Academic literature on the topic 'Degree Discipline: Performance'

Contemporary activity of a higher education teacher in the field of physical education and sports is characterized by a variety and complex content. To achieve the desired result in the physical education of students, such content must be subject to a clear logic of functioning and control. Any reasonable and rationally organized activity in the field of physical education and sports can be divided into such components as: planning, implementation, control and accounting. The unity of the functioning of these components will allow you to most effectively build and manage the process of physical education in the organization of higher education. The problem of control and accounting of physical education of students is one of the most urgent pedagogical problems, since the success of the entire process of physical education in the organization of the higher education depends on the control and accounting. To improve the physical education of students in the organization of higher education, an in-depth development of the control and accounting fund for the content and methods is necessary. We reveal the content and methods of control and accounting of student performance (bachelor’s degree students) in elective discipline “Volleyball”.

Companies in achieving organizational goals requires human resources with high performance. Sophistication teknoloogi owned by the company does not mean anything if they are not supported by adequate human resources. This study aimed to determine the effect of labor discipline on the performance of employees at PT WOM Finance Kebumen. The method used is descriptive quantitative method. The analytical method used is the Spearman rank correlation and coefficient of determination. The results showed that employee discipline and performance of employees at PT WOM Finance Kebumen are in either category in number 80,63% and 80%. The relationship between the variables of labor discipline with the performance of employees amounted to 0,833 at the 5% significance level that the degree is very strong relationship in a positive direction. The coefficient of determination showed 0.682 which means that the variable is explained by the variable performance of employees working discipline by 68.2% and the remaining 21.8% is explained by other factors beyond the study.

This study aims to determine the correlation between work motivation and work discipline on teacher performance. The formulation of the problems in this study: (1) is there a correlation between work motivation and teacher performance?, (2) is there a correlation between work discipline and teacher performance?, (3) is there a correlation between work motivation and work discipline on teacher performance. This type of research is descriptive quantitative. The sample in this study amounted to 74 students. Data collection techniques in the form of tests and documentation. The instrument used was a test sheet. The theories used are teaching and learning strategy theory and learning evaluation theory. The results of this study. Based on the respondents' perceptions of work motivation, a score range of 116-150 was obtained, with a total score of 20409 and an average score of 130.79 which in this case was categorized as quite good. Respondents' perceptions about the effect of work discipline on teacher performance obtained a score range of 107 - 151, with a total score of 20191.00 and an average score of 134.43 which is in the good category. The degree of influence of the work motivation variable (X1) and the work discipline variable (X2) on teacher performance (Y) was 0.73 or 73%. This shows that the teacher's performance (Y) is jointly (simultaneously) influenced by the work motivation variable (X1) and the work discipline variable (X2) by 73% while the remaining 27% is influenced by other factors outside the equation model.

The students’ discipline plays a significant role in the improvement of academic performance. However, any lack of students’ discipline, significantly affect negatively the level of students’ discipline. The purpose of this study therefore was to establish the relationship between students’ discipline and academic performance in secondary schools in Rwanda for advanced level studying-French-English Kinyarwanda in Rusizi district. The study adopted correlation research design while structured questionnaires, interview guide and desk review were used as data collection instruments. The target population was 283 respondents. The sample size was 166 obtained by the use of Yamane formula. The sample was obtained by the use of simple random and stratified sampling techniques. Questionnaire, interview guide and desk review were used to collect the data. The findings revealed that there is a statistical significant high degree of positive relationship between students’ discipline and academic performance. It was revealed that regular class attendance, respect of school rules and regulation and being given punishment among students create a positive change in students’ academic performance. The study recommended that the government should design effective policies and discipline guidelines. The head teachers should ensure the suitability of a set of rules and regulations in the least performing schools and there is a need to ensure students punishment management and adequate administration of school rules and regulations. Students should respect and comply with school rules and regulations through punctuality, demand of permission, constant attendance, doing homework at time, respect to teaching staff and school management personnel. Keywords: Students’ performance, students’ discipline, secondary schools, Rwanda

In 2015 the threshold learning outcomes (TLOs) for Australian bachelor degree graduates in the discipline of Environment and Sustainability were released. This study road tested the Environment and Sustainability TLOs in the workplace via environmental science students’ internship placement. The study, which incorporated surveys of host-supervisors, students and teaching staff, was conducted over four years. The surveys enabled comparisons between the performance expected of a new graduate by employers with the level of performance students achieved while on placement. Overall, hosts expect new graduates to be ‘Capable’ performers (2.8 on a 5 point scale). Host-supervisors also rated the overall performance of interns as ‘Capable’ (3.4/5). Expected performance of a new graduate for individual TLOs was compared with the performance of interns. Students exceeded the expectations of host-supervisors for all TLOs. In contrast, teaching staff rated the performance of students lower than students themselves and host-supervisors. Fundamental differences in the way students are assessed in the workplace and the classroom may account for the difference in perceived student performance. The results of the surveys can be used as evidence that the degree is meeting the needs of industry and for graduates to undertake professional work in the Environment and Sustainability discipline. The methodology has the potential to be used in any discipline that has published TLOs. The authors recommend that the Australian Qualifications Framework is reviewed and a rubric that describes student behaviour is used rather than vague terms such as ‘well developed’.

