Archival Data Research Articles

Searching for the imprints of AGN feedback on the Lyman alpha forest around luminous red galaxies

ABSTRACT We explore the potential of using the low-redshift Lyman $\alpha$ (Ly $\alpha$) forest surrounding luminous red galaxies (LRGs) as a tool to constrain active galactic nuclei (AGNs) feedback models. Our analysis is based on snapshots from the Illustris and IllustrisTNG simulations at a redshift of $z=0.1$. These simulations offer an ideal platform for studying the influence of AGN feedback on the gas surrounding galaxies, as they share the same initial conditions and underlying code but incorporate different feedback prescriptions. Both simulations show significant impacts of feedback on the temperature and density of the gas around massive haloes. Following our previous work, we adjusted the UV background in both simulations to align with the observed number density of Ly $\alpha$ lines ($\rm dN/dz$) in the intergalactic medium and study the Ly $\alpha$ forest around massive haloes hosting LRGs, at impact parameters ($r_{\perp }$) ranging from 0.1 to 100 pMpc. Our findings reveal that $\rm dN/dz$, as a function of $r_{\perp }$, is approximately 1.5 to 2 times higher in IllustrisTNG compared to Illustris up to $r_{\perp }$ of $\sim 10$ pMpc. To further assess whether existing data can effectively discern these differences, we search for archival data containing spectra of background quasars probing foreground LRGs. Through a feasibility analysis based on these data, we demonstrate that ${\rm dN/dz} (r_{\perp })$ measurements can distinguish between feedback models of IllustrisTNG and Illustris with a precision exceeding 16$\sigma$. This underscores the potential of ${\rm dN/dz} (r_{\perp })$ measurements around LRGs as a valuable benchmark observation for discriminating between different feedback models.

New Embassy in New China: On the 65th Anniversary of the Construction of the USSR Embassy Campus in Beijing

The article examines the problems associated with the relocation of the USSR Embassy in China in the 1950s from its old location on Dongjiaominxiang (Nan’guan) Street in Beijing and the construction of a new embassy campus on the territory of the former Russian Orthodox Mission (ROM) in the Beiguan district. The article substantiates the idea that, although the decision to move the address of the construction of the new Soviet embassy appeared spontaneously during the design work, it was dictated by the objective need to ensure favorable conditions for the activities and development of the embassy in the context of growing cooperation with the PRC. Moreover, the relocation of the Soviet embassy to another location was linked to the general plan of the Chinese government to move foreign diplomatic missions from the Legation Quarter of Beijing in order to “end the half-century shame” of China’s semi-colonial past. The article, based on archival data, provides a comparative analysis of the areas and volumes of office and residential buildings and other objects on the old and new embassy grounds, and describes the volume and nature of construction work and improvements, the implementation of which required significant costs and time (1954–1959). The article pays attention to the fact of destruction during construction of church buildings of the ROM. At the same time, the author points out that in recent years, some historical shrines have been restored on the embassy territory. Particularly important was the revival of the Dormition Church in 2009. Such an approach to some extent compensates for the losses incurred during the construction of the new embassy in the 1950s. The article concludes that the construction of the USSR embassy in a new location turned out to be correct and providential, since the land acquired by the first Russian people in Beijing — the Albazinians and the ROM, remained with our country Russia.

Skynet Astromancer Suite: Gravitymancer

The Gravitymancer processing tool within Skynet’s Astromancer suite opens a unique window for students of introductory astronomy courses to explore the most powerful events observed in our Universe – the merger of binary neutron-star systems and black-hole systems. These merger events produce short-lived bursts of gravitational radiation, as observed by one or more of the following gravitational-wave observatories: LIGO, Virgo, and KAGRA. Students can use Gravitymancer to load and interpret the archival event data, finding useful properties like the total mass and mass ratio of the binary system, distance, and inclination angle. While on the surface, students can interpret gravitational-wave events with an easy-to-use GUI, we present here the complex processing utilized to make this tool work.

