Miracle-dz/UniFAR-FTUs huggingface dataset:
Tools for Sustainable Fashion Design: An Analysis of Their Fitness for Purpose

Understanding the complexity of sustainable fashion issues can be overwhelming and a barrier for fashion designers. A number of tools for sustainable fashion design have been developed to aid designers in the integration of sustainability into their design practices. We analyze these to determine their fitness for purpose. Among them, three categories (archetypes) of tools are identified: Universal, Participatory, and Assessment. We propose an innovation framework and a five-dimensional model of sustainability specific to fashion to facilitate the analysis of the tools. Using the archetype categorization may facilitate designers in identifying the most appropriate type of tool for a specific circumstance, depending on context and need.
A Distributed Control Algorithm for Small Swarms in Cordon and Patrol

A Distributed Control Algorithm for Small Swarms in Cordon and Patrol C. Kristopher Alder Department of Computer Science, BYU Master of Science Distributed teams of air and ground robots have the potential to be very useful in a variety of application domains, and much work is being done to design distributed algorithms that produce useful behaviors. This thesis presents a set of distributed algorithms that operate under minimal human input for patrol and cordon tasks. The algorithms allow the team to surround and travel between objects of interest. Empirical analyses indicate that the surrounding behaviors are robust to variations on the shape of the object of interest, communication loss, and robot failures.
UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ PROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA ELÉTRICA E INFORMÁTICA INDUSTRIAL

CARVALHO DINIZ JUNIOR, Paulo. TELEMATICS SERVICES IN A PUBLIC TRANSPORTATION NETWORK BASED ON CONNECTED VEHICLES AND OPEN DATA. 114 f. Dissertação – Programa de Pós-graduação em Engenharia Elétrica e Informática Industrial, Universidade Tecnológica Federal do Paraná. Curitiba, 2017. Smart city is a very trendy concept today. It defines a type of urban development capable of reducing environmental impacts, enhancing current models of access to natural resources, better transportation systems, waste management, residential climatization and, above all, energy management (production and distribution). The huge data volume produced by smart cities offers a great opportunity to analyze, understand and improve the way cities work and grow. This explosion in the amount of digital information has elevated the importance of learning from data to a higher level. This document aims at describing a methodology for acquiring and exploring data from one of the most important pillars of smart cities: the public transportation system. How to acquire, store and use such data in order to provide to all stakeholders telematics services with high added value is the problem that is sought to solve in this work. Five telematics services proof of concept are proposed: assessment of current network coverage followed by the proposal of some new bus lines; indirect evaluation of buses’ passengers occupation during the day; geofence with geographical boundaries according to itineraries; speed alert and maintenance reminder services. The results are very coherent and promising, opening up a wide range of possible future work to be explored.
Director–Liability–Reduction Laws and Conditional Conservatism

We study non-officer directors’ causal influence on the conditional conservatism of firms’ financial statements. We treat director liability reduction laws enacted by the U.S. states in different years since 1986 as exogenous shocks to non-officer directors’ litigation risk. We find a decrease in conditional conservatism after the law enactments, which varies predictably with cross-sectional variation in the demand for conditional conservatism from institutional owners and lenders. The results are robust to alternative conservatism measures and controls for endogenous self-selection of states of incorporation. Our results are consistent with non-officer directors monitoring and influencing the financial reporting process and have implications for corporate governance and corporate law reforms.
Source Use by Second Year Psychology Students in Online Distance Learning

Previously we used citation analysis on reference lists from beginning psychology students in online distance learning (ODL). Now we examined second year students’ source use. Sources increased across assignments. Most used were the textbook, instructor and library sources. The mark achieved increased with number of sources, instructor sources, and library sources. Instructor and library sources were frequently referenced by both sets of students, and source use related positively to mark. This research expands the literature by comparing beginning and more advanced students; by replicating results from other researchers; and by examining two assignments from ODL students.
Environmental determinism and archaeology. Understanding and evaluating determinism in research design

Abstract With the emergence of modern techniques of environmental analysis and widespread availability of accessible tools and quantitative data, the question of environmental determinism is once again on the agenda. This paper is theoretical in character, attempting, for the benefit of drawing up research designs, to understand and evaluate the character of environmental determinism. We reach three main conclusions: (1) in a typical pattern of research design, studies seek to detect simultaneous shifts in the environmental and archaeological records, variously positing the former to have influenced, triggered or caused the latter; (2) the question of determinism involves uncertainty about the justification for the above research design in particular in what comes to biologism and the concept of environmental thresholds on the one hand and the externality of the drivers of transformation in human groups and societies on the other; (3) adapting the concepts of the social production of vulnerability and the social basis of hazards from anthropology may help to clarify the available research design choices at hand.
Aplikasi Rekomendasi Tempat Makan Menggunakan Algoritma Slope One pada Platform Android

