Miracle-dz/UniFAR-FTUs huggingface dataset:
Measurement for supply chain collaboration and supply chain performance of manufacturing companies

Supply chain management (SCM) has changed from a strategically decoupled to strategically coupled area of research, as such partners have to improve relationships with one another. Although success of a supply chain (SC) depends on the integration of people, technology, and information, collaboration remains critical to these capabilities and processes. Thus, the aim of this study is to model and measure the relationship between the trust-intertwined SC collaborative process and supply chain performance (SCP) of manufacturing companies. This study followed a post-positivism epistemology based on a crosssectional survey. Previous measurements of SC collaborative process were investigated, integrated, and tested among 286 top managers of manufacturing companies. These companies are members of the Manufacturers’ Association of Nigeria (MAN). Questionnaires were distributed through face-to-face methodology with aid from trained research assistants. Cluster and stratified random sampling were used to select the respondents. SPSS was used during the exploratory factor analysis while covariance structural equation modeling was used to confirm the study’s measurement and structural models. Both models had satisfied recommended threshold values. This study found a significant and statistical relationship between supply chain collaboration (SCC) and SCP. The data and findings of this study fit the social exchange theory (SET). Thus, this study has implications for theory testing in SCC as well as guidance on ways to pursue collaboration by managers of manufacturing companies.
Experimental mode shape determination of a cantilevered hydrofoil under different flow conditions

The first three mode shapes of a cantilevered NACA0009 hydrofoil were experimentally investigated in air and under different flow conditions in a cavitation tunnel. First and second bending modes and first torsion mode were determined in resonance conditions with the hydrofoil vibrating in air, in still water, in flowing water, or with leading edge sheet cavitation. The hydrofoil was excited with embedded piezoelectric ceramic patches, and the response was measured along the surface at selected positions by means of a laser Doppler vibrometer. The modes of vibration obtained from a cross correlation analysis of the signals were compared for the different conditions, and the most significant differences were identified. In particular, it was found that the mode shape deformation and the location of the nodal lines are dependent on the fluid conditions.
EMI Teacher-Training Courses in Europe

English-medium instruction has seen growth over the past 10 years in European non-English speaking countries. This phenomenon is nowadays taken for granted even though many issues are to be taken into account when a university course is delivered through English by non-native speakers. This is why some universities have started providing lecturer training all over Europe. This article seeks to give an overview of both linguistic and methodological EMI training in European countries.
Energy and economic impacts of rainwater tanks on the operation of regional water systems

Abstract This study has analysed the reductions in operational costs (pumping, water treatment and maintenance) and greenhouse gas emissions from regional water supplies that include installation of rainwater tanks used to supply domestic laundry, toilet and outdoor water uses across New South Wales. The household cost of rainwater supply ranged from $7.95/kL at Broken Hill to $0.88/kL in the Central Coast region. However, installation of rainwater tanks produced considerable reductions in operating costs of a city’s water system ranging from $57 to $6371 per household installing a rainwater tank. Significant reductions in greenhouse gas emissions of up to 75% from including rainwater tanks in regional water systems were also observed. In addition, significant improvement in the security of regional water supplies with subsequent deferral of the requirement for augmentation of supply (new dams or desalination plants) was observed for coastal cities. These benefits were seen to be dependent on the average annual rainfall depth, distance from the coast, and availability of reliable operational and augmentation data of a regional water system. This study reveals the importance of including rainwater tanks or, indeed, any other decentralised water management option in analysis of the operation of regional water systems to provide a realistic understanding of combinations of centralised and decentralised water management strategies.
Parameter Extraction of Solar Cell Models Using the Lightning Search Algorithm in Different Weather Conditions

Recently, accurate modeling of the differences between the current and voltage (I–V) characteristics of solar cells has been the main focus of many research studies. Mostly the results were obtained only for single diode or double diode solar cells, not for both or even for photovoltaic (PV) modules. Moreover, the effect of different shading conditions and different temperatures should be considered; otherwise, the obtained results would be reliable for specific weather conditions and unreliable for all real conditions. In this study, a novel nature-inspired optimization method known as the lightning search algorithm (LSA) was developed to extract the parameters of single diode and double diode solar cells as well as for a PV module. LSA is formulated based on lightning, which originates from thunderstorms. Experimental data from multicrystalline KC200GT solar panels were used to test the single diode and double diode solar panel models, and experimental data from the monocrystalline SQ150-PC solar panels were used to test the PV module model. The experimental data are first collected at the same temperature at five different irradiance levels. In the second stage, variations in temperature are considered at the same irradiance level. The extraction results in the LSA I–V curves accurately fit the entire range of the experimental data, while many fluctuations were seen in the particle swarm optimization (PSO) and bee colony optimization (BCO) I–V curves. The convergence characteristics of LSA were also evaluated in terms of accuracy and speed. For all cases, when LSA was used, the accuracies matched well with the entire range of experimental data. In addition, the value of the objective function using LSA was lower, and that method converged much faster than PSO and BCO.
Mental toughness, servant leadership, and the collegiate distance runner

