Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors Affecting Student Performance And Satisfaction In Distance Learning Courses

During the past few years, the New Jersey Institute of Technology (NJIT) has initiated several projects to determine best practices in distance learning education and to apply them to courses in the Newark College of Engineering. The engineering college has lagged behind other colleges within the university in developing and implementing distance learning courses, and concerns about the quality of distance learning courses are one of the main reasons for this. The Office of Institutional Research and Planning at NJIT has undertaken a study of distance learning courses offered during the 2003-2004 academic year. The study examines a total of 150 courses, 3,491 students and 7,701 course enrollments; approximately 1/5 of the enrollments are in distance learning courses and the remaining students enrolled in traditional face-to-face courses and served as a control group. The study examines a wide variety of parameters, including overall course performance, student satisfaction with the course and the instructor, delivery format for distance learning courses (multimedia, text, multimedia + text), instructor rank, instructor training for distance learning instruction, distance learning platform (WebCT® and WebBoard®), and ease of use of technology. This paper presents the results of this study and how they can be applied to produce improved distance learning courses in the engineering college, in all colleges within NJIT, and at other universities. Among its most significant results, the study highlights the need for instructors to receive training in teaching, learning, and technology; the preference of students for courses that use multiple delivery formats; and the greater student satisfaction at NJIT for courses that use WebCT as their asynchronous learning network platform.
Generating Evidence to Streamline the Clinical Pathway in Autism Spectrum Disorder Using Simulation Models: Cost-effectiveness Comparisons of Screening and Genetic Testing Strategies

The clinical pathway to diagnosis in autism spectrum disorder (ASD) is complex. The objective of this thesis was to estimate the health and monetary impact of changes in the provision of select ASD screening and diagnostic health services. First, a meta-analysis estimated that the Modified Checklist for Autism in Toddlers, a commonly used ASD screening tool, performed at a low-to-moderate accuracy among children with developmental delay (pooled sensitivity: 0.83, 95% credible interval [CrI] 0.75, 0.90; specificity: 0.51, 95% CrI: 0.41, 0.61; positive predictive values [PPV] in high-risk children: 0.55, 95% CrI: 0.45, 0.66; PPV in low-risk children: 0.07, 95% CrI: <0.01, 0.16) and its performance changed with patient characteristics. The second study evaluated the cost-effectiveness of universal or high-risk screening compared to standard care, surveillance monitoring, in ASD using discrete event simulation. Results demonstrated that universal screening would greatly burden the healthcare system by heightening demand for diagnostic services and increasing healthcare expenditure. High-risk screening, on the other
The Design of Highly Loaded Axial Compressors

Increasing compressor pressure ratios (thereby gaining a benefit in cycle efficiency), or reducing the number of stages (to reduce weight, cost, etc.), will require an increase in pressure rise per stage. One method of increasing the pressure rise per stage is by increasing the stage-loading coefficient and it is this topic which forms the focus of the present paper. In the past, a great deal of effort has been expended in trying to design highly loaded blade rows. Most of this work has focused on optimizing a particular design rather than looking at the fundamental problems associated with high loading. This paper looks at the flow physics behind the problem, makes proposals for a new design strategy and explains sources of additional loss specific to highly loaded designs. Detailed experimental measurements of three highly loaded stages (Δh0 /U2 ≈ 0.65) have been used to validate a CFD code. The calibrated CFD has then been used to show that as the stage loading is increased the flow in the stator passages breaks down first. This happens via a large corner separation which significantly impairs the stage efficiency. The stator can be relieved by increasing stage reaction, thus shifting the burden to the rotor. Fortunately, the CFD calculations show that the rotor is generally more tolerant of high loading than the stator. Thus, when stage loading is increased, it is necessary to increase the reaction to achieve the optimum efficiency. However, the design exercise using the calibrated CFD also shows that the stage efficiency is inevitably reduced as the stage loading is increased (in agreement with the experimental results). In the second part of the paper, the role profile loss plays in the reduction in efficiency at high stage loading is considered. A simple generic velocity distribution is developed from first principles to demonstrate the hitherto neglected importance of the pressure surface losses in highly loaded compressors.Copyright © 2009 by ASME
COMPETITIVENESS OF SOYBEAN BUSINESS FARMING ANALYSIS IN GROBOGAN REGENCY CENTRAL JAVA PROVINCE

