Miracle-dz/UniFAR-FTUs huggingface dataset:
A Survey of Fall Detection Algorithm for Elderly Health Monitoring

With the arrival of population aging society, the health care of the elderly becomes more important. The fall detection algorithm is the core of the fall detection alarm system, so it is the key for the research and development of the fall detection system to analyze and select the appropriate algorithm for the detection of falling. It is one of the most important indicators of elder health monitor that it can quickly detect, alarm and shorten the time of rescue when senior falls down. Through analyzing the related fall detection algorithm to monitor the health of the elderly home or outside, and comparing their practicalities and pertinences, we give the application and limitations of the related research. The future of the fall detection algorithm is presented. This paper provides a reference researchers related to the development of fall detection algorithms.
FEASIBLE RESAMPLING FOR NONPARAMETRICKERNEL ESTIMATORSJEFF

Resampling methods are becoming more commonplace in the literature, particularly in the context of nonparametric estimation. Unfortunately, the amount of real-time computation required to apply resampling methods in nonparametric contexts can often render the techniques unusable. A computationally eecient algorithm is proposed for the resampling of nonparametric kernel estimators. It is shown how the computational burden of resampling kernel-based estimators can be reduced by an order of magnitude and can be made dimension-free. An application to kernel regression is considered, and the technique is applied to a resam-pled version of the consistent test of functional form proposed by Zheng (1996). The value-added of this paper lies in the facilitation of resampling approaches for computationally intensive estimators which are becoming more widely used in applied settings.
Central Adiposity and Other Anthropometric Factors in Relation to Risk of Macrosomia in an African American population

Previous studies have consistently identified maternal obesity and gestational weight gain (GWG) as risk factors for macrosomia, but little is known about the effects of central adiposity and body fat distribution. Using self‐reported data from the Black Women's Health Study (BWHS), a large follow‐up study of US black women, we examined the risk of macrosomia in relation to prepregnancy waist circumference, prepregnancy waist‐to‐hip ratio (WHR), prepregnancy BMI, and GWG.
A Concept of Similarity for Intuitionistic Fuzzy Sets and its Use in the Aggregation of Experts ’ Testimonies

In this article we apply a new measure of similarity to analyse the extent of agreement in a group of experts. The proposed measure takes into account not only a pure distance between intuitionistic fuzzy preferences but also examines if the compared preferences are more similar or more dissimilar. The agreement of a whole group is assessed via an aggregation of individual testimonies expressed by intuitionistic fuzzy preference relations.
¿El emprendedor nace o se hace? Un análisis de los determinantes del espíritu emprendedor

Although the entrepreneurship is basic as innovation device or as contributor for economic welfare, we do not much about why firms are created or which factors are determinants of new ventures. This paper tries to contribute to this subject exploring the factors related to the entrepreneurial direction of students. Particularly, we select a population of 2012 undergraduate students during the 2003/2004 academic year and we measure their entrepreneurial direction and the factors that motivate it. A logistic regression allows confirming the most of suggested relationships. The students who are entrepreneurshiporiented show a higher level of education, more professional experiences and they are usually men. Other than that, the self-reliant and self-confident individuals are the most prone to create a new venture.
Proton‐resonance frequency shift MR thermometry is affected by changes in the electrical conductivity of tissue

The proton‐resonance frequency (PRF) shift method of MR thermometry provides an easy and practical means of quantitatively monitoring in vivo temperatures for MR image‐guided thermal‐coagulation therapy. However, reported discrepancies in the numerical value of the PRF‐thermal coefficient persist, when measured in a variety of experimental conditions and in different tissue types, both ex vivo and in vivo. In this report, a potential source of variation in the PRF‐shift method of thermometry is identified that manifests as a constant incremental phase shift per unit change in temperature that is independent of the echo‐time setting, when constructing temperature‐sensitive phase images from a gradient‐echo pulse sequence. It is proposed that this confounding phase‐shift offset arises from thermally induced changes in the electrical conductivity of the material. To this end, it is demonstrated that the MR‐derived temperature changes could be in error by as much as 28%, as measured from a simple calibration experiment on freshly excised cow liver. A simple method of overcoming this phase‐shift offset is described. Magn Reson Med 43:62–71, 2000. © 2000 Wiley‐Liss, Inc.
Interpreting thresholds for a clinically significant change in health status in asthma and COPD

