Realistic Criteria Research Articles

PENGEMBANGAN MODUL BIOLOGI BERBASIS GUIDED DISCOVERY LEARNING BAGI SISWA SMP

In today's educational development, teachers are expected to be creative thinkers and producers of a variety of learning media. An additional type of educational resource that can be employed is a module. The purpose of the study is to assess whether a course on biology using guided discovery will be viable and useful. R&D is a methodology with materials and response language for JHS students, as well as validation tools from media experts. An average of 85 per cent of data collected through the validation process by qualified experts was found to meet very good criteria; similar levels were 80% for media and 95% for language experts. With extremely realistic criteria, the average score for teachers' and students' responses in the practical test was 88% and 90%, respectively. Based on the findings of this research, a biology course based on guided discovery learning can be used as teaching material for contaminated materials.

Pengaruh Beban Kerja Terhadap Efektivitas Kerja Karyawan Di Dinas Perdagangan Kota Bandung

The purpose of this paper is to analyze the effect of workload on the effectiveness of work work of employees of the Ministry of Trade. This research method is quantitative, with the number of samples taken as many as 31 in the city of Bandung. Data collection techniques use primary data generated from questionnaires that have been tested for validity, reliability, partial hypothesis (T), and coefficient of determination (R2). From the validity test table get the results of the analysis of both variables, namely; workload (x) and work effectiveness (Y) Obtain R-count values > R-Tables. According to the provisions, a variable is said to be valid if the value of R-Calculate > R-Table with a minimum of 0.5. From the reliability test table, the results of all variables have a greater value of Crobach's alpha > 0.6, which means that all variables can meet standard and realistic criteria. From the test table T get the workload sig value (X) 0.019 < 0.5 and the calculated T value 2.495 > 1.69726. This means that there is an effect of workload (X) on work effectiveness (Y). From the R2 test table, the value in the Adjusted R Square is 0.148, which means that the effect of workload (X) on work effectiveness (Y) in the trade service is 54.8%, while the remaining 45.2% is influenced by other variables

Prioritizing Influential Factors on Tourist Decision-Making for Choosing Destinations Using Parsimonious Analytical Hierarchy Process (PAHP)

ABSTRACT The increasing number of touristic attractions and destinations within urban environments has led to an escalation in the complexity of decision-making processes for visitors. This study provides insights to assist the tourists’ decision-making for choosing destinations by considering realistic criteria. The objective of current research is to prioritize the following criteria: travel time, travel cost, privacy, weather, rating, accessibility, security, safety, environmental effects, and health effects. An empirical study on touristic destinations in Budapest city with two main scenarios was conducted, where Parsimonious Analytical Hierarchy Process (PAHP), a recently Multi-Criteria Decision Making (MCDM) developed approach, is applied. The results show that the security criterion has the highest priority with a final weight of 0.567, while the lowest influential criterion is privacy with a weight of 0.051. The findings attempt to assist tourists in decision-making and planning with correspondence between the characteristics of touristic destinations and trip circumstances.

'Led by Intelligence': A Scoping Review on the Experimental Evaluation of Intelligence-Led Policing.

Intelligence-led policing (ILP) was introduced in the 1990s as a proactive approach to policing, but to date, there is a lack of studies that have synthesized and summarized the central characteristics and insights of (quasi-)experimental studies related to ILP. This study aims to address this gap by synthesizing and characterizing the central characteristics of 38 quasi-experimental and experimental studies related to ILP. In this study, a scoping review is conducted on different quasi-experimental and experimental studies that relate to the framework of ILP. It was found that most studies within the domain of ILP focus on testing the crime reduction effects of using spatio-temporal crime intelligence to deploy police resources more efficiently and effectively. However, some studies have combined different types of crime intelligence or used solely offender-related intelligence. Several statistical-methodological challenges were also identified that should be considered when designing experimental research within the domain of ILP. Additionally, most studies focused solely on measuring crime reduction, with few focusing on secondary effects of interventions. The review concludes that future evaluation studies should consider evaluating the use of different types of crime intelligence and establish specific, objective, and realistic criteria for measuring specific performance measures such as crime disruption. Future experimental research within the domain of ILP should consider applying the 3-i model, evaluating each leg of ILP thoroughly. The limitations of the study are also discussed. This review provides valuable insights for future research and development of ILP-related approaches.

