Miracle-dz/UniFAR-FTUs huggingface dataset:
A Design of Granular Classifier Based on Granular Data Descriptors

Designing effective and efficient classifiers is a challenging task given the facts that data may exhibit different geometric structures and complex intrarelationships may exist within data. As a fundamental component of granular computing, information granules play a key role in human cognition. Therefore, it is of great interest to develop classifiers based on information granules such that highly interpretable human-centric models with higher accuracy can be constructed. In this study, we elaborate on a novel design methodology of granular classifiers in which information granules play a fundamental role. First, information granules are formed on the basis of labeled patterns following the principle of justifiable granularity. The diversity of samples embraced by each information granule is quantified and controlled in terms of the entropy criterion. This design implies that the information granules constructed in this way form sound homogeneous descriptors characterizing the structure and the diversity of available experimental data. Next, granular classifiers are built in the presence of formed information granules. The classification result for any input instance is determined by summing the contents of the related information granules weighted by membership degrees. The experiments concerning both synthetic data and publicly available datasets demonstrate that the proposed models exhibit better prediction abilities than some commonly encountered classifiers (namely, linear regression, support vector machine, Naïve Bayes, decision tree, and neural networks) and come with enhanced interpretability.
Sustainability, Competitive Advantages and Performance in the Hotel Industry: A Synergistic Relationship

The relationship between sustainability, competitive advantages, and performance is a topic with no conclusive results in the tourism industry. To contribute to the debate, the purpose of this study is i) to analyze the influence of sustainability on cost and differentiation competitive advantages and ii) to examine the possible synergistic relationship between sustainability and performance. Perceptual as well as hotel-specific objective performance measurements are used, such as occupancy rate, average daily rate (ADR), and revenues per available room (RevPAR), to examine all the relationships. Structural equation models based on Partial Least Squares (PLS-SEM) are applied to test all the hypotheses. Data is collected from 3-, 4- and 5-star hotels in Spain. The results show that sustainability positively and significantly influences cost and differentiation advantages, perceptual performance, ADR, and RevPAR. In addition, those hotels with these three performance variables whose values are above the median obtain a significant relationship between sustainability and performance. Consequently, there is evidence of a synergistic sustainability-performance relationship in the hotel industry. Therefore, this study offers academic evidence on the strong relationships that exist between these variables in the hotel industry. This research work analyses all three sustainability pillars (economic, environmental, and social sustainability), and the practices that best explain each of the three sustainability pillars are indicated so that hotel managers can optimize their sustainable management.
New method of producing high-bright short-pulse laser

Combination of backward Brillouin scattering and grating compressor has made possible the production of extremely bright laser source. The first step towards the realization of such a source is the development of small size laser system. Using this suggestion, 100 time pulse compression of a 5 ns initial pulse down to 30 ps is obtained.
Extending the Fatigue Life of Riveted Coped Stringer Connections

Fatigue cracking occurs at the copes of stringer-floorbeam connections of older, riveted steel bridges. Some cracks are quite long and raise serious questions regarding the remaining fatigue life of the subject bridges. Damage limitation methods (DLMs) have been used to increase the fatigue life of these stringers, but the effectiveness of the DLMs for these riveted connections had never been evaluated by tests. Therefore, tests were conducted to evaluate the fatigue life of coped, riveted stringer-floorbeam connections, and the effectiveness of DLMs. Fatigue cracks in the coped stringer-floorbeam connection were initially developed to establish crack initiation requirements and the rate and extent of crack growth. Once a significant crack was noted, one of several DLMs was applied, and the specimens were retested to determine the effectiveness of the DLM in controlling cracking. These DLMs included the drilled hole, the inserted bolt and the removed rivet methods. The relative effectiveness of the methods is described, and a design procedure is proposed for improving their performance.
Single-phase single-stage multifunctional grid interfaced solar photo-voltaic system under abnormal grid conditions

This study deals with a single-phase single-stage multifunctional grid interfaced solar photo-voltaic (SPV) system. The proposed SPV system is multifunctional as it has MPPT (maximum power point tracking) and it provides harmonics elimination, reactive power compensation and feeding SPV energy into the grid at unity power factor. The PV array is connected at the DC link of voltage source converter. The MPPT controller estimates reference PV voltage and a proportional integral controller is used to maintain the PV string voltage to the reference value. Feed-forward terms are used for SPV array and load components for fast dynamic response. The performance of the system is analysed under abnormal grid (sudden sag and swell) conditions. Simulation studies are performed on MATLAB-based platform. Simulation results are verified experimentally on a developed SPV system. Under steady-state operating conditions, the total harmonic distortion of grid voltage and currents are found well under IEEE-519 standard. A wide range of simulation and experimental results are presented to demonstrate all the features of the proposed SPV system.
Corporate Governance on the National Olympic Committee of Thailand

