Miracle-dz/UniFAR-FTUs huggingface dataset:
SpatialRecruiter: Maximizing Sensing Coverage in Selecting Workers for Spatial Crowdsourcing

Spatial crowdsourcing and crowdsensing are two emerging crowdsourcing paradigms, which enable a variety of location-based query and sensing tasks. In spatial crowdsourcing, mobile workers are required to travel physically to target locations in order to complete query tasks. Most existing work, hence, has focused on designing efficient query task assignment schemes to maximize the task completion rate under traveling constraints of workers for spatial crowdsourcing systems. In crowdsensing, on the other hand, sensor recordings of workers’ smartphones are of interest and have been collected to build various applications. Therefore, work concerning crowdsensing has strived to maximize the coverage area of sensor trajectories by selecting a set of workers. In this paper, we investigate the integration of these two paradigms. We notice a key link between these paradigms: While a worker is traveling to the target location of a query task, his trajectory may provide valuable coverage for a sensing task. Therefore, we propose a task management framework, named SpatialRecruiter, to efficiently match workers to the merged query and sensing tasks. We propose two coverage estimation functions to compute the coverage potential of a worker. Then, we design a greedy heuristic to select and assign workers. The experimental results on a real-world dataset demonstrate that the proposed strategies are efficient and effective in meeting the requirements of both paradigms.
Forecasting Economics and Financial Time Series: ARIMA vs. LSTM

Forecasting time series data is an important subject in economics, business, and finance. Traditionally, there are several techniques to effectively forecast the next lag of time series data such as univariate Autoregressive (AR), univariate Moving Average (MA), Simple Exponential Smoothing (SES), and more notably Autoregressive Integrated Moving Average (ARIMA) with its many variations. In particular, ARIMA model has demonstrated its outperformance in precision and accuracy of predicting the next lags of time series. With the recent advancement in computational power of computers and more importantly developing more advanced machine learning algorithms and approaches such as deep learning, new algorithms are developed to forecast time series data. The research question investigated in this article is that whether and how the newly developed deep learning-based algorithms for forecasting time series data, such as "Long Short-Term Memory (LSTM)", are superior to the traditional algorithms. The empirical studies conducted and reported in this article show that deep learning-based algorithms such as LSTM outperform traditional-based algorithms such as ARIMA model. More specifically, the average reduction in error rates obtained by LSTM is between 84 - 87 percent when compared to ARIMA indicating the superiority of LSTM to ARIMA. Furthermore, it was noticed that the number of training times, known as "epoch" in deep learning, has no effect on the performance of the trained forecast model and it exhibits a truly random behavior.
When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks

Attacks against machine learning systems represent a growing threat as highlighted by the abundance of attacks proposed lately. However, attacks often make unrealistic assumptions about the knowledge and capabilities of adversaries. To evaluate this threat systematically, we propose the FAIL attacker model, which describes the adversary's knowledge and control along four dimensions. The FAIL model allows us to consider a wide range of weaker adversaries that have limited control and incomplete knowledge of the features, learning algorithms and training instances utilized. Within this framework, we evaluate the generalized transferability of a known evasion attack and we design StingRay, a targeted poisoning attack that is broadly applicable---it is practical against 4 machine learning applications, which use 3 different learning algorithms, and it can bypass 2 existing defenses. Our evaluation provides deeper insights into the transferability of poison and evasion samples across models and suggests promising directions for investigating defenses against this threat.
Recapitulating and Correcting Marfan Syndrome in a Cellular Model

