Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on the Attribute Extraction Algorithm of People and Vehicles Based on Video Structure

With the development of sensor technology and computer vision, the speed of video generation is increasing exponentially. The workload of video browsing and the amount of stored data are increasing. In order to achieve fast browsing and efficient storage, video structure technology is increasingly important. This paper focuses on the video structure technology in the construction of smart cities, outlines the system process of video structure, and studies the extraction algorithm of human and vehicle target attributes based on deep learning. And combined with the actual video monitoring scene, the experiment is carried out. Compared with traditional image processing methods, the video structure target attribute extraction model based on deep learning has high detection accuracy and strong algorithm generalization ability. The intelligent analysis and processing of data by video structure technology is conducive to quickly increasing the speed of target search, reducing storage capacity, solving the problem of long-term storage, and realizing full automation of surveillance video.
Multi-tier supply chain sustainability in the pulp and paper industry: a framework and evaluation methodology

ABSTRACT The pulp and paper industry has significant sustainability implications and necessarily requires a careful consideration of direct and lower-tier suppliers for effective sustainable supply chain management. This paper utilized an extensive literature review and semi-structured interviews of experts in the Chinese pulp and paper industry to unearth the factors that highly influence multi-tier supply chain sustainability. A Technological-Organizational-Environmental (TOE) and Human-Organizational-Technological (HOT-fit) based theoretical framework was employed to classify the identified factors. Then, an Analytical Hierarchy Process (AHP) based methodology was applied to determine the relative importance of the factors. A comparison analysis of the relative importance of the factors as determined by the experts in the focal companies, Tier-1 suppliers and Tier-2 suppliers of the Chinese pulp and paper industry is presented. The results show that institutional and technological factors are most critical to actualizing multi-tier supply chain sustainability. Thus, the study outcomes present relevant theoretical and practical implications for the managers and practitioners in the pulp and paper industry on how to facilitate multi-tier supply chain sustainability for increased competitiveness. Furthermore, this study provides guidelines for other industries as well and sets the stage for subsequent theorization and exploration of multi-tier supply chain sustainability for expected performance gains.
Radiochromic Films for the Two-Dimensional Dose Distribution Assessment

Radiochromic films are mainly used for two-dimensional dose verification in photon, electron, and proton therapy treatments. Moreover, the radiochromic film types available today allow their use in a wide dose range, corresponding to applications from low-medical diagnostics to high-dose beam profile measurements in charged particle medical accelerators. An in-depth knowledge of the characteristics of radiochromic films, of their operating principles, and of the dose reading techniques is of paramount importance to exploit all the features of this interesting and versatile radiation detection system. This short review focuses on these main aspects by considering the most recent works on the subject.
Woodland Expansion in Upland National Parks: An Analysis of Stakeholder Views and Understanding in the Dartmoor National Park, UK

Woodland expansion on a significant scale is widely seen to be critical if governments are to achieve their net zero greenhouse gas ambitions. The United Kingdom government is committed to expanding tree cover from 13% to at least 17% in order to achieve net zero by 2050. With much lowland area under agricultural production, woodland expansion may be directed to upland areas, many of which are national parks under some degree of conservation jurisdiction. This may prove to be controversial, requiring full engagement with the interests of those individuals with a stake in their protection and management. In this paper, we explore how a range of stakeholders view the prospect of woodland expansion in Dartmoor National Park in southwest England, UK. Fifteen stakeholders—a mix of key informants and farmers—were shown different woodland expansion scenarios in map form and consulted using semi-structured interviews. The findings suggest widespread enthusiasm for woodland expansion, but with significant differences in terms of the scale and approach. Stakeholders raised topics of biodiversity gain, climate change mitigation, environmental benefits, cultural ecosystem gain, and forest crop benefits. Caution was expressed regarding target setting, the place of woodland expansion in the national debate, and the potential for harm from inappropriate new planting. The constraints identified were land tenure patterns, notably tenancy insecurity and ‘common land’ challenges, historical farming policy and culture, landscape objectives, and future policy design.
A novel magnetic resonance imaging protocol to investigate how visual triggers impact urgency urinary incontinence

