Miracle-dz/UniFAR-FTUs huggingface dataset:
BLOOD GLUCOSE LEVELS

Monroe, JC, Naugle, KM, and Naugle, KE. Effect of acute bouts of volume-matched high-intensity resistance training protocols on blood glucose levels. J Strength Cond Res 34(2): 445– 450, 2020—Resistance exercise has the capability to alter glucose metabolism in healthy adults; however, to what extent single sessions of varying intensities of resistance exercise affect capillary glucose levels is not completely understood. The purpose of this study was to compare the effect of different resistance training intensities on capillary blood glucose levels in healthy adults. Thirteen resistance-trained men (age 24.4 6 2.7 years) participated in an evaluation and 2 separate experimental resistance training sessions. The experimental sessions were a high-intensity resistance training session (HT) consisting of 7 sets of 3 repetitions at 90% of the participant’s estimated 1 repetition maximum (e1RM), and a moderate-/high-intensity resistance training session (MT) consisting of 3 sets of 9 repetitions at 70% of the participant’s e1RM. At least 7 days separated the completion of each session. Four glucose readings during each session were recorded using a capillary glucometer: G1 (baseline); G2 (pre-exercise); G3 (after exercise); and G4 (10 minutes after exercise). Results were analyzed using repeated-measures analysis of variances. Analysis revealed a significant decrease in blood glucose levels between G2 and G3, and G2 and G4 in both the HT and MT experimental sessions (p = 0.045). In addition, there was a significant difference in the magnitude of change in glucose levels from G2 to G3 between HT and MT (HT = 238.2 6 5.3% SE, p = 0.042, MT = 222.2 6 5.9% SE). Although both of the acute resistance exercise protocols decreased blood glucose levels in healthy men, a greater decrease in blood glucose levels from pre-exercise to post-exercise was observed in HT group compared with MT group.
Use of Semantic Co-relation in Target Audience Profiling

With more companies doing businesses on social media, how can a company stand out from the increasingly crowded social space to find prospective customers from the audience in social media? It remains a challenge to sift through the huge amount of social media data, integrate the information and correlate among the different keywords or entities to form a more comprehensive view. The proposed solution aims to combine social media data and semantic linked data to extract relevant information and capture the relationship among the entities from content shared by the audience. With a targeted audience profiling, company is able to spend marketing dollars more effectively by sending the right offers to the right audience and hence maximize marketing efficiency and improve return of investment (ROI).
Formation and Function of the Rbl2p–β-Tubulin Complex

ABSTRACT The yeast protein Rbl2p suppresses the deleterious effects of excess β-tubulin as efficiently as does α-tubulin. Both in vivo and in vitro, Rbl2p forms a complex with β-tubulin that does not contain α-tubulin, thus defining a second pool of β-tubulin in the cell. Formation of the complex depends upon the conformation of β-tubulin. Newly synthesized β-tubulin can bind to Rbl2p before it binds to α-tubulin. Rbl2p can also bind β-tubulin from the α/β-tubulin heterodimer, apparently by competing with α-tubulin. The Rbl2p–β-tubulin complex has a half-life of ∼2.5 h and is less stable than the α/β-tubulin heterodimer. The results of our experiments explain both how excess Rbl2p can rescue cells overexpressing β-tubulin and how it can be deleterious in a wild-type background. They also suggest that the Rbl2p–β-tubulin complex is part of a cellular mechanism for regulating the levels and dimerization of tubulin chains.
The Wickedness and Complexity of Decision Making in Geoengineering

Geoengineering, the deliberate large-scale manipulation of the planetary environment to counteract anthropogenic climate change, has been more widely considered as an accompanying strategy to conventional climate change mitigation measures to combat global warming. However, this approach is far from achieving agreements from different institutional domains. Geoengineering, intended to be deployed on a planetary scale, would cause fundamental interventions to the human-environment system and create new risks and problems with high uncertainty and uneven distribution around the globe. Apart from the physical effects, conflicting attitudes appear from social, economic, and environmental worldviews in the international community. The intertwined sociotechnical complexity and conflicting attitudes make geoengineering a wicked and complex issue. This article elaborates the wickedness and complexity from a system perspective, primarily for an interdisciplinary, policy-oriented audience.
Getting recommender systems to think outside the box

