Miracle-dz/UniFAR-FTUs huggingface dataset:
Activation of IL5R and CRTH2 on Human Eosinophils Elicit a Similar Molecular Response and Reveal a Synergistic Effect

Eosinophils represent a key cell driving inflammatory processes in diseases such as asthma and eosinophilic esophagitis. The entire process of migration and activation of eosinophils is orchestrated by a myriad of molecules, among which interleukin 5 (IL5) plays a crucial role. Another receptor expressed on eosinophils is chemo-attractant receptor like expressed on Th2 cells (CRTH2). CRTH2 activation has a prominent role in stimulating Th2 and type 2 innate lymphoid cells to produce IL5 in disease tissue, but also induces eosinophils migration and adhesion. Prostaglandin D2 is the endogenous ligand of CRTH2, predominately released by activated mast cells, another key cell involved in eosinophilic diseases. Consequently, the IL5 and CRTH2 pathway are likely triggered simultaneously in eosinophils in disease tissue. Understanding the molecular effects of CRTH2 and IL5 receptor (IL5R) activated eosinophils might provide new insights for efficient eosinophils blocking. We performed gene expression profiling with isolated human eosinophils to compare the molecular signatures of CRTH2 and IL5R activation. The identified genes were confirmed using an orthogonal technology, and simultaneous IL5R and CRTH2 activation was investigated on the protein level. This study reveals that IL5R and CRTH2 activation trigger a similar molecular response in eosinophils with stronger IL5R effects. C-C chemokine ligand 2 was produced synergistically upon IL5R and CRTH2 stimulation and might contribute to monocyte and macrophage recruitment to disease tissue. The effect on C-C chemokine receptor 1 suggests that eosinophils maturation in the tissue might even occur in absence of IL5 via the CRTH2 pathway.
Sexuality, human rights, and demographic thinking: Connections and disjunctions in a changing world

This paper documents the reframing at the start of the twenty-first century of the historical debate on ethics and demography, both in terms of greater emphasis on individual rights, as opposed to the previous emphasis on the public good, and through the inclusion of a variety of new dimensions—in particular, sexuality. This shift is intrinsically related to the emergence and impact of social movements—feminists, gay and lesbian organizations, and HIV/AIDS-related initiatives— that became increasingly interconnected globally and were able to diffuse a public discourse concerning sexuality. Despite clear achievements in addressing sexuality and HIV/AIDS issues within a human rights frame, the conceptualization of ethical dimensions relating to demographic change and sexuality is not fully completed. This paper re-examines the recent and conflictive evolution of the global debate linking sexuality and human rights, identifies unresolved conceptual problems, and explores the implications of these new policy trends for demographic thinking.
Analysis of the Burmese Language using the Distributive Representation of n-gram-based Word

Less resourced languages are still difficult to treat due to the unavailability of annotated big corpora and basic natural language processing tools. This paper proposes a new method to use a character-based variable-length n-gram word model with distributive word representation techniques to reduce the number of n-gram words in data. We employed this method for news article sentiment analysis and achieved a better result than CRF-based ordinary word segmentation with a small size of supervised data. This enables to treat less resourced languages without focusing on language specific characteristics.
NSF-KITP-12-027 , SLAC-PUB-14883 , SU-ITP-12 / 08 Large-density field theory , viscosity , and “ 2 k F ” singularities from string duals

We analyze systems where an effective large-N expansion arises naturally in gauge theories without a large number of colors: a sufficiently large charge density alone can produce a perturbative string (’tHooft) expansion. One example is simply the well-known NS5/F1 system dual to AdS3×T 4×S3, here viewed as a 5+1 dimensional theory at finite density. This model is completely stable, and we find that the existing string-theoretic solution of this model yields two interesting results. First, it indicates that the shear viscosity is not corrected by α′ effects in this system. For flow perpendicular to the F1 strings the viscosity to entropy ratio take the usual value 1/4π, but for flow parallel to the F1’s it vanishes as T 2 at low temperature. Secondly, it encodes singularities in correlation functions coming from low-frequency modes at a finite value of the momentum along the T 4 directions. This may provide a strong coupling analogue of finite density condensed matter systems for which fermionic constituents of larger operators contribute so-called “2kF ” singularities. In the NS5/F1 example, stretched strings on the gravity side play the role of these composite operators. We explore the analogue for our system of the Luttinger relation between charge density and the volume bounded by these singular surfaces. This model provides a clean example where the string-theoretic UV completion of the gravity dual to a finite density field theory plays a significant and calculable role.
Unified Deep Learning with CPU, GPU, and FPGA Technologies

