Miracle-dz/UniFAR-FTUs huggingface dataset:
T‐cell receptor‐δ expression and γδ+ T‐cell infiltrates in primary cutaneous γδ T‐cell lymphoma and other cutaneous T‐cell lymphoproliferative disorders

The diagnosis of cutaneous γδ T‐cell lymphoma (GDTCL) requires the identification of γδ chains of the T‐cell receptor (TCR). Our aim in this study was, by using a new monoclonal antibody (mAb) against TCRδ, to evaluate TCRδ expression in formalin‐fixed paraffin‐embedded (FFPE) skin tissue from TCRγ+ cutaneous T‐cell lymphoma (CTCL), and to assess TCRδ expression within a spectrum of other cutaneous lymphoproliferative disorders (CLPDs).
An Improved Strong Tracking Cubature Kalman Filter for GPS/INS Integrated Navigation Systems

The cubature Kalman filter (CKF) is widely used in the application of GPS/INS integrated navigation systems. However, its performance may decline in accuracy and even diverge in the presence of process uncertainties. To solve the problem, a new algorithm named improved strong tracking seventh-degree spherical simplex-radial cubature Kalman filter (IST-7thSSRCKF) is proposed in this paper. In the proposed algorithm, the effect of process uncertainty is mitigated by using the improved strong tracking Kalman filter technique, in which the hypothesis testing method is adopted to identify the process uncertainty and the prior state estimate covariance in the CKF is further modified online according to the change in vehicle dynamics. In addition, a new seventh-degree spherical simplex-radial rule is employed to further improve the estimation accuracy of the strong tracking cubature Kalman filter. In this way, the proposed comprehensive algorithm integrates the advantage of 7thSSRCKF’s high accuracy and strong tracking filter’s strong robustness against process uncertainties. The GPS/INS integrated navigation problem with significant dynamic model errors is utilized to validate the performance of proposed IST-7thSSRCKF. Results demonstrate that the improved strong tracking cubature Kalman filter can achieve higher accuracy than the existing CKF and ST-CKF, and is more robust for the GPS/INS integrated navigation system.
Towards modelling privacy risks in geo-social networks

“Social privacy” concerns how individuals manage selfdisclosure, availability, and access to information about themselves by other people when using social-driven applications. To manage social privacy, one needs to understand the level of threat implied by his information disclosure and be able to relate it to the scope of visibility granted for this information. This paper argues that the risk to personal privacy comes from the implicit information embedded in the relationships between the different elements of data collected on these networks. A proposal is made to explicitly represent such relationships and use them to model the level of threat to personal privacy on these networks. Exposure of this information will enable users to be aware of their own data and to make informed decisions on their sharing behaviour online. Keywords–Location Privacy; Geo-Social Networks; User Profiles.
Correlation of proliferative index with various clinicopathologic prognostic parameters in primary breast carcinoma: A study from North India

Aim: Routine assessment of cell proliferation is recommended in the pathologic evaluation for all breast cancers. Considering the poor reproducibility and interobserver variability in mitotic counts, Ki-67 is an easily available and reliable substitute for mitotic counts and has been shown to have a significant relationship with the histologic grade of malignancy and the mitotic activity of tumors. Our study aimed at exploring Ki-67 expression and studying its correlation with other established prognostic parameters. Materials and Methods: Seventy-five cases of primary breast cancer undergoing radical or modified radical mastectomy constituted the study group. Estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2)/neu, and Ki-67 was assessed in each case. Ki-67 labeling index (Ki-67-LI) was estimated as the number of positive nuclei divided by total number of nuclei scanned counting a minimum of 1000 cells in 10 selected high power fields that displayed the highest immunoreactivity and was expressed as percentage. Ki-67 expression was correlated with various clinicopathologic prognostic parameters including age, tumor size, tumor type, axillary lymph node status, and histologic tumor grade. Results: A statistically significant direct association was observed between Ki-67-LI and tumor size, histologic grade and Nottingham prognostic index. A statistically significant inverse association was observed between Ki-67-LI and ER and PR expression. However, no association was observed between Ki-67-LI and menopausal status, lymph node involvement and HER2/neu expression. Conclusion: Based on our results, we concluded that modified Bloom–Richardson (MBR) grading has been recognized as a treatment related indicator. The accuracy and reliability in grading have always been a matter of concern, hence, the reproducibility of grading should be enhanced. Ki-67-a proliferation marker is easily identified and provides comparable accurate information. In contrast to poor reproducibility of mitotic counts, Ki-67 can achieve high agreement between pathologists; is more reproducible; adds complementary value to the MBR grading system and correlates well with other clinicopathologic parameters. It may act as a significant prognostic indicator for routine clinical use and be helpful for selection of adjuvant treatment. It can also add value in categorizing Grade II tumors into two prognostic subgroups with prognosis equivalent to Grades I and III, respectively.
Registered Temporal Point Process Intensity function Original timeline and realizations Warped idiosyncratic observations Warping function 1 Warping function 2 Warping function 3

