Miracle-dz/UniFAR-FTUs huggingface dataset:
Autonomic Imbalance Induced Breakdown of Long-range Dependence in Healthy Heart Rate

Summary Objectives : The investigation of the relation between the long-range correlation property of heart rate and autonomic balance. Methods : An investigation of the fractal scaling properties of heart rate variability was carried out by using detrended fluctuation analysis (DFA). Eleven healthy subjects were examined for two consecutive days, which included usual daily activity, strenuous prolonged experimental exercise, and sleep. We also considered two patient groups with autonomic dysfunction characterized by selective sympathetic and parasympathetic dominance. Results : Robust long-range dependence in heart rate is observed only in the state of usual daily activity, characterized by normal heart rate typical of balanced autonomic sympathetic and parasympathetic regulation. This confirms the previously postulated behavioral independence of heart rate regulation, but reveals that the occurrence of 1/f, long-range dependence is restricted to only the state of autonomic balance. Both the sympathetic dominant high heart rate state, realized during strenuous experimental exercise, and the parasympathetic dominant low heart rate state, prevalent in (deep) sleep, are characterized by uncorrelated, near white-noise-like scaling, lacking long-range dependence. Conclusion : Remarkably, the breakdown of the long-range correlations observed in healthy heart rate in the states of sympathetic and parasympathetic dominance is in stark contrast to the increased correlations which have previously been observed in neurogenic parasympathetic and sympathetic dominance in patients suffering from primary autonomic failure and congestive heart failure, respectively. Our findings further reveal the diagnostic capabilities of heart rate dynamics, by differentiating physiological healthy states from pathology.
Effect of pretreatment with ketorolac tromethamine on operative pain during periodontal surgery: A case-control study

Background: The efficacy of a nonsteroidal anti-inflammatory agent, ketorolac tromethamine, was evaluated in pain control after periodontal surgery. This type of agent acts peripherally by inhibiting the release of prostaglandins and minimizing the local inflammatory response. Thus, there may be an advantage in pretreatment administration of ketorolac tromethamine, 10 mg, compared with placebo on operative pain during periodontal surgery. Materials and Methods: Two groups of 40 outpatients from the Department of Periodontology, Darshan Dental College and Hospital, Udaipur, were selected for this study. Patients who were to undergo periodontal surgery were randomly given either one group 10 mg ketorolac immediately before surgery or the other group placebo tablets at least 30 minutes before administration of local anesthesia (LA). All procedures were performed under LA, and the total volume of anesthetic used was recorded. The duration of surgery from the time of incision to the placement of the last suture was recorded. At the completion of the surgery, patients were supplied with printed record forms and were asked to rate their subjective operative pain intensity using a visual analog scale. Statistical analysis: The data were analyzed using the student t test. Results: Results indicated that preoperative treatment with ketorolac significantly reduced initial pain intensity of operative pain as compared with placebo. No adverse reactions related to preoperative medication were observed. Conclusions: The results of this study showed that 10-mg ketorolac administered immediately before periodontal surgery was effective for alleviating the operative painful sequelae.
Structural, anisotropic and thermodynamic properties of boron carbide: First principles calculations

The structural, mechanical, electronic properties of the potentially superhard P4 2 /mnm-BC have been investigated by using the density functional theory with the ultrasoft psedopotential scheme in the frame of the generalized gradient approximation and the local density approximation. The elastic constants, bulk modulus, shear modulus, Young’s modulus, B / G ratio and Poisson’s ratio for BC at various pressures have been investigated. The elastic anisotropy under pressure from 0 GPa to 100 GPa has been studied. The elastic anisotropy of Young’s modulus, shear modulus, and Poisson’s ratio show that P4 2 /mnm-BC exhibits a large anisotropy and the elastic anisotropy increases with increasing pressure. Electronic structure studies show that P4 2 /mnm-BC is a conductor. Using the quasi-harmonic Debye model, the thermodynamic properties of P4 2 /mnm-BC have also been investigated. The variation of the thermal expansion, isothermal bulk modulus, Debye temperature, Gruneisen parameter, and heat capacity with pressure and temperature have been obtained systematically.
Dose–Response Relation Between Work Hours and Cardiovascular Disease Risk: Findings From the Panel Study of Income Dynamics

