Miracle-dz/UniFAR-FTUs huggingface dataset:
Hospitalization and colonization by methicillin-resistant Staphylococcus in the surgical department in 03 health facilities of the Ndé division, west-Cameroon

Background: Commensal flora colonization during hospitalization by bacteria is the first step for a nosocomial infections while antibiotic resistance reduces therapeutic options. In aim to control this phenomenon, we initiated this study to describe the impact of hospitalization on colonization by methicillin-resistant Staphylococcus in the surgical department in 03 health facilities of the Ndé division, west-Cameroon. Methods: This quasi-experimental study was carried out on patients admitted for surgery in 03 health facilities of the Ndé division, west-Cameroon (District Hospital of Bangangté, Protestant Hospital of Bangwa and Cliniques Universitaires des Montagnes). After obtaining ethical clearance and authorizations, nasal swabs were performed at admission and discharge, with the aim of isolating bacteria and performing their antibiotic susceptibility tests. Information on each participant's antibiotic therapy was recorded. Laboratory investigations were carried out according to standard protocols (CASFM, 2019). Results: The most commonly used antibiotics were β-lactam antibiotics. Of the 52 patients who agreed to participate in the study, 104 nasal swabs were performed. From the analysis, 110 (57 at admission versus 53 at discharge) Staphylococcus isolates were obtained. Overall, susceptibility testing showed that antibiotic resistance rates were higher at discharge than at admission; with significant differences between the susceptibility profiles obtained at admission and discharge for β-lactam antibiotics and not significant for fluoroquinolones and aminoglycosides. The nasal flora of 13 (25%) patients was colonized with methicillin-resistant Staphylococcus at admission versus 39 (75%) at discharge and 14 (24.56%) of the isolates obtained at admission were methicillin-resistant versus 37 (69.81%) at discharge. Of the variables studied, hospital stay remained the only variable significantly (p=0.0080) associated with colonization by methicillin-resistant Staphylococcus.Conclusion: This work must be considered as an alarm bell regarding the role of health structures in the colonization and spread of multi-resistant bacteria in Ndé division. As a result, further investigations aimed at investigating the factors favouring this phenomenon should be carried out with an approach similar to that of the ONE HEALTH concept. Pending these investigations, we recommend strict compliance with hygiene rules, personalized antibiotic therapy (performing antibiotic susceptibility tests) and an updated antibiotic prophylaxis and probabilistic antibiotic therapy according to the studies carried out in the locality.
The factors affecting the bank’s credit impairment losses by adopting IAS on PSAK 55 in Indonesia

Loan loss provisions in banks plays a vital role in maintaining the stability and health of banks, as well as fulfilling the function of banks in channeling public funds. This study aims to determine the effect of income smoothing and the behavior of procyclicality against reserves of credit losses losses, as well as the role of adoption of IAS 39 in PSAK 55 in moderating the influence of these two variables. The object of this study are conventional commercial banks that are listed on the Indonesia Stock Exchange within the research period of 2008-2017. By using purposive sampling method, I obtained 20 bank samples and 196 observations. The hypotheses in this research are tested using multiple regression analysis. This study shows that income smoothing has a positive influence on loan loss provisions, whereas procyclicality and IAS 39 adoption in PSAK 55 do not affect loan loss provisions significantly. Meanwhile, IAS 39 adoption in PSAK 55 weakens the positive influence of income smoothing, however it cannot moderate the influence of procyclicality on loan loss provisions.
Team Learning: A Theoretical Integration and Review

With the increasing emphasis on work teams as the primary architecture of organizational structure, scholars have begun to focus attention on team learning, the processes that support it, and the important outcomes that depend on it. Although the literature addressing learning in teams is broad, it is also messy and fraught with conceptual confusion. This chapter presents a theoretical integration and review. The goal is to organize theory and research on team learning, identify actionable frameworks and findings, and emphasize promising targets for future research. We emphasize three theoretical foci in our examination of team learning, treating it as multilevel (individual and team, not individual or team), dynamic (iterative and progressive; a process not an outcome), and emergent (outcomes of team learning can manifest in different ways over time). The integrative theoretical heuristic distinguishes team learning process theories, supporting emergent states, team knowledge representations, and respective influences on team performance and effectiveness. Promising directions for theory development and research are discussed.
Statistical analysis of traffic loads and their effects on bridges

