Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Dairy Consumption on Body Composition and Bone Properties in Youth: A Systematic Review

Abstract Background: According to previous reviews, there is no clear evidence on the effects of dairy consumption on body composition and bone properties in pediatric populations. There is a need for further assessment of existing findings and the methodologic quality of studies before summarizing the evidence. Objective: The aim of the study was to assess the quality, methodologies, and substantive findings of randomized controlled trials (RCTs) that examined the effects of dairy consumption on body size, body composition, and bone properties in children and adolescents. Methods: After searching PubMed and Google Scholar up to December 2016, 15 RCTs were retained and included in this systematic review for further analysis. The quality of the included studies was assessed via the Jadad scale; detailed methodologic and statistical characteristics were evaluated, and the main findings were summarized. Results: The effects of dairy consumption were found to be significant for bone structure and nonsignificant for body size and composition. Eight of the 11 RCTs that assessed bone found significant effects (P < 0.05) for bone mineral content and bone mineral density (BMD), with an average 8% increase in BMD after 16 mo of dairy consumption. Conversely, significant effects (P < 0.05) were found only in 2 of the 14 RCTs that focused on body size (i.e., height and weight) and in only 1 of the 11 RCTs that focused on body composition (i.e., lean mass). Conclusions: The systematic consumption of dairy products may benefit bone structure and development, but it does not appear to affect body composition or body size in children and adolescents. On the basis of the Jadad scale, the methodologic quality of the 15 RCTs was rated as good overall. However, there were methodologic disparities and limitations that may have led to nonsignificant results, particularly for body size and composition. Future RCTs designed to address these limitations are warranted.
The ATM Inhibitor KU-55933 Suppresses Cell Proliferation and Induces Apoptosis by Blocking Akt In Cancer Cells with Overactivated Akt

Aberrant activation of Akt plays a pivotal role in cancer development. ATM, a protein deficient in patients with ataxia-telangiectasia disease, is traditionally considered as a nuclear protein kinase that functions as a signal transducer in response to DNA damage. It has recently been shown that ATM is also a cytoplasmic protein that mediates the full activation of Akt in response to insulin. Our study shows that a specific ATM inhibitor, KU-55933, blocks the phosphorylation of Akt induced by insulin and insulin-like growth factor I in cancer cells that exhibit abnormal Akt activity. Moreover, KU-55933 inhibits cancer cell proliferation by inducing G1 cell cycle arrest. It does so through the downregulation of the synthesis of cyclin D1, a protein known to be elevated in a variety of tumors. In addition, KU-55933 treatment during serum starvation triggers apoptosis in these cancer cells. Our results suggest that KU-55933 may be a novel chemotherapeutic agent targeting cancer resistant to traditional chemotherapy or immunotherapy due to aberrant activation of Akt. Furthermore, KU-55933 completely abrogates rapamycin-induced feedback activation of Akt. Combination of KU-55933 and rapamycin not only induces apoptosis, which is not seen in cancer cells treated only with rapamycin, but also shows better efficacy in inhibiting cancer cell proliferation than each drug alone. Therefore, combining KU-55933 with rapamycin may provide a highly effective approach for improving mammalian target of rapamycin–targeted anticancer therapy that is currently hindered by rapamycin-induced feedback activation of Akt. Mol Cancer Ther; 9(1); 113–25
Dynamical modeling of the stellar nucleus of M 31

We present stellar dynamical models of the lopsided, double{peaked nucleus of M 31, derived from Hubble Space Telescope (HST) photometry. A Schwarzschild{type method, in conjunction with Richardson{Lucy deconvolution, was employed to construct steadily rotating, hot, stellar disks. The stars orbit a massive dark object, on prograde and retrograde quasi{periodic loop orbits. Our results support Tremaine's eccentric disk model, extended to include a more massive disk, non zero pattern speed (), and dierent viewing angle. Most of the disk mass populated prograde orbits, with'3.4% on retrograde orbits. The best ts to photometric and kinematic maps were disks with' 16 km s 1 pc 1 . We speculate on the origins of the lopsidedness, invoking recent work on the linear overstability of nearly Keplerian disks, that possess even a small amount of a counter { rotating component. Accretion of material { no more massive than a globular cluster { onto a preexisting stellar disk, will account for the mass in our retrograde orbits, and could have stimulated the lopsidedness seen in the nucleus of M 31.
Histomorphometric analysis of the epiphyseal growth plate in rats after prenatal alcohol exposure

