Miracle-dz/UniFAR-FTUs huggingface dataset:
Detecting Vicious Cycles in Urban Problem Knowledge Graph using Inference Rules

Abstract Urban areas have many problems, including homelessness, graffiti, and littering. These problems are influenced by various factors and are linked to each other; thus, an understanding of the problem structure is required in order to detect and solve the root problems that generate vicious cycles. Moreover, before implementing action plans to solve these problems, local governments need to estimate cost-effectiveness when the plans are carried out. Therefore, this paper proposed constructing an urban problem knowledge graph that would include urban problems' causality and the related cost information in budget sheets. In addition, this paper proposed a method for detecting vicious cycles of urban problems using SPARQL queries with inference rules from the knowledge graph. Finally, several root problems that led to vicious cycles were detected. Urban-problem experts evaluated the extracted causal relations.
Mixed H2/H∞ with Pole-Placement Control Design Outline for Active Suspension Systems

This paper consider the control of active automotive suspensions applying Mixed (H2/H∞) state-space optimization techniques. It is well known that the ride comfort is improved by reducing vehicle body acceleration generated by road disturbance. In order to study this phenomenon, Two Degrees of Freedom (DOF) in state space vehicle model was built in. However, the H∞ control method attenuates the agitation effect on the output while H2 is employed to improve the input of the controller. Linear Matrix Inequality (LMI) technique is employed to calculate the dynamic controller parameters. The outcome of the simulation revealed that ride comfort for the vehicle upgraded adequately by applying mixed H2/H∞ Control method for active suspension system, and also the mixed H2/H∞ Control method was more effective than the H∞ Control method.
Space charge in HVDC cable insulation

High voltage cables that are used for DC transmission are subjected to a range of operating conditions. The resulting distribution of the electric field inside the cable is highly dependent on, for instance loading of the cable and polarity reversals. This is because the conductivity of the insulation is dependent both on the temperature and on the electric field. An essential parameter in the process to determine the internal electric field is space charge. For a thorough understanding of the behavior of the cable, knowledge of the location and amount of space charge under different operating conditions is paramount.
Inaccurate Risk Assessment by the ACS NSQIP Risk Calculator in Aortic Surgery

Objectives: The aim of this retrospective study was to assess the predictive performance of the American College of Surgeons (ACS) risk calculator for aortic aneurysm repair for the patient population of a Dutch tertiary referral hospital. Methods: This retrospective study included all patients who underwent elective endovascular or open aortic aneurysm repair at our institution between the years 2013 and 2019. Preoperative patient demographics and postoperative complication data were collected, and individual risk assessments were generated using five different current procedural terminology (CPT) codes. Receiver operating characteristic (ROC) curves, calibration plots, Brier scores, and Index of Prediction Accuracy (IPA) values were generated to evaluate the predictive performance of the ACS risk calculator in terms of discrimination and calibration. Results: Two hundred thirty-four patients who underwent elective endovascular or open aortic aneurysm repair were identified. Only five out of thirteen risk predictions were found to be sufficiently discriminative. Furthermore, the ACS risk calculator showed a structurally insufficient calibration. Most Brier scores were close to 0; however, comparison to a null model though IPA-scores showed the predictions generated by the ACS risk calculator to be inaccurate. Overall, the ACS risk calculator showed a consistent underestimation of the risk of complications. Conclusions: The ACS risk calculator proved to be inaccurate within the framework of endovascular and open aortic aneurysm repair in our medical center. To minimize the effects of patient selection and cultural differences, multicenter collaboration is necessary to assess the performance of the ACS risk calculator in aortic surgery.
The Role of Universities in Innovation Development as Trainer and Innovator

Several success stories prove that universities are able to significantly influence regional economic and innovation performance. Partially due to this fact, a number of regions created development strategies to strengthen the regional effects of universities and to motivate the academic sphere for a more intense involvement in regional economic development.The purpose of this study is to examine the associations among different universities‟ roles as trainer and innovator and show that their influence on the society, directly or indirectly, relates to innovation development. We test the proposed framework and hypotheses using empirical data from Fars province (Iran)'s UAST's faculty member. The results show that universities in both roles have a positive relationship with innovation development. Societal capability to manage processes may play a vital role in identifying routines, establishing a learning base, and supporting innovative activities. The findings also reveal that the importance of universities roles are tied to social effects. Therefore, highlighting just one or a few social effects may not result in innovation development.
Bin mapping‐based QTL analyses using three genetic populations derived from indica–japonica crosses uncover multiple grain shape heterosis‐related loci in rice

