Miracle-dz/UniFAR-FTUs huggingface dataset:
Blockchain Privacy Data Access Control Method Based on Cloud Platform Data

With the improvement of digital informatization and openness of the smart grid, the security of all kinds of sensitive and private data in the power grid is inevitably facing severe threats and challenges. In this paper, we propose a privacy protection scheme for multidimensional data aggregation and access control in the cloud Internet of Things for smart grid. The scalable access control based on attribute encryption is used to determine the data security of power user data in the process of data information sharing in the blockchain under the large data traffic of the cloud platform, which is to achieve privacy protection and fine-grained access control for demand-side multidimensional data. By using the EBGN homomorphic encryption algorithm, the multidimensional data is encrypted, and each dimension can be decrypted separately using the corresponding private key. The multidimensional data aggregation at the gateway can aggregate the multidimensional data into cipher-text, and the control center does not need to decrypt the cipher-text data of each dimension, thereby simplifying the operation of the gateway and the control center and improving the security and privacy of the data. By encrypting the EBGN private key of each dimension through the cipher-text policy attribute encryption algorithm, the finegrained access control at the dimension level is realized. The experimental results show that the proposed method can effectively improve the security of private data in the aspect of multidimensional data privacy protection, thus reducing the security risk of multidimensional data being illegally accessed. The research in this paper can effectively reduce the communication overhead and computational complexity, reduce the computational cost, and is suitable for data security and privacy protection of smart grid cloud Internet of Things. Keywords—Cloud platform; blockchain; private data; data encryption; access control
Fructose-Induced Cognitive Impairment Co-occurs with Morphological Changes in Dendrites and Microglia of Male Rats

Fructose consumption in adolescents is accompanied by increased incidence of childhood diabetes, metabolic disorder, and obesity that can last into adulthood. Adult male rats that consumed a high fructose diet (HFD) in adolescence have dysregulated emotional processing and upregulated gene expression of neuroinﬂammatory markers, yet downstream consequences on cognitive function in both sexes remain unknown. The current study aimed to determine the extent to which a HFD altered neural and microglial structure and function that may contribute to cognitive changes in males and females. Wistar rats were fed either chow or a HFD (55% fructose) beginning on postnatal day (PND) 23 and for the duration of the study. As adults, fructose-fed males, but not females, displayed impaired cognitive ﬂexibility on the Barnes maze task and had more reactive microglia and altered neuronal morphology throughout the dentate gyrus (DG) and CA3 regions of the hippocampus. These ﬁndings suggest that, in males, a HFD activates microglia which may contribute to functional deﬁcits, possibly through altering dendritic structure making them disproportionally vulnerable to fructose
Asymptomatic Left Ventricular Hypertrophy Is a Potent Risk Factor for the Development of HFpEF but Not HFrEF: Results of a Retrospective Cohort Study

(1) Background: The structural and functional features of the natural history of asymptomatic hypertensive left ventricular hypertrophy (LVH) are not clearly defined. (2) Objective: To determine structural and functional changes in asymptomatic hypertensive LVH, as well as the incidence and predictors of the transition to different phenotypes of heart failure (HF) after a long-term follow-up. (3) Methods: Based on the assessment of chart reviews, we retrospectively selected 350 asymptomatic patients with hypertensive concentric LVH and LV ejection fraction (EF) ≥ 50%. After a median follow-up of 8.1 years, 223 patients had a re-assessment. The final diagnosis (HF with reduced EF [HFrEF], or HF with preserved EF [HFpEF]) was established according to current recommendations. (4) Results: After a follow-up, only 13% of patients remained asymptomatic, 72% developed HFpEF, and 15% developed HFrEF. The transition to HFpEF was associated with an increase in LV diastolic dysfunction grade in 62% of patients. Multivariable analysis identified age, duration of hypertension, interval changes in LV mass, and a lack of statin treatment as independent predictors of HFpEF. Among 34 patients who developed HFrEF, 16 patients (7% of the whole group) had no interval myocardial infarction, corresponding to an internal mechanism of systolic dysfunction. All these 16 patients had mild systolic dysfunction (LVEF > 40%). Baseline LVEF and LV end-diastolic dimension, and interval atrial fibrillation were identified as predictors of internal HFrEF. (5) Conclusions: The majority of patients with asymptomatic LVH developed HFpEF after long-term follow-up, which was associated with the deterioration of LV diastolic dysfunction and a lack of statin treatment. In contrast, the transition to HFrEF was infrequent and characterized by mild LV systolic dysfunction.
Dietary Glutamine Supplementation Alleviated Inflammation Responses and Improved Intestinal Mucosa Barrier of LPS-Challenged Broilers

