Miracle-dz/UniFAR-FTUs huggingface dataset:
3D structure reconstruction from aerial imagery

In this paper, a novel method to estimate 3D structure of a building from low altitude aerial images is proposed. Our method is based on a convectional SfM (Structure from Motion) approach, but technical image acquisition and adaptive RANSAC optimization for F, P computation are used. The experimental result shows point cloud generation of a midrise building using images captured by a general commercial UAV.
Business Processes Retrieval based on Multimodal Search and Lingo Clustering Algorithm

This paper presents a model for searching and grouping of business process models. To search business process models, the model contains a module for multimodal indexing that takes into account textual and structural information of models. To group models, an adaptation of the Lingo algorithm was used; it is based on singular value decomposition and frequent phrases extracted from the description (textual and structural information) of the business process models retrieved according to a query. The evaluation of model was conducted by executing the search process on a closed test-collection built collaboratively, that containing 146 business process models, and comparing the results with a set of relevant business process models obtained from an evaluation issued by 59 experts. Measures of relevance such as graded precision and recall shown promising results in the search process, as well as the quality assessment of the sets formed by the grouping process.
Elementary Yet Precise Worst-case Analysis of MergeSort, A short version (SV)

This paper offers two elementary yet precise derivations of an exact formula \[ W(n) = \sum_{i=1} ^{n} \lceil \lg i \rceil = n \lceil \lg n \rceil - 2^{\lceil \lg n \rceil} + 1 \] for the maximum number $ W(n) $ of comparisons of keys performed by $ {\tt MergeSort} $ on an $ n $-element array. The first of the two, due to its structural regularity, is well worth carefully studying in its own right. Close smooth bounds on $ W(n) $ are derived. It seems interesting that $ W(n) $ is linear between the points $ n = 2^{\lfloor \lg n \rfloor} $ and it linearly interpolates its own lower bound $ n \lg n - n + 1 $ between these points.
Determination of optimal drying period in wet to dry weight ratio measurement.

Gravimetric methods are simple and reliable for evaluating the lung edema in ischemia reperfusion (IR) injury models (1). Wet to dry weight ratio (WDR) is the most frequently used gravimetric method in the literature. To determine WDR, the whole lung, lobes, or segments of peripheral lung are weighed after initial removal and dried in an oven at a constant temperature for a period (1). This drying period is not clear and ranges from 24 hours to two weeks in the literature (1-3). Our purpose was to determine the optimal drying period for this method in IR induced rat lung edema model.
Formal Verification of Controller Synthesis Based on Incompletely Specified Finite State Machine Model

The paper presents an inclusion relation which is used to verify the process of controller synthesis based on incompletely specified finite state machine model. State transition graph is adopted to describe the behavior of controller. State transition graph STG_org was abstract behavior description of controller synthesis generated before synthesized and state transition graph STGext was reversely extracted from structure realization of controller synthesis. If STG_org contains STGext then corresponding process of controller synthesis was correct. The paper gives a formal verification algorithm of controller synthesis with time complexity O(A<sub>1</sub>ldrA<sub>2</sub>ldrt<sub>2</sub> (m, n) + B<sub>1</sub>ldrB<sub>2</sub>ldrt<sub>1</sub> (n)) . In order to further improve time complexity of algorithm, a verifying algorithm with synthetic information guidance was proposed. The algorithm is proved efficient in theory for its time complexity is decreased to O(Cldr(B<sub>1</sub>ldrt<sub>1</sub>(n)+A<sub>1</sub>ldrt<sub>2</sub>(m, n))).
A simple Wilson orthonormal basis with exponential decay

