Miracle-dz/UniFAR-FTUs huggingface dataset:
Emergence of power law behavior in threshold based neuron model with stochastic membrane decay constant

— A new phenomenon to obtain the power-law behavior in neuronal properties for a threshold based neuron model is proposed. Membrane decay constant in leaky integrate-and-fire neuron model is considered to be a stochastic process which results a new model, the LIFSD neuron model (leaky integrate-and-fire neuron model with stochastic membrane decay constant). Two neuronal activities, namely, stationary state membrane potential and ISI (inter-spike-interval) distribution for the LIFSD model is investigated. In order to obtain the stationary state membrane potential, Fokker-Planck equation (FPE) with reflecting boundary condition, associated with LIFSD neuron model is solved which results the power-law behavior. ISI distribution depicts the power-law behavior during Monte Carlo simulation based study of proposed model. To mathematically complete LIFSD model, explicit expressions for membrane potential and its first two moments; mean and variance for membrane potential are also calculated. The LIFSD neuron model is found capable to generate the power law behavior for stationary state membrane potential distribution and ISI distribution. However a number of other neuronal activities are still left to investigate in context of the power law behavior. These findings suggest the robustness of proposed model for input-output relationship prediction and also prove that the development of the net membrane potential and the spiking activity in the single neuron are due to the aggregate effort of group of ions and molecules.
White matter integrity as a predictor of response to treatment in ﬁrst episode psychosis

The integrity of brain white matter connections is central to a patient’s ability to respond to pharmacological interventions. This study tested this hypothesis using a speciﬁc measure of white matter integrity, and examining its relationship to treatment response using a prospective design in patients within their ﬁrst episode of psychosis. Diffusion tensor imaging data were acquired in 63 patients with ﬁrst episode psychosis and 52 healthy control subjects (baseline). Response was assessed after 12 weeks and patients were classiﬁed as responders or non-responders according to treatment outcome. At this second time-point, they also underwent a second diffusion tensor imaging scan. Tract-based spatial statistics were used to assess fractional anisotropy as a marker of white matter integrity. At baseline, non-responders showed lower fractional anisotropy than both responders and healthy control subjects (P 5 0.05; family-wise error-corrected), mainly in the uncinate, cingulum and corpus callosum, whereas responders were indistinguishable from healthy control subjects. After 12 weeks, there was an increase in fractional anisotropy in both responders and non-responders, positively correlated with antipsychotic exposure. This represents one of the largest, controlled investigations of white matter integrity and response to antipsychotic treatment early in psychosis. These data, together with earlier ﬁndings on cortical grey matter, suggest that grey and white matter integrity at the start of treatment is an important moderator of response to antipsychotics. These ﬁndings can inform patient stratiﬁcation to anticipate care needs, and raise the possibility that antipsychotics may restore white matter integrity as part of the therapeutic response. neuroimaging analysis. To rule out potential systematic biases, we compared clinical and socio-demographic characteristics of patients who did and did not complete the second MRI, and found no signiﬁcant differences. There were no differences between groups in the proportion of antipsychotic-naive subjects at baseline, nor in exposure to mood stabilizers, antidepressants or benzodiazepines (data not shown). P = 0.549; left uncinate, F (1,41) = 0.681, P = 0.415; or fornix, F (1,41) = 0.808, P = 0.374]. There was also no Group (cid:3) Time interaction for white matter tracts volume ( P = 0.44 to P = 0.78) and no signiﬁcant correlations were observed between longitudinal changes in volumes and longitudinal changes in fractional anisotropy or exposure to antipsychotics.
Cross-Layer Design for Caching Scheme by using Successive Interference Cancellation in Information-Centric Network-based Wireless Sensor Network

— Advanced wireless sensor network technologies, such as the Internet of Things and Machine to Machine, have recently been widely applied to various fields. The network protocol of future wireless networks, however, requires sensing data from the various monitoring values in the large-scale wireless sensor network and, hence, may not be effectively built if based on the current host-centric scheme. We must therefore redesign based on a content-centric concept. From this perspective, we focus on an information-centric network-based wireless sensor network framework. We propose a novel, efficient caching scheme using overhearing phenomena, and boost the proposed caching mechanism by using the successive interference cancellation technique. Moreover, we propose protocol stacking and signal processing based on a cross-layer design. Our numerical result reveals that the amount of stored sensing data can be increased, the number of multi-hops reduced, and the distance of data transfer between the publisher and subscriber nodes improved by using the exhaustive computer simulation.
BIROn - Birkbeck Institutional Research Online Conﬁguring the neighbourhood effect in irregular cellular automata based models.

