Miracle-dz/UniFAR-FTUs huggingface dataset:
Multimodal Antiemetic Management Prevents Early Postoperative Vomiting After Outpatient Laparoscopy

Because no completely effective antiemetic exists for the prevention of postoperative nausea and vomiting (PONV), we hypothesize that a multimodal approach to management of PONV may reduce both vomiting and the need for rescue antiemetics in high-risk patients. After IRB approval, women undergoing outpatient laparoscopy were randomized to one of three groups. Group I (n = 60) was managed by using a predefined multimodal clinical care algorithm. Patients undergoing the same surgical procedure who received a standard balanced outpatient anesthetic with ondansetron 4 mg (Group II, n = 42) or placebo (Group III, n = 37) prophylaxis were chosen to establish baseline incidence of nausea and vomiting. None of the Group I patients vomited before discharge, compared with 7% in Group II (P = 0.07) and 22% in Group III (P = 0.0003). However, one patient (2%) in Group I required treatment for symptoms in the postanesthesia care unit, compared with 24% in Group II (P < 0.0001) and 41% in Group III (P < 0.0001). Time to discharge-ready was significantly shorter in Group I (128, 118–139 min; mean, 95% confidence interval) versus Group II (162, 145–181 min;P = 0.0015) and Group III (192, 166–222 min;P = 0.0001). Patient satisfaction with control of PONV was not different between Group I and Group II. Return to normal daily activity and overall satisfaction were not different among groups. Multimodal management resulted in a 98% complete response rate and a 0% incidence of vomiting before discharge; however, this improvement did not result in an increased level of patient satisfaction when compared with routine monotherapy prophylaxis. We conclude that both multimodal management and routine monotherapy antiemetic prophylaxis resulted in an increased level of patient satisfaction than symptomatic treatment in this high-risk population. Implications Use of a multimodal clinical care algorithm eliminates predischarge vomiting and improves satisfaction in patients undergoing outpatient laparoscopy.
Meta-Analysis of Methane Mitigation Strategies: Improved Predictions of Mitigation Potentials and Production Implications

The aim of this study was to use meta-analysis to identify the enteric methane (CH4) mitigation strategy that reduced CH4 emission without lowering production. To this end, a database initially developed was updated, compiling data from 61 publications (233 experiments) for various observations in dairy cattle on effects of hydrogen sink (H-sink), ionophore, lipid and concentrate feeds inclusion on enteric CH4 production, milk production and milk composition from dairy cattle. There was no significant effect (P>0.05) of H-sink and ionophore feeds inclusion on CH4 production while supplementation of lipid and concentrate considerably suppressed CH4 production (P 0.05), while concentrate and ionophore feeds inclusion decreased CH4 production per kg milk with no significant effect (P>0.05). There was a significant effect of concentrate on milk protein and milk yield, which increased from 23.27 kg d−1 for control to 26.52 kg d−1 for concentrate treated diet (P 0.05). This meta-analysis demonstrates that lipid and concentrate feeds inclusion reduced CH4 emissions from dairy cattle without lowering their production.
Trends in the Exposure of Nonsmokers in the U.S. Population to Secondhand Smoke: 1988–2002

The objective of this study was to describe the exposure of nonsmokers in the U.S. population to secondhand smoke (SHS) using serum cotinine concentrations measured over a period of 14 years, from October 1988 through December 2002. This study consists of a series of National Health and Nutrition Examination Surveys (NHANES) measuring serum cotinine as an index of SHS exposure of participants. Study participants were individuals representative of the U.S. civilian, noninstitutionalized population, ≥ 4 years of age. We analyzed serum cotinine and interview data from NHANES obtained during surveys conducted during four distinct time periods. Our results document a substantial decline of approximately 70% in serum cotinine concentrations in non-smokers during this period. This decrease was reflected in all groups within the population regardless of age, sex, or race/ethnicity. The large decrease that we observed in serum cotinine concentrations suggests a substantial reduction in the exposure of the U.S. population to SHS during the 1990s. The exposure of nonsmokers to SHS represents an important public health concern. Our findings suggest that recent public health efforts to reduce such exposures have had an important effect, although children and non-Hispanic black nonsmokers show relatively higher levels of serum cotinine.
Right ear advantage for conspecific calls in adults and subadults, but not infants, California sea lions (Zalophus californianus): hemispheric specialization for communication?

