Miracle-dz/UniFAR-FTUs huggingface dataset:
The Predictive Power of Out-of-School Community and Family Level Demographic Factors on District Level Student Performance on the New Jersey PARCC in Algebra 1 and Grade 10 English Language Arts/Literacy

The Predictive Power of Out-Of-School Community and Family Level Demographic Factors on District Level Student Performance on the New Jersey PARCC in Algebra 1 and Grade 10 English Language Arts/Literacy The purpose of this study was to determine the predictive accuracy of community and family demographic variables, which are found through the use of the 2010 U.S. Census data, on the percentage of students at a district level who are Meeting or Exceeding Expectations on the 2016 New Jersey PARCC in Algebra 1 and Grade 10 English Language Arts/Literacy. The results of this study support the past research and existing literature that has found out-of-school community and family demographics affect and predict how students will perform on state standardized assessments. Based on this study, we can conclude that out certain combinations of out-ofschool variables found in the 2010 U.S. Census can be used to predict with accuracy the percentage of students at a district level who are Meeting or Exceeding Expectations on the 2016 New Jersey PARCC in Algebra 1 and Grade 10 English Language Arts/Literacy.
Wireless Lack of Security: A Case Study Surveying the Access Point Misconfiguration Problem at São Paulo City

This work presents a case study focusing 802.11 wireless networks misconfiguration at Sao Paulo city, Brazil. This study describes the current status of wireless networks security and the vulnerabilities which they are exposed, making an analysis of it. The paper shows how important is to have a well configured network and how relevant data is completely exposed trafficking through the radio waves.
Optimistic Outsourcing of Linear Programming in Cloud Computing Using Stassen's Matrix Multiplication and Sparse Matrix

Cloud Computing has great potential of providing robust computational power to the society at reduced cost. It enables customers with limited computational resources to outsource their large computation workloads to the cloud, and economically enjoy the massive computational power, bandwidth, storage, and even appropriate software that can be shared in a pay-per-use manner. Despite the tremendous benefits, security is the primary obstacle that prevents the wide adoption of this promising computing model, especially for customers when their confidential data are consumed and produced during the computation. we must design mechanisms that not only protect sensitive information by enabling computations with encrypted data, but also protect customers from malicious behaviors by enabling the validation of the computation result. To design mechanisms that are practically efficient remains a very challenging problem. In order to achieve practical efficiency, our mechanism design explicitly decomposes the LP computation outsourcing into public LP solvers running on the cloud and private LP parameters owned by the customer. The resulting flexibility allows us to explore appropriate security/efficiency tradeoff via higher-level abstraction of LP computations than the general circuit representation. In particular, by formulating private data owned by the customer for LP problem as a set of matrices and vectors, we are able to develop a set of some arbitrary one while protecting sensitive input/output information. To validate the computation result, we further explore the fundamental duality theorem of LP computation and derive the necessary and sufficient conditions that correct result must satisfy.
Cognitive auditory evoked potentials in coma: can you hear me?

This scientific commentary refers to ‘Neural detection of complex sound sequences in the absence of consciousness’, by Tzovara et al. (doi:10.1093/brain/awv041). Event related potentials (ERPs), classically measured by EEG, are the electrophysiological brain responses to a stimulus. Somatosensory and auditory ERPs have been used as a non-invasive tool for assessing brain functions and predicting outcomes in disorders of consciousness and coma (for review see Bruno et al. , 2011). While early ERPs (such as the absence of cortical responses on somatosensory-evoked potentials) predict poor outcomes, cognitive ERPs may be indicative of recovery of consciousness after coma (Vanhaudenhuyse et al. , 2008). Auditory cognitive ERPs permit assessment of residual higher-order processing, such as echoic memory (e.g. using mismatch negativity potentials), acoustic and semantic discrimination (e.g. P3 or P300 evoked potentials), and incongruent language detection (e.g. N400 potentials). Classically, these ERP paradigms are based on the detection of a stimulus in violation of an auditory regularity, composed of two neural events, each characterized at the EEG level by a stereotypical morphology and latency: a mismatch negativity followed by a later complex named P300 further divided into an early (P300a) and a late component (P300b). The mismatch negativity is thought to reflect unconscious processing (Daltrozzo et al. , 2009), whereas the P300b has been linked to consciousness (Bekinschtein et al. , 2009). Neither of these ERP components are specific to auditory stimuli and both can be elicited by other sensory modalities. However, auditory cognitive ERPs have been used most extensively in the field of coma because they are easy to deliver and—in contrast to visual ERPs—can be easily acquired in eyes closed conditions. Given the …
Making design probes work

