Miracle-dz/UniFAR-FTUs huggingface dataset:
Panic Attack Prediction Using Wearable Devices and Machine Learning: Development and Cohort Study

Background A panic attack (PA) is an intense form of anxiety accompanied by multiple somatic presentations, leading to frequent emergency department visits and impairing the quality of life. A prediction model for PAs could help clinicians and patients monitor, control, and carry out early intervention for recurrent PAs, enabling more personalized treatment for panic disorder (PD). Objective This study aims to provide a 7-day PA prediction model and determine the relationship between a future PA and various features, including physiological factors, anxiety and depressive factors, and the air quality index (AQI). Methods We enrolled 59 participants with PD (Diagnostic and Statistical Manual of Mental Disorders, 5th edition, and the Mini International Neuropsychiatric Interview). Participants used smartwatches (Garmin Vívosmart 4) and mobile apps to collect their sleep, heart rate (HR), activity level, anxiety, and depression scores (Beck Depression Inventory [BDI], Beck Anxiety Inventory [BAI], State-Trait Anxiety Inventory state anxiety [STAI-S], State-Trait Anxiety Inventory trait anxiety [STAI-T], and Panic Disorder Severity Scale Self-Report) in their real life for a duration of 1 year. We also included AQIs from open data. To analyze these data, our team used 6 machine learning methods: random forests, decision trees, linear discriminant analysis, adaptive boosting, extreme gradient boosting, and regularized greedy forests. Results For 7-day PA predictions, the random forest produced the best prediction rate. Overall, the accuracy of the test set was 67.4%-81.3% for different machine learning algorithms. The most critical variables in the model were questionnaire and physiological features, such as the BAI, BDI, STAI, MINI, average HR, resting HR, and deep sleep duration. Conclusions It is possible to predict PAs using a combination of data from questionnaires and physiological and environmental data.
Developing and validating an instrument for measuring m-commerce adoption: an exploratory analysis

Mobile Commerce, also known as, M-commerce is thought to be the next big phase in this technologically dependent society after E-commerce era. However, its adoption and level of use is low in Malaysia compared to others nations such as Korea, Singapore, and Japan. This study aims to identify some factors that affect the adoption of M-commerce in Malaysia based on traditional technology models such as Theory of Reason Action (TRA), Theory of Planned Behavior (TPB), Technology Acceptance Model (TAM) and Diffusion Innovation theory (DOI). In this research, an exploratory factor analysis was conducted on different measures to identify the underlying factors influencing the adoption of M-commerce. The findings revealed that all the thirteen (13) factors were statistically significant and can affect the adoption of m-commerce.
Research on the Key Technology of Preparation of Ginkgo Biloba, Momordica Charantia and Chitosan Oral Liquid

Ginkgo biloba L. belongs to Ginkgoaceae and they are deciduous trees. It is the oldest relic plant left after the quaternary glaciation. It is one of the few plants that have maintained the ecological characteristics of 200 million years ago and survives, so it is called “living fossil”. The chemical constituents of Ginkgo biloba are various, including flavonoids, terpenoids, alkaloids, phenols, polyisoprenols, etc.
Planning sophistication and planning commitment by entrepreneurs in the phase of their business start up