Objectives: The aim of this study was to examine the presence of a dose–response relationship between work hours and incident cardiovascular disease (CVD) in a representative sample of U.S. workers. Methods: A retrospective cohort study of 1926 individuals from the Panel Study of Income Dynamics (1986 to 2011) employed for at least 10 years. Restricted cubic spline regression was used to estimate the dose–response relationship of work hours with CVD. Results: A dose–response relationship was observed in which an average workweek of 46 hours or more for at least 10 years was associated with an increased risk of CVD. Compared with working 45 hours per week, working an additional 10 hours per week or more for at least 10 years increased CVD risk by at least 16%. Conclusion: Working more than 45 work hours per week for at least 10 years may be an independent risk factor for CVD.
Tunnel Field-Effect Transistor With an L-Shaped Gate

In this letter, a new L-shaped gate tunnel field-effect transistor (LG-TFET) is proposed and investigated by Silvaco Atlas simulation. The tunneling junction in the LG-TFET is perpendicular to the channel direction that facilitates the implementation of a relatively large tunneling junction area. The channel is U-shaped that makes the channel mainly distribute in the vertical direction, reducing the device area. The n+ pocket design is also introduced between the source and the intrinsic regions to improve the device characteristic. In addition, the gate and n+ pocket region overlap both in the vertical and the lateral directions resulting in an enhanced electric field, and the ON-state current of the LG-TFET is increased up to ~50$ % compared with the previous L-shaped channel TFET. The minimum subthreshold swing of the LG-TFET is 38.5 mV/decade at 0.2 V gate-to-source voltage. By using the L-shaped gate, U-shaped channel, and the insertion of n+ pocket, the overall performance of the LG-TFET is optimized.
Characterization of developed high-density helicon plasma sources and Helicon Electrodeless Advanced Thruster (HEAT) project

Helicon sources are very effective in many aspects and are applicable in various science and technology fields, since they can supply high-density (~ 1013 cm-3) plasmas with flexible operating parameters. In this paper, we characterize developed, featured sources in various sizes along with a discussion on a particle production efficiency. This activity was performed within the HEAT (Helicon Electrodeless Advanced Thruster) project aiming at development of the systems that can realize the schemes of completely electrodeless plasma production and acceleration. This is expected to mitigate a problem of finite life time inherent to electrodic plasma propulsion tools. Experimental and theoretical approaches to implementation of such the schemes are presented.
On single valued neutrosophic refined rough set model and its application

Neutrosophic set (NS) theory was originally established by Smarandache for handling indeterminate and inconsistent information. In this chapter, we introduce single valued neutrosophic refined rough sets by combining single valued neutrosophic refined sets with rough sets and further study the hybrid model from two perspectives—constructive viewpoint and axiomatic viewpoint. We also give single valued neutrosophic refined rough sets in two universes and an available algorithm for handling multi-attribute decision making problem based on single valued neutrosophic refined rough sets in two universes. In addition, we illustrate the validity of the single valued neutrosophic refined rough set model by an example.
Elder Mistreatment in Urban India: A Community Based Study

ABSTRACT This study examined the extent and correlates of elder mistreatment among 400 community dwelling older adults aged 65 and above in Chennai, India. The prevalence rate of mistreatment was 14%. Chronic verbal abuse was the most common followed by financial abuse and the rate of physical abuse and neglect was similar. Among the mistreated, exactly half of them had experienced more than one type of mistreatment (multifaceted-mistreatment). With the exception of financial abuse, a significantly greater number of women experienced verbal and physical abuse as well as neglect compared to men. Adult children, daughters-in-law, spouses, and sons-in-law were the prominent perpetrators. The mistreated older adults were more depressed and less satisfied with life than those who were not mistreated. Logistic regression analysis revealed gender, social support, and subjective rating of physical health as significant factors associated with abuse.
New permanent magnets; manganese compounds

