Miracle-dz/UniFAR-FTUs huggingface dataset:
Ancient DNA from Nubian and Somali wild ass provides insights into donkey ancestry and domestication

Genetic data from extant donkeys (Equus asinus) have revealed two distinct mitochondrial DNA haplogroups, suggestive of two separate domestication events in northeast Africa about 5000 years ago. Without distinct phylogeographic structure in domestic donkey haplogroups and with little information on the genetic makeup of the ancestral African wild ass, however, it has been difficult to identify wild ancestors and geographical origins for the domestic mitochondrial clades. Our analysis of ancient archaeological and historic museum samples provides the first genetic information on the historic Nubian wild ass (Equus africanus africanus), Somali wild ass (Equus africanus somaliensis) and ancient donkey. The results demonstrate that the Nubian wild ass was an ancestor of the first donkey haplogroup. In contrast, the Somali wild ass has considerable mitochondrial divergence from the Nubian wild ass and domestic donkeys. These findings resolve the long-standing issue of the role of the Nubian wild ass in the domestication of the donkey, but raise new questions regarding the second ancestor for the donkey. Our results illustrate the complexity of animal domestication, and have conservation implications for critically endangered Nubian and Somali wild ass.
FPGA-Based Low-Power Speech Recognition with Recurrent Neural Networks

In this paper, a neural network based real-time speech recognition (SR) system is developed using an FPGA for very low-power operation. The implemented system employs two recurrent neural networks (RNNs), one is a speech-tocharacter RNN for acoustic modeling (AM) and the other is for character-level language modeling (LM). The system also employs a statistical word-level LM to improve the recognition accuracy. The results of the AM, the character-level LM, and the word-level LM are combined using a fairly simple N-best search algorithm instead of the hidden Markov model (HMM) based network. The RNNs are implemented using massively parallel processing elements (PEs) for low latency and high throughput. The weights are quantized to 6 bits to store all of them in the on-chip memory of an FPGA. The proposed algorithm is implemented on a Xilinx XC7Z045, and the system can operate much faster than real-time.
A context-aware authentication service for smart homes

The rapid increase of Internet of Things (IoT) devices will have a significant impact on people's daily life, providing a wide range of services, such as smart lights, door locks, and cameras remotely controlled by smartphones. Remote access within the same environment or via the Internet requires effective authentication and authorization mechanisms beyond those provided by static authentication methods. We believe a dynamic authentication mechanism for mobile users is needed to protect against unauthorized access. This paper proposes a context-aware authentication service for mobile users in Smart Home environments. The service we have designed and implemented provides secure and flexible access to local as well as remote users, as demonstrated by the evaluation results.
A Study Of Cyber Security Challenges And Its Emerging Trends On Latest Technologies

Cyber Security plays an important role in the field of information technology . Securing the information have become one of the biggest challenges in the present day. When ever we think about the cyber security the first thing that comes to our mind is ‘cyber crimes’ which are increasing immensely day by day. Various Governments and companies are taking many measures in order to prevent these cyber crimes. Besides various measures cyber security is still a very big concern to many. This paper mainly focuses on challenges faced by cyber security on the latest technologies . It also focuses on latest about the cyber security techniques, ethics and the trends changing the face of cyber security.
Immunomodulatory Effect of Linezolid on Methicillin-Resistant Staphylococcus aureus Supernatant-Induced MUC5AC Overexpression in Human Airway Epithelial Cells

