Miracle-dz/UniFAR-FTUs huggingface dataset:
Dairy Fats and Cardiovascular Disease: Do We Really Need to Be Concerned?

Cardiovascular diseases (CVD) remain a major cause of death and morbidity globally and diet plays a crucial role in the disease prevention and pathology. The negative perception of dairy fats stems from the effort to reduce dietary saturated fatty acid (SFA) intake due to their association with increased cholesterol levels upon consumption and the increased risk of CVD development. Institutions that set dietary guidelines have approached dairy products with negative bias and used poor scientific data in the past. As a result, the consumption of dairy products was considered detrimental to our cardiovascular health. In western societies, dietary trends indicate that generally there is a reduction of full-fat dairy product consumption and increased low-fat dairy consumption. However, recent research and meta-analyses have demonstrated the benefits of full-fat dairy consumption, based on higher bioavailability of high-value nutrients and anti-inflammatory properties. In this review, the relationship between dairy consumption, cardiometabolic risk factors and the incidence of cardiovascular diseases are discussed. Functional dairy foods and the health implications of dairy alternatives are also considered. In general, evidence suggests that milk has a neutral effect on cardiovascular outcomes but fermented dairy products, such as yoghurt, kefir and cheese may have a positive or neutral effect. Particular focus is placed on the effects of the lipid content on cardiovascular health.
Asthma prevalence in Tokelauan children in two environments

The prevalence of asthma has been studied in Tokelauan children aged 0–14 years in two environments—Tokelau and New Zealand. Only 11.0% of the 706 children examined in Tokelau were classified as asthmatic, whereas 25.3% of the 1,160 children seen in New Zealand were asthmatic.
[The changes of IGF-I in testis and epididymis on a rat model with oligozoospermia/azoospermia induced by cyclophosphamide].

OBJECTIVE To evaluate the effect of the levels of IGF-I in the epididymis and the expression of IGF-I in the testis of adult male rat after the administration of cyclophosphamide. METHODS Ninety-six male adult rats (8 weeks age) were divided into 6 groups. The doses given to the rats of the groups 1 to 5 were 10, 20, 40, 80 and 100 mg/(kg x d), respectively. The remaining group was served as control. All those rats were sacrificed and IGF-I were quantitatively determined by ELISA techniques 2 and 4 weeks after the administration of the drug (by gastric fudge). Immunohistochemical SP technique was used to examine expression of IGF-I in rat testis. RESULTS The levels of cell factors (IGF-I) in the epididymis of the rats were gradually reduced with the increasing time and dose after administration of the drug. In the mean time the expression of IGF-I in the tissues of the testis of those rats were also gradually reduced. CONCLUSION In the time of oligozoospermia/azoospermia induced by the administration of cyclophosphamide, the expression levels of IGF-I in the genetic system were significantly reduced. The possible mechanism of these changes could be attributed to the lower spermatogenesis function of the testis caused by the administration of cyclophosphamide.
Detection and characterization of lower LIDT regions in KDP material

At very high powers the energy for a single shot in the LIL/LMJ laser is today limited among others by the robustness of the KDP-based components used for frequency conversion. Subsequently it is vitally important to improve as much as possible the Laser Induced Damage Threshold (LIDT) of these components to make possible even more powerful shots. The exceptionally large aperture of such lasers (40*40 cm2) required the development of rapid growth methods. Investigations are under way to improve the damage resistance of such materials by implementing more efficient conditioning procedures. In this work we focus on composition heterogeneities induced by the rapid growth method in KDP crystals and we examine the impact on the laser-damage resistance. Two LIDT measurement facilities are used to investigate KDP triplers robustness. Spatially resolved LIDT measurements at 355 nm show that the LID resistance is significantly lower in some regions. The efficiency of the excimer conditioning in the different regions is also addressed.
Human computer interface using hand gesture recognition based on neural network

