Miracle-dz/UniFAR-FTUs huggingface dataset:
Attention Deficits in Nonpsychotic Relatives of chizophrenic Patients : A Recurrence Risk Ratio Analysis

ackground: In nonpsychotic parents and siblings of schizophrenic patients, the recurrence risk ratios of sustained attention deficits, s measured by the continuous performance test (CPT), were examined with a series of cut-off points. ethods: Among 116 parents and 95 siblings of 91 schizophrenic probands in northern Taiwan, both undegraded and degraded essions of the CPT were administered. Subjects’ signal detection sensitivity of CPT performance (d ) was standardized against a ommunity sample without (unadjusted z score) or with (adjusted z score) adjustment for age, gender, and educational level. esults: Differences in the risk ratios between the parents and siblings that were based on the unadjusted z scores of CPT d diminished arkedly if the adjusted z scores were used. As the cut-off point in the adjusted z score decreased from 2.5 to 3.0, the risk ratio ncreased continually for both the undegraded (10.1–18.8 for parents, 10.0–16.7 for siblings) and degraded (12.4–102.7 for parents, .6–72.0 for siblings) test. onclusions: Stringent cut-off criteria of CPT deficits with adjustment for demographic features leads to recurrence risk ratios greater han those based on schizophrenia alone in both parents and siblings of schizophrenic patients.
Saponins Production in Shoot and Callus Cultures of Gypsophila Paniculata

Shoot tips of G. paniculata were cultured on MS-medium contained 0.5 mg/l each of NAA and BAP for establishment of shoot cultures. The same explants were cultured on MS-medium supplemented with 1.5 mg/l each of 2,4-D and kinetin to initiated callus cultures. Both cultures were grown on different culture media with different concentrations of growth regulators. Callus growth was high when grown on medium contained 1.5 mg/l 2,4-D. Saponins content was determined by HPLC analysis. The results indicated that the highest content of saponins in shoot cultures was observed when shoots grown on medium contained 5 mg/l IAA. However, saponins of callus tissue grown on medium contained 1.5 mg/l each of 2,4-D and kinetin showed the highest content of saponins. Key Word: Caryophyllaceae, Gypsophila paniculata, triterpenoidal saponins, gypsogenin 3,O-glucuronide, 2,4-D, kinetin.
Donaldson-Witten theory, surface operators and mock modular forms

We revisit the $u$-plane integral of the topologically twisted $\mathcal{N}=2$ super Yang-Mills theory, the Donaldson-Witten theory, on a closed four-manifold $X$ with embedded surfaces that support supersymmetric surface operators. This integral mathematically corresponds to the generating function of the ramified Donaldson invariants of $X$. By including a $\overline{\mathcal{Q}}$-exact deformation to the $u$-plane integral we are able to re-express its integrand in terms of a total derivative with respect to an indefinite theta function, a special kind of mock modular form. We show that for specific K\"ahler surfaces of Kodaira dimension $-\infty$ the integral localizes at the cusp at infinity of the Coulomb branch of the theory.
A COMPUTER VISION APPROACH FOR THE EYE ACCESSING CUE MODEL USED IN NEURO-LINGUISTIC PROGRAMMING

This paper investigates the Eye Accessing Cue (EAC) model used in NeuroLinguistic Programming (NLP) and shows how image processing techniques can be used to improve the interpretation of this model. An experiment was carried out to validate the model by inducing certain eye cues using a set of questions. A simple and efficient method is proposed for automatically locating the eyes and the correspondent EAC. The relative position between the iris and the sclera is determined using a fast mechanism, based on the analysis of integral projections inside the bounding box of the eye.
Training Pattern Push Operating & Recommend Twitter Server Kaleido Servers Kaleido Workflow with Mobility Support Smartphones

