Miracle-dz/UniFAR-FTUs huggingface dataset:
Phosphatidylinositol 3-Kinase Activation Is Required To Form the NKG2D Immunological Synapse

ABSTRACT The receptor NKG2D allows natural killer (NK) cells to detect virally infected, stressed, and tumor cells. In human cells, NKG2D signaling is mediated through the associated DAP10 adapter. Here we show that engagement of NKG2D by itself is sufficient to stimulate the formation of the NK immunological synapse (NKIS), with recruitment of NKG2D to the center synapse. Mutagenesis studies of DAP10 revealed that the phosphatidylinositol 3-kinase binding site, but not the Grb2 binding site, was required and sufficient for recruitment of DAP10 to the NKIS. Surprisingly, we found that in the absence of the Grb2 binding site, Grb2 was still recruited to the NKIS. Since the recruitment of Grb2 was dependent on phosphatidylinositol-(3,4,5)-trisphosphate (PIP3), we explored the possibility that recruitment to the NKIS is mediated by a pleckstrin homology (PH) domain-containing binding partner for Grb2. We found that the PH domain of SOS1, but not that of Vav1, was able to be recruited by PIP3. These results provide new insights into the mechanism of immunological synapse formation and also demonstrate how multiple mechanisms can be used to recruit the same signaling proteins to the plasma membrane.
Sex, Group Composition, and the Efficacy of Group Interventions to Promote Forgiveness

In an extension of a prior investigation of the efficacy of group treatments to promote forgiveness, the present study examined whether participant sex and group composition predicted forgiveness-related outcomes. Multilevel hierarchical regression analyses were used to analyze data from 144 participants who completed a 2-week, 6-hour group intervention. Women reported significantly more decreases in the desire for revenge when compared to men. Group composition also was related to outcome, such that the more men who were in a group, the more likely women were to diminish desires for revenge and the less likely men were to cultivate empathy for their offenders. Implications and directions for future research are offered.
Evaluating Perceptually Complementary Views for Network Exploration Tasks

We explore the relative merits of matrix, node-link and combined side-by-side views for the visualisation of weighted networks with three controlled studies: (1) finding the most effective visual encoding for weighted edges in matrix representations; (2) comparing matrix, node-link and combined views for static weighted networks; and (3) comparing MatrixWave, Sankey and combined views of both for event-sequence data. Our studies underline that node-link and matrix views are suited to different analysis tasks. For the combined view, our studies show that there is a perceptually complementary effect in terms of improved accuracy for some tasks, but that there is a cost in terms of longer completion time than the faster of the two techniques alone. Eye-movement data shows that for many tasks participants strongly favour one of the two views, after trying both in the training phase.
Quantification of Cell Edge Velocities and Traction Forces Reveals Distinct Motility Modules during Cell Spreading

Actin-based cell motility and force generation are central to immune response, tissue development, and cancer metastasis, and understanding actin cytoskeleton regulation is a major goal of cell biologists. Cell spreading is a commonly used model system for motility experiments – spreading fibroblasts exhibit stereotypic, spatially-isotropic edge dynamics during a reproducible sequence of functional phases: 1) During early spreading, cells form initial contacts with the surface. 2) The middle spreading phase exhibits rapidly increasing attachment area. 3) Late spreading is characterized by periodic contractions and stable adhesions formation. While differences in cytoskeletal regulation between phases are known, a global analysis of the spatial and temporal coordination of motility and force generation is missing. Implementing improved algorithms for analyzing edge dynamics over the entire cell periphery, we observed that a single domain of homogeneous cytoskeletal dynamics dominated each of the three phases of spreading. These domains exhibited a unique combination of biophysical and biochemical parameters – a motility module. Biophysical characterization of the motility modules revealed that the early phase was dominated by periodic, rapid membrane blebbing; the middle phase exhibited continuous protrusion with very low traction force generation; and the late phase was characterized by global periodic contractions and high force generation. Biochemically, each motility module exhibited a different distribution of the actin-related protein VASP, while inhibition of actin polymerization revealed different dependencies on barbed-end polymerization. In addition, our whole-cell analysis revealed that many cells exhibited heterogeneous combinations of motility modules in neighboring regions of the cell edge. Together, these observations support a model of motility in which regions of the cell edge exhibit one of a limited number of motility modules that, together, determine the overall motility function. Our data and algorithms are publicly available to encourage further exploration.
Secrecy Outage Analysis for SIMO Underlay Cognitive Radio Networks over Generalized- $K$ Fading Channels

