Miracle-dz/UniFAR-FTUs huggingface dataset:
IWGDF Guideline on diagnosis, prognosis and management of peripheral artery disease in patients with a foot ulcer and diabetes

The International Working Group on the Diabetic Foot (IWGDF) has published evidence-based guidelines on the prevention and management of diabetic foot disease since 1999. This guideline is on the diagnosis, prognosis and management of peripheral artery disease in patients with foot ulcers and diabetes and updates the previous IWGDF guideline. Up to 50% of patients with diabetes and foot ulceration have concurrent peripheral artery disease (PAD), which confers a significantly elevated risk of adverse limb events and cardiovascular disease. We know that the diagnosis, prognosis and treatment of these patients are markedly different to patients with diabetes who do not have PAD and yet there are few good quality studies addressing this important sub-set of patients. We followed the GRADE methodology to devise clinical questions and critically important outcomes in the PICO format, to conduct a systematic review of the medical-scientific literature, and to write recommendations and their rationale. The recommendations are based on the quality of evidence found in the systematic review, expert opinion where evidence was not available, and a weighing of the benefits and harms, patient preferences, feasibility and applicability, and costs related to the intervention. We here present the updated 2019 guidelines on diagnosis, prognosis and management of PAD in patients with a foot ulcer and diabetes, and we suggest some key future topics of particular research interest. © 2019 The International Working Group on the Diabetic Foot IWGDF PAD Guideline
DRX : A LOD browser and dataset interlinking recommendation tool

With the growth of the Linked Open Data (LOD) cloud, data publishers face a new challenge: finding related datasets to interlink with. To face this challenge, this paper describes a tool, called DRX, to assist data publishers in the process of dataset interlinking and browsing the LOD cloud. DRX is organized in five main modules responsible for: (i) collecting data from datasets on the LOD cloud; (ii) processing the data collected to create dataset profiles; (iii) grouping datasets using cluster algorithms; (iv) providing dataset recommendations; and (v) supporting browsing the LOD cloud. Experimental results show that DRX obtains good overall MAP when applied to real-word datasets, which demonstrates the ability of DRX to facilitate dataset interlinking.
MODELING OF A THREE-PHASE APPLICATION OF A MAGNETIC AMPLIFIER

In the process of designing an electric power supply system for an aircraft, parameters like low weight and low losses are important. Reliability and robustness are other important factors. In the Saab Gripen aircraft the design of the primary power supply of the electric flight control system was updated by exchanging from a switching transistor regulator to a magnetic amplifier (mag amp). By introducing a mag amp design, weight was saved and we got a more reliable unit at a lower price.
RESOURCE ALLOCATION OPTIMIZATION BASED ON CHANNEL QUALITY FOR LONG TERM EVOLUTION SYSTEMS (LTE)

In this paper we focus on an important task of the eNodeB in the architecture of LTE networks, the RRM (Radio Resource Management) its goal is to accept or reject network connection requests, ensuring optimum distribution of radio resources between UEs (Users equipment). It consists mainly of two elements AC (Admission Control) and PS (Packet Scheduling). In this work we will focus on the PS, which achieves an efficient allocation of radio resources in both directions is to say Uplink (considered in our case) and downlink. Several approaches and algorithms have been proposed in the literature to address this need (allocate resources effectively) this diversity and variety of algorithms is related to the factors considered for the optimal management of radio resource, specifically the type of traffic and requested QoS by the EU. In this paper a study of several scheduling algorithms proposed for LTE (uplink and downlink) is made. Therefore, we offer our evaluation and reviews. In this paper we are interested in the allocation of radio resources in LTE uplink (uplink) in particular with a comparative study between the scheduling algorithms flows that are: Round Robin (RR) Max Min Fair (MMF ), Maximum-Largest Weighted Delay First (M-LWDF) and Exponential Proportional Fair (PF EXP). We considered the real-time stream or RT (Video and VoIP), considering the QoS criteria: time, spectral efficiency and throughput. The results obtained show the advantages and disadvantages of using one algorithm over another.
What about microparticles ? Perspectives and practical aspects Microparticulele . Perspective i aspecte practice

