Miracle-dz/UniFAR-FTUs huggingface dataset:
Radio Interferences Performances in 750KV Transmission Line & 400KV Transmission Line of HVAC Transmission system by MATLAB program

1965 www.ijarcet. org Radio Interferences Performances in 750KV Transmission Line & 400KV Transmission Line of HVAC Transmission system by MATLAB program Alka Szeerin Mansoori M.E. Student of Electrical Engineering Department, Jabalpur Engineering College, Jabalpur ______________________________________________________________________________ Abstract— This paper presents the methodologies for the radio interference measurements of electrical system in transmission lines, its effect, level, rules and design criteria describes that. This paper also shown that 750kV and 400kV transmission lines radio interference results through MATLAB software general program.
Local adaptive contrast enchancement in digital images

In this paper an algorithm for optical quality enhancement in low contrast images is proposed. The brightness dynamic region is increased using a non-linear transformation function, which is adapted from the local contrast. In a new approach, the local contrast is defined in every central pixel, using a four direction masking method and a statistical estimation of the local contrast value. Two adaptive thresholds locate the exact pixel positions where the proposed contrast adjustment algorithm is used to improve the image quality. In the evaluation process, several artificially distorted images are enhanced and the mean square error and peak noise ratio between the restored and the original images are estimated. The experimental results show both objective and subjective improvements in the image quality.
Demystifying the Imperfect Client-Side Cache Performance of Mobile Web Browsing

The web browser is one of the most significant applications on mobile devices such as smartphones. However, the user experience of mobile web browsing is undesirable because of the slow resource loading. To improve the performance of web resource loading, client-side cache has been adopted as a key mechanism. However, the existing passive measurement studies cannot comprehensively characterize the “client-side” cache performance of mobile web browsing. For example, most of these studies mainly focus on client-side implementations but not server-side configurations, suffer from biased user behaviors, and fail to study “miscached” resources. To address these issues, in this article, we present a proactive approach to making a comprehensive measurement study on client-side cache performance. The key idea of our approach is to proactively crawl resources from hundreds of websites periodically with a fine-grained time interval. Thus, we are able to uncover the resource update history and cache configurations at the server side, and analyze the cache performance in various time granularities. Based on our collected data, we build a new cache analysis model and study the upper bound of how high percentage of resources could potentially be cached and how effectively the caching works in practice. We report detailed analysis results of different websites and various types of web resources, and identify the problems caused by unsatisfactory cache performance. In particular, we identify two major problems - Redundant Transfer and Miscached Resource, which lead to unsatisfactory cache performance. We investigate three main root causes: Same Content, Heuristic Expiration, and Conservative Expiration Time, and discuss what mobile web developers can do to mitigate those problems.
Personalized accessibility based Re-ranking of Search Engine Results (PARSER)

The relevancy and usability of the contents retrieved are the two major factors for deciding the utility value of web resources. In the case of persons with disabilities the usability aspect of the interface is solely dependent on the accessibility of the web contents. This paper proposes a model termed PARSER - Personalized Accessibility based Re-ranking of Search Engine Results which aims towards quantizing the optimality of the pages with respect to the user's personalized accessibility and information requirement context. The PARSER model proposes a metric termed PAS - Personalized Accessibility Score which computes the accessibility score of a given web page for a particular user profile. The model incorporates aggregation of three ranked lists derived by search engines, accessibility scores and personalized information requirement context, to build the re-ranked list. The interface proposed by the PARSER model is targeted towards reducing the information access barrier.
MPPT Design using Perturb & Observe Method Combined with Fire Fly Algorithm

2,3 Abstract: The energy demand is increased now days and the non- renewable energies are produce high environmental hazards and its reduced by the renewable energy resources. In solar energy is convert electrical energy which help of photo voltaic (PV) generation. The solar energy efficacy reduced because of climatic change, so need to track maximum power point of PV. The maximum power point tracking (MPPT) methods like perturb-and-observe (P&O) method is used to track only the first local maximum point (LMP) the progress. MPPT methods based on Fire Fly Algorithm (FA) used to track the global maximum point (GMP). But the problem associated with the FA algorithm is produce long time for searching the LMP. This paper reports a hybrid method, which combines P&O and FA methods. First, the P&O method is used to find the local maximum point. Then, starting from that point on, the FA method is used to search the GMP. The advantage of the proposed the time that is required for convergence improved.
Neuro-Symbolic Approaches for Knowledge Representation in Expert Systems

