Miracle-dz/UniFAR-FTUs huggingface dataset:
The cholesterol depleting agent, (2-Hydroxypropyl)-ß-cyclodextrin, does not affect disease progression in SOD1G93A mice

Abstract Objective Previously, we demonstrated that Amyloid Precursor Protein (APP) contributes to pathology in the SOD1G93A mouse model of ALS and that genetic ablation of APP in SOD1G93A mice significantly improved multiple disease parameters, including muscle innervation and motor neuron survival. We also observed elevated levels of potentially neurotoxic Aß peptides that have been implicated in Alzheimer’s Disease (AD) pathogenesis, within motor neurons and astrocytes in SOD1G93A mice. More recently, it has been shown that blocking Aß production improves outcome measures in SOD1G93A mice. The cyclodextrin, (2-Hydroxypropyl)-ß-cyclodextrin (HP-β-CD), has previously been shown to deplete intraneuronal unesterified cholesterol, resulting in effective reduction of Aß production and amelioration of disease progression in mouse models of AD and Niemann Pick Type C (NPC) disease. Here, we tested whether HP-β-CD could also improve phenotypic progression in SOD1G93A mice. Methods Pre-symptomatic male SOD1G93A mice were randomly assigned to the following treatment groups: HP-β-CD (4000mg/kg, n = 9) or vehicle (saline; n = 10), delivered by weekly subcutaneous injection, commencing at 67 days of age. Longitudinal grip-strength and body mass analysis was performed until late-stage disease (120 days of age), followed by in vivo bilateral isometric muscle tension analysis of tibialis anterior (TA) and extensor digitorum longus (EDL) muscles. Results: HP-β-CD administration had no effect on body mass or grip-strength compared to vehicle treated SOD1G93A mice. Similarly, HP-β-CD treatment had no effect on muscle force, contractile properties or motor unit number estimates (MUNE) at late-stage disease in SOD1G93A mice. Conclusion This study shows that HP-β-CD does not confer any therapeutic benefit in SOD1G93A mice. However, the absence of detrimental effects is informative, given the common use of cyclodextrins as complexing agents for other pharmaceutical products, their standalone therapeutic potential and the emerging association between dyslipidaemia and ALS progression.
Diagnostic value of BinaxNOW antigen card for Severe Acute Respiratory Syndrome Coronavirus 2

ABSTRACT Rapid laboratory detection is remarkably crucial to diagnosing coronavirus disease 2019 (COVID-19) infection, due to whose outbreak causes to the world pandemic. The BinaxNOW antigen card (BinaxNOW) is a simple, effective, and cheap tool to detect severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The meta-analysis in this study was conducted to evaluate the diagnostic performance of BinaxNOW for SARS-CoV-2. The researchers independently retrieved the related databases (PubMed, Embase, Web of Science, Cochrane Library) before May 1st, 2021, and extracted the relevant data based on the early inclusion/exclusion criterion. Quality Assessment of Diagnostic Accuracy Study-2 was used to evaluate the quality of the enrolled studies. Stata 16.0, Meta-DiSc 1.4, and Review Manager 5.3 were used to generate analytical data for the statistical analysis. 59 sets of data were identified from the seven studies included in this meta-analysis. The combined sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and their 95% confidence intervals were 0.77 (0.76 to 0.79), 0.99 (0.99 to 0.99), 65.72 (48.23 to 89.56), 0.23 (0.19 to 0.28), and 461.10 (281.55 to 755.13), respectively. The area under curve was 0.9910 in the summary receiver operating characteristic curve. BinaxNOW is beneficial for symptomatic patients’ onset within 7 days. CT value and testing site may be the heterogeneity source of BinaxNOW accuracy. Moreover, this technology has an efficient performance for diagnosing COVID-19, especially in patients with heavy viral load. BinaxNOW may become a practical tool for large-scale or at-home use for COVID-19 in the post-pandemic era.Highlights● Pooled sensitivity with 0.77 and specificity with 0.99 in the BinaxNOW assay. ● CT value and testing site may be the heterogeneity source of BinaxNOW accuracy. ● BinaxNOW is beneficial for symptomatic patients’ onset within 7 days. ● BinaxNOW may become a practical tool for large-scale or at-home use for COVID-19.
Computational Study Of The Near Field Spontaneous Creation Of Photonic States Coupled To Few Level Systems

