Miracle-dz/UniFAR-FTUs huggingface dataset:
A Product Concept Generation and Evaluation Method Based on Knowledge

Conceptual design is an important stage in product design, and function design is the basis of conceptual design. But the product that rely on the designer’s experience always exists preferences and defects because of the limitations of designer’s knowledge. To solve this problem, this paper proposed a product concept generation and evaluation method based on knowledge. Firstly, we adopted syntactic dependency parsing (SDP) to extract the main semantics structures from the existing product in the market. Secondly, word embedding was adopted for the vectorization of the main function structure, then a product base and a function base was constructed. Normally, every kind of product has its basic types of functions, so we used K-means to classify the functions. We then randomly choose a function from each cluster to combine a new product. As for the evaluation of each product, we calculated quantitatively the novelty, diversity and feasibility of solutions by semantic similarity. According to the comparison of the solutions and the existed products in novelty, diversity and feasibility. We can deduce that our methodology is feasible.
EXPERIMENTS TO DETERMINE THE SIMULATIED ANNEALING PARAMETERS CASE STUDY IN VRP

In this paper we describe the distribution problems faced by one of the largest retailers in the distribution and sale of fast moving consumer goods in the U.K. The paper describes an initial solution method, which is then improved by a novel form of simulated annealing. A computational experiment for the improvement algorithm has been also carried out in order to illustrate the flexibility of the computer programming and to demonstrate how it can be used to address broader management issues.
Query Optimization of Massive Social Network Data Based on HBase

Sina and Tencent microblog social network data (SND) are the basis for the development of top-level applications such as hot topic tracking and key person association analysis. However, the time and space cost of these huge and increasing SND in storage and retrieval brings challenges to traditional databases. The current mainstream approach is to use Hadoop and Hive to provide related services, but it can not be applied in real-time processing scenarios. In this study, we present a query optimization scheme based on non-relational database HBase. Firstly, the table structure is designed according to the characteristics of HBase, such as high efficiency of row keys and column family storage. Secondly, Coprocessor is used to build a secondary index, which transforms some field queries into row key queries of index tables, so that it can support flexible queries of SND with scalability and low latency. The experimental results show that the optimized performance can meet the development needs of the upper business.
A comparison of quality management practices in Shanghai and Norwegian manufacturing companies

Records the research that investigates the differences in quality management between Shanghai and Norwegian manufacturing companies. The research is based on a survey supported by the Norwegian Association for Quality Management (NFK) and the Shanghai Association for Quality Control (SAQC). The research reveals major differences between the two parties. Compared with their Norwegian counterparts, Shanghai companies place greater emphasis on quality control and statistical methods while neglecting customer satisfaction and quality assurance. The final conclusion is that, although managers appreciate the importance of quality management, quality management in Shanghai is still focused on internal quality control, which is still far from Total Quality Management (TQM). Practical implications for future improvement in Shanghai companies and foreign joint ventures in Shanghai are discussed. Future research is also discussed.
Utilization of Nuisance Parameter to Increase Positioning Accuracy

In this paper, the accuracy improvement of phase of arrival (POA) based positioning of a tag/receiver is addressed. The linear least-squares estimator introduces a nuisance parameter, which is a function of the tag’s position. This nuisance parameter can be utilized to refine position estimation in order to reduce estimation errors. Measurement outliers and spikes will be removed by applying a recursive average filter.The results show that filtering alone can only reduce the maximum error without significantly affecting the mean error. The employment of the nuisance parameter can improve the positioning accuracy significantly with and without measurement filtering. Using the nuisance parameter with unfiltered measurements reduced the mean and maximum positioning errors by 80% and 51% respectively. The best accuracy can be obtained by utilization of the nuisance parameter with the filtered measurements. The achieved mean and maximum errors were 5 mm and less than 3 cm respectively.
Retrieval of HELP Information for Novice Users of Interactive Computer Systems

Appropriate design of HELP is important, particularly for novice users of software systems. Three methods of controlling HELP displays were evaluated in a text-editing task. The three methods were the initiation of HELP (i.e., user versus computer), the selection of a particular HELP sequence (i.e., user versus computer), and the type of format (i.e., on-line versus hard copy). These three variables were crossed in a between-subjects design along with a control condition of no HELP available to produce a total of nine separate test conditions. All of the various HELP configurations improved time to edit and reduced both the quantity of errors and the number of editing commands when compared with the no-HELP control condition. Additionally, there were differential effects among the various HELP configurations. It was concluded that for novice users, the optimum HELP system configuration was one in which the user controls the initiation and selection of HELP displays, and the information is stored in a hard-copy manual. The implications of this conclusion are discussed in terms of the design of HELP to facilitate browsing and comparison features.
Wheatstone Bridge and Electrolytic Resistor for Impedance Measurements Over a Wide Frequency Range

