Miracle-dz/UniFAR-FTUs huggingface dataset:
Corticosterone strongly increases the affinity of dorsal raphe 5-HT1A receptors

The effects of corticosterone (10 mg/kg, s.c., 6 h) on dorsal raphe 5-HT1A autoreceptors have been studied in adrenalectomized rats with or without porcine galanin modulation. Adrenalectomy diminishes 5-HT1A autoreceptors affinity. Corticosterone increases 5-HT1A autoreceptor agonist affinity (+90%, p<0.001) in adrenalectomized rats. Galanin (10 nM) increases dorsal raphe 5-HT1A autoreceptor density (+65%, p<0.05) and its Kd value (+248%, p<0.05) only in adrenalectomized rats treated with corticosterone. Dorsal raphe glucocorticoid receptors activation by corticosterone may therefore lead to an increased signalling of 5-HT1A autoreceptors that may become counteracted by galanin receptor activation. Glucocorticoids, by enhancing dorsal raphe 5-HT1A autoreceptor function, may therefore cause reduced 5-HT neuronal activity and thus lead to a depressive state.
Blow-Up of solution for G-L type equation in population problem

In this paper, on foundation of [1–4], to study population problem with extension Ginzbur—Landau type for (1) (3) and more general higher order nonlinear parabolic equation with initial bounded value problem which expresses it in existence, unique for classical solution, and by some method, to study this generalized solution and Blow-up phenomena. We obtain some new results, by means of method in [4] to prove the local degenerative problem with homogeneous Dirichlet's boundary value that on suite condition the solution is symmetry function for radius, then the rate of Blow-Up are same when the solution is Blow-Up in finite time, and consider Blow-Up set.
SMARTCLASSYSURV - a smart camera network for distributed tracking and activity recognition and its application to assisted living

Western societies are aging rapidly. According to [1] the US population over age 85 will triple from 4.5 million in 2003 to 14.2 million by 2040. Automated 24/7 surveillance to ensure safety of the elderly while respecting privacy becomes a major challenge. As a first step, we present a fully distributed system and architecture based on a network of smart cameras to perform geo-referenced tracking and activity recognition. Additionally an intuitive visualization is presented, where all information is integrated in one world model that is available ubiquitously. At a real world installation in an assisted living home, we demonstrate first results regarding falling person detection as one major activity for assisted living systems.
A comparison of collimator geometries for imaging mixed radiation fields with fast liquid organic scintillators

As a result of recent advances in digital pulse-shape discrimination methods it has become possible to image mixed fields (radiation environments compromising both neutrons and gamma rays) relatively quickly with a single, organic liquid ‘fast’ scintillator within a heavy metal collimator. The use of a liquid scintillator has significant benefits over other techniques for imaging radiation environments as the acquired data can be analysed to provide separate information about the gamma and neutron emissions from a source (or sources) in a single scan. The imaging resolution achieved is fundamentally related to the detector efficiency and to the collimator geometry. In this paper the impact of using two different geometries of tungsten collimator are compared experimentally and three different materials considered in the Monte Carlo simulation, in order to determine the optimum set-up for mixed-field imaging. The measurements were performed in the low-scatter facility of the National Physical Laboratory, Teddington.
A Survey on collusion resistant data sharing in cloud environment

Cloud Computing is an emerging technology that uses the internet and remote servers to save information and application. Cloud computing enables customers and organizations to utilize applications without establishment and access their own documents at any computer with internet access. Collusion Resistant Secured the way to deal the fulfillment of an abnormal state of security with complete protection. A large portion of these techniques depend on a presumption that semi-trusted and arrangement is absent. In this paper, we concentrate on the issue of conspiracies, in which a few gatherings may connive and share their record to find the private data of different gatherings. The other related works better than this is more secure. This paper reveals an overview and study of collusion resistance techniques in more secure and efficient way for data sharing in cloud storage.
Development of micro air vehicle using aerial photography for safe rowing and coaching

