Miracle-dz/UniFAR-FTUs huggingface dataset:
Non-Antagonistic Contradictoriness of the Progress of Advanced Digitized Production with SARS-CoV-2 Virus Transmission in the Area of Dental Engineering

The general goals of advanced digitized production in the Industry 4.0 stage of the industrial revolution were presented along with the extended holistic model of Industry 4.0, introduced by the authors, indicating the importance of material design and the selection of appropriate manufacturing technology. The effect of the global lockdown caused by the SARS-CoV-2 virus transmission pandemic was a drastic decrease in production, resulting in a significant decrease in the gross domestic product GDP in all countries, and gigantic problems in health care, including dentistry. Dentists belong to the highest risk group because the doctor works in the patient’s respiratory tract. This paper presents a breakthrough authors solution, implemented by the active SPEC strategy, and aims to eliminate clinical aerosol at the source by negative pressure aspirating bioaerosol at the patient’s mouth line. The comparative benchmarking analysis and its results show that only the proprietary solution with a set of devices eliminates the threat at the source, while the remaining known methods do not meet the expectations. The details of this solution are described. Photopolymer materials and additive Digital Light Printing (DLP) technology were used.
Robust Localization of the Mobile Robot Driven by Lidar Measurement and Matching for Ongoing Scene

Aiming at the localization problem of mobile robot in construction scenes, a hybrid localization algorithm with the adaptive weights is proposed, which can effectively improve the robust localization of mobile robot. Firstly, two indicators of localization accuracy and calculation efficiency are set to reflect the robustness of localization. Secondly, the construction scene is defined as an ongoing scene, and the robust localization of mobile robot is achieved by using the measurement of artificial landmarks and matching based on generated features. Finally, the experimental results show that the accuracy of localization is up to 8.22 mm and the most matching efficiency is controlled within 0.027 s. The hybrid localization algorithm that based on adaptive weights can realize a good robustness for tasks such as autonomous navigation and path planning in construction scenes.
A High-Frequency Surface Wave Radar Simulation Using FMCW Technique for Ship Detection

Indonesia is an archipelagic country with a vast sea area. This vast sea area becomes a challenge in conducting regional surveillance to maintain maritime conditions. The use of buoys and satellites still has shortcomings in carrying out surveillance despite its excellent surveillance capabilities. A high-frequency radar technology with 3-30 MHz frequency and surface wave propagation are very suitable because it has a radar range that can cross the horizon or commonly refer to as Over the Horizon (OTH). The Frequency Modulated Continuous Wave (FMCW) technique on this radar obtains distance and velocity information by a continuously transmitted frequency modulation. The use of radar in Indonesia for marine surveillance is still infrequent. Therefore, it is relatively difficult to conduct testing and obtain data. In addition, the direct examination requires extended time, so a simulation program is needed. This paper discusses the design of a High-Frequency Surface Wave Radar (HFSWR) simulation program using FMCW modulation technique. The simulation program detected two objects based on time delays due to the distance and velocity of the object with a maximum range of 350 km. It displayed the results in an informative manner. The object detection was based on the results of the Fast Fourier Transform (FFT) from the mixed signals. The mixed signal is a combination of transmitted signal and reflected signal in which there are time delay components due to the object. The simulation program had been tested with input values of distance and velocity that vary, both for one object and two objects, in the radial direction. It generated output that was close to the input value with a level of accuracy of ± 2 km.
Functional trait and life-history variation of arbuscular mycorrhizal fungi during secondary succession

