Miracle-dz/UniFAR-FTUs huggingface dataset:
Modulation-Specific Multiuser Transmit Precoding and User Selection for BPSK Signalling

Motivated by challenges to existing multiuser transmission methods in a low signal to noise ratio (SNR) regime, and emergence of massive numbers of low data rate ehealth and internet of things (IoT) devices, in this paper we show that it is beneficial to incorporate knowledge of modulation type into multiuser transmit precoder design. Particularly, we propose a transmit precoding (beamforming) specific to BPSK modulation, which has maximum power efficiency and capacity in poor channel conditions. To be more specific, in a multiuser scenario, an objective function is formulated based on the weighted sum of error probabilities of BPSK modulated users. Convex optimization is used to transform and solve this ill-behaved non-convex minimum probability of error (MPE) precoding problem. Numerical results confirm significant performance improvement. We then develop a low-complexity user selection algorithm for MPE precoding. Based on line packing principles in Grassmannian manifolds, the number of supported users is able to exceed the number of transmit antennas, and hence the proposed approach is able to support more simultaneous users compared with existing multiuser transmit precoding methods.
Energy efficient node disjoint multipath routing to improve wireless sensor network lifetime

Some of the major challenges confronting wireless sensor networks are usually associated with scarcity of energy and resource limitations. In order to achieve efficient utilization of energy and increase the operational lifetime of the wireless sensor network while at the same time providing consistent packets delivery, energy efficient node disjoint multipath routing was recommended. In our method the nodedisjoint multiple paths are discovered from the source node to the sink node. We make efficient utilization of the network paths by intelligently elect the most suitable paths for packet transmissions based on path cost calculation. The path cost calculation considers the number of hops, minimum energy node in the path and latency rate, As a result the best paths will select based on latest path cost. The structure of the control messages were shown in different categories. The fragmentation of data packets on node-disjoint multipath were also set-up through the network. Results through simulations investigated explains how EENDM accomplished better outcomes than DD and also N-1 multipath routing technique when compared with the benchmarks lifetime of network, control message overhead, consumption of energy node, Packet delivery ratio, and average packet delay.
Reflections from Women Doctoral Students Lives Regarding Gender Roles

Engaging in business life actively with industrialization, modernism movements and making a significant improvement in getting higher education degrees, the women’s getting postgraduate degrees –especially seen as a very challenging and demanding pathway by many people- has various effects on their social lives. The aim of this study was to analyze the interaction between doctoral process and women’s gender roles in daily life. The design of the study was qualitative interview-based and to collect the data semi-structured interviews were conducted. Participants were chosen among the volunteer women doctoral students in Cukurova University. The data collected was analyzed with content analysis. The findings revealed there are many advantages and disadvantages reflected on the women doctoral students’ lives through their doctorate regarding gender roles and they had a lot of difficulties through this process. They put forward recommendations related to various points such as providing equality of women and men and having support mechanisms in order to overcome these inequality related problems. Although they got both support and criticism regarding doing doctorate, women doctoral students have many reasons for doing doctorate which engage them into a devoted endeavor in a sense to get higher education and join more actively in business life.
Daily practice teams in nursing homes: evidence from New York state.

PURPOSE Most health care organizations, including nursing homes, report having teams. However, little is known about everyday practice teams among staff providing direct resident care. We assess the prevalence of such teams in nursing homes as reported by direct care staff and administrators, and examine characteristics of facilities that foster these teams. DESIGN AND METHODS The analytical model is based on 149 nursing homes. Data sources include surveys of administrators (n = 292) and direct care staff (n = 6,867), and Online Survey Certification and Reporting System. Linear regression with robust standard errors and sampling probability weights is used to examine the relationship between daily practice teams and facility characteristics. RESULTS On average, 16% of workers per facility report practicing in formal multidisciplinary teams providing daily resident care. Team prevalence is 3.3% higher when managers view teams as very important for clinical care quality, 2.6% higher when the directors of nursing report formally organized teams, 2.5% higher for each 10% increase in workers' involvement in teams other than the daily practice teams, and 1.95% higher for each 1-hr increase in nursing hours. IMPLICATIONS Our study shows that multidisciplinary daily practice teams can be found in most facilities in our large sample, but their penetration within nursing homes is far from pervasive; in 72% of facilities, staff report team prevalence of less than 25%. Given that the majority of managers report teamwork as very important to their facilities' operations, we discuss why only a relatively small proportion of daily care is provided in this fashion.
Runtime Contention and Bandwidth-Aware Adaptive Routing Selection Strategies for Networks-on-Chip

