Miracle-dz/UniFAR-FTUs huggingface dataset:
Drones in urban stormwater management: a review and future perspectives

ABSTRACT Cities across the world are struggling to address flooding and water quality pollution from stormwater runoff, in part because of a lack of technologies that can effectively support management actions. Drones, or Unmanned Aerial Vehicles, are a technology that have the potential to address this challenge through rapid, on-demand, high-resolution data. Drones have seen an emergence among water resources and environmental researchers and practitioners; however, less attention has been given to their potential for stormwater management. Therefore, this paper presents a review of drone studies that have applications for urban stormwater management and provides future perspectives on their role as an emerging technology. A case is made for drones as a tool that can support asset management, conduct flow and water quality monitoring, collect high spatial resolution data for improved model parameterization, and support the smart and connected cities of the future.
Multi-Level Modeling Methodology for Optimal Design of Electric Machines Based on Multi-Disciplinary Design Optimization

The transportation sector is undergoing electrification to gain advantages such as lighter weight, improved reliability, and enhanced efficiency. As contributors to the safety of embedded critical functions in electrified systems, better sizing of electric machines in vehicles is required to reduce the cost, volume, and weight. Although the designs of machines are widely investigated, existing studies are mostly complicated and application-specific. To satisfy the multi-level design requirements of power systems, this study aims to develop an efficient modeling method of electric machines with a background of aircraft applications. A variable-speed variable-frequency (VSVF) electrically excited synchronous generator is selected as a case study to illustrate the modular multi-physics modeling process, in which weight and power loss are the major optimization goals. In addition, multi-disciplinary design optimization (MDO) methods are introduced to facilitate the optimal variable selection and simplified model establishment, which can be used for the system-level overall design. Several cases with industrial data are analyzed to demonstrate the effectiveness and superior performance of the modeling method. The results show that the proposed practices provide designers with accurate, fast, and systematic means to develop models for the efficient design of aircraft power systems.
Complexity Reduction of MLSE and MAP Equalizers Using Modified Prolate Basis Expansion

Maximum likelihood sequence estimation (MLSE) and maximum a posteriori probability (MAP) equalizers are optimum receivers for dealing with intersymbol interference (ISI) in time-dispersive channels. However, their high complexity and latency limit their widespread implementation; therefore, research into reducing their complexity is an open topic. This paper proposes a novel modification to reduce the computational complexity of the aforementioned algorithms, which exploits the representation of the communication channels in a time-delay-domain basis expansion model (BEM). It is shown that an appropriate basis is a set of modified prolate functions, in which the transmitter and receiver filters are considered in the kernel construction. Simulation results show that a reduction in sums and multiplications on the order of 55% can be obtained, maintaining the same bit error rate performance as in the traditional implementation.
Principles and Practice of Structural Equation Modeling, Fourth Edition

Publication Date: November 2015 Copyright: 2016 Pages: 510 Size: 7" x 10" Paperback: ISBN 978-1-4625-2334-4; Paperback Price: $65.00 tentative/short discount Hardcover: ISBN 978-1-4625-2335-1; Hardcover Price: $120.00 tentative/short discount E-Book Publication Date: November 2015; Prior edition Paper ISBN: 978-1-60623-876-9 Series: Methodology in the Social Sciences; Series Editor: Todd D. Little
Diagnosis and Surgical Management of Crohn's Disease