The question: "why some entrepreneurs become successful and others fail? " is a question that many researchers hold for many years (Markman & Baron, 2003). Entrepreneurship consists of many facets which could predict the likability for future entrepreneurial success. One of these facets entrepreneurs are coping with is the way how they execute their steps in pursuing their goals. For this study the focus is on the planning behavior of entrepreneurs who participate in a living lab setting created by Venturelab. Especially the sophistication and the commitment towards that planning is here of interest. Some entrepreneurs don't plan too much and keep their ideas in mind, where others refine their actions in order to obtain their pre-selected goals. Also the aspect of the difference between stating actions and actual carry out those actions is considered to be an important indicator to be able to define the effect planning has on performance. For this study we measured performance based on the judgment that is composed by the rating scheme of Frei (2004) and is rated by an expert panel. The central question for this study is: Does planning sophistication contribute towards better future performance in new venture start-ups when entrepreneurs commit themselves to their planning? This study has shown that the sophistication of planning does not significantly show a linear regression with the likeliness of future performance. From theory we know that planning consist of two mainstreams; Structure and Content. When we look only at the sophistication of the structure of the planning and the relation to the likeliness of future performance , no significance in the linear regression between these constructs has shown . Also, when we only take the sophistication of the content of planning in consideration in relation to the likeliness of future performance no significance has shown. This means that the sophistication of planning is not a good indicators for the likeliness of future performance by entrepreneurs who participate in the business development program. The strongest and probably the only claim for this study is that the commitment towards earlier stated planning showed significant results regarding the linear regression between planning commitment and the likeliness to future performance by entrepreneurs. The conclusion here is, based on the results shown in this study, that entrepreneurs need to control for committing themselves to their earlier stated planning in order to obtain a higher probability on the likeliness to perform better in respect to those who do not commit themselves to their earlier stated planning.
Mycoprotein: origins, production and properties

Abstract: This chapter reviews the origins of mycoprotein and its use in creating meat-free products sold under the Quorn™ brand. Production of mycoprotein by fermentation is outlined together with the process for the conversion of harvested mycoprotein into meat-like textures. The underpinning science behind the creation of meat-like texture from mycoprotein is then reviewed together with nutritional properties and clinical research into the way that a diet rich in mycoprotein can impact on public health issues of heart health and obesity. Finally, emerging evidence is presented that shows how the conversion of starch into mycoprotein is environmentally more benign when compared with animal protein, and thus how the original 1964 vision of creating a new protein to address food security may be coming full circle.
No Choice Is the “Right” Choice: Black Parents’ Educational Decision-Making in Their Search for a “Good” School

In this article, Linn Posey-Maddox, Maxine McKinney de Royston, Alea R. Holman, Raquel M. Rall, and Rachel A. Johnson examine Black parents’ educational decision-making in the racial and educational contexts of predominantly white suburban districts, majority-Black urban schools with an Afrocentric focus, and racially diverse urban public and private schools. Undertaking a qualitative meta-analysis, they ask, How and why is anti-Black racism salient in Black parents’ educational decision-making around schooling? Their findings reveal that race and anti-Black racism are central to Black parents’ school choice decisions. Specifically, they shape the trade-offs parents made in choosing a school for their child(ren), their ongoing risk assessments regarding the potential for racialized harm in their child(ren)’s schooling, and their continuous decision-making about whether to keep their child enrolled or move them to a different school. Regardless of geography, school type, grade level, and/or social class, race and anti-Black racism shape Black parents’ educational decision-making as they work to ensure that their child(ren) receive a high-quality education within highly racialized schooling contexts.
The Education of a Speculator

Brighton Beach Training. Panics and Hoodoos. Delphic Oracles and Science. Losses, Comebacks, Trends, and the Weather. Winning and Self-Reliance. The Nature of Games. Essential Board Games. Gambling the Vig. Horse Racing and Market Cycles. Deception and Charts. Sex. Returns and Randomness: Academic Style. Connections to Monitor. Music and Counting. The Ecology of Markets. Finale. Notes. Select Bibliography. Index.
An Intelligent Feature Selection using Archimedes Optimization algorithm for Facial Analysis

