Miracle-dz/UniFAR-FTUs huggingface dataset:
Anticipatory Muscle Responses for Transitioning Between Rigid Surface and Surfaces of Different Compliance: Towards Smart Ankle-foot Prostheses

Locomotion is of prime importance in enabling human beings to effectively respond in space and time to meet different needs. Approximately 2 million Americans live with an amputation with most of those amputations being of the lower limbs. To advance current state-of-the-art lower limb prosthetic devices, it is necessary to adapt performance at a level of intelligence seen in human walking. As such, this thesis focuses on the mechanisms involved during human walking, while transitioning from rigid to compliant surfaces such as from pavement to sand, grass or granular media. Utilizing a unique tool, the Variable Stiffness Treadmill (VST), as the platform for human walking, rigid to compliant surface transitions are simulated. The analysis of muscular activation during the transition from rigid to different compliant surfaces reveals specific anticipatory muscle activation that precedes stepping on a compliant surface. There is also an indication of varying responses for different surface stiffness levels. This response is observed across subjects. Results obtained are novel and useful in establishing a framework for implementing control algorithm parameters to improve powered ankle prosthesis. With this, it is possible for the prosthesis to adapt to a new surface and therefore resulting in a more robust smart powered lower limb prosthesis.
ASIC-based batteryless implantable telemetry microsystem for recording purposes

This paper presents an implantable batteryless telemetric microsystem for EMG recording, based on a single 30 mm/sup 2/ high-voltage 2.5 /spl mu/m BiCMOS ASIC, which includes telemetric and two-channels recording circuits. It has been developed within the framework of an European project, where this device is implanted in rabbits for research studies related to control of prosthesis through muscular biosignals. Power is transferred with a 10 MHz inductive link using an efficient Class-E driver. Data is transmitted bi-directionally reaching elevate bit-rates. Microimplant volume is about 1 cm/sup 3/ (including power and transmitter coil) with an overall current consumption of 4,5 mA. Despite problems detected with the EMG recording circuitry a functional transcutaneous batteryless implantable telemetric system has been achieved successfully. Power and digital data communication results are presented through in-vitro and in-vivo experiments (in rabbits).
Evaluation of the impact the food N_Acetylcystein on prevention of acute renal failure in patients with chronic renal failure undergoing coronary bypass surgery

Acute renal failure (ARF) is a syndrome of sudden decrease in Glomerular filtration is the general definition of waste in the body leads to retention. This definition only includes a range of clinical situations. To encompass the full spectrum of the syndrome of acute kidney injury (AKI) has been proposed. The main objective of this study is whether the preventive use of NAC in preventing AKI after cardiac surgery in patients with chronic kidney disease are at the same time or not? So check the effect of oral N-acetylcysteine on the prevention of acute renal failure in patients with chronic renal failure undergoing coronary bypass surgery seem to be logical and useful. Results from this study can identify the possible side effects to NAC. Prove the effectiveness of oral NAC in the prevention of acute renal failure in patients with chronic renal failure undergoing coronary bypass surgery can study the use of NAC to the anesthesiologist and the surgeon can offer. (A. Ebadi, M. Deghani, M. Soltanzade, A. Ghorban, Sh. Nasionpour, R. Akhondzadeh, K. Behaien, Sabori. Evaluation of the impact the food N_Acetylcystein on prevention of acute renal failure in patients with chronic renal failure undergoing coronary bypass surgery. J Am Sci. 2012;8(5):233-237). (ISSN: 1545-1003). http://www.americanscience. org . 30
VIDEO FOREGROUND LOCALIZATION FROM TRADITIONAL METHODS TO DEEP LEARNING