Simple Summary In commercial intense industry, birds have to undergo a series of physical, social and microbial stress. LPS, a structural substance of gram-negative bacterial membrane and an effective immune stimulator for human and animal immune system, can impair growth performance, elevate the production of inflammatory cytokines and destroy the morphology of broilers’ small intestine. Moreover, LPS challenge also can reduce the expression levels of tight junction proteins and ruin the integrity of mucosal barrier of broilers. However, glutamine is considered to be conditionally essential for gut homeostasis and barrier function and maybe a useful strategy to attenuate immunological stress and improve intestine function in response to stressful conditions. Our study showed that 1% Gln supplementation improved the growth performance, alleviated the inflammatory responses and ameliorated the intestinal permeability and the integrity of intestinal mucosa barrier of LPS-challenged broilers. Abstract The present study was conducted to investigate the effects of glutamine (Gln) supplementation on intestinal inflammatory reaction and mucosa barrier of broilers administrated with lipopolysaccharide (LPS) stimuli. A total of 120 1-d-old male broilers were randomly divided into four treatments in a 2 × 2 experimental arrangement, containing immune challenge (injected with LPS in a dose of 0 or 500 μg/kg of body weight) and dietary treatments (supplemented with 1.22% alanine or 1% Gln). The results showed that growth performance of broilers intra-abdominally injected with LPS was impaired, and Gln administration alleviated the adverse effects on growth performance induced by LPS challenge. Furthermore, Gln supplementation reduced the increased concentration of circulating tumor necrosis factor-α, interleukin-6 and interleukin-1β induced by LPS challenge. Meanwhile, D-lactic acid and diamine oxidase concentration in plasma were also decreased by Gln supplementation. In addition, the shorter villus height, deeper crypt depth and the lower ratio of villus height to crypt depth of duodenum, jejunum and ileum induced by LPS stimulation were reversed by Gln supplementation. Gln administration beneficially increased LPS-induced reduction in the expression of intestine tight junction proteins such as zonula occludens protein 1 (ZO-1), claudin-1 and occludin except for the ZO-1 in duodenum and occludin in ileum. Moreover, Gln supplementation downregulated the mRNA expression of toll-like receptor 4, focal adhesion kinase, myeloid differentiation factor 88 and IL-1R-associated kinase 4 in TLR4/FAK/MyD88 signaling pathway. Therefore, it can be concluded that Gln administration could attenuate LPS-induced inflammatory responses and improve intestinal barrier damage of LPS-challenged broilers.
Building Footprint Extraction in Dense Area from LiDAR Data using Mask R-CNN

Building footprint extraction is an essential process for various geospatial applications. The city management is entrusted with eliminating slums, which are increasing in rural areas. Compared with more traditional methods, several recent research investigations have revealed that creating footprints in dense areas is challenging and has a limited supply. Deep learning algorithms provide a significant improvement in the accuracy of the automated building footprint extraction using remote sensing data. The mask R-CNN object detection framework used to effectively extract building in dense areas sometimes fails to provide an adequate building boundary result due to urban edge intersections and unstructured buildings. Thus, we introduced a modified workflow to train ensemble of the mask R-CNN using two backbones ResNet (34, 101). Furthermore, the results were stacked to fine-grain the structure of building boundaries. The proposed workflow includes data preprocessing and deep learning, for instance, segmentation was introduced and applied to a light detecting and ranging (LiDAR) point cloud in a dense rural area. The outperformance of the proposed method produced better-regularized polygons that obtained results with an overall accuracy of 94.63%. Keywords—Deep learning; object detection; mask R-CNN; point cloud; light detecting and ranging (LiDAR)
Circularly polarized on chip dielectric resonator antenna at 60 GHz

