Miracle-dz/UniFAR-FTUs huggingface dataset:
Cross-domain based Event Recommendation using Tensor Factorization

Abstract Context in the form of meta-data has been accredited as an important component in cross-domain collaborative filtering (CDCF). In this research paper CDCF concept is used to exploit event information (context) from two UI matrices to allow the recommendation performance of one domain (Facebook- User-Event Matrix) to benefit from the information from another domain (Bookmyshow- Event-Tag Matrix). The model based collaborative filtering approach Tensor Factorization(TF) has been used to integrate Facebook provided User-Event context information with Bookmyshow Event-Tag context information to recommend events. In contrast to the standard collaborative tag recommendation, our CDCF approach uses one User-Event matrix of Facebook that takes another Bookmyshow Event-Tag matrix as additional informant. The proposed cross-domain based Event Recommendation approach is divided into three modules- i) data collection which extracts the unstructured dataset from the two domains Bookmyshow and social networking site Facebook using API’s; ii) data mapping module which is basically used to integrate the common knowledge/ data that can be shared between considered different domains (Facebook & Bookmyshow). This module integrates and reduces the data into structured events’ instances. As the dataset was collected from two different sites, an intersection of both was taken out. Therefore this module is carefully designed according to reliability of information that is common between two domains; iii) 3 order tensor factorization and Latent Dirichlet Allocation (LDA) used for most preferable recommendation by less pertinent result reduction. The proposed 3 order tensor factorization is designed for maximizing the mutual benefit from both the considered domains (organizer and user). Therefore providing three recommendations: For organizers: 1) system recommends places to conduct specific event according to maximum of attendees of a particular type of event at a specific location; 2) recommending target audience to organizer: those who are interested to attend event on the basis of past data for promotion purposes. For users: 3) recommending events to users of their interest on the basis of past record. Our result shows significant improvement in reduction of less relevant data and result effectiveness is measured through recall and precision. Reduction of less relevant recommendation is 64%, 72% and 63% for place recommendation to organizer, target audience recommendation to organizer and event recommendation to user respectively. The proposed tensor factorization approach achieved 68% precision, 15.5% recall in recommending attendees to organizer and 62% precision, 13.4% recall for event recommendation to user.
Bacterial Flagellin Is an Effective Adjuvant for CD4+ T Cells In Vivo1

Flagellin is secreted by many enteric bacteria and, upon reaching the basolateral membrane of the intestinal epithelium, activates Toll-like receptor 5-mediated innate immune signaling pathways. We hypothesized that any flagellin that gets beyond the epithelium might also regulate cells of the adaptive immune system. Here we demonstrate that the clonal expansion of naive DO11.10 CD4 T cells in response to OVA peptide (323–339) was enhanced 3- to 10-fold in the presence of purified bacterial flagellin in vivo. OVA-specific CD4 T cells were also shown to have undergone more cell division in vivo if flagellin was coinjected with OVA. Flagellin administration increased the expression of B7-1 on splenic dendritic cells, and coinjection of CTLA4-Ig, which is known to block B7 function in vivo, completely ablated the adjuvant effect on CD4 T cells. Therefore, a conserved bacterial protein produced by many intestinal microbes can modulate CD4 T cell activation in vivo. Such an adjuvant effect for flagellin has important implications for vaccine development and the generation of CD4 T cell responses to enteric bacteria.
UWB Energy Detection Receivers with Partial Channel Knowledge

This paper deals with energy detection receivers for ultra-wideband systems operating in a dense multipath environment. For binary PPM modulation we propose a novel detection scheme that exploits some information on the channel energy-delay profile. We show that the BER performance of this detector is superior to that of a conventional scheme operating with no knowledge of the channel response. A simple method for estimating the channel delay profile is discussed and it is shown that the impact of the estimation errors on the receiver performance is negligible.
Multi-Modal Localization and Enhancement of Multiple Sound Sources from a Micro Aerial Vehicle