We studied the effect of prenatal alcohol exposure on growth in the proximal tibial growth plate in 0‐ and 15‐day‐old rats, using histomorphometric methods. Body weight and tibial length were reduced in all alcohol‐exposed rats. In 15‐day‐old rats, these parameters were lower than in the 15‐day‐old controls, thus showing a persistence of the effects of ethanol. The proximal tibial growth plate showed alterations, principally in 15‐day‐old rats. The most notable of these was a decrease in growth plate height produced by a significant reduction in hypertrophic zone height. Likewise, there were fewer cells in this zone in alcohol‐exposed rats than in controls. This work shows that prenatal ethanol exposure induces growth retardation which may be due to growth plate alterations that might reflect impaired cell function.
Environment and Usage Monitoringof Electronic Products for Health Assessment and Product Design

Abstract The life-cycle environmental and usage conditions of a product or system can be monitored and analyzed to assess its on-going health, provide advance warning of failure, and provide information to improve the design and qualification of fielded and future products. The challenge lies in the implementation of this method in application conditions. This paper presents methods to effectively collect and analyze life-cycle environmental and usage data for in-situ health assessments. An integrated hardware-software micro-programmable module for health and usage monitoring of electronic products in their application environment is presented. The hardware incorporates local sensors, and on-board processing power using embedded software. These data processing capabilities are intended to enable immediate and localized processing of the raw sensor data to reduce the power and memory consumption anticipated during load monitoring. Guidelines are also provided to develop a life cycle monitoring plan, that encompasses the selection of environmental and usage parameters. A case study is presented to illustrate the methodology.
Sidelobe reduction using wavelet neural network for binary coded pulse compression

Pulse compression technique is a popular technique used for improving waveform in radar systems. Series of undesirable sidelobes usually accompany the technique that may mask small targets or create false targets. This paper proposed a new approach for pulse compression using Feed-forward Wavelet Neural Network (WNN) with one input layer, one output layer and one hidden layer that consists of three neurons. Networks of 13-bit Barker code and 69-bit Barker code were used for the implementation. WNN-based back-propagation (BP) learning algorithm was used in training the networks. These networks used Morlet and sigmoid activation functions in hidden and output layer respectively. The simulation results from the proposed method shows better performance in sidelobe reduction where more than 100 dB output peak sidelobe level (PSL) is achieved, compared to autocorrelation function (ACF). Furthermore, the results show that WNN approach has significant improvement in noise reduction performance and Doppler shift performance compared to Recurrent Neural Network (RNN) and Multi-Layer Perceptron (MLP).
Deletion of a Novel F-Box Protein, MUS-10, in Neurospora crassa Leads to Altered Mitochondrial Morphology, Instability of mtDNA and Senescence

While mitochondria are renowned for their role in energy production, they also perform several other integral functions within the cell. Thus, it is not surprising that mitochondrial dysfunction can negatively impact cell viability. Although mitochondria have received an increasing amount of attention in recent years, there is still relatively little information about how proper maintenance of mitochondria and its genomes is achieved. The Neurospora crassa mus-10 mutant was first identified through its increased sensitivity to methyl methanesulfonate (MMS) and was thus believed to be defective in some aspect of DNA repair. Here, we report that mus-10 harbors fragmented mitochondria and that it accumulates deletions in its mitochondrial DNA (mtDNA), suggesting that the mus-10 gene product is involved in mitochondrial maintenance. Interestingly, mus-10 begins to senesce shortly after deletions are visualized in its mtDNA. To uncover the function of MUS-10, we used a gene rescue approach to clone the mus-10 gene and discovered that it encodes a novel F-box protein. We show that MUS-10 interacts with a core component of the Skp, Cullin, F-box containing (SCF) complex, SCON-3, and that its F-box domain is essential for its function in vivo. Thus, we provide evidence that MUS-10 is part of an E3 ubiquitin ligase complex involved in maintaining the integrity of mitochondria and may function to prevent cellular senescence.
xDAWN Algorithm to Enhance Evoked Potentials: Application to Brain–Computer Interface