This paper presents incorporating a metasurface to convert linear polarization to circular polarization at 60 GHz. The proposed antenna design, namely, a linear polarized DRA, is employed as original antennas for producing LP signals. According to simulation results, metasurface is capable of converting an LP signal produced at the original antenna into a CP signal, while improving the polarization bandwidth with gain. The proposed DR antenna exhibits a return loss bandwidth, axial ratio bandwidth, efficiency, and gain of 3.55%, 1.2 %, 95% and 8.6 dBi, respectively.
Improved Maximin Guarantees for Subadditive and Fractionally Subadditive Fair Allocation Problem

In this work, we study the maximin share fairness notion for allocation of indivisible goods in the subadditive and fractionally subadditive settings. While previous work refutes the possibility of obtaining an allocation which is better than 1/2-MMS, the only positive result for the subadditive setting states that when the number of items is equal to m, there always exists an Ω(1/log m)-\MMS allocation. Since the number of items may be larger than the number of agents (n), such a bound can only imply a weak bound of Ω(1/(n log n))-MMS allocation in general. In this work, we improve this gap exponentially to an Ω(1/(log n log log n))-MMS guarantee. In addition to this, we prove that when the valuation functions are fractionally subadditive, a 1/4.6-MMS allocation is guaranteed to exist. This also improves upon the previous bound of 1/5-MMS guarantee for the fractionally subadditive setting.
ApproxASP - a Scalable Approximate Answer Set Counter

Answer Set Programming (ASP) is a framework in artificial intelligence and knowledge representation for declarative modeling and problem solving. Modern ASP solvers focus on the computation or enumeration of answer sets. However, a variety of probabilistic applications in reasoning or logic programming require counting answer sets. While counting can be done by enumeration, simple enumeration becomes immediately infeasible if the number of solutions is high. On the other hand, approaches to exact counting are of high worst-case complexity. In fact, in propositional model counting, exact counting becomes impractical. In this work, we present a scalable approach to approximate counting for answer set programming. Our approach is based on systematically adding XOR constraints to ASP programs, which divide the search space. We prove that adding random XOR constraints partitions the answer sets of an ASP program. In practice, we use a Gaussian elimination-based approach by lifting ideas from SAT to ASP and integrating it into a state of the art ASP solver, which we call ApproxASP. Finally, our experimental evaluation shows the scalability of our approach over the existing ASP systems.
Two faces of grit–perseverance: Is it always good to exert grit?

ABSTRACT The present study examined the benefits and costs of grit–perseverance by manipulating the solvability of Sudoku puzzles. Grit–perseverance is one of the two factors of grit, which we propose can be measured in terms of time spent on a challenging problem. We examined the effect of grit–perseverance on the performance of the final puzzle administered after the practice set. We hypothesised that (i) exerting grit–perseverance when solving a difficult puzzle would improve participants’ ability to solve the final difficult puzzle due to practice, while (ii) sticking to an unsolvable puzzle would result in a lower performance on the final easy puzzle. The results supported our hypotheses. While grit exertion had a positive influence on solving a difficult problem, it had a negative influence when participants encountered an unsolvable problem. These results suggest that grit is not always beneficial and can hinder enhancing problem-solving skills.
Highly underexpanded helium jet and its effect on dust resuspension under in-vessel loss of coolant accident of fusion reactor

During an in-vessel loss of coolant accident (LOCA) of a helium-cooled blanket in a fusion reactor, the high-pressure helium gas ingress into the vacuum vessel (VV) will produce highly underexpanded jet, resulting in the resuspension and migration of the radioactive dust deposited in the VV. In this study, the flow field in the VV and the influence of friction velocity were simulated and analyzed by using ANSYS Fluent code. In addition, the differences between in-vessel LOCA and loss of vacuum accident (LOVA) were compared. The results showed that the pressure of the VV reaches the pressure relief limit of the VV pressure suppression system rapidly after a LOCA. With the development of a LOCA, the Mach disk continued to move towards the equatorial break of the VV, its shape continued to shrink and the number of structures gradually increased. Compared with the LOVA, the LOCA had a higher friction velocity, resulting in a greater probability of dust resuspension and radioactive risk.
Leading Agricultural Subsectors in South Sumatra Province Before and During The COVID-19 Pandemic