These days, detection of Visual Attention Regions (VAR), such as moving objects has become an integral part of many Computer Vision applications, viz. pattern recognition, object detection and classification, video surveillance, autonomous driving, human-machine interaction (HMI), and so forth. The moving object identification using bounding boxes has matured to the level of localizing the objects along their rigid borders and the process is called foreground localization (FGL). Over the decades, many image segmentation methodologies have been well studied, devised, and extended to suit the video FGL. Despite that, still, the problem of video foreground (FG) segmentation remains an intriguing task yet appealing due to its ill-posed nature and myriad of applications. Maintaining spatial and temporal coherence, particularly at object boundaries, persists challenging, and computationally burdensome. It even gets harder when the background possesses dynamic nature, like swaying tree branches or shimmering water body, and illumination variations, shadows cast by the moving objects, or when the video sequences have jittery frames caused by vibrating or unstable camera mounts on a surveillance post or moving robot. At the same time, in the analysis of traffic flow or human activity, the performance of an intelligent system substantially depends on its robustness of localizing the VAR, i.e., the FG. To this end, the natural question arises as what is the best way to deal with these challenges? Thus, the goal of this thesis is to investigate plausible real-time performant implementations from traditional approaches to modern-day deep learning (DL) models for FGL that can be applicable to many video content-aware applications (VCAA). It focuses mainly on improving existing methodologies through harnessing multimodal spatial and temporal cues for a delineated FGL. The first part of the dissertation is dedicated for enhancing conventional sample-based and Gaussian mixture model (GMM)-based video FGL using probability mass function (PMF), temporal median filtering, and fusing CIEDE2000 color similarity, color distortion, and illumination measures, and picking an appropriate adaptive threshold to extract the FG pixels. The subjective and objective evaluations are done to show the improvements over a number of similar conventional methods.
Fault-tolerant flight tracking control with stuck faults

This paper is concerned with the problem of flight tracking control in the presence of stuck-actuator faults. A stuck fault is modeled as a bounded input, and its effect on the closed-loop system is described by a peak-to-peak gain. A fault-tolerant flight controller design method is developed based on the H/sub /spl infin// and peak-to-peak gain performance indexes in a multiobjective optimization setting, and the proposed iterative LMI-based algorithm is shown to have some convergence properties. The design is such that the nominal performance of the resultant closed-loop system is optimized subject to the requirement that all the closed-loop systems corresponding to different fault modes have acceptable performances.
KHK & Schlafbezogene Atmungsstörungen

Die koronare Herzkrankheit (KHK) ist eine der häufigsten Erkrankungen in den Industrienationen. Trotz enormer medizinischer Fortschritte zählt sie zu den häufigsten Todesursachen. Die schlafbezogene Atmungsstörung (SBAS) wird bereits seit längerer Zeit ebenfalls mit einem erhöhten kardiovaskulären Risiko in Verbindung gebracht. Da die SBAS in den meisten Fällen erfolgreich behandelt werden kann, könnte dies ein weiterer Baustein in der Therapie der KHK sein.
Introducing Preservice STEM Teachers to Computer Science: A Narrative of Theoretically Oriented Design

of CS education can be tied to discourses of justice and liberation. Rather than accepting the status quo of the dominant approach to CS education, which focuses on developing students’ knowledge, skills, and understanding of CS in the context of career-readiness, this paper takes the view that CS can be used as a tool for emancipatory learning (Freire, 2000), where students are empowered with agency to engage in critical thought about the world around them. This paper narrates the process of designing a curricular unit that serves to introduce preservice science, technology, engineering, and mathematics (STEM) teachers to computer science (CS) education. Unlike most literature that focuses on results and findings, this paper explains how a justice-centered approach to CS education informed decisions about the theoretical underpinnings of curricular design choices. Situated in issues related to the gentrification of Austin, Texas, the described curricular unit explores how the increased use of CS and growth of the technology sector are having a direct impact on the historically marginalized residents of East Austin. Connected by a theme that maps are both a form of data visualization and political artifact, the described curricular unit uses CS as a tool to: critique the macro-ethics of politics and society; provide a CS learning environment that can be responsive to the multiple social identities of students; and connect CS to larger struggles for justice and liberation.
Design of DSP instructions and their hardware architecture for a Reed-Solomon codec