This study was undertaken to establish basic technologies and knowledge of aerial photography and its application to support safe rowing. For the water sport of rowing, managers and coaches use a motorboat to follow a rowing boat for coaching and safe rowing observation. Utilization of a motorboat gives rise to numerous problems in terms of pulled waves, narrow visual ranges, limited tracking of boats at any one time, fuel consumption, and maintenance costs. Moreover, rowing boats present collision risks to other rowing boats or obstacles floating on water, especially for a cox-less rowing boat because the visual direction for rowers is opposite to the moving direction. The aim of this study is to actualize rowing aerial photography using a Micro Air Vehicle (MAV): a radio-controlled small multi-rotor helicopter that has become popularly used for numerous applications recently. We obtained rowing movies using three-camera compositional patterns with changing altitudes and tilt angles. We examined the benefits of rowing aerial photography compared with movies obtained from a motorboat with consideration of safety improvement.
An Excursion-Theoretic Approach to Regulator's Bank Reorganization Problem

The importance of the global financial system cannot be exaggerated. When a large financial institution becomes problematic and is bailed out, that bank is often claimed as “too big to fail. ” On the other hand, to prevent bank’s failure, regulatory authorities adopt the Prompt Corrective Action (PCA) against a bank that violates certain criteria, often measured by its leverage ratio. In this article, we provide a framework where one can analyze the cost and effect of PCAs. We model a large bank that has deteriorating assets and regulatory actions attempting to prevent the bank’s failure. The model uses the excursion theory of Levy processes and finds an optimal leverage ratio that triggers a PCA. A nice feature includes that it incorporates the fact that social cost associated with PCAs are greatly affected by the size of banks subject to PCAs. In other words, one can see the cost of rescuing a bank that is too big to fail.
A Case Study on Independent Vector Analysis for Convolutive Mixed Audio Signal

Convolutive mixtures of signals are common in acoustic environment and are difficult to separate. Independent vector analysis (IVA) presents a uniform probabilistic framework to separate convolutive mixtures of acoustic signals using , which is based on the frequency components originating from the same source and is capable of preventing permutation disorder. Independent vector analysis (IVA), an extension of Independent component analysis (ICA) from univariate components to multivariate components, that provides an efficient framework for avoiding the permutation problem and scaling in blind source separation (BSS). IVA utilizes both the statistical independence among multivariate signals and the statistical inner dependency of each multivariate signal. This project is made to overcome the problems such as Scaling and Permutation Ambiguity.
Has the burden of depression been overestimated?

OBJECTIVE To investigate whether high estimates of the burden of depression could be attributed to an overestimation of disability weights (reflecting more severe disability). METHODS We derived disability weights that were tailored to prevalence data. Empirical disability data from a Dutch community survey was used to describe three classes of severity of depression and their proportional prevalence. We obtained valuations from experts for each class and calculated the overall disability weight for depression. FINDINGS Expert valuations were similar to those of previous studies. The overall disability weight for depression was similar to other studies except the 1994 Dutch Burden of Disease Calculation, which it exceeded by 73%. The lower Dutch 1994 disability weight resulted from an overestimation of the proportion of mild cases of depression by experts (60% versus 27% observed in the empirical data used in the present study). CONCLUSION This study found no indication that disability associated with depression was overestimated. The Dutch example showed the importance of tailoring disability weights to epidemiological data on prevalence.
A low-latency control plane for dense cellular networks

