Miracle-dz/UniFAR-FTUs huggingface dataset:
Can Lean values contribute to Sustainable Development

Purpose – The aim of this paper was to study interactions between Sustainable Development and Lean values by comparing two organizations, one with Technical Communication in-house and one with Technical Communication partly outsourced.Methodology/approach – A literature study with focus on Lean and Sustainable Development values was carried out. Interviews with companies that provide Technical Communication have been conducted to identify Lean categories. The identified categories have been compared to the findings in Lean and Sustainable Development values.Findings – The literature study and our results indicate that presence of Lean values support Sustainable Development, but it requires that organizations focus on the culture and values. The result indicates that if Technical Communication has a low status the company put low value on Sustainable Development. If Technical Communication is produced in-house customer involvement might be easier to achieve.Practical implications – The identification of Lean values can be a starting point for organizations to work with Sustainable Development as it helps the organizations to focus on significant areas.Paper type – Case study
Approche quasi-systématique du contrôle de la chaîne d’air des moteurs suralimentés, basée sur la commande prédictive non linéaire explicite

Les centaines de millions de vehicules du parc automobile mondial nous rappellent a quel point notre societe depend du moteur a combustion interne. Malgre des progres significatifs en termes d’emissions polluantes et de consommation, les moteurs a essence et diesel demeurent l’une des principales sources de pollution de l’air des centres urbains modernes. Ce constat motive les autorites a renforcer les normes anti-pollution, qui tendent a complexifier la definition technique des moteurs. En particulier, un nombre croissant d’actionneurs fait aujourd’hui, du controle de la chaine d’air, un challenge majeur. Dans un marche de plus en plus mondialise et ou le temps de developpement de moteurs se doit d’etre de plus en plus court, ces travaux entendent proposer une solution aux problemes lies a cette augmentation de la complexite. La proposition repose sur une approche en trois etapes et combine : modelisation physique du moteur, controle predictif non lineaire et programmation multiparametrique. Le cas du controle de la chaine d’air d’un moteur a essence suralimente sert de fil conducteur au document. Dans son ensemble, les developpements presentes ici fournissent une approche quasi-systematique pour la synthese du controle de la chaine des moteurs a essence suralimentes. Intuitivement, le raisonnement doit pouvoir etre etendu a d’autres boucles de controle et au cas des moteurs diesel.
Development and Evaluation of a Real-Time Framework for a Portable Assistive Hearing Device

Testing and verification of digital hearing aid devices, and the embedded software and algorithms can prove to be a challenging task especially taking into account time-to-market considerations. This thesis describes a PC based, real-time, highly configurable framework for the evaluation of audio algorithms. Implementation of audio processing algorithms on such a platform can provide hearing aid designers and manufacturers the ability to test new and existing processing techniques and collect data about their performance in real-life situations, and without the need to develop a prototype device. The platform is based on the Eurotech Catalyst development kit and the Fedora Linux OS, and it utilizes the JACK audio engine to facilitate reliable real-time performance Additionally, we demonstrate the capabilities of this platform by implementing an audio processing chain targeted at improving speech intelligibility for people suffering from auditory neuropathy. Evaluation is performed for both noisy and noise-free environments. Subjective evaluation of the results, using normal hearing listeners and an auditory neuropathy simulator, demonstrates improvement in some conditions.
Brushless servomotors : fundamentals and applications

List of contributors Outline of brushless servomotors Operational principles of brushless servomotors Structure and materials of brushless servomotors Brushless servomotor sensors and digital signal processors Main circuit of brushless servomotors Brushless servomotor control Design method for brushless servomotors Examples of application and selection of brushless servomotors Measurement and evaluation of brushless servomotors Appendices.
The Forgotten Topic: Teaching Plant Closing to Executives and Graduate Students

