Miracle-dz/UniFAR-FTUs huggingface dataset:
mAnI: Movie Amalgamation using Neural Imitation

Cross-modal data retrieval has been the basis of various creative tasks performed by Artificial Intelligence (AI). One such highly challenging task for AI is to convert a book into its corresponding movie, which most of the creative film makers do as of today. In this research, we take the first step towards it by visualizing the content of a book using its corresponding movie visuals. Given a set of sentences from a book or even a fan-fiction written in the same universe, we employ deep learning models to visualize the input by stitching together relevant frames from the movie. We studied and compared three different types of setting to match the book with the movie content: (i) Dialog model: using only the dialog from the movie, (ii) Visual model: using only the visual content from the movie, and (iii) Hybrid model: using the dialog and the visual content from the movie. Experiments on the publicly available MovieBook dataset shows the effectiveness of the proposed models.
Does aerobic exercise intensity affect health‐related parameters in overweight women?

The aim of this study was to compare the effect of a cycling training programme performed at intensity corresponding to the lowest value of the respiratory quotient (RQ) versus at intensity corresponding to the ventilatory threshold (VT), on body composition and health‐related parameters in overweight women. Thirty‐two sedentary obese women (27–42 years old) were studied in a randomized trial of either RQ (n = 17) or VT (n = 15). RQ and VT training sessions were equalized by time (60 min) and performed in a cycloergometer. Anthropometry, body composition, lipid profile, glucose, basal metabolic rate (BMR) and fitness (maximal oxygen uptake) were evaluated before and after 12 weeks of intervention. Body weight, body mass index, fatness and fitness were improved in both groups (P<0·001). Triglycerides (TG) levels decreased only in response to RQ (P<0·001) and fat‐free mass (FFM) to VT (P = 0·002). No differences were observed between groups. Both exercise intensities seem to be effective for improving health in overweight women. However, low‐intensity compared with the high‐intensity exercise training appears to have additional benefits on TG levels and to maintenance of FFM.
IEEE 802.11AH: the WiFi approach for M2M communications

M2M communications are positioned to be one of the fastest growing technology segments in the next decade. Sensor and actuator networks connect communication machines and devices so that they automatically transmit information, serving the growing demand for environmental data acquisition. The IEEE 802.11ah Task Group is working on a new standard to address the particular requirements of M2M networks: a large number of power-constrained stations; a long transmission range; small and infrequent data messages; low data rates; and a non-critical delay. This article explores the key features of this new standard, especially those related to the reduction of energy consumption in the medium access control layer. Given these requirements, a performance assessment of IEEE 802.11ah in four common M2M scenarios, i.e. agriculture monitoring, smart metering, industrial automation, and animal monitoring, is presented.
Analyzing the performance and energy impact of 3D memory integration on embedded DSPs

Recently, three-dimensional integration technology has allowed researchers and designers to explore novel architectures for computing systems. Due to the memory-intensive nature of signal processing systems, DSPs can greatly benefit from 3D memory integration technology realized by vertically stacking high-density memory below processing cores. In this paper, we analyze the energy and performance impacts of 3D memory integration in DSP systems by exploring a wide variety of memory configurations the technology enables. Our analysis demonstrates that a 3D memory hierarchy can increase performance by an average of 20.6% while decreasing energy by 6.7% when compared to our baseline 2D memory hierarchy, with a processor similar to a Texas Instrument C67× DSP. This proposed memory architecture also allows us to scale the voltage and frequency to decrease energy consumption by an average of 23% without decreasing performance.
Multimerization rules for G-quadruplexes

Abstract G-quadruplexes can multimerize under certain conditions, but the sequence requirements of such structures are not well understood. In this study, we investigated the ability of all possible variants of the central tetrad in a monomeric, parallel-strand G-quadruplex to form higher-order structures. Although most of these 256 variants existed primarily as monomers under the conditions of our screen, ∼10% formed dimers or tetramers. These structures could form in a wide range of monovalent and divalent metal ions, and folding was highly cooperative in both KCl and MgCl2. As was previously shown for G-quadruplexes that bind GTP and promote peroxidase reactions, G-quadruplexes that form dimers and tetramers have distinct sequence requirements. Some mutants could also form heteromultimers, and a second screen was performed to characterize the sequence requirements of these structures. Taken together, these experiments provide new insights into the sequence requirements and structures of both homomultimeric and heteromultimeric G-quadruplexes.
A Lexicon Verification Strategy in a BLSTM Cascade Framework

Handwriting recognition always has been a difficult problem, with image related problems on the one hand and language processing on the other hand. Significant improvements have been made in handwriting recognition thanks to new recurrent neural networks based on LSTM cells. The high character recognition performances of these networks are almost systematically combined with linguistic knowledge, that is to say lexicon driven decoding method, to correct character misrecognitions. However with such high performance, we wonder on the possibility to use them without lexical decoding for word recognition. In this article, we explore this idea by proposing a lexicon verification strategy that provides a very low error rate, while conceding a consequent amount of rejects. Therefore, this verification approach perfectly fits in a cascade framework, where the rejects of a classifier are processed by the next cascade’s classifier. The resulting system is nearly insensitive to the lexicon size, while providing a much faster decoding process than a standard lexicon driven decoding. Furthermore, when processing the final rejects of the cascade by a basic lexical decoding, our approach reach state of the art performance for isolated word recognition.
Recovery of infectious SV5 from cloned DNA and expression of a foreign gene.

