successful partnerships may be initiated at the beginning of selection process; however, there is a dearth of research on how to manage tourism partnerships effectively. This paper suggests the evaluation criteria proposed to assist tourism firms to effectively make a decision on selecting partners to start working with. In developing criteria, the authors first reviewed the available criteria in the other contexts, then conducted qualitative research using buyer and supplier firms in Thailand by in-depth interviewing with ten experts to refine and to verify these criteria proposed. After statistical verification, the results indicated that the proposed criteria consist of five main categories: performances, profiles, risk factors, product's characteristics and compatibilities. This study contributes the useful knowledge on how to select partners and manage partnerships effectively in tourism supply chain.
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Saarela, Anna-Maria. "Change of behaviour when selecting food products in a supermarket environment after reminding consumers about weight management." Public Health Nutrition 17, no. 5 (2013): 1147–55. http://dx.doi.org/10.1017/s136898001300044x.

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AbstractObjectiveThe aim was to explore how the behaviour of consumers changed while they selected food in a supermarket environment after they were reminded about weight management. This investigation was carried out from the perspective of selection criteria, reading of package labels, nutritional quality of the products selected and time taken to select a product.DesignThe subjects, who were actively watching their weight, participated in two consecutive tasks in a supermarket. They were given a shopping list of eleven food categories and asked to think aloud while selecting from each category a product they usually buy and a product they would use for weight management. The data (n 792 selections) were collected through interviews and a verbal analysis protocol combined with wireless audio-visual observation.SubjectsThirty-six consumers were recruited from a sample of 367 supermarket customers.SettingKuopio, Finland.ResultsThe subjects’ behaviour changed radically after they were reminded about weight management. In the first selection, taste and familiarity were the main food selection criteria while in the latter selection the energy/fat content predominated. Consequently, the nutritional quality of products improved greatly because subjects read package labels twice as much in the latter selection. The time taken to select a product increased significantly, on average, from 23 (sd 10) to 60 (sd 51) s/product (P = 0·000).ConclusionsOnly by reminding consumers about weight management was there a significant impact on their food selection behaviour. Marketing communication should be developed which quickly and easily promotes consumers’ awareness of healthy food in supermarkets.
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Majdoub, Soufyane, Chakir Loqman, and Jaouad Boumhidi. "A New Integer Model for Selecting Students at Higher Education Institutions: Preparatory Classes of Engineers as Case Study." Information 15, no. 9 (2024): 529. http://dx.doi.org/10.3390/info15090529.

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This study addresses the challenge of selecting outstanding students at higher education institutions under multiple constraints. We propose a novel integer programming solution to manage this process, formulating it as a constrained assignment problem with a maximization objective function. This function prioritizes the fair selection of students while respecting criteria such as academic qualifications, required skills, and student preferences. The goal is to develop a decision support system that efficiently selects qualified students at higher education institutions within a reasonable time. The model was tested using real data from Moroccan preparatory classes, achieving important assignment rates across all student categories. Results demonstrate significance in execution time, fulfillment of student choices, and prioritization of outstanding students. This approach offers a flexible, efficient solution for managing academic merit-based selections, optimizing resource utilization, and enhancing fairness in the selection process.
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Kadhim, Alaa Jawad, Mohammad Abbasinia, Mina Abolfazli, et al. "A qualitative study to explain the criteria of nursing managers in selecting effective nursing diagnosis." Frontiers of Nursing 11, no. 4 (2024): 469–77. https://doi.org/10.2478/fon-2024-0051.

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Abstract Objective This study aimed to explain the criteria of managers at different levels of nursing in selecting effective nursing diagnosis. Methods In conventional content analysis, 10 nursing managers at different levels including head nurse, supervisor, and nursing manager were interviewed. Data was collected with semi-structured interviews and a narrative approach. Data analysis was performed using the Zhang–Wildemuth method simultaneously with sampling. Results Four head nurses, four supervisors (educational, clinical), and two nursing managers were interviewed. The results of the analysis led to the extraction of two main categories: centrality of the nursing profession, with the sub-categories compatibility with nursing practices and compliance with organizational and professional principles of nursing, and covering the patient care aspect, with sub-categories of having potential to facilitate and adapting to patient care conditions. Conclusions The analysis of the views of nursing managers shows that health managers should consider various management aspects such as functional and organizational to increase the efficiency of nursing interventions in the selection of nursing diagnostic systems. From the point of view of health managers, nursing diagnoses should cover the considerations of patients, nurses, and work environments.
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Engelhardt, Bruijnen, Schnur, Pfadenhauer, Bohndorf, and Wölfle. "Duplex scanning criteria for selection of patients for internal carotid artery endarterectomy." Vasa 34, no. 1 (2005): 36–40. http://dx.doi.org/10.1024/0301-1526.34.1.36.

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Background: The value of carotid endarterectomy for stroke prevention depends on reliable identification of patients at higher risk for stroke from their internal carotid artery (ICA) occlusive disease than from surgery. This selection of patients is based on the degree of ICA stenosis. Therefore, preoperative diagnostic measures should strive for a prevalence independent probability for disease of 100%. Aim of this prospective study was to obtain clinically applicable duplex scanning criteria for ICA stenosis ≥70% with a probability for disease of 100%. Patients and methods: In 124 ICA in 62 patients (79% male) angiography and duplex scanning were performed. Degree of stenosis was classified in 4 categories: I < 50%; II 50%–69%; III 70%–99%; IV 100%. Cohen's kappa statistic was used to estimate agreement between both methods within categories. To improve accuracy post-test likelihood for disease was calculated for each point on the receiver operating characteristics (ROC)-curve for peak systolic (PSV) and end-diastolic velocity (EDV), and cut-off points for velocity criteria were set at a positive likelihood of 100%. Results: Diagnostic agreement was good with kappa = 0.77 (95% CI, 0.64–0.90; p < 0.001). For EDV a criterion of ≥150 cm/sec was associated with a post-test likelihood for disease of 100%. For PSV no appropriate criterion could be detected. Conclusions: A probability of 100% for ICA stenosis ≥70% can be achieved by mere preoperative duplex scanning. Vascular laboratory specific validation of duplex scanning criteria should consider prevalence independent post-test likelihood for disease to ensure the value of CEA for stroke prevention.
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Aldrianty, Hafsah, and Nidya Dudija. "DEVELOPING A JOB SATISFACTION MAP: IMPLEMENTING AHP IN THE FINANCIAL TECHNOLOGY (FINTECH) INDUSTRY ENVIRONMENT." Journal of Economic, Bussines and Accounting (COSTING) 7, no. 5 (2024): 4728–33. https://doi.org/10.31539/costing.v7i6.12527.