Food is one of the basic needs for human being. The needs of food will always increase unanimous with the number of people, so that many restaurants appear. Because of there are so many restaurants, it can arise a confusion when we want to choose a restaurant to eat. Therefore, an application which can give a restaurant recommendation will be built in this research. The recommendation given by the system is calculated using Slope One algorithm and the restaurants database is gathered from Google Places API. Slope One algorithm make the recommendation by summing the rating of a restaurants with the difference average to other restaurants. The application also had been tested to the user by using J.R. Lewis questionnaire with questions categories of application usefulness, information quality, and user interface quality. The results from the testing are user find the application useful to give the proper restaurant recommendation, the information quality is good, and the user interface quality is also good.
On the road to social mobility? affirmative action and major choice

Around the world, students from a disadvantaged background are underrepresented in prestigious and lucrative fields of study, such as medicine and STEM. We know little about whether universities can affect individuals’ major choice and promote increased social mobility. In this paper, we provide evidence that universities can change individuals’ choice of major. We use a natural experiment that expanded the set of majors to which lower SES applicants could be admitted. We find that this change in policy, which was implemented at a very selective university, increased the likelihood of lower SES students to apply for, and get accepted to more prestigious majors.
Reconstructing classroom facilities to enhance communication in language learning. Case study: Classroom F207, JAMK Main campus

As an emerging movement, due to the influence of business globalisation, there is rarely any job offers without requirements in knowledge of foreign languages nowadays. Hence, foreign language education get lots of attention in order to improve, especially in education institute. The author, through years of studying foreign language at JAMK, has noticed the curre t JAMK la guage educatio ’s situatio . With ajor i Facility Management programme background, she hoped to enhance language learning by renovating physical environment in classroom. Observation, qualitative and quantitative research method were used in research part. The writer hoped by using many research methods, various perspectives would be collected and applied. Participants were teachers and learners. After finishing survey and interview, combining with related academy studies, the writer established a blueprint of new classroom, with detailed description. For future development, the design may be adjusted for different usage, as well as an evaluation of learning efficiency after experiencing this new class room will be appreciated. All in all, the writer had great experience of researching and practicing in space management and interior design field. Theories resorted to the right way for continuing research, while using interior design software provided knowledge in practice. Keywords/tags (subjects) Foreign language learning, Cooperative learning, Physical environment, Communication
Financial and Business Cycles in Brazil

This paper explores the nexus between the financial cycle and business cycle in Brazil. Cycles are estimated using a variety of commonly-used statistical methods and with a small, semistructural model of the Brazilian economy. An advantage of using the model-based approach is that financial and business cycles can be jointly estimated, allowing information from all key economic relationships to be used in a consistent way. The results show that Brazil is now in the downturn phase of the financial cycle. Moreover, the results underscore the importance of macro-financial linkages and highlight risks to the recovery going forward.
Trust, Avatars, and Electronic Communications: Implications for E-Learning

As pervasive as the use of avatars is in online communications, there exists little research on the influence of avatars on user trust in computer mediated communication environments. From a pedagogical perspective, this gap in the literature should be addressed because many e-learning environments utilize computer mediated communications tools as first-order mechanisms to support distance learning student-teacher interaction. In this study, we measured two dimensions of trust in order to assess whether or not there exists an affect from the uses of avatars on individual perceptions in computer mediated communications. Data analysis suggests that the use of avatars associated with trustworthiness affects trust development and in the perception of trustworthiness. The findings of this study are particularly important given the increasing rate at which many traditional educational activities are migrating to online environments and subsequently rely upon computer mediated communications as a principle means of student-teacher interface.
Entrepreneurship, Innovation and Creativity: The Creative Process of Entrepreneurs and Innovators

The study examines the creative process of entrepreneurs and innovators. It considers how several types of thinking - analytical, analogical, imaginary, intuitive - are involved in creativity and the creative process. It further considers how learning and composite thinking – the integration of the different types of thinking - are incorporated in the creative process. The subsequent analysis covers a number of aspects of creativity and the creative process: 1) attributes, 2) traits, 3) skill, 4) stimulants, 5) process, 6) method and technique, 7) imagination, 8) intuition and the sub-conscious, 9) problem statement, 10) referencing past solutions, 11) the solution space, 12) teams, and 13) factors of success in the market. The prominent role of the intuition and the sub-conscious in creativity is clear. Both the left-brain and right-brain typically contribute to creativity. Perspective formation forms a key component of creativity. There is a semi-formal process to creativity. Both intuition and creativity itself can be developed. Given the array of factors that influence success in the market, it may be questioned whether creativity is essentially a prominent factor of entrepreneurship. Pure or raw creativity by itself is certainly not a sufficient factor of entrepreneurship but must first be combined with general business sense or acumen to guarantee innovation success.
Risk experience and smallholder farmers’ climate change adaptation decision

