Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinical Study Validation of Point-of-Care Glucose Testing for Diagnosis of Type 2 Diabetes

Point-of-care (POC) glucose technology is currently considered to be insufficiently accurate for the diagnosis of diabetes. The objective of this study was to investigate the diagnostic accuracy of an innovative, interference-resistant POC glucose meter (StatStrip glucose hospital meter, Nova Biomedical, USA) in subjects with a previous history of dysglycaemia, undergoing a 75 g diagnostic oral glucose tolerance test (oGTT). Venous and capillary blood sampling for the reference laboratory procedure (RLP) and POC-glucose measurement was carried out at fasting and 2 h oGTT, and categories of glucose tolerance were classified according to 2006 WHO diagnostic criteria for the respective sample type. We found an excellent between-method correlation at fasting (r = 0.9681, P < 0.0001) and 2 h oGTT (r = 0.9768, P < 0.0001) and an almost perfect diagnostic agreement (weighted Kappa = 0.858). Within a total of 237 study subjects, 137 were diagnosed with diabetes with RLP, and only 6 of them were reclassified as having glucose intolerance with POC. The diagnostic performance of POC-fasting glucose in discriminating between the normal and any category of disturbed glucose tolerance did not differ from the RLP (P = 0.081). Results of this study indicate that StatStrip POC glucosemeter could serve as a reliable tool for the diabetes diagnosis, particularly in primary healthcare facilities with dispersed blood sampling services.
Effectiveness and efficiency of chlorophacinone poisoning for the control of muskrat (Ondatra zibethicus) populations

Abstract A muskrat‐poisoning campaign, using carrot baits containing the first generation anticoagulant chlorophacinone, was carried out by professional governmental trappers in a study area in Flanders (North Belgium). A single poisoning campaign in one half of the study area (2.07 km2) was carried out between 17 and 19 April 2000, while a similar campaign was carried out in the second half of the study area (2.66 km2) a fortnight later. The survival rate of radio‐tagged muskrats was compared between the treatment group consisting of animals that were known to have been potentially exposed to the poison baits (because they were resident inside either study area half during, and at least 5 days after, the poisoning campaign), and the non‐treatment group consisting of animals that had clearly not been exposed to the poison baits. The survival rates did not differ between the treatment and non‐treatment animals prior to the poisoning campaigns. After the poisoning campaigns, however, the survival rate of the treatment animals dropped dramatically while that of the non‐treatment animals remained constant. All treatment animals (first campaign: n = 3; second campaign: n = 7) died between the fifth and tenth day after the distribution of the baits in their environment, and all showed haemorrhage on postmortem. The majority of these animals (73%) had died above ground illustrating the danger of secondary poisoning. The study confirms that chlorophacinone, despite having been used for more than 30 years, still appears to be effective against muskrats. The labour required for both baiting campaigns, however, was substantially more than anticipated.
Drinks Juice Fish Trout Pastry BreadApple Juice Pen Writing Instruments Food & Drinks Food Coke Meat Beef Dairy Milk ButterOrange Juice Pencil

The negative association between items in databases is as important and interesting as the positive one. But, it has not been studied as much. We consider negative association in a hierarchical setting, in which we are able to generate negative association rules at different hierarchy levels. It allows to impose restrictions when we proceed to the next level and discover only most interesting negative association rules among the vast number of possible negative association rules. In this paper, we propose two algorithms for mining negative association rules by considering that items are organized in a hierarchy, and this hierarchy is reflected on the association rules we produce. In this way, we can mine for both general and specialized rules of negative association between items.
Testing the finiteness of the support of a distribution: a statistical look at Tsirelson's equation

We consider the following statistical problem: based on an i.i. d. sample of size $n$ of integer valued random variables with common law $\mu$, is it possible to test whether or not the support of $\mu$ is finite as $n$ goes to infinity? This question is in particular connected to a simple case of Tsirelson's equation, for which it is natural to distinguish between two main configurations, the first one leading only to laws with finite support, and the second one including laws with infinite support. We show that it is in fact not possible to discriminate between the two situations, even using a very weak notion of statistical test.
Degenerative alterations of the AV junction associated with organic and non-organic heart disease : calcific valvulopathy Cardiomyopathy Collagenopathies Ischemic heart disease Myocarditis Amyloidosis Congenital block Lev ’ s disease Lenègre ’ s disease Acute myocardial infarction Vagal hypertone