A versatile Wheatstone bridge is described for alternating current impedance measurements at frequencies from 30 to 10,000,000 cycles. Variable electrolytic resistors have proven very satisfactory both for balancing the bridge and as secondary standards of resistance. A selector switch in each working arm permits any one of nine different combinations of impedances to be connected in the arm so that it is possible to make either direct or substitution measurements against either wire wound or electrolytic resistors. Substitution measurements are made with an electrolytic resistor over the frequency range in 20 minutes, with an impedance accuracy of 0.2 percent. The equipment was designed and has been used primarily for impedance measurements of biological materials.
The Application of An Optimized Convolutional Neural Network Model in Film Criticism

Constructing a model of online film and television commentary sentiment classification can effectively guide film and television producers to comprehensively understand the audience acceptance of film and television works, and improve it. Traditional methods based on sentiment lexicon and machine learning exist in a series of Insufficient: ignore context semantics, too single word, sparse features, etc. Based on the existing convolutional neural network model, this paper systematically optimizes its internal structure, and proposes a NCNM (New Convolutional Neural Network model) model based on multi-sliding window and new pooling method, and uses feature vectors to cluster feature words. In this paper, the Stanford SST dataset and Cornell MRD dataset are used to verify the classification effect of the proposed model. The experimental results show that ncnnm has a certain improvement in the accuracy of the emotional classification of short text video reviews compared with the existing mainstream methods.
Grid Integration Control Algorithm for SPV Based Power System

Adaptive control algorithm for solar photovoltaic system (SPV) fed inverter is presented in this paper. Maximum power from SPV array can also extracted by using given approach. This control algorithm combines ANF technique to generate gate pulses by extracting fundamental load currents for inverter and ANFIS based control to maintain DC link voltage. The proposed control provides efficient harmonics compensation and power quality improvement with grid support. The system includes solar PV array (SPV) array, inverter, ripple filter and linear and non-linear loads. the proposed control technique validated by using various load combination and various irradiance conditions, provides fast response during dynamic conditions. The proposed system is demonstrated by using MATLAB/SIMULINK platform.
Structure-guided enhancement of selectivity of chemical probe inhibitors targeting bacterial seryl-tRNA synthetase

Aminoacyl-tRNA synthetases are ubiquitous and essential enzymes for protein synthesis and also a variety of other metabolic processes, especially in bacterial species. Bacterial aminoacyl-tRNA synthetases represent attractive and validated targets for antimicrobial drug discovery if issues of prokaryotic versus eukaryotic selectivity and antibiotic resistance generation can be addressed. We have determined high resolution X-ray crystal structures of the Escherichia coli and Staphylococcus aureus seryl-tRNA synthetases in complex with aminoacyl adenylate analogues and applied a structure-based drug discovery approach to explore and identify a series of small molecule inhibitors that selectively inhibit bacterial seryl-tRNA synthetases with greater than two orders of magnitude compared to their human homologue, demonstrating a route to selective chemical inhibition of these bacterial targets.
Aminoglycosides in Food: Recent Updates on the Pretreatment and Analysis Methods

ABSTRACT Aminoglycosides, as effective, broad-spectrum antibiotics, have been widely used in animal husbandry. These antibiotics can cause potential hazards to human health, as they can accumulate through the food chain. To obtain a better control of food quality and safety, developing effective and sensitive methods for the pretreatment and determination of aminoglycosides is essential. This review aims at elucidating on the health risk-toxicology of aminoglycosides in food and to provide a comprehensive overview of aminoglycosides pretreatment and detection methods since 2010. Moreover, novel pretreatment methods such as microextraction, QuEChERS and online technology as well as novel analytic methods such as orbitrap MS, are summarized. Furthermore, we elaborate and compare the merits and demerits of diverse pretreatment and analytical methods and suggest their future prospects.
Bluetooth End to End

