Miracle-dz/UniFAR-FTUs huggingface dataset:
The Incompetence of Mosquitoes—Can Zika Virus Be Adapted To Infect Culex tarsalis Cells?

ZIKV is mainly transmitted between humans by Aedes mosquitoes. In nature, ZIKV-infected Culex mosquitoes have been found, and ZIKV infrequently infects Culex mosquitoes under laboratory conditions. ABSTRACT The molecular evolutionary mechanisms underpinning virus-host interactions are increasingly recognized as key drivers of virus emergence, host specificity, and the likelihood that viruses can undergo a host shift that alters epidemiology and transmission biology. Zika virus (ZIKV) is mainly transmitted between humans by Aedes aegypti mosquitoes. However, the 2015 to 2017 outbreak stimulated discussion regarding the role of Culex spp. mosquitoes in transmission. Reports of ZIKV-infected Culex mosquitoes, in nature and under laboratory conditions, resulted in public and scientific confusion. We previously found that Puerto Rican ZIKV does not infect colonized Culex quinquefasciatus, Culex pipiens, or Culex tarsalis, but some studies suggest they may be competent ZIKV vectors. Therefore, we attempted to adapt ZIKV to Cx. tarsalis by serially passaging virus on cocultured Ae. aegypti (Aag2) and Cx. tarsalis (CT) cells to identify viral determinants of species specificity. Increasing fractions of CT cells resulted in decreased overall virus titer and no enhancement of Culex cell or mosquito infection. Next-generation sequencing of cocultured virus passages revealed synonymous and nonsynonymous variants throughout the genome that arose as CT cell fractions increased. We generated nine recombinant ZIKVs containing combinations of the variants of interest. None of these viruses showed increased infection of Culex cells or mosquitoes, demonstrating that variants associated with passaging were not specific to increased Culex infection. These results reveal the challenge of a virus adapting to a new host, even when pushed to adapt artificially. Importantly, they also demonstrate that while ZIKV may occasionally infect Culex mosquitoes, Aedes mosquitoes likely drive transmission and human risk. IMPORTANCE ZIKV is mainly transmitted between humans by Aedes mosquitoes. In nature, ZIKV-infected Culex mosquitoes have been found, and ZIKV infrequently infects Culex mosquitoes under laboratory conditions. Yet, most studies show that Culex mosquitoes are not competent vectors for ZIKV. We attempted to adapt ZIKV to Culex cells to identify viral determinants of species specificity. We sequenced ZIKV after it was passaged on a mixture of Aedes and Culex cells and found that it acquired many variants. We generated recombinant viruses containing combinations of the variants of interest to determine if any of these changes enhance infection in Culex cells or mosquitoes. Recombinant viruses did not show increased infection in Culex cells or mosquitoes, but some variants increased infection in Aedes cells, suggesting adaptation to those cells instead. These results reveal that arbovirus species specificity is complex, and that virus adaptation to a new genus of mosquito vectors likely requires multiple genetic changes.
The energetics of rapid cellular mechanotransduction

Significance The rapid transduction of mechanical forces is crucial to our senses of touch and proprioception in addition to regulating homeostatic processes such as blood pressure and bone density. This work combines atomic force microscopy and electrophysiology to provide a perspective toward quantifying how cells function and specialize as sensors of mechanical energy, which is a prerequisite for understanding how stimulus intensity and dynamics are decoded.
TKIs in combination with immunotherapy for hepatocellular carcinoma

