Miracle-dz/UniFAR-FTUs huggingface dataset:
fastLASSO: Variable Selection in Kernel Machine Modeling for Cross Disorder Analysis

study. Department of Statistics, North Carolina State University, Raleigh, North Carolina, United States of America Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina, United States of America Department of Statistics, National Cheng-Kung University, Tainan, Taiwan
An appraisal for features selection of offline handwritten signature verification techniques

This research provides a summary of widely used Handwritten Signature Verification based feature selection techniques. Moreover, the focus is on selected best features of signature verification, characterized by the number of features represented for each signature and the aim is to discriminate if a given signature is genuine or a forgery. We presented how the discussion, on the advantages and drawbacks of feature selection techniques, has been handled by several researchers in the past few decades and the recent advancements in the field.
Effective File Replication and Consistency Maintenance Mechanism in P 2 P Systems By

In peer–to-peer file sharing systems, file replication and consistency maintenance are widely used techniques for high system performance. Despite significant interdependencies between them, these two issues are typically addressed separately. Most file replication methods rigidly specify replica nodes, leading to low replica utilization, unnecessary replicas and hence extra consistency maintenance overhead. Most consistency maintenance methods propagate update messages based on message spreading or a structure without considering file replication dynamism, leading to inefficient file update and hence high possibility of outdated file response. This paper presents an Integrated file Replication and consistency Maintenance mechanism that integrates the two techniques in a systematic and harmonized manner. It achieves high efficiency in file replication and consistency maintenance at a significantly low cost. Instead of passively accepting replicas and updates, each node determines file replication and update polling by dynamically adapting to time-varying file query and update rates, which avoids unnecessary file replications and updates. It dramatically reduces overhead and yields significant improvements on the efficiency of both file replication and consistency maintenance
Effects of estrogen replacement therapy on cholinergic basal forebrain neurons and cortical cholinergic innervation in young and aged ovariectomized rhesus monkeys

Estrogen modulates the function of cholinergic basal forebrain neurons in aged female rats. The present study tested the hypothesis that estrogen enhances the phenotype of cholinergic basal forebrain neurons and their cortical cholinergic innervation in young adult and aged ovariectomized rhesus monkeys. Sixteen monkeys (9 young and 7 aged) received two injections of estradiol cypionate or vehicle separated by 3 weeks. All monkeys were killed 1 day after the last injection. Quantitative immunofluorescence in the vertical limb of the diagonal band (VLDB) revealed enhanced optical density for choline acetyltransferase (ChAT) in both young and aged monkeys treated with estrogen. In contrast, optical density for low‐affinity p75 neurotrophin receptor immunoreactivity in the VLDB did not change after estrogen treatment in either aged or young animals. Quantitative immunofluorescence for either ChAT or the low‐affinity p75 neurotrophin receptor in the nucleus basalis Meynert failed to reveal differences between vehicle and estrogen treatment in either age group. Quantitative estimates of acetylcholinesterase (AChE) fiber density revealed that estrogen‐treated aged monkeys but not their younger counterparts had decreased numbers of AChE‐positive fibers in layer II of frontal, insular, and cingulate cortices. These data indicate that estrogen administered in a manner simulating natural hormonal cyclicity produces modest age‐specific chemical phenotypic and regional changes in select neuronal subfields of the cholinergic basal forebrain and their cortical projection sites in nonhuman primates. J. Comp. Neurol. 472:193–207, 2004. © 2004 Wiley‐Liss, Inc.
Cost analysis for decision support in water supply systems rehabilitation : method and case study

The present research work aims at the development and the application of an operational model of cost analysis for decision support in water supply systems (WSS) rehabilitation. Thus, a state of the art review of the main components and the main techniques of conducts and tanks rehabilitation of the WSS have been carried out. In this literary revision, some existing models of WSS cost analysis have been described (CARE-W, WLC, a model from NRC and EPAL, S.A., as well as a methodology of risk analysis according to ISO 31000, some financial concepts (e.g., direct, indirect and external costs), and financial indicators (e.g., present value, return on investment). The cost analysis model was structured in four distinct modules: Module 1 – Cost database; Module 2 – Infrastructure value indice; Module 3 – Whole life costing; Module 4 – Costbenefit analysis. The methodology was applied to different case studies: Module 1 was the ground for the other modules; the module 2 to a water distribution network; module 3 to a main trunk and to pumping station; module 4 to a treatment station, pumping station and trunks and service connections. The necessity of rehabilitation of water supply systems, due to degradation, is increasing in importance, which being managed by entities of public overtone, implies a well-taken care of management at financial level.
Qualitative Inquiries in Music Therapy 2019 : 14 ( 2 ) Barcelona Publishers THE POTENTIAL OF PARADOX : CHAOS AND ORDER AS INTERDEPENDENT RESOURCES WITHIN SHORT-TERM MUSIC THERAPY GROUPS WITH YOUNG OFFENDERS IN SOUTH AFRICA