A parametric point process model is developed, with modeling based on the assumption that sequential observations often share latent phenomena, while also possessing idiosyncratic effects. An alternating optimization method is proposed to learn a “registered” point process that accounts for shared structure, as well as “warping” functions that characterize idiosyncratic aspects of each observed sequence. Under reasonable constraints, in each iteration we update the sample-specific warping functions by solving a set of constrained nonlinear programming problems in parallel, and update the model by maximum likelihood estimation. The justifiability, complexity and robustness of the proposed method are investigated in detail, and the influence of sequence stitching on the learning results is discussed empirically. Experiments on both synthetic and real-world data demonstrate that the method yields explainable point process models, achieving encouraging results compared to state-of-the-art methods.
TRABALHO COLABORATIVO NO 1° CICLO: SUPORTE PERCEBIDO E REGULAÇÃO PARTILHADA

Resumo A regulação partilhada é um elemento essencial na aprendizagem colaborativa e os trabalhos de grupo representam boas oportunidades para que o indivíduo possa desenvolver competências autorregulatórias por meio de interações com os outros. O presente estudo procurou compreender de que forma os alunos percecionam a regulação partilhada em trabalhos de grupo e como se apoiam enquanto equipa na regulação das tarefas e na resolução de problemas. Participaram do estudo 251 alunos de 3º e 4º ano do 1º ciclo do ensino básico. Os resultados mostraram que os alunos identificam facilitadores e não facilitadores na regulação partilhada da tarefa, tendo o suporte do grupo um papel relevante como facilitador. Discutem-se implicações práticas assim como as limitações do estudo.
Evaluation of the Impact of Ambient Temperatures on Occupational Injuries in Spain

Background: Extreme cold and heat have been linked to an increased risk of occupational injuries. However, the evidence is still limited to a small number of studies of people with relatively few injuries and with a limited geographic extent, and the corresponding economic effect has not been studied in detail. Objectives: We assessed the relationship between ambient temperatures and occupational injuries in Spain along with its economic effect. Methods: The daily number of occupational injuries that caused at least one day of leave and the daily maximum temperature were obtained for each Spanish province for the years 1994–2013. We estimated temperature–injuries associations with distributed lag nonlinear models, and then pooled the results using a multivariate meta-regression model. We calculated the number of injuries attributable to cold and heat, the corresponding workdays lost, and the resulting economic effect. Results: The study included 15,992,310 occupational injuries. Overall, 2.72% [95% confidence interval (CI): 2.44–2.97] of all occupational injuries were attributed to nonoptimal ambient temperatures, with moderate heat accounting for the highest fraction. This finding corresponds to an estimated 0.67 million (95% CI: 0.60–0.73) person-days of work lost every year in Spain due to temperature, or an annual average of 42 d per 1,000 workers. The estimated annual economic burden is €370 million, or 0.03% of Spain’s GDP (€2,015). Conclusions: Our findings suggest that extreme ambient temperatures increased the risk of occupational injuries, with substantial estimated health and economic costs. These results call for public health interventions to protect workers in the context of climate change. https://doi.org/10.1289/EHP2590
Experimental Demonstration of Low-Uncertainty Calibration Methods for Bragg Grating Interrogators

In this paper we propose and demonstrate two alternative methods for the high-precision calibration of fiber Bragg grating (FBG) interrogators. The first method is based on the direct comparison between the wavelength measurements of the interrogator under test and a calibrated wavemeter, while analyzing a simulated symmetric Bragg grating constructed by a tunable filter and a fiber mirror. This first method is applicable to most commercial systems but presents an uncertainty limited by the spectral width and the wavelength stability of the tunable filter. The second method consists in measuring multiple reference absorption lines of calibrated absorption gas cells. This second method presents lower uncertainties, limited only by the optical resolution of the interrogator and the wavelength uncertainty of the reference cell absorption lines. However, it imposes more restrictive requirements on the interrogator software. Both methods were experimentally demonstrated by calibrating multiple commercial systems, reaching uncertainties down to 0.63 pm at a central wavelength of 1550 nm.
Pole-Zero Fitting for Transfer Function of Hearing-Aid Receiver: Evidence-Based Review

