Miracle-dz/UniFAR-FTUs huggingface dataset:
PRMT5 is required for cell-cycle progression and p53 tumor suppressor function

Protein arginine methyltransferases (PRMTs) mediate the transfer of methyl groups to arginines in proteins involved in signal transduction, transcriptional regulation and RNA processing. Tumor suppressor p53 coordinates crucial cellular processes, including cell-cycle arrest and DNA repair, in response to stress signals. Post-translational modifications and interactions with co-factors are important to regulate p53 transcriptional activity. To explore whether PRMTs modulate p53 function, we generated multiple cell lines in which PRMT1, CARM1 and PRMT5 are inducibly knocked down. Here, we showed that PRMT5, but not PRMT1 or CARM1, is essential for cell proliferation and PRMT5 deficiency triggers cell-cycle arrest in G1. In addition, PRMT5 is required for p53 expression and induction of p53 targets MDM2 and p21 upon DNA damage. Importantly, we established that PRMT5 knockdown prevents p53 protein synthesis. Furthermore, we found that PRMT5 regulates the expression of translation initiation factor eIF4E and growth suppression mediated upon PRMT5 knockdown is independent of p53 but is dependent on eIF4E. Taken together, we uncovered that arginine methyltransferase PRMT5 is a major pro-survival factor regulating eIF4E expression and p53 translation.
Rotation Scale Invariant Semi Blind Biometric Watermarking Technique for Colour Image

This paper presents a rotation scale invariant digital color image watermarking technique using Scale Invariant Feature Transform (SIFT) which is invariant to geometric transformation. The image descriptors extracted using SIFT transform of original image and watermarked image are used for estimating the scaling factor and angle of rotation of attacked image. Using estimated factors attacked image is then restored to its original size for synchronization purpose. As a result of synchronization, watermark detection is done correctly. In proposed approach the offline signature, which is a biometric characteristics of owner is embedded in second level detailed coefficients of discrete wavelet transform of cover image. The simulation results show that the algorithm is robust against signal processing and geometric attack. Index Terms — Biometric watermarking, Bi-Orthogonal wavelet , geometric attacks, SIFT
Employee well-being: A multilevel model linking work and nonwork domains

In this article, we review recent methodological developments that have enabled conceptual advances addressing intraindividual processes leading to psychological well-being. We contend that the introduction of dynamic assessment methodologies for sampling experiences, feelings, and behaviours on and off the job, together with the implementation of multilevel modelling strategies in organizational research on well-being, should lead to the development of richer models of employee well-being (compared to existing theoretical models). Accordingly, we develop a model of employee well-being that considers both personal and situational predictors, and both work and nonwork well-being indicators, as well as the real-time relationships between well-being antecedents and indicators across these two life spheres.
Revised Kuppuswamy and B G Prasad socio-economic scales for 2016

Background: Socio-economic scales are integral part in the assessment of social class of an individual/family, which can have an influence on disease causing factors. It is also vital for consideration when customising health education to the target audience. Socio-economic scales are dependent on evaluation of income and need to be updated with changing consumer price index. The objective of the study was to revise the socio-economic scales of Kuppuswamy and B G Prasad, taking into consideration the revision in consumer price index (industrial workers) . Methods: The socio-economic scales were revised on the basis of updated CPI (IW) for the month of August 2016, using an online tool . Results: The updated Kuppuswamy and B G Prasad scales for the year 2016 were obtained using revised CPI (IW) and a simple online tool . Conclusions: Regular updating of socio-economic scales which depend on income and are therefore susceptible to changes, due to revisions in consumer price index, is necessary to maintain the validity of these scales, which are used widely in community surveys and social studies .
Influence of the symptoms of Attention Deficit Hyperactivity Disorder (ADHD) and comorbid disorders on functioning in adulthood.

BACKGROUND ADHD is a chronic disorder that generally has a negative effect on socio-personal adaptation. The objectives of the current study were to examine the adaptive functioning in the daily lives of adults with ADHD compared to adults without the disorder and to test the influence of ADHD symptoms and comorbid problems on different areas of adaptive functioning. METHOD Seventy-seven adults between 17 and 24 years old, 40 with a clinical diagnosis of combined-subtype ADHD in childhood and 37 controls, filled out the Weiss Functional Impairment Scale, the Weiss Symptom Record and Conners' Adult ADHD Rating Scale. RESULTS Significant differences were found between adults with and without ADHD in family and academic functioning. Moreover, the ADHD symptomatology as a whole predicted significant deficiencies in the family environment and self-concept, whereas inattention specifically predicted worse academic performance and life skills. The comorbidities mainly affected the family and risky activity domains (dangerous driving, illegal behaviors, substance misuse and sexually inappropriate behaviors). CONCLUSIONS The results illustrate the importance of developing a multimodal approach to helping ADHD adults cope with associated comorbid disorders, offering them supportive coaching in organizing daily activities, and incorporating the family and/or partner in the treatment plan.
Secure Execution of Mutually Mistrusting Software