Marfan syndrome (MFS) is a connective tissue disorder caused by mutations in FBN1 gene, which encodes a key extracellular matrix protein FIBRILLIN-1. The haplosufficiency of FBN1 has been implicated in pathogenesis of MFS with manifestations primarily in cardiovascular, muscular, and ocular tissues. Due to limitations in animal models to study the late-onset diseases, human pluripotent stem cells (PSCs) offer a homogeneic tool for dissection of cellular and molecular pathogenic mechanism for MFS in vitro. Here, we first derived induced PSCs (iPSCs) from a MFS patient with a FBN1 mutation and corrected the mutation, thereby generating an isogenic “gain-of-function” control cells for the parental MFS iPSCs. Reversely, we knocked out FBN1 in both alleles in a wild-type (WT) human embryonic stem cell (ESC) line, which served as a loss-of-function model for MFS with the WT cells as an isogenic control. Mesenchymal stem cells derived from both FBN1-mutant iPSCs and -ESCs demonstrated reduced osteogenic differentiation and microfibril formation. We further demonstrated that vascular smooth muscle cells derived from FBN1-mutant iPSCs showed less sensitivity to carbachol as demonstrated by contractility and Ca2+ influx assay, compared to the isogenic controls cells. These findings were further supported by transcriptomic anaylsis of the cells. Therefore, this study based on both gain- and loss-of-function approaches confirmed the pathogenetic role of FBN1 mutations in these MFS-related phenotypic changes.
Collapse phenomenon during Chartis collateral ventilation assessment

Chartis is increasingly used for bronchoscopic assessment of collateral ventilation before endobronchial valve (EBV) treatment for severe emphysema. Its prognostic value is, however, limited by the airway collapse phenomenon. The frequency and clinical significance of the collapse phenomenon remain largely unknown. We performed a retrospective analysis of 92 patients undergoing Chartis evaluation under spontaneous breathing (n=55) or jet ventilation (n=37) from May 2010 to November 2013. Collateral ventilation status (positive/negative/collapse phenomenon/unclear) was reassessed and correlated with high-resolution computed tomography (HRCT) fissure analysis and clinical response. In the absence of the collapse phenomenon, the predictive value of Chartis measurements and HRCT fissural analysis was comparable. The collapse phenomenon was observed in 31.5% of all assessments, and was more frequent in lower lobes (44.9% versus 16.9% in upper lobes) and under jet ventilation (41.4% versus 22.1% under spontaneous breathing). 69.8% of lobes with the collapse phenomenon had complete fissures. Most patients with the collapse phenomenon in the target lobe and complete fissures treated with EBVs were responders (n=11/15). All valve-treated collapse phenomenon patients with fissure defects were nonresponders (n=3). In the absence of the collapse phenomenon Chartis measurement is reliable to predict response to valve treatment. In patients with the collapse phenomenon, treatment decisions should be based on HRCT detection of fissure integrity. Chartis assessment should be performed under spontaneous breathing. Collapse phenomenon during Chartis assessment of collateral ventilation is frequent: fissure analysis should be added http://ow.ly/Y76Ej
Pathogenesis of Chandler's syndrome, essential iris atrophy and the Cogan-Reese syndrome. I. Alterations of the corneal endothelium.

Eight keratoplasty and 14 trabeculectomy specimens from Chandler's syndrome, Essential Iris Atrophy, and the Cogan-Reese syndrome were studied by electron microscopic and morphometric methods. The corneal endothelium in these conditions undergoes the most varied and complex alterations of any of the endotheliopathies so far studied. The size, shape, and density are altered, and the apical surface shows a myriad of abnormalities including alterations of the intercellular borders and junctions, and formation of numerous microvilli, filopodia, and "blebs. " Whereas many cells have features indicative of metabolic activity, and others may have undergone division, still others appear to have been injured as they are disrupted and necrotic. There is also evidence for the presence of a low-grade, long-standing chronic inflammation and an associated loss of contact inhibition with formation of multiple endothelial layers. These changes do not encompass the entire endothelium, as some regions remain relatively unaffected, and each specimen presents a unique morphology. The endothelium is most affected in cases of Essential Iris Atrophy. Some changes may be related to such processes as cell migration and reparative activities. However, the presence of cell necrosis (apoptosis) and chronic inflammation (endotheliitis) may be more specifically related to the ICE syndrome endotheliopathy. The slit lamp and specular microscopy findings characteristic of this disease are correlated with the described histologic abnormalities.
Emergency Food Assistance in Northern Syria: An Evaluation of Transfer Programs in Idleb Governorate

