Miracle-dz/UniFAR-FTUs huggingface dataset:
Stakes, positions and logics: An institutional field analysis of cross-border health IT policy

The concepts field and habitus are used widely and variably in institutional theory. The intellectual antecedents are found in the work of the French Sociologist, Pierre Bourdieu. This study presents a field-level analysis of pan-European policy on cross-border health information technology. Using field theory and institutional theory, we situate field as a multi-level concept which extends institutional and organizational levels of analysis. Empirical data is gathered from European policymakers, health professionals and patient advocacy groups on the diffusion of supra-national health information technology across European Member States. Findings reveal four scenarios depicting field tensions, as ideological and practical imperatives of supra-national health information technology policy mis-align with Member State health systems. This study has implications for policy-makers and other stakeholders, who seek to narrow the digital divide across health fields and sub-fields.
Mining of Weak Fault Information Adaptively Based on DNN Inversion Estimation for Fault Diagnosis of Rotating Machinery

Fault feature extraction plays a significant role in bearing fault diagnosis, especially in incipient fault period. Recently, deep neural network has been favored by many researchers due to its excellent hierarchical feature extraction capabilities. The existing diagnosis methods based on deep neural network mostly take original condition monitoring data as input and further convert fault diagnosis into pattern recognition issues. Although it improves the level of intelligent diagnosis, it is still confronted with practical problems. Since deep neural network includes many non-linear mapping layers, the extracted fault-related features show a high degree of abstraction, which reduces the practical level of this technology. Aimed at this problem, a mining method of understandably weak fault information is proposed based on deep neural network inversion estimation. From perspective of neuron response degree, this method mines the most sensitive input pattern that maximizes the neuron’s activation value of network output layer in the original input feature space. It can intuitively mine the weak fault information from the original signal. Two bearing experiments verify the effectiveness and reliability of the proposed method.
Influence of die attachment on MOS transistor matching

A test chip which allows the experimental study of the influence of die residual stresses on MOS transistor matching, in a standard 0.7 /spl mu/m CMOS technology, is described. The influence of eutectic die bonding on transistor matching is found to be a major degradation factor. Polyimide bonded dies do not significantly affect the matching performance of MOS transistors.
Terahertz-Wave-Plethysmography (TPG): A New Principle of Radar Based Pulse Detection

This study presents findings at Terahertz (THz) frequency band for non-contact cardiac sensing application. For the first time, cardiac pulse information is simultaneously extracted using THz waves based on the two established principles in electronics and optics. The first fundamental principle is micro-Doppler (mD) motion effect, initially introduced in coherent laser radar system 1, 2 and first experimentally demonstrated for vital sign detection 3. This motion based method, primarily using coherent phase information from the radar receiver, has been widely exploited in microwave frequency bands and has recently found popularity in millimeter waves (mmWave). The second fundamental principle is reflectance based optical measurement using infrared or visible light. The variation in the light reflection is proportional to the volumetric change of the heart, often referred as photoplethysmography (PPG). PPG has been a popular technology for pulse diagnosis. Recently it has been widely incorporated into various smart wearables for long-term monitoring, such fitness training and sleep monitoring. Herein, the concept of Terahertz-Wave-Plethysmography (TPG) is introduced, which detects blood volume changes in the upper dermis tissue layer by measuring the reflectance of THz waves, similar to the existing remote PPG (rPPG) principle 4. The TPG principle is justified by scientific deduction, electromagnetic wave (EM) simulations and carefully designed experimental demonstrations. Additionally, pulse measurements from various peripheral body parts of interest (BOI), palm, inner elbow, temple, fingertip and forehead, are demonstrated using a wideband THz sensing system developed by Terahertz Electronics Lab at Arizona State University (ASU), Tempe. Among the BOIs under test, it is found that the measurements from forehead BOI gives the best accuracy with mean heart rate (HR) estimation error 1.51 beats per minute (BPM) and stand deviation (std) 1.08 BPM. The results validate the feasibility of radar based plethysmography for direct pulse monitoring. Finally, a comparative study on pulse sensitivity in TPG and rPPG is conducted. The results indicate that the TPG contains more pulsatile from the forehead BOI than that in the rPPG signals and thus generate better heart rate (HR) estimation statistic in the form of empirical cumulative distribution function (CDF) of HR estimation error.
Deficiency of the Ribosomal Protein uL5 Leads to Significant Rearrangements of the Transcriptional and Translational Landscapes in Mammalian Cells