The Olympic Games is by far the most admirable competitions among athletes and the most spectacle sports tournaments among sports fans. The Olympic Games is built on their very core values when the games bring together people around the world to witness one of the amazing sports events in the world. It is a congregation of the Olympic Games. Three core values, i.e., excellence, friendship and respect, are around the world. The immense role of the dissemination of Olympic values and promoting and overseeing the Olympic Games falls on the shoulder of the International Olympic Committee (IOC) which is a decision-making organization regarding the Olympic affairs. Though a huge responsibility lied upon the IOC, the IOC alone cannot operate and function at this successful level. The National Olympic Committees (NOCs) from various countries need to provide considerable support to the IOC, and the accomplishment of the IOC’s objectives can be achieved only if the NOCs work efficiently and effectively. The NOCs perform various functions and provide a significant contribution to promoting sports in a country. Thailand is one of the IOC members. The missions of the National Olympic Committee of Thailand (NOCT) under the Royal Patronage of H.M. the King include supporting and promoting amateur sports and physical education, sending delegated athletes and the international. Competitions, providing welfare and education for athletes and coaches, organizing a sports museum, and coordination with different management of the NOCT are highly essential. Effective management of the NOCT will lead not only to the increasing number of junior athletes and national athletes and the success of our national athletes in major international sports competitions, but also to gear Thailand to be a healthy society using sports as a means to this end. In business, it is often argued that effective management is caused by competition. The term “creative destruction” coined by Joseph Schumpeter has continuously been proven through time that the most effective and innovative firms will thrive. Without competition, there is no real incentive and need for firms to be effective and efficient. Firms can do whatever they want bearing few or no consequences. Many sports governing bodies, e.g. the IOC and the NOCs, however, have no competition and, thus, are a monopoly. Yet, thee organizations need to be most effective. In this paper, we will argue that corporate governance is the solution to make the NOCs and the IOC to be most effective by using an example of the NOCT. Corporate governance (CG) can be loosely defined as to how to institute integrity to organizations/industries. Similar to business, the IOC and the NOCs need to instill integrity to their members no matter who they are or what role they take. A cleverly tailored corporate governance process employing control from both top-down and bottom-up will provide a necessary means to make the NOCs or, in this paper, the NOCT becomes well managed.
Computational analyses of mechanism of action (MoA): data, methods and integration

The elucidation of a compound's Mechanism of Action (MoA) is a challenging task in the drug discovery process, but it is important in order to rationalise phenotypic findings and to anticipate potential side-effects. Bioinformatic approaches, advances in machine learning techniques and the increasing deposition of high-throughput data in public databases have significantly contributed to recent advances in the field, but it is not straightforward to decide which data and methods are most suitable to use in a given case. In this review, we focus on these methods and data and their applications in generating MoA hypotheses for subsequent experimental validation. We discuss compound-specific data such as -omics, cell morphology and bioactivity data, as well as commonly used supplementary prior knowledge such as network and pathway data, and provide information on databases where this data can be accessed. In terms of methodologies, we discuss both well-established methods (connectivity mapping, pathway enrichment) as well as more developing methods (neural networks and multi-omics integration). Finally, we review case studies where the MoA of a compound was successfully suggested from computational analysis by incorporating multiple data modalities and/or methodologies. Our aim for this review is to provide researchers with insights into the benefits and drawbacks of both the data and methods in terms of level of understanding, biases and interpretation – and to highlight future avenues of investigation which we foresee will improve the field of MoA elucidation, including greater public access to -omics data and methodologies which are capable of data integration.
Miniaturized Coaxial Resonator Partially Loaded with High-Dielectric-Constant Microwave Ceramics

A partially dielectric-filled stepped impedance resonator (PDSIR) is introduced as a class of a miniaturized coaxial resonator. The length of this resonator is less than that of a fully dielectric-filled quarter-wavelength resonator. The conditions for obtaining resonance with a high dielectric constant of epsilon/sub r/ =35 or 85, sensitivity analysis, and temperature drift of the resonant frequency, are described. The spurious response, in which the characteristics are better than for a conventional quarter-wavelength resonator, is also analyzed.
A Simple Experimental Technique for Determining Coupling Between Dielectric Resonators