A morphology-Euclidean-linear recognition method for rebar point clouds of highway tunnel linings during the construction phase

PurposeLaser point clouds are a 3D reconstruction method with wide range, high accuracy and strong adaptability. Therefore, the purpose is to discover a construction point cloud extraction method that can obtain complete information about the construction of rebar, facilitating construction quality inspection and tunnel data archiving, to reduce the cost and complexity of construction management.Design/methodology/approachFirstly, this paper analyzes the point cloud data of the tunnel during the construction phase, extracts the main features of the rebar data and proposes an M-E-L recognition method. Secondly, based on the actual conditions of the tunnel and the specifications of Chinese tunnel engineering, a rebar model experiment is designed to obtain experimental data. Finally, the feasibility and accuracy of the M-E-L recognition method are analyzed and tested based on the experimental data from the model.FindingsBased on tunnel morphology characteristics, data preprocessing, Euclidean clustering and PCA shape extraction methods, a M-E-L identification algorithm is proposed for identifying secondary lining rebars in highway tunnel construction stages. The algorithm achieves 100% extraction of the first-layer rebars, allowing for the three-dimensional visualization of the on-site rebar situation. Subsequently, through data processing, rebar dimensions and spacings can be obtained. For the second-layer rebars, 55% extraction is achieved, providing information on the rebar skeleton and partial rebar details at the construction site. These extracted data can be further processed to verify compliance with construction requirements.Originality/valueThis paper introduces a laser point cloud method for double-layer rebar identification in tunnels. Current methods rely heavily on manual detection, lacking objectivity. Objective approaches for automatic rebar identification include image-based and LiDAR-based methods. Image-based methods are constrained by tunnel lighting conditions, while LiDAR focuses on straight rebar skeletons. Our research proposes a 3D point cloud recognition algorithm for tunnel lining rebar. This method can extract double-layer rebars and obtain construction rebar dimensions, enhancing management efficiency.

The informatics of ADNI.

The Alzheimer's Disease Neuroimaging Initiative (ADNI) has revolutionized the landscape of Alzheimer's research through its Informatics Core, which has facilitated unprecedented data standardization and sharing. Over 20 years, ADNIestablished a robust informatics framework, enabling the validation of biomarkers and supporting global research efforts. The Informatics Core, centered at the Laboratory of Neuro Imaging (LONI), provides a comprehensive data hub that ensures data quality, accessibility, and security, fostering over 5600 publications and significant scientific advancements. By embracing open data sharing principles, ADNIset a gold standard in data transparency, allowing over 26,000 investigators from 169 countries to access and download a wealth of multimodal data. This collaborative approachnot only accelerated biomarker discovery and drug development and advanced our understanding of Alzheimer's disease but also has served as a model for other research initiatives, demonstrating the transformative potential of carefully designed informatics models and shared data in driving global scientific progress. HIGHLIGHTS: Accelerating biomarker discovery and drug development for Alzheimer's disease. Alzheimer's Disease Neuroimaging Initiative's (ADNI's) open data sharing drives scientific progress. Data exploration and coupled analytics to data archives.

Evidence for Primordial Alignment: Insights from Stellar Obliquity Measurements for Compact Sub-Saturn Systems

Despite decades of effort, the mechanisms by which the spin axis of a star and the orbital axes of its planets become misaligned remain elusive. In particular, it is of great interest whether the large spin–orbit misalignments observed are driven primarily by high-eccentricity migration—expected to have occurred for short-period, isolated planets—or reflect a more universal process that operates across systems with a variety of present-day architectures. Compact multiplanet systems offer a unique opportunity to differentiate between these competing hypotheses, as their tightly packed configurations preclude violent dynamical histories, including high-eccentricity migration, allowing them to trace the primordial disk plane. In this context, we report measurements of the sky-projected stellar obliquity (λ) via the Rossiter–McLaughlin effect for two sub-Saturns in multiple-transiting systems: TOI-5126 b (λ = 1 ± 48°) and TOI-5398 b ( λ=−8.1−6.3+5.3° ). Both are spin–orbit aligned, joining a fast-growing group of just three other compact sub-Saturn systems, all of which exhibit spin–orbit alignment. In aggregate with archival data, our results strongly suggest that sub-Saturn systems are primordially aligned and become misaligned largely in the postdisk phase, as appears to be the case increasingly for other exoplanet populations.