A brain-computer interface (BCI) is a communication system that allows to control a computer or any other device thanks to the brain activity. The BCI described in this paper is based on the P300 speller BCI paradigm introduced by Farwell and Donchin. An unsupervised algorithm is proposed to enhance P300 evoked potentials by estimating spatial filters; the raw EEG signals are then projected into the estimated signal subspace. Data recorded on three subjects were used to evaluate the proposed method. The results, which are presented using a Bayesian linear discriminant analysis classifier, show that the proposed method is efficient and accurate.
Orthogonal query recommendation

One important challenge of current search engines is to satisfy the users' needs when they provide a poorly formulated query. When the pages matching the user's original keywords are judged to be unsatisfactory, query recommendation techniques are used to propose alternative queries and alter the result set. These techniques search for queries that are semantically similar to the user's original query, often searching for keywords that are similar to the keywords given by the user. However, when the original query is sufficiently ill-posed, the user's informational need is best met using entirely different keywords, and a substantially different query may be necessary. We propose a novel approach that is not based on the keywords of the original query. We intentionally seek out orthogonal queries, which are related queries that have (almost) no common terms with the user's query. This allows an orthogonal query to satisfy the user's informational need when small perturbations of the original keyword set are insufficient. By using this technique to generate query recommendations, we outperform several known approaches, being the best for long tail queries.
PAC-BAYESIAN COMPRESSION APPROACH

Modern neural networks are highly overparameterized, with capacity to substantially overfit to training data. Nevertheless, these networks often generalize well in practice. It has also been observed that trained networks can often be “compressed” to much smaller representations. The purpose of this paper is to connect these two empirical observations. Our main technical result is a generalization bound for compressed networks based on the compressed size that, combined with off-theshelf compression algorithms, leads to state-of-the-art generalization guarantees. In particular, we provide the first non-vacuous generalization guarantees for realistic architectures applied to the ImageNet classification problem. Additionally, we show that compressibility of models that tend to overfit is limited. Empirical results show that an increase in overfitting increases the number of bits required to describe a trained network.
Topology in chemistry: designing Möbius molecules.

