Miracle-dz/UniFAR-FTUs huggingface dataset:
Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Semantic Visualization with Neighborhood Graph Regularization Semantic Visualization with Neighborhood Graph Regularization

Visualization of high-dimensional data, such as text documents, is useful to map out the similarities among various data points. In the high-dimensional space, documents are commonly represented as bags of words, with dimensionality equal to the vocabulary size. Classical approaches to document visualization directly reduce this into visualizable two or three dimensions. Recent approaches consider an intermediate representation in topic space, between word space and visualization space, which preserves the semantics by topic modeling. While aiming for a good ﬁt between the model parameters and the observed data, previous approaches have not considered the local consistency among data instances. We consider the problem of semantic visualization by jointly modeling topics and visualization on the intrinsic document manifold, modeled using a neighborhood graph. Each document has both a topic distribution and visualization coordinate. Speciﬁcally, we propose an unsupervised probabilistic model, called Semafore , which aims to preserve the manifold in the lower-dimensional spaces through a neighborhood regularization framework designed for the semantic visualization task. To validate the eﬃcacy of Semafore , our comprehensive experiments on a number of real-life text datasets of news articles and Web pages show that the proposed methods outperform the state-of-the-art baselines on objective evaluation metrics.
Hierarchical thermal network analysis of axial-flux permanent-magnet synchronous machine for electric motorcycle

A novel 24 kW 12-slots/10-poles axial-flux permanent-magnet synchronous machine (AFPMSM) with external rotor motor applied to the large electric motorcycle is introduced in this study, which has the characteristics of the yokeless and segmented armature for power density improvement. The hierarchical method is used for calculation of stator iron core loss based on the analytical solution of air-gap flux density, which cuts the prototype into many equivalent linear motor slices in the circumferential direction. A major advantage of hierarchical methods over traditional iron core loss calculation is its higher accuracy and rapidity. Then a lumped parameter T-type thermal network model is presented for AFPMSM temperature rise calculation. A 3D liquid-solid coupling model is compared with the 2D T-type lumped parameter thermal network. Finally, a temperature rise measurement platform is established to verify the above-mentioned methods. Testing result shows that the hierarchical method and T-type thermal network have a higher accuracy to predict each part temperature.
REPORT Identifying the ischaemic penumbra using pH-weighted magnetic resonance imaging

The original concept of the ischaemic penumbra suggested imaging of regional cerebral blood ﬂow and metabolism would be required to identify tissue that may beneﬁt from intervention. Amide proton transfer magnetic resonance imaging, a chemical exchange saturation transfer technique, has been used to derive cerebral intracellular pH in preclinical stroke models and has been proposed as a metabolic marker of ischaemic penumbra. In this proof of principle clinical study, we explored the potential of this pH-weighted magnetic resonance imaging technique at tissue-level. Detailed voxel-wise analysis was performed on data from a prospective cohort of 12 patients with acute ischaemic stroke. Voxels within ischaemic core had a more severe intracellular acidosis than hypoperfused tissue recruited to the ﬁnal infarct ( P 5 0.0001), which in turn was more acidotic than hypoperfused tissue that survived ( P 5 0.0001). In addition, when conﬁned to the grey matter perfusion deﬁcit, intracellular pH ( P 5 0.0001), but not cerebral blood ﬂow ( P = 0.31), differed between tissue that infarcted and tissue that survived. Within the presenting apparent diffusion coefﬁcient lesion, intracellular pH differed between tissue with early apparent diffusion lesion pseudonormalization and tissue with true radiographic recovery. These ﬁndings support the need for further investigation of pH-weighted imaging in patients with acute ischaemic stroke.
The portable glostavent: Speed of assembly and successful ventilation for naive operators