HST SHEL: Enabling Comparative Exoplanetology with HST/STIS

The Hubble Space Telescope (HST) has been our most prolific tool to study exoplanet atmospheres. As the age of JWST begins, there are a wealth of HST archival data that are useful to strengthen our inferences from JWST. Notably, HST/Space Telescope Imaging Spectrograph (STIS), with its 0.3–1 μm wavelength coverage, extends past JWST’s 0.6 μm wavelength cutoff and holds an abundance of potential information: alkali (Na, K) and molecular (TiO, VO) species opacities, aerosol information, and the presence of stellar contamination. However, time-series observations with HST suffer from significant instrumental systematics and can be highly dependent on choices made during the transit fitting process. This makes comparing transmission spectra of planets with different data reduction methodologies challenging, as it is difficult to discern whether an observed trend is caused by differences in data reduction or underlying physical processes. Here we present the Sculpting Hubble’s Exoplanet Legacy (SHEL) program, which aims to build a consistent data reduction and light-curve analysis methodology and associated database of transmission spectra from archival HST observations. In this paper, we present the SHEL analysis framework for HST/STIS and its low-resolution spectroscopy modes, G430L and G750L. We apply our methodology to four notable hot Jupiters, WASP-39 b, WASP-121 b, WASP-69 b, and WASP-17 b, and use these examples to discuss nuances behind analysis with HST/STIS. Our results for WASP-39 b, WASP-121 b, and WASP-17 b are consistent with past publications, but our analysis of WASP-69 b differs and shows evidence of either a strong scattering slope or stellar contamination. The data reduction pipeline and tutorials are available on Github and Zenodo.

Unveiling the Structure in Mental Disorder Presentations

DSM criteria are polythetic, allowing for heterogeneity of symptoms among individuals with the same disorder. In empirical research, most combinations were not found or only rarely found, prompting criticism of this heterogeneity. To elaborate how symptom-based definitions and assessments contribute to a distinct probability pattern for the occurrence of symptom combinations. This cross-sectional study involved a theoretical argument, simulation, and secondary data analysis of 4 preexisting datasets, each consisting of symptoms from 1 of the following syndromes: posttraumatic stress disorder, depression, schizophrenia, and anxiety. Data were obtained from various sources, including the National Institute of Mental Health Data Archive and Department of Veteran Affairs. A total of 155 474 participants were included (individual studies were 3930 to 63 742 individuals in size). Data were analyzed between July 2021 and January 2024. For each participant, the presence or absence of each assessed symptom and their combination was determined. The number of all combinations and their individual frequencies were assessed. Probability or frequency of unique symptom combinations and their distribution. Among the 155 474 participants, the mean (SD) age was 47.5 (14.8) years; 33 933 (21.8%) self-identified as female and 121 541 (78.2%) as male. Because of the interrelation between symptoms, some symptom combinations were significantly more likely than others. The distribution of the combinations' probability was heavily skewed with most combinations having a very low probability. Across all 4 empirical samples, the 1% most common combinations were prevalent in a total of 33.1% to 78.6% of the corresponding sample. At the same time, many combinations (ranging from 41.7% to 99.8%) were reported by less than 1% of the sample. This study found that within-disorder symptom heterogeneity followed a specific pattern consisting of few prevalent, prototypical combinations and numerous combinations with a very low probability of occurrence. Future discussions about the revision of diagnostic criteria should take this specific pattern into account by focusing not only on the absolute number of symptom combinations but also on their individual and cumulative probabilities. Findings from clinical populations using common diagnostic criteria may have limited generalizability to the large group of individuals with a low-probability symptom combination.

