Miracle-dz/UniFAR-FTUs huggingface dataset:
Durable Response to Larotrectinib in a Child With Histologic Diagnosis of Recurrent Disseminated Ependymoma Discovered to Harbor an NTRK2 Fusion: The Impact of Integrated Genomic Profiling.

classi ﬁ er score with PXA one case a KANK1-NTRK2 fusion, In our patient ’ s case, upfront therapy for either anaplastic ependymoma (as diagnosed by histology or morphology) or PXA (per molecular or methylation pro ﬁ le) would have been similar, in consideration of his symptoms, age, and wide-spread metastatic disease at presentation. Both diagnoses warrant irradiation to the entire neuroaxis with boost to the primary tumor site, although different tumor bed doses (eg, 45-50.4 Gy for WHO grade II tumors like PXA v 54-59.4 Gy for higher-grade tumors including anaplastic ependymoma) may be indicated. Additionally, recurrence of either distinct re ﬁ ned molecular diagnoses become increasingly critical for proper interpretation of future clinical trials. Prospective studies of larger cohorts of patients with pediatric cancer such as with the Texas KidsCanSeq study will provide insight into the frequency at which clinically relevant genetic alterations can be detected using different genomic tests. Our case provides an ex-ample of the profound impact such testing can have for both diagnosis and effective treatment of children with high-risk pediatric cancers.
Health Consequences of Acid Rain in South West Sweden

Acid rain leads to loss of essential elements from soils and bedrock, causing an imbalance in especially dug well waters, as essential element concentrations decrease and potentially toxic element concentrations increase. In this study 72 private dug wells from acid regions (pH 7.0) in South-western Sweden. Women, drinking the water for at least 5 years, were interviewed about their health and water and hair samples were collected. The concentrations of about 40 elements in water and hair were analysed, mostly by ICP-MS. The concentrations of essential elements such as Ca, Cr, Mo, Se, K, and SO4 as well as the body’s buffering agent HCO3 were significantly lower in acid than in alkaline water. The median Ca concentration was 6 times lower in acid waters, and also in hair compared to alkaline. Median HCO3 was 14 times lower in acid waters. Mg was similar in both populations, since the Swedish bedrock in general has low Mg content, even so limestone in the alkaline area. The concentrations of especially Ca, Cr, HCO3 and SO4, peaked at pH 7.0 - 8.0, due to precipitation of carbonates and sulphates in alkaline soils and leaching from acid soils. The levels of toxic metals such as Cd and Pb were significantly higher in acid well water. High Cu concentration from pipes, causing especially diarrhoea, is a serious acidification problem. The contribution of essential elements to the daily intake from these well waters, 2 Litres consumption per day, was from 0% to above 30% for some elements, clearly showing that 10%, which is generally predicted, can be exceeded for people with private well waters, as well as provide 0%, which is the case for many acid well waters. Water elements were mirrored in hair, e.g. Ca and Mo. The loss of essential minerals, and increased concentration of toxic elements in acid well water, caused mineral imbalances in the body, as mirrored in hair. Women living in the acid area reported more negative health changes than women in the alkaline district, during the time they had been drinking their well water. The number of reported heart, intestinal, muscle, and skin problems were between 2 and 9 times higher among women drinking acid than alkaline well water.
Bollard Segmentation and Position Estimation From Lidar Point Cloud for Autonomous Mooring

