Miracle-dz/UniFAR-FTUs huggingface dataset:
Title: Fully automated, real-time 3D-ultrasound segmentation to estimate first trimester placental volume using deep learning

Abstract : Objectives: We present a new technique to fully automate the segmentation of an organ from 3D ultrasound (3D-US) volumes, using the placenta as the target organ. Image analysis tools to estimate organ volume do exist but are too time consuming and operator-dependant. Fully automating the segmentation process would potentially allow the use of placental volume to screen for increased risk of pregnancy complications. Methods: The placenta was segmented from 2393 first trimester 3D-US volumes using a semi-automated technique. This was quality controlled by three operators to produce the ‘ground-truth’ dataset. A fully convolutional neural network (OxNNet) was trained using this ‘ground-truth’ dataset to automatically segment the placenta.
Basic Example of Applying Effective Component Selection Method

When designing electronic circuits from discrete components, the finite number of component values in E series of preferred numbers is the limiting factor. For example, the E24 series contains just 24 component values per decade. If accuracy of the proposed circuit is required, use of E series of preferred numbers becomes limiting. The exact calculated value of the component must be rounded to the nearest value in the E series. This rounding creates the error of the proposed circuit parameters. For example, if an electronic filter needs to be designed, it will be out of tuning due to inaccurate part rounding. This paper deals with the error reduction. The error is caused by the necessity to use components from the E series of preferred numbers. The newly designed Effective Component Selection Method is used to minimize this error. The method works on the principle of multiple-stage optimization. The Effective Component Selection Method is applied on a very simple circuit, to design 21 different RC low pass filters. For comparison, rounding to the nearest value in the series method is also applied on the same example of the RC low pass filters design. The RC low pass filter's corner frequency f cor was chosen to be the filter's precision criterion. The results achieved by both methods were compared. The error of the designed circuit is calculated as the standard deviation of the difference between the wanted value and the resulting value. Compared with the Rounding to the nearest value in the series method, the Effective Component Selection Method reduces the error by 6 times.
GROWTH HORMONE GENE POLYMORPHISM IN TWO KINDS OF IRAQ NATIVE FOWLS

Molecular genetic selection on individual genes is a promising method to genetically improve economically important traits in chickens. The polymorphism in the intron 1 of chicken growth hormone (cGH) gene was investigated in the Iraq native fowls by using polymerase chain reaction (PCR)-restriction fragment length polymorphism (RFLP) method. The genomic DNA was extracted from 95 samples (47 from the Black feather native fowls and 48 from the Nicked neck native fowls) by using modified salting out technique. The DNA fragment of the growth hormone gene with 770 bp was amplified by PCR using specific primers. Then the PCR products were digested with MspI restriction enzyme and analyzed on 1.5% agarose gel. The allelic frequency of intron 1 locus for A and B alleles in Iraq native fowls (Black feather) were 0.47 and 0.53 and those in Nicked nick native fowls were 0.46 and 0.54, respectively. The results of current study indicated that the intron 1 of cGH is polymorphic in Iraq native fowls and could be exploited as a candidate gene for marker-assisted selection for growth-related traits.
LESSONS LEARNED FROM UNSUCCESSFUL INTERNATIONALIZATION ATTEMPTS: EXAMPLE OF MULTINATIONAL RETAILERS IN CHILE

Many retailers are expanding to foreign markets, but not all internationalization attempts are successful. This study utilizes an institutional perspective to examine unsuccessful internationalization efforts. According to this approach, retailers are more likely to succeed when they adapt their retail formats to the norms of the local market and achieve legitimacy from the relevant social actors. Four cases of unsuccessful retail internationalization to the Chilean market by Home Depot, Royal Ahold, Carrefour, and J.C. Penney, were examined. Based on expert and consumer interviews, findings show that these retail firms defied local institutional pressures from consumers, suppliers, competitors, retail executives, and the business community. Management executives of these firms did not embed themselves in the broader social network. It was also apparent the competition had anticipated and responded to their sources of competitive advantage. Finally, their scale was not big enough to command any advantages in the supply chain network.
Multiple Rokhlin Tower Theorem: A Simple Proof