In order to keep up with the increasing demands for capacity, cellular networks are becoming increasingly dense and heterogeneous. Dense deployments are expected to provide a linear capacity scaling with the number of small cells deployed due to spatial reuse gains. However in practice network capacity is severely limited in dense networks due to interference. The primary reason is that the current LTE control plane deployment model has very high latency and is unable to cope with the demand of implementing interference management techniques that require coordination on a millisecond timeframe. This paper presents SwiftC, a novel low-latency control plane design for LTE networks. SwiftC's novel contribution is a design for efficiently sending and receiving control plane messages over the LTE spectrum itself, thus creating a direct and low-latency coordination signaling link between small cells and the macrocell. SwiftC builds on recent work in full duplex radios and shows via prototype implementations that a low latency control plane can be built over the existing LTE network without wasting licensed spectrum. We also show the benefits of SwiftC in implementing complex interference management techniques, and show that with SwiftC small cell deployments can achieve almost a linear capacity scaling with every small cell deployed.
Polynomial functions as a representation of melodic phrase contour

The present paper explores a novel way of characterising the contour of melodic phrases. Melodic contour is represented by a curve that can be derived from fitting a polynomial equation to the pitch values given the note onsets. To represent contour numerically, we consider the coefficients of the polynomial equation as well as the time limits of the melodic phrase. After a brief review of different theoretical, didactic, analytic, and computational approaches to melodic contour, a detailed step-by-step description is provided of how polynomials can be fitted to melodic phrases. In two application examples, it is demonstrated how polynomial contour can be used as a basis for the computational processing of melodic information. The first application estimates the frequency of occurrence or prevalence of a phrase contour: a probabilistic model is constructed based on a large sample of phrases from popular melodies using a standard density estimation procedure to obtain an indicator of contour occurrence frequency. The second application is a similarity measure that exploits polynomial curves graphically and is based on Tversky’s (1977) ratio model of similarity. Further applications of the approach as well as quantitative tests of the existing ones are discussed as options for future work.
Combination of Relative Neighborhood Graph and Forbidden Set in the Design of Distributed Broadcast Algorithms for Wireless Ad Hoc Networks

A wireless ad hoc network typically comprises of nodes with energy supplied by batteries. Hence, energy conservation is crucial to extending the lifetimes of individual nodes and the network as a whole. In topology control type of broadcast algorithms, the distance between neighbors is used to adjust the transmission power to reduce energy consumption. One such example is based on relative neighborhood graph (RNG). In RNG each node maintains a list of relative neighbors and the information is employed to construct a broadcast path. In this paper, distributed broadcast algorithms are proposed that incorporate the notion of forbidden set in RNG to improve the performance. The key idea of forbidden set is to prohibit nodes with low remaining battery capacity from serving as rebroadcast nodes. Via this selection criterion, we can avoid the disruption of the broadcast path due to energy depletion at nodes with low energy capacity, thereby achieving the goal of elongating the lifetime of the broadcast path. Further power saving can be achieved by getting rid of redundant rebroadcasts. The procedure is described with illustrations. In particular, the removal of such redundancy is dependent on the source node. Simulation results confirm the improvement furnished by the proposed algorithms.
A Note on the Relationship Between Pricing and Capacity Decisions in Make-to-Stock Systems

We address the simultaneous determination of pricing and capacity investment strategies in a multi-period setting under demand uncertainty. In our model a monopolistic firm makes three decisions: capacity investment (or disinvestment), production (inventory), and price, all of which can be specified dynamically as a function of the state of the system. We analyze the optimal joint strategy and investigate the relationship between the main strategic decision variables: price and capacity. We consider models that allow for either bi-directional price changes or models with markdowns only, and in the latter case we prove that capacity and price are strategic substitutes. Short Title: Relationship between pricing and capacity decisions
Least-squares interband denoising of color and multispectral images

This paper exploits the interband correlations of color and multispectral images for wavelet-based denoising. For this, a multispectral extension of the linear minimum mean squared error estimation (LMMSE) is constructed to estimate the signal from the observed wavelet coefficients. The calculation involves the signal autocovariance matrices, which are estimated globally or locally far centered square windows using maximum likelihood and MAP. The method is demonstrated to outperform single-hand denoising on color and 7-band Landsat multispectral images.
Effects of semidiurnal tidal circulation on the distribution of holo- and meroplankton in a subtropical estuary

