Miracle-dz/UniFAR-FTUs huggingface dataset:
Cabazitaxel-Induced Stabilization of Microtubules Enhances Radiosensitivity in Ovarian Cancer Cells

Background: Up to 40% of women with ovarian cancer have short disease-free intervals due to molecular mechanisms of chemotherapy resistance. New therapeutic strategies are sought. Ovarian cancers are sensitive to radiochemotherapy. The taxane cabazitaxel (XRP6258, Jevtana) promotes tubulin assembly and stabilizes microtubules against depolymerization in cells, acting similarly in mechanism to paclitaxel. Here, sequences of cabazitaxel-radiation co-administration are tested for drug-alone cytotoxicity and optimal radiosensitization. Materials and Methods: SKOV3, OVCAR3, and TOV-112D ovarian cancer cells were administered cabazitaxel 24 h before (first), 18 h before (second), together (third), or 24 h after (fourth) a single radiation dose, and then, investigated by clonogenic assay and flow cytometric assays. Radiation dose-cell survival data were fitted by two-stage multivariate analyses of variance. High-content flow cytometry partitioned cabazitaxel effects into G2-phase versus M-phase events by DNA content, cyclin A2, and phospho-S10-histone H3 (PHH3). Paclitaxel served as a comparator. Findings: Cabazitaxel cytotoxicity and radiosensitization were dose dependent. Cabazitaxel added 24 h before radiation was the most lethal schedule. DNA content measurements by flow cytometry showed that cabazitaxel-treated cells accumulated in the radiosensitive G2/M 4C DNA complement compartment. Cytometry also showed that surviving cabazitaxel-induced cell cycle arrested cells resolve the arrest by entering 4C or by 8C DNA complement cell cycles. Interpretation: The radiosensitizing effect of cabazitaxel was schedule dependent, due to cell cycle redistribution, and best when cabazitaxel was given 24 h before radiation. Clinical trials of administering both cabazitaxel and radiation should be explored in women with chemoresistant ovarian cancer.
The Expression of microRNA and microRNA Clusters in the Aging Heart

Background The microRNAs have been implicated in the process of cardiac development, cardiac hypertrophy, and heart failure. However, the impact of adult aging on cardiac expression of miRNA clusters, as well as both miRNA guide (miR) and passenger (miR*) strands has not been well established. Methods/Results We explored the expression profile of both miR and miR* in the hearts of young adult versus old mice. We found that 65 miRNAs were differentially expressed in the old versus young adult hearts; approximately half of them were clustered miRNAs that were distributed in 11 miRNA clusters. Each miRNA cluster contained from 2 to as many as 71 miRNA genes. The majority of the clusters displayed similar expression, with most cluster members within a cluster being either increased or decreased together, suggesting that most clusters are likely to be regulated by a common signaling mechanism and that the combined expression of multiple miRNA genes in a cluster could pose an impact on a broad range of targets during aging. We also found age-related changes in the expression of miR*s. The expression of both miR and miR* correlated with that of pri-miRNA transcript over the time course from development and maturation through adult aging. Age-related changes in the expression of Ago1 and Ago2 proteins in the heart were also observed. Transfection assay revealed that both Ago1 and Ago2 synergistically induced miR-21 and miR-21* when the mir-21 plasmid was co-transfected with either. Conclusion The data revealed age-related changes in the expression of pri-miRNA transcript, Argonaut proteins and both miR and miR* strands. The major changes occurred later in life, from middle to old age. It is likely that the expression of miR and miR* is regulated by both pri-miRNA transcription as well as Ago1 and Ago2 proteins during adult aging.
A Heuristic Operation Strategy for Commercial Building Microgrids Containing EVs and PV System

Commercial building microgrids will play an important role in the smart energy city. Stochastic and uncoordinated electric vehicle (EV) charging activities, which may cause performance degradations and overloads, have put great stress on the distribution system. In order to improve the self-consumption of PV energy and reduce the impact on the power grid, a heuristic operation strategy for commercial building microgrids is proposed. The strategy is composed of three parts: the model of EV feasible charging region, the mechanism of dynamical event triggering, and the algorithm of real-time power allocation for EVs. Furthermore, in order to lower the cost of computation resource, the strategy is designed to operate without forecasting on photovoltaic output or EV charging demand. A comprehensive result obtained from simulation tests has shown that the proposed strategy has both satisfactory results and high efficiency, which can be utilized in embedded systems for real-time allocation of EV charging rate.
Estimating the burden of disease. Comparing administrative data and self-reports.

