Miracle-dz/UniFAR-FTUs huggingface dataset:
The Research on Healthy City Planning Based on GIS

In this paper, the GIS-based city planning including spatial decision support, planning content and target were analyzed and discussed according to the characteristics of healthy city and the needs of sustainable development. The main contradiction during healthy city construction in China is the contradiction between economic growth and the effective use of ecological resources in the industrialization process. The construction of healthy city is aimed at improving human health level and making the city development in a benign track.
Übersicht über die Entwicklung der invasiven Spiroergometrie (iCPET)

Zusammenfassung Die Standardmethode zur Messung der pulmonalen Hämodynamik ist der Rechtsherzkatheter (RHK) unter Ruhebedingungen, welcher international standardisiert ist. In den letzten Jahren wurden Bemühungen unternommen, auch die methodischen Aspekte des RHK unter Belastung zu vereinheitlichen und die somit gewonnenen Daten hinsichtlich ihrer prognostischen Aussagekraft zu definieren. Die Spiroergometrie als eine nichtinvasive Methode kann zusätzliche Aspekte der Pathophysiologie unter Belastung darstellen, und beide Methoden werden zunehmend kombiniert (als sog. invasive Spiroergometrie, iCPET) und ermöglichen eine sehr differenzierte Analyse der Belastungsreaktion. In dieser Übersicht werden die bisherigen Erfahrungen mit der invasiven Spiroergometrie dargestellt und insbesondere methodische Details erläutert. Die bisherigen Daten zur invasiven Spiroergometrie zeigen, dass diese komplexe Untersuchung besonders bei der Differenzierung der zugrundeliegenden Ursachen einer unklaren Dyspnoe hilfreich ist. Es zeichnet sich ab, dass über die Kombination aus hämodynamischen sowie ventilatorischen und gasanalytischen Daten schon frühe Formen einer kardialen bzw. pulmonalvaskulären Störung zu detektieren sind. Durch die zunehmende Validierung gewonnener Parameter aus der iCPET sind zukünftig Grenzwerte zur Unterscheidung normaler vs. pathologischer Belastungsreaktionen zu erwarten, die genauer als durch die alleinige Anwendung der jeweiligen Methoden möglich werden.
Less Is More? The Association between Survival and Follow-Up Protocol after Treatment in Oral Cavity Cancer Patients from a Betel Quid-Prevalent Region

The optimal follow-up protocol after treatment of oral cavity cancer patients is still debatable. We aimed to investigate the impact of frequency of different imaging studies and follow-up visits on the survival of oral cavity cancer patients. The current study retrospectively reviewed oral cavity cancer patients who underwent surgical intervention in our hospital. Basic demographic data, tumor-related features, treatment modalities, imaging studies, and clinic visits were recorded. Cox proportional hazard model was used to examine the influence of variables on the survival of oral cavity cancer patients. In total, 741 patients with newly diagnosed oral cavity cancer were included in the final analysis. Overall, the frequency of imaging studies was not associated with survival in the multivariate analysis, except PET scan (hazard ratio [HR]: 5.30, 95% confidence interval [CI]: 3.57–7.86). However, in late-stage and elder patients, frequent head and neck CT/MRI scan was associated with a better prognosis (HR: 0.55, 95% CI: 0.36–0.84; HR: 0.52, 95% CI: 0.30–0.91, respectively). In conclusion, precision medicine is a global trend nowadays. Different subgroups may need different follow-up protocols. Further prospective study is warranted to clarify the relationship between frequency of image studies and survival of oral cavity cancer patients.
Surface Shape Optimization of Tire Pattern by Optimality Criteria

Abstract A new optimization procedure to design the surface shape of tire patterns is proposed in which the optimality criteria is combined with finite element method. The effectiveness of this new procedure to control tread‐element contact pressure distribution was verified by building and testing the rubber block samples. The objective function was the pressure uniformity on the block and the constraint was to keep the contact area in the optimization process. The shape of the optimized surface was round at the edges and concave at the center where the pressure was large in the flat surface block. The pressure of the block with the optimized surface became uniform and the friction coefficient increased 10% on dry compared with the flat surface block. Furthermore, this procedure was applied to complicated block shapes such as tire patterns and it was verified that the optimized surface effectively improved vehicle handling, riding comfort and irregular wear.
Critical machines preventive maintenance policies for group technology shops

This study develops a set of preventive maintenance policies, based on the idea of critical machines, for use in group technology shops. These policies designated certain machines in the shop as critical. When a critical machine breaks down, it is repaired and preventive maintenance is applied to a block of machines (either the remaining machines in the cell, the other machines of the same type or all of the remaining machines in the shop). Simulation of a complex group technology shop was used to compare twelve definitions of criticality and three preventive maintenance conditions. The definition of criticality was not found to be a major cause of performance differences between shops, since in many cases, the same machines were critical by any definition. The application of preventive maintenance to all machines in the shop when a critical machine had failed led to the best shop performance, indicating that the reduction in machine interference caused by doing so was more important than the unique featu.
Drop impact test - mechanics & physics of failure

