Miracle-dz/UniFAR-FTUs huggingface dataset:
Preoperative Alcohol Consumption and Postoperative Complications: A Systematic Review and Meta-Analysis

Objective: To systematically review and summarize the evidence of the association between preoperative alcohol consumption and postoperative complications elaborated on complication type. Background: Conclusions in studies on preoperative alcohol consumption and postoperative complications have been inconsistent. Methods: A systematic review and meta-analysis based on a search in MEDLINE, EMBASE, CINAHL, and PsycINFO citations. Included were original studies of the association between preoperative alcohol consumption and postoperative complications occurring within 30 days of the operation. In total, 3676 studies were identified and reviewed for eligibility, and data were extracted. Forest plots and pooled relative risks (RRs), including 95% confidence intervals (CIs), were estimated for several complication types. Results: Fifty-five studies provided data for estimates. Preoperative alcohol consumption was associated with an increased risk of various postoperative complications, including general morbidity (RR = 1.56; 95% CI: 1.31–1.87), general infections (RR = 1.73; 95% CI: 1.32–2.28), wound complications (RR = 1.23; 95% CI: 1.09–1.40), pulmonary complications (RR = 1.80; 95% CI: 1.30–2.49), prolonged stay at the hospital (RR = 1.24; 95% CI: 1.18–1.31), and admission to intensive care unit (RR = 1.29; 95% CI: 1.03–1.61). Clearly defined high alcohol consumption was associated with increased risk of postoperative mortality (RR = 2.68; 95% CI: 1.50–4.78). Low to moderate preoperative alcohol consumption and postoperative complications did not seem to be associated; however, very few studies were included in the analyses hereof. Conclusions: Preoperative alcohol consumption was associated with an increased risk of general postoperative morbidity, general infections, wound complications, pulmonary complications, prolonged stay at the hospital, and admission to intensive care unit.
Comparison of dose-response curves for chromosomal aberrations established by chromosome painting and conventional analysis.

PURPOSE To establish 60Co gamma-ray dose-response curves for dicentrics and translocations visualized by chromosome painting and for dicentrics analysed after conventional solid staining. MATERIALS AND METHODS Analysis of chromosomal aberrations was performed on peripheral blood lymphocytes obtained from 48 h old cultures of irradiated whole blood. Dicentrics were scored from Giemsa-stained preparations, and bi-coloured dicentrics and translocations after FISH painting of chromosomes 1, 2 and 4. RESULTS Equal frequencies of complete dicentrics and translocations, where both members of the exchanges were seen, were observed in the chromosome painting analysis at all doses, resulting in similar calibration curves. Due to differences in scoring criteria, dicentrics scored in conventionally Giemsa-stained slides agreed better with data for total than for complete exchanges. Donor differences for translocations at the control level and at low doses were seen and large uncertainty surrounds the linear component of the dose-response for total translocations. CONCLUSIONS Dose reconstruction of past exposures in cases of low doses is very dependent on the linear coefficient of the curve. Results indicate that total translocations would give less reliable dose estimates and therefore complete translocations are preferred.
Integrated genetic and physical map of the 1q31→q32.1 region, encompassing the RP12 locus, the F13B and HF1 genes, and the EEF1AL11 and RPL30 pseudogenes

The gene for autosomal recessive retinitis pigmentosa (RP12) with preserved para-arteriolar retinal pigment epithelium was previously mapped close to the F13B gene in region 1q31→q32.1. A 4-Mb yeast artificial chromosome contig spanning this interval was constructed to facilitate cloning of the RP12 gene. The contig comprises 25 sequence-tagged sites, polymorphic markers, and single-copy probes, including five newly obtained probes. The contig orders the F13B and HF1 genes, as well as five expressed sequence tags, with respect to the integrated genetic map of this region. Homozygosity mapping resulted in refinement of the candidate gene locus for RP12 to a 1.3-cM region. Currently, approximately 1 Mb of the contig is represented in P1-derived artificial chromosome (PAC) clones. Direct screening of a cDNA library derived from neural retina with PACs resulted in identification of the human elongation factor 1α pseudogene (EEF1AL11) and a human ribosomal protein L30 pseudogene (RPL30). A physical and genetic map covering the entire RP12 candidate gene region was constructed.
An improved SJF scheduling algorithm in cloud computing environment

Today, the service provider has to serve many users and the increase of the requests or tasks from the users to the cloud providers has become one of the scalable techniques to proposed the services. Many scheduling algorithms have been proposed to schedule the tasks in cloud computing environment such as (SJF) and (FCFS) algorithms. This paper aims to improve the shortest job first scheduling algorithm in the cloud computing. In tasks scheduling (TS), the most important parameters are makespan and response time. Therefore, we have proposed a Modified Shortest Job First algorithm (MSJF) to minimize the completion time of the last task (Makespan) and minimize the average response time with maximizing the resources utilization. MSJF has two functions, one is calculating the average of tasks length and the other one is Load-Balancing between the virtual machines. One of the important advantages of MSJF is sending the longest tasks to the fastest Machine. We compared the result of our proposed algorithm MSJF with SJF and FCFS. The performance of MSJF is better compared to SJF and FCFS.
Analysis and compensation for nonlinear interference of two high-order modulation carriers over satellite link

