Miracle-dz/UniFAR-FTUs huggingface dataset:
Performance Analysis of Blockchain Platforms

Blockchain technologies have drawn massive attention to the world these past few years mostly because of the burst of cryptocurrencies like Bitcoin, Etherium, Ripple and many others. A Blockchain, also known as distributed ledger technology, has demonstrated huge potential in saving time and costs. This open-source technology which generates a decentralized public ledger of transactions is widely appreciated for ensuring a high level of privacy through encryption and thus sharing the transaction details only amongst the participants involved in the transactions. The Blockchain is used not only for cryptocurrency but also by various companies to meet their business ends, such as efficient management of supply chains and logistics. The rise and fall of numerous crypto-currencies based on blockchain technology have generated debate among tech-giants and regulatory bodies. There are various groups which are working on standardizing the blockchain technology. At the same time, numerous groups are actively working, developing and fine-tuning their own blockchain platforms. Platforms such as etherium, hyperledger, parity, etc. have their own pros and cons. This research is focused on the performance analysis of blockchain platforms which gives a comparative understanding of these platforms.
Studies of energy exchange between the air and the sea surface on the coastal area of the Gulf of Finland

Sisaltaa myos seuraavat artikkelit: S. A. Kitaigorodskii and Pentti Malkki: Note on the parametrization of turbulent gas transfer across an air-water interface Kristiina Simola, Timo Jaakkola, Jorma K. Miettinen, Lauri Niemisto and Aarno Voipio: Vertical distribution of fallout plutonium in some sediment cores from the Baltic Sea Pentti Vaatanen: A device for aseptic collection of large samples from surface water Torsten Sjolund and K. J. Purasjoki: A new mechanism for the van Veen grab Sven Ankar, Ann-Britt Andersin, Julius Lassig, Lars Norling and Henrik Sandler: Methods for studying benthic macrofauna. an intercalibration between two laboratories in the Baltic Sea Eugenie Lisitzin: The Institute of Marine Research in Finland 1919-1968
Topological Data Analysis in Cardiovascular Signals: An Overview

Topological data analysis (TDA) is a recent approach for analyzing and interpreting complex data sets based on ideas a branch of mathematics called algebraic topology. TDA has proven useful to disentangle non-trivial data structures in a broad range of data analytics problems including the study of cardiovascular signals. Here, we aim to provide an overview of the application of TDA to cardiovascular signals and its potential to enhance the understanding of cardiovascular diseases and their treatment in the form of a literature or narrative review. We first introduce the concept of TDA and its key techniques, including persistent homology, Mapper, and multidimensional scaling. We then discuss the use of TDA in analyzing various cardiovascular signals, including electrocardiography, photoplethysmography, and arterial stiffness. We also discuss the potential of TDA to improve the diagnosis and prognosis of cardiovascular diseases, as well as its limitations and challenges. Finally, we outline future directions for the use of TDA in cardiovascular signal analysis and its potential impact on clinical practice. Overall, TDA shows great promise as a powerful tool for the analysis of complex cardiovascular signals and may offer significant insights into the understanding and management of cardiovascular diseases.
Phenotyping, genetics, and “-omics” approaches to unravel and introgress enhanced resistance against apple scab (Venturia inaequalis) in apple cultivars (Malus × domestica)

