Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of the venomous snakebite patients treated in the Uzice General Hospital (Western Serbia) between 2006 and 2018

Introduction/Objective. A countrywide survey of venomous snakebites was never conducted in Serbia: the making of a central register was initiated only in 2018. We collected and analyzed the available data regarding venomous snakebites in the Uzice region (Western Serbia). The previous analysis from this hospital was published in 1968. Methods. We retrospectively analyzed the data regarding the venomous snakebite patients treated at the Uzice General Hospital between 2006 and 2018 and compared these with the data from the 1960s, from one more hospital in Serbia, and from two ex-Yugoslav countries. Results In 13 years, 249 persons were treated. Of all cases, 10.4% were with inconspicuous symptoms (mild pain at the place of bite), 68.7% were with mild to moderate symptoms, and 20.9% were more or less severe. No fatalities were recorded. Conclusion. Although usually not a life-threatening issue, venomous snakebites are quite common and can cause serious complications. With proper education, many can be avoided. Also, bearing in mind not only the biodiversity per se but also the importance of snakes? venoms for the making of various medically important products, we emphasize the need for proper protection of all three venomous snake species in Serbia, namely Vipera ammodytes (nose-horned viper), V. berus (European adder), and V. ursinii (meadow viper).
PhiBoost- A novel phishing detection model Using Adaptive Boosting approach

Every day, cyberattacks increase and use different strategies. One of the most common cyberattacks is Phishing, where the attacker collects sensitive and confidential information by pretending as a trusted party. Different traditional strategies have been introduced for anti-phishing, such as blacklisted, heuristic search and visual similarity. Most of these traditional methods have a high false rate and take a long time to detect the phishing website. New modes have been introduced using machine learning techniques which improve the detection’s accuracy. Machine learning techniques require a huge amount of data called features that are collected from different websites. These collected features are classified into four categories. This paper introduces a novel detection model by utilizing features’ selection to pick up the highly correlated features with the class label. The phase of features’ selection employs independent significance features library from MATLAB and heat-map from Python to find the highly correlated features. Then, the proposed model uses an adaptive boosting approach which consists of multiple classifiers to increase the model’s accuracy. The proposed model produces an extremely high predictive accuracy of approximately 99%.
Bioactivity of carotenoid produced by soft coral symbiotic microorganisms from Panjang and Karimunjawa Island, Centra Java, Indonesia

Abstract. Kusmita L, Nuryadi H, Widyananto PA, Muchlissin S, Sabdono A, Trianto A, Radjasa OK. 2021. Bioactivity of carotenoid produced by soft coral symbiotic microorganisms from Panjang and Karimunjawa Island, Central Java, Indonesia. Biodiversitas 22: 732-740. The diversity of soft corals is more varied in waters. One of the characteristics of soft corals is the production of secondary metabolites, i. i.e. carotenoids. Carotenoids are phytonutrients found in the cells of a wide variety of plants, algae, and bacteria as secondary metabolic compounds with antioxidant functions. Carotenoid biosynthesis is strongly influenced by the environment in which the producing organism grows. This study was aimed to uncover the antioxidant and anti-ultraviolet activities of carotenoids produced by soft coral symbiotic microorganisms in the waters surrounding the Panjang and Karimunjawa Islands in the North Java Sea, Indonesia. The parameters observed included water quality, antioxidant activity, and anti-ultraviolet activity. The results indicated that the water quality at Panjang Island did not meet quality standards (including salinity, visibility, dissolved oxygen, ammonia, and nitrate) while that at Karimunjawa did. The diversity of soft corals was more varied at Karimunjawa Island than at Panjang Island. In contrast to the bioactivity, the carotenoid extracts from the Panjang Island soft coral symbiotic microorganisms showed higher activity than those from Karimunjawa Island microorganisms. The highest antioxidant activity was found in the bacterial isolate 19.PP.Sc1.6 from Panjang Island and was identified based on the 16S rRNA gene as Virgibacillus salarius, with 99% similarity.
Stereo visual odometry based on dynamic and static features division

