Miracle-dz/UniFAR-FTUs huggingface dataset:
A simulation study of bivariate Wiener process models for an observable marker and latent health status

Threshold regression is a relatively new model for time to event data in which the health status of a subject is modeled using an unobservable stochastic process which fails once it reaches a threshold. In addition to being a conceptually appealing model, threshold regression does not require the proportional hazards assumption of the Cox model. In clinical trials, biomarkers of disease are commonly measured along with time to an event (e.g., disease onset or death). A few authors have proposed bivariate Wiener process models for an observable marker and the latent health status [13, 31]. We conducted a simulation study to evaluate the benefits of joint modeling in the context of a clinical trial. Specifically, we looked at the effects of joint modeling on the test of an effect of treatment on time to event. Simulations were run using different sample sizes, different correlation levels between the health status and marker processes, and different censoring rates. We found that the improvement in power attributable to joint modeling increases as correlation, sample size, and censoring rate increases. The greatest gain in power was with 75% censoring and a correlation of 0.9. When the censoring rate was below 75%, or ρ < 0.75 there was little difference in power between the joint model and a univariate model.
Early Datalogging Predicts Cochlear Implant Performance: Building a Recommendation for Daily Device Usage

Objective To quantify the effect of datalogging on speech recognition scores and time to achievement for a “benchmark” level of performance within the first year, and to provide a data-driven recommendation for minimum daily cochlear implant (CI) device usage to better guide patient counseling and future outcomes. Study Design Retrospective cohort. Setting Tertiary referral center. Patients Three hundred thirty-seven adult CI patients with data logging and speech recognition outcome data who were implanted between August 2015 and August 2020. Main Outcome Measures Processor datalogging, speech recognition scores, achievement of “benchmark speech recognition performance” defined as 80% of the median score for speech recognition outcomes at our institution. Results The 1-month datalogging measure correlated positively with word and sentences scores at 1, 3, 6, and 12 months postactivation. Compared with age, sex, and preoperative performance, datalogging was the largest predictive factor of benchmark achievement on multivariate analysis. Each hour/day increase of device usage at 1 month resulted in a higher likelihood of achieving benchmark consonant–nucleus–consonant and AzBio scores within the first year (odds ratio = 1.21, p < 0.001) as well as earlier benchmark achievement. Receiver operating characteristic curve analysis identified the optimal data logging threshold at an average of 12 hours/day. Conclusions Early CI device usage, as measured by 1-month datalogging, predicts benchmark speech recognition achievement in adults. Datalogging is an important predictor of CI performance within the first year postimplantation. These data support the recommended daily CI processor utilization of at least 12 hours/day to achieve optimal speech recognition performance for most patients.
CONTINUOUS SAMPLING IN MAGNETIC RESONANCE IMAGING

15 Chapter 1: Introduction . 17 1.1 MRI Pulse Sequences . 17 1.2 K-space Trajectories . 19 1.3 Signal-to-noise ratio . 22 1.4 Fat Suppression . 24 1.5 Motion Artifact Correction . 27 1.6 Overview of Dissertation . 29 1.6. 1 Cartesian Continuous Sampling . 30 1.6. 2 Faster Continuous Sampling Imaging . 30 1.6. 3 Continuous Sampling for Dixon Fat/Water Separation . 31 1.6. 4 Multiple Overlapping k-space Junctions for Investigating Translating Objects (MOJITO) . 31 1.6. 5 Summary and Future Directions . 32 Chapter 2: Cartesian Continuous Sampling . 33
Resource Allocation for Multicarrier Communication in the Finite Blocklength Regime

Different from traditional long packet communication, short packet communication, one prominent feature of Internet-of-Things (IoT), suffers from transmission rate degradation, and a significant decoding error probability is inevitably introduced. In this letter, we focus on the resource allocation for uplink multicarrier narrowband communication in the finite blocklength regime. Specifically, an optimization problem to maximize the effective throughput is formulated under the consideration of date rate and transmission reliability. Besides, due to the difficulty of obtaining perfect channel state information (CSI), we also explore the resource allocation problem based on partial CSI. Simulation results indicate the effectiveness and robustness of proposed algorithm.
The Tropical Transition of the October 1996 Medicane in the Western Mediterranean Sea: A Warm Seclusion Event

The processes leading to the tropical transition of the October 1996 medicane in the western Mediterranean are investigated on the basis of a 50-member ensemble of regional climate model (RCM) simulations. By comparing the composites of transitioning and nontransitioning cyclones it is shown that standard extratropical dynamics are responsible for the cyclogenesis and that the transition results from a warm seclusion process. As the initial thermal asymmetries and vertical tilt of the cyclones are reduced, a warm core forms in the lower troposphere. It is demonstrated that in the transitioning cyclones, the upper-tropospheric warm core is also a result of the seclusion process. Conversely, the warm core remains confined below 600 hPa in the nontransitioning systems. In the baroclinic stage, the transitioning cyclones are characterized by larger vertical wind shear and intensification rates. The resulting stronger low-level circulation in turn is responsible for significantly larger latent and sensible heat fluxes throughout the seclusion process.
Modification and Evaluation of Attention-Based Deep Neural Network for Structural Crack Detection