OBJECTIVES A cardiovascular health survey of a representative sample of the adult population of Manitoba, Canada was combined with the provincial health insurance claims database to determine the accuracy of survey questions in detecting cases of diabetes, hypertension, ischemic heart disease, stroke, and hypercholesterolemia. METHODS Of 2,792 subjects in the survey, 97.7% were linked successfully using a scrambled personal health insurance number. Hospital and physician claims were extracted for these individuals for the 3-year period before the survey. RESULTS The authors found no benefits to using restrictive criteria for entrance into the study (ie, requiring more than one diagnosis to define a case). Using additional years of data increased agreement between data sources. Kappa values indicated high levels of agreement between administrative data and self-reports for diabetes (0.72) and hypertension (0.59); kappa values were approximately 0.4 for the other conditions. Using administrative data as the "gold standard," specificity was generally very high, although cases with hypertension and hypercholesterolemia (diagnosed primarily by laboratory or physical measurement) were associated with a lower specificity than the other conditions. Sensitivity varied markedly and was lowest for "other heart disease" and "stroke". For diabetes and hypertension, inclusion criteria calling for more than one diagnosis reduced the accuracy of case identification, whereas increasing the number of years of data increased accuracy of identification. For diabetes and hypertension, self-reports were fairly accurate in detecting "true" past history of the illness based on physician diagnosis recorded on insurance claims. CONCLUSIONS This study demonstrates the feasibility of linking a large health survey with administrative data and the validity of self-reports in estimating the prevalence of chronic diseases, especially diabetes and hypertension. A linked data set offers unusual opportunities for epidemiologic and health services research in a defined population.
Mobile Computing and Databases - A Survey

The emergence of powerful portable computers, along with advances in wireless communication technologies, has made mobile computing a reality. Among the applications that are finding their way to the market of mobile computing-those that involve data management-hold a prominent position. In the past few years, there has been a tremendous surge of research in the area of data management in mobile computing. This research has produced interesting results in areas such as data dissemination over limited bandwidth channels, location-dependent querying of data, and advanced interfaces for mobile computers. This paper is an effort to survey these techniques and to classify this research in a few broad areas.
Automatic alignment of high-resolution multi-projector displays using an uncalibrated camera

A scalable, high-resolution display may be constructed by tiling many projected images over a single display surface. One fundamental challenge for such a display is to avoid visible seams due to misalignment among the projectors. Traditional methods for avoiding seams involve sophisticated mechanical devices and expensive CRT projectors, coupled with extensive human effort for fine-tuning the projectors. The paper describes an automatic alignment method that relies on an inexpensive, uncalibrated camera to measure the relative mismatches between neighboring projectors, and then correct the projected imagery to avoid seams without significant human effort.
Triangular Self-Convolution Window With Desirable Sidelobe Behaviors for Harmonic Analysis of Power System

Weak harmonic components can easily be obscured by nearby strong harmonics due to the spectral leakage in the power system. To obtain a window suitable for solving the problem, the triangular self-convolution window (TSCW) is constructed, with the triangular window being the parent window to take advantages of its narrow major lobe and simple computation. A TSCW-based phase difference correction algorithm for calculating the power system signal parameters, such as frequency, phase, and amplitude, is presented in this paper. The TSCW has a low peak sidelobe level, a high sidelobe rolloff rate, and a simple spectral representation. Leakage errors and harmonic interferences are thus considerably reduced by weighting samples with the TSCW. The TSCW-based phase difference correction algorithm is free of solving high-order equations, and the overall method can easily be implemented in embedded systems. The effectiveness of the method proposed was analyzed by means of computer simulations and practical experiments for multifrequency signals without noise and with quantization noise.
Analysis of mobile malware based on user awareness