Health status (or Health-Related Quality of Life) measurement is an established method for assessing the overall efficacy of treatments for asthma and chronic obstructive pulmonary disease (COPD). Such measurements can indicate the potential clinical significance of a treatment's effect. This paper is concerned with methods of estimating the threshold of clinical significance for three widely used health status questionnaires for asthma and COPD: the Asthma Quality of Life Questionnaire, Chronic Respiratory Questionnaire and St George's Respiratory Questionnaire. It discusses the methodology used to obtain such estimates and shows that the estimates appear to be fairly reliable; i.e. for a given questionnaire, similar estimates may be obtained in different studies. These empirically derived thresholds are all mean estimates with confidence intervals around them. The presence of these confidence intervals affects the way in which the thresholds may be used to draw inferences concerning the clinical relevance of clinical trial results. A new system of judging the magnitude of clinically significant results is proposed. Finally, an attempt is made to translate these thresholds into scenarios that illustrate what a clinically significant change with treatment may mean to an individual patient.
Applying petrophysical models to radar travel time and electrical resistivity tomograms: Resolution‐dependent limitations

[1] Geophysical imaging has traditionally provided qualitative information about geologic structure; however, there is increasing interest in using petrophysical models to convert tomograms to quantitative estimates of hydrogeologic, mechanical, or geochemical parameters of interest (e.g., permeability, porosity, water content, and salinity). Unfortunately, petrophysical estimation based on tomograms is complicated by limited and variable image resolution, which depends on (1) measurement physics (e.g., electrical conduction or electromagnetic wave propagation), (2) parameterization and regularization, (3) measurement error, and (4) spatial variability. We present a framework to predict how core-scale relations between geophysical properties and hydrologic parameters are altered by the inversion, which produces smoothly varying pixel-scale estimates. We refer to this loss of information as “correlation loss. ” Our approach upscales the core-scale relation to the pixel scale using the model resolution matrix from the inversion, random field averaging, and spatial statistics of the geophysical property. Synthetic examples evaluate the utility of radar travel time tomography (RTT) and electrical-resistivity tomography (ERT) for estimating water content. This work provides (1) a framework to assess tomograms for geologic parameter estimation and (2) insights into the different patterns of correlation loss for ERT and RTT. Whereas ERT generally performs better near boreholes, RTT performs better in the interwell region. Application of petrophysical models to the tomograms in our examples would yield misleading estimates of water content. Although the examples presented illustrate the problem of correlation loss in the context of near-surface geophysical imaging, our results have clear implications for quantitative analysis of tomograms for diverse geoscience applications.
Structured Message Transport

In this paper, we present Structured Message Transport (SMT). SMT is a transport protocol coordinator designed to alleviate the head-of-line blocking problem of existing transport layer protocols, such as TCP. SMT uses explicit dependency tracking instead of assuming total ordering between messages of a communication. Moreover, explicit dependency tracking creates the opportunity for using multiple paths. SMT can distribute messages into more than one path. However, unlike the stream-based Multi-Path-TCP, SMT is not limited to a single stream of messages. Relaxing the ordering constraints between the messages makes it possible to deliver the received messages to the application layer if they do not have any unmet dependencies. We have designed and implemented a prototype of SMT to test our ideas. Moreover, we have integrated the ideas from SMT into a proprietary software system and we show that the SMT version performs better than the base version.
Social support, functional outcome and quality of life among stroke survivors in an urban area

