Miracle-dz/UniFAR-FTUs huggingface dataset:
Broadband energy harvesting via adaptive control of bistable potential energy separatrix

As a result of the documented performance limitations of conventional linear piezoelectric energy harvesters, researchers have focused their efforts towards device designs that can better capture broadband energy. The approaches used can be classified into three categories: frequency tuning, multi-modal energy harvesting, and nonlinear energy harvesting1. Of the nonlinear harvesting approaches studied, bistable energy harvesters have been shown to have the most robust performance when subjected to broadband harmonic & stochastic excitation2-4. A conventional method for developing a nonlinear bistable restoring force is through use of magnetic repulsion. In these studies, a common theme of high-energy orbit breakdown occurs during a frequency upsweep. The issue at hand is the inability of the device inertial forces to overcome the potential energy barrier (separatrix) inherent to a bistable potential energy. This paper proposes the use of a high-permeability electromagnet for adaptively controlling the bistable magnetic repulsion force to expand the frequency bandwidth for high-energy harmonic oscillations. Numerical simulations of the nonlinear oscillator are used to study the system response under varying parameters of separation distance and electromagnetic coil current. An analytical model of the magnetic moment of an electromagnet is developed for use in studying the force interaction between repulsing magnets and to determine the parametric space that generates buckling loads in a cantilever bimorph energy harvester.
Multi‐label emotion recognition of weblog sentence based on Bayesian networks

An increasing number of common users, in the Internet age, tend to express their emotions on the Web about everything they like or dislike. As a consequence, the number of all kinds of reviews, such as weblogs, production reviews, and news reviews, grows rapidly. This makes it difficult for people to understand the opinions of the reviews and obtain useful emotion information from such a huge number of reviews. Many scientists and researchers have attached more attention to emotion analysis of online information in the natural language processing field. Different from previous works, which just focused on the single‐label emotion analysis, this paper takes into account rich and delicate emotions and gives special regard to multi‐label emotion recognition for weblog sentences based on the Chinese emotion corpus (Ren‐CECps). Using the theory of Bayesian networks and probabilistic graphical model, the latent emotion variable and topic variable are employed to find out the complex emotions of weblog sentences. Our experimental results on the multi‐label emotion topic model demonstrate the effectiveness of the model in recognizing the polarity of sentence emotions. © 2015 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
Safety climate, attitudes to noise management and exposure to noise in small and medium sized workplaces in New Zealand

Abstract Technological and legislative safety solutions will only succeed if the social systems, attitudes and behaviours at work support them. Safety climate is one of the factors related to effective hazard management, including management of noise. Data on levels of noise, risk factors and compliance with the relevant Code of Practice were collected from 20 New Zealand small and medium workplaces with employee counts ranging from 2–48. One hundred and sixty-three (163) respondents from these workplaces also provided data on self-reported hearing protection use, safety climate and attitudes to controlling noise at work. Levels of compliance with New Zealand Approved Code of Practice requirements were low, even in workplaces with high levels of noise. Use of hearing protection devices (HPD) was highest in construction and manufacturing but no respondents in hospitality (cafes) or education (early childhood education) reported using hearing protection despite some high levels of noise.
An effect of vertical sloshing on a fluid pressure and a surface displacement in a tuned magnetic fluid damper

A tuned fluid damper (TLD) is a dynamic absorber which uses hyd rodynamic force of sloshing in a container to dampen oscillations of structures. The TLD using a magnetic fluid as working fluid is called a tuned magnetic fluid damper (TMFD). Sloshing of the magnetic fluid is controlled by the ma gnetic field on the TMFD. It is important to get the state of the sloshing, thus the change of the fluid level and the fluid press ure of the magnetic fluid is studied in several magnetic fields . The change of them is affected by the resonant sloshing of vertical component and not by the resonance of the main (horizontal) sloshing.
Stability analysis of a power system with superconducting fault current limiter installed

As a process of developing high temperature superconducting fault current limiter (SFCL), the stability of a power system in which SFCLs were installed was analyzed. For the investigation into the effect of SFCLs to a power system, we have proposed a simple model power system that had SFCL circuits. The modeling parameters of SFCL are obtained by experiment of a prototype SFCL, which is 440 V class and a shielding type model. This electric circuit was solved for transient performance by numerical methods. In case the SFCLs are installed in a power system, it can effectively protect synchronization both in a symmetrical three-phase fault and a single-phase line to ground fault by maintaining synchronism of the synchronous machines for a long time. By this analysis, we found a quantitative effect of SFCLs to a power system. Limiting fault currents means not only an improvement of circuit breaker abilities but also a protection of synchronism. So its synchronism protection property must be considered for a design of superconducting fault current limiters.
Structural decomposition analysis of Latvian agrifood sector as integral part of global market