This paper presents new DSP (digital signal processor) instructions and their hardware architecture to implement efficiently RS (Reed-Solomon) encoding and decoding, which is one of the most widely used FEC (Forward Error Control) algorithms. The proposed DSP architecture can implement various programmable primitive polynomials, and thus, hardwired RS codecs can be replaced. The new instructions and their hardware architecture perform GF (Galois field) operations using the proposed GF multiplier and adder. Therefore, the proposed DSP architecture can significantly reduce the number of clock cycles compared with existing DSP chips. It can perform RS decoding at a rate of up to 175.5 Mbps on 100 MHz DSP chips.
Subband Adaptive Filtering Theory and Implementation

Description: Subband adaptive filtering is rapidly becoming one of the most effective techniques for reducing computational complexity and improving the convergence rate of algorithms in adaptive signal processing applications. This book provides an introductory, yet extensive guide on the theory of various subband adaptive filtering techniques. For beginners, the authors discuss the basic principles that underlie the design and implementation of subband adaptive filters. For advanced readers, a comprehensive coverage of recent developments, such as multiband tap–weight adaptation, delayless architectures, and filter–bank design methods for reducing band–edge effects are included. Several analysis techniques and complexity evaluation are also introduced in this book to provide better understanding of subband adaptive filtering. This book bridges the gaps between the mixed–domain natures of subband adaptive filtering techniques and provides enough depth to the material augmented by many MATLAB® functions and examples. Key Features:-Acts as a timely introduction for researchers, graduate students and engineers who want to design and deploy subband adaptive filters in their research and applications. -Bridges the gaps between two distinct domains: adaptive filter theory and multirate signal processing. -Uses a practical approach through MATLAB®-based source programs on the accompanying CD. -Includes more than 100 M-files, allowing readers to modify the code for different algorithms and applications and to gain more insight into the theory and concepts of subband adaptive filters. Subband Adaptive Filtering is aimed primarily at practicing engineers, as well as senior undergraduate and graduate students. It will also be of interest to researchers, technical managers, and computer scientists.
General practitioner networks matter in primary health care team service provision

Australia is undergoing significant primary health care policy reforms in response to concerns about quality of care, increasing burden of complex and chronic diseases, and workforce shortages. Governments are encouraging multidisciplinary teamwork between general practitioners (GP) and other primary health care service providers. Essential elements of teamwork have been addressed in policy initiatives, yet important dimensions of the way GP develop and use their work-related relationships in their practice remain unrecognised. This paper draws upon a doctoral thesis that explored the types and the qualities of GP work-related relationships. A qualitative research methodology combined with a relational perspective was used. Data were collected from a pilot, main and a validation study. Fifty interviews were conducted, including: GP, clinic staff, service providers, support organisation personnel and policymakers. A complex web of interdependent work-related relationships exist between GP and other health care providers. Four main types of GP work-related relationships emerged: clinical problem solving, obtaining metaknowledge, obtaining legitimisation, and validation. Key qualities of GP work-related relationships included the nominated providers’ competence, accessibility, goodwill, honesty, consistency and communication styles. A validation study verified research findings. The research provides evidence that the nature of GP work-related relationships have implications for other practitioners who need to work with GP. The findings challenge the current primary health care policy emphasis on using structural reforms such as prescribed service delivery processes and financial incentives to encourage teamwork.
Stand-by/active mode logic for sub-1 V 1 G/4 Gb DRAMs

A new stand-by/active mode Logic I,II has been developed for the future 1G/4Gb DRAMs. The proposed Logic I, II can achieve sub-1V supply voltage operation with small l /spl mu/A subthreshold leakage current during stand-by cycle, by allowance of 1 mA transistor leakage current during the active cycle. The gate delay of Logic I is reduced by 37%-30% with the optimized channel widths for Vcc=O.8-1.5 V, as compared with that of the conventional logic. The gate delay of Logic II is also reduced by 85%-40% as compared with that of the conventional logic at Vcc=0.8-1.5 V. The proposed Logic I.II are easily applicable not only to 1G/4Gb DRAMs but also other types of memories such as SRAM and battery-operated memories.
Multiple‐Instance Superparameterization: 1. Concept, and Predictability of Precipitation