Probes have been adopted with great enthusiasm in both Design and HCI. The heterogeneity with which they have been used in practice reflects how the method has proved elusive for many. Originators and commentators of probes have discussed misinterpretations of the method, highlighting the lack of accounts that describe in detail the design of probes and their use with participants. This paper discusses our particular use of Design Probes as directed craft objects that are both tools for design and tools for exploration across a number of projects, spanning a decade, centered on self-identity and personal significance. In offering an example of what a framework for probe design and use might look like, we attempt to address the identified lacuna, providing a synthetic account of probe design and use over an extended period and conceptualizing the relationship between the properties of probes and their use in design projects.
Event types in the Generative Lexicon: Implications for Persian compound verbs

Compounding is a highly productive phenomenon in Persian and compound verbs have been the subject of several interesting studies in a variety of frameworks. In this paper, I look at a small subset of these verbs and try to capture some of the constraints and generalities involved in the compounding process. The theoretical framework of the paper is the Generative Lexicon (GL) as formalised in Pustejovsky (1995). The goal of the paper is to approach a well-known problem from a new angle and see whether or not the approach taken, namely the GL approach, looks like a promising framework for the analysis of Persian compounds. As it is argued in the paper, this approach proves very promising enabling the researcher to capture numerous intuitions and generalities observed in the phenomenon, although it is acknowledged that a great deal of details remain to be worked out in future research.
Cell Signaling During Trypanosoma cruzi Development in Triatominae

The year 2009 is the centennial anniversary of the original description of Chagas disease by Carlos Chagas. During the last 100 years, several advances have occurred regarding our knowledge of the development of Trypanosoma cruzi and its travel along the gut of Triatominae vectors. We have also witnessed the completion of both the human and parasite genome projects; the genome of one of Chagas disease vectors, Rhodnius prolixus, is currently being sequenced. The development of T. cruzi in triatomine gut relies on several biochemical and molecular processes. The biochemistry of blood digestion and the molecular and biological aspects of parasite development are well known. However, several sig- naling molecules are generated during blood digestion, and their effects on parasite biology are only beginning to be un- derstood. Here, we will summarize our current knowledge in this area with an emphasis on heme and bioactive lipids. In addition, we will highlight some recently described members of the parasite signaling machinery, which were identified through high-throughput studies, but whose ligands are unknown thus far. Finally, we will discuss some potential aspects for future investigation in this area that may strengthen our view of such a concomitant biological process in the next years.
MicroRNA-708-5p acts as a therapeutic agent against metastatic lung cancer

MicroRNAs (miRNAs) have recently been recognized as targets for anti-metastatic therapy against cancer malignancy. Development of effective miRNA mediated therapies remains a challenge to both basic research and clinical practice. Here we presented the evidence for a miR-708-5p mediated replacement therapy against metastatic lung cancer. Expression of miR-708-5p was substantially reduced in metastatic lung cancer samples and cancer cell lines when compared to non-metastatic counterparts. Expression of the miRNA suppressed cell survival and metastasis in vitro through its direct target p21, and inhibited the PI3K/AKT pathway and stem cell-like characteristics of lung cancer cells. Systemic administration of this miRNA in a mouse model of NSCLC using polyethylenimine (PEI)-mediated delivery of unmodified miRNA mimics induced tumor specific apoptosis. It also effectively protected the tested animals from developing metastatic malignancy without causing any observed toxicity. The findings strongly support miR-708-5p as a novel and effective therapeutic agent against metastatic malignancy of non-small cell lung cancer.
Protocol for an app-based affective control training for adolescents: proof-of-principle double-blind randomized controlled trial