The number of mobile device malware has been increasing drastically last several years. When attempting to detect malware within a device, it is difficult to draw a clear line between malicious and normal activities. Even useful applications naturally result in data transfer from a mobile device to a remote server and a malware detection mechanism based solely on information flow might consider this as data leakage. Therefore one should also consider the surrounding context of an application to make a better decision on whether it is malicious or not. In this current research, a dynamic analysis approach is taken which monitors and measures the runtime behavior and logs from the mobile application. In particular, a concept of user awareness (UA) is proposed which represents a degree of intent with which an application tries to hide its activities from a user. This extended analysis measurement, combined with dataflow-based analysis, will help make a more accurate decision with less false positives.
Electrospun plant-derived natural biomaterials for Tissue engineering

Plant-derived natural products are being used in medicine, and they are easily available for the production and use in tissue engineering based biological applications. Utilization of plant materials to treat human diseases is a common practice followed over many decades. In fact plant and its derivatives have been actively included in health management over thousands of years. The advent of phytochemical and phytopharmacological sciences has opened an arena to elucidate the structural and biological composition of several medicinal plant products. Their pharmacological effects depend on the supply of highly active water soluble compounds; however, due to their large molecular size most compounds are unable to cross the lipid membranes of the cells and therefore result in poor absorption resulting in loss of bioavailability and efficacy. Electrospinning makes it possible to combine the advantages of utilizing these plant materials in the form of nanofibrous scaffolds for delivering the active constituent at a sufficient concentration during the entire treatment period to the host site. The aim of this review is to highlight the potential applications of electrospun nanofibrous scaffolds based systems and herbal medicines in tissue engineering.
Morbidity and Mortality Weekly Report Traumatic Brain Injury-related Hospital Discharges Results from a 14-state Surveillance System, 1997 Centers for Disease Control and Prevention Epidemiology Program Office Division of Public Health Surveillance and Informatics Lead Technical Writer/editor Vol. 5

depar depar depar depar department of health and human ser tment of health and human ser tment of health and human ser tment of health and human ser tment of health and human services vices vices vices vices Introduction Approximately 1.5 million Americans sustain a traumatic brain injury (TBI) each year (1). According to a recent estimate , of those injured, approximately one quarter million are hospitalized and survive (1), which is more than 20 times the number of hospitalizations each year for spinal cord injury (2), another key disabling injury. Unlike spinal cord injury, however, TBI is frequently referred to as the silent epidemic (3) because the problems that result from TBI (e.g., impaired memory) often are not visible. One year after discharge, approximately one third of adults hospitalized with TBI still need help from another person to perform daily activities (4). Estimated lifetime costs of TBI in the United States totaled approximately $56.3 billion in 1995 (5). In 1989, a task force convened by the U.S. Department of Health and Human Services recommended the establishment of TBI as a category in public health reporting systems (6). In response, CDC published Guidelines for Surveillance of Central Nervous System (CNS) Injury (7) and funded four states to Abstract Problem/Condition: Previous studies indicate that each year in the United States, approximately 1.5 million Ameri-cans sustain a traumatic brain injury (TBI). Of those injured, approximately one quarter million are hospitalized. Approximately one third of adults hospitalized with TBI still need help with daily activities 1 year after their discharge. Description of the System: Data are from 14 states that participated in an ongoing CDC-funded TBI surveillance system. State health departments used CDC guidelines to identify TBI cases from hospital discharge data or from other statewide injury data systems. Supplementary information was abstracted from medical records. Results: The overall age-adjusted TBI-related live hospital discharge rate was 69.7/100,000 population. Rates were highest for American Indians and Alaska Natives (75.3/100,000) and Blacks (74.4/100,000). The age-adjusted rate for males was approximately twice as high as for females (91.9 versus 47.7/100,000 respectively). For both sexes, the rates were highest among those aged 15–19 years and >65 years. Motor-vehicle crashes, falls, and assaults were the leading causes of injury for TBI-related discharges (27.9, 22.5, and 7.3/100,000 respectively). TBI-related discharge rates for falls were highest among those aged >65 years (82.3/100,000). Black males and American Indian/Alaska Native males had …
Metal hydride formation at pressures up to 1 Mbar