ABSTRACT Introduction The treatment landscape of hepatocellular carcinoma (HCC) has significantly changed over the last 5 years with multiple options in the frontline, second line, and beyond. Tyrosine kinase inhibitors (TKIs) were the first approved systemic treatments for the advanced stage of HCC; however, thanks to the increasing knowledge and characterization of the immunological features of the tumor microenvironment, the systemic treatment of HCC has been further expanded with the immune checkpoint inhibitor (ICI) approach and the following evidence of the higher efficacy obtained with combined treatment with atezolizumab plus bevacizumab over sorafenib. Areas covered In this review, we look at rationale, efficacy, and safety profiles of current and emerging ICI/TKI combination treatments and discuss the available results from other clinical trials using similar combinatorial therapeutic approaches. Expert opinion Angiogenesis and immune evasion are the two key pathogenic hallmarks of HCC. While the pioneering regimen of atezolizumab/bevacizumab is consolidating as the first-line treatment of advanced HCC, it will be essential, in the near future, to determine the best second-line treatment options and how to optimize the selection of the most effective therapies. These points still need to be addressed by future studies that are largely warranted to enhance the treatment’s effectiveness and ultimately to tackle down HCC lethality.
Pulse sequences in photoassociation via adiabatic passage

We perform a detailed study of pulse sequences in a photoassociation via adiabatic passage (PAP) process to transfer population from an ensemble of ultracold atomic clouds to a vibrationally cold molecular state. We show that an appreciable final population of ultracold NaCs molecules can be achieved with optimized pulses in either the ‘counter-intuitive’ (tP > tS) or ‘intuitive’ (tP < tS) PAP pulse sequences, with tP and tS denoting the temporal centers of the pump and Stokes pulses, respectively. By investigating the dependence of the reactive yield on pulse sequences, in a wide range of tP–tS, we show that there is not a fundamental preference to either pulse sequence in a PAP process. We explain this no-sequence-preference phenomenon by analyzing a multi-bound model so that an analogy can be drawn to the conventional stimulated Raman adiabatic passage.
Brain network deficits in breast cancer patients after early neoadjuvant chemotherapy: A longitudinal MRI study

Breast cancer (BC) patients who undergo chemotherapy are likely to develop chemotherapy‐related cognitive impairment (CRCI). Recent studies of BC patients after chemotherapy have used graph theory to investigate the topological properties of the brain functional connectome. However, little is known about structural morphological networks in BC patients after early neoadjuvant chemotherapy (NAC). Brain morphological network organization in 47 female participants with BC was investigated before and after NAC. Topological properties of brain networks were ascertained based on morphological similarities in regional gray matter using a graph theory approach based on 3D T1‐weighted MRI data. Nonparametric permutation testing was used to assess longitudinal‐group differences in topological metrics. Compared with BC patients before NAC, BC patients after early NAC showed significantly increased global efficiency (p = .048), decreased path length (p = .033), and abnormal nodal properties and connectivity, mainly located in the central executive network (CEN). The change in the network efficiency of the right caudate was negatively correlated with the change in the Self‐Rating Anxiety Scale score (r = −.435, p = .008), and the change in the nodal degree of the left superior frontal gyrus (dorsolateral part) was positively correlated with the change in the Functional Assessment of Cancer Therapy score (r = .547, p = .002). BC participants showed randomization in global properties and dysconnectivity in the CEN after early NAC. NAC may disrupt the cognitive balance of the brain morphological network in individuals with BC.
A Proposal of New Breaker Height Formula

A new breaker height formula is developed based on a re-analysis of available laboratory data. The analysis shows that the breaking wave steepness is mainly governed by its deepwater wave steepness. The power form could be used to fit the relationship between breaking wave steepness and its deepwater wave steepness. This finding is new. Although the breaker height has been a subject of study for a century, no researcher has tried to relate the breaking wave steepness to the deepwater wave steepness. Bottom slope effect is included explicitly into the present formula. The present formula and existing formulas are examined and compared with a large number and wide range of published laboratory data (695 cases collected from 26 sources). Overall, the present formula gives very good predictions over a wide range of experimental conditions and is better than existing formulas.
Allogeneic hematopoietic cell transplantation, the microbiome, and graft-versus-host disease