Background: The war in Syria has left millions struggling to survive amidst violent conflict, pervasive unemployment, and food insecurity. Although international assistance funding is also at an all-time high, it is insufficient to meet the needs of conflict-affected populations, and there is increasing pressure on humanitarian stakeholders to find more efficient, effective ways to provide assistance. Objective: To evaluate 3 different assistance programs (in-kind food commodities, food vouchers, and unrestricted vouchers) in Idleb Governorate of Syria from December 2014 and March 2015. Methods: The evaluation used repeated survey data from beneficiary households to determine whether assistance was successful in maintaining food security at the household level. Shopkeeper surveys and program monitoring data were used to assess the impact on markets at the district/governorate levels and compare the cost-efficiency and cost-effectiveness of transfer modalities. Results: Both in-kind food assistance and voucher programs showed positive effects on household food security and economic measures in Idleb; however, no intervention was successful in improving all outcomes measured. Food transfers were more likely to improve food access and food security than vouchers and unrestricted vouchers. Voucher programs were found to be more cost-efficient than in-kind food assistance, and more cost-effective for increasing household food consumption. Conclusion: Continuation of multiple types of transfer programs, including both in-kind assistance and vouchers, will allow humanitarian actors to remain responsive to evolving access and security considerations, local needs, and market dynamics.
Sorghum cultivars of different purposes silage

This study aimed to assess the fermentation profile, losses and chemical composition of the silages of five sorghum cultivars. A completely randomized design with five replicates was used. The experimental treatments were represented by five sorghum cultivars (Sorghum bicolor (L). Moench): 'BRS Ponta Negra' , 'BRS 610', 'BRS 655', 'BRS 800' and 'BRS 810'. There was variation (P<0.05) for the pH in the cultivars studied, with highest result of pH by 'BRS 610'. The average percentages of lactic acid, acetic acid and propionic acid, differed (P<0.05) among the cultivars, ranging from 32.9 to 59.5, 19.8 to 39.8, and 0.0 to 1.3g kg-1, respectively. The dry matter recovery varied among cultivars (P<0.05), allowing the identification of BRS Ponta Negra, and 'BRS 810' silages, as those which recovered the lowest dry matter, with values of 757.1 and 776.1g kg-1, respectively. There were differences (P<0.05) for dry matter, crude protein, ether extract, neutral detergent fiber, non-fibrous carbohydrates and total carbohydrates contents among the cultivars. It was concluded that, despite the morphological and chemical differences among cultivars, the resulting silages had good fermentation profile.
Winding Thermal Model for Short-Time Transient: Experimental Validation in Operative Conditions

This paper presents the validation of a first-order winding thermal model in machine operative conditions. The proposed model can be used in motor control strategies for the winding temperature prediction during transient overload, or vice versa, for the prediction of the maximum time duration of the overload maintaining the winding temperature within the limit imposed by the class of insulation. The thermal model has been validated using two different electrical machines. The first one is a 10-kW automotive starter-generator prototype for mini-hybrid powertrain equipped with distributed bar windings, while the second one is a 2.2 kW total enclosed fan cooled industrial induction motor equipped with conventional stranded wire windings. Depending on the application for both machines, a short-duty transient operation in overload conditions could be required. In particular, the automotive starter-generator must accomplish engine cranking and torque assistance during the vehicle acceleration and braking, while the industrial induction machine could operate in intermittent service in overload conditions when used in machine tool applications. As a consequence, an accurate stator winding temperature prediction is mandatory to fully exploit the machine performance. For both motors, the thermal model parameters have been evaluated by fast experimental approach, and, subsequently, the model has been validated during operative overload conditions.
P2P-based collaborative spam detection and filtering

Spam is one of the major problems of today email systems. While many solutions have been proposed to automatically detect and filter spam, spammers are getting more and more technically sophisticated and aware of internal workings of anti-spam systems, finding ways to disguise their emails to get around the different controls that can be enforced. We propose a decentralized privacy-preserving approach to spam filtering. Our solution exploits robust digests to identify messages that are a slight variation of one another and a structured peer-to-peer architecture between mail servers to collaboratively share knowledge about spam.
Subacute decline in serum lipids precedes the occurrence of primary intracerebral hemorrhage

