Miracle-dz/UniFAR-FTUs huggingface dataset:
Regional Patterns of Sea Level Change in the German North Sea Related to Global Scale Patterns - Are IPCC Projections Reliable for Regional Planning Purposes?

Regional and especially global sea level changes have been intensively studied in the recent past. This contribution focuses on presenting the results from analysing observed mean sea level changes in the south-eastern part of the North Sea. Data sets from 13 tide gauges covering the entire German North Sea coastline and the time period from 1843 to 2008 have been used to estimate high quality mean sea level time series. The overall results from nonlinear smoothing and linear trend analyses for different time spans are presented. An accelerated sea level rise is detected for a period at the end of the 19th century and for the recent decades. The comparison with global sea level reconstructions reveals the existence of different patterns of sea level change and highlights the urgency to derive reliable regional sea level projections for coastal planning strategies. The reconstruction for the German Bight and a North-East-Atlantic sea level reconstruction are in better agreement, at least for the last decades. The paper concludes with a short discussion on how to currently consider future sea level changes for regional coastal zone management strategies.
TUBA1A licenses APC/C‐mediated mitotic progression to drive glioblastoma growth by inhibiting PLK3

Glioblastoma (GBM) is the most common, aggressive, and chemorefractory primary brain tumor in adults. Identifying novel drug targets is crucial for GBM treatment. Here, we demonstrate that tubulin alpha 1a (TUBA1A) is significantly upregulated in GBM compared to low‐grade gliomas (LGG) and normal tissues. High TUBA1A expression is associated with poor survival in GBM patients. TUBA1A knockdown results in mitotic arrest and reduces tumor growth in mice. TUBA1A interacts with the polo‐like kinase 3 (PLK3) in the cytoplasm to inhibit its activation. This interaction licenses activation of the anaphase‐promoting complex or cyclosome (APC/C) to ensure proper Foxm1‐mediated metaphase‐to‐anaphase transition and mitotic exit. Overall, our findings demonstrate that targeting TUBA1A attenuates GBM cell growth by suppressing mitotic progression in a PLK3‐dependent manner.
Medical Treatment for Androgenetic Alopecia

Abstract Androgenetic alopecia is a common type of hair loss, which is generally influenced by genetic factors and systemic androgens resulting in follicular miniaturization. It can cause cosmetic problems leading to psychological distress among affected men and women. Effective standard medical treatments available are topical minoxidil 2 to 5%, oral finasteride, oral dutasteride, and hair transplantation. However, some patients do not achieve favorable results with standard treatments. For these reasons, other novel treatments have been developed, including new medications, regenerative medicines (autologous platelet-rich plasma, adipose-derived stem cells, micrograft generation, and exosome), and low-level laser therapy
Reply to comment by J. Trampert

In response to the comment by Trampert (1990) on the paper ‘Comparison of iterative back-projection inversion and generalized inversion. ’ by Ho-Liu, Montagner & Kanamori (1989; hereafter referred as HMK), we would like to reiterate the two main objectives of HMK. The first one was to compare the generalized least-squares inversion method without blocks by Tarantola & Valette (1982; hereafter referred to as TV) and a particular version of SIRT technique (Van der Sluis & Van der Vorst 1987) presented by Comer & Clayton (1985, unpublished manuscript; hereafter referred to as CC). We did not intend to provide a general relationship between TV and the general class of SIRT. We wanted to provide a way to choose the damping factor in CC using an approximate form of back projection algorithm (HMK, p. 22), and to assess the error and resolution. In the previous studies using CC, the damping factor was chosen more or less arbitrarily. The second purpose was to apply these two different tomographic techniques to the same data set to check the robustness of the inversion results. H. Trampert notes that two points need clarification. We will consider successively these two points. The first point concerns the damping factor p. Equation (1) from TV as reported by Trampert is the general algorithm solving a non-linear problem. We applied it to a linear problem (section 6 of HMK) without iteration (it is clearly pointed out in section 4 of HKM). We did not solve a non-linear problem. Comparing the two algorithms, we only showed that CC (actually slightly different from SIRT) cannot solve the problem by one iteration because CC’s expression is approximate. The correction term 6pcc = p k + l -pk of CC is always smaller than the exact term given by TV, 6 b =pl -po . Consequently, it is necessary to iterate when CC is used, in order to converge. That is the reason why we have kept an index k for 6pcc. To avoid confusion, we could‘ have used different indices for TV and CC. Trampert concludes that ‘As a consequence, their interpretation of p as the ratio between the data variance and the a priori model variance is incorrect. ’ This statement is odd because our expression (17)
Genetic and environmental influences on beef cattle production in Zambia. 1. Factors affecting weaner production from Angoni, Barotse and Boran dams.