Cracks are one of the safety-evaluation indicators for structures, providing a maintenance basis for the health and safety of structures in service. Most structural inspections rely on visual observation, while bridges rely on traditional methods such as bridge inspection vehicles, which are inefficient and pose safety risks. To alleviate the problem of low efficiency and the high cost of structural health monitoring, deep learning, as a new technology, is increasingly being applied to crack detection and recognition. Focusing on this, the current paper proposes an improved model based on the attention mechanism and the U-Net network for crack-identification research. First, the training results of the two original models, U-Net and lrassp, were compared in the experiment. The results showed that U-Net performed better than lrassp according to various indicators. Therefore, we improved the U-Net network with the attention mechanism. After experimenting with the improved network, we found that the proposed ECA-UNet network increased the Intersection over Union (IOU) and recall indicators compared to the original U-Net network by 0.016 and 0.131, respectively. In practical large-scale structural crack recognition, the proposed model had better recognition performance than the other two models, with almost no errors in identifying noise under the premise of accurately identifying cracks, demonstrating a stronger capacity for crack recognition.
Takotsubo Cardiomyopathy (TCM) After Uncomplicated Paraesophageal Hernia Repair: A Case Report and Review on Postoperative TCM

Takotsubo cardiomyopathy (TCM) is a rare stress-induced condition that appears rarely in suspected acute myocardial infarction cases. It causes unexplained left ventricular failure, but most cases are reversible with supportive treatment. In this report, we present the case of a 70-year-old female who developed acute hypotension after a laparoscopic Toupet fundoplication on postoperative day one, requiring care in the surgical intensive care unit. Following consultation with the cardiology service and further imaging and tests, she was diagnosed with TCM. This report outlines the potential mechanisms and management of TCM in the intensive care unit, emphasizing the importance of prompt diagnosis and treatment.
Preferences of University Students for a Psychological Intervention Designed to Improve Sleep: Focus Group Study

Background Many university students have difficulties with sleep; therefore, effective psychological treatments are needed. Most research on psychological treatments to improve sleep has been conducted with middle-aged and older adults, which means it is unclear whether existing psychological treatments are helpful for young adult university students. Objective This study aimed to discover university student preferences for a psychological intervention to improve sleep quality. Methods Focus groups were conducted over 3 stages to examine students’ views regarding content, format, and session duration for a psychological intervention to improve sleep. A thematic analysis was conducted to analyze participant responses. Results In total, 30 participants attended small focus group discussions. Three key themes were identified: (1) program development, (2) help-seeking, and (3) student sleep characteristics. Program development subthemes were program format, program content, and engagement facilitators. Help-seeking subthemes were when to seek help, where to access help, stigma, and barriers. Student sleep characteristics subthemes were factors disturbing sleep and consequences of poor sleep. Conclusions Students emphasized the need for a sleep intervention with an in-person and social component, individualized content, and ways to monitor their progress. Participants did not think there was a stigma associated with seeking help for sleep problems. Students identified the lack of routine in their lifestyle, academic workload, and the pressure of multiple demands as key contributors to sleep difficulties.
Comparing the cognitive functioning of middle-aged and older foreign-origin population in Estonia to host and origin populations

Background In migration and health research, the healthy migrant effect has been a common finding, but it usually pertains to specific contexts only. Existing findings are inconsistent and inconclusive regarding the cognitive functioning of the (aging) foreign-origin population relative to the populations of their host and sending countries. Moreover, this comparison is an understudied design setting. Objective We analyze the outcomes and associations of cognitive functioning outcomes of the non-institutionalized middle-aged and older population, comparing the Russian-origin population in Estonia with Estonians in Estonia and Russians in Russia in a cross-sectional design. We aim to estimate the (long-term) effects of migration on cognitive functioning in later life, contextualizing the findings in previous research on the healthy migrant effect. Data and methods We use data from face-to-face interviews conducted within the SHARE Estonia (2010–2011) and SAGE Russia (2007–2010) surveys. Respondents aged 50+ living in urban areas were grouped by self-identified ethnicity, including 2,365 Estonians, 1,373 Russians in Estonia, and 2,339 Russians in Russia (total N = 6,077). Cognitive functioning was measured using a 25-percentile cut-off threshold for the results of two cognition outcomes - immediate recall and verbal fluency - and the odds of impairment were estimated using binary logistic regression. Results Russian men and women living in Estonia have significantly higher odds of impairment in immediate recall than Estonian men and women, though they do not differ from Russians in Russia in the final adjusted models. The differences between all groups are non-significant if age at migration is considered. There are no significant differences between the groups in verbal fluency. Conclusion Contrary to the commonly found healthy migrant effect, the middle-aged and older foreign-origin population in Estonia fares initially worse than the native population in the immediate recall outcome, but does not differ from their sending country population, possibly due to Russia’s higher mortality rate and therefore the selective survival of healthier people. Different results depending on the cognitive functioning outcome suggest that migration may affect temporary memory more than crystallized knowledge. However, there are no differences between the groups if defined based on age at migration, which suggests that the age profile differences explain most of the groups’ differences in cognitive functioning.
Analysis and new constructions of generalized barycentric coordinates in 2D

