Miracle-dz/UniFAR-FTUs huggingface dataset:
Title Functional properties , topological organization and sexual dimorphism of claustrum neurons projecting to anterior cingulate cortex

Objective: To define the physiological properties of neurons projecting from the claustrum to the anterior cingulate cortex (ACC). Design: To identify the claustrum in live slices, we used a transgenic mouse line that expresses yellow fluorescent protein (YFP)-tagged Volvox channelrhodopsin-1 at high levels within the claustrum. Claustrum cells projecting to the ACC were identified by retrograde labelling. Whole-cell patch-clamp recordings from labelled claustrum neurons were used to characterize the intrinsic electrical properties of these neurons. Cells were classified according to their intrinsic electrical properties, based on a previous classification scheme. Results: Labelled neurons were found in the claustrum but not the insular cortex. Four types of ACC-projecting neurons were identified based on action potential adaptation and waveform: strongly adapting (SA) cell types 2, 3 and 4, and moderately adapting (MA) cell type 2. Labelled cells were predominantly SA4 in the anterior (44%) and posterior (63%) claustrum, while MA2 predominated (77%) in the central claustrum. The male anterior claustrum showed a bias toward SA3 cells (53%) while the female anterior claustrum showed a bias toward SA3 cells (76%). Conclusions: There is ipsilateral dominance for ACC-projecting claustrum neurons, with the intrinsic properties of these neurons varying along the anterior–posterior axis. Sexual dimorphism was observed in ACC-projecting claustrum cells. Our results are consistent with the hypothesis that the claustrum serves as a link between the insular cortex and the ACC. ARTICLE HISTORY Received 28 December 2016 Accepted 13 July 2017
DOES FINANCE CREATE RISK ?

Rajan has earned a well-deserved reputation for having been one of the few to have hypothesized in a famous paper presented at the 2005 Jackson Hole conference that a disastrous financial crisis could have occurred. The key thesis put forward by Rajan was that the radical changes that had taken place over the previous decades rendered the economic system more fragile in that they induced the financial system to create a high amount of risk. The aim of this paper is to show: i) that Rajan’s thesis is not coherent with the mainstream theory according to which finance does not create risk; ii) that a meaningful theory capable of explaining the meaning of the elements used by Rajan to assert that finance creates risk can be elaborated on the basis of the lesson of Keynes and Schumpeter.
Speaker Recognition System using Wavelet Transform under Stress Condition

in this paper, we introduced a text-depend speaker recognition by using wavelet transform under stressed conditions. Here we compare different feature such as ARC, LAR, LPCC, MFCC, CEP and after comparison we found that LPCC provides best feature. For decompose signal at two levels Discrete Wavelet Transform is used here. Discrete Wavelet Transform (DWT) based Linear Predictive Cepstral Coefficients (LPCC) used as a feature for recognized the speaker system. For classification Vector Quantization method is used. Four different stressed data has selected for (SUSAS) i.e. stress speech data base for speaker recognition. Improvement is achieved 93% and 94% in case of Lombard and Neutral case.
Synergistic Effects of Multiple Environmental Factors on Degradation of Hydrogenated Nitrile Rubber Seals

Degradation tests of hydrogenated nitrile rubber seals, often used as sealing components in hydraulic systems, were conducted under the free and compression state in air and hydraulic oil at three elevated temperatures for several days to investigate the synergistic effects among three factors. The crosslinking and chain scission reactions both occurred simultaneously at higher temperature during the degradation process, and crosslinking predominated for most cases. Additionally, the synergistic effect between compression stress and hydraulic oil further slowed the degradation rate by limiting oxygen access. However, the higher temperature and hydraulic oil both promoted the formation of oxidation products, whereas the compression stress restrained the formation of amide groups. The fracture morphology results show that the defects gradually formed on the fracture surface, especially for the uncompressed specimens. The increase of the compression set aged in air was more than that in hydraulic oil, implying the more serious degradation. Moreover, rubber seals under the synthetic effect of three environmental factors presented the minimum degradation level. The degradation of the compressed and uncompressed specimens exposed to hydraulic oil is more serious than that of specimens exposed to air.
What makes cleaning a costly operation in remanufacturing

Product remanufacturing is a widely accepted product reuse strategy in most industries due to its unique advantage of retaining a greater portion of added value in the initial manufacturing stage. Remanufacturing involves a sequence of operations including disassembly, cleaning, inspection, parts replacement, reassembly and testing. Previous research has shown that the cost of cleaning is only second to the cost of parts replacement. The objective of this study is to illustrate the significance of the cleaning operation in automotive remanufacturing and to identify the factors influencing the cost of the cleaning process. Case studies on four UK remanufacturers, three automotive and one copier, were carried out. Seven key factors causing high cleaning costs were identified and categorised under two dimensions. These are the technical nature of the products and processes of cleaning and the business nature of the remanufacturer.
Women’s Feeling of Social Security and Social Happiness