Executive education programs and graduate-level business programs generally devote substantial time and resources to training professionals to open businesses, generate business growth, and manage on-going operations. Few programs, however, devote any time to a topic that many executives will one day be forced to confront: plant closings. Because relatively few managers have actually gone through the plant closing process, there are rarely “experts” available to guide a company through the practical dayto-day aspects of shutting down a facility. This paper addresses the key topics needed for an advanced level program dealing with the operational aspects of closing a facility. Such topics include operations management issues, human resources considerations, and legal compliance. Following an executive level training program of this type should increase the chances of having a successful closure: one that minimizes the negative impact and uncertainty related to the closure. 74 Journal of Executive Education
Comparison Study for Physical Quality Performance and Body composition Between Elite-Normal Junior Swimmers

Assiut Journal For Sport Science Arts Comparison Study for Physical Quality Performance and Body composition Between Elite-Normal Junior Swimmers. * Dr/ Khaled M. Abdelkarem Abstract: The aim of the study was to assess the Body composition and fitness between elite and normal junior swimmers. Methods The data was collected from randomly selected (100 mal) sport healthy swimmers in Egypt in 2019.The variables consist of 22 items during three testes "Swimming, Fitness and Physiological and Anthropometrical testes". Control value for each parameter was calculated as an average value mean and standard deviation ±SD. The level used for accepting significance was *P < 0.05 and **P<0.001 Results The relative changes were calculated for each subject, an individual mean value and skewness between elite swimmers and normal swimmers for all parameters. it was a different significant for elite swimmers in most of parameters vital capacity between elite and normal junior Swimmers for elite Swimmers (P=5.07) with a Correlation for 100 m freestyle (0.4608-**), in Body Mass(P=2.82) with a Correlation (0.5726-**), in Pull up (P=1.46), with a Correlation (0.232-*). vertical jump(P=2.86**) with a Correlation (0.2675-*). available test of 4×50m /10 sec (P=5.57**) with a Correlation (0.4583**). 400m Run (P=3.71**)with a Correlation (0.3275**). 10:20 Swim sprint (P=3.10**)with a Correlation (0.4061**). 25:50 Swim sprint (P=7.78**)with a Correlation for 100 m freestyle (0.6045**). Grab/Track Start 15 m(P=2.41*) with a Correlation (0.3222**). Core Flexibility (P=4.12**) with a Correlation (0.4343-**). Core Flexibility (P=4.12**) with a Correlation (0.4343-**). Flexibility front Foot (P=2.74**) and Agility(P=2.15*) for the elite junior swimmers. Discussion. in Total and Specific Contribution Ratio: first Sprint (S), second Lead Body Mass (LBM), Third Reaction time (RT), fourth Core Flexibility (CF), fifth vital capacity (VC), sixth Shoulder Flexibility (SF). in a correlation for the 100 m freestyle time record. Conclusions. Common assessments of Body composition and specific physical fitness in elite swimmers explain more variance in competition performance than Normal swimmers, as well as for 100 m events. These findings highlight the need to empirically assess testing
On-Device Deep Multi-Task Inference via Multi-Task Zipping