We introduce analytical characterization of the nonlinear interference that results when passing more than one high-order modulation carrier through the same nonlinear transponder high-power amplifier (HPA). A Volterra filter is proposed which is novel in its implementation of this analytical characterization and modeling of intersymbol interference (ISI) and adjacent channel interference (ACI). Our focus is on adaptive algorithms with pilot-based training so that the solutions are completely blind to unknown transponder HPA characteristics, and can rapidly respond to varying operating back-off level. Furthermore, two families of adaptive solutions are provided to compensate for nonlinear ISI and ACI. The first set performs adaptive channel inversion and then applies equalization. The second set of solutions performs adaptive channel identification and then applies cancellation. The effectiveness of the proposed analysis and techniques is demonstrated via extensive simulations for high-order QAM and APSK modulations. Also included is the coded performance with selected LDPC codes designed for the DVB-S2 standard. Finally, computational complexity is assessed and performance impact is quantified when complexity is reduced by decreasing the number of Volterra coefficients.
Gene expression and MR diffusion-weighted imaging after chemoembolization in rabbit liver VX-2 tumor model.

AIM To investigate the dynamic characteristics and the correlation between PCNA, Bax, nm23, E-cadherin expression and apparent diffusion coefficient (ADC) on MR diffusion-weighted imaging (DWI) after chemoembolization in rabbit liver VX-2 tumor model. METHODS Forty New Zealand rabbit liver VX-2 tumor models were included in the study. DWI was carried out periodically after chemoembolization. All VX-2 tumor samples in each group were examined by histopathology and Strept Avidin-Biotin Complex (SABC) immunohistochemical staining. RESULTS The PCNA expression index in VX-2 tumors was higher than in the normal parenchyma around the tumor (P < 0.001). Nm23, Bax or E-caderin expression index in VX-2 tumors were lower than in the normal parenchyma around the tumor (all P < 0.001). PCNA and nm23 expression in the VX-2 tumor periphery first increased and then decreased (P < 0.001 and P = 0.03, respectively), while the expression of Bax and E-cadherin before and after chemoembolization was insignificant. When b-value was 100 s/mm(2), there was a linear correlation between PCNA expression and ADC in the area of VX-2 tumor periphery (P < 0.001), and PCNA expression in VX-2 tumor periphery influenced the ADC. CONCLUSION The potential of VX-2 tumor infiltrating and metastasizing decreases, while its ability to proliferate increases for a short time after chemoembolization. To some degree, the ADC value indirectly reflects the proliferation of VX-2 tumor cells.
Single-Carrier Frequency-Domain Equalization With Hybrid Decision Feedback Equalizer for Hammerstein Channels Containing Nonlinear Transmit Amplifier

We propose a nonlinear hybrid decision feedback equalizer (NHDFE) for single-carrier (SC) block transmission systems with nonlinear transmit high power amplifier (HPA), which significantly outperforms our previous nonlinear SC frequency-domain equalization (NFDE) design. To obtain the coefficients of the channel impulse response (CIR) as well as to estimate the nonlinear mapping and the inverse nonlinear mapping of the HPA, we adopt a complex-valued (CV) B-spline neural network approach. Specifically, we use a CV B-spline neural network to model the nonlinear HPA, and we develop an efficient alternating least squares scheme for estimating the parameters of the Hammerstein channel, including both the CIR coefficients and the parameters of the CV B-spline model. We also adopt another CV B-spline neural network to model the inversion of the nonlinear HPA, and the parameters of this inverting B-spline model can be estimated using the least squares algorithm based on the pseudo training data obtained as a natural byproduct of the Hammerstein channel identification. The effectiveness of our NHDFE design is demonstrated in a simulation study, which shows that the NHDFE achieves a signal-to-noise ratio gain of 4dB over the NFDE at the bit error rate level of $10^{-4}$ .
Performance of neural classifiers for fabric faults classification