Sophisticated medical technologies can prolong a stroke patient’s life but not always their quality of life (QoL) due to poor functional outcomes. Social support can theoretically assist a patient’s adaptation to life after stroke and improve their QoL, but existing findings are inconclusive. This inconclusiveness is especially found in large cities where family and social bonding can be scarce. We conducted a hospital-based, cross-sectional study among 358 stroke patients to identify the effects of social support and functional outcome on QoL and its domains. The study took place in Bangkok, Thailand between July and December 2016. Data were collected by personal interview using a structured questionnaire that included the Short-Form WHO Quality of Life Instrument (WHOQOL-BREF) and by review of medical records. A hierarchical linear regression method was used to analyze data. The mean age of stroke respondents was 66.0 years (SD 13.5 years), and half were male. The mean total QoL score for patients was 68.6 (SD 15.2). Hierarchical multiple regression analysis found emotional support significantly impacted QoL in every domain (ps < .05) when all included variables were controlled for. To improve the quality of life among stroke survivors, health personnel and family members should provide not only physical assistance but also psychological support.
Japan's Monetary and Financial Cooperation in East Asia \ From the Viewpoint of the Spillover Effects of Currency Misalignment

The purpose of this paper is to examine what forms of monetary and financial cooperation will be desirable in East Asia with a focus on the spillover effects of currency misalignment on the Japanese economy in particular, thereby obtaining implications for monetary and financial cooperation in which Japan should engage in the region in the future. First, we took an overview of the movements of East Asian countries f currencies using the Asian Monetary Unit (AMU) and the AMU Deviation Indicator, which have been attracting attention in recent years as tools to measure currency misalignment. Then, we conducted empirical analysis of exchange rate systems adopted in effect by East Asian countries by measuring the currency basket weight and discussed the relationship between the systems and the global financial crisis. By conducting analysis with regard to both the pre-Lehman Shock period and the post- Lehman Shock period, we showed that because of the global financial crisis, the currency peg to the US dollar strengthened in some countries and weakened in others. Next, we conducted a structural VAR (vector autoregressive) analysis as to how currency misalignment among East Asian countries could affect Japanese macroeconomic variables using the real AMU Deviation Indicator and examined what kind of exchange rate system and exchange rate policy will be desirable in order to achieve macroeconomic stability.
Fundamental limits on energy transfer and circuit considerations for piezoelectric transformers

This work investigates fundamental limits on the electromechanical energy conversion capacity of piezoelectric transformers by considering a work cycle analysis. Fundamental limitations are imposed by maximum electric field strength, maximum surface charge density, maximum stress and maximum strain. The authors' analysis indicates that the mechanical stress limit is the effective constraint in typical PZT materials. For a specific PZT-5H sample considered, a mechanical stress-limited work cycle indicates that this material can handle 330 W/cm/sup 3/ at 100 kHz. The theory of operation of soft-switching resonant drive circuitry is then discussed. Experimental results on a soft-switching inverter incorporating no magnetic components are reported.
Service Discovery in Self-Organizing Service-Oriented Environments

In service-oriented environments (e.g. Cloud Computing or Utility Computing), automated service discovery is crucial to enable self-organizing technical components that are able to discover and consume services autonomously. To this end, precise and robust service discovery algorithms are desirable. In this paper, we propose an approach combining both syntactic and semantic search to increase accuracy of discovery results. Evaluation in an SOA simulation environment shows promising improvements in contrast to traditional centralized discovery approaches, such as UDDI.
FAST SIGNAL RECONSTRUCTION FROM MAGNITUDE STFT SPECTROGRAM BASED ON SPECTROGRAM CONSISTENCY

