Miracle-dz/UniFAR-FTUs huggingface dataset:
RANS Technology for Transonic Drag Prediction; A Boeing Perspective of the 4th Drag Prediction Workshop

The Common Research Model utilized by the fourth Drag Prediction Workshop was employed to investigate the accuracy of three primary codes used at Boeing for transonic aerodynamic ow analysis. The codes used in this study are CFL3D (block structured), OVERFLOW (overset structured), and BCFD (unstructured). Solutions were obtained for the wing-body con guration with the horizontal tail at incidence angles of 0◦, +2◦, −2◦ and with the tail removed. Grid convergence and resolution, mesh topology, and turbulence models were considered the primary factors in this study for accurate predictions of cruise drag, pitching moments, and Reynolds number e ects. Also, these factors were considered in wing and tail side-of-body ow separation predictions. In this study, all three cases (one required and two optional) were completed with all three codes. The solutions were obtained with the one-equation turbulence model of Spalart & Allmaras and the twoequation SST turbulence model of Menter. For the trim drag and Reynolds number e ect studies (optional cases), OVERFLOW and BCFD were run only with the Spalart-Allmaras turbulence model.
Impact of Gender on the Prevalence of Depression in the Population of Quetta, Pakistan

Background: Depression is one of the most prevalent and debilitating psychiatric disorders in the world. Women are more likely to suffer from depression compared with men. Aim: This study aimed to examine the prevalence of depression symptoms among the population and the relationships between gender and depressive symptoms along with severity level. Study Design: This was a cross-sectional study conducted from June 2020 to March 2021 in a different area of Quetta city. Methodology: A total of 502 participants (female 274, male 228) with ages ranging from 18 to 80 years. The study used Patient Health Questionnaires (PHQ-9) which are already validated (Cronbach’s alpha = 0.844) and available online, along with the questionnaire; certain demographic characteristics are also added to measure the symptoms of depression. SPSS Version 26. Mean, standard deviation, frequency, percentage, Chi-square test and Man Whitney U- test were applied for statistical analysis. Results: The results showed that 316 (63%) participants were reported having depressive symptoms. Of these 316 participants, 166 (33.1%) persons were suffering from mild, 87 (17.3%) from moderate, and 63 (12.6%) from severe depression symptoms out of all those who had symptoms of depression 195(61%) were female. Further it is disclosed that gender is statistically significant demographic characters that influence the prevalence of depression p < 0.01. Conclusion: Study concluded that gender had a significant role on depression and the increase number of females suggest that female having more depression as compare to males.
Biomechanical considerations in the design of equipment to prevent sports injury

The international market for sports equipment is enormous. One component of that market is explicitly equipment to prevent injury, and ideally all equipment should enable performance without causing injury. This paper will describe a biomechanical approach to the design of equipment to prevent sports injury. Elements in this approach include understanding and applying: injury risk management methods to set objectives; injury mechanisms; human tolerance to loads; range of sports loads (normal and abnormal); objectives of sport and sports skills; efficacy and effectiveness of current and past equipment; user expectations (usability, mass, aesthetics); standards requirements; setting performance objectives; identifying and testing materials; assessing materials and component testing; prototype testing; final product; and product evaluation and continuous control.
A quantitative study of higher education faculty self-assessments of technological, pedagogical, and content knowledge (TPaCK) and technology training