Whilst many therapists find the chaotic nature of groups with adolescents challenging, this has rarely been explored in the music therapy literature. This research explores my personal experiences of chaos as a potential resource in short-term music therapy groups with young offenders in South Africa. The study utilises crystallisation, combining grounded theory techniques alongside the use of coloured patterns that depict the data to analyse field notes recorded over 10 years of my work in this context. This supports the development of a preliminary theory. Emergent findings suggest that chaotic experiences enable group transformation alongside the order required for group formation. Predictable musical frameworks, shared music preferences and collaborative music-making strengthened groups through offering boundaries, belonging and affirmation. Intense, dissonant music-making and group conflicts instigated chaos that challenged group members to broaden their perspectives, incorporate diversity and formulate new ways of being together. The paradoxical interrelationship between order and chaos urged group members to balance tensions between compliance and resistance, unity and diversity, creation and destruction, bolstering their capacity to recreate their lives within complex contexts. This study necessitates that music therapists reconsider assumptions regarding our engagement with chaos in music therapy groups with young people.
Real-time fire detection method combining AdaBoost, LBP and convolutional neural network in video sequence

This paper presents a novel algorithm for detection certain types of emergencies relating to fire, smoke and explosions by processing the data recorded from the camera monitoring, based on cascaded approach. First, the combination of Adaboost and Local binary pattern (LBP) are using for getting Region of Interest (ROI) and reducing time complexity. Next, to alleviate common problems of vulnerable such as false positive, we propose to use Convolutional Neural Network (CNN). The final experimental results showed that the accuracy rate of this method for emergencies detection could reach 95.2%.
Avoiding Dilution Error With the LAL Assay

PURPOSE: To provide a forum for discussion of microbiology issues in the pharmaceutical and related industry. The information contained in this newsletter includes the professional opinions of individuals and does not represent the policies or operations of any corporation or government agency to which they may be associated. PMF Newsletter is intended to serve as an open forum. The information in PMF Newsletter is solely for informational purposes and is developed from sources believed to be reliable. Statements expressed constitute current opinions derived through analysis of available information and professional networking. Articles or opinions are for information only to stimulate discussion and are not necessarily the views of the PMF board or regulatory agencies. The PMF Newsletter cannot make any representations as to the accuracy or completeness of the information presented and the publisher cannot be held liable for errors. PMF NEWSLETTER
Spatial organization of visual messages of the rabbit's cerebellar flocculus. II. Complex and simple spike responses of Purkinje cells.

1. Complex and simple spike responses of Purkinje cells were recorded in the flocculus of anesthetized, paralyzed rabbits during rotating full-field visual stimuli produced by a three-axis planetarium projector. 2. On the basis of the spatial properties of their complex spike responses, floccular Purkinje cells could be placed into three distinct classes called Vertical Axis, Anterior (45 degrees) Axis and Posterior (135 degrees) Axis. The first two classes occurred in both monocular and binocular forms; the third class was encountered only in binocular form. For the binocular response forms, stimulation through one eye, called the dominant eye, elicited a stronger modulation of the complex spike firing rate than did stimulation of the other eye. The approximate orientation of that axis about which full-field rotation elicited the deepest modulation (the preferred axis) when presented to the dominant eye served as the class label. These classes are the same as those determined qualitatively for inferior olive neurons in the previous paper (47). The present study provides a quantitative description of their spatial tuning. 3. For Vertical Axis cells, the dominant eye was ipsilateral with respect to the flocculus recording site. The preferred axis was vertical and null (no-response) axes were in the horizontal plane. For the binocular response form of Vertical Axis cells (less than 10% of this class), the direction preferences for the two eyes were synergistic with respect to rotation about the vertical axis. 4. The dominant eye for the Anterior (45 degrees) Axis cells was contralateral, with the preferred axis oriented in the horizontal plane at approximately 45 degrees contralateral azimuth. The modulation depth showed a close to cosine relation with the angle between the preferred axis and the stimulus rotation axis. The average orientation (n = 10) for the dominant eye preferred axis, determined by the best-fit sinusoid, was 47 degrees contralateral azimuth. The preferred axis orientation for the ipsilateral (nondominant) eye in the binocular response forms was between 45 and 90 degrees azimuth in the horizontal plane. A null axis for each eye was at approximately 90 degrees to the preferred axis. 5. The Posterior (135 degrees) Axis cells were encountered only in binocular response forms. The dominant eye was ipsilateral, with the preferred axis oriented at approximately 135 degrees ipsilateral azimuth close to the horizontal plane. The modulation depth showed a close to cosine relation with the angle between the preferred axis and the stimulus rotation axis. (ABSTRACT TRUNCATED AT 400 WORDS)
The significance of sarcopenia in old age.