Objective: To investigate the clinical manifestation,diagnosis and its surgical treatment of Crohn's Disease(CD). Methods: The clinic data of 15 cases collected during recent five years were retrospectively analyzed.Evaluation of the prevalence,clinical and pathological features,investigation process,diagnosis and treatment were made.Results: In 15 cases of CD,the ratio of male to female is 1.5∶1.The mean age and duration of CD at diagnosis is 40 years and 3.5 years respectively.The most common presenting gastrointestinal symptoms of CD were abdominal pain((73.3%)) and diarrhea(40%);blood stools(26.6%) and abdominal mass(20%) were also frequent.Anemia(46.6%),weight loss(33.3%) and fever(33.3%) were common systemic manifestations.The site most commonly involved were ileocolonic region(53.3%) and terminal ileum(40%). Colonoscopic features of CD were discontinuous involvement of inflammatory stricture,deep aphthoid-like ulcers or cobble stoning(58.3%),after biopsy presenting with non-caseating granulomas(41%). The diagnostic rate by post-operation pathology was 86.6%,by colonoscopy with biopsy was 33.3% and by radiological investigation barium enema was 6.6%. There were 46.6% patients due to intestinal obstruction undertook surgical therapy.Conclusion: Symptoms of CD are heterogeneous,the diagnostic biopsy rate is limited,and the misdiagnose rate is relatively high.A single gold standard for the diagnosis of CD is not available.The diagnosis is confirmed by clinical evaluation and a combination of endoscopic,histological,radiological,and/or biochemical investigations.Indications for surgery in CD are recurrent intestinal obstruction, GI bleeding,perforation,intestinal fistula,malignant change and fulminant colitis.Failure of medical therapy and recurrent attack should also be treated with surgery.
Experimental Investigation on the Dynamic Modulus Properties of Methane Hydrate Sediment Samples

Studying the strength and deformation properties of sediments containing gas hydrates is one of the key problems during the process of hydrate resource exploitation. In this paper, considering the effects of temperatures (−5, −3, −1 °C), confining pressures (0.5, 1, 2 MPa) and porosities (40%, 80%) on the dynamic modulus characteristics of sediments containing methane hydrates, several dynamic loading experiments were conducted. The results show that the sediment structure was more easily destroyed under a larger amplitude of dynamic loading. According to the dynamic stress–strain curves, the skeleton curves of the sediment samples were obtained, and it was shown that the deformation behaved with elastic characteristics in the initial stage, and then plastic deformation increased gradually and played a leading role with the increase in external loading. The maximum dynamic elastic modulus of sediments was reduced under the conditions of higher temperature and porosity, and effectively enhanced under higher confining pressure. Finally, on the basis of the Hardin–Drnevich equivalent model, and considering the influences of temperatures and confining pressures on model parameters, a viscoelastic constitutive model applied to analyze the dynamic modulus characteristics of sediments containing methane hydrate was established. The comparison showed that these calculated values of sediments’ dynamic elastic modulus accorded quite well with the experimental values.
Weight Stigma in Healthcare: Utilizing an Educational Presentation to Reduce Potential Obesity Bias in Nursing Students

The purpose of this study was to determine (a) if personal characteristics of nursing students may be significant in potentiating stigma against obese persons (b) if an educational presentation discussing healthcare bias against people affected by obesity and the multi-causal nature of obesity could be useful in improving knowledge about potential barriers and better methods of treatment. A mixed method approach was used for data collection. After the intervention, participants filled out a survey that obtained demographic data, data about attitudes towards obese persons in the form of a Likert scale, and data about knowledge learned in the presentation in the form of open ended short answer questions. The results of the study found that the students regardless of demographic disagreed least with the idea that anyone can lose weight if they simply try harder. It was observed that nearly all participants were surprised with the information presented regarding barriers to weight loss or with prevalence of stigma in healthcare; although all had reported that they had witnessed weight discrimination in a healthcare setting. Recommendations for future research include developing studies involving more students from a larger range of nursing programs. Recommendations for practice include creating a more holistic education on obesity to improve knowledge and awareness on the multifactorial nature of obesity to improve patient care and global health. WEIGHT STIGMA IN HEALTHCARE Mullaney 5
Distilled water and ethyl alcohol boiling heat transfer on selected meshed surfaces

