Miracle-dz/UniFAR-FTUs huggingface dataset:
Speech Fatigue Detection Based on Deep Learning

Medically speaking, moderate fatigue is the embodiment of workload, and excessive fatigue will cause adverse effects on the human body. Therefore, real-time monitoring of human fatigue is of great significance. In order to detect fatigue in real time and conveniently, a speech fatigue detection method based on deep learning is proposed in this paper. The main work of this paper is to screen the useful speech segments of the fatigue corpus created in the previous work; Secondly, the speech signal is preprocessed and the analog speech signal is digitized; Thirdly, deep learning can effectively reflect the phonetic features of fatigue information; Finally, the fatigue degree is classified and recognized by classifier. The best classification and recognition rate of speech fatigue detection based on BLSTM network recommended by the author can reach 92.7%, which realizes the effective recognition of sports fatigue.
JWST retrieval simulation of super-Earth

The James Webb Telescope (JWST), launched at the end of 2021, will permit the study of exoplanets’ atmospheres with an accuracy never obtained before. One of the most keenly anticipated science themes with JSWT data is the study of super-Earth type planets. There exist many questions about their interior and atmospheric composition as well as their evolution and possible migrations. In this work, we simulated transmission spectra of super-Earth type systems with the petitRADTRANS code and emission spectra of a M-type star with PySynphot. The primary transit observation is simulated with the MIRISim simulator working in the MIRI LRS-Slitless mode. We then obtained the transmission spectra of the planet using a code that we developed ourselves. Finally, we carried out the retrieval: first, in order to check the retrieval tool included in the petitRADTRANS code, we treated the original transmission spectrum. Second, the code is used with the spectrum obtained from the telescope simulator. The results found encourage us to compare them to results found when using other tools, with the hope of gaining precision in those results, in addition to working in a wider range of wavelengths.
Learning Reaching Tasks Using an Arm Robot Equipped with MACMSA

In recent years, models that integrate multimodal information to control robots have been actively developed. Memorizing and Associating Converted Multimodal Signal Architecture (MACMSA) was proposed to integrate multimodal information obtained from robots with Hopfield networks as associators and independent feed-forward neural networks as encoders and decoders. The performance of MACMSA has thus far been investigated only using pseudo-data. Notably, MACMSA exhibits high resistance to noise. However, it cannot generate signals for robot control. The purpose of this study was to improve MACMSA to generate signals for robot control and optimize it using real data on reaching tasks. The results of the generated control signals on a real machine are presented to demonstrate that the improved model can be effectively used in a real environment. The results also show that the proposed model can perform well with real data.
Crowd Stability Analysis Based on Pedestrian Abnormal Postures

Abnormal behaviors of pedestrians in crowd gathering public places are important factors affecting the stability of crowd flow. Pedestrian abnormal postures are important manifestation of abnormal behaviors, which often leads to local turbulence, disturbance and density-speed fluctuations. It is urgent to discover the disturbance mechanism of abnormal pedestrian posture on the stability of crowd flow. This study intends to establish machine vision, kinematics, dynamic models and crowd confluence dynamic models for typical abnormal pedestrian postures in public places. We mainly use computer vision related technology based to recognize abnormal postures of pedestrians in videos, constructs a network matrix of key posture nodes, and studys the kinematics characteristics of abnormal posture nodes. Considering the number of pedestrians and the characteristics of the architectural scenes, we design a workflow to select the appropriate macro or micro dynamic model to build the crowd flow model. To validate the propuesd model, case in Shanghai Hongqiao railway station is studied.
An English Pronunciation Quality Evaluation Model Based on Multi-dimensional Features

As a universal language, English has been paid more and more attention, among which oral English learning is very important. In this paper, the two key technologies of pronunciation error detection and quality evaluation are studied, both of them are effectively integrated, aiming to build a model for L2 learners’ English pronunciation quality evaluation. This paper mainly studies two different methods of pronunciation error detection. Based on the speech recognition framework, the standard score is compared with the threshold to judge the correctness of phoneme pronunciation, and the phoneme-dependent threshold is set to improve the maximum Precision to 0.44. By judging the correct pronunciation and confusing phoneme, the accuracy of pronunciation error detection is improved to 81.26%. This paper proposes the fusion algorithm from multi-dimensions of speech fluency and intonation respectively, and a newly designed feature called word duration ratio, which significantly improve the correlation of pronunciation quality evaluation to 0.746.
Piezoelectric energy reclamation based on frequency up-conversion technique for digital actuator autonomous additional functions

