Miracle-dz/UniFAR-FTUs huggingface dataset:
Computer Vision Techniques for Collision Analysis. A Study Case

Following the increased use of mobile platforms, the collision between the mobile platform and elements in its operating environment has become an issue of growing importance. Even if there are extensive researches about the ways to avoid those collisions (sensors, control strategies), in a real-life scenario the dynamics of all the other environmental elements leads to situations when the collision becomes unavoidable. In this paper we proposed, developed and evaluated a test stand for collision analysis, for a previously published theoretical model for planar link in contact with a granular material. The knowledge acquired during this work can be successfully used for impact tests for mobile platforms.
Interactions between the mRNA and Rps3/uS3 at the entry tunnel of the ribosomal small subunit are important for no-go decay

No-go Decay (NGD) is a process that has evolved to deal with stalled ribosomes resulting from structural blocks or aberrant mRNAs. The process is distinguished by an endonucleolytic cleavage prior to degradation of the transcript. While many of the details of the pathway have been described, the identity of the endonuclease remains unknown. Here we identify residues of the small subunit ribosomal protein Rps3 that are important for NGD by affecting the cleavage reaction. Mutation of residues within the ribosomal entry tunnel that contact the incoming mRNA leads to significantly reduced accumulation of cleavage products, independent of the type of stall sequence, and renders cells sensitive to damaging agents thought to trigger NGD. These phenotypes are distinct from those seen in combination with other NGD factors, suggesting a separate role for Rps3 in NGD. Conversely, ribosomal proteins ubiquitination is not affected by rps3 mutations, indicating that upstream ribosome quality control (RQC) events are not dependent on these residues. Together, these results suggest that Rps3 is important for quality control on the ribosome and strongly supports the notion that the ribosome itself plays a central role in the endonucleolytic cleavage reaction during NGD.
Food Allergy: Adverse Reactions to Foods and Food Additives, 4th Edition

Following the successful formula of the previous editions, this book has established itself as the comprehensive reference for those treating patients with food allergy or suspected allergy. The book has been thoroughly revised and updated presenting new chapters devoted to food biotechnology and genetic engineering, seafood toxins, future approaches to therapy and hidden food allergens. It's divided into five sections featuring key concept boxes for each chapter. Displayed in a logical manner the book is a practical, readable reference for use in the hospital or private practice setting.
Effective Health Care Delivery and Integrated Behavioral Health Screening

&NA; The Institute of Medicine (IOM) Health Care Quality Initiative has addressed numerous aspects of health care quality; in 2001, it released a landmark report called Crossing the Quality Chasm: A New Health System for the 21st Century (IOM, 2001). The report proposed a framework for assessing and improving the quality of health care, and defined six aims for high‐quality health care (safety, effectiveness, patient‐centeredness, timeliness, efficiency and equitableness). In 2006, the IOM released another report in the Quality Chasm series: Improving the Quality of Health Care for Mental and Substance‐Use Conditions (IOM, 2006). This Policy Watch column provides an overview of the Health Care Quality Initiative's recommendations for integrated screening as one of several strategies for resolving quality problems for mental and substance‐use health care.
Numerical Recipes 3rd Edition: The Art of Scientific Computing

Co-authored by four leading scientists from academia and industry, Numerical Recipes Third Edition starts with basic mathematics and computer science and proceeds to complete, working routines. Widely recognized as the most comprehensive, accessible and practical basis for scientific computing, this new edition incorporates more than 400 Numerical Recipes routines, many of them new or upgraded. The executable C++ code, now printed in color for easy reading, adopts an object-oriented style particularly suited to scientific applications. The whole book is presented in the informal, easy-to-read style that made earlier editions so popular. Please visit www.nr. com or www.cambridge. org/us/numericalrecipes for more details. New key features: 2 new chapters, 25 new sections, 25% longer than Second Edition Thorough upgrades throughout the text Over 100 completely new routines and upgrades of many more. New Classification and Inference chapter, including Gaussian mixture models, HMMs, hierarchical clustering, Support Vector MachinesNew Computational Geometry chapter covers KD trees, quad- and octrees, Delaunay triangulation, and algorithms for lines, polygons, triangles, and spheres New sections include interior point methods for linear programming, Monte Carlo Markov Chains, spectral and pseudospectral methods for PDEs, and many new statistical distributions An expanded treatment of ODEs with completely new routines Plus comprehensive coverage of linear algebra, interpolation, special functions, random numbers, nonlinear sets of equations, optimization, eigensystems, Fourier methods and wavelets, statistical tests, ODEs and PDEs, integral equations, and inverse theory And much, much more! Visit the authors' web site for information about electronic subscriptions www.nr. com/aboutNR3book.html
The first clinical experience in prostate cancer salvage cryotherapy