ii DEDICATION . iv LIST OF ABBREVIATIONS AND SYMBOLS . v ACKNOWLEDGMENTS. vi LIST OF TABLES. xii LIST OF FIGURES. xiii CHAPTER I: INTRODUCTION . 1 Statement of the Problem . 4 Purpose of the Study . 4 Significance of the Study . 5 Research Questions . 6 Methods. 6 Assumptions . 6 Limitations of the Study. 7 Delimitations of the Study . 8 Definition of Terms. 8 Organization of the Study . 11 Chapter Summary . 11 CHAPTER II: REVIEW OF RELATED LITERATURE . 13 Introduction to TPaCK . 13 viii Synthesis of TPaCK Investigations . 17 Promoting Good Teaching with Technology . 18 Perspectives on Teaching Support and Technology Integration. 25 Faculty Expectations and Preparation for Instructional Technology Use . 36 Review of High and Low Consensus (Educational) Disciplines in the Instructional Technology Era . 42 Faculty Members’ Cognitive Abilities with Technology . 47 Faculty Interest and Reward for using Technology . 51 Summary . 55 CHAPTER III: METHODOLOGY . 58 Sample. 58 Technology Training Environment . 60 Instrument . 61 Original Instrument Reliability . 62 Modified Instrument . 63 HE-TPaCK Validity . 66 HE-TPaCK Reliability . 67 Procedures . 68 Sample Size . 69 Data Analysis . 70 Assumptions of the Study . 71
Contents and Structure in Design Reasoning

s International, 36, 2689A (University Microfilms No. 75-25625). 11 A.T. Purcell, J.S. Gero, H.M. Edwards, and T. McNeill, "The Data in Design Protocols: The Issue of Data Coding," in N. Cross, H. Christiaans, and K. Dorst, eds., Analysing Design Activity (Chichester: John Wiley, 1996), 225-252. 12 J.S. Gero and T. McNeill, "An Approach to the Analysis of Design Protocols," Design Studies 19:1 (1998): 21-61. 13 Cross, Christiaans and Dorst,
The relationship between organisational culture and firm performance: an empirical study on Indonesian manufacturing firms

The impact of organisational culture on firm performance has been well documented. Previous studies on the impact of organisational culture derived from its national culture have been conducted in homogenous cultures. Little attention has been given to the impact of organisational culture derived from Indonesian culture on firm performance. Indonesia's subcultures may not be represented in the national culture. This study examines the impact of organisational culture on firm performance among Indonesia manufacturing firms. Results from 152 organisations confirm that organisational culture has significant effect on firm performance. Only individualism and uncertainty avoidance significantly impact firm performance. The implication is that, even in a country with many subcultures, firms' top management still need to pay attention to the impact of national culture at organisational level. Furthermore, since Indonesia has a very low score on individualism, managers need to create a conducive and rewarding environment for individuals to contribute.
Preliminary Investigation of Iron Acquisition in Hypervirulent Klebsiella pneumoniae Mediated by Outer Membrane Vesicles

Objective To investigate the role of outer membrane vesicles (OMVs) and related proteins in iron acquisition of hypervirulent Klebsiella pneumoniae (HVKP) and classic Klebsiella pneumoniae (cKP). Methods The OMVs of HVKP and cKP under iron-deficient and iron-sufficient media were extracted and purified by ultracentrifugation. Transmission electron microscopy (TEM) was used to identify OMVs. The quantitative proteomics were performed based on mass spectrometry. Results Four OMVs samples secreted by HVKP and cKP under iron-deficient and iron-sufficient environment were isolated and collected (HVKP OMVs under iron-deficient environment (A1), HVKP OMVs under iron-sufficient environment (A2), cKP OMVs under iron-deficient environment (B1), cKP OMVs under iron-sufficient environment (B2)). The amount of OMVs released by HVKP in iron-deficient medium was significantly larger than that in iron-sufficient medium (P < 0.05). HVKP secreted more OMVs than cKP in iron-deficient medium (P < 0.05). A total of 1074 kinds of proteins were identified in four samples. A comparison between the iron-deficient vs iron-sufficient environment showed that 61 proteins in HVKP OMVs were identified with a significant change in abundance under iron-deficient environment. Among them, 17 proteins were related to iron acquisition and transportation systems. While in cKP OMVs, 62 proteins significantly changed under iron-deficient environment in which 5 proteins were related to iron acquisition and transportation systems. Upon comparison of the HVKP vs cKP OMVs under iron deficiency, 81 proteins were detected with a significant change in which 8 proteins were related to iron acquisition and transportation systems. Conclusion Above all, the results of this study suggest a potential role for OMVs in iron acquisition of HVKP and provide evidence of potential connections between OMVs and strong iron-acquisition ability of HVKP during iron limitation.
Impacts of aerosols and climate modes on tropical cyclone frequency over the North Indian Ocean: a statistical link approach

