Miracle-dz/UniFAR-FTUs huggingface dataset:
Complete Genome Sequence of Polynucleobacter sp. Strain TUM22923, Isolated from Antarctic Lake Sediment

Here, we report the complete genome sequence of Polynucleobacter sp. strain TUM22923, isolated from Antarctic lake sediment. This strain has a genome of 1,860,127 bp, comprising 1,848 protein-coding sequences. These sequence data could contribute to the elucidation of genome streamlining and low-temperature adaptation in members of Polynucleobacter, a cosmopolitan group of ultramicrobacteria. ABSTRACT Here, we report the complete genome sequence of Polynucleobacter sp. strain TUM22923, isolated from Antarctic lake sediment. This strain has a genome of 1,860,127 bp, comprising 1,848 protein-coding sequences. These sequence data could contribute to the elucidation of genome streamlining and low-temperature adaptation in members of Polynucleobacter, a cosmopolitan group of ultramicrobacteria.
Non-classical monocytes promote neurovascular repair in cerebral small vessel disease associated with microinfarctions via CX3CR1

Cerebral small vessel disease (cSVD) constitutes a major risk factor for dementia. Monocytes play important roles in cerebrovascular disorders. Herein, we aimed to investigate the contribution of non-classical C-X3-C motif chemokine receptor (CX3CR)1 monocytes to cSVD pathobiology and therapy. To this end, we generated chimeric mice in which CX3CR1 in non-classical monocytes was either functional (CX3CR1GFP/+) or dysfunctional (CX3CR1GFP/GFP). cSVD was induced in mice via the micro-occlusion of cerebral arterioles, and novel immunomodulatory approaches targeting CX3CR1 monocyte production were used. Our findings demonstrate that CX3CR1GFP/+ monocytes transiently infiltrated the ipsilateral hippocampus and were recruited to the microinfarcts 7 days after cSVD, inversely associated with neuronal degeneration and blood-brain barrier (BBB) disruption. Dysfunctional CX3CR1GFP/GFP monocytes failed to infiltrate the injured hippocampus and were associated with exacerbated microinfarctions and accelerated cognitive decline, accompanied with an impaired microvascular structure. Pharmacological stimulation of CX3CR1GFP/+ monocyte generation attenuated neuronal loss and improved cognitive functions by promoting microvascular function and preserving cerebral blood flow (CBF). These changes were associated with elevated levels of pro-angiogenic factors and matrix stabilizers in the blood circulation. The results indicate that non-classical CX3CR1 monocytes promote neurovascular repair after cSVD and constitute a promising target for the development of new therapies.
Distributive o w control in multihop ad hoc communication networks

Wireless multihop ad hoc communication networks represent an infrastructureless and self-organised generalisation of todays wireless cellular networks. Lacking a central control authority, the ad hoc devices (nodes) have to organise data traffic and information flow by use of distributive, local control actions such that the overall, global system performs in an optimal way. One important issue is the connectivity of a network which is a prerequisite for multihop connections between participating nodes. A simple distributed protocol is constructed by referring to continuum percolation, guaranteeing strong connectivity almost surely and independently of various spatial arrangements of ad hoc nodes. For the statistical analysis of the dynamical properties of data traffic a generic simulation model is developed that includes the relevant mechanisms of a real-world scenario. By introducing graph theoretical measures an analytical understanding is provided on a global as well as on a local, single-node scale. The overall network performance is limited by heavily used bottelneck nodes. These limitations are removed with a newly developed distributed routing algorithm based on the idea of adaptive distance vector routing. The algorithm is able to independently learn about the congestion state of the network and to adapt the routing decisions to local changes in the network load. Zusammenfassung Drahtlose multihop ad hoc Kommunikationsnetze stellen eine selbstorganisierende Verallgemeinerung heutiger zellulärer Netze dar. Da diese ad hoc Netze ohne zentrale Kontrolleinheiten arbeiten, ist es Aufgabe der beteiligten Geräte (Knoten) selbständig ein Netzwerk aufzubauen, das durch lokale Regeln den Austausch von Daten ermöglicht und dabei zu einem optimalen Gesamtzustand des Systems führt. Eine erste wichtige Frage ist die nach der Verknüpftheit des Netzwerkes, die eine Grundvoraussetzung für multihop Verbindungen zwischen einzelnen Knoten darstellt. In Anlehnung an die Kontinuumsperkolation wird ein lokales Protokoll vorgestellt, das Verknüpftheit weitgehend sichert und sich unabhängig auf verschiedene räumliche Anordnungen der ad hoc Knoten einstellt. Für die statistische Analyse der dynamischen Eigenschaften des Datenverkehrs auf speziellen ad hoc Netzen wird ein realitätsnahes Simulationsmodell aufgestellt. Durch die Einführung graphentheoretischer Maße können sowohl globale wie auch lokale Observable adäquat beschrieben werden. Die Gesamtleistung des Systems wird durch besonders häufig genutzte Knoten beschränkt. Durch die Einführung eines neuartigen, lokalen Algorithmus zur Steuerung des Datenverkehrs können diese Beschränkungen umgangen werden. Der Algorithmus ist in der Lage, selbständig den Lastzustand des Netzwerkes zu erlernen und darüber hinaus den Datenverkehrsfluss der lokalen Lastverteilung anzupassen.
Association Between Lenke Classification, The Extent of Lumbar Spinal Fusion, and Health-Related Quality of Life After Instrumented Spinal Fusion for Adolescent Idiopathic Scoliosis