The 360 degree feedback method is one of the performance appraisal methods which implementation takes an assessment of the parties around the employee being assessed. The 360 degree feedback method performance appraisal system conducted at PT. Pertamina RU IV (Persero) Cilacap aims to determine the implementation of the performance appraisal system using the 360 degree feedback method, determine employee performance with what variables are used in performance appraisal, and obtain performance optimization. The research method used in this research uses qualitative methods with a quantitative approach. The 360 degree feedback method is used to find data from respondents, namely from superiors, colleagues, themselves and subordinates. Based on the research that had been done, it had succeeded in determining the best workers from each discipline and position based on the calculation of variables and indicators used. The 360 degree feedback performance assessment can help the company appropriately to provide rewards for workers with the highest percentage and provide punishment for workers with lowest percentage. The calculation of these variables and indicators helps the company to find the right solution in an effort to optimize the performance of its employees.Keywords: performance, performance appraisal, 360 degree feedback method

In order to promote the prosperity and development of the research on “regional tourism performance” and better guide the practice of regional tourism development, this paper gives a basic and comprehensive review of the research activities on “regional tourism performance.” Data were collected from 418 English papers (2004–2020) collected from the Web of Science database. This study uses CiteSpace and Gephi to analyze the development of the thematic research from four dimensions: research overview, knowledge base, discipline structure, and research frontier. The study found that “regional tourism performance” is still a hot spot of the future. The existing literature on “regional tourism performance” mainly focuses on constructing models, exploring influencing factors, and innovating management models to improve tourist satisfaction, enhance regional tourism competitiveness, and promote regional economic growth. Panel data, entropy index, data envelopment analysis, bootstrap truncated regression models, coupling coordination degree, and spatial variation are the main research methods. Since 2016, cultural tourism, heritage tourism, rural tourism, tourism destinations competitiveness, and regional tourism governance have become hot topics in the thematic research. This paper is helpful to improve the research efficiency of the thematic research, promote the theoretical results to better guide the practice, and improve the level of regional tourism performance. However, this paper has limitations in terms of concept differentiation and data accuracy.

The purpose of this study was to determine the effect of morale and work discipline on teacher performance at SMPN 1 Taliwang, West Sumbawa Regency. The population in this study were all teachers at SMPN 1 Taliwang, West Sumbawa Regency, totaling 32 people. The researchers took the entire population to be used as a research sample (census sampling). Data in the study were collected through questionnaires distributed to research respondents and analyzed using simple linear regression analysis techniques, individual parameter hypothesis testing (t-test), simultaneous parameter hypothesis testing (F-test), and determinant coefficient test (R2). The results of this study indicate that work enthusiasm and work discipline have a positive and significant effect on teacher performance at SMPN 1 Taliwang, West Sumbawa Regency, both partially and simultaneously. The degree of influence of work enthusiasm and work discipline on teacher performance at SMPN 1 Taliwang, West Sumbawa Regency is 89.1%, while the remaining 10.9% is influenced by other variables outside this research model, such as the work environment, principal leadership patterns and others.

This book queries from three different angles what it means to speak of Homeric poetry together with the word “text.” Scholarship from outside the discipline of classical studies on the relationship between orality and textuality motivates and undergirds the project. Part I uses work in linguistic anthropology on oral texts and oral intertextuality to illuminate both the verbal and oratorical landscapes our Homeric poets fashion in their epics and what the poets were striving to do when they performed. Looking to folkloristics, Part II examines modern instances of the textualization of an oral traditional work in order to reconstruct the creation of written versions of the Homeric poems through a process that began with a poet dictating to a scribe. Combining research into scribal activity in other cultures, especially in the fields of religious studies and medieval studies, with research into performance in the field of linguistic anthropology, Part III investigates some of the earliest extant texts of the Homeric epics, the so-called wild papyri. Written texts of the Iliad and the Odyssey achieved an unprecedented degree of standardization after 150 BCE. By looking at oral texts, dictated texts, and wild texts, this book traces the intricate history of Homeric texts from the Archaic to the Hellenistic period, long before the emergence of standardized written texts. Researchers in a number of disciplines will benefit from this comparative and interdisciplinary study.

What does freedom sound like in the context of traditional Japanese theater? Where is the space for innovation, and where can this kind of innovation be located in the rigid instrumentation of the Noh drama? This book investigates flute performance as a space to explore the relationship between tradition and innovation. This first English-language monograph traces the characteristics of the Noh flute (nohkan), its music, and transmission methods and considers the instrument's potential for development in the modern world. The book examines the musical structure and nohkan melodic patterns of five traditional Noh plays and assesses the degree to which Issō School nohkan players maintain to this day the continuity of their musical traditions in three contemporary Noh plays influenced by William Butler Yeats. The book's ethnographic approach draws on interviews with performers and case studies, as well as the author's personal reflection as a nohkan performer and disciple under the tutelage of Noh masters. The book argues that traditions of musical style and usage remain influential in shaping contemporary Noh composition and performance practice, and the existing freedom within fixed patterns can be understood through a firm foundation in Noh tradition.

This book explores the first 150 years of how pastors, priests, rabbis were educated in the United States. These clerical and professions were educated to lead in both religious and public life—specifically through cultural production in five social arenas: the family, the congregation or parish, schools, voluntary associations, and publishing. Protestants, Roman Catholics, and Jews established distinct traditions of graduate theological education during this period of development. These schools placed theological and rabbinical disciplines within liberal arts pedagogies that emphasized the formation of character, interdisciplinary reasoning, and the oratorical performance of their professions. Other schools followed for women religious leaders, African-Americans, and working-class whites that built upon these traditions and often streamlined them more toward Biblical reasoning and vocational skills. All of these traditions of theological rabbinical and populist education were transformed by the rise of the modern research university—first in Germany, then in America. Most Protestant seminaries, Jewish rabbinical schools, and many Catholic seminaries were re-aligned to with the modern university to some degree, while populist Bible and mission schools reacted against them. The result was to limit the professional performance of pastors, priests, and rabbis on religious leadership or higher education at the expense of the other historic social arenas in which they once lead. The book ends with an exploration of how best practices from this period of develop theological and rabbinical education might restore a balance of educating clergy for both religious and public life.