Commercial Airline Pilots’ Stress Across the Travel Cycle: Multi-Level Stressors, Spillover Effects, and the Role of Resources

Commercial airline pilots (CAPs) are a key employee group within the travel industry who are exposed to multi-level institutional and organizational demands that impact their lived experience of stress potentially leading to accidents and incidents. This study explores CAPs’ lived experience of stress and draws on conservation of resources theory and context and travel stage frameworks to investigate unique stressors that CAPs face at different travel stages. Utilizing qualitative data from interviews with 28 CAPs combined with archival data, we surface a range of multi-level factors that impact their lived experience of stress at each travel stage. To cope with stressors, and in the absence of valuable contextual resources, CAPs utilized multiple personal resources. We additionally found evidence of significant spillover across the travel stages. Findings highlight the need to improve contextual resources available to pilots, strengthen their personal resources, and customize support to the requirements of the travel stage.

Machine learning for exoplanet detection in high-contrast spectroscopy: Revealing exoplanets by leveraging hidden molecular signatures in cross-correlated spectra with convolutional neural networks

The new generation of observatories and instruments (VLT/ERIS, JWST, ELT) motivate the development of robust methods to detect and characterise faint and close-in exoplanets. Molecular mapping and cross-correlation for spectroscopy use molecular templates to isolate a planet's spectrum from its host star. However, reliance on signal-to-noise ratio metrics can lead to missed discoveries, due to strong assumptions of Gaussian-independent and identically distributed noise. We introduce machine learning for cross-correlation spectroscopy (MLCCS). The aim of this method is to leverage weak assumptions on exoplanet characterisation, such as the presence of specific molecules in atmospheres, to improve detection sensitivity for exoplanets. The MLCCS methods, including a perceptron and unidimensional convolutional neural networks, operate in the cross-correlated spectral dimension, in which patterns from molecules can be identified. The methods flexibly detect a diversity of planets by taking an agnostic approach towards unknown atmospheric characteristics. The MLCCS approach is implemented to be adaptable for a variety of instruments and modes. We tested this approach on mock datasets of synthetic planets inserted into real noise from SINFONI at the K-band. The results from MLCCS show outstanding improvements. The outcome on a grid of faint synthetic gas giants shows that for a false discovery rate up to $5<!PCT!>$, a perceptron can detect about $26$ times the amount of planets compared to an S/N metric. This factor increases up to $77$ times with convolutional neural networks, with a statistical sensitivity (completeness) shift from $0.7<!PCT!>$ to $55.5<!PCT!>$. In addition, MLCCS methods show a drastic improvement in detection confidence and conspicuity on imaging spectroscopy. Once trained, MLCCS methods offer sensitive and rapid detection of exoplanets and their molecular species in the spectral dimension. They handle systematic noise and challenging seeing conditions, can adapt to many spectroscopic instruments and modes, and are versatile regarding planet characteristics, enabling the identification of various planets in archival and future data.

#Fakefamous: how do influencers use disinformation to establish long-term credibility on social media?

PurposeCredible influencers play a key role in shaping the views and preferences of social media users. However, many influencers intentionally use disinformation (e.g. false narratives) to deceive users and gain their trust. This can have serious repercussions, not only for the firms that associate with these influencers but also for users. Further, and alarmingly, many influencers who use disinformation can sustain their credibility over time. This research explores how influencers use disinformation to establish long-term credibility on social media.Design/methodology/approachDrawing on self-presentation theory, we use an in-depth qualitative case study to address our research question, primarily relying on archival data obtained from multiple sources.FindingsOur findings suggest that three stages of self-presentation are required to establish influencer credibility based on disinformation: backstage (preparing to deceive), experimentation (testing deception), and frontstage (launching deceptive ideas on a large scale). We also find that when fraudulent influencers simultaneously weaponise a counterculture and mindfully encase disinformation, users view them as highly credible.Practical implicationsWe offer practical suggestions for regulating fraudulent influencers, including enacting fact-checking procedures, using IT artefacts as reliability signals, and building awareness programmes to develop vigilance in social media communities.Originality/valueWe contribute to self-presentation theory by adding experimentation as a critical stage in developing disinformation that works for long periods. We also contribute to the literature at the intersection of social media influencers and disinformation research by revealing why social media users believe in fraudulent influencers.

