Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison study of hysteresis compensation of piezostage using feedforward combined with feedback control

Hysteresis is an undesired phenomenon which degrades the positioning precision of a piezostage. Therefore, the hysteresis suppression is required for accurate micro/nanopositioning applications. This paper conducts a comparison study of three different approaches for the hysteresis modeling and suppression. Bouc-Wen model is a typical approach used to describe hysteresis. As a revised version, asymmetric Bouc-Wen model is employed to combat some of its disadvantages. Relevance vector machine (RVM) hysteresis model is proposed to capture the hysteretic behavior by formulating the hysteresis modeling as an on-line nonlinear regression problem. Based on the three hysteresis models, a feedforward control is formulated to compensate for the hysteresis effects. Moreover, a sliding mode control (SMC) is applied as the feedback controller to regulate the remaining errors. The feasibility and effectiveness of the proposed approaches are verified through experimental studies.
Psychological Disorders and Distress After Adult Cardiothoracic Transplantation

This review summarizes and integrates evidence concerning mental health outcomes following heart, lung, and heart-lung transplantation. Drawing on English-language case reports and empirical studies published between January 1980 and December 2004, the goals of the review were to (a) describe the prevalence and clinical characteristics of psychological disorders, as well as the level and pattern of clinically significant distress in the years posttransplant; (b) review the major risk factors for poor posttransplant psychological outcomes; (c) consider evidence suggesting that posttransplant psychological outcomes predict physical morbidity and mortality after transplant; (d) summarize findings from intervention studies designed to improve posttransplant psychological outcomes; and (e) provide patient care recommendations for the practicing clinician and recommendations for continued clinical research. Several major conclusions can be drawn from this literature. First, depressive and anxiety-related disorders and associated distress are common posttransplant. While new onsets of disorder may decline after the first year posttransplant, the development of new medical complications in the late years posttransplant may provoke renewed distress and recurrences of disorder. Second, risk factors for posttransplant psychological disorders and elevated distress include both standard risk factors observed in other populations (eg, younger age, lifetime history of psychiatric disorder) and transplant-specific factors related to physical functional impairments, social supports, and strategies for coping with health problems. Third, while little evidence has been published to date, there is some indication that posttransplant psychological outcomes can predict subsequent physical health outcomes. Fourth, extremely few intervention studies in cardiothoracic transplant recipients have been performed. The few reports indicate that multicomponent psychosocial strategies focused on risk factor reduction and enhancement of personal coping resources may lead to reductions in psychological distress. An important caveat in considering all of the evidence reviewed is that most studies focus on heart rather than lung or heart-lung recipients. Recommendations for practicing clinicians focus on assessment and treatment options, based on the evidence to date. Research recommendations focus on the need for intervention effectiveness studies.
Use of 19F-nuclear magnetic resonance and gas chromatography-electron capture detection in the quantitative analysis of fluorine-containing metabolites in urine of sevoflurane-anaesthetized patients

