Miracle-dz/UniFAR-FTUs huggingface dataset:
Research of extraction of biologically active substances from grape pomace by the subcritical water

The process of extracting biologically active substances from the grape pomace of grape variety Moldova has been studied. The presence of gallic acid and furfural was identified. It is shown that the temperature of the extraction process has the greatest influence on the yield of biologically active substances from grape pomace. The influence of process parameters of extraction (the size of the fraction of dry grape pomace, temperature, pressure, liquid-solid ratio) on the antioxidant activity of the extracts, the yield of dry matter, the total yield of polyphenols, tartaric (wine) compounds, reducing substances is determined. It was established that the use of dry grape pomace of 3 mm fraction ensures the maximum yield of target products. Rational parameters of this process are determined. The maximum yield of dry substances during the SCW extraction of GP is provided by the following process parameters: T=150–160 oC, τ=90 min, P=12 MPa and liquid-solid ratio of 1:10. Rational process parameters of SCW extraction of GP during the extraction of total polyphenols: T=100–110 oC, τ=60 min, P=12 MPa and liquid-solid ratio of 1:10. The extracts obtained with these parameters have a high antioxidant activity – 94.01 %. Rational process parameters of SCW extraction of GP during the extraction of reducing substances: T=150–160 oC, τ=90 min, P=12 MPa and liquid-solid ratio of 1:10. These parameters provide extraction of up to 50 % of reducing substances. The high titrated acidity of the extracts obtained (6.649, 0.1 mol/l NaOH per 1 g of extract, ml) is provided by the extraction of GP with the following process parameters: T=150–160 oC, τ=90 min, P=12 MPa and liquid-solid ratio of 1:5
Fully developed MHD mixed convective flow through a composite system in a vertical channel

Abstract A mixed convective momentum and heat transfer in a composite system, consisting of electrically conducting fluid and saturated porous medium in a vertical channel, have been studied. The flow, subjected to a linearly varying space dependent wall temperature engenders a convection current in the flow domain. The present study accounts for the effects of viscosities, and electrical conductivities of both the regions. The Brinkman model has been used to model the flow through porous region. The novel results of the analysis are: the simulation of external magnetic field (control input) in porous region affects momentum transport in both the regions; the amount of resistivity developed in primary velocity due to application of magnetic field can be experienced in the clear-fluid region by applying nearly 50 percent less magnetic field strength in conjunction with requisite porosity of the saturated porous medium; porous matrix is having higher thermal diffusivity than clear fluid provided bounding surfaces are of the same material.
Binary Maximal Correlation Bounds and Isoperimetric Inequalities via Anti-Concentration

This paper establishes a dimension-independent upper bound on the maximal correlation between Boolean functions of dependent random variables, in terms of the second and third singular values in their spectral decomposition, and the anti-concentration properties of the second singular vectors. This result has notable consequences, among which are: A strengthening of Witsenhausen's lower bound on the probability of disagreement between Boolean functions; a Poincaré inequality for bounded-cardinality functions; and improved lower bounds on the isoperimetric constant of Markov chains.
RE-RLTuner: A topic-based music generation method

Automatic music generation has become a more exciting research topic. However, the existing music generation methods tend to utilize music data inherently and hardly consider music generation from the perspective of music composition theory. Therefore, how to use music theory to guide the automatic generation of music is drawing increasing attention to this area. In this work, we aim to extract music rules from given corpora and then apply them to generate new music of a similar style. We divided the melody into different scales (music segments with different numbers of notes, not set of notes ordered by pitch) based on the music structures and then employed Latent Dirichlet Allocation (LDA) topic model to learn the structural constraints of the provided musical form. The multi-scale fusion of musical features through reinforcement learning (RL) enables the model to consider the music generation from the global scope. Our experimental results show that our model is superior to the baseline model according to objective and subjective rating. The music generated from our model has better consistency in terms of music style, which indicates that the extracted structural features and the multi-scale modeling are promising for music generation of a certain style or topic.
Improve the Performance of LSM-Tree Based Key-Value via Multiple Immutable MemTables

With the advent of the era of big data, key-value storage systems based on LSM-Tree have been widely used. Because of its excellent writing performance, it is favored by data centers. LSM-Tree is divided into two parts, one that SkipList structure located in the memory and the other that level structure resident in the disk. The SkipList structure involves two modules, MemTable and Immutable MemTable, which speed up its read and write performance. However, Immutable MemTable is only single and unchangeable, which will cause the thread to block and affect access efficiency in terms of write-intensive workloads. To solve the issue, we propose multiple Immutable MemTables for rotating storage to improve write performance. Furthermore, due to the increase of memory-resident data in the MemTables, the read rate is also enhanced. Through running the benchmarks of the LevelDB system, In the case of less than 1000,000 key-value items, the read performance can be improved by 15%~65%, and when it comes to less than 10000,000 key-value items, the write performance can be improved by 15%~71%.
Visual Monitoring as a Tool in Industrial Security Engineering. Case Study