In 1747, Johann Sebastian Bach wrote a series of canons and fugues on the occasion of his visit to King Frederick the Great of Prussia in Potsdam. His music of homage, the “Musikalisches Opfer” (Musical Offering, BWV1079), includes a canon that is probably one of the oldest man-made examples of an object with Mobius topology.1 The canon cancricans (crab canon) is written for two violins playing the same score in two different directions. If you cut the score, paste it in such way that it forms a band with the notes of the first violin on top and those of the second violin below, fold it lengthwise between the two notes, give one end a half twist, and join both ends, you end up with a endless Mobius-shaped score (Figure 1). After every turn the two violins change their parts. Karl Amadeus Hartmann, Nicolas Slonimsky,2 and others several centuries later wrote further examples of Mobius music. Note that there are two different ways to form the Mobius score, by twisting the strip either clockwise or anticlockwise. The two Mobius strips are enantiomers (the music, unfortunately, is not) and exhibit the highest symmetry a Mobius object can attain: C2. More than 100 years later, August Ferdinand Mobius and Johann Benedict Listing (Figure 2), both students of Carl Friedrich Gauss in Gottingen, published their seminal work on projective planes and one-sided surfaces. Nowadays, the credit goes almost exclusively to Mobius3 after whom the famous band is named, even though Listing published 4 years earlier.4 Both mathematicians mentioned the “Mobius” band in unpublished papers for the first time in 1858; however, again Listing’s unpublished note (July) predates the one of Mobius (September) by 2 months. It would probably be fair to name the one-sided band a “Listing band”. There are good reasons to assume that Listing was not adequately credited because of social rather than scientific reasons.5 Most of the objects we are dealing with in our everyday lives are two-sided. They have an inside and an outside surface like a sphere, a cube, or a torus. This is also true for most two-dimensional mathematical objects. According to the mathematical definition, a normal vector on the surface of a two-sided object cannot be shifted to any other point on the surface without crossing a border or interpreted in anthropomorphic terms: walking upright on the outside surface you cannot enter the inside and vice versa. The Mobius band is probably the simplest and best-known exception (Figure 3). Any closed band with an odd number of 180° twists is one-sided, and those with an even number of 180° twists are two-sided. Unfortunately, the sidedness is not an intrinsic property, because it requires that the surface is embedded in a † In memory of Professor Edgar Heilbronner. * To whom correspondence should be addressed. Telephone: ++49 431 88
Detection and Processing of bistatically reflected GPS signals from low Earth orbit for the purpose of ocean remote sensing

We will show that ocean-reflected signals from the global positioning system (GPS) navigation satellite constellation can be detected from a low-earth orbiting satellite and that these signals show rough correlation with independent measurements of the sea winds. We will present waveforms of ocean-reflected GPS signals that have been detected using the experiment onboard the United Kingdom's Disaster Monitoring Constellation satellite and describe the processing methods used to obtain their delay and Doppler power distributions. The GPS bistatic radar experiment has made several raw data collections, and reflected GPS signals have been found on all attempts. The down linked data from an experiment has undergone extensive processing, and ocean-scattered signals have been mapped across a wide range of delay and Doppler space revealing characteristics which are known to be related to geophysical parameters such as surface roughness and wind speed. Here we will discuss the effects of integration time, reflection incidence angle and examine several delay-Doppler signal maps. The signals detected have been found to be in general agreement with an existing model (based on geometric optics) and with limited independent measurements of sea winds; a brief comparison is presented here. These results demonstrate that the concept of using bistatically reflected global navigation satellite systems signals from low earth orbit is a viable means of ocean remote sensing.
Single particle detection for spectroscopic CT and tracking in hadron therapy using Medipix chips

each protocol to detect these deviations from the treatment plan is investigated by comparing the planned and the modified PET image. Several analysis methods are used: line profiles coupled to the field-directions, structural similarity index analysis [1], and gamma index analysis. [2] Preliminary data shows that a difference in density is best detected by starting the scan directly after the first field. However, shifts perpendicular to the field directions are better detected when the scan is done after the last field, due to the increased activity and counting-rate.
Colonization of Arabidopsis thaliana with Salmonella enterica and Enterohemorrhagic Escherichia coli O157:H7 and Competition by Enterobacter asburiae