Different coordinate systems allow to uniquely determine the position of a geometric element in space. In this dissertation, we consider a coordinate system that lets us determine the position of a two-dimensional point in the plane with respect to an arbitrary simple polygon. Coordinates of this system are called generalized barycentric coordinates in 2D and are widely used in computer graphics and computational mechanics. There exist many coordinate functions that satisfy all the basic properties of barycentric coordinates, but they differ by a number of other properties. We start by providing an extensive comparison of all existing coordinate functions and pointing out which important properties of generalized barycentric coordinates are not satisfied by these functions. This comparison shows that not all of existing coordinates have fully investigated properties, and we complete such a theoretical analysis for a particular one-parameter family of generalized barycentric coordinates for strictly convex polygons. We also perform numerical analysis of this family and show how to avoid computational instabilities near the polygon’s boundary when computing these coordinates in practice. We conclude this analysis by implementing some members of this family in the Computational Geometry Algorithm Library. In the second half of this dissertation, we present a few novel constructions of non-negative and smooth generalized barycentric coordinates defined over any simple polygon. In this context, we show that new coordinates with improved properties can be obtained by taking convex combinations of already existing coordinate functions and we give two examples of how to use such convex combinations for polygons without and with interior points. These new constructions have many attractive properties and perform better than other coordinates in interpolation and image deformation applications.
Comparison of the Treatment Response of Drug-Eluting Bead Transarterial Chemoembolization and Conventional Transarterial Chemoembolization in Patients With Hepatocellular Carcinoma

Introduction Hepatocellular carcinoma (HCC) is a common primary hepatic cancer. Its early diagnosis can aid in its treatment by curative means such as surgery or ablation. Advanced-stage diagnosis limits these treatment options, and such cases can be treated with transarterial chemoembolization (TACE). Conventional transarterial chemoembolization (cTACE) and drug-eluting bead transarterial chemoembolization (DEB-TACE) are usually used, and follow-up response is evaluated using modified Response Evaluation Criteria in Solid Tumors (mRECIST) criteria. This study was done to compare the treatment response of cTACE and DEB-TACE in patients with HCC. Materials and methods A retrospective review of electronic medical records of all patients diagnosed with HCC from January 2021 to August 2022 who underwent cTACE or DEB-TACE was undertaken at the Department of Interventional Radiology, Indus Hospital and Health Network. Both male and female patients aged 18 years or above with Child-Pugh class A and B were included. DEB-TACE or cTACE was performed by a fellowship-trained interventional radiologist, and the response was evaluated at six weeks follow-up using mRECIST criteria. Results A total of 129 patients were included in this study, with a mean age of 54.1 ± 10.8 years. The mean size of HCC was 3.1 ± 1.7 cm. Seventy-eight (60.5%) patients underwent cTACE, and 51 (39.5%) underwent DEB-TACE. Out of the 78 patients who underwent cTACE, complete response (CR) was found in 28 (35.9%), partial response (PR) was found in 33 (42.3%), stable disease (SD) was found in 12 (15.4%), and progressive disease (PD) was found in five (6.4%) patients. Of the 51 patients who underwent DEB-TACE, CR was found in 13 (25.5%), PR was found in 20 (39.2%), SD was found in 11 (21.6%), and PD was found in seven (13.7%) patients. Conclusion The response rate of TACE in the form of complete or partial response was higher with a lower frequency of stable or progressive disease. cTACE has a high response rate as compared to DEB-TACE.
The 9577 and 9632 Å Diffuse Interstellar Bands: as Carrier

Galazutdinov et al. (2017) recently claimed that the relative strengths of the 9577 and 9632 Å diffuse interstellar bands (DIBs) are too poorly correlated to be caused by a single source, the ion. Their conclusion is based on theoretical modeling of contaminating stellar Mg ii lines at 9631.9 and 9632.4 Å and UVES spectra. This contradicts their earlier result and those of several others that the two DIBs are closely correlated and, within the errors and effects of stellar blends, exhibit an intensity ratio consistent with that found in the 6 K laboratory spectrum of . We consider the use of close spectral standards to be superior to model atmosphere calculations in correcting for contamination by the Mg ii lines. We have examined some of the same UVES spectra and demonstrate that a lack of suitably observed telluric standards makes it impossible to adequately correct for telluric water vapor contamination, leading to unreliable continuum levels. The possible effects of higher temperatures, in the 30–100 K range, on the electronic absorption band profiles, and their relative intensities, are also considered.
TRISHNA TIR instrument development and performance status

