Miracle-dz/UniFAR-FTUs huggingface dataset:
Is an Oral Glucose Tolerance Test Still Valid for Diagnosing Diabetes Mellitus?

Background We evaluated the diagnostic rate of diabetes using fasting plasma glucose (FPG), 2-hour plasma glucose (2h PG) after 75 g oral glucose tolerance test (OGTT), and glycosylated hemoglobin (HbA1c) levels, and we elucidated the pathophysiologic characteristics and risk factors that give rise to diabetes in patients with prediabetes. Methods The data of 236 patients who had the OGTT at Konkuk University Hospital were analyzed. Fasting, 30, and 120 minutes blood glucose levels and insulin levels were measured. The diagnostic rate of diabetes was assessed using FPG, 2h PG, and HbA1c levels. The clinical data and insulin resistance and secretion evaluations were compared using indexes according to the fasting glucose level. Results Among 236 subjects, 97 (41.1%) were diabetics and 102 (43.2%) were prediabetics. The rate of diabetes diagnosis by one of the individual criteria was 56.7%, 53.6%, and 84.5% for FPG, HbA1c, and 2h PG, respectively. When two criteria were used to diagnose diabetes, 72.2% of the diabetic patients were identified by FPG and HbA1c, while 100% were identified by FPG and 2h PG, and 91.7% were identified by 2h PG and HbA1c. The HbA1c cut-off value for 2h PG ≥200 mg/dL was 6.1%, and the FPG cut-off value was 115 mg/dL. In impaired fasting glucose subjects, the HbA1c level, Matsuda index, and insulinogenic index were associated with risk of occurrence of overt diabetes (P<0.01). Conclusion This study suggests that performing additional OGTT for patients with FPG ≥110 mg/dL or HbA1c ≥6.1% is helpful to reclassify their glucose tolerance status and evaluate their potential for progressing to overt diabetes.
Temperature-Dependent Variations in Sulfate-Reducing Communities Associated with a Terrestrial Hydrocarbon Seep

Terrestrial hydrocarbon seeps are an important source of naturally emitted methane over geological time. The exact community compositions responsible for carbon cycling beneath these surface features remain obscure. As sulfate reduction represents an essential process for anoxic organic mineralization, this study collected muddy fluids from a high-temperature hydrocarbon seep in Taiwan and analyzed community structures of sulfate-supplemented sediment slurries incubated anoxically at elevated temperatures. The results obtained demonstrated that sulfate consumption occurred between 40°C and 80°C. Dominant potential sulfate reducers included Desulfovibrio spp. , Desulfonatronum spp. , Desulforhabdus spp. , and Desulfotomaculum spp. at 40°C, Thermodesulfovibrio spp. at 50°C, Thermodesulfovibrio spp. and Thermacetogenium spp. at 60°C, Thermacetogenium spp. and Archaeoglobus spp. at 70°C, and Archaeoglobus spp. at 80°C. None of these potential sulfate reducers exceeded 7% of the community in the untreated sample. Since no exogenous electron donor was provided during incubation, these sulfate reducers appeared to rely on the degradation of organic matter inherited from porewater and sediments. Aqueous chemistry indicated that fluids discharged in the region represented a mixture of saline formation water and low-salinity surface water; therefore, these lines of evidence suggest that deeply-sourced, thermophilic and surface-input, mesophilic sulfate-reducing populations entrapped along the subsurface fluid transport could respond rapidly once the ambient temperature is adjusted to a range close to their individual optima.
Multivalent Interactions of Human Primary Amine Oxidase with the V and C22 Domains of Sialic Acid-Binding Immunoglobulin-Like Lectin-9 Regulate Its Binding and Amine Oxidase Activity

Sialic acid-binding immunoglobulin-like lectin-9 (Siglec-9) on leukocyte surface is a counter-receptor for endothelial cell surface adhesin, human primary amine oxidase (hAOC3), a target protein for anti-inflammatory agents. This interaction can be used to detect inflammation and cancer in vivo, since the labeled peptides derived from the second C2 domain (C22) of Siglec-9 specifically bind to the inflammation-inducible hAOC3. As limited knowledge on the interaction between Siglec-9 and hAOC3 has hampered both hAOC3-targeted drug design and in vivo imaging applications, we have now produced and purified the extracellular region of Siglec-9 (Siglec-9-EC) consisting of the V, C21 and C22 domains, modeled its 3D structure and characterized the hAOC3–Siglec-9 interactions using biophysical methods and activity/inhibition assays. Our results assign individual, previously unknown roles for the V and C22 domains. The V domain is responsible for the unusually tight Siglec-9–hAOC3 interactions whereas the intact C22 domain of Siglec-9 is required for modulating the enzymatic activity of hAOC3, crucial for the hAOC3-mediated leukocyte trafficking. By characterizing the Siglec-9-EC mutants, we could conclude that R120 in the V domain likely interacts with the terminal sialic acids of hAOC3 attached glycans whereas residues R284 and R290 in C22 are involved in the interactions with the active site channel of hAOC3. Furthermore, the C22 domain binding enhances the enzymatic activity of hAOC3 although the sialic acid-binding capacity of the V domain of Siglec-9 is abolished by the R120S mutation. To conclude, our results prove that the V and C22 domains of Siglec-9-EC interact with hAOC3 in a multifaceted and unique way, forming both glycan-mediated and direct protein-protein interactions, respectively. The reported results on the mechanism of the Siglec-9–hAOC3 interaction are valuable for the development of hAOC3-targeted therapeutics and diagnostic tools.
NASA Cold Land Processes Experiment (CLPX 2002/03): Ground-Based and Near-Surface Meteorological Observations