We have investigated the predictability of precipitation using a new configuration of the superparameterized Community Atmosphere Model (SP‐CAM). The new configuration, called the multiple‐instance SP‐CAM, or MP‐CAM, uses the average heating and drying rates from 10 independent two‐dimensional cloud‐permitting models (CPMs) in each grid column of the global model, instead of a single CPM. The 10 CPMs start from slightly different initial conditions and simulate alternative realizations of the convective cloud systems. By analyzing the ensemble of possible realizations, we can study the predictability of the cloud systems and identify the weather regimes and physical mechanisms associated with chaotic convection. We explore alternative methods for quantifying the predictability of precipitation. Our results show that unpredictable precipitation occurs when the simulated atmospheric state is close to critical points as defined by Peters and Neelin (2006, https://doi.org/10.1038/nphys314). The predictability of precipitation is also influenced by the convective available potential energy and the degree of mesoscale organization. It is strongly controlled by the large‐scale circulation. A companion paper compares the global atmospheric circulations simulated by SP‐CAM and MP‐CAM.
Pharmacogenomic clinical decision support design and multi-site process outcomes analysis in the eMERGE Network

To better understand the real-world effects of pharmacogenomic (PGx) alerts, this study aimed to characterize alert design within the eMERGE Network, and to establish a method for sharing PGx alert response data for aggregate analysis. Seven eMERGE sites submitted design details and established an alert logging data dictionary. Six sites participated in a pilot study, sharing alert response data from their electronic health record systems. PGx alert design varied, with some consensus around the use of active, post-test alerts to convey Clinical Pharmacogenetics Implementation Consortium recommendations. Sites successfully shared response data, with wide variation in acceptance and follow rates. Results reflect the lack of standardization in PGx alert design. Standards and/or larger studies will be necessary to fully understand PGx impact. This study demonstrated a method for sharing PGx alert response data and established that variation in system design is a significant barrier for multi-site analyses.
Where is research on massive open online courses headed? A data analysis of the MOOC research initiative

This paper reports on the results of an analysis of the research proposals submitted to the MOOC Research Initiative (MRI) funded by the Gates Foundation and administered by Athabasca University. The goal of MRI was to mobilize researchers to engage into critical interrogation of MOOCs. The submissions – 266 in Phase 1, out of which 78 was recommended for resubmission in the extended form in Phase 2, and finally, 28 funded – were analyzed by applying conventional and automated content analysis methods as well as citation network analysis methods. The results revealed the main research themes that could form a framework of the future MOOC research: i) student engagement and learning success, ii) MOOC design and curriculum, iii) self-regulated learning and social learning, iv) social network analysis and networked learning, and v) motivation, attitude and success criteria. The theme of social learning received the greatest interest and had the highest success in attracting funding. The submissions that planned on using learning analytics methods were more successful. The use of mixed methods was by far the most popular. Design-based research methods were also suggested commonly, but the questions about their applicability arose regarding the feasibility to perform multiple iterations in the MOOC context and rather a limited focus on technological support for interventions. The submissions were dominated by the researchers from the field of education (75% of the accepted proposals). Not only was this a possible cause of a complete lack of success of the educational technology innovation theme, but it could be a worrying sign of the fragmentation in the research community and the need to increased efforts towards enhancing interdisciplinarity.
Método de estimación de head pose para la obtención del punto de atención en base a una cámara web estandar