A method for determining the coupling coefficients between dielectric resonators (DR) is presented. Experimentally measured S-parameters are used to characterize a circuit model of the DR. The DR's resonant frequency is systematically altered with a sliding short in the desired filter configuration and measured. This data is combined with the DR model utilizing equivalent circuit techniques to determine the coupling coefficient.
Engaging Citizen-Scientists in Mapping Alien Species: Introducing Alientoma, A Dynamic Database for Alien Insects in Greece

Biological invasions have become one of the most intimidating environmental and economic threats of our time, as a result of the globalization and the rise of international commerce [1][2]. Alien species of insects represent one of the most abundant groups of introduced organisms in Europe, while a large number of them are associated with substantial economic burden, biodiversity loss, health problems and disturbance to ecosystem functioning [3]. Over the last decade, citizen-science has emerged as a valuable tool in ecological studies, and in particular for the early detection and monitoring of alien species worldwide [4]. Alientoma – a compound word deriving from “alien” and the Greek word “entoma" meaning insects – aims to create a dynamic checklist and a constantly-updated database of these organisms in Greece, where a large number of nonnative insect species is already present [5]. The species catalogue is based on a recent scientific review of alien insect species in Greece, which was compiled after an extensive literature search [5], coupled with records from museum collections and other online databases [6][7]. Alientoma provides information on alien species (i.e. status, distribution, taxonomy, common names, impacts) to the public as well as the scientific community in order to inform and assist the mitigation of their adverse impacts, respectively. This project intends to promote public participation in scientific research regarding alien species, encouraging the involvement of citizen-scientists through the collection of occurrence records.
I am because we are: a systems approach to strategy design

The word \(strategy\) has represented many concepts since it originated in a military domain. Fundamentally, it is concerned with determining how best to direct systems in a changing world. However, in today's increasingly complex and vertically separated sectors, conventional top-down approaches to strategy design are becoming less applicable. The proverb 'I am because we are' encapsulates the idea that the world is not formed of independent, separate entities, but that all beings and actions are connected. This thesis puts forward a case for applying that way of thinking in a systems approach to strategy design. The proposed approach comprises three processes which are aligned with systems engineering principles, to plan, capture and communicate strategy. It is argued that strategy documents produced by following the approach would be clearer and more rigorous. To the field of strategy, this research offers a language framework for discussing strategy concepts, a new approach for designing strategy, and pragmatic guidance for strategy design exercises. In the field of systems thinking, it contributes to the challenge of translating systems engineering principles for non-traditional domains.
Evaluation of power systems reliability by an artificial neural network

A new method for reliability analysis of power systems is presented in this paper. This method is based on the artificial neural networks (ANNs), which as shown, need short training times. The objective of this paper is presentation of a new method which can solve difficulties of the previous reliability analysis methods, such as low accuracy, complex modelling and large computations. The proposed method is applied for reliability evaluation of generating units and the transmission system. Obtained results from this method for the IEEE reliability test system are mentioned, which confirm the validity of the developed approach. Other advantages of the proposed method for reliability evaluation are also explained.
A Power Analysis System for Cryptographic Devices

In order to test the security of cryptographic devices against Side Channel Attacks (SCA), an automatic general-purpose power analysis system (TH-PAS-01) is designed and implemented. TH-PAS-01 is scalable and can be applied to many cryptographic devices when specific modules are installed. Using the system TH-PAS-01, correlation power analysis (CPA) are carried out on an AES chip under two working models: normal and shuffling mode. The security level of the countermeasure provided by the target chip is verified by TH-PAS-01. The experimental results show that the correct key of the AES chip is obtained with around 50,000 power traces when the chip was working under normal mode, while the whole key bits are not obtained with 960,000 power traces when the chip works under shuffling mode. The automatic general-purpose system TH-PAS-01 is feasible for security analysis on power analysis for cryptographic devices.
Flexible, scalable, and efficient thermoelectric touch detector based on PDMS and graphite flakes

This paper presents freestanding thermoelectric touch detectors consisting of graphite conductive flakes into a polydimethylsiloxane matrix. An optimal concentration of graphite flakes (45 wt%) lead to robust and homogeneous detectors that exhibited signal-noise ratio values up to 170 with rise and falling times below 1 s and 7 s, respectively. The detectors performance was stable over continuous operation and did not reveal significant degradation while bended under different curvature radii (45, 25 and 15 mm) and consecutive bending cycles. Moreover, the twist of the thermal gradient direction between the electrodes of the detector enables a Yes or No response which opens new usage possibilities. Therefore, this work provides an efficient way to develop robust, low-cost, and scalable thermal detectors with potential use in wearable technologies.
Knockdown of sexually differentiated vasopressin expression in the bed nucleus of the stria terminalis reduces social and sexual behaviour in male, but not female, mice

