Miracle-dz/UniFAR-FTUs huggingface dataset:
ISEE: Industrial Internet of Things perception in solar cell detection based on edge computing

The photovoltaic industry is a strategic and sunrise industry with international competitive advantages. Driven by policy guidance and market demand, the new energy industry represented by the photovoltaic industry has been a significant emerging industry in developing the national economy and people’s livelihood. Stable photovoltaic power generation capacity supply is a critical issue in the photovoltaic industry. With the popularization of industrial Internet technology and Internet of things technology, more and more academic and industrial circles begin to introduce new technologies to provide the latest research results and solutions for the photovoltaic industry. Electroluminescence is a standard detection method for photovoltaic production in the application of solar energy production. This method uses human vision to detect whether the solar silicon unit is defective. In this article, due to the three core pain points in traditional electroluminescence detection: low efficiency of offline identification, low accuracy and accuracy of data detection, and no online diagnosis and prediction, we carry out ISEE research based on edge computing unit. ISEE uses the edge device to collect the real-time video image of the solar panel through the camera. Then it uses the powerful neural network processing unit module of the edge computing unit, combined with the convolutional neural network algorithm transplanted to the edge, to detect the defects of solar panels in real time. It completes the research on intelligent detection of photovoltaic power generation production defects based on the Internet of Things. After a large number of experimental design verification, ISEE effectively improves the automation degree and identification accuracy in the production and detection process of solar photovoltaic cells and reduces the cost of operation and maintenance. The accuracy rate reaches 93.75%, which has significant theoretical research significance and practical application value.
Climatic curves as predictors in MaxEnt niche modeling

Environmental niche modelling (ENM) uses different types of variables to predict species occurrence. In widespread use are variables derived from climatic curves, i.e., average annual changes in some climatic parameter. This study shows how to use the climatic curves themselves as ENM predictors. The key step is projection of the curves’ constituent variables on a suitable spline basis, which preserves time-ordering of the variables and supports smoothness of predictions. Complexity of the model is controlled by sensible choice of the spline basis, followed by lasso regularization in model fitting.
Suppression of Arctic sea ice growth in the Eurasian-Pacific Seas by winter clouds and snowfall

The ongoing Arctic warming has been pronounced in winter and has been associated with an increase in downward longwave radiation. While previous studies have demonstrated that poleward moisture flux into the Arctic strengthens downward longwave radiation, less attention has been given to the impact of the accompanying increase in snowfall. Here, utilizing state-of-the-art sea ice models, we show that typical winter snowfall (snow water equivalent) anomalies of around 1.0 cm, accompanied by positive downward longwave radiation anomalies of ~5 W m-2 can cause basin-wide sea ice thinning by around 5 cm in the following spring over the Eurasian-Pacific Seas. In extreme cases, this is followed by a shrinking of summer ice extent. In the winter of 2016–17, anomalously strong warm/moist air transport combined with ~2.5 cm increase in snowfall (snow water equivalent) decreased spring ice thickness by ~10 cm and decreased the following summer sea ice extent by 5–30%. This study suggests that small changes in the pattern and volume of winter snowfall can strongly impact the sea ice thickness and extent in the following seasons.
Assessing the application of Kaizen principles in Indian small-scale industry

Purpose – This study aims to represent Kaizen implementation in a machine vice manufacturing company. Kaizen has shown tremendous impacts on the production techniques and lead times. A large number of small-scale industries have shown their existence in India. It has been difficult for small industries to survive due to tough competition among them. All are facing problems like low production and poor-quality products. Design/methodology/approach – The methodology applied to implement Kaizen in Indian small-scale industry. Fishbone diagrams have been used to represent cause and effects. The result has been shown as savings in terms of money and time. Findings – Inventory access time is reduced up to 87 per cent and total distance travelled and total time taken by product is reduced up to 43.75 and 46.08 per cent, respectively. A habit to maintain a clean workplace has been developed in workers. Research limitations/implications – ISO could be integrated with Kaizen for more improvements. Practical implica.
Ingestão da tintura de valeriana officinalis protege da discinesia orofacial induzida por reserpina em ratos

