Miracle-dz/UniFAR-FTUs huggingface dataset:
Understanding Adolescent Suicide: Correlates in a Developmental Perspective.

Adolescent suicide! It is a shocking suicidal behavior every day (Matter & topic that continues to occupy national Matter, 1984). Even at these levels, headlines. No matter how often the some suspect the numbers to be actu topic is reported or discussed, it always ally higher (Hart & Keidel, 1979; Mat arouses dismay, disbelief, and confuter & Matter, 1984; Celotta, Jacobs, & sion, because it defies comprehension Keys, 1986). Many "accidental" deaths, why some adolescents choose to end such as those caused by drug over their lives, and when it happens, why doses, automobile accidents, firearm it creates such a ripple effect on other accidents, poisonings, and even some teenagers. homicides, are thought to be suicides The statistics are, indeed, difficult to (Hart & Keidel, 1979; Hawton, 1986). come to terms with. Currently, deIn addition, some researchers (Marks pending on the source, suicide is be& Haller, 1977) have suggested that lieved to be either the first, second, or adolescent suicides are underreported third leading cause of adolescent death because of families or physicians cov in the United States (Matter & Matter, ering up the true cause of death in an 1984; Houter, 1981; Hawton, 1986; effort to avoid the stigma placed on the Flanagan, 1985). Figures show that families of adolescents who have corn since 1960 the suicide rate among 15mitted suicide. to 19-year-olds has increased by 142%: Explanations accounting for adoles 143% for White male teenagers; 112% cent suicide, however, have been diffi for non-White male teenagers; 138% cult to ascertain. Because of the myriad for White female teenagers; and 47% interrelating, sociopsychological fac for non-White female teenagers tors associated with an adolescent's de (Hawton, 1986). In 1982, 5,025 people cision to end his or her life, it is impos in the 15to 24-year-old age group chose to take their own lives (Celotta, , T , oi/ aam Walter R. Allberg is working on a postdoctoral J3.CO S, eys, ). intpmshrb in. bcvrhnlnox at the Ar.aA. pmM nf Furthermore, estimates indicate that internship in psychology at the Academy of Behavioral Medicine and Health Psychology, El approximately 50—100 youths attempt Paso, Texas. Lily Chu is an assistant professor suicide every day and that approxi? n the Department of Counseling and Educa mately 30—40 children age 5 to 14 are tional Psychology at New Mexico State Univer admitted to psychiatric hospitals for sity, Las Cruces.
Role of lysine-57 in the catalytic activities of Escherichia coli formamidopyrimidine-DNA glycosylase (Fpg protein).

The Escherichia coli Fpg protein is involved in the repair of oxidized residues. We examined, by targeted mutagenesis, the effect of the conserved lysine residue at position 57 upon the various catalytic activities of the Fpg protein. Mutant Fpg protein with Lys-57-->Gly (K57G) had dramatically reduced DNA glycosylase activity for the excision of 7,8-dihydro-8-oxo-guanine (8-oxoG). While wild type Fpg protein cleaved 8-oxoG/C DNA with a specificity constant ( k cat/ K M) of 0.11/(nM@min), K57G cleaved the same DNA 55-fold less efficiently. FpgK57G was poorly effective in the formation of Schiff base complex with 8-oxoG/C DNA. The efficiency in the binding of 8-oxoG/C DNA duplex for K57G mutant was decreased 16-fold. The substitution of Lys-57 for another basic amino acid Arg (K57R) had a slight effect on the 8-oxoG-DNA glycosylase activity and Schiff base formation. The DNA glycosylase activities of FpgK57G and FpgK57R using 2,6-diamino-4-hydroxy-5N-methylformamidopyrimidine residues as substrate were comparable to that of wild type Fpg. In vivo, the mutant K57G, in contrast to the mutant K57R and wild type Fpg, only partially restored the ability to prevent spontaneously induced transitions G/C-->T/A in E.coli BH990 ( fpg mutY ) cells. These results suggest an important role for Lys-57 in the 8-oxoG-DNA glycosylase activity of the Fpg protein in vitro and in vivo.
MA-GMA: A Mobile Agent-based Grid Monitor Architecture