Soybean is one of the strategic commodities. To fulfill the increasing of domestic demand, it must be supplied from imports because domestic production is unsufficient. In addition, lower price of imported soybean has effected in competition of domestic farmers to get profit. Demand of soybean in the international and domestic market has always increased. Indonesia has imported soybeans to fill domestic soybean demand. This condition will have an impact on the decline in farm income due to soybean import. The aims of this study were to analyze the level of private profitability and competitiveness of soybean farming in Grobogan Regency.This research used survey research method with number of samples taken through simple random sampling of 100 soybean farmers. Data were analyzed by Policy Analysis Matrix (PAM). The results showed that private profitability of soybean farming in Grobogan Regency was Rp1.690. 393,22 per MT. Two indicators to measure the competitiveness were Private Cost Ratio (PCR) and Domestic Resources Cost Ratio (DRCR). PCR value was 0,75 which showed that soybean farming in Grobogan Regency was more competitive and Domestic Resources Cost Ratio (DRCR) showed 0,88. It showed that soybean farming had a comparative advantage.
Collective Residential Spaces in Sustainability Development: Turkish Housing Units within Co-Living Understanding

Housing models that target rather typical family structures are increasingly failing to meet the needs of the new social changes regarding the rapid urbanization due to the mass-migration to cities, the lack of affordable housing, and the adoption of the sharing economy practices. As an architectural counterpart of the social dimension of sustainable development, co-living is introduced as a connected way of living, enabling sustainable living practices through efficient use of resources and space while sharing consumption. With respect to this, adapted collective residential units (namely informal co-living environments) come into use in places where affording a house becomes a challenging aspect and the conventional residential units do not reflect the transforming social demographics and economy. The reflection of the requirements of changing social and economic structures on urban settings can be seen in Turkish houses as well. This research, accordingly, focuses on co-living environments in Ankara, Turkey that were transformed from typical single-family residential units by its residents. Through investigating these co-living spaces, it is aimed to contribute to the current understanding of co-living practices, explore the spatial, economic and social underpinnings of these living models, and their relevance to the sustainable development while presenting initial findings regarding spatial use that can be of guidance for future co-living design processes.
"Creating a Concept Importance Measure for Domain Knowledge in the Context of Learning"

ing the concept, each person in the network possesses a different set of knowledge that could be broken down into a set of related sub-knowledge areas. In this regard graphs are suitable vessels to model the knowledge of people and how these knowledge areas are related to each other. In other words, graphs can well represent experts’ knowledge that is crucial in knowledge intense occupations to efficiently support applications of learning, training and active knowledge transfer. The overlay model, addressed in Section 4.3, is an example for a graph of knowledge, modelling knowledge on a general level, where the knowledge of a virtual expert on a domain is modelled and on a personal level, where the knowledge of a learner is projected on and described by the expert’s modelled structure. Similar to the spatial relationships between individuals, the relation of knowledge can have a quality. Specially – to enable a sustainable modelling and management of expert’s knowledge – requirements, concerning the level of complexity and meta-structure that define the possible compositions of the different knowledge elements, have to be defined. A prominent example from the field of biology are here taxonomies of animals (Huxley and others, 1940), modelling a hierarchy of animals to express a classification of animals into different species and sub-species, where the quality or semantic of the relations in the graph is “specialization”. A more complex graph-based methodology to address concepts and their relations with different semantics, expressing individual concepts and qualities of connections as elements of the graph, are ontologies (Hebeler et al., 2009). It is no coincident that Google named its semantical enhanced, graph-based searchengine knowledge graph to enhance search queries and the query result visualization, when introducing it in 2012 (Singhal, 2012). Visually the knowledge graph prepares additional contextual information to a specific search result, using texts images and links to further explore a search result. This information can be used by users and machines to differentiate, detail and resolve – comparable to the approach of (Hoffart et al., 2014) –
International Conference on Business Sustainability and Innovation CORPORATE SOCIAL RESPONSIBILITY AS AN ENTRENCHMENT STRATEGY: MALAYSIA EVIDENCE

Fundamentally, companies utilize sustainability as a device to give the impression of legitimacy and satisfy their stakeholders’ demand in relation to the socially responsible activities. However, this conventional employment of sustainability has been compromised by companies in several countries. This study analyse the association between earnings management and corporate social responsibility (CSR). With the basis of stakeholder-agency theory, CSR seems to be revolutionized as a hedging mechanism by the managers that practice earnings management. This study aims to demonstrate the misuse of CSR as an entrenchment strategy to mask earnings management practices. Using the Modified Jones Model discretionary accruals to measure earnings management and content analysis by CSR disclosure index to determine the level of CSR quality disclosure on a sample of 265 Malaysian public listed companies, the findings report no significant statistical association between earnings management and CSR which suggests that Malaysian managers do not exploit socially responsible activities for their own interest particularly to entrench themselves. Additionally, it indicates that CSR has been exercised by Malaysian companies truthfully and accountably for their shareholders and stakeholders. Moreover, the moderator of corporate reputation influences the respective relationship. This study provides several implications. Theoretically, research on the notion of CSR serving as the entrenchment mechanism seems limited in developing countries. Practically, this study suggests that investors and practitioners exercise caution when assessing the CSR practices since it can be carried out to mislead the stakeholders.
Economies of Scope and Optimal Due Diligence in Corporate Acquisitions