Accurate camera pose estimation in dynamic scenes is an important challenge for visual simultaneous localization and mapping, and it is critical to reduce the effects of moving objects on pose estimation. To tackle this problem, a robust visual odometry approach in dynamic scenes is proposed, which can precisely distinguish between dynamic and static features. The key to the proposed method is combining the scene flow and the static features relative spatial distance invariance principle. Moreover, a new threshold is proposed to distinguish dynamic features.Then the dynamic features are eliminated after matching with the virtual map points. In addition, a new similarity calculation function is proposed to improve the performance of loop-closure detection. Finally, the camera pose is optimized after obtaining a closed loop. Experiments have been conducted on TUM datasets and actual scenes, which shows that the proposed method reduces tracking errors significantly and estimates the camera pose precisely in dynamic scenes.
What Makes A Great Preschool Teacher Best Practices and Classroom Quality in an Urban Early Childhood Setting

This qualitative study explored preschool teacher beliefs and practices in relationship to observed classroom quality and student outcomes. A phenomenological approach framed the design of the research collected from seven preschool teachers in a large urban school district in Western NY. Teachers were asked two questions about student learning and excellence in teaching. Findings suggest that high performing preschool teachers believe it is important to establish nurturing relationships with their students, foster positive relationships with the families of the children they work with in the classroom, and nurture the social-emotional development of their children in the classroom. Pedagogically, differentiated instruction emerged as a theme in which teachers’ described their teaching practice to meet the needs of all their students. Future research should be focused on the impact professional development has on the quality of instruction provided in preschool classrooms.
The process of economic integration and globalization in the area of financial reporting, focusing on publication of financial statements in the Czech Republic and in selected countries of the European Union

Research background: One of the most important features of the current development of the world economy is international integration, which is taking on global dimensions. Operations of transnational companies and the development of the global capital market brings the necessity of accounting harmonization. The goal of this is to ease the mutual observation, reporting, use and thus creation of a single, international accounting. Purpose of the article: The purpose of this article is to describe the current state of the process of harmonization during preparing the annual accounts in the Czech Republic and in selected countries of the European Union, with the analysis of impacts of change in the legislative framework to the obligations of entities in the area of preparation and publication of financial statements. Methods: Scientific procedures using theoretical methods were used in the paper, which include description, analysis, synthesis, comparison and evaluation, inclusive of processing and evaluation of data and information obtained from research conducted by business entities in the Czech Republic. Findings & Value added: The article analyses the impacts of the process of harmonization and globalization on the area of financial reporting and on publishing financial statements. Based on the acquired theoretical and practical knowledge, the paper suggests possible solutions to improve the informational obligations of accounting units. The paper also evaluates the achievement of compliance in the area of reporting financial statements from the perspective of the Czech Republic and selected countries of the European Union.
Relationship Between Coherence of Sequential Events and Dialogue Continuity in Conversational Response

雑談対話システムの評価指標として,ユーザとの対話を継続させる働きを表す,対話 継続性が挙げられる. 対話モデルの先行研究において,対話継続性の向上には,シ ステム発話の一貫性が重要であると考えられている. そこで本論文では,対話モデ ルより生成された応答候補を,対話中に含まれる事態の一貫性に基づいてリランキ ングする手法を提案する. 提案手法は対話に含まれる事態の一貫性(「ストレスが溜 まる」と「発散する」は関連した事態である,など)を考慮することで,選択され る応答の一貫性,対話継続性の向上を図る. 本研究では異なる 2つの手法を考案し た. 一つ目の手法は統計的に獲得された因果関係ペアとのマッチングにより,対話 中の事態の一貫性を考慮し,二つ目の手法は Coherence Model によって,対話の一 貫性を考慮する. 自動評価の結果,これらの手法では応答中の単語選択の観点では 一貫性は向上していることが確認された. 一方で,人手評価の結果では,応答の主 観的な一貫性は明確に向上しないものの,一つ目の方法により対話継続性が向上す るという,一見して矛盾する結果が確認された. この結果より一貫性と対話継続性 の関係について,人手評価結果の相関分析,事例分析を行った. これらの分析結果 より,人手評価において主観的な一貫性の向上は対話継続性の向上にあまり寄与し ないことが確認された. また,対話履歴に対して一貫する事態を選択できている場 合には対話継続性が向上することが示唆された. キーワード:対話システム,事態,リランキング,対話継続性
Extended LDA Based Topic Analysis for Big Sentiment Data