Grid based computational infrastructure is a promising next generation computing platform for solving large-scale resources- intensive problems. With the developing Grid technologies and applications, the research on the Grid monitoring system gets increasingly essential and significant. As far as the present research are concerned, there exist two mainly technologies in grid performance monitoring: MDS (monitoring and directory service) and GMA(Grid Monitoring Architecture). In this paper the author puts forward a novel Mobile Agent-based Grid Monitoring Architecture (MA-GMA), which introduces the mobile agents and cache mechanism of MDS. Based on the Open Grid Service Architecture (OGSA) standard, we merge the characteristics of intelligence and mobility of mobile agent into the current OGSA to construct a dynamic and extensible monitoring system. In the end, we do some experiments under different environments. From the results of experiments shown, this MA-GMA is proved to be effective and improves the monitoring performance greatly.
Improving the performance of software distributed shared memory with speculation

We study the performance benefits of speculation in a release consistent software distributed shared memory system. We propose a new protocol, speculative home-based release consistency (SHRC) that speculatively updates data at remote nodes to reduce the latency of remote memory accesses. Our protocol employs a predictor that uses patterns in past accesses to shared memory to predict future accesses. We have implemented our protocol in a release consistent software distributed shared memory system that runs on commodity hardware. We evaluate our protocol implementation using eight software distributed shared memory benchmarks and show that it can result in significant performance improvements.
Trinocular disparity processor using a hierarchic classification structure

This paper presents a real-time trinocular disparity processor. The core module performs a pairwise segmented window matching for both the center-right and center-left image pair as their scaled down image pairs. The resulting cost functions are combined which results into nine different curves. A hierarchical classifier is presented which selects the most promising disparity value using information provided by the calculated cost curves and the pixels spatial neighborhood using a two level classification architecture. The disparity processor has been evaluated with an indoor dataset and with a real-time implementation using an FPGA and three cameras. Special care has been taken to reduce the memory footprint so that the processor doesn't need external memory.
The effect of evening alcohol consumption on next-morning glucose control in type 1 diabetes.

OBJECTIVE Alcohol is associated with acute hypoglycemia in patients with type 1 diabetes. After drinking alcohol in the evening, delayed hypoglycemia has also been described, although its cause is unknown. We performed a controlled study to investigate this phenomenon. RESEARCH DESIGN AND METHODS We admitted six men with type 1 diabetes (aged 19-51 years, HbA(1c) 7.0-10.3%) on two occasions, from 5:00 P.M. to 12:00 noon the following day. They received regular insulin injections before standardized meals, at 6:00 P.M. and 8:00 A.M., and a basal insulin infusion (0.15 mU x kg(-1) x min(-1)) from 11:00 P.M. They drank either dry white wine (0.75 g/kg alcohol) or mineral water at 9:00 P.M. over 90 min. Blood glucose, alcohol, insulin, cortisol, growth hormone, and glucagon levels were measured. RESULTS Blood ethanol reached a mean (SEM) peak of 19.1 (1.2) mmol/l and was undetectable by 8:00 A.M. There were no significant differences in evening or overnight blood glucose levels between the studies. In the morning, fasting and postprandial blood glucose levels were significantly lower after consumption of wine (postprandial peak 8.9 [1.7] vs. 15 [1.5] mmol/l, P < 0.01), and from 10:00 A.M., five subjects required treatment for hypoglycemia (nadir 1.9-2.9 mmol/l). None of the subjects had hypoglycemia after consumption of water. After consumption of wine, growth hormone secretion was significantly reduced between midnight and 4:00 A.M. (area under the curve 2.1 [1.1] vs. 6.5 [2.1] microg. l(-1) x h(-1), P = 0.04). There were no differences in insulin or other hormone levels. CONCLUSIONS In type 1 diabetes, moderate consumption of alcohol in the evening may predispose patients to hypoglycemia after breakfast the next morning. This is associated with reduced nocturnal growth hormone secretion. Patients should be informed of this risk and advised regarding appropriate preventative measures.
Failure Avoidance through Fault Prediction Based on Synthetic Transactions