Master Dissertation Graduate Course in Biological Sciences: Toxicologic al Biochemistry Federal University of Santa Maria, RS, Brazil INTAKE OF THE VALERIANA OFFICINALIS TINCTURE PROTECTS AGAINST OROFACIAL DYSKINESIA INDUCED BY RESERPINE IN RATS AUTHOR: Romaiana Picada Pereira ADVISOR: Vera Maria Morsch CO-ADVISOR: João Batista Teixeira da Rocha DATE AND PLACE OF THE DEFENSE: Santa Maria, April, 15, 2009. Considering the hypothesis that GABA and oxidative stress are involved in the development of oral movements associated with impor tant neuropathologies, the present study investigated the possible ability of V. officinalis in the prevention of vacuous chewing movements (VCMs) induced by reserpine in rats. Adul t male rats were treated with reserpine (1 mg/kg, s.c.) and/or with V. officinalis (in the drinking water). VCMs, locomotor activity and oxidative stress measurement s were evaluated. The neuroprotective effect of V. officinalis against iron-induced cell toxicity was investigate d in brain cortical slices. Furthermore, we carried out the identifica tion of valeric acid and gallic acid by HPLC in the V. officinalis tincture. Our findings demonstrate that reserpine caused a marked increase on VCMs and the co-treatment with V. officinalis was able to reduce the intensity of VCM. Reserpine did not induce oxidativ e stress in cerebral structures (cortex, hippocampus, striatum and substantia nigra). However, a significant positive correlation between DCF-oxidation (an estimation of oxidative s tress) in the cortex and VCMs (p<0.05) was observed. Moreover, a tendency for a n egative correlation between Na KATPase activity in substantia nigra and the number of VCMs was observed (p= 0.06). In vitro, V. officinalis protected brain cortical slices viability against F e(II)-induced neurotoxicity. In conclusion, V. officinalis had in vitro and in vivo neuroprotective effects in rats, i.e., reduced Fe(II) neurotoxicity and reserp ine-induced VCMs, probably via modulation of oxidative stress in specific brain nu cle s and its GABA-mimetic action. However, the mechanisms involved in this protective activity needs to further investigated to better understand the action of V. officinalis.
An integrative approach to the management of disease in mixed wildlife-livestock systems

Livestock diseases have a significant impact on human health and economic activity. Where multi-host pathogens are present in mixed wildlife-livestock systems, wildlife reservoirs of disease may prevent eradication in livestock. Management of such diseases requires an understanding of the biological processes governing their transmission, and also of the socio-economic factors influencing stakeholder’s management decisions. This thesis aims to identify risk factors for the presence of single and multiple diseases in livestock, quantify direct and indirect interactions between multiple wildlife and livestock species and evaluate the effectiveness and practicality of the resulting possible management interventions. The study mainly uses the example of tuberculosis in south-central Spain, a region which suffers high prevalence in both cattle and wildlife. Risk factors for disease were evaluated with questionnaires and participatory mapping. Potential opportunities for disease transmission through direct and indirect interactions between different host species were measured using proximity logging and GPS collars attached to multiple wildlife and livestock species, and base stations placed at resource and control points on a cattle farm. The resultant possible disease management interventions were ranked by stakeholders using best-worst scaling. Risk factors for tuberculosis in cattle were the presence of wildlife, the number of streams per hectare on a farm and the provision of cattle food on the ground. Intra- and inter-herd contacts between cattle were risk factors for multiple livestock diseases. Direct interactions between species happened so rarely that they are not likely to account for all disease transmission. Indirect interactions, particularly between cattle, red deer and pigs, warrant further investigation. These results were used to identify possible management interventions. An expert panel ranked a ban on supplementary feeding of game species as the most effective intervention. Different stakeholder groups varied in which interventions they considered practical. Management of livestock diseases in mixed systems requires the targeted prevention of indirect interactions between livestock and wildlife, using interventions that are effective, practical and supported by relevant stakeholders.
Metal-Organic-Frameworks: Low Temperature Gas Sensing and Air Quality Monitoring