Gesture is one of the most vivid and dramatic way of communications between human and computer. Hence, there has been a growing interest to create easy-to-use interfaces by directly utilizing the natural communication and management skills of humans. This paper presents a hand gesture interface for controlling media player using neural network. The proposed algorithm recognizes a set of four specific hand gestures, namely: Play, Stop, Forward, and Reverse. Our algorithm is based on four phases, Image acquisition, Hand segmentation, Features extraction, and Classification. A frame from the webcam camera is captured, and then skin detection is used to segment skin regions from background pixels. A new image is created containing hand boundary. Hand shape features extraction, are used to describe the hand gesture. An artificial neural network has been utilized as a gesture classifier, as well. 120 gesture images have been used for training. The obtained average classification rate is 95%. The proposed algorithm develops an alternative input device to control the media player, and also offers different gesture commands and can be useful in real-time applications. Comparisons with other hand gesture recognition systems have revealed that our system shows better performance in terms accuracy.
The Supply Chain Network on Cloud Manufacturing Environment Based on COIN Model with Q-Learning Algorithm

Cloud manufacturing is applied to a lot of fields to innovate more advanced development structure for industrial 4.0 while the supply chain network in cloud manufacturing context displays more transparent information communication with each agent. At the same time, each participant in this kind of environment can make decisions refer more information and adapt more advanced algorithm to raise the profit and reduce the cost. In this paper, we use COIN (collective intelligence) model to simulate a dynamic market with basic four roles and access the Q-learning algorithm to manage the supply chain. We conclude that the Q-learning used in retailers will lead the trendy of regular performance to a stable state although the time it cost to reach the optimal state is not always short.
Pressure Difference Between the Anterior Chamber and the Vitreous Cavity in Eyes with Pupillary Block

Abstract Purpose: The purpose of this study was to measure the pressure difference between the anterior chamber (AC) and the vitreous cavity (VC) in eyes with and without pupillary block. Materials and methods: Seven vitrectomized porcine eyes were used. Infusion pressures of 10–80 mmHg were generated with a vented gas forced infusion system. Measurements of pressure were obtained with digital manometry connected to 25-gauge catheters from the AC and VC simultaneously. After increasing AC pressure to each target pressure, VC pressure was recorded, and vice versa. Inspection was performed with portable slit-lamp biomicroscopy to identify the development of pupillary block at the end of each experiment. Results: When the AC pressure was increased, the VC pressure obtained was similar to the AC pressure in all cases. When the VC pressure increased, the AC pressure obtained was similar to that at a VC pressure of less than 50 mmHg. When the VC pressure was increased rapidly to 60, 70, and 80 mmHg, the AC pressures obtained were 57.6 ± 1.0, 64.0 ± 0.8, and 69.6 ± 2.4 mmHg, respectively. Thus, the VC pressures obtained were 1.5, 5.9, and 9.1 mmHg higher than pressures obtained from AC with target pressures of 60, 70, and 80 mmHg, respectively (p = 0.027, 0.001, and 0.001, respectively). Pupillary block was observed in cases where the VC pressure was increased to more than 50 mmHg. Conclusions: The AC pressure could be significantly lower than the VC pressure in some eyes with pupillary block.
THE “ NEW PUBLIC MANAGEMENT ” IN THE 1980 s : VARIATIONS ON A THEME

Changes in public sector accow~ting in a number of OECD countries over the 198Bs were central to the rise of the “New Public Mulaganent” (NPM) and its asso&md doctrks of public accoumabihty and organizitiooal best practice. lhis paper d&uases theriseofNPMuulalvmativetothetnditionofpuMic accountabilityembodiedin pmgmssive-era public admin&ra&n ideas. It argues that, in spite of allegations ofintem? tionalintionurdtheadoptionofanewgiobalp;udigminpuMic mylaganent,d==w= considerable variation in the extent to which different OECD countries xlopted NPM over the 19t3Os. It further argues that conventiortal expMm&u of the rise of NPM (“w, party pohticai incumbency, etonomic~tecorduldgovanment~)seanhudtosust? inevcn6romarrl? tivclybrief inspectionofsuchaossnationaldua~ucavailable,uldthatulaplul? tionbvedoninitialendowmcnt maygiveusaditkrentpeqectiveonthosechanges.
Electrostatic deposition of silica nanoparticles between E‐glass fibers and an epoxy resin