A piezoelectric vibration energy harvester aiming at collecting energy from the operation of an electromagnetic digital actuator is presented. It is based on the frequency up-conversion and can simultaneously obtain the information of discrete position location. The objective is an improved reliability of such digital actuators ensuring sample controls of the actuator positions. The considered electromagnetic digital actuator is capable of achieving two-dimensional in-plane movements by switching a mobile permanent magnet among four discrete positions. The demonstration of a first step toward integrated additional autonomous functions scavenging a part of the mechanical energy of the mobile permanent magnet is achieved. The vibration energy harvester consists of a piezoelectric cantilever beam magnetically attached to the mobile permanent magnet. The limited magnetic interaction force allows a frequency up-conversion strategy to be set. The frequency up-conversion technique that is used here consists of a “low frequency” excitation that drives a much higher natural frequency oscillator. Indeed, once the energy harvester separates from the mobile permanent magnet, a free oscillation occurs and the induced mechanical energy is harvested. This design concept is numerically analyzed and experimentally validated. Harvested energy of 4.7 µJ is obtained from preliminary experiments using a simple out-of-plane cantilever beam with 9 N/m stiffness and 16 mN magnetic attraction between the vibration energy harvester and the mobile permanent magnet when they contact each other. This energy is in accordance with the requirements for wireless communication of simple information. Finally, an L-shaped cantilever beam optimized design is proposed for future in-plane integration.
Place Name and Address Matching Method Based on Semantic Mining

A place name and address matching model based on semantic mining is proposed in this paper. Firstly, the semantic features of place name and address description information is analyzed. Then, spatial object cognitive representation model geographic ontology is constructed to formalize the place name and address described by natural language. Finally, the inference rules of spatial relations are defined in order to achieve semantic matching and retrieval of referential address. Experiments show that the proposed method can accurately express and reasoning out the location information of geographical entity, and can serve the place name and address matching tasks with semantic characteristics.
Managing plastic waste in urban Kenya: niche innovations in production and recycling

The problems with plastic waste in Kenyan cities are increasing to alarming levels. Especially disposable packaging made of very light plastic materials continues to burden the environment as well as compromise management capacities for waste by city authorities. In light of this, major cities of Kenya have in the last two decades registered participation of formal and informal private actors with strategies to curtail the flow of plastic waste to the environment. This study argues that such strategies can be referred to as ‘innovations’withthe potential totransform the plasticwaste scenario in Kenya and further foster an integrative regime between solid waste management and plastic production systems for plastic waste management. Strategic niche management and Multi-level perspective on socio-technical transitions that bases the success of an innovation on its actor networks, convergence of expectations and learning processes have been useful in the analysis of performance of the innovations. In-depth case studies on innovations in plastic waste management, plastic waste recycling and plastic prevention illustrate how and to what extent such innovations are able to transform the stultifying environmental condition and further become the foundation for developing an integrated regime for plastic waste management.
Air source heat pump energy storage heating system for smart building

For energy storage heating in the smart building, this paper puts forward a new kind of smart building energy storage system. Air heat pump energy storage heating system consists of energy storage heating platform and the control strategy of energy storage heating. First of all, this paper build energy storage heating platform. The system uses air source heat pump as an energy conversion device converting the energy power to heat energy in the smart building; Using energy storage tank as energy storage container, this paper store the thermal energy in the storage containers; The system uses a fan as energy release device. Secondly, energy storage heating control strategy is derived. According to the law of conservation of energy, air source heat pump heating temperature function is established, the function constitutes energy storage method in the daytime; This paper establish the relationship between the outdoor temperature and the energy storage temperature and propose the energy storage method in the night. Finally, from two aspects of conversion efficiency and energy consumption, this paper compares air source heat pump energy storage heating system with the battery energy storage system. The results illustrate that it is less than 1.27% of battery energy storage system in terms of the energy conversion efficiency, but reduces by 58.44% in the aspect of energy consumption.
Transformational change must engage hearts as well as minds

The NZ Horticulture Industry Strategy indicates that, in order for the industry to meet its vision of growing from a NZ$5 billion industry to NZ$10 billion by 2020, it needs to make significant change. Fundamental to this is an attitudinal and behavioural transformation by individuals and organisations. Through a suite of leadership development initiatives, Horticulture NZ, with key partners, works with high potential emerging leaders. The aim is that they will, in turn, work with others to catalyse the type of change envisaged. We recognise that to affect change you need to tap into people's underpinning drivers and emotions, as well as offer tangible knowledge and skills development to support their leadership. While there are, on the face of it, several such initiatives in the wider primary industry, HortNZ differentiates its programmes through a strong focus on individual development, providing opportunity and tools to help people maximise their own potential both in their work and personal context. This paper presents the approach Horticulture NZ's People in Horticulture Portfolio has taken to leadership development and offers some insights learnt through a decade of development.
Evaluating the New Japanese Civil Rehabilitation Law