Introduction. Prostate cancer is the most common malignant neoplasia among men in Lithuania, though it presents a low mortality rate. In 2007 more than 3 500 Lithuanians were diagnosed with prostate cancer. Many patients were treated with radiotherapy. Unfortunately, after several years the number of cases of prostate cancer recurrence after radiotherapy started to grow. This new problem requires the following difficult decision to make: which treatment method to choose? Radical prostatectomy, high-dose radiotherapy, cryotherapy, high-intensityfocused ultrasound, active surveillance or hormone therapy – all are viable salvage methods. In 2012 we performed the first cryotherapy procedures. Now we want to present our first clinical experience in prostate cancer salvage cryotherapy. Materials and methods. Five patients diagnosed with prostate cancer were selected for prostate cryotherapy. Four patients were treated only with radiotherapy, one patient was treated with radiotherapy plus neoadjuvant hormonal treatment. Prostate cancer recurrences were diagnosed by multiparametric MRI and ultrasound guided transrectal or transperineal biopsies. MRI findings were validated with the Magnetic Resonance Prostate Imaging Reporting and Data System (PI-RADS). CT, MRI, ultrasound scanning, and bone scintigraphy were performed for patients before treatment. No pathological bone changes were detected. All patients received 2-cycle cryotherapy with real-time ultrasound guidance and temperature change tracking. Results. The described treatment scheme for these patients enables to deliver two freezing-thawing cycles with 10–12 probes and a urethra-warming catheter. All procedures were completed succesfully without any intraoperative complications. Urinal obstruction was observed after 1 week for 1 of 5 patients. He had to stay with epicystostomy and overwent prostate transurethral resection. After these procedures the patient could urinate normally. One patient had biochemical progression due to metastasis in parailiacal lymph nodes, and he got external beam therapy to lymph-node projection. After 6 months there was no cancer progresion signs on MRI and PSA was 1.77 ng/ml. No patients suffered from urinary incontinence. Conclusions. Our initial experience shows that cryotherapy can be a viable alternative for patients with disease progression after radiotherapy. Currently the biggest advantages of cryotherapy are as follows: possibility to treat patients not suitable for salvage prostatectomy, short hospitalization, low complication risk and lower overall cost than other methods. Short term data seems to be promising but longer follow-up is necessary to verify oncological and functional results.
Phosphorylation by the stress-activated MAPK Slt2 down-regulates the yeast TOR complex 2

Here, Leskoske et al. studied how TORC2 activity is modulated in response to changes in the status of the cell envelope. They demonstrate that TORC2 subunit Avo2 is a direct target of Slt2, the MAPK of the cell wall integrity pathway, and their findings provide new insights into TORC2 function and regulation.
Eingebettete Optimierung in der Regelungstechnik – Grundlagen und Herausforderungen

Zusammenfassung Die effiziente Lösung von Optimierungsproblemen in Echtzeit bildet die Grundlage vieler moderner Regelungs- und Schätzverfahren. So basieren die prädiktive Regelung sowie die Zustandsschätzung auf bewegtem Horizont auf der wiederholten Lösung beschränkter Optimierungsprobleme. Methodische sowie technologische Fortschritte ermöglichen den Einsatz optimierungsbasierter Verfahren in Echtzeit selbst für anspruchsvolle Regelungs- und Schätzprobleme mit Zeitkonstanten im Bereich von Mikro- oder sogar Nanosekunden. Nach einem Überblick über effiziente Lösungsansätze für die echtzeitfähige Umsetzung optimierungsbasierter Schätz- und Regelungsverfahren fokussiert sich diese Arbeit auf wesentliche technologische, regelungs- und systemtheoretische Aspekte für deren erfolgreichen Einsatz.
The possible role of bacteria, viruses, and parasites in initiation and exacerbation of irritable bowel syndrome

