Miracle-dz/UniFAR-FTUs huggingface dataset:
Attitudes Towards Family and Marital Counseling Among Israeli Arab Women

This is an empirical study of attitudes towards family and marital counseling among Israeli Arab women living in the multiethnic community of Jalfa-Tel Aviv. Using vignettes in a 3 x 3 factorial design, the study found that the women expressed most readiness to seek professional help for problems with their children and least readiness to seek help for problems with their spouses. Findings also showed that the ethnic identity-Jewish or Arab-of the service provider did not affect their attitudes. The paper suggests a variety of reasons for the findings.
Distributed Randomized Algorithms for the PageRank Computation

In the search engine of Google, the PageRank algorithm plays a crucial role in ranking the search results. The algorithm quantifies the importance of each web page based on the link structure of the web. We first provide an overview of the original problem setup. Then, we propose several distributed randomized schemes for the computation of the PageRank, where the pages can locally update their values by communicating to those connected by links. The main objective of the paper is to show that these schemes asymptotically converge in the mean-square sense to the true PageRank values. A detailed discussion on the close relations to the multi-agent consensus problems is also given.
Finding Error Handling Bugs in OpenSSL Using Coccinelle

OpenSSL is a library providing various functionalities relating to secure network communication. Detecting and fixing bugs in OpenSSL code is thus essential, particularly when such bugs can lead to malicious attacks. In previous work, we have proposed a methodology for finding API usage protocols in Linux kernel code using the program matching and transformation engine Coccinelle. In this work, we report on our experience in applying this methodology to OpenSSL, focusing on API usage protocols related to error handling. We have detected over 30 bugs in a recent OpenSSL snapshot, and in many cases it was possible to correct the bugs automatically. Our patches correcting these bugs have been accepted by the OpenSSL developers. This work furthermore confirms the applicability of our methodology to user-level code.
Agricultural environment measure system based on ZigBee network and algae cell sensors

In order to ensure the high quality and safety of agriculture production, to fulfill the real time and remote measurement of environmental humidity, temperature and luminance, and to detect and prevent the water pollution in irrigation, a wireless sensor ZigBee network based on the biochemistry technique was designed for safe production of green agriculture. And the node in networks was designed based on the chip of CC2430, as well as the response characteristic of algae cell membrane electric signal to heavy metal pollution, such as algae cell membrane potential (MP) responding to mercury, was discussed in detail. Other environmental signals such as earthpsilas temperature, humidity, luminance are also properly gathered and processed in the networkpsilas node circuit. Through all the gathered environmental parameters, users can make instant and corresponding decisions to improve efficiency and safety of agriculture production.
p 53 codon 72 polymorphism in stomach and colorectal adenocarcinomas in Iranian patients.

BACKGROUND The association of a functional single nucleotide polymorphism at codon 72 of the p53 gene (Arg72Pro) with malignancy is a subject of controversy. We analyzed this polymorphism in 224 patients with gastrointestinal cancers (92 with stomach cancer and 132 with colorectal cancer) and in 163 healthy controls. MATERIAL AND METHODS DNA was extracted from peripheral blood mononuclear cells and amplified with an allele-specific polymerase chain reaction. RESULTS There was no significant association between p53 alleles and gastrointestinal cancers. The frequency of the Arg allele was 59.7, 58.8, and 59.2% in the stomach cancer patients, colorectal cancer patients, and controls, respectively. Frequencies of the Pro allele were 40.3% in patients with stomach cancer, 41.2% in patients with colorectal cancer, and 40.8% in controls. Likewise, genotype frequencies did not differ significantly between the two patient groups and controls. There were no differences in genotype or allele frequencies by gender, age, or histological grade. CONCLUSIONS The data do not support the association of the p53 codon 72 polymorphism with stomach or colorectal cancers in Iranian patients.
Alteration of Nrp1 signaling at different stages of olfactory neuron maturation promotes glomerular shifts along distinct axes in the olfactory bulb