A short-term meteorological database has been developed for the Cold Land Processes Experiment (CLPX). This database includes meteorological observations from stations designed and deployed exclusively for CLPXas well as observations available from other sources located in the small regional study area (SRSA) in north-central Colorado. The measured weather parameters include air temperature, relative humidity, wind speed and direction, barometric pressure, short- and long-wave radiation, leaf wetness, snow depth, snow water content, snow and surface temperatures, volumetric soil-moisture content, soil temperature, precipitation, water vapor flux, carbon dioxide flux, and soil heat flux. The CLPX weather stations include 10 main meteorological towers, 1 tower within each of the nine intensive study areas (ISA) and one near the local scale observation site (LSOS); and 36 simplified towers, with one tower at each of the four corners of each of the nine ISAs, which measured a reduced set of parameters. An eddy covariance system within the North Park mesocell study area (MSA) collected a variety of additional parameters beyond the 10 standard CLPX tower components. Additional meteorological observations come from a variety of existing networks maintained by the U.S. Forest Service, U.S. Geological Survey, Natural Resource Conservation Service, and the Institute of Arctic and Alpine Research. Temporal coverage varies from station to station, but it is most concentrated during the 2002/ 03 winter season. These data are useful in local meteorological energy balance research and for model development and testing. These data can be accessed through the National Snow and Ice Data Center Web site.
Spatial risk perception among 9th grade students mainland Portugal versus the metropolitan area of Porto

Abstract This study aims to assess the perception that 9th year students have about some key concepts related to the “science of risk” and to evaluate their ability to identify and classify the natural and mixed risks with a greater probability of occurrence, both at national level and in the Metropolitan Area of Porto (MAP). A questionnaire was applied to 308 students in the 9th year, before the content was taught in geography classes. The results show that students have major difficulties when assessing concepts (such as susceptibility, vulnerability and disaster) and the causes, consequences and mitigation measures identification were evaluated by them as the most important local/municipal risks. In general, the students rated forest fire as the risk most likely to occur, both nationally and in all the MAP municipalities, with a classification of high (national) and moderate (MAP). At municipal level, however, some differences were highlighted in the ranking for the different types of risk. These results also suggest that risk perception is shaped by informal sources of information such as that provided by mass media, and the proximity to a certain type of risk.
Proof(s) of the Lamperti representation of Continuous-State Branching Processes

This paper uses two new ingredients, namely stochastic differential equations satisfied by continuous-state branching processes (CSBPs), and a topology under which the Lamperti transformation is continuous, in order to provide self-contained proofs of Lamperti's 1967 representation of CSBPs in terms of spectrally positive Levy processes. The first proof is a direct probabilistic proof, and the second one uses approximations by discrete processes, for which the Lamperti representation is evident.
Research on loading simulation of DC torque motor for electrical load simulator

Electrical load simulator (ELS) is very important system of hardware in the loop simulation (HILL) in the ground-based. The ELS can reproduce actual loading torque acting on servo rudders of missiles or aircraft in flight conditions, which is a special passive dual servo system. According to the requirements of enduring aerodynamic pneumatic load on the rudders of missiles, in this paper four loading modes of DC torque motor are proposed in the condition of constant and sinusoidal torque loading with disturbance and without disturbance. Detailed simulation experiments show that DC torque motor driver not only satisfies the requirement of electrical load simulator' loading, but also realizes bi-directional transmission of energy, high power factor, high efficiency and good performance.
Training and service provision for people with intellectual disability and mental illness: the views of psychiatrists

