Miracle-dz/UniFAR-FTUs huggingface dataset:
Sleep period optimization model for layered video service delivery over eMBMS networks

Long Term Evolution-Advanced (LTE-A) and the evolved Multimedia Broadcast Multicast System (eMBMS) are the most promising technologies for the delivery of highly bandwidth demanding applications. In this paper we propose a green resource allocation strategy for the delivery of layered video streams to users with different propagation conditions. The goal of the proposed model is to minimize the user energy consumption. That goal is achieved by minimizing the time required by each user to receive the broadcast data via an efficient power transmission allocation model. A key point in our system model is that the reliability of layered video communications is ensured by means of the Random Linear Network Coding (RLNC) approach. Analytical results show that the proposed resource allocation model ensures the desired quality of service constraints, while the user energy footprint is significantly reduced.
Concurrent Design Methodology and Configuration Management of the SIEMENS EWSD - CCS7E Processor System Simulation

This paper outlines our successful Concurrent Design Methodology and Configuration Management adopted for a Processor system simulation at both VHDL and GATE level. The complexity of the system simulated was 4 PENTIUMs and 28 ASICs with a total gate count of 2.4 MGates. It has been proven that simulation of such a complex system can be done on VHDL level and the efficiency of finding and correcting errors early in the design cycle was demonstrated.
Design and characterization of an error-correcting code for the SONET STS-1 tributary

The authors have designed and characterized a single-error-correcting (SEC), double-error-detecting (DED) code applicable to the STS-1 SONET format. They show that if two of the presently unallocated bytes in the path overhead field of STS-1 are assigned for error-correction coding (ECC), a (6208, 6195) shortened extended Hamming code can be implemented using as few as 660 gates plus a 1-kbyte RAM IC, achieving (O8.6*10/sup -3/ P/sub 2//sup 2/) BER reduction with 139 mu s of signal delay. The authors explain how the existing BIP-8 error-monitoring byte of the STS-1 format could be integrated with the proposed ECC so that a net allocation of only one new STS-1 overhead byte is required for both error monitoring and error correction. The implementation method is such that all path, line, and section overhead functions in SONET can be performed at intermediate sites without requiring ECC decoding. The authors consider application alternatives and describe the forward-error-correction (FEC) circuit design and trial results. System issues are covered, including network delay, effects of error extension on BER, addition of double-error detection, performance monitoring, and options for intelligent network control and management of FEC functions. Codes related to their path-level design that are applicable to a number of other strategies for applying FEC in SONET are presented. >
Recall Systems: Effcient Learning and Use of Category Indices

We introduce the framework of recall systems for efficient learning and retrieval of categories when the number of categories is large. A recallsystem here is a simple feature-based intermediate filtering step which reduces the potential categories for an instance to a small manageable set. The correct categories from this set can then be determined using traditional classifiers. We present a formalization of the index learning problem and establish NP-hardness and approximation hardness. We proceed to give an efficient heuristic for learning indices, and evaluate it on several large data sets. In our experiments, the index is learned within minutes, and reduces the number of categories by several orders of magnitude, without affecting the quality of classification overall.
Design and characterization of an UWB wearable antenna

A new compact planar ultra-wideband antenna designed for on-body communications is presented. The antenna is characterized in free space, on a homogeneous phantom modeling a human arm, and on a realistic high-resolution whole-body voxel model. In all configurations, it demonstrates very satisfactory capabilities for on-body propagation. The results are presented for the return loss, radiation pattern, efficiency, E-field distribution, and specific absorption rate (SAR). The antenna shows very good performance within 3–11.2 GHz range, and therefore it might be used successfully for 3.1–10.6 GHz UWB wireless communications. A prototype has been fabricated and measured on a homogeneous phantom. Good agreement between numerical and experimental results was demonstrated.
Androgens Protect against Apolipoprotein E4-Induced Cognitive Deficits