Abstract Apple scab disease, caused by the fungus Venturia inaequalis, endangers commercial apple production globally. It is predominantly managed by frequent fungicide sprays that can harm the environment and promote the development of fungicide-resistant strains. Cultivation of scab-resistant cultivars harboring diverse qualitative Rvi resistance loci and quantitative trait loci associated with scab resistance could reduce the chemical footprint. A comprehensive understanding of the host–pathogen interaction is, however, needed to efficiently breed cultivars with enhanced resistance against a variety of pathogenic strains. Breeding efforts should not only encompass pyramiding of Rvi loci and their corresponding resistance alleles that directly or indirectly recognize pathogen effectors, but should also integrate genes that contribute to effective downstream defense mechanisms. This review provides an overview of the phenotypic and genetic aspects of apple scab resistance, and currently known corresponding defense mechanisms. Implementation of recent “-omics” approaches has provided insights into the complex network of physiological, molecular, and signaling processes that occur before and upon scab infection, thereby revealing the importance of both constitutive and induced defense mechanisms. Based on the current knowledge, we outline advances toward more efficient introgression of enhanced scab resistance into novel apple cultivars by conventional breeding or genetic modification techniques. However, additional studies integrating different “-omics” approaches combined with functional studies will be necessary to unravel effective defense mechanisms as well as key regulatory genes underpinning scab resistance in apple. This crucial information will set the stage for successful knowledge-based breeding for enhanced scab resistance.
Increasing the Pentose Phosphate Pathway Flux to Improve Plasmid DNA Production in Engineered E. coli

The demand of plasmid DNA (pDNA) as a key element for gene therapy products, as well as mRNA and DNA vaccines, is increasing together with the need for more efficient production processes. An engineered E. coli strain lacking the phosphotransferase system and the pyruvate kinase A gene has been shown to produce more pDNA than its parental strain. With the aim of improving pDNA production in the engineered strain, several strategies to increase the flux to the pentose phosphate pathway (PPP) were evaluated. The simultaneous consumption of glucose and glycerol was a simple way to increase the growth rate, pDNA production rate, and supercoiled fraction (SCF). The overexpression of key genes from the PPP also improved pDNA production in glucose, but not in mixtures of glucose and glycerol. Particularly, the gene coding for the glucose 6-phosphate dehydrogenase (G6PDH) strongly improved the SCF, growth rate, and pDNA production rate. A linear relationship between the G6PDH activity and pDNA yield was found. A higher flux through the PPP was confirmed by flux balance analysis, which also estimates relevant differences in fluxes of the tricarboxylic acid cycle. These results are useful for developing further cell engineering strategies to increase pDNA production and quality.
Environmental Monitoring Supported by Aerial Photography – a Case Study of the Burnt Down Bugac Juniper Forest, Hungary

Abstract Wildfire poses a serious risk in several regions of the world threatening urban, agricultural areas and natural ecosystems as well. Nature conservation has important role to be prepared for the management of postfire environmental degradation and restoration for protected areas preserving valuable ecosystems. The improving temporal and spatial resolution of remote sensing and GIS methods significantly contributes to map the changes for accelerating management steps of restoration. In this study a severe wildfire and its impacts were assessed in case of a protected area of the Kiskunság National Park in Hungary, which was partly burnt down in 2012. The aim of this research was to efficiently and accurately assess the damages and to plan and execute the restoration works using remote sensing tools. Aerial data collection was performed one month, and one year after the fire. In 2014 the regenerated vegetation was surveyed and mapped in the field. Using the aerial photographs and the field data, the degree and extent of the fire damages, the types and the state of the vegetation and the presence and proportion of the invasive species were determined. Semi-automatic methods were used for the classification of completely, partially damaged and undamaged areas. Based on the results, the reforestation of the burnt area is suggested to prevent the overspreading of white poplar against common junipers and to clean the area from the most frequent invasive species. To monitor the regeneration of the vegetation and the spreading of the invasive species, further aerial photography and field campaigns are planned.
A BOUND FOR THE CHROMATIC NUMBER OF ( $P_{5}$ , GEM)-FREE GRAPHS

As usual, $P_{n}$ ( $n\geq 1$ ) denotes the path on $n$ vertices. The gem is the graph consisting of a $P_{4}$ together with an additional vertex adjacent to each vertex of the $P_{4}$ . A graph is called ( $P_{5}$ , gem)-free if it has no induced subgraph isomorphic to a $P_{5}$ or to a gem. For a graph $G$ , $\unicode[STIX]{x1D712}(G)$ denotes its chromatic number and $\unicode[STIX]{x1D714}(G)$ denotes the maximum size of a clique in $G$ . We show that $\unicode[STIX]{x1D712}(G)\leq \lfloor \frac{3}{2}\unicode[STIX]{x1D714}(G)\rfloor$ for every ( $P_{5}$ , gem)-free graph $G$ .
Wound Healing Using Electrical Stimulation: A Review

