Miracle-dz/UniFAR-FTUs huggingface dataset:
A Mismatch Elimination Method Based on Reverse Nearest Neighborhood and Influence Space

: To tackle the problem of usually high feature mismatching rate for the scene containing similar structures and repeated textures, a mismatch elimination method based on the reverse nearest neighborhood and influence space is proposed under the framework of clustering-based analysis. More specifically, after obtaining a tentative noisy set of matching candidates, a new feature matching dataset is built by making use of the global information, which could better represent the local similarity, the geometric and the motion consistencies between matching pairs. Then a new salable radius clustering method is designed to determine the clusters by combining the reverse nearest neighbors and influence space, by which outliers are deleted from the clusters and mismatches are effectively discarded. With the standard dataset DTU and ancient Chinese architectural dataset, the experimental results show that, the average precision, recall rate and F score of our method can over 90% compared with other feature matching method.
Procjena učinkovitosti robotike u neurorehabilitaciji gornjih ekstremiteta kod pacijenata nakon moždanog udara

Cilj: Analizirati učinkovitost primjene egzoskeletnog robotskog uređaja Armeo Power® (Hocoma, Švicarska) u rehabilitaciji ruke osoba s jednostranim motoričkim ispadom nakon moždanog udara. Ispitanici i metode: U istraživanje koje je provedeno na Zavodu za fizikalnu i rehabilitacijsku medicinu KBC-a Rijeka bilo je uključeno ukupno 20 ispitanika iz stacionarne rehabilitacije. Eksperimentalna skupina (n = 10) uz konvencionalnu terapiju tretirana je i na Armeo Power® uređaju (5 puta tjedno / 4 tjedna; 45 minuta po tretmanu). Istovremeno se kod kontrolne skupine (n = 10) provodila samo konvencionalna terapija. Konvencionalna terapija u objema skupinama bila je vremenski usklađena (5 puta tjedno / 4 tjedna; 45 minuta po tretmanu). Procjenjivale su se motorička funkcija, funkcionalna mjera neovisnosti te prosječno izvođenje i zadovoljstvo izvođenjem okupacije, a procjena se vršila kliničkim ocjenskim ljestvicama. Rezultati: Kod svih kliničkih parametara u ponovljenim mjerenjima zabilježeno je statistički značajno poboljšanje (P = 0,005). Usporedbom između skupina na kraju liječenja nije utvrđena statistički značajna razlika u mjerama motoričke funkcije na FMA (engl. Fugl-Meyer Assessment) skali (P = 0,120) niti funkcionalne neovisnosti na FIM (engl. Functional Independence Measure) skali (P = 0,762). Međutim, zbog značajno bolje motoričke funkcije eksperimentalne skupine na početku, teško je s velikim značajem promatrati usporedbu na kraju liječenja, barem kada je riječ o FMA. Statistički značajna razlika između skupina na kraju liječenja zabilježena je samo u rezultatima COPM-a (engl. Canadian Occupational Performance Measure) (prosječno izvođenje, P = 0,014; prosječno zadovoljstvo, P = 0,022). Zaključci: Dobiveni rezultati ukazuju da terapija uređajem Armeo Power u kombinaciji s konvencionalnom terapijom može poboljšati funkcionalni oporavak nakon moždanog udara, iako su potrebna daljnja istraživanja na većem broju bolesnika.
Angular Value Distribution of Power Series with Gaps

(1.2) £^-»0 as n^oo, n and if f(z) has infinite order, then every line is a line of Julia. Thus/(2) assumes in every angle every value with at most one exception infinitely often. This result has recently been extended by Anderson and Clunie ([1]) to functions of finite positive order. The case of zero order has remained open. Biernacki ([3]) has shown that if the indices nk, for which an # 0 satisfy the gap condition
Plane Fitting in 3D Reconstruction to Preserve Smooth Homogeneous Surfaces