: Cellular automata (CA) models have been widely employed to simulate urban growth and land use change. In order to represent urban space more realistically, new approaches to CA models have explored the use of vector data instead of traditional regular grids. However, the use of irregular CA-based models brings new challenges as well as opportunities. The most strongly affected factor when using an irregular space is neighbourhood. Although neighbourhood definition in an irregular environment has been reported in the literature, the question of how to model the neighbourhood effect remains largely unexplored. In order to shed light on this question, this paper proposed the use of spatial metrics to characterise and measure the neighbourhood effect in irregular CA-based models. These metrics, originally developed for raster environments, namely the enrichment factor and the neighbourhood index, were adapted and applied in the irregular space employed by the model. Using the results of these metrics, distance-decay functions were calculated to reproduce the push-and-pull effect between the simulated land uses. The outcomes of a total of 55 simulations (five sets of different distance functions and eleven different neighbourhood definition distances) were compared with observed changes in the study area during the calibration period. Our results demonstrate that the proposed methodology improves the outcomes of the urban growth simulation model tested and could be applied to other irregular CA-based models.
A Policy for Group Handover Attempts over Heterogeneous Networks

—The proliferation of heterogeneous wireless networks and devices with multiple wireless link-layer technologies have called attention to the development of efﬁcient vertical handover policies. Research on providing efﬁcient vertical handover includes either the proposal of novel solutions or adaptations into existing horizontal handover schemes. In this work, we propose a policy for Group Vertical Handover (GVHO) attempts. We apply such a policy to an existing GVHO scheme, which handles vertical group handover based on a threshold that limits handover blocking probability. Performance is evaluated through simulation under several scenarios. To provide more realistic situations, we consider channel holding time in our studies. In addition, we study the fraction of blocked nodes and we vary threshold values for blocking probability. We compare our solution to that of the studied GVHO scheme. Results show that our solution reduces the handover latency and the fraction of blocked nodes while maintaining the handover blocking probability under a predeﬁned threshold. In particular, latency is reduced from 11% to 51.5% in some of the scenarios studied.
Stakeholders’ Perception on Critical Success Factors Influencing Electronic Procurement Adoption in Developing Counties: Experience from Tanzania

The general objective of this study was to examine the stakeholders’ perception on critical success factors influencing Tanzania National electronic Procurement System adoption in public sector. The specific research objectives of the study were to: evaluate the perceived influences of legal framework, performance expectancy, relative advantage and attitude towards Tanzania National Electronic Procurement System implementation. The study adopted positivism philosophy and cross-sectional survey research design. The study also used stratified sampling technique. Sample size was 157 respondents. A questionnaire with closed ended questions and documentary review were used for data collection. The collected data were analyzed using Partial Least Squares Structural Equation Modelling with the help of SmartPLS 3 software. Findings reveal that all critical success factors were perceived the same by stakeholders (procurement experts and suppliers) towards Tanzania National Electronic Procurement System adoption. The study concludes that there is no significant difference with regard to stakeholders’ perception on critical success factors influencing Tanzania National electronic Procurement System adoption. The study recommends paying attention to relative advantage, performance expectancy and legal framework to significantly change the mindset of all stakeholders in the country in supporting of Tanzania National Electronic Procurement System implementation.
Fiducial Marker Based on Projective Invariant for Augmented Reality

基准的标记基于的扩充现实有许多应用。 到目前为止，基准的标记的内部模式总是被用来编码标记。 因此，基准的标记图象的大部分被用于编码而不是为姿势精确性提供相应特征点。 这篇论文论述直接利用的一个新奇方法射影不变在相应特征点的位置的关系包含了编码标记。 建议方法不为再编码要求模式图象的区域并且能提供更多的相应特征点以便更高的姿势精确性能容易被完成。 象累积分布函数，设计确认和柔韧的过程那样的许多相关途径被建议克服敏感的问题射影不变。 建议基准的标记系统可靠、柔韧的试验性的结果表演，和罐头比由存在基准的标记系统完成了提供更高的姿势精确性。 电子增补材料这篇文章(doi:10.1007/s11390-007-9100-0 ) 的联机版本包含增补材料，它对授权用户可得到。
SL651498: An Anxioselective Compound with Functional Selectivity for a 2 - and a 3 -Containing g -Aminobutyric Acid A (GABA A ) Receptors