Human facial analysis (HFA) has recently become an attractive topic for computer vision research due to the technological progress and the increase of mobile applications. HFA explores several issues as gender recognition, facial expression, age, and race recognition for automatically understanding social life. In addition, the development of several algorithms inspired by swarm intelligence, biological inspiration, and physical/mathematical rules allow giving another dimension of feature selection in the field of machine learning and computer vision. This paper develops a novel wrapper feature selection method for gender recognition using the Archimedes optimization algorithm (AOA). The paper's primary purpose is to automatically determine the optimal face area using AOA to recognize the gender of a human person categorized by two classes (Men and women). In this paper, the facial image is divided into several sub-regions (blocks), where each area provides a vector of characteristics using one method from handcrafted techniques as the local binary pattern (LBP), histogram oriented gradient (HOG), or Grey level co-occurrence matrix (GLCM). The proposed method (AOA) is assessed on two publicly datasets: Georgia Tech Face dataset (GT) and the Brazilian FEI dataset. The experimental results show a good performance of AOA compared to other recent and competitive optimizers as Sine cosine algorithm (SCA), Henry Gas Solubility Optimization (HGSO), Equilibrium Optimizer (EO), Emperor Penguin Optimizer (EPO), Harris Hawks Optimize (HHO), Multi-verse Optimizer (MVO) and Manta-ray Foraging Optimizer (MRFO) in terms of accuracy and the number of the selected area.
Turbulent structures in smooth and rough open channel flows: effect of depth

In this thesis, detailed experiments are performed to study the effect of the flow depth on turbulent structures in smooth and rough bed open channel flow. When the rough bed is introduced in the shallow flow, the local turbulence near the roughness element intensifies and becomes highly heterogeneous. The model roughness under study consists of a train of two dimensional square ribs spanning the whole length of the channel. The height of the ribs (k) occupy 10-15% of the depth of flow (d) and falls in the category of large roughness. Velocity measurements were conducted using laser Doppler velocimetry (LDV) and particle image velocimetry (PIV) systems. While on the smooth bed, mean velocity scaling in the classical logarithmic format was confirmed from the present experiments, for the deep-flow cases, turbulence quantities were found to be influenced by the free surface. A modified length scale based on a region of constant turbulence intensity is proposed to account for the effect of the free surface. Two-dimensional PIV measurements were made in the streamwise-wall normal plane of the smooth open channel flow at d = 0.10 m and Red = 21,000 to further study the influence of the free surface on the turbulent structures. Proper orthogonal decomposition (POD) and swirling strength analysis were employed to investigate the structures present in the flow. Analysis of the POD reconstructed velocity fields reveals the presence of large-scale energetic structures near the free surface.
Constraining the Body for Better Force-Tracking Analysis

My work has two goals: to develop a method capable of comfortably isolating a single group of muscles to improve in vivo human muscle testing and to investigate how well humans can track target force profiles. I designed, built, and tested a system for isolating leg-extensor muscles (muscles that lift the lower leg) and for measuring knee extension forces during an interactive tracking experiment featuring computer feedback. The chair was designed to isolate the leg-extensor muscle and to eliminate movement by forming rigid connections to the body. When properly constrained in the chair, the maximum movement observed during “fixed” leg angle experiments was a leg rotation of 1. In the first force-tracking experiments, the test subject tracked a periodic target force function at a fixed leg angle. In the second experiments, the subject attempted to match a constant, ramp, or sine wave force profile as her leg angle was being oscillated from 90 to 120 by a motor. Target wave frequencies for the fixed-angle experiments were 0.10 Hz, 0.25 Hz, 0.50 Hz, 1.00 Hz, and 2.00 Hz; for variable-angle experiments: 0.25 Hz, 0.50 Hz, or 1.00 Hz. Among fixed-angle tests, the lowest RMS error was 4.12%, and the highest was 23.86%. The best variable angle result, obtained while tracking a constant force, was 9.06%. Error was considerably lower for fixed-angle experiments than it was for variable-angle experiments–the lowest measured error in variable-angle tests was similar to the highest error in fixed-angle tests. Results generally improved with increasing target force magnitude and worsened with increasing target and forcing frequency. For fixed-angle tests, conducting additional tests improved accuracy but not precision; the opposite was true for variable-angle tests.
An epidemiological analysis of a university threat assessment team case load