Deep learning and complex machine learning has quickly become one of the most important computationally intensive applications for a wide variety of fields. The combination of large data sets, high-performance computational capabilities, and evolving and improving algorithms has enabled many successful applications which were previously difficult or impossible to consider. This paper explores the challenges of deep learning training and inference, and discusses the benefits of a comprehensive approach for combining CPU, GPU, FPGA technologies, along with the appropriate software frameworks in a unified deep learning architecture. Each of these hardware technologies offers unique benefits to the deep learning problem, and a properly designed system can take advantage of this combination. Moreover, the combination can provide unique capabilities that result in higher performance, better efficiency, greater flexibility, and a hedge against algorithm obsolescence compared to CPU/GPU and FPGA systems designed separately. Aside from the underlying hardware approaches, a unified software environment is necessary to provide a clean interface to the application layer. This needs to account for several factors, including framework support, different compiler and code generator technologies, and optimization support for the underlying hardware engines. Higher-level frameworks (e.g., TensorFlow, Theano) can effectively hide most heterogeneity from application developers as well as enable portability across different systems. This is a powerful enabler for heterogeneous hardware. For application developers working below the framework level, the AMD ROCm and MIopen software frameworks are discussed as an example of a unified software environment applicable to a CPU and GPU solution. FPGAs are primarily used for inference, and the xfDNN middleware from Xilinx captures the software features essential for implementing deep learning inference on FPGAs. A long-term vision for application developers is a full and seamless programing environment that works across CPUs, GPUs, and FPGAs. This could initially focus on support for a common language and runtime, such as OpenCL, and later be extended to additional languages. The language support would hide any internal differences in compilers and runtimes between the CPU, GPU, and FPGA implementations. This seamless programming environment will facilitate the full end-to-end optimization of resource allocation.
Improving the connectivity of a pedestrian network through Euclidean and shortest path distances comparison

This paper analyses the structure of a large pedestrian network in Lausanne (Switzerland), namely by comparing Euclidean and shortest path distances. A centrality and a sinuosity indexes are computed to run spatial analysis at various scales. Such a calculation produces different visualisations that can help to analyse and characterize the connectivity of buildings inside a district, but also between districts. The method also suggests that the comparison between Euclidean and shortest path distances can be used to improve any pedestrian network by creating promising shortcuts, or alternatively to detect major network topological errors.
TITLE Improving Conditions for Principal Effectiveness : Policy Implications of Research on Effective

AUTHOR Manasse, A. Lorri TITLE Improving Conditions for Principal Effectiveness: Policy Implications of Research on Effective Principals. INSTITUTION Dingle Associates, Inc., Washington, D.C. SPONS AGENCY National Inst. of Education (ED), Washington, DC. PUB DATE Jun 83 CONTRACT 400-79-0035 NOTE 50p ;; Paper prepared for the National Institute of Education Conference on State and Local Policy Implications of Effective School Research. PUB TYPE Information Analyses (070) -Speeches/Conference Papers (150)
Three-dimensional effect on the effective thermal conductivity of porous media