Models of the spontaneous emission and absorption of photons coupled to the electronic states of quantum dots, molecules, N-V (single nitrogen vacancy) centers in diamond, that can be modeled as artificial few level atoms, are important to the development of quantum computers and quantum networks. A quantum source modeled after an effective few level system is strongly dependent on the type and coupling strength the allowed transitions. These selection rules are subject to the Wigner-Eckert theorem which specifies the possible transitions during the spontaneous creation of a photonic state and its subsequent emission. The model presented in this dissertation describes the spatio-temporal evolution of photonic states by means of a Dirac-like equation for the photonic wave function within the region of interaction of a quantum source. As part of this aim, we describe the possibility to shift from traditional electrodynamics and quantum electrodynamics, in terms of electric and magnetic fields, to one in terms of a photonic wave function and its operators. The mapping between these will also be presented herein. It is further shown that the results of this model can be experimentally verified. The suggested method of verification relies on the direct comparison of the calculated density matrix or Wigner function, associated with the quantum state of a photon, to ones that are experimentally reconstructed through optical homodyne tomography techniques. In this non-perturbative model we describe the spontaneous creation of photonic state in a non-Markovian limit which does not implement the Weisskopf-Wigner approximation. We further show that this limit is important for the description of how a single photonic mode is created from the possibly infinite set of photonic frequencies νk that can be excited in a dielectric-cavity from the vacuum state. We use discretized central-difference approximations to the space and time partial derivatives, similar to finite-difference time domain models, to compute these results. The results presented herein show that near field effects need considered when describing adjacent quantum sources that are separated by distances that are small with respect to the wavelength of
Validity and Reliability of the Korean Version of the Parkinson’s Disease Questionnaire–Carer

Background and Purpose The importance of the quality of life (QOL) of carers has been increasingly recognized as it has a wide range of effects on the psychological, emotional, and social outcomes of patients with Parkinson’s disease (PD). Understanding their QOL is important as it reflects their unique characteristics; however, there have been few studies on this in Korea. This study aimed to translate and validate the Korean version of the Parkinson’s Disease Questionnaire–Carer (PDQ-Carer). Methods This was a methodological study that included a translation process and a cross-sectional investigation. The Korean version of the scale was developed using back translation, semantic adjustment, and pretests. The final version was self-administered by 125 Korean family carers. Cronbach’s alpha values were used to assess the internal consistency of the PDQ-Carer. Exploratory and confirmatory factor analyses were used to validate the translated scale. Results Exploratory factor analysis identified four factors that accounted for 64.51% of the variance. A modified model using modification indices was found to fit the data well in the confirmatory factor analysis. That factor analysis supported the structure of the original four factors with relocation of several items that reflected Korean culture. Cronbach’s alpha values were 0.96 for the total scale, 0.93 for personal and social activities, 0.89 for strain, 0.85 for anxiety and depression, and 0.85 for self-care. Conclusions This study verified that the Korean version of the PDQ-Carer can be used to acquire important information about the multidimensional aspects of the QOL of Korean carers for patients with PD.
Extraordinary Enhancement of Quadrupolar Transitions Using Nanostructured Graphene

Surface plasmons supported by metallic nanostructures interact strongly with light and confine it into subwavelength volumes, thus forcing the corresponding electric field to vary within nanoscale distances. This results in exceedingly large field gradients that can be exploited to enhance the quadrupolar transitions of quantum emitters located in the vicinity of the nanostructure. Graphene nanostructures are ideally suited for this task, since their plasmons can confine light into substantially smaller volumes than equivalent excitations sustained by conventional plasmonic nanostructures. Furthermore, in addition to their geometric tunability, graphene plasmons can also be efficiently tuned by controlling the doping level of the nanostructure, which can be accomplished either chemically or electrostatically. Here, we provide a detailed investigation of the enhancement of the field gradient in the vicinity of different graphene nanostructures. Using rigorous solutions of Maxwell’s equations, as well as an.
Bounds on an effective thermalization beyond the Zeno limit

Developing protocols for preserving information in quantum systems is a central quest for implementing realistic quantum computation. In this regard, the quantum Zeno effect has emerged as a widely utilized technique to safeguard classical information stored in quantum systems. However, existing results pertaining to this method often assume operations performed infinitely fast on the system of interest, which only serves as an approximation to real-world scenarios where the temporal resolution of any experimental apparatus is inherently finite. In this study, we go beyond this conventional assumption and derive the effective Zeno dynamics for any time interval between operations. Our analysis considers a qubit undergoing thermalization, as described by a generalized amplitude damping channel, while the operations performed consist of projections onto an orthonormal basis that may or may not coincide with the pointer basis to which the system is thermalizing. By obtaining the probability of successfully storing a bit of information after a given time, we investigate the performance of the protocol in two important scenarios: the limit of many interventions, with a first-order correction to the Zeno limit, and the limit of very few interventions. In doing so, we provide valuable insights into the protocol's performance by establishing bounds on its efficacy. These findings enhance our understanding of the practical applicability of the quantum Zeno effect in preserving classical information stored in quantum systems, allowing for better design and optimization of quantum information processing protocols.
On the Applicability of Network Coordinate Systems for Fog Computing