ABSTRACT Linezolid is the first member of the oxazolidinones and is active against drug-resistant Gram-positive pathogens, such as methicillin-resistant Staphylococcus aureus (MRSA). Additionally, linezolid shows an immunomodulatory effect, such as inhibition of inflammatory cytokine production. In this study, we examined the effect of linezolid on MRSA-induced MUC5AC overexpression in airway epithelial cells. In this study, an MRSA supernatant was used to avoid the direct effect of linezolid on MRSA. MUC5AC protein production was significantly increased with a 40-fold dilution of MRSA supernatant. At the mRNA level, MUC5AC gene expression was significantly increased 6 and 9 h after stimulation. In an inhibition study, linezolid significantly reduced MRSA-induced MUC5AC protein and mRNA overexpression at concentrations of 5 and 20 μg/ml, which were the same as the trough and peak concentrations in human epithelial lining fluid. In an analysis of cell signaling, among the mitogen-activated protein kinase inhibitors, only the extracellular signal-regulated protein kinase 1/2 (ERK1/2) inhibitor reduced the MUC5AC protein production to the same level as that of the control; on Western blot analysis, only ERK1/2 was phosphorylated by the MRSA supernatant. In addition, the ERK1/2 phosphorylation was inhibited by linezolid. MUC5AC and MUC5B are the major barrier that traps inhaled microbial organisms, particulates, and foreign irritants. However, in patients with chronic respiratory diseases, pathogen-induced MUC5AC overexpression causes many problems, and control of the overexpression is important. Thus, this study revealed that linezolid showed a direct immunomodulatory effect in airway epithelial cells.
VisiSploit: An Optical Covert-Channel to Leak Data through an Air-Gap

In recent years, various out-of-band covert channels have been proposed that demonstrate the feasibility of leaking data out of computers without the need for network connectivity. The methods proposed have been based on different type of electromagnetic, acoustic, and thermal emissions. However, optical channels have largely been considered less covert: because they are visible to the human eye and hence can be detected, they have received less attention from researchers. In this paper, we introduce VisiSploit, a new type of optical covert channel which, unlike other optical methods, is also stealthy. Our method exploits the limitations of human visual perception in order to unobtrusively leak data through a standard computer LCD display. Our experiments show that very low contrast or fast flickering images which are invisible to human subjects, can be recovered from photos taken by a camera. Consequentially, we show that malicious code on a compromised computer can obtain sensitive data (e.g., images, encryption keys, passwords), and project it onto a computer LCD screen, invisible and unbeknownst to users, allowing an attacker to reconstruct the data using a photo taken by a nearby (possibly hidden) camera. In order to demonstrate the feasibility of this type of attack and evaluate the channel's stealth, we conducted a battery of tests with 40 human subjects. We also examined the channel's boundaries under various parameters, with different types of encoded objects, at several distances, and using several kinds of cameras. Our results show that binary data can be leaked via our covert channel. Further research and discussion may widen the scope of this field beyond its current boundaries, yielding novel attack paradigms that exploit the subtle mechanisms of human visual perception.
Verifying Session Level Pronunciation Accuracy in a Speech Therapy Application

This paper investigates the problem of verifying the pronunci-ations of phonemes from continuous utterances collected from impaired children speakers engaged in a speech therapy session. A new pronunciation veriﬁcation (PV) approach based on the subspace Gaussian mixture model (SGMM) is presented. A single SGMM is trained from test utterances collected from impaired and unimpaired speakers. PV measures are derived from model space based distances estimated from impaired and unimpaired speaker dependent SGMM parameters. The PV performance is presented in terms of the method’s ability to detect and report phone level pronunciation errors for an entire speech therapy session and for individual phoneme occurrences. Compar-isons are made with respect to an approach using phone level conﬁdence measures estimated from lattice posterior probabilities.
Negative effects of restricted sleep on facial appearance and social appeal