AbstractProcess mining enables organizations to uncover their actual processes, provide insights, diagnose problems, and automatically trigger corrective actions. Process mining is an emerging scientific discipline positioned at the intersection between process science and data science. The combination of process modeling and analysis with the event data present in today’s information systems provides new means to tackle compliance and performance problems. This chapter provides an overview of the field of process mining introducing the different types of process mining (e.g., process discovery and conformance checking) and the basic ingredients, i.e., process models and event data. To prepare for later chapters, event logs are introduced in detail (including pointers to standards for event data such as XES and OCEL). Moreover, a brief overview of process mining applications and software is given.

This chapter explores the employment patterns of male and female Computer Science graduates in the UK. It is shown that women Computer Science graduates fare less well than men on a variety of measures of employment success, despite being more likely to leave university with a better degree. Their performance is compared to that of women from a comparable scientific and male-dominated discipline: engineering. The results show that women graduates from Computer Science degrees enjoy less success in securing graduate-level work than that experienced by other groups of women, including those graduating from engineering. Most notably, women computer science graduates are less likely to secure graduate-level work within the work sphere that their degree has prepared them for: ICT. The utility of explanations focusing on individual preferences, versus those focusing on extra-individual, demand-side factors, is discussed in the context of the findings.

School principals are expected to carry out many duties such as realizing the strategic aims, mission, and vision of the schools, maximizing school performance, maintaining discipline in schools and have many skills and knowledge in management processes. In preschool settings, principals need more training and have understanding of early child education because they have influence on teachers, students, and school context. That’s why quality of principal training programs is very crucial for school progression. This research aimed to determine and analyze the principal qualification requirements of preschools in Turkey. The results of this research will help universities to enrich their education management master and PhD degree programs and contribute to the General Directorate of Teacher Training and Development in Turkey during the organization process of the Education Management Certificate Program to meet the principal qualification requirements of preschools.

This chapter describes the things and people that facilitate collaboration across disciplines: shared items, shared objectives, and shared agents. (These concepts draw from literature on collaboration in the sciences and from research on intercultural communication.) Shared items function differently from discipline to discipline, while being identifiable across disciplines. Shared objectives comprise activity objects, the prospective outcomes of collaboration, and epistemic objects, knowledge sought. Shared agents function within and across two or more disciplines. In this book, shared items are represented primarily by scores (and recordings), activity objects by the book’s chapters, epistemic objects by interpretations of pieces and of analysis-performance relations, and shared agents by scholar-performers or performer-scholars. Mechanisms and processes of collaboration are briefly described: strategies for collaborating when views diverge, and degrees of collaborative convergence (working in parallel, translating or mediating knowledge for mutual influence, transforming domain-specific knowledge into new cross-domain knowledge).

Opinion mining focuses on extracting polarity information from texts. For textual term representation, different feature selection methods, e.g. term frequency (TF) or term frequency–inverse document frequency (TF–IDF), can yield diverse numbers of text features. In text classification, however, a selected training set may contain noisy documents (or outliers), which can degrade the classification performance. To solve this problem, instance selection can be adopted to filter out unrepresentative training documents. Therefore, this article investigates the opinion mining performance associated with feature and instance selection steps simultaneously. Two combination processes based on performing feature selection and instance selection in different orders, were compared. Specifically, two feature selection methods, namely TF and TF–IDF, and two instance selection methods, namely DROP3 and IB3, were employed for comparison. The experimental results by using three Twitter datasets to develop sentiment classifiers showed that TF–IDF followed by DROP3 performs the best.

Robotic navigation applies to multiple disciplines and industrial environments. Coupled with the application of Artificial Intelligence (AI) with intelligent technologies, it has become significant in the field of cognitive robotics. The capacity of reaction of a robot in unexpected situations is one of the main qualities needed to function effectively in the environment where it should operate, indicating its degree of autonomy. This leads to improved performance in structured environments with obstacles identified by evaluating the performance of the reactive paradigm under the application of the technology of neural networks with supervised learning. The methodology implemented a simulation environment to train different robot trajectories and analyze its behavior in navigation and performance in the operation phase, highlighting the characteristics of the trajectories of training used and its operating environment, the scope and limitations of paradigm applied, and future research.

Robotic navigation applies to multiple disciplines and industrial environments. Coupled with the application of Artificial Intelligence (AI) with intelligent technologies, it has become significant in the field of cognitive robotics. The capacity of reaction of a robot in unexpected situations is one of the main qualities needed to function effectively in the environment where it should operate, indicating its degree of autonomy. This leads to improved performance in structured environments with obstacles identified by evaluating the performance of the reactive paradigm under the application of the technology of neural networks with supervised learning. The methodology implemented a simulation environment to train different robot trajectories and analyze its behavior in navigation and performance in the operation phase, highlighting the characteristics of the trajectories of training used and its operating environment, the scope and limitations of paradigm applied, and future research.