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This study seeks to address three primary inquiries: firstly, to establish priority criteria for selecting job satisfaction factors; secondly, to identify priority sub-criteria in the selection of these factors; and thirdly, to determine the most crucial factors influencing employee job satisfaction. Employing the Analytic Hierarchy Process (AHP) method, the research serves as an analytical tool to resolve the complexities of selecting job satisfaction factors and aids companies in establishing assessment criteria for these factors. The study focuses on three criteria categories—financial, social, and work environment factors—for measuring employee job satisfaction. Each criterion encompasses various relevant sub-criteria for evaluating job satisfaction. Utilizing the AHP method, the research analyzes assessment outcomes with a quantitative scale from 1 to 9, assessing the relative importance of each unit in comparison to others. Concentrating on factors impacting employee satisfaction in the information technology sector, this research offers a unique perspective compared to previous studies. The aim is to conclude and compare the influencing factors on employee job satisfaction levels in IT companies. The study's contribution lies in providing a comprehensive view of priorities and sub-priorities in the selection of job satisfaction factors.
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Basallo Gómez, Juan Sebastián. "Adult EFL Reading Selection: Influence on Literacy." PROFILE Issues in Teachers' Professional Development 18, no. 1 (2016): 167–81. http://dx.doi.org/10.15446/profile.v18n1.49943.

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<p><span>This paper is about the impact of systematic reading selection used to promote English as foreign language learning in adult students. A qualitative action research methodology was used to carry out this project. Ten class sessions were designed to provide students an opportunity to select texts according to criteria based upon their language levels and personal/professional interests. The findings align with three categories of influence: motivation, engagement, and contextualization/interpretation of readings. The main objective of this project was to see how the students’ text selection processes, guided by systematically designed criteria and elaborated strategies, influenced learning and acquisition in terms of motivation, perceptions, and opinions towards reading in English.</span></p>
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Tamošaitienė, Jolanta, Hadi Sarvari, Matteo Cristofaro, and Daniel W. M. Chan. "IDENTIFYING AND PRIORITIZING THE SELECTION CRITERIA OF APPROPRIATE REPAIR AND MAINTENANCE METHODS FOR COMMERCIAL BUILDINGS." International Journal of Strategic Property Management 25, no. 5 (2021): 413–31. http://dx.doi.org/10.3846/ijspm.2021.15225.

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All buildings require Repair and Maintenance (R&M) in their life cycle period. However, if R&M activities are not carried out properly, deterioration will occur, service life of buildings will be reduced, and maintenance costs will increase. Hence, selecting the appropriate R&M methods is pivotal, especially for developing countries, such as Iran, which are featured by highly constrained resources. The present study aims to identify and prioritize the main criteria for selecting the suitable R&M methods for Commercial Buildings (CBs), which is considered as a profound challenge for the Architecture, Engineering and Construction/Facility Management (AEC/FM) industry. A total of 20 senior experts in the AEC/FM industry and CBs in Iran were invited to participate in a Delphi survey to solicit their perceptions and opinions on the selection criteria. The total number of individual criteria identified is 16, which are further divided into five categories: human resources, flexibility and technical capability, risks, cost of maintenance, together with facilities and technology. Then, the Fuzzy Analytic Hierarchy Process (FAHP) technique was applied to prioritize the identified criteria. Among the 5 main selection criteria, the cost of maintenance is the most important criterion for selecting appropriate R&M methods for CBs whereas the criterion of human resources (HR) was recognized as the least important.
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Taherdoost, Hamed, and Mitra Madanchian. "Multi-Criteria Decision Making (MCDM) Methods and Concepts." Encyclopedia 3, no. 1 (2023): 77–87. http://dx.doi.org/10.3390/encyclopedia3010006.

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Multi-criteria decision-making (MCDM) is one of the main decision-making problems which aims to determine the best alternative by considering more than one criterion in the selection process. MCDM has manifold tools and methods that can be applied in different fields from finance to engineering design. This entry aims to provide a survey on the MCDM concept, its applications, main categories, and different methods. The final section provides manifold information and statistics on the published works in the MCDM fields. Some of the main methods are also listed in this section.
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Baghersad, Mahdi, Virginia P. Sisiopiku, and Avinash Unnikrishnan. "Evaluating Project Selection Criteria for Transportation Improvement Plans (TIPs): A Study of Southeastern U.S. Metropolitan Planning Organizations." Future Transportation 5, no. 2 (2025): 72. https://doi.org/10.3390/futuretransp5020072.

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Metropolitan Planning Organizations (MPOs) are required to prepare a Transportation Improvement Plan (TIP) that outlines a fiscal strategy over a four-year period in order to qualify for federal funding. However, the growing population and limited financial resources available often pose significant challenges for transportation agencies in aligning their needs with available budgets. This article examines the project selection criteria used by 20 MPOs in the Southeastern United States to identify the best practices for prioritizing projects in TIPs. Using document analysis, this study categorizes the most commonly used criteria into nine broad groups: safety and security; environmental impacts; mobility, accessibility, and connectivity; preservation; environmental justice; equity; economic factors; alignment with other plans; and local support. Many of these categories are further divided into subcategories and metrics. Despite variations in criteria, weighting, scoring, and methodologies across these MPOs, the study identifies several shared factors that support effective decision-making in regional transportation planning. These findings can help transportation planners and policymakers refine their project prioritization strategies, promote consistency, and lead to improved decision-making frameworks for future TIP development.
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Nana-Addy, Edward, and Innocent Musonda. "Exploring the Relationship between Project Selection and Approval Criteria and Infrastructure Sustainability." International Journal of Advanced Engineering and Management Research 07, no. 01 (2022): 01–25. http://dx.doi.org/10.51505/ijaemr.2022.7101.