The importance of assessing evolutionarily relevant social cues suggests that humans should be sensitive to others' sleep history, as this may indicate something about their health as well as their capacity for social interaction. Recent findings show that acute sleep deprivation and looking tired are related to decreased attractiveness and health, as perceived by others. This suggests that one might also avoid contact with sleep-deprived, or sleepy-looking, individuals, as a strategy to reduce health risk and poor interactions. In this study, 25 participants (14 females, age range 18–47 years) were photographed after 2 days of sleep restriction and after normal sleep, in a balanced design. The photographs were rated by 122 raters (65 females, age range 18–65 years) on how much they would like to socialize with the participants. They also rated participants' attractiveness, health, sleepiness and trustworthiness. The results show that raters were less inclined to socialize with individuals who had gotten insufficient sleep. Furthermore, when sleep-restricted, participants were perceived as less attractive, less healthy and more sleepy. There was no difference in perceived trustworthiness. These findings suggest that naturalistic sleep loss can be detected in a face and that people are less inclined to interact with a sleep-deprived individual.
Functioning status of adult children of depressed parents: a 23-year follow-up

Background We compared adult offspring of depressed or control parents who were followed for 23 years. Comparisons were on depression symptoms, physical functioning and disability, social functioning, and utilization of help and coping. Also examined was whether the parent's course of depression (stably remitted, partially remitted, non-remitted) was associated with offspring functioning. Method Depressed parents successfully followed at 23 years (n=248, 82%) identified 215 adult offspring; 67% returned questionnaires. Matched control parents successfully followed (n=235, 79%) identified 261 adult offspring; 68% completed questionnaires. Results Adult offspring of depressed parents were more impaired than adult offspring of controls (with gender and education controlled) in the domains of depression and disability, and obtained more help for mental health problems. They also reported more severe recent stressors and relied more on active cognitive coping and seeking alternative rewards to cope. Adult offspring of depressed and control parents were comparable in a number of domains: psychiatric and behavioral problems other than depression, physical functioning and pain, social functioning, and hospitalizations and medication use for depression. Adult offspring of parents with a non-remitted course of depression were the most likely to show impaired functioning compared with controls. Conclusions Having a parent with depression is associated with more depression and disability in adulthood, but does not have debilitating effects in other life domains. Nonetheless, it may be important for offspring of depressed parents, particularly offspring of parents with a non-remitting depression course, to recognize their elevated risk of depression and potential need for help.
Impact of trisomy 8 on expression of genes located on chromosome 8 in different AML subgroups

Trisomy 8 is the most frequently observed trisomy in acute myeloid leukemia (AML) occurring as a sole karyotype abnormality or in addition to other chromosome aberrations. It was the aim of this study to analyze the impact of trisomy 8 on the expression of genes located on chromosome 8 in distinct AML subgroups characterized by different chromosome abnormalities in addition to trisomy 8. Gene expression analyses were performed on a total of 567 AML cases comprising the following subgroups: +8 sole, +8 within a complex aberrant karyotype, +8 in addition to t(15;17), inv(16), t(8;21), 11q23/MLL, or other abnormalities, AML with normal karyotype and the before mentioned subgroups without trisomy 8. A significant higher mean expression of genes located on chromosome 8 was observed in subgroups with +8 in comparison to their respective control groups. A varying number of significantly higher expressed genes was identified in all comparisons. No gene was significantly overexpressed in all comparisons, and no distinct gene expression pattern was identified allowing the identification of cases with trisomy 8. In conclusion, the gain of chromosome 8 leads to a higher expression of genes located on chromosome 8. However, no consistent pattern of genes was identified, which shows a higher expression in all AML subtypes with trisomy 8. These data suggest that trisomy 8 rather provides a platform for a higher expression of chromosome 8 genes which are individually up‐regulated by the respective primary genetic abnormalities. Therefore, trisomy 8 in AML determines no specific disease characteristic but is a disease modulating secondary event. © 2006 Wiley‐Liss, Inc.
Identification and Functional Characterization of Novel Phosphorylation Sites in TAK1-Binding Protein (TAB) 1