Objectives: The objectives of this mixed methods study are to 1) investigate the knowledge and skills of mainstream psychiatrists in managing patients with Intellectual Disability (ID) and comorbid mental health disorders, 2) assess their perception of the quality and accessibility of services for this population, and 3) establish the local implementation of the Green Light Toolkit. Method: We surveyed mainstream psychiatrists in the Thames Valley region working in general adult, forensic, and older adult services, to ascertain their opinions about their knowledge and skills in managing patients with ID and comorbid mental disorder, as well as quality and accessibility of services. We compared our findings with previous UK and international research. Results: Respondents mirrored views expressed in earlier studies that inpatient care should be provided in dedicated units for people with ID, rather than general adult inpatient wards. Limited resources, training and competence, and lack of collaborative working were highlighted as key barriers to provision of effective care. Conclusion: Psychiatrists broadly support a specialist service model for people with ID. In the UK, specialist psychiatric services for people with ID have been delivered through inpatient and community services, but there is a current shift towards integrating ID with mainstream service models. Participants expressed concern that mainstream services fail to meet the mental health needs of this patient group, and lead to increased patient vulnerability. The Green Light Toolkit was not well known or used within services. A number of ways of improving collaborative care between services are suggested.
The relation between media exposure and body satisfaction: An examination of moderating variables derived from social comparison theory

THE RELATION BETWEEN MEDIA EXPOSURE AND BODY SATISFACTION: AN EXAMINATION OF MODERATING VARIABLES DERIVED FROM SOCIAL COMPARISON THEORY by Shelley R. Strowman University of New Hampshire, May, 1996 The relation between media exposure and body satisfaction was investigated using correlational and experimental approaches. Several variables were examined as potential moderators of this relation (perceived similarity to magazine models, self-relevance of weight, perceived control over weight, tendency to compare to models, and body mass). These variables were derived primarily from past research on Festinger's (1954) social comparison theory. In Study 1, male and female subjects reported the amount of time they spent reading magazines pre-coded as having a body image or non-body image emphasis. Body image magazine exposure was unrelated to body satisfaction and self-esteem when correlations were computed separately by sex of subject. The moderator variables did not play a major role in the exposure-satisfaction relation, but many were directly associated with body satisfaction, particularly for women. In Study 2, female subjects viewed advertisements containing thin, heavier, or no fashion models. Graphics software was used to manipulate the models' weight while xi other factors, such as facial appearance and clothing, were held constant. Body satisfaction and self-esteem changed minimally in response to all three types of advertisements and these changes did not differ significantly across experimental conditions. The thin and heavier model advertisements received similar liking scores suggesting that college-age women may be amenable to seeing models of varying sizes in advertisements. In general, advertisement liking scores and purchase intentions were higher among those concerned with their appearance.
CLINICAL DISEASE AND LABORATORY ABNORMALITIES IN FREE-RANGING DESERT TORTOISES IN CALIFORNIA (1990–1995)

Desert tortoise (Gopherus agassizii) populations have experienced precipitous declines resulting from the cumulative impact of habitat loss and human and disease-related mortality. Diagnosis of disease in live, free-ranging tortoises is facilitated by evaluation of clinical signs and laboratory test results but may be complicated by seasonal and environmental effects. The goals of this study were: 1) to describe and monitor clinical and laboratory signs of disease in adult, free-ranging desert tortoises at three sites in the Mojave Desert of California (USA) between October 1990 and October 1995; 2) to evaluate associations between clinical signs and hematologic, biochemical, serologic, and microbiologic test results; 3) to characterize disease patterns by site, season, and sex; and 4) to assess the utility of diagnostic tests in predicting morbidity and mortality. Venous blood samples were obtained four times per year from tortoises of both sexes at the Desert Tortoise Research Natural Area (DTNA), Goffs/Fenner Valley, and Ivanpah Valley. Tortoises were given a physical examination, and clinical abnormalities were graded by type and severity. Of 108 tortoises, 68.5% had clinical signs of upper respiratory tract disease consistent with mycoplasmosis at least once during the study period. In addition, 48.1% developed moderate to severe shell lesions consistent with cutaneous dyskeratosis. Ulcerated or plaque-like oral lesions were noted on single occasions in 23% of tortoises at Goffs and 6% of tortoises at Ivanpah. Tortoises with oral lesions were significantly more likely than tortoises without lesions to have positive nasal cultures for Mycoplasma agassizii (P=0.001) and to be dehydrated (P=0.0007). Nine tortoises had marked azotemia (blood urea nitrogen [BUN] >100 mg/dl) or persistent azotemia (BUN 63–76 mg/dl); four of these died, three of which had necropsy confirmation of urinary tract disease. Laboratory tests had low sensitivity but high specificity in assessing morbidity and mortality; there was marked discrepancy between serologic and culture results for M. agassizii. Compared with tortoises at other sites, tortoises at DTNA were more likely to be seropositive for M. agassizii. Tortoises at Goffs were significantly more likely to have moderate to severe shell disease, oral lesions, positive nasal cultures for M. agassizii, and increased plasma aspartate aminotransferase activity. The severe disease prevalence in Goffs tortoises likely contributed to the population decline that occurred during and subsequent to this study.
A Mobile Agent Based Secure Aggregation in Sensor Network