The exponential growth of maximum energy product that prevailed in the 20th century has stalled, leaving a market dominated by two permanent magnet materials, Nd2Fe14B and Ba(Sr)Fe12O19, for which the maximum theoretical energy products differ by an order of magnitude (515 kJ m−3 and 45 kJ m−3, respectively). Rather than seeking to improve on optimized Nd–Fe–B, it is suggested that some research efforts should be devoted to developing appropriately priced alternatives with energy products in the range 100–300 kJ m−3. The prospects for Mn-based hard magnetic materials are discussed, based on known Mn-based compounds with the tetragonal L10 or D022 structure or the hexagonal B81 structure.
The German Lesbian Family Study

SUMMARY This is the first study to explore the issues and decisions that lesbians residing in Germany face when striving to create a family by donor insemination. Using a self-constructed questionnaire, information pertaining to the first phases of lesbian family formation (coming-out, lesbian relationship, and decision-making) was collected from 105 lesbian mothers. The participants in this sample demonstrated a strong sense of lesbian identity, were in committed relationships, had taken part in lengthy deliberations about general and lesbian-specific aspects of parenting, and had aspirations of equal parenting which were reflected in their choice of terms for identifying themselves as mothers. Potential advantages for children included wantedness and diversity in up-bringing. Coping strategies for possible discrimination of children included valuing diversity, maintaining open communication, instilling pride, normalizing, and buffering. Maternal role allocation was based on desire to experience pregnancy. Plans for male involvement in children's lives had been made. Women generally experienced support for plans to parent. Co-mothers looked forward to becoming mothers but were sensitized to the consequences of legal and biological asymmetrical parenting. The choice of anonymous, identity-release, or known donor was related to attitudes towards biological fathers/donor issues and availability. The impact of German legislation regarding same sex marriage and lesbian access to reproductive services on family formation is discussed.
Making the Organization Come Alive: Talking Through and About the Technology in Remote Banking

Organizations have increasingly been seeking to interact with their customers using more "remote channels" such as telephone and computer-based technologies. This process has been a part of dramatic technological upheavals as technology enters into customer interactions. This article examines examples of this changing relationship, documenting the role of technology in delivering banking services over remote channels. We present details from two ethnographic studies concerning physical and digital representations of artifacts, talk, and the organization of customer-facing work and their relevance in "designing for the expanded interface. " In telephone banking, sharing of objects and reconciliation between different instantiations are achieved through conversation. In video- conferencing, despite visual access to the same artifact, operators still need to guide customers around objects, explaining what they are seeing and what is happening. We look at the use of scripts designed to standardize operator interactions, the demeanor work undertaken by operators to account for the behavior of technology, attempts to configure customer interactions, and issues of trust in such technologically mediated communication.
Dot-Product Join: Scalable In-Database Linear Algebra for Big Model Analytics

Big Model analytics tackles the training of massive models that go beyond the available memory of a single computing device, e.g., CPU or GPU. It generalizes Big Data analytics which is targeted at how to train memory-resident models over out-of-memory training data. In this paper, we propose an in-database solution for Big Model analytics. We identify dot-product as the primary operation for training generalized linear models and introduce the first array-relation dot-product join database operator between a set of sparse arrays and a dense relation. This is a constrained formulation of the extensively studied sparse matrix vector multiplication (SpMV) kernel. The paramount challenge in designing the dot-product join operator is how to optimally schedule access to the dense relation based on the non-contiguous entries in the sparse arrays. We propose a practical solution characterized by two technical contributions---dynamic batch processing and array reordering. We devise three heuristics -- LSH, Radix, and K-center -- for array reordering and analyze them thoroughly. We execute extensive experiments over synthetic and real data that confirm the minimal overhead the operator incurs when sufficient memory is available and the graceful degradation it suffers as memory becomes scarce. Moreover, dot-product join achieves an order of magnitude reduction in execution time over alternative solutions.
The Efficacy of Andrographolide and its Combination with Betulinic Acid in the Treatment of Triple Negative Breast Cancer