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This research aimed at compiling project selection criteria and modelling a robust criterion for infrastructure project selection and approval to enhance sustainability. The decision to select and approve sustainable infrastructure project for development must base on a robust criterion. To handle this properly, first, decision-makers must adopt a robust criterion that aid infrastructure sustainability. The study employed a systematic literature review, methodology and thematic analysis procedure to identify infrastructure project selection and approval criteria from literature. A total of 34 project selection criteria were identified and grouped into five categories. Besides, four approval requirements and four sustainable indicators have been discussed. To avoid any ambiguous and unclear questions in the criterion, 40 professionals were selected purposively for the pilot survey. Descriptive and inferential statistical analyses were employed, and findings were used to improve the criteria. The quantitative phase of the study was conducted on 320 stakeholders who were either project selectors, approvers, advisors, or designers responsible for government projects. S.E.M. were adopted for the analysis and testing of the hypothesis. Moreover, the study has proposed a structure model that integrates identified criteria and indicators to enhance infrastructure selection and approval. Continuous professional development training is vital for all stakeholders to understand and adopt the proposed project selection and approval criteria model to improve infrastructure sustainability performance and to enhance project selection and approval practices. And it was also included in the design brief as a deliverable factor. This outcome serves as preliminary and exploratory research to aid further study on the project selection and approval criteria model for infrastructure sustainability.]
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Kronenberg, Felix Arnulf. "Selection Criteria for Commercial Off-the-Shelf (COTS) Video Games for Language Learning." IALLT Journal of Language Learning Technologies 42, no. 2 (2012): 52–78. http://dx.doi.org/10.17161/iallt.v42i2.8512.

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This article addresses criteria for choosing commercial off-the-shelf(COTS) games and their implementation in the classroom and other L2learning environments. The proposal and discussion of a set of suchcriteria, which include the categories of motivation and flow, clearlydefined and spaced goals, game skills and game mechanics, content,story and narrative, multimodality, agency, course integration andscaffolding, and financial, technical, and administrative considerationsare the focus of this article. This discussion is followed by the analysesof three examples of COTS games (Buzz, Heavy Rain, and SingStar)which may be suitable in a L2 learning context.
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Junaid, Muhammad, Uzair Khaleeq uz Zaman, Afshan Naseem, Yasir Ahmad, and Anas Bin Aqeel. "Material Selection in Additive Manufacturing for Aerospace Applications using Multi-Criteria Decision Making." MATEC Web of Conferences 398 (2024): 01012. http://dx.doi.org/10.1051/matecconf/202439801012.

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A decision-making methodology for the material selection is presented in this paper. A multi-criteria decision-making (MCDM) based hybrid approach, AHP-TOPSIS, was used to choose the appropriate additive manufacturing (AM) material for aerospace applications. This study evaluated nine polymer-based AM materials for an aerospace application. Experts from both industry and academia carefully finalized the selection criteria. Selected criteria are divided into three main categories: performance, economic and environmental. Firstly, the AHP approach was used to get the weights of criteria chosen via pairwise comparisons. Second, a decision matrix containing the properties of materials was created. The TOPSIS method was then applied using the AHP criteria weights and decision matrix, resulting in the final ranking of materials. ULTEM material ranked number 1 and was selected as the appropriate material for an aerospace application. Additionally, sensitivity analysis was also carried out to check the proposed method’s reliability and robustness.
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Benedict, Jennifer E., Elizabeth R. Neil, Zachary J. Dougal, Stacy E. Walker, and Lindsey E. Eberman. "Clinical Education Coordinators' Selection and Deselection Criteria of Clinical Education Experiences." Athletic Training Education Journal 17, no. 1 (2022): 117–28. http://dx.doi.org/10.4085/1947-380x-21-017.

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Context Athletic training students have identified clinical education as the most important aspect of their education when transitioning to practice. However, athletic training students have been frustrated with a lack of engagement, mentorship, and diversity within their clinical education experiences. As such, the selection and deselection of clinical sites is critical to creating effective learning experiences. Objective To explore how clinical education coordinators (CECs) select and deselect clinical education experiences (sites and preceptors) for clinical integration and immersion. Design Consensual qualitative research. Setting Individual teleconference interviews. Patients or Other Participants Thirteen CECs (age = 42 ± 8 years, experience in current role = 8 ± 8 years) from accredited professional master's programs who were in their position for at least 1 year and had at least 1 immersive rotation. Data Collection and Analysis All interviews were audio recorded and transcribed. A 3-person data analysis team used a multiphase process to identify the emerging domains and categories. Trustworthiness was established through member checking, multiple researcher triangulation, and auditing. Results Two themes emerged from the participant responses: accreditation compliance and strategic choices. We found participants expressed the theme of accreditation compliance as a major facilitator when selecting or deselecting clinical education placements. Strategic choices, such as student aspirations and focus on the quantity over the quality, were used by CECs to select clinical education placements which develop student autonomy and provide diverse experiences. However, the CECs engaged in convenient preceptor selection based on geographical location and previous relationships. Conclusion(s) Our findings suggest CECs leverage convenient clinical education opportunities that comply with accreditation expectations. CECs should be strategically selecting clinical education opportunities that move beyond accreditation minimum standards and focus on high-quality experiential learning, which leads to autonomous practice and embraces the diversity of the profession.
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Jones, Julie Miller. "Food processing: criteria for dietary guidance and public health?" Proceedings of the Nutrition Society 78, no. 1 (2018): 4–18. http://dx.doi.org/10.1017/s0029665118002513.