1. The use of fluorine-19 nuclear magnetic resonance (19F-NMR) and gas chromatography-electron capture detection (GC-ECD) in the analysis of fluorine-containing products in the urine of sevoflurane-exposed patients was explored. 2. Ten patients were anaesthetized by sevoflurane for 135–660 min at a flow rate of 6 l min−1. Urine samples were collected before, directly after and 24 h after discontinuation of anaesthesia. 3. 19F-NMR analysis of the urines showed the presence of several fluorine-containing metabolites. The main oxidative metabolite, hexafluoroisopropanol (HFIP)-glucuronide, showed two strong quartet signals in the 19F-NMR spectrum. HFIP concentrations after β-glucuronidase treatment were quantified by 19F-nuclear magnetic resonance. Concentrations directly after and 24 h after discontinuation of anaesthesia were 131 ± 41 (mean ± SEM) and 61 ± 19 mol mg−1 creatinine, respectively. Urinary HFIP excretions correlated with sevoflurane exposure. 4. Longer scanning times enabled the measurement of signals from two compound A-derived metabolites, i.e. compound A mercapturic acid I (CAMA-I) and compound A mercapturic acid II (CAMA-II), as well as products from β-lyase activation of the respective cysteine conjugates of compound A. The signals of the mercapturic acids, 3,3,3-trifluoro-2-(fluoromethoxy)-propanoic acid and 3,3,3-trifluorolactic acid were visible after combining and concentrating the patient urines. CAMA-I and -II excretions in patients were completed after 24 h. 5. Since 19F-nuclear magnetic resonance is not sensitive enough, urinary mercapturic acids concentrations were quantified by gas chromatography-electron capture detection. CAMA-I and -II urinary concentrations were 2.3 ± 0.7 and 1.4 ± 0.4 mol mg−1 creatinine, respectively. Urinary excretion of CAMA-I showed a correlation with sevoflurane exposure, whereas CAMA-II did not. 6. The results show that 19F-nuclear magnetic resonance is a very selective and convenient technique to detect and quantify HFIP in non-concentrated human urine. 19F-nuclear magnetic resonance can also be used to monitor the oxidative biotransformation of sevoflurane in anaesthetized patients. Compound A-derived mercapturic acids and 3,3,3-trifluoro-2-(fluoromethoxy)-propanoic acid and 3,3,3-trifluorolactic acid, however, require more sensitive techniques such as gas chromatography-electron capture detection and/or gas chromatography-mass spectrometry for quantification.
Lower microstructural integrity of brain white matter is related to higher mortality

Objective: To investigate the association of cerebral white matter microstructural integrity with mortality. Methods: We included 4,294 individuals, free from stroke and dementia (mean age 63.6 years, 44% male) from the population-based Rotterdam Study (2006–2011). Diffusion-MRI was used to assess the microstructural integrity of the white matter, both globally and for specific white matter tracts. Fractional anisotropy and mean diffusivity were the measures used to quantify white matter integrity. All-cause mortality and cause-specific mortality was recorded with a median follow-up time of 5.4 and 4.6 years, respectively. Cox regression models, adjusted for age, sex, APOE ε4 allele carriership, cardiovascular risk factors, and macrostructural MRI changes, were used to estimate hazard ratios. Results: During the follow-up time, 216 participants (5.0%) died of all causes, 31 (0.7%) of cardiovascular causes, and 102 individuals (2.4%) died of noncardiovascular causes. Each SD decrease in fractional anisotropy and each SD increase in mean diffusivity was associated with a 1.37-fold (95% confidence interval: 1.20–1.57) and a 1.49-fold (95% confidence interval: 1.28–1.75) higher hazard of all-cause mortality, respectively. The associations were more prominent with cardiovascular mortality than with noncardiovascular mortality. In tract-specific analyses, we observed that association tracts were more prominently related to mortality. Conclusions: Our findings suggest that impairments in cerebral white matter, even at early stages, are not limited to adverse brain outcomes and they are related to mortality, especially from cardiovascular causes.
A new automatic device for routine cord blood banking: critical analysis of different volume reduction methodologies.

BACKGROUND AIMS Volume reduction is the usual process in cord blood banking that has some advantages regarding reducing the storage space and dimethyl sulfoxide (DMSO) quantity in the final product. The volume reduction methodology must guarantee high cell recovery and red blood cell (RBC) depletion by reducing all the umbilical cord blood (UCB) units to a standard volume. METHODS We analyzed and compared critically three different volume reduction methods [hydroxyethylstarch (HES), top and bottom with Optipress II and Compomat G4, and AXP] used at the Valencia Cord Blood Bank over 10 years. RESULTS The highest significant RBC depletion was achieved with the AXP system (P<0.001), while the top and bottom system with Compomat G4 and an adjusted buffy coat (BC) volume to 41 mL enabled the best total nucleated cell (TNC) recovery (P<0.001). TNC recovery and RBC depletion were similar for AXP and HES with an adjusted volume to 21 mL. In the multivariate analysis, when analyzing all cases, the BC volume set significantly influenced TNC, CD34+ and lymphocyte recoveries and RBC depletion (P<0.001). RBC depletion was significantly influenced by the initial volume and initial RBC content of UCB units (P<0.001). CONCLUSIONS AXP is a highly efficient method for RBC depletion, providing the same TNC recovery as HES method with a final volume of 41 mL. AXP has the advantages of being an automatic and functionally closed system that shortens and better standardizes the proceedings. Top and bottom is a closed system that allows better TNC recoveries when the BC volume set is 41 mL.
Rapid tissue oxygen tension mapping using 19F inversion‐recovery echo‐planar imaging of P erfluoro‐15 ‐crown‐5‐ether