The article deals with the problem of pool boiling heat transfer enhancement on metal wire mesh coatings made of copper and phosphor bronze at nucleate boiling of distilled water and high purity ethyl alcohol under ambient pressure. The tests have been performed on horizontal samples containing different microstructures produced with the sintering technology. The samples were attached to the heating block with soldering. As a result of the experiments, boiling curves were obtained, describing the relationship between the dissipated heat flux and the superheat values for each specimen. A considerable augmentation of heat flux has been recorded for the meshed surfaces in relation to the smooth reference surface without any coating. Generally, the highest enhancement was recorded for the low superheat values. The presented test results have been discussed and then compared with selected correlations available in literature for nucleate boiling heat transfer on microstructure coated surfaces.
SOIL PHYSICAL ATTRIBUTES BEFORE AND AFTER MANAGEMENT UNDER SOWING FORWARD SPEED

The soil management system affects physical attributes, and the forward sowing speed can increase or decrease its results. Thus, this work aimed to evaluate management systems before and after soil mobilisation and forward sowing speed on soil physical attributes. Thus, an experiment was conduct in a completely randomized block design with four replications and six soil management systems: no tillage (NT), medium harrowing (MH), subsoiling operation (S), subsoiling and medium harrowing operations (S+MH), cross-subsoiling and medium harrowing (S+MH), and ploughing and two medium harrowing (P+2MH), and four forward sowing speeds: 3.1, 5.1, 5.8, and 7.9 km h −1 , applied in the subplots. Soil management affects soil
Microgrids Literature Review through a Layers Structure

Within a distributed generation (DG) system, microgrids (MGs) are an alternative approach that may provide both resiliency and efficiency benefits. In this review, an analysis of both research and industrial documents was done. In order to establish a solid foundation of the MGs concept, a comparison of various definitions written by distinguished authors has been made. Segmenting the information of MGs into layers facilitates its analysis, search, and comparison. Therefore, this paper continuous with a layer approach from other studies and incorporates the concept of the environment as a key element that has a high impact on the microgrid functional structure. With the foundation of the MG concept, an exhaustive literature review has been developed about the main microgrid layers, such as business, standard, climate, infrastructure or control, and operation.
A Survey on the Detection Algorithms for False Data Injection Attacks in Smart Grids

Cyber-physical attacks are the main substantial threats facing the utilization and development of the various smart grid technologies. Among these attacks, false data injection attack represents a main category with its widely varied types and impacts that have been extensively reported recently. In addressing this threat, several detection algorithms have been developed in the last few years. These were either model-based or data-driven algorithms. This paper provides an intensive summary of these algorithms by categorizing them and elaborating on the pros and cons of each category. The paper starts by introducing the various cyber-physical attacks along with the main reported incidents in history. The significance and the impacts of the false data injection attacks are then reported. The concluding remarks present the main criteria that should be considered in developing future detection algorithms for the false data injection attacks.
Indirect Visual Simultaneous Localization and Mapping Based on Linear Models

This paper proposes an indirect visual simultaneous localization and mapping (V-SLAM) for large-scale outdoor environments based on linear models. With the scale-invariant feature transform (SIFT) algorithm, a design combining key-frame insertion and map management is proposed to avoid redundant computation and unreliable landmarks. Then, an iterative linear equation is employed to update landmarks. With the supplement of reliable map data, absolute camera poses can be obtained using a simple linear equation based on a linearity index. In addition, a linear model helps the system to detect candidates of looped frames and discard invalid loops by means of an outlier weight function. If a loop is detected, an improved trajectory bending algorithm is introduced to optimize the estimations of poses and landmarks. To evaluate the effectiveness of the proposed approach, extensive experiments are conducted using various sequences from a well-known public dataset. Experimental results show that the proposed V-SLAM outperforms other existing methods in terms of various metrics.
Balancing daylight and overheating in low-energy design using CIBSE improved weather files