Owing to the massive emergence of multi-modal data related to big sentiment events, the topic analysis of the text cannot accurately reflect the topic distribution of the whole data set. There are some problems such as semantic deficiency and difficulty in integration. Therefore, the extended LDA(eLDA) based topic analysis for big sentiment data is posed. Firstly, the semantic analysis of text and image data is carried out by probability generation method respectively. The semantic correlation between multi-modal data is used for visual topic learning, a visual topic model is established, and the mapping between visual data and text topics is realized. Furthermore, the fusion of text, audio, video and image data is realized, and multimodal theme analysis is carried out accordingly. The experimental results show that the multimodal topic analysis method can effectively obtain the subject words related to the semantics of big sentiment data. The effect of the subject words tracked by the multi-modal data analysis method is better than that of the single text subject words extraction, which can provide basis for emotional analysis of big sentiment events.
Content-Invariant Dual Learning for Change Detection in Remote Sensing Images

With the introduction of artificial intelligence (AI), current deep learning-driven change detection methods generally regard changes as a type of specific land cover information and try to detect them simply by using existing semantic labeling models. In practice, the changes that occur on different land cover categories may appear completely different for remote sensing images, making it difficult to detect multiple categories of changes with an end-to-end model. In addition, training such networks requires a large amount of prelabeled references, which are labor-intensive and time-consuming. Motivated by this observation, we integrate dual learning algorithm and disentangled representation theory to develop a novel approach, named content-invariant dual learning (CiDL), for either supervised or unsupervised change detection in remote sensing images. In our framework, two opposite Y-shaped networks, each of which consists of two encoders and one decoder, are introduced to translate bitemporal images from their original domains to each others, where their intrinsic content features are retained, while their style features are consistent. By training our hybrid framework, even without references, this method learns a category-wise cross-domain translation to suppress the discrepancies in paired unchanged regions, and meanwhile highlight those in paired changed regions. The experimental results on two typical change detection data sets and the comparison with other state-of-the-art deep learning-driven methods verify the effectiveness and competitiveness of our proposed CiDL.
Is Oral Frailty Related To Meal Satisfaction

Oral frailty causes nutritional imbalance, subsequently leading to malnutrition in older adults. Herein, we examined the relationship between oral frailty and meal satisfaction among community-dwelling older adults. Meal satisfaction was evaluated using self-administered questionnaires. Oral conditions were assessed based on the number of remaining teeth and oral frailty. Of the 940 subjects in the Kashiwa study, which was conducted in the Kashiwa city, Chiba prefecture, Japan, 71% responded that their meals were “tasty” and 96% responded “enjoyable”. Moreover, 23% responded that the amount of meal was “large,” and 63% responded “normal” - While the number of teeth was not significantly associated with meal satisfaction, there was a negative association between oral frailty and meal satisfaction. Our finding indicates that it is important to consider and manage oral functions, other than the number of remaining teeth, to maintain healthy eating habits in older adults.
Self-assembly preparation of lignin–graphene oxide composite nanospheres for highly efficient Cr(vi) removal

Recently, research interest in the application of lignin is growing, especially as adsorbent material. However, single lignin shows unsatisfactory adsorption performance, and thus, construction of lignin-based nanocomposites is worth considering. Herein, we introduced graphene oxide (GO) into lignin to form lignin/GO (LGNs) composite nanospheres by a self-assembly method. FTIR and 1H NMR spectroscopy illustrated that lignin and GO are tightly connected by hydrogen bonds. The LGNs as an environmental friendly material, also exhibit excellent performance for Cr(vi) removal. The maximum sorption capacity of LGNs is 368.78 mg g−1, and the sorption efficiency is 1.5 times than that of lignin nanospheres (LNs). The removal process of Cr(vi) via LGNs mainly relies on electrostatic interaction, and it also involves the reduction of Cr(vi) to Cr(iii). Moreover, LGNs still have high adsorption performance after repeating five times with the sorption capacity of 150.4 mg g−1 in 200 mg g−1 Cr(vi) solution. Therefore, the prepared lignin–GO composite nanospheres have enormous potential as a low-cost, high-absorbent and recyclable adsorbent, and can be used in wastewater treatment.
Conhecimento dos enfermeiros acerca da importância do uso de protocolos de cuidados: Discurso do sujeito coletivo