Fluorine‐19 inversion‐recovery, echo‐planar imaging (IR‐EPI) wais used in conjunction with a new PFC emulsion, perfluoro‐15‐crown‐5‐ether, to map the spatial distribution of oxygen tension in murine liver, spleen and radiation induced fibrosarcoma (RIF‐1) tumors. Intravenously administered PFC emulsions were allowed to sequester in the liver, spleen, and tumor 3 to 7 days prior to imaging experiments. Seven, 64 × 64 IR‐EPls were acquired with successively increasing inversion times (TI). A nonlinear least‐squares regression algorithm was used to fit the seven two‐dimensional matrices, on a pixel‐by‐pixel basis, to solve for the relaxation rate, R1, of the sequestered PFC. From in vitro calibration curves, the oxygen tension (pO2,) was calculated from the measured R1. Oxygen tension maps were then murine liver and spleen were produced (in 2.5 min) to demonstrate the technique and changes in tissue oxygenation as a function of breathing gas (air and carbogen (95% O2 ‐ 5% CO2)) are presented. Tissue pO2 maps from RIF‐1 tumors (n = 5) were obtained in less than 10 min and changes in tumor pO2 were studied when the breathing gals was switched from air to carbogen. The results from tumor pO2 maps were compared with 19F MR spectroscopy measurements to check for consistency. Histogram analysis yielded an average liver and spleen pO2 of 43 torr and 26 torr for RIF‐1 tumors when the animals were breathing air. Statistically significant changes in tumor oxygenation as a function of breathing gas were obtained from both pO2 maps (6 ± 2 torr, P < 0.05) and 19F MR spectroscopy (13 ± 3 torr, P < 0.01) as evaluated using the Student's paired t test.
Publication Bias and Nonreporting Found in Majority of Systematic Reviews and Meta-analyses in Anesthesiology Journals

BACKGROUND:Systematic reviews and meta-analyses are used by clinicians to derive treatment guidelines and make resource allocation decisions in anesthesiology. One cause for concern with such reviews is the possibility that results from unpublished trials are not represented in the review findings or data synthesis. This problem, known as publication bias, results when studies reporting statistically nonsignificant findings are left unpublished and, therefore, not included in meta-analyses when estimating a pooled treatment effect. In turn, publication bias may lead to skewed results with overestimated effect sizes. The primary objective of this study is to determine the extent to which evaluations for publication bias are conducted by systematic reviewers in highly ranked anesthesiology journals and which practices reviewers use to mitigate publication bias. The secondary objective of this study is to conduct publication bias analyses on the meta-analyses that did not perform these assessments and examine the adjusted pooled effect estimates after accounting for publication bias. METHODS:This study considered meta-analyses and systematic reviews from 5 peer-reviewed anesthesia journals from 2007 through 2015. A PubMed search was conducted, and full-text systematic reviews that fit inclusion criteria were downloaded and coded independently by 2 authors. Coding was then validated, and disagreements were settled by consensus. In total, 207 systematic reviews were included for analysis. In addition, publication bias evaluation was performed for 25 systematic reviews that did not do so originally. We used Egger regression, Duval and Tweedie trim and fill, and funnel plots for these analyses. RESULTS:Fifty-five percent (n = 114) of the reviews discussed publication bias, and 43% (n = 89) of the reviews evaluated publication bias. Funnel plots and Egger regression were the most common methods for evaluating publication bias. Publication bias was reported in 34 reviews (16%). Thirty-six of the 45 (80.0%) publication bias analyses indicated the presence of publication bias by trim and fill analysis, whereas Egger regression indicated publication bias in 23 of 45 (51.1%) analyses. The mean absolute percent difference between adjusted and observed point estimates was 15.5%, the median was 6.2%, and the range was 0% to 85.5%. CONCLUSIONS:Many of these reviews reported following published guidelines such as PRISMA or MOOSE, yet only half appropriately addressed publication bias in their reviews. Compared with previous research, our study found fewer reviews assessing publication bias and greater likelihood of publication bias among reviews not performing these evaluations.
Genetics of Posttraumatic Stress Disorder