Evaluation of Semantic Answer Similarity Metrics

There are several issues with the existing general machine translation or natural language generation evaluation metrics, and question-answering (QA) systems are indifferent in that context. To build robust QA systems, we need the ability to have equivalently robust evaluation systems to verify whether model predictions to questions are similar to ground-truth annotations. The ability to compare similarity based on semantics as opposed to pure string overlap is important to compare models fairly and to indicate more realistic acceptance criteria in real-life applications. We build upon the first to our knowledge paper that uses transformer-based model metrics to assess semantic answer similarity and achieve higher correlations to human judgement in the case of no lexical overlap. We propose cross-encoder augmented bi-encoder and BERTScore models for semantic answer similarity, trained on a new dataset consisting of name pairs of US-American public figures. As far as we are concerned, we provide the first dataset of co-referent name string pairs along with their similarities, which can be used for training.

Virtual and didactic approach to the defensive heritage of the 16th century Fort of the Trinitat (Roses, Girona)

The Trinitat Fort, built in the mid-16th century, is an extraordinary example of European military architecture from the mid-16th century, conceived as an artillery machine, whose mission was to protect the natural port of Roses (Girona, Spain). The fortification had a long history of warfare that ended with the Peninsular War (1808–1814), which turned it into ruins. In 2002, the Roses city council planned an ambitious architectural intervention to recover the fortification. The works restored the overall exterior volumetry, with current construction materials. The large interior spaces resulting from the intervention had little in common with the original structures. Starting in 2016, the museum projected to open the fort to the public. The strategy focused on 3D works, which were used to plan museographic proposals and to make an interior space understandable, with an aspect very distant from that of the original construction. It entailed extensive fieldwork analyzing the sources and structural remains that were preserved and surmising the possible architectural solutions the fortress originally contained. Based on evidence and hypotheses, the group carried out a reconstruction from virtual archeology, and it developed a didactic iconography to explain the artifact to a broad spectrum of visitors and students. This iconography was applied on the panels, in the scenography and audiovisuals of the museum, and in the dissemination materials. The museography was implemented between 2019 and 2021. Considering the variables and comprehensive needs for a wide range of users and visitors, we completed the virtual archeology proposal based on realistic criteria, giving importance in 3D to textures and colors. It incorporated the anthropic and movable factors through matte painting techniques and images obtained with the support of re-enactment groups.Highlights: - The Fort of the Trinitat, built in the middle of the 16th century, is an extraordinary poliorcetic piece, conceived as an artillery machine, whose mission was to protect the natural port of Roses (Girona, Spain). - Between 2019 and 2021, an ambitious reconstruction of virtual archaeology has been carried out, developing a didactic iconography aimed at broad-spectrum visitors and formal education students. - The didactic iconography proposal developed in the Fort of the Trinitat does not try to compete with the large market productions, but it does try to explore sustainable intervention models to make the past and its heritage known.

Development and analysis of priority decision rules using MCDM approach for a flexible job shop scheduling: A simulation study

Flexible job shop scheduling problem (FJSSP) is a critical operational planning step in manufacturing that ensures on-time delivery of goods leading to customer satisfaction. The process of assigning jobs to machines has a larger solution space and consumes a huge amount of time and effort. This research focuses on solving FJSSP using the discrete event simulation (DES) model and integrates it with Composite Dispatching Rules (CDRs) and multi-criteria decision making (MCDMs) based priority rules. Performance evaluation of the flexible job shop is carried out to minimize the Makespan, mean Flow-Time, mean Tardiness, and maximum Tardiness. Best performing CDRs and hybrid MCDM techniques are employed for minimizing the objectives considered in this study. The proposed solution framework integrates Fuzzy Analytic Hierarchy Process (FAHP) for assigning weights to the criteria and MCDM approaches namely technique for order of preference by similarity to ideal solution (TOPSIS), The Evaluation based on Distance from Average Solution (EDAS), Compromise Programming (CP), and Weighted Average Method (WAM) separately to prioritize the jobs. Benchmark problems of different sizes are tested using the best performing CDRs available in the literature and proposed MCDM approaches. The proposed approach is implemented in a real-world large-scale flexible job shop (FJS) that produces auto components handling 114 job variants with 245 operations using 28 machines. The performance analysis indicates that no single rule outperforms all the objective measures considered in this study. The MCDMs based rules perform better compared to CDRs for large-scale problems by considering realistic criteria such as demand, due date, setup time, process time, customer priority, and number of operations. The methodology proposed in this study can be tailored in terms of the criteria used for ranking and production parameters to be executable for any real-time instance.