Compared with apolipoprotein (apo) E2 and E3, apoE4 increases the risk of Alzheimer's disease (AD), but it remains unknown how apoE4 affects neuronal function. ApoE4 interacts with female gender, further increasing the risk of AD and decreasing treatment response. Female mice are also more susceptible to apoE4-induced impairments of spatial learning and memory than male mice. To assess the role of sex steroids in this process, we studied mice deficient in mouse apoE (Apoe−/−) and expressing human apoE4 or apoE3 in the brain at comparable levels. Even brief periods of androgen treatment improved the memory deficits of female apoE4 mice. Female apoE3 mice had no memory deficits and did not benefit from the treatment. ApoE4 male mice, which performed normally in a water-maze test at baseline, developed prominent deficits in spatial learning and memory after blockade of androgen receptors (ARs), whereas apoE3 male mice did not. Untreated apoE4 mice had significantly lower cytosolic AR levels in the neocortex than wild-type,Apoe−/− , and apoE3 mice. Improved memory in androgen-treated female apoE4 mice was associated with increased cytosolic AR levels. Our findings suggest that apoE4 contributes to cognitive decline by reducing AR levels in the brain, and that stimulating AR-dependent pathways can reverse apoE4-induced cognitive deficits.
The TFIIIC90 Subunit of TFIIIC Interacts with Multiple Components of the RNA Polymerase III Machinery and Contains a Histone-Specific Acetyltransferase Activity

ABSTRACT Human transcription factor IIIC (hTFIIIC) is a multisubunit complex that directly recognizes promoter elements and recruits TFIIIB and RNA polymerase III. Here we describe the cDNA cloning and characterization of the 90-kDa subunit (hTFIIIC90) that is present within a DNA-binding subcomplex (TFIIIC2) of TFIIIC. hTFIIIC90 has no specific homology to any of the known yeast TFIIIC subunits. Immunodepletion and immunoprecipitation studies indicate that hTFIIIC90 is a bona fide subunit of TFIIIC2 and absolutely required for RNA polymerase III transcription. hTFIIIC90 shows interactions with the hTFIIIC220, hTFIIIC110, and hTFIIIC63 subunits of TFIIIC, the hTFIIIB90 subunit of TFIIIB, and the human RPC39 (hRPC39) and hRPC62 subunits of an initiation-specific subcomplex of RNA polymerase III. These interactions may facilitate both TFIIIB and RNA polymerase III recruitment to the preinitiation complex by TFIIIC. We show that hTFIIIC90 has an intrinsic histone acetyltransferase activity with a substrate specificity for histone H3.
Detection of human herpesvirus-8 DNA in bone marrow biopsies from patients with multiple myeloma and Waldenström's macroglobulinemia.

To the Editor: Said et al[1][1] recently showed that human herpesvirus-8 (HHV-8) DNA could be amplified from bone marrow biopsies of patients with multiple myeloma (MM). These data reinforce their initial findings in cultured bone marrow cells and rule out the possibility that detection of HHV-8 in
Exploring Activity Cliffs from a Chemoinformatics Perspective

The activity cliff concept experiences considerable interest in medicinal chemistry and chemoinformatics. Activity cliffs are defined as pairs or groups of structurally similar or analogous active compounds having large differences in potency. Depending on the research field, views of activity cliffs partly differ. While interpretability and utility of activity cliff information is considered to be of critical importance in medicinal chemistry, large‐scale exploration and prediction of activity cliffs are of special interest in chemoinformatics. Much emphasis has recently been put on making activity cliff information accessible for medicinal chemistry applications. Herein, different approaches to the analysis and prediction of activity cliffs are discussed that are of particular relevance from a chemoinformatics viewpoint.
CN-SIM: A cycle-accurate full system power delivery noise simulator

This paper introduces CN-SIM, a cycle accurate, full system, power delivery (PD) noise simulator. CN-SIM provides a cross layer connectivity form application layer, to the architecture layer, to the circuit layer, which is much needed to realistically estimate PD noise. Thus, making it easier for system architects to explore multilayer design optimizations. CN-SIM's granularity at its deepest is at the functional unit (FU) level. The experimental results of running PARSEC suite benchmarks for different system configurations and different industrial PD design have illustrated CN-SIM's capability to capture the crosslayer impact on PD noise.
NUTRITIONAL ATTITUDES OF THE METHAMPHETAMINE ADDICTED