[6-fluoro-9-methyl-2-phenyl-4-(pyrrolidin-1-yl-car- bonyl)-2,9-dihydro-1 H -pyrido[3,4- b ]indol-1-one] is a novel pyridoindole derivative that displays high affinity for rat native GABA A receptors containing a 1 ( K i 5 6.8 nM) and a 2 ( K i 5 12.3 nM) subunits, and weaker affinity for a 5 -containing GABA A receptors ( K i 5 117 nM). Studies on recombinant rat GABA A receptors confirm these data ( K i , a 1 b 2 g 2 5 17, a 2 b 2 g 2 5 73, a 5 b 3 g 2 5 215 nM) and indicate intermediate affinity for the a 3 b 2 g 2 subtype ( K i 5 80 nM). SL651498 behaves as a full agonist at recombinant rat GABA A receptors containing a 2 and a 3 subunits and as a partial agonist at recombinant GABA A receptors expressing a 1 and a 5 subunits. SL651498 elicited anxiolytic-like activity similar to that of diazepam [minimal effective dose (MED): 1–10 mg/kg, i.p.] in three conflict models, in the elevated plus-maze, the light/dark test, and the defense test battery in rats and mice. Results from activity tests and elec-troencephalogram analysis indicated that SL651498 induced muscle weakness, ataxia, or sedation at doses much higher than those producing anxiolytic-like activity (MED $ 30 mg/kg, i.p.). Repeated treatment for 10 days with SL651498 (30 mg/kg, i.p., b.i.d.) in mice was not associated with the development of tolerance to its anticonvulsant effects or physical dependence. Furthermore, SL651498 was much less active than diazepam in potentiating the depressant effects of ethanol in mice. The “anxioselective” profile of SL651498 points to a major role for GABA A a 2 subtype in regulating anxiety and suggests that selectively targeting GABA A receptor subtypes can lead to drugs with increased clinical specificity. tiated: wakefulness characterized low voltage ECoG activity), classical sleep or slow-wave sleep (SWS, characterized an increase in ECoG activity and development of high-amplitude slow waves with some bursts of sleep spindles), and paradoxical sleep (PS) or rapid eye movement (REM) sleep (characterized by hypersynchroni- zation of the theta rhythm in the visual area). Analysis of the ECoG signal was performed automatically by means of a computerized system discriminating between the various sleep phases using Hjorth’s descriptors. Visual control was also performed. of effects on sleep-wakefulness Results
Mathematical modeling of greenhouse-livestock complex heated by solar and bioenergy sources

The article develops a mathematical model of the heat supply system of the greenhouse complex, taking into account the free heat flow in the animals, solar energy, heat energy stored in heat accumulators and developed through the program MATLAB / Simulink. In the development of a mathematical model of the heat supply system of the greenhouse complex, a block diagram of the equation in the program MATLAB / Simulink was developed, without taking into account the change in air density and specific heat capacity with temperature. According to the graphic results obtained for the daily value of solar radiation 500 W/m2, outside air temperature, -6 °C in Karshi, the air temperature inside the greenhouse rises to 22 °C, water tank battery temperature to 13 °C, underground heat accumulator temperature to 17 °C. can be seen. while the amount of total solar radiation was 300 W/m2, this figure was found to be 14 °C, 9 °C, and 12 °C.
Associativism of Accounting Professionals Associativism of Accounting Professionals

This chapter aims to discuss the role of professional accounting associations and orders in relation to the current context of accounting training. It is intended, with this, to broaden the discussion about the performance of these professional entities, since they are placed as of public interest. Its work with the universities, aiming to interfere in the training process of future professionals, whether by the application of evidence of access to the profession or by direct and indirect influence in the construction of the curricular con tents intended to form the accountants, must be thought openly and free of ideological load. Thus, it is considered important to analyze the aspects of the relationship between universities and such class entities, in order to know if there is a disinterested relationship or if, on the contrary, the university is influenced by professional accounting associations and orders, in percussion of their selfish interests.
Review of Ameliorative Potentials of Plant-Derived Phytochemicals against Arthritics

Traditional herbals are practiced from time immemorial for the treatment of arthritis especially in developing countries. Plants inhabiting across the countries especially India, China, Korea and Nigeria were traditionally used by different tribes/ethnic groups for ameliorating arthritis. Herbals/their parts/crude extracts/polyherbal combinations against arthritis have been accounted reviewed in the study. Plants such as Matricaria chamomilla , Cichorium intybus , Rhododendron campanulatum, Plumbago rosea, Salvadora oleoides, Acacia polyantha were being used traditionally to ameliorate painful inflammatory conditions but not fully explored experimentally in the treatment of arthritis. 124 plant species are documented in the present study as tribal knowledge against arthritis. Similarly, polyphenols are the major phytochemical reported in most of the species. Even though, plant extracts or individual phytochemicals derived from herbals exhibit remarkable potential but the underlying biochemical or molecular mechanism has not been properly elucidated. There is an urgent need to screen the active molecule of these herbals as potential agents and monitor the biosafety of these novel constituents.
Robust haptic feedback for telemanipulation with time delays in a domestic environment MSc Thesis Robust haptic feedback for telemanipulation with time delays in a domestic environment