The ego-noise generated by the motors and propellers of a micro aerial vehicle (MAV) masks the environmental sounds and considerably degrades the quality of the on-board sound recording. Sound enhancement approaches generally require knowledge of the direction of arrival of the target sound sources, which are difficult to estimate due to the low signal-to-noise-ratio (SNR) caused by the ego-noise and the interferences between multiple sources. To address this problem, we propose a multi-modal analysis approach that jointly exploits audio and video to enhance the sounds of multiple targets captured from an MAV equipped with a microphone array and a video camera. We first address audio-visual calibration via camera resectioning, audio-visual temporal alignment and geometrical alignment to jointly use the features in the audio and video streams, which are independently generated. The spatial information from the video is used to assist sound enhancement by tracking multiple potential sound sources with a particle filter. Then we infer the directions of arrival of the target sources from the video tracking results and extract the sound from the desired direction with a time-frequency spatial filter, which suppresses the ego-noise by exploiting its time-frequency sparsity. Experimental demonstration results with real outdoor data verify the robustness of the proposed multi-modal approach for multiple speakers in extremely low-SNR scenarios.
Land cover differentiation using digital image processing of Landsat-7 ETM+ samples

This study presents the implementation of image processing techniques in satellite bands of the visible and infrared spectrum for the differentiation of land cover in the Colombian Andes, which is dominated by high mountain systems, to do this, we extracted features through texture analysis methods, principal component analysis, discrete cosine transform, combination of color spaces and vegetation indices to be combined together, we have obtained independent zones that guaranteed the separability of 9 classes and correct discrimination in step classification. In the classification module we used two approaches: a neural network and an expert system, with which it was possible to obtain a success rate of 77.38% and 86.36% respectively. tember 12 of 2008 and January 21 of 2010, obtained from United States Geological Survey (http://glovis.usgs.gov), in order to perform the correction to the SLC-off problem. Nine cover types or classes were selected and for each one of them were took the coordinates of 12 insitu points, these data were supplied by the Grupo de Estudios Ambientales (GEA) and taken on 2011. The classes studied were: natural forest, planted forest, type 1 crop, type 2 crop, grass, city, pantano, water and rock.
Autogenic and allogenic factors affecting development of a floating Sphagnum-dominated peat mat in a karst pond basin

Lateral expansion of floating vegetation mats over the surface of aquatic ecosystems (terrestrialization) is one of the ways of peatland development. This process was commonly studied in kettle-hole lakes, whereas karst ponds have received less attention. We used a suite of palaeoecological analyses at Karstovoe mire (Mordovia, Russia) to reconstruct the formation of a floating Sphagnum-dominated peat mat over the karst pond. The results show that the floating peat mat had covered the central part of the pond by ca. AD 1600. Remains of Scirpus sp. and Calamagrostis sp. in the basal layers indicate that these plants might form a framework on which Sphagnum mosses and sedges were established. The terrestrialization could be triggered by the ‘Medieval Warm Period’ (AD 950–1250) as droughts reduce water levels and allow the pioneering plants to colonize exposed bottom sediments on the margins of lakes. Later, the development of the mire was mainly driven by autogenic factors that could be explained by the relatively stable hydrological regime in freely floating or poorly attached vegetation mats. In the mid 19th century, the surface wetness of the mire started to decline that can be related to both increased human activity associated with fires and to a greater thickness of the mat so that autogenic and allogenic effects were difficult to disentangle. In less than a century after that, the fen transformed to a pioneer raised mire. Our results show complex and context-dependent effect of autogenic and allogenic factors on the development of floating peat mats.
Which Is the Fairest (Rent Division) of Them All?