The achievement of optimum adhesion between a thermoset and an inorganic material is an important goal for the composites and coatings industries. There is a growing interest in the use of structural surface modifiers, such as nanotubes, nanoparticles, and whiskers, to improve this adhesion. Here, a method for electrostatically depositing poly(ethylene imine)-functionalized silica nanoparticles onto E-glass fibers was developed. The deposition of 26-nm functionalized particles onto glycidyloxypropyltrimethoxysilane (GPS)-functionalized E-glass fibers and then their embedding in a resin of diglycidyl ether of bisphenol A and m-phenylene diamine increased the interfacial shear strength (IFSS) 35% over that of bare fibers and 8% over that of GPS-functionalized fibers. IFSS was highly dependent on the particle size; the 16-nm functionalized particles had little effect on the IFSS. When the particles size was increased to 71 and 100 nm, this led to increasingly poor IFSS values, whereas the 26-nm particles produced the best results. Similar results were seen with the transverse flexural strength of the unidirectional composites. © 2014 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2015, 132, 41516.
Inflammation Modulates Murine Venous Thrombosis Resolution In Vivo: Assessment by Multimodal Fluorescence Molecular Imaging

Objective—Assessment of thrombus inflammation in vivo could provide new insights into deep vein thrombosis (DVT) resolution. Here, we develop and evaluate 2 integrated fluorescence molecular-structural imaging strategies to quantify DVT-related inflammation and architecture and to assess the effect of thrombus inflammation on subsequent DVT resolution in vivo. Methods and Results—Murine DVT were created with topical 5% FeCl3 application to thigh or jugular veins (n=35). On day 3, mice received macrophage and matrix metalloproteinase activity fluorescence imaging agents. On day 4, integrated assessment of DVT inflammation and architecture was performed using confocal fluorescence intravital microscopy. Day 4 analyses showed robust relationships among in vivo thrombus macrophages, matrix metalloproteinase activity, and fluorescein isothiocyanate-dextran deposition (r>0.70; P<0.01). In a serial 2–time point study, mice with DVT underwent intravital microscopy at day 4 and day 6. Analyses revealed that the intensity of thrombus inflammation at day 4 predicted the magnitude of DVT resolution at day 6 (P<0.05). In a second approach, noninvasive fluorescence molecular tomography-computed tomography was used and detected macrophages within jugular DVT (P<0.05 versus sham controls). Conclusion—Integrated fluorescence molecular-structural imaging demonstrates that the DVT-induced inflammatory response can be readily assessed in vivo and can inform the magnitude of thrombus resolution.
The Development of a Mobile Terminal Middleware Platform Based on HTML5

With the rapid development of wireless communication technology and the proliferation of mobile devices, mobile applications are more and more widely used. Depending on the characteristics that the existing mobile applications need long development cycles depending on a variety of mobile devices, this paper puts forward an HTML5-based mobile middleware on the basis of the traditional middleware and mobile middleware. The mobile middleware uses the B/C/S hybrid architecture and shields the differences between the hardware and software of mobile devices, which enables developers to develop applications that are suitable for mobile terminal platforms according to MVC pattern. Compared with other middlewares, HTML5-based mobile middleware has the advantages of short develop cycle, low cost and low difficulty as well as good expansibility.
cient Coding Schemes for the Hard-SquareModel

The hard-square model, also known as the two-dimensional (1;1)-RLL constraint, consists of all binary arrays in which the 1's are isolated both horizontally and vertically. Based on a certain probability measure de ned on those arrays, an e cient variabletoxed encoder scheme is presented that maps unconstrained binary words into arrays that satisfy the hard-square model. For su ciently large arrays, the average rate of the encoder approaches a value which is only 0:1% below the capacity of the constraint. A second, xed-rate encoder is presented whose rate for large arrays is within 1:2% of the capacity value.
The case for caution in predicting scientists' future impact