The first description of microparticles dates back to 1967, when Wolf reported platelet membrane fragments in human plasma and called them “platelet dust”. These vesicles were later called microparticles and the knowledge about their characterization and function has advanced since then. The generation of microparticles represents a mechanism of intercellular communication, playing various roles in both physiological and pathological conditions. Besides other multiple roles in pathology such as inflammation, atherogenesis and cancer spreading, platelet-derived microparticles are involved in thrombogenesis. Tissue factor and phosphatidylserine are both exposed on the outer membrane of platelet-derived microparticles, providing catalytic procoagulant surfaces. The evaluation of microparticles may represent a possible investigation and diagnostic tool. Their enumeration and characterization is challenging and flow cytometry remains the most widely used method for the analysis of microparticles. The aim of the authors is to review the most relevant information on the main properties, mechanisms of generation, and clinical relevance of platelet-derived microparticles, since their evaluation is increasingly considered as a diagnostic biomarker.
The Price of Asymmetric Dependence: International Evidence

Asymmetric dependence between stock returns and market returns is significantly priced in international equity returns. Of all the commonly considered factors, asymmetric dependence is the only factor priced in all 38 markets examined. Internationally, investors require additional compensation to hold assets displaying asymmetric dependence. The degree of asymmetric dependence increases faster in countries experiencing stronger growth in their financial markets. Asymmetric dependence is stronger in fast-developing equity markets than in the US market. Our findings support recognition of asymmetric dependence as a risk factor that has significant implications for, inter alia, asset pricing, cost of capital, and performance evaluation of international equities.
Phonetic conditioning of word frequency and contextual predictability effects in American English conversational speech

Previous studies [1, 3, 5, 6, 8, 11, 19] have shown that words and segments are reduced more when the context consists of more frequent and more predictable words. This study examined these effects as evidenced in the duration and the second formant (F2) of the vowels in monosyllabic CVC words in the Buckeye Corpus [16]. F2 was measured at five timepoints during the entire duration of the vowels. We found that both higher word and bigram frequency are associated with higher F2 in front vowels (giving a fronter, more extreme quality), while vowel duration shortened or remained the same with higher frequency of both kinds. F2 also increases with higher frequency regardless of the consonantal effect, indicating that higher frequency may make the vowels more resistant to the coarticulatory influence of the consonants. This finding suggests that the more the word is used, the more strongly it is produced in conversation [13, 14, 18].
Determinants of Net Interest Margin of Listed Deposit Money Banks in Nigeria

Consolidation of banks that took place in Nigeria in recent years has sparked up public debates on the influence and importance of net interest margin as a performance index in the banking industry. This study examines the determinants of net interest margin of listed deposit money banks in Nigeria. The study formulates four hypotheses and applies longitudinal panel data regression to analyse the relationship between the dependent variable, net interest margin and the independent variables, bank credit risk, bank operating cost, bank liquidity risk and bank size of the sampled banks. Furthermore, the study utilises secondary data extracted from the financial statements of the banks over the period 2007 through to 2014. The result of the GLS random regression provides evidence that bank liquidity risk, bank operating cost and bank size has a significant impact on net interest margin of listed sampled deposit money banks in Nigeria. It also shows that bank credit risk has no significant impact on net interest margin of listed sampled deposit money banks in Nigeria. Based on the findings, the study recommends among others that the apex bank should provide incentive to ensure a competitive banking environment that will motivate banks to manage their liquidity risk, because it is liquidity risk that drives the net interest margin of listed deposit money banks in Nigeria. Also, deposit money banks should emphasize on the policy of manageable reduction in the bank operating cost in order not to affect the efficient and effective banking environment.
Antioxidant / antimicrobial potential of Emblica officinalis Gaertn and its application as a natural additive for shelf life extension of minced chicken meat