The modification of magnitude spectrograms is at the core of many audio signal processing methods, from source separation to sound modification or noise canceling, and reconstructing a natural sounding signal in such situations is thus a very important issue. This article presents recent theoretical and experimental developments on the application to signal reconstruction from a modified magnitude spectrogram of the constraints that an array of complex numbers must verify to be a consistent short-time Fourier transform (STFT) spectrogram, i.e., to be the STFT spectrogram of an actual real-valued signal. We give here further theoretical insights, present several potential variations on our previously introduced algorithm, investigate various techniques to speed up the signal reconstruction process, and present a thorough experimental comparison of the performance of all the considered algorithms.
Bioactive Hydroperoxyl Cembranoids from the Red Sea Soft Coral Sarcophyton glaucum

A chemical investigation of an ethyl acetate extract of the Red Sea soft coral Sarcophyton glaucum has led to the isolation of two peroxide diterpenes, 11(S) hydroperoxylsarcoph-12(20)-ene (1), and 12(S)-hydroperoxylsarcoph-10-ene (2), as well as 8-epi-sarcophinone (3). In addition to these three new compounds, two known structures were identified including: ent-sarcophine (4) and sarcophine (5). Structures were elucidated by spectroscopic analysis, with the relative configuration of 1 and 2 confirmed by X-ray diffraction. Isolated compounds were found to be inhibitors of cytochrome P450 1A activity as well as inducers of glutathione S-transferases (GST), quinone reductase (QR), and epoxide hydrolase (mEH) establishing chemo-preventive and tumor anti-initiating activity for these characterized metabolites.
Experimental realization of a quantum game on a one-way quantum computer

We report the first demonstration of a quantum game on an all-optical one-way quantum computer. Following a recent theoretical proposal we implement a quantum version of Prisoner's Dilemma, where the quantum circuit is realized by a four-qubit box-cluster configuration and the player's local strategies by measurements performed on the physical qubits of the cluster. This demonstration underlines the strength and versatility of the one-way model and we expect that this will trigger further interest in designing quantum protocols and algorithms to be tested in state-of-the-art cluster resources.
Learn and self-examination algorithm

This work aims to explore and improve the problems of the general optimized algorithm. General optimized algorithm is the mainstream method these days because it is suitable for a wide array of problems. Among all the options, genetic algorithm, particle swarm algorithm, and simulated annealing methods are the ones most commonly used to deal with difficult but regular fitness functions. Yet each method still has its pros and cons. Whether a particular method is employed is dependent on if it complies with fitness standards and the time it takes to fulfill a specific objective. Each fitness functions serve its own purposes. In light of the aforementioned needs, this work will propose an algorithm that is better than the general optimized ones.
Online Mendelian Inheritance in Man ( OMIM ) : A Directory of Human Genes and Genetic Disorders

Online Mendelian Inheritance in Man (OMIMTM*) is a timely, authoritative compendium of bibliographic material and observations on inherited disorders and human genes. It is the continuously updated electronic version of Mendelian Inheritance in Man (MIM). MIM was last published in 1998 (1) and is authored and edited by Dr. Victor A. McKusick and a team of science writers, editors, scientists, and physicians at The Johns Hopkins University and around the world (2). Curation of the database and editorial decisions take place at The Johns Hopkins University School of Medicine. OMIM provides authoritative free text overviews of genetic disorders and gene loci that can be used by clinicians, researchers, students, and educators. In addition, OMIM has many rich connections to relevant primary data resources such as bibliographic, sequence, and map information.
The miR-1-NOTCH3-Asef Pathway Is Important for Colorectal Tumor Cell Migration

The tumor suppressor adenomatous polyposis coli (APC) is mutated in sporadic and familial colorectal tumors. APC stimulates the activity of the Cdc42- and Rac1-specific guanine nucleotide exchange factor Asef and promotes the migration and invasion of colorectal tumor cells. Furthermore, Asef is overexpressed in colorectal tumors and is required for colorectal tumorigenesis. It is also known that NOTCH signaling plays critical roles in colorectal tumorigenesis and fate determination of intestinal progenitor cells. Here we show that NOTCH3 up-regulates Asef expression by activating the Asef promoter in colorectal tumor cells. Moreover, we demonstrate that microRNA-1 (miR-1) is down-regulated in colorectal tumors and that miR-1 has the potential to suppress NOTCH3 expression through direct binding to its 3’-UTR region. These results suggest that the miR-1-NOTCH3-Asef pathway is important for colorectal tumor cell migration and may be a promising molecular target for the treatment of colorectal tumors.
Guideline-based approach for achieving non-functional attributes of software