North Indian Ocean (NIO) tropical cyclone activity is strongly influenced by aerosols and climate modes. In this study, we evaluated the impact of aerosols and climate modes on modulating tropical cyclone (TC) frequency over the NIO. A statistical generalized additive model based on Poisson regression was developed to assess their relative impacts. Aerosol Optical Depth for different compounds simulated by the Goddard Chemistry Aerosol Radiation and Transport model, Sunspot Number (SN) as solar variability, and eight climate modes—Atlantic Meridional Mode (AMM), El Niño Southern Oscillation (ENSO), North Atlantic Oscillation (NAO), Indian Ocean Dipole (IOD), Pacific Decadal Oscillation (PDO), Pacific-North American teleconnection pattern (PNA), Arctic Oscillation (AO), and Antarctic Oscillation (AAO), all based on reanalysis datasets, were analyzed for the 40-year period (1980–2019). A strong linkage was found between TC activity and the AMM, IOD and ENSO over the NIO. In addition, black carbon, organic carbon, sea salt and sulphate aerosols have a significant impact on the cyclone frequency. Among these factors, black carbon, organic carbon, sea salt and AMM account for the most variance of TCs, and among the other climate modes, IOD contributes more than ENSO. This is the first attempt to have identified this ranked set of aerosols and climate indices according to their relative ability to impact NIO TCs. Possible linkages between the thermodynamic and dynamic effects of aerosols on the Indian monsoon environment and its modifications to the large-scale environmental parameters relevant to TC development, namely, sea surface temperature, vertical wind shear, relative vorticity, and relative humidity during different phases of the climate modes are discussed.
Knowledge-Intensive HRM Systems and Performance of Knowledge-Intensive Teams: Mediating Role of Team Knowledge Processes

This study investigates whether and how knowledge-intensive HRM systems (KIHRS) impact the performance of knowledge-intensive teams (KITs). We integrate the ability-motivation-opportunity theory with the knowledge management literature to hypothesize that KIHRS affect KIT performance through team knowledge exploration and knowledge exploitation processes. A total of 543 responses (408 team members and 135 team leaders) from 135 KIT of 119 firms were collected in two waves with a time lag of 3 months. The findings indicate that KIHRS relate positively to KIT performance. Furthermore, team knowledge exploration and knowledge exploitation work in a sequence to mediate the relationship between KIHRS and KIT performance.
Lung Cancer Screening with Low-Dose CT: Radiation Risk and Benefit–Risk Assessment for Different Screening Scenarios

Lung cancer is a severe disease that affects predominantly smokers and represents a leading cause of cancer death in Europe. Recent meta-analyses of randomized controlled trials (RCTs) have yielded that low-dose computed tomography (LDCT) screening can significantly reduce lung cancer mortality in heavy smokers or ex-smokers by about 20% compared to a control group of persons who did not receive LDCT. This benefit must be weighed against adverse health effects associated with LDCT lung screening, in particular radiation risks. For this purpose, representative organ doses were determined for a volume CT dose index of 1 mGy that can be achieved on modern devices. Using these values, radiation risks were estimated for different screening scenarios by means of sex-, organ-, and age-dependent radio-epidemiologic models. In particular, the approach was adjusted to a Western European population. For an annual LDCT screening of (ex-)smokers aged between 50 and 75 years, the estimated radiation-related lifetime attributable risk to develop cancer is below 0.25% for women and about 0.1% for men. Assuming a mortality reduction of about 20% and taking only radiation risks into account, this screening scenario results in a benefit–risk ratio of about 10 for women and about 25 for men. These benefit–risk ratio estimates are based on the results of RCTs of the highest evidence level. To ensure that the benefit outweighs the radiation risk even in standard healthcare, strict conditions and requirements must be established for the entire screening process to achieve a quality level at least as high as that of the considered RCTs.
Online Learning and Students’ Mathematics Motivation, Self-Efficacy, and Anxiety in the “New Normal”