We stress-test the career predictability model proposed by Acuna et al. [Nature 489, 201-202 2012] by applying their model to a longitudinal career data set of 100 Assistant professors in physics, two from each of the top 50 physics departments in the US. The Acuna model claims to predict h(t+\Delta t), a scientist's h-index \Delta t years into the future, using a linear combination of 5 cumulative career measures taken at career age t. Here we investigate how the "predictability" depends on the aggregation of career data across multiple age cohorts. We confirm that the Acuna model does a respectable job of predicting h(t+\Delta t) up to roughly 6 years into the future when aggregating all age cohorts together. However, when calculated using subsets of specific age cohorts (e.g. using data for only t=3), we find that the model's predictive power significantly decreases, especially when applied to early career years. For young careers, the model does a much worse job of predicting future impact, and hence, exposes a serious limitation. The limitation is particularly concerning as early career decisions make up a significant portion, if not the majority, of cases where quantitative approaches are likely to be applied.
Detecting Major Genetic Loci Controlling Phenotypic Variability in Experimental Crosses

Traditional methods for detecting genes that affect complex diseases in humans or animal models, milk production in livestock, or other traits of interest, have asked whether variation in genotype produces a change in that trait’s average value. But focusing on differences in the mean ignores differences in variability about that mean. The robustness, or uniformity, of an individual’s character is not only of great practical importance in medical genetics and food production but is also of scientific and evolutionary interest (e.g., blood pressure in animal models of heart disease, litter size in pigs, flowering time in plants). We describe a method for detecting major genes controlling the phenotypic variance, referring to these as vQTL. Our method uses a double generalized linear model with linear predictors based on probabilities of line origin. We evaluate our method on simulated F2 and collaborative cross data, and on a real F2 intercross, demonstrating its accuracy and robustness to the presence of ordinary mean-controlling QTL. We also illustrate the connection between vQTL and QTL involved in epistasis, explaining how these concepts overlap. Our method can be applied to a wide range of commonly used experimental crosses and may be extended to genetic association more generally.
City clusters in China: air and surface water pollution

City clusters are made up of groups of large, nearly contiguous cities with many adjoining satellite cities and towns. Over the past two decades, such clusters have played a leading role in the economic growth of China, owing to their collective economic capacity and interdependency. However, the economic boom has led to a general decline in environmental quality. This paper will review the development and current status of the major environmental problems caused by city clusters, focusing on water and air pollution, and suggest possi- ble strategies for solving these problems. Currently, deteriorating water quality is of major concern to the pub- lic and decision makers alike, and more than three-quarters of the urban population are exposed to air quality that does not meet the national ambient air quality standards of China. Furthermore, this pollution is charac- terized by high concentrations of both primary and secondary pollutants. Environmental pollution issues are therefore much more complex in China than in western countries. China is expected to quadruple its GDP by 2020 (using 2000 as the base year for comparison) and, consequently, will face even more serious environmen- tal challenges. Improving energy efficiency and moderating the consumption of natural resources are essential if China is to achieve a balance between economic development and environmental health.
ICT-enabled Value Creation in Community Pharmacies: An Applied Design Science Research Approach

Pharmacist-patient communication is currently limited to infrequent encounters in pharmacies, which limits the delivery of and value created by pharmacy services. We seek to better understand how ICT can enable value creation by extending pharmacistpatient communication beyond these encounters. In an applied design science research study with 21 Swiss community pharmacies, we designed an artifact that unleashes the provision of pharmacy services from personal encounters. We investigate (1) strategic intent for extending the communication, (2) business model requirements that are generated, (3) ICT capabilities that need to be developed, and (4) value that is created by the artifact instantiation. The findings can help healthcare practitioners to gain a better understanding of their current and future value proposition and policy-makers can (re-)consider the role of pharmacies and ICT-enablement in healthcare reforms. The presented process and artifact evaluation can contribute to the scientific dialog on coevolution of artifact design and value creation.
New WDM amplified network for optical sensor multiplexing