We examined how tidal changes and which physical factors affected holo- and meroplankton assemblages in a subtropical estuary in Taiwan in February 1999. A factor analysis showed that during tidal flooding, the water mass properties changed from low salinity (5–16) and high particulate organic carbon (POC, 2.6–4.5 mg L−1) content to increasing salinity and high total suspended matter content (29.0–104.5 mg L−1). With a receding tide, the water became more saline again, and its velocity increased (from non-detectable to 0.67 m s−1). One-way ANOVA showed that the distributions of four dominant taxa were affected by the ebb tide and exhibited two distinct groups. The first group consisted of non-motile invertebrate eggs and weakly swimming polychaete sabellid embryos and larvae (at densities of 1.25–1.40 ind. L−1), while the second consisted of better-swimming copepods and polychaete spionid larvae (at densities of 0.70–1.65 ind. L−1). A canonical correlation analysis demonstrated that the former group occurred at sites with greater freshwater input, higher POC content and greater depth, whereas the latter group was significantly associated with sites subject to seawater and faster flows. We propose that a two-layered circulation process and tidally induced oscillations in water movements might account for the distributional differences between these two groups.
Mobile Liquid 2 D Scatter Space ( ML 2 DSS ) A

This (video-) paper describes a user interface concept, which facilitates browsing of comparably large amounts of information on small screens. The viewing concept is based on a visually optimized star field display ([1] Ahlberg & Shneiderman 1994) and is introducing new concepts like liquid browsing (an expansion lens with pressure controlled magnetic force simulation), selection based filtering and representation manipulation, multimotion behavior tagging, (interaction-) transparent spaces and continuous state animation. All this creates a very versatile information space with a liquid-like look and feel, which can be used in a very intuitive way, providing all the advantages of a mature interactive scatter plot and can easily be scaled to different screen sizes without any adjustment efforts. This paper focuses on visual design and interaction details and emphasizes the importance of the visual interactive quality for mobile information visualization.
Comparison of Carboplatin and Doxorubicin‐Based Chemotherapy Protocols in 470 Dogs after Amputation for Treatment of Appendicular Osteosarcoma

Background Many chemotherapy protocols have been reported for treatment of canine appendicular osteosarcoma (OSA), but outcome comparisons in a single population are lacking. Objective To evaluate the effects of protocol and dose intensity (DI) on treatment outcomes for carboplatin and doxorubicin‐based chemotherapy protocols. Animals Four hundred and seventy dogs with appendicular OSA. Methods A retrospective cohort study was performed comprising consecutive dogs treated (1997–2012) with amputation followed by 1 of 5 chemotherapy protocols: carboplatin 300 mg/m2 IV q21d for 4 or 6 cycles (CARBO6), doxorubicin 30 mg/m2 IV q14d or q21d for 5 cycles, and alternating carboplatin 300 mg/m2 IV and doxorubicin 30 mg/m2 IV q21d for 3 cycles. Adverse events (AE) and DI were evaluated. Kaplan–Meier survival curves and Cox proportional hazards regression were used to compare disease‐free interval (DFI) and survival time (ST) among protocols. Results The overall median DFI and ST were 291 days and 284 days, respectively. A lower proportion of dogs prescribed CARBO6 experienced AEs compared to other protocols (48.4% versus 60.8–75.8%; P = .001). DI was not associated with development of metastases or death. After adjustment for baseline characteristics and prognostic factors, none of the protocols provided a significant reduction in risk of development of metastases or death. Conclusions and Clinical Importance Although choice of protocol did not result in significant differences in DFI or ST, the CARBO6 protocol resulted in a lower proportion of dogs experiencing AEs, which could be advantageous in maintaining high quality of life during treatment. DI was not a prognostic indicator in this study.
AdaMS: Adaptive MLC/SLC phase-change memory design for file storage