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The NOVA food categorisation recommends ‘avoiding processed foods (PF), especially ultra-processed foods (UPF)’ and selecting minimally PF to address obesity and chronic disease. However, NOVA categories are drawn using non-traditional views of food processing with additional criteria including a number of ingredients, added sugars, and additives. Comparison of NOVA's definition and categorisation of PF with codified and published ones shows limited congruence with respect to either definition or food placement into categories. While NOVA studies associate PF with decreased nutrient density, other classifications find nutrient-dense foods at all levels of processing. Analyses of food intake data using NOVA show UPF provide much added sugars. Since added sugars are one criterion for designation as UPF, such a proof demonstrates a tautology. Avoidance of foods deemed as UPF, such as wholegrain/enriched bread and cereals or flavoured milk, may not address obesity but could decrease intakes of folate, calcium and dietary fibre. Consumer understanding and implementation of NOVA have not been tested. Neither have outcomes been compared with vetted patterns, such as Dietary Approaches to Stop Hypertension, which base food selection on food groups and nutrient contribution. NOVA fails to demonstrate the criteria required for dietary guidance: understandability, affordability, workability and practicality. Consumers’ confusion about definitions and food categorisations, inadequate cooking and meal planning skills and scarcity of resources (time, money), may impede adoption and success of NOVA. Research documenting that NOVA can be implemented by consumers and has nutrition and health outcomes equal to vetted patterns is needed.
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Abebe Anshebo, Mekonnen, Wubishet Jekale Mengesha, and Daniel Lirebo Sokido. "Selection of the Most Appropriate Sustainable Buildings Assessment Categories and Criteria for Developing Countries: Case of Ethiopia." Urban and Regional Planning 7, no. 2 (2022): 55. http://dx.doi.org/10.11648/j.urp.20220702.14.

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Götze, Uwe, Fanny Richter, and Julia Döring. "A Stakeholder-Related Procedure Model for Social Sustainability Assessment." Sustainability 16, no. 23 (2024): 10396. http://dx.doi.org/10.3390/su162310396.

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The importance of assessing the sustainability of companies and their activities is increasing. Especially since the implementation of the new Corporate Social Reporting Directive, even more companies are committed to reporting on the impacts of their businesses on sustainability. This is a challenge especially concerning the social dimension of sustainability. Some frameworks present various relevant social criteria that can be used as a basis for assessment. However, these do not provide detailed suggestions for handling the numerous methodological challenges of such a multi-criteria assessment: identification and selection of the relevant stakeholders, categories and indicators to measure the impacts on social sustainability, weighting and aggregation of these criteria, etc. Therefore, this paper contributes to the methodology of social sustainability assessment by presenting a procedure model for this specific assessment task. The novelty of the model results from its foundation by a review of methods for selection, normalisation, weighting and aggregation of social criteria, existing decision theory-based procedure models, as well as a stakeholder-oriented catalogue of criteria. The procedure model is structured hierarchically by subdividing the overall social sustainability-assessment task into different levels: stakeholders, categories, and indicators. Furthermore, appropriate methods are suggested for the single steps of the procedure model.
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Egemen, Mehmedali. "Building Construction Clients’ Design Consultant and Contractor Selection Criteria Versus Post-Occupancy Satisfaction Levels." SAGE Open 12, no. 2 (2022): 215824402210899. http://dx.doi.org/10.1177/21582440221089968.

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In today’s competitive building construction markets, achieving clients’ satisfaction is of utmost importance. The choice of a design consultant and a contractor for a building project has a crucial influence on the post-occupancy satisfaction of the client. Hence, this study provides insights into private building construction clients’ perceptions of a set of criteria contributing to their selections of design consultant and contractor together with the resulting post-occupancy overall client satisfaction levels eventually reached, by presenting survey findings of 330 clients in North Cyprus construction market. Unlike previous studies, the current study combined all the interrelated and vital stages of design consultant and contractor selection with post-occupancy client satisfaction levels. A further contribution is differentiating among various types of client groups’ behaviors in each of the three specified stages. Clients in different categories had distinct approach differences in selection stages, and different post-occupancy satisfaction values indicating that firms may benefit from market segmentation. “Residential” and “<120,000£” type building clients were the least satisfied groups, while “project execution stage” and “functionality” emerged as major features creating dissatisfaction. The findings revealed the importance attached by the clients to “references about the firm” in the selection stages and low client satisfaction with the completed projects. Regression analysis findings revealed different design consultant and contractor selection factors predicting overall clients’ satisfaction while assigning high importance to the “cost-effectiveness approach of the firm” emerged as the only strong predictor of dissatisfaction. This study provides a guide for building construction clients to attain higher post-occupancy satisfaction and assists design consultants and contractors in adopting specific customer-focused strategies.
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Ridho Ilahi, Muhammad Barnaba, Fahrur Razi, Afif Maulana, and Babun Najib. "Hadith Critics Categories in The Selection of Hadith Narrators: A Comparative Analysis." Jurnal Ilmiah Al-Mu'ashirah 20, no. 2 (2023): 266. http://dx.doi.org/10.22373/jim.v20i2.16787.

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The abundance of scholarly approaches within the field of hadith studies, particularly disciplines like the science of criticism and verification (jarh wa ta’dil), utilized for classifying the authenticity of a hadith, underscores the significance of discerning between the soundness of the content (matn) and the reliability of the chain of narrators (sanad). In response to this phenomenon, hadith scholars have undertaken comprehensive critical examinations encompassing both the matn and sanad without neglecting their interrelationship. Within the realm of hadith scholarship, the evaluation of the sanad serves as a yardstick for assessing the validity of a hadith, whereby the authenticity of the sanad, untainted by disparagement (jarh), plays a pivotal role in determining the reliability of the hadith. In this study, a quantitative methodology has been employed as supplementary data for a library-based research approach. This choice is justified by the existence of disparate viewpoints among categories of hadith critics, which contribute to the determination of hadith authenticity. Each category of hadith critic adheres to specific criteria when ascertaining the soundness of a hadith. Accordingly, this article delves into an in-depth exploration of the different groups of critics of hadith narrators. The aim is to caution against hastily passing judgments on potentially weak hadiths, preventing their outright dismissal or preclusion as sources of legal evidence (dalil syari).
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Imm, Pamela, Brittany Grogan, and Ousmane Diallo. "Self-harm injury hospitalisations: an analysis of case selection criteria." Injury Prevention 27, Suppl 1 (2021): i49—i55. http://dx.doi.org/10.1136/injuryprev-2019-043514.