A wavelength-division-multiplexing system for optical sensors with hybrid star-bus topology is shown experimentally. The star section of the network is formed by an erbium-doped fiber ring laser used as simultaneous-multiple-wavelength-operation source and distribution scheme. This topology is compared to an amplified double-bus configuration with a single-wavelength tunable source. Signal power, signal-to-noise ratio, and crosstalk are analyzed for both structures. Practical limitations of both schemes are also discussed.
Big Data Orchestration as a Service Network

This article argues that a big data network joint SDN, together with cloud and fog computing platforms, can build a service chain network. In SDN, the purpose is to reduce a large amount of redundant data and response time. We propose a novel Big Data Orchestration as a Service (BDOaaS) as the networking framework, which can dynamically orchestrate big data into services in SDN. In BDOaaS networking, the data center distributes software to all devices in the distributed network, which can orchestrate big data into services in the distributed network; the services- oriented network model is formed. Thus, the network load and response time is reduced. The BDOaaS framework and various components of BDOaaS as well as operation mechanisms are discussed in detail. Simulation results are presented to show the effectiveness of the proposed BDOaaS framework. In addition, we discuss a number of challenges in implementing the proposed framework in next generation networks.
Privacy-Aware an Scalable Content Dissemination in Distributed Social Networks

, Abstract. Centralized social networking websites raise scalability issues — due to the growing number of participants — and policy concerns — such as control, privacy and ownership of users’ data. Distributed Social Networks aim to solve those by enabling architectures where people own their data and share it whenever and to whomever they wish. However, the privacy and scalability challenges are still to be tackled. Here, we present a privacy-aware extension to Google’s PubSubHubbub protocol, using Semantic Web technologies, solving both the scalability and the privacy issues in Distributed Social Networks. We enhanced the traditional features of PubSubHubbub in order to allow content publishers to decide whom they want to share their information with, using semantic and dynamic group-based deﬁnition. We also present the application of this extension to SMOB (our Semantic Microblogging framework). Yet, our proposal is application agnostic, and can be adopted by any system requiring scalable and privacy-aware content broadcasting.
Towards Distributed Emerging Pattern Mining on Itemset Streams

In this paper, we present a new approach for mining emerging patterns in itemset streams. Unlike in the classical setting, we do not assume that two datasets are given and that the task is to find itemsets occurring more often in one dataset than in the other. Instead, we look for itemsets that were seldom in the stream previously, but recently occur much more often. Our approach differs from earlier approaches in that it employs a distributed representation of the candidate space, which is scattered over a cluster of machines. This paper describes work in progress, meaning that it concentrates on the approach but lacks experimental evaluation.
Improving the translation of analgesic drugs to the clinic: animal models of neuropathic pain

Neuropathic pain remains an area of considerable unmet clinical need. Research based on preclinical animal models has failed to deliver truly novel treatment options, questioning the predictive value of these models. This review addresses the shortcomings of rodent in vivo models commonly used in the field and highlights approaches which could increase their predictivity, including more clinically relevant assays, outcome measures and animal characteristics. The methodological quality of animal studies also needs to be improved. Low internal validity and incomplete reporting lead to a waste of valuable research resources and animal lives, and ultimately prevent an objective assessment of the true predictivity of in vivo models.
Explanation Trees for Causal Bayesian Networks

Bayesian networks can be used to extract explanations about the observed state of a subset of variables. In this paper, we explicate the desiderata of an explanation and confront them with the concept of explanation proposed by existing methods. The necessity of taking into account causal approaches when sal graph is available is discussed. We then introduce causal explanation trees, based on the construction of explanation trees using the measure of causal information flow (Ay and Polani, 2006). This approach is compared to several other methods on known networks.