Background: 75% of all mental health problems have their onset before the end of adolescence. Therefore, adolescence may be a particularly sensitive time period for preventing mental health problems. Affective control, the capacity to engage with goal relevant and inhibit distracting information in affective contexts, has been proposed as a potential target for prevention. In this study, we will explore the impact of improving adolescents’ affective control capacity on their mental health. Methods: The proof-of-principle double-blind randomized controlled trial will compare the effectiveness of an app-based affective control training (AffeCT) to a placebo training (P-Training) app. In total, 200 (~50% females) adolescents (11-19 years) will train for 14 days on their training app. The AffeCT will include three different n-back tasks: visuospatial, auditory and dual (i.e., including both modalities). These tasks require participants to flexibly engage and disengage with affective and neutral stimuli (i.e., faces and words). The P-Training will present participants with a perceptual matching task. The three versions of the P-Training tasks vary in the stimuli included (i.e., shapes, words and faces). The two training groups will be compared on gains in affective control, mental health, emotion regulation and self-regulation, immediately after training, one month and one year after training. Discussion: If, as predicted, the proposed study finds that AffeCT successfully improves affective control in adolescents, there would be significant potential benefits to adolescent mental health. As a free app, the training would also be scalable and easy to disseminate across a wide range of settings. Trial registration: The trial was registered on December 10th 2018 with the International Standard Randomised Controlled Trial Number (Registration number: ISRCTN17213032).
Biomarkers of the Osteoprotegerin Pathway: Clinical Correlates, Subclinical Disease, Incident Cardiovascular Disease, and Mortality

Objective—Experimental evidence identified the osteoprotegerin (OPG)/receptor activator of nuclear factor–&kgr;B (RANK)/RANK ligand (RANKL) pathway as a candidate system modulating vascular remodeling and cardiovascular disease (CVD). Methods and Results—Serum concentrations of OPG and RANKL were measured in 3250 Framingham Study participants (54% women, 61±9 years). During a mean follow-up of 4.6 years, 143 (of 3084 free of CVD at baseline) participants developed a first CVD event, and 235 died. In multivariable models, OPG was associated with increased hazards for incident CVD and mortality (hazard ratio, 1.27; 95% CI, 1.04 to 1.54; and hazard ratio, 1.25; 95% CI, 1.07 to 1.47, per 1-SD increment in log-OPG, respectively). Log-OPG was positively related to multiple CVD risk factors, including age, smoking, diabetes, systolic blood pressure, and prevalent CVD. In a subsample (n=1264), the prevalence of coronary artery calcification, measured by computed tomography, increased nonsignificantly with OPG quartiles. RANKL concentrations displayed inverse associations with multiple CVD risk factors, including smoking, diabetes, and antihypertensive treatment, and were not related to coronary artery calcification or incident CVD or mortality. Conclusion—Our prospective data reinforce OPG as marker for CVD risk factor burden and predictor for CVD and mortality in the community.
AC-PCA adjusts for confounding variation in transcriptome data and recovers the anatomical structure of neocortex

Microarray and RNA-sequencing technologies have enabled rapid quantification of the transcriptomes in a large number of samples. Although dimension reduction methods are commonly applied to transcriptome datasets for visualization and interpretation of the sample variations, the results can be hindered by confounding factors, either biological or technical. In this study, we propose a Principal Component Analysis-based approach to Adjust for Confounding variation (AC-PCA). We show that AC-PCA can adjust for variations across individual donors present in a human brain exon array dataset. Our approach is able to recover the anatomical structure of neocortex regions, including the frontal-temporal and dorsal-ventral axes, and reveal temporal dynamics of the interregional variation, mimicking the “hourglass” pattern of spatiotemporal dynamics. For gene selection purposes, we extend AC-PCA with sparsity constraints, and propose and implement an efficient algorithm. The top selected genes from this algorithm demonstrate frontal/temporal and dorsal/ventral expression gradients and strong functional conservation.
Effects of a comprehensive self-management programme in patients with chronic obstructive pulmonary disease

The aim of this study was to assess the effects of a comprehensive self-management intervention on health-related quality of life (HRQoL), symptoms and walking distance in patients with stable moderately severe chronic obstructive pulmonary disease (COPD). This study was part of the overall COPD study of the Dept of Pulmonary Medicine,Enschede, which consisted of an inhaled corticosteroid (ICS) trial and a self-management trial. After the ICS trial, all patients were randomised again to a self-management and a control group. The self-management intervention consisted of askill-oriented patient education programme and a near-home fitness programme, on top of usual care. The control group received usual care by the treating chest physician. HRQoL was measured by the St George’s Respiratory Questionnaire (SGRQ) and walking distance by the 6‐min walking test. Patients recorded their symptoms in diaries and graded their health status from 1–10 in a weekly report. Altogether, 248 COPD patients were randomly allocated to either an intervention (127) or control (121) group. No differences in the SGRQ scores within and between both groups were observed over 1 yr. Similarly, no differences in symptom scores and 6‐min walking distance were found within and between groups. The intervention group reported more exacerbations than the control group. The majority (69%) of the exacerbations in the intervention group were self-treated at home. This study failed to show positive effects of a self-management programme among moderately severe chronic obstructive pulmonary disease patients.
ATAM-AR: ATAM-based recovery architecture method