Photogrammetric techniques for weakly-textured surfaces without sufficient information about the R (red), G (green) and B (blue) primary colors of light are challenging. Considering that most urban or indoor object surfaces follow simple geometric shapes, a novel method for reconstructing smooth homogeneous planar surfaces based on MVS (Multi-View Stereo) is proposed. The idea behind it is to extract enough features for the image description, and to refine the dense points generated by the depth values of pixels with plane fitting, to favor the alignment of the surface to the detected planes. The SIFT (Scale Invariant Feature Transform) and AKAZE (Accelerated-KAZE) feature extraction algorithms are combined to ensure robustness and help retrieve connections in small samples. The smoothness of the enclosed watertight Poisson surface can be enhanced by enforcing the 3D points to be projected onto the absolute planes detected by a RANSAC (Random Sample Consensus)-based approach. Experimental evaluations of both cloud-to-mesh comparisons in the per-vertex distances with the ground truth models and visual comparisons with a popular mesh filtering based post-processing method indicate that the proposed method can considerably retain the integrity and smoothness of the reconstruction results. Combined with other primitive fittings, the reconstruction extent of homogeneous surfaces can be further extended, serving as primitive models for 3D building reconstruction, and providing guidance for future works in photogrammetry and 3D surface reconstruction.
On consistency conditions for rotating turbulent flows

Consistency conditions for the prediction of turbulent flows in a rotating frame are examined. It is shown that the dissipation rate should vanish along with the eddy viscosity in the limit of rapid rotations. The latter result is also true when the eddy viscosity is anisotropic and formally follows from the explicit algebraic stress approximation as well as from a phenomenological treatment. The former result has been built into the modeled dissipation rate equation of recent turbulence models where the second result has been violated. In fact, some of these models have the eddy viscosity going to infinity while the dissipation rate vanishes, leading to an inconsistency. For consistency, both of these conditions must be satisfied. The implications of these results for turbulence modeling are thoroughly discussed.
Regularization Method for Discrete Mesh Points

: A regularization method for discrete mesh points based on binary tree structure is presented to solve the link chaos between mesh points in the structured sorting of the interface mesh. Firstly, the idea of the present regularization method is introduced in detail. The present method is based on the one-to-one mapping re-lationship between the binary tree structure and the structured mesh data and reconstructs the row and column information as well as obtains the structured sorting of mesh points by creating the binary tree model of the mesh data. Then, the detailed procedure of regularizing the binary tree model is described, including mesh point classification, root node creation, child nodes addition and so on. Finally, the binary tree model is trav-ersed layer by layer to obtain the sorted structured mesh points. The numerical experimental results on mesh data with different configurations, sizes and ranks show that the present regularization method has good adaptability and high robustness. Moreover, the method also indicates excellent efficiency in the structured sorting of interface mesh used in industrial cases.
Comparison of pulmonary ultrasound aspects of dairy calves born from a normal or dystocic parturition

Ultrasound has relatively low use in the veterinary practice of cattle, especially in the diagnosis of respiratory diseases. There is little information on imaging patterns and occurrence of these diseases in calves from dystocic parturition, especially in the ability to diagnose the subclinical respiratory diseases. The correct clinical diagnosis aims to support efficient growth and expression of genetic potential for the replacer calves. Eighteen Holstein calves, five of which did not require assistance during birth and thirteen calves from dystocic parturition had the respiratory system evaluated by ultrasound. The objective was to describe and compare the pulmonary ultrasound aspects of calves from dystocic parturitions, compared to calves born without any aid. The degree of dystocia was classified on a scale from 1 to 5 points and the categorization of ultrasound images considered the presence or absence of pulmonary lesions. The ultrasound examination was able to diagnose animals affected with BRD in a subclinical manifestation, considering that none of the animals that presented pulmonary consolidation showed clinical signs of respiratory diseases. All cows with dystocia were classified as grade 2 dystocic parturition. There was no correlation between normal delivery (grade 1) and mild dystocia (grade 2) and occurrence of pulmonary consolidation.
Developing an FASD Health Promotion Social Media Campaign Using Community-Based Participatory Peer Review: Notes From Atlantic Canada