This paper presents adaptive routing selection strategies suitable for network-on-chip (NoC). The main prototype presented in this paper uses contention information and bandwidth space occupancy to make routing decision at runtime during application execution time. The performance of the NoC router is compared to other NoC routers with queue-length-oriented adaptive routing selection strategies. The evaluation results show that the contention- and bandwidth-aware adaptive routing selection strategies are better than the queue-length-oriented adaptive selection strategies. Messages in the NoC are switched with a wormhole cut-through switching method, where different messages can be interleaved at flit-level in the same communication link without using virtual channels. Hence, the head-of-line blocking problem can be solved effectively and efficiently. The routing control concept and the VLSI microarchitecture of the NoC routers are also presented in this paper.
Combinatorial Auctions via Posted Prices

We study anonymous posted price mechanisms for combinatorial auctions in a Bayesian framework. In a posted price mechanism, item prices are posted, then the consumers approach the seller sequentially in an arbitrary order, each purchasing her favorite bundle from among the unsold items at the posted prices. These mechanisms are simple, transparent and trivially dominant strategy incentive compatible (DSIC). We show that when agent preferences are fractionally subadditive (which includes all submodular functions), there always exist prices that, in expectation, obtain at least half of the optimal welfare. Our result is constructive: given black-box access to a combinatorial auction algorithm A, sample access to the prior distribution, and appropriate query access to the sampled valuations, one can compute, in polytime, prices that guarantee at least half of the expected welfare of A. As a corollary, we obtain the first polytime (in n and m) constant-factor DSIC mechanism for Bayesian submodular combinatorial auctions, given access to demand query oracles. Our results also extend to valuations with complements, where the approximation factor degrades linearly with the level of complementarity.
On the Interplay between Resource Extraction and Polluting Emissions in Oligopoly

This paper offers an overview of the literature discussing oligopoly games in which polluting emissions are generated by the supply of goods requiring a natural resource as an input. An analytical summary of the main features of the interplay between pollution and resource extraction is then given using a differential game based on the Cournot oligopoly model, in which (i) the bearings on resource preservation of Pigouvian tax rate tailored on emissions are singled out and (ii) the issue of the optimal number of firms in the commons is also addressed.
Ultradeformable Archaeosomes for Needle Free Nanovaccination with Leishmania braziliensis Antigens

Total antigens from Leishmania braziliensis promastigotes, solubilized with sodium cholate (dsLp), were formulated within ultradeformable nanovesicles (dsLp-ultradeformable archaeosomes, (dsLp-UDA), and dsLp-ultradeformable liposomes (dsLp-UDL)) and topically administered to Balb/c mice. Ultradeformable nanovesicles can penetrate the intact stratum corneum up to the viable epidermis, with no aid of classical permeation enhancers that can damage the barrier function of the skin. Briefly, 100 nm unilamellar dsLp-UDA (soybean phosphatidylcholine: Halorubrum tebenquichense total polar lipids (TPL): sodium cholate, 3:3:1 w:w) of -31.45 mV Z potential, containing 4.84 ± 0.53% w/w protein/lipid dsLp, 235 KPa Young modulus were prepared. In vitro, dsLp-UDA was extensively taken up by J774A1 and bone marrow derive cells, and the only that induced an immediate secretion of IL-6, IL-12p40 and TNF-α, followed by IL-1β, by J774A1 cells. Such extensive uptake is a key feature of UDA ascribed to the highly negatively charged archaeolipids of the TPL, which are recognized by a receptor specialized in uptake and not involved in downstream signaling. Despite dsLp alone was also immunostimulatory on J774A1 cells, applied twice a week on consecutive days along 7 weeks on Balb/c mice, it raised no measurable response unless associated to UDL or UDA. The highest systemic response, IgGa2 mediated, 1 log lower than im dsLp Al2O3, was elicited by dsLp-UDA. Such findings suggest that in vivo, UDL and UDA acted as penetration enhancers for dsLp, but only dsLp-UDA, owed to its pronounced uptake by APC, succeeded as topical adjuvants. The actual TPL composition, fully made of sn2,3 ether linked saturated archaeolipids, gives the UDA bilayer resistance against chemical, physical and enzymatic attacks that destroy ordinary phospholipids bilayers. Together, these properties make UDA a promising platform for topical drug targeted delivery and vaccination, that may be of help for countries with a deficient healthcare system.
A Contextually-Aware , Privacy-Preserving Android Permission Model by Arjun Baokar Research Project