Traffic load model in standard or specification for bridge design should guarantee all newly designed bridges to have sufficient security margin for future traffic. Many different methods have been used to model extreme traffic load effects on bridges for predicting characteristic value for short or long return period. In order to provide some guidance on selecting parameter estimation when applying POT to bridge traffic loading, we focus on the effect that method used to estimate the parameters of the GPD has on the accuracy of the estimated characteristic values. Through this qualitative discussion on the methods, several available methods for traffic loading are selected. Numerical simulation data, Monte Carlo simulation traffic load effects and in-field traffic load effect measurements are analyzed and presented. Literature points out that the traffic load effect is induced by loading event that involves different number of vehicles, and the distribution of the load effects from different loading events are not identically distributed, which violates the assumption of classic extreme value theory that the underlying distribution should be identically independent distributed. Methods using mixture distribution (exponential or generalized extreme value) has been proposed in the literature to model the extreme traffic load effect by loading event. However, the traffic loading may be also importance if the bridge encounter traffic induced fatigue problem, components like orthotropic steel deck is governed by traffic induced fatigue load effects. We intend to explore the influence of traffic load on the fatigue behaviour of orthotropic steel deck, especially the influence of the loading position in terms of transverse location of vehicle. Measurements of transverse location of vehicle collected from by weigh-in-motion (WIM) systems in 2010 and 2011 four French highways showed a completely different distribution model of transverse location of vehicle to that recommended in EC1. Stress spectrum analysis and fatigue damage calculation was performed on the stresses induced traffic on orthotropic steel deck of Millau cable-stayed bridge. By comparing the stresses and damages induced by different traffic patterns (through distributions of transverse location of vehicle), it was found that the histogram of stress spectrum and cumulative fatigue damage were significantly affected by the distribution of transverse location of vehicle. Therefore, numerical analysis that integrates finite element modelling and traffic data with distributions of transverse location of vehicles can help to make an accurate predetermination of which welded connections should be sampled to represent the health of the deck
ASTERS: adaptable threshold spike-timing neuromorphic design with twin-column ReRAM synapses

Complex event-driven neuron dynamics was an obstacle to implementing efficient brain-inspired computing architectures with VLSI circuits. To solve this problem and harness the event-driven advantage, we propose ASTERS, a resistive random-access memory (ReRAM) based neuromorphic design to conduct the time-to-first-spike SNN inference. In addition to the fundamental novel axon and neuron circuits, we also propose two techniques through hardware-software co-design: "Multi-Level Firing Threshold Adjustment" to mitigate the impact of ReRAM device process variations, and "Timing Threshold Adjustment" to further speed up the computation. Experimental results show that our cross-layer solution ASTERS achieves more than 34.7% energy savings compared to the existing spiking neuromorphic designs, meanwhile maintaining 90.1% accuracy under the process variations with a 20% standard deviation.
Pseudodynamic Tests on Full Scale Prototypes of Precast Strutures

The paper presents the results of pseudodynamic and cyclic tests performed at ELSA Laboratory in Ispra on full scale prototypes of precast structures. The typical frame system used for one storey industrial buildings is treated. The results give clear indications on the behaviour of such structures in terms of seismic capacity, ductility resources related to reinforcement details and role of the different construction elements (connections, roof diaphragm, cladding panels).
"Free gigolo on 0422222460": evaluating public SMS interactions