Introduction: Health promotion awareness activities by health agencies, such as those by the Public Health Agency of Canada, aim to increase health literacy, often using social media campaigns to reach large audiences. Objectives: The objective of this research was to explore how community peer-reviewed social media content can facilitate the reach of health promotion campaigns, with specific regard to awareness around fetal alcohol spectrum disorder (FASD), alcohol, and pregnancy in Atlantic Canada. Methods: We developed a health promotion social media campaign consisting of 16 digital posters, then implemented a community-based participatory peer-review process to request input and feedback from individuals with lived experiences, caregivers, professionals who work with individuals with FASD, and various advocates for FASD throughout Atlantic Canada. Reviewer comments were then directly applied to update poster content, which was redistributed for secondary approval before circulation on Facebook and Instagram. Results: Reviewer feedback was constructive, with various suggestions for updates being applied to images and text choices. Once posted, the health promotion campaign was well received and reached over half a million viewers across the two platforms in the first three months. Engagement and interactions were overall positive, with minimal negative responses and only one post flagged by the platform as a social issue advertisement. Discussion/Conclusion: With the inclusion of diverse voices from the FASD community in the co-creation of the content, we argue that the campaign’s style, messaging, and language more accurately reflected the intended audiences and was made accessible to a wider demographic, thus strengthening awareness and prevention messages. We explore a health promotion social media campaign development process, providing valuable examples of how to encourage and create more safe spaces that promote open conversations about health and gradually dismantle outdated ideas and systems so we can begin addressing stigma by delivering accurate, non-judgmental health information.
Magnetic pressure and shape of ferrofluid seals in cylindrical structures

This paper presents a three-dimensional analytical model for studying the shape and the pressure of ferrofluid seals in totally ironless structures. This three-dimensional analytical approach is based on the exact calculation of the magnetic field components created by ring permanent magnets whose polarizations are either radial or axial. We assume that the ferromagnetic particles of the ferrofluid are saturated. Moreover, the permanent magnets (neodymium iron boron) used in the considered applications create a magnetic field which is much higher than the magnetic field created by the magnetic particles in the ferrofluid so the latter is neglected. Nevertheless, the static behavior of the ferrofluid seal depends on both the magnetic field produced by the permanent magnets and the saturation magnetization of the ferrofluid particles. Furthermore, the accurate knowledge of the ferrofluid seal shape as well as the magnetic pressure inside the ferrofluid seal is very useful for the design of devices using bot.
Dye-Sensitized Solar Cells with Conversion Efficiency of 11.1%

Dye-sensitized solar cells (DSCs) using titanium dioxide (TiO2) electrodes with different haze were investigated. It was found that the incident photon to current efficiency (IPCE) of DSCs increases with increase in the haze of the TiO2 electrodes, especially in the near infrared wavelength region. Conversion efficiency of 11.1%, measured by a public test center, was achieved using high haze TiO2 electrodes. This indicates that raising the haze of TiO2 electrodes is an effective technique for improvement of conversion efficiency.
On extended partially linear single-index models

Aiming to explore the relation between the response y and the stochastic explanatory vector variable X beyond the linear approximation, we consider the single-index model, which is a well-known approach in multidimensional cases. Specifically, we extend the partially linear single-index model to take the form y = β 0 T X + o(0 0 T X) + e, where e is a random variable with Ee = 0 and var(e) = σ 2 , unknown, β 0 and θ o are unknown parametric vectors and o(.) is an unknown real function. The model is also applicable to nonlinear time series analysis. In this paper, we propose a procedure to estimate the model and prove some related asymptotic results. Both simulated and real data are used to illustrate the results.
The Effect of Brand Awareness, Brand Image and Trust On Consumer Buying Interest

This study is to analyze the effect of brand awareness , brand image and trust on consumer repurchase intention of PT Astra International Isuzu Warung Buncit Branch. The object of this research is Isuzu truck customers who have bought at least 2 times. Determination of sample size using the formula Hair et al., so that the sample used is 150 people. The research method used is quantitative research and the data analysis method used is PLS ( Partial Least Square) technique through SmartPLS 3.2. 9 software, using survey method, with research instrument is a questionnaire. This study proves that brand awareness has a negative effect with a value of -0.147 and is not significant on consumer repurchase interest with a T-statistic value of 1.283. Brand image has a positive and significant effect on consumer repurchase interest and trust has a positive and significant effect on consumer repurchase interest.
Association between Abnormal Antenatal Doppler Characteristics and Gastrointestinal Outcomes in Preterm Infants