The TRISHNA program marks a step further in the fruitful cooperation built between CNES and ISRO since many years, through a new Earth observation mission dedicated to the improvement of water cycle understanding and water resource management. Thanks to its unprecedented high spatial resolution in the thermal infrared domain, together with a high revisit frequency, TRISHNA mission will significantly contribute to the detection of ecosystem stress and to the optimization of water use in agriculture in a context of global climate change. The TRISHNA payload is composed of two principal instruments: the VNIR-SWIR imager provided by ISRO, and the TIR (Thermal InfraRed) imager. CNES is responsible for the TIR instrument development with Airbus Defence and Space as a prime contractor. The targeted launch date for TRISHNA satellite is 2025, being then positioned as a precursor of the LSTM Copernicus mission from ESA. This paper presents a status of the TIR instrument development, currently in phase C after a successful Preliminary Design Review in 2021. The equipment development status is detailed, and the progress of validation activities at Airbus level is addressed, focusing on the tests at detection laboratory with a full detection chain including a Development Model (DM) detector, and the preparation of the extensive test campaign to be done on an Engineering Model (EM) of an equipped cryostat (including EM detector, filters, and cryocoolers). An overview of the instrument predicted radiometric, spectral and geometric performances is also presented, as well as some measured elementary performances already available on FM optics.
Interfacing optical fibers with plasmonic nanoconcentrators

Abstract The concentration of light to deep-subwavelength dimensions plays a key role in nanophotonics and has the potential to bring major breakthroughs in fields demanding to understand and initiate interaction on nanoscale dimensions, including molecular disease diagnostics, DNA sequencing, single nanoparticle manipulation and characterization, and semiconductor inspection. Although planar metallic nanostructures provide a pathway to nanoconcentration of electromagnetic fields, the delivery/collection of light to/from such plasmonic nanostructures is often inefficient, narrow-band, and requires complicated excitations schemes, limiting widespread applications. Moreover, planar photonic devices reveal a reduced flexibility in terms of bringing the probe light to the sample. An ideal photonic-plasmonic device should combine (i) a high spatial resolution at the nanometre level beyond to what is state-of-the-art in near-field microscopy with (ii) flexible optical fibers to promote a straightforward integration into current near-field scanning microscopes. Here, we review the recent development and main achievements of nanoconcentrators interfacing optical fibers at their end-faces that reach entirely monolithic designs, including campanile probes, gold-coated fiber-taper nanotips, and fiber-integrated gold nanowires.
Pitfalls of significance testing and $p$-value variability: An econometrics perspective

Data on how many scientific findings are reproducible are generally bleak and a wealth of papers have warned against misuses of the p-value and resulting false findings in recent years. This paper discusses the question of what we can(not) learn from the p-value, which is still widely considered as the gold standard of statistical validity. We aim to provide a non-technical and easily accessible resource for statistical practitioners who wish to spot and avoid misinterpretations and misuses of statistical significance tests. For this purpose, we first classify and describe the most widely discussed (“classical”) pitfalls of significance testing, and review published work on these misuses with a focus on regression-based “confirmatory” study. This includes a description of the single-study bias and a simulation-based illustration of how proper meta-analysis compares to misleading significance counts (“vote counting”). Going beyond the classical pitfalls, we also use simulation to provide intuition that relying on the statistical estimate “p-value” as a measure of evidence without considering its sample-to-sample variability falls short of the mark even within an otherwise appropriate interpretation. We conclude with a discussion of the
Properties of the Closest Young Binaries. I. DF Tau’s Unequal Circumstellar Disk Evolution

We present high-resolution, spatially resolved, near-infrared spectroscopy and imaging of the two components of DF Tau, a young, low-mass, visual binary in the Taurus star-forming region. With these data, we provide a more precise orbital solution for the system, determine component spectral types, radial velocity, veiling and values, and construct individual spectral energy distributions. We estimate the masses of both stars to be . We find markedly different circumstellar properties for DF Tau A and B: evidence for a disk, such as near-infrared excess and accretion signatures, is clearly present for the primary, while it is absent for the secondary. Additionally, the and rotation period measurements show that the secondary is rotating significantly more rapidly than the primary. We interpret these results in the framework of disk-locking and argue that DF Tau A is an example of disk-modulated rotation in a young system. The DF Tau system raises fundamental questions about our assumptions of universal disk formation and evolution.