Miracle-dz/UniFAR-FTUs huggingface dataset:
MinT: Middleware for Cooperative Interaction of Things

This paper proposes an Internet of Things (IoT) middleware called Middleware for Cooperative Interaction of Things (MinT). MinT supports a fully distributed IoT environment in which IoT devices directly connect to peripheral devices easily construct a local or global network, and share their data in an energy efficient manner. MinT provides a sensor abstract layer, a system layer and an interaction layer. These enable integrated sensing device operations, efficient resource management, and active interconnection between peripheral IoT devices. In addition, MinT provides a high-level API to develop IoT devices easily for IoT device developers. We aim to enhance the energy efficiency and performance of IoT devices through the performance improvements offered by MinT resource management and request processing. The experimental results show that the average request rate increased by 25% compared to Californium, which is a middleware for efficient interaction in IoT environments with powerful performance, an average response time decrease of 90% when resource management was used, and power consumption decreased by up to 68%. Finally, the proposed platform can reduce the latency and power consumption of IoT devices.
The Multivariate Generalised von Mises Distribution: Inference and Applications

Circular variables arise in a multitude of data-modelling contexts ranging from robotics to the social sciences, but they have been largely overlooked by the machine learning community. This paper partially redresses this imbalance by extending some standard probabilistic modelling tools to the circular domain. First we introduce a new multivariate distribution over circular variables, called the multivariate Generalised von Mises (mGvM) distribution. This distribution can be constructed by restricting and renormalising a general multivariate Gaussian distribution to the unit hyper-torus. Previously proposed multivariate circular distributions are shown to be special cases of this construction. Second, we introduce a new probabilistic model for circular regression inspired by Gaussian Processes, and a method for probabilistic Principal Component Analysis with circular hidden variables. These models can leverage standard modelling tools (e.g. kernel functions and automatic relevance determination). Third, we show that the posterior distribution in these models is a mGvM distribution which enables development of an efficient variational free-energy scheme for performing approximate inference and approximate maximum-likelihood learning.
High-Sensitivity and High-Resolution SPECT/CT Systems Provide Substantial Dose Reduction Without Compromising Quantitative Precision for Assessment of Myocardial Perfusion and Function

There is increasing concern about radiation exposure from myocardial perfusion SPECT (MPS). γ-cameras with solid-state cadmium-zinc-telluride (CZT) detectors have better count sensitivity and spatial resolution than conventional sodium iodine detectors, allowing for significant reductions in radiotracer dose or acquisition time. This study aimed to demonstrate the capability of a hybrid CZT SPECT/64-slice CT system for dose reduction and to determine the maximal reduction possible without compromising image quality or the quantification precision of clinical MPS. Methods: The imaging data of patients with normal myocardial perfusion and 30 patients with mid-sized to large perfusion defects who had undergone stress 99mTc-tetrofosmin MPS were postprocessed. Low-dose (361 ± 60 MBq) and high-dose (725 ± 142 MBq) 99mTc-tetrofosmin scans were included, with 6-min and 4-min scanning times, respectively. List-mode SPECT data were reconstructed with CT-based attenuation correction and with full as well as 50% and 75% reductions in acquisition time to simulate the corresponding relative dose reductions. The reconstructed SPECT images were analyzed to calculate global MPS defect size and regional defect size for 3 coronary artery territories—left anterior descending, left circumflex, and right—as well as left ventricular (LV) volume and ejection fraction. Results: For patients with normal MPS results, there were no differences in defect size, LV volume, or ejection fraction, regardless of whether 50% or 75% reduction was used. For patients with abnormal MPS results, at a 50% reduction there was a significant difference in global defect size but not in regional defect size in the left anterior descending, left circumflex, and right coronary artery territories, whereas at a 75% reduction the difference was statistically significant in all territories, including the difference in global defect size. Nonetheless, differences in the defect size were minimal. The LV end-diastolic and end-systolic volumes and LV ejection fraction were not significantly different, regardless of whether 50% or 75% dose reduction was used. Conclusion: Ultra-low-dose (<190 MBq) MPS even with short imaging times (<6 min) is feasible using a hybrid CZT SPECT/CT camera without compromising image quality or significantly altering quantification of myocardial perfusion or LV function. We demonstrated that an additional 50% reduction in the current low-dose recommendations from the American Society of Nuclear Cardiology guidelines for 99mTc-labeled MPS is highly feasible while retaining short imaging protocols.
Antiretroviral Therapy Initiation and Changes in Self-Reported Depression

In this retrospective study of treatment-naive PLWH initiating antiretroviral therapy, the score for the depression scale of the Patient Health Questionnaire (PHQ-9) was significantly higher at baseline (median, 6.0; interquartile range, 2-11) than at 12 months (3.0; 0-8; P < .001). Baseline depression and lack of insurance are associated with 12-month depression, but receipt of efavirenz-based antiretroviral therapy is not.
Social Welfare and Wage Inequality in Search Equilibrium with Personal Contacts