Of great interest to software development professionals is whether the adaptive methods found in agile methodologies can be successfully implemented in a highly disciplined environment and still provide the benefits accorded to fully agile projects. As a general rule, agile software development methodologies have typically been applied to non-critical projects using relatively small project teams where there are vague requirements, a high degree of anticipated change, and no significant availability or performance requirements (Boehm & Turner, 2004). Using agile methods in their pure form for projects requiring either high availability, high performance, or both is considered too risky by many practitioners (Boehm et al., 2004; Paulk, 2001). When one investigates the various agile practices, however, one gets the impression that each may still have value when separated from the whole. This chapter discusses how one team was able to successfully drive software development quality improvements and reduce overall cycle time through the introduction of several individual agile development techniques. Through the use of a common-sense approach to software development, it is shown that the incorporation of individual agile techniques does not have to entail additional risk for projects having higher availability, performance, and quality requirements.

Students in the Engineering and Information Technology (IT) field are statistically less mobile than in many other disciplines. This has been documented across Australia, Europe and North America. While studies have shown the benefits of going abroad for a period of time, these messages seem to be lost on many Engineering and IT students. Using comparative case studies between/among various Universities, this chapter outlines and explores the challenges of trying to encourage more of such students to go abroad. Challenges include: (1) student concerns; (2) degree structure and program limitations; and (3) faculty buy-in. This chapter outlines three cases where strategic and operational actions have been taken to mitigate identified challenges. Best practices include the identification and introduction of ‘mobility windows' in curricula in cooperation with faculty, having a clear management framework and performance indicators and achieving faculty buy-in.

Since 2008, the world has faced the economic crisis that has had devastating effects on many regions to various degrees. How regions respond to economic shock depends on regional economic structure and performance, administrative capacity, resources, human capital, social capital, and other factors, were perceived as resilience. Resilience has recently risen to prominence in several disciplines, has also entered policy discourse, and is one of the future strategic goals for the European Union. The aim of the chapter is to introduce a methodology for assessing the resilience of EU28 NUTS 2 regions based on a construction of composite weighted index derived from EU Regional Competitiveness Index database of indicators using Factor analysis and their classification by Cluster analysis. Construction of composite indicators includes several steps that have to be made and corresponding methods have to be chosen to handle different aspects of economic issues including features of EU resilience.

Design of haptic devices requires trade-off between many conflicting requirements, such as high stiffness, large workspace, small inertia, low actuator force/torque, and a small size of the device. With the traditional design and optimization process, it is difficult to effectively fulfill the system requirements by separately treating the different discipline domains. To solve this problem and to avoid sub-optimization, this work proposes a design methodology, based on Multidisciplinary Design Optimization (MDO) methods and tools, for design optimization of six degree-of-freedom (DOF) haptic devices for medical applications, e.g. simulators for surgeon and dentist training or for remote surgery. The proposed model-based and simulation-driven methodology aims to enable different disciplines and subsystems to be included in the haptic device optimization process by using a robust model architecture that integrates discipline-specific models in an optimization framework and thus enables automation of design activities in the concept and detail design phase. Because of the multi-criteria character of the performance requirements, multi-objective optimization is included as part of the proposed methodology. Because of the high-level requirements on haptic devices for medical applications in combination with a complex structure, models such as CAD (Computer Aided Design), CAE (Computer Aided Engineering), and kinematic models are considered to be integrated in the optimization process and presenting a systems view to the design engineers. An integration tool for MDO is used as framework to manage, integrate, and execute the optimization process. A case study of a 6-DOF haptic device based on a TAU structure is used to illustrate the proposed methodology. With this specific case, a Multi-objective Genetic Algorithm (MOGA) with an initial population based on a pseudo random SOBOL sequence and Monte Carlo samplings is used for the optimization.

It has been widely documented that many undergraduate students demonstrate antipathy towards statistics. This paper documents the findings from an investigation of statistics education in a sport and exercise science department at The University of Chichester in the UK. Sports science is a multidisciplinary subject that encompasses biomechanics, physiology, and psychology. The university had a suite of four programmes each with a different emphasis in terms of subject discipline. Academics’ use and interpretation of statistics are influenced by their subject specialism within sports science. The investigation evaluated the differences in examination performance between degree programmes, gender and previous mathematics achievement. Findings from the analysis of examination results found mathematics qualification to significantly affect achievement in statistics examinations. Qualitative analysis provided contextual detail that support the need for professional and pedagogic development.