Social Happiness is one of the humanity’s most necessary innate needs and which plays a crucial role in the sublimity of individuals and society. Reaching this would occur once individual has either physical or mental health. One of the effective factors in increasing the amount of individuals’ social Happiness especially in women is providing them with mental dimension of security e.g. felling of social security which in this case individual experiences a kind of relaxation and inner satisfaction and the amount of their vitality and happiness will increase. Therefore, regarding the importance of these two components in women’s social lives, the present study analyses the effect of social security in their social happiness and tries to investigate the opinions of 232 women in Joshagh, Delijan through certain questioners. In this project, social happiness consists of three dimensions including mental, social and psychosocial and researchers have investigated women’s social security from physical, financial, behavioral, and emotional dimensions. Data has been gathered through structural functions evaluated by software Lisrel. Findings proved that social security has positive effect on mental, social and psychosocial Happiness of women. On the other hand, triple dimensions of social happiness has also positive and significant effects on each other. In addition, mediating role of social security has left positive and significant effects on rural women.
Biological Control of Anthracnose (Colletotrichum gloeosporioides) in Pepper and Cherry Tomato by Streptomyces sp. A1022

This study sought to develop a biological control agent against plant diseases of various crops and vegetables using Streptomyces sp. A1022. We found that the culture broth had an inhibitory effect against several fungal pathogens, including Colletotrichum gloeosporioides , Phytophthora capsici , Pyricularia grisea , and Cercospora canescens . The antifungal activity of the culture broth was stable (> 93%) across a broad range of temperatures (25-90 o C) and pH (pH 2-9), suggesting that the solid concentrate (SC) of strain A1022 might be effective against a broad range of fungal pathogens. We examined the inhibitory efficacy of this strain against anthracnose by Colletotrichum gloeosporioides in infections of pepper and cherry tomato. We found the degree of anthracnose injury to pepper to be in the following order: untreated control? eugenol (sopra extract) > tebuconazol (a chemical fungicide) > azoxystrobin (a chemical fungicide)? strain A1022 SC. Strain A1022 SC also had an inhibitory effect against anthracnose on cherry tomato. In a field test, azoxystrobin (10,000 ppm active ingredient; 1,000-fold dilution) and strain A1022 SC (2×10 4 colony forming unit mL -1 ; 500-fold dilution) had inhibitory effects of 68.0 and 61.6% against pepper anthracnose, respectively. Our results suggest that strain A1022 SC can be an alternative to chemical fungicides, at least for pepper and cherry tomato anthracnose infections caused by C. gloeosporioides .
BODY IMAGE 1 The Relationship between Facebook and Body Image

The purpose of this study is to analyze the frequency of specific activities on Facebook that have a correlation with low body image. Social media websites (SMW) such as Facebook influence mental health which has been reinforced by research. Correlations have been found between Facebook use and various psychological factors such as self-esteem. Body image has become of great concern in general, especially for those who use social networking sites. Previous studies have found conflicting results when observing gender differences. Prior research has found that males and females are shown to have poor body image depending on how often either gender engages in certain activities on Facebook. Therefore, it is predicted that males and females will have low body image due to high activity usage on Facebook. Sixty undergraduate students from Laurentian University were used as the sample. Participants were asked to complete a demographic questionnaire which included gender and age, a Multidimensional Body-Self Relations Questionnaire which gave an accurate score on body image, and a Self-Report Questionnaire which measured the frequency of Facebook usage. Results of this study may contribute to helping clinicians who work with college students that may be suffering from depression, anxiety, and/or low self-esteem related to poor body image.
Identification of Energized Devices in an Electrical Distribution Network using Topological Analysis with the Breath First Search Method

In this paper, an algorithm is proposed and also applied to make a topological analysis in an electrical distribution network. The topological method applied is Breath First Search. The purpose is to know the operating state of the elements in the network which are either energized o de-energized due to opening or closing of switches. The result of this kind of studies can be applied in graphic interfaces to either make other studies or monitoring. The paper presented here is based on digraph representation, that is, devices that are interconnected and have a unidirectional path; this assumption is based in the fact that each device has a sending bus and a receiving bus. As the electrical devices might not be connected in a sequential form, the use of the classic topological BSF algorithm could deliver some errors. These errors consist in no considering buses in the analysis; therefore, it could identify electrical buses that are not energized when they really are. The algorithm proposed takes this into account and one solution is shown. It is presented two study cases which employ the IEEE 37 bus system test case modified to show the response of the algorithm proposed.
Analysis of seismological and geological observations formoderate‐size earthquakes: the Colfiorito Fault System(Central Apennines, Italy)