As an emerging class of hybrid nanoporous materials, metal-organic frameworks (MOFs) have attracted significant attention as promising multifunctional building blocks for the development of highly sensitive and selective gas sensors due to their unique properties, such as large surface area, highly diversified structures, functionalizable sites and specific adsorption affinities. Here, we provide a review of recent advances in the design and fabrication of MOF nanomaterials for the low-temperature detection of different gases for air quality and environmental monitoring applications. The impact of key structural parameters including surface morphologies, metal nodes, organic linkers and functional groups on the sensing performance of state-of-the-art sensing technologies are discussed. This review is concluded by summarising achievements and current challenges, providing a future perspective for the development of the next generation of MOF-based nanostructured materials for low-temperature detection of gas molecules in real-world environments.
Monitoring Mining Activities Using Sentinel-1A InSAR Coherence in Open-Pit Coal Mines

Long-term continuous monitoring of the mining activities in open-pit coal mines is conducive to planning and management of the mining operations. Additionally, this faciliatates assessment on their environmental impact and supervises illegal mining behaviors. Interferometric Synthetic Aperture Radar (InSAR) technology can be effectively applied in the monitoring of open-pit mines where vegetation is sparse and land cover is dominated by bare rock. The main objective of this study is to monitor the mining activities of four open-pit coal mines in the Wucaiwan mining area in China from 2018 to 2020, namely No. 1, No. 2 (containing two mining areas), and No. 3. We use the normalized differential activity index (NDAI) based on the coherence coefficient as an indicator of the mine activity due to its robustness to temporal and spatial decorrelation. After analyzing and removing the decorrelation caused by rain and snow weather, 70 NDAI images in 12-day intervals are obtained from Sentinel-1A InSAR coherence images. Then, the annually-averaged NDAI images are applied to an RGB composite technique (red for 2018, green for 2019, blue for 2020) to express the interannual variation of the mining activities. Points of interest are then selected for NDAI time series analysis. The RGB composite results indicated that No. 1 and 3 open-pit coal mines were continuously mined during the three years; whereas, the two mining areas of No. 2 were mainly active in 2018. The 12-day NDAI time-series graphs of No. 2 open-pit coal mine also indicate that the coal piles located in the coal transferring area of the first mining area were not completely removed until April 2019. It is also seen that the second mining area was decommissioned in November 2018 and became rehabilitated in July 2019. Results were validated using the Sentinel-2A images and related background information confirming the efficiency of the proposed approach for monitoring the mining activity in open-pit mines.
EMI test facilities-sensors and instrumentation

Summary form only given. The rapid growth of electronics technology has led to the use of electronics hardware in all walks of life involving a wide spectrum of applications. With the large scale proliferation of electrical and electronic equipment in today's world and the advent of such state-of-the-art technologies like satellite communication, computer networking, E-mail, paging systems, space programs and advanced missile technology, the need to have electromagnetic compatibility assumes paramount importance. The EMI standards though applicable to all equipment emitting electromagnetic radiation are more stringently followed in case of military equipment. The measurement of emission susceptibility requirements are stipulated in MILSTD-461C and Indian Std JSG 0261. The following are the essential test facilities required to carry out EMI/EMC test as per the prescribed standard: RF shielded anechoic enclosure; emission test system; susceptibility test system; EMP test system; GTEM cell for special susceptibility test; Helmoltz coil for magnetic susceptibility testing; and antennas, current probes and other accessories.
NUMERICAL RESULTS FOR LOTKA-VOLTERRA MODEL USING APPROXIMATE INERTIAL MANIFOLDS