The increasing interest in,and opportunities for, global anesthesia outreach have revealed a need for familiarity with medications, anesthesia techniques, and anesthesia delivery systems often never before encountered by first world anesthesiologists. A medical mission trip may be the first time an anesthesiologist handles a specific type of anesthesia delivery system, which is often rudimentary and may be in a state of disrepair. These life sustaining devices may be apt to malfunction; this propensity is especially dependent on the resources inherent to the local environment and can lead to potentially disastrous and unsafe events. The draw-over anesthesia technique is ideally suited for such environments because of its simple and safe design. The objective of our study was to determine whether anesthesiologists without previous experience using a portable version of the Glostavent (GV, Diamedica Ltd, Barnstaple, United Kingdom), could use the manufacturer’s instructions to assemble the device and successfully ventilate a mannequin in a simulation scenario. Our study demonstrates that a novel draw-over anesthesia machine could use the manufacturer’s instructions to assemble the device and successfully ventilate a mannequin in a simulation scenario. Our hypothesis was that naïve operators, after a 10 minute self-training period, would be able to accomplish the task. Twenty nine of thirty participants (resident and attending anesthesiologists) were able to assemble the machine and successfully ventilate the mannequin within the ten minute test period. The results of our study demonstrate that this novel draw-over anesthesia machine can be easily assembled and its use learned by anesthesiologists who have never seen such a device before. These results suggest that this simple suitcase anesthesia machine is a worthy investment, especially for anesthesiologists who plan to participate in outreach anesthesia.
Effect of combined hip and knee exercises on rehabilitation after total knee arthroplasty: A prospective randomized trial

Background: To explore the clinical effect of combined hip–knee joint exercise compared with traditional postoperative rehabilitation after total knee arthroplasty (TKA). Methods: In a prospective, single-blind randomized controlled trial, 60 female patients with osteoarthritis who underwent unilateral TKA were randomly divided into three groups: a resistive intervention group, a nonresistive intervention group and a control group. Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) values, Forgotten Joint Score (FJS)-12 values, isokinetic muscle strength, and gait test results were measured and recorded preoperatively, two weeks postoperatively and three months postoperatively. Results: With the preoperative evaluation as baseline, the resistive hip–knee joint exercise group had lower functional scores and stronger quadriceps femoris and hip abductor muscles than the nonresistive group (p<0.05 for both). Both hip–knee exercise groups had stronger quadriceps femoris, hip abductor and hip rotator muscles than the control group (p<0.05). Two weeks postoperatively, both hip–knee strength training groups had lower functional scores than the control group (p<0.05) but stronger quadriceps femoris and external hip rotator muscles (p<0.05). Preoperative and 2-week postoperative gait analysis revealed that combined hip–knee strengthening could increase step length (p<0.05) and the ability to stand on the affected limb (p<0.05). Conclusion: A 12-week regimen of combined hip–knee exercises could improve the function of the affected limb after TKA, the movement patterns of the knee joint during gait, and the therapeutic effect of TKA and accelerate patients’ rehabilitation. The effect of combined hip–knee exercises positively correlated with increases in exercise load.
Cellular Automata-based Wear Leveling in Resistive Memory

—Due to spatial locality of reference , repetitive writes cause stress to few contiguous cache memory blocks. If the underlying technology is resistive memory, those blocks suffer with endurance problem and wear out at much faster rate than NAND/NOR Flash memories ( 10 5 to 10 6 program/erase cycles). In CMPs cache memory, uneven distribution of writes and/or malicious attacks cause system failures due to repetitive writes on a particular memory block. To avoid wear out of memory cells at premature stage, writes are distributed through wear leveling schemes. This work reports an efﬁcient scheme of wear leveling in resistive memory using the concept of Cellular Automata ( CA ). Probably this is a unique effort of wear leveling, using Von Neuman’s concept of cellular automata, that targets to make uniform writes throughout all memory blocks with spatial access pattern predictions . The contiguous write-stressed memory blocks are deﬁned as a zone subjected to remapping. Two stage hierarchical Periodic Boundary Cellular Automata ( PBCA ) is used to perform Density Classiﬁcation Task (DCT) to select the cache zone (remapping candidates). Thereafter, identiﬁed memory blocks are remapped to new addresses by an algebraic technique. This access aware write management policy can be worked along with fault tolerant design for implementation of a robust memory subsystem.
Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Jackknifing Bond Option Prices Jackknifing Bond Option Prices