This article presents a computer-aided object detection and localization method from lidar 3-D point cloud data. This topic of interest is in the framework of autonomous mooring, where the ship is tied to the rigid structure on-shore (bollard) for autonomous maritime navigation. Using shape and features priors, unlike matching the whole object template to the experimental 3-D point cloud representation of the scene, two customized algorithms: 1) 3-D feature matching (3-DFM) and 2) mixed feature-correspondence matching (MFCM) are presented. The proposed algorithms discriminate and extract the 3-D points corresponding to the noncooperative bollard’s surface from the background, thus capable of classification, localization, and representing it using a unique coordinate in the 3-D world. The proposed algorithms are tested and validated by implementing upon an experimental dataset of 105 scenes where the bollard is at different positions and orientations with respect to lidar mounted on the robotic arm. Statistical and probabilistic-based approaches are taken into account to determine the performance of proposed algorithms. Model parameters’ estimation implies that errors resulting from the 3-DFM algorithm follow homoscedastic bimodal Gaussian distribution with individual Gaussian components having mean 0.03 and 0.09 m, and both have an equal standard deviation of 0.01 m. Furthermore, the posterior component assignment probability is used to identify and cluster the scenes that contribute to relatively larger errors. Finally, an improved algorithm, MFCM, is proposed, whose errors follow unimodal Gaussian distribution with a mean and a standard deviation of 0.03 and 0.01 m, respectively, thus mitigating the shortcomings of the former.
Claudopus niger (Entolomataceae – Basidiomycota), a new species from the Argentinean Atlantic Forest

ABSTRACT The genus Claudopus (Entolomataceae) is characterised by its crepidotoid or pleurotoid basidiomata, a highly reduced and lateral or almost absent stipe, flesh-brown, salmon or pinkish-brown spore-print, and basidiospores that are distinctly angular in all views. Currently, ca. 20 species of Claudopus have been described worldwide. Some samples collected in the Argentinean Atlantic Forest have shown a set of characters that does not match with any of the species of Claudopus described until date. The aim of this work is to describe and illustrate a species of Claudopus new to science. Claudopus niger is distinguished from other species of Claudopus by its dark, almost black pileus surface, pinkish brown to brownish gray, ventricose lamellae; heterodiametric basidiospores, 5–7 angled (in profile view) and 8.5–11.5 × 5.5–7.5 µm in size, and a hymenium lacking cystidia. Claudopus byssisedus, the most phenetically related species and with a wide distribution in temperate and cold regions, has a paler colour and slightly larger basidiospores.
Journal hijacking: Challenges and potential solutions

Hijacked journals mimic the name (and the ISSN) of a reputable journal with the sole purpose of financial exploitation. A hijacked journal is an even more pernicious scam than a predatory journal. Grounded in stakeholder theory, this opinion piece indicates that the hijackers are the sole stakeholder group that benefits from journal hijacking. Hijacked journals will continue to menace scholarly research and publishing unless all stakeholders take specific and coordinated actions against them.
Anomalous electron thermal conductivity in a magnetic nozzle

The impact of plasma instabilities on the electron thermodynamics of a magnetic nozzle is investigated. An expression is derived for an effective collision frequency between electrons and ions that results from a wave-induced resistive force in the parallel direction to the nozzle’s magnetic field. This collision frequency is then incorporated into the classical heat conduction term in the electron energy equation to find an expression for an effective polytropic index. An experiment is performed on an electron cyclotron resonance thruster at 17 W to evaluate this expression. Measurements are performed of both the background plasma properties and wave propagation characteristics. Experimental measurements indicate a polytropic index of 1.15 ±. 1. This result is compared to the instability-driven theory which predicts a polytropic index that varies between 1 and 1.1, comparing well with measurements. The results are discussed in the context of thruster energy balance, and several potential error sources are addressed.
Merging Grid Maps in Diverse Resolutions by the Context-based Descriptor

