Miracle-dz/UniFAR-FTUs huggingface dataset:
Regulation of Phospholipid Synthesis in Saccharomyces cerevisiae by Zinc*

Zinc is an essential nutrient required for the growth and metabolism of eukaryotic cells. In this work, we examined the effects of zinc depletion on the regulation of phospholipid synthesis in the yeast Saccharomyces cerevisiae. Zinc depletion resulted in a decrease in the activity levels of the CDP-diacylglycerol pathway enzymes phosphatidylserine synthase, phosphatidylserine decarboxylase, phosphatidylethanolamine methyltransferase, and phospholipid methyltransferase. In contrast, the activity of phosphatidylinositol synthase was elevated in response to zinc depletion. The level of Aut7p, a marker for the induction of autophagy, was also elevated in zinc-depleted cells. For the CHO1-encoded phosphatidylserine synthase, the reduction in activity in response to zinc depletion was controlled at the level of transcription. This regulation was mediated through the UASINO element and by the transcription factors Ino2p, Ino4p, and Opi1p that are responsible for the inositol-mediated regulation of UASINO-containing genes involved in phospholipid synthesis. Analysis of the cellular composition of the major membrane phospholipids showed that zinc depletion resulted in a 66% decrease in phosphatidylethanolamine and a 29% increase in phosphatidylinositol. A zrt1Δ zrt2Δ mutant (defective in the plasma membrane zinc transporters Zrt1p and Zrt2p) grown in the presence of zinc exhibited a phospholipid composition similar to that of wild type cells depleted for zinc. These results indicated that a decrease in the cytoplasmic levels of zinc was responsible for the alterations in phospholipid composition.
A comparison of mechanisms for improving TCP performance over wireless links

Reliable transport protocols such as TCP are tuned to perform well in traditional networks where packet losses occur mostly because of congestion. However, networks with wireless and other lossy links also suffer from significant non-congestion-related losses due to reasons such as bit errors and handoffs. TCP responds to all losses by invoking congestion control and avoidance algorithms, resulting in degraded end-to-end performance in wireless and lossy systems. In this paper, we compare several schemes designed to improve the performance of TCP in such networks. These schemes are classified into three broad categories: end-to-end protocols, where the sender is aware of the wireless link; link-layer protocols, that provide local reliability; and split-connection protocols, that break the end-to-end connection into two parts at the base station. We present the results of several experiments performed in both LAN and WAN environments, using throughput and goodput as the metrics for comparison.Our results show that a reliable link-layer protocol with some knowledge of TCP provides very good performance. Furthermore, it is possible to achieve good performance without splitting the end-to-end connection at the base station. We also demonstrate that selective acknowledgments and explicit loss notifications result in significant performance improvements.
EXPERIMENTAL TRANSMISSION OF INFLUENZA VIRUS INFECTION IN MICE

Immunization of mice by infection or intraperitoneal injection with homotypic A2, heterotypic A0, or recombinant A0A2 virus have differing effects on transmission of influenza A2 virus infection. Immunization by infection with A2 virus resulted in refractoriness to reinfection either by artificial aerosols or by exposure to infected cage-mates. Immunization by inoculation with inactivated A2 virus vaccine resulted in a decreased susceptibility to transmitted infection in immunized contacts, but following A2 virus challenge, transmission of infection by immunized infectors was not altered. Immunization by infection with influenza A0 virus or recombinant A0A2 virus resulted in a decreased susceptibility to transmitted A2 virus infection in immunized contacts, and to decreased transmission after A2 virus infection in immunized infector mice. These differing effects on transmission of infection are attributed to differences in specific local immunologic responses following the various immunization procedures.
Explicit data placement (XDP)(extended abstract): a methodology for explicit compile-time representation and optimization of data movement