Non-functional attributes of software are considered as major element for improving software quality. However, achieving these attributes in a software system is not a simple task, bearing in mind the relationships between these attributes, and the diversity of software domains. This paper proposes a new guideline-based software development approach that provides the suitable guidelines for the software engineer, throughout the phases of software development for the purpose of achieving a high quality level of non-functional attributes of software.
Court of Last Appeal - The Early History of the High-fat Diet for Diabetes

The first low carbohydrate diets for diabetes, which were introduced in the 18th century, were not high fat diets so much as high protein diets. By the late nineteenth century a consensus had begun to appear in European studies that a higher fat and lower protein intake was more tolerable. Frederick Allen confirmed this in animal studies, but the diet he introduced into clinical practice in 1914 restricted fat, protein, and total calories, becoming in extreme cases a starvation diet with the deadly side effect of “inanition”. Interpreting Allen’s research in light of the studies in chemical metabolism of Rollin Woodyatt, Louis “Harry” Newburgh, with Phil Marsh, dared to increase fat in the diets of diabetic patients at the University of Michigan Hospital in 1918, with gratifying results which were published in 1920. A dispute followed between Newburgh and Allen’s disciple Elliott P Joslin; Woodyatt, Russell M Wilder, Karl Petren and others confirmed Newburgh’s results by experimentation and by 1924 Joslin too was reporting the higher fat diet’s ability to extend life in diabetics untreated with insulin. However, a dispute between Joslin and Newburgh about the long-term safety of the high fat diet continued long into the insulin era. Because the debate about the effect of the high-fat diet in the tabula rasa of the pre-insulin era only lasted a few years, and rigorous research into the question was largely limited to the state of Michigan, medical history has paid little attention to the fact that the question of what is the “optimum”, or default, diet for diabetes, based on physiological principles as well as clinical practice and experiment, was at one time almost settled. This historical review paper summarises the early clinical researches of Newburgh et al. into the effects of the high-fat diet in the treatment of diabetes, with a particular focus on events in Michigan between 1918 and 1930.
A targeted mutation at the known collagenase cleavage site in mouse type I collagen impairs tissue remodeling

Degradation of type I collagen, the most abundant collagen, is initiated by collagenase cleavage at a highly conserved site between Gly775 and Ile776 of the alpha 1 (I) chain. Mutations at or around this site render type I collagen resistant to collagenase digestion in vitro. We show here that mice carrying a collagenase-resistant mutant Col1a-1 transgene die late in embryo-genesis, ascribable to overexpression of the transgene, since the same mutation introduced into the endogenous Col1a-1 gene by gene targeting permitted normal development of mutant mice to young adulthood. With increasing age, animals carrying the targeted mutation developed marked fibrosis of the dermis similar to that in human scleroderma. Postpartum involution of the uterus in the mutant mice was also impaired, with persistence of collagenous nodules in the uterine wall. Although type I collagen from the homozygous mutant mice was resistant to cleavage by human or rat fibroblast collagenases at the helical site, only the rat collagenase cleaved collagen trimers at an additional, novel site in the nonhelical N-telopeptide domain. Our results suggest that cleavage by murine collagenase at the N-telopeptide site could account for resorption of type I collagen during embryonic and early adult life. During intense collagen resorption, however, such as in the immediate postpartum uterus and in the dermis later in life, cleavage at the helical site is essential for normal collagen turnover. Thus, type I collagen is degraded by at least two differentially controlled mechanisms involving collagenases with distinct, but overlapping, substrate specificities.