Miracle-dz/UniFAR-FTUs huggingface dataset:
RDGBα, a PtdIns-PtdOH transfer protein, regulates G-protein-coupled PtdIns(4,5)P2 signalling during Drosophila phototransduction

ABSTRACT Many membrane receptors activate phospholipase C (PLC) during signalling, triggering changes in the levels of several plasma membrane lipids including phosphatidylinositol (PtdIns), phosphatidic acid (PtdOH) and phosphatidylinositol 4,5-bisphosphate [PtdIns(4,5)P2]. It is widely believed that exchange of lipids between the plasma membrane and endoplasmic reticulum (ER) is required to restore lipid homeostasis during PLC signalling, yet the mechanism remains unresolved. RDGBα (hereafter RDGB) is a multi-domain protein with a PtdIns transfer protein (PITP) domain (RDGB-PITPd). We find that, in vitro, the RDGB-PITPd binds and transfers both PtdOH and PtdIns. In Drosophila photoreceptors, which experience high rates of PLC activity, RDGB function is essential for phototransduction. We show that binding of PtdIns to RDGB-PITPd is essential for normal phototransduction; however, this property is insufficient to explain the in vivo function because another Drosophila PITP (encoded by vib) that also binds PtdIns cannot rescue the phenotypes of RDGB deletion. In RDGB mutants, PtdIns(4,5)P2 resynthesis at the plasma membrane following PLC activation is delayed and PtdOH levels elevate. Thus RDGB couples the turnover of both PtdIns and PtdOH, key lipid intermediates during G-protein-coupled PtdIns(4,5)P2 turnover. Summary: RDGB regulates PtdIns and PtdIns(4,5)P2 homeostasis during G-protein-activated phospholipase C signalling in Drosophila.
Cutaneous Spindle-Cell B-Cell Lymphoma: A Morphologic Variant of Cutaneous Large B-Cell Lymphoma

The morphologic spectrum of large B-cell lymphoma is broad. Several unusual variants have been described such as lymphoma with myxoid stroma, sclerosing B-cell lymphoma, signet ring–cell lymphoma, and multilobated B-cell lymphoma among others. We report on five cases of cutaneous large B-cell lymphoma in which the neoplastic cells were spindle-shaped. In two cases, the clinical features fulfilled those of a primary cutaneous lymphoma; in the three other cases, the lymphoma most likely arose primarily in the skin, but incomplete clinical workups precluded definite categorization. The patients ranged in age from 30 to 89 years and presented with solitary lesions on the trunk or head. Histopathologic examination revealed nodular or dense diffuse infiltrates involving the entire dermis as well as the subcutaneous fat in some cases. Thickened collagen bundles between the spindled cells were present in one case. Cytomorphologic analysis showed the presence of round or oval medium-sized and large-sized lymphocytes with features of centrocytes and centroblasts in some foci, with others dominated by cells with spindle-shaped, elongated, twisted nuclei with dispersed chromatin and scant cytoplasm. Immunohistologic analysis revealed that both round or oval and spindled cells were positive for CD20 in all cases; in all cases tested, these cells were also positive for MIB-1 and were negative for CD3, CD5, CD43, CD45RO, CD21, CD30, CD68, S-100, HMB-45, actin, smooth-muscle actin, and cytokeratin. Bcl-2 was expressed in one of three cases tested. Analysis of the rearrangement of the JH gene by polymerase chain reaction performed in one case showed a monoclonal pattern. Spindle-cell large B-cell lymphoma represents a distinctive rare subtype of the cutaneous large B-cell lymphoma and can arise primarily in the skin in some cases. Recognition of this variant is necessary to avoid misdiagnosis of other cutaneous malignant spindle-cell tumors.
A-ECMS: An Adaptive Algorithm for Hybrid Electric Vehicle Energy Management

Hybrid Electric Vehicles (HEV) improvements in fuel economy and emissions strongly depend on the energy management strategy. In this paper a new control strategy called Adaptive Equivalent Consumption Minimization Strategy (A-ECMS) is presented. This real-time energy management for HEV is obtained adding to the ECMS framework an on-the-fly algorithm for the estimation of the equivalence factor according to the driving conditions. The main idea is to periodically refresh the control parameter according to the current road load, so that the battery State of Charge (SOC) is maintained within the boundaries and the fuel consumption is minimized. The results obtained with A-ECMS show that the fuel economy that can be achieved is only slightly sub-optimal and the operations are charge-sustaining.
Identifying related users in Weibo platform

Sina Weibo is the most popular social network in China. Most of the studies on Weibo are focus on the author identification or user identification. Finding the related user ID of a given user ID from every aspect of Weibo user ID is rarely studied. This paper proposes a Weibo Related User Identification (WRUI) approach which can give top ten similar Weibo user IDs of a given Weibo user ID. It is the application of entity resolution and data mining is used in WRUI. WRUI may be used in preventing rumor spreading and public opinion monitoring.
A Study of Students’ and Teachers’ Preferences and Attitudes towards Correction of Classroom Written Errors in Iranian EFL Context