The neuropeptide arginine‐vasopressin (AVP) has long been implicated in the regulation of social behaviour and communication, but the sources of AVP release relevant for behaviour have not been precisely determined. Ablations of the sexually dimorphic AVP cells within the bed nucleus of the stria terminalis (BNST), which are more numerous in males, affect social behaviour differently in males and females. However, it is unknown whether these behavioural effects are caused by a reduction of AVP or of other factors associated with these cells. To test the role of AVP specifically, we used an shRNA viral construct to knock down AVP gene expression within the BNST of wild‐type male and female mice, using scrambled sequence virus as a control, and evaluated subsequent changes in social behaviours (social investigation, ultrasonic vocalization (USV), scent marking, copulation, and aggression), or anxiety‐like behaviours (elevated plus maze). We observed that, in males, knockdown of AVP expression in the BNST strongly reduced investigation of novel males, aggressive signalling towards other males (tail rattling, USV), and copulatory behaviour, but did not alter attack initiation, other measures of social communication, or anxiety‐like behaviours. In females, however, BNST AVP knockdown did not alter any of these behaviours. These results point to differential involvement of AVP derived from the BNST in social behaviour.
Artificial neural network technology for lips reading

The paper presents the use of neural networks for the task of automated speech reading by lips articulation. Speech recognition is performed in two stages. First, a face search is performed and the lips area is selected in a separate frame of the video sequence using Haar features. Then the sequence of frames goes to the input of deep learning convolutional and recurrent neural networks for speech viseme recognition. Experimental studies were carried out using independently obtained videos with Russian-speaking speakers.
Optimal Control of ISTR Rumor Propagation Model with Social Reinforcement in Heterogeneous Network

The wide spread of rumor is undoubtedly harmful to social stability; we should try to lower the effect of rumor on society. Therefore, it is reasonable to put forward the rumor control strategy on the basis of the study of the law of rumor propagation. Firstly, the ISTR model of rumor is established by including influencing factors of true information spreader and social reinforcement. And by using the next generation matrix method, the basic reproduction number of rumor is obtained. Then, in order to minimize the adverse effects of rumors, through introducing two control strategies of scientific knowledge popularization and refutation of rumors, the optimal control problem is established. And through using Pontryagin’s Minimum Principle, the optimal solution of the rumor propagation model is solved. Finally, through theoretical analysis and numerical simulation, some results can be obtained. The results show that adding true information spreaders into the rumor model can effectively control the rumor propagation, and social reinforcement plays a significance role in rumor. The results also prove that these two control strategies can effectively inhibit the propagation of rumors. With the addition of control strategies, the number of true information spreaders increases, while the number of rumor spreaders decreases.
Human Emergency Behaviour Characteristics in Large-scale Emergencies Based on Mobile Communication Data

The characteristics of human emergency behaviour under the emergency are a crucial scientific issue in basic emergency management research. The analysis of time dynamic aspects of human behaviour based on electronic footprint data provides a new method for quantitative investigation of this problem. Previous studies generally assumed that human behaviours were randomly distributed in time, but few studies studied the impact of emergencies and carried out prediction methods through social media data. Using mobile QQ space communication data, this paper from four kinds of emergencies and one kind of conventional event data, digging out the statistical characteristic on the time dimension of human communication behaviour, and in case of any emergencies, such as public security mode of evolution, to explore intrinsic emergency regularity of the impact of human communication behaviour model and further predict human behaviour characteristics. We found that the communication peaks accompanying an emergency are local in time, resulting in a communication avalanche that importantly engages eyewitness social networks. In mobile QQ space communication, the probability distribution of the interval time of the Posting behaviour sequence shows the statistical characteristics of power-law and approximate exponential tail. Compared with most of the typical Posting behaviour, the probability distribution of the interval time of the Posting behaviour sequence is higher. At the same time, the mnemonic is lower than most of the typical Posting behaviour, with a weak anti- mnemonic. These results are theoretically helpful in understanding the regularity of the impact of emergencies on human communication behaviour patterns and have potential application value in predicting the impact degree of crises and the analysis and classification of human social attributes.