Background: Visual stimuli are recognized to stimulate urinary urgency and urgency urinary incontinence (UUI). Current pathophysiology recognizes the importance of cortical control over micturition, but as clinicians lack any methodology to evaluate causal triggers, a MRI protocol for urologic use that explores the brain’s response to visual triggers in subjects with clinical symptoms of trigger-related UUI was developed. Methods: Using a 3 Tesla Philips Elition Scanner, structural T1 weighted images were acquired and used to define ~200 brain regions based on a validated brain atlas. Diffusion Tensor Imaging (DTI) and Myelin Water Fraction (MWF) scans were then obtained to investigate for myelin abnormalities. A functional MRI (fMRI) component followed, where, during scanning, patients were shown a defined random sequence of visual stimuli that consisted of subject-specific trigger images supplied by each subject, interspersed with neutral images. The fMRI study was performed after natural bladder filling. Results: N=10 subjects participated (6 asymptomatic controls and 4 with UUI). Debriefing confirmed that images within the sequence had triggered symptoms of UUI; tractography demonstrated robust structural connectivity between the anterior cingulate cortex and periaqueductal grey matter. Discussion: Conventional investigation of UUI lacks evaluative methodology for the impact of visual triggers on sensation of urgency and onset of incontinence, yet cortical control is recognized to be a major component of UUI in large numbers of the affected population. Conclusion: We describe the feasibility of a novel 1 hour 6 minute fMRI protocol for evaluation and quantification of the cortical mechanisms underlying visual triggers for UUI.
Application of Hansen solubility approach for the subcritical and supercritical selective extraction of phlorotannins from Cystoseira abies-marina

Cystoseira abies-marina is one of the most important brown algae species found in the Mediterranean Sea and Atlantic Ocean ecosystems and has been reported as a promising source of phenolic compounds, including phlorotannins, with important biological activities. In the present work, the possibility of developing new green processes to eliminate/replace the use of traditional polluting and often toxic solvents to obtain phlorotannin-enriched extracts is explored, looking for higher efficiency and compliance with the rules of green chemistry. The theoretical modelling of the Hansen solubility parameters could provide a useful and accurate estimation for the solvent selection and prediction of the solubility of these natural bioactive compounds. In order to drive the process towards the extraction of the target compounds, the chemical composition of phlorotannins from Cystoseira abies-marina was determined using a comprehensive two-dimensional liquid chromatography (LC × LC-MS/MS) method. Phlorethols, fucols or fucophlorethols containing from 3 to 14 phloroglucinol units (PGU) were tentatively identified. The estimation of Hansen solubility parameters of the most abundant phlorotannins (7 PGU) in some green solvents (ethanol, water, ethyl lactate and CO2 + ethanol) under sub- and supercritical conditions was carried out to improve their selective extraction and is presented for the first time. According to the theoretical approach, low temperatures of the extraction solvents provide the minimum Ra (difference in solubility parameter). However, this work experimentally demonstrates that pure ethanol at 100 °C showed the highest selectivity to extract phlorotannins. The Hansen approach proves to be a profitable tool to select a suitable solvent for extraction purposes.
Utilization of Low-Potential Energy Through to the Use in Aircraft Fuel System

The article discusses the possibility of improving the main characteristics (efficiency, specific thrust) of a gas turbine engine by using liquefied natural gas (LNG) as fuel. This possibility is considered on the example of using as fuel instead of aviation kerosene on PS-90A and NK-93 engines. The parameters of the engine were determined at various stages in the cruise flight mode when operating on kerosene and LNG. The parameters evaluating the fuel consumption of the engine are calculated and compared for both fuels. The performance characteristics for kerosene and LNG were evaluated in the system of the Tu-330 subsonic transport aircraft. Energy losses during storage of cryogenic fuel on board the aircraft are estimated.
A Profile Analysis of User Interaction in Social Media Using Deep Learning

Received: 17 February 2020 Accepted: 26 December 2020 It is highly important to detect malicious account interaction in social networks with regard to political, social and economic aspects. This paper analyzed the profile structure of social media users using their data interactions. A total of 10 parameters including diameter, density, reciprocity, centrality and modularity were used to comprehensively characterize the interactions of Twitter users. Moreover, a new data set was formed by visualizing the data obtained with these parameters. User profiles were classified using Convolutional Neural Network models with deep learning. Users were divided into active, passive and malicious classes. Success rates for the algorithms used in the classification were estimated based on the hyper parameters and application platforms. The best model had a success rate of 98.67%. The methodology demonstrated that Twitter user profiles can be classified successfully through user interaction-based parameters. It is expected that this paper will contribute to published literature in terms of behavioral analysis and the determination of malicious accounts in social networks.
An Adaptive End-to-end Codec based on Multi-source Fusion for UAV Equipped with 5G NSA Network

This paper proposed an adaptive end-to-end codec based on multi-source fusion. Our codec adjusts the coding scheme according to the channel condition adaptively, selects deep recursion when the channel is good to obtain sufficient and effective information, and shallow recursion to ensure the transmission of key frames when the channel condition is poor. Besides, communication information is also imported into the codec through parallel branches to avoid confusion caused by multiple sources. We test on the DJI M210 UAV equipped with 5G network to verify the usability of the adaptive end-to-end codec both quantitatively and qualitatively. Under the same target detection level, our codec provides higher compression rate, and adjusts the compression rate to adapt to different conditions.
Artificial Perception and Semiautonomous Control in Myoelectric Hand Prostheses Increases Performance and Decreases Effort