In this letter, we consider a single-input multiple-output cognitive wiretap system over generalized-K channels, where the eavesdropper overhears the transmission from the secondary transmitter (ST) to the legitimate receiver. Both the primary user and the ST are equipped with a single antenna, whereas the legitimate and the eavesdropper receivers are equipped with multiple antennas. The close-form expression for the secrecy outage probability is derived. Simulations are presented to validate the accuracy of our proposed analytical results.
[The malaria situation in the WHO eastern Mediterranean region].

About 45% of the population of the Eastern Mediterranean Region live under the risk of both falciparum and vivax malaria, and additional 15% under the risk of P. vivax alone. The estimated annual number of malaria cases is about 14 million, out of which 95% occur in four countries: Afghanistan, Somalia, Sudan and Yemen. In Afghanistan malaria is endemic throughout the country at altitude below 1500 m. About 80-90% of malaria cases belong to P. vivax, the rest to P. falciparum (the latter is prevalent mostly in the South and in Badakhshan). In Islamic Republic of Iran 16% of the population live in initially non-malarious areas, 66% in areas freed from malaria, 12% in areas with sporadic transmission, mostly of P. vivax, and only 6% in areas of continuous transmission with a high proportion of P. falciparum. As much as 77% of the recorded cases belong to the latter territories. Iraq. After the Gulf war, the situation deteriorated in the three north-eastern governorates, and malaria spread outside this area and rooted in the south (Basra). Syria. Transmission of P. vivax still occurs, mostly along the western part of the border with Turkey and in the north-eastern corner of the country. At present, there are three areas that causes concern along borders between the European and Eastern Mediterranean Regions: Afghanistan is a source of importation of malaria to all its neighbours; areas on the borders between Iran, Azerbaijan and, to some extent, Armenia; 4 northern governorates of Iraq and parts of southeastern Turkey, with repercussions in Syria and, to a Lesser extent in Iran, along its western border. To some extent, Cyprus is also threatened, since importation of malaria to the northern part of the island from Turkey has been documented. In practical terms, there is a need for co-ordination of antivectorial activities and standardization of control methods between the countries with strong programmes and relatively intense transmission in border areas, i.e. between Iran, and Azerbaijan, Iraq and Turkey, Syria and Turkey.
S2R2: An enhanced method to improve the performance of CPU scheduling using sort-split Round-Robin technique for load balancing

Job scheduling is a important purpose of the running process. Laptop assets are scheduled earlier than use. By means of switching the CPU among techniques, the operating procedure can make the computer more productive. All fundamental CPU scheduling algorithms targets at maximizing the CPU utilization, throughput, and minimizing waiting time, turnaround time and context switch. To beef up the efficiency of CPU and to cut down the overhead on the CPU, allocate the CPU cycles among the strategies in a multiprocessor atmosphere fairly. Or else, efficiency will likely be less. Fairness is essential component for each OS scheduler. Previous scheduling algorithms endure from bad equity, high overhead, or incompatibility with existing scheduler insurance policies. Because the hardware industry continues to push multi-core, it is essential for operating techniques to maintain up with accurate, effective, and scalable fair scheduling designs. This paper describes S2R2, a multiprocessor reasonable scheduling algorithm that achieves these goals. Round-Robin, viewed as probably the most largely adopted CPU scheduling algorithm. However existing algorithm displays bad natural ready time and too many context switches within the multiprocessor environment. Hence, we advise a process to maximize the efficiency of the multiprocessor utilizing S2R2: type-split circular-Robin algorithm which is established on round Robin scheduling algorithm. Each outcome and calculations show that, our proposed process is extra effective than the existing circular Robin scheduling algorithm.
Exploring the Characteristics of Multi-party Dialogues