Indian gooseberry (Emblica officinalis Gaertn.) is an important fruit used in traditional Indian medicine. Gooseberry was air and freeze dried. The major bioactive components, antioxidant and antibacterial activity of freeze dried (FD) and air dried (AD) gooseberry extracted with three solvents were assessed. Overall, AD gooseberry extracted with 70% ethanol had the highest yield of bioactive compounds. The major phytochemicals identified in the extract by high performance liquid chromatography with UV-visible detector (HPLC-UV-vis) was ascorbic acid, caffeic acid, ellagic acid and ferulic acid. Gram positive bacteria tested were more sensitive to gooseberry extract (GE) as compared to Gram negative organisms. In minced chicken meat, GE was an effective natural food additive as it enhanced its shelf life during chilled storage. GE minimized both bacterial spoilage and oxidative rancidity in chicken. Air dried gooseberry extract (AD-GE) due to its antioxidant and antibacterial activities can be efficiently used as a natural food additive in meat preservation.
ON BROWN ROT ( RALSTONIA SOLANACEARUM RACE 3 , BIOVAR 2 , PHYLOTYPE IIB ) EPIDEMIOLOGY AND CONTROL IN THE NETHERLANDS SINCE 1995 : A SUCCESS STORY OF INTEGRATED PEST MANAGEMENT *

The disease brown rot of potato, caused by the bacterium Ralstonia (Pseudomonas) solanacearum (Rsol), Race 3, biovar 2 (R3b2), was found for the first time in 1992 in a potato field in The Netherlands and caused an outbreak in the warm summer of 1995 that appeared to be connected to use of contaminated irrigation water as in other outbreaks in western Europe at that time. The Dutch Plant Protection Service (PPS) immediately took action and started to test all traded seed for (latent) infections, applied strict control measures upon positive detections, and started an intensive survey of surface water contamination. In later years the control measures and testing procedures for Rsol in different substrates, laid down in an EU Directive, were followed. The PPS also conducted intensive applied research (in cooperation with the University of Wageningen, Plant Research International, and foreign research Institutions, also in the framework of an EU-SMT project on the EU brown rot testing method to unravel the complex epidemiology of the pathogen and to improve its detection and identification. These actions have led over a ca. 15-year period to a drastic reduction, actually a functional eradication (only one single finding in 2009/2010 and 2010/2011), of the disease from the production system. A main factor in the combat was a nation-wide irrigation ban for seed potatoes since 2005. The PPS coordinated two EU-funded projects, where the UK, The Netherlands, Belgium and France assisted Egypt in implementing a brown rot safe potato production system. In this project substantial epidemiological research was conducted. This article wants to be a reflection on the work done and the results obtained by the PPS and has a glance into the future, where it will be indicated that the persisting presence of Rsol in surface water necessitates an enduring alert and actively maintained control and survey system. The main lessons learned are: stay away, if
Silencing of the HER 2 / neu Gene by siRNA Inhibits Proliferation and Induces Apoptosis in HER 2 / neu – Overexpressing Breast Cancer Cells 1

In eukaryotes, double-stranded (ds) RNA induces sequence-specific inhibition of gene expression referred to as RNA interference (RNAi). We exploited RNAi to define the role of HER2/neu in the neoplastic proliferation of human breast cancer cells. We transfected SK-BR-3, BT-474, MCF-7, and MDA-MB-468 breast cancer cells with short interfering RNA (siRNA) targeted against human HER2/neu and analyzed the specific inhibition of HER2/neu expression by Northern and Western blots. Transfection with HER2/ neu–specific siRNA resulted in a sequence-specific decrease in HER2/neu mRNA and protein levels. Moreover, transfection with HER2/neu siRNA caused cell cycle arrest at G0/G1 in the breast cancer cell lines SKBR-3 and BT-474, consistent with a powerful RNA silencing effect. siRNA treatment resulted in an antiproliferative and apoptotic response in cells overexpressing HER2/neu, but had no influence in cells with almost no expression of HER2/neu proteins like MDA-MB-468 cells. These data indicate that HER2/neu function is essential for the proliferation of HER2/neu– overexpressing breast cancer cells. Our observations suggest that siRNA targeted against human HER2/neu may be valuable tools as antiproliferative agents that display activity against neoplastic cells at very low doses. Neoplasia (2004) 6, 786–795
11-29-2018 VALUE CO-CREATION IN AIRBNB : A SOCIAL CAPITAL PERSPECTIVE