“Mirror, mirror, on the wall, who is the fairest of them all? ” The Evil Queen What is a fair way to assign rooms to several housemates and divide the rent between them? This is not just a theoretical question: many people have used the Spliddit website to obtain envy-free solutions to rent division instances. But envy freeness, in and of itself, is insufficient to guarantee outcomes that people view as intuitive and acceptable. We therefore focus on solutions that optimize a criterion of social justice, subject to the envy-freeness constraint, in order to pinpoint the “fairest” solutions. We develop a general algorithmic framework that enables the computation of such solutions in polynomial time. We then study the relations between natural optimization objectives and identify the maximin solution, which maximizes the minimum utility subject to envy freeness, as the most attractive. We demonstrate, in theory and using experiments on real data from Spliddit, that the maximin solution gives rise to significant gains in terms of our optimization objectives. Finally, a user study with Spliddit users as subjects demonstrates that people find the maximin solution to be significantly fairer than arbitrary envy-free solutions; this user study is unprecedented in that it asks people about their real-world rent division instances. Based on these results, the maximin solution has been deployed on Spliddit since April 2015.
Synergistic interaction of three ERECTA-family receptor-like kinases controls Arabidopsis organ growth and flower development by promoting cell proliferation

Growth of plant organs relies on coordinated cell proliferation followed by cell growth, but the nature of the cell-cell signal that specifies organ size remains elusive. The Arabidopsis receptor-like kinase (RLK) ERECTA regulates inflorescence architecture. Our previous study using a dominant-negative fragment of ERECTA revealed the presence of redundancy in the ERECTA-mediated signal transduction pathway. Here, we report that Arabidopsis ERL1 and ERL2, two functional paralogs of ERECTA, play redundant but unique roles in a part of the ERECTA signaling pathway, and that synergistic interaction of three ERECTA-family RLKs define aerial organ size. Although erl1 and erl2 mutations conferred no detectable phenotype, they enhanced erecta defects in a unique manner. Overlapping but distinct roles of ERL1 and ERL2 can be ascribed largely to their intricate expression patterns rather than their functions as receptor kinases. Loss of the entire ERECTA family genes led to striking dwarfism, reduced lateral organ size and abnormal flower development, including defects in petal polar expansion, carpel elongation, and anther and ovule differentiation. These defects are due to severely reduced cell proliferation. Our findings place ERECTA-family RLKs as redundant receptors that link cell proliferation to organ growth and patterning.
Multiple cycles of preconditioning cause loss of protection in open-chest rabbits.

Although single or multiple bursts of ischemic preconditioning have been shown to protect against myocardial necrosis, the frequency-dependency of the protection afforded by multiple stimuli has not yet been systematically studied in the anesthetized animal. The aim of the present study was to characterize the effect of increasing numbers of preconditioning stimuli (5 min ischemia plus 10 min reperfusion) in a collateral-deficient species in vivo. Rabbits were anesthetized and divided into groups (n = 5-7/group) which were subjected to 0, 1, 2, 4, 6 or 8 cycles of preconditioning (each comprising 5 min of regional ischemia plus 10 min reperfusion) followed by 45 min of regional ischemia and 2 h reperfusion. An additional group, serving as a control, was subjected to eight cycles of preconditioning without a subsequent 45 min of regional ischemia. Infarct size (I) and risk zones (R) were delineated with the aid of tetrazolium staining and fluorescent particles and the I/R ratio was expressed as a percentage. Mean infarct size in the control group which had no preconditioning was 59.8 +/- 4.0%. This was reduced to 22.2 +/- 2.9%, 19.5 +/- 4.1% and 23.3 +/- 3.4% by one, two and four cycles of preconditioning. However, when the number of preconditioning cycles was increased to six or eight protection declined with infarct sizes of 41.8 +/- 6.9% (P < 0.05 v zero preconditioning control group) and 47.1 +/- 7.6% (N.S. v zero preconditioning control group). In the group subjected to eight cycles of preconditioning without subsequent ischemia, infarction was not detected. In conclusion, in the anesthetized rabbit, beyond 4 cycles, protection against infarction diminishes with increasing numbers of preconditioning cycles.
Towards a Tight Integration of Syntactic Parsing with Semantic Disambiguation by means of Declarative Programming