Written error correction may be the most widely used method for responding to student writing. Although there are various studies investigating error correction, there are little researches considering teachers’ and students’ preferences towards written error correction. The present study investigates students’ and teachers’ preferences and attitudes towards correction of classroom written errors in Iranian EFL context by using questionnaire. In this study, 80 students and 12 teachers were asked to answer the questionnaire. Then data were collected and analyzed by descriptive method. The findings from teachers and students show positive attitudes towards written error correction. Although the results of this study demonstrate teachers and students have some common preferences related to written error correction, there are some important discrepancies. For example; students prefer all error be corrected, but teachers prefer selecting some. However, students prefer teachers’ correction rather than peer or self-correction. This study considers a number of difficulties regarding students and teachers in written error correction processes with some suggestions. This study shows many teachers might believe written error correction takes a lot of time and effort to give comments. This study indicates many students does not have any problems in rewriting their paper after getting feedback. It might be one main positive point to improve their writing and it might give them self-confidence.
PRACTICE MANAGEMENT : THE ROAD AHEAD Digital Cohorts Within the Social Mediome : An Approach to Circumvent Conventional Research Challenges ?

Abbreviations used in this paper: AHRN, Autoimmune Hepatitis Research We are becoming comfortable with the concept of a sharing economy, where resources are shared among many individuals using online forums. Whether activities involve sharing rides (Uber, Lyft, and others), accommodations (Airbnb), or information (social media), underlying attributes include reduced transactional costs, enhanced information transparency, dynamic feedback, and socialization of opportunity. As health care systems realize that they are changing from direct-to-business to a direct-to-customer model, their ability to connect directly with individuals will become a foundational strategy. This month’s Road Ahead column introduces us to social media as a research tool. Information derived from social media sites can be harvested for critical clinical information (the Centers for Disease and Control tracks the spread of influenza using social media analytic tools), research data (patient preferences), and as a recruitment method for clinical studies. Kulanthaivel and colleagues have described their experiences and literature review to help us imagine new ways to collect data at markedly reduced transaction costs (compared to a formal clinical trial). While there are many cautions about the use of social media in your practice or research, we are only beginning to understand its potential.
The Characteristics of Play Therapy Sessions with Children: A Preliminary Investigation

This research study investigated various characteristics of children in play therapy and their play behaviors during sessions. Specifically, this research investigated how gender, age, ethnicity, household and presenting problem of children impacted the play therapy process. Thirty-two cases of children who received ten or more sessions of play therapy at the Child and Family Resource Clinic, University of North Texas, Denton, Texas between the years of 1998-2002 and met specified criteria were coded and entered into a computer spreadsheet for analysis. The background information provided by the parent/guardian of each child was analyzed using various measures of central tendency to summarize and describe the data sets. The session summary data completed by play therapists at the CFRC was examined using analysis of variance and multivariate analysis of variance. Analysis of variance and multivariate analysis of variance revealed statistical significance between the following variables: a) males and use of dolls (.01), animals (.007) and weapons (.014), and males and expression of happy (.048), confident (.042) curious (.007) and flat (.029) during play therapy sessions; b) young children and use of vehicles (.050) during play therapy sessions; c) Caucasian children and expression of happy (.011), and confident (.008) during play therapy sessions; d) children residing in single parent households and use of hammer (.049) and puppets (.048) during play therapy sessions; and e) a variety of presenting problems and toy use/play behavior, feelings expressed and themes played out during play therapy sessions. Frequency of toy use and emotional expression were also investigated as well as session peaks of toy use, emotions expressed and themes. Analysis revealed that the toys used most often during play therapy sessions included the following categories: sandbox, easel/paints, dolls, weapons, crafts and money. Feelings expressed most often in play therapy sessions included excited, pleased, focused, interested, proud, curious, frustrated and confident. Analysis also indicated a positive shift in the overall dynamics of play therapy sessions, as reported by play therapists, during sessions 9-13.
A new high-speed 4-DOF parallel robot synthesis and modeling issues

This paper presents a new family of fully-parallel robots producing motions of the Schoenflies displacements subgroup (three translations and one rotation about a given axis in world coordinates) for high-speed handling and machining. First, the structure's ability to provide this four-degrees-of-freedom motion is presented. Then, two of its possible designs are analyzed: the symmetrical and the asymmetrical one. Constructive designs are then presented. Some of the prototype's preliminary control results are given to prove the H4 robot's efficiency.
Pilot decontamination through compressive wideband channel estimation

