Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparative analysis of means to control the thermal regime of a cooling thermoelement while minimizing the set of basic parameters

This paper reports a comparative analysis of the thermal regime control means while minimizing a set of basic parameters in various combinations with the indicators of reliability and dynamics of the functioning of a single-stage thermoelectric cooler. The connection has been established between the optimal relative operating current corresponding to the minimum of the set on the relative temperature difference and heat sink capacity of the radiator. The results of calculating the main parameters, reliability indicators, time of entering the stationary mode of operation for various current modes of operation at a fixed temperature difference, thermal load at different geometry of the branches of thermoelements are given. A comparative analysis of the main parameters, indicators of the reliability and operational dynamics of a single-stage cooler under various characteristic current modes of operation has been carried out. Minimizing the set of basic parameters in conjunction with the reliability indicators and operational dynamics of the cooling thermoelement provides a decrease in the refrigeration coefficient up to 40 % compared to the maximum cooling capacity mode, as well as the optimal heat sink capacity of the radiator, the amount of energy expended, the time of entering the stationary mode, the relative intensity of failures. The analysis of the influence of the temperature difference at a predefined thermal load on the relative operating current, the time it takes for the cooler to enter the stationary thermal regime, the heat sink capacity of the radiator, the relative intensity of failures has been performed. The devised method of optimal control over the thermal regime of a single-stage thermoelectric cooler based on minimizing the set of basic parameters makes it possible to search for and select compromise solutions, taking into consideration the weight of each of the limiting factors
Trajectory Generation of Spray Painting Robot Using Point Cloud Slicing

In the trajectory planning process of spray painting robot, an approach to automatic trajectory generation of spray gun using point cloud slicing is presented. Firstly, the point cloud data is obtained by scanning the surface of the workpiece. After the uniform slicing of point cloud model, the spraying position is determined by the average sampling of cross-section contours. Then the normal vectors of the sampling points are estimated. Finally the trajectory of spray gun is generated by offsetting the sampling points along their normal vectors. Experimental results show that the method has good feasibility and effectiveness. The spraying trajectory, direction and distance of spray gun can be controlled accurately, thus the spraying quality and efficiency are improved.
Creating the Multicultural Organization: A Strategy for Capturing the Power of Diversity

Foreword by Paul O'Neill Preface 1. The Challenge of Mastering Diversity 2. A Strategy for Meeting the Challenge 3. Leadership: The First Requirement of Change 4. Leverage Research, Develop Measurement Plans 5. Create Effective Education 6. Align Organizational Systems and Practices 7. Follow Up for Sustainable Results Notes The Author Index
Mapping trajectories of teacher leadership development: a study of Chinese teachers

ABSTRACT The aim of this study was to describe the trajectories of teacher leadership development by investigating the interaction between teachers’ perceptions and practices of leadership at different career stages. A case study design was adopted. Data were collected from four primary school teachers in China through narrative-style, semi-structured interviews, storylines and observations. The results showed that teachers’ perceptions and practices of leadership changed and interacted over time, shaping the trajectories of teacher leadership development. Three leadership development trajectories, influenced by various personal and contextual factors, were identified: perception-driven, bumpy and practice-driven. Adopting an insider’s perspective, this study theoretically contributes to the knowledge of teacher leadership by describing and categorizing the dynamic changes in teachers’ perceptions and practices of teacher leadership. Moreover, this study has revealed how the interaction of teacher perceptions and practices shapes teacher leadership development. The implications for facilitating teacher leadership development are discussed.
Poursuivre des études universitaires: l’expérience d’étudiants ayant un diagnostic de trouble d’anxiété généralisée (TAG)

Cet article présente les résultats d’une recherche qualitative visant à documenter le parcours universitaire de 10 étudiants universitaires ayant reçu un diagnostic de TAG. Les résultats, mettent en évidence que l’interaction entre divers facteurs, tels que l’état de santé des participants, leurs habitudes de consommation, leur rendement académique et la qualité de leurs relations avec leur famille et leurs pairs, sont des éléments qui ont pu faciliter le déroulement de leurs études universitaires ou faire obstacle à leur bon déroulement. Ainsi, les résultats obtenus démontrent l’importance de s’intéresser au vécu de ces étudiants, tout en proposant des pistes d’intervention.
Study on a new contact material-Ag/SnO/sub 2/-La/sub 2/O/sub 3/-Bi/sub 2/O/sub 3/