Abstract A numerical study on the classical Lotka-Volterra model is performed, using approximate inertial manifolds. An analytical study consisting in the inertial form of the system is made. The construction of the approximate inertial manifolds is based on the identification of the absorbing domains using the graphical representations of the phase portraits. The hypotheses of the Jolly-Rosa-Temam algorithm are verified for certain values of parameters and the approximate inertial manifolds are constructed. Errors of approximation are computed.
Digital watermarking: applications, techniques and challenges

The explosive growth in the use of the Internet has made it an attractive medium for the distribution of multimedia material. However, it has become apparent that the digital nature of such material makes enforcement and proof of copyright ownership virtually impossible. Another problem with digital images and video is that undetectable modifications can be made with very simple and widely available equipment. As a result, the use of digital material for evidential purposes has been called into question at a time when the video surveillance industry is moving towards digital rather than analogue systems. Digital watermarking promises to address these issues. Different types of watermarking systems exist for different applications robust watermarks for copyright protection and fragile watermarks for integrity checking applications. The question is just how good are current digital watermark techniques and what are the issues surrounding their use in real-life situations?
Development and performance of a miniature, low cost mass spectrometer

A miniature, low cost mass spectrometer has been developed that is capable of unit resolution over a mass range of 10 to 50 AMU. The design of the mass spectrometer incorporates several new features that enhance the performance of the design over comparable instruments. An efficient ion source allows a relatively low power consumption without sacrificing resolution. Variable geometry mechanical filters allow for variable resolution. An onboard ion pump removes the need for an external pumping source. An onboard digital controller allows a large degree of flexibility over the operation of the mass spectrometer while eliminating the need for high voltage electrical feedthroughs. The miniature mass spectrometer is sensitive to fractions of a percentage of inlet gas, and formatted mass spectra are returned digitally to a laptop.
Alcohol, Tobacco and Tramadol Daily Consumption and Road Traffic Crashes among Motorcycle Taxi Drivers in Cotonou (Benin)

Background: In Benin, motorcycle taxi drivers make up a significant portion of road transport. The use of psychoactive substances, a behavior recognized as being at risk of road crashes, is frequent in this group. This study aimed to analyze the association between the consumption of psychoactive substances and the occurrence of road crashes among motorcycle taxi drivers. Methods: This was a cross-sectional study involving 430 motorcycle taxi drivers selected from motorcycle taxi stands in Cotonou (Benin) using a twostage cluster sampling technique. An interview with a structured questionnaire was used to collect data, which took place in March and April 2019. Alcohol, tramadol, and tobacco were the psychoactive substances considered in this study and their daily use was investigated. A binary logistic regression was used for the analysis. Results: Among the motorcycle taxi drivers surveyed, 27.79% (95% CI = 23.71 32.25) were involved in a road crash. The prevalence of psychoactive substances daily use was: 30.41% (95% CI = 26.17 35.00) for alcohol, 28.50% (95% CI = 24.37 33.02) for tramadol and 4.03% (95% CI = 2.51 6.42) for tobacco. Alcohol daily consumption (AOR = 2.09, 95% CI = 1.27 3.45, p = 0.004) was associated with a significant risk of road crashes. Conclusion: Interventions aiming to reduce psychoactive substances use should, therefore, be included in road safety policies, especially for this group.
Risk Assessment of Bone Fracture During Space Exploration Missions to the Moon and Mars

The possibility of a traumatic bone fracture in space is a concern due to the observed decrease in astronaut bone mineral density (BMD) during spaceflight and because of the physical demands of the mission. The Bone Fracture Risk Module (BFxRM) was developed to quantify the probability of fracture at the femoral neck and lumbar spine during space exploration missions. The BFxRM is scenario-based, providing predictions for specific activities or events during a particular space mission. The key elements of the BFxRM are the mission parameters, the biomechanical loading models, the bone loss and fracture models and the incidence rate of the activity or event. Uncertainties in the model parameters arise due to variations within the population and unknowns associated with the effects of the space environment. Consequently, parameter distributions were used in Monte Carlo simulations to obtain an estimate of fracture probability under real mission scenarios. The model predicts an increase in the probability of fracture as the mission length increases and fracture is more likely in the higher gravitational field of Mars than on the moon. The resulting probability predictions and sensitivity analyses of the BFxRM can be used as an engineering tool for mission operation and resource planning in order to mitigate the risk of bone fracture in space.
Two diverse carriers are better than one: A case study in α‐particle therapy for prostate specific membrane antigen‐expressing prostate cancers