System logs are an important tool in studying the conditions (e.g., environment misconfigurations, resource status, erroneous user input) that cause failures. However, production system logs are complex, verbose, and lack structural stability over time. These traits make them hard to use, and make solutions that rely on them susceptible to high maintenance costs. Additionally, logs record failures after they occur: by the time logs are investigated, users have already experienced the failures' consequences. To detect the environment conditions that are correlated with failures without dealing with the complexities associated with processing production logs, and to prevent failure-causing conditions from occurring before the system goes live, this research suggests a three step methodology: i) using synthetic transactions, i.e., simplified workloads, in pre-production environments that emulate user behavior, ii) recording the result of executing these transactions in logs that are compact, simple to analyze, stable over time, and specifically tailored to the fault metrics of interest, and iii) mining these specialized logs to understand the conditions that correlate to failures. This allows system administrators to configure the system to prevent these conditions from happening. We evaluate the effectiveness of this approach by replicating the behavior of a service used in production at Microsoft, and testing the ability to predict failures using a synthetic workload on a 650 million events production trace. The synthetic prediction system is able to predict 91% of real production failures using 50-fold fewer transactions and logs that are 10,000-fold more compact than their production counterparts.
NOVA: A Functional Language for Data Parallelism

Functional languages provide a solid foundation on which complex optimization passes can be designed to exploit parallelism available in the underlying system. Their mathematical foundations enable high-level optimizations that would be impossible in traditional imperative languages. This makes them uniquely suited for generation of efficient target code for parallel systems, such as multiple Central Processing Units (CPUs) or highly data-parallel Graphics Processing Units (GPUs). Such systems are becoming the mainstream for scientific and commodity desktop computing. Writing performance portable code for such systems using low-level languages requires significant effort from a human expert. This paper presents NOVA, a functional language and compiler for multi-core CPUs and GPUs. The NOVA language is a polymorphic, statically-typed functional language with a suite of higher-order functions which are used to express parallelism. These include map, reduce and scan. The NOVA compiler is a light-weight, yet powerful, optimizing compiler. It generates code for a variety of target platforms that achieve performance comparable to competing languages and tools, including hand-optimized code. The NOVA compiler is stand-alone and can be easily used as a target for higher-level or domain specific languages or embedded in other applications. We evaluate NOVA against two competing approaches: the Thrust library and hand-written CUDA C. NOVA achieves comparable performance to these approaches across a range of benchmarks. NOVA-generated code also scales linearly with the number of processor cores across all compute-bound benchmarks.
The Effects of Loneliness on Telemarketing Fraud Vulnerability Among Older Adults

ABSTRACT Older adults are disproportionately affected by telemarketing fraud, especially those who are socially isolated. Twenty-eight older adult telemarketing fraud victims completed a questionnaire assessing loneliness and other variables related to telemarketing fraud vulnerability. Victims tended to be male, divorced/separated, and college-educated, between ages of 60 and 70. Age and marital status were significantly associated with loneliness. This study is an important first step for additional research in this area and may enhance the prevention and intervention efforts of social service providers who work with older adults who may be most vulnerable.
Catalytic antibodies: balancing between Dr. Jekyll and Mr. Hyde

The immunoglobulin molecule is a perfect template for the de novo generation of biocatalytic functions. Catalytic antibodies, or abzymes, obtained by the structural mimicking of enzyme active sites have been shown to catalyze numerous chemical reactions. Natural enzyme analogs for some of these reactions have not yet been found or possibly do not exist at all. Nowadays, the dramatic breakthrough in antibody engineering and expression technologies has promoted a considerable expansion of immunoglobulin's medical applications and is offering abzymes a unique chance to become a promising source of high‐precision “catalytic vaccines. ” At the same time, the discovery of natural abzymes on the background of autoimmune disease revealed their beneficial and pathogenic roles in the disease progression. Thus, the conflicting Dr. Jekyll and Mr. Hyde protective and destructive essences of catalytic antibodies should be carefully considered in the development of therapeutic abzyme applications.
Frog calls echo microsatellite phylogeography in the European pool frog (Rana lessonae)