Exploitation of heterosis between indica and japonica has important significance in scientific research and agriculture application. However, the molecular mechanism of grain shape heterosis in indica–japonica hybrid remains unknown in rice (Oryza sativa L.). To reveal the genetic mechanism of grain shape in indica‐‐japonica hybrid, we constructed a high‐generation recombinant inbred line (RIL) population and two testcross hybrid populations derived from the cross of RILs and two cytoplasmic male sterile material (YTA and Z7A) and then performed a bin mapping‐based quantitative trait locus (QTL) mapping of multiple grain shape traits, such as grain length (GL), grain width (GW), and grain length‐to‐width ratio (GLWR). A total of sixteen QTLs and 30 heterosis‐related QTLs of grain shape traits were detected. We found that GS3, GS5, and OsPPKL2 were also correlated with grain shape both in RILs and two testcross hybrid populations. Homologous gene analysis emphasized two candidate grain shape‐associated genes (LOC_Os06g14260 and LOC_Os04g51950). Our findings uncover multiple grain shape heterosis‐related loci and provides a new insight into heterosis mechanism of grain shape in rice.
Experimental Investigation of the Unsteady Flow Field Downstream of a Counter-Rotating Two-Spool Turbine Rig

The paper presents an experimental investigation of the unsteady flow field in the two-spool counter-rotating transonic turbine at Graz University of Technology. The test setup consists of a high pressure (HP) stage, a diffusing mid turbine frame with turning struts (TMTF) and a shrouded low pressure (LP) rotor. The two rotors are mounted on mechanically independent shafts in order to provide engine-representative operating conditions. The rig was designed in cooperation with MTU Aero Engines and Volvo Aero within the EU project DREAM (ValiDation of Radical Engine Architecture SysteMs). A two-sensor fast response aerodynamic pressure probe (2S-FRAP) has been employed to provide time-resolved aerodynamic area traverses downstream of the LP turbine. Such measurement allows estimating the total deterministic unsteadiness transported through the duct. In particular, it has been possible to isolate the structures induced by each rotor by means of the encoders mounted on the two shafts. A global ensemble averaged field, which takes into account the rotor-rotor interactions, is also provided. The time resolved distributions of the flow quantities are then discussed in details. The perturbations due to the HP rotor in terms of velocity and flow angle are negligible in this downstream plane. Indeed, the largest fluctuations of velocity are due to the TMTF-LP rotor interaction, they occur in the wake and secondary flows of the TMTF. Large fluctuations of static and total pressure are instead due to both rotors to the same extent.Copyright © 2012 by ASME
Role of Organisational Culture for Knowledge Sharing in Project Environments

This article aims to look at the relationship between organisational culture and knowledge-sharing practices in a project work context. The key objectives for this exploration is to consider the significance of organisational culture within project-based companies and to determine how organisational culture can assure that effective knowledge-sharing activities would be a permanent phenomenon in projects. An online survey was conducted to collect the data from project and assistant managers. The study attempts to find out the impact of organisational culture on knowledge-sharing activities, i.e., it aids the practitioners in responding to unusual impediments related to knowledge-sharing practices in the quest for sustainable competitive advantage. The results show that organisational culture significantly (positively) correlates with the knowledge sharing in project-based companies. It is advocated that project managers should harmonise knowledge-sharing practices with organisational cultures in order for the practices to be supported and protected.
The Effects of Digital Transformation on Firm Performance: Evidence from China’s Manufacturing Sector

With vast potentials in improving operations and stimulating growth, digital transformation has aroused much attention from firms across the world. However, the high costs associated with the transformation can not be ignored. Limited research has looked into the organizational performance effects of digital transformation. After examining the benefits and costs of digital transformation, this research makes an empirical study on the impact of digital transformation on firm operational and financial performance. The panel data from 2010 to 2020 of 2254 manufacturing companies in China suggests that the intensity of digital transformation is in positive correlation with the process-based operating performance, and in the U-shaped correlation with the profit-oriented financial performance. Further, we find that digital transformation has a much more lasting impact on operating performance than on financial performance. The conditions required (i.e., policy and innovation environment) to improve the operating performance via digital transformation are more easing. This research shows the differentiated effect of digital transformation on different dimensions of organizational performance and provides guidance for companies to set the goals for digital transformation.
Comparison of Multivariate Calibrations for the Determination of Soluble Solids Content of Tea Beverage Using UV-VIS-NIR Spectroscopy