Factors influencing reproductive performance and calf and dam live weights were examined for two indigenous breeds, Angoni and Barotse, and an introduced breed, Boran, under ranching conditions in Zambia. Over 5 years, 675 Angoni, 731 Barotse and 815 Boran records gave calving percentages of 82·5, 78·1 and 75·4 respectively. Year was an important influence on calving and weaning percentages in all breeds; age of dam had little effect and status at mating was only important in the Angoni breed, in which lactating dams produced more calves than dry dams. Mean calf weaning weights were 147·3, 167·0 and 169·5 kg for the Angoni, Barotse and Boran dam breeds respectively. Hereford, Friesian and Boran bulls sired heavier progeny than Angoni and Barotse. Dam age and status did not influence calf weights, which were positively correlated with dam weights and negatively correlated with dam weight change during lactation. Dam live weights at the beginning of the breeding season were 313, 357 and 348 kg for the Angoni, Barotse and Boran breeds respectively. Angoni and Boran dams reached maximum live weight at 7 years and Barotses at 9 years. Subsequent calving rate was not influenced by live weight at the beginning of the breeding season nor, in lactating dams, by live-weight change between the autumn peak and mid breeding season.
Young Children's Development and Behavior: Associations with Timing of Household Food Insecurity in a Racially and Ethnically Diverse Early Head Start Sample

This article has supplementary material on the web site: www.jdbp. org. Abstract: Objective: The objective of this study was to assess the impact of household food insecurity (HFI) over time on behavioral and developmental health in early childhood while considering the impact of timing/persistence of HFI and potential differences among racially or ethnically minoritized children. Methods: Families from the Early Head Start Family and Child Experiences Study (N = 760) were followed longitudinally until age 3 years. Caregiver interview data were collected on HFI, problem behaviors (PBs), delays in development (DD), and sociodemographic information. Analysis of Covariances examined differences between persistent vs transient HFI. Multiple regressions examined the impact of HFI on PB and DD and whether this relation was stronger in racially or ethnically minoritized children. Results: The timing of HFI differentially affected PB, such that those with persistent HFI demonstrated greater PB than those with only early or only late HFI. A different pattern was identified for DD, in which those with late HFI had more DD than those with persistent HFI. Over and above other sociodemographics, including maternal risk factors and an income-to-needs ratio, HFI was associated with greater PB for children of all races and ethnicities. HFI was associated with more DD in non-Latino/a/e/x White families compared with non-Latino/a/e/x Black and Latino/a/e/x families. Conclusion: Meaningful differences were found in how the persistence/timing of HFI is differentially associated with PB and DD. In addition, while controlling for socioeconomic risk, a cumulative risk effect was not observed in how HFI affected racially or ethnically minoritized children.
Guaranteed Visibility in Scatterplots with Tolerance