Purpose: Breast Cancer is the most prevalent form of cancer in women around the world. Breast cancers that do not express the genes for estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 (HER2) are referred to as triple-negative breast cancers (TNBC). TNBC has a relatively poorer prognosis than the major breast cancer sub-types with conventional chemotherapy eventually failing due to acquired drug resistance, toxic side effects and the presence of a deregulated immune response. Hence, there is an urgent need for new treatment approaches. New treatments for overcoming these drawbacks include the use of plant extracts. Study design: In this study, we investigated the efficacy and the underlying molecular mechanism(s) of Andrographolide (Andro), a naturally abundant phytochemical against TNBC MDA-MB-231 and MDA-MB-468cell lines. The efficacy of the combination of Andro with Betulinic Acid (BetA) was also determined. Results: Here we report that Andro was able to inhibit the inflammatory response, inhibit angiogenesis and cause cell cycle arrest ultimately causing apoptosis in TNBC cells. Our findings support that the identification of naturally occurring anti-tumour compounds may provide a chemotherapeutic approach for the treatment of TNBC. Conclusion: Overall, our results provide a molecular basis for the ability of Andro and BetAto mediate apoptosis, suppress inflammation and inhibit angiogenesis in TNBC cell lines.
Denoising of full resolution differential SAR interferogram based on K-SVD technique

The aim of this paper is to demonstrate the applicability of sparse representation to filter out the noise from SAR interferograms. More specifically, we consider an innovative approach for interferometric phase denoising, based on K-SVD technique applied to SAR interferograms, for estimating the noise-free underlying structure of the phase information. To examine the effectiveness of th is approach, the method has been successfully tested both on simulated and real interferograms. In the latter case, the proposed approach has been evaluated using ENVISAT SAR data acquired over the area of Napoli (Italy). The good results achieved applying the proposed method demonstrate its effectiveness for denoising SAR interferograms.
Gene Expression of Subunit c(P1), Subunit c(P2), and Oligomycin Sensitivity-conferring Protein May Play a Key Role in Biogenesis of H+-ATP Synthase in Various Rat Tissues*

Mammalian H+-ATP synthase is a supramolecule composed of at least 14 subunits that have a constant stoichiometry. Nevertheless the coordinate regulation of the gene expressions of various subunits remains obscure. To clarify the coordinate transcriptional regulatory system of mammalian H+-ATP synthase, we determined the absolute amount of nine species of mRNAs for eight nuclear-encoded subunits of H+-ATP synthase in different tissues of 8-week-old rats by use of the synthetic mRNAs and 32P-labeled DNA probes for each mRNA. Our quantitative analyses of the transcripts of H+-ATP synthase revealed that nine species of the subunits in different tissues of 8-week-old rats were divisible into two groups: a high transcript gene (HTG) group (β-subunit, subunit b, subunit d, subunit e, and Factor 6) and a low transcript gene (LTG) group (subunit c(P1), subunit c(P2), IF1, and oligomycin sensitivity-conferring protein). The transcription step of LTG could constitute a bottleneck in the biogenesis of H+-ATP synthase. Thus, the transcriptional regulatory system of the LTG may play a key role in the biogenesis of mammalian H+-ATP synthase. The HTG were transcribed in a tissue-specific manner that corresponds with energy demand in the tissues. However, there was no tissue specificity in subunit c(P2). Furthermore, the tissue specificity of the transcript of IF1 differed substantially from that of HTG, suggesting that it could be crucial in the protection of mitochondrial membrane under abnormal conditions.
Extension of MINDO/3-FORCES Method

The semi-empirical MINDO/3-FORCES method is extended to include the third row elements Si, P, S and Cl. The extended method is tested by calculation of heats of formation, dipole moments, and the first ionization potentials of molecules containing S and Cl. The results agree well with the experimental and theoretical values known in the literature.
A Generation Framework for Grammar Development

We developed a general framework for the development of a symbolic (hand-written) feature-based lexicalised tree-adjoining grammar (FB-LTAG). We choose natural language generation, surface realisation in particular, to question the capabilities of the grammar in terms of both accuracy and robustness. Our framework combines an optimised surface realiser with efﬁcient error mining techniques. While generating from a large data set provided by the Generation Challenge Surface Realisation task, we improve both accuracy and robustness of our grammar signiﬁcantly
[Comparative study of 2 culture methods by seeding, in hemoculture bottles, the dialysis fluid from patients in continuous ambulatory peritoneal dialysis].