We examine the case of over-specialization in recommender systems, which results from returning items that are too similar to those previously rated by the user. We propose Outside-The-Box (otb) recommendation, which takes some risk to help users make fresh discoveries, while maintaining high relevance. The proposed formalization relies on item regions and attempts to identify regions that are under-exposed to the user. We develop a recommendation algorithm which achieves a compromise between relevance and risk to find otb items. We evaluate this approach on the MovieLens data set and compare our otb recommendations against conventional recommendation strategies.
Image-based road network clearing without localization and without maps using a team of UAVs

We address the problem of clearing an arbitrary and unknown network of roads using an organized team of Unmanned Aerial Vehicles (UAVs) equipped with a monocular down-facing camera, an altimeter, plus high-bandwidth short-range and low-bandwidth long-range communication systems. We allow the UAVs to possibly split in several subgroups. In each subgroup a leader guides the motion employing a hierarchical coordination. A feature/image-based algorithm guides the subgroup toward the unexplored region without any use of global localization or environmental mapping. At the same time all the entry-points of the the explored region are kept under control, so that any moving object that enters or exits the previously cleared area. Simulative results on real aerial images demonstrate the functionalities and the effectiveness of the proposed algorithm.
Managing Quality of Experience for Wireless VOIP Using Noncooperative Games

We model the user's quality of experience (QoE) in a wireless voice over IP (VoIP) service as a function of the amount of effort the user has to put to continue her conversation. We assume that users would quit or terminate an ongoing call if they have to put more efforts than they could tolerate. Not knowing the tolerance threshold of each individual user, the service provider faces a decision dilemma of whether to fix the network problem immediately whenever he detects a user effort in the VoIP system, or ignore it with the hope that the user may still continue the call anyway. In this paper, we formulate the provider's dilemma as a non-cooperative game between the provider and the VoIP user experiencing a deteriorating QoE. We demonstrate that providers implementing the equilibrium solutions can expect to not only increase their revenues, but also reduce the number of cases when users quit out of frustration thus minimizing potential churning. We also discuss conditions under which a sophisticated user may or may not benefit from faking unwarranted efforts with a goal of receiving a better service from the provider. Finally, we conduct a subjective experiment of VoIP over WiFi, which verifies the key model assumption that perceptual quality is negatively correlated to the amount of effort the user has to put to continue the call.
Targeted downregulation of caveolin‐1 is sufficient to drive cell transformation and hyperactivate the p42/44 MAP kinase cascade

Caveolin‐1 is a principal component of caveolae membranes in vivo. Caveolin‐1 mRNA and protein expression are lost or reduced during cell transformation by activated oncogenes. Interestingly, the human caveolin‐1 gene is localized to a suspected tumor suppressor locus (7q31.1). However, it remains unknown whether downregulation of caveolin‐1 is sufficient to mediate cell transformation or tumorigenicity. Here, we employ an antisense approach to derive stable NIH 3T3 cell lines that express dramatically reduced levels of caveolin‐1 but contain normal amounts of caveolin‐2. NIH 3T3 cells harboring antisense caveolin‐1 exhibit anchorage‐independent growth, form tumors in immunodeficient mice and show hyperactivation of the p42/44 MAP kinase cascade. Importantly, transformation induced by caveolin‐1 downregulation is reversed when caveolin‐1 protein levels are restored to normal by loss of the caveolin‐1 antisense vector. In addition, we show that in normal NIH 3T3 cells, caveolin‐1 expression levels are tightly regulated by specific growth factor stimuli and cell density. Our results suggest that upregulation of caveolin‐1 may be important in mediating contact inhibition and negatively regulating the activation state of the p42/44 MAP kinase cascade.
Comparison of Anti-inflammatory Activities of Six Curcuma Rhizomes: A Possible Curcuminoid-independent Pathway Mediated by Curcuma phaeocaulis Extract