The wound healing process is considered one of the most important elements of progress in the health and medical reality alike, because it has a direct impact on the patient’s life, especially those who suffer from chronic diseases such as diabetes mellitus and others. All over the world, especially in developing countries, many people are exposed to afflictions due to the lack of ability to heal wounds or the delay in their recovery. The healing of wounds is always attributed to the ability of the affected skin to produce an electric current that helps the migration of stem cells and platelets to the place of extraction For the sake of healing, this is why electrical stimulation ES devices played an important role in the process of stimulation and wound treatment through using the high voltage pulsed current HVPC, low voltage pulsed current LVPC, direct current DC or pulse current PC. In this study, we review some of the important works that touched on this field in terms of the aim of their studies and the outcome that was reached, and the results were extracted. We also discuss the problems that faced researchers, especially those problems that Their studies miss it.
Diagnostic significance of individual glucose values in oral glucose tolerance test and the associated risk factors for gestational diabetes mellitus in pregnant mothers: A cross-sectional study

Background: The diagnosis of gestational diabetes mellitus (GDM) is mainly based on oral glucose tolerance test (OGTT) in Sri Lankan clinical setting. The present study was to assess the diagnostic significance of individual glucose values in 75g OGTT in a group of pregnant mothers, to modify the test procedure to make it more convenient and cost-effective and to identify the associated risk factors for GDM.Methods: A total of 150 pregnant women within the second trimester and attending the antenatal clinics at Teaching Hospital Mahamodara were recruited for the study. Data collection was carried out via an interviewer-administered questionnaire followed by retrieval of laboratory data on OGTT.Results: Seventeen pregnant women (11.33%) were diagnosed with GDM by OGTT based on the WHO criteria. Diagnosis was based on either fasting or 2-hour glucose values alone or by increased levels in more than one of those parameters. None of them were diagnosed based on the 1-hour glucose value alone. The AUC values were 0.951 (0.884, 1.000), 0.829 (0.715, 0.942) and 0.859 (0.776, 0.943) respectively for fasting, 1-hour and 2-hour glucose concentrations (CI 95%). GDM was associated with uncontrolled sweet consumption (X2=5.86, p=0.015) and no association was observed with reference to maternal age, parity, BMI, positive family history of diabetes, and prior history of GDM or diabetes mellitus.Conclusion: Fasting and 2-hour plasma glucose values have higher diagnostic accuracy over 1-hour glucose values and the findings suggest the performance of fasting and 2-hour samples alone in the standard 75g OGTT procedure for the diagnosis of GDM.
Weed detection in soybean fields using improved YOLOv7 and evaluating herbicide reduction efficacy

With the increasing environmental awareness and the demand for sustainable agriculture, herbicide reduction has become an important goal. Accurate and efficient weed detection in soybean fields is the key to test the effectiveness of herbicide application, but current technologies and methods still have some problems in terms of accuracy and efficiency, such as relying on manual detection and poor adaptability to some complex environments. Therefore, in this study, weeding experiments in soybean fields with reduced herbicide application, including four levels, were carried out, and an unmanned aerial vehicle (UAV) was utilized to obtain field images. We proposed a weed detection model—YOLOv7-FWeed—based on improved YOLOv7, adopted F-ReLU as the activation function of the convolution module, and added the MaxPool multihead self-attention (M-MHSA) module to enhance the recognition accuracy of weeds. We continuously monitored changes in soybean leaf area and dry matter weight after herbicide reduction as a reflection of soybean growth at optimal herbicide application levels. The results showed that the herbicide application level of electrostatic spraying + 10% reduction could be used for weeding in soybean fields, and YOLOv7-FWeed was higher than YOLOv7 and YOLOv7-enhanced in all the evaluation indexes. The precision of the model was 0.9496, the recall was 0.9125, the F1 was 0.9307, and the mAP was 0.9662. The results of continuous monitoring of soybean leaf area and dry matter weight showed that herbicide reduction could effectively control weed growth and would not hinder soybean growth. This study can provide a more accurate, efficient, and intelligent solution for weed detection in soybean fields, thus promoting herbicide reduction and providing guidance for exploring efficient herbicide application techniques.
Decreased expression of TXNIP is associated with poor prognosis and immune infiltration in kidney renal clear cell carcinoma