From the Book: PrefaceIn today's mobile society, the need to connect communications and networking devices together with a physical cable is becoming more and more of a nuisance. With the emergence of the digital cellular telephone and handheld (and highly portable) computing devices, users are looking for a way to connect to their local network, the Internet, or even their own desktop computer from wherever they might be. Several emerging technologies can create a wireless world that supports this kind of freedom @md freedom from wires; freedom from land-based telephone systems; and the freedom to access data truly "anytime, anywhere. " The Bluetooth technology, which was born from the cellular industry, is only one of the new cable-replacement technologies. Bluetooth, funny name and all, is being developed to provide mobile users with the levels of freedom they desire. Bluetooth technology is certainly a key part of creating what is being called "The Mobile Society. " In a Bluetooth world, you can connect your handheld device @md be it a cell phone, a notebook computer, or a personal digital assistant (PDA) @md to your network or even to other Bluetooth-enabled devices to create ad hoc, peer-to-peer networks, using wireless technology. If you and a friend want to share data from one Palm Pilot to another, you don't need to hook up with a link cable. Bluetooth technology enables you and your friend to connect up over a wireless link that is automatically configured. In this book, we offer many other examples of how Bluetooth can be put to use. We provide you with both a general overview of the Bluetooth technology and its applications as well as a more technical, but not too technical, look at the components and how Bluetooth operates to support its applications.
Study on the Evolution of Information Sharing Strategy for Users of Medical Cloud

Technological advances are driving the growth of online health communities. However, there are some problems such as low user participation and insignificant social benefits in online health communities. This paper discusses the evolution law of information sharing behavior of members of online health community to study the influence of different behaviors on health information sharing results and explore the ways to improve the level of community information sharing. Based on BA scale-free network (Albert-László Barabás and Réka Albert scale-free network) , this paper established an information sharing behavior model for members of online health community with the evolutionary game theory method, and discussed the influence of different game parameters and initial conditions on the evolution results of information sharing behavior of community patients with the method of numerical experiment.Results: It is found that the key to improve the level of community information sharing is to improve the benefit of patients' information sharing, the proportion of patients sharing information at the initial moment, the degree of network nodes, and reduce the sharing cost. Community managers should improve the information conversion ability and information absorption ability of community patients through offline activities, professional guidance and other forms. At the same time, it can reduce the difficulty and risk of information sharing and strengthen the connection among members, thus comprehensively enhancing the value of the community.
Morphologic and Radiographic Effects of Acids on the Teeth: An in-Vitro Forensic Study

Background: Teeth are generally considered as the most durable structures that resist physical, chemical and biological insults than skeletal tissue. Human identification through dental remains is of prime importance when the remains are found in chemical accidents such as acid attacks or uneventful accident in chemical industries, where soft tissues cannot provide reliable information. Proper examination and analysis of dental remains can provide vital information in forensic context. Objective: The present study aims to evaluate the morphology and radiographic features of teeth after exposure to highly acidic environment. Material and Method : A sample of total 80 extracted permanent teeth was used. Teeth were exposed to different acidic conditions like - 35% hydrochloric acid (30ml), 69% nitric acid (30ml), 98% sulphuric acid (30ml), 85% phosphoric acid (30ml) at intervals of 30 min, 1 hr, 2 hr, 4 hr, 8 hr, 16 hr and 24 hr. Before and after exposure to acids, radiographic and stereomicroscopic images were taken. Results: The effect of acids on teeth depends on various factors such as the type and concentration of the acid, and also the time period. The morphological and radiological changes normally includes - changes in dimensional stability, changes in texture and colour, changes in the appearance of fissures and cracks and also appearance of the fracture and fragmentation of the samples. Conclusion: Teeth can serve as a tool in identification of the victim when in contact with acidic condition. Hydrochloric acid, nitric acid and sulfuric acid cause changes in the teeth and it is possible to deduce the approximate duration for which a body has been immersed in acid based on the changes observed. The characteristics of teeth may be of assistance in cases of human identification where soft tissue features are unavailable.
Multiple element concentration in the grain of spring barley (Hordeum vulgare L.) collection