Antenatal Doppler disturbances are associated with fetal hypoxia and may induce a brain-sparing vascular redistribution at the expense of splanchnic circulation, possibly predisposing to gut complications. We aimed to compare several gastrointestinal outcomes among very-low-birthweight (VLBW) preterm infants with different antenatal Doppler features. VLBW infants born between 2010–2022 were retrospectively included and stratified into the following clusters based on antenatal Doppler characteristics: normal Doppler (controls); absent or reversed end-diastolic flow in the umbilical artery (UA-AREDF) alone or also in the ductus venosus (UA+DV-AREDF); and abnormal Doppler with or without brain-sparing redistribution. The following outcomes were evaluated: time to reach full enteral feeds (FEF), feeding intolerance (FI), necrotizing enterocolitis (NEC), and spontaneous intestinal perforation (SIP). Overall, 570 infants were included. Infants born following UA+DV-AREDF had significantly higher FI, NEC, and SIP rates and achieved FEF later compared to controls. Increased FI prevalence and a longer time to FEF compared to controls were also observed among UA-AREDF infants and in the presence of brain-sparing redistribution, which also increased NEC rates. Antenatal Doppler abnormalities exacerbate the gastrointestinal risks of preterm infants. Detailed knowledge of Doppler features can aid in identifying those at highest risk of intestinal complications who may benefit from tailored enteral feeding management.
Learning and Application of Feedback Path Database for Feedback Control in Hearing Aids

State-of-the-art feedback control systems make use of adaptive filters to model and compensate for the acoustic feedback paths, which vary in different acoustic situations. In a hearing aid application, the acoustic feedback paths are user dependent and vary over time. Although there are repeatable patterns in these variations, it remains to be seen that modern feedback control systems actively learn from and then use these patterns to improve the adaptive filter performance. In this letter, we present a new idea of learning and storing acoustic feedback paths as hearing aid users wear their hearing aids, and then to apply these learned and stored acoustic feedback paths to control and support the adaptive filter updates, thereby to achieve significantly improved feedback control performance.
Probabilistic Swarm Guidance using Inhomogeneous Markov Chains

Probabilistic swarm guidance involves designing a Markov chain so that each autonomous agent or robot determines its own trajectory in a statistically independent manner. The swarm converges to the desired formation and the agents repair the formation even if it is externally damaged. In this paper, we present an inhomogeneous Markov chain approach to probabilistic swarm guidance algorithms for minimizing the number of transitions required for achieving the desired formation and then maintaining it. With the help of communication with neighboring agents, each agent estimates the current swarm distribution and computes the tuning parameter which is the Hellinger distance between the current swarm distribution and the desired formation. We design a family of Markov transition matrices for a desired stationary distribution, where the tuning parameter dictates the number of transitions. We discuss methods for handling motion constraints and prove the convergence and the stability guarantees of the proposed algorithms. Finally, we apply these proposed algorithms for guidance and motion planning of swarms of spacecraft in Earth orbit.
On the Jeffreys-Lindley Paradox

This article discusses the dual interpretation of the Jeffreys-Lindley paradox associated with Bayesian posterior probabilities and Bayes factors, both as a differentiation between frequentist and Bayesian statistics and as a pointer to the difficulty of using improper priors while testing. I stress the considerable impact of this paradox on the foundations of both classical and Bayesian statistics. While assessing existing resolutions of the paradox, I focus on a critical viewpoint of the paradox discussed by Spanos in Philosophy of Science.
Numerical simulations of unsteady crystal growth

An efficient algorithm is developed to numerically compute solutions of problems related to crystal growth. The method is based on an integral equation formulation that involves an integration over the entire history of the growth. A direct calculation of this memory integral becomes more costly as time increases, but an indirect method is presented that has a fixed operation cost per timestep. The one-dimensional procedure is tested and applied to the problem of rapid directional solidification where the nonlinear development of a recently discovered oscillatory instability is followed.
Elastic properties of diffusion-limited aggregates