Aim/Purpose: This brief paper will provide preliminary insight into an institutions effort to help students understand the application of the scientific method as it applies to the business discipline through the creation of a dedicated, required course added to the curriculum of a mid-Atlantic minority-serving institution. In or-der to determine whether the under-consideration course satisfies designated student learning outcomes, an assessment regime was initiated that included examination of rubric data as well as the administration of a student perception survey. This paper summarizes the results of the early examination of the efficacy of the course under consideration. Background: A small, minority-serving, university located in the United States conducted an assessment and determined that students entering a department of business following completion of their general education science requirements had difficulties transferring their understanding of the scientific method to the business discipline. Accordingly, the department decided to create a unique course offered to sophomore standing students titled Principles of Scientific Methods in Business. The course was created by a group of faculty with input from a twenty person department. Methodology: Rubrics used to assess a course term project were collected and analyzed in Microsoft Excel to measure student satisfaction of learning goals and a stu-dent satisfaction survey was developed and administered to students enrolled in the course under consideration to measure perceived course value. Contribution: While the scientific method applies across the business and information disciplines, students often struggle to envision this application. This paper explores the implications of a course specifically purposed to engender the development and usage of logical and scientific reasoning skills in the business discipline by students in the lower level of an bachelors degree program. The information conveyed in this paper hopefully makes a contribution in an area where there is still an insufficient body of research and where additional exploration is needed. Findings: For two semesters rubrics were collected and analyzed representing the inclusion of 53 students. The target mean for the rubric was a 2.8 and the overall achieved mean was a 2.97, indicating that student performance met minimal expectations. Nevertheless, student deficiencies in three crucial areas were identified. According to the survey findings, as a result of the class students had a better understanding of the scientific method as it applies to the business discipline, are now better able to critically assess a problem, feel they can formulate a procedure to solve a problem, can test a problem-solving process, have a better understanding of how to formulate potential business solutions, understand how potential solutions are evaluated, and understand how business decisions are evaluated. Conclusion: Following careful consideration and discussion of the preliminary findings, the course under consideration was significantly enhanced. The changes were implemented in the fall of 2020 and initial data collected in the spring of 2021 is indicating measured improvement in student success as exhibited by higher rubric scores. Recommendations for Practitioners: These initial findings are promising and while considering student success, especially as we increasingly face a greater and greater portion of under-prepared students entering higher education, initiatives to build the higher order thinking skills of students via transdisciplinary courses may play an important role in the future of higher education. Recommendations for Researchers: Additional studies of transdisciplinary efforts to improve student outcomes need to be explored through collection and evaluation of rubrics used to assess student learning as well as by measuring student perception of the efficacy of these efforts. Impact on Society: Society needs more graduates who leave universities ready to solve problems critically, strategically, and with scientific reasoning. Future Research: This study was disrupted by the COVID-19 pandemic; however, it is resuming in late 2021 and it is the hope that a robust and detailed paper, with more expansive findings will eventually be generated. *** NOTE: This Proceedings paper was revised and published in the journal Issues in Informing Science and Information Technology, 18, 161-172. Click DOWNLOAD PDF to download the published paper. ***

Abstract Objectives/Scope Cloud based end to end digital project management platform with digital control tower, as fundamental technologies of the fourth industrial revolution, have enormous potential to improve real time visibility, productivity, collaboration, data sharing, efficiency, predictability, decision power and sustainability in the construction industry. Throughout the lifecycle of capital / mega projects, the engineering, construction, operations, and maintenance stakeholders face numerous issues, including the lack of trust and visibility, inefficiencies, and the fragmentation of the information value chain into fragile data silos. Digital control tower aimed to narrow down the time, budget and quality & safety challenges of a capital project by having overall / end to end control of project from initiation phase to handover and operations phase of the project. Methods, Procedures, Process Digital control tower provides systematic, 360-degree view of project details along with real-time analytics spanning from design engineering, pre-construction planning, onsite execution, action tracker, construction services, equipment's, quality, budget and safety (leading and lagging indicators). Stakeholders involved throughout the project lifecycle (i.e.: owner, engineering team, pre-construction and planning team, construction management and site team), enables instantaneous connectivity from the top floor to the shop floor for seamless communication by reducing waste time. Digital control tower also enables bird's eye view for real time project performance monitoring and progress, it also enables week wise look ahead task for better monitoring and control, also narrows down the issues or concerns to an activity, area or person. The control tower can create the customizable necessary discipline/function dashboards available to all relevant roles and stakeholders without limitation. Results, Observations, Conclusions Digital Control Tower leverages Artificial intelligence, Machine learning and Blockchain technologies to seamlessly capture, maintain and process fragmented data set into intelligent predictive analytics which helps the project stakeholders to take right decision on right time, so as to avoid any kind of delays in project. Novel/Additive Information Digital Control Tower is not a standard dashboard, it's an integrated digital ecosystem where stakeholders can drive projects with real time data for decision making.

Abstract Thermal considerations are a critical facet in SoC and System design. There are numerous difficulties in performing comprehensive thermal analysis on modern SoC designs as well as considerable difficulty in moving towards a cross-discipline co-design strategy. The design space is large and growing more complex with each generation, coupled with long evaluation/simulation time for sufficiently accurate thermal response. Thermal feedback into design iterations were additionally slowed by the huge numbers of excitation (workloads) scenarios needed to provide design robustness. Augmented Intelligence and machine learning (ML) approaches are explored to address some of these difficulties, as well as development of a fast evaluation function to reduce total computation time. Various clustering and modeling techniques are used to improve stimulus/workload selection and coverage for analysis, which further reduces evaluation time. This huge enhancement in evaluation time has opened new opportunities for co-design work, ML optimization schemes are applied to address the high degrees of freedom present at the SoC level. The results have been impressive, showing huge potential for thermal improvements which translate directly into improved product performance.