Composition of plant communities during secondary succession are, to a great extent, determined by their arbuscular mycorrhizal (AM) symbionts. However, the role of AM fungi in driving secondary succession of plant communities is still the subject of extensive research. In recent years, efforts have been made to classify plants and AM fungi according to their life history traits. The mutualistic interactions between a plant and an AM fungal species with matching life history traits are very stable over time. In contrast, mutualism is weak between plants and AM fungi with non-complementary strategies. Plants and fungi maximising each other’s fitness preferentially interact at the same successional stage. Moreover, there is compelling evidence for AM fungi driving plant–soil feedbacks. While altering feedback dynamics, AM fungi play a significant role in driving secondary succession towards climax stages by changing the composition of plant communities and recruiting more competitive or stress-tolerant species during intermediate successional stages. Consequently, community composition and change along successional gradients can be only fully understood when accounting for one of its major determinants: the AM fungi residing below ground. Functional trait and lifehistory variation of arbuscular mycorrhizal fungi during secondary succession
Prioritized Experience Replay in Multi-Actor-Attention-Critic for Reinforcement Learning

Experience replay is a significant method of off-policy reinforcement learning (RL), which makes RL reuse the past experience and reduce the correlation between samples. Multi-Actor-Attention-Critic (MAAC) is a successful off-policy multi-agent reinforcement learning algorithm, due to its good scalability. To accelerate convergence, we use prioritized experience replay (PER) to optimize the experience selection in MAAC, and propose the PER-MAAC algorithm. In the PER-MAAC, the priority metric is based on the temporal-difference error during training. The algorithm is evaluated in the scenarios of Multi-UAV Cooperative Navigation and Rover-Tower. The experimental results show that PER-MAAC improves the speed of convergence.
A mechanical study of cancer drug-receptor interactions, specifically in G-Quadruplex DNA and Topoisomerase I enzymes

v List of Figures . ix List of Tables . x Chapter 1: An Introduction to Computational Drug Design . 1 1.1 Motivations for a Computational Approach . 1 1.2 Basic Methodologies . 2 1.2. 1 Homology model construction . 2 1.2. 2 Molecular docking . 3 1.2. 3 Molecular dynamics simulations . 3 1.2. 4 MMGBSA binding energy calculations.4 1.3 Thesis Outline . 5 Chapter 2: A Mechanical Study of Anti-Cancer Drug Resistance Caused by 10 Topoisomerase I Mutations, Including 7 Camptothecin Analogs and Lucanthone . 8 2.
Towards a Smart Toy Ecosystem for Pets

—When pet’s owners take care of their pets, it sparks the need to know about the well-being of their pets. This requires the ability to monitor the animals’ activities in order to recognize unexpected behavior of the pets. Such monitoring systems are also useful for pet training purposes, which could be extended to more intelligent systems used to encourage speciﬁc behavior of pets. In order to do so, this study aims to develop a system that can keep track and record of such data of pets (e.g. movements, body temperature). The proposed eco-system includes a collar afﬁxed to the pet, interacting with a mobile application, a cloud data storage and processing platform as well as other toys to communicate with. This system is designed to be easily extended with new toys. It also can interact with smart voice assistant systems such as Apple Siri or Amazon Alexa. In addition, it has light weight so it can be afﬁxed to small dogs or cats.
Evaluating Ecological Footprints through Inbound
Tourism, Population Density, and Global Trade

Environmental damages are largely visible by the man-made actions in general, including an enormous increase in international tourism, huge pressure on arable land by increasing population density, and global international trade. These stated factors are mainly responsible for ‘ecological footprints’ across the globe. The present study considered these factors in order to evaluate ‘ecological footprints’ in a panel of 130 countries for a period of 1995-2018. The dynamic differenced GMM estimator is used for empirical illustrations. The study used different regression estimators in order to get robust inferences and found that inbound tourism is the main detrimental factor of global environment that causes ‘ecological footprint’, which further exhibit the ‘inverted U-shaped’ relationship between them. Further, population density and countries economic growth first increases and later decreases ecological footprints to support ‘inverted U-shaped relationship between them. The Granger causality results unable to verify the ‘tourism –led growth’ or ‘growth –led tourism’ hypothesis, while it shows ‘no causal’ relationship between them, although highly correlated in the regression estimates. Ecological footprint and population density both Granger cause inbound tourism, while the bidirectional relationship found between trade and inbound tourism. Sustainable tourism policies are highly needed to limit ecological footprints across countries.
How to Improve Collaboration Efficiency in the Built Environment of Factories by Using an Integrated Factory Modelling Concept – An Expert Study