Following a basic idea of Wilson [“Generalized Wannier functions,” preprint] orthonormal bases for $L^2 (\mathbb{R})$ which are a variation on the Gabor scheme are constructed. More precisely, $\phi \in L^2 (\mathbb{R})$ is constructed such that the $\psi _{ln } $, $l \in \mathbb{N}$, $n \in \mathbb{Z}$, defined by \[ \begin{gathered} \psi _{0n} (x) = \phi \left( {x - n} \right) \hfill \\ \psi _{in} (x) = \sqrt 2 \phi \left( {x - \frac{n} {2}} \right)\cos (2\pi lx)\,{\text{if}}\,l \ne 0,\,l + n \in 2\mathbb{Z} \hfill \\ = \sqrt 2 \phi \left( {x - \frac{n} {2}} \right)\sin (2\pi lx)\,{\text{if}}\,l \ne 0,\,l + n \in 2\mathbb{Z} + 1, \hfill \\ \end{gathered} \] constitute an orthonormal basis. Explicit examples are given in which both $\phi $ and its Fourier transform $\hat \phi $ have exponential decay. In the examples $\phi $ is constructed as an infinite superposition of modulated Gaussians, with coefficients that decrease exponentially fast. It is believed that such orthonormal bases could be useful in .
Combining Multiple Results of a Reverse‐Engineering Algorithm: Application to the DREAM Five‐Gene Network Challenge

The output of reverse‐engineering methods for biological networks is often not a single network prediction, but an ensemble of networks that are consistent with the experimentally measured data. In this paper, we consider the problem of combining the information contained within such an ensemble in order to (1) make more accurate network predictions and (2) estimate the reliability of these predictions. We review existing methods, discuss their limitations, and point out possible research directions toward more advanced methods for this purpose. The potential of considering ensembles of networks, rather than individual inferred networks, is demonstrated by showing how an ensemble voting method achieved winning performance on the Five‐Gene Network Challenge of the second DREAM conference (Dialogue on Reverse Engineering Assessments and Methods 2007, New York, NY).
Learning from Multiple Sources via Multiple Domain Relationship

Transfer learning extracts useful information from the related source domain and leverages it to promote the target learning. The effectiveness of the transfer was affected by the relationship among domains. In this paper, a novel multi-source transfer learning based on multisimilarity was proposed. The method could increase the chance of finding the sources closely related to the target to reduce the “negative transfer” and also import more knowledge from multiple sources for the target learning. The method explored the relationship between the sources and the target by multi-similarity metric. Then, the knowledge of the sources was transferred to the target based on the smoothness assumption, which enforced that the target classifier shares similar decision values with the relevant source classifiers on the unlabeled target samples. Experimental results demonstrate that the proposed method can more effectively enhance the learning performance. key words: transfer learning, multiple source transfer, domain similarity, manifold assumption
Keynote Talks: Requirements on E/E-system architecture for future car concepts - Example eMobility with project RACE

Fully automated driving and electromobility are promising approaches to address the challenges of mobility with regards to sustainability, urbanization and demographic change. However, both have high demands with regards to non-functiona l properties of the E/E architecture (in particular safety), and development efficiency, i.e. the time- and cost effective development, validation and deployment of new automotive functions. These can hardly be fulfilled with the existing architecture, which has resulted from 30 years of evolutionary development. We argue that new “revolutionary” approaches are needed, as addressed by the RACE project, a German initiative which had developed a new E/E platform from scratch. The goal was to use commodity processor and network technologies and to develop a platform providing fail-operational behavior using switched Ethernet, but also to allow “mixed criticality” and the update of even safety-critical SW in the field. We present both the approach and the results of the project and provide an outlook to future research directions.
Comprehensive effect assessment of medical nutrition guidance during pregnancy towards the health of mothers and children.

OBJECTIVE This study evaluates the effects of medical nutrition guidance provided to pregnant women to reduce pregnancy complications and occurrence of low birth-weight children and macrosomia. This guideline aims to provide the basis for improving birth delivery outcomes. MATERIALS AND METHODS A randomized controlled method was used. A total of 261 parturient women who enrolled in regular pregnancy testing were sampled and selected. The subjects were randomly divided into experimental group (EG, n = 124) and control group (CG, n = 132). The differences in maternal health, pregnancy outcomes, and newborn health between the two groups were compared. RESULTS Hypertensive disorders in pregnancy and gestational diabetes risks in EG were significantly lower than those in CG (p < 0.05). The cesarean section rate decreased (EG 36.29%, CG 51.50%), and the vaginal delivery rate increased (EG 63.71%, CG 51.50%). The incidence of macrosomia in EG was significantly lower than that in CG (p < 0.05). CONCLUSION Medical nutrition guidance during pregnancy improves the perinatal outcomes of mothers and children.
The complete mitochondrial genome of Hyattella sinuosa (Dictyoceratida: Spongiidae)