In 2D visualizations, visibility of every datum's representation is crucial to ease the completion of visual tasks. Such a guarantee is barely respected in complex visualizations, mainly because of overdraws between datum representations that hide parts of the information (e.g., outliers). The literature proposes various Layout Adjustment algorithms to improve the readability of visualizations that suffer from this issue. Manipulating the data in high-dimensional, geometric or visual space; they rely on different strategies with their own strengths and weaknesses. Moreover, most of these algorithms are computationally expensive as they search for an exact solution in the geometric space and do not scale well to large datasets. This article proposes GIST, a layout adjustment algorithm that aims at optimizing three criteria: (i) node visibility guarantee (at least 1 pixel), (ii) node size maximization, and (iii) the original layout preservation. This is achieved by combining a search for the maximum node size that enables to draw all the data points without overlaps, with a limited budget of movements (i.e., limiting the distortions of the original layout). The method's basis relies on the idea that it is not necessary for two data representations to be strictly not overlapping in order to guarantee their visibility in visual space. Our algorithm therefore uses a tolerance in the geometric space to determine the overlaps between pairs of data. The tolerance is optimized such that the approximation computed in the geometric space can lead to visualization without noticeable overdraw after the data rendering rasterization. In addition, such an approximation helps to ease the algorithm's convergence as it reduces the number of constraints to resolve, enabling it to handle large datasets. We demonstrate the effectiveness of our approach by comparing its results to those of state-of-the-art methods on several large datasets.
Development and application of a competitive ELISA for the detection of antibodies against Salmonella Abortusequi in equids

ABSTRACT The high abortion rate associated with Salmonella Abortusequi (S. Abortusequi) infection in equids has re-emerged over the past 10 years and has caused serious economic losses to China. Our previous studies showed that the flagellin FljB gene could distinguish S. Abortusequi from most Salmonella serotypes. In this study, the flagellin antigen was used to develop a competitive enzyme-linked immunosorbent assay (cELISA) that could be used to detect both horse and donkey serum samples using a monoclonal antibody (MAb) that was found to bind to FljB. A cELISA was established using the purified MAb coating of the plate and incubation of the mixture of horseradish peroxidase (HRP)-conjugated FljB antigen with the undiluted serum sample. The performance of the cELISA and the tube agglutination test (TAT) assay was compared with respect to sensitivity and specificity, by testing a panel containing 660 S. Abortusequi-positive and 515 S. Abortusequi-negative serum samples, all of which had been characterized by Western blotting. Receiver operator characteristic (ROC) analyses were performed to determine the cutoff value and estimate the detection specificity (Sp) and sensitivity (Se). ROC analysis showed that the area under the ROC curve (AUC) values of cELISA [AUC = 0.9941; 95% confidence interval (CI), 0.9898–0.9984] were higher than those of TAT (AUC = 0.7705; 95% Cl, 0.7437–0.7972). A cutoff value of 39.5% was selected with Sp and Se values of 100 (95% Cl, 99.26–100.00) and 97.58 (95% Cl, 96.10–98.50), respectively. The cELISA has excellent futures compared with TAT, such as shortened detection time, no need for pre-treatment of sera, and easy interpretation of the results, and is more suitable for disease surveillance.
Differences in the characteristics of people who purchase pesticides from shops for self‐harm versus those who use pesticides available in the domestic environment in Sri Lanka

Data from South Asia indicate that for 15%–20% of suicide attempts, pesticides are purchased from shops; otherwise, pesticides are obtained from an individual's house or nearby environment. We aimed to investigate the difference between individuals who directly purchase pesticides from shops for suicide attempts and suicide deaths versus those related to accessing the pesticides from an individual's house or nearby environment.
Morphology of Bi(110) quantum islands on epitaxial graphene