Exponential growth of media consumption in online social networks demands effective recommendation to improve the quality of experience especially for on-the-go mobile users. By means of large-scale trace-driven measurements over mobile Twitter traces from users, we reveal the significance of affective features in shaping users’ social media behaviors. Existing recommender systems however, rarely support such psychological effect in real-life. To capture such effect, in this paper we propose Kaleido, a real mobile system that achieves an online social media recommendation solution by taking affective context into account. Specifically, we design a machine learning mechanism to infer the affective pulse of online social media. Furthermore, a cluster-based latent bias model (LBM) is provided for jointly training the affective pulse as well as user’s behavior, location and social contexts. Our comprehensive trace-driven experiments on Android prototype expose a superior prediction accuracy of 87%, which has 25% accuracy superior to existing mobile recommender systems. Moreover, by enabling users to offload their machine learning procedures to the deployed edge-cloud testbed, our system achieves speed-up of a factor of 1,000 against the local data training execution on smartphones.
The Effect of Extracorporeal Shock Wave (ESW) on Cementoblasts In Vitro

THE EFFECT OF EXTRACORPOREAL SHOCK WAVE (ESW) ON CEMENTOBLASTS IN VITRO Joshua Barta, DDS Marquette University, 2012 Root resorption is an adverse consequence of orthodontic treatment, and currently no effective treatment method exists. Extracorporeal shock wave (ESW) has been applied to enhance angiogenesis, growth and healing of bone, but the effects of ESW on root resorption have not been studied. Cementoblasts are the cells responsible for forming and repairing cementum covering the dental root, and ESW may enhance this reparative process. The purpose of this study was to investigate the effects of ESW on cementoblasts to determine if ESW could potentially be used to treat root resorption. OCCM.30 cementoblasts were prepared in suspension at a density of 10 7 /ml and placed in Eppendorf tubes which were held in a specially designed apparatus to focus the shock waves at the cells. Using the focused shock wave stimulator (Storz Medical AG, Switzerland), the cells were subjected to a single dose of 2000 impulses of ESW at their assigned energy level (0.1mJ/mm 2 , 0.25mJ/mm 2 or 0.5mJ/mm 2 ). Controls were set under identical conditions without ESW application. Immediately after ESW stimulation, the amount of ATP release was measured since ATP is an early messenger in bone modeling regulation. Cell viability was tested to determine if any dose level caused cell death. After 24 hours of post stimulation incubation, the cells were lysed to test functional protein productions of sclerostin (SOST), a negative regulator of bone formation, receptor activator NFκB ligand (RANKL), a direct stimulator of bone resorption, and osteopontin (OPN), a regulator of osteoclastogenesis. After ESW application, ATP levels in the medium and high-dose groups were found to be significantly increased in a dose-dependent manner. High-dose ESW significantly decreased cell viability. SOST protein was significantly decreased only at the dose level of 0.25mJ/mm 2 (n=3, p<0.05). OPN was significantly increased at 0.1mJ/mm 2 and 0.5mJ/mm 2 (n=3, p<0.01), but not at the 0.25mJ/mm 2 energy level. RANKL was not significantly changed with any of the doses. Our data suggest that ESW at an energy level of 0.25mJ/mm 2 anabolically modulates bone remodeling by decreasing SOST production but not affecting RANKL and OPN production significantly. These findings suggest that ESW could potentially be used to treat root resorption in orthodontics.
Sampling Knowledge: The Hermeneutics of Snowball Sampling in Qualitative Research

During the past two decades we have witnessed a rather impressive growth of theoretical innovations and conceptual revisions of epistemological and methodological approaches within constructivist‐qualitative quarters of the social sciences. Methodological discussions have commonly addressed a variety of methods for collecting and analyzing empirical material, yet the critical grounds upon which these were reformulated have rarely been extended to embrace sampling concepts and procedures. The latter have been overlooked, qualifying only as a ‘technical’ research stage. This article attends to snowball sampling via constructivist and feminist hermeneutics, suggesting that when viewed critically, this popular sampling method can generate a unique type of social knowledge—knowledge which is emergent, political and interactional. The article reflects upon researches about backpacker tourists and marginalized men, where snowball sampling was successfully employed in investigating these groups' organic social networks and social dynamics. In both studies, interesting interrelations were found between sampling and interviewing facets, leading to a reconceptualization of the method of snowball sampling in terms of power relations, social networks and social capital.
Brand extensions: brand concept congruency and feedback effects revisited