ABSTRACT Many patients with hematological malignancies, such as acute myeloid leukemia, receive an allogeneic hematopoietic cell transplantation (HCT) to cure their underlying condition. Allogeneic HCT recipients are exposed to various elements during the pre-, peri- and post-transplant period that can disrupt intestinal microbiota, including chemo- and radiotherapy, antibiotics, and dietary changes. The dysbiotic post-HCT microbiome is characterized by low fecal microbial diversity, loss of anaerobic commensals, and intestinal domination, particularly by Enterococcus species, and is associated with poor transplant outcomes. Graft-versus-host disease (GvHD) is a frequent complication of allogeneic HCT caused by immunologic disparity between donor and host cells and results in tissue damage and inflammation. Microbiota injury is particularly pronounced in allogeneic HCT recipients who go on to develop GvHD. At present, manipulation of the microbiome for example, via dietary interventions, antibiotic stewardship, prebiotics, probiotics, or fecal microbiota transplantation, is widely being explored to prevent or treat gastrointestinal GvHD. This review discusses current insights into the role of the microbiome in GvHD pathogenesis and summarizes interventions to prevent and treat microbiota injury.
Decision-making in autism: A narrative review

Autistic people often have an atypical profile of abilities: while excelling in some structured paradigms, many report difficulties with making real-life decisions. To test whether decision-making in autism is different from in typically developing controls, we reviewed 104 studies that compared decision-making performance between autistic and comparison participants (N = 2712 autistic and N = 3189 comparison participants) between 1998 and 2022. Our searches revealed four main decision-making paradigms that are widely used in the field of decision neuroscience: perceptual discrimination, reward learning, metacognition and value-based decision-making paradigm. Our synthesis highlights that perceptual processing and reward learning were similar between autistic and comparison participants, whereas value-based decision-making and metacognitive accuracy were often different between groups. Furthermore, decision-making differences were most pronounced when the autistic participant was explicitly probed to report on an internal belief, while implicit markers of the same decision (e.g. error-related response times) were usually not different. Our findings provide evidence in favour of a metacognitive explanation of decision-making atypicalities in autism. Lay summary Many autistic people report difficulties with real-life decision-making. However, when doing decision-making tests in laboratory experiments, autistic people often perform as well or better than non-autistic people. We review previously published studies on autistic people’s decision-making, across different types of tests, to understand what type of decision-making is more challenging. To do this, we searched four databases of research papers. We found 104 studies that tested, in total, 2712 autistic and 3189 comparison participants on different decision-making tasks. We found that there were four categories of decision-making tests that were used in these experiments: perceptual (e.g. deciding which image has the most dots); reward learning (e.g. learning which deck of cards gives the best reward); metacognition (e.g. knowing how well you perform or what you want); and value-based (e.g. making a decision based on a choice between two outcomes that differ in value to you). Overall, these studies suggest that autistic and comparison participants tend to perform similarly well at perceptual and reward-learning decisions. However, autistic participants tended to decide differently from comparison participants on metacognition and value-based paradigms. This suggests that autistic people might differ from typically developing controls in how they evaluate their own performance and in how they make decisions based on weighing up the subjective value of two different options. We suggest these reflect more general differences in metacognition, thinking about thinking, in autism.
Evaluation of Elasto-Plastic Buckling Strength of Two-Way Grid Shells Using Continuum Analogy

The present paper aims to propose a method to evaluate elasto-plastic buckling strength of two-way grid shells, using mathematical formulas for linear buckling derived based on the continuum shell analogy. The paper is organised from two principal points of view. In the first discussion, we derive two formulas for linear buckling of two-way grid shells by substituting the equivalent continuum rigidity into the buckling formulas for orthotropic shells. The applicability of the formulas is verified using several structural examples by comparison with the other proposed formulas and FEM results. In the second discussion, based on the concept of column buckling, an effective approach to estimate elasto-plastic buckling strength of two-way grid shells is demonstrated. In the estimation procedure, the buckling formulas derived in the first discussion are effectively applied to obtain the generalised slenderness.
Large-scale contribution to mean wall shear stress in high-Reynolds-number flat-plate boundary layers up to $\mathbf{Re}_{\boldsymbol{\theta}}{=}$ 13650