Building an accurate map is essential for autonomous robot navigation in the environment without GPS. Compared with single-robot, the multiple-robot system has much better performance in terms of accuracy, efficiency and robustness for the simultaneous localization and mapping (SLAM). As a critical component of multiple-robot SLAM, the problem of map merging still remains a challenge. To this end, this article casts it into point set registration problem and proposes an effective map merging method based on the context-based descriptors and correspondence expansion. It first extracts interest points from grid maps by the Harris corner detector. By exploiting neighborhood information of interest points, it automatically calculates the maximum response radius as scale information to compute the context-based descriptor, which includes eigenvalues and normals computed from local structures of each interest point. Then, it effectively establishes origin matches with low precision by applying the nearest neighbor search on the context-based descriptor. Further, it designs a scale-based corresponding expansion strategy to expand each origin match into a set of feature matches, where one similarity transformation between two grid maps can be estimated by the Random Sample Consensus algorithm. Subsequently, a measure function formulated from the trimmed mean square error is utilized to confirm the best similarity transformation and accomplish the coarse map merging. Finally, it utilizes the scaling trimmed iterative closest point algorithm to refine initial similarity transformation so as to achieve accurate merging. As the proposed method considers scale information in the context-based descriptor, it is able to merge grid maps in diverse resolutions. Experimental results on real robot datasets demonstrate its superior performance over other related methods on accuracy and robustness.
DYSLEXIA AND SELF-DEVELOPMENT; A PRODUCT FOR PRIMARY SCHOOL CLASSROOMS TO ENCOURAGE SOCIAL INTERACTION WITH THE INTENT OF IMPROVING SELF-ESTEEM.

With an ever-increasing body of primary school children and the degradation of mental health among young people, the development of a high self-esteem at a primary school level has been recognised as a huge driving force towards the wellbeing of the next generation. Although the poor mental health of young people in their teenage years is widely talked about and addressed, it is often missed that this stems from a much younger age. The people most likely to suffer with a lower self-esteem at a young age are those with a learning differences, weather mild, diagnosed or undiagnosed. This paper will explore how emerging cognitive differences, and positive social interaction can help steer a child’s self-development away from problems later in life such as anxiety and depression. Using these findings, a physical classroom-based game was conceived, designed and tested on the end users in the classroom environment.
Numerical optimization of dc wire parameters for mitigation of the long range beam-beam interactions in High Luminosity Large Hadron Collider

Several configurations of the High Luminosity Large Hadron Collider, whose performance at collision is mainly limited due to the strong beam-beam long-range interactions, are studied in the presence of dc wire compensators. This analysis is based on analytical and numerical calculations where the main observables are the dynamic aperture (correlated to the beam lifetime) and the frequency map analysis. It is demonstrated that, with a proper optimization of the wire compensator parameters (distance from the beam and wire current) and without violating the machine protection restrictions, these long range beam-beam interactions can be very well mitigated, making these scenarios viable and complementary with respect to the present HL-LHC baseline. The impact in the integrated luminosity and the operational flexibility gained are also presented.
Financial Additionality of Multilateral Development Banks in Private Participation in Infrastructure Projects

This paper aims to provide empirical evidence for demonstrating financial additionality of multilateral development banks (MDBs) in private participation in infrastructure (PPI) projects in terms of financing beyond what is available in the markets. To verify MDB financial additionality, this study examines whether the PPI projects with multilateral support have significantly larger investment commitments than the total average projects by using the PPI database of the World Bank for 1996–2020. The empirical analysis identifies MDB financial additionality, in that the larger investment commitments of multilateral-supported projects beyond the average are confirmed in any income levels and regions in host countries and any sectors and types in the projects. In particular, MDB financial additionality is valid even in low-income countries where private finance is still too premature to be available. In the host countries where their government effectiveness is in the poorest edge, however, MDB financial additionality loses its significance, thereby requiring the governance enhancement and capacity building in the host countries and innovative blended finance instruments for its additionality to work.
Associated Factors of Marital Satisfaction in Iranian Women During the COVID-19 Pandemic: A Population-Based Study