Software architectures are considered one of the main assets within the software companies. However, within organizations, do not usually have adequate descriptive solution. With the aim of having that description has emerged an activity of recovering a software architecture whose main approaches are pointed out to a recovering model from the implemented information and the spreading, particularly the source code, tacit knowledge present in the development team. In this work it is shown as a method of evaluating architectures allows recovery from the tacit knowledge of equipment, allowing not only regain his description but its intention. To evaluate the proposal, it has developed a case study where the ATAM method is used to evaluate and recover the architecture of a file synchronization system in the context of different virtual learning platforms. The case has allowed showing how manages to get the descriptive architecture including its rationale.
Controlling of Mobile Robot by Using of Predictive Controller

I n this paper implementation of Model Predictive Controller on mobile robot was explained. The conducted experiments show effectiveness of the proposed method on control of the mobile robot. Furthermore the effects of the model parameters such as control horizon, prediction horizon, weighting factor and signal filter band on the controller performance were studied. Finally, a comparison between the designed MPC controller and PID and adaptive controllers was presented demonstrating superior performance of the Model Predictive Controllers.
Vocal Imitations and the Identification of Sound Events

It is commonly observed that a speaker vocally imitates a sound that she or he intends to communicate to an interlocutor. We report on an experiment that examined the assumption that vocal imitations can effectively communicate a referent sound and that they do so by conveying the features necessary for the identification of the referent sound event. Participants were required to sort a set of vocal imitations of everyday sounds. The resulting clusters corresponded in most of the cases to the categories of the referent sound events, indicating that the imitations enabled the listeners to recover what was imitated. Furthermore, a binary decision tree analysis showed that a few characteristic acoustic features predicted the clusters. These features also predicted the classification of the referent sounds but did not generalize to the categorization of other sounds. This showed that, for the speaker, vocally imitating a sound consists of conveying the acoustic features important for recognition, within the constraints of human vocal production. As such vocal imitations prove to be a phenomenon potentially useful to study sound identification.
A Functional Heat Shock Protein 90 Chaperone Is Essential for Efficient Flock House Virus RNA Polymerase Synthesis in Drosophila Cells

ABSTRACT The molecular chaperone heat shock protein 90 (Hsp90) is involved in multiple cellular processes including protein maturation, complex assembly and disassembly, and intracellular transport. We have recently shown that a disruption of Hsp90 activity in cultured Drosophila melanogaster cells suppresses Flock House virus (FHV) replication and the accumulation of protein A, the FHV RNA-dependent RNA polymerase. In the present study, we investigated whether the defect in FHV RNA polymerase accumulation induced by Hsp90 suppression was secondary to an effect on protein A synthesis, degradation, or intracellular membrane association. Treatment with the Hsp90-specific inhibitor geldanamycin selectively reduced FHV RNA polymerase synthesis by 80% in Drosophila S2 cells stably transfected with an inducible protein A expression plasmid. The suppressive effect of geldanamycin on protein A synthesis was not attenuated by proteasome inhibition, nor was it sensitive to changes in either the mRNA untranslated regions or protein A intracellular membrane localization. Furthermore, geldanamycin did not promote premature protein A degradation, nor did it alter the extremely rapid kinetics of protein A membrane association. These results identify a novel role for Hsp90 in facilitating viral RNA polymerase synthesis in Drosophila cells and suggest that FHV subverts normal cellular pathways to assemble functional replication complexes.
Cryptanalysis of Modern Cryptographic Algorithms

Cryptography-a word with Greek origin mean " secret writing ". It refers to the science and art of transforming messages to make them secure and immune to attacks. Research on cryptography is still in its developing stages and considerable research effort is required. This paper is devoted to the security and attack aspects of cryptographic techniques. I have discussed the dominant issues of security and various attacks. Finally, I have benchmarked some well-known modern cryptographic algorithms in search for the best compromise in security. I. Introduction Within the context of any application-to-application communication, there are some specific security requirements, including: • Authentication: The process of proving one's identity. (The primary forms of host-to-host authentication on the Internet today are name-based or address-based, both of which are notoriously weak.) • Privacy/confidentiality: Ensuring that no one can read the message except the intended receiver. • Integrity: Assuring the receiver that the received message has not been altered in any way from the original. • Non-repudiation: A mechanism to prove that the sender really sent this message.