Mental toughness is commonly associated with successful performance in the realm of athletics. However, despite the prevalence of its usage, the concept remains somewhat ambiguous in its definition and practical application. The purpose of this study was to determine the relationship between mental toughness and running performance amongst collegiate distance runners, a population that has yet to be the center of a mental toughness investigation. Of additional interest was to determine how a coach’s servant leadership attributes interacts with athletes’ mental toughness. Participants (n = 334) were males and females from 64 collegiate track teams from all divisions of the NCAA. Participants completed the Mental Toughness Questionnaire 48 (MTQ48; Clough et al., 2002), the Revised Servant Leadership Profile for Sport (RSLPS; Hammermeister et al., 2008), and provided their current threeand five-kilometer personal best track times. Additionally, participants that competed in selected fivekilometer events had their race times recorded. Statistical analysis employed the ANOVA, ANCOVA, and Pearson r correlation techniques. Significant differences were discovered in both reported threeand five-kilometer personal best times, with the mentally tough group running faster than the non-mentally tough group. A significant difference was also found on the MTQ48 for the servant leader groups, with athletes that perceived their coaches to be servant leaders being more mentally tough than athletes in the non-servant leader group. Results are discussed in terms of theory, research, and practice.
Fusion of time of flight (ToF) camera's ego-motion and inertial navigation.

For mobile robots to navigate autonomously, one of the most important and challenging task is localisation. Localisation refers to the process whereby a robot locates itself within a map of a known environment or with respect to a known starting point within an unknown environment. Localisation of a robot in unknown environment is done by tracking the trajectory of a robot whilst knowing the initial pose. Trajectory estimation becomes challenging if the robot is operating in an unknown environment that has scarcity of landmarks, is GPS denied, is slippery and dark such as in underground mines. This dissertation addresses the problem of estimating a robot’s trajectory in underground mining environments. In the past, this problem has been addressed by using a 3D laser scanner. 3D laser scanners are expensive and consume lot of power even though they have high measurements accuracy and wide field of view. For this research work, trajectory estimation is accomplished by the fusion of an ego-motion provided by Time of Flight(ToF) camera and measurement data provided by a low cost Inertial Measurement Unit(IMU). The fusion is performed using Kalman filter algorithm on a mobile robot moving in a 2D planar surface. The results shows a significant improvement on the trajectory estimation. Trajectory estimation using ToF camera only is erroneous especially when the robot is rotating. The fused trajectory estimation algorithm is able to estimate accurate ego-motion even when the robot is rotating. Declaration Supervisor As the candindate’s supervisor I agree to the submission of this dissertation Prof Jules-Raymond Tapamo Declaration Plagiarism I, Thikhathali Terence Ratshidaho, declare that 1. The research reported in this dissertation, except where otherwise indicated, is my original research. 2. This dissertation has not been submitted for any degree or examination at any other university. 3. This dissertation does not contain other persons data, pictures, graphs or other information, unless specifically acknowledged as being sourced from other persons. 4. This dissertation does not contain other persons’ writing, unless specifically acknowledged as being sourced from other researchers. Where other written sources have been quoted, then: (a) Their words have been re-written but the general information attributed to them has been referenced (b) Where their exact words have been used, then their writing has been placed in italics and inside quotation marks, and referenced. 5. This dissertation does not contain text, graphics or tables copied and pasted from the Internet, unless specifically acknowledged, and the source being detailed in the dissertation and in the References sections.
Beamsteering and nullsteering in interference aware wireless networks with point to point beam forming with directional antennas

The concept of beamforming and beamsteering has been gathering immense popularity since the idea’s inception. Many in the field of Wireless Communication and in the defense community have tried and succeeded in utilizing the benefits of beamforming and beamsteering with directional antennas. With the increasing popularity of decentralized adhoc networks, it only becomes necessary that the concept of beamsteering be formulated with respect to the network that is being studied. In relation to RF Engineering, the idea of beamsteering has been studied and explored diversely, by proposing beamsteering/ nullsteering algorithms pertaining to Digital Signal Processing. We however, make an attempt to understand beamsteering and nullsteering from the perspective of the physical layer of an Ad hoc network. Hence, it becomes essential that several network parameters like Signal to Interference Ratio, and contention in between individual connections be considered along with the RF parameters like antenna beamwidth, mainlobe and sidelobe gains, Relationship between sidelobes and nulls, Positions of sidelobes and nulls with change in the beamwidth and the number of elements in the directional antenna array. All these different parameters generate a sequence of combinations
Waste water from raw rubber processing industry in Sri Lanka and related environmental aspects