Research background: the Latvian agrifood sector is continuously becoming more integrated in global markets. Imports and exports of agricultural commodities grow every year. At the same time, changes in output from agriculture and food processing are moderate. The main factors that can be used to characterize these sectors are employment, gross value added and income. The main causes of the changes of these three factors could be estimated by structural decomposition analysis. Purpose of the article: the objective of the research is the decomposition of the percentage changes over time in employment, gross value added and income in Latvian economy by their source: changes in intensities per unit of output, changes in the intermediate consumption and changes in the final demand structure. Methods: the traditional methods of the Input-Output framework, such as multipliers, elasticities, causative matrices enable the estimation of structural trends in economy sectors. However, they do not provide the share in the total impact of various factors on the changes in the economy. Structural decomposition analysis estimates the relative size of the impact of these factors within the total impact. Findings & Value added: the research results show rather large positive impact of final demand factor on employment, gross value added and income changes in both sectors. The impact of the intensities (reverse factor productivities), in turn, is large and negative. The impact of the intermediate demand is less marked. As the growth in final demand can be attributed solely to increase in export demand, this combined with the growth in labor productivity are the main drivers of employment changes in agriculture. The method can be effectively applied to other variables of interest for which the calculated intensities per unit of output make sense, such as carbon emissions, greenhouse gas emissions or energy input.
Measurement of dielectric constant using a microstrip ring resonator

An approach for measuring the permittivity of dielectric materials by means of a microstrip ring resonator is presented. The method is used in conjunction with the variational calculation of the line capacitance of a multilayer microstriplike transmission line to compute the effective permittivity and hence the resonant frequency of the ring. The results are compared with measurements made in X-band waveguide cavity-by-cavity perturbation techniques and tend to confirm that microstrip resonators can be used for dielectric measurements. However, for materials having a large dielectric constant, comparative results seem to diverge rapidly. >
NnABI4-Mediated ABA Regulation of Starch Biosynthesis in Lotus (Nelumbo nucifera Gaertn)

Starch is an important component in lotus. ABA is an important plant hormone, which plays a very crucial role in regulating plant starch synthesis. Using ‘MRH’ as experimental materials, the leaves were sprayed with exogenous ABA before the rhizome expansion. The results showed that stomatal conductance and transpiration rate decreased while net photosynthetic rate increased. The total starch content of the underground rhizome of lotus increased significantly. Meanwhile, qPCR results showed that the relative expression levels of NnSS1, NnSBE1 and NnABI4 were all upregulated after ABA treatment. Then, yeast one-hybrid and dual luciferase assay suggested that NnABI4 protein can promote the expression of NnSS1 by directly binding to its promoter. In addition, subcellular localization results showed that NnABI4 encodes a nuclear protein, and NnSS1 protein was located in the chloroplast. Finally, these results indicate that ABA induced the upregulated expression of NnABI4, and NnABI4 promoted the expression of NnSS1 and thus enhanced starch accumulation in lotus rhizomes. This will provide a theoretical basis for studying the molecular mechanism of ABA regulating starch synthesis in plant.
Green Design of Residential High-Rise Buildings in Livable Cities

This paper illustrates the interdependency of the sustainable design of high-rise residential buildings and their urban habitats. It argues that increased density is commensurate with the goals of sustainability and fosters a livable city with residences, goods, and services concentrated onto a smaller land area. Green design for buildings is achieved by adopting certain strategies such as passive solar gain, high performance facade technology, solar energy, wind energy, fuel cells, smart materials, etc. LEED criteria, which have been written primarily for commercial and institutional buildings, are just beginning to be applied to multi-family residential buildings. With more residential high-rise buildings being constructed in cities, there is a need for more specialized criteria to address sustainable design. Significantly, LEED does not address social sustainability that encompasses community development, social infrastructure, demographics, and social integration. Also, ecological sustainability is not explicitly considered in LEED criteria. That is to say, the space-defining characteristics of high-rise residential buildings and their conformity with the natural surroundings and environmental impact on the city must be considered. Social sustainability and community development, in conjunction with the design of buildings and infrastructure, determine the livability of cities and effect high-rise residential living. The paper will present some propositions in this regard. Case study examples, such as The Solaire located in Battery Park City in New York and The Helena, also in New York City, demonstrate how sustainability and livability are achieved through resource conservation, passive and bioclimatic design, and technological innovation. The paper concludes that the livable city is intrinsically related to the design and integration of sustainable principles applied to high-rise residential buildings and their urban environments.
roboSLAM: Dense RGB-D SLAM for Humanoid Robots