Abstract The article presents the use of video monitoring in a production company on the example of municipal thermal power plant. After analyzing the hazards and work inconvenience occurring in the analyzed enterprise, video surveillance zones have been designated with the division into the indoor and outdoor monitoring system. Video surveillance is provided for production, auxiliary and delivery processes. Moreover, video monitoring performs a control function over the occupation health in workstations at risk of explosion or fire. In addition, observation points have been set up in the visual monitoring system, among which the internal ones are served by the dispatcher responsible for the production process, while the external are operated by security guards of the facility.
Outage Analysis and Beamwidth Optimization for Positioning-Assisted Beamforming

Beamforming based on channel estimation can be computationally intensive and inaccurate when the antenna array is large, while positioning information can reduce the complexity. In this work, we study the outage probability of positioning-assisted beamforming systems. Closed-form outage probability bounds are derived by considering positioning error, link distance and beamwidth. Based on the analytical result, we show that the beamwidth should be optimized with respect to the link distance and the transmit power, and such optimization significantly suppresses the outage probability.
Patterns of atopic eczema disease activity from birth through mid-adulthood in two British birth cohorts

Importance Atopic eczema is characterized by a heterogenous waxing and waning course, with variable age of onset and persistence of symptoms. Distinct patterns of disease activity such as early-onset/resolving and persistent disease have been identified throughout childhood; little is known about patterns into adulthood. Objectives To identify subtypes of atopic eczema based on patterns of disease activity through mid-adulthood, to examine whether early life risk factors and participant characteristics predict these subtypes, and to determine whether subtypes are associated with other atopic diseases and general health in mid-adulthood. Design Two population-based birth cohort studies. Setting United Kingdom, 1958-2016. Participants Members of the 1958 National Childhood Development Study (NCDS) and the 1970 British Cohort Study (BCS70). Main outcomes and measures Subtypes of atopic eczema patterns were identified based on self-reported atopic eczema period prevalence at multiple occasions. These subtypes were the outcome in models of early life characteristics and an exposure variable in models of mid-life health. Results Latent class analysis identified four subtypes with distinct patterns of disease activity among 15,939 individuals from the NCDS and 14,966 individuals from the BCS70: ‘rare/no’ atopic eczema (88-91%), ‘decreasing’ (4%), ‘increasing’ (2-6%), and persistently ‘high’ (2-3%) probability of reporting prevalent atopic eczema with age. Early life factors, including sex at birth, social class, region of residence, tobacco smoke exposure, and breastfeeding, predicted differences between the three atopic eczema subtypes and the infrequent/no atopic eczema group, but only female sex differentiated the high and decreasing probability subtypes. Individuals in the high subtype were most likely to experience asthma and rhinitis, and those in the increasing subtype were at higher risk of poor self-reported general (OR 1.29, 95%CI 1.09 to 1.53) and mental (OR 1.45, 95%CI 1.23 to 1.72) health in mid-life. Conclusions and Relevance Extending the window of observation beyond childhood, we observed clear subtypes of atopic eczema based on patterns of disease activity. A newly identified subtype with increasing probability of activity in adulthood warrants additional attention given observed associations with poor self-reported health in mid-life.
The Evolution of Industrial Structure for Marine Economic Growth in China: An Empirical Study on the Effects of Rationalization and Optimization

ABSTRACT Yu, H. ; Sun, H. , and Chen, M. , 2021. The evolution of industrial structure for marine economic growth in China: An empirical study on the effects of rationalization and optimization. Journal of Coastal Research, 37(5), 1042–1052. Coconut Creek (Florida), ISSN 0749-0208. Against the background of China's new normal economy, the adjustment of the marine industrial structure is still a key issue, but current research on the relationship between the marine industrial structure and marine economic growth has not reached a consistent conclusion. This paper measures the structure of the marine industry with two indicators of the rationalization and optimization of the industrial structure and constructs a fixed effects model to explore the effects of the marine industrial structure on marine economic growth and the mechanism using panel data of China's coastal provinces, cities, and districts from 1997 to 2016. The results show the following. (1) In the study period, the rationalization of the marine industrial structure promoted marine economic growth, whereas the optimization of the marine industrial structure restrained marine economic growth. (2) The mediation test shows that the rationalization of the marine industrial structure promotes the growth of the marine economy by improving the labor productivity of the marine industry, whereas the optimization of the marine industrial structure restrains the growth of the marine economy by curbing the productivity of the marine service industry. (3) After adding the moderator of government intervention into the model, it is found that the higher the degree of government intervention is, the more significant the promoting effect of the rationalization of the marine industrial structure on marine economic growth, and the negative effect of the optimization of the marine industrial structure on marine economic growth is significantly reduced.
Geometry-based symbol spotting in born-digital architectural floor plans