The COVID-19 pandemic that started in Wuhan, China, in December 2019 has resulted a very fatal health problems in global history, including for the State of Indonesia, which was confirmed that the first case of COVID-19 appeared on March 2, 2020. The COVID-19 pandemic not only having an impact on the health sector, the economy, international trade, industry but also having a negative impact on the agricultural sector, so that the production and productivity of the agricultural sector during the COVID-19 pandemic experienced a significant decline. So it is necessary to conduct more in-depth research to find out how much impact the COVID-19 pandemic has on leading agricultural sub-sectors in South Sumatra Province. This study aims to determine the leading agricultural sub-sector before and during the COVID-19 pandemic in South Sumatra Province. This study uses secondary data in 2010-2021. The analysis applied in this study is the analysis of Location Quotient (LQ), Dynamic Location Quotient (DLQ), and a combination of analysis of Location Quotient (LQ) and Dynamic Location Quotient (DLQ). The plantation crops sub-sector and the forestry sub-sector are the base sectors. The food crops sub-sector, horticultural crop sub-sector, livestock sub-sector, and forestry sub-sector have a faster growth rate when compared to the same sub-sector at the national level. Only the forestry sub-sector is included in the classification of the leading sub-sector.
Enhancement of Mitochondrial Function by the Neurogenic Molecule NSI-189 Accompanies Reversal of Peripheral Neuropathy and Memory Impairment in a Rat Model of Type 2 Diabetes

Aims Mitochondrial dysfunction contributes to many forms of peripheral and central nervous system degeneration. Therapies that protect mitochondrial number and function have the potential to impact the progression of conditions such as diabetic neuropathy. We therefore assessed indices of mitochondrial function in dorsal root ganglia (DRG) and brain cortex of the Zucker diabetic fatty (ZDF) rat model of type 2 diabetes and tested the therapeutic impact of a neurogenic compound, NSI-189, on both mitochondrial function and indices of peripheral and central neurological dysfunction. Materials and Methods ZDF rats were maintained for 16 weeks of untreated diabetes before the start of oral treatment with NSI-189 for an additional 16 weeks. Nerve conduction velocity, sensitivity to tactile and thermal stimuli, and behavioral assays of cognitive function were assessed monthly. AMP-activated protein kinase (AMPK) phosphorylation, mitochondrial protein levels, and respiratory complex activities were assessed in the DRG and brain cortex after 16 weeks of treatment with NSI-189. Results Treatment with NSI-189 selectively elevated the expression of protein subunits of complexes III and V and activities of respiratory complexes I and IV in the brain cortex, and this was accompanied by amelioration of impaired memory function and plasticity. In the sensory ganglia of ZDF rats, loss of AMPK activity was ameliorated by NSI-189, and this was accompanied by reversal of multiple indices of peripheral neuropathy. Conclusions Efficacy of NSI-189 against dysfunction of the CNS and PNS function in type 2 diabetic rats was accompanied by improvement of mitochondrial function. NSI-189 exhibited actions at different levels of mitochondrial regulation in central and peripheral tissues.
THE QUALITY OF ENVIRONMENTAL PERFORMANCE ASSESSED FROM GREEN ACCOUNTING IMPLEMENTATIONS IN COMPANIES IN INDONESIA