Irritable bowel syndrome (IBS) is a prolonged and disabling functional gastrointestinal disorder with the incidence rate of 18% in the world. IBS could seriously affect lifetime of patients and cause high economic burden on the community. The pathophysiology of the IBS is hardly understood, whereas several possible mechanisms, such as visceral hypersensitivity, irregular gut motility, abnormal brain–gut relations, and the role of infectious agents, are implicated in initiation and development of this syndrome. Different studies demonstrated an alteration in B‐lymphocytes, mast cells (MC), T‐lymphocytes, and cytokine concentrations in intestinal mucosa or systemic circulation that are likely to contribute to the formation of the IBS. Therefore, IBS could be developed in those with genetic predisposition. Infections’ role in initiation and exacerbation of IBS has been investigated by quite several clinical studies; moreover, the possible role of some pathogens in development and exacerbation of this disease has been described. It appears that the main obligatory pathogens correspond with the IBS disease, Clostridium difficile, Escherichia coli, Mycobacterium avium subspecies paratuberculosis, Campylobacter concisus, Campylobacter jejuni, Chlamydia trachomatis, Helicobacter pylori, Pseudomonas aeruginosa, Salmonella spp, Shigella spp, and viruses, particularly noroviruses. A number of pathogenic parasites (Blastocystis, Dientamoeba fragilis, and Giardia lamblia) may also be involved in the progression and exacerbation of the disease. Based on the current knowledge, the current study concludes that the most common bacterial, viral, and parasitic pathogens may be involved in the development and progression of IBS.
Role of peer support for people with a spinal cord injury.

Spinal cord injuries can result in significant physiological and psychological challenges for patients. Nurses have an important role in the rehabilitation of people with a spinal cord injury, as does the provision of peer support by people who are 'living well' after experiencing a spinal cord injury. AIM To explore peer support and whether it can have an effective role in a multidisciplinary team approach to supporting a patient with a spinal cord injury. METHOD This was an independent evaluation that used an online survey, a focus group and telephone interviews to elicit the views of respondents about the Spinal Injury Association (SIA) peer support service in England and Wales. There were four groups of respondents: people with a spinal cord injury; their family and friends; peer support officers; and nurse specialists and other healthcare practitioners. FINDINGS It was identified that peer support officers were valued for their ability to provide a positive role model for people with a spinal cord injury. Healthcare practitioners involved in the care of people with a spinal cord injury also appreciated the training and support they received from peer support officers. CONCLUSION This evaluation demonstrated that peer support officers were regarded as an important element of a multidisciplinary team approach to managing the care of those who had experienced a spinal cord injury. Peer support officers were also considered a valuable source of information and education, particularly for healthcare practitioners working in settings where spinal cord injury was not a common presentation.
Single scattering of partly oriented aspherical cloud ice crystals at sub-millimeter wavelengths

The recently suggested sub-millimeter sensors for the global observation of cirrus clouds all bear several channels widely separated from each other and spanning the range from 180 to 880 GHz. While the potential for retrieving the integrated ice water content and the mean effective particle size of ice clouds has been investigated, the quantitative retrieval of particle shape and orientation information is still an active research area. Here we investigate the influence of the parameters of a Gaussian distribution of the horizontal particle orientation on the single scattering cross section. It is only slightly affected, but the polarization signal is reduced to 90% of the completely horizontally oriented case if the standard deviation /spl sigma//sub /spl beta// of the horizontal distribution is 15/spl deg/ and reduced to 50% if /spl sigma//sub /spl beta// = 30/spl deg/.
Isolation‐based anomaly detection using nearest‐neighbor ensembles