Many program representations used in compilers represent da ta movement and partitioning only partially, and in an implicit manner. Conventional representations, such as those based on da ta dependence graphs, are best suited when all storage is globally shared, so tha t each da ta dependence edge can be treated as a potential s t o r e followed by a l o a d from the same address in memory [1]. When such a representation is used in a context where storage is physically distributed and only a portion of it is directly addressable by a processor, the t rea tment of a da ta dependence becomes much more complex. In such cases, the compiler has to t reat certain da ta dependences differently from others, leading to added complexity in optimization. Explicit Da ta Placement (XDP) is a methodology for the explicit representation and t rea tment of da ta movement in a compiler. The XDP methodology can be used to augment most existing compiler intermediate representations, thus providing a more convenient platform for the optimization of da ta movement. In this extended abstract , we outline the XDP methodology, briefly mention the da ta structures and routines tha t are required to support it, and give an example tha t illustrates one of its unique features: the ability to specify dynamic transfer of da ta ownership.
ACCF/SCAI/STS/AATS/AHA/ASNC 2009 Appropriateness Criteria for Coronary Revascularization

The American College of Cardiology Foundation (ACCF), Society for Cardiovascular Angiography and Interventions, Society of Thoracic Surgeons, and the American Association for Thoracic Surgery, along with key specialty and subspecialty societies, conducted an appropriateness review of common clinical scenarios in which coronary revascularization is frequently considered. The clinical scenarios were developed to mimic common situations encountered in everyday practice and included information on symptom status, extent of medical therapy, risk level as assessed by noninvasive testing, and coronary anatomy. Approximately 180 clinical scenarios were developed by a writing committee and scored by a separate technical panel on a scale of 1 to 9. Scores of 7 to 9 indicate that revascularization was considered appropriate and likely to improve health outcomes or survival. Scores of 1 to 3 indicate revascularization was considered inappropriate and unlikely to improve health outcomes or survival. The mid range (4 to 6) indicates a clinical scenario for which the likelihood that coronary revascularization would improve health outcomes or survival was considered uncertain. For the majority of the clinical scenarios, the panel only considered the appropriateness of revascularization irrespective of whether this was accomplished by percutaneous coronary intervention (PCI) or coronary artery bypass graft surgery (CABG). In a select subgroup of clinical scenarios in which revascularization is generally considered appropriate, the appropriateness of PCI and CABG individually as the primary mode of revascularization was considered. In general, the use of coronary revascularization for patients with acute coronary syndromes and combinations of significant symptoms and/or ischemia was viewed favorably. In contrast, revascularization of asymptomatic patients or patients with low-risk findings on noninvasive testing and minimal medical therapy were viewed less favorably. It is anticipated that these results will have an impact on physician decision making and patient education regarding expected benefits from revascularization and will help guide future research.
Video-Based Rendering

Image-based rendering is one of the hottest new areas in computer graphics. Instead of using 3D modeling and painting tools to construct graphics models by hand, IBR uses real-world imagery to rapidly create photorealistic shape and appearance models. However, IBR results to date have mostly been restricted to static objects and scenes. Video-based rendering brings the same kind of realism to computer animation, using video instead of still images as the source material. Examples of VBR include facial animation from sample videos, repetitive video textures that can be used to animate still scenes and photos, 3D environment walkthroughs built from panoramic video, and 3D video constructed from multiple synchronized cameras. In this paper, I survey a number of such systems developed by our group and by others, and suggest how this kind of approach has the potential to fundamentally transform the production (and consumption) of interactive visual media.
Coal Tar and Paving Products

In their article “Organic Diets Significantly Lower Children’s Dietary Exposure to Organophosphorus Pesticides,” Lu et al. (2006) used language that is likely to be misused by organic food marketers to promote high-priced foods and could discourage lower-income parents from providing their children with a diet rich in fruits and vegetables.
The roles of shared vs. distinctive conceptual features in lexical access