Multiple Misaligned Outflows and Warped Accretion Flows in the Proto-multiple System Per-emb-8 and 55

To investigate the formation process of multiple systems, we have analyzed the Atacama Large Millimeter/submillimeter Array archival data of the 1.3 mm continuum, 12CO (2-1) and C18O (2-1) emission in a proto-multiple system consisting of a Class 0 protostar Per-emb-8 and a Class I protobinary Per-emb-55 A and B. The 1.3 mm continuum emission is likely to primarily trace their protostellar disks, and the Keplerian disk rotation is observed in Per-emb-8 and Per-emb-55 A in the emission lines. In Per-emb-8, we identify two arm-like structures with a length of ∼1000 au connecting the eastern and western of its disk in the continuum and C18O emission. Our analysis suggests that these arm-like structures are most likely infalling flows. In the 12CO emission, we discover a second bipolar outflow associated with Per-emb-8. The two bipolar outflows in Per-emb-8 are possibly launched along the normal axes of the misaligned inner and outer parts of its warped protostellar disk. In Per-emb-55, we find that the red- and blueshifted lobes of its bipolar outflow are misaligned by 90°. The presence of the warped disk, multiple misaligned outflows, and asymmetric infalling flows suggest complex dynamics in proto-multiple systems, and these could be related to the tidal interactions between the companions and/or the turbulent environments forming this proto-multiple system.

Immersion and Distancing

The departure of a charismatic leader in an authoritarian system poses substantial risks for regime durability. Designated succession guarantees a smooth transfer of power and reduces the danger to regime longevity. The manner in which political successors leverage and institutionalize charismatic attachments to regime founders is crucial in determining their own and the regime’s political survival. This article presents a new theoretical framework for examining the process of post-charismatic legitimation in two personalistic autocracies: Azerbaijan and Kazakhstan. Authoritarian power justification can be understood through two modes of post-charismatic succession: immersion and distancing. If successfully performed, charismatic attachments and public loyalties to regime founders transfer to their appointees, reviving existing power narratives: an immersion strategy. However, if the charismatic leader loses popular support, the distancing strategy allows an anointed heir to reject patronal legacies. The comparison between post-charismatic successions in Baku and Astana demonstrates the practical implications of the immersion and distancing approaches to legitimation. This analysis is based on expert interviews, fieldwork notes, and archival data.

Ionospheric and meteorological response to total solar eclipses

Studies concerning solar eclipses have been rising significantly, yet, different circumstances during their occurrence provide uniqueness to every study. This paper studies the ionospheric and meteorological response to the total solar eclipses of August 21, 2017, March 20, 2015 and August 1, 2008. The ionospheric total electron content (TEC) was calculated from the signals beamed by the dual-frequency Global Positioning System (GPS) satellites and accessed from University NAVSTAR Consortium (UNAVCO) data archive. Similarly, the data of meteorological parameters were accessed from the historical climate archive of respective countries. The TEC drop of ∼2–7 TECU with a lag of ∼15–30 min is observed at varying latitudes which correspond with the findings of numerous past research. We analyzed the data of 15 stations under ∼100% obscuration to rule out the varying effects of different obscuration rates. Yet, given the turbulent nature of climate, we found varying changes at observed locations. A good relationship, however, was observed in 8 of the stations, where temperature drop ranged from 0.4 °C to 6.11 °C, and rise in relative humidity ranged from 0 to ∼77%. Wind speed has shown the most turbulent behavior. Their change was largely impacted by the eclipse on 5 of the stations, while the local factor was dominant on the others. In spite of this, the stations under observation showed distinct responses to the ionospheric change during the total solar eclipses, thus demonstrating the relation of meteorological parameters with eclipses.