A complete cDNA clone of the genome (15,246 nucleotides) of the paramyxovirus SV5 was constructed from cDNAs such that an anti-genome RNA could be transcribed by T7 RNA polymerase and the correct 3' end generated by cleavage using hepatitis delta virus ribozyme. The plasmid encoding the antigenome sequence was transfected into cells previously infected with recombinant vaccinia virus that expressed T7 RNA polymerase, together with helper plasmids that expressed the viral replication proteins, NP, P, and L, under the control of the T7 polymerase promoter. Rescue of the RNA genome from DNA was demonstrated by recovering SV5 with the tag restriction sites introduced into the DNA clone, using RT-PCR of the genome RNA and nucleotide sequencing. Rescue of SV5 from DNA did not require expression of the viral V protein as a helper plasmid, suggesting that V protein is not essential for initial replication. The infectious cDNA of SV5 was also manipulated to express green fluorescent protein (GFP) under the control of SV5 transcriptional start and stop signals introduced between the HN and L genes. The amount of GFP that was expressed varied depending on the nature of the newly introduced transcription signals.
The measurement of similarity in stock data documents collections

In this paper we focused on the similarity of documents, stored in a documents collection, against a submitted query. This topic is also known as Document versus Query similarity or Nearest Neighbors method. The analysis of experimental queries conducted to a collection of 4984 financial documents (related to stock data and varying in size from few words to a lot of pages) give us an indication that the Nearest Neighbor method presents a "preference" to short documents against longer ones. A new calculation of the similarity measure is proposed and some experimentation with the new measure is discussed.
Cohort, age, and imagery in children's paired-associate learning.

REESE, HAYNE W. Cohort, Age, and Imagery in Children's Paired-Associate Learning. CHILD DEVELOPMENT, 1974, 45, 1176-1178. There appears to have been a cohort change around November 1969 in the ability of preschoolers to learn paired associates and in the ability of younger preschoolers to utilize imposed pictorial elaborations. The utilization of imposed elaborations presumably reflects the operation of cognitive skills; therefore, the cohort change is interpreted to reflect acceleration of cognitive development. The cause of this acceleration may have been the nationwide broadcasting of "Sesame Street," which began in November 1969.
Activity of Fosfomycin against Extended-Spectrum-β-Lactamase-Producing Uropathogens in Patients in the Community and Hospitalized Patients

ABSTRACT Few oral antibiotics exist for the empirical treatment of extended-spectrum β-lactamase (ESBL) urinary tract infections (UTI). In this study, we sought to determine the activity of fosfomycin against ESBL-producing uropathogens from patients at 3 Veterans Affairs (VA) facilities between 2010 and 2013. Among the ESBL uropathogens, 19.9% were fosfomycin resistant. Klebsiella species were more likely than Escherichia coli to be resistant (46% versus 4%; P < 0.001). Fosfomycin remains active against a majority of the ESBL uropathogens, although resistance among Klebsiella spp. was higher than that in previous reports.
Evidence for overlapping genetic influences on autistic and ADHD behaviours in a community twin sample.

BACKGROUND High levels of clinical comorbidity have been reported between autistic spectrum disorders (ASD) and attention deficit hyperactivity disorder (ADHD). This study takes an individual differences approach to determine the degree of phenotypic and aetiological overlap between autistic traits and ADHD behaviours in the general population. METHODS The Twins Early Development Study is a community sample born in England and Wales. Families with twins born in 1994-6 were invited to join; 6,771 families participated in the study when the twins were 8 years old. Parents completed the Childhood Asperger Syndrome Test and the Conners' DSM-IV subscales. Teacher data were also collected on a sub-sample. High scores on the Conners' subscales were used to identify possible ADHD cases. Potential ASD cases were interviewed using the Development and Well-Being Assessment. Multivariate structural equation model-fitting was employed, as well as DeFries Fulker extremes analysis and liability threshold model-fitting. RESULTS Significant correlations were found between autistic and ADHD traits in the general population (.54 for parent data, .51 for teacher data). In the bivariate models, all genetic correlations were >. 50, indicating a moderate degree of overlap in genetic influences on autistic and ADHD traits, both throughout the general population and at the quantitative extreme. This phenotypic and genetic overlap still held when sex, IQ and conduct problems were controlled for, for both parent and teacher data. There was also substantial overlap in suspected cases (41% of children who met criteria for an ASD had suspected ADHD; 22% with suspected ADHD met criteria for an ASD). CONCLUSIONS These results suggest there are some common genetic influences operating across autistic traits and ADHD behaviours throughout normal variation and at the extreme. This is relevant for molecular genetic research, as well as for psychiatrists and psychologists, who may have assumed these two sets of behaviours are independent.
The Variability of the Galvanic Body-Sway Test