Abstract A numerical investigation of the mean wall shear stress properties on a spatially developing turbulent boundary layer over a smooth flat plate was carried out by means of a zonal detached eddy simulation (ZDES) technique for the Reynolds number range $3060\leq Re_{\theta }\leq 13\, 650$ . Some asymptotic trends of global parameters are suggested. Consistently with previous findings, the calculation confirms the occurrence of very large-scale motions approximately $5\delta $ to $6 \delta $ long which are meandering with a lateral amplitude of $0.3 \delta $ and which maintain a footprint in the near-wall region. It is shown that these large scales carry a significant amount of Reynolds shear stress and their influence on the skin friction, denoted $C_{f,2}$ , is revisited through the FIK identity by Fukagata, Iwamoto & Kasagi (Phys. Fluids, vol. 14, 2002, p. L73). It is argued that $C_{f,2}$ is the relevant parameter to characterize the high-Reynolds-number turbulent skin friction since the term describing the spatial heterogeneity of the boundary layer also characterizes the total shear stress variations across the boundary layer. The behaviour of the latter term seems to follow some remarkable self-similarity trends towards high Reynolds numbers. A spectral analysis of the weighted Reynolds stress with respect to the distance to the wall and to the wavelength is provided for the first time to our knowledge and allows us to analyse the influence of the largest scales on the skin friction. It is shown that structures with a streamwise wavelength $\lambda _x >\delta $ contribute to more than $60\, \%$ of $C_{f,2}$ , and that those larger than $\lambda _x >2\delta $ still represent approximately $45\, \%$ of $C_{f,2}$ .
Intersectionality of Race, Ethnicity, and Gender in the Otolaryngology Match From 2013 to 2019

Racial, ethnic, and gender disparities in the otolaryngology‐head and neck surgery (OHNS) match have been described individually, but not intersectionally. Intersectionality recognizes how multiple forms of discrimination (e.g., sexism, racism) can have a combined effect. The objective of this study was to analyze racial, ethnic, and gender disparities in the OHNS match using an intersectional approach.
Low-loss epitaxial NbN/MgO/NbN trilayers for THz applications

To improve the performance of Josephson oscillators and SIS mixers over 700 GHz, we have developed a fabrication process to grow epitaxial NbN/MgO/NbN trilayers by reactive dc-sputtering. Trilayers were fabricated on a single-crystal MgO substrate at ambient temperature. NbN and MgO films were deposited by reactive dc-sputtering with an Nb and Mg target, respectively. The MgO inter-layer thickness was changed up to 480 nm, but, T/sub C/ and 20-K resistivity of the NbN upper-layer showed no remarkable dependency and they were 15.7 K and about 60 /spl mu//spl Omega/cm, respectively. To evaluate the RF performance of the epitaxial NbN films, we fabricated Josephson junctions with a microstrip resonator constructed from an epitaxial NbN/MgO/NbN trilayer. The I-V characteristics of the junction exhibited resonance steps up to 2.5 mV, which suggests that the epitaxial NbN films have low loss up to 1.2 THz.
Adverse renal effects associated with cardiopulmonary bypass

Cardiac surgery on cardiopulmonary bypass (CPB) is associated with postoperative renal dysfunction, one of the most common complications of this surgical cohort. Acute kidney injury (AKI) is associated with increased short-term morbidity and mortality and has been the focus of much research. There is increasing recognition of the role of AKI as the key pathophysiological state leading to the disease entities acute and chronic kidney disease (AKD and CKD). In this narrative review, we will consider the epidemiology of renal dysfunction after cardiac surgery on CPB and the clinical manifestations across the spectrum of disease. We will discuss the transition between different states of injury and dysfunction, and, importantly, the relevance to clinicians. The specific facets of kidney injury on extracorporeal circulation will be described and the current evidence evaluated for the use of perfusion-based techniques to reduce the incidence and mitigate the complications of renal dysfunction after cardiac surgery.
Cost-Utility and Cost-Effectiveness Analysis of Spinal Cord Stimulation for Chronic Refractory Pain in the Context of Developing Country.