For this paper, a super-fine compound powder, Ag/SnO/sub 2/+La/sub 2/O/sub 3/+Bi/sub 2/O/sub 3/ has been obtained successfully using the chemical coprecipitation method, and a new contact material, Ag/SnO/sub 2/+La/sub 2/O/sub 3/+Bi/sub 2/O/sub 3/, was produced by the powder metallurgy method. Its properties are as follows: density is 9.75/spl sim/9.93 g/cm/sup 3/, resistivity is 2.31/spl sim/2.551 /spl Omega/cm, and hardness is 880/spl sim/985 MPa. Its microstructure shows that the fine oxides have a uniform distribution in the silver matrix. The results of make-break capacity and temperature rise testing show that the new material has better anti-arc erosion ability and lower temperature rise than that of commonly used Ag/CdO material.
Focal Firms as Technological Gatekeepers within Industrial Districts: Evidence from the Packaging Machinery Industry

This paper examines how knowledge is created and transferred among firms within a geographical bounded industrial cluster. Using patent data from the automatic packaging machinery industrial district in the region Emilia-Romagna in Northern Italy, we first provide an empirical test of the widely diffused (and rarely measured) assumption that knowledge generated by cluster-based firms more easily flows within the cluster than outside it. Then, we advance that leading firms within the cluster assume the role of "gatekeepers" in driving the processes of new knowledge creation and diffusion. They introduce external technological novelties in the cluster and enact new useful knowledge production locally, thus enhancing international competitive capabilities of all firms in the cluster.
Litescale: A Lightweight Tool for Best-worst Scaling Annotation

Best-worst Scaling (BWS) is a methodology for annotation based on comparing and ranking instances, rather than classifying or scoring individual instances. Studies have shown the efficacy of this methodology applied to NLP tasks in terms of a higher quality of the datasets produced by following it. In this system demonstration paper, we present Litescale, a free software library to create and manage BWS annotation tasks. Litescale computes the tuples to annotate, manages the users and the annotation process, and creates the final gold standard. The functionalities of Litescale can be accessed programmatically through a Python module, or via two alternative user interfaces, a textual console-based one and a graphical Web-based one. We further developed and deployed a fully online version of Litescale complete with multi-user support.
Autonomous mechatronic actuators as a basis for modular intelligent machines

Mechatronic systems and especially intelligent such systems, tend to be complex due the nature of the control problem and due the flexibility of software and its infinite possibilities to change, renew and improve functionality. The proposed concept of autonomous mechatronic actuator modules interconnected to form a distributed system architecture is based upon the observation that complex systems should be built from well understood and dependable components. The idea behind the concept is to provide a computer system which really supports complex control application and modular designs. The proposed control architecture allows advanced and machine specific intelligent control algorithms and provides encapsulated and high performance low level control. The backbone of the architecture is a communication subsystem which meets the real-time demands of advanced machine control systems. <<ETX>>
Reply on RC1

There are only a very limited number of talik depth measurements under an isolated lake in a continuous permafrost – many of these examples are single drill points. The example at Peatball lake is, to our knowledge, the only quasi-3D dataset available in the Arctic. We strongly believe that the TEM sounding survey of the Peatball Lake is the most comprehensive dataset, and therefore most appropriate for this comparison.
Supplier Selection Using Adaptive Neuro-Fuzzy Inference System and Fuzzy Delphi

One of the most important functions of the purchasing management in every organization is to settle on suitable providers. This decision is a sophisticated one since it requires exercising great care in paying simultaneous attention to conflicting and heterogeneous criteria. Therefore an appropriate method should be devised for supplier selection and identifying evaluation criteria. This study tries to investigate and present such a method. This study is carried out in two distinct phases. In the first phase, using previous literature, the evaluative criteria for supplier selection are identified and using the fuzzy Delphi method, the most important criteria for food industries are determined. In the second phase, using ANFIS method, the best suppliers are chosen among 60 selected suppliers. Ultimately, the data are analyzed by ANN method and the results obtained from both methods are compared. The results indicate that the ANFIS method provides a better performance compared to the ANN method regarding the supplier selection process in such a way that it reaches higher scores in almost all of the criteria. This study uses the proper method of fuzzy Delphi for determining the supplier evaluation criteria as well as the most recent and exact ANFIS method for supplier selection.
Dynamic Fine-Grained Localization in Ad-Hoc Wireless Sensor Networks