of NUTRITIONAL ATTITUDES OF THE METHAMPHETAMINE ADDICTED by Dale Ernest Threlkel Clients with chemical dependency issues related to methampheamine addiction are at risk for more than the poisonous consequences of consuming the drug alone. This quantitative survey research design and qualitative content analysis project examines the attitudes of recovering methamphetamine addicted adults regarding healthy nutritional supplementation and healthy food choices. Two age groups were chosen for the study, 18 to 35 years and over 35 years. The first group, 18 to 35 years, demonstrated a significantly higher knowledge of nutrition than the second group, over 35 years (T=2.165, df=23, p=.041). There was also a strong positive correlation between nutrition scores and vitamin scores (r=.487, p=.012) among the younger group. Therefore, those who knew more about nutrition knew more about vitamins. Implications for social work practice and policies are discussed. _______________________, Committee Chair Teiahsha Bankhead, Ph.D., LCSW _______________________ Date
Learning Chinese Attribute Nouns Using Lexico-Syntactic Patterns

Lexical knowledge sources or lexical ontologies are very important to the knowledge grid and semantic computing. Attribute information are key elements for defining concepts in lexical sources. This paper explores the idea of creating corpus-based attribute classifiers using lexico-syntactic patterns. Two novel attribute classifiers are proposed, one is a likelihood ratio classifier using hand-coded lexico- syntactic patterns, the other is a maximum entropy (ME) classifier exploiting automatic extracted patterns. The performance of the method is compared to both the direct pattern matching approach and the human performance, which indicates that the proposed method for attribute learning is very effective.
Discovering Thematic Patterns in Geo ‐ Referenced Tweets through Space ‐ Time Visual Analytics

This paper presents an exploratory study of the potential of geo‐referenced Twitter data for extracting knowledge about everyday life of people: their interests, activities, habits and behaviors. This is different from other researches on analysis of Twitter data, which focus on detection of extraordinary events. In our study, we applied several methods of Visual Analytics, which enable combining the power of computers with the power of human vision, thinking, and insight. By example of tweets from residents of the greater Seattle area for two‐month period, we demonstrate what kinds of knowledge can be gained by analyzing such data.
The Truth about Using Medical Marijuana and Cannabis in Treating Autism

In recent times, there have been reports of the use of “Medical Marijuana” and Cannabis in helping to gain relief from the symptoms in autism. This editorial seeks to present the facts about the underlying mechanism of what brings about the effect of the “improvements”, although temporary in most cases, that have been reported where either the parents of a child with autism or the child / person with autism has used or has been administered cannabis in one form or the other.
Effect of dietary adherence with or without exercise on weight loss: a mechanistic approach to a global problem.

CONTEXT Weight loss using low-calorie diets produces variable results, presumably due to a wide range of energy deficits and low-dietary adherence. OBJECTIVE Our objective was to quantify the relationship between dietary adherence, weight loss, and severity of caloric restriction. DESIGN AND SETTING Participants were randomized to diet only, diet-endurance training, or diet-resistance training until body mass index (BMI) was less than 25 kg/m(2). PARTICIPANTS Healthy overweight (BMI 27-30) premenopausal women (n = 141) were included in the study. INTERVENTIONS An 800-kcal/d(-1) diet was provided, and the exercise groups were engaged in three sessions per week. MAIN OUTCOMES Dietary adherence, calculated from total energy expenditure determined by doubly labeled water measurements and dual-energy x-ray absorptiometry body composition changes, and degree of caloric restriction were determined. RESULTS All groups had similar weight loss (approximately 12.1 +/- 2.5 kg) and length of time to reach target BMI (approximately 158 +/- 70 d). Caloric restriction averaged 59 +/- 9%, and adherence to diet was 73 +/- 34%. Adherence to diet was inversely associated to days to reach target BMI (r = -0.687; P < 0.01) and caloric restriction (r = -0.349; P < 0.01). Association between adherence to diet and percent weight lost as fat was positive for the diet-endurance training (r = 0.364; P < 0.05) but negatively correlated for the diet-only group (r = -0.387; P < 0.05). CONCLUSIONS Dietary adherence is strongly associated with rates of weight loss and adversely affected by the severity of caloric restriction. Weight loss programs should consider moderate caloric restriction relative to estimates of energy requirements, rather than generic low-calorie diets.
Mosaic trisomy 13 and a sacral appendage