The Human Connectome Project of adolescent anxiety and depression dataset

This article describes primary data and resources available from the Boston Adolescent Neuroimaging of Depression and Anxiety (BANDA) study, a novel arm of the Human Connectome Project (HCP). Data were collected from 215 adolescents (14–17 years old), 152 of whom had current diagnoses of anxiety and/or depressive disorders at study intake. Data include cross-sectional structural (T1- and T2-weighted), functional (resting state and three tasks), and diffusion-weighted magnetic resonance images. Both unprocessed and HCP minimally-preprocessed imaging data are available within the data release packages. Adolescent and parent clinical interview data, as well as cognitive and neuropsychological data are also included within these packages. Release packages additionally provide data collected from self-report measures assessing key features of adolescent psychopathology, including: anxious and depressive symptom dimensions, behavioral inhibition/activation, exposure to stressful life events, and risk behaviors. Finally, the release packages include 6- and 12-month longitudinal data acquired from clinical measures. Data are publicly accessible through the National Institute of Mental Health Data Archive (ID: #2505).

Orbital dynamics in the GG Tau A system: Investigating its enigmatic disc

Context. GG Tau is one of the most studied young multiple stellar systems: GG Tau A is a hierarchical triple surrounded by a massive disc and its companion, GG Tau B, is also a binary. Despite numerous observational attempts, a comprehensive understanding of the geometry of the GG Tau A system is still elusive. Given the significant role of dynamical interactions in shaping the evolution of these systems, it is relevant to characterise the stellar orbits and the discs’ properties. Aims. To determine the best orbital configuration of the GG Tau A system and its circumtriple disc, we provide new astrometric measures of the system and we run a set of hydrodynamical simulations with two representative orbits to test how they impact a disc composed of dust and gas. Methods. We tested the dynamical evolution of the two scenarios on short and long timescales. We obtained synthetic flux emission from our simulations at different timescales and we compared them with multi-wavelength observations of 1300 µm ALMA dust continuum emission and 1.67 µm SPHERE dust scattering to infer the most likely orbital arrangement. Results. We extend the analysis of the binary orbital parameters using six new epochs from archival data, showing that the current measurements alone (and future observations coming in the next 5–10 yr) are not capable of fully breaking the degeneracy between families of coplanar and misaligned orbits, but finding that a modest misalignment is probable. We find that the timescale for the onset of the disc eccentricity growth, τecc, is a fundamental timescale for the morphology of the system. Results from the numerical simulations obtained using the representative coplanar and misaligned (∆θ = 30°) orbits show that the best match between the position of the stars, the cavity size, and the dust ring size of GG Tau A is obtained with the misaligned configuration on timescales shorter than τecc. The results exhibit an almost circular cavity and dust ring, favouring slightly misaligned (∆θ ~ 10–30°) low-eccentricity (e ~ 0.2–0.4) orbits. However, for both scenarios, the cavity size and its eccentricity quickly grow for timescales longer than τecc and the models do not reproduce the observed morphology anymore. This implies that either the age of the system is shorter than τecc or that the disc eccentricity growth is not triggered or dissipated in the system. This finding raises questions about the future evolution of the GG Tau A system and, more generally, the time evolution of eccentric binaries and their circumbinary discs.

Base rates of failure on various performance validity tests as a function of age in adults referred for neuropsychological assessment.

This study aimed to investigate the relationship between age and base rates of failure (BRFail) on various performance validity tests (PVTs) administered in medical-legal settings. Archival data were analyzed from 3,297 adults (Mage = 42.3 years; Meducation = 11.2) referred for psychological or neuropsychological assessments in a medical-legal or forensic civil disability context who passed the Word Memory Test. BRFail on 10 PVTs (three freestanding and seven embedded) were reported at multiple cutoffs across five age groups ranging from 16 years to 69 years. BRFail increased with age on most embedded PVTs, with a couple of notable exceptions. Reliable Digit Span was unrelated to age at ≤6 but produced elevated BRFail among older examinees at ≤7. Within freestanding PVTs, a positive relationship emerged between age and BRFail on most instruments/cutoffs. Older age is associated with an increased risk of false positive errors on many embedded PVTs that rely on raw scores. Although freestanding PVTs tend to be more resistant to the effects of age, several commonly used cutoffs may still produce increased false positive rates in older examinees. Taken together, results suggest that PVT scores should be interpreted in the context of patient characteristics, in an evidence-based manner, rather than by rigidly applying omnibus cutoffs. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Active Dwarf Galaxy Database. I. Overlap between Active Galactic Nuclei Selected by Different Techniques