Purpose – The aim of this research is to examine the effects of congruent and incongruent brand concept extensions on consumer attitudes towards the extended product and feedback effects on the parent brand. Moreover, brand familiarity is proposed as an important moderator variable in determining feedback effects on attitude to the parent brand.Design/methodology/approach – An experimental research design was applied for testing the set of hypotheses put forth. The product category of wrist‐watches was utilized as setting. A total of 205 respondents participated in the study.Findings – The study finds general support for the importance of brand concept congruency when it comes to feedback‐effects, whereas no significant differences between congruent and incongruent extensions are found for attitudes to the extension itself. Brand familiarity is found to be an important moderator on parent brand feedback effects.Research limitations/implications – Before concluding on the moderating role of brand familiari.
Heterogeneous Information Networks for Text-Based Link Mining : A Position Paper on Visualization and Structure Learning Methods

In this position paper, we discuss the representation of user and community domains in blogs, forums, and social media as heterogeneous information networks, and describe a broad framework for analyzing interrelationships within such networks. This approach builds upon two main methodologies: one that is focused on community detection and graph analysis; and another that infers topic models in relation to communities and group-level topic mixtures. We first discuss previous work on link existence prediction in social networks, particularly user-touser links (e.g., friend recommendation) and userto-community links (e.g., community detection and recommendation), and point out some critical limitations of using this approach to detect communities. Next, we present a very general and flexible probabilistic model for topic modeling across heterogeneous information networks, and survey techniques for learning this We then discuss why this approach has become necessary given changes in the privacy policies of social networks and other information service providers. Finally, we discuss the task of synthesize structure learning and topic modeling, and relate this to extant approaches, applications, and future work.
4 Bioprocess Development for the Expansion of Embryonic Stem Cells

Megan M. Hunt1,3, Roz Alfred1,3, Derrick E. Rancourt2, Ian D. Gates3 and Michael S. Kallos1,3 1Pharmaceutical Production Research Facility (PPRF), Schulich School of Engineering, University of Calgary, Alberta 2Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Calgary, Alberta 3Department of Chemical and Petroleum Engineering, Schulich School of Engineering, University of Calgary, Alberta, Canada
Tokenizing Commercial Property With Smart Contracts

Trading commercial property currently involves several middlemen who are extra time-consuming and cost-consuming elements in a transaction. With recent blockchain-based smart contract innovations, it is possible to use distributed applications (Dapps) for disintermediating third parties and enabling direct peer-to-peer (P2P) transactions. The blockchain serves as an immutable, event-recording ledger that facilitates trust-less P2P transactions. The Evareium system is a distributed application for enabling blockchain-based commercial-property trades that make middlemen superfluous and consequently, investors benefit from cost reductions, faster transaction times, greater transparency and reduced regulatory burdens. As a consequence of the Evareium system, investors and other stakeholders are able to avail a direct interface with the creation and dissemination of optimal financial gains from such investments without interdiction. The corresponding Evareium token is structured for governing platform-related incentives. Besides actual commercial-property trades, that also comprises disruptive customer services such as onlinetravel agencies, smart leasing, and P2P homestay market-place functions. Furthermore, the Evareium token is also intended for Internet-of-Things (IoT) based hotel-management services such as controlling hotel-room blindfolds, A/C, smart keys, checkin, spa, restaurant, room service, and so on. We demonstrate the utility of the Evareium platform with a running case that assumes Dubai as the commercial-property focus. The paper also discusses rapid deployment options in that pre-existing blockchainsolutions are considered to cover respective parts for implementing the Evareium architecture.
A New Oversampling-Based Approach for Class Imbalance Problem

In this paper, a new oversampling method is proposed to improve the representativeness of minority groups in the training data set. Our methodology creates artificial (synthetic) examples on basis the spatial distribution of the classes. The original data are expanded (duplicated) along the lines connecting the class centroid and each minority pattern under consideration. In contrast to other methods known in literature (as SMOTE), our geometric approach for data generation has the advantage of being accomplished in a straightforward way, i.e., without the need of the definition of parameters by the user. Experiments conducted with real and synthetic data point out that the our solution to the class imbalance problem is able to improve the number of correct minority classifications and the balance between the class accuracies.
Secure and Energy-effictive CoAP Application Layer Protocol for the Internet of Things

