Miracle-dz/UniFAR-FTUs huggingface dataset:
Toward a spiking model of the Hippocampus and Entorhinal Cortex

A framework for a spiking model of Entorhinal Cortex, and the Dentate Gyrus and CA3 subfields of the hippocampus is developed. Taking the input to the Entorhinal Cortex as determined by influences outside the model, I define grid cells, head direction cells, and border cells in a simulated experiment in which a rat performs random foraging in a box. Cells are modeled with Izhikevich-style neurons and synapses are modified by spike-timing dependent plasticity. Resulting firing patterns in the dentate gyrus and CA3 are considered, and several questions are raised that this model – when realized fully – may be able to help answer.
Dinámica de participación en el mercado y el debate de la "Persistencia de liderazgo"

Este trabajo analiza la duracion del liderazgo en la industria tomando como base las cuotas de mercado de las empresas lideres en 45 industrias japonesas a lo largo de 23 anos. Para ello, se propone una nueva relacion escalar entre la cuota de mercado de una empresa y la desviacion estandar de los cambios en dicha cuota de mercado. Esta relacion discrimina de forma poderosas entre los modelos teoricos candidatos de la dinamica de participacion en el mercado. Tambien hace posible una simplificacion util a la hora de contrastar un modelo de tipo markoviano. En relacion a este modelo se halla que al menos algunas industrias muestran un sesgo "chandleriano" hacia duraciones mas largas del liderazgo que la representada en el modelo de referencia.
Adenosine, methacholine, and exercise challenges in children with asthma or paediatric chronic obstructive pulmonary disease.

BACKGROUND--Bronchial hyperreactivity to methacholine is present in children with asthma and other types of paediatric chronic obstructive pulmonary disease (COPD), while hyperreactivity to exercise is more specific for asthma. Adenosine 5'-monophosphate (AMP) is a potent bronchoconstrictor and, like exercise, may provoke asthma by activating mast cells. This study investigated the suitability of AMP as a specific challenge for asthma in children. METHODS--Bronchial provocation challenges with methacholine and AMP were performed in a double blind fashion using tidal breathing in 51 children with asthma, 21 with paediatric COPD of various types, and in 19 control children. Each subject also underwent a standardised exercise challenge after inhalation challenges were completed. Sensitivity and specificity curves were constructed and the intersection point of sensitivity and specificity for each type of challenge was determined. RESULTS--When the asthmatic patients were compared with the children with COPD, the intersection points for AMP, exercise and methacholine were 90%, 85%, and 50%, respectively. When compared with the controls the same intersection points were 98%, 84%, and 92%, and when children with paediatric COPD were compared with controls they were 55%, 50%, and 82%. CONCLUSIONS--Methacholine distinguishes both asthma and paediatric COPD from controls with a sensitivity of 82-92%, but does not distinguish between asthma and paediatric COPD; exercise and AMP distinguish asthma from controls with a sensitivity and specificity of 84-98% but they also distinguish asthma from paediatric COPD with a sensitivity and specificity of 85-90%. AMP inhalation is a practical aid for diagnosing asthma and distinguishing it from COPD in children of all ages.
Matrix Concentration for Expander Walks

We prove a Chernoff-type bound for sums of matrix-valued random variables sampled via a random walk on an expander, confirming a conjecture of Wigderson and Xiao up to logarithmic factors in the deviation parameter. Our proof is based on a recent multi-matrix extension of the Golden-Thompson inequality due to Sutter et al. \cite{Sutter2017}, as well as an adaptation of an argument for the scalar case due to Healy \cite{healy08}. Secondarily, we also provide a generic reduction showing that any concentration inequality for vector-valued martingales implies a concentration inequality for the corresponding expander walk, with a weakening of parameters roughly proportional to the squared mixing time.
New features of the Blocks Database servers