The most prevalent and insidious type of kidney cancer is kidney clear cell carcinoma (KIRC). Thioredoxin-interacting protein (TXNIP) encodes a thioredoxin-binding protein involved in cellular energy metabolism, redox homeostasis, apoptosis induction and inflammatory responses. However, the relationship between TXNIP, immune infiltration and its prognostic value in KIRC remains unclear. Thus, the present study evaluated the potential for TXNIP as a prognostic marker in patients with KIRC. Data from The Cancer Genome Atlas were used to assess relative mRNA expression levels of TXNIP in different types of cancer. The protein expression levels of TXNIP were evaluated using the Human Protein Atlas. Enrichment analysis of genes co-expressed with TXNIP was performed to assess relevant biological processes that TXNIP may be involved in. CIBERSORT was used to predict the infiltration of 21 tumor-infiltrating immune cells (TIICs). Univariate and multivariate Cox regression analyses were used to assess the relationship between TXNIP expression and prognosis. Single-cell RNA-sequencing datasets were used to evaluate the mRNA expression levels of TXNIP in certain immune cells in KIRC. The CellMiner database was used to analyze the relationship between TXNIP mRNA expression and drug sensitivity in KIRC. The results from the present study demonstrated that TXNIP expression was significantly decreased in KIRC tissue compared with that in normal tissue, as confirmed by western blotting and reverse transcription-quantitative PCR. In addition, downregulated TXNIP expression was significantly associated with poor prognosis, a high histological grade and an advanced stage. The Cell Counting Kit-8 assay demonstrated that TXNIP overexpression significantly suppressed tumor cell proliferation. Univariate and multivariate Cox regression analyses indicated that TXNIP served as a separate prognostic factor in KIRC. Moreover, TXNIP expression was significantly correlated with the accumulation of several TIICs and its overexpression significantly downregulated the mRNA expression levels of CD25 and cytotoxic T-lymphocyte-associated protein 4, immune cell surface markers in CD4+ T lymphocytes. In conclusion, TXNIP may be used as a possible biomarker to assess unfavorable prognostic outcomes and identify immunotherapy targets in KIRC.
Histopathological Clues of Enhanced Inflammation in the Placental Tissue of Women with Chronic Venous Disease in Lower Limbs during Pregnancy

It is estimated that approximately one in three women develop chronic venous disease (CVD) during pregnancy, a broad spectrum of morphofunctional disorders affecting the venous system in different regions of the body, including the lower limbs. A growing body of evidence supports the diverse maternofetal consequences derived from this condition, with the placenta being an organ particularly affected. Among other consequences, having CVD during pregnancy has been associated with systemic inflammation and altered cytokines and chemokine profiles in the maternal and fetal serum related to this condition. In the present work, we aimed to analyze if these inflammatory changes also occurred in the placental tissue of women with CVD, exploring by immunohistochemistry and real-time PCR (RT-qPCR) gene and protein expression of critical inflammatory markers like allograft inflammatory factor 1 (AIF-1), interleukin 10 (IL-10), IL-12A, and IL-18. Our results demonstrate an enhanced tissue expression of AIF-1, IL-12A, and IL-18, accompanied by a decrease in IL-10 in the placentas of women who had undergone CVD during pregnancy. Overall, our results suggest a possible pathophysiological role of inflammation in the placental tissue of women with CVD during pregnancy, although the precise consequences of this feature remain to be deeply analyzed.
The impact of social media on rural area: A bibliometric analysis