Recommended Citation Cao, Yanyan. "An epidemiological analysis of a university threat assessment team case load. " MS ACKNOWLEDGEMENTS Foremost, I would like to show my sincere gratitude to my advisor Professor Corinne Peek-Asa for her support of my M.S. study and research, and the whole creation of this thesis project. Her knowledge and guidance helped me in all the time of research and writing this thesis. In addition to my advisor, I would like to thank Professor Jingzhen (Ginger) Yang for her unselfish help and encouragement throughout this project. I also want to thank Professor Marizen Ramirez for insightful comments. Special thanks go to Threat Assessment Team of the University of Iowa for their help to obtain the data set to finish my thesis research. I also appreciated the help from Ms. Tracy Young. I would like to thank my family members, especially my husband, Wei Xie, and my son Edmund Z. Xie for their love and supporting to pursue this degree.
Designing English Enrichment Program for Vietnamese Students under the Assessment Standards of Aptis Certificate

Developing a framework to assess students‟ English proficiency is a major issue which many countries pay much attention. This assessment is used to identify English competence of learners and help universities design suitable programs. Read (2016) defined the primary goal of English assessment is to provide feedback to students and teachers for enhancing students‟ English and learning outcomes at academic institutions. Similarly, Tyler (1949) mentioned that the basic principles of developing a curriculum is to help the students to understand problems and know how to solve it properly. In fact, the development of framework for assessing English proficiency cannot be ignored by administrators and teachers at institutions.
White Paper: The identification of XML-related skills gaps in the aerospace & defence industry in the West Focus region

The aerospace and defence sectors are subject to mandatory compliance involving XML standards, especially in the content and management of classified documents. Such companies are well represented in the West Focus region and this is an area where Government and industry have identified burgeoning computing skills shortages, partly because the lower, less skilled end of the software and associated ICT sector is increasingly outsourced to India and other countries. Thus West Focus/Kingston University set a survey & study in motion aimed at identifying skills gaps in this sector which will enable us to propose a strategy as to how any skills gaps discovered could be addressed.
The structure of turbulent flow behind the NACA 0012 airfoil at high angles of attack and low Reynolds number

This paper shows the results of a study of the turbulent structure behind the NACA 0012 airfoil. During the experiment, the flow velocity was 20 m·s−1. That corresponds the Reynolds number 1.3·105. The point behind the trailing edge was chosen for experimental studies. Measurements were performed at six angles of attack α = 0°, 15°, 30°, 45°, 60°, 75° and various cases of positioning the measuring section. Namely at a constant crosssection and a constant distance behind the airfoil. The NetScanner pressure system and hot-wire technique were used for experimental studies. The obtained data allowed us to investigate the wake topology. The average velocity and standard deviation distributions are clearly grouped depending on the angle of attack. Thus, flowing around the airfoil is better up to α ≤15°. Distributions by power density and dissipation spectra also have a similar grouping tendency. Finally, we investigated the turbulent structure according to the research program. We found that at α ≥45°, depending on the measurement case, there is a clear difference in the distribution of standard deviation, Eulerian length scale, Taylor micro-scale, and Reynolds number based on the Taylor micro-scale. The obtained values at the constant distance, in contrast to the constant cross-section, are reduced.
Pancreatic Tumor Segmentation Based on Optimized K-Means Clustering and Saliency Map Model

Segmentation of positron emission tomography (PET) plays a major role in research and clinical applications. The segmentation of pancreatic tumors using PET / CT is challenging due to a significant amount of noise that may result in serious segmentation inaccuracies. The evaluation of the results of segmentation in medical imaging is due to the presence of a gold standard. Therefore, the performance evaluation of these methods would be necessary. This paper suggested a new object segmentation method that is based on K-means clustering with Saliency Maps. The K-means clustering approach restricts every pixel of the image that belongs to a single cluster. One drawback with using the K-means algorithm to segment objects is that segments are not connected and can be widely scattered. It is known that using saliency region, the approximate location of the desired object in the map can easily be identified. In this proposed method, the saliency map is used to distinguish the desired object cluster from the image from the background cluster, and then, to map the object clusters together Experimental results shows that the proposed algorithm outperforms dramatically in terms of visual plausibility and computational cost compared to state-of - the-art methods and achieves excellent performance for object segmentation.
Exploring Software Resilience