Commodity operating systems, e.g. Linux and Android, running on PC or smartphone, are ubiquitous in home, commercial, government, and military settings. The booming popularity of PC and smartphone makes the commodity operating system an attractive target for attacks. These system s are tasked with a variety of applications, e.g. from secure software provided by trusted enterprises to regular applic ations including games and web browsers downloaded from untrusted third-party website. Since PC and smartphone are used both for working and entertainment, both trusted and untrusted applications ar e installed on the same commodity operating system. The complex interface between malicious applications and the oper ating system kernel makes the latter one vulnerable to malware. The compromised untrusted operating system is able to break both privacy and integrity of secure applications. The user mode secure application is not tamper-resistant an d immune to the privileged malicious operating system kernel . Various methods have been proposed to execute mutually mistrusting software on commodity operating systems. In this talk, we divide the state of the art research papers in to three classes. First, we discuss how to protect the secure ap plication from the untrusted operating system. Second, we discuss the isolation of untrusted application from the benign operating system. Third, we discuss how to remove the trust relationship between application and operating syst em, that is, neither application nor operating system trust eac h other. We finally propose a framework for the secure execution of sensitive code on ARM architecture with TrustZone technology. Research Proficiency Exam Report , August, 2014, Stony Brook, NY, USA.
Time-Domain Equalization Technique for Intercarrier Interference Suppression in OFDM Systems

Orthogonal frequency division multiplexing (OFDM) is a modern high data rate modulation technique for wireless communication systems. Due to loss of orthogonality of subcarriers intercarrier interference occurs. In this paper the performance of the proposed time-domain equalization technique is compared with the existing frequency domain equalization technique. In frequency domain equalization a correlative polynomial is used in the frequency domain to suppress the ICI. In time domain equalization technique, a window function is proposed in equivalent to the correlative polynomial used in the frequency domain. MATLAB simulation of the proposed technique shows that the time domain windowing scheme achieves better performance in ICI suppression compared to the correlative coding technique. Time domain windowing technique proposed in this paper, offers better carrier to interference ratio (CIR) and BER is reduced compared to the correlative coding method.
Toa: A Web Based Network Flow Data Monitoring System at Scale

We present Toa, a web-based Network Flow data monitoring system (NMS). Toa consists of a collection of scripts that automatically parse network flow data, store this information in a database system, and generate interactive time line charts for network visualization analytics. The system is pseudo real time, meaning that it continuously updates the interactive charts from network flow data that is generated every five minutes. Toa also provides an interface to generate customized charts from the data stored in the database, and plugins that connect the visualization charts with the network flow data file for more in depth visualizations and analysis. The Toa web GUI presents users with the following network traffic visualization options: (1) per network label (interface, Autonomous System [AS], or network block) traffic, (2) per-port traffic for each network label, (3) network label to network label traffic, (4) customized charts from the database data, and (5) plugins for in-depth analysis of the network flow data file.
Using Relations to Index Biological Document Repositories for Efficient Searching

In this paper we propose a rule-based mechanism using Natural Language Processing techniques for extracting biological relations from biomedical text documents. While the rules identify frequently occurring patterns that can be potential relations, significant relations are identified using statistical analysis. Evaluation of the technique has been done on MEDLINE abstracts obtained from the GENIA corpus. Results indicate that our technique has good potential for other text mining applications also. Preliminary analysis shows that indexing biomedical documents on these relations can facilitate high precision document retrieval.
The NAL-NL2 Prescription Procedure

NAL-NL2 is the second generation of prescription procedures from The National Acoustic Laboratories (NAL) for fitting wide dynamic range compression (WDRC) instruments. Like its predecessor NALNL1 (Dillon, 1999), NAL-NL2 aims at making speech intelligible and overall loudness comfortable. This aim is mainly driven by a belief that these factors are most important for hearing aid users, but is also driven by the fact that less information is available about how to adjust gain to optimise other parameters that affect prescription such as localisation, tonal quality, detection of environmental sounds, and naturalness. In both formulas, the objective is achieved by combining a speech intelligibility model and a loudness model in an adaptive computer- controlled optimisation process. Adjustments have further been made to the theoretical component of NAL-NL2 that are directed by empirical data collected during the past decade with NAL-NL1. In this paper, the data underlying NAL-NL2 and the derivation procedure are presented, and the main differences from NAL-NL1 are outlined.
A Spot Segmentation Approach for 2D Gel Electrophoresis Images Based on 2D Histograms

