Miracle-dz/UniFAR-FTUs huggingface dataset:
Recent decline in age at menarche: The Fels Longitudinal Study

A number of recent reports suggest that the average age at menarche of US girls has declined over the past 20 years. Because the putative declines in the age at menarche are concurrent with increases in childhood body mass index (BMI), it has been suggested that these two trends may be causally linked. We examined differences in mean age of menarche in Fels Longitudinal Study girls who were born in six 10‐year birth cohorts (1930s, 1940s, 1950s, 1960s, 1970s, and 1980s) and simultaneous cohort changes in mean BMI measured cross‐sectionally at selected ages from 3–35 years (n = 371). Girls born in the 1980s had a mean age at menarche of 12.34 years, which was ∼3–6 months earlier than that of girls born previously (P < 0.001). While the mean BMI values at ages 25 and 35 generally increased from the 1930s to the 1970s, the mean BMI during childhood and adolescence remained constant across the six birth cohorts. In summary, we found no evidence that the recent decline in the age at menarche in the Fels Longitudinal Study girls was reflected in concurrent increases in BMI at any point in childhood or adolescence. Conversely, girls born in the 1960s and 1970s have subsequently become heavier in young and mid‐adulthood than were girls from earlier birth cohorts, without any concurrent change in the mean age at menarche over that time period. These two findings suggest that population‐level shifts in BMI and the timing of menarche are largely independent, although sometimes coincident, processes. Am. J. Hum. Biol. 16:453–457, 2004. © 2004 Wiley‐Liss, Inc.
Self-reported eating rate and metabolic syndrome in Japanese people: cross-sectional study

Objectives To examine the association between self-reported eating rate and metabolic syndrome. Design Cross-sectional study. Setting Annual health checkup at a health check service centre in Japan. Participants A total of 56 865 participants (41 820 male and 15 045 female) who attended a health checkup in 2011 and reported no history of coronary heart disease or stroke. Main outcome measure Metabolic syndrome was defined by the joint of interim statement of the International Diabetes Federation and the American Heart Association/National Heart, Lung, and Blood Institute. Results In multiple logistic regression models, eating rate was significantly and positively associated with metabolic syndrome. The multivariable-adjusted ORs (95% CI) for slow, normal and fast were 0.70 (0.62 to 0.79), 1.00 (reference) and 1.61 (1.53 to 1.70), respectively, in men (p for trend <0.001), and 0.74 (0.60 to 0.91), 1.00 (reference) and 1.27 (1.13 to 1.43), respectively, in women (p for trend <0.001). Of metabolic syndrome components, abdominal obesity showed the strongest association with eating rate. The associations of eating rate and metabolic syndrome and its components were largely attenuated after further adjustment for body mass index; however, the association of slow eating with lower odds of high blood pressure (men and women) and hyperglycaemia (men) and that of fast eating with higher odds of lipid abnormality (men) remained statistically significant. Conclusions Results suggest that eating rate is associated with the presence of metabolic syndrome and that this association is largely accounted for by the difference in body mass according to eating rate.
A Comparison of Natural and Urban Characteristics and the Development of Urban Intensity Indices across Six Geographic Settings

As part of the U.S. Geological Survey National Water-Quality Assessment Program, the effects of urbanization on stream ecosystems have been intensively investigated in six metropolitan areas in the United States. Approximately 30 watersheds in each area, ranging in size from 4 to 560 square kilometers (median is 50 square kilometers), and spanning a development gradient from very low to very high urbanization, were examined near Atlanta, Georgia; Raleigh, North Carolina; Denver, Colorado; Dallas-Fort Worth, Texas; Portland, Oregon; and Milwaukee-Green Bay, Wisconsin. These six studies are a continuation of three previous studies in Boston, Massachusetts; Birmingham, Alabama; and Salt Lake City, Utah. In each study, geographic information system data for approximately 300 variables were assembled to (a) characterize the environmental settings of the areas and (b) establish a consistent multimetric urban intensity index based on locally important land-cover, infrastructure, and socioeconomic variables. This paper describes the key features of urbanization and the urban intensity index for the study watersheds within each area, how they differ across study areas, and the relation between the environmental setting and the characteristics of urbanization. A number of features of urbanization were identified that correlated very strongly to population density in every study area. Of these, road density had the least variability across diverse geographic settings and most closely matched the multimetric nature of the urban intensity index. A common urban intensity index was derived that ranks watersheds across all six study areas. Differences in local natural settings and urban geography were challenging in (a) identifying consistent urban gradients in individual study areas and (b) creating a common urban intensity index that matched the site scores of the local urban intensity index in all areas. It is intended that the descriptions of the similarities and differences in urbanization and environmental settings across these study areas will provide a foundation for understanding and interpreting the effects of urbanization on stream ecosystems in the studies being conducted as part of the National Water-Quality Assessment Program.
Effect of ENSO events on sediment production in a large coastal basin in northern Peru