Protein uL5 (formerly called L11) is an integral component of the large (60S) subunit of the human ribosome, and its deficiency in cells leads to the impaired biogenesis of 60S subunits. Using RNA interference, we reduced the level of uL5 in HEK293T cells by three times, which caused an almost proportional decrease in the content of the fraction corresponding to 80S ribosomes, without a noticeable diminution in the level of polysomes. By RNA sequencing of uL5-deficient and control cell samples, which were those of total mRNA and mRNA from the polysome fraction, we identified hundreds of differentially expressed genes (DEGs) at the transcriptome and translatome levels and revealed dozens of genes with altered translational efficiency (GATEs). Transcriptionally up-regulated DEGs were mainly associated with rRNA processing, pre-mRNA splicing, translation and DNA repair, while down-regulated DEGs were genes of membrane proteins; the type of regulation depended on the GC content in the 3′ untranslated regions of DEG mRNAs. The belonging of GATEs to up-regulated and down-regulated ones was determined by the coding sequence length of their mRNAs. Our findings suggest that the effects observed in uL5-deficient cells result from an insufficiency of translationally active ribosomes caused by a deficiency of 60S subunits.
A Review of Remote Intracerebral Hemorrhage after Chronic Subdural Hematoma Evacuation

Abstract Background Remote intracerebral hemorrhage (RICH) is a severe complication following chronic subdural hematoma (cSDH) drainage, and only case reports and small case series have been reported to date. The authors present an emblematic patient affected by RICH following cSDH drainage. A systematic review of the literature on diagnosis and management of patients affected by RICH following cSDH evacuation has also been performed. Methods A literature search according to the PRISMA statement was conducted using PubMed and Scopus databases with the following Mesh terms: [(remote) AND (intracerebral hemorrhage or cerebral hematoma or cerebral infarction or cerebellar hemorrhage or cerebellar hematoma or cerebellar infarction) AND (chronic subdural hematoma)]. Results The literature search yielded 35 results, and 25 articles met our inclusion criteria: 22 articles were case reports and 3 were case series including three to six patients. Overall, 37 patients were included in the study. Age was reported in all 37 patients, 26 males (70.3%) and 11 females (29.7%), with a male-to-female ratio of 2.4:1. The mean age at diagnosis was 64.6 years (range: 0.25–86 years). Only in 5 cases (13.5%) did the ICH occur contralaterally to the previously drained cSDH. The rapidity of drainage can lead to several types of intracranial hemorrhages, caused by a too rapid change in the cerebral blood flow (CBF) and/or tears of bridging veins. The average time interval between cSDH drainage and neurologic deterioration was 71.05 hours (range: 0–192 hours). Conclusions RICH following cSDH represents a rare occurrence and a serious complication, associated with elevated morbidity. Careful monitoring of drain speed after cSDH evacuation surgery is recommended, and minimally invasive techniques such as twist drill craniostomy are suggested, especially for massive cSDHs.
Patterning of defect arrays with e-beam lithography used to develop a high throughput e-beam defect inspection tool

SUNY Poly SEMATECH has established an infrastructure development program to ensure that needed beam based metrology tools and techniques are available for leading edge semiconductor processes and devices. The design, development, and fabrication of high quality dense array samples with ≤16 nm defects at known locations is a key requirement to assessing new inspection technologies. Due to the technical difficulties of creating high quality programmed defect samples at the required sizes, the authors have undertaken multiple paths of electron beam lithographic development, supporting organizations and processing techniques to optimize and deliver the needed samples. In doing so, this program has created a snapshot of electron beam lithographic capability. This paper discusses our experience with electron beam lithography used to create the arrays samples.
BSP-MonoLoc: Basic Semantic Primitives based Monocular Localization on Roads

Robust visual localization in traffic scenes is a fundamental problem for self-driving vehicles. However, it is still challenging to achieve accurate localization performance because of drastic viewpoint and illumination changes. To address the issues, we design a novel monocular localization framework based on a light-weight prior map, called BSP-MonoLoc, which leverages the 2D semantic primitives from the monocular images and the 3D basic semantic primitives from the prior map. These primitives are commonly available but lack of distinctive signature. To effectively make associations between the 2D and 3D primitives and refine the vehicle’s pose, we adopt an iterative optimization method, where an efficient hierarchical sample strategy is designed to give a good initial prediction for the associations and the pose. Experimental results on the KAIST dataset and our dataset demonstrate the proposed method can achieve high localization accuracy and run at a real-time performance.
Experimental and Numerical Based Defect Detection in a Model Combustion Chamber through Machine Learning

A disturbed combustion process in an aircraft engine has an impact on the internal flow and leads to specific irregularities in the species distribution in the exhaust jet. Measuring this distribution provides information about the combustion state and offers the possibility to reduce the engine down-time during inspection. The approach has the potential to improve the resource management as well as the availability and safety of the system. Aim of the research project is to evaluate the state of an aircraft engine by analyzing the emission field in the exhaust jet and using a support vector machine (SVM) algorithm for automatic defect detection and allocation.
Transforming Graph-based Data Visualisations from Planar Displays into Augmented Reality 3D Space