Natural rubber is one of the three major crops in Sri Lanka grown over 160,000 hectares of land in major rubber growing districts namely Kalutara. Kegalle. Ratnapura. Gampaha and Galle. In addition to being one of the major economic crops, it also strengthen the natural forest cover (40% of the land) of the country thereby contributing towards continuity of environmental balance. However various planting practices and processing of the raw material are known to cause an impact on environmental balance in the rubber plantation at varying degrees. The most noticeable effect is caused by factory effluents which contain a large amount of non rubber substances in addition to traces of various processing chemicals. The unpleasant ordour caused by factory effluent has become an environmental problem in several estates and the affected waterways of the country by factory effluents has aroused significant public concern. There are a large number of raw rubber processing factories in Sri Lanka which are equipped with facilities to produce one or more of the following grades of rubber.
Usability Testing and Technology Acceptance of an mHealth App at the Point of Care During Simulated Pediatric In- and Out-of-Hospital Cardiopulmonary Resuscitations: Study Nested Within 2 Multicenter Randomized Controlled Trials

Background Mobile apps are increasingly being used in various domains of medicine. Few are evidence-based, and their benefits can only be achieved if end users intend to adopt and use them. To date, only a small fraction of mobile apps have published data on their field usability and end user acceptance results, especially in emergency medicine. Objective This study aims to determine the usability and acceptance of an evidence-based mobile app while safely preparing emergency drugs at the point of care during pediatric in- and out-of-hospital cardiopulmonary resuscitations by frontline caregivers. Methods In 2 multicenter randomized controlled parent trials conducted at 6 pediatric emergency departments from March 1 to December 31, 2017, and 14 emergency medical services from September 3, 2019, to January 21, 2020, the usability and technology acceptance of the PedAMINES (Pediatric Accurate Medication in Emergency Situations) app were evaluated among skilled pediatric emergency nurses and advanced paramedics when preparing continuous infusions of vasoactive drugs and direct intravenous emergency drugs at pediatric dosages during standardized, simulation-based, pediatric in- and out-of-hospital cardiac arrest scenarios, respectively. Usability was measured using the 10-item System Usability Scale. A 26-item technology acceptance self-administered survey (5-point Likert-type scales), adapted from the Unified Theory of Acceptance and Use of Technology model, was used to measure app acceptance and intention to use. Results All 100% (128/128) of nurses (crossover trial) and 49.3% (74/150) of paramedics (parallel trial) were assigned to the mobile app. Mean total scores on the System Usability Scale were excellent and reached 89.5 (SD 8.8; 95% CI 88.0-91.1) for nurses and 89.7 (SD 8.7; 95% CI 87.7-91.7) for paramedics. Acceptance of the technology was very good and rated on average >4.5/5 for 5 of the 8 independent constructs evaluated. Only the image construct scored between 3.2 and 3.5 by both participant populations. Conclusions The results provide evidence that dedicated mobile apps can be easy to use and highly accepted at the point of care during in- and out-of-hospital cardiopulmonary resuscitations by frontline emergency caregivers. These findings can contribute to the implementation and valorization of studies aimed at evaluating the usability and acceptance of mobile apps in the field by caregivers, even in critical situations. Trial Registration ClinicalTrials.gov NCT03021122; https://clinicaltrials.gov/ct2/show/NCT03021122. ClinicalTrials.gov NCT03921346; https://clinicaltrials.gov/ct2/show/NCT03921346 International Registered Report Identifier (IRRID) RR2-10.1186/s13063-019-3726-4
Ecosystem design as an avenue for improving services provided by carbonate producing marine ecosystems

Ecosystem Design (ED) is an approach for constructing habitats that places human needs for ecosystem services at the center of intervention, with the overarching goal of establishing self-sustaining habitats which require limited management. This concept was originally developed for use in mangrove ecosystems, and is understandably controversial, as it markedly diverges from other protection approaches that assign human use a minor priority or exclude it. However, the advantage of ED lies within the considered implementation of these designed ecosystems, thus preserving human benefits from potential later disturbances. Here, we outline the concept of ED in tropical carbonate depositional systems and discuss potential applications to aid ecosystem services such as beach nourishment and protection of coastlines and reef islands at risk from environmental and climate change, CO2 sequestration, food production, and tourism. Biological carbonate sediment production is a crucial source of stability of reef islands and reef-rimmed coastlines. Careful implementation of designed carbonate depositional ecosystems could help counterbalance sea-level rise and manage documented erosion effects of coastal constructions. Importantly, adhering to the core ethos of ED, careful dynamic assessments which provide a balanced approach to maximizing ecosystem services (e.g., carbonate production), should identify and avoid any potential damages to existing functioning ecosystems.
Modeling of Fischer-Tropsch Product Distribution over Fe-based Catalyst