Compared with traditional wired and wireless networks, low-power wireless sensor networks (WSN) can be rapidly deployed in a large geographical area in a self-configured manner. In such types of networks data aggregation is a key issue. Hop-by-hop data aggregation in this regard is a very important technique for reducing the communication overhead and energy expenditure of sensor nodes during the process of data collection in a sensor network. However, because individual sensor readings are lost in the per-hop aggregation process, compromised nodes in the network may forge false values as the aggregation results of other nodes, resulting the base station into accepting wrong aggregation results. Here a fundamental challenge is how the base station can obtain a good approximation of the aggregated data when a group of sensor nodes are compromised. In this paper, we have designed and implemented a prototype for secure data aggregation using mobile agent (MA) technology. The key advantage of using MA is their capability to move in heterogeneous networks without consuming many resources. The designed scheme uses a novel probabilistic grouping technique to dynamically partition the nodes in a tree topology into multiple logical levels of similar sizes. A commitment-based hop-by-hop aggregation is performed by MA in each group to generate a group aggregate. Extensive analysis and simulations show that designed scheme can achieve the level of efficiency close to an ordinary hop-by-hop aggregation protocol while providing high assurance on the trustworthiness of the aggregation result. The prototype implementation on top of TinyOS shows that designed scheme is practical on current sensor nodes such as Mica2 motes
Increased sperm mitochondrial DNA content in male infertility.

BACKGROUND There is increasing evidence that mitochondrial DNA (mtDNA) anomalies in sperm may lead to infertility. Point mutations, deletions and the presence of a specific mtDNA haplogroup have been associated with poor sperm quality, but little attention has been paid to the role of mtDNA content. METHODS Using density gradient separation and swim-up methods, we selected motile sperm from 32 normal and 35 abnormal sperm samples. The mtDNA/beta-globin gene ratio was determined by real-time quantitative PCR. RESULTS The average mtDNA/beta-globin ratio of sperm collected from 100% density layers was 1.4 for normal sperm, 6.1 for sperm samples presenting at least one abnormal criterion [among the three criteria established by World Health Organization (1999), i.e. sperm count, motility and morphology], and 9.1 for sperm samples presenting two or more of these abnormal criteria. These differences are very highly significant (P < 0.0001). The mtDNA numbers were also much greater in sperm collected from the 40% density gradient layers (mean: 17.1, P < 0.001), known to contain the most abnormal sperm of the sperm samples, than in those collected from the 100% layers known to contain sperm with the best fertilizing ability. CONCLUSION Our results showed significant mtDNA amplification in sperm collected from abnormal sperm samples.
A new method for detecting JEPG doubly compression images by using estimated primary quantization step

Due to the shortages of JPEG doubly compression detection method proposed by Tomas and Li Bin, a new method for detecting the JPEG double compression images is proposed in this paper. Based on the method of estimated doubly JPEG compression images proposed by Lukas[1], the new method used differences between doubly JPEG compression quantization step and single JPEG compressed quantization step, and the estimated quantization step, as the differentiating features to detect doubly JPEG compressed images. Compared with some existing methods, the simulation experimental results show that the new method is effective to improve the accuracy of checking JPEG images whether are doubly compressed or not.
Physical-layer Identification of RFID Devices

In this work we perform the first comprehensive study of physical-layer identification of RFID transponders. We propose several techniques for the extraction of RFID physical-layer fingerprints. We show that RFID transponders can be accurately identified in a controlled environment based on stable fingerprints corresponding to their physical-layer properties. We tested our techniques on a set of 50 RFID smart cards of the same manufacturer and type, and we show that these techniques enable the identification of individual transponders with an Equal Error Rate of 2.43% (single run) and 4.38% (two runs). We further applied our techniques to a smaller set of electronic passports, where we obtained a similar identification accuracy. Our results indicate that physical-layer identification of RFID transponders can be practical and thus has a potential to be used in a number of applications including product and document counterfeiting detection.
Leakage-Aware Reallocation for Periodic Real-Time Tasks on Multicore Processors

It is an increasingly important issue to reduce the energy consumption of computing systems. In this paper, we consider partition based energy-aware scheduling of periodic real-time tasks on multicore processors. The scheduling exploits dynamic voltage scaling (DVS) and core sleep scheduling to reduce both dynamic and leakage energy consumption. If the overhead of core state switching is non-negligible, however, the performance of this scheduling strategy in terms of energy efficiency might degrade. To achieve further energy saving, we extend the static task scheduling with run-time task reallocation. The basic idea is to aggregate idle time among cores so that as many cores as possible could be put into sleep in a way that the overall energy consumption is reduced. Simulation results show that the proposed approach results in up to 20% energy saving over traditional leakage-aware DVS.