The recent advances in radio and embedded system technologies have enabled the proliferation of wireless micro-sensor networks. Such wirelessly connected sensors are released in many diverse environments to perform various monitoring tasks. In many such tasks, location awareness is inherently one of the most essential system parameters. It is not only needed to report the origins of events, but also to assist group querying of sensors, routing, and to answer questions on the network coverage. In this paper we present a novel approach to the localization of sensors in an ad-hoc network. We describe a system called AHLoS (Ad-Hoc Localization System) that enables sensor nodes to discover their locations using a set distributed iterative algorithms. The operation of AHLoS is demonstrated with an accuracy of a few centimeters using our prototype testbed while scalability and performance are studied through simulation.
Testing homogeneity and symmetry in a dynamic import allocation model

The aim of this Ph.D. thesis is to estimate an import allocation model for Switzerland and test the homogeneity and symmetry hypotheses implied by demand theory. In previous works, the rejection of these hypotheses has often been attributed to the dynamic mis-specification of the models. Some alternative dynamic specifications (error-correction, autoregressive-errors and partial-adjustment) are considered in order to introduce dynamics and check whether or not they produce any differences in the homogeneity and symmetry test results. The chosen functional form is the AID (Almost Ideal Demand System) model, Firstly used by Winters (1984) for explaining international trade flows. Starting from a general dynamic import allocation model (or its equivalent error-correction form) we specify some simpler dynamic specifications like the autoregressive-errors and partial-adjustment models. A static model is also estimated for comparison purposes. Unconstrained and constrained estimations are computed for each of the dynamic models using maximum likelihood techniques and data of Swiss imported manufactures. The model performances are evaluated according to several criteria (goodness-of-it, information criteria, residual analysis) and, finally, likelihood ratio statistics are computed to test the economic theory assumptions and the different dynamic specifications.
A moving morphable component‐based topology optimization approach considering transient structural dynamic responses

A novel approach is developed under the moving morphable component (MMC) framework to solve topology optimization problems considering transient structural dynamic responses, where the structure for optimization is constructed with a collection of structural components, and the structural layout can be described explicitly via only a small number of design variables characterizing the positions and geometries of the components. The transient dynamic response of the structure and corresponding sensitivities are computed via step‐by‐step numerical integration and mode reduction technique is also employed to enhance the computational efficiency. Compared with existing works, the numerical instabilities induced by localized vibration modes can be substantially alleviated and the computational effort for direct sensitivity analysis is significantly reduced in the proposed approach. Two and three‐dimensional numerical examples considering the cases of nonproportional damping mechanism and time‐varying mass are also provided to manifest the validity of the proposed approach.
A Novel Audio Post-Processing Toolkit for the Enhancement of Audio Signals Coded at Low Bit Rates

Low bit rate audio coding often results in the loss of a number of key audio attributes such as audio bandwidth and stereo separation. Additionally, there is also typically a loss in the level of details and intelligibility and/or warmth in the signal. Due to the proliferation, e.g. on Internet, of low bit rate audio coded using a variety of coding schemes and bit rates over which the listener has no control, it is becoming increasingly attractive to incorporate processing tools in the player which can ensure a consistent listener experience. We describe a novel post-processing toolkit which incorporates tools for (i) Stereo Enhancement, (ii) Blind Bandwidth Extension, (iii) Automatic Noise Removal and Audio Enhancement, and, (iv) Blind 2-to-5 channel upmixing. Algorithmic details, listening results, and audio demonstrations are presented.
STUDENTS’ MATHEMATICAL REASONING: HOW COULD IT BE THROUGH MHM-PROBLEM BASED STRATEGY AIDED INTERACTIVE MULTIMEDIA?

This study aims to determine students' mathematical reasoning ability using Mathematical Habits of Mind-Problem based Strategy (MHM-PB) strategy aided interactive multimedia, to analyze the effect of using MHM-PB on mathematical reasoning abilities based on gender differences, and to analyze students' difficulties in solving mathematical reasoning ability tests. This research was carried out using the quasi-experimental method with pre-test and post-test control group design. Data were obtained from 66 grade VII students at Indramayu Regency, Indonesia using an essay test with five problems on mathematical reasoning ability. Mathematical Habits of Mind-Problem Based Strategy aided Interactive Multimedia is used in experimental group and the other group received conventional strategy. The result showed that students’ mathematical reasoning using MHM-PB strategy aided interactive multimedia was better than the conventional strategy. There is no difference in mathematical reasoning abilities based on gender in students who use MHM-PB. Furthermore, some students still have difficulty making a conclusion, providing reasons or evidence for the answers they give, and checking the truth of a statement. Meanwhile, making generalizations is a difficulty that many students experience.
Cutaneous toxicity of FDA-approved small-molecule kinase inhibitors

