Miracle-dz/UniFAR-FTUs huggingface dataset:
Combination of Polysaccharide Nanofibers Derived from Cellulose and Chitin Promotes the Adhesion, Migration and Proliferation of Mouse Fibroblast Cells

Extracellular matrix (ECM) as a structural and biochemical scaffold to surrounding cells plays significant roles in cell adhesion, migration, proliferation and differentiation. Herein, we show the novel combination of TEMPO-oxidized cellulose nanofiber (TOCNF) and surface-N-deacetylated chitin nanofiber (SDCtNF), respectively, having carboxylate and amine groups on each crystalline surface, for mouse fibroblast cell culture. The TOCNF/SDCtNF composite scaffolds demonstrated characteristic cellular behavior, strongly depending on the molar ratios of carboxylates and amines of polysaccharide NFs. Pure TOCNF substrate exhibited good cell attachment, although intact carboxylate-free CNF made no contribution to cell adhesion. By contrast, pure SDCtNF induced crucial cell aggregation to form spheroids; nevertheless, the combination of TOCNF and SDCtNF enhanced cell attachment and subsequent proliferation. Molecular blend of carboxymethylcellulose and acid-soluble chitosan made nearly no contribution to cell culture behavior. The wound healing assay revealed that the polysaccharide combination markedly promoted skin repair for wound healing. Both of TOCNF and SDCtNF possessed rigid nanofiber nanoarchitectures with native crystalline forms and regularly-repeated functional groups, of which such structural characteristics would provide a potential for developing cell culture scaffolds having ECM functions, possibly promoting good cellular adhesion, migration and growth in the designated cellular microenvironments.
Image Reconstruction Based on Fractional Tikhonov Framework for Planar Array Capacitance Sensor

Planar array capacitance sensor imaging is a nondestructive imaging technique that can provide the permittivity distribution of media across capacitance data measured by electrodes. However, the image reconstruction problem is ill-posed because the dimensions of sensitive field data and the capacitance data are substantially unmatched, which leads to unstable imaging and low imaging accuracy. This paper proposes an imaging methodology of the fractional Tikhonov framework with automatic parameter selection to visualize the permittivity distribution of the object field. The proposed methodology replaces the severely ill-posed inverse problem with a penalty least squares problem. The fractional power of the Moore-Penrose pseudoinverse is utilized as the weighting matrix to measure the residual error in regularization. A synchronous iterative automatic selection method is proposed instead of empirical selection to realize the automatic determination of fractional power and fractional regularization parameters. In addition, the residual error in the regularization process is reduced and the quality of the solution is improved. The numerical experiments indicated that the proposed algorithm can ensure the accuracy of the solution and can achieve high precision reconstruction images.
Place-Based Consequences of Person-Based Transfers

This paper studies how government transfers respond to changes in local economic activity that emerge during recessions. Local labor markets that experience greater employment losses during recessions face persistent relative decreases in per capita earnings. However, these areas also experience persistent increases in per capita transfers, which offset 16 percent of the earnings loss on average. The increase in transfers is driven by unemployment insurance in the short run, and medical, retirement, and disability transfers in the long run. Our results show that nominally place-neutral transfer programs redistribute considerable sums of money to places with depressed economic conditions
Commentary: Food and Food Waste: Spinning a Two-Sided Coin

Research on food and food waste has been receiving growing attention, and public policy plays an important role in the food marketing system. Although marketing and public policy appears to focus largely on food rather than food waste, concern about the latter is growing due to its environmental and economic impact. Drawing on the accompanying articles, this commentary illuminates three important facets of food-related research.
Polymer-Based Optical Waveguide Triaxial Tactile Sensing for 3-Dimensional Curved Shell

To realize dexterous robotic manipulation and enhance the human-machine interaction, nowadays increasing efforts have been made towards multi-dimensional force sensing. However, there are still bottlenecks in integrating these sensors into robots because of the limitation on conformability to complex surfaces and miniaturization. To overcome the above challenges, we proposed a novel polymer-based waveguide tactile sensing method by embedding elastic optical waveguide channels into a 3D curved shell. By surrounding a soft tactel with four channels, the tactel is capable to measure normal and shear forces. We demonstrated that 3-axis force sensing is achieved on a shell structure with thickness of 2.1 mm. The average gauge factor in detecting the normal force from 0 to 1.1 N is −0.2207 N−1, while the value is −0.1976 N−1 in the shear force sensing from −1 to 1 N. A force resolution of 0.1 mN has been achieved, and the proposed sensor has an average hysteresis of 22.23%. It performs well in dynamic force testing of 10 Hz and reaches average angle error 9.7357° and average amplitude error 0.1555 N between real force and predicted force which is derived by the calibration matrix. The experiment results prove that the proposed sensing method can provide triaxial force sensing on the complex 3D curved surface with good performance.
Connected Bradford: a Whole System Data Linkage Accelerator