BACKGROUND Peritonitis remains a major complication of continuous ambulatory peritoneal dialysis (CAPD). The accurate diagnosis of peritonitis is a requirement for a successful CAPD program. A prospective study was performed to evaluate two culture methods. METHODS 1. Culture of 10 ml of uncentrifuged peritoneal fluid and 2. Culture of the sediment of 50 ml centrifuged and resuspended in 20 ml of distilled water, into aerobe/anaerobe hemoculture bottles (Hemoline, BioMérieux). We processed 162 PF from 138 CAPD peritonitis episodes, 33 of whom were in antimicrobial drug therapy. RESULTS The sensibility/specificity of both methods (87.0/70.8 method 1 and 81.9/79.2) were similar. Both methods were more sensitive (p = 0.001) when the patient was no in antimicrobial drug therapy (60.6/88.6 method 1 and 69.7/92.4 method 2). We isolated 132 microorganisms, 64.4% Gram positive, 25.0% Gram negative, 4.6% anaerobes and 6.1% levures. CONCLUSION Both methods were similar and the more important factor to increase the yield of culture is to remove the antibiotic presents in centrifuged fluid.
Infectious cDNA clones of the DA strain of Theiler's murine encephalomyelitis virus

The DA strain and other members of the TO subgroup of Theiler's murine encephalomyelitis viruses cause a persistent demyelinating infection, whereas the GDVII strain and other GDVII subgroup strains cause an acute lethal polioencephalomyelitis. We generated an infectious DA cDNA clone inserted into a transcription vector. Virus derived from transfection of transcripts produced a demyelinating disease indistinguishable from that of wild-type virus. The infectious clone provides a critical reagent for the production of interstrain recombinant viruses to help identify genetic loci responsible for the biological activities of the strains.
Recent developments in electronic alerts for acute kidney injury

Purpose of reviewEfforts to improve outcomes from acute kidney injury (AKI) have focussed on timely diagnosis and effective delivery of basic patient care. Electronic alerts (e-alerts) for AKI have attracted interest as a tool to facilitate this. Initial feasibility has already been demonstrated; this review will discuss recent advances in alert methodology, implementation beyond single centres and reported effect on outcomes. Recent findingsOn-going descriptions of e-alerts highlight increasing variation in both detection algorithms and alert processes. In England, this is being addressed by national rollout of a standardized detection algorithm; recent data have shown this to have good diagnostic performance. In critical care, fully automated detection systems incorporating both serum creatinine and urine output criteria have been developed. A recent randomized trial of e-alerts has also been reported, in which isolated use of a text message e-alert did not affect either clinician behaviour or patient outcome. SummaryAs e-alerts gain popularity, consideration must be given to both the method of AKI detection and the method by which results are communicated to end-users; these aspects influence the degree of these systems’ effectiveness. This approach should be coupled to further work to study the effect on patient outcomes of those interventions that have been demonstrated to influence clinician behaviour.
Activity Recognition Through Complex Event Processing: First Findings

The activities of daily living of a patient in a smart home environment can be detected to a large extent by the real-time analysis of characteristics of the habitat's electrical consumption. However, reasoning over the conduct of these activities occurs at a much higher level of abstraction than what the sensors generally produce. In this paper, we leverage the concept of Complex Event Processing (CEP), in which low-level data streams are progressively transformed into higher-level ones, to the task of activity recognition. We show how the use of an appropriate representation for each level of abstraction can greatly simplify the process. We also report on the use of an existing event stream processor to successfully implement the complete chain, from low-level sensor data up to a sequence of discrete and high-level actions.