The variability of galvanic unilateral weakness (UW) and directional preponderance (DP) was studied in 31 normal subjects. Variability of absolute UW and DP increased linearly with increasing response amplitude. Variability of percent UW and DP was very high at low response amplitudes. However, it declined rapidly as response amplitude increased and reached a relatively constant level at a total response amplitude of about 25 mm (though continuing to decline slightly). The percent measurements thus appear best for clinical use, provided the total response amplitude is greater than 25 mm. Increasing stimulus current caused a marked decrease in percent UW and DP variability. Therefore, for clinical testing we use the highest stimulus that does not produce discomfort (1.0 mA). Varying stimulus rise-fall time did not affect test variability. Subjects with greater spontaneous sway tended to have less variable percent UW and DP, thus suggesting that reducing subject stability might improve the galvanic test. Test-retest variability differed significantly from subject to subject. Standard deviations from subjects with the most variable responses did not differ significantly from standard deviations across all subjects. This result suggested that the primary determinant of limit of normal is the inherent variability of the test rather than differences among subjects.
A 4 GHz 130 nm address generation unit with 32-bit sparse-tree adder core

This paper describes a 32-bit Address Generation Unit (AGU) designed for 4 GHz operation in 1.2 V, 130 nm technology. The AGU utilizes a 152 ps dual-V, sparse-tree adder core to achieve 20% delay reduction, 80% lower interconnect density and a low (1%) active energy leakage component. The semidynamic implementation enables an average energy profile similar to static CMOS, with good sub-130 nm scaling trend.
Unitarity, Becchi-Rouet-Stora-Tyutin symmetry, and Ward identities in orbifold gauge theories

We discuss the use of BRST symmetry and the resulting Ward identities as consistency checks for orbifold gauge theories in an arbitrary number of dimensions. We demonstrate that both the usual orbifold symmetry breaking and the recently proposed Higgsless symmetry breaking are consistent with the nilpotency of the BRST transformation. The corresponding Ward identities for four-point functions of the theory engender relations among the coupling constants that are equivalent to the sum rules from tree level unitarity. We present the complete set of these sum rules also for inelastic scattering and discuss applications to six-dimensional models and to incomplete matter multiplets on orbifold fixed points.
Role of Dicer and Drosha for Endothelial MicroRNA Expression and Angiogenesis

MicroRNAs (miRNAs) are small noncoding RNAs that regulate gene expression by binding to the cellular transcript leading to translational repression or degradation of the target mRNA. Dicer and Drosha are the miRNA processing enzymes that are required for the maturation of miRNAs. Here, we investigated the role of Dicer and Drosha for angiogenesis. Endothelial cells were transfected with siRNA against Dicer and Drosha to inhibit miRNA biogenesis. Genetic silencing of Dicer and Drosha significantly reduced capillary sprouting of endothelial cells and tube forming activity. Migration of endothelial cells was significantly decreased in Dicer siRNA–transfected cells, whereas Drosha siRNA had no effect. Silencing of Dicer but not of Drosha reduced angiogenesis in vivo. Next, we attempted to identify miRNAs expressed in endothelial cells. A screening analysis of 168 human miRNAs using real-time PCR revealed that members of the let-7 family, mir-21, mir-126, mir-221, and mir-222 are highly expressed in endothelial cells. Dicer and Drosha siRNA reduced lef-7f and mir-27b expression. Inhibitors against let-7f and mir-27b also reduced sprout formation indicating that let-7f and mir-27b promote angiogenesis by targeting antiangiogenic genes. In silico analysis of predicted targets for let-7 cluster identified the endogenous angiogenesis inhibitor thrombospondin-1. Indeed, Dicer and Drosha siRNA significantly increased the expression of thrombospondin-1. Taken together, transient reduction of the miRNA-regulating enzyme Dicer impairs angiogenesis in vitro and in vivo, whereas Drosha siRNA induced a minor antiangiogenic effect in vitro and was not effective in vivo. The let-7 family and mir-27b appear to be attractive targets for modulating angiogenesis.
VAMP/synaptobrevin isoforms 1 and 2 are widely and differentially expressed in nonneuronal tissues