ABSTRACT Enteric pathogens, such as Salmonella enterica and Escherichia coli O157:H7, have been shown to contaminate fresh produce. Under appropriate conditions, these bacteria will grow on and invade the plant tissue. We have developed Arabidopsis thaliana (thale cress) as a model system with the intention of studying plant responses to human pathogens. Under sterile conditions and at 100% humidity, S. enterica serovar Newport and E. coli O157:H7 grew to 109 CFU g−1 on A. thaliana roots and to 2 × 107 CFU g−1 on shoots. Furthermore, root inoculation led to contamination of the entire plant, indicating that the pathogens are capable of moving on or within the plant in the absence of competition. Inoculation with green fluorescent protein-labeled S. enterica and E. coli O157:H7 showed invasion of the roots at lateral root junctions. Movement was eliminated and invasion decreased when nonmotile mutants of S. enterica were used. Survival of S. enterica serovar Newport and E. coli O157:H7 on soil-grown plants declined as the plants matured, but both pathogens were detectable for at least 21 days. Survival of the pathogen was reduced in unautoclaved soil and amended soil, suggesting competition from indigenous epiphytes from the soil. Enterobacter asburiae was isolated from soil-grown A. thaliana and shown to be effective at suppressing epiphytic growth of both pathogens under gnotobiotic conditions. Seed and chaff harvested from contaminated plants were occasionally contaminated. The rate of recovery of S. enterica and E. coli O157:H7 from seed varied from undetectable to 19% of the seed pools tested, depending on the method of inoculation. Seed contamination by these pathogens was undetectable in the presence of the competitor, Enterobacter asburiae. Sampling of 74 pools of chaff indicated a strong correlation between contamination of the chaff and seed (P = 0.025). This suggested that contamination of the seed occurred directly from contaminated chaff or by invasion of the flower or silique. However, contaminated seeds were not sanitized by extensive washing and chlorine treatment, indicating that some of the bacteria reside in a protected niche on the seed surface or under the seed coat.
Comparative Analysis of Surface Power System Architectures for Human Mars Exploration

This thesis provides a comprehensive analysis of surface power generation and energy storage architectures for human Mars surface missions, including tracking and non-tracking photovoltaic power generation, nuclear fission power, dynamic radioisotope power generation, and battery and regenerative fuel cell energy storage. The quantitative analysis is carried out on the basis of equal energy provision to the power system user over one Martian day (including day and night periods); this means that the total amount of energy available to the user will be the same in all cases, but the power profile over the course of the day may be different from concept to concept. The analysis results indicate that solar power systems based on non-tracking, thin-film roll-out arrays with either batteries or regenerative fuel cells for energy storage achieve comparable levels of performance as systems based on nuclear fission power across the entire range of average power levels investigated (up to 200 kW). For solar power systems, deployment and dust mitigation methods were also considered. Possible areas of commonality between Mars surface power systems and more near term lunar surface power systems were investigated. Given the significant policy and sustainability advantages of solar power compared to nuclear fission power, as well as the significant development and performance increase for thin-film photovoltaic arrays and energy storage technologies that is anticipated over the coming decades, solar power as the primary source for human Mars surface power generation should be seriously considered as alternative to traditional nuclear fission based approaches. Thesis Supervisor: Jeffrey A. Hoffman Title: Professor of Astronautics
Analysis of the quality of hospital information systems in Isfahan teaching hospitals based on the DeLone and McLean model

Background: Quality is one of the most important criteria for the success of an information system, which refers to its desirable features of the processing system itself. The aim of this study was the analysis of system quality of hospital information systems (HIS) in teaching hospitals of Isfahan based on the DeLone and McLean model. Materials and Methods: This research was an applied and analytical-descriptive study. It was performed in teaching hospitals of Isfahan in 2010. The research population consisted of the HIS's users, system designers and hospital information technology (IT) authorities who were selected by random sampling method from users’ group (n = 228), and system designers and IT authorities (n = 52) using census method. The data collection tool was two researcher-designed questionnaires. Questionnaires’ reliability was estimated by using Cronbach's alpha was calculated. It was 97.1% for the system designers and IT authorities’ questionnaire and 92.3% for system users’ questionnaire. Results: Findings showed that the mean of system quality score in a variety of HIS and among different hospitals was significantly different and not the same (P value ≥ 0.05). In general, Kosar (new version) system and Rahavard Rayaneh system have dedicated the highest and the lowest mean scores to themselves. The system quality criterion overall mean was 59.6% for different HIS and 57.5% among different hospitals respectively. Conclusion: According to the results of the research, it can be stated that based on the applied model, the investigated systems were relatively desirable in terms of quality. Thus, in order to achieve a good optimal condition, it is necessary to pay particular attention to the improving factors of system quality, type of activity, type of specialty and hospital ownership type.