Abstract The mitochondrial genome of Hyattella sinuosa (Dictyoceratida: Spongiidae) is a circular molecule of 16,422 bp in length, containing 14 protein-coding genes, 2 ribosomal RNA genes, 2 transfer RNA genes(trnW and trnM) and 13 non-coding segments. All genes are distributed in the same strand (H-strand). The overall base composition of the H-strand is as follows: T (37.72%), C (11.27%), A (25.14%), G (25.86%), with GC- and AT-skew of 0.393 and −0.2, respectively, reflecting unbalanced base composition between the two strands. The non-coding regions are 1240 bp in total length, with high-AT content (73.72%). The current mitochondrial genome is identical to that of Hippospongia Lachne (Family Spongiidae) in gene order and contents, except for the absence of the repeat hairpin-forming element (RHE) in the non-coding regions.
Combined Damage to the Right Hemispheric Hand Area in the Primary Motor and Sensory Area Plays a Critical Role in Motor Hemineglect

Direct evidence of the anatomical localization of brain function is provided by functional neurological changes during awake surgery combined with data from preoperative functional magnetic resonance imaging and diffusion tensor imaging studies. The goal of the present study was to analyze the etiology and mechanism of motor hemineglect using these techniques. Of 29 patients with brain tumors within and near the primary motor area (M1) in whom awake surgery was employed from April 2004 through March 2007, 2 patients evinced motor hemineglect of the left hand during awake surgery. The brain tumors in these 2 cases alone were located just beside the hand area of M1 and the primary sensory area (S1) in the right hemisphere. In case 1, the U fibers that connected the areas activated by hand clenching in M1 with S1 were compressed by the brain tumor. These results suggest that the combination of damage to the right hemispheric hand area in M1 and S1 plays a critical role in the development of motor hemineglect.
How to Develop, Validate, and Compare Clinical Prediction Models Involving Radiological Parameters: Study Design and Statistical Methods

Clinical prediction models are developed to calculate estimates of the probability of the presence/occurrence or future course of a particular prognostic or diagnostic outcome from multiple clinical or non-clinical parameters. Radiologic imaging techniques are being developed for accurate detection and early diagnosis of disease, which will eventually affect patient outcomes. Hence, results obtained by radiological means, especially diagnostic imaging, are frequently incorporated into a clinical prediction model as important predictive parameters, and the performance of the prediction model may improve in both diagnostic and prognostic settings. This article explains in a conceptual manner the overall process of developing and validating a clinical prediction model involving radiological parameters in relation to the study design and statistical methods. Collection of a raw dataset; selection of an appropriate statistical model; predictor selection; evaluation of model performance using a calibration plot, Hosmer-Lemeshow test and c-index; internal and external validation; comparison of different models using c-index, net reclassification improvement, and integrated discrimination improvement; and a method to create an easy-to-use prediction score system will be addressed. This article may serve as a practical methodological reference for clinical researchers.
Revisit of Typical Counterclockwise Atrial Flutter Wave in the ECG: Electroanatomic Studies on the Determinants of the Morphology

Cavotricuspid isthmus‐dependent counterclockwise atrial flutter (typical AFL) is characterized by negative saw‐tooth morphology flutter wave (F‐wave) in the inferior leads, which is classified as type 1 with purely negative F‐wave without positive terminal deflection (PTD), type 2 with small PTD, and type 3 with broad PTD. The determinants of these morphological differences remain to be elucidated.
me=Perfluorooctanoic acid Re: Annex XV Restriction Report: Proposal for a Restriction for Perfluorooctanoic acid (PFOA), PFOA salts and PFOA-related substances (17 October 2014) To Whom It May Concern - The Global Industry Council for FluoroTechnology (FluoroCouncil) appreciates this opportunity to 