This paper describes novel results on the characteristics of three-party dialogues by quantitatively comparing them with those of two-party. In previous dialogue research, two-party dialogues are mainly focussed because data collection of multi-party dialogues is difficult and there are very few theories handling them, although research on multi-party dialogues is expected to be of much use in building computer supported collaborative work environments and computer assisted instruction systems. In this paper, firstly we describe our data collection method of multi-party dialogues using a meeting scheduling task, which enables us to compare three-party dialogues with those of two party. Then we quantitively compare these two kinds of dialogues such as the number of characters and turns and patterns of information exchanges. Lastly we show that patterns of information exchanges in speaker alternation and initiative-taking can be used to characterise three-party dialogues.
The Effects of Audience Size on High and Low Speech-Anxious Subjects During an Actual Speaking Task

The present study assessed the impact of audience size (0, 2, or 6) and expertness level (expert present/absent) on 30 high and low speech-anxious subjects while they were giving a speech. Anxiety level was measured via self-reported nervousness, physiological change (heart rate and skin conductance), and overt motor behavior. It was found that while high speech-anxious subjects were relatively more anxious and depressed after speaking before a larger audience, low speech-anxious subjects were relatively less anxious and depressed before a larger audience. In addition, when given a choice, high anxious subjects reported a general preference for speaking alone while the low anxious subjects preferred having three or more people present. However, both groups showed similar physiological increases during preparation for speaking and during the actual speaking episode. These data are interpreted as evidence for a possible "exhibitionistic" effect in low anxious subjects, and are further interpreted in light o.
A Longitudinal Study of Product Form Innovation: The Interaction between Predispositions and Social Messages

In this article we simplify and apply our 1978 contingency model of adoption, in the simplified model, an individual's predisposition to innovate is modified by socially transmitted messages about the innovation, as well as by other situation specific factors. This model is used to make predictions about the future behavior of a sample of consumers that are tested with data collected during the diffusion of six innovations. While our findings support the model, especially with respect to the role of innovative individuals, they also demonstrate the need to develop explanations of rejection. Copyright 1993 by the University of Chicago.
Antibiotic resistant pattern of environmental isolates of Listeria monocytogenes from Ado-Ekiti, Nigeria

Incidence of Listeria monocytogenes in cow manure, agricultural soil, and common vegetables sold in major markets in Ado-Ekiti, Nigeria was determined. Antibiotic resistant pattern of the isolates was examined by paper disk assay. A total of 196 environmental samples were cultured on a selective medium out of which 153 (78.1%) were positive for L. monocytogenes. Erythromycin was the most effective antibiotic against the isolates with the least resistance (28.1%) while chloramphenicol proved to be least effective with resistant of 52.29%. The multiple-antibiotic resistant pattern of the isolates showed augumentin/amoxicillin (33.3%), lugumentin/erythromycin (24.18%), and cotrimoxazole/ chloramphenicol/amoxicillin (28.8%) to be most prominent. The least value was observed in cloxacilin/cotrimoxazole/gentamycin with 15.34%. The modal values of the Minimum Inhibitory Concentrations (MICs) of the antibiotics to the isolates range between 4.0 and >16.0 ig/ml. cotrimoxazole and gentamicin recorded the highest MIC compared with other antibiotics.
The Micro Craft iSTAR Micro Air Vehicle: Control System Design and Testing

The iSTAR Micro Air Vehicle (MAV) is a unique 9-inch diameter ducted air vehicle weighing approximately 4 lb. The configuration consists of a ducted fan with control vanes at the duct exit plane. This VTOL aircraft not only hovers, but it can also fly at high forward speed by pitching over to a near horizontal attitude. The duct both increases propulsion efficiency and produces lift in horizontal flight, similar to a conventional planar wing. The vehicle is controlled using a rate based control system with piezo-electric gyroscopes. The Flight Control Computer (FCC) processes the pilot’s commands and the rate data from the gyroscopes to stabilize and control the vehicle. First flight of the iSTAR MAV was successfully accomplished in October 2000. Flight at high pitch angles and high speed took place in November 2000. This paper describes the vehicle, control system, and ground and flight-test results .
A new lignan with hypoglycemic activity from Tadehagi triquetrum