TAB1 was defined as a regulatory subunit of the protein kinase TAK1, which functions upstream in the pathways activated by interleukin (IL)-1, tumor necrosis factor (TNF), toll-like receptors (TLRs) and stressors. However, TAB1 also functions in the p38 MAPK pathway downstream of TAK1. We identified amino acids (aa) 452/453 and 456/457 of TAB1 as novel sites phosphorylated by TAK1 as well as by p38 MAPK in intact cells as well as in vitro. Serines 452/453 and 456/457 were phosphorylated upon phosphatase blockade by calyculin A, or in response to IL-1 or translational stressors such as anisomycin and sorbitol. Deletion or phospho-mimetic mutations of aa 452–457 of TAB1 retain TAB1 and p38 MAPK in the cytoplasm. The TAB1 mutant lacking aa 452–457 decreases TAB1-dependent phosphorylation of p38 MAPK. It also enhances TAB1-dependent CCL5 secretion in response to IL-1 and increases activity of a post-transcriptional reporter gene, which contains the CCL5 3′ untranslated region. These data suggest a complex role of aa 452–457 of TAB1 in controlling p38 MAPK activity and subcellular localization and implicate these residues in TAK1- or p38 MAPK-dependent post-transcriptional control of gene expression.
Wisely Using a Budget for Crowdsourcing

The problem of “approximating the crowd” is that of estimating the crowd’s majority opinion by querying only a subset of it. Algorithms that approximate the crowd can intelligently stretch a limited budget for a crowdsourcing task. We present an algorithm, “CrowdSense,” that works in an online fashion where examples come one at a time. CrowdSense dynamically samples subsets of labelers based on an exploration/exploitation criterion. The algorithm produces a weighted combination of a subset of the labelers’ votes that approximates the crowd’s opinion. We then introduce two variations of CrowdSense that make various distributional assumptions to handle distinct crowd characteristics. In particular, the first algorithm makes a statistical independence assumption of the probabilities for large crowds, whereas the second algorithm finds a lower bound on how often the current sub-crowd agrees with the crowd majority vote. Our experiments on CrowdSense and several baselines demonstrate that we can reliably approximate the entire crowd’s vote by collecting opinions from a representative subset of the crowd.
Early rebleeding after coiling of ruptured cerebral aneurysms: incidence, morbidity, and risk factors.

BACKGROUND AND PURPOSE The purpose of this study was to assess the incidence of early rebleeding after coiling of a ruptured cerebral aneurysm, assess the clinical outcome, and identify risk factors for this event. METHODS Early rebleedings occurred in 6/431 (1.4%) consecutive patients after coiling of a ruptured aneurysm. Clinical condition at the time of treatment, aneurysm location and size, initial aneurysm occlusion, timing of coiling, and the presence of an adjacent intracerebral hematoma in the six patients with early rebleedings were compared with the remaining 425 patients. RESULTS Incidence of early rebleeding after coiling of a ruptured aneurysm was 1.4%, and mortality was 100%. Independent risk factors are the presence of an adjacent intracerebral hematoma and small aneurysm size. Dependent risk factors are location on the anterior communicating artery, initial incomplete aneurysm occlusion, and poor clinical condition at the time of treatment. CONCLUSION Early rebleeding after coiling of ruptured aneurysms is a major concern, in particular because the mortality is very high. A more restricted postembolization anticoagulation strategy in high-risk aneurysms may possibly prevent the occurrence of this devastating event.
High‐throughput profiling of the mitochondrial proteome using affinity fractionation and automation

Recent studies have demonstrated the need for complementing cellular genomic information with specific information on expressed proteins, or proteomics, since the correlation between the two is poor. Typically, proteomic information is gathered by analyzing samples on two‐dimensional gels with the subsequent identification of specific proteins of interest by using trypsin digestion and mass spectrometry in a process termed peptide mass fingerprinting. These procedures have, as a rule, been labor‐intensive and manual, and therefore of low throughput. The development of automated proteomic technology for processing large numbers of samples simulataneously has made the concept of profiling entire proteomes feasible at last. In this study, we report the initiation of the (eventual) complete profile of the rat mitochondrial proteome by using high‐throughput automated equipment in combination with a novel fractionation technique using minispin affinity columns. Using these technologies, approximately one hundred proteins could be identified in several days. In addition, separate profiles of calcium binding proteins, glycoproteins, and hydrophobic or membrane proteins could be generated. Because mitochondrial dysfunction has been implicated in numerous diseases, such as cancer, Alzheimer's disease and diabetes, it is probable that the identification of the majority of mitochondrial proteins will be a beneficial tool for developing drug and diagnostic targets for associated diseases.
Action selection and refinement in subcortical loops through basal ganglia and cerebellum