This paper explores functional hemispheric asymmetries in the perception of auditory signals in a marine mammal species, the sea lion. Using a head‐orienting task toward sounds we found a right ear – left hemisphere – advantage for conspecific calls in adult and subadult California sea lions (Zalophus californianus) that was absent in infants. Non‐conspecific sounds did not elicit lateralized reactions in any age group. These findings show that maturational steps regarding communication in the brain of pinnipeds are similar to those described in primates. Such a result in a semi‐aquatic species distant from primates on the phylogenetic tree speaks for a stability and an ancient emergence of the left hemispheric specialization for vocal communication. The origin of what seems to be a widespread brain feature might be searched in the temporal and spectral communicative sound's characteristics rather than in its semantic value.
Fluid Lensing and Applications to Remote Sensing of Aquatic Environments

The use of fluid lensing technology on UAVs is presented as a novel means for 3D imaging of aquatic ecosystems from above the water’s surface at the centimeter scale. Preliminary results are presented from airborne fluid lensing campaigns conducted over the coral reefs of Ofu Island, American Samoa (2013) and the stromatolite reefs of Shark Bay, Western Australia (2014), covering a combined area of 15km2. These reef ecosystems were revealed with centimetre-scale 2D resolution, and an accompanying 3D bathymetry model was derived using fluid lensing, Structure from Motion and UAV position data. Data products were validated from in-situ survey methods including underwater calibration targets, depth measurements and millimetre-scale high-dynamic-range gigapixel photogrammetry. Fluid lensing is an experimental technology that uses water-transmitting wavelengths to passively image underwater objects at high-resolution by exploiting time-varying optical lensing events caused by surface waves. Fluid lensing data are captured from low-altitude, cost-effective electric UAVs to achieve multispectral imagery and bathymetry models at the centimetre scale over regional areas. As a passive system, fluid lensing is presently limited by signal-to-noise ratio and water column inherent optical properties to ~10 m depth over visible wavelengths in clear waters. The datasets derived from fluid lensing present the first centimetre-scale images of a reef acquired from above the ocean surface, without wave distortion. The 3D multispectral data distinguish coral, fish and invertebrates in American Samoa, and reveal previously undocumented, morphologically distinct, stromatolite structures in Shark Bay. These findings suggest fluid lensing and multirotor electric drones represent a promising advance in the remote sensing of aquatic environments at the centimetre scale, or ‘reef scale’ relevant to the conservation of reef ecosystems. Pending further development and validation of fluid lensing methods, these technologies present a solution for large-scale 3D surveys of shallow aquatic habitats with centimetre-scale spatial resolution and hourly temporal sampling.
MobiSim: A Framework for Simulation of Mobility Models in Mobile Ad-Hoc Networks

A Mobile Ad hoc Network (MANET) is a collection of wireless mobile nodes forming a self-configuring network without using any existing infrastructure. Since MANETs are not currently deployed on a large scale, research in this area is mostly simulation based. Among other simulation parameters, the mobility model plays a very important role in determining the protocol performance in MANET. Thus, it is essential to study and analyze various mobility models and their effect on MANET protocols. In this paper we introduce a new framework for simulation of mobility models in mobile Ad-Hoc networks. This simulator can generate mobility traces in various mobility models. The mobility traces can be customized for different network simulators using XML and text output formats. User friendly graphical interface and batch processing ability makes our simulator one of the most efficient and useful mobility simulators in this field of research. We also propose some new features and parameters in mobility models to make the behavior of our simulator supported mobility models more similar to real world mobile node motions and fix some problems in last proposed methods to generate mobility models.
Interactive signal processing documents