Our knowledge of the significance of sarcopenia in old age is limited by a lack of epidemiologic data, an incomplete assessment of the pathophysiologic consequences of age-related decrements in muscle mass and quality, and poor understanding of the underlying mechanisms responsible for these decrements. These gaps prevent us from fully appreciating the extent of the public health burden that sarcopenia poses, and present major obstacles to the elucidation of therapies to prevent or reverse sarcopenia in the elderly. The National Institute on Aging convened the Workshop on Sarcopenia to address these issues. The primary questions explored at the workshop included: (a) What research is needed to determine the clinical and functional significance of sarcopenia? (b) What research is needed to understand its etiology? and (c) What opportunities are there for determining the efficacy of current or potential interventions to prevent or retard the development of sarcopenia? The research recommendations from the workshop underscored the need for more dialogue between researchers in different fields (e.g., endocrinology, exercise physiology, bone biology) and for multidisciplinary approaches in order to gain greater insight into sarcopenia. The summary of the research directions which follows has been organized according to the primary questions of the workshop.
Technical Paper of HITCSC Team for The International Aerial Robotics Competition

This manuscript introduces the scheme and progress of HITCSC Team for the International Aerial Robotics Competition in 2017. To present our scheme, we mainly depict the physical configuration and the guidance, control and navigation approach. To improve the ability of obstacle avoidance, a combination perception system of camera and lidar is used. Motion estimation technique and deep network based detection model are made use of to sense the status of the aerial robot and the environment around. A hierarchical control block is applied and random planning algorithm is used to solve the guidance and interaction problem. In final, the latest progress is illustrated. INTRODUCTION Problem Statement Mission 7 of the International Aerial Robotics Competition, requires a highly intelligent aircraft to drive autonomous robots towards a specific side of the confined indoor square arena [1]. Under the circumstance of a GPS-denied indoor arena with obstacles moving around, the aircraft are required to do accurate interaction with robots to herd them out of the arena from the green line, by collision or top touching with the robots. The aircraft is required to do the policy decision, path planning and motion control independently and have no communication with the exterior. Conceptual Solution The goal of this competition is to do precise interactions with ground target under the dynamic environment, which requires great sensing and acting ability. To accomplish this task, precise perception of the aerial robot’s status and the other mobile robots’ status is essential. Cameras and lidar are the first choice to sense the circumstance and recover the motion of robots. Another key problem is how to make policy and plan the flying path. Due to the uncertainty of the whole system, local window planning approach is used. To keep system robust and adaptive to the unpredicted factors, real time feedback scheme is our choice. Yearly Milestone This is the third year for HITCSC Team to take part in the International Aerial Robotics Competition. This year, a new design is proposed and validated. To solve the threats of obstacles, a combination perception system of camera and lidar is applied. A new physical structure is designed to interact with robots in any direction. The decisionplanning-control framework is modified to improve the efficiency of system.
Battery-supercapacitor hybrid energy storage system used in Electric Vehicle

In the race of further improvement in efficiency and performance of an Electric Vehicle (EV), one of the most crucial tasks is to improve the performance and efficiency of the electrical energy storage system regarding the electrical power density and energy capacity. In this paper, hybrid storage system with the battery module and the supercapacitor module is simulated in the MATLAB to evaluate the performance of hybrid storage system (HSS). Simulations in MATLAB SIMULINK were conducted to investigate the mitigation of battery stresses. The hybrid storage system improves the efficiency of overall storage. It is clearly represented that the battery stresses-especially electrical stresses are reduced by introducing supercapacitor.
New representations for square-integrable spheroidal functions