With the pandemic’s widespread effect, the “New Normal” in instruction in Philippine education embraces online learning. This study investigated the effect of online learning on students’ motivation, self-efficacy, and anxiety in mathematics. The study employed quasi-experimental research, specifically a one-group pre-post-test research design. Two adapted research questionnaires on mathematics motivation, self-efficacy, and anxiety were utilized. Results show that students’ mathematics motivation and self-efficacy have significantly decreased over the 6-week pilot test of synchronous online learning. Students’ anxiety remained “High” before and after the implementation, indicating fear and uncertainty of the new normal in instruction. Furthermore, results found that slow and unstable Internet connection, less motivation to do self-study, plenty of activities at home, and chores were some of the main reasons students got difficulties in learning the subject matter and adjusting to the “New Normal. ” Results imply the improvement of online learning processes, emphasizing government projects for faster Internet connectivity. Also, emphasis on engaging classroom activities, especially in mathematics, must be established, improving learners’ motivation and self-efficacy and decreasing anxiety.
What Influences Customer’s Trust on Online Social Network Sites (SNSs) Sellers?

Customer trust has been recognized as an essential part of the rising trend of social commerce. Lack of trust facilitates the hesitation of customers to shop online or to avoid them completely. Therefore, it is essential to implement and analyze a way of buyer-seller relationship establishment that will improve customers' trust. This paper aims to develop a trust model of Social Network Sites (SNSs) sellers, and to assess the dimensions and criteria that affects customer's trust on Online Social Network Sites (SNSs) sellers by using Analytic Hierarchy Process (AHP) approach. The study was carried out among those who have transactions with Malaysian online SNSs sellers at least every three months. The findings have indicated the top three influencing criteria: recommendation, transaction safety, and rating. This study provides insight into the customers' thoughts about placing trust on online SNSs sellers for selling and purchasing activities. Keywords—Online commerce; trust; social commerce; multicriteria decision–making
Symbol Detection Techniques in a Spatial Multiplexing System

Significant performance gains are achievable in wireless communication systems using aMulti-Input Multi-Output (MIMO) communications system employing multiple antennas. This architecture is suitable for higher data rate multimedia communications. One of the challenges in building a MIMO system is the tremendous processing power required at the receiver side. MIMO Symbol detection involves detecting symbol from a complex signal at the receiver. The existing MIMO detection techniques can be broadly divided into linear, non-linear and exact detection methods. Linear methods like Zero-Forcing offer low complexity with degraded Bit Error Rate (BER) performance as compared to non-linear methods like VBLAST. Non-linear detectors are computationaly not very expansive with acceptable performance. Exact solutions like Sphere Decoder provide optimal performance however it suffers from exponentional complexity under certain conditions. The focus in the early part of this thesis is on non-linear approximate MIMO detectors and an effort has been made to develop a low complexity near-optimal MIMO detector. Computational Swarm Intelligence based Meta-heuristics are applied for Symbol detection in a MIMO system. This approach is particularly attractive as Swarm Intelligence (SI) is well suited for physically realizable, real-time applications, where low complexity and fast convergence is of absolute importance. Application of Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) algorithms is studied. While an optimal Maximum Likelihood (ML) detection using an exhaustive search method is prohibitively complex, we show that the Swarm Intelligence optimized MIMO detection algorithms gives near-optimal Bit Error Rate (BER) performance fewer iterations, thereby reducing the ML computational complexity significantly. In the thesis novel non-conventional MIMO detection approaches based on Swarm-Intelligence techniques have been presented. An effective and practical way to enhance the capacity of MIMO wireless channels is to employ space-time (ST) coding. Space-time block coding (STBC) is a transmit diversity technique in which the data stream to be transmitted is encoded in blocks, which are distributed among multiple antennas and across time. Alamouti’s simple STBC scheme for wireless communication systems uses two transmit antennas and linear maximum-likelihood (ML) decoder. This system was generalized by Tarokh to an arbitrary number of transmit antennas by applying the theory of orthogonal designs. In the later part of this thesis a simple multi-step constellation reduction technique based decoding algorithm that further simplifies the linear ML detection in Orthogonal Space-Time Block Coded systems is proposed This approach reduces the computational complexity of these schemes while presenting the ML performance.In addition, Spatial Multiplexing systems using Orthogonal Walsh codes are also studied. This approach has a potential to reduce the search space to allow efficient symbols detection in Spatial Multiplexing systems.
A Case of Recurrent Massive Secondary Postpartum Haemorrhage following Caesarean Section Due to the Eroded Left Uterine Artery Sealed by Laparoscopic Bipolar Coagulation