Contemporary models of spoken word production assume conceptual feature sharing determines the speed with which objects are named in categorically-related contexts. However, statistical models of concept representation have also identified a role for feature distinctiveness, i.e., features that identify a single concept and serve to distinguish it quickly from other similar concepts. In three experiments we investigated whether distinctive features might explain reports of counter-intuitive semantic facilitation effects in the picture word interference (PWI) paradigm. In Experiment 1, categorically-related distractors matched in terms of semantic similarity ratings (e.g., zebra and pony) and manipulated with respect to feature distinctiveness (e.g., a zebra has stripes unlike other equine species) elicited interference effects of comparable magnitude. Experiments 2 and 3 investigated the role of feature distinctiveness with respect to reports of facilitated naming with part-whole distractor-target relations (e.g., a hump is a distinguishing part of a CAMEL, whereas knee is not, vs. an unrelated part such as plug). Related part distractors did not influence target picture naming latencies significantly when the part denoted by the related distractor was not visible in the target picture (whether distinctive or not; Experiment 2). When the part denoted by the related distractor was visible in the target picture, non-distinctive part distractors slowed target naming significantly at SOA of −150 ms (Experiment 3). Thus, our results show that semantic interference does occur for part-whole distractor-target relations in PWI, but only when distractors denote features shared with the target and other category exemplars. We discuss the implications of these results for some recently developed, novel accounts of lexical access in spoken word production.
Supplemental Data Developmental Origin of Fat: Tracking Obesity to Its Source

Acta1 Actin, alpha1, skeletal muscle (Timmons et al., 2007) Actc1 Actin, alpha1, Cardiac (Timmons et al., 2007) Actn4 Alpha actinin 4 (Boeuf et al., 2001) BUG Brown unknown gene (Moulin et al., 2001) Cd83 CD83 antigen (Timmons et al., 2007) Chrnal Cholinergic receptor, nicotinic, alpha polypeptide1 (muscle) (Timmons et al., 2007) Cldn5 Claudin 5 (Timmons et al., 2007) FN Fibronectin (Boeuf et al., 2001) HCAP Hepatocellular carcinoma associated protein (Boeuf et al., 2001) HDLBP High-density lipoprotein binding protein (vigilin) (Boeuf et al., 2001) Icam2 Intercellular adhesion molecule 2 (Timmons et al., 2007) Lhx8 LIM homeobox protein 8 (Timmons et al., 2007) MDC15 Metargidin (Boeuf et al., 2001) Meox2 Mesenchyme homeobox 2 (Timmons et al., 2007) Mme Membrane metallo endopeptidase (Timmons et al., 2007) Myh3 Myosin, heavy polypeptide 3, skeletal muscle, embryonic (Timmons et al., 2007) Myl1 Myosin, light polypeptide 1 (Timmons et al., 2007) Mylpf Myosin light chain, phosphorylatable, fast skeletal muscle (Timmons et al., 2007) Myog Myogenin (Timmons et al., 2007) Ndn Necdin (Boeuf et al., 2001; Tseng et al., 2005) pRb, p107, p130 Retinoblastoma family of protein (Hansen et al., 2004; Scime et al., 2005) PRDM16 PR domain containing 16 (Seale et al., 2007) Snrpa Small nuclear ribonucleoprotein polypeptide A (Boeuf et al., 2001) Tbx15 T-box 15 (Timmons et al., 2007) Tnnc1 Troponin C, cardiac/slow skeletal (Timmons et al., 2007) Tnni1 Troponin I, skeletal, slow 1 (Timmons et al., 2007) Tnnt3 Troponin T3, skeletal, fast (Timmons et al., 2007) Zic1 Zinc finger protein of the cerebellum 1 (Timmons et al., 2007)
Characterization of Benzoyl Saxitoxin Analogs from the Toxigenic Marine Dinoflagellate Gymnodinium catenatum by Hydrophilic Interaction Liquid Ion-Chromatography-Tandem Mass Spectrometry

The chain-forming marine dinoflagellate Gymnodinium catenatum Graham has a remarkable capacity to produce a wide array of neurotoxic alkaloids associated with Paralytic Shellfish Poisoning (PSP). More than a decade ago, a completely new group of benzoyl saxitoxin analogs produced exclusively by this species was discovered, but the exact structural assignments and diversity among global population has remained elusive and nconfirmed in most cases. In the current study, fifteen among eighteen hypothetical benzoyl analogs were partially purified and identified from cultured isolates of G. catenatum from the Pacific coast of Mexico. Combined serial application of flash chromatography, preparative liquid chromatography and tandem mass spectrometry (LC-MS/MS) in multiple steps yielded a richness of benzoyl analogs that has not been reported nor confirmed before. Two sub-fractions were analyzed by 1H-NMR; results from one fraction showed a probable AMX pattern for three protons, consistent with the presence of a 3,4-dihydroxylated benzoyl ring. These findings could be interpreted to correct the 2,4-dihydroxylated structure previously proposed for the GCa benzoyl analog series. The revised and enhanced structural information on proposed benzoyl derivatives is necessary to provide further insights into biogeographical diversity of these potentially potent toxins produced by marine dinoflagellates and their role in seafood safety.
Optical phonon production by upconversion: Heterojunction-transmitted versus native phonons