In the current paper we investigate the challenges of localizing walking humanoid robots using Visual SLAM (VSLAM). We propose a novel dense RGB-D SLAM framework that seamlessly integrates with the dynamic state of a humanoid, to provide real-time localization and dense mapping of its surroundings. Following the path of recent research in humanoid localization, in the current work we explore the integration between a VSLAM system and the humanoid state, by considering the gait cycle and the feet contacts. We analyze how these effects undermine the quality of data acquisition and association for VSLAM, by capturing the unilateral ground forces at the robot’s feet, and design a system that mitigates their impact.We evaluate our framework on both open and closed-loop bipedal gaits, using a low-cost humanoid platform, and demonstrate that it outperforms kinematic odometry and state-of-the-art dense RGB-D VSLAM methods, by continuously localizing the robot, even in the face of highly irregular and unstable motions.
Impact of agricultural abandonment on soil organic carbon: The case of semi‐steppe rangeland in Central Iran

This study investigated the change in soil organic carbon (SOC), soil labile carbon (C), soil total nitrogen (N), particulate organic carbon (POC), mineralizable soil C (Min‐C) in soil aggregate fractions, and soil particles size at 0–30 cm soil depth of the semi‐steppe rangelands in Central Iran (Sheida and Khargosh regions). The study used a fully randomized design with four land uses in the rangelands including covered with rainfed wheat (CR0), abandoned rangelands (ARs) for 5–15 years (AR15), abandoned rangeland for 16–40 years (AR40), and permanently uncultivated rangelands (UR) as the reference sites that were replicated three times (n = 3) with at most 2 km distance from each other in an area of 25 ha. For each treatment, the soil samples were randomly obtained at 0–30 cm soil depth in three replicated plots of 2 × 2 m using a core size of 7 cm in diameter. The samples were mixed to take a composite soil sample (12 soil samples in each region) in June 2018. The results indicated that soil POC is the most sensitive fraction for the identification of shifts in the total SOC after the cultivation cessation because by increasing the abandoned land and the cessation of cropland activities, the POC has also increased. In conclusion, after the cessation of rainfed cropping and the recovery of natural vegetation, the increases in soil microorganism activity can result in a higher nutrient cycling in the degraded rangeland ecosystems.
Some aspects of the design of aircraft steering systems

THE FUNDAMENTAL principles governing the behaviour of aircraft during steering manoeuvres on the ground are now well known and documented, but one particular aspect of the problem has not, to the writer's knowledge, been dealt with in the literature. This article examines this feature and describes methods for evaluating its effect on the overall steering power requirements and system behaviour. The influence of tyre characteristics is also examined.
OSH management framework for workers at construction sites in Sri Lanka

Purpose – This study attempts to identify a simple and efficient framework to be implemented in the Sri Lankan construction industry to inculcate a “safe and healthy” working environment for its workforce.Design/methodology/approach – The occupational safety and health (OSH) management strategies that could be implemented in the construction sites were identified through a comprehensive literature survey and a pilot survey. A questionnaire survey was carried out among the safety and health (S&H) experts to explore the most effective OSH management strategies and thereafter to derive OSH mechanisms to promote the safer and healthy environment in the construction sites. Success of these mechanisms in the local industry was analyzed and was subsequently used to develop the OSH management framework.Findings – A total of 35 significant OSH management strategies, unsafe and unhealthy factors as risk factors for fatal and non‐fatal situations were identified. A further ten OSH management mechanisms were establis.
Evaluation of Sub-Surface Stresses Using Thermoelastic Stress Analysis

Thermoelastic stress analysis (TSA) is a well established technique for stress analysis. Recent studies have revealed that the technique can be used to detect sub-surface defect effectively. In this study, the technique has been used to examine the thermoelastic response to sub-surface damage in simple bar specimens. The non-adiabatic thermoelastic response from areas close to the damage has been studied. The study shows that the phase of the response along with the thermal diffusion can provide a parameter that will help reveal subsurface stresses.
mslp: a comprehensive pipeline in predicting cancer mutations specific synthetic lethal partners