To contribute to the understanding of the relationships between moderate earthquakes and the faults that are recognisable in the geological record, we analysed seismological and geological data related to the 1997-98 Umbria-Marche (Central Italy) earthquake swarm. The seismological recordings, collected by local networks, allowed accurate location of about 1000 events, whereas the geological field-observations provided a picture of the structural features and the ground-surface deformations. We also re-examined and utilised some already published data and results, mostly about the fault plane solutions and the geology. On the basis of earthquake locations, fault plane solutions, and geological mapping we explored the possible correlation between the earthquake causative fault-planes and the normal faults exposed in the area. Our results show that the two mainshocks that occurred on September 26, 1997 (MW=5.7 and MW=6.0) originated on the same structure reactivating at depth the Colfiorito normal faults. Both ruptures did not propagate up to the ground surface but triggered gravitational sliding that occurred along pre-existing fault scarps. The earthquake that occurred on October 14, 1997 (MW=5.6) originated on another fault-branch at a much shallower depth. In spite of the lower magnitude, this earthquake produced tectonic ruptures where the fault plane projects to the surface in an area where no faults were previously mapped. By comparing the paleostress reconstruction, based on slickenside lineations analysis, and the focal mechanism solutions, we also suggest a possible correlation between the long-term (Early-Middle Pleistocene) cumulative effects of the Colfiorito Fault System and the short-term behaviour of the fault planes observed during this earthquake swarm, favouring the idea of a seismogenic source producing clustered moderate-size earthquakes rather than large events scattered in time. Our results suggest that the integration of geological and seismological observations can constrain the seismotectonic interpretations in regions of low level seismicity and that this integration can pose a reliable basis in the seismic hazard assessment.
Journal of Human Behavior in the Social Environment

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School-based management in Oman: Principals views and understanding

School based management (SBM) has been introduced recently in public schools of Oman. The aim of this policy is to decentralize the authorities from center to the local schools. In line with this aim, this study had the attempt to investigate the views of principals regarding SBM as a management tool. This paper used the qualitative approach, using multiple- case study in which data were collected through interviews, observation and documents analysis. The participants in this study were principals, assistant principals, senior teachers, and teachers. Data revealed that participants expressed divergent views concerning the SBM system in Oman. They considered the SBM system is a complex and multifaceted concept comprising many elements and these elements can be interpreted differently, have different emphasis and serve different purposes.
Social media data analysis in sentiment level by using support vector machine

A social media is an intermediary for communication among people. Twitter is one of the most popular social networking services. All types of users can share their thoughts and opinions on various aspects of day to day activities. So social media websites are regarded as rich sources of data for opinion mining. Such data can be well used for sentiment analysis. Sentiment analysis or opinion mining is the computational study of the opinions, attitudes and emotions of the entity. The entity may describe an individual, event or topic. Support Vector Machine (SVM) is able to identify the separated hyperplane which maximize margin the different classes. The system is intended to measure the impact of ASEAN citizens’ social media based on their usage behavior. The system is developed for analyzing National Educational Rate and Crime Rate occurred in Malaysia, Singapore, our country, Myanmar. The system is also aimed to perform social media sentiment analysis by applying machine learning approach of Artificial Intelligence (AI).
Bending Stiffness of Knitted Fabrics - Comparison of Test Methods

The bending stiffness of a textile is a feature determining comprehensive indicators such as fabric drapability and handle. Most methods of assessing the bending stiffness of textiles are based on the principle of the determination of the strain and force dependence. The simplest are methods involving the unidirectional straining force, which do not consider the anisotropy of the fabric’s physical properties. However, methods that allow the determination of multi-directional stiffness provide a more complete assessment. The aim of this work was to comparatively evaluate three testing methods that utilise different measurement principles. The experimental design included a unidirectional force action (PN-73/ P0431), multidirectional force action (ASTM-D 4032-94), and bending stiffness testing by the direct determination of Young’s modulus by the method used at Kiev University. The methods analysed were assessed by statistical tests. Knitted fabrics with a net stitch were used as the test materials.
The Art of Hitting .300

Charlie Lau studied the art of hitting for his entire professional career. As a journeyman catcher for Detroit and later for Baltimore he had a unique vantage point for observing just what it is that makes some batters successful while His elbow is of hitting about, many sub hitting. Book has the author or by their respective licensors how. Emily glossbrenner has been asked before about many bugs he not work than books. And raised my dad and high school ball.
A Stable-Matching-Based User Linking Method with User Preference Order