S. Alpern has proved that an invertible antiperiodic measurable measure preserving transformation of a Lebesgue probability space can be rep- resented by k towers of heights n1;::: ;nk, with prescribed measures, provided that the heights have greatest common divisor 1. In this paper we give a sim- ple proof of Alpern's theorem. It is elementary in the sense that it involves no limits and uses Kakutani's easy proof of Rokhlin's Lemma.
OTT_A_256818 6497..6509

Li Yuan Wei * Xiao Jun Zhang* Li Wang Li Na Hu 3 Xu Dong Zhang 4,5 Li Li 3 Jin Nan Gao 1 1Department of Breast Surgery, Shanxi Bethune Hospital, Taiyuan, People’s Republic of China; 2School of Basic Medicine Sciences, Academy of Medical Science, Zhengzhou University, Henan 450053, People’s Republic of China; 3Department of Pathology, Shanxi Bethune Hospital, Taiyuan, People’s Republic of China; 4Translational Research Institute, Henan Provincial People’s Hospital, Academy of Medical Science, Zhengzhou University, Henan 450053, People’s Republic of China; 5School of Biomedical Sciences and Pharmacy, The University of Newcastle, Callaghan, NSW, Australia
Design and Application of a Two Pole Spherical Permanent Magnet Motor

Abstract—In this study, an air core spherical motor comprising a two pole permanent magnet rotor with 8 mm diameter and a multipole stator is designed by considering the ease of manufacturing priorities. Stator winding dimensions are calculated in a way to give maximum torque to the rotor analytically. Magnetic field distribution and torque values are calculated analytically. Stator coils in the yoke made from Delrin are positioned in proper values. Spherical motor with three poles stator and two poles rotor can move 44° up and down in 360° azimuthal angles without direct rotational movement in an open loop system and it is suitable to use in cascade in a robotic system.
This information is current as IFN-Producing Plasmacytoid Dendritic Cells Drives the Development of Type I Binding Protein/IFN Regulatory Factor 8 Cutting Edge: IFN Consensus Sequence

2 * IFN consensus sequence binding protein (ICSBP/IFN regulatory factor 8) is a hematopoietic cell-specific transcription factor essential for the generation of CD8 (cid:1) (cid:2) dendritic cells (DCs). We found that ICSBP (cid:3) / (cid:3) mice lack B220 (cid:2) CD11b (cid:3) plasmacytoid DCs (pDCs) in addition to CD8 (cid:1) (cid:2) DCs. Although ICSBP (cid:3) / (cid:3) mice have B220 (cid:3) CD11b (cid:2) myeloid DCs (mDCs), they fail to mature upon Toll-like receptor signaling. Accordingly, ICSBP (cid:3) / (cid:3) bone marrow progenitor cells were defective in generating pDCs in the fms-like tyrosine kinase 3 ligand-based culture system and mDCs generated in this system were defective in maturation. We demonstrate that introduction of ICSBP rescues the development of pDCs from (cid:3) / (cid:3) bone marrow progenitors. ICSBP also restored the ability of both pDCs and mDCs to mature after Toll-like receptor signals. ICSBP-restored DCs produced IFN- (cid:1) and IL-12p40 in a DC subset-selective manner with the amounts comparable to those by (cid:2) / (cid:2) DCs. Together, ICSBP is essential for early pDC development and final maturation of both pDCs and mDCs. The Journal of Immunology, 2003, 170: 1131–1135.
Improved model of the retardance in citric acid coated ferrofluids using stepwise regression

Citric acid (CA) coated Fe 3 O 4 ferrofluids (FFs) have been conducted for biomedical application. The magneto-optical retardance of CA coated FFs was measured by a Stokes polarimeter. Optimization and multiple regression of retardance in FFs were executed by Taguchi method and Microsoft Excel previously, and the F value of regression model was large enough. However, the model executed by Excel was not systematic. Instead we adopted the stepwise regression to model the retardance of CA coated FFs. From the results of stepwise regression by MATLAB, the developed model had highly predictable ability owing to F of 2.55897e+7 and correlation coefficient of one. The average absolute error of predicted retardances to measured retardances was just 0.0044%. Using the genetic algorithm (GA) in MATLAB, the optimized parametric combination was determined as [4.709 0.12 39.998 70.006] corresponding to the pH of suspension, molar ratio of CA to Fe 3 O 4 , CA volume, and coating temperature. The maximum retardance was found as 31.712°, close to that obtained by evolutionary solver in Excel and a relative error of -0.013%. Above all, the stepwise regression method was successfully used to model the retardance of CA coated FFs, and the maximum global retardance was determined by the use of GA.
PRELIMINARY RESULTS OF MAPPING IN THE CRYSTAL LINE COMPLEX OF RENLAND, THE SOUTHERN STAUN ING ALPER AND SOUTH-WEST LIVERPOOL LAND, SCORESBY SUND, EAST GREENLAND