This paper reports on the deployment of a open, public SMS service, Txt-2-DISplay, at a public event hosted by a university. The service enabled texting to a public display in the foyer of a building inhabited by ‘regulars’, largely known to each other and with some previous association with the building, and ‘visitors’ who were visiting the building for the day. Here we describe the design of the display and present a summary of the messages sent to the service. We then discuss the implications of our experiences for the evaluation of mobile and ubiquitous systems and present some conclusions regarding usage of this ‘technology probe’ reflect on our approach as a means of evaluating such public interactions.
Geochemical reactions of Na-montmorillonite in dissolved scCO2 in relevance of modeling caprock behavior in CO2 geological storage

One of the challenges of the present century is to limit the greenhouse gas emissions for the mitigation of climate change which is possible for example by a transitional technology, CO2 geological storage. Clay minerals are considered to be responsible for the low permeability and sealing capacity of caprocks sealing off stored CO2. However, their reactions are not well understood for complex simulations. This work aims to create a kinetic geochemical model of Na-montmorillonite standard SWy-2 supported by solution and mineral composition results from batch experiments. Such experimentally validated numerical models are scarce. Four 70-hours experiments have been carried out at atmospheric conditions, and with CO2 supercritical phase at 100 bar and 80 °C. Solution samples have been taken during and after experiments and their compositions were measured by ICP-OES. The treated solid phase has been analyzed by XRD and ATR-FTIR and compared to in-parallel measured references (dried SWy-2). Kinetic geochemical modelling of the experimental conditions has been performed by software PHREEQC. Experiments and models show fast reactions under the studied conditions and increased reactivity in presence of scCO2. Solution composition results cannot be described by the change of the uncertain reactive surface area of mineral phases. By considering the clay standard’s cation exchange capacity divided proportionally among interlayer cations of Na-montmorillonite, the measured variation can be described on an order of magnitude level. It is furthermore indicated that not only the interlayer cations take part in this process but a minor proportion of other, structural ions as well, differently in the reference and scCO2 environments.
Structural phase transition in [(C2H5)4N][(CH3)4N]ZnCl4

ABSTRACT The hybrid crystal [(C2H5)4N][(CH3)4N]ZnCl4 was studied using several experimental methods. DSC studies revealed the first order phase transition to the high temperature phase at about 496 K. This phase transition was confirmed in dielectric studies. Optical observation revealed the domain structure appearance characteristic for that of the phase transition between tetragonal and orthorhombic phases. This phase transition shows a lowering of symmetry as in the case of bromide analogs. Additionally, the optical studies showed the appearance of a number of cracks in the sample and in some cases, the samples became milky after cooling from the high temperature to the room temperature phase.
Review

Cranial sonography is an established procedure for the detection of neonatal intracranial hemorrhage. A 3 year experience in imaging such infants is reviewed. Representative examples are presented to comprehensively illustrate the spectrum of sonographic appearances of intracranial hemorrhage and its complications from the initial hemorrhage to resolution. Diagnostic problems in the initial staging of the grade of hemorrhage and in evaluating subsequent ventricular changes are addressed.
Rice Science and Technology

Part 1 Storage: Brown rice stabilization, Elaine T. Champagne storage stability of extrusion stabilized and parboiled rice bran, Don R. McCaskill and Frank T. Orthoefer effect of storage on the physicochemical properties and quality factors of rice, Joseph Chrastil. Part 2 Quality: Breeding for rice quality, Kent S. McKenzie new methods for the evaluation of rice quality and related terminology, David E. Kohlwey degree of milling, James I. Wadsworth the influence of rice protein on rice quality, Bruce R. Hamaker enrichment of rice, Diane W. Hoffpauer and Salmen L. Wright III starch gelatinization in brown and milled rice - a study using differential scanning calorimetry, Wayne E. Marshall. Part 3 Processing: New methods and equipment for processing rice, Robert S. Satake parboiling rice with microwave energy, Lakshman Velupillai new methods for on-the-farm rice drying - solar and biomass, Lalit R. Verma microwave-vacuum drying, James I. Wadsworth role of moisture content in affecting head rice yield, Terry J. Siebenmorgen. Part 4 Utilization: Processing and utilization of rice bran in the United States, Keith L. Hargrove, Jr. food applications for modified rice starches, Roy N. Sharp and Carolyn Q. Sharp rice bran oil and its health benefits, Robert J. Nicolosi, Eugene J. Rogers, et al changing market demands for rice and rice products, Richard A. Meyers.
Informal and incidental learning in the workplace