ABSTRACT Posttraumatic stress disorder (PTSD) is a prevalent anxiety disorder marked by behavioral, physiologic, and hormonal alterations. PTSD is disabling and commonly follows a chronic course. The etiology of PTSD is unknown, although exposure to a traumatic event constitutes a necessary, but not sufficient, factor. A twin study of Vietnam veterans has shown significant genetic contribution to PTSD. The fact that PTSD's underlying genotypic vulnerability is only expressed following trauma exposure limits the usefulness of family-based linkage approaches. In contrast to the other major psychiatric disorders, large studies for the search of underlying genes have not been described in PTSD to date. Complementary approaches for locating involved genes include association-based studies employing case-control or parental genotypes for transmission dysequilibrium analysis and quantitative trait loci studies in animal models. Identification of susceptibility genes will increase our understanding of traumatic stress disorders and help to elucidate their molecular basis. The current review provides an up-to-date outline of progress in the field of PTSD.
In Vivo Kinematics for Fixed and Mobile-Bearing Posterior Stabilized Knee Prostheses

This is the first in vivo kinematic study to compare mobile-bearing with fixed-bearing prostheses in patients who had total knee arthroplasties. Femorotibial contact positions for 40 patients implanted with either a fixed-bearing or mobile-bearing prosthesis were analyzed using videofluoroscopy. Femorotibial contact paths were determined using a computer automated model-fitting technique. Nineteen of 20 patients in each group experienced posterior femoral rollback of their lateral condyles, with a mean of 3.6 and 3.7 mm for fixed-bearing and mobile-bearing prostheses respectively. Eighteen patients who had mobile-bearing prostheses and 17 patients with fixed-bearing knee prostheses experienced a normal pattern of axial rotation of 7.3° and 4.1° respectively. Eleven of 20 (55%) patients who had mobile-bearing prostheses implanted and eight of 20 (40%) patients who had fixed-bearing prostheses implanted did not experience femoral condylar lift-off. The remaining knees had condylar lift-off less than 2.4 mm for fixed-bearing prostheses and 1.7 mm for mobile-bearing prostheses, respectively. Patients who had mobile-bearing prostheses implanted experienced greater axial rotation and less condylar lift-off than patients who had fixed-bearing prostheses implanted. Both cruciate ligaments are sacrificed for the mobile and fixed-bearing total knee replacements. The results from the current study showed that, in both groups, the majority of patients experienced kinematics similar to those of a normal knee. However, the extent of lateral femoral condyle posterior rollback and the extent of axial rotation were less.
Vector space model for patent documents with hierarchical class labels

A vector space model (VSM) composed of selected important features is a common way to represent documents, including patent documents. Patent documents have some special characteristics that make it difficult to apply traditional feature selection methods directly: (a) it is difficult to find common terms for patent documents in different categories; and (b) the class label of a patent document is hierarchical rather than flat. Hence, in this article we propose a new approach that includes a hierarchical feature selection (HFS) algorithm which can be used to select more representative features with greater discriminative ability to present a set of patent documents with hierarchical class labels. The performance of the proposed method is evaluated through application to two documents sets with 2400 and 9600 patent documents, where we extract candidate terms from their titles and abstracts. The experimental results reveal that a VSM whose features are selected by a proportional selection process gives better coverage, while a VSM whose features are selected with a weighted-summed selection process gives higher accuracy.
Producing Speech with a Newly Learned Morphosyntax and Vocabulary: An Magnetoencephalography Study