A new set of CIBSE weather files for building performance simulation was recently developed to address the need for better quality solar data. These are essential for most building performance simulation applications, particularly for daylighting studies and low-energy building design, which requires detailed irradiation data for passive solar design and overheating risk analysis. The reliability of weather data becomes paramount when building performance is pushed to its limits. Findings illustrate how principles of good window design can be applied to a case study building, built to the Passivhaus standard, and how its expected performance is affected by the quality of solar irradiation data. Analyses using test reference years were most affected by changes in the solar radiation model (up to 8.3% points), whereas for design summer years the maximum difference was 1.7% points. Adopting the new model caused overheating risk to be classified as more severe using test reference years than design summer years, prompting a discussion on the design summer year selection method. Irradiance data measured on-site were used as a benchmark to evaluate the new solar radiation model, which was found to significantly improve the accuracy of irradiance data within weather files and so the reliability of overheating assessments. Practical application : CIBSE weather files are widely used for compliance verification of building performance in the UK context. This paper tests how the introduction of a new solar radiation model in weather files will affect daylighting and overheating simulation results. Examples are given on how low-energy building design considerations driven by advanced simulation techniques can help reaching indoor visual and thermal comfort requirements.
A Power Calculation Algorithm for Single-Phase Droop-Operated-Inverters Considering Linear and Nonlinear Loads HIL-Assessed

The active and reactive powers, P and Q, are crucial variables in the parallel operation of single-phase inverters using the droop method, introducing proportional droops in the inverter output frequency and voltage amplitude references. P and Q, or P-Q, are calculated as the product of the inverter output voltage and its orthogonal version with the output current, respectively. However, when sharing nonlinear loads these powers, Pav and Qav, should be averaged by low-pass filters (LPFs) with a very low cut-off frequency to avoid the high distortion induced by these loads. This forces the droop method to operate at a very low dynamic velocity and degrades the system stability. Then, different solutions have been proposed in literature to increase the system velocity, but only considering linear loads. Therefore, this work presents a method to calculate Pav and Qav using second-order generalized integrators (SOGI) to face this problem with nonlinear loads. A double SOGI (DSOGI) approach is applied to filter the nonlinear load current and provide its fundamental component to the inverter, leading to a faster dynamic velocity of the droop-based load sharing capability and improving the stability. The proposed method is shown to be faster than others in the literature when considering nonlinear loads, while smoothly driving the system with low distortion levels. Simulations, hardware-in-loop (HIL) and experimental results are provided to validate this proposal.
A Regulated Charge Pump with Extremely Low Output Ripple

In this paper, we present a regulated charge pump with extremely low output ripple (<1 mV) that can be used for accurate programming of nonvolatile memory. We present a technique to include a low-drop-out regulator inside the charge-pump regulation loop to reduce the ripple. This charge pump was fabricated in a 0.35 μ m standard CMOS process. The die area of this charge pump is 0.163 mm 2 . While operating from a 2.5 V supply, this charge pump generates regulated voltages up to 10 V.
Internal limiting membrane removal in the management of rhegmatogenous retinal detachment with macular holes

Objective To evaluate the effect and complications of the internal limiting membrane removal for rhegmatogenous retinal detachment with macular hole.Methods 15 eyes of rhegmatogenous retinal detachment with macular hole were treated with pars plana vitrectomy,photocoagulation and cryopexy retinal tears,indocyanine green assisted peeling retinal internal limiting membrane and gas tamponade.Macular hole closing was checked by OCT.Results Average follow-up was 13 months.Retina was reattached after the first operation in 14 eyes.The successful rate was 93.33%. Macular holes were colsed in 13 eyes by OCT checked.The closing rate was 86.67%. The visual acuity was improved in all cases.The complications included temporary high intraocular pressure,cataract and so on.Conclusions The internal limiting membrane removal for rhegmatogenous retinal detachment with macular hole was effective surgery.More studies was needed for evaluating the operation.
6.78 MHz Wireless Power Transmitter Based on a Reconfigurable Class–E Power Amplifier for Multiple Device Charging