Future mobile devices are anticipated to perceive, understand and react to the world on their own by running multiple correlated deep neural networks locally on-device. Yet the complexity of these deep models needs to be trimmed down both within-model and cross-model to fit in mobile storage and memory. Previous studies squeeze the redundancy within a single model. In this work, we aim to reduce the redundancy across multiple models. We propose Multi-Task Zipping (MTZ), a framework to automatically merge correlated, pre-trained deep neural networks for cross-model compression. Central in MTZ is a layer-wise neuron sharing and incoming weight updating scheme that induces a minimal change in the error function. MTZ inherits information from each model and demands light retraining to re-boost the accuracy of individual tasks. MTZ supports typical network layers (fully-connected, convolutional and residual) and applies to inference tasks with different input domains. Evaluations show that MTZ can fully merge the hidden layers of two VGG-16 networks with a 3.18% increase in the test error averaged on ImageNet for object classification and CelebA for facial attribute classification, or share <inline-formula><tex-math notation="LaTeX">$39.61\%$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>39</mml:mn><mml:mo>. </mml:mo><mml:mn>61</mml:mn><mml:mo>%</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="zhou-ieq1-3124306.gif"/></alternatives></inline-formula> parameters between the two networks with <inline-formula><tex-math notation="LaTeX">$<0.5\%$</tex-math><alternatives><mml:math><mml:mrow><mml:mo><</mml:mo><mml:mn>0</mml:mn><mml:mo>. </mml:mo><mml:mn>5</mml:mn><mml:mo>%</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="zhou-ieq2-3124306.gif"/></alternatives></inline-formula> increase in the test errors. The number of iterations to retrain the combined network is at least <inline-formula><tex-math notation="LaTeX">$17.8\times$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>17</mml:mn><mml:mo>. </mml:mo><mml:mn>8</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="zhou-ieq3-3124306.gif"/></alternatives></inline-formula> lower than that of training a single VGG-16 network. Moreover, MTZ can effectively merge nine residual networks for diverse inference tasks and models for different input domains. And with the model merged by MTZ, the latency to switch between these tasks on memory-constrained devices is reduced by <inline-formula><tex-math notation="LaTeX">$8.71{\times}$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>8</mml:mn><mml:mo>. </mml:mo><mml:mn>71</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="zhou-ieq4-3124306.gif"/></alternatives></inline-formula>.
Point Cloud Registration Based on Direct Deep Features With Applications in Intelligent Vehicles

Point cloud registration is widely used in the research of intelligent vehicles, typical problems include map matching, visual odometer, pose estimation, etc. This paper proposes a deep learning-based registration method that can input point clouds directly, thereby preventing information loss of preprocessing needed by alternative deep-learning approaches. Our network, named DPFNet (Direct Point Feature Net), gradually downsamples the point cloud and aggregates points around determined reference points to formulate local features automatically. This is facilitated by a novel convolution-like operator and a novel loss function. The points in the point cloud are mapped to a high dimensional embedding through the designed deep neural network, where every embedding reflects the local feature of a specific spatial area. Based on the embedding features, correspondences between points can be estimated robustly and the registration between the point clouds can be obtained using an external geometric optimization algorithm. Experimental results on open benchmarks validate the proposed method and show that its performance is favourable over several baseline methods. Specifically, we test the proposed algorithm on KITTI benchmark, which shows its potential in tasks of intelligent vehicles, e.g., map matching, visual or LiDAR odometer.
A low cost one-camera optical tracking system for indoor wide-area augmented and virtual reality environments

In the last years the number of industrial applications for Augmented Reality (AR) and Virtual Reality (VR) environments has significantly increased. Optical tracking systems are an important component of AR/VR environments. In this work, a low cost optical tracking system with adequate attributes for professional use is proposed. The system works in infrared spectral region to reduce optical noise. A highspeed camera, equipped with daylight blocking filter and infrared flash strobes, transfers uncompressed grayscale images to a regular PC, where image pre-processing software and the PTrack tracking algorithm recognize a set of retro-reflective markers and extract its 3D position and orientation. Included in this work is a comprehensive research on image pre-processing and tracking algorithms. A testbed was built to perform accuracy and precision tests. Results show that the system reaches accuracy and precision levels slightly worse than but still comparable to professional systems. Due to its modularity, the system can be expanded by using several one-camera tracking modules linked by a sensor fusion algorithm, in order to obtain a larger working range. A setup with two modules was built and tested, resulting in performance similar to the stand-alone configuration.
DNA Damage Response Genes in Osteosarcoma