Ten participants learned a miniature language (Anigram), which they later employed to verbally describe a pictured event. Using magnetoencephalography, the cortical dynamics of sentence production in Anigram was compared with that in the native tongue from the preparation phase up to the production of the final word. At the preparation phase, a cartoon image with two animals prompted the participants to plan either the corresponding simple sentence (e.g., “the bear hits the lion”) or a grammar-free list of the two nouns (“the bear, the lion”). For the newly learned language, this stage induced stronger left angular and adjacent inferior parietal activations than for the native language, likely reflecting a higher load on lexical retrieval and STM storage. The preparation phase was followed by a cloze task where the participants were prompted to produce the last word of the sentence or word sequence. Production of the sentence-final word required retrieval of rule-based inflectional morphology and was accompanied by increased activation of the left middle superior temporal cortex that did not differ between the two languages. Activation of the right temporal cortex during the cloze task suggested that this area plays a role in integrating word meanings into the sentence frame. The present results indicate that, after just a few days of exposure, the newly learned language harnesses the neural resources for multiword production much the same way as the native tongue and that the left and right temporal cortices seem to have functionally different roles in this processing.
Compact, narrow bandwidth, lumped element bandstop resonators

This letter describes the design and simulation of novel, highly compact, lumped element bandstop resonators. The resonators are fabricated using copper microstrip lines, with resonant frequencies around 5GHz but with areas of only 1.075mm /spl times/ 1.275mm. Each resonator consists of 8 interdigital capacitive fingers in parallel with a straight line inductor. The new design offers at least a 40% size reduction compared with similar resonators , . Furthermore, adjustment of the input and output feed line geometries enables resonator tuning at the design stage over a bandwidth of approximately 100MHz. The measured characteristics show good agreement with the simulated responses. Ultimate performance of this type of bandstop resonator is achieved using superconducting thin films, and to conclude a 20-finger, superconducting resonator (of area 1mm /spl times/ 0.41mm) is described and simulated.
A hierarchical attention based model for off-topic spontaneous spoken response detection

Automatic spoken language assessment and training systems are becoming increasingly popular to handle the growing demand to learn languages. However, current systems often assess only fluency and pronunciation, with limited content-based features being used. This paper examines one particular aspect of content-assessment, off-topic response detection. This is important for deployed systems as it ensures that candidates understood the prompt, and are able to generate an appropriate answer. Previously proposed approaches typically require a set of prompt-response training pairs, which limits flexibility as example responses are required whenever a new test prompt is introduced. Recently, the attention based neural topic model (ATM) was presented, which can assess the relevance of prompt-response pairs regardless of whether the prompt was seen in training. This model uses a bidirectional Recurrent Neural Network (BiRNN) embedding of the prompt combined with an attention mechanism to attend over the hidden states of a BiRNN embedding of the response to compute a fixed-length embedding used to predict relevance. Unfortunately, performance on prompts not seen in the training data is lower than on seen prompts. Thus, this paper adds the following contributions: several improvements to the ATM are examined; a hierarchical variant of the ATM (HATM) is proposed, which explicitly uses prompt similarity to further improve performance on unseen prompts by interpolating over prompts seen in training data given a prompt of interest via a second attention mechanism; an in-depth analysis of both models is conducted and main failure mode identified. On spontaneous spoken data, taken from BULATS tests, these systems are able to assess relevance to both seen and unseen prompts.
DC-DC nonisolated boost converter with high voltage gain adequate for split-capacitor inverter applications

This paper presents a dc-dc boost converter with high voltage gain based on three-state switching cell for split-capacitor neutral-point clamped inverters. The proposed converter is analyzed considering the operation in continuous conduction mode and duty cycle higher than 0.5, which corresponds to overlapping mode. The main characteristics of the topology are: operation at high switching frequency, while the input inductor is designed for twice such frequency; in order to minimize weight and volume, the voltage stress across the switches is lower than half of the output voltage and naturally clamped by one output capacitor, allowing the use of transistors MOSFETs with reduced intrinsic on-resistance; the input current presents small ripple; the output voltage can be further step up by increasing the transformer turns ratio without compromising the voltage stress across the switches; the output voltage is balanced thus making the converter suitable for supplying split-capacitor inverters. Several topologies where high voltage step up is possible are initially investigated in literature. Then the principle of operation, the design methodology, and experimental results for a 1kW prototype are presented to validate the theoretical analysis and demonstrate the converter performance.