Study Design. Prospective cohort study. Summary of Background Data. Lenke classification is used to define the curve type in adolescent idiopathic scoliosis (AIS). The association of Lenke classification and long-term postoperative health-related quality of life (HRQoL) remains unclear. Objective. The purpose of this study was to assess the association between Lenke classification and HRQoL in patients who underwent spinal fusion for AIS. Materials and Methods. In all, 146 consecutive patients (mean age 15.1 yr) operated for AIS between 2007 and 2019 with a minimum 2-year follow-up were included. Fifty-three (36%) patients reached the 10-year follow-up. Their HRQoL was assessed with the SRS-24 questionnaire preoperatively, at six months, two years, and 10 years after surgery. Results. The preoperative major curve was the largest in Lenke 3 (mean 63°) and 4 (mean 62°) groups and the lowest in Lenke 5 groups (mean 48°, P<0.05). These curves were corrected to a mean of 15° with no differences between groups. We found no evidence of differences between the preoperative HRQoL scores between the Lenke groups. The self-image domain of SRS-24 was lower in patients with isolated major thoracolumbar scoliosis (Lenke 5) when compared with double-thoracic (Lenke 2) group at the two-year follow-up (mean [95% CI] 3.6 [3.3–3.9] vs. 4.3 [4.1–4.6]). The postoperative satisfaction domain was lower in Lenke 5 group when compared with main thoracic (Lenke 1) group (mean [95% CI] 3.8 [3.5–4.0] vs. 4.3 [4.2–4.5]) and Lenke 2 group (mean 4.4, 95% CI 4.2–4.6) at the two-year follow-up. The mean total score of SRS-24 at the 10-year follow-up was highest in Lenke 1 group (mean 4.06, 95% CI 3.79–4.33) and lowest in Lenke 6 group (mean 2.92, 95% CI 2.22–3.61). Conclusions. Lenke classification and especially its curve type (major thoracic vs. major thoracolumbar scoliosis) was associated with long-term health-related quality of life after instrumented spinal fusion for AIS.
Calculations of the free energy of dislocation defects in lamellae forming diblock copolymers using thermodynamic integration

Abstract. State-of-the-art directed self-assembly (DSA) of block copolymer (BCP) methods still yield defect densities orders of magnitude higher than is necessary in semiconductor fabrication. The defect free energy of a dislocation pair or jog defect, one of the most common defects found in BCP-DSA, is calculated via thermodynamic integration using a coarse-grained molecular dynamics model as a function of χ and the degree of polymerization (N). It is found that χN is not the best predictor of defect free energy and that a single χN value can yield vastly different free energies when χ and N are different. Defect free energy was highly dependent on defect location relative to the underlayer, and free energy differences ∼100 kT were found among the three possible defect locations on a 1:3 guiding pattern. It was found that increasing molar mass dispersity (Ð) significantly reduced defect free energy. Extrapolating from Ð up to 1.5 suggests that the defect will occur in equal proportions to the defect free state at a Ð of around 1.6 for this system. It was found that long chains tended to concentrate near the defect and stabilize the defect.
Solving uncertain TSP problem using ant algorithm