Background Improving the osteosarcoma (OS) patients' survival has long been a challenge, even though the disease's treatment is on the verge of progress. DNA damage response (DDR) has traditionally been associated with carcinogenesis, tumor growth, and genomic instability. No study has used DDR genes as a signature to identify the prognosis of OS. The goal of this work was to find an effective possible DDR gene biomarker for predicting OS prognosis, which may be useful in clinical diagnosis and therapy. Methods To assess gene methylation, univariate and multivariate cox regression analyses were performed on data from OS patients. The data were retrieved from public databases, including the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) and the Gene Expression Omnibus (GEO). Results The DDR gene signature was chosen, which included seven genes (NHEJ1, RMI2, SWI5, ERCC2, CLK2, POLG, and MLH1). In the TARGET dataset, patients were categorized into two groups: high-risk and low-risk. Patients with a high-risk score revealed a shorter OS rate (hazard ratio (HR): 3.15, 95% confidence interval (CI): 1.38–4.34, P < 0.001) in comparison with the patients with a low-risk score in the TARGET as a training group. The validation of the prognostic signature accuracy was carried out in relapse and validation cohorts (TARGET, n = 75; GSE21257, n = 53). The signature was found to be an independent predictive factor for OS in multivariate cox regression analysis, and a nomogram model was developed to predict an individual's risk of OS. DDR gene signature involved in Fanconi anemia pathway, nonhomologous end−joining pathway, mismatch repair, and nucleotide excision repair pathway. Conclusions Our study suggests that the identified novel DDR genes could be a powerful prognostic tool for prognosis evaluation and a valuable tool in predicting the risk factors in OS patients.
Cost comparisons for three harvesting systems operating in northern hardwood stands

Production rates, break-even piece (tree) sizes/costs (BEP), and operating costs were compared for a Koller K-300 cable yarder, a cut-to-length (CTL) harvester, and an A60F Holder tractor operating at three machine utilization rates (MUR) in northern hardwood stands. At an average product price of $0.40/ft3, the BEP size at an MUR of 90 was 7.64 ft3 for the Koller yarder, 4.63 ft3 for the CTL harvester, and 3.74 ft3 for the A60F tractor, respectively. At MUR? s of 75 and 60 percent, the break-even piece size was 9.18 and 10.82 ft3 for the Koller, 5.64 and 8.31 ft3 for the CTL harvester, and 4.55 and 5.74 ft3 for the Holder tractor. The most important attributes of these systems are reduced soil compaction and disturbance, ease of movement to and from the logging site, and minimal residual stand damage.
Heart-rate adapting match filter detection of t-wave alternans in experimental Holter ECG recordings

T-wave alternans (TWA) is an electrophysiological phenomenon associated with cardiac electrical instability. Recently we proposed a new heart-rate adapting match filter (AMF) to detect TWA in ECG tracings affected by baseline wanders. AMF performance was tested against the third-order spline (TOS) interpolation baseline-removal technique, the only other baseline-removal method proposed in literature for TWA-detection purposes. Using simulated data, we proved that our AMF-method increased correct TWA identification by significantly reducing the number of TWA false-negative detections. The aim of the present study was to test AMF performance in Holter ECG recordings from 15 patients with acute myocardial infarction (AMI) and 15 healthy (H) subjects. Comparison with TOS was also made. Four AMI patients and two H subjects were identified as TWA-positive after application of AMF. By contrast, eight AMI patients (p<0.05) and nine H subjects (p<0.05) were identified as TWA-positive after application of TOS-method. According to clinical observations TWA is infrequent, especially in H-subjects. Thus, our results suggest that TOS-based technique may introduce false-positive TWA detections. In conclusion, compared to TOS-method, our AMF-based method reduces both false-positive (experimental study) and false-negative (simulation study) TWA detections, thus yielding an improvement over the TOS in the effectiveness of automatic TWA detection.
Advances in Inverse Transport Methods and Applications to Neutron Tomography