Recently it has become possible to combine a powerful mathematical program with a word processor and thus create interactive scientific documents. The important features of an interactive document are described, and it is shown why such a document helps make research and learning more efficient. A program called Mathematica is used to illustrate the points made. A review of tools for signal processing and their desirable features is included to provide a background for the discussion. <<ETX>>
An empirical analysis of sponsored search performance in search engine advertising

The phenomenon of sponsored search advertising â where advertisers pay a fee to Internet search engines to be displayed alongside organic (non-sponsored) web search results â is gaining ground as the largest source of revenues for search engines. Despite the growth of search advertising, we have little understanding of how consumers respond to contextual and sponsored search advertising on the Internet. Using a unique panel dataset of several hundred keywords collected from a large nationwide retailer that advertises on Google, we empirically model the relationship between different metrics such as click-through rates, conversion rates, bid prices and keyword ranks. Our paper proposes a novel framework and data to better understand what drives these differences. We use a Hierarchical Bayesian modeling framework and estimate the model using Markov Chain Monte Carlo (MCMC) methods. We empirically estimate the impact of keyword attributes on consumer search and purchase behavior as well as on firms' decision-making behavior on bid prices and ranks. We find that the presence of retailer-specific information in the keyword increases click-through rates, and the presence of brand-specific information in the keyword increases conversion rates. We also demonstrate that as suggested by anecdotal evidence, search engines like Google factor in both the auction bid price as well as prior click-through rates before allotting a final rank to an advertisement. To the best of our knowledge, this is the first study that uses real world data from an advertiser and jointly estimates the effect of sponsored search advertising at a keyword level on consumer search, click and purchase behavior in electronic markets
Efﬁcient Energy Management for Internet of Things in Smart Cities

—The drastic increase in urbanization over the past few years requires sustainable, efﬁcient, and smart solutions for transportation, governance, environment, quality of life, etc. The Internet of Things (IoT) offers many sophisticated and ubiquitous applications for smart cities. The energy demand of IoT applications is increased, while the IoT devices continue to grow in both numbers and their requirements. Therefore, smart city solutions must have the ability to efﬁciently utilize energy and handle associated challenges. Energy management is considered as a key paradigm for the realization of complex energy systems in smart cities. In this article, we present a brief overview of energy management and challenges in smart cities. We then provide a unifying framework for energy-efﬁcient optimization and scheduling of IoT-based smart cities. We also discuss the energy harvesting in smart cities, which is a promising solution for extending the lifetime of low power devices and its related challenges. We detail two case studies, the ﬁrst one targets energy-efﬁcient scheduling in smart homes and the second covers wireless power transfer for IoT devices in smart cities. Simulation results for case studies demonstrate the tremendous impact of energy-efﬁcient scheduling optimization and wireless power transfer on the performance of IoT in smart cities.
CPEB4 Is a Cell Survival Protein Retained in the Nucleus upon Ischemia or Endoplasmic Reticulum Calcium Depletion

ABSTRACT The RNA binding protein CPEB (cytoplasmic polyadenylation element binding) regulates cytoplasmic polyadenylation and translation in germ cells and the brain. In neurons, CPEB is detected at postsynaptic sites, as well as in the cell body. The related CPEB3 protein also regulates translation in neurons, albeit probably not through polyadenylation; it, as well as CPEB4, is present in dendrites and the cell body. Here, we show that treatment of neurons with ionotropic glutamate receptor agonists causes CPEB4 to accumulate in the nucleus. All CPEB proteins are nucleus-cytoplasm shuttling proteins that are retained in the nucleus in response to calcium-mediated signaling and alpha-calcium/calmodulin-dependent kinase protein II (CaMKII) activity. CPEB2, -3, and -4 have conserved nuclear export signals that are not present in CPEB. CPEB4 is necessary for cell survival and becomes nuclear in response to focal ischemia in vivo and when cultured neurons are deprived of oxygen and glucose. Further analysis indicates that nuclear accumulation of CPEB4 is controlled by the depletion of calcium from the ER, specifically, through the inositol-1,4,5-triphosphate (IP3) receptor, indicating a communication between these organelles in redistributing proteins between subcellular compartments.
Agreement among statistical significance tests for information retrieval evaluation at varying sample sizes