Two clinical cases are reported that have in common the electrocardiographic detection of a third degree atrioventricular block (AVB), which occurred in the first case in a man of 78 years, hospitalized in our unit after an accidental fall with an ensuing head trauma, and in the second case, in a woman of 67 years, after cataract surgery on her left eye. The complete or third degree AVB is a bradyarrhythmia characterized by the absence of paroxystic or permanent atrioventricular conduction. Several studies conducted on subjects between the ages of 60 and 85 pointed out that the incidence of AVB-type bradyarrhythmias of a degree greater than the first is extremely rare, i.e., it is close to zero. It is, however, necessary to make an early diagnosis of the AVB, as in many cases it may complicate the patient’s clinical progress and may often lead to sudden death. Clinical and experimental observations have shown that electrocardiographic alterations and arrhythmias are frequent complications of cerebral accidents such as head traumas, or of ophthalmic surgery. It is therefore necessary, especially in elderly patients in whom bradyarrhythmias are characterized by the presence of widespread histological alterations of the conduction system, to perform a 24-h monitoring of all adverse events that may lead to an AVB. 2009 Published by Elsevier Ireland Ltd.
Quality of Financial Reporting, Investment and Quality of Disclosure: With Stressing on Type of Financing

In this study the quality of financial reporting, investment and quality of disclosure with emphasis on type of financing of companies listed in Tehran Stock Exchange have been investigated for a period 2006 to 2011. Research method of present study is multivariate regression method based on combined data. The results of the analysis of 133 companies for a period 2006 to 2011 showed in 95% confidence level that the contrasting relationship between financial reporting quality and sensitivity of corporate investment by bank financing and financing through shares issuing is reverse. These results also indicated an inverse relationship (negative) between quality of disclosure and bank financing. Moreover, there was a significant positive correlation between quality of disclosure with financing through shares issuing and bank financing, and quality of disclosure has positive effect on sensitivity of companies’ investment.
31 Thoracolumbar Spinal Injuries

✔ Spinal fractures are frequently located at the thoracolumbar junction for biomechanical reasons ✔ The AO classification has gained widespread acceptance in Europe for the grading of thoracolumbar fractures: Type A: vertebral compression fractures; Type B: anterior and posterior column injuries with distraction; Type C: anterior and posterior element injury with rotation ✔ The initial focus of the physical examination of a patient with a spinal injury is on the vital and neurological functions, because effective resuscitation is critical to the management of polytraumatized patients and patients with spinal cord injury ✔ The imaging modalities of choice are standard radiographs and CT scans. A CT scan should routinely be made to visualize bony injury. MRI is helpful to diagnose discoligamentous injuries and to identify a possible cord lesion ✔ Primary goals of treatment are prevention and limitation of neurological injury as well as restoration of spinal stability, regardless of whether operative or non-operative therapy is chosen ✔ Secondary goals consist of correction of deformities, minimizing the loss of motion, and facilitating rapid rehabilitation ✔ Early stabilization and fusion is generally accepted for patients with unstable fractures and neurological deficits ✔ The optimal treatment for patients with less instability, moderate deformity and absence of neurological compromise is not based on scientific evidence and remains a matter of debate. ✔ Good clinical outcome can be achieved with non-operative as well as operative treatment
CoUagen assembly as examiwd by atomic force micnwcopy

The use of atomic force microscopy (AFM) to image the assembly of Type 1 cotlagen from monomers, through the various intemediates, to mature fibrils, has k e n demonstrated for the first time. These stages of collagen assembly were found to proceed by a stepwise process, which commenced with axially associated oligomers (height1 nm, lengths 450-1 200 nm) and proceeded by lateral and axial association through intemediate microfibrils of 2-3 nm in diameter (with periodicity -67 nm). Further assembly into larger microfibrils (>10,ûûû nm in length) that aggregated readily was observed. The end product of assembly observed in this study was a mature fibril, which demonstrated 4D-banding with a periodicity of 67 nm.
ABOUT ONE INVERSE PROBLEM OF THE LINEAR-FRACTIONAL PROGRAMMING ON GENERALIZED NETWORK

For the one linear-fractional network programming problem with additional constraints of general kind and with inexact data we constructed a mathematical model for calculation of the new parameters of the restrictions for which the infeasible solution becomes feasible solution. For the selected feasible solution of this problem we minimally changed the parameters in the numerator of the linear-fractional objective function in order that the selected feasible solution has become an optimal. The measure proximity vectors estimated are using the norm l1. That has allowed to remain within the framework of linear programming in solving of inverse problems.
Prostaglandins and Other Lipid Mediators eview roduction of EPA and DHA in aquatic ecosystems and their transfer to the land ichail