The purpose of our project is to infer material distribution inside an object based upon detection and analysis of radiation emerging from the object. Abstract We present advances in inverse transport methods and demonstrate their application to neutron tomography problems that have significant scattering. The main advances are dimension-reduction schemes that we have designed to take advantage of known and postulated constraints. One key constraint is that the cross sections for a given region in the object must be the cross sections for a real material. We illustrate our approach using a neutron tomography model problem on which we impose reasonable constraints, similar to those that in practice would come from prior information or engineering judgment. The results shows that our method is capable of inferring correct material distribution in investigating object. Advances in Inverse Transport Methods and Applications to Neutron Tomography
Vehicle Powertrain Systems

The powertrain is at the heart of vehicle design; the engine – whether it is a conventional, hybrid or electric design – provides the motive power, which is then managed and controlled through the transmission and final drive components. The overall powertrain system therefore defines the dynamic performance and character of the vehicle. The design of the powertrain has conventionally been tackled by analyzing each of the subsystems individually and the individual components, for example, engine, transmission and driveline have received considerable attention in textbooks over the past decades. The key theme of this book is to take a systems approach – to look at the integration of the components so that the whole powertrain system meets the demands of overall energy efficiency and good drivability.
Fault-tolerant Roll Stabilization of Ships

The overall goal of this project is to, stabilize the roll angle of a ship, with mounted fins and sailing in open water. To achieve this goal, a model of a ship, with fins mounted on the side of the ship, is created. Sensors to measure the wanted outputs are implemented. The disturbance in the system is given by the waves. The model is linearized, for use in the design of the controller. The theory and solution to the design of an H∞ controller is described, with regards to controlling the roll angle of the ship, using the fins. It is wished to reduce the variance and mean of the roll angle of the ship with a minimum of 75%, compared to when there is no controller in the system. The controller gives the angle of the fins as output. It is also the aim to make the system fault-tolerant, so it is able to continue functioning, if a fault should occur on a sensor. Therefore the means to isolate a fault and methods to handle it is described. A controller able to function with a fault in the system is designed.
The detrusor electromyogram and purinergic mechanisms in the bladders of guinea-pig and man

It has been said that a technique capable of recording a urinary bladder electromyogram could be useful in the clinical evaluation of the detrusor neuropathies and myopathies implicated in the generation of lower urinary tract symptoms. However, in contrast to electromyography of skeletal and cardiac muscle, detrusor smooth muscle electromyography has remained in its infancy despite fifty years of scientific effort. The principal problems appear to be isolation of the real signal from artifacts, and uncertainties surrounding the existence of electromyographic activity during parasympathetically mediated muscle contraction. The discovery of purinergic neuromuscular transmission in overactive human bladder samples has renewed interest in detrusor electromyography as, in contrast to cholinergic mechanisms, purinergically mediated contractions can generate extracellular electrical activity. This thesis describes the development and validation of a novel technique for recording electrical activity from neurologically intact guinea-pig bladders and human detrusor in vitro. We characterise a purinergic electromyographic signal and show that detrusor taken from overactive human bladders has a greater propensity to generate electromyographic activity than normal by virtue of an aberrant purinergic mechanism. We discuss the potential role of electromyography in the clinical evaluation of a putative purinergic detrusor myopathy.
Forensic Analysis of Digital Image Tampering

Abstract : The use of digital photography has increased over the past few years, a trend which opens the door for new and creative ways to forge images. The manipulation of images through forgery influences the perception an observer has of the depicted scene, potentially resulting in ill consequences if created with malicious intentions. This poses a need to verify the authenticity of images originating from unknown sources in absence of any prior digital watermarking or authentication technique. This research explores the holes left by existing research; specifically, the ability to detect image forgeries created using multiple image sources and specialized methods tailored to the popular JPEG image format. In an effort to meet these goals, this thesis presents four methods to detect image tampering based on fundamental image attributes common to any forgery. These include discrepancies in 1) lighting and 2) brightness levels, 3) underlying edge inconsistencies, and 4) anomalies in JPEG compression blocks. Overall, these methods proved encouraging in detecting image forgeries with an observed accuracy of 60% in a completely blind experiment containing a mixture of 15 authentic and forged images.