This paper deals with the mechanics and physics of board-level drop test with the intention of providing the fundamental understanding required to design and analyse the results of a drop test. Three finite element analyses were performed to understand the physics of failure in board-level drop impact: (i) velocity impact of a PCB - modeled as a beam; (ii) velocity impact of a PCB with centrally mounted package - modeled as a beam; (iii) velocity impact of a drop assembly - solid elements with submodeling. Parametric studies have been performed on the solid model for a number design variables: drop height, fall plate thickness, PCB length, PCB thickness, solder bump height, solder bump size, solder bump number, and impact cone diameter. Differential flexing as well as inertia has been identified as the key failure drivers. In both cases, the transverse stress, S33, is the most critical stress component. Geometrical stress concentration and intermetallics of the interconnection are critical in the impact strength of interconnection.
Purchase Intention on Halal Food Products: Non-Muslim Consumers’ Perception

This research examined the perceived behavioural control, attitude and subjective norms with the presence of moderator variables i.e., religiosity and social media that influence the non- Muslim consumers’ buying intention towards halal food products. The q uestionnaires were distributed to 310 non-Muslim consumers in Penang, Malaysia. Data was analysed using Partial Least Square approach. The research found that perceived behavioural control, attitude and subjective norms are positively related to buying intention of halal food products. Furthermore, religiosity is found to be significant in moderating the relationship between subjective norms towards halal food product buying intention. But religiosity is not a significant moderator in the relationship between attitude and perceived behavioural control towards purchase intention. Similarly, social media only moderates the relationship between subjective norms towards halal food product buying intention. The result of the findings is beneficial for researchers in understanding the buying intention of halal food products among the non-Muslim consumers. The outcome of the research could serve as an essential guidance to the halal food industry player.
Synthesis, Properties, and Selected Technical Applications of Magnesium Oxide Nanoparticles: A Review

In the last few decades, there has been a trend involving the use of nanoscale fillers in a variety of applications. Significant improvements have been achieved in the areas of their preparation and further applications (e.g., in industry, agriculture, and medicine). One of these promising materials is magnesium oxide (MgO), the unique properties of which make it a suitable candidate for use in a wide range of applications. Generally, MgO is a white, hygroscopic solid mineral, and its lattice consists of Mg2+ ions and O2− ions. Nanostructured MgO can be prepared through different chemical (bottom-up approach) or physical (top-down approach) routes. The required resultant properties (e.g., bandgap, crystallite size, and shape) can be achieved depending on the reaction conditions, basic starting materials, or their concentrations. In addition to its unique material properties, MgO is also potentially of interest due to its nontoxicity and environmental friendliness, which allow it to be widely used in medicine and biotechnological applications.
Margins Of Reality: The Role Of Consciousness In The Physical World

BEN KESSLER In the midst of ecological catastrophe, indigenous persecution, and the attempted mechanization of the living world, the beauty of the earth remains defiantly vibrant. The voice of the world still speaks in tongues of wind and water, feather and flame, whether we listen or not. Alternately lyric and scientific, critical and moving, Kessler examines the relationships between nature and language, colonial and native cultures, and extinction and memory, and in doing so presents a unique vision of our place in an ancient, fragile living world.
Wind Turbine Anomaly Identification Based on Improved Deep Belief Network with SCADA Data

This article presents a novel fault diagnosis algorithm based on the whale optimization algorithm (WOA)-deep belief networks (DBN) for wind turbines (WTs) using the data collected from the supervisory control and data acquisition (SCADA) system. Through the domain knowledge and Pearson correlation, the input parameters of the prediction models are selected. Three different types of prediction models, namely, the wind turbine, the wind power gearbox, and the wind power generator, are used to predict the health condition of the WT equipment. In this article, the prediction accuracy of the models built with these SCADA sample data is discussed. In order to implement fault monitoring and abnormal state determination of the wind power equipment, the exponential weighted moving average (EWMA) threshold is used to monitor the trend of reconstruction errors. The proposed method is used for 2 MW wind turbines with doubly fed induction generators in a real-world wind farm, and experimental results show that the proposed method is effective in the fault diagnosis of wind turbines.
An engineering approach to the dynamic control of space robotic on-orbit servicers

Abstract Robotic on-orbit servicing is the key to the commercial development of a space robotics infrastructure. A major technical difficulty has been the problem of control of the robotic manipulators mounted onto a freeflying platform in space. The problem of control is directly related to the fact that manipulator motions exert reaction effects on the mounting spacecraft. A solution to this problem is outlined-one in which no fuel is expended and that demands no excessive computational resources that would otherwise preclude real-time performance.
Contemplating Potential Chemical Therapeutic Options to Combat Marburg Virus