Abstract. We describe a method for symbol spotting in born-digital architectural floor plans, which are a particularly challenging application domain of graphics recognition. We propose a hybrid method that capitalizes on strengths of both vector-based and pixel-based symbol spotting techniques. In the description phase, the salient geometric constituents of a symbol are extracted by a variety of vectorization techniques, including a proposed voting-based algorithm for finding partial ellipses. This enables us to better handle local shape irregularities and boundary discontinuities, as well as partial occlusion and overlap. In the matching phase, the spatial relationship between the geometric primitives is encoded via a primitive-aware proximity graph. A statistical approach is then used to rapidly yield a coarse localization of symbols within the plan. Localization is further refined with a pixel-based step implementing a modified cross-correlation function. Experimental results on the public SESYD synthetic dataset demonstrate that our approach clearly outperforms other popular symbol spotting approaches. Moreover, our approach yields promising results on real-world images, which are significantly more challenging in terms of overlap, occlusion, and presence of non-symbolic graphical data.
Development of patient-derived tumor organoids and a drug testing model for renal cell carcinoma

The selection of effective therapeutic agents is critical for improving the survival of patients with renal cell carcinoma (RCC). The aim of the present study was to develop an ex vivo drug testing assay using patient-derived tumor organoid (TO) cultures. For this purpose, surgical tumor specimens were obtained from 20 patients with RCC. TOs were developed ex vivo from freshly resected RCC tumors, and their histopathological and molecular characteristics were evaluated using histological staining and whole-exome sequencing (WES). Using a cell viability assay, the therapeutic efficacy of standard of care tyrosine kinase inhibitors in RCC TOs was determined. It was found that TOs recapitulated the histological features of primary RCC tumors. Using WES, a strong concordance was identified at the genetic level between the primary tumors and their corresponding TOs. Using patient-derived TO models, a prototype of an ex vivo drug testing assay was developed, and it was found that RCC TOs exhibited differential responses to sunitinib, pazopanib, cabozantinib, axitinib and sorafenib treatment. On the whole, although the predictive value of the current assay has to be tested and validated in future clinical studies, the findings of the present study demonstrate a novel approach for ex vivo drug testing in patient-derived TO models, which may have potential for use in the personalized treatment of cancer patients.
Screening of Lentil (Lens culinaris Medik.) Genotypes and Correlation Analysis under PEG Imposed Water Stress Condition

The present experiment was carried out at the Department of Genetics and Plant Breeding, Bidhan Chandra Krishi Viswavidyalaya, West Bengal, India to screen lentil (Lens culinaris Medik.) genotypes for drought tolerance at seedling stage and to study the correlation among the seedling traits. For this purpose forty eight genotypes of lentil collected from AICRP on MULLaRP, Kalyani centre, Bidhan Chandra Krishi Viswavidyalaya, Nadia were evaluated for drought tolerance at seedling stage following slant glass plate method under pre-standardized -9.0 bar external water potential imposed by polyethylene glycol (MW-6000) against control (0.0 bar). The experiment was laid out in an asymmetrical factorial completely randomized design with three replications. Data from six randomly selected competitive seedlings on eleven growth parameters viz., root length (cm), shoot length (cm), total length (cm), root fresh weight (mg), shoot fresh weight (mg), leaf fresh weight (mg), total fresh weight (mg), root dry weight (mg), shoot dry weight (mg), leaf dry weight (mg) and total dry weight (mg) were recorded from ten days old seedlings from both control and treatment plate through destructive sampling. All the forty eight genotypes showed variable relative reduction % for all root and shoot traits under polyethylene glycol imposed water stress. Basing on drought tolerance efficiency, relative reduction % and the seedling growth parameters the genotypes were categorized as susceptible and tolerant to drought stress. Among the forty-eight genotypes, PL-406 (94.667%) exhibited the highest drought tolerance efficiency while L1112-20 (65.269%) exhibited the lowest drought tolerance efficiency. Correlation analysis revealed that, total dry weight attained a strong positive significant association with root dry weight followed by total fresh weight. All the traits except root length and total length attained significant positive correlation with total dry weight. Total fresh weight exhibited a higher direct effect on total dry weight which is the measure of drought tolerance at seedling stage.
A reconciliation approach to key generation based on Module-LWE

We consider a key encapsulation mechanism (KEM) based on Module-LWE where reconciliation is performed on the 8-dimensional lattice $E_{8}$, which admits a fast CVP algorithm. Our scheme generates 256 bits of key and requires 3 or 4 bits of reconciliation per dimension. We show that it can outperform Kyber in terms of the modulus $q$ with comparable error probability and similar requirements in terms of bandwidth. We prove that our protocol is IND-CPA secure and improves the security level of Kyber by 7.3%.
Application of Selected Reverse Engineering Procedures Based on Specific Requirements