Nowadays, the concept of the Internet of Things (IoT) has become more noticeable and realistic where it is being used in all aspects of life, such as smart cities, agriculture, military surveillance, home automation, security, healthcare, etc. The idea behind IoT is making everyday objects, especially those with constrained resources, to communicate effectively with each other and with the internet; making it possible for anyone to communicate with both digital and physical worlds at any time. To enable the communication of constrained devices the Internet Engineering Task Force (IETF) came up with a Constrained Application Protocol (CoAP) to be used in the IoT application layer as a replacement for the HTTP protocol. However, the heterogeneity of the constrained devices and the complexity of the internet bring up the need for a security system to secure all the communications, data and participating things. In this paper, we proposed a lightweight secure CoAP using Elliptic Curve Cryptography (ECC) to transport security between IoT objects and the resource directory (RD). The advantage of using ECC is its compact key size enabling it to utilize a smaller key size compared to the other identical methods such as RSA. This, in turn, increases the computational speed and at the same time saves more energy. This paper mainly concentrates on comparing CoAP using the ECC method to CoAP using the Rivest–Shamir– Adleman (RSA) Cryptography algorithm in terms of the energy consumption. Keywords— Internet of Things;CoAP; ECC; Energy saving, security, IoT.
A cytogenetic study of the periwinkle Littorina keenae Rosewater, 1978 (Gastropoda: Littorinidae)

vidual size. The squid Loligo opalescens Berry, however, is able to compensate for the slowing effect of colder temperatures on neuronal and muscular aspects of submerged escape jetting so that its maximum water jet velocity and distance travelled are actually greater at colder temperatures. If Ommastrephes bartramii is similarly capable of temperature compensation, the suggestion by Murata that flight ability in this species is limited by size and not temperature is likely to be correct. While there is some question as to the exact nature of airborne jet propulsion in squids, we believe use of the term ‘flight’ is not wholly inappropriate. Morphological traits such as broad fins and arm membranes, as well as airborne behaviours including jetting and changes in arm posture suggest that flight has evolved in squid, most likely as an anti-predator behaviour. Such traits also suggest that flight represents a more active and intentional escape behaviour than simply gliding after an incidental exit from the water during escape jetting. Whether considered flight or gliding, however, this behaviour appears to be more widespread than previously thought.
Guidance on Dermal Absorption 1 European Food Safety Authority

7 This guidance on the assessment of dermal absorption has been developed to assist notifiers, users of 8 test facilities and Member State authorities on critical aspects related to the setting of dermal 9 absorption values to be used in risk assessments of chemical Plant Protection Products (PPPs). It is 10 based on the opinion issued in 2011 by the EFSA Panel on Plant Protection Products and their 11 Residues (PPR) on the science behind the revision of the guidance document on dermal absorption to 12 which the guidance refers in many instances. Basic details of experimental design, available in the 13 respective test guidelines and accompanying guidance for the conduct of studies, have not been 14 addressed but recommendations specific to performing and interpreting dermal absorption studies 15 with PPPs are given. Issues discussed include a brief description of the skin and its properties 16 affecting dermal absorption. To facilitate use of the guidance, flow charts are included. Guidance is 17 also provided, for example, when there are no data on dermal absorption for the product under 18 evaluation. Elements for a tiered approach are presented including use of default values, data on 19 closely related products, in vitro studies with human skin (regarded to provide the best estimate), 20 data from experimental animals (rats) in vitro and in vivo and the so called ‘triple pack’ approach. 21 Various elements of study design and reporting that reduce experimental variation and aid consistent 22 interpretation are presented. A proposal for reporting data for Draft Assessment Reports and 23 Registration Reports is also provided. The issue of nanoparticles in PPPs is not addressed. Data from 24 volunteer studies have not been discussed since their use is not allowed in EU for risk assessment of 25 PPPs. This guidance, originally issued in 2012, has been revised in 2016 on the basis of new available 26 data on human in vitro dermal absorption for PPPs and wherever further clarifications were needed. 27 28 © 2016 European Food Safety Authority. 29 30
Invasive Fungal Infection by Hormographyella aspergillata : A TrickyDiagnosis Triggered by (1,3)-Beta-D-Glucan Assay