Abstract Multiple element analyses were carried out to investigate variation in element concentrations in barley grains of 336 genotypes. Of 13 elements analyzed, Ba ranged from 0.2 to 8.9 mg kg−1, Ca from 186.4 to 977.5 mg kg−1, Cu from 1.5 to 9.8 mg kg−1, K from 353.2 to 7721.5 mg kg−1, Mg from 1049.8 to 2024.2 mg kg−1, Mn from 8.1 to 22.9 mg kg−1, Na from 55.9 to 627.9 mg kg−1, P from 2272.9 to 5428.8 mg kg−1, S from 880.7 to 1898.0 mg kg−1, Si from 19.1 to 663.2 mg kg−1, and Sr from 0.35 to 2.62 mg kg−1 in the barley grain. The least square means showed high Zn, Fe, Mg, P, and S concentration in AM-64 and AM-228 genotypes. The principal component analysis of element concentration showed four PCs explained 64.3% total variance. Strong positive correlations (p < 0.001) of Fe-Mn, Fe-S, S-Mn, Zn-P, Zn-Mg, Mg-P, Mg-Mn, and Ca-Sr were found. The identification barley genotypes that showed high elements concentration furnish valuable genetic resources for biofortification in future.
Commercial Real Estate at the ZLB: Investment Demand and CAPM-WACC Invariance

This paper analyzes the implications of a low interest rate environment (the zero lower bound – ZLB) for the demand for commercial real estate. Investment demand is conventionally assessed by return and risk adjusted return, as given by net present value (NPV) and the Sharpe-ratio. The main question of the paper is whether there is any asymmetry between different evaluation models for the discount rate across different levels of the interest rate. First, we apply a conventional net-present value (NPV) approach, where the weighted average cost of capital (WACC) and the capital asset pricing model (CAPM) are used for evaluation. Considering the invariance level of systemic risk, we find WACC to be an alternative to CAPM for offensive and defensive investments when interest rates are close to historical averages. However, at the ZLB, WACC is only an alternative for investments if they carry the same risk as the market such that beta values are close to one. Second, we simulate our models using US data to see how the WACC shortcut performs across time, and especially at the ZLB, in this economy. We see differences between the period preceding the financial crisis and the period after 2010, even though the Federal Funds rate is close to zero in both periods. We relate this to the difference in systemic risk between the two periods, and show how results in the latter period is quite similar across evaluation models.
Applications of the multidomain pseudospectral time-domain algorithm for waveguide structures

The authors have analysed the complex waveguide structures by the multidomain pseudospectral time-domain (MPSTD) algorithm, and discussed the design of a filtering procedure through improving the stability of the MPSTD method for the corner singularities. These numerical results of the MPSTD method have shown an excellent agreement with those results of the analytical solution and the traditional finite-difference time-domain method for the resonant frequencies of the waveguide structures. It is evident that the MPSTD method can achieve high efficiency and accuracy when we use to analyse inhomogeneous media and curved objects.
‘It’s being a part of a grand tradition, a grand counter-culture which involves communities’: A qualitative investigation of autistic community connectedness

Autistic people report greater comfort socialising and easier communication with each other. Despite autism being stereotypically associated with lack of social motivation, an autistic community has been described briefly in the literature but is not well understood. Autistic community connectedness may play a role in promoting wellbeing for autistic people. This qualitative study involved interviewing autistic individuals (N = 20) in-person, via a video-based platform, a text-based platform or over email to investigate autistic community connectedness. Critical grounded theory tools were used to collect and analyse the data. There were three elements of autistic community connectedness: belongingness, social connectedness and political connectedness. Belongingness referred to the sense of similarity that autistic people experienced with each other. Social connectedness referred to specific friendship participants formed with other autistic people. Political connectedness referred to a connectedness to the political or social equality goals of the autistic community. Participants described the benefits of autistic community connectedness as being increased self-esteem, a sense of direction and a sense of community not experienced elsewhere. Lack of connectedness involved ambivalence with an autistic identity and/or feelings of internalised stigma. Experiences of autistic community connectedness may have implications for autistic people’s wellbeing, as well as how they cope with minority stress. Lay abstract A sense of being connected to other autistic people has been reported anecdotally. Friendships and connectedness may be important to autistic people and beneficial for their wellbeing. Our research aimed to understand the autistic community by interviewing 20 autistic people about their experiences of being connected to other autistic people. Participants were interviewed in person, over video, using a text-based software to type or over email. Participants detailed three parts of autistic community connectedness: a sense of belonging, social connection with autistic friends and political connectedness. The friendships autistic people had with one another were deemed to be very important to participants because it gave them confidence, provided companionship and made them happy. Some participants did not experience connectedness to the autistic community. These participants also found autism to be less important to their identity and had fewer positive feelings about being autistic. This research is important as it raises awareness that community connectedness is viewed as important to this group. It is possible that community connectedness may help protect the mental health of autistic people when they face stigma or negative life experiences in society.