Abstract The paper describes a solution of reverse engineering tasks using the equipment of the laboratory of the Technical University in Zvolen. The first task was linked to evaluation of a wear rate of the tool used to for mulching and elimination of unwanted wood or weed vegetation. The obtained data will be used as a base line for determination of the time interval for the tool replacement. We developed a prototype of components and their drawing documentation for a single-purpose machine for cutting barley. We created the 3D model using the method of photogrammetry. The finished drawing documentation and prototypes were handed over to the company KRUP. Finally, we identified the most suitable procedures for creating a model of a part with a complex shape. We tested the techniques of editing the point cloud processing, as well as of smoothing the surfaces and automating the creation of partial geometric elements of the model. Based on the properties of the component, which is the starting point of the entire reverse engineering process and from the achieved results, we set recommendations for the selection of appropriate procedures.
A learning-based approach to automatically evaluate the quality of sequential color schemes for maps

ABSTRACT Color quality evaluation is key to judging map quality, which can improve data visualization and communication. However, most existing methods for evaluating map colors are tedious and subjective manual methods. In this paper, we study sequential color schemes, a widely used map color type and propose a learning-based approach for evaluating the color quality. The approach consists of two steps. First, we extract and characterize the cartographic factors for determining the quality of sequential color schemes, such as color order, color match, color harmony, color discrimination and color uniformity. Second, we present a model to predict the color quality based on AdaBoost, a type of ensemble learning algorithm with excellent classification performance and use these factors as input data. We conduct a case study based on 781 samples and train the AdaBoost-based model to predict the quality of sequential color schemes. To evaluate the model’s performance, we calculated the area under the receiver operating characteristic (ROC) curve (AUC). The AUC values are 0.983 and 0.977 on the training data and testing data, respectively. These results indicate that the proposed approach can be used to automatically evaluate the quality of sequential color schemes for maps, which helps mapmakers select good colors.
E2VTS: Energy-Efficient Video Text Spotting from Unmanned Aerial Vehicles

Unmanned Aerial Vehicles (UAVs) based video text spot-ting has been extensively used in civil and military domains. UAV’s limited battery capacity motivates us to develop an energy-efficient video text spotting solution. In this paper, we first revisit RCNN’s crop & resize training strategy and empirically find that it outperforms aligned RoI sampling on a real-world video text dataset captured by UAV. To re-duce energy consumption, we further propose a multi-stage image processor that takes videos’ redundancy, continuity, and mixed degradation into account. The model is pruned and quantized before deployed on Raspberry Pi. Our pro-posed energy-efficient video text spotting solution, dubbed as E2V T S, outperforms all previous methods by achieving a competitive tradeoff between energy efficiency and performance. All our codes and pre-trained models are available at https://github.com/wuzhenyusjtu/LPCVC20-VideoTextSpotting.
The B chromosome of Pseudococcus viburni: a selfish chromosome that exploits whole-genome meiotic drive

Meiosis, the key process underlying sexual reproduction, is generally a fair process: each chromosome has a 50% chance of being included into each gamete. However in some organisms meiosis has become highly aberrant with some chromosomes having a higher chance of making it into gametes than others. Yet why and how such systems evolve remains unclear. Here we study the unusual reproductive genetics of mealybugs, in which only maternal-origin chromosomes are included into the gametes during male meiosis, while paternally-derived chromosomes degrade. This “whole genome meiotic drive” occurs in all males and is evolutionarily conserved. However one species - the obscure mealybug Pseudococcus viburni - has a segregating B chromosome that increases in frequency by escaping paternal genome elimination. Here we present whole-genome and gene expression data from laboratory lines with and without B chromosomes. These data allow us to identify B-linked sequences including >70 protein-coding genes as well as a B-specific satellite repeat that makes up a significant proportion of the chromosome. We also used these data to investigate the evolutionary origin of the B chromosome. The few paralogs between the B and the core genome are distributed throughout the genome, showing that it is unlikely that the B originated through a simple duplication of one of the autosomes. We also find that while many of the B-linked genes do not have paralogs within the P.viburni genome, but they do show orthology with genes in other hemipteran insects suggesting that the B might have originated from fission of one of the autosomes, possibly followed by further translocations of individual genes. Finally in order to understand the mechanisms by which the B is able to escape elimination when paternally-derived we generated gene expression data for males and females with and without B chromosomes. We find that at the developmental stage when meiosis is taking place only a small number of B-linked genes show significant expression. Only one gene was significantly over-expressed during male meiosis, which is when the drive occurs: a acetyltransferase involved in H3K56Ac, which has a putative role in meiosis and is therefore a promising candidate for further studies. Together, these results form a promising foundation for studying the mechanisms of meiotic drive in a system that is uniquely suited for this approach.