We consider a multi-cell massive MIMO system in which every base station is equipped with an array with M ≫ 1 antennas and serves a collection of users inside its cell. We study a scenario in which the base station and the users use OFDM signaling, and the channel state information (CSI) is estimated under time division duplexing (TDD) via orthogonal pilots transmitted from the users in the uplink and is used under reciprocity assumption to precode the data to the users in the downlink. It has been observed that in the limit of very large number of antennas M at each base station, the only factor limiting the achievable throughput of the system is pilot contamination. Pilot contamination occurs because the same set of orthogonal pilots are reused in adjacent cells and as a result the estimate of the channel state obtained at the base station in a specific cell becomes polluted by the simultaneous pilot transmission of the users from the other cells. In this paper, we propose a low-complexity algorithm that uses the received wideband pilot snapshots of a user inside an observation window containing several coherence blocks to obtain an estimate of the angle-delay power spread function (PSF) of its contaminated channel vectors. Since the copilot users can generally be distinguished in the delay domain due to their longer delays, the estimated PSF can be decomposed into two parts: 1)the signal part corresponding to the PSF of the channel vectors of the user inside the cell and 2) the interference part corresponding to the that of copilot users. We use this decomposition to obtain an estimate of the covariance matrix of the user channel vector, which we exploit to decontaminate the received pilot signal in the next coherence blocks. We use numerical simulations to assess the performance of our proposed PSF estimation and pilot-decontamination algorithm.
A New Trusted Third-Party Billing For Mobile Networks

The advancement of technology facilitates explosive growth of mobile usage in the last decade. Numerous applications have been developed to support its usage. However, gap in technology exists in obtaining correct and trusted values for evaluation indexes of the precise amount of usage. The claims of loss in revenue by the service providers could be more due to unexpected behaviour of the hardware. A similar mistrust is often observed in the users of the services. A trustworthy subscription scheme is in demand for consumers whereas revenue needs to be assured of the service providers. Multiple Authorizations by Multiple Owners (MAMO) has already been introduced as a technology to build trust in the third party billing system. In this paper, MAMO is extended to ensure trustworthiness of the parameters for subscription. Along with call transaction data are reconciled to assure the proper revenue generation.
Fast Joint Estimation of Silhouettes and Dense 3D Geometry from Multiple Images

We propose a probabilistic formulation of joint silhouette extraction and 3D reconstruction given a series of calibrated 2D images. Instead of segmenting each image separately in order to construct a 3D surface consistent with the estimated silhouettes, we compute the most probable 3D shape that gives rise to the observed color information. The probabilistic framework, based on Bayesian inference, enables robust 3D reconstruction by optimally taking into account the contribution of all views. We solve the arising maximum a posteriori shape inference in a globally optimal manner by convex relaxation techniques in a spatially continuous representation. For an interactively provided user input in the form of scribbles specifying foreground and background regions, we build corresponding color distributions as multivariate Gaussians and find a volume occupancy that best fits to this data in a variational sense. Compared to classical methods for silhouette-based multiview reconstruction, the proposed approach does not depend on initialization and enjoys significant resilience to violations of the model assumptions due to background clutter, specular reflections, and camera sensor perturbations. In experiments on several real-world data sets, we show that exploiting a silhouette coherency criterion in a multiview setting allows for dramatic improvements of silhouette quality over independent 2D segmentations without any significant increase of computational efforts. This results in more accurate visual hull estimation, needed by a multitude of image-based modeling approaches. We made use of recent advances in parallel computing with a GPU implementation of the proposed method generating reconstructions on volume grids of more than 20 million voxels in up to 4.41 seconds.
On-Off Keying Ultra-Wideband Communication with Adaptive Overcomplete Dictionary Detection

Ultra-wideband (UWB) transmission is a supporting technology for future wireless networks. The requirements of high data rate and low power consumption make it necessary for practical systems to have simple modulation schemes and effective detection algorithms. In this paper, we consider on-off keying (OOK) modulation UWB systems. Detection is based on an overcomplete dictionary signal representation and sparsity-driven optimization. The proposed system has low complexity and can be optimized for the best performance according to different pulse shapes as well as noise and/or interference.
Do FreeWord Order Languages Need More Treebank Data? Investigating Dative Alternation in German, English, and Russian

We investigate whether non-configurational languages, which display more word order variation than configurational ones, require more training data for a phenomenon to be parsed successfully. We perform a tightly controlled study comparing the dative alternation for English (a configurational language), German, and Russian (both non-configurational). More specifically, we compare the performance of a dependency parser when only canonical word order is present with its performance on data sets when all word orders are present. Our results show that for all languages, canonical data not only is easier to parse, but there exists no direct correspondence between the size of training sets containing free(er) word order variation and performance.
Joint Clustering and Routing Design for Reliable and Efficient Data Collection in Large-Scale Wireless Sensor Networks