This article presents a 6.78 MHz wireless power transmitter based on a reconfigurable Class-E power amplifier for various and multiple device charging. To maintain high–efficiency for various power receiving devices, an optimized offset transmission line based on lumped components and a susceptance switching circuit are proposed at the load network of the differential Class-E power amplifier. The offset transmission line changes the load impedances of the Class-E power amplifier for the various receivers to the high-power and high–efficiency region. In addition, the susceptance switching circuit further shifts the load impedances of the Class-E power amplifier for some receivers to the high-power and high–efficiency region. To verify the proposed offset line and susceptance switching circuit, a 6.78 MHz wireless power transmitter was implemented and verified for various receivers. For three different receivers, the transmitter maintains optimal transmission efficiencies for received power levels of 39.7, 16.3, and 8.5 W. A peak system efficiency of 81.4% was achieved when the received power is 31.9 W. The system efficiency maintained well around 74.2 and 70.6% for the received power of 16.3 and 8.5 W, respectively.
CT Diagnosis of the Allergic Bronchopulmonary Aspergillosis

Objective To improve understanding concerning radiographic manifestations of Allergic bronchopulmonary aspergillosis(ABPA). Materials and Methods The diagnosis of Allergic bronchopulmonary aspergillosis was base on clinical and radiological features,and was verified with lung biopsy and pathological examination in 5 cases. All date were analyzed and reviewed. Results Central bronchiectasis and high-attenuation mucus were demonstrate in 5 cases. Ground-glass opacities,non-homogeneous patchy consolidation and tree-in-bud sign were seen in both lungs. Conclusion ABPA has characteristic findings in CT examinations. It is important to appreciate CT manifestations of ABPA.
Model of variability estimation: factors influencing human prediction and estimation of variability in continuous information

ABSTRACT Understanding the variability of trends and other continuously distributed quantities is a vital ability underlying many safety critical decisions, such as how widely to search for a downed aircraft, or whether to prepare for evacuation in the face of an uncertain hurricane or hurricane track. We first review the sparse research on this topic which indicates a general systematic tendency to underestimate such variability, akin to overconfidence in the precision of prediction. However, the magnitude of such underestimation varies across experiments and research paradigms. Based on these existing findings, and other known biases and vulnerabilities of the perception and cognition of multiple instances, we define the core elements of a computational model that can itself predict three measures of performance in variability estimation: bias (to over or underestimate variability), sensitivity (to variability differences) and precision (of variability judgements). Factors and approximate weighting in influencing these measures are then identified regarding attention, the number of instances across whose variability is estimated, the time delay affecting the memory system employed, familiarity of material, the anchoring heuristic and the method of judgement. These are then incorporated into foundations for a linear additive model.
Nitric Oxide Affects Proliferation of Stomach Cancer Cell Line BGC- 823

Objectives：To investigate the possib le effects of nitric oxide on growth and prolife ration in gastric cancer cell． Methods：Gastric cell line BGC－８２３was used as a model，and sodium nitropruss ide wa s used as nitric oxide donor in vitro．Morphological changes on c ellular and sub－cellullar structur es were observed，photographed with phase contrast microscopy，fluorescent microscop y，and transmission electron microscopy．MTT（ thiazolyl blue tetrazolium bromide）reduc－tion assay and AO ／EB double stainin g were employed to evaluate the growth inhibition of sodium nitroprusside to BGC －８２３cells and the apoptosis index of BGC－８２３cells induced by sodium n it roprusside，respectively．DNAfr agmenta－tion was detected by agarose gel electr ophoresis．Sub－diploid DNA of the cell was analyzed by flow cytometry．Results ：Nitric oxide donor sodium nitroprusside dose－dependently inhibited ce ll grow th and proliferation and indu ced apoptosis of BGC－８２３cells（P＜０．０１）． Nitric oxide scavenger N－acetylcysteine could reduce sodium nitropru sside inhi bitory and apoptotic effect（P＜０．０１）．Morphological changes such as apop t itic bodies，chromatin condensati on were observed along with sub－diploid peak on flow c ytometric analysis and DNA ladder．Conclusions：Nitric oxide not only inhibits cell growth and proliferation，but induces apoptosis and necrosis of hu man gastric cancer cells in vitro．