Composite Multi-Criteria Decision Analysis for Optimization of Hybrid Renewable Energy Systems for Geopolitical Zones in Nigeria

This paper presents eight hybrid renewable energy (RE) systems that are derived from solar, wind and biomass, with energy storage, to meet the energy demands of an average household in the six geopolitical zones of Nigeria. The resource assessments show that the solar insolation, wind speed (at 30 m hub height) and biomass in the country range, respectively, from 4.38–6.00 kWh/m2/day, 3.74 to 11.04 m/s and 5.709–15.80 kg/household/day. The HOMER software was used to obtain optimal configurations of the eight hybrid energy systems along the six geopolitical zones’ RE resources. The eight optimal systems were further subjected to a multi-criteria decision making (MCDM) analysis, which considers technical, economic, environmental and socio-cultural criteria. The TOPSIS-AHP composite procedure was adopted for the MCDM analysis in order to have more realistic criteria weighting factors. In all the eight techno-economic optimal system configurations considered, the biomass generator-solar PV-battery energy system (GPBES) was the best system for all the geopolitical zones. The best system has the potential of capturing carbon from the atmosphere, an attribute that is desirous for climate change mitigation. The cost of energy (COE) was seen to be within the range of 0.151–0.156 US$/kWh, which is competitive with the existing electricity cost from the national grid, average 0.131 US$/kWh. It is shown that the Federal Government of Nigeria favorable energy policy towards the adoption of biomass-to-electricity systems would make the proposed system very affordable to the rural households.

An innovative approach to entrepreneurship in higher and secondary education: cultural routes and economy of experience - a case study

The aim of the present study is to present how social entrepreneurship can find its place in higher and secondary education by involving students, through experiential learning, in the creative development of solutions for sustainable development of an area with rich cultural heritage. To this end, the present study followed the qualitative research method and constitutes a case-study of the town of Orchomenus in Boeotia, Greece. This case-study is based on field-research at the important historical monuments of the area organised by the DIAZOMA Association and the Teacher Education Program of Athens University of Economics and Business. Proposals made by groups of the student-teachers were formed through the research method and aimed at exploiting the rich heritage of the area in favour of its financial and cultural development, and showed that students' ideas were diverse, following objective and realistic criteria that responded to the needs and prospects of Orchomenus town. The study is the first of its kind in Greece and abroad, as it introduces for the first time the way students can learn the notions of social entrepreneurship and cultural sustainability through field-research and the project method.

An innovative approach to entrepreneurship in higher and secondary education: cultural routes and economy of experience - a case study

The aim of the present study is to present how social entrepreneurship can find its place in higher and secondary education by involving students, through experiential learning, in the creative development of solutions for sustainable development of an area with rich cultural heritage. To this end, the present study followed the qualitative research method and constitutes a case-study of the town of Orchomenus in Boeotia, Greece. This case-study is based on field-research at the important historical monuments of the area organised by the DIAZOMA Association and the Teacher Education Program of Athens University of Economics and Business. Proposals made by groups of the student-teachers were formed through the research method and aimed at exploiting the rich heritage of the area in favour of its financial and cultural development, and showed that students' ideas were diverse, following objective and realistic criteria that responded to the needs and prospects of Orchomenus town. The study is the first of its kind in Greece and abroad, as it introduces for the first time the way students can learn the notions of social entrepreneurship and cultural sustainability through field-research and the project method.

A hybrid multi-criteria decision-making model for optimal coal blending

Purpose The purpose of this paper is thus to develop a hybrid decision-making model for optimal coal blending strategy. Coal is one of the major resources contributing to generation of electricity and anthropogenic carbon-dioxide emission. Being formed from dead plant matter, it undergoes a series of morphological changes from peat to lignite, and finally to anthracite. Because of non-uniform distribution of coal over the whole earth and continuous variation in its compositions, coals mined from different parts of the world have widely varying properties. Hence, it requires an ideal blending strategy such that the coking coal having the optimal combination of all of its properties can be used for maximum benefit to the steel making process. Design/methodology/approach In this paper, a multi-criteria decision-making approach is proposed while integrating preference ranking organization method for enrichment of evaluations (PROMETHEE II and V) and geometrical analysis for interactive aid (GAIA) method to aid in formulating an optimal coal blending strategy. The optimal decision is arrived at while taking into account some practical implications associated with blending of coal, such as coal price from different reserves. Findings Different grades of coal are ranked from the best to the worst to find out the composition of constituent coals in the final blending process. Coals from the mines of two different geographical regions are considered here so as to prove the applicability of the proposed model. Adoption of this hybrid decision-making model would subsequently improve the performance of coal after blending and help in addressing some sustainability issues, like less pollution. Originality/value As this model takes into account the purchase price of coals from different reserves, it is always expected to provide more realistic solutions. Thus, it would be beneficial to deploy this decision-making model to different blending optimization problems in other spheres of a manufacturing industry. This model can further accommodate some more realistic criteria, such as availability of coal in different reserves as a topic of future research work.