With the development of social networks, more and more users choose to use multiple accounts from different networks to meet their needs. Linking a particular user’s multiple accounts not only can improve user’s experience of the net-services such as recommender system, but also plays a significant role in network security. However, multiple accounts of the same user are often not directly linked to each other, and further, the privacy policy provided by the service provider makes it harder to find accounts for a particular user. In this paper, we propose a stable-matching-based method with user preference order for the problem of low accuracy of user linking in cross-media sparse data. Different from the traditional way which just calculates the similarity of accounts, we take full account of the mutual influence among multiple accounts by regarding different networks as bilateral (multilateral) market and user linking as a stable matching problem in such amarket. Based on the combination of Game-Theoretic Machine Learning andPairwise, a novel user linkingmethod has been proposed.The experiment shows that ourmethod has a 21.6% improvement in accuracy compared with the traditional linking method and a further increase of about 7.8% after adding the prior knowledge.
Do Euro Area Countries Respond Asymmetrically to the Common Monetary Policy?

We investigate the possible existence of asymmetries among Euro Area countries reactions to the European Central Bank monetary policy. Our analysis is based on a Structural Dynamic Factor model estimated on a large panel of Euro Area quarterly variables. Although the introduction of the euro has changed the monetary transmission mechanism in the individual countries towards a more homogeneous response, we find that differences still remain between North and South Europe in terms of prices and unemployment. These results are the consequence of country-specific structures, rather than of European Central Bank policies.
Diseases of exotic plantation forestry trees in Ethiopia

50 Introduction . 51 Materials and Methods . 53 Survey areas and sample collection . 53 Isolation techn(ques . 53 Results . 54 Root diseases . 54 Stem cankers . 55 Leafdisease . 56 Other fungi . 57 Discussion . 57 References . '" . 60 Chapter Three: Identification · of the Armillaria Root Rot Pathogen in Ethiopian Plantations . 70 Abstract . 7
Estimación de Sincrofasores en Redes Eléctricas Inteligentes: de Modelos a Restricciones de Diseño

We first present a detailed review of two popular classes of model based synchrophasor estimators. They are the discrete Fourier transform (DFT) and the Taylor-Fourier transform (TFT) class estimators, which arise from constant or polynomial phasor models, respectively. Limitations of these techniques, arising from the models themselves, are exposed. These limitations make the original DFT and TFT approaches unfitted for situations where the phasor can not be properly described in such simple terms. This issue can be addressed with the recently introduced convex semi-infinite programming (CSIP) based estimators, which are also reviewed. In particular, we present the constraints associated with the tests which are most critical for the model based methods, showing how to precisely control the estimators performance in those cases. Finally, we show that the DFT and TFT estimators are particular instances of the CSIP estimator, so that there exists a connection between these two apparently different approaches. This opens the door for future analyses and developments.
Interaction with Interconnected Data in Participatory Processes

This paper proposes a conceptual graphical user interface for the interaction with interconnected data in participatory processes that play an important role for future smart cities. The presented idea is based on identifying important tasks for data exploration and data editing. The data to consider is structured, semi-structured or unstructured and of different facets. For example, participatory processes like planning and decision processes involve text, time and spatial data. In other words, the handling of the data is a complex endeavor in terms of representation and interaction. In this respect, we utilize and describe a graph-based data model that properly reflects the connected data.
Minimizing the Strong Screening Effect of Polyhedral Oligomeric Silsesquioxane Nanoparticles in Hydrogen-Bonded Random Copolymers

A series of poly(vinylphenol-co-methacryisobutyl polyhedral oligomeric silsesquioxane) (PVPh-co-PMAPOSS) random copolymers have been synthesized through free radical copolymerizations of acetoxystyrene with methacryisobutyl POSS monomer and subsequent hydrazine monohydrate-mediated hydrolysis of the acetoxyl units. These random copolymers were characterized using nuclear magnetic resonance spectroscopy (NMR), Fourier transform infrared spectroscopy (FTIR), gel permeation chromatography (GPC), and differential scanning calorimetry (DSC), which revealed that the POSS content in the random copolymers could be varied by changing the POSS monomer feed ratio by 1H NMR analyses. This molecular design approach allowed us to investigate the thermal properties and hydrogen bonding interactions of these PVPh-co-PMAPOSS random copolymers in comparison with those of PVPh/PMAPOSS blend systems. Hydrogen bonding interactions were absent in the PVPh/PMAPOSS blend system, because of a strong screening effect; in contrast, the PVPh-co-PMAPOSS random copolymers experienced enhanced intramolecular hydrogen bonding that minimized the strong screening effect of the POSS nanoparticles.