We report on a pulmonary infection caused by the basidiomycete Hormographiella aspergillata. For the first time, (1,3)-beta-D-Glucan serum levels were monitored and they progressively increased during the development of clinical symptoms of infection. This assay and subsequent molecular analysis resulted essential for accurate identification and indication of proper antifungal therapy.
On the physics of radio haloes in galaxy clusters: scaling relations and luminosity functions

The underlying physics of giant and mini radio haloes in galaxy clusters is still an open question. We find that mini haloes (such as in Perseus and Ophiuchus) can be explained by radio-emitting electrons that are generated in hadronic cosmic ray (CR) interactions with protons of the intracluster medium. By contrast, the hadronic model either fails to explain the extended emission of giant radio haloes (as in Coma at low frequencies) or would require a flat CR profile, which can be realized through outward streaming and diffusion of CRs (in Coma and A2163 at 1.4 GHz). We suggest that a second leptonic component could be responsible for the missing flux in the outer parts of giant haloes within a new hybrid scenario and we describe its possible observational consequences. To study the hadronic emission component of the radio-halo population statistically, we use a cosmological mock galaxy cluster catalogue built from the MultiDark simulation. Because of the properties of CR streaming and the different scalings of the X-ray luminosity (LX) and the Sunyaev-Zel'dovich flux (Y) with gas density, our model can simultaneously reproduce the observed bimodality of radio-loud and radio-quiet clusters at the same LX as well as the unimodal distribution of radio-halo luminosity versus Y; thereby suggesting a physical solution to this apparent contradiction. We predict radio-halo emission down to the mass scale of galaxy groups, which highlights the unique prospects for low-frequency radio surveys (such as the Low Frequency Array Tier 1 survey) to increase the number of detected radio haloes by at least an order of magnitude.
21 A Practical Guide to 3 D Electromagnetic Software Tools

This chapter considers the numerical analysis of planar antennas. First the fundamental theoretical techniques widely used in the general area of computational electromagnetics are discussed. The focus is on the specific case of planar antennas. Second, several simulation tools implementing these techniques are overviewed. Both commercial and non-commercial tools are considered. Examples found in literature are given. Third, three planar antennas are benchmarked, using a variety of tools, in order to show the reader the quality and matureness of the existing tools, and to prove that the analysis of planar antennas is by no means always straightforward. Remaining challenges that still need to be faced and “missing links” are identified, and suggestions are given for the future. In the strictest sense a planar antenna means an antenna flat compared to the wavelength. Although the height of the antennas considered is different from traditional antennas, in most cases no special modeling techniques or software tools are used for planar antennas. Almost all planar antennas reported in literature have been designed / analyzed with the well-known techniques and (commercial) software packages. This means that in this chapter the major numerical techniques and software tools used can be overviewed in a general sense, referring to standard literature. These techniques will not be derived or explained here in detail. In stead, this chapter focuses on those aspects that come into the picture when the antenna is planar. After the section on techniques and tools, this chapter will focus on the performance of these techniques and tools for planar antennas. This is done through an overview of benchmarks available in literature.
23 2 v 2 4 N ov 2 00 5 Casimir effect in a wormhole spacetime

We consider the Casimir eﬀect for quantized massive scalar ﬁeld with non-conformal coupling ξ in a spacetime of wormhole whose throat is rounded by a spherical shell. In the framework of zeta-regularization approach we calculate a zero point energy of scalar ﬁeld. We found that depending on values of coupling ξ , a mass of ﬁeld m , and/or the throat’s radius a the Casimir force may be both attractive and repulsive, and even equals to zero.