ABSTRACT Farm level adaptation can offset some of the negative impacts of climate change on agriculture. Thus, it is vital to understand the process of farmers’ adaptation decisions when informing policy interventions. It is hypothesized that farmers’ decisions to take actions against climate change are related to risk experience as well as a range of socio-economic variables. Although evidence indicates that socio-economic variables are relevant, the empirical evidence on the role of risk experience on adaptation decisions is limited. The present study assesses whether perceived risk experience in terms of agricultural production shocks and yield reduction influence farmers’ decisions to adapt. Data collected from smallholder farmers in Ethiopia is used for this purpose. The study applies a multivariate endogenous probit model and controls for potential endogeneity of perceived risk experiences to adaptation decision. The results indicate that farmers who perceive having experienced production shocks are more likely to decide to adapt. However, experiencing simply yield reduction is not associated with adaptation decision. Other socio-economic, institutional, and agro-ecological variables are also found to be associated with adaptation decisions. It is concluded that the role of risk experience on farmers’ decision to adapt is a function of the severity of the experienced risk.
Building Fast, CPU-Efficient Distributed Systems on Ultra-Low Latency, RDMA-Capable Networks

Modern datacenters utilize traditional Ethernet networks to connect hundreds or thousands of machines. Although inexpensive and ubiquitous, Ethernet imposes design constraints on datacenter-scale distributed storage systems that use traditional client-server architectures. Round-trip latency around 100μs means that minimizing per-operation round trips and maximizing data locality is vital to ensure low application latency. To maintain liveness, sufficient server CPU cores must be provisioned to satisfy peak load, or clients need to wait for additional server CPU resources to be spun up during load spikes. Recent technological trends indicate that future datacenters will embrace interconnects with ultralow latency, high bandwidth, and the ability to offload work from servers to clients. Interconnects like Infiniband found in traditional supercomputing clusters already provide these features, including < 3μs latency, 40− 80 Gbps throughput, and Remote Direct Memory Access (RDMA), which allows access to another machine’s memory without involving its CPU. Future datacenter-scale distributed storage systems will need to be designed specifically to exploit these features. This thesis explores what these features mean for large-scale in-memory distributed storage systems, and derives two key insights for building RDMA-aware distributed systems. First, relaxing locality between data and computation is now practical: data can be copied from servers to clients for computation. Second, selectively relaxing data-computation locality makes it possible to optimally balance load between server and client CPUs to maintain low application latency. This thesis presents two in-memory distributed storage systems built around these two insights, Pilaf and Cell, that demonstrate effective use of ultra-low-latency, RDMA-capable interconnects. Pilaf is a distributed in-memory key-value store that achieves high performance with low latency. Clients perform read operations, which commonly dominate key-value store workloads, directly from servers’ memory via RDMA. By contrast, write operations are serviced by the server to simplify synchronizing memory accesses. Pilaf balances high performance with modest system complexity, disentangling read latency from server CPU load without forcing clients to complete difficult distributed RDMA-based write operations. Client RDMA reads can still conflict with concurrent server CPU writes, a problem Pilaf solves using self-verifying data structures that can detect read-write races without client-server coordination. Pilaf achieves low latency and high throughput while consuming few CPU resources.
Automatic visual inspection using digital image processing

On a developpe une methode de comparaison de caracteristiques extraites qui est hautement fiable pour inspecter des formes de haute densite sur des planches de circuits imprimes. Ces methodes comparent deux images de formes et extraient les caracteristiques locales de ces images pour controler leur proximite
Stress Factors and Impacts Toward Wardens in Surabaya Prison

: Work stress becomes phenomenal issue nowadays since many studies prove that numerous workers are working under this condition. Warden can be regarded as one of stressful profession. The present study tries to elaborate factors and it impacts toward warden in Surabaya prison. Qualitative method using interview is used as method of the present study. The data obtained were analysed using interpretative phenomenological analysis to elaborate the structure, essence of experience for wardens concerning stress factors, its impacts. The present research concludes that lack of facilities, infrastructures, work pressures and low amount of reward or compensation are the main factors of work stress for the warden. The impacts of work stress among warden are burnout, decreasing job performance, absenteeism and tardiness.
Methods In Human Growth Research

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Housing abandonment in shrinking cities of East Asia: Case study in Incheon, South Korea