A new lignan named tadehaginosin, together with a known compound 3,4-dihydro-4-(4′-hydroxyphenyl)-5,7-dihydroxycoumarin, was isolated from the aerial part of Tadehagi triquetrum. The new structure was determined by various spectroscopic techniques (1H and 13C APT, HSQC, HMBC, 1H–1HCOSY, NOESY and HR-ESI-MS). The two isolates were evaluated for their hypoglycemic effects in vitro. Biological investigation showed that both of them possessed the capability to increase glucose consumption by HepG2 cells.
Low-voltage Low-power CMOS IF Programmable Gain Amplifier

This paper presents a low-voltage low-power differential programmable gain amplifier (PGA) for wideband applications. To achieve low-voltage low-power and wideband operation while preserving linearity, the proposed cell is based on a gm-boosted source-degenerated differential pair. Programmability is achieved combining two techniques, a switchable array of source degenerating hybrid polysilicon- MOS resistors and a programmable output current mirror. Designed in a 0.35 mum CMOS technology, the proposed PGA is very compact in terms of silicon area and consumes 0.5 mW from a single 1.8 V supply. The programmable gain varies linearly in-dB from 0 to 21 dB in 3 dB steps through a 4-bit word. Simulation results show an almost constant bandwidth of 100 MHz and total harmonic distortion figures are below -70 dB over the whole gain range at 10 MHz for a 0.2 Vp-p, differential output.
Text Line Detection in Unconstrained Handwritten Documents Using a Block-Based Hough Transform Approach

In this paper we present a new text line detection method for unconstrained handwritten documents. The proposed technique is based on a strategy that consists of three distinct steps. The first step includes image binarization and enhancement, connected component extraction and average character height estimation. In the second step, a block-based Hough transform is used for the detection of potential text lines while a third step is used to correct possible splitting, to detect text lines that the previous step did not reveal and, finally, to separate vertically connected characters and assign them to text lines. The performance evaluation of the proposed approach is based on a consistent and concrete evaluation methodology.
Omphalocele in trisomy 3q: further delineation of phenotype

We report a case of a patient with omphalocele, dysmorphic features, and mild developmental delay associated with a chromosomal aberration. Chromosome studies showed that the propositus carries a maternally derived unbalanced translocation der(4)t(3;4)(q27.3;q32.3), resulting in trisomy for region 3q27.3→qter and monosomy for 4q32.3→qter. Because the association between dup3q and omphalocele has been reported in several cases, we analyzed the data on 93 previously reported patients with partial trisomy of the long arm of chromosome 3 and compared the clinical features between the cases. The imbalance of chromosome 3 in the patient was further defined by fluorescence in situ hybridization (FISH) studies using bacterial artificial chromosome (BAC) clones. BAC clone RP11‐171N2 was identified as a breakpoint‐spanning clone in the patient and his mother. Based on our comparative analysis, we have delineated that the smallest region of overlap (SRO) associated with omphalocele is from BAC 171N2 to 3qter. We hypothesize that the SRO contains a gene(s) important in normal abdominal wall development and is of potential interest for further investigation.
Prompts Versus Recasts in Dyadic Interaction