In this paper, we first present and compare existing categorization schemes for neuro-symbolic approaches. We then stress the point that not all hybrid neuro-symbolic approaches can be accommodated by existing categories. Such a case is rule-based neuro-symbolic approaches that propose a unified knowledge representation scheme suitable for use in expert systems. That kind of integrated schemes have the two component approaches tightly and indistinguishably integrated, offer an interactive inference engine and can provide explanations. Therefore, we introduce a new category of neuro-symbolic integrations, namely 'representational integrations'. Furthermore, two sub-categories of representational integrations are distinguished, based on which of the two component approaches of the integrations is given pre-eminence. Representative approaches as well as advantages and disadvantages of both sub-categories are discussed.
Improving rotation forest performance for imbalanced data classification through fuzzy clustering

In this paper, fuzzy C-means clustering and Rotation Forest (RF) are combined to construct a high performance classifier for imbalanced data classification. Data samples are clustered via fuzzy clustering and then fuzzy membership function matrix is added into data samples. Therefore, clusters memberships of samples are utilized as new features that are added into the original features. After that, RF is utilized for classification where the new set of features as well as the original ones are taken into account in the feature subspacing phase. The proposed algorithm utilizes SMOTE oversampling algorithm for balancing data samples. The obtained results confirm that our proposed method outperforms the other well-known bagging algorithms.
Measuring the Mechanical Properties of Plant Cell Walls

The size, shape and stability of a plant depend on the flexibility and integrity of its cell walls, which, at the same time, need to allow cell expansion for growth, while maintaining mechanical stability. Biomechanical studies largely vanished from the focus of plant science with the rapid progress of genetics and molecular biology since the mid-twentieth century. However, the development of more sensitive measurement tools renewed the interest in plant biomechanics in recent years, not only to understand the fundamental concepts of growth and morphogenesis, but also with regard to economically important areas in agriculture, forestry and the paper industry. Recent advances have clearly demonstrated that mechanical forces play a crucial role in cell and organ morphogenesis, which ultimately define plant morphology. In this article, we will briefly review the available methods to determine the mechanical properties of cell walls, such as atomic force microscopy (AFM) and microindentation assays, and discuss their advantages and disadvantages. But we will focus on a novel methodological approach, called cellular force microscopy (CFM), and its automated successor, real-time CFM (RT-CFM).
Constrained Coolest Path Computation in Road Networks

Routing systems have become very attractive recently. They aim to help users on finding out the optimal path to their destinations regarding travel distance, travel time, and other criteria. This paper presents a distributed architecture for networking systems which proposes a new algorithm called Coolest path, which enables multi-criteria personalization based on travel distance, travel time, points of interest, and path simplicity. Furthermore, the paper proposes and solves a-autonomy, tautonomy and k-stops shortest path problems in road networks. A-autonomy algorithm provides the Coolest path considering n stops for each a distance. Tautonomy algorithm provides the Coolest path considering n stops for each t time interval. Finally, kstops algorithm provides the Coolest path considering k stops.
Adult neurogenesis in the central olfactory pathway in the absence of receptor neuron turnover in Libinia emarginata

Life‐long neurogenesis is a characteristic feature of the olfactory pathways of a phylogenetically diverse array of animals. In both vertebrates and invertebrates, the life‐long addition of olfactory interneurons in the brain occurs in parallel with the continuous proliferation of olfactory receptor neurons in the olfactory organ. It has been proposed that these two processes are related functionally, with new olfactory interneurons being added to accommodate the new olfactory receptor neurons added in the periphery. While this has not been tested directly because the two processes are not readily separable, this question can be addressed in the olfactory pathway of the crab, Libinia emarginata. Unlike most decapod crustaceans, which moult and grow throughout life, L. emarginata has a terminal, maturational moult after which animals become anecdysic (stop moulting). Because the addition of new receptor neurons in crustaceans is associated with moulting, a comparison of neurogenesis in immature and mature L. emarginata provides an opportunity to examine the interdependence of central and peripheral neurogenesis in the olfactory pathway. This study demonstrates that the continuous addition of olfactory receptor neurons in L. emarginata ceases at the terminal moult but that proliferation and differentiation of olfactory interneurons in the brain continues in mature animals. Contrary to the general assumption, therefore, continuous neurogenesis in the central olfactory pathway of this species does not occur as part of a process involving the coregulation of central and peripheral neurogenesis. These findings suggest that peripheral neurogenesis is not a requirement for continuous neurogenesis in the central olfactory pathway.
“I can’t decide, and it upsets me”: assessing self-critical cognition, indecision, and hope among young adults

background Decisional procrastination, or indecision, is the maladaptive postponing of decision-making when faced with conflicts or choices. In the present exploratory study, we examined two factors of a psychological model toward understanding the underpinnings of indecision, namely: self-critical cognition as a predisposition to indecision and decreased hope as a post-decision behavior of indecision. Self-critical cognition is the tendency for selfrelated thoughts to be critical and defeating. It is hypothesized to predict indecision as self-critical individuals are likely to also doubt their competence at tasks such as decision-making and may, in turn, delay. Decreased hope is hypothesized to be an outcome of indecision as the latter is related to anxiety, worry, and life regret.
Effect of phase response curve skew on synchronization with and without conduction delays