Modeling of Fischer-Tropsch Product Distribution over Fe-based Catalyst Branislav Todic, Tomasz Olewski, Nikola Nikacevic, Dragomir B. Bukur* a Chemical Engineering Program, Texas A&M University at Qatar, PO Box 23874, Doha, Qatar b Faculty of Technology and Metallurgy, University of Belgrade, Karnegijeva 4, Belgrade, Serbia c Artie McFerrin Department of Chemical Engineering, Texas A&M University, 3122 TAMU, College Station, TX 77843, USA dragomir.bukur@qatar.tamu. edu
Educational innovation in an undergraduate medical course: Implementation of a blended e-learning, team-based learning model

ii ACKNOWLEDGEMENTS iv TABLE OF CONTENTS vi LIST OF TABLES ix CHAPTER ONE: INTRODUCTION 1 BACKGROUND 1 MEDICAL EDUCATION IN THE LAST 100 YEARS 2 MEDICAL SCHOOL CURRICULAR STRUCTURE 4 THE RESEARCH SETTING 7 RESEARCH QUESTIONS 8 ORGANIZATION OF THESIS 8 CHAPTER TWO: LITERATURE REVIEW 10 OVERVIEW OF CHAPTER 10 LEARNING TO TEACH IN THE IVORY TOWER 10 TEAM-BASED LEARNING 15 BLENDED LEARNING 17 CHAPTER THREE: METHODS OF DATA COLLECTION AND ANALYSIS . 22 OVERVIEW OF THE CHAPTER 22 Research Questions 22 METHODS OF DATA COLLECTION 24 Question #1 24 Question #2 24 Question #3 28 METHODS OF DATA ANALYSIS 29 CHAPTER FOUR: RESULTS 33 OVERVIEW OF THE CHAPTER 33 DEMOGRAPHICS 34 QUESTION #1 34 Introduction to Course 34
Application of Methods Analysis to Steel Erection Tasks: Identification of Factors Affecting Labor Performance

Abstract Work methods play an important role in the performance of a task. When a worker is required to perform additional movements, use several tools and carry additional materials to perform a task, his/her performance can be affected. An analysis of task durations in the steel beam installation process showed that factors such as the use of personal protective equipment (PPE) can affect task durations. It is of interest to determine what aspects of the tasks are different (i.e. handling of tools and materials and difference in required motions, etc.) and can affect performance. An analysis of these differences provides valuable information that can be used to improve steel erection performance without adversely affecting the safety of the worker. This paper presents results of analysis of the method of the steel beam installation process considering the tasks involved in the process. The results show that factors such as the use of PPE and the length of steel beams play a role in differences in task performance.
Assesment of student learning when using tablet PCs and the software DyKnow

Many advances in technology in software and hardware promise to improve student learning. Of the more promising technologies to come onto the market recently were the tablet PC and an interactive-education software package called DyKnow. This combination of software and hardware offered to solve many of the problems that students and instructors face in a regular classroom such deficient student understanding, lack of student participation, and incomplete classroom notes. An objective of this work was to measure student learning comparing two equivalent groups of engineering students in their first semester of thermodynamics. One group was taught using a conventional lecture style, while the other group utilized tablet PCs and the DyKnow software. Both groups were given the same final exam, at least, so their respective levels of understanding could be assessed and compared. These experiments were conducted for three consecutive semesters. Results of both groups were compared by selecting pairs of students with similar GPAs and applying statistical methods on the two groups’ scores. The results from all semesters were very similar. Students using tablet PCs and the DyKnow system did not show better understanding of the subject than the students in the traditional classroom.
Tailored Molecular Imaging of Pheochromocytoma and Paraganglioma: Which Tracer and When

Pheochromocytoma (PCC) and paraganglioma (PGL) are rare neoplasms that fall within the category of neuroendocrine tumors. In the last decade, their diagnostic algorithm has been modified to include the evaluation of molecular pathways, genotype, and biochemical phenotype, in order to correctly interpret anatomical and functional imaging results and tailor the best therapeutic choices to patients. More specifically, the identification of germline mutations has led to a three-way cluster classification: pseudo-hypoxic cluster, cluster of kinase receptor signaling and protein translation pathways, and cluster of Wnt-altered pathway. In this context, functional imaging gained a crucial role in the management of these patients in agreement with the ever-growing concept of personalized medicine. In this paper, we provide an overview of three specific molecular pathways targeted by positron-emitting tracers to image PCCs and PGLs: catecholamine metabolism, somatostatin receptors, and glucose uptake. Finally, we recommend different flow charts for use in the selection of tracers for specific clinical scenarios, based on sporadic/inherited tumor and known/unknown mutation status.