Ultra-violet, visible and near infrared (UV-VIS-NIR) spectroscopy combined with chemometrics was investigated for fast determination of soluble solids content (SSC) of tea beverage. In this study, a total of 120 tea samples with SSC range of 4.0-9.5 ºBrix were tested. Samples were randomly divided for calibration (n=90) and independent validation (n=30). Spectra were collected by a mobile fiber-type UV-VIS-NIR spectrophotometer in transmission mode with recorded wavelength range of 203.64-1128.05 nm. Various calibration approaches, i.e., principal components analysis (PCA), partial least squares (PLS) regression, least squares support vector machine (LSSVM) and back propagation artificial neural network (BPANN), were investigated. The combinations of PCA-BPANN, PCA-LSSVM, PLS-BPANN and PLS-LSSVM were also investigated to build calibration models. Validation results indicated that all these investigated models achieved high prediction accuracy. Especially, PLS-LSSVM achieved best performance with mean coefficient of determination (R2) of 0.99, root-mean-square error of prediction (RMSEP) of 0.12 and residual prediction deviation (RPD) of 15.16. This experiment suggests that it is feasible to measure SSC of tea beverage using UV-VIS-NIR spectroscopy coupled with appropriate multivariate calibration, which may allow using the proposed method for off-line and on-line quality supervision in the production of soft drink.
General coupling matrix synthesis methods for Chebyshev filtering functions

Methods are presented for the generation of the transfer polynomials, and then the direct synthesis of the corresponding canonical network coupling matrices for Chebyshev (i.e., prescribed-equiripple) filtering functions of the most general kind. A simple recursion technique is described for the generation of the polynomials for even- or odd-degree Chebyshev filtering functions with symmetrically or asymmetrically prescribed transmission zeros and/or group delay equalization zero pairs. The method for the synthesis of the coupling matrix for the corresponding single- or double-terminated network is then given. Finally, a novel direct technique, not involving optimization, for reconfiguring the matrix into a practical form suitable for realization with microwave resonator technology is introduced. These universal methods will be useful for the design of efficient high-performance microwave filters in a wide variety of technologies for application in space and terrestrial communication systems.
Evaluation of the Outcome of Local Surgery for Stomal Prolapse

We reviewed the results of local surgical treatment of stoma prolapse, a long-term complication of stoma construction. Fifteen patients treated for stomal prolapse between 2009 and 2020 at the authors’ and affiliated hospitals were included in this study. The treatment comprised local laparotomic stomal reconstruction (LLSR) in nine patients and stapling repair (SR) in six. We compared and evaluated the clinical and surgical information and postoperative complications. Operation time was significantly shorter in the SR group than in the LLSR group: 20 and 53 min, respectively (p = 0.036). The duration of postoperative hospitalization was shorter in the SR group than in the LLSR group: 5.5 and 8 days, respectively; the difference was not significant (p = 0.088). No short-term complications were found in either group. Regarding long-term, postoperative complications, parastomal hernias developed after 2.5 years in one patient in the LLSR group and after 6 months in one patient in the SR group; both patients had histories of parastomal hernia surgery and had relatively high body mass indices. Local surgery for stomal prolapse was minimally invasive and performed safely. In patients with a history of surgery for parastomal hernia, attention must be paid to the potential of parastomal hernia developing as a postoperative complication.
Sliding-mode control of interleaved boost converters

Boost topologies in interleaved operation under sliding-mode control are analyzed in this paper. First, the interleaving connection of two identical boost converters results in a new step-up structure whose closed-loop dynamics are asymptotically stable with good start-up and excellent load regulation when a self-oscillating sliding-mode control is applied to the converter. For a duty cycle of 50%, the new regulator acts as a small-ripple voltage doubler. Later, an extension of the voltage doubler yields a voltage quadrupler with similar dynamic characteristics. Simulated and experimental results verify the theoretical predictions.
CD34 + CD38-CLL1+ leukemic stem cells persistence measured by multiparametric flow cytometry is a biomarker of poor prognosis in adult patients with acute myeloid leukemia

The absence of measurable residual disease (MRD) in morphologic complete remission (CR) represents a favor-able prognosticator in acute myeloid leukemia (AML) [1]. However, despite the achievement of MRD negativity, 20 – 25% of AML patients still relapse [2]. Besides technical issues such as sensitivity and specificity, relapse likely originates from chemo-resistant cells that escape MRD detection and eventually lead to leukemic outgrowth. These chemo-resistant cells may have different immuno-phenotypes that evade standard MRD monitoring and are particularly abundant in the CD34CD38- fraction of the leukemic stem cells (LSCs) compartment [3 – 8]. Multiparametric flow cytometry (MFC) represents a useful tool to identify and quantitate LSCs. Furthermore, the immunophenotype of such putative LSCs can be dis-tinguished from that of normal hematopoietic
On-Line Identification of Line Segments Using Hypothesis Testing for Robot Mapping