A central problem in cortical processing including sensory binding and attentional gating is how neurons can synchronize their responses with zero or near-zero time lag. For a spontaneously firing neuron, an input from another neuron can delay or advance the next spike by different amounts depending upon the timing of the input relative to the previous spike. This information constitutes the phase response curve (PRC). We present a simple graphical method for determining the effect of PRC shape on synchronization tendencies and illustrate it using type 1 PRCs, which consist entirely of advances (delays) in response to excitation (inhibition). We obtained the following generic solutions for type 1 PRCs, which include the pulse-coupled leaky integrate and fire model. For pairs with mutual excitation, exact synchrony can be stable for strong coupling because of the stabilizing effect of the causal limit region of the PRC in which an input triggers a spike immediately upon arrival. However, synchrony is unstable for short delays, because delayed inputs arrive during a refractory period and cannot trigger an immediate spike. Right skew destabilizes antiphase and enables modes with time lags that grow as the conduction delay is increased. Therefore, right skew favors near synchrony at short conduction delays and a gradual transition between synchrony and antiphase for pairs coupled by mutual excitation. For pairs with mutual inhibition, zero time lag synchrony is stable for conduction delays ranging from zero to a substantial fraction of the period for pairs. However, for right skew there is a preferred antiphase mode at short delays. In contrast to mutual excitation, left skew destabilizes antiphase for mutual inhibition so that synchrony dominates at short delays as well. These pairwise synchronization tendencies constrain the synchronization properties of neurons embedded in larger networks.
Supervoxel-based saliency detection for large-scale colored 3D point clouds

Large-scale 3D point clouds have been actively used in many applications with the advent of capturing devices. In this paper, we propose a novel saliency detection algorithm for large-scale colored 3D point clouds which capture real-world scenes. We first voxelize an input point cloud, and then partition voxels into a supervoxel which corresponds to a clusters at the lowest level. We construct the supervoxel cluster hierarchy iteratively, where a high level cluster includes low level clusters which exhibit similar features to each other. We also estimate the saliency at each cluster by computing the distinctness of geometric and color features based on center-surround contrast. By averaging the multiscale saliency maps obtained at different levels of clusters, we obtain final saliency distribution. Experimental results demonstrate that the proposed algorithm extracts globally and locally salient regions from large-scale colored 3D point clouds faithfully by employing the geometric and photometric features together.
Does Inclusion of Education and Marital Status Improve SCORE Performance in Central and Eastern Europe and Former Soviet Union? Findings from MONICA and HAPIEE Cohorts

Background and Objective The SCORE scale predicts the 10-year risk of fatal atherosclerotic cardiovascular disease (CVD), based on conventional risk factors. The high-risk version of SCORE is recommended for Central and Eastern Europe and former Soviet Union (CEE/FSU), due to high CVD mortality rates in these countries. Given the pronounced social gradient in cardiovascular mortality in the region, it is important to consider social factors in the CVD risk prediction. We investigated whether adding education and marital status to SCORE benefits its prognostic performance in two sets of population-based CEE/FSU cohorts. Methods The WHO MONICA (MONItoring of trends and determinants in CArdiovascular disease) cohorts from the Czech Republic, Poland (Warsaw and Tarnobrzeg), Lithuania (Kaunas), and Russia (Novosibirsk) were followed from the mid-1980s (577 atherosclerotic CVD deaths among 14,969 participants with non-missing data). The HAPIEE (Health, Alcohol, and Psychosocial factors In Eastern Europe) study follows Czech, Polish (Krakow), and Russian (Novosibirsk) cohorts from 2002–05 (395 atherosclerotic CVD deaths in 19,900 individuals with non-missing data). Results In MONICA and HAPIEE, the high-risk SCORE ≥5% at baseline strongly and significantly predicted fatal CVD both before and after adjustment for education and marital status. After controlling for SCORE, lower education and non-married status were significantly associated with CVD mortality in some samples. SCORE extension by these additional risk factors only slightly improved indices of calibration and discrimination (integrated discrimination improvement <5% in men and ≤1% in women). Conclusion Extending SCORE by education and marital status failed to substantially improve its prognostic performance in population-based CEE/FSU cohorts.
The Electoral Origins Of Divided Government