Background: Marburg virus (MARV) belongs to Filovirus, which cause deadly hemorrhagic fever in humans. Due to its highly dangerous potential, not much work has been done and its treatment has still to be found yet. Objective: The aim of this study was to demonstrate potential therapeutic options against MARV. There is no therapy discovered for the treatment of MARV infection, however there are certain therapeutic options, which only enhance the life span of infected ones. Material and Methods: A literature search was performed by using the keywords; Chemical approaches against MARV, therapeutic options against Marburg, in Pubmed, Bioline International, BioOne, ScienceDirect and Google scholar. Results: Sixty-five different studies dating from 1994 to May 2021 were included in this study. The activity of certain drugs is dependence upon induction tissue factors and fibrin, while some inhibit cell entry. Several experiments need to be conducted on drugs to examine their potential cure. Current study elaborates up to date chemical approaches as potential therapeutic options to combat Marburg Virus including effects of Protein Inhibitors, Azithromycin, Tamoxifen, Chloroquine, Digitoxin, Tetrandrin, Histamin Receptor, 5HT, Serotonin Receptor, Aminomethyl Benzamide, Monoclonal Antibodies (mAbs), VSV Based Vaccines, Glycoprotein (GP) Pseudoviruses, Interferons (IFNs), G-Protein coupled Receptors, Tyro-3 Receptor Tyrosine Kinase Family, Vaccines with Alpha-Virus Replicons, Inhibitors of ER α-glucosidases, Ester Prodrugs of IHVR-19029, Favipiravir, Remdesivir, Glycosaminogilycans, Adenovirus Serotype 5 (ADV 5), Ribavirin, and several others. Conclusion: Although accurate treatment and cure of MARV is not available, however several chemical therapeutic options can be utilized to symptomatically treat the MARV infected patients.
Aggregated modelling of wind parks in power system dynamics simulations

Increasing numbers of wind turbines are connected to electrical power systems, in order to reduce the adverse environmental impact of conventional electrical power generation. A tendency can be observed to erect these turbines in wind parks, connected to the high voltage transmission grid. These parks effect the dynamic behaviour of power systems, because in wind turbines generator types that are different from the conventional synchronous generator are used. To investigate the impact of a wind park on the dynamics of the power system to which it is connected, an adequate model is required. In order to avoid the necessity of developing a detailed model of a wind park with tens or hundreds of wind turbines and their interconnections and to calculate the wind speed signal for each individual turbine, aggregated wind park models are needed. In the paper, aggregated models for wind parks equipped with either constant or variable speed wind turbines are presented. It is shown that results obtained with an aggregated model and with a detailed model show a high degree of correspondence, both for normal operation and for disturbances.
The Length-Dependence of the 1/f Noise of Graded-Channel SOI nMOSFETs

This paper describes a low-frequency (LF) noise study of Graded- Channel Fully Depleted (FD) Silicon-on-Insulator (SOI) n-channel MOS transistors, with special emphasis on the length dependence. It is shown that the LF noise is predominantly 1/f-like with a current noise spectral density behaving in most cases according to the trapping model. While a clear improvement in the linear transfer characteristics is obtained for the GC structure, compared with the uniformly doped FD or the undoped intrinsic devices, the LF noise magnitude is found to be larger, which may be detrimental for analog/RF applications. It is demonstrated here that the higher noise is associated with the extra current in the GC nMOSFET, giving rise to excess fluctuations which are probably associated with generation-recombination events at the boundary between the extrinsic and the intrinsic part of the device.
Lorentz force eddy current testing: a novel NDE-technique

Purpose – The purpose of this paper is to present a novel electromagnetic non-destructive evaluation technique, so called Lorentz force eddy current testing (LET). This method can be applied for the detection and reconstruction of defects lying deep inside a non-magnetic conducting material. Design/methodology/approach – In this paper the technique is described in general as well as its experimental realization. Besides that, numerical simulations are performed and compared to experimental data. Using the output data of measurements and simulations, an inverse calculation is performed in order to reconstruct the geometry of a defect by means of sophisticated optimization algorithms. Findings – The results show that measurement data and numerical simulations are in a good agreement. The applied inverse calculation methods allow to reconstruct the dimensions of the defect in a suitable accuracy. Originality/value – LET overcomes the frequency dependent skin-depth of traditional eddy current testing due to t.
Electro-optic wafer beam deflector in LiTaO3