How are people trained in today's workplace ? How can the process of continuous learning in the workplace be improved ? In today's rapidly changing world, informal approaches to learning are widely used in the workplace, but strategies for improving informal learning are urgently needed. This book responds to that need by providing an overview of informal and incidental learning methods which will enhance those methods and help to overcome barriers to their effective use. The author's recommendations for the improvement of training and human resource development give readers clear guidelines for how to apply the ideas presented here. (http://books.google.fr/books? id=s88OAAAAQAAJ&printsec=frontcover&hl=fr#v=onepage&q&f=false)
Dose-response and potential thresholds in tumour development.

ECNIS is a Network of Excellence within the European Union’s Sixth Framework Programme, Priority 5: Food Quality and Safety. It brings together some of the best European research groups in a concerted effort to achieve improved understanding of the environmental causes of cancer, of the potential of diet to prevent cancer, and of the ways by which heredity can affect individual susceptibility to carcinogens, with the ultimate aim of reducing the cancer burden in Europe. ECNIS is coordinated by Prof. Konrad Rydzynski, The Nofer Institute of Occupational Medicine, Sw. Teresy 8, 91-348 ¸Lodz, Poland. This review has been prepared as part of ECNIS Work Package 10: Mechanistic research to support cancer hazard and risk assessment.
Technical challenges in replicating serious head injuries in a dynamic rollover test

The complexity of a dynamic rollover test poses many challenges in the evaluation of its outcome and the prediction of serious injuries. The choice of an anthropomorphic test device (ATD), its initial position, restraint method, and included instrumentation can all affect the measurements made during a test. Further, impacts sustained by an ATD may not necessarily be representative of real world scenarios due to inconsistencies in its biofidelity compared to a human. The results of dynamic rollover tests, performed using different devices including the Jordan Rollover System (JRS), were analysed to determine how different methods of test setup and vehicle performance affected the measured head response of an ATD. The head contact locations of the ATDs were compared to the head injury locations of occupants in rollover crashes collected from the National Automotive Sampling Systemrs Crashworthiness Data System (NASS CDS). The results indicate that pre-test ATD positioning and in-test ATD movement are the most important factors with regard to head response. Overall the results indicate that the methods and instrumentation, including the ATD, previously used for conducting dynamic rollover tests on the JRS may not be adequate to produce and measure ATD head response that is both indicative of serious head injury and empirically sound.
Traffic Sign Detection and Recognition System for Intelligent Vehicles

Road traffic signs provide instructions, warning information, to regulate driver behavior. In addition, these signs provide a reliable guarantee for safe and convenient driving. The Traffic Sign Detection and Recognition (TSDR) system is one of the primary applications for Advanced Driver Assistance Systems (ADAS). TSDR has obtained a great deal of attention over the recent years. But, it is still a challenging field of image processing. In this thesis, we first created our own dataset for North American Traffic Signs, which is still being updated. We then decided to choose Histogram Orientation Gradients (HOG) and Support Vector Machines (SVMs) to build our system after comparing them with some other techniques. For better results, we tested different HOG parameters to find the best combination. After this, we developed a TSDR system using HOG, SVM and our new color information extraction algorithm. To reduce time-consumption, we used the Maximally Stable Extremal Region (MSER) to replace the HOG and SVM detection stage. In addition, we developed a new approach based on Global Positioning System (GPS) information other than image processing. At last, we tested these three systems; the results show that all of them can recognize traffic signs with a good accuracy rate. The MSER based system is faster than the one using only HOG and SVM; and, the GPS based system is even faster than the MSER based system.
Assessment of knowledge towards breast cancer early detection methods among female health professionals in Adigrat town public health institutions, Tigray, northern Ethiopia, 2018