The Caledonian crystalline complex of Renland and the southem Stauning Alper, south and north of the outer part of Nordvestfjord, was mapped by GGU (Grønlands Geologiske Undersøgelse) on a 1:50000 scale in the summer of 1969. The region to the west, around the inner part of Nordvestfjord, was mapped in 1968 (Henriksen & Higgins, 1969). To the east the crystalline complex is bordered by prominent faults which separate it from the Upper Palaeozoic and Mesozoic rocks of the Jameson Land basin. The mapping around outer Nordvestfjord was carried out by the following geologists: B. Chadwick, Exeter; J. D. Friderichsen, Copenhagen; N. Henriksen, Copenhagen; A. K. Higgins, Copenhagen; F. Keller, Ziirich; H. Rutishauser, Bem and A. Steck, Basle. The areas mapped by each geologist are indicated on the in dex map of map l. Mapping was also undertaken in south-west Liverpool Land, along the east side of Hurry R. mapped the southem part of this area, K. Coe, Exeter, mapped the northern part. A brief report on the work in Liverpool Land is given towards the end of this paper.
Effect of Dietary Restriction on Estrous Cyclicity and Follicular Reserves in Aging

Restricting the food intake of female mice by alternating days of feeding and fasting delayed the age-related loss of estrous cycling potential and retarded the rate of follicular depletion, as determined after reinstatement of ad libitum (AL) feeding. During the period of food restriction (FR; 3.5-10.5 mo), food intake and body weight were about 80% of AL values. Mice were acyclic and predominantly in a state of diestrus during FR, but after reinstatement of an AL diet at 10.5 mo all FR mice resumed cycling regularly. By contrast, 80% of AL controls had become acyclic by this age, and the cycles of the remaining mice were significantly longer than those of the reinstated FR mice. Follicular reserves of 12.5-mo-old FR mice were twice those of age-matched AL controls. Cycling performance of reinstated FR mice, measured by cycle length and the proportion of mice still cycling, was equivalent to that of AL mice when the latter were 2-5 mo younger. Ovarian age, measured by the size of the follicular reserve, was similarly retarded in FR mice. Based on these data and previous evidence that follicular depletion plays a major role in the cessation of cyclicity in this strain, we hypothesize that the delayed loss of estrous cyclicity in aging FR mice is medi- ated at least in part by the retarding effect of dietary restriction on the rate of follicular depletion.
Presence of invasive crayfish and spawning site selection in brown frogs

Microhabitat selection is a key component of amphibian breeding biology and can be modulated in 14 response to the features of breeding sites and the presence of predators. Despite invasive alien species 15 being among the major threats to amphibians, there is limited information on the role of invasive 16 species in shaping amphibians’ breeding microhabitat choice. The invasive red swamp crayfish 17 Procambarus clarkii is a major predator of amphibians’ larvae, including those of the brown frogs 18 Rana dalmatina and Rana latastei . Although qualitative information about the spawning site 19 preferences and breeding microhabitat choice of brown frogs is available in the literature, only a few 20 studies performed quantitative analyses, and the relationship between microhabitat choice and the 21 presence of alien predators has not been investigated yet. The aims of this study were: 1) to 22 characterize the microhabitats selected for clutch deposition by R. dalmatina and R. latastei and 2) to 23 test if the position and the aggregation of egg clutches differ in sites invaded or not invaded by P. 24 clarkii . During spring 2017, we surveyed multiple times 15 breeding sites of both brown frogs in 25 Northern Italy; in each site we assessed the features of the microhabitat where each egg clutch was 26 laid, considering its position (distance from the edge, depth of the water column) and the degree of 27 aggregation of clutches. In each site we also assessed the presence/absence of the invasive crayfish 28 and the relative abundance in the breeding period. We detected egg clutches in all sites; the crayfish 29 occurred in eight ponds. Our results showed substantial differences between the spawning 30 microhabitat features of the two brown frogs: Rana latastei clutches showed a higher degree of 31 aggregation and were associated with deeper areas of the ponds, while Rana dalmatina deposited 32 more spaced out clutches in areas of the ponds that were less deep For both species, spawning 33 microhabitat features were not different between sites with and without P. clarkii . Although we did 34 not detect behavioural responses to P. clarkii in the choice of spawning microhabitat, additional 35 studies are required in order to assess whether these frogs modulate other behavioural traits (e.g.
In-Vehicle Passing Collision Warning System for Two-Lane Highways Considering Driver Characteristics