Objective: The increasing prevalence of COVID-19 in Iran has increased the risk for anxiety and stress in families. Due to the significance of the impact of family health on the society’s mental health and the fundamental role of marital relationships, which is an indicator of marital satisfaction, this study was conducted to investigate associated factors of marital satisfaction in Iranian women during the COVID-19 pandemic. Methods: This online cross-sectional study was carried out to assess associated factors of marital satisfaction in Iranian women during the COVID-19 pandemic from April 1 to April 20, 2020. The study sample consisted of 317 married women of childbearing age eligible to enter the study. Data were collected using a socio-demographic and obstetric questionnaire, the Female Sexual Function Index, the ENRICH Marital Satisfaction Scale, and the General Health Questionnaire. Data analysis was performed using SPSS software version 22. Results: A total of 317 married women participated in the study. The average age of the participants was 31.85 ± 6.94 years. Based on the multiple linear regression model, only five variables, including sexual satisfaction (B = 2.414, P < 0.001), physical symptoms (B = 0.245, P = 0.045), anxiety and insomnia (B = -0.319, P = 0.002), social dysfunction (B = 0.265, P = 0.003), and depression (B = -0.441, P < 0.001), could significantly predict marital satisfaction during the COVID-19 pandemic. Conclusions: Sexual satisfaction, physical symptoms, anxiety and insomnia, social dysfunction, and depression can significantly affect marital satisfaction during the COVID-19 pandemic. Therefore, planning to identify these factors and provide the appropriate strategy can increase marital satisfaction in times of crisis.
Petrogenesis of Himalayan Leucogranites: Perspective From a Combined Elemental and Fe‐Sr‐Nd Isotope Study

The petrogenesis of Himalayan leucogranites remains crucial for understanding the thermal and tectonic evolution of the Himalayan orogen. To understand whether they are largely pristine melts of crustal anatexis or have experienced a high degree of fractional crystallization (FC), we present Fe isotopic data of 30 representative Himalayan leucogranites and 9 local metasedimentary rocks. Excepting three garnet leucogranites with low δ56Fe (−0.04‰–0.06‰) that are likely affected by garnet accumulation, tourmaline, and two‐mica leucogranites have largely homogeneous δ56Fe from 0.13‰ to 0.24‰ irrespective of their highly variable SiO2, MgO, and FeOt contents. Combined with observed mineral assemblages and available fractionation factors, this does not support a high degree of FC (with or without assimilation) in their petrogenesis. The elevated δ56Fe relative to the supposed source rocks, represented by metasedimentary rocks and/or metabasite with a δ56Fe value of 0.10‰, by ∼0.07‰, may reflect Fe isotope fractionation during crustal anatexis. This study indicates most leucogranites can provide robust constraints on the conditions of crustal anatexis and thus the thermal and tectonic evolution of the Himalayan orogen.
Breastfeeding moderates the relationship between fat mass and obesity‐associated gene rs9939609 and body mass index among adolescents

Breastfeeding, which is important for early growth, is a possible moderator of genetic influence, such as the effect of the fat mass and obesity‐associated gene (FTO) on body mass index (BMI). The aim of this study was to assess the moderating effect of breastfeeding duration on the relationship between FTO rs9939609 and BMI in a Caucasian sample.
Lightweight Semantic-Aided Localization With Spinning LiDAR Sensor

Autonomous driving demands robust and precise vehicle localization in complex environments with limited on-board computational resources. Incorporating reliable semantic information with localization algorithms can increase accuracy remarkably, however, the process of extracting semantic information from LiDAR point clouds and matching it to semantic maps is computationally intensive. Moreover, pure semantic localization cannot achieve the robustness requirements for safe self-driving as the necessary quantity of semantic landmarks cannot be guaranteed under extreme conditions. In this paper, we present a lightweight semantic-aided localization method that improves upon traditional techniques in two ways. First, we propose a highly efficient pipeline to extract three semantic classes from a LiDAR scan. Second, instead of semantic 3D point cloud registration, map matching is performed through 2D key point matching. We then integrate these two functions into a dynamic semantic aided localization framework. Our on-road experiments demonstrate that the proposed method achieves both the high accuracy of semantic localization and the robustness of non-semantic localization. With our algorithm consuming under 10% of CPU resources, we observe reduced positioning error, especially peak error, when comparing to non-semantic counterparts.
Assessment of environmental implications of energy consumption towards sustainable development in G7 countries