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BackgroundThis study explores the impact of using different criteria to identify nonfatal hospitalisations with self-harm injuries using 2017–2018 Wisconsin discharge data.MethodsUsing International Classification of Diseases, 10th Revision, Clinical Modification codes, we classified records by three mutually exclusive selection criteria: subset A--principal diagnosis of injury, and any code for self-harm, initial encounter only; subset B--non-injury principal diagnosis, and any code for self-harm, initial encounter only; subset C--any principal diagnosis, and any code for self-harm, subsequent and sequelae encounters only. These categories were used to conduct two separate logistic regression models. Model 1 analysed the impact of surveillance limited to a principal diagnosis of injury, initial self-harm encounter (subset B compared with A). Model 2 analysed the impact if limited to initial encounters for self-harm, regardless of principal diagnosis (subset C compared with (A+B)). Both patient-level and visit-level analyses were conducted.ResultsFor both patient-level models, subsets that included additional records based on an expansion of selection criteria were significantly more likely to include children (model 1: OR 2.8, model 2: OR 2.9; compared with those 25–54 years), those with mental health disorders (model 1: OR 6.5, model 2: OR 4.3) and rural residents (model 1: OR 1.2, model 2: OR 1.4). Drug-related disorder and means of self-harm were significantly different among subsets for both models. Visit-level analyses revealed similar results.DiscussionExpanding case selection criteria would better capture the scale of hospitalisation for nonfatal self-harm. Using restrictive selection criteria may result in biased understanding of the affected populations, potentially impacting the development of policy and prevention programmes.
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Annell, Stefan, Petra Lindfors, and Magnus Sverke. "Police selection – implications during training and early career." Policing: An International Journal of Police Strategies & Management 38, no. 2 (2015): 221–38. http://dx.doi.org/10.1108/pijpsm-11-2014-0119.

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Purpose – The cost of selecting and training new police officers is high. However, previous research has provided limited guidance on how to select the best applicants. The purpose of this paper is to enhance the understanding of the possibilities to select suitable applicants by using combinations of four common categories of selection methods, namely cognitive tests, personality inventories, physical tests, and rater-based methods (i.e. interviews). Design/methodology/approach – Using a sample of Swedish police recruits (n=750) the authors performed hierarchical multiple regression analyses, predicting four criteria – performance, satisfaction, retention, and health – at three consecutive time points (after two years of academy training, after six months of field training, and after the first work year). Findings – No group of selection methods consistently predicted all four criteria at the three time points. In most analyses more than one class of selection methods were statistically significant, but the findings did not support the use of rater-based methods. Practical implications – Instead of the common praxis of using interviews, the findings suggest an alternative praxis. This involves using the remaining information from cognitive tests, personality inventories, and general fitness tests that had been used in earlier hurdles to screen out unsuitable applicants. Originality/value – The study extends previous research by including several follow-ups, showing the value of combining different selection methods, and using alternative criteria of successful police recruitment (i.e. satisfaction, retention, and health).
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Macdonald, D. R., T. L. Cascino, S. C. Schold, and J. G. Cairncross. "Response criteria for phase II studies of supratentorial malignant glioma." Journal of Clinical Oncology 8, no. 7 (1990): 1277–80. http://dx.doi.org/10.1200/jco.1990.8.7.1277.

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We suggest "new" response criteria for phase II studies of supratentorial malignant glioma and favor rigorous criteria similar to those in medical oncology, with important modifications. Four response categories are proposed: complete response (CR), partial response (PR), stable disease (SD), and progressive disease (PD). Response in this scheme is based on major changes in tumor size on the enhanced computed tomographic (CT) or magnetic resonance imaging (MRI) scan. Scan changes are interpreted in light of steroid use and neurologic findings. We advocate careful patient selection, emphasize pitfalls in the assessment of response, and suggest guidelines to minimize misinterpretations of response.
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Ilinov, Aleksey A., and Boris V. Raevsky. "Genetic diversity of Scots pine trees of different selection categories in plus stands of Karelia." Ecological genetics 19, no. 1 (2021): 23–35. http://dx.doi.org/10.17816/ecogen50176.

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Background: Genetic control is necessary at all stages of forest selection for the effective use of objects of unified genetic-selection complex (UGSC). This is particularly important for performing a breeding inventory. The aim of the present study was to evaluate the genetic variability of trees of different selection categories in several plus stands of Scots pine.
 Materials and methods: 116 trees of Scots pine of various selection categories have been selected from four plus stands within the middle taiga subzone of Karelia. The analysis of the pine samples had been performed using four nuclear SSR loci tests. DNA fragments were separated on a sequencer CEQ 8000. The main criteria of the genetic diversity and F-statistics were calculated. The genetic structure of the selection groups was evaluated using the coefficient of genetic originality (CGO).
 Results: All the selection groups evaluated with CGO were characterized by a low content of alleles, which are rare for this part of the Scots pine areal. The plus trees were characterized by a reduced level of genetic diversity (Ho = 0.480.59; He = 0.470.59) as compared to minus (Ho = 0.460.64; He = 0.490.65) and normal trees (Ho = 0.500.69; He = 0.490.65). However, the observed differences between the breeding groups were not statistically significant.
 Conclusion: The absence of significant differences between the selection groups indicates the need of a separate assessment of the genetic and economic value of plus trees according to their phenotype. The obtained data is necessary for the organization of objects of UGSC, testing of clonal and seed offspring of plus trees, certification of clones, etc.
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Vrcelj Božić, Ana, Nataša Hoić-Božić, and Kristian Stančin. "Technological Aspects of Gamification: Criteria for the Selection of Digital Tools and Platforms." European Conference on e-Learning 23, no. 1 (2024): 538–41. http://dx.doi.org/10.34190/ecel.23.1.2568.

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This work-in-progress paper describes research conducted as part of the ongoing project "Enhancing Motivation for Learning Through Gamification", whose main aim is to develop a pedagogical-technological gamification framework to help high school teachers design and implement gamification activities. The research will be conducted using the Design-Based Research (DBR) methodology. Currently, the project is focussing on researching the technological aspects of the gamification framework. This paper proposes criteria to consider when selecting digital tools and platforms for gamification and presents the results of analysing selected tools. The main contribution of the paper lies in its own categorisation of the gamification criteria based on the MDA framework, in which the gamification categories are described according to Mechanics, Dynamics and Aesthetics. As an example of the application of the categorisation, the analysis of the gamification tool Kahoot! is described in detail.
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Salim, Agus, Hamsi Mansur, and Agus Hadi Utama. "EVALUASI KETEPATAN PEMILIHAN MEDIA PEMBELAJARAN JARAK JAUH DI MASA PANDEMI COVID-19." Al-Falah: Jurnal Ilmiah Keislaman dan Kemasyarakatan 20, no. 2 (2020): 102–16. http://dx.doi.org/10.47732/alfalahjikk.v20i2.141.