Spot-Segmentation, an essential stage of processing 2D gel electrophoresis images, remains a challenging process. The available software programs and techniques fail to separate overlapping protein spots correctly and cannot detect low intensity spots without human intervention. This paper presents an original approach to spot segmentation in 2D gel electrophoresis images. The proposed approach is based on 2D-histograms of the aforementioned images. The conducted experiments in a set of 16-bit 2D gel electrophoresis images demonstrate that the proposed method is very effective and it outperforms existing techniques even when it is applied to images containing several overlapping spots as well as to images containing spots of various intensities, sizes and shapes.
TrkB and Neurotrophin-4 Are Important for Development and Maintenance of Sympathetic Preganglionic Neurons Innervating the Adrenal Medulla

The adrenal medulla receives its major presynaptic input from sympathetic preganglionic neurons that are located in the intermediolateral (IML) column of the thoracic spinal cord. The neurotrophic factor concept would predict that these IML neurons receive trophic support from chromaffin cells in the adrenal medulla. We show here that adrenal chromaffin cells in the adult rat store neurotrophin (NT)-4, but do not synthesize or store detectable levels of BDNF or NT-3, respectively. Preganglionic neurons to the adrenal medulla identified by retrograde tracing with fast blue or Fluoro-Gold (FG) express TrkB mRNA. After unilateral destruction of the adrenal medulla, 24% of IML neurons, i.e., all neurons that are preganglionic to the adrenal medulla in spinal cord segments T7–T10, disappear. Administration of NT-4 in gelfoams (6 μg) implanted into the medullectomized adrenal gland rescued all preganglionic neurons as evidenced by their presence after 4 weeks. NT-3 and cytochrome C were not effective. The action of NT-4 is accompanied by massive sprouting of axons in the vicinity of the NT-4 source as monitored by staining for acetylcholinesterase and synaptophysin immunoreactivity, suggesting that NT-4 may enlarge the terminal field of preganglionic nerves and enhance their access to trophic factors. Analysis of TrkB-deficient mice revealed degenerative changes in axon terminals on chromaffin cells. Furthermore, numbers of FG-labeled IML neurons in spinal cord segments T7–T10 of NT-4-deficient adult mice were significantly reduced. These data are consistent with the notion that NT-4 from chromaffin cells operates through TrkB receptors to regulate development and maintenance of the preganglionic innervation of the adrenal medulla.
Starch synthase 4 is essential for coordination of starch granule formation with chloroplast division during Arabidopsis leaf expansion

Arabidopsis thaliana mutants lacking the SS4 isoform of starch synthase have strongly reduced numbers of starch granules per chloroplast, suggesting that SS4 is necessary for the normal generation of starch granules. To establish whether it plays a direct role in this process, we investigated the circumstances in which granules are formed in ss4 mutants. Starch granule numbers and distribution and the accumulation of starch synthase substrates and products were investigated during ss4 leaf development, and in ss4 mutants carrying mutations or transgenes that affect starch turnover or chloroplast volume. We found that immature ss4 leaves have no starch granules, but accumulate high concentrations of the starch synthase substrate ADPglucose. Granule numbers are partially restored by elevating the capacity for glucan synthesis (via expression of bacterial glycogen synthase) or by increasing the volumes of individual chloroplasts (via introduction of arc mutations). However, these granules are abnormal in distribution, size and shape. SS4 is an essential component of a mechanism that coordinates granule formation with chloroplast division during leaf expansion and determines the abundance and the flattened, discoid shape of leaf starch granules.
The Role of Organizational Learning Culture and Psychological Empowerment in Reducing Turnover Intention and Enhancing Citizenship Behavior.

Purpose The purpose of this paper is to examine the association among organizational learning culture (OLC), psychological empowerment (PE), affective commitment (AC), organizational citizenship behavior and turnover intention. Design/methodology/approach This study was undertaken via a questionnaire conducted among Malay-Chinese working in banking and insurance sector of Malaysia. Findings PE and OLC were found to influence employee’s citizenship behavior toward their organization and turnover intention. In addition, AC was found to perform the role of mediator between them. Research Limitations/implications The study used self-reported data based on a cross-sectional survey. The study has implications for the managers. Practical Implications OLC and PE were found to influence turnover intention directly and indirectly, providing an avenue of approach for managers to retain its key employees. Originality/value The paper examines the consequences of OLC and PE, neglected variables along with the mediation of AC.
A new species of Litoria (Anura: Hylidae) with a highly distinctive tadpole from the north-western Kimberley region of Western Australia