This paper incorporates job search through personal contacts into an equilibrium matching model with a segregated labor market. Firms can post wage offers in the regular job market, alternatively they can save on advertising costs and rely on word-of-mouth communication. Wages are then negotiated ex-post between the firm and the applicant, so the model can generate wage premiums or penalties depending on the parameter of bargaining power. Moreover, this paper shows that the traditional Hosios (1990) condition continues to hold in an economy with family contacts but it fails to provide efficiency in the economy with weak ties. There are two reasons for the inefficiency. First, workers bargaining over wages do not internalize the positive external effect on their contacts, originating from a higher probability of finding a job. This network externality puts an upward pressure on wages so the market tightness in the referral market is distorted downwards. Second, weak ties do not act in full interest of the unemployed worker so their search intensity is inefficiently low. Finally, this paper shows that a combination of a hiring subsidy and a referral bonus can decentralize the efficient allocation in the economy with weak ties.
Block-wise lensless compressive camera

The existing lensless compressive camera (L<sup>2</sup>C<sup>2</sup>) [1] suffers from low capture rates, resulting in low resolution images when acquired over a short time. In this work, we propose a new regime to mitigate these drawbacks. We replace the global-based compressive sensing used in the existing L<sup>2</sup>C<sup>2</sup> by the local block (patch) based compressive sensing. We use a single sensor for each block, rather than for the entire image, thus forming a multiple but spatially parallel sensor L<sup>2</sup> C<sup>2</sup>. This new camera retains the advantages of existing L<sup>2</sup>C<sup>2</sup> while leading to the additional benefits of fast acquisition, real time reconstruction, and the flexibility to image size. We develop multiple geometries of this block-wise L<sup>2</sup>C<sup>2</sup> in this paper. We have built prototypes of the proposed blockwise L<sup>2</sup>C<sup>2</sup> and demonstrated excellent results of real data.
Association between early hyperoxia and worse outcomes after traumatic brain injury.

OBJECTIVE To investigate the relationship between oxygenation and short-term outcomes in patients with traumatic brain injury (TBI). DESIGN Logistic regression analysis was used to determine whether average high (>200 mm Hg) or low (<100 mm Hg) PaO2 levels within the first 24 hours of hospital admission correlated with patient outcomes relative to patients with average PaO2 levels between 100 and 200 mm Hg. SETTING Level 1 trauma center. PATIENTS We retrospectively reviewed 1547 consecutive patients with severe TBI who survived past 12 hours after hospital admission. MAIN OUTCOME MEASURES We measured mortality, intensive care unit length of stay, hospital length of stay, and discharge Glasgow Coma Scale (GCS) score. RESULTS Of the 1547 patients, 77% were male and 89% sustained blunt trauma. Mean (SD) age, admission GCS score, and Injury Severity Score were 41.3 (20.6) years, 8.3 (4.7), and 31.9 (12.5), respectively. Mean (SD) intensive care unit length of stay and hospital length of stay were 8.7 (10.5) days and 13.8 (13.7) days, respectively. Mean (SD) discharge GCS score was 10.1 (4.7). The mortality rate was 28%. After controlling for age, sex, Injury Severity Score, mechanism of injury, and admission GCS score, patients with high PaO2 levels had significantly higher mortality and lower discharge GCS scores than patients with a normal PaO2 (P < .05). Patients with low PaO2 levels also had increased mortality (P < .05). CONCLUSIONS Hyperoxia within the first 24 hours of hospitalization is associated with worse short-term functional outcomes and higher mortality after TBI. Although the mechanism for this has not been completely elucidated, it may involve hyperoxia-induced oxygen-free radical toxicity with or without vasoconstriction. Hyperoxia and hypoxia were found to be equally detrimental to short-term outcomes in patients with TBI. A narrower therapeutic window for oxygenation may improve mortality and functional outcomes.
Computational Creativity Based Video Recommendation

Computational creativity, as an emerging domain of application, emphasizes the use of big data to automatically design new knowledge. Based on the availability of complex multi-relational data, one aspect of computational creativity is to infer unexplored regions of feature space and novel learning paradigm, which is particularly useful for online recommendation. Tensor models offer effective approaches for complex multi-relational data learning and missing element completion. Targeting at constructing a recommender system that can compromise between accuracy and creativity for users, a deep Bayesian probabilistic tensor framework for tag and item recommending is adopted. Empirical results demonstrate the superiority of the proposed method and indicate that it can better capture latent patterns of interaction relationships and generate interesting recommendations based on creative tag combinations.
Power allocation for uplink non-orthogonal multiple access in 5G