This study is dedicated to making a description of the quality of environmental performance in terms of the implementation of green accounting in companies in Indonesia. Sources of data used in this study are data from scientific papers related to research problems as well as from previous research. This study uses an analytical method in the form of a literature review with the help of the MAXQDA 2020 software. The results of this study prove that companies that implement and report their environmental performance or green performance in environmental reporting or green accounting in Indonesia have an influence on the company's image in the eyes of company stakeholders. Companies that report clearly and correctly their environmental performance can make users of this information aware of the company's economic and environmental performance. This information, if published, will provide various benefits in accordance with the explanation in this study, namely the quality of environmental performance in terms of the implementation of green accounting in companies in Indonesia. Most companies in Indonesia only fulfill one indicator of the implementation of green accounting, namely the presentation of costs associated with corporate waste management in the financial statements so that the company's environmental performance can only be seen through the projected numbers in the overall accounting concept. The quality of environmental performance reporting or green performance in environmental reporting or green accounting by companies in Indonesia is still not good enough, seen from the lack of environmental performance reporting by certain companies. Companies that record their environmental performance and publish these reports properly and correctly tend to have a positive image in the eyes of stakeholders.reporting by certain companies. Companies that record their environmental performance and publish these reports properly and correctly tend to have a positive image in the eyes of stakeholders.
Local image fitting based active contour loss with deep learning for nuclei segmentation

This paper proposes an approach for segmentation of nuclei images based on deep learning. In particular, the recent TransUnet inspired from transformers’ strong ability in modeling long-range context, is employed and adapted for the nuclei segmentation. For training the neural network, we propose a new loss inspired from active contour models with the guide of local image fitting. The loss when applied for the TransUnet has shown promising results over common Dice and Binary Cross Entropy loss functions. Our approach has been validated on the Data Science Bowl 2018 dataset, which includes 670 data folders for training model and 65 data folders for testing. State of the art models, such as FCN, SegNet, Unet, and DoubleU-Net are also conducted and evaluated. Quantitative assessments with high Dice similarity coefficient and Intersection over Union metrics demonstrate the performances of the proposed approach for nuclei segmentation.
MMT, Sovereign Currencies and the Eurozone

ABSTRACT This paper is an answer to the question: What is new, what is good and what is relevant for Eurozone countries in Modern Monetary Theory (MMT)? The answer is organized under six questions: (1) What is MMT? (2) What is the definition of a sovereign currency — an important concept for MMT authors? (3) Does the institutional setup play any role in assessing monetary sovereignty? (4) Is the euro a foreign currency for eurozone countries, that is, are eurozone countries currency users or currency issuers? (5) Why could there be a eurozone financial crisis and was it a balance-of-payment crisis, as a number of authors have claimed? (6) And as a conclusion, what is the future of the Eurozone? It is argued that MMT is part of the Institutionalist branch of post-Keynesian economics; that the current definition of a sovereign currency is insufficient; that the Eurozone crisis arose from the combination of Maastricht-like rules and the convention that the European Central Bank would not act as a purchaser of last resort; and that this crisis can only be taken to be a balance-of-payment crisis when considering that bond investors thought some countries would leave the Eurozone and face currency depreciation.
Identification and characterization of altered mitochondrial protein acetylation in Friedreich's Ataxia cardiomyopathy

Gregory Randall Wagner IDENTIFICATION AND CHARACTERIZATION OF ALTERED MITOCHONDRIAL PROTEIN ACETYLATION IN FRIEDREICH’S ATAXIA CARDIOMYOPATHY Friedreich’s Ataxia (FRDA) is a rare and poorly understood autosomal recessive disease caused by a pathological deficiency of the mitochondrial protein frataxin. Patients suffer neurodegeneration, ataxia, diabetes, and heart failure. In an effort to understand the mechanisms of heart failure in FRDA, we investigated the role of the protein modification acetylation, which is highly abundant on mitochondrial proteins and has been implicated in regulating intermediary metabolism. Using mouse models of FRDA, we found that cardiac frataxin deficiency causes progressive hyperacetylation of mitochondrial proteins which is correlated with loss of respiratory chain subunits and an altered mitochondrial redox state. Mitochondrial protein hyperacetylation could be reversed by the mitochondria-localized deacetylase SIRT3 in vitro, suggesting a defect in endogenous SIRT3 activity. Consistently, frataxin-deficient cardiac mitochondria showed significantly decreased rates of fatty acid oxidation and complete oxidation to carbon dioxide. However, the degree of protein hyperacetylation in FRDA could not be fully explained by SIRT3 loss. Our data suggested that intermediary metabolites and perhaps acetyl-CoA, which is