Building the topographic map in the mammalian olfactory bulb is explained by a model based on two axes along which sensory neurons are guided: one dorsoventral and one anteroposterior. This latter axis relies on specific expression levels of Nrp1. To evaluate the role of this receptor in this process, we used an in vivo genetic approach to decrease or suppress Nrp1 in specific neuronal populations and at different time points during axonal targeting. We observed, in neurons that express the M71 or M72 odorant receptors, that Nrp1 inactivation leads to two distinct wiring alterations, depending on the time at which Nrp1 expression is altered: first, a surprising dorsal shift of the M71 and M72 glomeruli, which often fuse with their contralateral counterparts, and second the formation of anteriorized glomeruli. The two phenotypes are partly recapitulated in mice lacking the Nrp1 ligand Sema3A and in mice whose sensory neurons express an Nrp1 mutant unable to bind Sema3A. Using a mosaic conditional approach, we show that M71 axonal fibers can bypass the Nrp1 signals that define their target area, since they are hijacked and coalesce with Nrp1-deficient M71-expressing axons that target elsewhere. Together, these findings show drastically different axonal targeting outcomes dependent on the timing at which Nrp1/Sema3A signaling is altered. Summary: During olfactory bulb development in mice, different axonal targeting outcomes are dependent on the timing of Nrp1/Sema3A signaling.
Sparse radon transforms with a bound-constrained approach

Radon transforms are popular operators for velocity analys is (Taner and Koehler, 1969; Guitton and Symes, 2003), noise attenuation (Foster and Mosher , 1992), and data interpolation (Hindriks and Duijndam, 1998; Trad et al., 2002). One proper ty that is often sought in radon domains is sparseness, where the energy in the model space is well focused for each corresponding event in the data space. Sparseness is especially u seful for multiple attenuation and interpolation. In practice, depending on the radon transfo rm, sparseness can be achieved either in the Fourier (Herrmann et al., 2000) or time domain (Sa cchi and Ulrych, 1995). To estimate sparse radon panels in the time domain, a regulariz ation operator that enforces longtailed probability density functions for the model paramet ers is often used. This regularization operator can be thè1 norm (Nichols, 1994) or the Cauchy norm (Sacchi and Ulrych, 1 995).
Analysis of transcription and translation of glycolytic enzymes in glucose-limited continuous cultures of Saccharomyces cerevisiae.

mRNA steady-state levels and activities of enzymes of intermediary carbon metabolism (hexokinase, phosphoglucoisomerase, phosphofructokinase, glucose-6-phosphate dehydrogenase, phosphoglucomutase) and glucose-regulated enzymes (pyruvate decarboxylase, pyruvate dehydrogenase, invertase, alcohol dehydrogenase) were determined in glucose-limited continuous cultures of an industrial strain of Saccharomyces cerevisiae at different dilution rates (D) ranging from 0.05 to 0.315 h-1. The activity of most enzymes measured remained constant over this range except for alcohol dehydrogenase I/II which decreased proportionally with increasing dilution rate. A decrease in phosphoglucomutase activity occurred with increasing dilution rate but reached a minimum at D 0.2 h-1 and from thereon remained constant. A decrease in pyruvate decarboxylase activity and a slight decrease in phosphoglucoisomerase activity was observed. At D 0.29/0.315 h-1, at the onset of the Crabtree effect, most glycolytic enzymes remained constant except for pyruvate decarboxylase and glucose-6-phosphate dehydrogenase which increased at D 0.315 h-1 and alcohol dehydrogenase I/II which decreased. The ADHI/II and PDC1 mRNA levels obtained at the different dilution rates were in accordance with the activity measurements. The mRNA level of HXK1 decreased with increasing dilution rates, whereas the transcription of HXK2 increased. Pyruvate dehydrogenase (PDA1) and PGI1 mRNA fluctuated but no significant change could be detected. These results indicate that there is no transcriptional or translational regulation of glycolytic flux between D 0.05 h-1 and 0.315 h-1 except at the branch point between oxidative and fermentative metabolism (pyruvate decarboxylase/pyruvate dehydrogenase) at D 0.315 h-1. Surprisingly regulation of the Crabtree effect does not seem to involve transcriptional regulation of PDA1. (ABSTRACT TRUNCATED AT 250 WORDS)
A Review of Vision-Based Gait Recognition Methods for Human Identification