Vocalization is an important component of male reproductive behaviour in a wide range of animal taxa. In some species there is considerable intraspecific variation of call characters partitioned on a regional basis. Such ‘regional accents’ could originate from cultural or genetic evolution and have been widely studied in birds. Amphibians, however, have limited learning abilities, and where regional accents occur in this group they are primarily a consequence of genetic evolution. This raises the possibility that regional variations in anuran call characters might be informative about phylogeographic history. Microsatellite studies of the pool frog Rana lessonae have been used previously to infer patterns of post-glacial colonization in Europe, with unexpectedly complex implications for northernmost populations of this species. Therefore, regional variation in call characters of the pool frog was quantified and the pattern observed was concordant with the differentiation of a distinct northern clade as implied by the microsatellite study. We therefore conclude that regional accents in this amphibian are useful phylogeographic indicators of distribution history.
Inverse Finite Element Characterization of Soft Tissues Using Impact Experiments and Taguchi Methods

The objective of this study is to establish a methodology to identify the dynamic properties of soft tissues. Nineteen in vitro impact tests are performed on human muscles at three average strain rates ranging from 136/s to 262/s. Muscle tissues are compressed uniaxially up to 50% strain level. Subsequently, finite element simulations replicating the experimental conditions are executed using the PAM-CRASH, explicit finite element solver. The material properties of the muscles, modelled as linear isotropic viscoelastic material, are identified using inverse finite element mapping of test data using Taguchi methods. Engineering stress engineering strain curves from experimental data and finite element models are computed and compared during identification of material properties at the above mentioned strain rates. Response of finite element models, with extracted material properties, falls within experimental corridors indicating the validation of the methodology adopted.
Detection and identification of unresolved clouds in the measurements from the Infrared Atmospheric Sounding Interferometer ( IASI )

The present cloud detection (CD) and cloud identification (CI) procedures have been developed for processing measurements of the new Infrared Atmospheric Sounding Interferometer (IASI). The CD/CI uses the computational modeling of the global sample of synthetic IASI data in dedicated channels calculated for diverse atmospheric models coupled with consistent cloudy scenes. In this line the auxiliary database named Cloud Data Set (CDS) has been generated using well-known NOAA 88/89 dataset of radiosonde measurements. Testing of the developed procedures as well as verification experiments to estimate achievable cloud discrimination accuracies have been performed using synthetic IASI measurements in dedicated channels subset extracted from season and region-cloudlabeled samples of CDS. Additionally, the experimental validation of developed CD/CI schemes has been carried out using National Aircraft Sounding Testbed-Infrared (NAST-I) measurements available as a result of the CAMEX-3 campaign performance on Bahamas during September 13, 1998 (http://ghrc.nsstc.nasa.gov/camex3/)
Intelligent Streaming Video Data over the Web

Delivering video over the Web has posted a big problem. Video files are extremely big and need hours or even tens of hours to download. The available bandwidth varies dynamically. The conventional proactive buffering approach used by current video players cannot fully satisfy user needs. This paper presents a system designed to allow efficient retrieving, browsing and real-time playing of videos through the Internet using a web browser. The scheme is domain-specific.
Finite-time stabilization of a class of uncertain nonlinear systems with time-delay

For a class of uncertain time-delay nonlinear systems represented by Takagi-Sugeno fuzzy models, the finite-time stabilization problem with exogenous disturbances is discussed. Based on the stochastic Lyapunov-krasovskii functional approach, a new finite-time stabilization condition is established for such fuzzy systems. By applying linear matrix inequality technique, the finite-time state feedback controller is derived. A numerical example is used to illustrate the effectiveness of the design procedure.
The “Let's Get Alarmed!” initiative: a smoke alarm giveaway programme