ABSTRACT Introduction By 1 January 2021, the FDA has approved a total of 62 small-molecule kinase inhibitors (SMKIs). The increasing clinical use of small-molecule kinase inhibitors has led to some side effects, the most common of which is cutaneous toxicity, as reflected by approximately 90% (57 of 62) of the FDA-approved SMKIs have reported treatment-related cutaneous toxicities. Since these cutaneous toxicities may have a crucial influence on the emotional, physical and psychosocial health of the patients, it is of great importance for doctors, patients, oncologists and interrelated researchers to be aware of the cutaneous side effects of these drugs in order to make the diagnosis accurate and the treatment appropriate. Areas covered This review aims to summarize the potential cutaneous toxicities and the frequency of occurrence of FDA-approved 62 SMKIs, and provide a succinct overview of the potential mechanisms of certain cutaneous toxicities. The literature review was performed based on PubMed database and FDA official website. Expert opinion It is significant to determine the risk factors for SMKI-induced cutaneous toxicity. The mechanisms underlying SMKI-induced cutaneous toxicities remain unclear at present. Future research should focus on the mechanisms of SMKI-induced cutaneous toxicities to find out mechanistically driven therapies.
Multi‐objective fitting of concentration‐discharge relationships

Concentration–discharge ( C–Q ) relationships are widely used to assess the link between hydrological and biogeochemical processes at the catchment scale. C–Q relationships are mainly calibrated using mono‐objective methods to represent, either concentrations or discharge‐weighted concentrations (i.e., load). Based on its wide use in hydrological modelling, we test a multi‐objective calibration for the C–Q relationship parameters, using both concentration and load, and compare it to a mono‐objective calibration applied on either concentrations or load. This work is carried out on a high‐frequency dataset (ORACLE‐Orgeval Observatory, France). Our findings show that the multi‐objective calibration yield a better representation of C–Q relationships parameters during the high and low‐flow events. The multi‐objective calibration can be used for all forms of C–Q relationships and avoids issues of under‐representation of dilution processes characterized by high‐discharge, low‐concentration periods.
Surface Defect Classification of Steel Strip with Few Samples Based on Dual‐Stream Neural Network

The automatic classification of surface defects is significant to the steel strip inspection system. However, influenced by the lack of samples, it is difficult to improve the classification accuracy. Herein, a novel dual‐stream neural network is proposed, which is composed by two streams of sample generation and classification training. Subsequently, numerous defect samples are generated for the classifier pretraining, and the real steel strip surface defects are classified by the transfer learning method. The experiment results demonstrate that the dual‐stream neural network has the highest classification accuracy of 99.70% among the state‐of‐the‐art classifiers, and the classification accuracy increasesd by 9.67% through generating plentiful similar images for pretraining. Moreover, the convolutional neural network (CNN) can improve the quality of generated defect images. When the number of epochs reaches 2000, the generated images are closest to the real labeled images. Finally, the cross‐validation proves that the dual‐stream neural network has excellent stability and robustness, without over‐fitting problem in the training process.
Hybrid Wideband Microstrip Wilkinson Power Divider Based on Lowpass Filter Optimized Using Particle Swarm Method

In this paper, an optimized microstrip hybrid 3-stage Wilkinson power divider based on lowpass filter is presented. The particle swarm optimization (PSO) method and method of moment (MoM) have been used to broaden the bandwidth to effectively cover 2–8 GHz ultra wideband range which is equal to 120% fractional bandwidth and to reject higher frequencies. The dimensions of filtering blocks and also Wilkinson isolating resistors are all used as optimization variables. The fitness function is evaluated by MOM simulations, and the MoM is used to calculate the response of the proposed Wilkinson power divider. A prototype hybrid power divider based on lowpass filter is then fabricated and measured to provide an experimental verification on the predicted features. Finally, both the method of moment and finite elements method are used to simulate the s-parameters. Simulation results on insertion loss and isolation of the implemented power divider are compared with measured values, and results for return loss is obtained using MoM and finite elements method.
Threats to Established Companies from Increasing Digitalization

Abstract In today’s world, companies have to deal more than ever with increasing globalization/internationalization and enormous competitive pressure. Strong competitive pressure leads to faster and faster innovation cycles, constant technical innovations and programmes for further cost reductions. In recent years, digitalization has added another challenge for established companies. New competitors are blurring industry models through digitalization and offerings based on disruptive innovation, proven business models are no longer suitable from one day to the next and established companies are competing with service or usage offerings. Such service or usage offerings will almost always be considered by the millennial or always-on generation and pose significant risks to established companies.