A transfer matrix method has been used to investigate the power law dependence of the effective elastic moduli of a two-dimensional diffusion-limited aggregate on the size I of the aggregate. Scaling exponents have been found to depend on the type of applied deformation. For stretching along the direction of growth the elastic modulus scales as , while for deformations in the direction perpendicular to the direction of growth 1-2 2+0 2
Tungsten nanowires and their field electron emission properties

We report the fabrication of tungsten nanowires, by simple thermal treatment of W films, that behave as self-catalytic layers and their excellent electron field emission properties as well. The obtained nanowires have a diameter ranging from 10 to 50 nm, showing perfect straightness and neat appearance. Typical turn-on field for the electron emission is about 5 V/μm, and the field enhancement factor β becomes 38 256, which is very close to that of the high efficient single-wall carbon nanotube emitters. The most exciting result is the possibility of easy fabrication of perfectly straight nanowires as promising building blocks for terabit-level interconnection and nanomachine components without the intentional use of any heterogeneous catalysts.
Bulbar projecting subcortical GABAergic neurons send collateral branches extensively and selectively to primary olfactory cortical regions

Circuit operations of the olfactory bulb are modulated by higher order projections from multiple regions, many of which are themselves targets of bulbar output. Multiple glutamatergic regions project to the olfactory bulb, including the anterior olfactory nucleus (AON), prefrontal cortex (PFC), piriform cortex (PC), entorhinal cortex (EC), and tenia tecta (TT). In contrast, only one region provides GABAergic projections to the bulb. These GABA neurons are located in the horizontal limb of the diagonal band of Broca extending posteriorly through the magnocellular preoptic nucleus to the nucleus of the lateral olfactory bulb. However, it was unclear whether bulbar projecting GABAergic neurons collaterallize projecting to other brain regions. To address this, we mapped collateral projections from bulbar projecting GABAergic neurons using intersectional strategies of viral and traditional tract tracers. This approach revealed bulbar projecting GABAergic neurons show remarkable specificity targeting other primary olfactory cortical regions exhibiting abundant collateral projections into the accessory olfactory bulb, AON, PFC, PC, and TT. The only "nonolfactory" region receiving collateral projections was sparse connectivity to the medial prefrontal orbital cortex. This suggests that basal forebrain inhibitory feedback also modulates glutamatergic feedback areas that are themselves prominent bulbar projection regions. Thus, inhibitory feedback may be simultaneously modulating both synaptic processing of olfactory information in the bulb and associational processing of olfactory information from primary olfactory cortex. We hypothesize that these olfactory GABAergic feedback neurons are a regulator of the entire olfactory system.
BACE2: A Promising Neuroprotective Candidate for Alzheimer’s Disease

Alzheimer’s disease (AD) is the most common cause of dementia that affects millions of predominantly elderly individuals worldwide. Despite intensive research over several decades, controversies still surround the etiology of AD and the disease remains incurable. Meanwhile, new molecular players of the central amyloid cascade hypothesis have emerged and among these is a protease known as β-site APP cleavage enzyme 2 (BACE2). Unlike BACE1, BACE2 cleaves the amyloid-β protein precursor within the Aβ domain that accordingly prevents the generation of Aβ42 peptides, the aggregation of which is commonly regarded as the toxic entity that drives neurodegeneration in AD. Given this non-amyloidogenic role of BACE2, it is attractive to position BACE2 as a therapeutic target for AD. Indeed, several groups including ours have demonstrated a neuroprotective role for BACE2 in AD. In this review, we discuss emerging evidence supporting the ability of BACE2 in mitigating AD-associated pathology in various experimental systems including human pluripotent stem cell-derived cerebral organoid disease models. Alongside this, we also provide an update on the identification of single nucleotide polymorphisms occurring in the BACE2 gene that are linked to increased risk and earlier disease onset in the general population. In particular, we highlight a recently identified point mutation on BACE2 that apparently leads to sporadic early-onset AD. We believe that a better understanding of the role of BACE2 in AD would provide new insights for the development of viable therapeutic strategies for individuals with dementia.