Prices of interest rate derivative securities depend crucially on the mean reversion parameters of the underlying diffusions. These parameters are subject to estimation bias when standard methods are used. The estimation bias can be substantial even in very large samples and much more serious than the discretization bias, and it translates into a bias in pricing bond options and other derivative securities that is important in practical work. This article proposes a very general and computationally inexpensive method of bias reduction that is based on Quenouille’s (1956; Biometrika, 43, 353–360) jackknife. We show how the method can be applied directly to the options price itself as well as the coefficients in the models. We investigate its performance in a Monte Carlo study. Empirical applications to U.S. dollar swap rates highlight the differences between bond and option prices implied by the jackknife procedure and those implied by the standard approach. These differences are large and suggest that bias reduction in pricing options is important in practical applications.
Validation of PPG-Based Sleep Staging—Fonseca et al. Validation of Photoplethysmography-Based Sleep Staging Compared With Polysomnography in Healthy Middle-Aged Adults

Study Objectives: To compare the accuracy of automatic sleep staging based on heart rate variability measured from photoplethysmography (PPG) combined with body movements measured with an accelerometer, with polysomnography (PSG) and actigraphy. Methods: Using wrist-worn PPG to analyze heart rate variability and an accelerometer to measure body movements, sleep stages and sleep statistics were automatically computed from overnight recordings. Sleep–wake, 4-class (wake/N1 + N2/N3/REM) and 3-class (wake/NREM/REM) classifiers were trained on 135 simultaneously recorded PSG and PPG recordings of 101 healthy participants and validated on 80 recordings of 51 healthy middle-aged adults. Epoch-by-epoch agreement and sleep statistics were compared with actigraphy for a subset of the validation set. Results: The sleep–wake classifier obtained an epoch-by-epoch Cohen’s κ between PPG and PSG sleep stages of 0.55 ± 0.14, sensitivity to wake of 58.2 ± 17.3%, and accuracy of 91.5 ± 5.1%. κ and sensitivity were significantly higher than with actigraphy (0.40 ± 0.15 and 45.5 ± 19.3%, respectively). The 3-class classifier achieved a κ of 0.46 ± 0.15 and accuracy of 72.9 ± 8.3%, and the 4-class classifier, a κ of 0.42 ± 0.12 and accuracy of 59.3 ± 8.5%. Conclusions: The moderate epoch-by-epoch agreement and, in particular, the good agreement in terms of sleep statistics suggest that this technique is promising for long-term sleep monitoring, although more evidence is needed to understand whether it can complement PSG in clinical practice. It also offers an improvement in sleep/wake detection over actigraphy for healthy individuals, although this must be confirmed on a larger, clinical population. performance of most of these devices remains unpublished. We evaluated the sleep annotation performance of a wrist-worn photoplethysmography device in a population of healthy middle-aged adults. Further validation is needed for other age groups and sleep pathologies. evaluate the epoch-by-epoch classification agreement with ground-truth annotations from PSG. A Wilcoxon signed-rank test was used to compare the performance obtained with actigraphy and with PPG.
Detecting Rumors from Blogging Sites using Recurrent Neural Networks

: Now a days false claims and rumors are been spreading very widely through the social media which may affect people perspective and may also lead some harm. This rumors are mainly growing faster through the twitter platform which is essential to classify or detect the posted news is a true incident or just a rumor. In our proposed model we are using Machine learning and deep learning techniques to classify the posted news was a rumor or not. Here, we are using Naive Bayes, Support Vector Machine (SVM) and Logistic Regression models from the machine learning and Neural Network from the deep learning. The classification is performed on the stance that was possessed by the tweet. Those stance are divided into four categories, named as supporting, deny, query and commenting. We will use this categories for our classification using the mentioned machine and deep learning techniques and predict the accuracies of each model we are using. At final, we are comparing the accuracies of each model we are using that which can be used further for the detection of the rumor.
Docking for fragment inhibitors of AmpC (cid:1) -lactamase