The hearing-aid transducer is ubiquitous in the hearing-aid industry. For example, the balanced armature receiver (BAR), first invented by A.G. Bell, has been used in all telephone earphones because it has the highest output and best frequency response. Nevertheless, previous electro-mechanical studies on these miniature speakers are quite primitive, given the price of the transducers. Thus, more detailed analysis is critically important for the field of hearing science. This review study was motivated by Hunt’s parameter calibration (1954), a widely used commercial hearing-aid receiver (ED series, manufactured by Knowles Electronics, Inc.). In the body of the study, the transfer function of the BAR system (i.e., pressure over voltage) was calculated from Hunt’s parameters, solely from the electrical terminals of the device. The computed transfer function was then further investigated by comparing to the pole-zero fitting method using the methods of Gustavsen and Semlyen (1999) and Prony (1975). Based on our short experiment, the better fitting result was achieved with Gustavsen and Semlyen’s method. By decomposing results of the transfer function fitting into all-pass and minimum-phase parts, the system was confirmed as a delay system. We conclude that the BAR system is linear, time-invariant, stable, and causal while providing an evidence-based understanding of the hearing-aid receiver system.
NOx instrument intercomparison for laboratory biomass burning source studies and urban ambient measurements in Albuquerque, New Mexico

ABSTRACT Understanding nitrogen oxides (NOx = NO + NO2) measurement techniques is important as air-quality standards become more stringent, important sources change, and instrumentation develops. NOx observations are compared in two environments: source testing from the combustion of Southwestern biomass fuels, and urban, ambient NOx. The latter occurred in the urban core of Albuquerque, NM, at an EPA NCORE site during February–March 2017, a relatively clean photochemical environment with ozone (O3) <60 ppb for all but 6 hr. We compare two techniques used to measure NOx in biomass smoke during biomass burning source testing: light absorption at 405 nm and a traditional chemiluminescence monitor. Two additional oxides of nitrogen techniques were added in urban measurements: a cavity attenuated phase shift instrument for direct NO2, and the NOy chemiluminescence instrument (conversion of NOy to NO by molybdenum catalyst). We find agreement similar to laboratory standards for NOx, NO2, and NO comparing all four instruments (R2 > 0.97, slopes between 0.95 and 1.01, intercepts < 2 ppb for 1-hr averages) in the slowly varying ambient setting. Little evidence for significant interferences in NO2 measurements was observed in comparing techniques in late-winter urban Albuquerque. This was also confirmed by negligible NOz contributions as measured with an NOy instrument. For the rapidly varying (1-min) higher NOx concentrations in biomass smoke source testing, larger variability characterized chemiluminescence and absorption instruments. Differences between the two instruments were both positive and negative and occurred for total NOx, NO, and NO2. Nonetheless, integrating the NOx signals over an entire burn experiment and comparing 95 combustion experiments, showed little evidence for large systematic influences of possible interfering species biasing the methods. For concentrations of <2 ppm, a comparison of burn integrated NOx, NO2, and NO yielded slopes of 0.94 to 0.96, R2 of 0.83 to 0.93, and intercepts of 8 to 25 ppb. We attribute the latter, at least in part, to significant noise particularly at low NOx concentrations, resulting from short averaging times during highly dynamic lab burns. Discrepancies between instruments as indicated by the intercepts urge caution with oxides of nitrogen measurements at concentrations <50 ppb for rapidly changing conditions. Implications: Multiple NOx measurement methods were employed to measure NOx concentrations at an EPA NCORE site in Albuquerque, NM, and in smoke produced by the combustion of Southwestern biomass fuels. Agreement shown during intercomparison of these NOx techniques indicated little evidence of significant interfering species biasing the methods in these two environments. Instrument agreement is important to understand for accurately characterizing ambient NOx conditions in a range of environments.
Motion artifacts in standard clinical setting obscure disease-specific differences in quantitative susceptibility mapping

As quantitative susceptibility mapping (QSM) is maturing, more clinical applications are being explored. With this comes the question whether QSM is sufficiently robust and reproducible to be directly used in a clinical setting where patients are possibly not cooperative and/or unable to suppress involuntary movements sufficiently. Twenty-nine patients with Alzheimer’s disease, 31 patients with mild cognitive impairment and 41 healthy controls were scanned on a 3 T scanner, including a multi-echo gradient-echo sequence for QSM and an inversion-prepared segmented gradient-echo sequence (T1-TFE, MPRAGE). The severity of motion artifacts (excessive/strong/noticeable/invisible) was categorized via visual inspection by two independent raters. Quantitative susceptibility was reconstructed using ‘joint background-field removal and segmentation-enhanced dipole inversion’, based on segmented subcortical gray-matter regions, as well as using ‘morphology enabled dipole inversion’. Statistical analysis of the susceptibility maps was performed per region. A large fraction of the data showed motion artifacts, visible in both magnitude images and susceptibility maps. No statistically significant susceptibility differences were found between groups including motion-affected data. Considering only subjects without visible motion, significant susceptibility differences were observed in caudate nucleus as well as in putamen. Motion-effects can obscure statistically significant differences in QSM between patients and controls. Additional measures to restrict and/or compensate for subject motion should be taken for QSM in standard clinical settings to avoid risk of false findings.
Robust video super-resolution with registration efficiency adaptation