Interleave division multiple access (IDMA) is a nonorthogonal multiple access (NOMA) scheme for the uplink that allows several users with different interleavers to transmit in the same channel. In this paper the issue of power allocation in IDMA is analyzed and an algorithm for optimal power allocation is introduced. The advantage of this algorithm is that it determines the optimal power allocation from information theory point of view with low computational cost. Furthermore, based on the optimal power allocation the maximum number of users that can use the same channel is determined. In the end, some numerical evaluations are presented to show the performance of IDMA with optimal power allocation in various circumstances. Throughout the paper, the turbo code scheme that is used in LTE is considered as the error correction code of IDMA. It is shown that with power optimization, IDMA can accommodate more users in the same channel while retaining a minimum required SNR for all users, thus increase the capacity and channel utilization.
Meat and nutritional quality comparison of purebred and crossbred pigs.

Crossbreeding is an effective method of improving the efficiency and profit of production in commercial pig operations. To understand the effect of crossbreeding on meat and nutrient quality, a combination including three purebred (Duroc, D; Landrace, L; Yorkshire, Y) and two crossbred pig lines (Landrace × Yorkshire, LY; Duroc × (Landrace × Yorkshire), DLY) frequently used internationally were studied. The results showed that meat from the LY and DLY crosses had lower values for lightness L24h∗, shear force and epinephrine and higher values for drip loss, C18:1, insulin, glucagon and monounsaturated fatty acids than D, L and Y pigs. Moreover, LY had higher values for post mortem pH and lower values for a* and b* than the purebreds. In contrast, DLY had lower values for pH and higher values for a* and b* than the purebreds. Meat quality-related gene analysis showed that the CAST, IGF2 and MC4R gene expression levels in the LY and DLY pigs were significantly higher than those in the D, L and Y pigs. These results indicate that crossbreeding can alter the meat quality, nutritive value, energy metabolism and gene expression of pigs. Future research should focus on microRNA expression and DNA methylation that regulate gene expression and thus affect the meat quality.
Resistance in persisting bat populations after white-nose syndrome invasion

Increases in anthropogenic movement have led to a rise in pathogen introductions and the emergence of infectious diseases in naive host communities worldwide. We combined empirical data and mathematical models to examine changes in disease dynamics in little brown bat (Myotis lucifugus) populations following the introduction of the emerging fungal pathogen Pseudogymnoascus destructans, which causes the disease white-nose syndrome. We found that infection intensity was much lower in persisting populations than in declining populations where the fungus has recently invaded. Fitted models indicate that this is most consistent with a reduction in the growth rate of the pathogen when fungal loads become high. The data are inconsistent with the evolution of tolerance or an overall reduced pathogen growth rate that might be caused by environmental factors. The existence of resistance in some persisting populations of little brown bats offers a glimmer of hope that a precipitously declining species will persist in the face of this deadly pathogen. This article is part of the themed issue ‘Human influences on evolution, and the ecological and societal consequences’.
Intramembrane proteolysis mediates shedding of a key adhesin during erythrocyte invasion by the malaria parasite

Apicomplexan pathogens are obligate intracellular parasites. To enter cells, they must bind with high affinity to host cell receptors and then uncouple these interactions to complete invasion. Merozoites of Plasmodium falciparum, the parasite responsible for the most dangerous form of malaria, invade erythrocytes using a family of adhesins called Duffy binding ligand-erythrocyte binding proteins (DBL-EBPs). The best-characterized P. falciparum DBL-EBP is erythrocyte binding antigen 175 (EBA-175), which binds erythrocyte surface glycophorin A. We report that EBA-175 is shed from the merozoite at around the point of invasion. Shedding occurs by proteolytic cleavage within the transmembrane domain (TMD) at a site that is conserved across the DBL-EBP family. We show that EBA-175 is cleaved by PfROM4, a rhomboid protease that localizes to the merozoite plasma membrane, but not by other rhomboids tested. Mutations within the EBA-175 TMD that abolish cleavage by PfROM4 prevent parasite growth. Our results identify a crucial role for intramembrane proteolysis in the life cycle of this pathogen.
Reassembly of contractile actin cortex in cell blebs