This paper firstly proposes uncertain Traveling Salesman Problem(TSP) model.This model assumes the distances as dynamic.For application,this model considers the uncertain situations in the traffic system.Compared with the classical TSP problem,this model is more flexible and also has more application value.This mode is more properly for vehicle to choose the best route.This paper also proposes a hybrid approach which is based on ant system to solve the problem of uncertain TSP and the evalution criterion of the solution.Experiment results show that this approach can accelerate the convergence.So it is an effective approach to solve the uncertain TSP problem.
Cognitive Development in Single-Suture Craniosynostosis – A Systematic Review

ABSTRACT There is conflicting evidence whether single-suture craniosynostosis (SSC), is linked to adversities of cognitive development. To assess the evidence for a link between SSC and cognition, a systematic literature search was conducted and eligible studies assessed for inclusion by two independent readers. Forty-eight studies met inclusion criteria. Small to medium but persistent effects on both general and some specific cognitive functions across age bands were found in higher quality studies for SSC overall. There was limited evidence for effects related to surgical correction. Methodologies varied substantially and there was a lack of longitudinal studies using broad assessment batteries.
A novel brain source reconstruction using a multivariate mode decomposition

Objective. Brain source reconstruction through electroencephalogram is a challenging issue in brain research with possible applications in cognitive science as well as brain damage and dysfunction recognition. Its goal is to estimate the location of each source in the brain along with the signal being produced. Approach. In this paper, by assuming a small number of band limited sources, we propose a novel method for the problem by using successive multivariate variational mode decomposition (SMVMD). Our new method can be considered as a blind source estimation method, which means that it is capable of extracting the source signal without the knowledge of the location of the source or its lead field vector. In addition, the source location can be determined through comparing the mixing vector found in SMVMD and the lead filed vectors of the entire brain. Main results. The simulations verify that our method leads to performance improvement in comparison to the well-known localization and source signal estimation techniques such as MUltiple SIgnal Calssification (MUSIC), recursively applied and projected MUSIC, dipole fitting method, MV beamformer, and standardized low-resolution brain electromagnetic tomography. Significance. The proposed method enjoys low computational complexity. Moreover, our investigations on some experimental epileptic data confirm its superiority over the MUSIC method in the aspect of localization accuracy.
Eastern Equine Encephalitis Virus Diversity in Massachusetts Patients, 1938–2020

ABSTRACT. Eastern equine encephalitis virus (EEEV) is a relatively little-studied alphavirus that can cause devastating viral encephalitis, potentially leading to severe neurological sequelae or death. Although case numbers have historically been low, outbreaks have been increasing in frequency and scale since the 2000 s. It is critical to investigate EEEV evolutionary patterns, especially within human hosts, to understand patterns of emergence, host adaptation, and within-host evolution. To this end, we obtained formalin-fixed paraffin-embedded tissue blocks from discrete brain regions from five contemporary (2004–2020) patients from Massachusetts, confirmed the presence of EEEV RNA by in situ hybridization (ISH) staining, and sequenced viral genomes. We additionally sequenced RNA from scrapings of historical slides made from brain sections of a patient in the first documented EEE outbreak in humans in 1938. ISH staining revealed the presence of RNA in all contemporary samples, and quantification loosely correlated with the proportion of EEEV reads in samples. Consensus EEEV sequences were generated for all six patients, including the sample from 1938; phylogenetic analysis using additional publicly available sequences revealed clustering of each study sample with like sequences from a similar region, whereas an intrahost comparison of consensus sequences between discrete brain regions revealed minimal changes. Intrahost single nucleotide variant (iSNV) analysis of four samples from two patients revealed the presence of tightly compartmentalized, mostly nonsynonymous iSNVs. This study contributes critical primary human EEEV sequences, including a historic sequence as well as novel intrahost evolution findings, contributing substantially to our understanding of the natural history of EEEV infection in humans.
Domain-Scalable Unpaired Image Translation via Latent Space Anchoring