Japan's new Civil Rehabilitation Law (Minji saisei ho Law No 225, 1999) is the first component in a comprehensive reform of its insolvency law regime. The law was passed by the Diet (Japanese Parliament) on 14 December 1999 and came into effect on 1 April 2000. It will replace the Composition Law (Wagi ho Law No 72, 1922). This commentary compares the new provisions of the Civil Rehabilitation Law with those they are designed to improve. A full translation of the law will be published in volume 2(2) of Asian Law. The pressure created by Japan's financial crisis has meant that the new reforms are not revolutionary; they are largely a response to long-standing deficiencies in existing laws and represent a codification of current practice and judicial precedent evolved to bridge the gaps in existing law. However, the introduction of new business transfer provisions and a security interest extinguishing scheme (tampo sh metsu seikyu seido) are two innovations which may lead to the civil rehabilitation procedure being used to facilitate the expanding mergers and acquisitions market in Japan.
Topologies comparison of multi-cell Medium Frequency Transformer for offshore farms

New European objectives have increased the interest about offshore tidal current farm. High Voltage Direct Current (HVDC) connection is used for distribution from farm to shore and traditionally local distribution is achieved by an AC grid. Nevertheless, energy conversion station with high volume power density is really interesting in offshore applications and even more in subsea context. Local DC distribution grid could be considered because of the different interests in term of weight and size of DC-DC converter thanks to Medium Frequency Transformer (MFT). This paper presents a comparison of different topologies for a tidal current farm test bench near PaimpolBrehat in France. MF DC-DC converter topologies are compared using factors as: costs, losses, weights, sizing, availability, number of cells and single or three-phase transformers. For a 8 MVA tidal farm, 4×2 MVA single phase DC-DC converters appears to be the cost-effective solution. (5 pages)
Evaluating the Development of Science Research Skills in Work-Integrated Learning through the Use of Workplace Science Tools.

Concept understanding, the development of analytical skills and a research mind set are explored through the use of academic tools common in a tertiary science education and relevant work-integrated learning (WIL) experiences. The use and development of the tools; laboratory book, technical report, and literature review are examined by way of semistructured interviews with graduate students, and comparing undergraduate students who had completed science work placements and those who had not. Students who had experienced work placements developed a professional and sophisticated understanding of the use of the tools, science concepts and the research process prior to graduating, hence were better prepared for graduate study or moving onto a professional science arena. Non-WIL graduate students also developed these skills, but after they had already embarked on research degrees. This research shows that academic tools specific to science workplaces can uncover discrepancies between what science research skills students have at tertiary level, and what is required of them in a professional situation. Asia-Pacific Journal of Cooperative Education, 2013, 14(4), 233-249
Reverse Innovation and Reverse Technology Transfer: From Made in China to Discovered in China in the Pharmaceutical Sector

The emergence of a giant like China changes the landscape. The potential localization of multinational companies' R&D centers into emerging countries changes the analytical perspective. This phenomenon moves the knowledge frontier and creates a real paradigm change in terms of innovation and technology transfer. On the one hand, we confirm the global trend of knowledge sources implied in previous studies and we demonstrate that multinationals might now choose emergent countries as a strategic place to externalize R&D. On the other hand, we go further by empirically showing the phenomena of reverse innovation and reverse technology transfer in the pharmaceutical sector.
Rasch Validation of the Revised Body Awareness Rating Questionnaire (BARQ-R) in Adults with Musculoskeletal Pain, Adults with Spinal Cord Injury, and Community-Dwelling Adults in the US

Background: To establish Rasch validation of the Revised Body Awareness Rating Questionnaire (BARQ-R) in adults with musculoskeletal pain, community-dwelling adults without pain, and adults with spinal cord injury (SCI) who have neuropathic pain. Materials and Method: The BARQ-R has 12 items with scores ranging from 0 (completely disagree) to 3 (completely agree). Through Rasch analysis, we evaluated unidimensionality through item and person fit, targeting of the population, person separation reliability (PSR), local item dependence (LID), and principal components analysis of residuals (PCAR). Results: The BARQ-R in adults with musculoskeletal pain (n=152; average age = 52.26+/-16.13 years) showed good targeting (person mean location: -0.36+/-0.88 logits), minimal floor effect (0.01%), and no ceiling effect (0.00%) and had good reliability (PSR=0.75). The BARQ-R in community-dwelling adults (n=471; average age = 49.63+/-17.57 years) had a person mean location of -0.62+/-1.09 logits, minimal floor (2.63%), and minimal ceiling effect (0.43%) after rescoring 2 items and deleting 3 items and had good reliability (PSR=0.74). The BARQ-R in adults with SCI-related neuropathic pain (n=44; average age = 55.45+/-13.47 years) showed good targeting after rescoring 7 items (person mean location: -0.33+/-0.71 logits), no floor effect (0.00%) or ceiling effect (0.00%) but had poor reliability (PSR=0.65). Conclusions: The BARQ-R shows sufficient fit to be used in clinical settings for group decision-making for both adults with musculoskeletal pain and community-dwelling adults. However, in adults with SCI-related neuropathic pain, preliminary Rasch analysis of the BARQ-R showed low reliability and therefore the BARQ-R is not recommended for clinical use in that population. Validation in larger groups of adults with SCI as well as more diverse samples are needed.
Spinal cord damage in Friedreich's ataxia: Results from ENIGMA-Ataxia