The FluoroCouncil is a global membership organization representing the world’s leading manufacturers of fluoropolymers, fluorotelomers, and other fluorinated surfactants and surface property modification agents. 1 The FluoroCouncil has a fundamental commitment to product stewardship and, as part of its mission, addresses science and public policy issues related to FluoroTechnology, including PFOA and related long-chain substances.
Software Prepromotion for Non-Uniform Cache Architecture

As a solution to growing global wire delay, non-uniform cache architecture (NUCA) has already been a trend in large cache designs. The access time of NUCA is determined by the distance between the cache bank containing the required data and the processor. Thus, one of the important NUCA researches focuses on how to place data to be used into cache banks close to the processor. This paper proposes software prepromotion technique, which prepromote data using prepromotion instructions as similar as software prefetching does. Besides the basic software prepromotion, this paper also proposes smart multihop software prepromotion (SMSP), very long software prepromotion (VLSP) and their combination technique. SMSP intelligently chooses cache banks which the prepromoted data most ideally suit to being moved into. And VLSP prepromote multiple data using one instruction. Finally, we evaluate our approaches by testing 7 kernel benchmarks on a full-system simulator. The basic software prepromotion gets an average improvement of 2.6893% in IPC. The SMSP improves IPC by 7.0928% averagely. And the VLSP gets an IPC improvement of 7.2194% averagely. Lastly, after combining the SMSP and VLSP, the average improvement in IPC achieves 11.8650%.
Comorbidity Between Reading Disability and Math Disability

Reading disability (RD) and math disability (MD) frequently co-occur, but the etiology of this comorbidity is not well understood. Groups with RD only (N = 241), MD only (N = 183), and RD + MD (N = 188) and a control group with neither disorder (N = 411) completed a battery of measures of internalizing and externalizing psychopathology, social and academic functioning, and 10 neuropsychological processes. Groups with RD only, MD only, and RD + MD were significantly impaired versus the control group on nearly all measures, and the group with RD + MD was more impaired than the groups with MD and RD alone on measures of internalizing psychopathology, academic functioning, and 7 of 10 neuropsychological constructs. Multiple regression analyses of the neuropsychological measures indicated that deficits in reading and math were associated with shared weaknesses in working memory, processing speed, and verbal comprehension. In contrast, reading difficulties were uniquely associated with weaknesses in phoneme awareness and naming speed, and math deficits were uniquely associated with weaknesses in set shifting. These results support multiple-deficit neuropsychological models of RD and MD and suggest that RD and MD are distinct but related disorders that co-occur because of shared neuropsychological weaknesses in working memory, processing speed, and verbal comprehension.
Absolute and relative energy costs of walking in a Brazilian adult probability sample.

BACKGROUND Walking is commonly recommended for enhancing energy expenditure (EE), a basic principle in weight management, and cardiorespiratory fitness. However, walking EE varies with characteristics of a given population, especially by sex and age. PURPOSE The study's purpose was to measure EE of walking as influenced by physical and physiological characteristics of a sample of adults (≥ 20 yr) living in Niterói, Rio de Janeiro, Brazil. METHODS Walking EE and HR were measured during a submaximal multistage treadmill test. The test stages lasted for 3 min each and started at a speed of 1.11 m·s(-1) and a grade of 0%. In the second stage, the grade was maintained at 0%, but the speed was increased to 1.56 m·s(-1) and maintained at this speed but with grade raised by 2.5% at each stage until 10% at stage 6. We measured resting oxygen consumption (MET m) before the test with the participants sitting quietly. RESULTS MET m (mL O2·kg(-1)·min(-1), mean ± SE) was lower both in women (2.85 ± 0.03) and in men (2.97 ± 0.04) by almost 19% and 15%, respectively, compared with the conventionally estimated MET (METe) of 3.5 mL O2·kg(-1)·min(-1). Walking EE for any given speed and grade had an absolute intensity, expressed as multiples of MET m or MET e, that was practically equal between sexes and age groups, but it incurred higher individual physiological demand or relative intensity for women and older adults. CONCLUSIONS Resting EE reflected by using METe is overestimated in the adult population of Niterói. Prescription of activities to counteract the existing worldwide obesity epidemic should be ideally based on individual physiological information, especially among women and older individuals.
Scientific method in practice