A three-dimensional mesoscopic method is developed for predicting the effective thermal conductivity of multiphase random porous media. The energy transport equations are solved by a lattice Boltzmann method for multiphase conjugate heat transfer through a porous structure whose morphology is characterized by a random generation-growth algorithm. Our numerical results show that the cell number in the third dimension influences the resulting effective thermal conductivity of three-dimensional porous media. The predicted effective thermal conductivity varies with the cell number in the third dimension following an exponential relationship, and it requires in the examples at least 10 cells along the third dimension before the predictions stabilize. Comparisons with the experimental data show that the effective thermal conductivities measured by the hot-probe and hot-wire techniques agree well with the predicted results by the two-dimensional model, whereas those measured by the transient comparative method agree more with the three-dimensional predictions.
Gate simulation and lower bounds on the simulation time

Unitary operations are the building blocks of quantum programs. Our task is to design efficient or optimal implementations of these unitary operations by employing the intrinsic physical resources of a given $n$-qubit system. The most common versions of this task are known as Hamiltonian simulation and gate simulation, where Hamiltonian simulation can be seen as an infinitesimal version of the general task of gate simulation. We present a Lie-theoretic approach to Hamiltonian simulation and gate simulation. From this, we derive lower bounds on the time complexity in the $n$-qubit case, generalizing known results to both even and odd $n$. To achieve this we develop a generalization of the so-called magic basis for two-qubits. As a corollary, we note a connection to entanglement measures of concurrence-type.
A STATISTICAL COMPARISON OF LOGISTIC REGRESSION AND DIFFERENT BAYES CLASSIFICATION METHODS FOR MACHINE LEARNING

Recent Machine Learning algorithms are widely available for various purposes. But which classifier is suitable for particular data is not yet defined. To consider this into account, well known classifiers Logistics Regression and Bayesian Classifier is taken to validate the work. To validate this, consider some factor such as Asymptotic error (i.e Normally Naive Bayes reaches its asymptotic error very quickly with regards to the number of training samples), how performance takes place when we increase the data set size etc. Here we discuss how various bayes classifiers like Bayes Network, Naive Bayes, Naïve Bayes Multinomial Text, and Naïve Bayes Updateable are working and how they differ with each other based on given data and these results are effectively compared with Logistics Regression. Moreover, proposed work is compared using Naïve Bayes and Logistic Regression by using some standard dataset results as input. Finally it shows how the Bayes classifier methods and Logistic Regression differs each other in terms of performance factor. Keyword: classification, logistic regression, Bayes classifier, projection.
Survey on Spatial Reusability-Aware Routing in Multi-Hop Wireless Networks

: In the issue of routing in multi-hope wireless networks, to accomplish high end-to-end throughput, it is critical to ﬁnd the "best" path from the source hub to the destination hub. A large number of routing protocols have been proposed to ﬁnd the path with minimum total transmission count/time for delivering a single packet, each protocol is based on different techniques in MUP it is used to optimize local spectrum usage via intelligent channel selection in a multihop wireless network. In multirate anypath routing, each hope uses both set of next node and a selected transmission rate for destination. In this a new concept “Spatial Reusability” is introduced in order to improve the end-to-end throughput in multi-hop wireless network.
In vitro Evaluation of Nateglinide-Loaded Microspheres Formulated with Biodegradable Polymers

Purpose: To formulate and evaluate sustained release microspheres of nateglinide (NTG) for enhanced patient compliance. Methods: Nateglinide microspheres were prepared with varying proportions of biodegradable polymers (olibanum gum and guar gum) by calcium chloride/sodium alginate ionic gelation method. The microspheres were characterized by micromeritic analysis, particle size analysis, Fourier transform infrared spectroscopy (FTIR), differential scanning calorimetry (DSC), scanning electron microscopy (SEM) and in vitro drug release studies. Yield and encapsulation efficiency were also evaluated while drug release data were subjected to various kinetic models. Results: Micromeritic analysis showed good flow properties of the microspheres while yield and microsphere size were in the range of 70 to 80 % and 781 to 842 µm, respectively. FTIR and DSC results indicate the absence of drug-polymer interactions while SEM revealed that microspheres were almost spherical shape and porous in nature. Drug release was sustained in simulated intestinal fluid (pH 7.2), extending up to 10 to 12 h with greater release retardation in microspheres containing olibanum gum. The release pattern followed Higuchi kinetics model with non-Fickian diffusion. Conclusion: Suitable microspheres for sustained release of nateglinide can be formulated by ionic gelation method.
Creation and Validation of Chronojump-Boscosystem: A Free Tool to Measure Vertical Jumps Creación y validación de Chronojump-Boscosystem: un instrumento libre para la medición de saltos verticales