Background: Recurrent massive secondary postpartum haemorrhage (PPH) due to uterine wound dehiscence with uterine artery erosion following LSCS causes management challenges. Case: Primiparous of 26 years had three recurrent episodes of severe PPH within 37 days after LSCS. Hysteroscopy visualized features of uterine scar dehiscence on the left angle side and excluded other causes of PPH after the 2nd episode on the 24th day and found bleeding through the wound gap. Laparoscopy after 3rd episode on 37th day revealed bleeding eroded left uterine artery. Bipolar coagulation of the left uterine artery sealed bleeding and conserved the uterus. Conclusion: Recurrent massive PPH may occur from uterine artery erosion following LSCS scar dehiscence. Abdominal sonography, a quick hysteronscopy, and an emergency laparoscopic bipolar seal of the eroded uterine artery can serve the purpose of minimally invasive surgery in a stable patient.
Quantification of the Potential Health and Environmental Impacts of Active Travel in Dublin, Ireland

Many European cities are becoming increasingly dependent on motorized transportation, with impacts ranging from traffic congestion and greenhouse gas emissions to sedentary lifestyles and an increased risk of noncommunicable diseases. The promotion of active modes of travel in urban environments has the potential to mitigate the external costs of motorized transportation and improve the physical and mental well-being of transport users. The present study considered a modal shift to active travel in commuter trips in Dublin, Ireland, and quantified the resultant benefits and detriments to individual transport users and to society. The total impact was found to be strongly positive: the health benefits of increased physical activity dominated the individual benefits, and reductions in noise and congestion were the most significant external benefits. The benefits were partially offset by an increase in the cost of road traffic injuries, particularly nonfatal cyclist injuries. Women, and to a lesser extent men, in the age group 25 to 34 years old were identified as those who made the most driving trips that could be taken on foot or bicycle instead. Although some uncertainties remained, these results made a strong case for policies and investments that make cycling and walking in cities more attractive to alleviate the environmental damage caused by urban transportation and to improve public health.
Multi-Agent Trajectory Prediction With Heterogeneous Edge-Enhanced Graph Attention Network

Simultaneous trajectory prediction for multiple heterogeneous traffic participants is essential for safe and efficient operation of connected automated vehicles under complex driving situations. Two main challenges for this task are to handle the varying number of heterogeneous target agents and jointly consider multiple factors that would affect their future motions. This is because different kinds of agents have different motion patterns, and their behaviors are jointly affected by their individual dynamics, their interactions with surrounding agents, as well as the traffic infrastructures. A trajectory prediction method handling these challenges will benefit the downstream decision-making and planning modules of autonomous vehicles. To meet these challenges, we propose a three-channel framework together with a novel Heterogeneous Edge-enhanced graph ATtention network (HEAT). Our framework is able to deal with the heterogeneity of the target agents and traffic participants involved. Specifically, agents’ dynamics are extracted from their historical states using type-specific encoders. The inter-agent interactions are represented with a directed edge-featured heterogeneous graph and processed by the designed HEAT network to extract interaction features. Besides, the map features are shared across all agents by introducing a selective gate-mechanism. And finally, the trajectories of multiple agents are predicted simultaneously. Validations using both urban and highway driving datasets show that the proposed model can realize simultaneous trajectory predictions for multiple agents under complex traffic situations, and achieve state-of-the-art performance with respect to prediction accuracy. The achieved final displacement error (FDE@3sec) is 0.66 meter under urban driving, demonstrating the feasibility and effectiveness of the proposed approach.