Passing collisions are one of the most dangerous traffic safety problems. These head-on collisions occur when the driver of the passing vehicle is distracted or does not assess the situation appropriately. The purpose of this study is to develop a passing collision warning system (PCWS) for drivers on two-lane highways to prevent passing collisions and improve road safety. This paper presents a framework and algorithm design for a PCWS that ensures that drivers have an adequate sight distance for a safe passing maneuver. The system uses an available radar sensor to detect the closest opposing vehicle traveling in the left lane and calculates its position, speed, and acceleration rate to estimate the time to collision and compare it with the time required for the passing vehicle to clear the lane. Realistic initial time and passing time models were established using actual experimental field data collected using a global positioning system (GPS) data logger device that was installed in the passing, impeding, and opposing vehicles and used to record the position and speed of different passing vehicles at 1-s intervals. The MATLAB simulation was developed and used to replicate real-life passing maneuvers and was also used to create the algorithm for the proposed warning system. The passing maneuver parameters were selected from probability distribution curves based on field data. The simulation model determines the relative distance and speed of the opposing vehicle at four different time intervals. The different factors that impact system accuracy were also examined.
DISPERSE DYES BASED ON 2-AMINO-5-MERCAPTO-1,3,4-THIADIAZOLE AND 2-AMINO-4,6-DIHYDROXYPYRIMIDINE MOIETIES: SYNTHESIS AND APPLICATION ON NYLON 6 FABRICS

The synthesis of azo disperse dyes from the heterocyclic compounds remains one of the best approaches in solving the problem of environmental issues and safety of human health due to their ease of biodegradability. The aim of this study was to synthesize eight azo disperse dyes from 2-amino-4,6-dihydroxy pyrimidine and 2-amino-5-mercapto-1,3,4-thiadiazole, using diazotization-coupling reactions. The dyes were characterized in terms of their spectroscopic studies such as proton ( 1 H) and 13 C nuclear magnetic resonance, Fourier transform infrared (FT-IR). The spectroscopic data obtained confirmed the structures of the synthesized dyes. It was also established by these analyses that the dyes existed in the tautomeric form in the solid state and liquid state. The ultraviolet-visible absorption spectra of the dye derivatives were found to show wavelength maxima in the 401-636nm range. The application of the dyes onto nylon 6 fabrics was carried out and their fastness properties in terms of washing, rubbing, light, perspiration and sublimation were studied. It was found that the dyes displayed interesting fastness properties with the following ratings; washing (grade 5), rubbing (grade 3/4 to 4) perspiration (grade 4/5 to 5), light (grade 5 to 5/6) and sublimation (grade 4 to 5). From these results, it can therefore be concluded that the dyes have very good affinity for the nylon 6 fibres. The dyes in solution showed base sensitive function that led to good wet fastness in terms of staining on the adjacent fabrics. Hence, the dyes under study could be commercially important in the dyeing of nylon fibres.
CLEP_A_265287 1205..1222