BACKGROUND Spinal cord stimulation (SCS) is an effective treatment for chronic refractory pain. The evidence of pain reduction, improvement of function, quality of life, and cost-effectiveness are strong in developed countries. Nevertheless, there is still a lack of economic studies of SCS in the context of low- and middle-income countries. OBJECTIVES To evaluate the cost-effectiveness and cost-utility of additional SCS to conventional management (CMM) in patients with chronic refractory pain in Thailand. STUDY DESIGN Prospective observational study. SETTING The pain clinic at Siriraj Hospital, a tertiary care center in Thailand. METHODS This study recruited patients undergoing SCS implants due to refractory pain to CMM from varieties of conditions and followed up to 36 months. The clinical outcomes, quality of life, and costs of treatment were collected before and after SCS implantation. A decision tree and Markov model were developed to estimate the total lifetime costs and health benefits of SCS using a societal perspective. The results were presented as an incremental cost-utility ratio (ICUR) in 2021 Thai Baht (THB) per quality-adjusted life year (QALY) gained and an incremental cost-effective ratio (ICER) in 2021 THB per numeric rating pain score (NRS) reduction. RESULTS Twenty-nine patients who underwent SCS implantation reported pain intensity and increased utility at every point in time. Compared to pre-implantation, the QALY gained in both rechargeable and non-rechargeable SCS was 2.13 QALYs. The economic analysis showed the ICUR in the rechargeable and non-rechargeable SCS + CMM group was 660,106.96, and 620,120.59 THB/QALY gained, respectively, which was higher than Thais' willingness-to-pay (WTP) threshold at 160,000 THB/QALY gained. Pain score reduction was 2.49/10 at the 3-year point, and the ICER was 496,932.08 and 337,341.77 THB/NRS reduction for rechargeable and non-rechargeable SCS, respectively. LIMITATIONS As this is a single-center prospective cohort study, the results might be subject to selection bias and may not truly represent all patients from a developing country. The cost-effectiveness results should also be carefully interpreted for generalizability. CONCLUSION Spinal cord stimulation is effective in pain control and improves the quality of life for patients with chronic refractory pain. However, the ICUR of SCS is above the WTP, leading to the interpretation that SCS is still not a cost-effective treatment in the current context in Thailand.
PERCOLATION AND FRACTAL COMPOSITES: OPTICAL STUDIES

Local field distributions are studied in random metal–dielectric films near percolation (percolation films) and fractal aggregates of colloidal particles. For both systems, it is shown that optical excitations are localized in small nanometer-scale areas, "hot spots," where the local fields are much larger than the field of an incident electromagnetic wave. The large local fields result in giant enhancement of various optical phenomena. The surface-enhanced white-light generation and second-harmonic generation have been obtained in percolation films. For fractal aggregates of silver particles, a giant effect of local optical activity has been observed. The effect is due to surface-plasmon excitations localized on chiral-active particle configurations in fractals.
Laplacian eigenmaps manifold learning and anomaly detection methods for spectral images

Laplacian Eigenmaps Manifold Learning and Anomaly Detection Methods for Spectral Images Marcela Munoz Reales Supervising Professor: Dr. William Basener Spectral images provide a large amount of spectral information about a scene, but sometimes when studying images, we are interested in specific components. It is a difficult problem to separate the relevant information or what we call interesting from the background of a spectral image, even more so if our target objects are unknown. Anomaly detection is a process by which algorithms are designed to separate the anomalous (different) points from the background of an image. The data is complex and lives in a high dimension, manifold learning algorithms are used to analyze data that lives in a high dimensional space, but that can be represented as a lower dimensional manifold embedded in the high dimensional space. Laplacian Eigenmaps is a manifold learning algorithm that applies spectral graph theory methods to perform a non-linear dimensionality reduction that preserves local neighborhood information. We present an