Fragment screens for new ligands have had wide success, notwithstanding their constraint to libraries of 1,000–10,000 molecules. Larger libraries would be addressable were molecular docking reliable for fragment screens, but this has not been widely ac-cepted. To investigate docking’s ability to prioritize fragments, a library of > 137,000 such molecules were docked against the structure of (cid:1) -lactamase. Forty-eight fragments highly ranked by docking were acquired and tested; 23 had K i values ranging from 0.7 to 9.2 mM. X-ray crystal structures of the enzyme-bound complexes were determined for 8 of the fragments. For 4, the correspondence between the predicted and experimental structures was high (RMSD between 1.2 and 1.4 Å), whereas for another 2, the ﬁdelity was lower but retained most key interactions (RMSD 2.4–2.6 Å). Two of the 8 fragments adopted very different poses in the active site owing to enzyme conformational changes. The 48% hit rate of the fragment docking compares very favorably with ‘‘lead-like’’ docking and high-throughput screening against the same enzyme. To understand this, we investigated the occurrence of the fragment scaffolds among larger, lead-like molecules. Approximately 1% of commercially available fragments contain these inhibitors whereas only 10 (cid:2) 7 % of lead-like molecules do. This suggests that many more chemotypes and combinations of chemotypes are present among fragments than are available among lead-like molecules, contributing to the higher hit rates. The ability of docking to prioritize these fragments suggests that the technique can to exploit the better chemotype coverage that exists at the fragment level.
Analytical Calculation of Proximity-Effect Resistance for Planar Coil With Litz Wire and Ferrite Plate in Inductive Power Transfer

Planar coils are popularly used in inductive power transfer applications. The coils’ efficiency is improved with litz wire by eliminating the winding's skin-effect loss, but the proximity-effect loss still needs to be considered. To calculate the proximity-effect resistance, the magnetic fields across the windings are required. During the coils’ optimization process, numerical methods of field calculation are too time-consuming due to the parametric sweep of physical parameters. The analytical calculation of the magnetic field is preferred in this scenario, but it becomes complex with the existence of the ferrite plate, which is used to increase the coils’ coupling. In this paper, the method of image is applied to simplify the analytical calculation, in which the magnetic fields across the windings are derived from Ampere's law and Biot–Savart law. The proximity-effect resistance is then calculated with these fields. The study also proves that the size of the ferrite plate has negligible influence on the proximity-effect resistance as long as it is larger than the size of the winding. A planar coil was fabricated and measured to verify the analytical calculation of the proximity-effect resistance, using litz wire composed of 100 strands with 0.1 mm diameter. A square plate of 3C96 ferrite with the dimensions of 100 mm × 100 mm × 5 mm was placed below the winding. The difference between calculation and measurement is less than 15%.
62–92 GHz low-noise transformer-coupled LNA in 90-nm CMOS

A 69–92 GHz wideband low-noise amplifier (LNA) in a 90-nm CMOS process is presented. A transformer-based shunt-series feedback is designed to achieve a broad input matching and minimum noise figure (NF) simultaneously. Interstage matching is achieved by the on-chip transformer. The proposed four-stage common-source LNA achieves a wide 3-dB bandwidth of 23 GHz, a peak gain of 7.6 dB at 76 GHz, a minimum NF of 6.6 dB at 80 GHz, and an input 1-dB compression point of −7 dBm. The circuit occupies an area of 0.675 × 0.87 mm2 and consumes 11.3 mW under a 1.2 V supply.
Notes on Lower Palaeozoic flysch trace fossils from Hall Land and Peary Land, North Greenland