We aimed to compare the anti-inflammatory activities of six species of Curcuma drugs using adjuvant arthritis model mice. When orally administered 1 day before the injection of adjuvant, the methanol extract of Curcuma phaeocaulis significantly inhibited paw swelling and the serum haptoglobin concentration in adjuvant arthritis mice. Also when orally administered 1 day after the injection of adjuvant, the methanol extract of Curcuma phaeocaulis significantly inhibited paw swelling. Other Curcuma species (Curcuma longa, Curcuma wenyujin, Curcuma kwangsiensis, Curcuma zedoaria and Curcuma aromatica) had no significant inhibitory effects on adjuvant-induced paw swelling. Cyclooxygenase (COX)-2 activity was significantly inhibited by the methanol extract of C. phaeocaulis. Curcuminoids' (curcumin, bis-demethoxycurcumin and demethoxycurcumin) were rich in C. longa, but less in C. phaeocaulis and C. aromatica, not in C. wenyujin, C. kwangsiensis and C. zedoaria, suggesting that curcuminoids' contents do not relate to inhibition of arthritis swelling. Therefore, C. phaeocaulis may be a useful drug among Curcuma species for acute inflammation, and the active constituents of C. phaeocaulis are not curcuminoids.
The planar spectrum in U(N)-invariant quantum mechanics by Fock space methods: I. The bosonic case

Prompted by recent results on Susy-U(N)-invariant quantum mechanics in the large N limit by Veneziano and Wosiek, we have examined the planar spectrum in the full Hilbert space of U(N)-invariant states built on the Fock vacuum by applying any U(N)-invariant combinations of creation-operators. We present results about 1) the supersymmetric model in the bosonic sector, 2) the standard quartic Hamiltonian. This latter is useful to check our techniques against the exact result of Brezin et al. The SuSy case is where Fock space methods prove to be the most efficient: it turns out that the problem is separable and the exact planar spectrum can be expressed in terms of the single-trace spectrum. In the case of the anharmonic oscillator, on the other hand, the Fock space analysis is quite cumbersome due to the presence of large off-diagonal O(N) terms coupling subspaces with different number of traces; these terms should be absorbed before taking the planar limit and recovering the known planar spectrum. We give analytical and numerical evidence that good qualitative information on the spectrum can be obtained this way.
Channel Loss Based Energy Consumption Model for Low-Power Wireless Communications

Transmission power control can significantly improve energy-efficiency of wireless sensor network communications. Power consumption models are typically based on dependence of channel attenuation on distance. However, in practice, information on distance is usually not available and the dependence of channel attenuation on distance is not sufficiently accurate. Therefore, we propose more accurate power consumption model that uses information on total channel-loss, available on the most current low-power transceivers. We formulate the problems of selecting single-hop vs. multi-hop communication, and minimal energy route optimization, based on the proposed power consumption model.
Durable Goods and Persistent Recession

In this paper, we develop a two-sector DSGE model with infrequent purchases of durable goods and use it to address the following three issues. Does this model help explain the recent weak recovery? Can this model help resolve the absence of co-movement between durable and non-durable consumption? Is the dynamic behavior of this model similar with that of the (durable goods) stock adjustment-cost model? First, we allow for the possibility of (temporary) future durable-goods price shocks with ambiguous signals in expectations of households. We then illustrate that when anticipation of these future durable-goods price shocks takes place, the duration of recession can increase. Second, we demonstrate that the presence of idiosyncratic preference shocks to leisure in the absence of complete state-contingent financial market helps explain co-movement between durable and non-durable consumption. The main reason for this result is that, with heterogenous households and financial market incompleteness, we derive the aggregate consumption function by aggregating individual consumption functions that connect each household’s consumption directly to its wealth including housing wealth. Third, we demonstrate that since infrequent purchases of durable-goods generate inter-temporal links of durable-goods holdings, the dynamic responses of our model with respect to interest rate shocks can be similar to those of (durable goods) stockaccumulation models with convex adjustment costs widely used in recent literature. JEL classification: E21; E31; E32
Automatic generation of embedded memory wrapper for multiprocessor SoC