Abstract Partial and/or heterogeneous irradiation of established (i.e., large, vascularized) tumors by α‐particles that exhibit only a 4–5 cell‐diameter range in tissue, limits the therapeutic effect, since regions not being hit by the high energy α‐particles are likely not to be killed. This study aims to mechanistically understand a delivery strategy to uniformly distribute α‐particles within established solid tumors by simultaneously delivering the same α‐particle emitter by two diverse carriers, each killing a different region of the tumor: (1) the cancer‐agnostic, but also tumor‐responsive, liposomes engineered to best irradiate tumor regions far from the vasculature, and (2) a separately administered, antibody, targeting any cancer‐cell's surface marker, to best irradiate the tumor perivascular regions. We demonstrate that on a prostate specific membrane antigen (PSMA)‐expressing prostate cancer xenograft mouse model, for the same total injected radioactivity of the α‐particle emitter Actinium‐225, any radioactivity split ratio between the two carriers resulted in better tumor growth inhibition compared to the tumor inhibition when the total radioactivity was delivered by any of the two carriers alone. This finding was due to more uniform tumor irradiation for the same total injected radioactivity. The killing efficacy was improved even though the tumor‐absorbed dose delivered by the combined carriers was lower than the tumor‐absorbed dose delivered by the antibody alone. Studies on spheroids with different receptor‐expression, used as surrogates of the tumors' avascular regions, demonstrated that our delivery strategy is valid even for as low as 1+ (ImmunoHistoChemistry score) PSMA‐levels. The findings presented herein may hold clinical promise for those established tumors not being effectively eradicated by current α‐particle radiotherapies.
Analysis of waveguides filled with uniaxial media and metamaterials for filter applications using the mode matching method

This dissertation will explore the analysis of waveguide discontinuities for the purpose of dielectric filled waveguide filter analysis and design. The filling media studied are uniaxial media and uniaxial media embedded with metamaterial. A literary search provides numerous methods and numerical techniques for analyzing waveguide class problems, but ultimately the Mode Matching Method (MMM) is chosen as the numerical analysis technique for this dissertation. An overview of waveguide theory and its application to the Mode Matching Method are presented. The Mode Matching Method is then used to analyze simple cases to confirm the numerical accuracy. Once accuracy is confirmed, Mode Matching theory is applied assuming the waveguides are filled with anisotropic medium. This theory is extended to uniaxial media with special orientations of the optic axis, because in practice the coordinate systems of media and waveguide do not always coincide. The Mode Matching Method with rotated optic axis is also extended to include the losses of the dielectric. This thesis also goes on to demonstrate the Mode Matching Method can accurately analyze dielectric waveguides with embedded metamaterial, specifically thin wire metamaterials Finally two dielectric filled waveguide filters are designed using the Mode Matching Method: one filter with embedded metamaterials and one filter without metamaterials. The filters are then manufactured. The measured results are compared to the Mode Matching results and shown to have excellent agreement. Analysis of Waveguides Filled with Uniaxial Media and Metamaterials for Filter Application using the Mode Matching Method
On-line partial discharge measurement on high voltage power cables

The viability of partial discharge (PD) measurements in the field on high-voltage power cables is investigated. On-line monitoring of each cable is achieved by making use of the connection between the cable fault screen and earth where a HF current transformer is clipped around it. A computer-based system is used for recording and analysing the results. Techniques to overcome some of the interference problems are presented.