This study investigated the differential effects of prompts and recasts, in the context of dyadic interaction, on the acquisition of grammatical gender by adult second language learners of French. Participants were 25 undergraduate students enrolled in an intermediate-level French course at an English-speaking university. All students were exposed in class to a 3-hr form-focused instructional treatment distributed over 2 weeks and were then randomly placed in either the recast or prompt group. On two occasions outside of class, individual students participated in three different oral tasks during dyadic interaction with a native or near-native speaker of French who, following learner errors in grammatical gender, provided feedback in the form of either prompts or recasts. Pretests and immediate and delayed posttests included two oral production tasks and a computerized reaction-time binary-choice test. Results of repeated-measures ANOVA showed that both groups significantly improved accuracy and reaction-time scores over time, irrespective of feedback type. We conclude that learners receiving recasts benefited from the repeated exposure to positive exemplars as well as from opportunities to infer negative evidence, whereas learners receiving prompts benefited from the repeated exposure to negative evidence as well as from opportunities to produce modified output.
Repairing Data through Regular Expressions

Since regular expressions are often used to detect errors in sequences such as strings or date, it is natural to use them for data repair. Motivated by this, we propose a data repair method based on regular expression to make the input sequence data obey the given regular expression with minimal revision cost. The proposed method contains two steps, sequence repair and token value repair. For sequence repair, we propose the Regular-expression-based Structural Repair (RSR in short) algorithm. RSR algorithm is a dynamic programming algorithm that utilizes Nondeterministic Finite Automata (NFA) to calculate the edit distance between a prefix of the input string and a partial pattern regular expression with time complexity of O(nm2) and space complexity of O(mn) where m is the edge number of NFA and n is the input string length. We also develop an optimization strategy to achieve higher performance for long strings. For token value repair, we combine the edit-distance-based method and associate rules by a unified argument for the selection of the proper method. Experimental results on both real and synthetic data show that the proposed method could repair the data effectively and efficiently.
How College Freshmen Communicate Student Academic Support: A Grounded Theory Study

This grounded theory study was designed to generate theory to understand how student academic support is communicated between students during the freshmen transition. No literature exists on the process of how students informally communicate support for academics during the college transition. The diary–interview method was utilized with college freshmen and analyzed using a constant comparative method. A theoretical model was developed describing causal, contextual, and intervening conditions influencing academic support strategies. The results of student support and implications of the developed model are addressed.
Transference, Counter-Transference, Projective Identification and Role Responsiveness in the Supervisory Process

The psychoanalytic concepts of transference, counter-transference, projective identification and role-responsiveness are elucidated an discussed in light of the supervisory process. It is our feeling that because of the strong Freudian influence on therapy and on social work theory, it is essential that supervisors be able to recognize the interplay in the parallel process of supervison between supervisor and supervisee, on all levels.
LITTLEWOOD-PALEY DECOMPOSITION ASSOCIATED WITH THE DUNKL OPERATORS AND PARAPRODUCT OPERATORS

We define the Littlewood-Paley decomposition associated with the Dunkl operators; from this decomposition we give the characterization of the Sobolev, Holder and Lebesgue spaces associated with the Dunkl operators. We construct the paraproduct operators associated with the Dunkl operators similar to those defined by J.M. Bony in [ 1]. Using the Littlewood-Paley decomposition we establish the Sobolev embedding, Gagliardo-Nirenberg inequality and we present the paraproduct algorithm.
Compressive spectral imaging with colored-patterned detectors

Compressive spectral imaging captures the spatial and spectral information of a scene using a set of two-dimensional random projections. Compressed sensing reconstruction algorithms are then used to recover the underlying three-dimensional source. This work presents a new generation of devices that attain compressive spectral image measurements by means of a colored-patterned detector and a dispersive element. Simulations show that these new generation devices can recover spectral scenes with up to 5 dB gain in PSNR with respect to traditional Coded Aperture Snapshot Spectral Imaging (CASSI) systems.
Online Expectation Maximization for Reinforcement Learning in POMDPs

We present online nested expectation maximization for model-free reinforcement learning in a POMDP. The algorithm evaluates the policy only in the current learning episode, discarding the episode after the evaluation and memorizing the sufficient statistic, from which the policy is computed in closed-form. As a result, the online algorithm has a time complexity O(n) and a memory complexity O(1), compared to O(n2) and O(n) for the corresponding batch-mode algorithm, where n is the number of learning episodes. The online algorithm, which has a provable convergence, is demonstrated on five benchmark POMDP problems.