1Département des Sciences de la santé, Université du Québec en AbitibiTémiscamingue (UQAT), RouynNoranda, Québec, Canada; 2Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), Montréal, Québec, Canada; 3Département d’anesthésiologie et de médecine de la douleur, Faculté de médecine, Université de Montréal, Montréal, Québec, Canada; 4Department of Psychology, Faculty of Health, York University, Toronto, Ontario, Canada; 5Département de médecine de famille et de médecine d’urgence, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Québec, Canada; 6Centre de recherche du Centre hospitalier Universitaire de Sherbrooke (CRCHUS), Sherbrooke, Québec, Canada; 7StatSciences Inc., Notre-Dame-de-lL’île-Perrot, Québec, Canada Abstract: Trajectory modelling techniques have been developed to determine subgroups within a given population and are increasingly used to better understand intraand interindividual variability in health outcome patterns over time. The objectives of this narrative review are to explore various trajectory modelling approaches useful to epidemiological research and give an overview of their applications and differences. Guidance for reporting on the results of trajectory modelling is also covered. Trajectory modelling techniques reviewed include latent class modelling approaches, ie, growth mixture modelling (GMM), group-based trajectory modelling (GBTM), latent class analysis (LCA), and latent transition analysis (LTA). A parallel is drawn to other individual-centered statistical approaches such as cluster analysis (CA) and sequence analysis (SA). Depending on the research question and type of data, a number of approaches can be used for trajectory modelling of health outcomes measured in longitudinal studies. However, the various terms to designate latent class modelling approaches (GMM, GBTM, LTA, LCA) are used inconsistently and often interchangeably in the available scientific literature. Improved consistency in the terminology and reporting guidelines have the potential to increase researchers’ efficiency when it comes to choosing the most appropriate technique that best suits their research questions.
Significance of Combining Machine Learning Techniques for Web Caching with Web Pre-Fetching

: The performance of web-based system in terms of access delay is improved by deploying the web caching strategy. Web caching is the technique in which frequently used web objects can be kept closer to the web user. Apart from experiencing lesser access delay, caching process also helps in better bandwidth utilization, reduction of network congestion and to reduce load on the origin server. Web pre-fetching is the process of bringing the web objects from the origin server which has more likelihood of being used in the future. Web pre-fetching helps in increasing the cache hits and reducing the user perceived latency. Combining web caching and pre-fetching techniques results in experiencing further less access delay and better bandwidth utilization than using the above two techniques individually. In this work, intelligent web caching techniques namely, SVM–LRU, naive Bayesian LRU and Neuro-Fuzzy LRU are used in combination with clustering technique for web pre-fetching. Comparison of the above intelligent caching techniques combined with pre-fetching technique is done using the metrics Hit Ratio (HR) and Byte Hit Ratio (BHR). For clustering, both inter-clustering and intra-clustering are considered. It has been demonstrated that combining SVM-LRU caching technique with intra clustering technique results in higher HR and BHR than the other combinations for both Inter and Intra-clustering.
An Explanation Framework for Whole Processes of Data Analysis Applications: Concepts and Use Cases

-The main contribution of the paper is to address the necessity of both macro and micro explanations for Social Big Data (SBD) applications and to propose an explanation framework integrating both, allowing SBD applications to be more widely accepted and used. The framework provides both a macro explanation of the whole procedure and a micro explanation of the constructed model and an explanation of the decisions made by the model. Application systems including Artificial Intelligence (AI) or Data Mining (DM) need reproducibility to ensure their reliability as scientific systems. For that purpose, it is important to illustrate the procedures of the system explicitly and abstractly (that is, macro explanations). This paper has scientific value in that it proposes a data model for that purpose and illustrates the possibility of macro explanations through one use case of social science. Scientists also need to provide evidence that the results obtained by AI or DM are valid. In other words, this paper also has scientific value in that it reveals how the features of the model and concrete grounds for judgment can be explained through two use cases of natural science.
Compare various Circuits Area Reduction using Genetic Algorithm and Hybrid Partitioning Algorithm

The Floor-planning will be the design flow of VLSI chip methodology. The physical design phases include virtual configuration realizations iterated to their effectiveness. For this persistence, the CAD algorithm provides an assortment of results contingent upon the requirements and determinations of designer. The utilization of tools of EDA assistance for imagining of impacts of the design methodologies on circuit execution and measurements of floor region possessed toward the design. It also utilizes a genetic algorithm (GA). The genetic algorithm has been executed and tested on popular standard issues. The evaluation outcomes indicate that GA might rapidly produce optimal results for all tested benchmark issues. The hybrid algorithm on circuit design is impact for applying the KL, FM (move based separation) algorithms to circuits and optimizing the cells of circuit utilizing HGA (hybrid genetic algorithm)is examined. The outcomes recommend this methodology on circuit gives extent to unify the physical design phases also enhance the physical design’s are a factor of a procedure.