Proximitized 2D materials present exciting prospects for exploring new quantum properties, enabled by precise control of structures and interfaces through epitaxial methods. In this study, we investigated the structure of ultrathin coverages formed by depositing high-Z element bismuth (Bi) on monolayer graphene (MLG)/SiC(0001). By utilizing electron diffraction and scanning tunneling microscopy, ultrathin Bi nanostructures epitaxially grown on MLG were studied. Deposition at 300 K resulted in formation of needle-like Bi(110)-terminated islands elongated in the zig-zag direction and aligned at an angle of approximately 1.75∘ with respect to the MLG armchair direction. By both strain and quantum size effects, the shape, the orientation and the thickness of the Bi(110) islands can be rationalized. Additionally, a minority phase of Bi(110) islands orthogonally aligned to the former ones were seen. The four sub-domains of this minority structure are attributed to the formation of mirror twin boundaries, resulting in two potential alignments of Bi(110) majority and minority domains with respect to each other, in addition to two possible alignments of the majority domain with respect to graphene. Notably, an annealing step at 410 K or lowering the deposition temperature, significantly increases the concentration of the Bi(110) minority domain. Our findings shed light on the structural control of proximitized 2D materials, showcasing the potential for manipulating 2D interfaces.
Cocreation to Facilitate Communication and Collaboration Between Multidisciplinary Stakeholders in eHealth Research and Development: Case Study of the CARRIER (Coronary Artery Disease: Risk Estimations and Interventions for Prevention and Early Detection) Consortium

Background Collaboration with diverse stakeholders in eHealth research is fundamental yet complex. Stakeholders from various disciplines do not “speak the same language” and have different levels of power and interest, resulting in contrasting objectives, priorities, and expectations. An approach to constructive communication and collaboration is necessary to overcome this complex dynamic. Cocreation, known in the field of eHealth most often to involve end users, may also be suitable for facilitating stakeholder engagement and alignment. Objective This paper provides insights into the application of cocreation, specifically in the early phases of research that focus on involving and aligning relevant stakeholders from different academic and professional backgrounds. Methods The case for this study was a group discussion with members of a multidisciplinary consortium that works on developing a personalized eHealth intervention for atherosclerotic cardiovascular disease. Using stakeholder mapping, health and medicine experts, big data scientists, software developers, and an innovation manager (N=8) were invited to participate. The discussion was based on a user scenario and structured according to the Six Thinking Hats of de Bono, representing 6 different types of thinking. The discussion was recorded, transcribed verbatim, and analyzed thematically with the use of ATLAS.ti software. Results First, informative and intuitive thinking served the preparatory purpose of familiarization with the project details and other participants. Second, positive and critical thinking constituted the body of the discussion and resulted in an in-depth conversation. Third, creative and organizational thinking were action oriented and focused on solutions and planning to safeguard future progress. The participants repeatedly reflected on various intervention-related themes, ranging from intervention content to technical functionalities and from legal requirements to implementation in practice. Moreover, project-related matters were discussed, including stakeholder management and time and budget constraints. Conclusions This paper demonstrates how cocreation can be of value for multidisciplinary stakeholder engagement and alignment. Based on stakeholder mapping (with whom to discuss), a dream user scenario (what to discuss), and the Six Thinking Hats of de Bono (how to discuss), the participants shared information, discussed differences, searched for solutions, and moved toward a collective approach regarding intervention development. The lessons learned may further improve the understanding of how cocreation can contribute to multidisciplinary collaboration.
Global and regional trends in the incidence and mortality burden of endometrial cancer, 1990–2019: Updated results from the Global Burden of Disease Study, 2019

Abstract Background: The disease burdens for endometrial cancer (EC) vary across different countries and geographical regions and change every year. Herein, we reported the updated results of the Global Burden of Disease Study 2019 on EC with respect to age-standardized incidence and mortality from 1990 to 2019. Methods: The annual percentage change (APC) of incidence and mortality was evaluated using joinpoint regression analysis to examine the temporal trends during the same timeframe in terms of the global landscape, different sociodemographic indices (SDI), and geographic regions. The relationship between Human Development Index (HDI) and incidence and mortality was additionally explored. Results: The age-standardized incidence rates (ASIRs) revealed a significant average global elevation by 0.5% per year (95% confidence interval [CI], 0.3–0.7; P <0.001). The age-standardized mortality rates (ASMRs), in contrast, fell by an average of 0.8% per year (95% CI, -1.0 to -0.7; P <0.001) worldwide. The ASIRs and ASMRs for EC varied across different SDIs and geographical regions. We noted four temporal trends and a significant reduction by 0.5% per year since 2010 in the ASIR, whereas we detected six consecutively decreasing temporal trends in ASMR during the entire period. Notably, the estimated APCs were significantly positively correlated with HDIs (ρ = 0.22; 95% CI, 0.07–0.35; P = 0.003) with regard to incident cases in 2019. Conclusions: Incidence rates for EC reflected a significant increase overall (although we observed a decline since 2010), and the death rates declined consecutively from 1990 to 2019. We posit that more precise strategies can be tailored and then implemented based on the distinct age-standardized incidence and mortality burden in different geographical areas.
Neglected tropical disease (NTD) diagnostics: current development and operations to advance control