Software has, for better or worse, become a core component in the structured management and manipulation of vast quantitates of information, and is therefore central to many crucial services and infrastructures. However, hidden among the various benefits that the inclusion of software may bring is the potential of unwanted and unforeseen interactions, ranging from mere annoyances all the way up to full-blown catastrophes. Overcoming adversities of this nature is a challenge shared with other engineering ventures, and there are many developed strategies that work towards eliminating various kinds of disturbances, assuming that it is possible to apply such strategies correctly. One approach in this regard, is to accept some anomalous behaviors as mere facts of life and make sure that the situations experienced are dealt with in an expeditious manner, while at the same time trying to discover, implement and improve safe-guards that can lessen adverse consequences in the event of future problems; in short, to embed resilience. The work described in this thesis explores the foundations of software resilience, and thus covers the main resilience-enabling mechanisms, along with supporting tools, techniques and methods used to embed resilience. These instruments are dissected and analyzed from the perspective of stakeholders that have to operate on pre-existing, critical, large and heterogeneous subjects that are to some extent already up and running at the point of instrumentation. Finally, in the course of describing this subject, the thesis describes a demonstrator environment for self-healing activities in a partially damaged power grid, its construction details and the initial results of the study conducted in this environment.
External Verification of SCADA System Embedded Controller Firmware

Abstract : Critical infrastructures such as oil and gas pipelines, the electric power grid, and railways, rely on the proper operation of supervisory control and data acquisition (SCADA) systems. Current SCADA systems, however, do not have sufficient tailored electronic security solutions. Solutions available are developed primarily for information technology (IT) systems. Indeed, the toolkit for SCADA incident prevention and response is unavailing as the operating parameters associated with SCADA systems are different from IT systems. The unique environment necessitates tailored solutions. Consider the programmable logic controllers (PLCs) that directly connect to end physical systems for control and monitoring of operating parameters -- the compromise of a PLC could result in devastating physical consequences. Yet PLCs remain particularly vulnerable due to a lack of firmware auditing capabilities. This research presents a tool we developed specifically for the SCADA environment to verify PLC firmware. The tool does not require any modifications to the SCADA system and can be implemented on a variety of systems and platforms. The tool captures serial data during firmware uploads and then verifies them against a known good firmware baseline. Attempts to inject modified and/or malicious firmware are identified by the tool. Additionally, the tool can replay and analyze captured data by emulating a PLC during firmware upload. The emulation capability enables verification of the firmware upload from an interface computer without requiring modifications to or interactions with the operational SCADA system. The ability to isolate the tool from production systems and verify the validity of firmware makes the tool a viable application for SCADA incident response teams and security engineers.
XSS Attacks: Cross Site Scripting Exploits and Defense

Cross Site Scripting Attacks starts by defining the terms and laying out the ground work. It assumes that the reader is familiar with basic web programming (HTML) and JavaScript. First it discusses the concepts, methodology, and technology that makes XSS a valid concern. It then moves into the various types of XSS attacks, how they are implemented, used, and abused. After XSS is thoroughly explored, the next part provides examples of XSS malware and demonstrates real cases where XSS is a dangerous risk that exposes internet users to remote access, sensitive data theft, and monetary losses. Finally, the book closes by examining the ways developers can avoid XSS vulnerabilities in their web applications, and how users can avoid becoming a victim. The audience is web developers, security practitioners, and managers. *XSS Vulnerabilities exist in 8 out of 10 Web sites *The authors of this book are the undisputed industry leading authorities *Contains independent, bleeding edge research, code listings and exploits that can not be found anywhere else