Human identification by gait has created a great deal of interest in computer vision community due to its advantage of inconspicuous recognition at a relatively far distance. This paper provides a comprehensive survey of recent developments on gait recognition approaches. The survey emphasizes on three major issues involved in a general gait recognition system, namely gait image representation, feature dimensionality reduction and gait classification. Also, a review of the available public gait datasets is presented. The concluding discussions outline a number of research challenges and provide promising future directions for the field.
An Ultra-Wideband Distributed Active Mixer MMIC in 0.18-$\mu$m CMOS Technology

In this paper, a distributed circuit topology for active mixers suitable for ultra-wideband operations is presented. By employing nonuniform artificial transmission lines with the complementary transconductance stages in the Gilbert-cell multiplier, the proposed mixer demonstrates broadband characteristics at microwave frequencies while maintaining a high conversion gain (CG) with improved gain flatness. Using a 0.18-mum CMOS process, the proposed circuit is implemented, exhibiting a -3-dB bandwidth of 28 GHz. With a local-oscillator power of 3 dBm and an IF frequency of 10 MHz, the fabricated circuit has a CG of 12.5plusmn1 dB and an average input third-order intercept point (IIP3) of 0 dBm within the entire frequency range. The fully integrated wideband mixer occupies a chip area of 0.87times0. 82 mm2 and consumes a dc power of 20 mW from a 2-V supply voltage
Evasion, suppression and tolerance of Drosophila innate immunity by a male‐killing Spiroplasma endosymbiont

How endosymbiotic bacteria cope with host insect immunity is poorly understood. Here we report previously unknown aspects of immunity‐mediated interactions between male‐killing/non‐male‐killing spiroplasmas and Drosophila host. The male‐killing spiroplasma tended to reduce constitutive expression levels of some antimicrobial peptide genes, while the non‐male‐killing spiroplasma did not. In mutant flies whose innate immunity is constitutively up‐regulated, infection densities of the male‐killing spiroplasma were significantly suppressed but managed to increase during the aging of adult flies, indicating that the male‐killing spiroplasma is resistant to mounted immune attacks. These findings suggest that not only immune evasion but also immune suppression and tolerance are involved in the establishment and maintenance of the insect‐microbe symbiotic association.
Linking Integration and Residential Segregation

In the introduction to this special issue of JEMS, we question the strong link which is often made between the integration of minority ethnic groups and their residential segregation. In the literature on neighbourhood effects, the residential concentration of minorities is seen as a major obstacle to their integration, while the residential segregation literature emphasises the opposite causal direction, by focusing on the effect of integration on levels of (de-)segregation. The papers in this special issue, however, indicate that integration and segregation cannot be linked in a straightforward way. Policy discourses tend to depict residential segregation in a negative light, but the process of assimilation into the housing market is highly complex and differs between and within ethnic groups. The integration pathway not only depends on the characteristics of migrants themselves, but also on the reactions of the institutions and the population of the receiving society.
The Impact of and the Key Elements for a Successful Virtual Early Field Experience: Lessons Learned from a Case Study

Virtual schooling, or the practice of offering K-12 courses via distance technologies, has rapidly increased in popularity since its beginning in 1994. Although effective interaction with and support for students in these environments requires a unique set of skills and experiences, teacher education programs rarely include teaching and facilitation competencies for virtual school education. Even less has been offered in terms of virtual field experience. A pilot virtual field experience enabled teacher candidates to observe how a high school science course was taught by an exemplary teacher using blended technologies. Key findings show that the virtual field experience helped to clarify misconceptions, preconceptions, and concerns and led to a better understanding of Virtual School teaching skills and teacher’s role as well as the supportive role of technology. Teacher candidates also reported an increased interest in Virtual School and learning goals at the end of the experience. Five key elements were also identified as contributive to the successful experience. The elements were putting the “virtual” in the virtual early field experience, increasing awareness through external and internal informational gathering methods, including self-paced and guided observation, providing guided hands-on experiential learning, and including on-site observation.
On non-linear lower bounds in computational complexity