We propose and advocate the use of an advanced declarative programming paradigm – answer set programming – as a uniform platform for integrated approach towards syntax-semantic processing in natural language. We illustrate that (a) the parsing technology based on answer set programming implementation reaches performance sufficient for being a useful NLP tool, and (b) the proposed method for incorporating semantic information from FRAMENET into syntactic parsing may prove to be useful in allowing semantic-based disambiguation of syntactic structures.
Comparison of induced resistance activated by benzothiadiazole, (2R,3R)-butanediol and an isoparaffin mixture against anthracnose of Nicotiana benthamiana

Resistance in Nicotiana benthamiana against anthracnose caused by the hemibiotrophic fungus Colletotrichum orbiculare was activated by benzothiadiazole (BTH), (2R,3R)­butanediol or PC1, an isoparaffin-based mixture. In inoculation experiments, BTH, (2R,3R)­butanediol and PC1 reduced the number of lesions per leaf area caused by C. orbiculare by 98%, 77% and 81%, respectively. Foliar application of BTH induced expression of genes for the acidic pathogenesis-related (PR) proteins, NbPR-1a, NbPR-3Q and acidic NbPR-5. In contrast, soil application of (2R,3R)­butanediol or PC1 primed expression of genes for the basic PR proteins, NbPRb-1b, basic NbPR-2 and NbPR-5dB. These results are consistent with the activation of salicylic-acid-dependent systemic acquired resistance (SAR) by BTH and that of jasmonate/ethylene-dependent induced systemic resistance (ISR) by (2R,3R)­butanediol or PC1, and show that (2R,3R)­butanediol and PC1 can affect gene expression similarly to plant growth-promoting rhizobacteria. However, the effects of (2R,3R)-butanediol and PC1 were not identical. In addition to priming, (2R,3R)-butanediol induced expression of basic NbPR-2, whereas PC1 treatment induced expression of both NbPRb-1b and basic NbPR-2. Although a number of microbial products, such as (2R,3R)­butanediol, have been shown to produce ISR, this is the first demonstration that an isoparaffin-based mixture, not derived from a microorganism, can produce ISR.
Fabrication of Planar Power Inductor for Embedded Passives in LSI Package for Hundreds Megahertz Switching DC–DC Buck Converter

Recently, research and development of integrated low-voltage dc-dc converter to LSIs has been active. In order to realize such integrated dc power supply, power magnetic devices must be integrated in it. The authors have fabricated planar power inductor embedded in LSI package for hundreds megahertz switching dc-dc buck converter. In this study, two types of planar power inductors have been fabricated: one was spin-sprayed Zn-ferrite thick film magnetic core inductor, and the other was composite magnetic core (Fe-based amorphous/polyimide) inductor. Footprint of the fabricated inductors was 850×850 μm2, their inductance was about 10 nH, and the quality factor Q was about 20 at 100 MHz. The rating current which depends on the superimposed dc characteristic was at least up to 2 A.
A virtual target approach for trajectory optimization of a general class of constrained vehicles

This paper addresses the computation of (local) optimal feasible trajectories that best approximate in L2 sense any given desired maneuver for a general class of constrained robotic vehicles. For trajectory tracking and geometric tracking approaches, we propose a trajectory optimization strategy using a Virtual Target Vehicle (VTV) perspective where the virtual target plays the role of an additional control input. This extra flexibility can improve the numerical performance of the optimal control solver, which is based on a nonlinear projection operator Newton method, as well as enforce a trajectory-tracking or an only path-following behaviour of the resulting optimal trajectory. As an application scenario we apply the proposed approach to Unmanned Aerial Vehicles (UAVs). We provide numerical computations based on the loiter maneuver that illustrates the benefits of VTV design procedure and highlights interesting features of the proposed trajectory tracking and geometric tracking optimal control strategies.
Time Course Analysis Reveals Gene-Specific Transcript and Protein Kinetics of Adaptation to Short-Term Aerobic Exercise Training in Human Skeletal Muscle