Mosaic trisomy 13 occurs when there is a percentage of trisomic cells for an entire chromosome 13, while the remaining percentage of cells is euploid. The prevalence of this syndrome ranges from 1 in 10 000 to 1 in 20 000 births. Complete, partial or mosaic forms of this disorder can occur. The phenotype of mosaic trisomy 13 patients varies widely. Patients with mosaic trisomy 13 usually have a longer survival and a less severe phenotype compared to patients with complete trisomy 13. Genetic counselling is difficult due to the wide variation among the clinical manifestations of these patients. There have been 49 cases of mosaic trisomy 13 reported in the literature. We report the case of a patient with mosaic trisomy 13, a sacral appendage and a cleft lip and palate.
Serum trypsinogen-2 in the prediction of outcome in acute necrotizing pancreatitis.

BACKGROUND The accuracy of serum trypsinogen-2 in predicting the severity of acute necrotizing pancreatitis (ANP) was prospectively evaluated in 52 consecutive patients. METHODS A new sensitive immunofluorometric assay was used for serum trypsinogen-2, RESULTS Mean values during the first 24 h were 42.1 micrograms/l in control patients, 1435 micrograms/l in uncomplicated cases, and 4090 micrograms/l in complicated or fatal cases. There was a significant difference in serum trypsinogen-2 values between patients with uncomplicated and complicated disease (p = 0.002) already on admission. When a cutoff level of 1000 micrograms/l was used, patients with uncomplicated ANP were differentiated from patients with complicated ANP with a sensitivity of 91% and with a specificity of 71%. CONCLUSIONS The immunofluorometric assay of serum trypsinogen-2 is a sensitive and specific method for prediction of the severity of the disease in necrotizing pancreatitis.
The association between some endocrine disruptors and hypospadias in biological samples

Hypospadias is a birth defect found in boys in which the urinary tract opening is not at the tip of the penis. The etiology of hypospadias is still unidentified, but endocrine disruptors are considered as one possible cause of hypospadias. In this study, target endocrine disruptor compounds were established for an assay. The target compounds included 5 phthalates (di-(2-ethylhexyl)phthalate (DEHP), di-n-butyl-phthalate (DBP), mono-(2- ethylhexyl) phthalate (MEHP), mono-n-butyl-phthalate (MBP) and phthalic acid (PA)), 2 alkylphenols (n-nonylphenol (n-NP) and t-octylphenol (t-OP)) and bisphenol A. The association between these 8 endocrine disruptors and hypospadias was studied. The levels of endocrine disruptors in the urine and plasma of a control group were compared with those of a patient group. DEHP (P = 0.006) and n-NP (P = 7.26e-6) in the urine samples and PA (P = 0.009) and BPA (P = 7.22e-10) in the plasma samples showed a significant association with hypospadias. The levels of endocrine disruptors in the urine and plasma of the mothers were also compared to those of the patients to investigate the metastasis of the endocrine disruptors from the mother. These levels did not, however, show a relationship with hypospadias (R2 = 0.001–0.563).
Copper wire bonding - A maturing technology

Wire bonding has been the dominant mode of chip to substrate interconnection for many decades. The most common metal used has been gold which is rather malleable and very resistant to oxidation and corrosion. The surge in commodity prices over the last few years has prompted the introduction of copper as a lower cost alternative. While copper has some advantages electrically, thermally and mechanically, it presents also many challenges due to the mechanical properties as well as its propensity for oxidation and corrosion. Here, the successful introduction of fine diameter copper wire bonding into high volume manufacturing is described.
Bone mineral and glycosaminoglycans in newborn and mature rabbits

The relation between bone mineralization and glycosaminoglycans (GAG) was investigated in newborn and mature rabbit diaphyseal bone. Using the density fractionation technique, the bone was separated into fractions of increasing density from 1.4 to 2.3 grams/ml. Each fraction was analyzed by X‐ray diffraction to determine the average crystal size. The GAG content of each fraction and of the unfractionated bone was determined by direct extraction and on a few fractions by sequential extraction in guanidine hydrochloride and guanidine/EDTA. There was a decrease in the GAG content with animal age and with increasing fraction density in the newborn rabbit. In one overlapping fraction (2.0–2.1 grams/ml), the GAG content was twice as high in the newborn as in the mature animal. Finally, the crystal size substantially increased from newborn to mature rabbits. Therefore, calcification and maturation of bone is associated with a decrease in the proteoglycan content of the organic matrix.
Predicting trending messages and diffusion participants in microblogging network