The richness of linked population data provides exciting opportunities to understand local health needs, identify and predict those in most need of support and evaluate health interventions. There has been extensive investment to unlock the potential of clinical data for health research in the UK. However, most of the determinants of our health are social, economic, education, environmental, housing, food systems and are influenced by local authorities. The Connected Bradford Whole System Data Linkage Accelerator was set up to link health, education, social care, environmental and other local government data to drive learning health systems, prevention and population health management. Data spanning a period of over forty years has been linked for 800,000 individuals using the pseudonymised NHS number and other data variables. This prospective data collection captures near real time activity. This paper describes the dataset and our Connected Bradford Whole System Data Accelerator Framework that covers public engagement; practitioner and policy integration; legal and ethical approvals; information governance; technicalities of data linkage; data curation and guardianship; data validity and visualisation.
Study of a new pulp helght monitor

The development of a new pulp height monitor is discussed in this paper. The conductivity of pulp,froth and air in the floatation cells are obviously different through the research on the site. According to the principle that the different media have different conductivity, new pulp height monitor has been designed.This monitor consists of multi electrode sensor,sensor circuit and 8031 Single Chip Microco mputer. This monitor can determine the dividing line between the pulp and froth,the depth of froth in the floatation cell. The pulp monitor can be used in the automatic controlling of coal flotation.
Analysis of Anatomical Characteristics for Wood Species Identification of Commercial Plywood in Korea

1) International efforts to prevent illegally logged wood are expanding around the world. The “Legal Wood Trade Promotion System” was enacted in Korea in 2019 to strengthen the legal import and distribution of commercial wood in Korea. Since then, this system has promoted and ensured that the imported wood and wood products are legal with respect to the country of origin, wood species, and harvested area. As verification methods, DNA analysis technology and anatomical analysis using a microscope are mainly used in conjunction. Therefore, in this study, wood species of plywood were identified by analyzing the anatomical characteristics of various wood products for the first time. Douglas fir (Pseudotsuga menziesii (Mirb.) Franco. ) and larch (Larix kaempferi (Lamb.) Carriere) plywoods (7, 9 ply) were obtained from four companies that supply plywood in Korea. After cutting each company's plywood to a size of about 1 cm 3 , the layers from top to bottom were separated into single layers, and three sections were observed using an optical microscope. The results revealed that the plywood was composed of a mixture of softwood and hardwood wood species, pine wood species, poplar wood species, or a mixture of larch and pine wood species. Identification of wood species using microscopy is important and can enable the scientific analysis and verification of various wood products, including plywood, imported from countries where the likelihood of indiscriminate distribution of illegal wood and illegal logging is high.
Logistics-Oriented Production Configuration Using the Example of MRO Service Providers

Providers of maintenance, repair and overhaul (MRO) services for complex capital goods, such as aircraft engines, which are indispensable for the customers to perform their services, are facing increasing market dynamics as well as constantly growing, diversifying customer requirements. The ability to achieve (the required) high logistics performance is greatly determined by a suitable production configuration. From the strategic definition of goals to the design of suitable supply chain structures as well as planning, controlling and monitoring mechanisms, a multitude of interdependent configuration decisions must be made on different organisational levels at various points in time. At the same time, numerous internal and external influencing variables must be taken into account, observed and continuously examined for configuration-relevant changes. If necessary, suitable reconfiguration measures must be initiated. This article presents an approach to production configuration based on logistics modelling. To handle the multitude of effects and interactions they are translated into a framework for efficient and sustainable production configuration. It consists of four successive levels for the initial configuration as well as an additional module for long-term production configuration monitoring. It serves to review pre-existing configurations in the context of reorganisation projects and enables the target-oriented configuration of internal supply chains.
The effect of adding magnesium sulphate as an adjuvant to peribulbar block for glaucoma surgery in morbidly obese patients: A randomized controlled study