The sheets of paper are cut off and are preferably provided with creases extending in the direction of travel by means of two cooperating creasing rollers to prevent a bending of the sheets as they are interleaved, and the sheets are interleaved immediately thereafter between the slices of cheese as they fall from the delivery end of a cheese-slicing machine. A continuously rotating cylindrical roller perforating cutter is provided, which cooperates with a backing roller and rotates at a higher peripheral velocity than the preceding pair of feed rollers.
Sensorless Control of Linear Tubular Permanent Magnet Synchronous Motors Using Pulsating Signal Injection

Direct drives with linear permanent magnet synchronous motors (LPMSMs) are recently attracting the attention of both industry and academia. On the one hand such electric drives permit to reduce size and increase reliability thanks to the lack of mechanical reduction and transmission devices. On the other hand precision positioning requires linear position sensing with a measuring range (and size) equal to the motor allowed travel. It is clear the advantage of sensorless control in such applications in terms of reduced hardware complexity, cost and maintenance requirements. This paper presents a position sensorless control scheme based on high frequency signal injection. A pulsating voltage is superimposed to the control voltage along the estimated d-axis direction. Then a novel demodulation procedure implemented in stationary coordinates is proposed to extract position information. The procedure has a reduced computational cost if compared to the alternatives already proposed in the related literature and requires no tuning effort. A demonstration of the algorithm convergence valid in transient conditions, and a novel method to measure the high frequency motor impedance are also presented. The proposed approach is well suited for motors with reduced magnetic saliency such as tubular LPMSM. The above considerations are validated by extensive experiments.
A toolkit approach to sketched diagram recognition

Sketch-based tools provide a more human centered design environment than traditional widget-based computer design software. A number of sketch tools exist that support specific design tasks: however wider exploration of computer supported sketching is being hampered by the effort required to build the sketching software. Here we present a sketch tool framework, its implementation and evaluation. The implementation, InkKit, provides context free design spaces and a powerful, trainable and extensible modeless writing/drawing recognition engine. It reduces the development effort for a specific diagram type from thousands of lines of code to a few hundred. We evaluated our toolkit by asking fourth year computer science students to use InkKit to develop a diagram specific recognizer.
Optimization of Multicast logd(N, m, p) Switching Networks

The general case of multiplane wide-sense nonblocking multicast switching networks which are based on the baseline network are considered in this paper. Up to now, widesense nonblocking (WSNB) log2 (N, 0, p), log2 (N,m, p) and logd (N, 0, p) switching networks have been considered for multicast connections. A control algorithm under which these networks are WSNB is called the variable-size blocking window algorithm. In this paper, the path-searching algorithm is adopted for logd (N, m, p) networks with m extra stages and for general case d ≥ 2. The WSNB multicast conditions for logd (N, m, p) networks are presented (without proofs) and the optimal multicast switching networks are investigated.
Neurochemical Mechanisms Underlying Alcohol Withdrawal

More than 50 years ago, C.K. Himmelsbach first suggested that physiological mechanisms responsible for maintaining a stable state of equilibrium (i.e., homeostasis) in the patient’s body and brain are responsible for drug tolerance and the drug withdrawal syndrome. In the latter case, he suggested that the absence of the drug leaves these same homeostatic mechanisms exposed, leading to the withdrawal syndrome. This theory provides the framework for a majority of neurochemical investigations of the adaptations that occur in alcohol dependence and how these adaptations may precipitate withdrawal. This article examines the Himmelsbach theory and its application to alcohol withdrawal; reviews the animal models being used to study withdrawal; and looks at the postulated neuroadaptations in three systems—the gamma-aminobutyric acid (GABA) neurotransmitter system, the glutamate neurotransmitter system, and the calcium channel system that regulates various processes inside neurons. The role of these neuroadaptations in withdrawal and the clinical implications of this research also are considered.
The effectiveness of constraint-led training on skill development in interceptive sports: A systematic review (Clark, McEwan and Christie) – A Commentary

Clark, McEwan and Christie's systematic review1 offers a timely examination of current literature assessing effects of a constraints-led approach (CLA) to training on ‘technical and cognitive skill in sport’, in comparison to traditional training methods. They concluded that, currently, there is strong evidence to advocate for the effects of training interventions that espouse benefits of constraints-led training on acquiring skill in interceptive actions. Clark, McEwan and Christie reported that 18 studies satisfied their proposed inclusion criteria and, of these studies, 77% provided evidence of the effectiveness of the CLA. Consequently, Clark, McEwan and Christie argued that a ‘the implementation of the constraints-led approach within interceptive sport can be advocated’ (p. 17). This is a revealing insight, which supports their claims that this finding ‘provides the opportunity for researchers to collect more compelling evidence to answer the question: “Does constraint-led training assist with the development of technical skills within interceptive sport? ”’. While we endorse their call for more empirical evidence on the effectiveness of a CLA to practice and training design, we qualify it by highlighting some limitations of Clark, McEwan and Christie's systematic review.