The first successful isolation‐based anomaly detector, ie, iForest, uses trees as a means to perform isolation. Although it has been shown to have advantages over existing anomaly detectors, we have identified 4 weaknesses, ie, its inability to detect local anomalies, anomalies with a high percentage of irrelevant attributes, anomalies that are masked by axis‐parallel clusters, and anomalies in multimodal data sets.
Visualization support to better comprehend and improve decision tree classification modelling process: a survey and appraisal

Data mining (DM) can be defined as the non-trivial process of identifying valid, novel, potentially useful and ultimately understandable patterns in data. Modelling is the crucial step where DM algorithms are applied in order to extract data patterns. In order for domain experts, who play significant roles in DM process, to make the most efficient and effective use of DM tools, these tools must incorporate appropriate visualization to facilitate the process of modelling. Yet, unfortunately, study of how visualization should be designed, particularly what components should be included and how to present them, has been rather limited. This paper surveys the current state of art in application of visualization techniques to better comprehend and improve the decision trees modelling process in three modes: visualization of tree models, visualization of model evaluation and visual interactive tree construction. A number of issues that have been overlooked and areas that need to be improved are identified through reviewing a collection of related research and examining six current DM softwares in terms of their design of a few important features in each mode of the visualization support to decision trees classification modelling. Although this article focuses on decision trees classification modelling, guidelines derived from this study can be beneficial to other modelling techniques as well. At the end of the paper, a desirable design of visualization support to DM modelling is proposed with a conceptual model.
2-D Minimum Variance Based Plane Wave Compounding with Generalized Coherence Factor in Ultrafast Ultrasound Imaging

Plane wave compounding (PWC) is an effective modality for ultrafast ultrasound imaging. It can provide higher resolution and better noise reduction than plane wave imaging (PWI). In this paper, a novel beamformer integrating the two-dimensional (2-D) minimum variance (MV) with the generalized coherence factor (GCF) is proposed to maintain the high resolution and contrast along with a high frame rate for PWC. To specify, MV beamforming is adopted in both the transmitting aperture and the receiving one. The subarray technique is therefore upgraded into the sub-matrix division. Then, the output of each submatrix is used to adaptively compute the GCF using a 2-D fast Fourier transform (FFT). After the 2-D MV beamforming and the 2-D GCF weighting, the final output can be obtained. Results of simulations, phantom experiments, and in vivo studies confirm the advantages of the proposed method. Compared with the delay-and-sum (DAS) beamformer, the full width at half maximum (FWHM) is 90% smaller and the contrast ratio (CR) improvement is 154% in simulations. The over-suppression of desired signals, which is a typical drawback of the coherence factor (CF), can be effectively avoided. The robustness against sound velocity errors is also enhanced.
SILCA: fast-yet-accurate time-domain simulation of VLSI circuits with strong parasitic coupling effects

We propose a new circuit analysis method, namely Semi-Implicit Linear-Centric Analysis (SILCA), for efficient SPICE-accurate transient simulation of deep-submicron VLSI circuits with strong parasitic coupling effects introduced by interconnect lines, common substrate, power/ground networks, etc. SILCA is based on two linear-centric techniques. First, a new semi-implicit iterative numerical integration scheme is developed, which applies dynamic time step control accounting for stiff systems and meanwhile keeps constant equivalent conductance for capacitor/inductor companion models. Its convergence and stability properties are characterized. Second, to achieve constant linearized conductance for nonlinear devices during nonlinear iteration process, a successive variable chord method is introduced as an alternative of the Newton-Raphson method and the rank-one update technique is implemented for fast LU factorization. With these techniques, SILCA reduces the number and cost of required LU factorizations dramatically. Experimental results on substrate and power/ground networks have demonstrated that SILCA yields SPICE-like accuracy with an over 80X reduction in LU factorization cost, and an about 20X overall CPU time speedup over SPICE3 for circuits with tens of thousands elements, and the efficiency increases further with the size of a circuit.
Low-Dose CT via Deep CNN with Skip Connection and Network in Network