Although the importance of ENSO on hydrological anomalies has been recognized, variations in sediment fluxes caused by these extreme events are poorly documented. The effect of ENSO is not limited to changes in sediment mobilization. Since ENSO events can affect terrestrial ecosystems, they may have important effects on sediment production and transport in river basins over time spans that are longer than the duration of the event itself. The Catamayo‐Chira basin is an interesting casestudy for investigating these geomorphic implications. The objectives were: (i) to study the effect of ENSO on stream flow and sediment yields in the basin, (ii) to investigate if ENSO events affect sediment yields in the post‐ENSO period and (iii) to understand which factors control the ENSO and post‐ENSO basin response. During strong negative ENSO periods, mean annual stream flow discharge at the inlet of the Poechos reservoir in the lower basin was 5.4 times higher than normal annual discharges, while average sediment fluxes exceeded those of normal years by a factor of about 11. In two heavily affected periods, 45.9% of the total sediment yield in the 29 years observation period was generated. Sediment fluxes in the post‐ENSO period are lower than expected, which proves post‐ENSO event dynamics are significantly different from pre‐event dynamics. Our analysis indicates the increase of vegetation growth in the lower basin is not the main reason explaining considerable sediment flux decrease in post‐ENSO periods. During strong ENSO events, sediment in alluvial stores in the lower part of the basin is removed due to enlarging and deepening of channels. In post‐ENSO periods, normal discharges and persisting sediment supplies from the middle/upper basin lead to river aggradation and storage of large amounts of sediment in alluvial plains. The decrease in sediment export will last for several years until the equilibrium is re‐established. Copyright © 2011 John Wiley & Sons, Ltd.
Limiting Wavelength Converter Usage in Resilient WDM Networks

A careful wavelength assignment (WA) to lambda services must be performed to reduce the total number of wavelength converters (WCs) that are required when the wavelength continuity constraint cannot be met in wavelength division multiplexing (WDM) networks. With the successful introduction of reconfigurable optical add-drop multiplexers (ROADMs), WDM networks are now growing in size, both in the number of optical nodes and the number of wavelengths supported. Fast and memory efficient WA algorithms are required to design cost effective large WDM networks. This paper presents a scalable and efficient WA heuristic algorithm aimed at reducing the total number of WCs that are required in (large) WDM networks bearing static lambda services. The WA algorithm is applied to both unprotected and (dedicated) protected lambda services. In the latter case, the wavelength continuity constraint between the working and protection path of a lambda service is taken into consideration when non-tunable optical transceivers are employed.
DEVELOPMENT OF AN EFFICIENT AND SIMPLE METHOD FOR CONJUGATION OF LACCASE TO IMMUNOGLOBULIN AND ITS CHARACTERIZATION BY ENZYME IMMUNOASSAY

A new laccase-conjugated antibody is developed, containing laccase as an enzyme marker, obtained from culture supernatant of the basidiomycetous fungi Pleurotus ostreatus. The efficacy of the laccase-conjugated antibody was demonstrated in indirect and direct enzyme immunoassay after using periodate and glutaraldehyde conjugation methods. The assay based on laccase-conjugated antibody is potent to detect antigens when compared with peroxidase conjugated antibody.
Normalized, Segmented or Called aCGH Data?