Objective: We aimed to describe the temporal variation in circulating lipid levels among patients with intracerebral hemorrhage (ICH) and investigate their association with ICH risk. Methods: This was a single-center, retrospective, longitudinal, case-control analysis using cases drawn from an ongoing cohort study of primary ICH and controls drawn from a hospital-based clinical data registry. Piecewise linear mixed-effect random coefficient models were used to determine the significance of changes in serum lipid trends on ICH risk. Results: Two hundred twelve ICH cases and 301 control individuals were analyzed. Overall trends in serum total cholesterol (TC) and low-density lipoprotein (LDL) levels differed between ICH cases and non-ICH controls (p = 0.00001 and p = 0.0092, respectively). Patients with ICH experience accelerated decline in serum TC and LDL levels during 6 months immediately preceding ICH, compared with levels between 6 and 24 months pre-ICH (TC: −29.25 mg/dL, p = 0.001; LDL: −21.48 mg/dL, p = 0.0038), which was not observed in non-ICH controls. Subgroup analysis confirmed that this phenomenon cannot be attributed to statin or alcohol exposure. Serum triglycerides and high-density lipoprotein trends did not differ between groups. Conclusions: Longitudinal lipid levels differ between ICH cases and non-ICH controls, most notably for a decline in serum TC and LDL levels within 6 months preceding primary ICH, independent of statin or alcohol use. These changes in serum TC and LDL trends suggest a biological pathway that precipitates ICH occurrence. Further studies are needed to replicate these results and characterize rate of change in serum lipids as a potential biomarker of impending acute cerebral injury.
Once Hurt, Twice Shy: Social Pain Contributes to Social Anxiety

Social rejection has been consistently linked to the development of social anxiety. However, mechanisms underlying the relation have been largely unexplored, which presents an obstacle to fully understanding the origins of social anxiety and to the development of effective prevention and treatment strategies. Two studies were conducted to test the hypothesis that the emotion of social pain following rejection promotes the development of social anxiety in subsequent situations. In Study 1, undergraduate participants were exposed to 2 social situations (Cyberball) 2 days apart. Participants who were rejected in the first situation reported higher social anxiety before and during the second situation relative to those who were included. This effect was fully mediated by initial social pain intensity. In Study 2, all participants were initially rejected. Using double-blinded drug administration, participants were randomly assigned to ingest acetaminophen to alleviate the social pain from rejection, or a sugar placebo. As predicted, the acetaminophen group reported lower social anxiety before and during the second situation. Approximately half of the effect was mediated by reduction in social pain. Notably, the immediate effect of acetaminophen was specific to social pain rather than social anxiety. Results were discussed in the context of literature on the etiology of social anxiety and social pain. Future directions were suggested.
Using Unmanned Aerial Vehicles in Postfire Vegetation Survey Campaigns through Large and Heterogeneous Areas: Opportunities and Challenges

This study evaluated the opportunities and challenges of using drones to obtain multispectral orthomosaics at ultra-high resolution that could be useful for monitoring large and heterogeneous burned areas. We conducted a survey using an octocopter equipped with a Parrot SEQUOIA multispectral camera in a 3000 ha framework located within the perimeter of a megafire in Spain. We assessed the quality of both the camera raw imagery and the multispectral orthomosaic obtained, as well as the required processing capability. Additionally, we compared the spatial information provided by the drone orthomosaic at ultra-high spatial resolution with another image provided by the WorldView-2 satellite at high spatial resolution. The drone raw imagery presented some anomalies, such as horizontal banding noise and non-homogeneous radiometry. Camera locations showed a lack of synchrony of the single frequency GPS receiver. The georeferencing process based on ground control points achieved an error lower than 30 cm in X-Y and lower than 55 cm in Z. The drone orthomosaic provided more information in terms of spatial variability in heterogeneous burned areas in comparison with the WorldView-2 satellite imagery. The drone orthomosaic could constitute a viable alternative for the evaluation of post-fire vegetation regeneration in large and heterogeneous burned areas.
Yeast extract plus blood plasma in diets for piglets from 36 to 60 days old