Identifying the closest fog node is crucial for mobile clients to benefit from fog computing. Relying on geographical location alone us insufficient for this as it ignores real observed client access latency. In this paper, we analyze the performance of the Meridian and Vivaldi network coordinate systems in identifying nearest fog nodes. To that end, we simulate a dense fog environment with mobile clients. We find that while network coordinate systems really find fog nodes in close network proximity, a purely latency-oriented identification approach ignores the larger problem of balancing load across fog nodes.
Revision Transformers: Instructing Language Models to Change Their Values

Current transformer language models (LM) are large-scale models with billions of parameters. They have been shown to provide high performances on a variety of tasks but are also prone to shortcut learning and bias. Addressing such incorrect model behavior via parameter adjustments is very costly. This is particularly problematic for updating dynamic concepts, such as moral values, which vary culturally or interpersonally. In this work, we question the current common practice of storing all information in the model parameters and propose the Revision Transformer (RiT) to facilitate easy model updating. The specific combination of a large-scale pre-trained LM that inherently but also diffusely encodes world knowledge with a clear-structured revision engine makes it possible to update the model's knowledge with little effort and the help of user interaction. We exemplify RiT on a moral dataset and simulate user feedback demonstrating strong performance in model revision even with small data. This way, users can easily design a model regarding their preferences, paving the way for more transparent AI models.
Systematic Assessment of Fuzzers using Mutation Analysis

Fuzzing is an important method to discover vulnerabilities in programs. Despite considerable progress in this area in the past years, measuring and comparing the effectiveness of fuzzers is still an open research question. In software testing, the gold standard for evaluating test quality is mutation analysis, which evaluates a test's ability to detect synthetic bugs: If a set of tests fails to detect such mutations, it is expected to also fail to detect real bugs. Mutation analysis subsumes various coverage measures and provides a large and diverse set of faults that can be arbitrarily hard to trigger and detect, thus preventing the problems of saturation and overfitting. Unfortunately, the cost of traditional mutation analysis is exorbitant for fuzzing, as mutations need independent evaluation. In this paper, we apply modern mutation analysis techniques that pool multiple mutations and allow us -- for the first time -- to evaluate and compare fuzzers with mutation analysis. We introduce an evaluation bench for fuzzers and apply it to a number of popular fuzzers and subjects. In a comprehensive evaluation, we show how we can use it to assess fuzzer performance and measure the impact of improved techniques. The required CPU time remains manageable: 4.09 CPU years are needed to analyze a fuzzer on seven subjects and a total of 141,278 mutations. We find that today's fuzzers can detect only a small percentage of mutations, which should be seen as a challenge for future research -- notably in improving (1) detecting failures beyond generic crashes (2) triggering mutations (and thus faults).
EXPRESS: Network Revenue Management with Demand Learning and Fair Resource-Consumption Balancing

In addition to maximizing the total revenue, decision-makers in lots of industries would like to guarantee balanced consumption across different resources. For instance, in the retailing industry, ensuring a balanced consumption of resources from different suppliers enhances fairness and helps maintain a healthy channel relationship; in the cloud computing industry, resource-consumption balance helps increase customer satisfaction and reduce operational costs. Motivated by these practical needs, this paper studies the price-based network revenue management (NRM) problem with both demand learning and fair resource-consumption balancing. We introduce the regularized revenue, that is, the total revenue with a balancing regularization, as our objective to incorporate fair resource-consumption balancing into the revenue maximization goal. We propose a primal-dual-type online policy with the upper-confidence-bound demand learning method to maximize the regularized revenue. We adopt several innovative techniques to make our algorithm a unified and computationally efficient framework for the continuous price set and a wide class of balancing regularizers. Our algorithm achieves a worst-case regret of [Formula: see text], where [Formula: see text] denotes the number of products and [Formula: see text] denotes the number of time periods. Numerical experiments in a few NRM examples demonstrate the effectiveness of our algorithm in simultaneously achieving revenue maximization and fair resource-consumption balancing.
Free Space Optics for 5G Backhaul Networks and Beyond