Array comparative genomic hybridization (aCGH) is a high-throughput lab technique to measure genome-wide chromosomal copy numbers. Data from aCGH experiments require extensive pre-processing, which consists of three steps: normalization, segmentation and calling. Each of these pre-processing steps yields a different data set: normalized data, segmented data, and called data. Publications using aCGH base their findings on data from all stages of the pre-processing. Hence, there is no consensus on which should be used for further down-stream analysis. This consensus is however important for correct reporting of findings, and comparison of results from different studies. We discuss several issues that should be taken into account when deciding on which data are to be used. We express the believe that called data are best used, but would welcome opposing views.
Characterization of the Critical Amino Acids of anAspergillus parasiticus Cytochrome P-450 Monooxygenase Encoded by ordA That Is Involved in the Biosynthesis of Aflatoxins B1, G1, B2, and G2

ABSTRACT The conversion of O-methylsterigmatocystin (OMST) and dihydro-O-methylsterigmatocystin to aflatoxins B1, G1, B2, and G2requires a cytochrome P-450 type of oxidoreductase activity.ordA, a gene adjacent to the omtA gene, was identified in the aflatoxin-biosynthetic pathway gene cluster by chromosomal walking in Aspergillus parasiticus. The ordA gene was a homolog of the Aspergillus flavus ord1 gene, which is involved in the conversion of OMST to aflatoxin B1. Complementation of A. parasiticus SRRC 2043, an OMST-accumulating strain, with theordA gene restored the ability to produce aflatoxins B1, G1, B2, and G2. TheordA gene placed under the control of the GAL1promoter converted exogenously supplied OMST to aflatoxin B1 in Saccharomyces cerevisiae. In contrast, the ordA gene homolog in A. parasiticus SRRC 2043, ordA1, was not able to carry out the same conversion in the yeast system. Sequence analysis revealed that theordA1 gene had three point mutations which resulted in three amino acid changes (His-400→Leu-400, Ala-143→Ser-143, and Ile-528→Tyr-528). Site-directed mutagenesis studies showed that the change of His-400 to Leu-400 resulted in a loss of the monooxygenase activity and that Ala-143 played a significant role in the catalytic conversion. In contrast, Ile-528 was not associated with the enzymatic activity. The involvement of the ordA gene in the synthesis of aflatoxins G1, and G2 inA. parasiticus suggests that enzymes required for the formation of aflatoxins G1 and G2 are not present in A. flavus. The results showed that in addition to the conserved heme-binding and redox reaction domains encoded by ordA, other seemingly domain-unrelated amino acid residues are critical for cytochrome P-450 catalytic activity. TheordA gene has been assigned to a new cytochrome P-450 gene family named CYP64 by The Cytochrome P450 Nomenclature Committee.
A schizophrenia gene locus on chromosome 17q21 in a new set of families of Mexican and central american ancestry: evidence from the NIMH Genetics of schizophrenia in latino populations study.

OBJECTIVE The present study investigated a new set of families of Latin American ancestry in order to detect the location of genes predisposing to schizophrenia and related psychotic disorders. METHOD A genome-wide scan was performed for 175 newly recruited families with at least two siblings suffering from a psychotic disorder. Best-estimate consensus procedures were used to arrive at diagnoses, and nonparametric allele-sharing statistics were calculated to detect linkage. RESULTS Genome-wide significant evidence for linkage for the phenotype of DSM-IV schizophrenia or schizoaffective disorder was found in a region on chromosome 17q21 (lod score, 3.33). A region on chromosome 15q22-23 showed suggestive evidence of linkage with this same phenotype (lod score, 2.11). Analyses using a broader model (any psychosis) yielded evidence of suggestive linkage for the 17q21 region only, and no region achieved genome-wide significance of linkage. CONCLUSIONS The new set of 175 families of Mexican and Central American ancestry delineates two new loci likely to harbor predisposition genes for schizophrenia and schizoaffective disorder. The region with the strongest support for linkage in this sample, 17q21, has been implicated in meta-analyses of schizophrenia genome screens, but the authors found no previous reports of it as a locus for schizophrenia in specific population- or family-based studies, and it may represent the location of a schizophrenia predisposition gene (or genes) of special relevance in Mexican and Central American populations.
Motor dysfunction in mild cognitive impairment and the risk of incident Alzheimer disease.