In this conceptual study, we dig deeper into the relatively unexplored social aspects of economic P2P transactions that can pose serious implications for peer consumption behavior. As more peers adopt P2P housing accommodation platforms like Airbnb, social interactions among them increase. However, in situations when intermediaries like co-hosts or host-assistants are present, social interactions and subsequent value co-creation for guests and hosts may be affected. This study uses the foundation of social capital theory, which considers relationships as a valuable resource and recognizes its productive value which can be appropriated to an economic form and others as well. We state the formation of social capital in Airbnb and realize it through two different perspectives – resource based and networking targeting the guest-host and host-host relationships respectively. Our analysis of past research on collaborative platforms and social capital theory, leads to the formation of a framework and eight propositions. We define value co-creation separately for the guest-host and host-host relations and pave the way for future theoretical research in this area. From a practical standpoint, we highlight the role of information representation for the hosts which is critical for pairing with compatible guests for accommodation.
The strategic role of knowledge in the management of Tourism Destinations Organizations

In the last few years the idea is emerged that the resources of a company are the basis of its competitive strategy (Porter 1990) and that “knowledge” and competencies are one of the most important strategic resources (Grant, 1996). A full definition of what “knowledge” is goes well beyond the objective of this paper, the whole history of western philosophy may be seen as an attempt to answer the questions posed almost 2500 years ago by Plato in Theaetetus: “What is knowledge? Can we answer that question? ”. From a general point of view, we are here less interested in defining knowledge than in examining what are its role and importance. The focus is not on discovery of “truth”, but on the effective action and performance. For the following discussion, therefore, we may limit ourselves to use Plato’s preliminary definition of “true belief with a reason” and consider knowledge as a justified belief that increases an entity’s capacity for effective action (Nonaka, 1994). In this meaning the knowledge corpus is a sort of “by-product” of the processing of data and information that are filtered, weighted, evaluated and classified by any organization, that is: “knowledge is information that changes something or somebody either by becoming grounds for actions, or by making an individual (or an institution) capable of different or more effective action” (Drucker, 1989). Nowadays it is almost a commonplace to say that the whole economy may be seen as an information and a network economy, in essence a knowledge-based information economy (OECD 1995). Being perhaps the largest sector of the world’s economy it is no surprise that the tourism sector is strongly influenced by these concepts. For tourism as a service industry, information is one of
Lifestyle Management for Patients With Coronary Heart Disease

This text is designed to provide health care professionals with techniques for helping patients change their unhealthy behaviours and improve their quality of life following a coronary heart disease (CHD) event. Separate chapters focus on specific risk factors including exercise, smoking, diet, stress, and medications. Each of these chapters provide methods for helping patients adopt and maintain lifestyle changes in these areas, including questionnaires and logs. The principal focus of this monograph is on patients with established CHD, but many of the principles can also be applied to patients at high risk for developing cardiovascular disease.
A Novel Resveratrol-Arsenic Trioxide Combination Treatment Synergistically Induces Apoptosis of Adriamycin-Selected Drug-Resistant Leukemia K562 Cells