Objective The main objective of the study to determine breast cancer early detection method knowledge among female health professional, Adigrat, town, Tigray, Ethiopia, 2018.Result The study assessed the knowledge of health professionals. Majority of the health professionals 55.7% (60) were founded knowledgeable and 44.3% (48) were not knowledgeable.
EVALUATION OF COMMERCIAL TRIAGE MICRO PARASITE PANEL WITH PCR FOR DETECTION OF GIARDIA LAMBLIA, ENTAMOEBA HISTOLYTICA AND CRYPTOSPORIDIUM PARVUMIN CHILDREN SUFFERING FROM DIARRHEA

The Triage parasite panel ((CerTestCrypto+Giardia+Entamoeba combo card tests ,Zaragoza(Spain), is a new qualitative enzyme immunoassay (EIA) panel for the detection of Giardia lamblia, Entamoeba histolytica/E. dispar, and Cryptosporidiumparvum in fresh or fresh, frozen, unfixed human fecal specimens.Atotal of 320 diarrhea samples were collected from children under six years who was admitted to babylon teaching hospital ,the period of study was begning from December 2020 to May 2021,microscopic examination was also performed to examine the parasite,triageimmunocromatography assay was used to identify the three type of parasite that causes diarrhea in children and also determine single or mixed infection ,also multiplex PCR to evaluate rapid immunocromatography test . Our result found there is increase prevelance of total parasitic infection in the age group (4-6) years as(51.16%) rather than (30.23%) and (18.60%) in age group (24y,<2y), respectivilly.Alsofound the most common parasite prevelence was G.lamblia(55.82%) followed byE.histolytica (29.06%) ,thenC.parvum(15.12%) in direct microscopic examination, while foundin triage immunocromatography the high prevelance of G.lamblia as (68.33%) followed by C.parvum (18.33%) and E.histolytica (13.34%),and the result the result recorded mixed parasite infection,it was found the most mixed parasite infection in the children have giardia lamblia and cryptosporidium parvum in immunocromatography assay,the immunocromatography test have sensitivity (66.67%,93.18% and 100%),for detection of intestinal parasite (E.histolytica,G.lamblia and C.parvum) respectivilly, and the specificity of our result ,by immunocromatography test (94.55%,82.61% and 100%),for E.histolytica ,G.lamblia and C.parvumrespectivilly,in conclusion the trigeimmunocromatography assay was rapid(10 minutes), sensitive and spesific method to determine single or mixed parasite infection.
The importance of scientific and technical innovation in the police investigation of gun crime

My original contribution to knowledge is the assessment of two ballistics analysis systems using the same bullets and cartridge cases to assess interoperability potential. The results are discussed in the context of policing issues representing a multidisciplinary approach to combating gun crime. Microscopic comparison of bullets and cartridge cases allows inferences to be made that objects bear marks from the same weapon. Parts of this process have been automated. Digital images of objects are stored in a database and correlations undertaken to find potential matches. An expert will decide on the most probable match based upon a range of potential candidates. All evidence should be utilised to the fullest extent, including data from ballistics systems. The success rate of the most widely used system has been quoted at between 50% and 95% suggesting that links to other crimes remain undiscovered. There are different ballistics systems available but research has only been conducted on one. There is no interoperability between systems. Data cannot be shared between different systems. An essential pre-requisite to any work on interoperability, is an understanding of the different systems and the data produced. The research aims were to design a methodology to enable the assessment of systems and to produce ammunition that can be used repeatedly as required. The aim was to conduct an experiment with two of the currently available systems. The results show variance between systems and their accuracy needs improvement. An error rate has been defined and applied to each system. The results suggest that complete interoperability of systems will only be possible with the full cooperation of the manufacturers. A limited form of interoperability focussing on data sharing may be possible. The results have implications for experts using the systems and suggest that a matching standard should be developed to make forensic ballistics analysis an objective discipline.