A novel features identification method is proposed for mobile robot indoor environment perception. In this paper, firstly, multi-dimensional data space is building based on laser scanner data, in which corner point is located by hypothesis testing theory. Secondly, line segments are obtained and localized by fitting method, which are previously estimated using probability model. At last, experiments verify the efficiency of proposed algorithm in indoor environment.
Future Fuels for Internal Combustion Engines

Abstract Today the world is facing three critical problems: (1) high fuel prices, (2) climatic changes, and (3) air pollution. Experts suggest that current oil and gas reserves would suffice to last only a few more decades. Biorenewable liquids are the main substitutes to petroleum-based gasoline and diesel fuel. These fuels are important because they replace petroleum fuels; however, some still include a small amount of petroleum in the mixture. There are four alternate fuels that can be relatively easily used in conventional diesel engines: vegetable oil, biodiesel, Fischer-Tropsch liquids, and dimethyl ether. The main alternate fuels include (m)ethanol, liquefied petroleum gas, compressed natural gas, hydrogen, and electricity for operating gasoline-type vehicles. Bioethanol is an alternate fuel that is produced almost entirely from food crops. The primary feedstock of this fuel is corn. Biohydrogen is an environmentally friendly alternative automotive fuel that can be used in an internal combustion engine.
A Sarcopenia-Based Prediction Model for Postoperative Complications of ex vivo Liver Resection and Autotransplantation to Treat End-Stage Hepatic Alveolar Echinococcosis

Background Sarcopenia and visceral adiposity have been shown to be associated with postoperative complications in numerous diseases. However, their effects on the postoperative complications of end-stage hepatic alveolar echinococcosis (HAE) patients undergoing ex vivo liver resection and autotransplantation (ELRA) remain unclear. Methods This retrospective study included 101 end-stage HAE patients who underwent ELRA from January 2014 to August 2020. We measured the skeletal muscle and adipose tissue of all patients at the level of the third lumbar vertebra on plain abdominal computed tomography (CT) images and subsequently derived an equation via least absolute shrinkage and selection operator (LASSO) regression analysis to calculate the sarcopenia score. Univariate and multivariate regression were performed to reveal the relationship between major postoperative complications and perioperative clinical data, and the obtained nomogram was validated with the bootstrapping method. Results The sarcopenia score was constructed as a personalized indicator to evaluate sarcopenia and visceral adiposity in each patient. Logistic regression analysis finally selected duration from primary diagnosis to obvious symptoms (OR=1.024, 95% CI, 1.007–1.042), surgical time (OR=1.003, 95% CI, 0.999–1.007) and sarcopenia score (OR=4.283, 95% CI, 1.739–10.551) as independent risk factors for predicting major postoperative complications following ELRA for end-stage HAE patients. The area under the receiver operating characteristic curve (AUROC) of 0.807 (95% CI, 0.720–0.895) and the calibration curve for this prediction model were satisfactory. Conclusion The sarcopenia score, which systematically evaluates the skeletal muscle and adipose tissue of end-stage HAE patients, was a significant predictive factor for major postoperative complications of ELRA. Relevant interventions should be conducted for those who have a high risk of postoperative complications according to the nomogram.
An Optimization Path Planning Method Based on Evolutionary Artificial Potential Field

This paper presents an evolutionary way for the robot to plan path. The way is based on the Evolutionary Artificial Potential Field approach. APF is an efficient way for a robot to plan its path, and the evolutionary APF can help the robot to jump out of the local minimum point. A matrix is integrated in the new algorithm. The matrix can modify the direction of a robot when the robot is trapped in a local minimum point. The force which has been changed will prompt the robot to escape from the local minimum point. Simulation result shows that the optimized algorithm is an effective way to solve the local minimum problem.
Planar integrated polymer-based optical strain sensor

In this work we present a new type of optical strain sensor that can be manufactured by MEMS typical processes such as photolithography or by hot embossing. Such sensors can be of interest for a range of new applications in structural health monitoring for buildings and aircraft, process control and life science. The approach aims at high sensitivity and dynamic range for 1D and 2D sensing of mechanical strain and can also be extended to quantities such as pressure, force, and humidity. The sensor consists of an array of planar polymer-based multimode waveguides whose output light is guided through a measurement area and focused onto a second array of smaller detection waveguides by using micro-optical elements. Strain induced in the measurement area varies the distance between the two waveguide arrays, thus, changing the coupling efficiency. This, in turn, leads to a variation in output intensity or wavelength which is monitored. We performed extensive optical simulations in order to identify the optimal sensor layout with regard to either resolution or measurement range or both. Since the initial approach relies on manufacturing polymer waveguides with cross sections between 20×20 μm2 and 100×100 μm2 the simulations were carried out using raytracing models. For the readout of the sensor a simple fitting algorithm is proposed.