Objective: Spinal cord damage is a hallmark of Friedreich ataxia (FRDA), but its progression and clinical correlates remain unclear. Here we performed a characterization of cervical spinal cord structural abnormalities in a large multisite FRDA cohort. Methods: We performed a cross-sectional analysis of cervical spinal cord (C1 to C4) cross-sectional area (CSA) and eccentricity using MRI data from eight sites within the ENIGMA-Ataxia initiative, including 256 individuals with FRDA and 223 age- and sex-matched controls. Correlations and subgroup analyses within the FRDA cohort were undertaken based on disease duration, ataxia severity, and onset age. Results: Individuals with FRDA, relative to controls, had significantly reduced CSA at all examined levels, with large effect sizes (d>2.1) and significant correlations with disease severity (r<-0.4). Similarly, we found significantly increased eccentricity (d>1.2), but without significant clinical correlations. Subgroup analyses showed that CSA and eccentricity are abnormal at all disease stages. However, while CSA appears to decrease progressively, eccentricity remains stable over time. Interpretation: Previous research has shown that increased eccentricity reflects dorsal column (DC) damage, while decreased CSA reflects either DC or corticospinal tract (CST) damage or both. Hence, our data support the hypothesis that damage to DC and CST follow distinct courses in FRDA: developmental abnormalities likely define the DC, whereas CST alterations may be both developmental and degenerative. These results provide new insights about FRDA pathogenesis and indicate that CSA of the cervical spinal cord should be investigated further as a potential biomarker of disease progression.
A study on the physico-chemical changes occurring in ghee during storage.

Ghee is well recognized for its nutritional, functional and organoleptic properties. The government of India has prescribed the compositional standards for ghee, under FSSAI act (2006) and AGMARK rules (1981). Ghee is an expensive product, costing three times as much as edible vegetable oils. Thus, its adulteration is a very profitable proposition and the one widely practiced by the unscrupulous traders. Under the provision of the food laws, the food safety officer can collect a sample of ghee which he divides into four parts and send it to Food Analyst, designated officer and accredited laboratory. In general, it has been seen that it takes several months for the analysis of the sample after its collection by the food safety officer. In the course of long time lapse for the analysis, it is possible that the sample might undergo deterioration resulting into faulty analytical reports which may lead to conviction of innocent traders. Therefore, the present project was undertaken to study the effect of storage on physico-chemical changes in ghee in relation to oxidation. The effect of addition of antioxidant (BHA at 0.02%) on the physico-chemical changes occurring in ghee during storage was also studied. The physico-chemical parameters studied were RM value, Polenske value, Saponification value, iodine value, Butyro-refractometer reading (BR) at 40oC, free fatty acid content (% oleic acid), peroxide value, conjugated diene and residual BHA content. It was concluded from the present study that there was a small increase in RM value, Polenske value and saponification value, and there was a small decrease in iodine value, Butyrorefractometer (BR) reading at 40oC and residual BHA content in ghee during storage at 37oC, and these changes (increase/decrease) were comparatively less in ghee samples added with antioxidant (BHA) than control ghee samples in which antioxidant was not added. Similar results were observed at 80oC but the rate of change in these parameters was comparatively faster at this temperature as compared to 37oC. The study further revealed that there was an increase in Peroxide value, conjugated diene and free fatty acid content (% oleic acid), in ghee during storage at 37oC as well as at 80oC and this increase was comparatively less in ghee samples added with antioxidant (BHA) than control ghee samples.
A Framework for Agile Development in Cloud Computing Environment

Distributed agile software development faces difficulties for instance lack of visibility across development and delivery processes, complex and disjointed development processes, inability to capitalize on business opportunities, lack of communication agility between disconnected owners, development teams, and users or clients. However these difficulties are solved with the help of cloud computing services. This study proposes a framework to provide a skeletal or structural environment for distributed agile software development in cloud computing environment. The framework guide towards the best tooling to deliver a consistent, automated, governed, and unified agile software development process with reduced technical debt, and minimized project backlog. In addition to this, the study highlights the benefits of cloud computing in agile software development.