The purpose of this paper is to explore the possibility that purely graph-theoretic reasons may account for the superlinear complexity of wide classes of computational problems. The results are therefore of two kinds: reductions to graph theoretic conjectures on the one hand, and graph theoretic results on the other. We show that the graph of any algorithm for any one of a number of arithmetic problems (e.g. polynomial multiplication, discrete Fourier transforms, matrix multiplication) must have properties closely related to concentration networks.
Adaptive Obstacle Representations for Dynamical Navigation

This paper suggests and supports a design idea for improving dynamical navigation: adding an intermediary, adaptive obstacle representation level between perception and repeller representations. We illustrate our idea with our specific example of an adaptive obstacle representation level, which cleanly integrates into multiple existing navigation systems, treating each perceived obstacle entity as a locally sensitive, obstacle-valued function that returns an obstacle representation upon which steering and obstacle avoidance are based. Moreover, other elements of the navigation systems remain unaltered, thus preserving and extending original design virtues such as behavioral flexibility, computational efficiency, and dynamic responsiveness. Extensive simulations, validated with tests of real robots, demonstrate that our new representations compare favorably to previously employed representations on measures of effectiveness within a tested scenario, robustness over varying scenarios and ranges of parameter values, and computational efficiency.
Analysis of single-chain antibody production in Pichia pastoris using on-line methanol control in fed-batch and mixed-feed fermentations.

In the last few years the Pichia pastoris expression system has been gaining more and more interest for the expression of recombinant proteins. Many groups have employed fermentation technology in their investigations because the system is fairly easy to scale up and suitable for the production in the milligram to gram range. A large number of heterologous proteins from different sources has been expressed, but the fermentation process technology has been investigated to a lesser extent. A large number of fermentations are carried out in standard bioreactors that may be insufficiently equipped to meet the demands of high-cell-density fermentations of methylotrophic yeasts. In particular, the lack of on-line methanol analysis leads to fermentation protocols that may impair the optimal expression of the desired products. We have used a commercially available methanol sensor to investigate in detail the effects of supplementary glycerol feeding while maintaining a constant methanol concentration during the induction of a Mut(+) strain of Pichia pastoris. Specific glycerol feed rates in the range of 38-4.2 mg. g(-1). h(-1) (mg glycerol per gram fresh weight per hour) were investigated. Expression of the recombinant scFv antibody fragment was only observed at specific feed rates below 6 mg. g(-1). h(-1). At low specific feed rates, growth was even lower than with methanol as the sole carbon source and the harvest expression level of the scFv was only half of that found in the control fermentation. These results show that glycerol inhibits expression driven by the AOX1 promoter even at extremely limited availability and demonstrate the benefits of on-line methanol control in Pichia fermentation research.
Simultaneous determination of major and trace elements in urinary calculi by microwave-assisted digestion and inductively coupled plasma atomic emission spectrometric analysis.

A procedure that permits the simultaneous determination of major, minor and trace elements in urinary calculi by inductively coupled plasma atomic emission spectrometry is described. The dissolution of samples is achieved with a commercial microwave oven using a mixture of nitric and perchloric acids. Ca, Mg, P, Al, Cu, Fe, K, Li, Mn, Mo, Na, Pb, S, Sr and Zn were determined in more than 100 South African stones.
Robust Complex Behaviour Modeling at 90Hz