A simple mean-field lattice gas model is used to predict the hydride formation properties of Cr, Mn, Fe, Co, Ni, Mo, Ru, Rh, Ir, W, Pt, Cu, Ag and Au, which at low hydrogen pressures absorb only small amounts of hydrogen. It is shown that with thermodynamic parameters determined from low-pressure data only (the molar standard heat of formation Delta Hx0 and the Einstein temperature Theta E of the interstitial hydrogen vibration) it is also possible to describe their high-pressure behaviour. As a result, the pressure-composition isotherms of these 14 metals are given for several temperatures and for pressures up to 1 Mbar. Where possible, comparison is made with experimental data
Hepatitis E Virus Antibodies in Blood Donors, France

Using a validated sensitive assay, we found hepatitis E virus (HEV) IgG in 52.5% of voluntary blood donors in southwestern France. This finding suggests HEV is highly endemic to this region. The high HEV prevalence may reflect local dietary practices, such as eating uncooked pork and game products.
Modular networks involving the medial frontal cortex: Towards the development of neuropsychiatry

Abstract Objectives. The pathophysiology of mental disorders is largely unresolved. We propose that the identification of abnormalities in brain modular networks will provide a promising approach for the understanding of mental disorders. Methods. We review the current discussion on the neuroscientific basis of psychiatric diseases and review recent studies in functional neuroimaging and systems physiology on mental functions of the human brain. Results. We propose that brain functional units are organized in modular networks. Modular networks allow for flexibility within the modular processing units and across interconnected modules affording optimization of task performance and deficit compensation in disease. As an example it will be shown that differentiated modules in medial frontal cortex play a critical role for the control of behaviour. This will be contrasted to recent studies in neurological and psychiatric patients revealing behavioural abnormalities due to lesions or reversibly deprived functions in the medial frontal cortex. Conclusions. These findings are conceptualized as starting points for a neuroscience based diagnosis and treatment of brain diseases at the border of psychiatry and neurology.
Cdk5 Nuclear Localization Is p27-dependent in Nerve Cells

Initiation of a cell cycle in an adult neuron leads to cell death, placing great importance on the mechanisms that normally suppress the neuronal cell cycle. We have previously shown that the cyclin-dependent kinase Cdk5 is an important part of this process, but only when it is present in the nucleus. We report here that Cdk5 nuclear localization relies on its binding to the cyclin-dependent kinase inhibitor p27. Cdk5 has no intrinsic nuclear localization signal; in the absence of p27, two weak nuclear export signals that bind CRM1 cause it to shuttle to the cytoplasm. When a neuron is subjected to stress, such as exposure to β-amyloid, the Cdk5-p27 interaction is lost, reducing Cdk5 levels in the nucleus and depriving the neuron of a major cell cycle suppression mechanism. Caspase-3 is activated within hours, but death is not immediate; elevated levels of cytoplasmic Cdk5 appear to retard neuronal death by a mechanism that may involve Bcl2. These data suggest a model in which Cdk5 exerts a double protective function in neurons: chronically suppressing the cell cycle when located in the nucleus and transiently delaying cell death in the cytoplasm.
SENSITIVITY OF THE CONCUSSION ASSESSMENT BATTERY