Objective: to investigate the knowledge of intensive care nurses about prevention and risk assessment related to PPL and the importance of using nursing care protocols. Methods: This is an exploratory-descriptive study with a qualitative approach. The participants in this study are composed of intensive care nurses, ICU coordinating nurse and nursing manager, in addition to nurses responsible for the Dressing and Patient Safety Commission, totaling ten participants. Data were collected between March and December 2019. Individual semi-structured interviews were applied and later, the respondents' responses were transcribed in full and analyzed through the Collective Subject Discourse. Results: The analysis of the statements was based on six questions, which resulted in nine CSDs. The responses were subdivided into “Category A” and “Category B” when two different types of responses were obtained. As a result, questions 1, 2 and 3 show CSD in categories A and B, while questions 4, 5 and 6 only have CSD in “Category A”. Conclusion: The study enabled a better understanding of the conditions experienced by nurses working in the ICU, pointing out potentials, difficulties and limitations in the prevention and treatment of PPL.
Nanoporous fluorescent sensor based on upconversion nanoparticles for the detection of dichloromethane with high sensitivity

A sensor with high sensitivity and response rate is still lacking in the detection of poisonous and volatile chemicals. Here, we report a highly sensitive nanoporous fluorescence sensor based on core@shell upconversion nanoparticles (UCNPs) for the detection of dichloromethane. UCNPs were deposited on porous anodic alumina oxide (AAO) templates supported by glass slides to form a thin film-like gas sensor in which UCNPs with active shells exhibit intense background-free fluorescence and simultaneously high optical sensitivity, while an AAO template acts as a porous substrate for UCNPs to increase the absorption capacity for molecules to be tested. A detection limit of 2.91 ppm was obtained for dichloromethane based on this sensor at room temperature. The involved response mechanism was attributed to lowered surface fluorescence quenching and scattering of UCNPs by dichloromethane.
Density Estimation of Mobile Users’ Address Queries before and during the COVID-19 Pandemic

The aim of this study was to monitor social mobility using mobile users’ address searches before and during the outbreak of COVID-19. Mobile Google users’ address inquiries between the dates of 15 February 2020 and 27 July 2020 in the historical peninsula of Istanbul were gathered. The spatial distribution of the searches was examined and a heat map was produced based on kernel density estimation (KDE). The density of the inquiries started to decline in March, which is the month in which the first cases were reported in Turkey. An increase was reported in address queries in June and July.
Producing high Fischer ratio peptides from milk protein and its application in infant formula milk powder

Milk protein is beneficial for the health of infants and is mainly derived from bovine, sheep, goat or camel milk. High Fischer ratio peptides usually comprise two to nine amino acid residues. The ratio is computed as a molar ratio between branched-chain amino acids (BCAAs) over aromatic amino acids (AAAs) with various claimed health-promoting functions. In this Lilliput review, the classification and nutritional functions of milk proteins are discussed, the physiological functions and preparation methods of high Fischer ratio peptides are introduced, and the application of oligopeptide with unique amino acid composition and physiological functions in infant formula milk powder are reviewed. The development status of relevant industry is also summarized with future prospects. It is concluded that application of high Fischer ratio peptides prepared from milk protein in infant formula food is of great significance and requires further studies.
Elucidation of phytochemicals and antioxidants properties of Sasa quelpaertensis