Efforts to achieve NASA’s N+2 and N+3 fuel burn goals have led to various future aircraft concepts. A commonality in all these concepts is the presence of a high degree of interaction among the various disciplines involved. A tightly integrated propulsion/airframe results in distortion in the flow field around the engine annulus. Although beneficial in terms of propulsive efficiency (due to boundary layer ingestion), the impact of distortion on fan performance and operability remains in question for these concepts. As such, rapid evaluation of the impacts of distortion during the conceptual design phase is necessary to assess various concepts. This is especially important given the expansion of the design space afforded by turbo-electric and hybrid-electric distributed propulsion concepts, in which the gas turbine generator and propulsive devices can be decoupled in space. A simple and rapid methodology to assess operability of compressors is the theory of Parallel Compressors (PC). PC theory views the compressor as two compressors in parallel, one with a uniform high Pt and the other with a uniform low Pt, both operating at the same speed and exiting to a common static pressure. The assumption of two compressors exiting at the common static pressure is not entirely true, especially when the distortion is high. In this paper, the development of a modified parallel compressor model with parametric boundary condition that can capture the impact of non-uniform inflow on fan performance is introduced and validated. Unlike classical PC model, the modified approach introduces a boundary condition dependent on the intensity of distortion (DPCP) at the Aerodynamic Interface Plane (AIP). Additionally, the concept of PC is also extended to Multi-Per Revolution (MPR) distortion. A modeling environment which follows this methodology is created in PROOSIS, an object oriented 0-D cycle code. The model was created using the “compressor” components acting in parallel and a procedure for implementing both design mode and off-design mode solutions was created using the PROOSIS toolset. The example problem was implemented to demonstrate two capabilities — i) the ability of quantifying impacts on thrust and performance of a ducted fan propulsion system, and ii) the ability of predicting loss in stability pressure ratio. The results clearly show the ability of the tool to quantify distortion related losses. The work described in this paper can be integrated to a Multi-Disciplinary Design and Optimization (MDAO) framework along with other disciplines and can be used to evaluate the viability of design space offered by novel aircraft configurations.

The paper presents methodological tools that are being used in Mexico to address the relationship between the National Metrological System (NMS) and the Automotive Sector and Industries (ASI). The main objective is to enhance the performance of the organizations that conform the NMS (CENAM, Cal Labs, Test Labs, Service Companies) and provide a framework to organize their actions. A guiding principle has been to maintain a systemic integration NMS • ASI, at the same time that both sides of the equation are disaggregated to identify more effective ways of interaction. On the side of the ASI, the sector has been segmented with a criteria of the subsystems of the vehicle: Chasis, Body, Power Train, Interiors, Exteriors, Electrical and Infotainment. Companies that participate are OEMs, Tier 1, Tier 2, etc. On the side of the NMS, the system has been considered as: Primary metrology and reference standards, calibrations services, testing services, gages and fixtures producers, certification bodies. The organizations and companies that develop each function go from the NMI (CENAM) to secondary laboratories, both public and private, and include technological companies. The projects being proposed include the strengthening of calibration and measurement capabilities in the mentioned disciplines, as well as training programs and systems development. Other important activities being addressed include the development of highly capable testing laboratories, as well as gage and fixture manufacturers. The paper presents the actions being taken, their degree of advance and planes for the next years.

Abstract The design of strongly coupled multidisciplinary engineering systems is challenging since it is characterized by the complex interaction of different disciplines. Such complexity cannot be easily captured by explicit analytical solutions, which motivates the development of surrogate modeling. It enables the prediction of the systems’ behavior without analytical formulations. Among existing surrogate modeling techniques, deep learning has gained significant interest because of the flexibility of non-linear formulation and applicability to data-driven analysis. Notably, the convolution neural networks-based deep surrogate model augments the precision of prediction and estimation of system behavior once image-based inputs representing physical experiments and simulation are employed. Nevertheless, the feasibility of the deep surrogate model is often flawed due to the miserable correlation representation between design parameters and the corresponding responses. Massive training costs also degrade the performance of the predictive model. To address those issues, this research proposes a physics-informed artificial image (PiAI) that incubates geometry-informed CAD, location-clarified filter, and essential simulation conditions, which augments the prediction credibility. Moreover, in lieu of employing multimodalities or multiple image channels, the proposed method employs a unimodal-based single image input to increase computational efficiency. The proposed framework’s efficacy and applicability are addressed in practical engineering design applications: cantilever beam and stretchable strain sensor.

Nuclear power plants design is moving toward a wider use of digital computers, especially microprocessors, in information and control systems. The amount of automation and the role of the operator are under discussion in many countries. The view of the operator’s role presently varies. The main opinions can be summarized as follows: 1. Move toward a high degree of automation, fostering the machine role. 2. Use of computer-generated procedures providing information to skilled operators for them to make the final decision. 3. Use of digital systems to help the operator identify problems, decide on the appropriate corrective actions and aid in the execution of those actions. Tecnatom, S.A. has developed an integrated Human Factor Engineering (HFE) methodology, based on international regulations and experience obtained from several national and international projects, combining technology, organization and human elements to generate a Human-Centered Design. Human Factor Engineering (HFE) is the application of the knowledge of human capabilities and characteristics to develop equipment, facilities and systems. With the application of this knowledge, human performance, and therefore system performance, can be dramatically improved. Man/machine systems designed with the human as a key element are inherently safer and more reliable than those that are not. Until recently, design of these human-equipment interfaces has been secondary to “pure hardware” design; that is, equipment and facilities were designed without formal consideration of the implications for operators. Our approach is to systematically apply an HFE methodology that will produce: a) Human-System Interfaces that are easy, friendly to and consistent for the operators. b) Simulator-Assisted Engineering platforms for validation activities in the logic, control and human-system interface areas. c) Training Programs based on the systematic analysis of job and task requirements. d) Procedures derived from the same design process and analyses as the Human-System Interface and Training. Application of good HFE methodology during system development, implementation and operation is, from our point of view, vital for optimal system performance regarding operation activities. “A disciplined approach to HFE helps ensure that humans are considered integral system components, requiring careful consideration of how they will interact with their equipment.”