Phase-change memory (PCM) is an emerging memory technology that has made rapid progress in the recent years, and surpasses other technologies such as FeRAM and MRAM in terms of scalability. Recently, the feasibility of multi-level cell (MLC) for PCM, which enables a cell to store more than one bit of digital data, has also been shown. This new property makes PCM more competitive and considered as the successor of the NAND flash technology, which also has the MLC capability but does not have an easy scaling path to reach higher densities. However, the MLC capability of PCM comes with the penalty of longer programming time and shortened cell lifetime compared to its single-level cell (SLC) mode. Therefore, it suggests an adaptive MLC/SLC reconfigurable PCM design that can exploit the fast SLC access speed and the large MLC capacity with the awareness of workload characteristics and lifetime requirements. In this work, a circuit-level adaptive MLC/SLC PCM array is designed at first, the management policy of MLC/SLC mode is proposed, and finally the performance and lifetime of a novel PCM-based SSD with run-time MLC/SLC reconfiguration ability is evaluated1.
Motor imagery EEG Recognition based on Biomimetic Pattern Recognition

This paper improves Biomimetic Pattern Recognition based on Hyper Sausage Neuron and applies it in the study of Motor Imagery EEG recognition. The paper uses the datasets from previous Brain-Computer Interface Competitions to test the accuracy and efficiency of the results, and compares them with those of SVM and BP. The results show that: with sufficient training set, the performance of Biomimetic Pattern Recognition is close to those of SVM and BP; but when the size of training set is small, SVM and BP's classification performance degrades obviously, while Biomimetic Pattern Recognition demonstrates clear advantages.
Strober: Fast and Accurate Sample-Based Energy Simulation for Arbitrary RTL

This paper presents a sample-based energy simulation methodology that enables fast and accurate estimations of performance and average power for arbitrary RTL designs. Our approach uses an FPGA to simultaneously simulate the performance of an RTL design and to collect samples containing exact RTL state snapshots. Each snapshot is then replayed in gate-level simulation, resulting in a workload-specific average power estimate with confidence intervals. For arbitrary RTL and workloads, our methodology guarantees a minimum of four-orders-of-magnitude speedup over commercial CAD gate-level simulation tools and gives average energy estimates guaranteed to be within 5% of the true average energy with 99% confidence. We believe our open-source sample-based energy simulation tool Strober can not only rapidly provide ground truth for more abstract power models, but can enable productive design-space exploration early in the RTL design process.
Functional multivesicular bodies are required for autophagic clearance of protein aggregates associated with neurodegenerative disease

The endosomal sorting complexes required for transport (ESCRTs) are required to sort integral membrane proteins into intralumenal vesicles of the multivesicular body (MVB). Mutations in the ESCRT-III subunit CHMP2B were recently associated with frontotemporal dementia and amyotrophic lateral sclerosis (ALS), neurodegenerative diseases characterized by abnormal ubiquitin-positive protein deposits in affected neurons. We show here that autophagic degradation is inhibited in cells depleted of ESCRT subunits and in cells expressing CHMP2B mutants, leading to accumulation of protein aggregates containing ubiquitinated proteins, p62 and Alfy. Moreover, we find that functional MVBs are required for clearance of TDP-43 (identified as the major ubiquitinated protein in ALS and frontotemporal lobar degeneration with ubiquitin deposits), and of expanded polyglutamine aggregates associated with Huntington's disease. Together, our data indicate that efficient autophagic degradation requires functional MVBs and provide a possible explanation to the observed neurodegenerative phenotype seen in patients with CHMP2B mutations.
Early In-hospital Management of Acute Ischemic Stroke

Acute ischemic stroke is one of leading causes of disability worldwide. Current therapeutic modalities have very narrow time window, therefore adequate diagnosis and therapeutic modality choice is very important. This article highlights the issues regarding current recommendation of early in-hospital management of acute ischemic stroke. By understanding current recommendation of treatment, we can better access and treat patients with acute ischemic stroke.