Smartphones contain a large amount of highly personal data, much of it accessible to third-party applications. Much of this information is safeguarded by a permission model, which regulates access to this information. This work primarily focuses on improving the Android permission model, which is known to have notoriously large amounts of sensitive data leakage, but many of its findings can be analogously applied to other mobile operating systems. We evaluate the two currently employed Android permission models: ask at installtime and ask-on-first-use to determine if they fulfill user expectations of privacy, and find that this is not the case for either model. We analyze the different facets that comprise user expectations and recommend a better mechanism to satisfy these expectations without excess effort from the user. This mechanism incorporates the contextual nature of privacy into the permission-granting process through the use of a machine learning classifier. We contribute the most extensive instrumentation of the Android operating system targeting user behavior and related runtime states to our knowledge, spanning across nearly 40 classes in the Android platform. This instrumentation allows us to utilize user behavior and system-level features to determine context for permission requests. The data from this instrumentation is used to generate features for the classifier. We evaluate the classifier on a large labeled dataset we collect from over 200 users using our modified operating system, and recommend ways to employ such a system in the real world based on our analysis.
CD8 T Cell Epitope Distribution in Viruses Reveals Patterns of Protein Biosynthesis

Distinguishing T cell epitope distribution patterns is relevant for epitope-vaccine design. To that end, we invest0069gated the distribution of known CD8 T cell epitopes from Hepatitis C Virus, Human Immunodeficiency Virus-1 and Influenza A Virus using χ2 statistics. We found that epitopes are not distributed in the viral proteomes proportionally to the size of the source proteins. Specifically, capsid and matrix proteins pack significantly more epitopes than those expected by their size. Such non-homogeneous distribution cannot be accounted by underlying MHC I-peptide binding preferences nor it is related to sequence variability. Instead, we propose that it might be related to preferential protein translation/biosynthesis. Overall, these results support the prioritization of structural antigens for epitope identification and vaccine design.
Trichoderma Biodiversity of Agricultural Fields in East China Reveals a Gradient Distribution of Species