A novel electro-optic beam deflector is reported based on ferroelectric domain inversion extending through the thickness of a Z-cut LiTaO3 wafer. The selective domain inversion is achieved by electric-field poling assisted by proton exchange, rather than proton exchange followed by rapid thermal annealing. The deflection sensitivity of the device was measured to be 5.0 mrad/KV. This is 93% of the theoretical value for this geometry, and a significant improvement over the value of 80% of theoretical previously reported for a waveguide deflector.
NOVEL ELECTRIC FIELD EXPOSURE CONTROL METHODS FOR MULTI-STORY BUILDINGS INSTALLED IN VICINITY OF HIGH-VOLTAGE APPARATUS USING FEM

Facilities and buildings installed nearby high voltage equipment and electric field exposure is always a serious threat to the health of organisms and can have a significant impact on the functioning of sensitive and vital organs such as the heart and brain. Therefore, it is necessary to study the electromagnetic field value in these areas to control the intensity and restrict the induced value regarding to international recommendations. In this paper, the effects of 230KV transmission line electric fields on the environment are examined by proper FEM software.The model under consideration in this project is a four story building adjacent to the 230KV transmission line.At first, the distance between the building and high voltage transmission lines and its relationship to the intensity of the electric field is examined, and then the intensity of the electric field is compared to the standards of the International Commission on Non Ionizing Radiation Protection (ICNIRP). To continue, in places where the electric field exceeds the standard level value, solutions to reduce the intensity of the electric field to the tolerable value have been proposed.The first solution is to use a metal shield around the building as a Faraday cage, which weakens the potential for electric field value by creating an enclosed surface, the reduction rate is 4700%,both complete cage shape and incomplete cage shapes are considered in this study which reduces the exposure value to 62.5% of its initial value. The second approach to reducing the electric field is to use protective conductor paints against electromagnetic fields. In the following study, the effect of using trees as a barrier against electromagnetic radiation will be examined. Finally, the three proposed solutions are compared in terms of environmental constraints, economic justification, and the reduction in electric field value.
Individual variation in acquisition of voicing contrasts by classroom learners of French

The present study examines the production of voicing by English-speaking learners of French in a traditional classroom environment, focusing on the juxtaposition between group patterns and individual tendencies. Thirty-one intermediate-level learners completed word-reading production tasks in French and English, and voice onset time was measured in word-initial bilabial stops. At the group level, results demonstrated strong interference from English in participants’ French, especially in the production of voiceless stops. In contrast, voiced stops overall were more target-like, revealing an asymmetry in the acquisition of the two members of the phonological distinction. At the individual level, much variability was observed both in the relative attainment of pronunciation targets and in the alignment between participants first and second language pronunciation patterns, ultimately highlighting the need for future research to consider individual trends in order to understand L2 speech acquisition in a more comprehensive manner.
Data sampling technique (DST) for measuring surface waving

As the manufactured parts in aerospace and automotive industries tend to be larger and more complex, the inspection process becomes a difficult and timeconsuming one. To decrease inspection costs and time, the optimisation of the required Surface Sampling Points (SSP) is crucial. This paper describes a data sampling technique (DST) for the inspection of waving surfaces of parts. This technique provides the minimum number of SSP required to reconstruct accurately the waving surface. The developed DST comprises two steps: (1) trigonometric polynomial approximation of the curvilinear segments, at certain orthogonal sections on the waving surface, and (2) estimation of the critical frequency of the approximated waving sections, leading to the minimum number of SSP. The pilot implementation of the DST has been performed on a waving wing surface and has been tested using industrial data. The accuracy and the efficiency of the DST has been estimated through (1) the comparison of theoretical (CAD) profiles with the surface profiles measured using the current sampling method and with the ones derived using the developed sampling technique, and (2) the comparison of the sampling intervals extracted by DST and the ones extracted by analysing past measurements with Discrete Fourier Transform (DFT).
Recurrent-fuzzy-neural-network sliding-mode controlled motor-toggle servomechanism

The dynamic responses of a recurrent-fuzzy-neural-network (RFNN) sliding-mode controlled motor-toggle servomechanism are described. The servomechanism is a toggle mechanism actuated by a permanent magnet (PM) synchronous servo motor. First, a total sliding-mode control system, which is insensitive to uncertainties including parameter variations and external disturbance in the whole control process, is introduced. In the baseline model design a computed torque controller is designed to cancel the nonlinearity of the nominal plant. In the curbing controller design an additional controller is designed using a new sliding surface to ensure the sliding motion through the entire state trajectory. Therefore, in the total sliding-mode control system the controlled system has a total sliding motion without a reaching phase. Then, to overcome the two main problems with sliding-mode control, a RFNN sliding-mode control system is investigated to control the motor-toggle servomechanism. In the RFNN sliding-mode control system a RFNN bound observer is utilized to adjust the uncertainty bounds in real time. To guarantee the convergence of tracking error, analytical methods based on a discrete-type Lyapunov function are proposed to determine the varied learning rates of the RFNN. Simulated and experimental results due to periodic sinusoidal command show that the dynamic behaviors of the proposed control systems are robust with regard to uncertainties.