Despite growing signs of urban shrinkage in countries such as Korea, Japan and China, few studies have examined the generalisable pattern of urban shrinkage and its relationship to the characteristics of housing abandonment in the East Asian context. This study explores five major paths that may explain the emergence of vacant houses in declining inner-city areas, based on empirical observations in the city of Incheon, South Korea. The paths are: (1) strong government-led new built-up area development plans (pull factor for population movement); (2) delay and cancellation of indiscriminate redevelopment projects (push factor for population movement); (3) initial poor development and concentration of substandard houses; (4) aging of the elderly population; and (5) the outflow of infrastructure and services. These paths, also found in Japan or China, are expected to be combined in a local context, leading to more serious housing abandonment. This study suggests that it is important to take appropriate countermeasures based on the identification of the paths causing vacant houses.
Online Travel Agency Price Presentation: Examining the Influence of Price Dispersion on Travelers’ Hotel Preference

This research investigates the impact of different degrees of price dispersion on travelers’ hotel choice. More specifically, within an online travel agency (OTA) context, we examine the effect of wide (vs. narrow) price dispersion on hotel preference. In addition, we suggest two boundary conditions for this effect: salience of external regular price and perception of destination uncertainty. Across multiple studies, our results show that travelers prefer a hotel option featuring wide price dominance dispersion. Additionally, both the presence of an external regular price and the level of uncertainty associated with the hotel destination act as moderating influences. This work represents an emerging direction in the online price dispersion literature, namely, exploring the consequences of online price dispersion. In practice, by understanding the influence of price dispersion on consumer choice, OTAs can develop more effective pricing strategies in partnership with their hotel room suppliers.
Automated support for the elaboration and analysis of goal-use case integration models

i Acknowledgement . iii Declaration . iv List of Figures . x List of Tables . xiii List of Publications . xvi Introduction . 1 1.1 Goal and Use Case Integrated Modeling in Requirements Engineering . 1 1.2 Research Motivation . 3 1.3 Research Objectives . 6 1.4 Research Contributions . 7 1.5 Thesis Organization . 9 Background and Literature Review . 12 2.1 Requirements . 12 2.2 Requirements Engineering . 13 2.2.1 Requirements Engineering Process . 15 2.2.2 Requirement Modeling . 17 2.2.3 Goal-­‐‐oriented Requirements Engineering . 18 2.2.4 Use case-­‐‐driven Requirements Engineering . 19 2.2.5 Combining Goal and Use Case Modeling in Requirements Engineering . 21 2.2. 6 Limitations of Current Goal-­‐‐Use Case Integration Approaches . 24 2.3 Information Extraction in Requirements Engineering . 28 2.3.1 Early Aspects Extraction . 29 2.3.2 Automated Requirement Models Extraction . 30 2.3.2.1 Goal Extraction . 31 2.3.2.2 Product Line Variability Model Extraction . 31 2.3.2.3 Use Case Extraction . 32 2.3.2.4 UML Model Extraction . 34 2.3.3 Discussion . 36 2.4 Requirements Analysis . 37 2.4.1 The 3Cs Problems in Requirements . 38 2.4.1.1 Consistency . 38 vi 2.4.1.2 Completeness . 38 2.4.1.3 Correctness . 39 2.4.2 Automated Requirements Analysis Techniques . 40 2.4.2.1 Formal Methods . 40 2.4.2.2 Natural Language-­‐‐based Methods . 44 2.4.2.3 Ontology-­‐‐based Methods . 47 2.4. 3 Discussion . 48 2.5 Summary of Research Gaps . 49 Approach . 52 3.1 Motivating Scenario . 52 3.1.1 Determining what should be modeled . 53 3.1.2 Goal-­‐‐Use Case Integrated Models Extraction . 54 3.1.3 Goal-­‐‐Use Case Integrated Model Analysis . 58 3.2 Problem Analysis . 61 3.3 Our Approach . 65 3.4 The GUI-­‐‐F Process . 69 3.4.1 Modeling Process . 69 3.4.2 Analysis Process . 72 3.5 Evaluation Approach . 73 3.5. 1 Conducted Evaluations . 74 3.5. 2 Case Studies . 76 3.6 Chapter Summary . 80 Goal and Use Case Integration Meta-­‐‐model . 81 4.1 Goal and Use Case Integration Meta-­‐‐model . 82 4.1.1 Artifact Layer . 83 4.1.1.1 Artifacts . 83 4.1.1.2 Relationships . 87 4.1.1.3 Non-­‐‐functional Concern Categories . 93 4.1.1.4 Goal and Use Case Integration Modeling with GUIMeta . 94 4.1.2 Specification Layer . 96 4.1.2.1 Functional Grammar-­‐‐based Specification Parameterization . 96 4.1.2.2 Specification Rules . 104 4.2 Evaluation . 107 4.2.1 Evaluation Setup . 107 4.2.2 Evaluation Results . 109 4.2.3 Threats to Validity .