A major challenge in computed tomography (CT) is how to minimize patient radiation exposure without compromising image quality and diagnostic performance. The use of deep convolutional (Conv) neural networks for noise reduction in Low-Dose CT (LDCT) images has recently shown a great potential in this important application. In this paper, we present a highly efficient and effective neural network model for LDCT image noise reduction. Specifically, to capture local anatomical features we integrate Deep Convolutional Neural Networks (CNNs) and Skip connection layers for feature extraction. Also, we introduce parallelized $1\times 1$ CNN, called Network in Network, to lower the dimensionality of the output from the previous layer, achieving faster computational speed at less feature loss. To optimize the performance of the network, we adopt a Wasserstein generative adversarial network (WGAN) framework. Quantitative and qualitative comparisons demonstrate that our proposed network model can produce images with lower noise and more structural details than state-of-the-art noise-reduction methods.
Combining the Statistical Model and Heuristic Model to Predict Flow Rate

Statistical and heuristic models have been proposed as applications that are well suited to short-term traffic flow prediction. However, traffic flow data often contain both linear and nonlinear patterns. Therefore, neither statistical nor heuristic models are adequate to model and predict traffic flow data. This paper discusses the relative merits of statistical and heuristic models for traffic flow prediction and summarizes the findings from a comparative study for their performances. Based on that, a hybrid support vector machine for regression (SVR) methodology that combines both statistical and heuristic models is proposed to take advantage of their unique strength in linear and nonlinear modeling. In addition, the dynamics of spatial-temporal patterns in traffic flow are considered in this study, and they are treated as part of the input data. The experiment results based on the real field data of a test region in Beijing suggest that the proposed method is able to provide accurate and reliable flow rate predictions under both low- and high-flow traffic conditions. The benefit from combining statistical and heuristic models as opposed to not combining [autoregressive integrated moving average (ARIMA) model or Elman neural network (NN)] is much more evident in all cases, and the accuracy can be improved by 9.04% on average. Regarding the incorporation of a combination of temporal and spatial characteristics, the use of the hybrid model is found helpful in a one-step-ahead flow rate prediction under high-flow traffic conditions, with a maximum 9.52% improvement on accuracy.
Snapshot Surveys for Lake Monitoring, More Than a Shot in the Dark

Department F. -A. Forel for Environmental and Aquatic Sciences, University of Geneva, Geneva, Switzerland, 2 Limnology Laboratory, Department of Biological Sciences, Middle East Technical University, Ankara, Turkey, Department of Environmental Biology, The University of Adelaide, Adelaide, SA, Australia, Department of Aquatic Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, Netherlands, Department of Environmental Sciences, Wageningen University & Research, Wageningen, Netherlands, Center for Limnology, University of Wisconsin-Madison, Madison, WI, United States, 7 Rubenstein Ecosystem Science Laboratory, University of Vermont, Burlington, VT, United States, Department of Experimental Limnology, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Stechlin, Germany, 9 Faculty of Mathematics and Natural Sciences, Institute of Biochemistry and Biology, Potsdam University, Potsdam, Germany, Office of Water, US Environmental Protection Agency, Washington, DC, United States, WasserCluster Lunz, Biologische Station GmbH, Lunz am See, Austria, Department of Biological Sciences, Rensselaer Polytechnic Institute, Troy, NY, United States, Department of Environmental Science and Policy, University of California, Davis, Davis, CA, United States, Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI, United States, Department of Limnology and Bio-Oceanography, Faculty of Life Sciences, University of Vienna, Vienna, Austria, Department of Ecology and Genetics/Limnology, Uppsala University, Uppsala, Sweden
The personal current meter-A novel ankle-worn device for the measurement of RF body current in a mobile subject

An instrument is described for measurement of body current based on the use of a clamp-on RF current transformer, of a type used in EMC (electromagnetic compatibility) testing which can be worn around a subject's ankle. This transformer and its associated electronics are termed a personal current meter or PCM. The prototype instrument gave good performance over the current range 8-1000 mA for a frequency range of 0.1-80 MHz, and uses a digital display. The design of a prototype PCM is discussed, together with a description of the test methods used to assess the performance of the instrument in the laboratory.