Dexterous control of upper limb prostheses with multiarticulated wrists/hands is still a challenge due to the limitations of myoelectric man–machine interfaces. Multiple factors limit the overall performance and usability of these interfaces, such as the need to control degrees of freedom sequentially and not concurrently, and the inaccuracies in decoding the user intent from weak or fatigued muscles. In this article, we developed a novel man–machine interface that endows a myoelectric prosthesis (MYO) with artificial perception, estimation of user intention, and intelligent control (MYO–PACE) to continuously support the user with automation while preparing the prosthesis for grasping. We compared the MYO–PACE against state-of-the-art myoelectric control (pattern recognition) in laboratory and clinical tests. For this purpose, eight able-bodied and two amputee individuals performed a standard clinical test consisting of a series of manipulation tasks (portion of the SHAP test), as well as a more complex sequence of transfer tasks in a cluttered scene. In all tests, the subjects not only completed the trials faster using the MYO–PACE but also achieved more efficient myoelectric control. These results demonstrate that the implementation of advanced perception, context interpretation, and autonomous decision-making into active prostheses improves control dexterity. Moreover, it also effectively supports the user by speeding up the preshaping phase of the movement and decreasing muscle use.
Catalan transform of the k-Pell, k-Pell–Lucas and modified k-Pell sequence

In this study, we present the Catalan transforms of the k-Pell sequence, the k-Pell–Lucas sequence and the Modified k-Pell sequence and examine the properties of the sequences. Then we apply the Hankel transform to the Catalan transforms of the k-Pell sequence, the Catalan transform of the k-Pell–Lucas sequence and the Catalan transform of the Modified k-Pell sequence. Also, we obtain the generating functions of the Catalan transform of the k-Pell sequence, k-Pell–Lucas sequence and Modified k-Pell sequence. Furthermore, we acquire an interesting characteristic related to the determinant of the Hankel transform of the sequences.
The Senescence-Associated Endonuclease, PhENDO1, Is Upregulated by Ethylene and Phosphorus Deficiency in Petunia

The upregulation of endonuclease activities and subsequent decreases in the nucleic acid content of leaves and petals are characteristics of senescence that allow for nutrient remobilization from dying organs. We previously identified a 43-kDa endonuclease activity (PhNUC1) that was upregulated in Petunia × hybrida petals during senescence. PhNUC1 has optimal activity at neutral pH, is enhanced by Co2+, and degrades both DNA and RNA. The peptide sequence of a 43-kDa endonuclease identified from senescing petals by 2-dimensional gel electrophoresis was used to clone the gene (PhENDO1) encoding the senescence-associated protein. PhENDO1 expression was upregulated in petals during the senescence of unpollinated and pollinated flowers and by ethylene treatment. When petunias were grown under nutrient deficient conditions, P-starvation, and to a lesser extent N-starvation, induced expression of PhENDO1. The endogenous expression of PhENDO1 was down regulated using virus induced gene silencing (VIGS), and in-gel endonuclease assays confirmed that the activity of the 43-kDa PhNUC1 was decreased in senescing corollas from PhENDO1-silenced (pTRV2:PhCHS:PhENDO1) plants compared to controls (pTRV2:PhCHS). Down regulating PhENDO1 in petunias did not alter flower longevity. While PhENDO1 may be involved in nucleic acid catabolism during senescence, down regulating this gene using VIGS was not sufficient to delay flower senescence.
Using Toulmin’s Argument Pattern Approach to Identify Infodemics in the Covid-19 Pandemic Era