ABSTRACT Background This study aimed to evaluate safety and efficacy of magnesium sulphate as an adjuvant to peribulbar block at two different doses (75 and 100 mg) in reducing intraocular pressure (IOP) in obese patients undergoing glaucoma surgery. Methods Forty-six adult patients, American Society of Anesthesiologists status I–III, with body mass index of 30–55 kg/m2 undergoing glaucoma surgery under peribulbar block were enrolled during February, 2021. Patients were randomly assigned into two groups (1:1). Both groups received 4 ml of lidocaine 2%, 4 ml of bupivacaine 0.5%, and 1 ml of hyaluronidase (10IU of hyaluronidase/ml of lidocaine). Magnesium sulphate was added to this mixture either in a dose of 75 mg (group I) or 100 mg (group II). Primary outcomes included onset of globe and lid akinesia and IOP. Secondary outcomes included durations of analgesia and motor block, patients’ and surgeons’ satisfaction, and vital data. Results The mean onsets to globe and lid akinesia were significantly lower in group II compared to group I (2.7 vs. 4.2 min, p < 0.001 and 3.1 vs. 4.2 min, p = 0.001, respectively). After the block, the mean IOP was significantly lower in group II at 1 min (27.2 vs. 32.7 mmHg, p = 0.0034), 3 min (26.5 vs. 32.4 mmHg, p = 0.002) and 5 min (26.2 vs. 32.1 mmHg, p = 0.001). Group II had a significantly longer mean durations of analgesia (3.5 vs. 2 hours, p < 0.001) and recovery of motor block than group I (3.3 vs. 2.3 hours, p < 0.001). No complications were encountered during the surgery. Conclusion Magnesium sulphate at a dose of 100 mg demonstrated higher efficacy while maintaining safety compared to the dose of 75 mg.
Ransomware: Analysing the Impact on Windows Active Directory Domain Services

Ransomware has become an increasingly popular type of malware across the past decade and continues to rise in popularity due to its high profitability. Organisations and enterprises have become prime targets for ransomware as they are more likely to succumb to ransom demands as part of operating expenses to counter the cost incurred from downtime. Despite the prevalence of ransomware as a threat towards organisations, there is very little information outlining how ransomware affects Windows Server environments, and particularly its proprietary domain services such as Active Directory. Hence, we aim to increase the cyber situational awareness of organisations and corporations that utilise these environments. Dynamic analysis was performed using three ransomware variants to uncover how crypto-ransomware affects Windows Server-specific services and processes. Our work outlines the practical investigation undertaken as WannaCry, TeslaCrypt, and Jigsaw were acquired and tested against several domain services. The findings showed that none of the three variants stopped the processes and decidedly left all domain services untouched. However, although the services remained operational, they became uniquely dysfunctional as ransomware encrypted the files pertaining to those services.
EFFECT OF SOCIAL MEDIA ORIENTATION ON MARKETING PERFORMANCE THROUGH VILCHIC BRAND IMAGE

This study aims to determine the influence of Social Media Orientation, Marketing Performance, and Brand Image. This research uses a quantitative descriptive method with Partial Least Square (PLS) Professional analysis tool. The subjects of this research are consumers who use vilchic masks in Jambi and outside the city of Jambi. The sampling technique used is purposive sampling. The number of samples used in this study amounted to 125. The results of this study indicate that social media orientation does not affect the marketing performance of vilchic companies. Social media has a significant impact on brand image, and brand image can affect the marketing performance of vilchic companies. The brand image variable in this study can influence or mediate between the marketing performance variables and the social media orientation, meaning that this research is full mediation. The findings of this study contribute that Brand Image is an essential factor in seeing the sales performance of vilchic companies.
An Improved Deep Network-Based Scene Classification Method for Self-Driving Cars

A self-driving car is a hot research topic in the field of the intelligent transportation system, which can greatly alleviate traffic jams and improve travel efficiency. Scene classification is one of the key technologies of self-driving cars, which can provide the basis for decision-making in self-driving cars. In recent years, deep learning-based solutions have achieved good results in the problem of scene classification. However, some problems should be further studied in the scene classification methods, such as how to deal with the similarities among different categories and the differences among the same category. To deal with these problems, an improved deep network-based scene classification method is proposed in this article. In the proposed method, an improved faster region with convolutional neural network features (RCNN) network is used to extract the features of representative objects in the scene to obtain local features, where a new residual attention block is added to the Faster RCNN network to highlight local semantics related to driving scenarios. In addition, an improved Inception module is used to extract global features, where a mixed Leaky ReLU and ELU function is presented, to reduce the possible redundancy of the convolution kernel and enhance the robustness. Then, the local features and the global features are fused to realize the scene classification. Finally, a private dataset is built from the public datasets for the specialized application of scene classification in the self-driving field, and the proposed method is tested on the proposed dataset. The experimental results show that the accuracy of the proposed method can reach 94.76%, which is higher than the state-of-the-art methods.
Smooth Transferring Control Method of Microgrids Based on Master-Slave Configuration