ABSTRACT Sasa quelpaertensis Nakai extract (SQE) has long been used as a traditional medicine and health drink. The present study aims to examine the properties and antioxidant activity of the phytochemicals isolated from S. quelpaertensis. Therefore, the SQE was fractionated with n-hexane, chloroform (CHCl3), ethyl acetate (EtOAc), and n-butanol (BuOH). Phytochemicals present in the solvent fraction were also isolated using a high-performance liquid chromatography (HPLC) system. In addition, their DPPH radical scavenging ability and NO production inhibitory effect were compared. The results showed that phytochemicals p-hydroxybenzaldehyde (1), salicylic acid (2), syringaldehyde (3), methyl cis-p-hydroxycinnamate (4), methyl trans-p-hydroxycinnamate (5), p-coumaric acid (6), 2,3-dihydrozypropyl 9Z,12Z-octadecadienoate (7), (+)-(6S,7aS)-epilolide (8), (-)-(6 R,7aS)-loliolide (9), naringenin (10), 3-O-p-coumaroyl-1-(4-hydroxy-3,5-dimethoxyphenyl)-1-O-β-glucopyranosylpropanol (11), tricin (12), and tricin 7-O-b-D-glucopyranoside (13) were isolated from CHCl3, EtOAc, and BuOH fractions and then identified using nuclear magnetic resonance (NMR) spectrometry. This is an initial study on compounds 2, 3, 4, 5, 7, 8, and 9 obtained from S. quelpaertensis. Compounds 11 (IC50 120.3 μM) and 7 (IC50 43.62 μM) showed significant DPPH radical scavenging activity and anti-inflammatory activity, respectively. We believe these results may provide the basic data for developing effective antioxidants using the SQE.
Genetic Algorithm Driven Generic Estimation Model of Lithium-Ion Battery for Energy Balance Calculation in Spacecraft

Lithium-ion battery is generally used as energy storage device in spacecraft and other applications. Spacecraftbattery modeling and energy balance estimation is critical. The proposed genetic algorithm driven generic estimation - energy balance (GAGE-EB) model uses cell open circuit voltage characteristics, internal resistance ($r_{\text{int}}$) characteristics, and coulomb counting. The cell characteristics are obtained by offline tests. For series-parallel or parallel-series configured battery, the model estimates deliverable capacity and internal resistance by accurately matching the terminal voltage. Estimated parameters are used to check the energy balance for new load and generation profiles. The GAGE-EB model is validated for electrical performance with various cell types and battery configurations with respect to experimental data and is within 1% and 2% accuracy for voltage and capacity estimation, respectively.
Farinha da casca de feijoa: Caracterização físico-química e potencial antioxidante

Fruit processing generates a high number of residues in industries, which are commonly discarded, and these can be important sources of nutrients. In addition to interest in research and innovation in the area of fruit growing, interest in native Brazilian fruits has also increased, for example, feijoa (Acca sellowiana), which has high levels of minerals and fibers, potassium, phosphorus, sugars, calcium, flavonoids and polyphenols, among others. This research aimed at the elaboration and characterization of the physical, chemical, biochemical (antioxidant potential) and microbiological variables of the flour obtained from the pulping of feijoa. The results obtained were satisfactory, for the physical and chemical variables, as well as the flour presented a high antioxidant potential and standards acceptable by the legislation regarding the microbiological aspect. Thus, feijoa flour becomes viable, aiming at the use of residues and in the development of products PALAVRAS-CHAVE: “goiaba-serrana”; produto de fruta; potencial antioxidante. antioxidant potential.
Reporting quality of statistics in Indian journals: Analysis of articles over a period of two years

Statistics has always been ignored by both clinical researchers as well as journal editors. We undertook this study to find out the quality of statistical reporting in some of the Indian journals. A sample of eight Indian medical and surgical journals that publish original articles - Journal of Association of Physicians of India, Indian Pediatrics, Indian Journal of Surgery, Indian Journal of Orthopedics, Indian Journal of Ophthalmology, Neurology India, Indian Journal of Dermatology, National Medical Journal of India were chosen for the study. Only original studies were considered for analysis and were appraised for quality of reporting of descriptive statistics and inferential statistics, sample size calculation, and correction for multiplicity of statistical tests. A total of 415 original articles were identified during the specified period from all the eight journals. Major findings include no mention about sample size calculation (199/415, 48%) and normality check a priori to the use of parametric tests (140/415, 33.7%), use of multiple statistical tests (ranging between 14 and 126 times) without adjusting the P value (116/415, 28%), and no mention of confidence intervals at least for the primary endpoint (85/415, 20.5%). To conclude, we found poor quality of statistical reporting in some of the Indian journals and considering the seriousness of this issue, it is high time for both the researchers and journal editors to consult statistical experts, while the study is being carried out and at the time of publishing the same, respectively.