The emergence of various web pages and social media platforms that exist in today’s digital information era makes it easy for us to access various sources of information and makes us flooded with information. This condition has the potential to result in the loss of our mental health. This is known by the World Health Organization (WHO) as an infodemic which is an excessive amount of information, both true and false, which makes it very difficult for people to find reliable news about the coronavirus, and has increased the spread of fake news, conspiracy theories, worldwide panic and confusion. WHO and all the governments of each country in the world have also carried out various efforts to break the chain of spreading fake news. But the spread of fake news around the world is faster than there is any control over it. Therefore, we need an awareness of each individual in order to equip themselves with the knowledge and skills in identifying fake news. Physics as a branch of science discipline cannot be separated from this fake news. One example of fake news about physics related to Covid-19 is the statement that the thermo gun used to measure body temperature is dangerous to human health because of its laser beam radiation. One alternative way that can be used to evaluate the truth of the news is by assessing the strength of the news argumentation. Toulmin’s argument pattern has been widely applied to analyze the quality of an argument, which can be applied in evaluating the truth of a received news content. This paper aims to provide an alternative in identifying the “infodemic” in the Covid-19 Pandemic era in evaluating the correctness of information by applying the Toulmin Argument Pattern. This argumentation pattern distinguishes three fundamental components and three additional components of a coherent argumentative discourse. The main framework of this pattern in analyzing arguments consists of three main components: claim, data, and warrant. Where data provides the basis for determining claims, warrant acts as a logical reasoning bridge that connects data and claims. Three additional components can be added to construct a more complex pattern for analyzing arguments: backings, qualifiers, and rebuttals. Where backing is the part that provides additional evidence to strengthen the warrant, Qualifiers indicate the strength provided by the warrant in relating data to claims, while rebuttals indicate circumstances where the warrant in this condition is no longer valid so that the claim can be rejected.
Aboveground and belowground traits of turf-type bahiagrass (Paspalum notatum
 Flügge) genotypes under simulated drought

As awareness of environmental impacts of anthropogenic ecosystems increases, low input turfgrass species like bahiagrass ( Paspalum notatum Flügge) may become more prominent in urban landscapes and on golf courses. A study was conducted at the West Florida Research and Education Center, Jay, FL, USA, to evaluate the performance of novel turf-type bahiagrass genotypes under drought conditions. The experiment was arranged as a completely randomized block design. Three Wilmington-mutants, three Argentine-mutants, two experimental lines, and two industry standards [‘Argentine’ and ‘Empire’ zoysiagrass ( Zoysia japonica Steud.)] were selected for this trial. Aboveground and belowground characteristics were evaluated by growing the grasses in clear acrylic tubes under greenhouse conditions. A progressive dry-down and well-watered control comprised the treatments. The tubes were weighed daily to determine their transpiration break and midpoints. The rate of root depth development (RRDD) was recorded by measuring the single visible deepest root. At the end of the dry down, plant roots were harvested and analyzed using WinRhizo. Although total root growth was reduced under drought conditions, plants tended to have faster vertical root growth and prioritized
In the eye of the storm
 …
 again
 ! Social policy responses to
 COVID‐19
 in Southern Europe

Abstract This paper aims to describe and discuss the significance of the social policy measures implemented in Southern European countries? Greece, Italy, Portugal and Spain? in response to the first wave of COVID-19 Our analysis covers interventions from 1 March to June 30, 2020 Despite significant differences in how the COVID-19 pandemic spread? with Italy and Spain experiencing much higher rates of infection and lethality? Southern European economies are among the most hard-hit? and are likely to find themselves in the eye of the storm, once more The paper shows that despite differences in how countries have countered the spread of COVID-19, there are important commonalities in the actions governments took to counteract the economic impact of the pandemic Foremost efforts were directed at wage subsidy schemes to contain mass job destruction, additional temporary benefits to compensate self-employed and other non-standard workers for the loss of earnings;the expansion of unemployment insurance;and finally, the introduction and/or strengthening of schemes to provide support to families with care responsibilities The scale of the social policy and employment protection response has nevertheless been constrained by the fiscal position of each individual country in the post-Euro crisis context We argue that, in the long run, the response capacity of these governments and the social and economic consequences of this crisis will need to be contextualised against the backdrop of the deep and prolonged impact of austerity-driven measures on public budgets, production and welfare regimes over the last decade
Effect of Cod Liver Oil Supplementation in Feed on the Haematological Values and Concentration of Epididymis Spermatozoa of Local Rabbits

This the study aimed to determine the effect of cod liver oil supplementation in commercial feed on the haematological values and concentration of epididymis spermatozoa of local rabbits. The experimental design used was Completely Randomized Design with four feed treatments, i.e. commercial feed without supplementation of cod liver oil (P0) as control, commercial feed supplemented by 1.5% (R1), 3% (R2), and 4.5% (R3) of cod liver oil. Each trial consisted of eight rabbits and feed experiment was given starting by 13 weeks to 26 weeks of years old. The variables measured were the count of red blood cell (RBC), white blood cell (WBC), platelets, haemoglobin (Hb), packed cell volume (PCV), and concentration of epididymis spermatozoa of local rabbits. The results showed that supplementation of cod liver oil with a different grade in feed commercial had a significant effect (P<0.05) on the haematological values and concentration of epididymis spermatozoa of local rabbits. It can be concluded that cod liver oil supplementation in commercial feed at 4.5% level capable maintain normal haematological values and can increase the concentration of epididymis spermatozoa of local rabbits. Introduction