Abstract As unconventional reservoirs continue to be discovered and appraised, an ever increasing challenge is to understand the productive mechanism that unlocks the potential of these reservoirs. Since most unconventional reservoirs have some degree of lamination (varying from a few hundreds of an inch to a couple of feet), a technical hurdle exists in understanding the integration of conventional logging (using up-scaled measurements), modeling software (assumptions, gridding, numerical/P3D) and fine scale measurements (core measurements). Laminated reservoirs pose many challenges in the decision making process especially when a model centric, data driven approach is utilized. These challenges can be reduced to two categories: (1) challenges in understanding fracture propagation mechanism and (2) challenges in reservoir characterization. This paper focuses on a procedure to capture the former. The early phase of gathering measurements is frequently executed with data sets and measurements that are incomplete and insufficient to understand the production mechanism in these low porosity environments. In an engineering analysis, this data may be utilized only to a limited extent, due to the inconsistences in the measurements gathered at various scales. To overcome these inconsistencies a novel approach to estimate mechanical properties with sub-sonic resolution through integration of sonic logs, high resolution logs, and facies classification has been developed. The use of traditional workflows to derive mechanical properties has led to overestimating and/or underestimating rock strength and stress in the different layers. This, historically, has resulted in inconsistent conclusions across various disciplines and unexplainable well performance. Furthermore, the process of matching hydraulic fracture net-pressure using conventional workflows can result in the complication of fracture propagation process or incorrect calibration of the Mechanical Earth Model used to estimate earth stresses. We have demonstrated that the presented workflow allows for more accurate estimation of the mechanical properties profile in thin bed formations and consequently more effective use of those estimates to design hydraulic fractures and analyze the results.

The starting point of the research project was the hypothesis that the "principle of proportionality", which is fundamental to law, is related to the "economic principle". The resulting methodological similarities were intended to enable a cross-disciplinary bridge to be built, which would allow the findings of economic analysis to be made fruitful for legal issues. This was practically tested in three study areas in order to be able to better classify the performance of the analytical tools. The foundations for interdisciplinary bridge building are found in the rational-choice paradigm. In both disciplines, this paradigm calls for an examination of the relationship between the purpose-means-relations: among the design options under consideration, the one must be selected that is expected to be as (freedom- or resource-) sparing as possible, in other words, the most "waste-free" solution to the control problem.The results of the economic analysis can thus be "translated" in such a way that, within the framework of "necessity", they support the search for control instruments that are equivalent to the objective but less disruptive. supports. The core of the positive economic analysis is the motivational situation of those actors whose behavior is to be influenced by a changed legal framework. In this context, the classical behavioral model of economics proved to be too limited. It therefore had to be developed further in line with the findings of research in institutional economics into homo oeconomicus institutionalis. This behavioral model takes into account not only the consequentialist, strictly situational utility orientation of the model person, but also other factors influencing behavior, including above all those that are institutionally mediated. If one takes the motivational situation of the actors as the starting point for policy-advising design recommendations, it becomes apparent that an understanding of governance dominated by imperative behavioral specifications leads to less favorable results, both in terms of the degree to which goals are achieved and in terms of the freedom-impairing effects, than a mixed-instrument approach oriented toward the model of "responsive regulation." According to this model, the law can no longer simply assume that those subject to the law will "obediently" execute the legal commands. It must ask itself what other factors determine behavior and under what boundary conditions changes can be expected in the direction of the desired behavior. For this reason, too, it must engage with the cognitive program of the behavioral sciences. This linkage opens up new perspectives for interdisciplinary research on the consequences of laws.