This study develops a theory of due diligence in corporate acquisitions. Using a formal model, the study situates due diligence in the context of economies of scope, which are often sought by acquiring organizations that have incomplete information about such economies. Relatedness, the key determinant of economies of scope, and ambiguity, the key determinant of incomplete information, are used to derive the optimal due diligence effort and the returns to an acquiring organization that result from that effort. The derived predictions qualify both the general appeal to extensive due diligence and the general recognition of the costliness of due diligence. These predictions can be tested in future empirical research on corporate acquisitions and may guide corporate acquirers on the optimal allocation of their due diligence efforts in the mergers and acquisitions market.
Learning Design: Conceptualizing a Framework for Teaching and Learning Online

The new field of Learning Design has the potential to revolutionise not only technology in education, but the whole field of teaching and learning through the application of design thinking to education. Learning Design looks inside the "black box" of pedagogy to understand what teachers and learners do together, and how the best teaching ideas can be shared on a global scale. Learning Design supports all pedagogical approaches, content areas, and fields of education. The book opens with a new synthesis of the field of Learning Design and its place in educational theory and practice, and goes on to explore the implications of Learning Design for many areas of educationboth practical and theoreticalin a series of chapters by Larnaca Declaration authors and other international experts.
The effects of emotional awareness training on teachers' ability to manage the emotions of preschool children: An experimental study

This article describes the process and results of a Randomized Controlled Trial (RCT) on teachers’ ability to manage the emotions of preschool children during a constrained play activity. Thirty early childhood education teachers participated in the study. Half of the participants were taught strategies to enhance their own emotional competence. The control group was provided with standard information on child development. The experimental group was trained in active strategies on emotion coaching, emotional schemas, reflective practice focused on emotions, and mindfulness training. The teachers’ outcomes were assessed in situ during a pretend play session with small groups of preschoolers. The dependent variables were observed occurrences of different components of emotional competence in teachers. Significant statistical differences were found between the two groups across the three different emotional competence skills (regulation, expression, and knowledge) demonstrated by the early childhood teachers during a game situation. This experimental study highlights the processes through which teachers support the emotional competence of young children, and the importance of the role of early childhood teachers' own emotional competence on the socialisation of children’s emotions. Most importantly, it provides evidence, based on the influence of emotion-focused teacher-training and reflective practices, that teachers’ emotional skills should be supported such that they can optimally meet the emotional needs of young children.
Router-Level Internet Topology Evolution Model based on Multi-Subnet Composited Complex Network Model

A lot of topology measurement researches on router level Internet show that router-level Internet topology is apparently different from AS-level Internet topology. In this paper, we first reveal structures of the router-level Internet topology using CERNET ISP network, based on the basic characteristics of topology from empirical research of router-level Internet topology, using Multi-subnet composited complex network model, through loading website subnet to router subnet, a router-level Internet topology evolution model is proposed. In our model, from the point of view of network performance optimization, the actual impact factors, such as minimizing of the mileage of links, physical capability of router equipment and network traffic transmission demands between nodes are considered into the model. With appropriate parameters, important metrics, such as cluster coefficient and average path length of network generated by our model, exhibit the similar value of the actual router-level Internet topology while keeping the degree distribution of generated topology to follow power-law.
Reliability and Aging Analysis on SRAMs Within Microprocessor Systems

The majority of transistors in a modern microprocessor are used to implement static random access memories (SRAM). Therefore, it is important to analyze the reliability of SRAM blocks. During the SRAM design, it is important to build in design margins to achieve an adequate lifetime. The two main wearout mechanisms that increase a transistor’s threshold voltage are bias temperature instability (BTI) and hot carrier injections (HCI). BTI and HCI can degrade transistors’ driving strength and further weaken circuit performance. In a microprocessor, first-level (L1) caches are frequently accessed, which make it especially vulnerable to BTI and HCI. In this chapter, the cache lifetimes due to BTI and HCI are studied for different cache configurations, namely, cache size, associativity, cache line size, and replacement algorithm. To give a case study, the failure probability (reliability) and the hit rate (performance) of the L1 cache in a LEON3 microprocessor are analyzed, while the microprocessor is running a set of benchmarks. Essential insights can be provided from our results to give better performance-reliability tradeoffs for cache designers.
The influence of organizational factors on job satisfaction in the commercial banking sector in Malaysia