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Distance learning media is a learning component that is an integral part of the learning process during the Covid-19 pandemic. The use of distance learning media can help the process of delivering messages from teachers to students to be more effective. Selection of the right distance learning media requires the use of certain principles and criteria so that it is appropriate in choosing a distance learning media because each learning media should have different characteristics and usability specifications. This study aims to conduct a summative evaluation of the accuracy of selecting distance learning media during the Covid-19 pandemic. Distance learning media that will be summative evaluation are all subjects found by researchers in junior high schools throughout Banjarmasin City through the population method and the sample using purposive random sampling technique as many as 5 Banjarmasin City Junior High Schools. The data analysis technique in this summative evaluation is carried out in a descriptive-qualitative manner using a model of the principles and criteria used to evaluate the accuracy of the selection of distance learning media which consists of four components, namely: suitability with the material, suitability with student characteristics, suitability with learning styles. students, and the suitability of supporting facilities. The results showed that the mapping of the accuracy of the selection of distance learning media in the Banjarmasin City Junior High School has fulfilled the four criteria for the accuracy of selecting the right learning media with good categories.
 
 Keywords: Evaluation, Accuracy of Distance Learning Media Selection
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Życzkowski, Marcin. "Sailing Route Planning Method Considering Various User Categories." Polish Maritime Research 27, no. 3 (2020): 149–58. http://dx.doi.org/10.2478/pomr-2020-0056.

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AbstractThe article describes the methodology related to determining the multi-criteria routes for sailing ships. Details of sea area discretisation and discretisation of the description of the sailing vessel properties and manoeuvring principles are shown. User requirements were specified (for five different categories of users) and on this basis the criteria for selecting the most suitable shipping route were formulated. The presented algorithm recommends a route for a given user category by means of defined restrictions and configuration parameters. The applied multi-criteria approach proves the universality and usability of the sailing ship route planning method.
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Elvyanti, Siscka, Yadi Mulyadi, and Iwan Kustiawan. "The Teachers' Selection of The Use of Learning Management Systems in Teaching and Learning." Jurnal Ilmiah Pendidikan Teknik dan Kejuruan 15, no. 2 (2022): 83. http://dx.doi.org/10.20961/jiptek.v15i2.66087.

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<p><em>The selection of a website as a reference for learning directly affects the quality of information for the person who accesses it. The objectives and expected results of the learning management system depend on the quality of the teaching process and its effectiveness in online access. This research is expected to support teachers who carry out the teaching and learning process virtually during the pandemic. The research method used is quantitative, with a descriptive approach for evaluating, ranking, and choosing the learning management system. Based on the research survey, the criteria for analysis of the LMS platforms in this paper are summarized in three categories: learning skills tools, communication within LMS tools, and ease of use tools. The main goal is to present a comparative analysis of 5 electronic learning management systems. From the teachers' view in this research, only one LMS supports all three categories. The critical criteria of LMS are supported by video conference, chat room for personal discussion, and simple to use.</em></p>
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Ghoushchi, Saeid Jafarzadeh, Shabnam Rahnamay Bonab, Ali Memarpour Ghiaci, Gholamreza Haseli, Hana Tomaskova, and Mostafa Hajiaghaei-Keshteli. "Landfill Site Selection for Medical Waste Using an Integrated SWARA-WASPAS Framework Based on Spherical Fuzzy Set." Sustainability 13, no. 24 (2021): 13950. http://dx.doi.org/10.3390/su132413950.

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Selecting suitable locations for the disposal of medical waste is a serious matter. This study aims to propose a novel approach to selecting the optimal landfill for medical waste using Multi-Criteria Decision-Making (MCDM) methods. For better considerations of the uncertainty in choosing the optimal landfill, the MCDM methods are extended by spherical fuzzy sets (SFS). The identified criteria affecting the selection of the optimal location for landfilling medical waste include three categories; environmental, economic, and social. Moreover, the weights of the 13 criteria were computed by Spherical Fuzzy Step-Wise Weight Assessment Ratio Analysis (SFSWARA). In the next step, the alternatives were analyzed and ranked using Spherical Fuzzy Weighted Aggregated Sum Product Assessment (SFWASPAS). Finally, in order to show the accuracy and validity of the results, the proposed approach was compared with the IF-SWARA-WASPAS method. Examination of the results showed that in the IF environment the ranking is not complete, and the results of the proposed method are more reliable. Furthermore, ten scenarios were created by changing the weight of the criteria, and the results were compared with the proposed method. The overall results were similar to the SF-SWARA-WASPAS method.
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Yusof, N., M. A. Abas, N. A. Rohana, and M. R. Mohd Perang. "Route selection for road vehicle real-driving emissions test using GIS." IOP Conference Series: Earth and Environmental Science 1143, no. 1 (2023): 012027. http://dx.doi.org/10.1088/1755-1315/1143/1/012027.

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Abstract The European Commission has developed a Real-Driving Emissions (RDE) test for road vehicles that complies with the urban, rural and motorway criteria to ensure the exhaust emission produced could be accurately evaluated. Therefore, careful measures are taken in selecting the best routes to ensure the testing fulfils the targeted criteria. As there is no common method exist to select the testing route, analysis on the testing route selection was implemented using Geographic Information System (GIS) platform that is capable to deal with large vector data. Thus, the proposed framework facilitates the testing route selection process which is difficult to determine without a proper spatial analysis of network data. Specific route information comprises of road categories, route speed range and route classes were collected from the Open StreetMap (OSM) database. The generated route density and the topological route network structure were used to further analyse the suitability route as the requirement of Real-Driving Emissions test. As a result, five candidates of Real-Driving Emissions test route have been selected in Malaysia as a case study using GIS platform.
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Abdul Samat, Norhanim, Nur Alwani Syahirah Azmi, and Tina Abdullah. "The Voice of Learners on English Literary Texts: Passing on the Mantle." Arab World English Journal 12, no. 4 (2021): 153–66. http://dx.doi.org/10.24093/awej/vol12no4.11.