Blocks are ungapped multiple sequence alignments representing conserved protein regions, and the Blocks Database consists of blocks from documented protein families. World Wide Web (http://www. blocks.fhcrc.org) and Email (blocks@blocks.fhcrc.org) servers provide tools for homology searching and for analyzing protein family relationships. New enhancements include a multiple alignment processor that extends the use of these tools to imported multiple alignments of families not present in the database and a PCR primer designer that implements a new strategy for gene isolation.
Targeting BCL2-Proteins for the Treatment of Solid Tumours

Due to their central role in the regulation of apoptosis, the antiapoptotic BCL2-proteins are highly promising targets for the development of novel anticancer treatments. To this end, several strategies have been developed to inhibit BCL2, BCL-XL, BCL-w, and MCL1. While early clinical trials in haematological malignancies demonstrated exciting single-agent activity of BCL2-inhibitors, the response in solid tumours was limited, indicating that, in solid tumours, different strategies have to be developed in order to successfully treat patients with BCL2-inhibitors. In this review, the function of the different antiapoptotic BCL2-proteins and their role in solid tumours will be discussed. In addition, a comprehensive analysis of current small molecules targeting these antiapoptotic BCL2-proteins (e.g., ABT-737, ABT-263, ABT-199, TW-37, sabutoclax, obatoclax, and MIM1) will be provided including a discussion of the results of any clinical trials. This analysis will summarise the potential of BCL2-inhibitors for the treatment of solid tumours and will unravel novel approaches to utilise these inhibitors in clinical applications.
The effect of pH, dissolved humic substances and ionic composition on the transfer of iron and phosphate to particulate size fractions in epilimnetic lake water

Transformations of dissolved iron and phosphate to particulate material (>0.2 \mu m) were investigated by adding ^55 FeCl_3, and ^32 PO_4^3- to pH adjusted epilimnetic lake water samples of contrasting ionic strengths and dissolved humic substances (DHS) concentrations. The distributions of these tracers between particulate size fractions in samples without appreciable DHS after 24 h of dark incubation varied markedly over the pH range 4-8. The effect of pH on the movement of ^55 Fe and ^32 P to particulate size fractions in clear-water samples depended on the ionic strength. Over the same pH range, the presence of DHS suppressed the movement of ^55 Fe and ^32 P to particulate size fractions. There was little difference between low and high ionic strength DHS-rich samples. The capability of DHS to maintain added ^55 Fe and ^32 P in solution (
A CMOS 25.3 ppm°/C bandgap voltage reference using self-cascode composite transistor

Voltage reference circuits, presented in battery-operated portable equipments, should be able to be designed using standard digital CMOS process and present low-power operation. This work presents a low-power CMOS Bandgap voltage reference that uses self-cascode composite transistors, only one resistor and none of the BJT's from the device library. The output voltage is nearly the silicon bandgap voltage and its temperature coefficient is typically 25.3 ppm/°C in the temperature range of -40 to 85°C, while consuming a supply current of 25 μA. The circuit was designed using thick oxide transistors from a 130 nm CMOS process technology and the layout area is 100 μm × 100 μm.
Autobiographical Remembering as Cultural Practice: Understanding the Interplay between Memory, Self and Culture

Autobiographical remembering is examined as a cultural practice unfolding in the developmental dynamics of the interplay between memory, self and culture. In discussing the results of recent comparative studies in the United States and East Asia, we argue that autobiographical memory and self are interconnected meaning systems constructed in macro- and micro-cultural contexts—contexts of collectively performed and shared symbols, tools and artifacts. This process involves manylayered interactions between an individual and the belief structures of the society; it also involves various forms of active negotiation among the agents of socialization. As a result, a culture’s genres of autobiographical remembering and its prevailing conceptions of selfhood have a decisive impact on the very nature of mnemonic transmission from one generation to the next. Against this backdrop, autobiographical remembering is described as an important dimension of cultural memory.
Driver assistance system for lane detection and vehicle recognition with night vision