Measuring the height of the vertical jump is an indicator of the strength and power of the lower body. The technological tools available to measure the vertical jump are black boxes and are not open to third-party verification or adaptation. We propose the creation of a measurement system called Chronojump-Boscosystem, consisting of open hardware and free software. Methods: A microcontrolle r was created and validated using a square wave generator and an oscilloscope. Two types of contact platforms were developed using different materials. These platforms were validated by the minimum pressure required for activation at different points by a strain gauge, together with the on/off time of our platforms in respect of the Ergojump-Boscosystem platform by a sample of 8 subjects performing submaximal jumps with one foot on each platform. Agile methodologies were used to develop and validate the software. Results: All the tools fall under the free software / open hardware guidelines and are, in that sense, free. The microcontroller margin of error is 0.1%. The validity of the fiberglass platform is 0.95 (ICC). The management software contains nearly 113.000 lines of code and is available in 7 languages.
Impact of Water Management on the Arsenic Content of Rice Grain and Cultivated Soil in an Arsenic Contaminated Area of Bangladesh

A study was conducted in an arsenic (As) contaminated area of Faridpur, Bangladesh with a view to observe the effect of reduced irrigation on the As concentration of rice grain. Rice yield of BRRI dhan28 was found to be slightly higher in alternate wetting and drying (AWD) method than in continuous standing water (CSW) method of irrigation although not significant. The highest grain As conc. (0.65 mg/kg) was observed in the plots irrigated with ground water by CSW method. Significant reduction in grain As conc. was observed in AWD plots irrigated with contaminated ground water. Partial aeration of soil in AWD may have hindered the entrance of water As to rice roots. No significant reduction of soil As conc. was observed due to the application of AWD method. Reduction in grain As in AWD method implies that this technique can be devised as tool for mitigation of As in the As contaminated areas for irrigation of rice. DOI: http://dx.doi. org/10.3329/jesnr.v7i2. 22202 J. Environ. Sci. & Natural Resources, 7(2): 43-46 2014
Long-Term Health Effects of Vietnam War's Herbicide Exposure on the Vietnamese Population

Background: Long-term health effects of exposure to Agent Orange have been a subject of debate and controversy. Most studies on Agent Orange health effects were based on small samples. The objective of this population-based study is to determine whether Agent Orange exposure increases the risks of cancer and hypertension for the Vietnamese population. Methods: This study employs a quasi-experiment research design to estimate the causal long term effect of Agent Orange on incidences of cancer and hypertension for Vietnamese population. Specifically, difference-in-differences regressions are estimated which compute the difference between the Agent Orange-affected cohort versus the unaffected cohort in a treated area (where the Agent Orange was sprayed) and compare that difference with the similar difference computed for the control area (where the Agent Orange was not used). Results: People who were directly exposed to Agent Orange spraying have a higher risk of developing cancer. Agent Orange exposure appears to raise significantly the risk of hypertension for those who lived as well as those who were born during the spraying period. The most harmful effects of Agent Orange occur in areas that received the largest amounts of herbicide spray. Interpretation: The results provide statistical evidence for the harmful effects inflicted by herbicide exposure on the Vietnamese population. Our findings of elevated risk of cancer and hypertension complement the small-sample studies conducted for the Vietnam War veterans and raise warnings for the use of Agent Orange and other herbicides in populated areas.
Transport proofs of weighted Poincaré inequalities for log-concave distributions

We prove, using optimal transport tools, weighted Poincar'e inequalities for log-concave random vectors satisfying some centering conditions. We recover by this way similar results by Klartag and Barthe-Cordero-Erausquin for log-concave random vectors with symmetries. In addition, we prove that the variance conjecture is true for increments of log-concave martingales.
Evaluation of Buccoadhesive Propranolol Hydrochloride Formulations Containing Plantago psyllium Seed Mucilage and Carbopol 934P