Embedded memory plays a critical role to improve performances of systems-on-chip (SoC). In this paper, we present a new methodology for embedded memory design in the case of application specific multiprocessor system-on-chip. This approach facilitates the integration of standard memory components. The concept of memory wrapper allows automatic adaptation of physical memory interfaces to a communication network that may have a different number of access ports. We give also a generic architecture to produce this memory wrapper. This approach has successfully been applied on a low-level image processing application.
A physically based compact model for eigenenergy in in rich In1−xGaxAs MOSFETs using modified Airy function approximation

We propose a compact model for calculating the quantized energy levels in InGaAs MOSFETs with Al2O3 gate dielectric. The model is based on the modified Airy function approximation, originally developed for Si nano-MOSFETs. The parameters of the model are extracted from numerical results calculated by self-consistent solution of one-dimensional Schrödinger and Poisson equation including the effect of wave function penetration into the gate dielectric. It is found that the compact model parameters are not sensitive to the variations in the In content in the channel layer and to the substrate doping density. Therefore, constant values of the parameters are proposed for both electrons and holes.
Dynamic range variability of sound energy decay for reverberation time estimation in railway noisy environments

In this paper, we are interested in real time estimation of reverberation time (T60) for public address systems used to broadcast vocal announces in noisy railway environment. As the T60 of a space varies when its occupancy level changes, dynamic estimation of this parameter is needed for several purposes including speech enhancement algorithms. In this work, the standard “sound energy decay” method for T60 estimation is considered. We specifically highlight the limitations of this method when used for in-vivo T60 estimation: the reduction of the sound decay length, the non-stationarity of the excitation signal, the ambient noise and the adaptive energy decay estimation combine to reduce the dynamic range used for the estimation of T60. An alternative is then proposed in order to predict the boundaries of the dynamic decay regarding in-vivo estimation conditions. A set of real impulse responses and recordings of railway station ambient noises are used to analyze and quantify this dynamic range variability.
Pilot-Aided Carrier Frequency Estimation for Filter-Bank Multicarrier Wireless Communications on Doubly-Selective Channels

Multicarrier modulation techniques are currently the key technology in the area of high-data-rate transmission over wireless fading channels. Their considerable vulnerability to carrier frequency offsets, however, hinders their appealing features and demands adequate countermeasures. This paper contributes with a class of frequency estimation algorithms intended for filter bank burst-mode multicarrier transmission over time-frequency selective fading channels. All algorithms are derived from the maximum likelihood principle, exhibit a feedforward structure and are based on the use of pilot symbols scattered throughout the burst. The accuracy of the proposed schemes is investigated in typical mobile wireless scenarios, showing that they outperform maximum likelihood non-data-aided frequency recovery in spite of a substantially lower computational requirement.
Advanced Coding Schemes against Jamming in Telecommand Links

The aim of this paper is to study the performance of some coding schemes recently proposed for updating the TC channel coding standard for space applications, in the presence of jamming. Besides low-density parity-check codes, that appear as the most eligible candidates, we also consider other solutions based on parallel turbo codes and extended BCH codes. We show that all these schemes offer very good performance, which approaches the theoretical limits achievable.
Traditional Uses, Phytochemistry, and Pharmacology of Olea europaea (Olive)

Aim of the Review. To grasp the fragmented information available on the botany, traditional uses, phytochemistry, pharmacology, and toxicology of Olea europaea to explore its therapeutic potential and future research opportunities. Material and Methods. All the available information on O. europaea was collected via electronic search (using Pubmed, Scirus, Google Scholar, and Web of Science) and a library search. Results. Ethnomedical uses of O. europaea are recorded throughout the world where it has been used to treat various ailments. Phytochemical research had led to the isolation of flavonoids, secoiridoids, iridoids, flavanones, biophenols, triterpenes, benzoic acid derivatives, isochromans, and other classes of secondary metabolites from O. europaea. The plant materials and isolated components have shown a wide spectrum of in vitro and in vivo pharmacological activities like antidiabetic, anticonvulsant, antioxidant, anti-inflammatory, immunomodulatory, analgesic, antimicrobial, antiviral, antihypertensive, anticancer, antihyperglycemic, antinociceptive, gastroprotective, and wound healing activities. Conclusions. O. europaea emerged as a good source of traditional medicine for the treatment of various ailments. The outcomes of phytochemical and pharmacological studies reported in this review will further expand its existing therapeutic potential and provide a convincing support to its future clinical use in modern medicine.
Atoh1 as a Coordinator of Sensory Hair Cell Development and Regeneration in the Cochlea