An analytical model to estimate AVS/RS energy consumption

Automation systems to support warehouse activities are a topic largely debated. Critical decisions on the technology to be adopted and the basic system attributes must be taken in the design phase; to support designers, several methodologies have been defined to evaluate performance indicators such as throughput, cycle time and equipment utilization. Conversely, smaller attention has been paid so far in the estimation of the energy necessary to perform the scheduled activities. Nonetheless, this topic is gaining popularity as the impact of renewable energy sources is increasing and the adoption of complex energy grids is gaining popularity. This paper is aimed at proposing an analytical model to evaluate the energy consumption of Autonomous Vehicle Storage and Retrieval Systems (AVS/RS), which exhibit higher flexibility and lower energy consumption compared to the traditional AS/RS. The proposed model is able to estimate the average energy consumption by accounting for realistic criteria adopted to store and retrieve unit loads. The proposed approach is validated by comparing the analytical estimation to the output of a simulation model.

Impact of cyber-invasive species on a large ecological network

As impacts of introduced species cascade through trophic levels, they can cause indirect and counter-intuitive effects. To investigate the impact of invasive species at the network scale, we use a generalized food web model, capable of propagating changes through networks with a series of ecologically realistic criteria. Using data from a small British offshore island, we quantify the impacts of four virtual invasive species (an insectivore, a herbivore, a carnivore and an omnivore whose diet is based on a rat) and explore which clusters of species react in similar ways. We find that the predictions for the impacts of invasive species are ecologically plausible, even in large networks. Species in the same taxonomic group are similarly impacted by a virtual invasive species. However, interesting differences within a given taxonomic group can occur. The results suggest that some native species may be at risk from a wider range of invasives than previously believed. The implications of these results for ecologists and land managers are discussed.

Solving Solar-Wind Power Station Location Problem Using an Extended Weighted Aggregated Sum Product Assessment (WASPAS) Technique with Interval Neutrosophic Sets

As one of the promising renewable energy resources, solar-wind energy has increasingly become a regional engine in leading the economy and raising competitiveness. Selecting a solar-wind power station location can contribute to efficient utilization of resource and instruct long-term development of socio-economy. Since the selection procedure consists of several location alternatives and many influential criteria factors, the selection can be recognized as a multiple criteria decision-making (MCDM) problem. To better express multiple uncertainty information during the selection procedure, fuzzy set theory is introduced to manage that issue. Interval neutrosophic sets (INSs), which are characterized by truth-membership, indeterminacy-membership and falsity-membership functions in the interval numbers (INs) form, are feasible in modeling more uncertainty of reality. In this paper, a newly extended weighted aggregated sum product assessment (WASPAS) technique, which involves novel three procedures, is utilized to handle MCDM issues under INSs environment. Some modifications are conducted in the extended method comparing with the classical WASPAS method. The most obvious improvement of the extended method relies on that it can generate more realistic criteria weight information by an objective and subjective integrated criteria weight determination method. A case study concerning solar-wind power station location selection is implemented to demonstrate the applicability and rationality of the proposed method in practice. Its validity and feasibility are further verified by a sensitivity analysis and a comparative analysis. These analyses effectively reveal that the extended WASPAS technique can well match the reality and appropriately handle the solar-wind power station location selection problem.

Enhancing Utility by More Realistic Criteria.

Enhancing Utility by More Realistic Criteria.