Modeling complex crowd behaviour for tasks such as rare event detection has received increasing interest. However, existing methods are limited because (1) they are sensitive to noise often resulting in a large number of false alarms; and (2) they rely on elaborate models leading to high computational cost thus unsuitable for processing a large number of video inputs in real-time. In this paper, we overcome these limitations by introducing a novel complex behaviour modeling framework, which consists of a Binarized Cumulative Directional (BCD) feature as representation, novel spatial and temporal context modeling via an iterative correlation maximization, and a set of behaviour models, each being a simple Bernoulli distribution. Despite its simplicity, our experiments on three benchmark datasets show that it significantly outperforms the state-of-the-art for both temporal video segmentation and rare event detection. Importantly, it is extremely efficient — reaches 90Hz on a normal PC platform using MATLAB.
Overexpression of miR-142-5p and miR-155 in Gastric Mucosa-Associated Lymphoid Tissue (MALT) Lymphoma Resistant to Helicobacter pylori Eradication

microRNAs (miRNAs) are small non-coding RNAs that can function as endogenous silencers of target genes and play critical roles in human malignancies. To investigate the molecular pathogenesis of gastric mucosa-associated lymphoid tissue (MALT) lymphoma, the miRNA expression profile was analyzed. miRNA microarray analysis with tissue specimens from gastric MALT lymphomas and surrounding non-tumor mucosae revealed that a hematopoietic-specific miRNA miR-142 and an oncogenic miRNA miR-155 were overexpressed in MALT lymphoma lesions. The expression levels of miR-142-5p and miR-155 were significantly increased in MALT lymphomas which do not respond to Helicobacter pylori (H. pylori) eradication. The expression levels of miR-142-5p and miR-155 were associated with the clinical courses of gastric MALT lymphoma cases. Overexpression of miR-142-5p and miR-155 was also observed in Helicobacter heilmannii-infected C57BL/6 mice, an animal model of gastric MALT lymphoma. In addition, miR-142-5p and miR-155 suppress the proapoptotic gene TP53INP1 as their target. The results of this study indicate that overexpression of miR-142-5p and miR-155 plays a critical role in the pathogenesis of gastric MALT lymphoma. These miRNAs might have potential application as therapeutic targets and novel biomarkers for gastric MALT lymphoma.
In Search of Perfect People Teamwork and Team Players in the Scottish Spirits Industry

Much of the mainstream and critical literatures stress the potential of teamwork for normative integration through socialization and peer pressure. This article utilizes case studies in the large bottling halls of spirits producers in Scotland to explore the characteristics of and limits to such integration. A multi-dimensional model of team-work and an examination of both practices and attitudes enables the research to identify the variety of managerial objectives and out-comes across and within the plants. Though the extent of integration varies between the teams, the overall results lead to scepticism about whether team members can be considered as socially engineered individuals who have internalized company normative demands. These findings, it is argued, are compatible with the majority of comparable case study research.
Use of the AMPS to evaluate older adults with mental health problems

The Assessment of Motor and Process Skills (AMPS) is a standardized, observational assessment of functional performance used by occupational therapists throughout the UK. This paper describes the AMPS and discusses its value when used with older adults who have mental health problems. Two case studies demonstrate the applicability of the AMPS as an evaluation tool and a measure of outcome.
Joint separation and denoising of noisy multi-talker speech using recurrent neural networks and permutation invariant training

In this paper we propose to use utterance-level Permutation Invariant Training (uPIT) for speaker independent multi-talker speech separation and denoising, simultaneously. Specifically, we train deep bi-directional Long Short-Term Memory (LSTM) Recurrent Neural Networks (RNNs) using uPIT, for single-channel speaker independent multi-talker speech separation in multiple noisy conditions, including both synthetic and real-life noise signals. We focus our experiments on generalizability and noise robustness of models that rely on various types of a priori knowledge e.g. in terms of noise type and number of simultaneous speakers. We show that deep bi-directional LSTM RNNs trained using uPIT in noisy environments can improve the Signal-to-Distortion Ratio (SDR) as well as the Extended Short-Time Objective Intelligibility (ESTOI) measure, on the speaker independent multi-talker speech separation and denoising task, for various noise types and Signal-to-Noise Ratios (SNRs). Specifically, we first show that LSTM RNNs can achieve large SDR and ESTOI improvements, when evaluated using known noise types, and that a single model is capable of handling multiple noise types with only a slight decrease in performance. Furthermore, we show that a single LSTM RNN can handle both two-speaker and three-speaker noisy mixtures, without a priori knowledge about the exact number of speakers. Finally, we show that LSTM RNNs trained using uPIT generalize well to noise types not seen during training.