Cochlear sensory hair cells (HCs) are crucial for hearing as mechanoreceptors of the auditory systems. Clarification of transcriptional regulation for the cochlear sensory HC development is crucial for the improvement of cell replacement therapies for hearing loss. Transcription factor Atoh1 is the key player during HC development and regeneration. In this review, we will focus on Atoh1 and its related signaling pathways (Notch, fibroblast growth factor, and Wnt/β-catenin signaling) involved in the development of cochlear sensory HCs. We will also discuss the potential applicability of these signals for the induction of HC regeneration.
Incentive Mechanisms in P2P Media Streaming Systems

Free riding, whereby a peer utilizes network resources but doesn't contribute services, could have a huge impact on the efficacy of peer-to-peer media streaming systems, leading to scalability issues and service degradation. Here, the authors categorize, analyze, and compare a range of incentive mechanisms proposed for P2P streaming systems.
Perfect Dimensionality Recovery by Variational Bayesian PCA

The variational Bayesian (VB) approach is one of the best tractable approximations to the Bayesian estimation, and it was demonstrated to perform well in many applications. However, its good performance was not fully understood theoretically. For example, VB sometimes produces a sparse solution, which is regarded as a practical advantage of VB, but such sparsity is hardly observed in the rigorous Bayesian estimation. In this paper, we focus on probabilistic PCA and give more theoretical insight into the empirical success of VB. More specifically, for the situation where the noise variance is unknown, we derive a sufficient condition for perfect recovery of the true PCA dimensionality in the large-scale limit when the size of an observed matrix goes to infinity. In our analysis, we obtain bounds for a noise variance estimator and simple closed-form solutions for other parameters, which themselves are actually very useful for better implementation of VB-PCA.
A General Technique for Top-$k$ Geometric Intersection Query Problems

In a top- $k$ Geometric Intersection Query (top- $k$ GIQ) problem, a set of $n$ weighted, geometric objects in ${\bb R}^d$ is to be pre-processed into a compact data structure so that for any query geometric object, $q$ , and integer $k>0$ , the $k$ largest-weight objects intersected by $q$ can be reported efficiently. While the top- $k$ problem has been studied extensively for non-geometric problems (e.g., recommender systems), the geometric version has received little attention. This paper gives a general technique to solve any top- $k$ GIQ problem efficiently. The technique relies only on the availability of an efficient solution for the underlying (non-top- $k$ ) GIQ problem, which is often the case. Using this, asymptotically efficient solutions are derived for several top- $k$ GIQ problems, including top- $k$ orthogonal and circular range search, point enclosure search, halfspace range search, etc. Implementations of some of these solutions, using practical data structures, show that they are quite efficient in practice. This paper also does a formal investigation of the hardness of the top- $k$ GIQ problem, which reveals interesting connections between the top- $k$ GIQ problem and the underlying (non-top- $k$ ) GIQ problem.
The influence of proportional jitter and delay on end to end delay in differentiated service network

There exist some studies in proportional scheduling algorithms for differentiated service networks which schedule the packets between different classes proportionally based on certain metrics, such as bandwidth, loss and delay. In this paper, the behaviors of RJPS (Relative Jitter Packet Scheduler) and another proportional delay scheduler (WTP), as well as its influence on the playout buffer, which uses the Concord delay adjustment algorithm, are examined. Our simulations show that RJPS is more convergent and produces a smaller delay than WTP via the same network with the same loss rate. Finally, we propose a network using both RJPS and WTP for minimizing the network delay of each class.