Research has shown that little practical difference exists between the randomization, Student's paired t, and bootstrap tests of statistical significance for TREC ad-hoc retrieval experiments with 50 topics. We compared these three tests on runs with topic sizes down to 10 topics. We found that these tests show increasing disagreement as the number of topics decreases. At smaller numbers of topics, the randomization test tended to produce smaller p-values than the t-test for p-values less than 0.1. The bootstrap exhibited a systematic bias towards p-values strictly less than the t-test with this bias increasing as the number of topics decreased. We recommend the use of the randomization test although the t-test appears to be suitable even when the number of topics is small.
Interfacial properties of Lennard-Jones chains by direct simulation and density gradient theory.

We perform a series of molecular dynamics simulations of Lennard-Jones chains systems, up to tetramers, in order to investigate the influence of temperature and chain length on their phase separation and interfacial properties. Simulation results serve as a test to check the accuracy of a statistical associated fluid theory (soft-SAFT) coupled with the density gradient theory. We focus on surface tension and density profiles. The simulations allow us to discuss the success and limitations of the theory and how to estimate the only adjustable parameter, the influence parameter. This parameter is obtained by fitting the surface tension, and then used to obtain the density profiles in a predictive manner. A good agreement is found if the temperature dependence of this parameter is neglected. (c) 2004 American Institute of Physics.
Pricing Aggregate Queries in a Data Marketplace

In a data marketplace, producers of data provide query answers to consumers in exchange for payment. A market for data allows capital to flow from data consumers to data producers. This helps to finance the costs of data collection and dissemination, thereby increasing the availability of data throughout society. While nascent data markets exist on the Web, they are currently limited in the pricing mechanisms and interactions they support. In this paper we propose new criteria for interactive pricing in a data market: price functions should be non-disclosive, arbitrage-free, and regret-free. We study the structure of price functions meeting these criteria, and distinguish between NP-complete and PTIME cases for computing a conforming price function.
A New Design Method of Multi-Rate Quasi-Cyclic LDPC Codes

A new method called fractional row combination is proposed to design a group of multi-rate quasi-cyclic LDPC codes in this paper. Unlike the original row combination method, it guarantees all the codes under different rates have concentrated check-node degree distributions, hence better performance under iterative decoding. Moreover, a combinatorial method based on BIBD is applied to our design. Together with fractional row combination, a family of multi-rate quasi-cyclic LDPC codes can be constructed. A low-complexity architecture of the universal decoder for all rates is also introduced
Bone-derived SDF-1 stimulates IL-6 release via CXCR4, ERK and NF-κB pathways and promotes osteoclastogenesis in human oral cancer cells

Oral squamous cell carcinoma (SCC) has a striking tendency to invade to bone. The chemokine stromal cell-derived factor-1 (SDF-1) is constitutively secreted by osteoblasts and plays a key role in homing of hematopoietic cells to the bone marrow. Interleukin (IL)-6 plays an important role in osteoclastogenesis. Herein, we found that SDF-1α increased the secretion of IL-6 in cultured human SCC cells, as shown by reverse transcriptase–polymerase chain reaction and enzyme-linked immunosorbent assay. SDF-1α also increased the surface expression of chemokine receptor 4 (CXCR4) in SCC cells. CXCR4-neutralizing antibody, CXCR4-specific inhibitor (AMD3100) or small interfering RNA against CXCR4 inhibited SDF-1α-induced increase IL-6 production. The transcriptional regulation of IL-6 by SDF-1α was mediated by phosphorylation of extracellular signal-regulated kinases (ERKs) and activation of the nuclear factor-kappa B (NF-κB) components p65 and p50. The binding of p65 and p50 to the NF-κB element on the IL-6 promoter was enhanced by SDF-1α. In addition, IL-6 antibody antagonized the SCC-conditioned medium-increased osteoclastogenesis. These results suggested that SDF-1α from osteoblasts could induce release of IL-6 in human SCC cells via activation of CXCR4, ERK and NF-κB pathway and thereby promote osteoclastogenesis.
Auction Analysis by Normal Form Game Approximation