In this paper, fabric faults classification using CNeT (Behnke and Karayiannis, 1998) is studied. The basic objectives are to improve the features selection used in CNeT (Behnke and Karayiannis, 1998) classifier and compare the results with other neural network classifiers. The algorithm adopted here is composed of three stages. The first stage is a preprocessing phase where defects are detected and localized. Since every detected defect has its different shape and size, all defects are normalized to a predetermined size. In the second stage a set of features are calculated for each defect using the Haralick (1973, 1979) spatial features. The improved classification performance is achieved by employing a statistical method to select the most important features that can be used in classification. This is done by calculating a classification factor (Milligan and Cooper, 1985) for each feature vector to determine its effect in the classification process. During the third and last stage, those features are then used to train a competitive neural tree (CNeT) (Behnke and Karayiannis, 1998) designed to learn in a supervised manner the class associated with each set of features. The network can be then used to test and classify new defects. The approach is experimented with a set of images of fault free and faulty textiles and output results are compared with radial basis function classifiers.
Arousal, valence, and memory for detail

A common finding in the emotion‐memory literature is that memory is enhanced for positively arousing stimuli and negatively arousing stimuli relative to neutral stimuli. We tested the notion that post‐stimulus elaboration is responsible for these effects. Post‐stimulus elaboration refers to the process of thinking about an event (after its offset) more frequently or more in‐depth. We tested the hypothesis by presenting participants with 36 slides depicting events that varied in arousal (low and high) and valence (positive and negative). The opportunity for elaboration was manipulated by requiring participants, during the inter‐slide interval, to complete addition problems, simply view the addition problems, or view a blank slide. Cued recall memory was tested for central and background details. Based on the post‐stimulus elaboration hypothesis it was expected that the greatest memory decline would occur for the central details of negatively and positively arousing slides when participants were required to complete addition problems (i.e., a distractor task × arousal × detail interaction). Contrary to the hypothesis, we found that filling the inter‐slide interval with a distractor task decreased memory for negative stimuli compared to positive stimuli. This effect was independent of arousal. We also found that arousal increased central detail memory for positive and negative stimuli and background detail memory for positive stimuli but not for negative stimuli. This interaction was explained on the basis of pre‐attentive encoding and cue utilisation. It was concluded that in order to understand the complex relationship between emotion and memory, future studies should include, as a minimum, the variables of valence, arousal, and detail.
Factors affecting total and "respirable" dose delivered by a salbutamol metered dose inhaler.

BACKGROUND--Many factors contribute to the high variability of doses delivered to the lungs of patients using metered dose inhalers (MDIs). Relatively little attention has been paid to the contribution to this variability of the way in which the MDI is handled before the inhalation manoeuvre. Instruction leaflets often recommend procedures at odds with those used for in vitro testing of the device. The standard protocol for in vitro assessment of salbutamol MDIs involves shaking the MDI vigorously for 30 seconds and wasting the first two actuations. Subsequent actuations are introduced into the testing device at five second intervals. Patient instructions do not include a recommendation to waste the first two actuations and recommend a delay of one minute between actuations. A series of experiments was performed to determine whether such differences might be important. METHODS--The total and "respirable" doses delivered by a salbutamol MDI (Ventolin, Allen & Hanburys) under various conditions were assessed with a multistage liquid impinger. The quantity of drug deposited on each stage was measured by an ultraviolet spectrophotometric method. The effect on the delivered dose of not shaking the canister, not wasting the first two doses, waiting 30 seconds between actuations, and using multiple rapid actuations was assessed by comparing the results with those obtained using the standard in vitro testing protocol. RESULTS--Compared with a standard protocol, it was found that not shaking the MDI before use reduced the total and "respirable" dose by 25.5% and 35.7%, respectively. The dose delivered when actuating the MDI at 30 second intervals was no different from that when intervals was no different from that when intervals of five seconds were used. Two actuations separated by one second had no effect on the total dose but reduced the "respirable" dose by 15.8%, while four rapid actuations reduced the total and "respirable" doses by 8.2% and 18.2%, respectively. Storing the MDI stem down reduced the total and "respirable" dose delivered in the first actuation by 25.0% and 23.3% despite shaking the MDI before use. CONCLUSIONS--MDIs containing drug in suspension must be shaken before use to resuspend the drug contained in the MDI, but shaking does not alter the composition of the suspension in the metering chamber and hence the dose in the first actuation remains low. Very rapid actuations can reduce the dose delivered per actuation, but salbutamol MDIs can be actuated immediately after a 10 second breath holding pause without affecting the dose delivered.
Automated MRI parcellation of the frontal lobe