In this position paper we describe how graph data as an example of cross-virtuality analytics can be moved from the real environment to augmented reality by interweaving large-scale 2D displays with augmented reality head-mounted displays. With a pull gesture, 2D graph data on a large-scale display can be dragged into augmented reality 3D space and simultaneously be transformed into a 3D layout, imitating that the graph network is moving out of the screen. We outline relevant design decisions for this transformation from 2D to 3D and conclude with our assessment of the potential and future work of such data visualisation transformations.
Reconstructing the Gerdrup Grave – the story of an unusual Viking Age double grave in context and in the light of new analysis

In 1981, a double burial from the 9th century was excavated at Gerdrup, north of Roskilde. The grave contained remains of the bodies of a woman and a man. The woman was buried with a spear, whilst the man had apparently been killed before burial. This has been interpreted as a ‘master and slave burial’, which was placed at an isolated location, perhaps because the buried were regarded as pariahs. However, previously unpublished excavation data combined with new 14C analyses indicate that the burial was part of a small multi-period burial site, which was located near a group of earlier burial mounds. Topographic analyses show that the burial was also located on an important ford, and therefore had a prominent location. Significantly, new DNA analyses surprisingly indicate that the two buried individuals actually have a parent-offspring relationship: they are mother and son. The previous interpretation of the Gerdrup grave is thus challenged. This article will present the relevant excavation data and discuss this in the light of the new analyses. ARTICLE HISTORY Received 11 May 2021; Accepted 2 December 2021
VisSim-Based Genetic Algorithm Optimization of Signal Timings

Genetic algorithm optimizations of traffic signal timings have been shown to be effective, continually outperforming traditional optimization tools such as Synchro and TRANSYT-7F. However, their application has been limited to scholarly research and evaluations. Only one tool has matured to a commercial deployment: direct CorSim optimization, a feature of TRANSYT-7F. A genetic algorithm formulation, VisSim-based genetic algorithm optimization of signal timings (VISGAOST), is presented; it builds on the best of the recorded methods by extending their capabilities. It optimizes four basic signal timing parameters with VisSim microsimulation as an evaluation environment. The program brings new optimization features not available in the direct CorSim optimization, such as the optimization of phasing sequences, multiple coordinated systems and uncoordinated intersections, fully actuated isolated intersections, and multiple time periods. The formulation has two features that enhance and reduce computational time: optimization resumption and parallel computing. The program has been tested on two VisSim networks: a hypothetical grid network and a real-world arterial of actuated–coordinated intersections in Park City, Utah. The results show that timing plans optimized by the genetic algorithm outperformed the best Synchro plans in both cases, reducing delay and stops by at least 5%.
Review Modelling the biomechanics and control of sphincters

This paper reviews current mathematical models of sphincters and compares them with a new spatial neuromuscular control model based on known physiological properties. Almost all the sphincter models reviewed were constructed as a component of a more extensive model designed to mirror the overall behaviour of a larger system such as the lower urinary tract. This implied less detailed modelling of the sphincter component. It is concluded that current sphincter models are not suitable for mimicking detailed interactions between a neural controller and a sphincter. We therefore outline a new integrated model of the biomechanics and neural control of a sphincter. The muscle is represented as a lumped-mass model, providing the possibility of applying two- or three-dimensional modelling strategies. The neural network is a multi-compartment model that provides neural control signals at the level of action potentials. The integrated model was used to simulate a uniformly activated sphincter and a partially deficient innervation of the sphincter, resulting in a non-uniformly activated sphincter muscle. During the simulation, the pressure in the sphincter lumen was prescribed to increase sinusoidally to a value of 60 kPa. In the uniformly activated situation, the sphincter muscle remains closed, whereas the partially denervated sphincter is stretched open, although the muscle is intact.
Autonomous system expansion planning considering renewable energy sources-a computer package

The authors describe the interactive package ASP (Autonomous System Planning), which determines the optimal expansion plan of an autonomous generation system including diesel units, wind generators, and photovoltaic generators. Utilizing meteorological data, load demand data and estimated economical parameters, the package finds the optimal system expansion policy for a period of N years. The solution algorithms implemented in the package recognize planning and operational constraints and take into consideration the stochastic nature of the meteorological conditions, loads, and the availability of the diesel units. >
In vitro methane production and fermentative parameters of wild sunflower and elephant grass silage mixtures, either inoculated or not with epiphytic lactic acid bacteria strains