Most omnivorous animals, including humans, have to some degree relied on physiologically important polyunsaturated fatty acids (PUFAs), such as eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) from food. Only some taxa of microalgae, rather than higher plants can synthesize de novo high amounts of EPA and DHA. Once synthesized by microalgae, PUFA are transferred through trophic chain to organisms of higher levels. Thus, aquatic ecosystems play the unique role in the Biosphere as the principal source of EPA and DHA for most omnivorous animals, including inhabitants of terrestrial ecosystems. PUFA are transferred from aquatic to terrestrial ecosystems through riparian predators, drift of carrion and seaweeds, emergence of amphibiotic insects, and water birds. The essential PUFA are transferred through trophic chains with about twice higher efficiency than bulk carbon. Thereby, PUFA are accumulated, rophic transfer efficiency rather than diluted in biomass of organisms of higher trophic levels, e.g., in fish. Mankind is faced with a severe deficiency of EPA and DHA in diet. Although additional sources of PUFA supply for humans, such as aquaculture, biotechnology of microorganisms and transgenic terrestrial oil-seed producing plants are developed, natural fish production of aquatic ecosystems will remain one of the main sources of EPA and DHA for humans. Aquatic ecosystems have to be protected from anthropogenic impacts, such as eutrophication, pollution and warming, which reduce PUFA production. 36 © 2013 Published by Elsevier Inc.
Journal of Enterprise Information Management Acquiring competitive advantage in industry through supply chain integration : a case study of

Purpose – The purpose of this paper is to provide a case study of a successful corporate group, Yue Yuen Industrial Holdings Limited (abbreviated “Yue Yuen” below), which acquired its competitive advantage through supply chain management (SCM) and supply chain integration (SCI). Focusing on this as a representative example, the paper discusses the features, operations model and performance of SCM and SCI as a useful reference for business, enterprise and academia. Design/methodology/approach – Based on classical works on supply chain management, a detailed eight part questionnaire, on supplier and customer relationship management, was designed. This was completed by Yue Yuen managers. Findings – Through nearly two years of research work, it was found that Yue Yuen’s success in supply chain management lies in its large investment in information technology. It was found that a global supply chain strategy should target timeline improvements in product development and procurement to produce optimal effects in terms of cost and quality. Rather than optimizing a single process or segment of the supply chain, a firm should target improvements throughout the entire supply chain. Research limitations/implications – The framework in the case discussed in this paper provides guidance for future research in the field of supply chain management and supply chain integration by focusing on the case of a specific company and industry. Practical Implications – This paper provides some theoretical support and policy implications for the reform and development of China’s manufacturing, especially in the footwear industry. Originality/value – This paper highlights the importance of shifting from a “vertical solution” model to a “horizontal solution” model, and stresses that under this new management model, companies can use cooperation to provide customers with a full service supply chain model.
Arrival and Survival in Tropical Treefall Gaps

Most tropical tree species require light from a treefall gap at some time during their lives to reach maturity. Responses to light conditions have been dichotomized as shade-intolerant pioneers or shade-tolerant climax species (e.g., Whitmore 1975, 1982, 1989). The former typically have small, widely dispersed seeds from which juveniles establish only in gaps, while the latter typically have larger seeds that can germinate beneath the forest canopy and can persist as suppressed juveniles or grow slowly until a gap forms. According to this framework, a new gap promotes shade-intolerant regeneration through germination and shade-tolerant regeneration through release of suppressed juveniles. Truly shade-tolerant species can grow to maturity beneath the forest canopy, but even these are likely to benefit from any increases in light levels beneath the canopy (Uhl et al. 1988, Canham 1989, Lieberman et al. 1989b, Martinez-Ramos et al. 1989). Although useful, we believe this dichotomy limits views of gap dynamics by implying that each species is constrained to a specific pathway to the forest canopy. In reality, all species recruit to differing degrees from dispersal into new gaps and from release of dormant seed or juvenile banks beneath the canopy (see Martinez-Ramos et al. 1989). The probability that a tree of a given species will enter the forest canopy is a function of the joint probabilities of arriving and surviving in particular habitats. We emphasize three issues that, for any species, define probable regeneration at a given site: (1) pattern of seed arrival in gaps and beneath the canopy, (2) proportion of forest area in gap vs. closed canopy, and (3) survival to reproductive maturity of seeds landing in gaps and beneath the canopy. This view enables recruitment of tropical trees to be interpreted from the perspective of relative advantages of given characteristics within the context of those environments in which individuals with those characteristics are located.
How to Find It Better?: Cross-Learning for WeChat Mini Programs

WeChat Mini Program is a lightweight app relying on the WeChat client, which can be accessed directly from the search list without downloading and installing. Retrieval and ranking for the Mini Programs differ from traditional web search in two sides. On the one hand, as the search queries are often short and most Mini Programs contain few useful textual information, it is hard to retrieve when the user input is inaccurate. On the other hand, without user scoring and rating system like App Store and Google Play, it is hard to rank relatively better results in a more advanced position. In this paper, we propose a Cross-Learning strategy to improve the search experience, where the semantics of queries and Mini Programs are represented not by itself, but by each other. We treat the search task as an extreme multi-label classification problem where the queries are inputs and the Mini Programs are labels. We propose a N-Gram self-attention query encoder to capture the search intention behind these short queries, and carefully design the label selection strategy based on user behavior to rank higher quality Mini Programs in higher positions. Our model outperforms some state-of-the-art baselines in the offline environment, and brought improvement to our actual business in the online A/B Test, which proves the practical significance of our work.
Distributed SIP DDoS Defense with P4