Received: 8 February 2020 Accepted: 30 June 2020 Factory design involves the design of a complex production system in coherence with the requirements of the surrounding building envelope. These two disciplines, however, are still not integrated in order to be able to perform a completely BIM-based factory design that can be used to minimise design-related delays and reduce the cost of a factory design project. Main obstacles are unaligned levels of development, lack of transparency of informational relations and inefficient collaboration between production design and MEP(H) design. The objective of this paper is hence the generation and discussion of two concrete solution recommendations through an explorative expert study to overcome the already identified obstacles hindering an efficient BIM-based factory design process.
At the end: A vignette-based investigation of strategies for managing end-of-life decisions in the intensive care unit

Background Decision-making on end-of-life is an inevitable, yet highly complex, aspect of intensive care decision-making. End-of-life decisions can be challenging both in terms of clinical judgement and social interaction with families, and these two processes often become intertwined. This is especially apparent at times when clinicians are required to seek the views of surrogate decision makers (i.e., family members) when considering palliative care. Methods Using a vignette-based interview methodology, we explored how interactions with family members influence end-of-life decisions by intensive care unit clinicians (n = 24), and identified strategies for reaching consensus with families during this highly emotional phase of care. Results We found that the enactment of end-of-life decisions were reported as being affected by a form of loss aversion, whereby concerns over the consequences of not reaching a consensus with families weighed heavily in the minds of clinicians. Fear of conflict with families tended to arise from anticipated unrealistic family expectations of care, family normalization of patient incapacity, and belief systems that prohibit end-of-life decision-making. Conclusions To support decision makers in reaching consensus, various strategies for effective, coherent, and targeted communication (e.g., on patient deterioration and limits of clinical treatment) were suggested as ways to effectively consult with families on end-of-life decision-making.
Distribution of four isopods (Peracarida: Crustacea) in shallow waters of the Bizerte Lagoon (Tunisia, SW Mediterranean Sea)

Abstract The distribution of four isopods – Idotea balthica basteri (Pallas, 1772), Idotea chelipes mediterranea Charfi-Cheikhrouha, 1996, Sphaeroma serratum (Fabricius, 1787), and Paracerceis sculpta (Holmes, 1904) – at Menzel Jemil (Bizerte Lagoon, North Tunisia) was analysed and then related to the variation of temperature, depth and plant biomass. The abundance of isopods showed monthly fluctuations with maxima in August and minima in December 2010. The most dominant species was I. b. basteri followed by S. serratum, with a spatial gradient in the distribution pattern of isopod species in the study area. The high density of juveniles in algae and seagrass highlights the important role played by this habitat as a nursery for species. Both dominant species were tolerant to temperature variations, with some preference values (19.73–27.73°C in I. b. basteri; up to 28°C in S. serratum) and salinity (36.7–38.6 psu in I. b. basteri; 39–39.2 psu in S. serratum). Multiple regression analysis between environmental variables and species abundance showed a positive relationship with biomass of Gracilaria bursa-pastoris and Ulva lactuca for the two species of Idotea and Sphaeroma, respectively, while abundance of P. sculpta was positively related to temperature. Biotic and environmental linking (BIOENV) analysis confirmed the greatest influence of temperature and vegetation biomass on the temporal distribution of these isopod species. A spatial distribution pattern according to successive depths was revealed.
PERBANDINGAN METODE SMOTE RANDOM FOREST DAN SMOTE XGBOOST UNTUK KLASIFIKASI TINGKAT PENYAKIT HEPATITIS C PADA IMBALANCE CLASS DATA