VAMP/synaptobrevin is part of the synaptic vesicle docking and fusion complex and plays a central role in neuroexocytosis. Two VAMP (vesicle- associated membrane protein) isoforms are expressed in the nervous system and are differently distributed among the specialized parts of the tissue. Here, VAMP-1 and -2 are shown to be present in all rat tissues tested, including kidney, adrenal gland, liver, pancreas, thyroid, heart, and smooth muscle. The two isoforms are differentially expressed in various tissues and their level may depend on differentiation. VAMP-1 is restricted to exocrine pancreas and to kidney tubular cells, whereas VAMP-2 is the predominant isoform present in Langerhans islets and in glomerular cells. Both isoforms show a patchy vesicular intracellular distribution in confocal microscopy. The present results provide evidence for the importance of neuronal VAMP proteins in the physiology of all cells.
Lecture notes for “ Analysis of Algorithms ” : Minimum Spanning Trees Lecturer :

We present a general framework for obtaining efficient algorithms for computing minimum spanning trees. We use this framework to derive the classical algorithms of Prim, Kruskal and Bor̊uvka. We then describe the randomized linear-time algorithm of Karger, Klein and Tarjan. The algorithm of Karger, Klein and Tarjan uses deterministic linear-time implementations of a verification algorithm of Komlós. 1 Minimum Spanning Trees Let G = (V,E,w) be a weighted undirected graph, where w : E → R is a weight (or cost) function defined on its edges. A subgraph T = (V,ET ) of G which is a tree is said to be a spanning tree of G. The weight of a spanning tree T = (V,ET ) of G is defined to be w(T ) = ∑ e∈ET w(e). In the Minimum Spanning Tree (MST) problem we are asked to find a spanning tree of minimum weight of a given connected input graph G = (V,E).
Performance evaluation for multicast transmissions in VANET

Vehicular ad hoc network (VANET) is a network that is formed when vehicles with wireless transceiver have the need to communicate with each other. Although VANET shares some similarities with mobile ad hoc network (MANET), the dynamic nature of VANET has posed a challenge in designing routing protocols. This paper shows the performance evaluation between unicast and multicast routing protocols implemented in a vehicular environment that is based on Manhattan grid model for transmission between one sender and multiple receivers. Unlike multicast transmission in geocast routing, the multiple receivers for the paper scenario are not located in a specific geographic region. Performance is evaluated in term of average end-to-end delay, throughput, packet delivery ratio and routing overhead. The results reveal a consistent performance for multicast protocols as the number of receiving nodes increases during the transmission.
NEUROPROTECTIVE AND ANTINOCICEPTIVE EFFECT OF CURCUMIN IN DIABETIC NEUROPATHY IN RATS

The present study reports the preventive effects of Curcumin against the progression of diabetic neuropathy in STZ induced diabetic rats.Curcumin (200 mg/kg body weight) was orally administered to STZ induced diabetic rats for 3 weeks. Metformin (150mg/kg body weight) was used as reference drug. Tail flick test, Hot plate test, Allodyniaand Rota-rod tests were conducted to record nociceptive and motor co-ordination changes at different time intervals i.e., 2 nd and 3 rd week. Nerve conduction velocity was recorded. Aldose reductase, Cyclooxygenase, Prostaglandin peroxidase and Na + K + ATPase activity were determined after 3 weeks. Histopathological evaluations of sciatic nerve were also performed. Curcumin treatments to diabetic rats for 21 days significantly reduced plasma glucose content. Curcumin increased tail flick latency significantly in diabetic rats. It also showed its protection against nociceptive behaviour in hot plate test and allodynia test. NCVs were also attenuated by treatment of curcumin. The significant decrease in AR shows its protection against diabetic complications. Decreased Cyclooxygenase, Prostaglandin peroxidase suggests its protections against inflammation and pain. Progressive morphological alterations induced by diabetes in sciatic nerve were protected with Curcumin treatment. The results of nociceptive, motor, conduction velocity, histological and biochemical markers indicate the protective antinociceptive, anti-inflammatory and neuroprotective properties of Curcumin in preventing the progression of diabetic neuropathy.
Patisserie: Support for Parameter Sweeps in a Fault-tolerant, Massively Parallel, Peer-to-peer Simulation Environment

— We propose and implement a parameter sweep framework built upon a fault tolerant, massively parallel, peer-to-peer infrastructure. Our framework is composed of a scheduling algorithm based on the Particle Swarm Optimization algorithm and peer-to-peer storage and query functionality, built on the Pastry peer-to-peer framework. The Particle Swarm Optimization algorithm is a perfect fit for a fault tolerant, distributed environment, as it is able to steer the simulations using local information and minimal communication. PSO is naturally fault tolerant through redundancy and an underlying structure of neighborhoods. Building query and storage functionality on top of a peer-to-peer network addresses scalability of the number of compute nodes.