The use of robotic technologies in uncertain or unpredictable environments requires telemanipulation which can suffer from substantial variable communication delays between operator input and robot output. Delays prohibit smooth control of movements, and complicate the implementation of force feedback to the operator. Literature proposes several bilateral control solutions to provide force feedback in face of variable time delays. However, these solutions have not been tested in humanin-the-loop experiments, and no comparisons of their benefits and limitations are available. This paper provides a detailed comparison of 7 bilateral telemanipulation control architectures (5 from literature, and 2 adaptations based on literature) to motivate the choice for the most promising method to implement in practice, as well as a human factors experiment to validate the usefulness of the implemented method. It is shown that a novel wave variable controller, with wave impedance gain adapted to the measured delay, displays the best performance in simulation. Furthermore, this method has been implemented on a realistic service robot and it has been shown that the operator task performance is improved, in terms of success rate and interaction forces, for a simple placement task, when haptic feedback is provided, regardless of the presence of delays. The novel method provides a solution to provide haptic feedback in domestic telemanipulation under the presence of time delays. This method could thus accelerate the implementation of service robots in domestic environments.
on the substantiation of a health claim related to olive leaf ( Olea europaea L . ) water extract and increase in glucose tolerance pursuant to Article 13 ( 5 ) of Regulation ( EC ) No 1924 / 2006

Following an application from Comvita New Zealand Limited, submitted pursuant to Article 13(5) of Regulation (EC) No 1924/2006 via the Competent Authority of the United Kingdom, the Panel on Dietetic Products, Nutrition and Allergies (NDA) was asked to deliver an opinion on the scientific substantiation of a health claim related to olive (Olea europaea L.) leaf water extract and increase in glucose tolerance. The food that is the subject of the health claim, olive leaf water extract standardised by its content of oleuropein, is sufficiently characterised. The claimed effect, an increase in glucose tolerance, is a beneficial physiological effect as long as serum insulin concentrations are not disproportionately increased. One human intervention study showed an increase in glucose tolerance without disproportionate increase in insulin concentrations after daily consumption of the olive leaf water extract for 12 weeks under the conditions of use proposed by the applicant. However, the results have not been replicated in other studies, and no evidence has been provided in relation to the mechanism by which the olive leaf water extract could exert the claimed effect. The scientific evidence is insufficient to establish a cause and effect relationship between the consumption of olive leaf water extract and an increase in glucose tolerance. © European Food Safety Authority, 2014
P UBLIC S ERVICE M OTIVATION , O RGANIZATIONAL S OCIAL C APITAL , W ORKPLACE E NVIRONMENT , AND K NOWLEDGE S HARING B EHAVIOR WITHIN THE P UBLIC S ECTOR 公共部

This paper aims to establish a research model of knowledge sharing in the public sector and attempts to explain why some public organizations can benefit from knowledge sharing while others cannot. The antecedents of knowledge sharing in the model consist of attitude, public service motivation, organizational social capital, workplace friendship, and team culture. Based on a survey of 343 managers of public organizations in Southern Vietnam, the results illustrate that attitude toward knowledge sharing, organizational social capital, and workplace friendship significantly influence knowledge sharing. By contrast, there is no evidence supporting direct impacts of public service motivation and team culture on knowledge sharing. The study also highlights some theoretical contributions and makes specific recommendations for motivating public servants to participate in knowledge sharing activities.
A Hybrid Approach to Improve the Performance of Word Alignment in English-Hindi Bilingual Corpora with Scarce Resources

—This paper presents a hybrid approach to improve the performance of word alignment for English-Hindi language pair with scarce resources. Sentence segmentation and part of speech tag information is used to improve the performance of word alignment. IBM Model 1 is used as word alignment algorithm. This paper demonstrates increase of precision, recall and F-measure by approximately 12%, 11%, 12% respectively and reduction in Alignment Error Rate (AER) by approximately 12%. Experiments of this paper are based on TDIL corpus of size 1000 where 5% of the corpus is used for testing and rest corpus is used for training.
Recommendation of Services By Mapping Categorical Preferences With Past User Comments Using Hadoop

— Recommendation of services attempts to give the guidance to the users regarding the useful services based on their personalized preferences, past behavior or their similar likings with the other users. The various approaches of recommendation systems, like content-based, collaborative filtering, hybrid, etc, can further be classified according to their algorithmic technique as memory-based (heuristic) or model-based recommendation algorithms. Ratings and rankings are only being considered by many existing recommendation systems, ignoring the categorical preferences and likings of the users. Big Data, a major issue, is contributing to a large amount of data which is not only difficult to capture, store, manage and analyze but is also affecting many recommender systems with inefficiency and scalability problems. Proposed system enhances existing recommendation systems to generate recommendations based on the categorical preferences of the present user by matching them with the reviews/comments of the past users’. Keywords are used to indicate the preferences of present and past users and similarity between them is computed using methods like approximate and exact similarity computation. Semantic analysis is performed on the reviews to eliminate the unnecessary reviews of the users. To improve the performance of recommendation system in big data environment it can be ported on distributed computing platform, Hadoop which uses a Map-reduce computing framework.