Repeated bouts of episodic myofibrillar contraction associated with exercise training are potent stimuli for physiological adaptation. However, the time course of adaptation and the continuity between alterations in mRNA expression and protein content are not well described in human skeletal muscle. Eight healthy, sedentary males cycled for 60 min at 80% of peak oxygen consumption (VO2peak) each day for fourteen consecutive days, resulting in an increase in VO2peak of 17.5±3.8%. Skeletal muscle biopsies were taken at baseline, and on the morning following (+16 h after exercise) the first, third, seventh, tenth and fourteenth training sessions. Markers of mitochondrial adaptation (Cyt c and COXIV expression, and citrate synthase activity) were increased within the first week of training, but the mtDNA/nDNA ratio was unchanged by two weeks of training. Accumulation of PGC-1α and ERRα protein during training suggests a regulatory role for these factors in adaptations of mitochondrial and metabolic gene expression. A subset of genes were transiently increased after one training session, but returned to baseline levels thereafter, which is supportive of the concept of transcriptional capacity being particularly sensitive to the onset of a new level of contractile activity. Thus, gene-specific temporal patterns of induction of mRNA expression and protein content are described. Our results illustrate the phenomenology of skeletal muscle plasticity and support the notion that transcript level adjustments, coupled to accumulation of encoded protein, underlie the modulation of skeletal muscle metabolism and phenotype by regular exercise.
Journal of Health Economics and Outcomes Research

ABSTRACT Background : Atherosclerotic cardiovascular disease (ASCVD) remains the leading cause of mortality and disability in the United States and worldwide. Objective : To assess the multimorbidity burden and its associations with adverse cardiovascular events (ACE) and healthcare costs among patients with ASCVD. Methods : This is a retrospective observational cohort study using Aetna claims database. Patients with ASCVD were identified during the study period (1/1/2018–10/31/2021). The earliest ASCVD diagnosis date was identified as the index date. Qualified patients were ≥18 years of age and had ≥12 months of health plan enrollment before and after the index date. Comorbid conditions were
Finding Genes in DNA with a Hidden Markov Model

This study describes a new Hidden Markov Model (HMM) system for segmenting uncharacterized genomic DNA sequences into exons, introns, and intergenic regions. Separate HMM modules were designed and trained for specific regions of DNA: exons, introns, intergenic regions, and splice sites. The models were then tied together to form a biologically feasible topology. The integrated HMM was trained further on a set of eukaryotic DNA sequences and tested by using it to segment a separate set of sequences. The resulting HMM system which is called VEIL (Viterbi Exon-Intron Locator), obtains an overall accuracy on test data of 92% of total bases correctly labelled, with a correlation coefficient of 0.73. Using the more stringent test of exact exon prediction, VEIL correctly located both ends of 53% of the coding exons, and 49% of the exons it predicts are exactly correct. These results compare favorably to the best previous results for gene structure prediction and demonstrate the benefits of using HMMs for this problem.
Creating High-quality Roadmaps for Motion Planning in Virtual Environments

Our goal is to create road maps that are particularly suited for motion planning in virtual environments. We use our reachability roadmap method to compute an initial, resolution complete roadmap. This roadmap is small which keeps query times and memory consumption low. However, for use in virtual environments, there are additional criteria that must be satisfied. In particular, we require that the roadmap contains useful cycles. These provide short paths and alternative routes which allow for variation in the routes a moving object can take. We will show how to incorporate such cycles. In addition, we provide high-clearance paths by retracting the edges of the roadmap to the medial axis. Since all operations are performed in a preprocessing phase, high-quality paths can be extracted in real-time as is required in interactive applications
Dual Priority Scheduling: A Means of Providing Flexibility in Hard Real-time Systems

In this paper, we present a new strategy for providing flexibility in hard real-time systems. This approach, based on dual priorities, retains the offline guarantees afforded to crucial tasks by fixed priority scheduling. Further, it provides an efficient method of responsively scheduling soft tasks and a means of providing online guarantees for tasks with firm deadlines. An effective O (n ) acceptance test is derived in the paper. Supported by the analysis, acceptance tests and mechanisms described, the dual priority approach provides a basis for combining the benefits of guaranteeing hard requirements with the flexibility inherent in the besteffort paradigm.