Contractile actin cortex is involved in cell morphogenesis, movement, and cytokinesis, but its organization and assembly are poorly understood. During blebbing, the membrane detaches from the cortex and inflates. As expansion ceases, contractile cortex reassembles under the membrane and drives bleb retraction. This cycle enabled us to measure the temporal sequence of protein recruitment to the membrane during cortex reassembly and to explore dependency relationships. Expanding blebs were devoid of actin, but proteins of the erythrocytic submembranous cytoskeleton were present. When expansion ceased, ezrin was recruited to the membrane first, followed by actin, actin-bundling proteins, and, finally, contractile proteins. Complete assembly of the contractile cortex, which was organized into a cagelike mesh of filaments, took ∼30 s. Cytochalasin D blocked recruitment of actin and α-actinin, but had no effect on membrane association of ankyrin B and ezrin. Ezrin played no role in actin nucleation, but was essential for tethering the membrane to the cortex. The Rho pathway was important for cortex assembly in blebs.
Trafficking of plasmepsin II to the food vacuole of the malaria parasite Plasmodium falciparum

fA amily of aspartic proteases, the plasmepsins (PMs), plays a key role in the degradation of hemoglobin in the Plasmodium falciparum food vacuole. To study the trafficking of proPM II, we have modified the chromosomal PM II gene in P. falciparum to encode a proPM II–GFP chimera. By taking advantage of green fluorescent protein fluorescence in live parasites, the ultrastructural resolution of immunoelectron microscopy, and inhibitors of trafficking and PM maturation, we have investigated the biosynthetic path leading to mature PM II in the food vacuole. Our data support a model whereby proPM II is transported through the secretory system to cytostomal vacuoles and then is carried along with its substrate hemoglobin to the food vacuole where it is proteolytically processed to mature PM II.
SPACA7 Is a Novel Male Germ Cell-Specific Protein Localized to the Sperm Acrosome That Is Involved in Fertilization in Mice1

ABSTRACT Sperm acrosome associated 7 (SPACA7) is a novel protein of unknown function with no homology to any known protein. Spaca7 transcripts are detected only in testis and predict a 158-residue mature polypeptide with one potential N-glycosylation site and no cysteines. Orthologs are present in various species, including mice and humans. We developed a polyclonal antibody to mouse SPACA7 to study its expression and function. Western blotting and immunofluorescence microscopy detected SPACA7 only in testis, and it was detected in testis starting at Postnatal Day 21 and into adulthood. Immunofluorescence staining of testicular germ cells detected weak SPACA7 expression as early as zygotene spermatocytes. Higher expression was observed in round spermatids, where SPACA7 was localized to a perinuclear spot adjacent to the Golgi and to the acrosome of elongating spermatids and spermatozoa. Immunogold electron microscopy demonstrated that SPACA7 is localized within the proacrosomal granule of round spermatids and the acrosome of spermatozoa. Finally, we showed that SPACA7 was retained within the acrosome of epididymal sperm and was released upon the acrosome reaction. To assess if SPACA7 was involved in fertilization, in vitro fertilization assays in the presence of anti-SPACA7 IgG were performed. Anti-SPACA7 inhibited fertilization of cumulus-intact eggs and prominently delayed cumulus dispersal. However, anti-SPACA7 did not inhibit fertilization of cumulus-free eggs. Our findings indicate that release of SPACA7 from the acrosome accelerates cumulus dispersal and facilitates fertilization via unknown mechanisms. This study is the first to document the expression of endogenous SPACA7 and a function for this novel acrosomal protein.
The dynamics of transmission and the dynamics of networks.

A toy example depicted here highlighting the results of a study in this issue of the Journal of Animal Ecology that investigates the impact of network dynamics on potential disease outbreaks. Infections (stars) that spread by contact only (left) reduce the predicted outbreak size compared to situations where individuals can become infected by moving through areas that previously contained infected individuals (right). This is potentially important in species where individuals, or in this case groups, have overlapping ranges (as depicted on the top right). Incorporating network dynamics that maintain information about the ordering of contacts (central blocks; including the ordering of spatial overlap as noted by the arrows that highlight the blue group arriving after the red group in top-right of the figure) is important for capturing how a disease might not have the opportunity to spread to all individuals. By contrast, a static or 'average' network (lower blocks) does not capture any of these dynamics. Interestingly, although static networks generally predict larger outbreak sizes, the authors find that in cases when transmission probability is low, this prediction can switch as a result of changes in the estimated intensity of contacts among individuals. [Colour figure can be viewed at wileyonlinelibrary.com]. Springer, A. , Kappeler, P.M. & Nunn, C.L. (2017) Dynamic vs. static social networks in models of parasite transmission: Predicting Cryptosporidium spread in wild lemurs. Journal of Animal Ecology, 86, 419-433. The spread of disease or information through networks can be affected by several factors. Whether and how these factors are accounted for can fundamentally change the predicted impact of a spreading epidemic. Springer, Kappeler & Nunn () investigate the role of different modes of transmission and network dynamics on the predicted size of a disease outbreak across several groups of Verreaux's sifakas, a group-living species of lemur. While some factors, such as seasonality, led to consistent differences in the structure of social networks, using dynamic vs. static representations of networks generated differences in the predicted outbreak size of an emergent disease. These findings highlight some of the challenges associated with studying disease dynamics in animal populations, and the importance of continuing efforts to develop the network tools needed to study disease spread.