Examination of associations between specific disorders and physical properties of functionally relevant frontal lobe sub‐regions is a fundamental goal in neuropsychiatry. Here, we present and evaluate automated methods of frontal lobe parcellation with the programs FreeSurfer(FS) and TOADS‐CRUISE(T‐C), based on the manual method described in Ranta et al. [2009]: Psychiatry Res 172:147‐154 in which sulcal‐gyral landmarks were used to manually delimit functionally relevant regions within the frontal lobe: i.e., primary motor cortex, anterior cingulate, deep white matter, premotor cortex regions (supplementary motor complex, frontal eye field, and lateral premotor cortex) and prefrontal cortex (PFC) regions (medial PFC, dorsolateral PFC, inferior PFC, lateral orbitofrontal cortex [OFC] and medial OFC). Dice's coefficient, a measure of overlap, and percent volume difference were used to measure the reliability between manual and automated delineations for each frontal lobe region. For FS, mean Dice's coefficient for all regions was 0.75 and percent volume difference was 21.2%. For T‐C the mean Dice's coefficient was 0.77 and the mean percent volume difference for all regions was 20.2%. These results, along with a high degree of agreement between the two automated methods (mean Dice's coefficient = 0.81, percent volume difference = 12.4%) and a proof‐of‐principle group difference analysis that highlights the consistency and sensitivity of the automated methods, indicate that the automated methods are valid techniques for parcellation of the frontal lobe into functionally relevant sub‐regions. Thus, the methodology has the potential to increase efficiency, statistical power and reproducibility for population analyses of neuropsychiatric disorders with hypothesized frontal lobe contributions. Hum Brain Mapp 35:2009–2026, 2014. © 2013 Wiley Periodicals, Inc.
Minimum distance estimation of mutational parameters for quantitative traits.

Individual spontaneous mutations affecting the expression of quantitative traits cannot be systematically identified and, therefore, their effect on the trait cannot be measured. Thus, the rate of occurrence of such mutations and the moments of the probability distribution of the corresponding effects, which are important in evolutionary studies, remain unknown. Here we propose a method to estimate those mutational properties from the observed distribution of the trait mean in a set of independent inbred lines (all derived from the same homozygous base population) in which mutations had been allowed to accumulate randomly. It is based on the use of the well-known minimum distance method, i.e., on the minimization of a distance between the observed distribution and that expected on the basis of a genetic model. We analyze data for three morphological traits (wing length and abdominal and sternopleural bristle number) in Drosophila melanogaster. The method appears to be powerful, giving evolutionary coherent estimates of relevant mutational properties that had not been estimated previously. For all traits, mutational rates were low (smaller than 0.05). Most mutations affecting wing length or abdominal bristle number and negative effect, while almost half of those affecting sternopleural bristle number had positive effect. For each trait, results obtained from data on different generations are in qualitative agreement, although mutational effects seem to depend on generation-specific environmental factors. The method detected between-trait differences in the kurtosis coefficient of the distribution of mutational effects, which varied from values close to that of the normal distribution (wing length) to relatively high values (sternopleural bristle number). It reveals that an important proportion of the mutational input variance of each trait is due to mutations with absolute effect smaller than 0.5 environmental standard deviation units. For morphological traits undergoing weak direct selection, this suggests that large amounts of genetic variance due to genes segregating at intermediate frequencies can be present at the equilibrium.
Mobile Network Supported Wireless Sensor Network Services

Wireless sensor networking research has been mainly focused on internal wireless sensor network issues such as MAC and routing protocols, energy saving, HW design and to some extent on the architecture of gateways that connect a wireless sensor network with the rest of the world. Wireless sensor networks have been seen as dedicated to one task by one owner. On the other hand, our research is focused on integration of wireless sensor networks into existing networks, primarily mobile ones, and provision of sensor based and/or enhanced services to remote users. Therefore, we have been working on designing an architecture that utilizes the existing infrastructure to interconnect independent wireless sensor networks and to provide data aggregation and actuator control services. In the proposed architecture, sensor networks (small or large, deployed for any purpose and by anyone) represented by their gateways are treated as leaf nodes hanging off a mobile or fixed network that use these networks to interact with remote and local users. Each gateway exposes the capabilities of its sensors, actuators and the sensor network as a whole. This information is used by sensor services middleware to query/command sensor ecosystems on behalf of applications and remote users interested in sensor measurements or actuator control. The details of the interaction between the gateways and its sensors/actuators are of no interest to the remote users. Further, we consider the whole wireless sensor networking landscape as an open market where the underlying mobile and fixed networks facilitate the interaction between the sensor networks and the consumers of the information they produce. Each sensor network is first of all a sensor information provider that offers specific sensor information defined by the type of available sensors and their spatial and temporal conditions to the interested users. Secondly, each sensor network provides actuation services that may potentially affect the information gathered by its sensors. Obviously, in such an environment, where many mobile users are acting as tiny information providers, service discovery, service composition, service provisioning and service authorization are very challenging problems. These problems are addressed in the proposed architecture by introducing a middle layer that aggregates information from all small information providers and provides higher level services to the end users. This layer provides the means to quickly add or remove sensors, actuators, sensor networks, sensor network providers, to modify and enhance the existing or add completely new services utilizing the underlying infrastructure. It could be thought of as a "plug-and-play" functionality for: (a) interconnecting different existing sensor networks; (b) adding new sensor networks which facilitate the expansion of the entire system; and (c) expanding the capability of individual sensor networks.