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This study examines how pre-service teachers assess the appropriateness of literary texts used by high school students in terms of learners’ age, linguistic needs, and language proficiency. It also aims to determine the relevance of the texts used to learners’ cultural understanding. The participants in this study were five pre-service teachers who participated in a content analysis study of five literary texts. They analyzed the content of the texts using the four categories of textbook evaluation criteria proposed by Tomlinson (2001), namely, media-specific criteria, content-specific criteria, learner-specific criteria, and language criteria. The evaluation results were positive. All participants agreed that all five texts were appropriate for high school learners, with average levels of compliance ranging from moderate to appropriate. In addition to selecting texts that are appropriate for the learners’ language level, the topics and issues addressed in the texts should also be appropriate for the learners’ interest, so the selection of literary texts is crucial. Finally, more local texts should be selected for the English literature curriculum to highlight local cultures and practices. It is expected that this study will contribute to English language teaching as the findings of this study will provide necessary information to those who are concerned with the selection of appropriate literary texts for schools. In addition, this study will raise awareness among teachers and curriculum designers of the need to consider learners’ level of competence when evaluating and selecting from the many literary texts available.
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Kavale, Kenneth A., Steven R. Forness, and Arthur E. Alper. "Research in Behavioral Disorders/Emotional Disturbance: A Survey of Subject Identification Criteria." Behavioral Disorders 11, no. 3 (1986): 159–67. http://dx.doi.org/10.1177/019874298601100306.

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A survey of 323 research studies in behavioral disorders/emotional disturbance was conducted to determine the nature and prevalence of the behavioral disorders/emotional disturbance identification criteria used to select subjects. Five categories of behavioral disorders emotional disturbance were found. The two most popular methods of subject selection were based on either previous classification (or diagnosis) or psychometric procedures using various assessment instruments. These two methods accounted for 75% of the studies surveyed. Besides general categories, specific identification criteria were analyzed and were found to be either primary or secondary indicators. Finally, identification criteria were analyzed by discipline (i.e., education, psychology, medicine). These findings led to the conclusion that the behavioral disorders/emotional disturbance research literature presents a divergent picture with respect to the nature and prevalence of behavioral disorders/emotional disturbance, and reflects a lack of consensus regarding standard identification criteria. The consequences are found in the absence of narrowly focused behavioral disorders/emotional disturbance subject samples which interferes with the basic scientific processes of generalization and replication.
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Priyatno, Arif Mudi, and Triyanna Widiyaningtyas. "A SYSTEMATIC LITERATURE REVIEW: RECURSIVE FEATURE ELIMINATION ALGORITHMS." JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) 9, no. 2 (2024): 196–207. http://dx.doi.org/10.33480/jitk.v9i2.5015.

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Recursive feature elimination (RFE) is a feature selection algorithm that works by gradually eliminating unimportant features. RFE has become a popular method for feature selection in various machine learning applications, such as classification and prediction. However, there is no systematic literature review (SLR) that discusses recursive feature elimination algorithms. This article conducts a SLR on RFE algorithms. The goal is to provide an overview of the current state of the RFE algorithm. This SLR uses IEEE Xplore, ScienceDirect, Springer, and Scopus (publish and publish) databases from 2018 to 2023. This SLR received 76 relevant papers with 49% standard RFEs, 43% strategy RFEs, and 8% modified RFEs. Research using RFE continues to increase every year, from 2018 to 2023. The feature selection method used simultaneously or for comparison is based on a filter approach, namely Pearson correlation, and an embedded approach, namely random forest. The most widely used machine learning algorithms are support vector machines and random forests, with 19.5% and 16.7%, respectively. Strategy RFE and modified RFE can be referred to as hybrid RFEs. Based on relevant papers, it is found that the RFE strategy is broadly divided into two categories: using RFE after other feature selection methods and using RFE simultaneously with other methods. Modification of the RFE is done by modifying the flow of the RFE. The modification process is divided into two categories: before the process of calculating the smallest weight criteria and after calculating the smallest weight criteria. Calculating the smallest weight criteria in this RFE modification is still a challenge at this time to obtain optimal results.
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Rouhani, Saeed, and Ahad Zare Ravasan. "A Fuzzy TOPSIS based Approach for ITSM Software Selection." International Journal of IT/Business Alignment and Governance 5, no. 2 (2014): 1–26. http://dx.doi.org/10.4018/ijitbag.2014070101.

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Nowadays a growing interest in Information Technology Service Management (ITSM) proves the trends and needs of their implementation in organizations. In order to implement an ITSM project successfully in an organization, it is essential to select a suitable ITSM software. Evaluation and selection of the ITSM software packages is complicated and time consuming decision making process. This paper presents an approach for dealing with such a problem. This approach introduces functional, non-functional and fuzzy evaluation method for ITSM software selection. The presented ITIL based approach breaks down ITSM software selection criteria into two broad categories namely functional (service strategy, service design, service transition, service operation, continual service improvement according to ITIL V3) and non-functional requirements (quality, technical, vendor, implementation) including totally 46 selection criteria. A facile Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) was customized for ITSM software selection based on identified criteria. The proposed approach is applied to a local Iranian company in the field of IT services in order to select and acquire an ITSM software and the provided numerical example illustrates the applicability of the approach for ITSM software selection. The approach can help practitioners assess ITSM software more properly and have a better software acquisition decision with growth in customer satisfaction and service time reduction.
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Николаев, E. Nikolaev, Славский, V. Slavskiy, Тимащук, and Darya Timashchuk. "Estimated criteria of quality of fruits walnut in the Central Chernozem region." Forestry Engineering Journal 5, no. 4 (2015): 58–66. http://dx.doi.org/10.12737/17403.