The objective of this research is to develop a vision-based driver assistance system to enhance the driver's safety in the nighttime. The proposed system performs both lane detection and vehicle recognition. In lane detection, three features including lane markers, brightness, slenderness and proximity are applied to detect the positions of lane markers in the image. On the other hand, vehicle recognition is achieved by using an evident feature which is extracted through three four steps: taillight standing-out process, adaptive thresholding, centroid detection, and taillight pairing algorithm. Besides, an automatic method is also provided to calculate the tilt and the pan of the camera by using the position of vanishing point which is detected in the image by applying Canny edge detection, Hough transform, major straight line extraction and vanishing point estimation. Experimental results for thousands of images are provided to demonstrate the effectiveness of the proposed approach in the nighttime. The lane detection rate is nearly 99%, and the vehicle recognition rate is about 91%. Furthermore, our system can process the image in almost real time.
On Comparison of the Estimators of the Hurst Index of the Solutions of Stochastic Differential Equations Driven by the Fractional Brownian Motion

This paper presents a study of the Hurst index estimation in the case of fractional Ornstein-Uhlenbeck and geometric Brownian motion models. The performance of the estimators is studied both with respect to the value of the Hurst index and the length of sample paths. Supported by the Research Council of Lithuaniam contract No. MIP-66/2010.
A Game Theoretic Approach to Peer-to-Peer Incentives

In this survey paper, we consider the problem of free-riding in peer-to-peer systems. We provide a detailed analysis of game theoretic approaches for incentive s to motivate users contribute their resources. This analysi is based on the comparison of several methods offered by recent publications including pricing scheme, request denials and service differentiation. Moreover, we present the game models used to represent the system from Generalized Prisoner’s Dilemma (GPD), Multi-Person Prisoner’s Dilemma (MPD) and Cournot Oligopoly game. We further consider the challenges posed by untrusted users and whitewashers. Through comparison, we point out where these researches failed to emphasize major problems, such as scalability, adaptation to system dynamics and incentives communication overhead. Finally, we provide some unresolved issues for future work.
Contact-Less Thin Substrate Transport Using Viscous Traction

A new contact-less transport system for thin and fragile products like silicon wafers is introduced. The product is carried on a thin film of air separating the product from the system, and is transported using the relative velocity of the pressurized and moving air film parallel and adjacent to the system surface. This innovative concept can produce both the high stiffness and acceleration required for high precision positioning and efficient product transport. In this paper the basic design principles of this system are presented. Experimental verification is demonstrated on a 6-dof planar air actuated high precision positioning stage.
Power-Efficient Multi-Quality Multicast Beamforming based on Scalable Video Coding and Superposition Coding

In this paper, we consider multi-quality multicast of a video stream from a multi-antenna base station (BS) to multiple groups of single-antenna users requiring different qualities of the video stream, using scalable video coding (SVC). Leveraging the layered structure of SVC and exploiting superposition coding (SC) as well as successive interference cancelation (SIC), we propose a power-efficient layer-based multi-quality multicast beamforming scheme and a power-efficient quality-based multiquality multicast beamforming scheme. For each scheme, we formulate the corresponding optimal beamforming design as a non-convex power minimization problem, and obtain a globally optimal solution in a special case as well as a locally optimal solution in the general case. Then, we show that the minimum total transmission power of the quality-based optimization problem is the same as that of the layer-based optimization problem, but the computational complexity for solving the quality-based optimization problem is lower than that for solving the layerbased optimization problem. Finally, numerical results show that the proposed solutions achieve better performance than existing solutions.
Research on the nonlinear dynamical behavior of double pendulum

The paper studied nonlinear dynamical behavior in a double pendulum system by Lagrange's method and numerical computations. First, it introduced the physical system, and then derived the Lagrange and the Hamiltonian equations of motions. Finally it analyzed Poincaré sections, the largest Lyapunov exponent, progression of trajectories, and change of angular velocities with time for certain system parameters at varying initial conditions. The results of numerical simulation show that the system will have the possibility of chaos when the initial condition is changed. The results provide references for detailed research on dynamic characteristics and optimal design of the double pendulum model.
LMS-based adaptive temperature prediction scheme for proactive thermal-aware three-dimensional Network-on-Chip systems