The purpose of this study was to investigate the factors affecting the job satisfaction of employees in the commercial banking sector in Malaysia. Twenty-four banks in the Klang Valley area, Peninsular Malaysia were targeted as survey respondents. Data were collected using a structured questionnaire based on organizational factors (pay, promotion, supervision, fringe benefits, contingent rewards, working conditions, co-workers, operating conditions and communication), individual factors (gender and age) and job satisfaction of employees in the commercial banking sector in Malaysia. The study showed that organizational factors significantly influenced employee job satisfaction in the commercial banking sector. Alternatively, age and gender did not significantly influence employee job satisfaction in the commercial banking sector in Malaysia. The research provided a better understanding of the factors affecting job satisfaction in the commercial banking sector. Younger generations bring with them new expectations and retention concerns. Employers need to understand the needs and wants of their employees and develop strategies for recruiting and retaining top talents. The results can help CEOs to identify strategies to increase employee job satisfaction by increasing their motivation for the job performed thus leading to higher productivity and better employee-retention strategies. The research findings also contribute to a better understanding of all related parties on the application of theories and model in relation to financial compensation aspects and organizational commitment.
RAPID: A RAN-aware performance enhancing proxy for high throughput low delay flows in MEC-enabled cellular networks

5G enhanced Mobile broadband (eMBB) aims to provide users with a peak data rate of 20 Gbps in the Radio Access Network (RAN). However, since most Congestion Control Algorithms (CCAs) rely on startupandprobephasestodiscoverthebottleneckbandwidth,theycannotquicklyutilizetheavailableRANbandwidthandadapttofastcapacitychangeswithoutintroducinglargedelayincrease,especially whenmultipleflowsaresharingthesameRadioLinkControl(RLC)buffer.Totacklethisissue,weproposeRAPID,aRAN-awareproxy-basedflowcontrolmechanismthatpreventsCCAsfrom overshootingmorethantheavailableRANcapacitywhileallowingnearoptimallinkutilization.Basedonanalysisofup-to-dateradioinformationusingMulti-accessEdgeComputing(MEC)servicesand packetarrivalrates,RAPIDisabletodifferentiateslowinteractiveflowsfromfastdownloadflows and allocate the available bandwidth accordingly. Our simulation and experimentation results with concurrent Cubic and BBR flows show that RAPID can reduce delay increase by a factor of 10 to 50 in both Line-of-Sight (LOS) and Non-LOS (NLOS) conditions while preserving high throughput in both 4G and 5G environments.
Multilingual discriminative lexicalized parsing

We provide a generalization of discriminative lexicalized shift reduce parsing techniques for phrase structure grammar to a wide range of morphologically rich languages. The model is efficient and outperforms recent strong baselines on almost all languages considered. It takes advantage of a dependency based modelling of morphology and a shallow modelling of constituency boundaries.
Management of Sumatran fleabane after maize harvest in the fallow period shorter than 60 days

Sumatran fleabane is an important weed in Brazilian crop production systems due to glyphosate resistance and broad adaptation to no-till environments, mainly in the crop succession with soybean sowed in first-season (September to February) followed by maize in second-season (February to June). The fallow period between maize harvest and the next soybean sowing allows Sumatran fleabane to emerge and grow. On the other side, fallow is a suitable moment for Sumatran fleabane control because plants are more susceptible to herbicide in initial stages of growth. In this study, the aim was to evaluate the effectiveness on combined burndown + residual herbicide treatments to control Sumatran fleabane during fallow, after maize harvest. Two experiments were carried out in Campina da Lagoa (PR) and Floresta (PR) and treatments consisted of combinations of herbicides to provide control of emerged plants of Sumatran fleabane (glyphosate + 2,4-D, MSMA and glufosinate), applied isolated or in tank mixes with residual herbicides (metsulfuron, chlorimuron, diclosulam, imazethapyr, imazaquin, flumioxazin, metribuzin, amicarbazone and isoxaflutole) which were expected to prevent the emergence and growth of new weed fluxes. At the time of herbicides application, Sumatran fleabane plants were no taller than 12 cm. Assessments on both efficacy and residual control were performed until soybean crop sowing (45 days after treatment). Glyphosate + 2,4-D mixture was efficient for burndown of Sumatran fleabane. For fallow periods of 45 days, all glyphosate + 2,4-D mixtures with residual herbicides were efficient for Sumatran fleabane control, providing less than 10 plants m and a maximum plant height of 16 cm at soybean sowing date.