High-energy optical phonons are preferred in phonon-absorbing transitions, and regarding their production we analyze the phonon upconversion processes under nonequilibrium created by heterojunction transmission. For heterojunctions, steady phonon flux from a low-cutoff-frequency layer (e.g., Ge) is transmitted to a high cutoff layer (e.g., Si), creating a nonequilibrium population of low-energy phonons for upconversion. Using quantum spectral phonon transmission and first-principles calculations of the phonon interaction kinetics, we identify the high-conversion efficiency channels, i.e., modes and wave vectors. Junction-transmitted phonons, despite suffering from the interface reflection and from spreading interactions with equilibrium native phonons, have a high upconversion rate to Brillouin zone-boundary optical phonons, while nonequilibrium native phonons are efficiently upconverted over most of the zone. So, depending on the harvested optical phonon, one of these nonequilibrium phonons can be selected for an efficient upconversion rate.
Performance comparison of land change modeling techniques for land use projection of arid watersheds

The change of land use/land cover has been known as an imperative force in environmental alteration, especially in arid and semi-arid areas. This research was mainly aimed to assess the validity of two major types of land change modeling techniques via a three dimensional approach in Birjand urban watershed located in an arid climatic region of Iran. Thus, a Markovian approach based on two suitability and transition potential mappers, i.e. fuzzy analytic hierarchy process and artificial neural network-multi layer perceptron was used to simulate land use map. Validation metrics, quantity disagreement, allocation disagreement and figure of merit in a three-dimensional space were used to perform model validation. Utilizing the fuzzy-analytic hierarchy processsimulation of total landscape in the target point 2015, quantity error, the figure of merit and allocation error were 2%, 18.5% and 8%, respectively. However, Artificial neural network-multi layer perceptron simulation led to a marginal improvement in figure of merit, i.e. 3.25%.
A Radio-Inertial Localization and Tracking System with BLE Beacons Prior Maps

In this paper, we develop a system for the low-cost indoor localization and tracking problem using radio signal strength indicator, Inertial Measurement Unit (IMU), and magnetometer sensors. We develop a novel and simplified probabilistic IMU motion model as the proposal distribution of the sequential Monte-Carlo technique to track the robot trajectory. Our algorithm can globally localize and track a robot with a priori unknown location, given an informative prior map of the Bluetooth Low Energy (BLE) beacons. Also, we formulate the problem as an optimization problem that serves as the Backend of the algorithm mentioned above (Front-end). Thus, by simultaneously solving for the robot trajectory and the map of BLE beacons, we recover a continuous and smooth trajectory of the robot, corrected locations of the BLE beacons, and the time-varying IMU bias. The evaluations achieved using hardware show that through the proposed closed-loop system the localization performance can be improved; furthermore, the system becomes robust to the error in the map of beacons by feeding back the optimized map to the Front-end.
Effective Prediction of Missing Data on Apache Spark over Multivariable Time Series

More massive volume of data are generated in many areas than ever before. However, the missing of some values in collected data always occurs in practice and challenges extracting maximal value from these large scale data sets. Nevertheless, in multivariable time series, most of the existing methods either might be infeasible or could be inefficient to predict the missing data. In this paper, we have taken up the challenge of missing data prediction in multivariable time series by employing improved matrix factorization techniques. Our approaches are optimally designed to largely utilize both the internal patterns of each time series and the information of time series across multiple sources. Based on the idea, we have imposed three different regularization terms to constrain the objective functions of matrix factorization and built five corresponding models. Extensive experiments on real-world data sets and synthetic data set demonstrate that the proposed approaches can effectively improve the performance of missing data prediction in multivariable time series. Furthermore, we have also demonstrated how to take advantage of the high processing power of Apache Spark to perform missing data prediction in large scale multivariable time series.
The Effects of Soft Drink Taxes on Child and Adolescent Consumption and Weight Outcomes