For data collection in large-scale wireless sensor networks (WSNs), dynamic clustering provides a scalable and energy-efficient solution, which uses cluster head (CH) rotation and cluster range assignment algorithms to balance the energy consumption. Nevertheless, most existing works consider the clustering and routing as two isolated issues, which is harmful to the connectivity and energy efficiency of the network. In this paper, we provide a detailed analysis on the relations between clustering and routing, and then propose a joint clustering and routing (JCR) protocol for reliable and efficient data collection in large-scale WSN. JCR adopts the backoff timer and gradient routing to generate connected and efficient intercluster topology with the constraint of maximum transmission range. The relations between clustering and routing in JCR are further exploited by theoretical and numerical analyses. The results show that the multihop routing in JCR may lead to the unbalanced CH selection. Then, the solution is provided to optimize the network lifetime by considering the gradient of one-hop neighbor nodes in the setting of backoff timer. Theoretical analysis and simulation results prove the connectivity and efficiency of the network topology generated by JCR.
Cross-coupling motion controller for mobile robots

The design and implementation of a cross-coupling motion controller for a differential-drive mobile robot is described. A new concept, the most significant error, is introduced as the control design objective. Cross-coupling control directly minimizes the most significant error by coordinating the motion of the two drive wheels. The cross-coupling controller has excellent disturbance rejection. This is advantageous when the robot is not loaded symmetrically or has large friction in its drive mechanism, and especially when it is instructed to follow curved paths. Experimental results show that cross-coupling control yields substantially smaller position and orientation errors than conventional methods. <<ETX>>
Regulation of colony-stimulating factor 1 during pregnancy

Pregnancy results in an elevation in serum and tissue concentrations of the mononuclear phagocytic growth factor, CSF-1 (colony-stimulating factor 1). These increases are associated with an increase in the number of monocytes in the circulation, and with increases in the number of splenic macrophage precursors. In contrast to the approximately 2-fold elevation of the CSF-1 concentrations in serum and most tissues, pregnancy results in a 1,000-fold increase in the concentration of uterine CSF-1. The roughly fivefold elevation in uterine CSF-1 concentration observed at day 5 of pregnancy could be mimicked by administration of chorionic gonadotrophin in intact but not ovariectomized mice. These dramatic changes in uterine CSF-1 concentrations may indicate a role for CSF-1 in the regulation of nonmononuclear phagocytic cell types.
'Since You're so Rich, You Must Be Really Smart': Talent and the Finance Wage Premium

Relative pay in the financial sector has experienced an extraordinary increase over the last few decades. A proposed explanation for this pattern has been that the demand for skilled workers in finance has risen more than in other sectors. We use Swedish administrative data, which include detailed cognitive and non-cognitive test scores as well as performance in high-school and university, to examine the implications of this hypothesis for talent allocation and relative wages in the financial sector. We find no evidence that the selection of talent into finance increased or improved, neither on average nor at the top of the talent distribution. A changing composition of talent or their returns cannot account for the surge in the finance wage premium. These findings alleviate concerns about a “brain drain” into finance at the expense of other sectors, but they also suggest that rents in finance are high, increasing, and largely unexplained.
Micro-culture and consumers adoption of technology: A need to re-evaluate the concept of national culture

The impact of culture on, and cross-cultural differences in, buying behavior and purchase intentions are extensively researched in the marketing literature. The intuitive conclusion that the social influences to which one is exposed alters attitudes, beliefs and values and thus ones preferences for goods and services is borne out by that research. However, in almost all research on national culture an homogeneity of the nation is assumed through the use of single, mean values on a limited series of dimensions (Hofstede) or syndromes (Triandis). In this paper we argue that some societies are strongly multi-cultural (e.g. Malaysia) and that the assumption that all nationalities are mono-cultural is fundamentally flawed. This argument is founded on the suggestions by Steenkamp (inter alia) that there is a need within the cultural impact research to "account for within-country heterogeneity". This conceptual paper explores whether and how, in multicultural societies such as Malaysia and the United Kingdom, such intra-national heterogeneity affects technology adoption. The hypothesis of micro- or intra-national cultural impact on consumer behavior is explored through development of a conceptual framework that integrates cultural variables into a consumer intentions model, that being based on a combination of the Theory of Planned Behavior (Azjen) and the Technology Readiness construct (Parasuraman). While actual behavior might be a more robust outcome measure, a considerable body of research supports the mediating role of intention between behavioral antecedents and actual behavior, and so the selected outcome (dependent) variable in the espoused model is intention (in particular the intention to make internet purchases). Arguing from an analysis of the TPB and TR models, five antecedents of the intention to adopt a technology are identified--attitude towards the behavior, social (subjective) norms, perceived behavioral control, self-efficacy and technological innovativeness.