Unpaired image-to-image translation (UNIT) aims to map images between two visual domains without paired training data. However, given a UNIT model trained on certain domains, it is difficult for current methods to incorporate new domains because they often need to train the full model on both existing and new domains. To address this problem, we propose a new domain-scalable UNIT method, termed as latent space anchoring, which can be efficiently extended to new visual domains and does not need to fine-tune encoders and decoders of existing domains. Our method anchors images of different domains to the same latent space of frozen GANs by learning lightweight encoder and regressor models to reconstruct single-domain images. In the inference phase, the learned encoders and decoders of different domains can be arbitrarily combined to translate images between any two domains without fine-tuning. Experiments on various datasets show that the proposed method achieves superior performance on both standard and domain-scalable UNIT tasks in comparison with the state-of-the-art methods.
Kindlin stabilizes the talin·integrin bond under mechanical load by generating an ideal bond

Significance Integrin-mediated cell adhesion is essential for metazoan life. Integrins mediate the mechanical communication between extracellular matrix and cytoskeleton. How a stable mechanical connection between integrins and the actomyosin cytoskeleton can be sustained is far from being fully understood. Key players in the mechanical connection between integrin and actomyosin are the adaptor proteins, talin and kindlin. Using single-molecule mechanical measurements, we found that the bond between talin and integrin alone is weak. However, in the presence of kindlin, the integrin·talin bond is stabilized and rendered force independent, making it a so-called ideal bond. Our findings suggest a unique stabilization mechanism that could help in forming stable integrin adhesion sites.
Standard relationship adjustment of dual frequency altimeter backscatter coefficient

The Ku band and C band backscatter coefficient standard relationship plays an important role in dual frequency altimeter wind speed retrieval when it is raining.To improve the precision of wind speed retrieval,it is very important to put forward proper standard relationship.A new standard relationship based on polynomial regression was advanced by comparing with the 7.5 years of data of Jason-1.Statistical results indicate that the new method is more accurate than Quartly's and Yang's standard relationship.This relationship provides new theoretical basis for wind retrieval when it is raining.During regression,the standard relationship may depend on other items,and the precession may improve if these items are taken into account.
3D mapping of nanoscale electric potentials in semiconductor structures using electron-holographic tomography

Off-axis electron holography (EH) is a powerful method for mapping projected electric potentials, such as built-in potentials in semiconductor devices, in two dimensions (2D) at nanometer resolution. However, not well-defined thickness profiles, surface effects, and composition changes of the sample under investigation complicate the interpretation of the projected potentials. Here, we demonstrate how these problems can be overcome by combining EH with tomographic techniques, that is, electron holographic tomography (EHT), reconstructing electric potentials in 3D. We present EHT reconstructions of an n-type MOSFET including its dopant-related built-in potentials inside the device, as well as of a GaAs/AlGaAs core-multishell nanowire containing a 5 nm thick quantum well tube.
Abstraction of Dynamical Systems by Timed

To enable formal verication of a dynamical system, given by a set of dierential equations, it is abstracted by a nite state model. This allows for application of methods for model checking. Consequently, it opens the possibility of carrying out the verication of reachability and timing requirements, which by classical control methods is impossible. We put forward a method for abstracting dynamical systems, where level sets of Lyapunov functions are used to generate the partitioning of the state space. We propose to partition the state space using an entire family of functions. The properties of these functions ensure that the discrete model captures the behaviors of a dynamical system by generating appropriate equivalence classes of the states. These equivalence classes make up the partition of the state space.
The moderating role of depression in the association between hypertension during pregnancy and birth outcomes

ABSTRACT Objective Investigate how hypertension during pregnancy (HDP) and depression during pregnancy (DDP) independently and jointly affect infant birth outcomes. Methods This population-based, retrospective cohort study included a sample of 68,052 women who participated in PRAMS 2016–2018 survey. Poisson regression was used for adjusted relative risks (aRRs). Results Compared to women without HDP and DDP, aRRs for PTB and LBW among women with both HDP and DDP are 2.04 (95% CI 1.73, 2.42) and 2.84 (95% CI 2.27, 3.56), respectively, albeit lower than the expected joint effect of risk. Conclusion DDP may modify the association between HDP and PTB, LBW.
Antihypertensive effects of Nigella sativa supplementation: An updated systematic review and meta‐analysis of randomized controlled trials