Sevenichnospecies are recorded from the Cambrian to Silurian turbidite succession of North Greenland.Two specimens are of particular importance as they provide new data on the palaeoenvironmental and stratigraphic range of their con tained traces. Protopaleodictyon sp. is recorded for the first time from the Cambrian. The occurrence of Rhizocorallium sp. in deep basinal turbidites extends its occurrence in such en vironments back to the Ordovician and emphasises that cau tion must be exercised when utilizing the trace as an environ-mental indicator.
Molecular Determinants of Adaptation of Highly Pathogenic Avian Inﬂuenza H7N7 Viruses to Efﬁcient Replication in the Human Host (cid:1)

Two viruses isolated during the highly pathogenic avian inﬂuenza (HPAI) H7N7 virus outbreak in The Netherlands in 2003, one isolated from a person with conjunctivitis and one from a person who died as the result of infection, were used for an in vitro study of inﬂuenza A virus pathogenicity factors. The two HPAI H7N7 viruses differed in 15 amino acid positions in ﬁve gene segments. Assays were designed to investigate the role of each of these substitutions in attachment and entry, transcription and genome replication, and virus production and release as determined by hemagglutinin (HA), polymerase proteins, nonstructural protein 1 (NS1), and neuraminidase (NA). These in vitro studies conﬁrmed the roles of the E627K substitution in basic polymerase 2 (PB2) and the A143T substitution in HA in pathogenicity observed in a mouse model previously. However, the in vitro studies identiﬁed a contribution of acidic polymerase (PA) and NA to the efﬁcient replication in human cells of the fatal case virus, despite the fact that these are rarely marked as determinants of pathogenicity in in vivo studies. With the exception of PB2 E627K, all substitutions contributing to enhanced
CIA_A_287373 245..255

1Department of Biostructure, University School of Physical Education in Wroclaw, Wrocław, Poland; 2Department of Medical and Technical Sciences, Karkonosze State University of Applied Sciences, Jelenia Góra, Poland Purpose: The aim of this research was to assess the correlations between the impedance components and the appendicular skeletal muscle strength and functional quality indices in older adults. The use of the impedance parameters as potential identifiers characterizing the functional state of muscles could improve methods of monitoring “healthy ageing”. Patients and Methods: A total of 346 subjectively healthy adults aged 50–83 years were subjected to tests. Body mass and height, hand grip strength and knee extensor strength were measured. Resistance, reactance and phase angle were measured using the bioelectrical impedance method. The relationship between the impedance parameters and the appendicular skeletal muscle strength and quality indices was evaluated using stepwise multiple regression. Results: Participants aged ≥65 years were found to be characterized by lower values of the impedance parameters and the appendicular skeletal muscle strength and functional quality indices than participants 10 years younger. In both groups of sexes, the relative percentage differences in limb strength between the age groups were 3–6 times greater than the differences in appendicular skeletal muscle mass. Significant regression models for muscle strength and quality, with strong age, sex and reactance prediction and a weaker phase angle effect, were obtained. Conclusion: The impedance components explain the part of changes in muscle strength which is independent of the decline in skeletal muscle mass. Phase angle and reactance can be suitable for diagnosing and preventing dangers connected with the decline in muscle quality, but it is necessary to establish their normalized reference values for older adults.
Process Knowledge in the Innovation-Decision Period Process Knowledge in the Innovation-Decision Period

Current diffusion of innovations theory states that knowledge is a key first stage in the adoptive process of an innovation. However, the fact that different types of knowledge may be relevant to different adopter categories does not appear to have been investigated. In this study, the concept of process knowledge is introduced into the adoptive process of an innovation. The study object was digital terrestrial television (DTT). Data were gath- ered at eight data gathering points in an 18-month study period. Three different types of process knowledge were identified at different stages: the help knowledge stage, the customer participation knowledge stage, and the interaction knowledge stage. In this study, it is suggested that the following three questions are the ones that majority adopters and laggards want to be answered in the knowledge stage: (1) What is the innovation? (2) What do I need to do to adopt? and (3) Who can help me in the adoptive process? With answers to these questions, consumers have the knowledge that may help speed up the rate of adoption of an innovation. This has practical implications in communication management, for instance, for change agents who are framing messages.