En toda interfaz de Interacción Humano-Computadora (IHC), se requiere un mecanismo específico que permita conocer el lugar donde el usuario tiene centrada su atencion. Ciertos enfoques de la IHC se apoyan en la Vision Computacional para obtener esta información a partir del anólisis del rostro. En los ultimos años, han surgido muchos trabajos rela­ cionados, en los cuales se propone estimar el punto de atención en una es­ cena a partir de la orientación del rostro (o head pose). En los mismos, se emplea mayoritariamente hardware de captura especifico (como cómaras infrarrojas, camaras en stereo o camaras 3D), que suele ser muy costoso e inacccesible. Por otro lado, existen diferentes bibliotecas de anólisis fa­ cial que, tal como se encuentran actualmente, no pueden ser utilizadas para la tarea perseguida. En este trabajo se presenta una versión inicial de un metodo de estimación de la head pose para IHC, basado en recon­ strucción 3D y seguimiento de características faciales. Uno de los aportes presentados en este paper es la definicion de un pipeline de procesamiento unificado que pueda funcionar en tiempo real. Adicionalmente, se incluye el estudio de factibilidad del uso cómaras web estóndar, incluirías en las notebooks actuales. Para validar el esquema propuesto, se comparó la precisión de la estimacion en dos implementaciones basadas en difer­ entes bibliotecas de analisis facial. Se realizo un estudio preliminar con 3 usuarios en diferentes escenarios.
Investigating the Impact of Using Knowledge Management on Organisational Agility through Competitive Intelligence and Strategic Thinking

Agility is a necessary condition, which is known as the main factor for the success of corporations to compete. In this sense, organisations have to determine their strategic priorities and accordingly develop and implement appropriate strategies in order to preserve their growth and survival. Meanwhile, managers play an important role in the process of strategic planning and making decisions related to their way of thinking. In addition, the existence of competitive intelligence plan for organisations has a striking role to optimally use the existing opportunities and using knowledge management (KM) in the organisation provides a platform to do so. This work aims to study the impact of using knowledge management on organisational agility as a case study in the ceramic and tile industry of the provinces of Yazd and Kerman. The data was collected using questionnaires. The structural equation modelling was used to analyse the research hypotheses using LISREL software. The results of the study showed that knowledge management application has a positive and significant effect on agility through using competitive intelligence and strategic thinking.
Groin Flap for Management of Traumatic Soft Tissue Thumb Injuries

There are many methods available for soft tissue coverage of traumatic thumb injuries. Some of them allow coverage of volar surface and some dorsal surface only. Although these surgical procedures allow for coverage of the defect, but have the major drawback of donor site morbidity, limited tissue for cover or complexity of procedure. We present an observational study of 10 cases of traumatic thumb injuries including volar, dorsal and circumferential tissue loss and also failed FDMA flaps managed with groin flapa technically easier procedure with reliable blood supply and limited donor site morbidity and hidden donor site scar. In our study ipsilateral groin flap was used in patients with complete/incomplete volar or complete/incomplete dorsal soft tissue loss as well as in patients with circumferential loss. Groin flap was also used as a salvage procedure for the patients who had loss of FDMA flap. All patients regained adequate function of their hand with acceptable cosmetic results and no donor site morbidity. We conclude that groin flap can be used for partial or total soft tissue loss for volar as well as dorsal soft tissue loss and for circumferential tissue loss too. Groin flap although, does require the immobilization of arm for three weeks and are bulky which may require thinning of flap and many a times more than once but it is not demanding surgically, avoids donor site cosmetic morbidity, provides ample cover of tissue loss of thumb. Introduction The special functions of the thumb are responsible for 40% of hand function, thus highlighting the importance of management of thumb injuries to regain most of its functions. Degloving injuries /soft tissue loss of the thumb are quite common, owing to the unique position of the thumb as it stands out from the palm of the hand and is more vulnerable to shearing forces [1] . Soft tissue loss of thumb can be dorsal or volar or both (circumferential) and can be partial or total loss. Surgical treatment includes the use of local, regional, and free flaps. Moberg flap, Littler neurovascular flap, Kutler’s V-Y flaps, FDMA flap, Reverse radial forearm flapand free flaps are usual surgical choices [2] . Although many of these surgical procedures allow for ample coverage of the defect, buthave the www.jmscr. igmpublication.org Impact Factor (SJIF): 6.379 Index Copernicus Value: 79.54 ISSN (e)-2347-176x ISSN (p) 2455-0450 DOI: https://dx.doi. org/10.18535/jmscr/v6i12.141