Objectives—To reduce fires and fire related injuries by increasing the prevalence of functioning smoke alarms in high risk households. Setting—The programme was delivered in an inner London area with above average material deprivation and below average smoke alarm ownership. The target population included low income and rental households and households with elderly persons or young children. Methods—Forty wards, averaging 4000 households each, were randomised to intervention or control status. Free smoke alarms and fire safety information were distributed in intervention wards by community groups and workers as part of routine activities and by paid workers who visited target neighbourhoods. Recipients provided data on household age distribution and housing tenure. Programme costs were documented from a societal perspective. Data are being collected on smoke alarm ownership and function, and on fires and related injuries and their costs. Results—Community and paid workers distributed 20 050 smoke alarms, potentially sufficient to increase smoke alarm ownership by 50% in intervention wards. Compared with the total study population, recipients included greater proportions of low income and rental households and households including children under 5 years or adults aged 65 and older. Total programme costs were £145 087. Conclusions—It is possible to implement a large scale smoke alarm giveaway programme targeted to high risk households in a densely populated, multicultural, materially deprived community. The programme's effects on the prevalence of installed and functioning alarms and the incidence of fires and fire related injuries, and its cost effectiveness, are being evaluated as a randomised controlled trial.
From Data Fusion to Knowledge Fusion

The task of data fusion is to identify the true values of data items (e.g., the true date of birth for Tom Cruise) among multiple observed values drawn from different sources (e.g., Web sites) of varying (and unknown) reliability. A recent survey [20] has provided a detailed comparison of various fusion methods on Deep Web data. In this paper, we study the applicability and limitations of different fusion techniques on a more challenging problem: knowledge fusion. Knowledge fusion identifies true subject-predicate-object triples extracted by multiple information extractors from multiple information sources. These extractors perform the tasks of entity linkage and schema alignment, thus introducing an additional source of noise that is quite different from that traditionally considered in the data fusion literature, which only focuses on factual errors in the original sources. We adapt state-of-the-art data fusion techniques and apply them to a knowledge base with 1.6B unique knowledge triples extracted by 12 extractors from over 1B Web pages, which is three orders of magnitude larger than the data sets used in previous data fusion papers. We show great promise of the data fusion approaches in solving the knowledge fusion problem, and suggest interesting research directions through a detailed error analysis of the methods.
Molecular cloning and characterization of TRPC5 (HTRP5), the human homologue of a mouse brain receptor-activated capacitative Ca2+ entry channel.

A novel human gene, TRPC5, was cloned from the region of Xq23 that contains loci for nonsyndromic mental retardation (MRX47 and MRX35) and two genes, DCX and HPAK3, implicated in two X-linked disorders (LISX and MRX30). Within a single YAC, we have determined the order cen-HPAK3(5'-3')-DCX(3'-5')-DXS7012E-TRPC5(3'-5' )-ter. TRPC5 encodes a 974-residue novel human protein (111.5 kDa predicted mass) and displays 99% homology with mouse TRP5, (MGD-approved symbol Trrp5) a novel member of a family of receptor-activated Ca2+ channels. It contains eight transmembrane domains, including a putative pore region. A transcript larger than 9.5 kb is observed only in fetal and adult human brain, with a relatively higher level in the adult human cerebellum. We devised an efficient method, Incorporation PCR SSCP (IPS), for detection of gene alterations. Five single-nucleotide variations in the TRPC5 gene were identified in males with mental retardation. However, these were found to be polymorphic variants. Exclusive expression of the TRPC5 gene in developing and adult brain suggests a possible role during development and provides a candidate gene for instances of mental retardation and other developmental defects.
A metaheuristic approach for application partitioning in mobile system

Mobile devices such as smartphones are extremely popular now. In spite of their huge popularity, the computational ability of mobile devices is still low. Computational offloading is a way to transfer some of the heavy computational tasks to server(cloud) so that the efficiency and usability of the system increases. In this paper, we have developed a metaheuristic approach for application partitioning to maximize throughput and performance. Preliminary experiment suggest that our approach is better than the traditional all cloud and all mobile approach.