To evaluate inclusion levels and residual effects of diets containing yeast extract (YE) plus blood plasma (BP) on the performance of 36 to 60-days old piglets, 105 piglets were used (8.75±0.72kg), and they were distributed under a randomized block experimental design with five treatments (control - 2.0% BP; 1.0% BP plus 0.0, 1.0, 2.0, or 3.0% YE), seven repetitions, and three animals per experimental unit. Piglets were given experimental diets from 36 to 49 days of age. From 50 to 60 day of age, all piglets received the same diet. No effects from treatments (P>0.10) were observed on the performance variables from 36 to 49 day of age. From 50 to 60 day of age, an effect was observed from YE levels on the daily feed consumption (P<0.03), daily weight gain (p<0.01), and final weight (P<0.06), which increased quadratically up to 1.67, 1.67, and 1.55% YE levels, respectively. Piglets which were fed with the diet containing 1.0% BP + 2.0% YE were observed to have better feed conversion ratios (P<0.01) as compared to the control diet (2.0% BP). As it provides a better residual effect, the inclusion of 1.67% yeast extract may replace 50% of blood plasma in 36 to 49-days old piglet diets.
Deep RNA Sequencing of the Skeletal Muscle Transcriptome in Swimming Fish

Deep RNA sequencing (RNA-seq) was performed to provide an in-depth view of the transcriptome of red and white skeletal muscle of exercised and non-exercised rainbow trout (Oncorhynchus mykiss) with the specific objective to identify expressed genes and quantify the transcriptomic effects of swimming-induced exercise. Pubertal autumn-spawning seawater-raised female rainbow trout were rested (n = 10) or swum (n = 10) for 1176 km at 0.75 body-lengths per second in a 6,000-L swim-flume under reproductive conditions for 40 days. Red and white muscle RNA of exercised and non-exercised fish (4 lanes) was sequenced and resulted in 15–17 million reads per lane that, after de novo assembly, yielded 149,159 red and 118,572 white muscle contigs. Most contigs were annotated using an iterative homology search strategy against salmonid ESTs, the zebrafish Danio rerio genome and general Metazoan genes. When selecting for large contigs (>500 nucleotides), a number of novel rainbow trout gene sequences were identified in this study: 1,085 and 1,228 novel gene sequences for red and white muscle, respectively, which included a number of important molecules for skeletal muscle function. Transcriptomic analysis revealed that sustained swimming increased transcriptional activity in skeletal muscle and specifically an up-regulation of genes involved in muscle growth and developmental processes in white muscle. The unique collection of transcripts will contribute to our understanding of red and white muscle physiology, specifically during the long-term reproductive migration of salmonids.
The involvement of senescence induced by the telomere shortness in the decline of osteogenic differentiation in BMSCs.

OBJECTIVE BMSC (Bone marrow mesenchymal stem cells) is an important seed cell for the repair of bone and cartilage defect in the tissue engineering. The proliferation rate and differentiation capacity of BMSCs from the old donors were less than that from young donors; however, the related mechanism remained unclear. MATERIALS AND METHODS Sprague Dawley (SD) rats BMSCs were cultured and treated. Hydrogen peroxide (H2O2) and continual passage of BMSCs were performed to induce senescence. Senescence was detected by the SA-b-Gal staining and the telomere length analysis. Cell proliferation and osteogenic differentiation were also observed. Finally, Olaparib was used to maintain the telomere length and investigate the role of telomere length and senescence on the cell proliferation and differentiation. RESULTS H2O2 could increase the positive rate of SA-b-Gal staining in BMSCs and shorten the length of the telomere. The proliferation rate and ALP activity were also decreased by the H2O2. The senescence and decline of osteogenic differentiation could also be observed after prolonged passage of BMSCs. Inhibition of telomere length decline could attenuate the increased positive rate of SA-b-Gal staining induced by the H2O2, promote the cell proliferation, and enhance the capacity of osteogenic differentiation. CONCLUSIONS Senescence induced by the decline of telomere length could reduce the capacity of osteogenic differentiation and inhibit cell proliferation in BMSCs.