The three-dimensional Network-on-Chip (3D NoC) has been proposed to solve the complex on-chip communication issues. Because of the die-stacking architecture, the thermal problem becomes more severe than in 2D NoC. To simultaneously consider the thermal safety and system performance, proactive thermal management (PDTM) has been proved as an efficient way to control the system temperature against overheat. Based on the information of predictive temperature, the PDTM can early control the system temperature. To predict the future temperature, adopting the Thermal Resistance and Capacitance (Thermal RC) model is a popular way to derive the thermal prediction scheme. However, the Thermal RC value is sensitive to temperature changes, which affect the accuracy of the future temperature estimation. Therefore, the current proactive thermal-aware NoC system still suffers from large performance impact because of imprecise future temperature estimation. In this paper, we propose an LMS-based adaptive thermal prediction (LMS-ATP) model, which can adaptively adjust the involved Thermal RC values for future temperature estimation. The experimental results show that the proposed LMS-ATP model can improve the precision of future temperature estimation by 72.96%. In addition, the system throughput can be enhanced by around 0.77% to 47.96%.
A Compression Model for DNA Multiple Sequence Alignment Blocks

A particularly voluminous dataset in molecular genomics, known as whole genome alignments, has gained considerable importance over the last years. In this paper, we propose a compression modeling approach for the multiple sequence alignment (MSA) blocks, which make up most of these datasets. Our method is based on a mixture of finite-context models. Contrarily to other recent approaches, it addresses both the DNA bases and gap symbols at once, better exploring the existing correlations. For comparison with previous methods, our algorithm was tested in the multiz28way dataset. On average, it attained 0.94 bits per symbol, approximately 7% better than the previous best, for a similar computational complexity. We also tested the model in the most recent dataset, multiz46way. In this dataset, that contains alignments of 46 different species, our compression model achieved an average of 0.72 bits per MSA block symbol.
A Method for Component-Based Software and System Development

We propose a method for component-based software and system development, where the interoperability between the different components is given special consideration. The method uses existing notations and languages with their associated tools: context diagrams for analyzing and structuring the problem, composite structure diagrams for describing the overall system in terms of components and interfaces, sequence diagrams to describe the behavior of each component, and the formal method B for specifying the interfaces of the different components and for proving their interoperability. Interoperability is proven using the B method with its underlying concept of refinement, and its powerful tool support, the B prover
Capacity of cellular networks deployed in TV White Space

This paper investigates how suitable TV White Space (TVWS) is for use by cellular networks. Unlike in licensed bands, transmit power in TVWS is limited and considerable interference from TV towers exists. This suggests that evaluating TVWS only in terms of available bandwidth can be misleading, since performance of wireless networks in TVWS is likely lower than in the same amount of dedicated spectrum. We quantify TVWS at the example of Germany, using the European methodology developed in CEPT ECC SE 43. In the second step, we determine the performance of a cellular network operating in TVWS using a calibrated multi-cell and multi-user system level simulation tool. This way we also consider interference between TVWS users, which in previous TVWS studies has not been investigated in detail. Not all locally available TV channels are equally useful. We thus compare different channel selection algorithms a TVWS operator could apply to select from the set of available TVWS channels. We found that while the available spectrum for TVWS usage is in theory quite high, its actual utility strongly depends on the channel selection method and the requirements it is based on. Due to the high interference from TV towers, cellular networks based on frequency re-use one (like LTE) have difficulties finding channels that allow good performance at the cell edge. The inner part of a cell can however considerably benefit from TVWS. This indicates that for cellular networks TVWS is primarily suitable for traffic offloading and spotty coverage rather than for building large contiguous coverage networks.
Molecular docking studies shows tivozanib and lapatinib as potential inhibitors of EML4-ALK translocation mediated fusion protein in non small cell lung cancer