Subcortical loops through the basal ganglia and the cerebellum form computationally powerful distributed processing modules (DPMs). This paper relates the computational features of a DPM's loop through the basal ganglia to experimental results for two kinds of natural action selection. First, functional imaging during a serial order recall task was used to study human brain activity during the selection of sequential actions from working memory. Second, microelectrode recordings from monkeys trained in a step-tracking task were used to study the natural selection of corrective submovements. Our DPM-based model assisted in the interpretation of puzzling data from both of these experiments. We come to posit that the many loops through the basal ganglia each regulate the embodiment of pattern formation in a given area of cerebral cortex. This operation serves to instantiate different kinds of action (or thought) mediated by different areas of cerebral cortex. We then use our findings to formulate a model of the aetiology of schizophrenia.
Towards an indexing method to speed-up music retrieval

Computations in most music retrieval systems strongly depend on the size of data compared. We propose to enhance performances of a music retrieval system, namely a harmonic similarity evaluation method, by first indexing relevant parts of music pieces. The indexing algorithm represents each audio piece exclusively by its major repetition, using harmonic descriptions and string matching techniques. Evaluations are performed in the context of a state-of-the-art retrieval method, namely cover songs identification, and results highlight the success of our indexing system in keeping similar results while yielding a substantial gain in computation time.
Comparison of EDAC schemes for DDR memory in space applications

DDR memory used for data storage in space applications is subjected to different errors. These errors are caused by various perturbations such as cosmic radiations, solar radiations, galactic noise, electromagnetic radiations and extreme temperature in space, which can corrupt the data stored in the DDR memory. Error detection techniques allow detecting such errors, while error correction enables reconstruction of the original data. These error detection and correction techniques enable reliable delivery of digital data over an unreliable communication channel. This paper focuses on the comparative analysis of various EDAC schemes for space applications. The analysis is done on the basis of time complexity, space complexity, error correction and detection capabilities, code rate and bit overhead. This paper includes comparison of Hamming, Hadamard, Golay, Repetition, Berger, Single Parity, Four Dimensional Parity, BCH and Reed Solomon Codes. It is concluded that 4D parity codes are best suited for DDR memories in space applications, since they are easier to implement and have highest code rate to bit overhead ratio.
Clean Transfer of Large Graphene Single Crystals for High‐Intactness Suspended Membranes and Liquid Cells

The atomically thin 2D nature of suspended graphene membranes holds promising in numerous technological applications. In particular, the outstanding transparency to electron beam endows graphene membranes great potential as a candidate for specimen support of transmission electron microscopy (TEM). However, major hurdles remain to be addressed to acquire an ultraclean, high‐intactness, and defect‐free suspended graphene membrane. Here, a polymer‐free clean transfer of sub‐centimeter‐sized graphene single crystals onto TEM grids to fabricate large‐area and high‐quality suspended graphene membranes has been achieved. Through the control of interfacial force during the transfer, the intactness of large‐area graphene membranes can be as high as 95%, prominently larger than reported values in previous works. Graphene liquid cells are readily prepared by π–π stacking two clean single‐crystal graphene TEM grids, in which atomic‐scale resolution imaging and temporal evolution of colloid Au nanoparticles are recorded. This facile and scalable production of clean and high‐quality suspended graphene membrane is promising toward their wide applications for electron and optical microscopy.