Clinical studies have suggested that Nigella Sativa (N. sativa) supplementation may effectively reduce blood pressure, but the findings are controversial. Therefore, this study aimed to examine the effects of N. sativa on blood pressure in adults. PubMed, Cochrane Library, Web of Science, Scopus, Embase databases, and Google Scholar were searched till August 2022. To analyze weighted mean differences (WMDs), a random‐effects model was utilized. Nonlinear dose–response analysis and a meta‐regression were conducted. N. sativa supplementation was effective in reducing both systolic (WMD: −3.06 mmHg; 95% CI: −3.89 to −2.22, p < 0.001; I2 = 84.7%, p < 0.001) and diastolic blood pressure (WMD = −2.69 mmHg; 95% CI: −3.72, −1.66, p < 0.001; I2 = 97.3%, p < 0.001). The current meta‐analysis suggests that N. sativa supplementation can improve blood pressure and claims that N. sativa could be used as an effective approach to blood pressure management.
Expanded Multivariable Models to Assist Patient Selection for Long-Acting Cabotegravir + Rilpivirine Treatment: Clinical Utility of a Combination of Patient, Drug Concentration, and Viral Factors Associated With Virologic Failure

Abstract Background Previously reported post hoc multivariable analyses exploring predictors of confirmed virologic failure (CVF) with cabotegravir + rilpivirine long-acting (CAB + RPV LA) were expanded to include data beyond week 48, additional covariates, and additional participants. Methods Pooled data from 1651 participants were used to explore dosing regimen (every 4 or every 8 weeks), demographic, viral, and pharmacokinetic covariates as potential predictors of CVF. Prior dosing regimen experience was accounted for using 2 populations. Two models were conducted in each population—baseline factor analyses exploring factors known at baseline and multivariable analyses exploring baseline factors plus postbaseline model-predicted CAB/RPV trough concentrations (4 and 44 weeks postinjection). Retained factors were evaluated to understand their contribution to CVF (alone or in combination). Results Overall, 1.4% (n = 23/1651) of participants had CVF through 152 weeks. The presence of RPV resistance-associated mutations, human immunodeficiency virus-1 subtype A6/A1, and body mass index ≥30 kg/m2 were associated with an increased risk of CVF (P < .05 adjusted incidence rate ratio), with participants with ≥2 of these baseline factors having a higher risk of CVF. Lower model-predicted CAB/RPV troughs were additional factors retained for multivariable analyses. Conclusions The presence of ≥2 baseline factors (RPV resistance-associated mutations, A6/A1 subtype, and/or body mass index ≥30 kg/m2) was associated with increased CVF risk, consistent with prior analyses. Inclusion of initial model-predicted CAB/RPV trough concentrations (≤first quartile) did not improve the prediction of CVF beyond the presence of a combination of ≥2 baseline factors, reinforcing the clinical utility of the baseline factors in the appropriate use of CAB + RPV LA.
Median as a Weighted Arithmetic Mean of All Sample Observations

This paper shows how median may be computed as a weighted arithmetic mean of all sample observations, unlike the conventional method that obtains median as the middle value (odd observations) or a simple mean of the two middlemost values (even observations). Monte Carlo experiments have been carried out to investigate the bias, efficiency and consistency of the alternative methods.
The Moisture Mode in the Quasi-Equilibrium Tropical Circulation Model. Part II: Nonlinear Behavior on an Equatorial β Plane

Abstract Numerical calculations of a simplified quasi-equilibrium tropical circulation model (QTCM) on the equatorial β plane have been performed to explore the nonlinear regime of the moisture mode. Sensitivity tests have examined the effects of nonlinear advection and nonlinear wind-induced surface heat exchange (WISHE). Starting from a spatially homogeneous radiative–convective equilibrium with some background gustiness, the model develops quasi-stationary moisture modes, as expected from linear analysis. Upon nonlinear saturation due to thermodynamic limiting processes, a different regime emerges. A classical Gill model augmented with a prognostic humidity variable is found to be able to capture the nonlinear dynamics of the moisture mode; the time evolution solely resides in the humidity variable, and it is possible to understand its dynamics by examining the humidity budget. A scaling analysis shows that the approximation with a Gill model is valid for disturbances whose time scale is much longer th.