We describe a small hylid frog species with a highly distinctive tadpole from the Kimberley region of northern Western Australia. The new taxon is morphologically very similar to Litoria meiriana but can be differentiated using a combination of adult and larval morphology and male calls. Tadpoles of the new taxon can be readily differentiated from those of L. meiriana by their unique black, gold and red pigment patterns and the continuous papillary border around the oral disc. Advertisement calls of L. aurifera sp. nov. are longer, have more pulses, have more marked frequency modulation and are produced at a lower rate than those of L. meiriana. Litoria aurifera sp. nov. is only known from locations up to about 100 km south of the Prince Regent River and is associated with small creeks on massive sandstone escarpments, while L. meiriana is widespread in escarpments across northern Western Australia and the northern part of the Northern Territory.
Measuring Banks' Automated Service Quality: A Re-Examination and Extension in an Islamic Country

This study seeks to discover the answer to this question by reviewing the literature and other studies in Iran and other countries: What factors are the main factors in customer satisfaction of electronic banking services in Iran? The main objective of this paper is investigating and studying the most important factors in the field of e-banking services in a islamic country and customer 's evaluation of the electronic banking services. The authors validate a measurement model for customer satisfaction evaluation in e-banking service quality based on different service quality models and theories such as Technology Acceptance Model (TAM), Theory of Reasoned Action (TRA) and Theory of Planned Behavior (TPB). This paper provides a model with 7 factors on the following dimensions: convenience, accessability, accuracy, security, usefulness, bank image and web site design. Some of these factors have a significant statistical difference between males and females. These dimensions are determinants of customer 's quality perception in e-banking services and this paper presents new directions in a service quality research and offers new directions to researchers and managers in providing service quality improvement.
Fast outlier detection using a GPU

The availability of cost-effective data collections and storage hardware has allowed organizations to accumulate very large data sets, which are a potential source of previously unknown valuable information. The process of discovering interesting patterns in such large data sets is referred to as data mining. Outlier detection is a data mining task consisting in the discovery of observations which deviate substantially from the rest of the data, and has many important practical applications. Outlier detection in very large data sets is however computationally very demanding and currently requires highperformance computing facilities. We propose a family of parallel algorithms for Graphic Processing Units (GPU), derived from two distance-based outlier detection algorithms: the BruteForce and the SolvingSet. We analyze their performance with an extensive set of experiments, comparing the GPU implementations with the base CPU versions and obtaining significant speedups.
Property Preserving Abstraction for Software Verification – A Case Study

In this paper we present a technique to compute abstract models for formal and automatic system verification. The method reduces the state space by eliminating those parts of a system model which are not required to check a property. We introduce the method and illustrate it by a case study from an automotive application. We modelled a part of the comfort system of a Volkswagen car and verified two properties by calculating abstract models and analysing them with the model checker SMV. We show the gain of our method by comparing the state spaces of the precise and the abstract models.
Enhancement of in vitro and in vivo antigen-specific antibody responses by interleukin 11

The availability of large quantities of highly purified recombinant interleukin 11 (rhuIL-11) has allowed us to investigate the effects of rhuIL-11 on sheep red blood cell (SRBC)-specific antibody responses in the murine system. The results showed that rhuIL-11 was effective in enhancing the generation of mouse spleen SRBC-specific plaque-forming cells (PFC) in the in vitro cell culture system in a dose-dependent manner. These effects of rhuIL-11 were abrogated completely by the addition of anti-rhuIL-11 antibody, but not by the addition of preimmunized rabbit serum. Cell-depletion studies revealed that L3T4 (CD4)+ T cells, but not Lyt-2 (CD8)+ T cells, are required in the rhuIL- 11-stimulated augmentation of SRBC-specific antibody responses. The effects of rhuIL-11 on the SRBC-specific antibody responses in vivo were also examined. RhuIL-11 administration to normal C3H/HeJ mice resulted in a dose-dependent increase in the number of spleen SRBC- specific PFC as well as serum SRBC-specific antibody titer in both the primary and secondary immune responses. In mice immunosuppressed by cyclophosphamide treatment, rhuIL-11 administration significantly augmented the number of spleen SRBC-specific PFC as well as serum SRBC- specific antibody titer when compared with the cyclophosphamide-treated mice without IL-11 treatment. These results demonstrated that IL-11 is a novel cytokine involved in modulating antigen-specific antibody responses in vitro as well as in vivo.