We surveyed the Trichoderma (Hypocreales, Ascomycota) biodiversity in agricultural fields in four major agricultural provinces of East China. Trichoderma strains were identified based on molecular approaches and morphological characteristics. In three sampled seasons (spring, summer and autumn), 2078 strains were isolated and identified to 17 known species: T. harzianum (429 isolates), T. asperellum (425), T. hamatum (397), T. virens (340), T. koningiopsis (248), T. brevicompactum (73), T. atroviride (73), T. fertile (26), T. longibrachiatum (22), T. pleuroticola (16), T. erinaceum (16), T. oblongisporum (2), T. polysporum (2), T. spirale (2), T. capillare (2), T. velutinum (2), and T. saturnisporum (1). T. harzianum, T. asperellum, T. hamatum, and T. virens were identified as the dominant species with dominance (Y) values of 0.057, 0.052, 0.048, and 0.039, respectively. The species amount, isolate numbers and the dominant species of Trichoderma varied between provinces. Zhejiang Province has shown the highest diversity, which was reflected in the highest species amount (14) and the highest Shannon–Wiener diversity index of Trichoderma haplotypes (1.46). We observed that relative frequencies of T. hamatum and T. koningiopsis under rice soil were higher than those under wheat and maize soil, indicating the preference of Trichoderma to different crops. Remarkable seasonal variation was shown, with summer exhibiting the highest biodiversity of the studied seasons. These results show that Trichoderma biodiversity in agricultural fields varies by region, crop, and season. Zhejiang Province (the southernmost province in the investigated area) had more T. hamatum than Shandong Province (the northernmost province), not only in isolate amounts but also in haplotype amounts. Furthermore, at haplotype level, only T. hamatum showed a gradient distribution from south to north in correspondence analysis among the four dominant species. The above results would contribute to the application of Trichoderma biocontrol strains.
Cytokines and T-cell responses in superantigen-related glomerulonephritis following methicillin-resistant Staphylococcus aureus infection.

BACKGROUND We have previously reported that 10 patients who developed glomerulonephritis (GN) in association with methicillin-resistant Staphylococcus aureus (MRSA) infection showed a marked increase in DR+CD4+ and DR+CD8+ subsets of T cells and in T cells expressing several T-cell receptor (TCR) V beta+cells, perhaps representing V beta-specific T-cell activation by MRSA-derived superantigens (Kidney Int 1995; 47: 207-216). In this study we examine cytokine levels, T-lymphocyte subsets, natural killer NK cells, memory T cells, and the expression of IL-2 receptors in order to better understand the role of bacterial superantigens and cytokines in the pathogenesis of MRSA-associated GN. METHODS Twenty-two patients with MRSA infection who later developed GN caused by staphylococcal enterotoxin were evaluated immunologically in comparison with patients whose MRSA infection was not followed by GN (non-GN group) and normal individuals. RESULTS Among peripheral lymphocytes, the frequency of T cells expressing several TCR V betas, especially V beta 5-family TCR, was higher in the GN group than in both the non-GN group and the normal healthy control group. GN patients also showed increased serum levels of several cytokines, including tumour necrosis factor-alpha (TNF-alpha), interleukin-1 beta (IL-1 beta), IL-2, IL-6, IL-8, and IL-10, which have been implicated in the onset of nephritis. Memory cells, and IL-2 receptors also were elevated in the GN group. CONCLUSION These results suggest that T cells activated by MRSA-derived staphylococcal enterotoxins and subsequent production of cytokines may play an important role in the pathogenesis of MRSA-associated GN.
Domain Adaptation to Summarize Human Conversations

We are interested in improving the summarization of conversations by using domain adaptation. Since very few email corpora have been annotated for summarization purposes, we attempt to leverage the labeled data available in the multiparty meetings domain for the summarization of email threads. In this paper, we compare several approaches to supervised domain adaptation using out-of-domain labeled data, and also try to use unlabeled data in the target domain through semi-supervised domain adaptation. From the results of our experiments, we conclude that with some in-domain labeled data, training in-domain with no adaptation is most effective, but that when there is no labeled in-domain data, domain adaptation algorithms such as structural correspondence learning can improve summarization.
Design Considerations for the Next Generation of Atmospheric Imaging Cherenkov Telescopes

We estimate the limiting angular resolution and detection area for an array of 3 large-aperture Imaging Atmospheric Cherenkov Telescopes. We consider an idealized IACT system in order to understand the limitations imposed by the intrinsic nature of the atmospheric showers and geometry of the detector configuration. The idealization includes the assumptions of a perfect optical system and the absence of the night sky background with the goal of finding the optimum camera geometry and array configuration independent of detailed assumptions about the telescope design. The showers are simulated using the ALTAI code for the altitude of 2700 m corresponding to one of possible future sites for a new northern-hemisphere array. The optimal design depends on the target energy range; for each energy we vary both the cell length (telescope spacing) and the image processing parameters in order to maximize the signal-to-noise ratio. We then present the resulting values of the detection area and the angular resolution for this energy dependent optimization. We discuss the dependence of these quantities on the field of view of the telescopes and pixel size of the camera.
Frame isotropic multiresolution analysis for micro CT scans of coronary arteries