Foreword Preface 1. Introduction 2. Science in perspective 3. Science wars 4. Science's presuppositions 5. Deductive logic 6. Probability 7. Inductive logic and statistics 8. Parsimony and efficiency 9. Case studies 10. Science's powers and limits 11. Science education 12. Conclusions References.
Comparison of Multiple-Locus Variable-Number Tandem-Repeat Analysis with Pulsed-Field Gel Electrophoresis, spa Typing, and Multilocus Sequence Typing for Clonal Characterization of Staphylococcus aureus Isolates

ABSTRACT Multiple-locus variable-number tandem-repeat analysis (MLVA), a new PCR-based method of typing Staphylococcus aureus, was compared to pulsed-field gel electrophoresis (PFGE), spa typing, and multilocus sequence typing (MLST) on a group of 59 S. aureus (mostly methicillin-resistant) clinical isolates. The aim of the study was to establish possible criteria of clustering MLVA patterns and to check concordance levels between the results produced by MLVA and the three other typing methods. As in our earlier study, MLVA turned out to have discriminatory power similar to that of PFGE. Comparison of data obtained by the two approaches allowed us to propose a 70% or ca. 80% cutoff value of the similarity between two MLVA patterns, depending on a cutoff level applied to interpret the PFGE results, 75% or ca. 90%, respectively. The cutoff values corresponded to the difference of up to six or four bands, respectively, among maximum 14 bands in total produced by two isolates in the analysis. The MLVA clusters matched well those obtained by PFGE, and they were also consistent in general with clusters generated by spa typing and MLST, these latter methods characterized lower resolution. Our results suggest that MLVA may be reliable in shorter-term S. aureus epidemiological studies, including analyses of outbreaks and hospital-to-hospital strain transmission events. Well-known advantages of typing methods based on PCR (low cost, short time, and easiness of performance) make MLVA a method that may be useful in a variety of laboratories, including those performing routine microbiological analyses within medical centers.
O Uso de Simuladores Computacionais como Recurso Didático nas Aulas de Física: antes ou depois?

Este trabalho tem como objetivo verificar se o uso de um simulador de consumo de energia eletrica contribui mais para a aprendizagem dos alunos quando utilizado no inicio (ou seja, como instrumento problematizador) ou no final (ou seja, como instrumento de aplicacao do conhecimento) numa sequencia didatica. A sequencia didatica utilizada para tal tem como referencial teorico os momentos de aprendizagem propostos por Delizoicov. A metodologia de investigacao adotada baseia-se em uma pesquisa qualitativa, apoiada num estudo de caso envolvendo alunos da terceira serie do ensino medio de uma escola publica estadual de Guarulhos-SP. Os dados serao analisados por meio um teste de hipoteses juntamente com uma ficha de analise dos resultados obtidos. Os resultados parciais indicam que a utilizacao do simulador de consumo de energia eletrica potencializou o aprendizado dos alunos nos dois momentos avaliados.
Xyloglucans from Hymenaea courbaril var. stilbocarpa seeds affect Arabidopsis thaliana seedling growth by enhancing lateral root development

The effect of crude xyloglucan (XG) preparations from jatoba (Hymenaea courbaril var. stilbocarpa (Hayne) Y. T. Lee & Langenh. ) seeds on Arabidopsis thaliana (L.) Heynh. root system development was investigated. The XG extracts exerted a dual effect on root system development by slowing down root growth and improving lateral root formation. These observed morphological changes were not due to oligosaccharides that could be generated following hydrolysis of the XG polymers, since XG hydrolysate induced a drastic inhibition of the overall growth process of the Arabidopsis thaliana seedlings. Histochemical test of GUS gene expression assay performed on seven and 14-days-old transgenic Arabidopsis thaliana plants carrying the CycB1;1-GUS fusion indicated that the improvement of the lateral root development by jatoba XG extracts was not correlated with the expression of this cell cycle marker gene in the root system. A potential agricultural application of jatoba seeds XG extract is discussed.