Super-Resolution (SR) is a technique to construct a high-resolution (HR) frame by fusing a group of low-resolution (LR) frames describing the same scene. The effectiveness of the conventional super-resolution techniques, when applied on video sequences, strongly relies on the efficiency of motion alignment achieved by image registration. Unfortunately, such efficiency is limited by the motion complexity in the video and the capability of adopted motion model. In image regions with severe registration errors, annoying artifacts usually appear in the produced super-resolution video. This paper proposes a robust video super-resolution technique that adapts itself to the spatially-varying registration efficiency. The reliability of each reference pixel is measured by the corresponding registration error and incorporated into the optimization objective function of SR reconstruction. This makes the SR reconstruction highly immune to the registration errors, as outliers with higher registration errors are assigned lower weights in the objective function. In particular, we carefully design a mechanism to assign weights according to registration errors. The proposed superresolution scheme has been tested with various video sequences and experimental results clearly demonstrate the effectiveness of the proposed method.
Automatic detection method of lung cancers including ground-glass opacities from chest x-ray CT images

In this paper, we described an algorithm of automatic detection of ground glass opacities (GGO) from X-ray CT images. In this algorithm, at first, pathological shadow candidates are extracted by our variable N-Quoit filter which is a kind of mathematical morphology filter. Next, shadow candidates are classified into some classes using feature values calculated from the shadow candidates. By using discriminate functions, at last, shadow candidates are discriminated between normal shadows and abnormal ones. This method was examined by 38 samples (including GGO's shadows) of chest CT images, and proved to be very effective.
How Curiosity can be modeled for a Clickbait Detector

The impact of continually evolving digital technologies and the proliferation of communications and content has now been widely acknowledged to be central to understanding our world. What is less acknowledged is that this is based on the successful arousing of curiosity both at the collective and individual levels. Advertisers, communication professionals and news editors are in constant competition to capture attention of the digital population perennially shifty and distracted. This paper, tries to understand how curiosity works in the digital world by attempting the first ever work done on quantifying human curiosity, basing itself on various theories drawn from humanities and social sciences. Curious communication pushes people to spot, read and click the message from their social feed or any other form of online presentation. Our approach focuses on measuring the strength of the stimulus to generate reader curiosity by using unsupervised and supervised machine learning algorithms, but is also informed by philosophical, psychological, neural and cognitive studies on this topic. Manually annotated news headlines - clickbaits - have been selected for the study, which are known to have drawn huge reader response. A binary classifier was developed based on human curiosity (unlike the work done so far using words and other linguistic features). Our classifier shows an accuracy of 97% . This work is part of the research in computational humanities on digital politics quantifying the emotions of curiosity and outrage on digital media.
To Move or Not to Move? Functional Role of Ventral Premotor Cortex in Motor Monitoring During Limb Immobilization

Anatomo-clinical evidence from motor-awareness disorders after brain-damages suggests that the premotor cortex (PMC) is involved in motor-monitoring of voluntary actions. Indeed, PMC lesions prevent patients from detecting the mismatch between intended, but not executed, movements with the paralyzed limb. This functional magnetic resonance imaging study compared, in healthy subjects, free movements against blocked movements, precluded by a cast. Cast-related corticospinal excitability changes were investigated by using transcranial magnetic stimulation. Immediately after the immobilization, when the cast prevented the execution of left-hand movements, the contralateral right (ventral) vPMC showed both increased hemodynamic activity and increased functional connectivity with the hand area in the right somatosensory cortex, suggesting a vPMC involvement in detecting the mismatch between planned and executed movements. Crucially, after 1 week of immobilization, when the motor system had likely learned that no movement could be executed and, therefore, predictions about motor consequences were changed, vPMC did not show the enhanced activity as if no incongruence has to be detected. This can be interpreted as a consequence of the plastic changes induced by long-lasting immobilization, as also proved by the cast-related corticospinal excitability modulation in our subjects. The present findings highlight the crucial role of vPMC in the anatomo-functional network generating the human motor-awareness.
A semi-automatic multi-view depth estimation method

In this paper, we propose a semi-automatic depth estimation algorithm whereby the user defines object depth boundaries and disparity initialization. Automatic depth estimation methods generally have difficulty to obtain good depth results around object edges and in areas with low texture. The goal of our method is to improve the depth in these areas and reduce view synthesis artifacts in Depth Image Based Rendering. Good view synthesis quality is very important in applications such as 3DTV and Free-viewpoint Television (FTV). In our proposed method, initial disparity values for smooth areas can be input through a so-called manual disparity map, and depth boundaries are defined by a manually created edge map which can be supplied for one or multiple frames. For evaluation we used MPEG multi-view videos and we demonstrate our algorithm can significantly improve the depth maps and reduce view synthesis artifacts.