Free Space Optics for 5G Backhaul Networks and Beyond Wael G. Alheadary The exponential increase of mobile users and the demand for high-speed data services has resulted in significant congestions in cellular backhaul capacity. As a solution to satisfy the traffic requirements of the existing 4G network, the 5G network has emerged as an enabling technology and a fundamental building block of next-generation communication networks. An essential requirement in 5G backhaul networks is their unparalleled capacity to handle heavy traffic between a large number of devices and the core network. Microwave and optic fiber technologies have been considered as feasible solutions for next-generation backhaul networks. However, such technologies are not cost effective to deploy, especially for the backhaul in high-density urban or rugged areas, such as those surrounded by mountains and solid rocks. Additionally, microwave technology faces alarmingly challenging issues, including limited data rates, scarcity of licensed spectrum, advanced interference management, and rough weather conditions (i.e., rain, which is the main weather condition that affects microwave signals the most). The focus of this work is to investigate the feasibility of using free-space-optical (FSO) technology in the 5G cellular backhaul network. FSO is a cost-effective and wide-bandwidth solution as compared to traditional backhaul solutions. However, FSO links are sensitive to atmospheric turbulence-induced fading, path loss, and pointing errors. Increasing the reliability of FSO systems while still exploiting their high data rate communications is a key requirement in the deployment of an FSO backhaul network. Overall, the theoretical models proposed in this work will be shown to enhance FSO link performance. 5 In the experimental direction, we begin by designing an integrated mobile FSO system. To the best of our knowledge, no work in the literature has addressed the atmospheric path loss characterization of mobile FSO channels in a coastal environment. Therefore, we investigate the impact of weather effects in Thuwal, Saudi Arabia, over FSO links using outdoor and indoor setups. For the indoor experiments, results are reported based on a glass climate chamber in which we could precisely control the temperature and humidity.
Solution of the inverse elastography problem for parametric classes of inclusions with a posteriori error estimate

Abstract This article presents the solution of a special inverse elastography problem: knowing vertical displacements of compressed biological tissue to find a piecewise constant distribution of Young’s modulus in an investigated specimen. Our goal is to detect homogeneous inclusions in the tissue, which can be interpreted as oncological. To this end, we consider the specimen as two-dimensional elastic solid, displacements of which satisfy the differential equations of the linear static theory of elasticity in the plain strain statement. The inclusions to be found are specified by parametric functions with unknown geometric parameters and unknown Young’s modulus. Reducing this inverse problem to the search for all unknown parameters, we solve it applying the modified method of extending compacts by V. K. Ivanov and I. N. Dombrovskaya. A posteriori error estimate is carried out for the obtained approximate solutions.
The impact of translation direction on characteristics of translated texts. A multivariate analysis for English and German

This paper investigates the influence of the source and target language on translations in a selection of 150 pairs of source and target texts from a bidirectional parallel corpus of English and German texts, applying a combination of multivariate analysis, visualization and minimally supervised machine learning. Based on a procedure developed by Diwersy, Evert and Neumann (2014), it investigates the way in which translations differ from comparable original texts depending on the translation direction and other factors. The multivariate approach enables us to detect patterns of feature combinations that cannot be observed in conventional frequency-based analyses, providing new evidence for the validity of interference or shining through in translation. We report a clear shining through effect that is more pronounced for translations from English into German than for the opposite translation direction, pointing towards a prestige effect in this language pair.
Boldness is not associated with dynamic performance capacity in hermit crabs

Boldness, the way an individual reacts to risk, is a commonly studied personality trait in animals. Consistent among-individual differences in startle response durations (latency to recover from a startling stimulus) are frequently assumed to reflect variation in boldness. An alternative explanation is that these latencies are not directly driven by variation in responses to information on risk, but by underlying differences in dynamic performance capacities. Here we investigate this possibility by analysing relationships between locomotory speed, a measure of whole-body dynamic performance capacity in hermit crabs, and startle response duration, a repeatable latency measure used as an index of boldness. Individuals differed in mean startle response duration, in the consistency of their startle responses, in their reaction norms across repeated observations, and mean startle responses increased with crab mass. However, there were no relationships between startle responses and locomotory speed. This indicates that startle responses do not reflect underlying performance capacities and suggests that they provide insight into differences in how individuals respond to risky situations. Since similar latencies are used as measures of boldness in other animals, we suggest that potential relationships between apparent boldness and performance capacity should be tested.