Master-Slave configuration is a common structure used in micro-grids. In this configuration, only one inverter is the master, while the others are slaves. In grid-connected mode, the master should be synchronous with the grid, and, in island mode, it serves as a reference to the slave inverters. Based on the master-slave concept, a smooth transformation control method is discussed in this paper. A novel phase-locked loop applied to micro-grids is proposed, which can ensure the smooth transformation of the two modes, and it will reduce the transient effects while switching as well as enhance the stability of the system. Finally, the simulation and experimental results are provided to verify the effectiveness and feasibility of the proposed control strategy.
All the Light We Cannot See

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Multi-Objective Optimization-Based High-Pass Spatial Filtering for SSVEP-Based Brain–Computer Interfaces

Many spatial filtering methods have been proposed to enhance the target identification performance for the steady-state visual evoked potential (SSVEP)-based brain–computer interface (BCI). The existing approaches tend to learn spatial filter parameters of a certain target using only the training data from the same stimulus, and they rarely consider the information from other stimuli or the volume conduction problem during the training process. In this article, we propose a novel multi-objective optimization-based high-pass spatial filtering method to improve the SSVEP detection accuracy and robustness. The filters are derived via maximizing the correlation between the training signal and the individual template from the same target whilst minimizing the correlation between the signal from other targets and the template. The optimization will also be subject to the constraint that the sum of filter elements is zero. The evaluation study on two self-collected SSVEP datasets (including 12 and four frequencies, respectively) shows that the proposed method outperformed the compared methods such as canonical correlation analysis (CCA), multiset CCA (MsetCCA), sum of squared correlations (SSCOR), and task-related component analysis (TRCA). The proposed method was also verified on a public 40-class SSVEP benchmark dataset recorded from 35 subjects. The experimental results have demonstrated the effectiveness of the proposed approach for enhancing the SSVEP detection performance.
Mapping active paddy rice area over monsoon asia using time-series Sentinel – 2 images in Google earth engine; a case study over lower gangetic plain

Abstract We proposed a modification of the existing approach for mapping active paddy rice fields in monsoon-dominated areas. In the existing PPPM approach, LSWI higher than EVI at the transplantation stage enables the identification of rice fields. However, it fails to recognize the fields submerged later due to monsoon floods. In the proposed approach (IPPPM), the submerged fields, at the maximum greenness time, were excluded for better estimation. Sentinel–2A/2B time-series images were used for the year 2018 to map paddy rice over the Lower Gangetic Plain (LGP) using Google earth engine (GEE). The overall accuracy (OA) obtained from IPPPM was 85%. Further comparison with the statistical data reveals the IPPPM underestimates (slope (β1) = 0.77) the total reported paddy rice area, though R2 remains close to 0.9. The findings provide a basis for near real-time mapping of active paddy rice areas for addressing the issues of production and food security.
Conceptual model for breaking ripple effect and cycles within supply chain resilience

ABSTRACT Business world has reached a complexity tipping point, increasing the risk of disruption consequences not to remain localised in a single company but to reverberate on the entire Supply Chain. Literature now pays great attention to studying this ripple effect, which can critically undermine resilience of the entire Supply Chain. This work further investigates ripple effect by analysing the presence of cycles among these chain reactions using Fuzzy Cognitive Maps. This methodology allows to link multidimensional and multidisciplinary concepts: by unveiling this information, managers and policymakers are provided with more details about the system behaviour. The research method exemplified uncovers the causal relationships among factors influencing Supply Chain Resilience, providing necessary insight to break or reinforce such connections. A case study of an automotive industry Supply Chain is presented to show the application of the proposed methodology into an operating context: 15 different cycles have been enumerated, explaining how connections among these factors ultimately impact Supply Chain Resilience.
Genetic Diversity and Population Structure of Canarium tramdenum Dai and Yakovl. in Northern Vietnam

Canarium tramdenum occurs naturally in subtropical and tropical regions of Indochina and China. The wood is used for making high quality furniture and the fruit and leaves are used in traditional medicine. However, a lack of information on genetic diversity and population structure has handicapped the genetic conservation and domestication of this high-value species. This study evaluated genetic variation within and among four C. tramdenum populations. Sixty individuals were collected from four natural populations in Vietnam in the provinces of Ninhbinh, Bacgiang, Nghean, and Backan. Genetic diversity and genetic structure were determined using 20 ISSR markers. A total of 192 DNA fragments with sizes ranging from 110 bp to 3,000 bp were detected, of which 154 segments (80.2%) were polymorphic and 38 segments (19.8%) were monomorphic. The ISSR data indicated a moderate degree of genetic diversity for the species (h = 0.252). The four populations were separated into three genetic clusters with low levels of genetic distance between them. AMOVA result showed that most (78%) of the genetic variation was within the populations. The moderate to high genetic diversity of C. tramdenum and the low genetic differentiation among populations suggested that all existing natural populations in the particular regions needed to be preserved to protect the genetic diversity of this species.