Identification of activating mutations in non-small cell lung cancers (NSCLC) has been a focus in recent years. This led to successful evidence of using tyrosine kinase inhibitors (TKIs) over the standard platinum doublet based chemotherapy as the first line treatment in the metastatic setting.The rearrangements of fusion protein EML4-ALK in NSCLC lead to the use of crizotinib for this class of tumors. Preclinical and Phase 1 clinical studies show that ceritinib is more effective against both crizotinib sensitive and resistant tumors. Although robust responses to crizotinib are observed in NSCLC harboring ALK mutations, majority of tumors eventually become resistant, posing a major challenge in treatment course. Thus, there is a need for the identification and development of second-generation of ALK inhibitors. Computer aided molecular docking data show Tivozanib and Lapatinib bind EML4-ALK with high score. Tivozanib is in clinical trials for renal cell cancer and Lapatinib is a known dual tyrosine kinase inhibitor effective in breast cancer patients with HER2 over-expression. Additional data on these compounds for use in EML4-ALK positive NSCLC will provide evidence for use in patients treated with crizotinib. Data shows the importance of computer aided molecular docking in developing candidates with improved activity for further consideration in vitro and in vivo validation.
Economic Assessment for Optimum Wind Farm Investment Connected to a Distribution System

Decarbonization of electricity industry for the goal of sustainability success has resulted in large investment in alternative energy sources such as wind, solar, biomass. Although these energy resources are sustainable and have the potential of reducing the world carbon foot print, there are costs associated with its utilization. In recent time, electricity from alternative energy sources like wind and solar are not cost competitive with electricity from the conventional power plant. This paper is aimed at investigating the optimum investment in a typical wind farm project using a TSA (time series analysis) alongside simple economic tool, AAP (annual annuity payment) model. This study involves a year round analysis of (8,760h) at different wind farm capacity connected to a 132/33kV DS (distribution system). It also focused on digressing from the technical and environmental benefits to financial assessment of increasing wind generation capacity in the DS. Indeed, this development presents a risk of investment to the stakeholders which necessitates proper scrutiny and to ensure profitability of the venture. The level of capital cost along with operation and maintenance (OM) costs are either financed by private or public sectors on wind farm with the sole aim of achieving the ROI (return-on-investment). The results obtained from this study shows the possible ROI is not proportional to the wind capacity invested. Also, a sensitivity analysis conducted revealed the profit derived from wind farm is more responsive to the investment/capital cost and the price at which the electricity is being sold.
Cloning of the Murine Thymic Stromal Lymphopoietin (Tslp) Receptor

The cellular receptor for murine thymic stromal lymphopoietin (TSLP) was detected in a variety of murine, but not human myelomonocytic cell lines by radioligand binding. cDNA clones encoding the receptor were isolated from a murine T helper cell cDNA library. TSLP receptor (TSLPR) is a member of the hematopoietin receptor family. Transfection of TSLPR cDNA resulted in only low affinity binding. Cotransfection of the interleukin 7 (IL-7)Rα chain cDNA resulted in conversion to high affinity binding. TSLP did not activate cells from IL-7Rα−/− mice, but did activate cells from γc−/− mice. Thus, the functional TSLPR requires the IL-7Rα chain, but not the γc chain for signaling.
INTRUSION DETECTION USING A HYBRID SUPPORT VECTOR MACHINE BASED ON ENTROPY AND TF-IDF

The main functions of an Intrusion Detection System (IDS) are to protect computer networks by analyzing and predicting the actions of processes. Though IDS has been developed for many years, the large number of alerts makes the system ine ﬃ cient. In this paper, we proposed a classi ﬁ cation method based on Support Vector Machines (SVM) with a weighted voting schema to detect intrusions. First, the entropy and TF-IDF (term frequency and inverse documents frequency) features are extracted from processes. Next, entropy and TF-IDF features are sent to the SVM model for learning and testing. Finally, we use a voting schema named Weighted Voting SVM (WV-SVM) to determine whether a process is an intrusion. Our experiments demonstrate improved e ﬃ ciency.