BACKGROUND Little is known about motor function in mild cognitive impairment (MCI) and its relation to the risk of Alzheimer disease (AD). OBJECTIVE To examine motor function in persons with MCI and its relation to risk of AD. DESIGN Longitudinal cohort study. SETTING More than 40 Catholic religious orders across the United States. PARTICIPANTS We studied 816 older Catholic clergy members from the Religious Orders Study. At the baseline evaluation, they were classified as having no cognitive impairment (n = 558), MCI (n = 198), or dementia (n = 60). MAIN OUTCOME MEASURES Motor function was assessed at baseline using performance-based measures of upper and lower extremity function and a modified version of the motor section of the Unified Parkinson's Disease Rating Scale, from which previously established measures of parkinsonian signs were derived. Clinical evaluations for dementia and AD were repeated annually for up to 10 years. All analyses controlled for age, sex, educational level, and possession of at least 1 apolipoprotein E epsilon4 allele. RESULTS At baseline, individuals with MCI had impaired motor function relative to those without cognitive impairment and superior motor function vs those with dementia. Among those with MCI, baseline levels of lower extremity motor performance, parkinsonian gait, and bradykinesia were inversely related to risk of AD, even after controlling for clinical stroke. Thus, a person with impaired lower limb performance or parkinsonian gait (10th percentile) was 2 to 3 times more likely to develop AD than a person with good lower limb function (90th percentile). CONCLUSIONS Persons with MCI also have impaired motor function, and the degree of impairment in lower extremity function is related to the risk of AD.
Learning to Make Inferences in a Semantic Parsing Task

We introduce a new approach to training a semantic parser that uses textual entailment judgements as supervision. These judgements are based on high-level inferences about whether the meaning of one sentence follows from another. When applied to an existing semantic parsing task, they prove to be a useful tool for revealing semantic distinctions and background knowledge not captured in the target representations. This information is used to improve the quality of the semantic representations being learned and to acquire generic knowledge for reasoning. Experiments are done on the benchmark Sportscaster corpus (Chen and Mooney, 2008), and a novel RTE-inspired inference dataset is introduced. On this new dataset our method strongly outperforms several strong baselines. Separately, we obtain state-of-the-art results on the original Sportscaster semantic parsing task.
Information-Theoretic Multi-Robot Adaptive Exploration and Mapping of Environmental Hotspot Fields

Recent research in robot exploration and mapping has focused on sampling hotspot elds. This exploration task is formalized by [3] in a decision-theoretic planning framework called MAXP. The time complexity of solving MAXP approximately depends on the map resolution, which limits its use in large-scale, high-resolution exploration and mapping. To alleviate this computational diculty, this paper presents an informationtheoretic approach to MAXP (iMAXP); by reformulating the cost-minimizingiMAXP as a reward-maximizing problem, its time complexity becomes independent of map resolution and is less sensitive to increasing robot team size. Using the reward-maximizing dual, we derive a novel adaptive variant of maximum entropy sampling, thus improving the induced policy performance. We also demonstrate the superior performance of exploration policies for sampling the log-Gaussian process to that of policies for the Gaussian process in mapping the hotspot eld. Lastly, we provide sucient conditions
Salinomycin inhibited cell proliferation and induced apoptosis in human uterine leiomyoma cells

Objective The aim of this study was to investigate the anti-proliferative effect of the salinomycin in cell proliferation and apoptosis in primary cultured human uterine leiomyoma cells. Methods Cell viability was measured by MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) assay. Caspase-3 activity assay and DNA fragmentation assay were performed to determine the effect of apoptosis. The expression of apoptosis regulatory-related proteins was evaluated by western blot. Results The cell viability and proliferation of uterine leiomyoma cells were significantly reduced by salinomycin treatment in a dose-dependent manner. DNA fragmentation assay results showed apoptotic cell death after salinomycin incubation. Salinomycin activated caspase-3, -8, and -9, causing apoptosis in uterine leiomyoma cells. Down-regulation of Bcl-2, XIAP, and FLIP with a concomitant increase in Bax, Fas, and DR5 were observed. Conclusion These results provided the first evidence that salinomycin induce both intrinsic and extrinsic apoptosis. Therefore, salinomycin may be a promising chemopreventive and therapeutic agent against human uterine leiomyoma.
Robots learning how and where to approach people