The present investigation was carried out to determine the extent of the incorporation of Tithonia diversifolia (TD) and the possibility of blending it with Pennisetum purpureum (PP) to obtain the maximum benefit for ensilability and for animal nutrition. Silage mixtures of wild sunflower (TD) and elephant grass (PP) were evaluated based on chemical composition, Rev Mex Cienc Pecu 2021;12(3):789-810 790 quantification of gas production, methane release and fermentation parameters. The silage blends were arranged in four T. diversifolia / P. purpureum proportions, namely: 100/0; 67/33; 33/67; and 0/100 (fresh weight). Silages with higher proportions of T. diversifolia increased crude protein content, in vitro digestibility while decreasing NDF and ADF fractions (P<0.05). High amounts of T. diversifolia showed the lowest gas production values (160.2 ml), while treatments with higher grass inclusion produced a greater amount of gas up to 194.5 ml. Methane production was higher by increasing the proportion of P. purpureum into the silage blends. The silage inoculum did not have any impact on in vitro gas production (P<0.05). Also, higher proportions of T. diversifolia reduced acidification process while P. purpureum inclusion facilitated lower pH values. Lactic acid bacteria inoculum tended to decrease pH of silages but no clear effects on silage temperature were observed. Silages with high proportions of T. diversifolia (67 % of inclusion) would be more palatable for animals and might also translate into larger animal performance due to greater protein supply and better digestibility than silages with larger proportion of P. purpureum (67 and 100 % of inclusion).
Information Technology Adoption Determinants in Improving Human Resource Function in Kenyan Public Universities

In the current Information Age, adoption of Information Technology (IT) in all sectors of the economy has been in top gear in all parts of the world. In Kenya organizations both public and private are shifting towards utilization of IT in running activities of the various departments including the Human Resource Department. However, the adoption of IT according to previous studies has been hampered by a number of challenges including lack of a proper IT policy framework, ineffective IT implementation procedures, low levels of IT literacy and lack of IT Infrastructure. Basing on the Unified Theory of Acceptance and Use of Technology (UTAUT) this study aimed at investigating whether IT policy framework, IT implementation procedures, IT literacy and IT Infrastructure are determinants in successfully adopting IT in the Human Resource function in Kenyan public universities.The study used descriptive survey research design where both qualitative and quantitative techniques were employed to analyze data. The sample sizes of 123 respondents were derived from the target population of 130 in the Human Resource Department employees within the seven public universities. Questionnaires developed by the researcher were used as the main data collection instrument. Frequencies and percentages were used to analyze the data descriptively while Tests for significance that is t-test and F-test were used to test the significance of the independent variables and the dependent variable. For the Hypotheses to be accepted or rejected comparison was done between the critical t and calculated. In addition, the researcher used the multiple linear Regression Analysis, to model the relationship between adoption of IT for Improving Human Resource Function and the predictor variables. The main findings of the study were that though there is a linear relationship between IT Policy Framework and Improvement of HR function due to IT adoption it is negligible the same results were reflected when it came to IT Implementation Procedure.On the other hand a strong relationship existed between IT Literacy and IT Infrastructure and Improvement of HR Function due to IT adoption. Further, individually all the four independent variables had a positive effect on the dependent variable and the effect increases when the independent variables are combined. The study recommended the need to match our well documented IT Policy framework and IT Implementation Procedures with investments in training and development to boost IT Literacy levels and provision of necessary IT Infrastructure. It is believed that this study will not only benefits the Human Resource Department in Kenyan Public Universities but also all individuals and Corporate bodies that are keen to adopt IT in undertaking their mandate.
Underwater target detection in synthetic aperture sonar data

The detection of underwater targets, such as mines, from sonar returns is a difficult task which is compounded by the complex and variable backgrounds found on the seabed. The developed system employs a classical training and classification structure giving a statistical characterisation of the background together with domain knowledge of typical target types. A set of ground truth labels have been produced for three given seabed test regions which contain a range of target types. The method identifies the centre of targets using log-Gabor, matched and shaped filters together with a Support Vector Machine (SVM) classifier. Subjective testing enabled the comparison of our automatic detection methods with the performance of expert operators. The automatic target detection method was found to offer performance at least as good as human operators on identical data (based on a small operator data set). (5 pages)
Experiential Information Presentation About Objects Using AR-VR System

With AR technology, digital information can be overlaid onto the physical world, and information can be placed near objects to emphasized which object the information belongs to. Although AR strengthen the relationship between objects and information, the physical space to display information is limited. An effective way to deliver information through AR system should be proposed. Virtual reality (VR) is an effective method to deliver information. In this research, we propose an object detection-based AR-VR system, which delivers VR information after user selecting objects in AR. With this system, user can not only experience a VR environment for information, but also understanding which object the information is describing. As an implementation, tourism promotion purpose system was developed and exhibited. Users can select local specialties through object detection AR and experience the VR worlds which describe those objects. The evaluation indicates that this system is effective as an information system. Key Word(5 words) Deep learning, Object detection, AR, VR website, User interface