ABSTRACT Neglected tropical diseases (NTDs) have become important public health threats that require multi-faceted control interventions. As late treatment and management of NTDs contribute significantly to the associated burdens, early diagnosis becomes an important component for surveillance and planning effective interventions. This review identifies common NTDs and highlights the progress in the development of diagnostics for these NTDs. Leveraging existing technologies to improve NTD diagnosis and improving current operational approaches for deployment of developed diagnostics are crucial to achieving the 2030 NTD elimination target. Point-of-care NTD (POC-NTD) diagnostic tools are recommended preferred diagnostic options in resource-constrained areas for mapping risk zones and monitoring treatment efficacy. However, few are currently available commercially. Technical training of remote health care workers on the use of POC-NTD diagnostics, and training of health workers on the psychosocial consequences of these diagnostics are critical in harnessing POC-NTD diagnostic potential. While the COVID-19 pandemic has challenged the possibility of achieving NTD elimination in 2030 due to the disruption of healthcare services and dwindling financial support for NTDs, the possible contribution of NTDs in exacerbating COVID-19 pandemic should motivate NTD health system strengthening.
Training models using forces computed by stochastic electronic structure methods

Quantum Monte Carlo (QMC) can play a very important role in generating accurate data needed for constructing potential energy surfaces. We discuss how stochastic errors affect this process, the limitations of QMC, and give several examples of their use: a least squares analysis, liquid silicon and dense hydrogen. We argue that QMC has advantages in terms of a smaller bias and an ability to cover phase space more completely. The stochastic noise can ease the training of the machine learning model. We conclude with a discussion of future research problems.
Fast Forward Modelling of Galaxy Spatial and Statistical Distributions

A forward modelling approach provides simple, fast and realistic simulations of galaxy surveys, without a complex underlying model. For this purpose, galaxy clustering needs to be simulated accurately, both for the usage of clustering as its own probe and to control systematics. We present a forward model to simulate galaxy surveys, where we extend the Ultra-Fast Image Generator to include galaxy clustering. We use the distribution functions of the galaxy properties, derived from a forward model adjusted to observations. This population model jointly describes the luminosity functions, sizes, ellipticities, SEDs and apparent magnitudes. To simulate the positions of galaxies, we then use a two-parameter relation between galaxies and halos with Subhalo Abundance Matching (SHAM). We simulate the halos and subhalos using the fast PINOCCHIO code, and a method to extract the surviving subhalos from the merger history. Our simulations contain a red and a blue galaxy population, for which we build a SHAM model based on star formation quenching. For central galaxies, mass quenching is controlled with the parameter M$_{\mathrm{limit}}$, with blue galaxies residing in smaller halos. For satellite galaxies, environmental quenching is implemented with the parameter t$_{\mathrm{quench}}$, where blue galaxies occupy only recently merged subhalos. We build and test our model by comparing to imaging data from the Dark Energy Survey Year 1. To ensure completeness in our simulations, we consider the brightest galaxies with $i<20$. We find statistical agreement between our simulations and the data for two-point correlation functions on medium to large scales. Our model provides constraints on the two SHAM parameters M$_{\mathrm{limit}}$ and t$_{\mathrm{quench}}$ and offers great prospects for the quick generation of galaxy mock catalogues, optimized to agree with observations.