Leukemia cells can develop resistance to apoptosis induced by chemotherapeutic agents. Concomitant multidrug resistance of cells remains the greatest clinical obstacle in the effective treatment of blood and solid tumors. Natural products have been identified that possess the capacity to modulate chemotherapeutic resistance and induce apopotosis. In this study, we generated adriamycin-resistant K562 leukemia (K562/RA) cells and compared the responses of sensitive and resistant leukemia cells to the natural products arsenic trioxide (ATO) and resveratrol (Rsv), with a view to determining whether Rsv potentiates the sensitivity of drug-resistant cells to ATO-induced apoptosis and the associated molecular mechanisms. Our results showed that resistance of K562/RA cells induced by adriamycin treatment was significantly higher (115.81-fold) than that of parental K562 cells. Simultaneously, K562/RA cells were cross-resistant to multiple agents, with the exception of ATO. Rsv enhanced the sensitivity of K562/RA cells to ATO and reduced the required dose of ATO as well as associated adverse reactions by promoting the proliferation inhibitory and apoptosis-inducing effects of ATO, which may be associated with reduced expression of the drug resistance genes mdr1/P-gp, mrp1/MRP1 and bcrp/BCRP, as well as the apoptotic inhibitory genes bcl-2, NF-κB and P53, and conversely, activation of caspase-3. Our collective findings indicate that ATO and Rsv synergistically enhance the sensitivity of drug-resistant leukemia cells to apoptosis.
Adaptation of a Deep Learning Algorithm for Traffic Sign Detection

Traffic signs detection is becoming increasingly important as various approaches for automation using computer vision are becoming widely used in the industry. Typical applications include autonomous driving systems, mapping and cataloging traffic signs by municipalities. Convolutional neural networks (CNNs) have shown state of the art performances in classification tasks, and as a result, object detection algorithms based on CNNs have become popular in computer vision tasks. Two-stage detection algorithms like region proposal methods (R-CNN and Faster R-CNN) have better performance in terms of localization and recognition accuracy. However, these methods require high computational power for training and inference that make them difficult to apply in real-time applications. One-stage detection algorithms like Single Shot Multibox (SSD) and You Only Look Once (YOLO) are designed to be faster, but their accuracy is lower compared with the two-stage detector methods. In this project, a traffic sign detection algorithm is presented, which is inspired mainly by the SSD algorithm and its variants. The number of layers and the number of scales for object detection were modified to obtain the best balance in accuracy and speed detection. Experimental tests of this method over a traffic sign dataset give results of 93.75% mAP versus 89.35% mAP obtained using standard SSD+MobileNet, the speed of detection is 0.0124 s per image on a GPU.
Perceived need of mental health care identified residents, administrators, and direct care staff of an assisted living facility

This study intended to determine whether there was disparity between the mental health needs of residents and the awareness of those needs by administrators and direct care staff of an assisted living facility (ALF). This study used the Center for Epidemiologic Studies Depression Scale, Generalized Anxiety Disorder Scale, and Schedule for Affective Disorder and Schizophrenia for School Aged Children-Lifetime Version to assess 25 randomly selected residents for symptoms of anxiety or depression. The 7 administrators and 11 staff of the ALF where the residents lived were asked to complete a semi-structured interview, determining their perception of depression and anxiety in each of the participating residents. The results reveal that the administrators and staff of the ALF tend to overestimate the symptoms of depression and anxiety among the participating residents. Interestingly, according to the assessment instruments, the majority of participating residents exhibited a sub-clinical level of symptoms, and only a few met the criteria for a diagnosis. The semi-structured interviews revealed 2 themes of protective Mental Health Care iv factors for many residents’ faith and family support. The data also suggest that despite the staff’s perception of mental health concerns among the residents, the ALF is deficient in offering or providing appropriate services. This disparity between the perceived mental health needs of the ALF residents and the services provided by the ALF needs to be addressed. The implications for future research and policy include further examination of how to engage ALF residents in mental health services, particularly if the administrators and staff are aware of a resident’s symptoms. Mental Health Care v Table of