Auctions are pervasive in todaypsilas society and provide a variety of real markets. This article facilitates a strategic choice between a set of available trading strategies by introducing a methodology to approximate heuristic payoff tables by normal form games. An example from the auction domain is transformed by this means and an evolutionary game theory analysis is applied subsequently. The information loss in the normal form approximation is shown to be reasonably small such that the concise normal form representation can be leveraged in order to make strategic decisions in auctions. In particular, a mix of trading strategies that guarantees a certain profit is computed and further applications are indicated.
Validity of Movement Pattern Kinematics as Measures of Arm Motor Impairment Poststroke

Background and Purpose— Upper limb motor impairment poststroke is commonly evaluated using clinical outcome measures such as the Fugl-Meyer Assessment. However, most clinical measures provide little information about motor patterns and compensations (eg, trunk displacement) used for task performance. Such information is obtained using movement quality kinematic variables (joint ranges, trunk displacement). Evaluation of movement quality may also help distinguish between levels of motor impairment severity in individuals poststroke. Our objective was to estimate concurrent and discriminant validity of movement quality kinematic variables for pointing and reach-to-grasp tasks. Methods— A retrospective study of kinematic data (sagittal trunk displacement, shoulder flexion, shoulder horizontal adduction, elbow extension) and Fugl-Meyer Assessment scores from 86 subjects (subacute to chronic stroke) performing pointing and reaching tasks was done. Multiple and logistic regression analyses were used to estimate concurrent and discriminant validity respectively. Cutoff points for distinguishing between levels of upper limb motor impairment severity (mild, moderate to severe) were estimated using sensitivity/specificity decision plots. The criterion measure used was the Fugl-Meyer Assessment (upper limb section). Results— The majority of variance in Fugl-Meyer Assessment scores was explained by a combination of trunk displacement and shoulder flexion (51%) for the pointing task and by trunk displacement alone (52%) for the reach-to-grasp task. Trunk displacement was the only variable that distinguished between levels of motor impairment severity. Cutoff points were 4.8 cm for pointing and 10.2 cm for reach-to-grasp movements. Conclusion— Movement quality kinematic variables are valid measures of arm motor impairment levels poststroke. Their use in regular clinical practice and research is justified.
Transient Worsening of Photosensitivity due to Cholelithiasis in a Variegate Porphyria Patient

Variegate porphyria (VP) is an autosomal dominant disease caused by mutations of the protoporphyrinogen oxidase (PPOX) gene. This porphyria has unique characteristics which can induce acute neurovisceral attacks and cutaneous lesions that may occur separately or together. We herin report a 58-years-old VP patient complicated with cholelithiasis. A sequencing analysis indicated a novel c.40G>C mutation (p.G14R) in the PPOX gene. His cutaneous photosensitivity had been worsening for 3 years before the emergence of cholecystitis and it then gradually improved after cholecystectomy and ursodeoxycholic acid treatment with a slight decline in the porphyrin levels in his blood, urine and stool. In VP patients, a worsening of photosensitivity can thus be induced due to complications associated with some other disease, thereby affecting their porphyrin-heme biosynthesis.
Syntax Aware LSTM Model for Chinese Semantic Role Labeling

As for semantic role labeling (SRL) task, when it comes to utilizing parsing information, both traditional methods and recent recurrent neural network (RNN) based methods use the feature engineering way. In this paper, we propose Syntax Aware Long Short Time Memory(SA-LSTM). The structure of SA-LSTM modifies according to dependency parsing information in order to model parsing information directly in an architecture engineering way instead of feature engineering way. We experimentally demonstrate that SA-LSTM gains more improvement from the model architecture. Furthermore, SA-LSTM outperforms the state-of-the-art on CPB 1.0 significantly according to Student t-test ($p<0.05$).