We assemble a sample of 733 dwarf galaxies (M * ≤ 109.5 M ⊙) with signatures of active galactic nuclei (AGN) and explore the intersection between different AGN-selection techniques. Objects in our database are compiled from previous studies that identify AGN in dwarf galaxies through spectroscopy, X-ray emission, infrared colors, and optical photometric variability. We apply a uniform set of AGN diagnostic tools to the database using archival data. We find that any single selection method captures no more than half of the overall AGN population, and there is a general disagreement among the AGN-selection methods in this stellar-mass regime. The largest overlap between methods is found when both methods use optical spectroscopic data. In contrast, the populations of AGN intersect the least when comparing those methods that use photometric data at different wavelengths. These results can be used to better constrain the active fraction in dwarf galaxies, which is in turn an important constraint for black hole seed formation models. In a follow-up paper, we will explore links between the effectiveness of each selection technique and host galaxy properties.

The clinicopathologic features of unicentric Castleman disease in the children's neck

Objective:To investigate the clinical features, imaging findings, pathological phenotype, treatment and prognosis of unicentric Castleman disease in the children's neck, in order to improve the understanding of CD among Otolaryngology Head and Neck Surgery. Methods:Retrospective cross-sectional, observational study was undertaken in Kunming Children's Hospital, from the archival data between January July 2015 and June 2020. Only 6 cases of CD were identified after studying the histomorphological characteristics and neck mass diagnosed. The imaging and pathological features were summarized and the pathogenesis was discussed. Results:Among the 6 cases of Castleman disease, five were male and one was female. Histopathology: Five cases were hyaline vascular subtype, one was mixed type. The uniform clinicopathologic features seen in all hyaline vascular subtype of CD included atrophic germinal centre with lymphocyte depletion, concentric rings of small lymphocytes, increased vascularity and predominance of high endothelial vessels in interfollicular region. Twinning, in which two or more germinal centers are combined and surrounded by lymphocytes in the mantle zone was observed in two cases with lollipop pattern at the same time. All the cases underwent complete surgical resection, the median follow-up time was 48 months（26, 84）, both of them had good prognosis. Conclusion:Most cases of unicentric type CD in children are diagnosed late, which is clinical showed by painless lymphadenopathy. The most common pathological type is hyaline vascular. The overall prognosis of surgical treatment was good.

ClickHouse - Lightning Fast Analytics for Everyone

Over the past several decades, the amount of data being stored and analyzed has increased exponentially. Businesses across industries and sectors have begun relying on this data to improve products, evaluate performance, and make business-critical decisions. However, as data volumes have increasingly become internet-scale, businesses have needed to manage historical and new data in a cost-effective and scalable manner, while analyzing it using a high number of concurrent queries and an expectation of real-time latencies (e.g. less than one second, depending on the use case). This paper presents an overview of ClickHouse, a popular open-source OLAP database designed for high-performance analytics over petabyte-scale data sets with high ingestion rates. Its storage layer combines a data format based on traditional log-structured merge (LSM) trees with novel techniques for continuous transformation (e.g. aggregation, archiving) of historical data in the background. Queries are written in a convenient SQL dialect and processed by a state-of-the-art vectorized query execution engine with optional code compilation. ClickHouse makes aggressive use of pruning techniques to avoid evaluating irrelevant data in queries. Other data management systems can be integrated at the table function, table engine, or database engine level. Real-world benchmarks demonstrate that ClickHouse is amongst the fastest analytical databases on the market.