We discuss the solution of boundary value problems that arise after the separation of variables in the Schrödinger equation in oblate spheroidal coordinates. The specificity of these boundary value problems is that the singular points of the differential equation are outside the region in which the eigenfunctions are considered. This prevents the construction of eigenfunctions as a convergent series. To solve this problem, we generalize and apply the Jaffe transformation. We find the solution of the problem as trigonometric and power series in the particular case when the charge parameter is zero. Application of the obtained results to the spectral problem for the model of a quantum ring in the form of a potential well of a spheroidal shape is discussed with introducing a potential well of a finite depth.
Threshold-Free Attribute Profile for Classification of Hyperspectral Images

Selection of threshold values to generate nonredundant filtered images in attribute profiles (APs) is an unresolved issue. This paper presents a novel filtering approach to the construction of APs that does not require the definition of any threshold value. The proposed approach creates a max-tree (or min-tree), traverse to the first encountered leaf node using depth first traversal, and defines a leaf attribute function (LAF) to demonstrate the changes in attribute values from leaf to root node. The LAF is analyzed based on a novel criterion to automatically detect the node along the path that has a first significant difference in the attribute value. All its descendant nodes are merged to it and the process is repeated for each unvisited leaf node to create the final filtered tree which is transformed back as a filtered image. The proposed approach can incorporate maximum spatial information by applying a few filtering operations without the need to define any threshold value. This is of great importance in spectral–spatial classification applications. Moreover, since the proposed approach requires one depth first traversal to generate a filtered image, it is very efficient in terms of computation time. To show the effectiveness of the proposed method, three real hyperspectral data sets are considered and the results are compared to the state-of-the-art method considering five different attributes. The results show that the proposed method has several important advantages with respect to the existing threshold-based filtering techniques. Furthermore, the proposed method is also effective when compared with different spectral–spatial classification techniques.
Fe b 20 13 Universal quantum state merging

We determine the optimal entanglement rate of quantum state merging when assuming that the state is unknown except for its membership in a certain set of states. We find that merging is possible at the lowest rate allowed by the individual states. Additionally, we establish a lower bound for the classical cost of state merging under state uncertainty. To this end we give an elementary proof for the cost in case of a perfectly known state which makes no use of the “resource framework”. As applications of our main result, we determine the capacity for one-way entanglement distillation if the source is not perfectly known. Moreover, we give another achievability proof for the entanglement generation capacity over compound quantum channels.
The Pyramid-Model A framework for user requirements of any payment instrument

The Upid-Model is a framework to assist the design of apayment instrument like a banknote; Upid stands for Use-centered Payment Instrument Design, the topic of my thesis (De Heij, 2017). Presenting my work, people asked me how privacy and budget control fit into this Model. Good questions! My answer is that the Upid-Model covers the user ne ds of the product people hold in their hands, for example a banknote. The Model does not cover its larger con text, the usage environment of a payment instrument, like for example access to ATMs in the case of banknotes. However, the questions did not let me go and I searched for an answer, for the mis sing link. How could the Upid-Model be embedded in another, overarching model? An answer is found i n the presented Pyramid-Model, a framework for the user requirements of any payment system, cash o r digital.
Monetary and Fiscal Policy Interactions in Turkey : A Markov Switching Approach

Until recently, Turkey’s economy was characterized by high inflation, undisciplined public finance management and a fragile banking system and experienced multiple economic crises. After the economy was hit by another crisis in 2001, the central bank became independent, adopted Inflation Targeting as the monetary policy framework and implemented reforms to adopt a more stringent fiscal policy. Inflation rates decreased to single digit levels within three years after the independence of the central bank. This paper analyzes the end of the high inflation period in the context of monetary and fiscal policy interactions within a rational expectations model in which policy rules are allowed to switch between “active” and “passive” regimes. It is shown that after 2001 monetary policy experienced a switch to an “active” regime whereas fiscal policy experienced a switch to a “passive” regime the conditions necessary for monetary policy to stabilize prices by preventing deficit shocks from affecting inflation. JEL Classification: C59, E50, E58, E62, E63
BLUECOPTER TM DEMONSTRATOR : THE STATE-OFTHE-ART IN LOW NOISE DESIGN

The present paper intents to present the state-of-the-art in current rotorcraft noise reduction technologies using the example of the innovative BLUECOPTERTM demonstrator (Figure 1). All described noise reduction features, notably the active rudder and the Fenestron® noise measures such as the advanced rotor blades, the evolved stator design and the innovative Fenestron® lining concept, contribute to the challenging and ambitious objective of reducing the noise emission of the rotorcraft directly at the source in a wide range of operationally relevant flight states. The paper incorporates results from the latest BLUECOPTERTM acoustic flight test campaign in final configuration and demonstrates the exceptional low noise signature of the BLUECOPTERTM demonstrator in various flight conditions.