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Full reproduction of steady and productive forest and landscape gardening plantings requires carrying out acclimatization of perspective species of wood plants in modern conditions of climatic changes and anthropogenous process. Improvement of a condition of cultures and plantations of nut bearing plants is a component of system of actions for increase of production of the food. Among nut bearing breeds of the most valuable the walnut (Juglans regia L is.). The introduction, selection and broad cultivation of a nut walnut in all areas suitable on climate in roadside protective forest belts, in gardening of settlements etc. are necessary. Cultivation of this breed demands carrying out the selection works directed on removal of grades and forms with quality fruits. Purposeful cultivation of cultures of a walnut demands development of effective methods of selection, including hybridization. In work the developed technique of determination of quality of fruits of a walnut for the Central Chernozem region which is necessary not only in connection with the available different interpretations, but also for the complex analysis of all quality indicators of fruits is presented. The generalized modernized system of definition of categories of economic value of fruits was developed for the Central Chernozem region. The main average indicators of external parameters and quality of fruits of local forms are defined and the generalizing table of distribution of qualitative signs on the established gradation is made. The selection and identification of potentially productive plants is an important issue and requires detailed study.
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47

Rehan, Muhammad, Norhalina Senan, Muhammad Aamir, et al. "A Systematic Analysis of Regression Test Case Selection: A Multi-Criteria-Based Approach." Security and Communication Networks 2021 (September 21, 2021): 1–11. http://dx.doi.org/10.1155/2021/5834807.

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In applied software engineering, the algorithms for selecting the appropriate test cases are used to perform regression testing. The key objective of this activity is to make sure that modification in the system under test (SUT) has no impact on the overall functioning of the updated software. It is concluded from the literature that the efficacy of the test case selection solely depends on the following metrics, namely, the execution cost of the test case, the lines of the code covered in unit time also known as the code coverage, the ability to capture the potential faults, and the code modifications. Furthermore, it is also observed that the approaches for the regression testing developed so far generated results by focusing on one or two parameters. In this paper, our key objectives are twofold: one is to explore the importance of the role of each metric in detail. The secondary objective is to study the combined effect of these metrics in test case selection task that is capable of achieving more than one objective. In this paper, a detailed and comprehensive review of the work related to regression testing is provided in a very distinct and principled way. This survey will be useful for the researchers contributing to the field of regression testing. It is noteworthy that our systematic literature review (SLR) included the noteworthy work published from 2007 to 2020. Our study observed that about 52 relevant studies focused on all of the four metrics to perform their respective tasks. The results also revealed that about 30% of the different categories of regression test case reported the results using metaheuristic regression test selection (RTS). Similarly, about 31% of the literature reported results using the generic regression test case selection techniques. Most of the researchers focus on the datasets, namely, Software-Artefact Infrastructure Repository (SIR), JodaTime, TreeDataStructure, and Apache Software Foundation. For validation purpose, following parameters were focused, namely, the inclusiveness, precision, recall, and retest-all.
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Wills, Dr. Wilfredo Molina. "Coding and Categorization of Qualitative Data in the Area of Health." International Journal of Research 10, no. 5 (2023): 134–42. https://doi.org/10.5281/zenodo.7911145.

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<em>The objective of this study was to describe the procedures for coding and categorizing qualitative research data applied in the health area. It describes the steps for the integration of processes to construct categories, the criteria for selection and exclusion of categories, the transformation of qualitative data into quantitative, typification, and the adaptability of codes based on the data.</em>&nbsp;<em>Conclusion: qualitative research in health sciences requires the processes of categorization and coding during the analysis and interpretation of the theoretical content to increase the reliability of the results.</em>
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Moradi, PhD Candidate, Saeed, Viren Vasandani, BS Student, and Ali Nejat, PhD. "A review of resilience variables in the context of disasters." Journal of Emergency Management 17, no. 5 (2019): 403–32. http://dx.doi.org/10.5055/jem.2019.0431.

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The increasing impacts of disasters, caused by more frequent extreme events coupled with the growth of adverse anthropogenic activities, has raised the importance of fostering more resilient communities. Measuring resilience is a vital step in the process of building and strengthening a community’s resilience as it helps with identifying the priorities and monitoring the progress. The objective of the current research is to catalog variables proposed in the literature as measures of households’ resilience to disasters. Searching the literature through content analysis and applying three selection criteria resulted in a list of 149 variables. These criteria required the variables to be influential on disaster resilience of households, to be quantitatively measurable, and to be obtainable from publicly available data sources. Additionally, a selection of resilience and vulnerability assessment models suggested in the literature were reviewed to highlight the importance of resilience variables in addressing their planned objectives. The variables were classified into five categories titled demographic, socioeconomic, infrastructural, environmental, and institutional. Further analysis of the variables led to identification of the most prevalent variables and commonalities among the categories, aimed to provide a more integrated approach toward resilience planning. This research can serve as an initial yet relatively extensive inventory for selecting variables that are deemed to be influential on households’ resilience to extreme events. Further, quantifying a community’s resilience using resilience variables can help with identifying and prioritizing the resilience needs, monitoring the progress, and justifying the costs of resilience programs.
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Keiding, Tina Bering, and Josefine Dalum Hansen. "Undervisningens indhold: universitetsdidaktikkens stedbarn." Dansk Universitetspædagogisk Tidsskrift 7, no. 13 (2012): 106–19. http://dx.doi.org/10.7146/dut.v7i13.6212.

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Undervisere foretager løbende indholdsmæssige valg. Spørgsmålet om indholdsudvælgelse adresseres dog sjældent i teori om undervisning på videregående uddannelser. Med udgangspunkt i kategorier primært genereret fra almendidaktikken beskrives og diskuteres 116 underviseres begrundelser for valg af indhold. Analysen viser, at underviserne har en betydelig autonomi i udvælgelse af indhold. Centrale begrundelser er opfattelsen af fundamentale begreber og problemstillinger, forskningen, at indholdet skal præsentere emnet bredt samt den valgte lærebog. Deltagerforudsætninger, værdi for fremtiden og indholdets eventuelle reference til studieordningen fremhæves i mindre omfang. Afslutningsvist diskuteres almendidaktikkens modellers potentiale i universitetsundervisning.Teachers continuously make decisions on content. However, theory about teaching and learning in higher education deals only sporadic with criteria for selection of content. This study examines 116 assignments concerning selection of content using categories from general didactics. The analysis shows that teachers have a considerable autonomy in selection of content. Significant criteria for selection is that content is regarded to present fundamental concepts and problems, its relation to research, that it gives a broad presentation of the topic, and the text book. Students’ actual knowledge, value for their future life, and the curriculum are less often emphasized as criteria for selection of content. The final section discusses potentials and limitations in application of general didactics to higher education.
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