This report maps the African landscape of Open Science – with a focus on Open Data as a sub-set of Open Science. Data to inform the landscape study were collected through a variety of methods, including surveys, desk research, engagement with a community of practice, networking with stakeholders, participation in conferences, case study presentations, and workshops hosted. Although the majority of African countries (35 of 54) demonstrates commitment to science through its investment in research and development (R&D), academies of science, ministries of science and technology, policies, recognition of research, and participation in the Science Granting Councils Initiative (SGCI), the following countries demonstrate the highest commitment and political willingness to invest in science: Botswana, Ethiopia, Kenya, Senegal, South Africa, Tanzania, and Uganda. In addition to existing policies in Science, Technology and Innovation (STI), the following countries have made progress towards Open Data policies: Botswana, Kenya, Madagascar, Mauritius, South Africa and Uganda. Only two African countries (Kenya and South Africa) at this stage contribute 0.8% of its GDP (Gross Domestic Product) to R&D (Research and Development), which is the closest to the AU’s (African Union’s) suggested 1%. Countries such as Lesotho and Madagascar ranked as 0%, while the R&D expenditure for 24 African countries is unknown. In addition to this, science globally has become fully dependent on stable ICT (Information and Communication Technologies) infrastructure, which includes connectivity/bandwidth, high performance computing facilities and data services. This is especially applicable since countries globally are finding themselves in the midst of the 4th Industrial Revolution (4IR), which is not only “about” data, but which “is” data. According to an article1 by Alan Marcus (2015) (Senior Director, Head of Information Technology and Telecommunications Industries, World Economic Forum), “At its core, data represents a post-industrial opportunity. Its uses have unprecedented complexity, velocity and global reach. As digital communications become ubiquitous, data will rule in a world where nearly everyone and everything is connected in real time. That will require a highly reliable, secure and available infrastructure at its core, and innovation at the edge.” Every industry is affected as part of this revolution – also science. An important component of the digital transformation is “trust” – people must be able to trust that governments and all other industries (including the science sector), adequately handle and protect their data. This requires accountability on a global level, and digital industries must embrace the change and go for a higher standard of protection. “This will reassure consumers and citizens, benefitting the whole digital economy”, says Marcus. A stable and secure information and communication technologies (ICT) infrastructure – currently provided by the National Research and Education Networks (NRENs) – is key to advance collaboration in science. The AfricaConnect2 project (AfricaConnect (2012–2014) and AfricaConnect2 (2016–2018)) through establishing connectivity between National Research and Education Networks (NRENs), is planning to roll out AfricaConnect3 by the end of 2019. The concern however is that selected African governments (with the exception of a few countries such as South Africa, Mozambique, Ethiopia and others) have low awareness of the impact the Internet has today on all societal levels, how much ICT (and the 4th Industrial Revolution) have affected research, and the added value an NREN can bring to higher education and research in addressing the respective needs, which is far more complex than simply providing connectivity. Apart from more commitment and investment in R&D, African governments – to become and remain part of the 4th Industrial Revolution – have no option other than to acknowledge and commit to the role NRENs play in advancing science towards addressing the SDG (Sustainable Development Goals). For successful collaboration and direction, it is fundamental that policies within one country are aligned with one another. Alignment on continental level is crucial for the future Pan-African African Open Science Platform to be successful. Both the HIPSSA ((Harmonization of ICT Policies in Sub-Saharan Africa)3 project and WATRA (the West Africa Telecommunications Regulators Assembly)4, have made progress towards the regulation of the telecom sector, and in particular of bottlenecks which curb the development of competition among ISPs. A study under HIPSSA identified potential bottlenecks in access at an affordable price to the international capacity of submarine cables and suggested means and tools used by regulators to remedy them. Work on the recommended measures and making them operational continues in collaboration with WATRA. In addition to sufficient bandwidth and connectivity, high-performance computing facilities and services in support of data sharing are also required. The South African National Integrated Cyberinfrastructure System5 (NICIS) has made great progress in planning and setting up a cyberinfrastructure ecosystem in support of collaborative science and data sharing. The regional Southern African Development Community6 (SADC) Cyber-infrastructure Framework provides a valuable roadmap towards high-speed Internet, developing human capacity and skills in ICT technologies, high- performance computing and more. The following countries have been identified as having high-performance computing facilities, some as a result of the Square Kilometre Array7 (SKA) partnership: Botswana, Ghana, Kenya, Madagascar, Mozambique, Mauritius, Namibia, South Africa, Tunisia, and Zambia. More and more NRENs – especially the Level 6 NRENs 8 (Algeria, Egypt, Kenya, South Africa, and recently Zambia) – are exploring offering additional services; also in support of data sharing and transfer. The following NRENs already allow for running data-intensive applications and sharing of high-end computing assets, bio-modelling and computation on high-performance/ supercomputers: KENET (Kenya), TENET (South Africa), RENU (Uganda), ZAMREN (Zambia), EUN (Egypt) and ARN (Algeria). Fifteen higher education training institutions from eight African countries (Botswana, Benin, Kenya, Nigeria, Rwanda, South Africa, Sudan, and Tanzania) have been identified as offering formal courses on data science. In addition to formal degrees, a number of international short courses have been developed and free international online courses are also available as an option to build capacity and integrate as part of curricula. The small number of higher education or research intensive institutions offering data science is however insufficient, and there is a desperate need for more training in data science. The CODATA-RDA Schools of Research Data Science aim at addressing the continental need for foundational data skills across all disciplines, along with training conducted by The Carpentries 9 programme (specifically Data Carpentry 10 ). Thus far, CODATA-RDA schools in collaboration with AOSP, integrating content from Data Carpentry, were presented in Rwanda (in 2018), and during17-29 June 2019, in Ethiopia. Awareness regarding Open Science (including Open Data) is evident through the 12 Open Science-related Open Access/Open Data/Open Science declarations and agreements endorsed or signed by African governments; 200 Open Access journals from Africa registered on the Directory of Open Access Journals (DOAJ); 174 Open Access institutional research repositories registered on openDOAR (Directory of Open Access Repositories); 33 Open Access/Open Science policies registered on ROARMAP (Registry of Open Access Repository Mandates and Policies); 24 data repositories registered with the Registry of Data Repositories (re3data.org) (although the pilot project identified 66 research data repositories); and one data repository assigned the CoreTrustSeal. Although this is a start, far more needs to be done to align African data curation and research practices with global standards. Funding to conduct research remains a challenge. African researchers mostly fund their own research, and there are little incentives for them to make their research and accompanying data sets openly accessible. Funding and peer recognition, along with an enabling research environment conducive for research, are regarded as major incentives. The landscape report concludes with a number of concerns towards sharing research data openly, as well as challenges in terms of Open Data policy, ICT infrastructure supportive of data sharing, capacity building, lack of skills, and the need for incentives. Although great progress has been made in terms of Open Science and Open Data practices, more awareness needs to be created and further advocacy efforts are required for buy-in from African governments. A federated African Open Science Platform (AOSP) will not only encourage more collaboration among researchers in addressing the SDGs, but it will also benefit the many stakeholders identified as part of the pilot phase. The time is now, for governments in Africa, to acknowledge the important role of science in general, but specifically Open Science and Open Data, through developing and aligning the relevant policies, investing in an ICT infrastructure conducive for data sharing through committing funding to making NRENs financially sustainable, incentivising open research practices by scientists, and creating opportunities for more scientists and stakeholders across all disciplines to be trained in data management.