OBJECTIVESports medicine clinicians commonly use multiple tests when evaluating patients with concussion. The specific tests vary but often include symptom inventories, posturography, and neurocognitive examinations. The sensitivity of these tests to concussion is vital in reducing the risk for additional injury by prematurely returning an athlete to play. Our study investigated the sensitivity of concussion-related symptoms, a postural control evaluation, and neurocognitive functioning in concussed collegiate athletes. METHODSFrom 1998 to 2005, all high-risk athletes completed a baseline concussion-assessment battery that consisted of a self-reported symptom inventory, a postural control evaluation, and a neurocognitive assessment. Postconcussion assessments were administered within 24 hours of injury to 75 athletes who had physician-diagnosed concussion. Individual tests and the complete battery were evaluated for sensitivity to concussion. RESULTSThe computerized Immediate Post-Concussion Assessment and Cognitive Testing and HeadMinder Concussion Resolution Index (neurocognitive tests) were the most sensitive to concussion (79.2 and 78.6%, respectively). These tests were followed by self-reported symptoms (68.0%), the postural control evaluation (61.9%), and a brief pencil-and-paper assessment of neurocognitive function (43.5%). When the complete battery was assessed, sensitivity exceeded 90%. CONCLUSIONCurrently recommended concussion-assessment batteries accurately identified decrements in one or more areas in most of the athletes with concussion. These findings support previous recommendations that sports-related concussion should be approached through a multifaceted assessment with components focusing on distinct aspects of the athlete's function.
Globally Adaptive Load-Balanced Routing on kary n-cubes

We introduce a new method of adaptive routing on k-ary ncubes that we refer to as Globally Adaptive Load-balance (GAL). Unlike previous adaptive routing algorithms that make routing decisions based on local information (typically channel queue depth), GAL senses congestion globally using segmented injection queues to decide the directions to route in each dimension. It further load balances the network by routing in the selected directions adaptively. The use of global information enables GAL to achieve the performance (latency and throughput) of minimal adaptive routing on benign traffic patterns while performing as well as the best obliviously load-balanced routing algorithms (Valiant or GOAL) on adversarial traffic. We compare GAL to four other previously published routing algorithms on six figures of merit throughput on benign, adversarial and Hot-Spot traffic; average throughput of a sample of 1000 random permutations; latency at low injection load and stability post saturation. GAL is the only algorithm that has top performance in each category.
Dietary Digital Diaries

Obesogenic environments promote excessive caloric and fat intake. A total of 23 low-income, African American adolescents digitally photographed their lunchtime food environment at a school buffet during summer camp. Depicted food was coded for nutritional content on the platescape (own plate or others’ plates) and the tablescape (open buffet). Students digitally depicted high-caloric and high-fat content, particularly students who had higher baseline waist-to-hip ratio. Students who included higher caloric and fat content in their digital diaries gained more weight over the 4-week program than those who did not. Digital photography connects adolescents’ perceived food environment with weight gain, revealing the environmental cues that promote excessive caloric and fat intake. Digital photography can also identify adolescents with problematic eating behaviors that increase risk for obesity.
Crystallography and crystal defects

PERFECT CRYSTALS. Lattice Geometry. The Stereographic Projection and Point Groups. Crystal Structures. Tensors. IMPERFECT CRYSTALS. Strain, Stress and Elasticity. Glide. Dislocations. Dislocations in Crystals. Point Defects. Twinning. Martensitic Transformations. Crystal Interfaces. Appendices. Answers to Problems. Subject Index.
Fitness-proportional negative slope coefficient as a hardness measure for genetic algorithms

The Negative Slope Coefficient (nsc) is an empirical measure of problem hardness based on the analysis of offspring-fitness vs. parent-fitness scatterplots. The nsc has been tested empirically on a large variety problems showing considerable reliability in distinguishing easy from hard problems. However, neither a theoretical justification nor a theoretical analysis of the nsc have ever been given. This paper presents a modification of nsc, the fitness-proportional negative slope coefficient (fpncs), for which it is possible to give a theoretical explanation and analysis. To illustrate the approach we compute fpnsc theoretically for the class of invertible functions of unitation, and for two mutation operators. We apply the theory to compute fpnsc for three benchmark functions: Onemax, Trap and Onemix. We then compare the predictions of fpnsc with the success probability recorded in actual runs. The results suggest that fpnsc is able to broadly discriminate between easy and hard GA problems.