The number of general retail visits has decreased worldwide due to the COVID-19 pandemic. Individuals who previously used social media for commercial transactions now choose e-commerce. Social media allows clients to voice their opinions during crises, boosting product visibility. This study investigates the use of bibliometric analysis to shape social media use in "rural areas" to better understand "social media" in these places. Scholarly articles on rural social media share these findings. Scopus was used to collect "social media" and "rural areas" data. Social media use in rural regions was examined in 119 publications. These articles were used to identify patterns and predict the future. Multiple social media and rural area articles were used to classify and examine distribution states to find key research advancements and divisions. This study explored rural social media use and related research gaps. Synthesizing the findings provides a solid framework for future research. This study examines marketing research, focusing on social media and rural locations. It also discusses the value of social media journals for businesses, developing research trends and future opportunities in rural social media organization, and identifying critical business performance indicators. Rural social media's purpose. The capability framework can help find new marketing research avenues.
Three-compartment structure of subsurface-intensified mesoscale eddies in the ocean

Mesoscale eddies are energetically dominant and pervasive over most of the world's oceans. Among them, many are subsurface intensified with strongest signals in the ocean interior such as mode water eddies, which trap water masses with distinctive properties and carry them over long distances. With both Argo profiling floats and atmospheric reanalysis data we showed that the structure of these eddies obeys a universal rule. Hence their three-dimensional hydrographic fields can be readily reconstructed from very limited information. More interestingly, the volume of water trapped and moved by a mode water eddy is much greater than previously thought; it has a three-compartment structure in the vertical with the mode water being sandwiched between two layers of notably different properties and accounting for only a portion of the total trapped volume. This article is protected by copyright. All rights reserved.
Note on macrozoobenthic invertebrate assemblages from Natura 2000 ROSCI0045 Jiu Corridor

: Macrozoobenthic invertebrate assemblages are a very important component of water ecosystems that reflect water quality. The evaluation of these assemblages in the Jiului Corridor Natura 2000 site can highlight the natural value of aquatic invertebrate biodiversity. Thus, our study aimed to analyze seven streams from the Jiu Corridor Natura 2000 site from the point of view of the macrozoobenthic invertebrate assemblages’ structure. The samples were collected in June 2020. Also, we measured the most important physicochemical parameters of the water. In the sample sites, we found a number of 31 taxa. There were differences between the sites depending on the riverbed type, hydrology, and human impact intensity. Totally, we have identified 15232 individuals of macrozoobenthic invertebrates. Even though the communities in the seven studied watercourses were different, these differences were not statistically significant. This fact, correlated with the high number of individuals and taxa, suggests the relict character of the macrozoobenthic invertebrate communities in the studied small watercourses. These aquatic habitats preserve the region`s biodiversity from before anthropic transformations.
The Zebrafish as an Alternative Animal Model for Ecotoxicological Research and Testing

: Anthropogenic interventions have had a compromising effect on environmental health, intensifying the degradation of ecosystems, and the quantity of chemical pollutants released into nature. Therefore, research areas within the scope of environmental assessments and monitoring such as ecotoxicology have contributed to the determination of the toxic potential of contaminants. A small cyprinid known as the zebrafish ( Danio rerio ), the use of which has exponentially grown, is an alternative vertebrate model for scientific research, mainly in the assessment of environmental risks. The species exhibits several advantages for breeding in a laboratory, in addition to presenting multi-biomarkers of environmental toxicity. Thus, this review aims to present the main characteristics and advantages of working with this species, as well as show studies related to ecotoxicology involving biomarkers of toxicity in zebrafish. The results show a progressive trend towards employing the species in environmental risk analyses, it is an increasingly recommended species in the assessment of the toxicity level of a range of chemical pollutants. The development of future technologies must contribute to scientific advancement, rendering the potential application of this model organism an even more widespread one, which will certainly help in bridging knowledge gaps in various areas of study.