Hepatitis causes around 1.4 million people die every year. This number makes hepatitis to be the largest contagious disease in the number of deaths after tuberculosis. Liver biopsy is still the best method for diagnosing the stage of hepatitis C, but this method is an invasive, painful, expensive, and can cause complications. Non-invasively method needs to be developed, one of non-invasif method is machine learning. Random Forest and XGboost are classification methods that are often used, since they have many advantages over classical classification methods. The SMOTE algorithm can be used to improve the accuracy of predictions from imbalanced data. the data in this study have 24 independent variables in the form of patients self-data, hepatitis C symptoms, and laboratory test results. The dependent variable in this study is a binary category, namely the level of hepatitis C disease (fibrosis and cirrhosis). The results showed that the random forest and XGboost had an accuracy of around 74% but the recall value was less than 2%. SMOTE random forest dan SMOTE XGboost have an accuracy & recall value more than 75%. SMOTE random forest has a higher accuracy for predicting fibrosis class while SMOTE XGboost is better in cirrhosis class. Variables that are more influental in determining hepatitis C stage are variables from laboratory test. Keyword : Fibrosis, Cirrhosis, Random Forest, SMOTE, XGboost
Seasonality of vocal activity of a bird community in an Afrotropical lowland rain forest

Abstract: Recent observations from the tropics indicate seasonal peaks in breeding and vocal activity of some bird species. However, information about seasonality in vocal activity at the community level is still lacking in the tropics. We examined seasonal variation in the diurnal vocal activity of lowland rain forest birds on Mount Cameroon, using weekly automatic sound recording throughout the whole year and related it to rainfall and temperature. We show that the bird community in lowland rain forest vocalized year-round, but species richness as well as the vocal activity of the community varied greatly during the year. This variation coincided with the seasonality of rainfall. The highest number of species (31.5 on average) sang at the beginning of the driest period, followed by a gradual decrease in singing with increasing rainfall (minimum 14.5 species). This indicates that intensive rainfall indirectly limits the vocal activity of the tropical rain-forest bird community. Temporal turnover of vocalizing species as well as within-day variation in vocal activity was highest during the transition period between dry and rainy seasons. We suggest that this could reflect differing timing in the breeding activity of particular feeding guilds to follow seasonal peaks of their diets.
Functional analysis of genomic variations associated with emerging artemisinin resistant P. falciparum parasite populations and human infecting piroplasmida B. microti

The undergoing WHO Malaria elimination program is threatened by the emergenceand potential spread of the Plasmodium falciparum artemisinin resistant parasite.Recent reports have shown (a) SNPs in region of chromosome 13 to be understrong recent positive selection in Cambodia, (b) presence of P. falciparum parasiteresistant and sensitive subpopulations in Cambodia, (c) the evidence that mutationsin the Kelch propeller domain of the k13 gene are major determinants ofartemisinin resistance in Cambodian parasite population and (d) parasite subpopulations in Northern Cambodia near Thailand and Laos with mefloquine drugresistance and carrying R539T allele of the k13 gene.Identifying the genetic basis of resistance is important to monitor and control thetransmission of resistant parasites and to understand parasite metabolism for the development of new drugs. This thesis focuses on analysis of P. falciparum population structure in Cambodia and description of metabolic properties of these subpopulations and gene flow among them. This could help in identifying the genetic evidence associated to transmission and acquisition of artemisinin resistance over the country.First, a barcode approach was used to identify parasite subpopulations using smallnumber of loci. A mid-throughput PCR-LDR-FMA approach based on LUMINEXtechnology was used to screen for SNPs in 537 blood samples (2010 - 2011) from 16health centres in Cambodia. Based on successful typing of 282 samples, subpopulations were characterized along the borders of the country. Gene flow was described based on the gradient of alleles at the 11 loci in the barcode. The barcode successfully identifies recently emerging parasite subpopulations associated to artemisinin and mefloquine resistance.In the second approach, the parasite population structure was defined based on167 parasite NGS genomes (2008 - 2011) originating from four locations in Cambodia,recovered from the ENA database. Based on calling of 21257 SNPs, eight parasite subpopulations were described. Presence of admixture parasite subpopulation couldbe supporting artemisinin resistance transmission. Functional analysis based on significant genes validated similar background for resistant isolates and revealed PI3K pathway in resistant populations supporting acquisition of resistance by assisting the parasite in ring stage form.Our findings question the origin and the persistence of the P. falciparum subpopulations in Cambodia, provide evidence of gene flow among subpopulations anddescribe a model of artemisinin resistance acquisition.The variant calling approach was also implemented on the Babesia microti genome.This is a malaria like syndrome, and is endemic in the North-Eastern USA. Theobjective was to validate the taxonomic position of B. microti as out-group amongpiroplasmida and improve the functional genome annotation based on genetic variation, gene expression and protein antigenicity. We identified new proteins involved in parasite host interactions.
An Irish national vegetation classification system for aquatic river macrophytes