Childhood and adolescent obesity is associated with serious lifetime health consequences and has seen a recent rapid increase in prevalence. Soft drink consumption has also expanded rapidly, so much so that soft drinks are currently the largest single contributors to energy intake. In this paper, we investigate the potential for soft drink taxes to combat rising levels of adolescent obesity through a reduction in consumption. Our results, based on state soft drink sales and excise tax information between 1988 and 2006 and the National Health Examination and Nutrition Survey, suggest that soft drink taxation, as currently practiced in the United States, leads to a moderate reduction in soft drink consumption by children and adolescents. However, we show that this reduction in soda consumption is completely offset by increases in consumption of other high calorie drinks.
FDA 510 ( k ) Clearance for its most advanced and innovative antimicrobial dressing : AQUACEL TM Ag Advantage dressing

Chronic non-healing wounds have a significant impact on quality of life for patients, many of whom are elderly, have diabetes or other underlying conditions, which often lead to serious events such as limb amputations or premature death. In the U.S. Medicare recently published data showed that 8.2 million seniors had at least one type of wound or wound-related infection, with an estimated annual cost of up to $96.8 billion.
Neurophysiology : Cerebral Carbon Dispatch Copies

As your eyes scan this page, despite the constantly changing retinal images, your perception of the world is stable. If, however, the identical retinal images were induced by moving the visual scene, with eyes fixed, you would correctly perceive the world as moving. How can these two identical retinal inputs give such different percepts? René Descartes [1] first under­ stood that if the visual scene is apparently stable during eye movements, this is because the brain takes into account the motor commands sent to move the eyes. This is easily demonstrable: close one eye and gently push on the open eye (through the lid) with your finger. The world appears to move, as this is the usual percept for a changing retinal image without an ocu­ lomotor command. Sperry [2] suggested that when a motor command is sent to the eyes, a ‘corollary discharge’ of that command is fed back to sensory centers to adjust perception. In parallel, von Holst and Mittelstaedt [3] developed the idea that a copy of the motor command is used to cancel out the effects of sensory changes induced by self-motion — the socalled ‘efference copy’ hypothesis. In this way, the brain is able to predict the sensory consequences of our actions and adjust our percepts appropriately. Direct demonstrations of the existence and use of corollary discharge in mammals have proved difficult. The putative corollary discharge must meet four crite­ ria. First, the signal must be correlated with the motor command, and not with sensory feedback. Second, to distinguish it from the actual motor command, the signal must not generate movement. Third, the signal must be used to update the estimated body state, for example eye position. Last, it must alter perception appropriately. Several studies have already found path­ ways which fulfill some of these criteria. For example, in a series of experiments in the cat, Arshavsky and colleagues [4] discovered fibers in the spinal cord that relay motor patterns to the cerebellum. Other motor signals that feed back to central structures have also been found. In the monkey, some neurons in the primary somatosensory area discharge before movement, at a time when their receptive field cannot have been stim­ ulated [5]. In both cases, however, it is unclear how these internal feedback signals are processed, let alone
A MODERN HEALTH CARE SYSTEM USING IOT AND ANDROID

A modern healthcare IoT platform with an intelligent medicine box along with sensors for health monitoring and diagnosis is proposed here. Health care services based on Internet of Things have great potential in medical field. In this paper, an intelligent home-based medicine box with wireless connectivity along with an android application (Health-IoT) that helps patients and doctors to be in a more close communication. The proposed platform has an intelligent medicine box that gives alerts for patients to take their medication at the right time. The box is wirelessly connected to internet to make timely updates about medicines which will be notified in the android application with in patient’s smartphone. The system automatically gives alarm so that the patient takes the right medicine at the right time. And if there are any vital signs noticed SMS alerts are given to the predefined guardian