Stabilization of topological insulator emerging from electron correlations on honeycomb lattice and its possible relevance in twisted bilayer graphene

Realization and design of topological insulators emerging from electron correlations, called topological Mott insulators (TMIs), is pursued by using mean-field approximations as well as multi-variable variational Monte Carlo (MVMC) methods for Dirac electrons on honeycomb lattices. The topological insulator phases predicted in the previous studies by the mean-field approximation for an extended Hubbard model on the honeycomb lattice turn out to disappear, when we consider the possibility of a long-period charge-density-wave (CDW) order taking over the TMI phase. Nevertheless, we further show that the TMI phase is still stabilized when we are able to tune the Fermi velocity of the Dirac point of the electron band. Beyond the limitation of the mean-field calculation, we apply the newly developed MVMC to make accurate predictions after including the many-body and quantum fluctuations. By taking the extrapolation to the thermodynamic and weak external field limit, we present realistic criteria for the emergence of the topological insulator caused by the electron correlations. By suppressing the Fermi velocity to a tenth of that of the original honeycomb lattice, the topological insulator emerges in an extended region as a spontaneous symmetry breaking surviving competitions with other orders. We discuss experimental ways to realize it in a bilayer graphenesystem.

Constrained variant detection with SPaRC: Sparsity, parental relatedness, and coverage.

Structural variants (SVs) are rearrangements of DNA sequences such as inversions, deletions, insertions and translocations. The common method for detecting SVs has been to sequence data from a test genome and map it to a reference genome. More recently, DNA sequencing studies may consist of hundreds, or even thousands of individuals, some of which may be related. In order to improve our ability to identify SVs, we boost the true SV signals by simultaneously analyzing parent and child genomes. Our algorithmic formulation - SPaRC - employs realistic criteria such as sparsity of SVs, relatedness between individuals and variable sequencing coverage throughout the genome.

MOISTURE DAMAGE EVALUATION USING ENERGY BASED RESPONSES

Monotonic Indirect Tensile tests were performed on asphalt concrete mixtures made of two different types of aggregates. Since the environmental condition is a determining factor in propagation of moisture damage, the effects of temperature and aging were also observed. Three levels of temperature including 4.4 °C, 21.1 °C and 37.8 °C were used in testing. In order to consider the effect of aging, part of the samples were aged according to AASHTO R 30-02 (2010). The parameters of fracture energy, elastic energy and dissipated creep strain energy were obtained for dry and moisture conditioned samples. The sensitivity of the responses to testing parameters was investigated using analysis of variance methods and visual inspections. According to the results, common energy responses cannot be used as realistic criteria to evaluate asphalt mixtures’ moisture damage. To overcome the inadequacy of common energy based responses, modi­fied energy responses were defined using conventional energy based responses normalized by specimens’ failure strain. The analysis of variance showed that the modified energy responses can effectively evaluate the mixtures’ moisture and temperature susceptibility.

Findings Identifying How Administrative Leaders Might Recruit, Select, Train, Motivate, and Support Online Faculty

This study is a phenomenological study exploring faculty experiences teaching online coursework in master's programs in education. The study sought to understand and categorize learning factors that might produce stress and job burnout in the online instructional environment. In addition, the demands, expectations, and associated stress-producing factors in the online instructional environment were examined to distinguish best practices for online faculty. Moreover, attributes required by faculty best suited for the expectations and demands in distance learning were classified. Online faculty perspectives with teaching experience in the modality for three or more years generated the study's findings and insights. Stakeholders such as administrators, faculty trainers, faculty mentors, and faculty interested in employment in distance learning may find these insights useful to identify realistic criteria to base future decisions about teaching online, employment practices, hiring standards, and training opportunities. Insights about best practices, standards, and procedures have been articulated to assist in the development of administrative decisions, initial training programs, faculty mentor supports, and on-going faculty training.

Solvent evaluation for desulfurization and denitrification of gas oil using performance and industrial usability indices

A new strategy for screening of solvents for sulfur, nitrogen, and aromatic compounds removal from gas oil is presented. This ranking is based on comparative assessment of solvents’ capacity, selectivity, performance, and newly defined industrial usability indices. Twenty eight solvents comprising of six most widely used industrially proven conventional solvents and 22 imidazolium‐based ionic liquids solvents were selected to illustrate the strategy. The solvents were ranked for removal of sulfur compounds namely benzothiophene, dibenzothiophene and their alkylated derivatives, and nitrogenous compounds namely quinoline, indole and carbazole from gas oil. Performance index (PI) which combines the effect of both capacity and selectivity seems to be better index than individual capacity and selectivity indices to rank the solvents. Industrial usability index (SIUI) of solvents which includes PI and process complexity factor for solvent recovery section seems more practical and realistic criteria for solvent assessment. © 2015 American Institute of Chemical Engineers AIChE J, 61: 2257–2267, 2015