Co-ordinating Editor: Norbert Hölzel Abstract Aim: To construct a classification system for Irish aquatic river vegetation that is directly comparable to European aquatic vegetation classification units. Location: A total of 2,415 river vegetation plots with a wide geographic distribution across both the Republic and Northern Ireland. Methods: The plots were recorded from a range of river types from upland streams to wadeable lowland rivers. A total of 1,613 plots were classified using supervised Kmeans clustering through the programme JUICE. The Phi coefficient for presence/ absence data was used to measure fidelity of the vegetation communities. Results: The vegetation communities could be initially subdivided in to four main categories: (1) bryophytedominated aquatic vegetation, (2) bryophytedominated marginal vegetation, (3) vascular plantdominated aquatic vegetation and (4) vascular plantdominated marginal/emergent vegetation. Within these four categories the vegetation was classified into seven classes, 18 alliances and 30 associations. Descriptions are given for each including variants and subassociations if found at association level. Conclusions: There is a rich diversity of bryophyte communities within Irish rivers and they are an integral part of the river network, whereas there was less diversity among vascular plant communities. The distinction between some communities was not as sharp as expected for a variety of reasons discussed in this paper, nevertheless, a working classification system was constructed.
Development of a physiologically-relevant in-vitro microfluidic model for monitoring of pancreatic cancer cells interactions with the liver

Le procede de la metastase cancereuse et sa comprehension sont devenus un des sujets majeurs de recherche en Biologie. En utilisant des modeles in-vitro en culture statique et dynamiques, nous avons etudie la possibilite de reproduire l’environnement physiologique in-vivo avec ces modeles. Nous avons developpe un modele de coculture hierarchique dans des plaques a fond en PDMS. Compose d’hepatocytes, de pericytes et de cellules endotheliales. Dans differentes conditions, l’influence de ces cellules sur l’adhesion de cellules cancereuses ou promyeloblastiques a ete analysee ainsi que leur effet sur l’etat inflammatoire du systeme. Afin de reproduire le flux sanguin et les forces de cisaillement presents in-vivo, le modele a ete transfere dans un systeme microfluidique. Le systeme se compose de trois canaux separes par des micro-piliers, pouvant etre remplis independamment. Les pericytes inseres dans du gel, les hepatocytes, les cellules endotheliales et finalement les cellules cancereuses ont ete injectes de facon successive afin de reproduire l’environnement in-vivo. Les cellules ont ete trouvees viables durant toute la culture et des marqueurs relatifs au foie et a l’inflammation exprimes. L’influence des hepatocytes et des pericytes a ete analyse. Il a ete observe que les cellules cancereuses adherees dans le canal du haut etaient attirees par les autres cellules dans les different canaux. Les modeles etablis posent de solides bases pour d’autres systemes plus complexes et d’interet pouvant servir de complement aux modeles in-vivo lors de la recherche de nouvelles substances medicamenteuses.
Mineral Phosphate Solubilization in Burkholderia tropica Involves an Inducible PQQ-Glucose Dehydrogenase

Fil: Bernabeu, Pamela Romina. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - La Plata. Centro de Investigacion y Desarrollo en Fermentaciones Industriales. Universidad Nacional de la Plata. Facultad de Ciencias Exactas. Centro de Investigacion y Desarrollo en Fermentaciones Industriales; Argentina