We analyze localized textural consistencies in high-resolution Micro CT scans of coronary arteries to identify the appearance of diagnostically relevant changes in tissue. For the efficient and accurate processing of CT volume data, we use fast algorithms associated with three-dimensional so-called isotropic multiresolution wavelets that implement a redundant, frame-based image encoding without directional preference. Our algorithm identifies textural consistencies by correlating coefficients in the wavelet representation.
Recombinational branch migration by the RadA/Sms paralog of RecA in Escherichia coli

RadA (also known as 'Sms') is a highly conserved protein, found in almost all eubacteria and plants, with sequence similarity to the RecA strand exchange protein and a role in homologous recombination. We investigate here the biochemical properties of the E. coli RadA protein and several mutant forms. RadA is a DNA-dependent ATPase, a DNA-binding protein and can stimulate the branch migration phase of RecA-mediated strand transfer reactions. RadA cannot mediate synaptic pairing between homologous DNA molecules but can drive branch migration to extend the region of heteroduplex DNA, even without RecA. Unlike other branch migration factors RecG and RuvAB, RadA stimulates branch migration within the context of the RecA filament, in the direction of RecA-mediated strand exchange. We propose that RadA-mediated branch migration aids recombination by allowing the 3’ invading strand to be incorporated into heteroduplex DNA and to be extended by DNA polymerases. DOI: http://dx.doi. org/10.7554/eLife.10807. 001
A Routing Algorithm Based on Trustworthy Core Tree for WSN

A Routing Algorithm base on Trustworthy Core Tree for WSN£¨RATCT£© is proposed in this paper aims to prolong network lifetime as well as increase network security in a hierarchical-cluster sensor network. Cluster heads with higher residual energy and trust level are elected from underlying sensor nodes. A minimum energy consumption spanning tree algorithm is used to organize all cluster heads into a trustworthy core tree with sink node as tree root. The Trustworthy core tree is expanded to cover all nodes so that each node report to sink node along a unique route. A trust model is integrated in RATCT to evaluate node¡¯s trust level and detect evil nodes. Simulation results testify to the effectiveness of the algorithm in producing a longer network lifetime and a safer network.
Beyond the Fear of Deportation: Understanding Unauthorized Immigrants’ Ambivalence Toward the Police

This article draws on in-depth interviews and ethnography to examine unauthorized Mexican immigrants’ perceptions of and experiences with police in Los Angeles and Philadelphia. Most existing research focuses on immigrants’ fears of deportation as the primary determinant of negative attitudes toward the police. We add to this body of work by arguing that police interactions serve as important moments of legal socialization that also contribute to undocumented immigrants’ legal attitudes. Our findings reveal that undocumented immigrants express a great deal of ambivalence about American police, believing them to be both trustworthy and overly punitive. Ultimately, the ambivalence that undocumented immigrants feel about the police mirrors the tension between inclusion and exclusion that characterizes immigrant life in the United States.
Music meter and tempo tracking from raw polyphonic audio

This paper presents a method for the extraction of music meter and tempo from raw polyphonic audio recordings, assuming that music meter remains constant throughout the recoding. Although this assumption can be restrictive for certain musical genres, it is acceptable for a large corpus of folklore eastern music styles, including Greek traditional dance music. Our approach is based on the selfsimilarity analysis of the audio recording and does not assume the presence of percussive instruments. Its novelty lies in the fact that music meter and tempo are jointly determined. The method has been applied to a variety of musical genres, in the context of Greek traditional music where music meter can be 24 , 3 4 , 4 4 , 5 4 , 7 8 , 9 8 , 12 8 and tempo ranges from 40bpm to 330bpm. Experiments have, so far, demonstrated the efficiency of our method (music meter and tempo were successfully extracted for over 95% of the recordings).