Following universal debate for energy sources and sustainable development across the globe, with its far-reaching implications on the environment, this crusade aligns with the United Nations Sustainable Development Goals (UN-SDGs). The study variables are based on the SDGs-7, 8, and 13 that highlights access to clean energy, sustainable economic growth and mitigation of climate change issues. Awareness of environmental sustainability has received much consideration because of the hazards associated with climate change issues in recent times. Studies on environmental quality and pollution emissions (CO 2 ) are becoming increasingly interesting. It is reported that human activities and increasing economic issues resolve environmental-related challenges. In the light of this, we assess how employment moderates energy consumption and climate change for G7 countries. We utilise panel co-integration and long-run regression using dynamic ordinary and fully modi ﬁ ed ordinary least squares to institute the magnitude of long-run elasticity among the outlined variables. Panel heterogeneous techniques are used to detect the direction of causality for the annual data from 1990 to 2016. The empirical result shows a clear signi ﬁ cant correlation between variables and the long-run relationship between pollutant releases and energy utilisation, employment and real output. The study ﬁ nds an inverse relationship between trade and pollutant emissions, thus suggesting that openness trade mitigates against environmental degradation in the sampled blocs. The causality analysis reveals a bidirectional causality between emissions and employment and a unidirectional causality between emissions,
Does customers’ attitude toward negative eWOM affect their panic buying activity in purchasing products? Customers satisfaction during COVID-19 pandemic in Indonesia

Abstract Concerning the effect of the 2019 coronavirus novel (COVID-19) pandemic on the global economic situation, this study examines the impact of customer attitudes toward negative Electronic Word of Mouth (eWOM) in their panic buying activities and switching barriers on customer satisfaction. This study also used the Rational Choice Theory approach as a foundation to explain the current situation in Indonesia regarding customer purchasing decisions and satisfaction. The questionnaires were distributed online to 691 consumers in various cities in Indonesia. Data were analyzed using Partial Least Square Structural Equation Modeling (PLS-SEM). The results of this study indicate that the attitudes toward negative eWOM have an impact on increasing panic buying activity and brand switching. Finally, the relationship between buying activity as well as brand switching toward customer satisfaction has significance. The conclusions drawn in this study will contribute to studies or research regarding Rational Choice Theory.
Effects of Different Injection Strategies on Combustion and Emission Characteristics of Diesel Engine Fueled with Dual Fuel

In this work, an effective numerical simulation method was developed and used to analyze the effects of natural gas mixing ratio and pilot-main injection, main-post injection, and pilot-main-post injection strategies on the combustion and emission characteristics of diesel engine fueled with dual fuel. Firstly, the one-dimensional calculation model and three-dimensional CFD model of the engine were established by AVL-BOOST and AVL-Fire, respectively. In addition, the simplified chemical kinetics mechanism was adopted, which could accurately calculate the combustion and emission characteristics of the engine. The results show that the cylinder pressure and heat release rate decrease with the increase of the natural gas mixing ratio and the NOx emission is reduced. When the NG mixing ratio is 50%, the NOx and CO emission are reduced by 47% and 45%, respectively. When the SODI3 is 24 °CA ATDC, the NOx emission is reduced by 29.6%. In addition, with suitable pilot-main injection and pilot-main-post injection strategies, the combustion in the cylinder can be improved and the trade-off relationship between NOx and soot can be relaxed. Thus, the proper main-post injection strategy can improve the combustion and emission characteristics, especially the reduction in the NOx and CO emissions.
GEOMETRY APPLICATION EVOLUTION - FROM RESEARCH TO INDUSTRIAL APPLICATIONS OVER TWO DECADES

Abstract Digitalisation is making significant inroads into society at the same time as the general commercial trend is to able to personalise the product one acquires. The field of digital product representation, and the techniques for adopting a particular product in accordance with the customer's expectations, have become very important corporate assets. From a company's perspective these assets can be leveraged both for internal efficiency and also for different types of external customer interactions. In this article, the standpoint is that product geometry forms the foundation for digital product representation. It is from this perspective that the geometrical ecosystem comes into focus. Geometry creation and geometry consumption, in combination with geometrical configuration management, are high-value areas that must be mastered. A research-based 20-year industrial perspective building up such capabilities serves as an example. The article concludes with a forward-looking perspective on potential areas for continued exploration on this journey.