Microblogging services have emerged as an essential way to strengthen the communications among individuals. One of the most important features of microblog over traditional social networks is the extensive proliferation in information diffusion. As the outbreak of information diffusion often brings in valuable opportunities or devastating effects, it will be beneficial if a mechanism can be provided to predict whether a piece of information will become viral, and which part of the network will participate in propagating this information. In this work, we define three types of influences, namely, interest-oriented influence, social-oriented influence, and epidemic-oriented influence, that will affect a user's decision on whether to perform a diffusion action. We propose a diffusion-targeted influence model to differentiate and quantify various types of influence. Further we model the problem of diffusion prediction by factorizing a user's intention to transmit a microblog into these influences. The learned prediction model is then used to predict the future diffusion state of any new microblog. We conduct experiments on a real-world microblogging dataset to evaluate our method, and the results demonstrate the superiority of the proposed framework as compared to the state-of-the-art approaches.
Combined interpolation architecture for soft-decision decoding of Reed-Solomon codes

Reed-Solomon (RS) codes are one of the most extensively used error control codes in digital communication and storage systems. Recently, significant advancements have been made on algebraic soft-decision decoding (ASD) of RS codes. These algorithms can achieve substantial coding gain with polynomial complexity. One major step of ASD is the interpolation. Various techniques have been proposed to reduce the complexity of this step. Further speedup of this step is limited by the inherent serial nature of the interpolation algorithm. In this paper, taking the bit-level generalized minimum distance (BGMD) ASD as an example, we propose a novel technique to combine the computations from multiple interpolation iterations. Compared to the single interpolation iteration architecture for a (255, 239) RS code, the combined architecture can achieve 2.7 times throughput with only 2% area overhead in high signal-to-noise ratio scenarios.
Filament Compliance Influences Cooperative Activation of Thin Filaments and the Dynamics of Force Production in Skeletal Muscle

Striated muscle contraction is a highly cooperative process initiated by Ca2+ binding to the troponin complex, which leads to tropomyosin movement and myosin cross-bridge (XB) formation along thin filaments. Experimental and computational studies suggest skeletal muscle fiber activation is greatly augmented by cooperative interactions between neighboring thin filament regulatory units (RU-RU cooperativity; 1 RU = 7 actin monomers+1 troponin complex+1 tropomyosin molecule). XB binding can also amplify thin filament activation through interactions with RUs (XB-RU cooperativity). Because these interactions occur with a temporal order, they can be considered kinetic forms of cooperativity. Our previous spatially-explicit models illustrated that mechanical forms of cooperativity also exist, arising from XB-induced XB binding (XB-XB cooperativity). These mechanical and kinetic forms of cooperativity are likely coordinated during muscle contraction, but the relative contribution from each of these mechanisms is difficult to separate experimentally. To investigate these contributions we built a multi-filament model of the half sarcomere, allowing RU activation kinetics to vary with the state of neighboring RUs or XBs. Simulations suggest Ca2+ binding to troponin activates a thin filament distance spanning 9 to 11 actins and coupled RU-RU interactions dominate the cooperative force response in skeletal muscle, consistent with measurements from rabbit psoas fibers. XB binding was critical for stabilizing thin filament activation, particularly at submaximal Ca2+ levels, even though XB-RU cooperativity amplified force less than RU-RU cooperativity. Similar to previous studies, XB-XB cooperativity scaled inversely with lattice stiffness, leading to slower rates of force development as stiffness decreased. Including RU-RU and XB-RU cooperativity in this model resulted in the novel prediction that the force-[Ca2+] relationship can vary due to filament and XB compliance. Simulations also suggest kinetic forms of cooperativity occur rapidly and dominate early to get activation, while mechanical forms of cooperativity act more slowly, augmenting XB binding as force continues to develop.