Drug delivery via buccal mucosa by means of buccoadhesive formulations offer distinct advantages over peroral administration. Recently, plant gums and exudates have been screened for their use as pharmaceutical adjuvants. The aim of this study is to evaluate matrix tablets containing Plantago psyllium seed mucilage in addition to carbopol as a mucoadhesive agent, and propranolol hydrochloride as a model drug. Mucoadhesive tablets of propranolol were formulated using Plantago psyllium mucilage and Carbopol 934P. The swelling, erosion, mucoadhesion force, in vitro drug release were studied. Interaction between drug and polymers were investigated by DSC thermograms and FT-IR spectra. The bioadhesion strength of formulations containing mucilage and carbopol was more than tablets containing mucilage alone. The results also showed that bioadhesive strength increased with increase in the amount and viscosity of polymers. As the amount of mucilage increased from 6.25% per tablet (F1) to 43.75% (F7) initial release as well as drug release in latter hours was increased in most cases. Combination of Plantago psyllium mucilage and Carbopol 934P modified the release rate and kinetic. The kinetic of drug release has changed by increase in amount of mucilage in these formulations. DSC and FT-IR studies showed no interaction between drug and formulations macromolecules. The use of Plantago psyllium mucilage in addition to carbopol can optimize the drug release in propranolol HCl buccoadhesive tablets.
EdgePlace: Availability‐aware placement for chained mobile edge applications

Mobile edge computing (MEC) literally pushes cloud computing from remote datacenters to the life radius of end users. By leveraging the widely adopted European Telecommunications Standards Institute network function virtualization architecture, MEC provisions elastic and resilient mobile edge applications with proximity. Typical MEC virtualization infrastructure allows a configurable placement policy to deploy mobile edge applications as virtual machines (VMs): affinity can be used to put VMs on the same host for inter‐VM networking performance, whereas anti‐affinity is to separate VMs for high availability. In this paper, we propose a novel model to track the availability and cost impact from placement policy changes of the mobile edge applications. We formulate our model as a stochastic programming problem. To minimize the complexity challenge, we also propose a heuristic algorithm called EdgePlace. With our model, the unit resource cost increases when there are less resources left on a host. Applying affinity would take up more resources of the host but saves network bandwidth cost because of colocation. When enforcing anti‐affinity, experimental results show increases of both availability and interhost network bandwidth cost. For applications with different resource requirements, our model is able to find their sweet points with the consideration of both resource cost and application availability, which is vital in a less robust MEC environment.
Mathematical analysis of continuous time active and adaptive dynamics of artificial neural network in star shape

The present paper gives a detailed mathematical description of continuous time active and adaptive dynamics of an artificial neural network, based on adaptive resonance theory and consisting in solving systems of differential equations. The mathematical description uses the example of a simple star-shaped artificial neural network for two differently parameterized cases of general equations including the evaluation of both learning methods and both their functions.
Evaluation of the overall diagnostic efficacy by means of R.O.C. curve in N-dimensional spaces

The statistical R.O. C. analysis method is commonly used to evaluate the efficacy of a single diagnostic modality. The implementation of new modalities, commonly complementary, makes it necessary to evaluate the contribution obtained by several modalities at the same time. From the statistical point of view, it is necessary to build a R.O. C. curve taking into account the overall diagnostic information content, i.e. a R.O. C. curve in an N-dimensional space. The present work's aim is to set up a procedure that, using a generalized form of the discriminant analysis, can build a R.O. C. curve based on a new virtual mono-dimensional variable whose values from the discriminant function are obtained. The proposed method was tested in several experimental situations, such as a mammary Magnetic Resonance study combined with scinti-mammography and traditional mammography studies. A short description of a computerized procedure, written in Visual Basic™ Pro (v.6.0), which automatically performs the statistical analysis and the R.O. C. curves plot is given as well.