SIP DDoS attack is growing and has a real threat to crippling public communication infrastructure. The standard approach to building the defense is at or near the attack destination (i.e. victim's location). This approach is struggling to keep up with the growing volume and attack sophistication. To be better prepared for future attacks, the workload needs to be distributed, and the attack needs to be mitigated as close to the attack source as possible. This paper experiments with data plane programming (P4) and control plane programming of Ethernet switches to provide first-hop detection and mitigation capability for SIP INVITE DDoS attack at every switchport. This approach creates a distributed or source-based defense component which could be added to the existing destination-based components to create a more comprehensive overall solution that is extensible, economical, and scalable against SIP DDoS attack of the future.
Dynamics of dark energy with a coupling to dark matter

Dark energy and dark matter are the dominant sources in the evolution of the late universe. They are currently only indirectly detected via their gravitational effects, and there could be a coupling between them without violating observational constraints. We investigate the background dynamics when dark energy is modeled as exponential quintessence and is coupled to dark matter via simple models of energy exchange. We introduce a new form of dark sector coupling, which leads to a more complicated dynamical phase space and has a better physical motivation than previous mathematically similar couplings.
Improving the Robustness of Online Social Networks: A Simulation Approach of Network Interventions

Online social networks (OSN) are prime examples of socio-technical systems in which individuals interact via a technical platform. OSN are very volatile because users enter and exit and frequently change their interactions. This makes the robustness of such systems difficult to measure and to control. To quantify robustness, we propose a coreness value obtained from the directed interaction network. We study the emergence of large drop-out cascades of users leaving the OSN by means of an agent-based model. For agents, we define a utility function that depends on their relative reputation and their costs for interactions. The decision of agents to leave the OSN depends on this utility. Our aim is to prevent drop-out cascades by influencing specific agents with low utility. We identify strategies to control agents in the core and the periphery of the OSN such that drop-out cascades are significantly reduced, and the robustness of the OSN is increased.
Collaborative cloud-edge computation for personalized driving behavior modeling

Driving behavior modeling is an essential component of Advanced Driver Assistance Systems (ADAS). Existing methods usually analyze driving behaviors based on generic driving data, which do not consider personalization and user privacy. In this paper, we propose pBEAM, a collaborative cloud-edge computation system for personalized driving behavior modeling. The driving behavior model is built on top of Generative Adversarial Recurrent Neural Networks (GARNN), which adapts to the dynamic change of normal driving. Transfer learning from cloud to edge improves the model performance and robustness on the edge. We prune the deep neural networks in the cloud in order to minimize the model transferring load while maximally preserve the original model performance. A personalized edge model is trained on top of the pruned model using CGARNN-Edge (Conditional GARNN), which considers drivers' personal or contextual information as additional conditions. User privacy is well protected as no personal data needs to be uploaded to the cloud. Experimental results on driving data from both real world and driving simulator show that the proposed CGARNN-Edge achieves the best performance among all the methods.
Productivity and R&D sources: evidence for Catalan firms

This paper draws on a sample of innovative Catalan firms to identify how two main sources of innovation – internal R&D and external R&D acquisition – affect productivity in the manufacturing and service industries. The sample comprises 1612 innovative firms from the fourth European Community Innovation Survey (CIS-4) during the period 2002–2004. We compare empirical results when applying the usual OLS and quantile regression techniques controlling with a non-parametric sample selection. Our results indicate the different patterns that are attributable to the two sources of innovation as we move up from lower to higher conditional quantiles. First, the marginal effect of internal R&D on productivity decreased as we moved up to higher productivity levels. Second, the marginal effect of external R&D acquisition increased as we moved up to higher productivity levels. Finally, empirical results show significant complementarities between internal and external R&D, which are higher for knowledge-intensive service sectors.
A Study on Automatic Detection of Sleep Spindles using a Long Short-Term Memory Network

Drowsiness can reduce working efficiency and result in dozing while driving. It is known that short naps in sleep stage 2 is effective for eliminating drowsiness, so further analysis of sleep stage 2 are required to clarify the relationship between nap length and quality. EEG in sleep stage 2 is characterized by the appearance of a sleep spindle and detection of this sleep spindle is thus required for analysis of this sleep stage. In this paper, we propose a method to detect a sleep spindle in the time domain using a Long Short-Term Memory (LSTM) network.