Background Mutation specific synthetic lethal partners (SLPs) offer significant insights in identifying novel targets and designing personalized treatments in cancer studies. Large scale genetic screens in cell lines and model organisms provide crucial resources for mining SLPs, yet those experiments are expensive and might be difficult to set up. Various computational methods have been proposed to predict the potential SLPs from different perspectives. However, those efforts are hampered by the low signal-to-noise ratio in simple correlation based approaches, or incomplete reliable training sets in supervised approaches. Results Here we present mslp, a comprehensive pipeline to identify potential SLPs via integrating genomic and transcriptomic datasets from both patient tumours and cancer cell lines. Leveraging cuttingedges algorithms, we identify a broad spectrum of primary SLPs for mutations presented in patient tumours. Further, for mutations detected in cell lines, we develop the idea of consensus SLPs which are also identified as screen hits, and show consistency impact on cell viability. Applied in real datasets, we successfully identified known synthetic lethal gene pairs. Remarkably, genetic screen results suggested that consensus SLPs have a significant impact on cell viability compared to common hits. Conclusions Mslp is a powerful and flexible pipeline to identify potential SLPs in a cancer context-specific manner, which might aid in drug developments and precise medicines in cancer treatments. The pipeline is implemented in R and freely available in github.
Real-Time Traffic Information and Navigation

Consumer demand for accurate, reliable, and up-to-date traffic information has prompted TomTom to develop a new system for using multiple traffic information sources and integrating them with in-car navigation. This new system, called high-definition traffic, has been introduced in the Netherlands, United Kingdom, France, Germany, and Switzerland and is planned for introduction in other European countries in 2009. The goal is to provide drivers with accurate door-to-door travel time, delay time, estimated arrival time, and seamless cross-border information services integrated into personal navigation devices: thus route choice can be made based on real-time traffic information and adjusted continually on the basis of changing traffic conditions. The traffic information provided to drivers is based on four sources: data from global system for mobile communications networks, data from users of TomTom navigation devices (real-time Global Positioning System data), third-party data such as government traffic control centers, and historic information collected from navigation devices. The information is provided to drivers by connected navigation devices, which include subscriber identity module cards and allow for two-way data transmission. These connected devices incorporate traffic information into route calculations to provide drivers with real-time travel and delay times. The combination of more accurate and complete traffic information with connected in-car systems provides drivers with the capability of making informed decisions about departure times and routes as well as whether to make a trip by car.
Current Scenario of Hibiscus Sabdariffa (Mesta) In India (Maharashtra)

Green fibres like flax, jute, sisal, kenaf, mesta which has been used for more than 8000 years are the present and the future raw materials not only for the textile industry but also for modern eco- friendly composites, cosmetics, medicine, food, fodder, bio- polymers, agro fine chemicals and energy. Potentially under optimum cultivation conditions they cause little or no detrimental effect on the eco- system and they can be grown in different climatic zones. Organically cultivated, they recycle the carbon dioxide in the earth’s atmosphere. In the present study the current status of the cultivation process, harvesting and retting methods of Hibiscus Sabdariffa (mesta) are studied and documented along with its current uses and socio economic factors influencing the production of the crop. The crop is cultivated in the most organic and efficient way with the sowing happening in the month of July, with the onset of monsoon. Special organic compost is prepared as manure and applied to the crop at regular intervals. Harvesting is done individually in the month of December with the help of a sickle. The plant is not uprooted rather cut at the bottom with utmost care to avoid any damage to the fibre. The crop is planted for the calyces and the leaves which are consumed as food, while the stalks are the by- product so the process of retting takes its own time. Water retting is carried out with beat and jerk extraction method and then the fibres are dried in sun. The current scenario is fortified with the farmer’s interview about various socio economic factors which revealed the reality of farming. The younger generation is not interested in farming and the farmers don’t wish to involve their children in farming either. Hence, is the future of natural fibres in safe
Defining High-Quality Answers on a Chinese Tourism Q&A Platform in Terms of Information Needs

Travel Question and Answer (Q&A) platforms are widely used by travelers to exchange information online. This paper examined one such platform, Ctrip Q&A, to better understand the features of high-quality answers. The questions were first categorized into four types of information required by tourists (knowledge, efficiency, risk, and hedonic types) and then subdivided into more concrete elements, such as accommodation, food, and climate. The characteristics of high-quality answers on the platform were identified and a regression analysis was conducted to determine their importance. The study found that negative emotional expressions negatively impacted the quality of answers while the usefulness, richness, and amount of information had a positive effect. The usefulness of the answer content and quantity of information consistently predicted high-quality answers, whereas richness and conciseness were inconsistently related. Finally, the characteristics of high-quality answers to questions about different elements of tourism in the same category of tourist information varied significantly. This study may help travelers select and provide high-quality answers on tourism Q&A platforms. It may also assist platform operators in optimizing the features of their platforms, thereby improving user satisfaction and overall quality.