Robot navigation in human environments has been in the eyes of researchers for the last few years. Robots operating under these circumstances have to take human awareness into consideration for safety and acceptance reasons. Nonetheless, navigation have been often treated as going towards a goal point or avoiding people, without considering the robot engaging a person or a group of people in order to interact with them. This paper presents two navigation approaches based on the use of inverse reinforcement learning (IRL) from exemplar situations. This allow us to implement two path planners that take into account social norms for navigation towards isolated people. For the first planner, we learn an appropriate way to approach a person in an open area without static obstacles, this information is used to generate robot's path plan. As for the second planner, we learn the weights of a linear combination of continuous functions that we use to generate a costmap for the approach-behavior. This costmap is then combined with others, e.g. a costmap with higher cost around obstacles, and finally a path is generated with Dijkstra's algorithm.
A Fast Duplicate Chunk Identifying Method Based on Hierarchical Indexing Structure

To solve the disk bottleneck problem of deduplication system without depending on the data locality, a fast duplicate chunk identifying method based on hierarchical indexing structure is proposed. In this method, the traditional flat indexing structure is vertically divided into two layers, and only a handful of the most representative indices selected according to the Broder's theorem are kept in the RAM. The experiment results on real data, which are lack of locality, indicate that the deduplication performance of this method can reach 87.05% of the optimal value with a far less RAM requirement than the current methods.
Influence of particle aggregation on deposition of distal tephra from the MAy 18, 1980, eruption of Mount St. Helens volcano

The May 18, 1980, eruption of Mount St. Helens (MSH) produced an extensive ashfall deposit in Washington, Idaho, and Montana with a minumum volume of 0.55 km3 (tephra). An unusual feature of the deposit is the occurrence of a second thickness maximum 325 km ENE of MSH near Ritzville, Washington. Grain size and component abundance analysis of samples along the main dispersal axis indicates that ash in this region is very fine grained (mean size, 22 μm), poorly sorted, polymodal, and rich in glass shards and pumice fragments. A computer simulation of ash fallout from an atmospherically dispersed eruption plume was developed to evaluate various hypotheses for the origin of the distal ash characteristics, particularly the thickness versus distance relationship. The model was constrained by observations of the eruption column height, elevation of major ash transport, lateral spreading of the eruption plume, and atmospheric wind structure in the vicinity of MSH. Results of different simulations indicate that the second thickness maximum cannot be attributed to either decreased wind velocities over central Washington or injection of fine ash above the horizontal wind velocity maximum near the tropopause. For the model to fit the observed characteristics of the deposit, significant particle aggregation of ash finer than 63 μm must be invoked. The best fit occurs when ash less than 63 μm is aggregated into particles several hundred microns in diameter with a settling velocity of 0.35 m/s. Support for this process comes from the observation and collection of fragile ash clusters of similar size which fell at Pullman, Washington, during the May 18 eruption (Sorem, 1982). The premature fallout of fine ash as particle aggregates is a fundamental process in the origin of the grain size characteristics, variations in component abundances, and thickness versus distance relationship of the May 18 MSH ash fall deposit.
Location tracking prevention with dummy messages for vehicular communications

In emerging vehicular communication systems, each vehicle periodically broadcasts safety messages, which contains various vehicle parameters such as location and velocity. While safety messages are designed for advanced road safety and traffic efficiency, a significant concern is that eavesdroppers can track the vehicle's trajectory. In particular, this tracking is easily performed in low vehicle density environments. To address this location privacy issue, we propose a location privacy protection method in such environments using dummy node messages. In our approach, from an eavesdropper's view, the vehicle density is increased by the generation of dummy node messages. Simulation results show that our proposed method reduces tracking probability in high/low vehicle density environments.