bluuebunny/crossref_metadata_2025 huggingface dataset:
Two-photon fluorescence lifetime for label-free microfluidic droplet sorting
Authors: Hasan Sadat , Blaha Maximilian E. , Piendl Sebastian K. , Das Anish , Geissler David , Belder Detlev
Published: November 2021

Microfluidic droplet sorting systems facilitate automated selective micromanipulation of compartmentalized micro- and nano-entities in a fluidic stream. Current state-of-the-art droplet sorting systems mainly rely on fluorescence detection in the visible range with the drawback that pre-labeling steps are required. This limits the application range significantly, and there is a high demand for alternative, label-free methods. Therefore, we introduce time-resolved two-photon excitation (TPE) fluorescence detection with excitation at 532 nm as a detection technique in droplet microfluidics. This enables label-free in-droplet detection of small aromatic compounds that only absorb in a deep-UV spectral region. Applying time-correlated single-photon counting, compounds with similar emission spectra can be distinguished due to their fluorescence lifetimes. This information is then used to trigger downstream dielectrophoretic droplet sorting. In this proof-of-concept study, we developed a polydimethylsiloxane-fused silica (FS) hybrid chip that simultaneously provides a very high optical transparency in the deep-UV range and suitable surface properties for droplet microfluidics. The herein developed system incorporating a 532-nm picosecond laser, time-correlated single-photon counting (TCSPC), and a chip-integrated dielectrophoretic pulsed actuator was exemplarily applied to sort droplets containing serotonin or propranolol. Furthermore, yeast cells were screened using the presented platform to show its applicability to study cells based on their protein autofluorescence via TPE fluorescence lifetime at 532 nm.

Graphical abstract
What brain abnormalities can magnetic resonance imaging detect in foetal and early neonatal spina bifida: a systematic review
Authors: Mufti Nada , Sacco Adalina , Aertsen Michael , Ushakov Fred , Ourselin Sebastian , Thomson Dominic , Deprest Jan , Melbourne Andrew , David Anna L.
Published: November 2021

Purpose

Open spina bifida (OSB) encompasses a wide spectrum of intracranial abnormalities. With foetal surgery as a new treatment option, robust intracranial imaging is important for comprehensive preoperative evaluation and prognostication. We aimed to determine the incidence of infratentorial and supratentorial findings detected by magnetic resonance imaging (MRI) alone and MRI compared to ultrasound.

Methods

Two systematic reviews comparing MRI to ultrasound and MRI alone were conducted on MEDLINE, EMBASE, and Cochrane databases identifying studies of foetal OSB from 2000 to 2020. Intracranial imaging findings were analysed at ≤ 26 or > 26 weeks gestation and neonates (≤ 28 days). Data was independently extracted by two reviewers and meta-analysis was performed where possible.

Results

Thirty-six studies reported brain abnormalities detected by MRI alone in patients who previously had an ultrasound. Callosal dysgenesis was identified in 4/29 cases (2 foetuses ≤ 26 weeks, 1 foetus under any gestation, and 1 neonate ≤ 28 days) (15.1%, CI:5.7–34.3%). Heterotopia was identified in 7/40 foetuses ≤ 26 weeks (19.8%, CI:7.7–42.2%), 9/36 foetuses > 26 weeks (25.3%, CI:13.7–41.9%), and 64/250 neonates ≤ 28 days (26.9%, CI:15.3–42.8%). Additional abnormalities included aberrant cortical folding and other Chiari II malformation findings such as lower cervicomedullary kink level, tectal beaking, and hypoplastic tentorium. Eight studies compared MRI directly to ultrasound, but due to reporting inconsistencies, it was not possible to meta-analyse.

Conclusion

MRI is able to detect anomalies hitherto underestimated in foetal OSB which may be important for case selection. In view of increasing prenatal OSB surgery, further studies are required to assess developmental consequences of these findings.
Long-term data of the new transcutaneous partially implantable bone conduction hearing system Osia®
Authors: Rauch Ann-Kathrin , Wesarg Thomas , Aschendorff Antje , Speck Iva , Arndt Susan
Published: November 2021

Purpose

The new active transcutaneous partially implantable osseointegrated system Cochlear™ Osia® System is indicated in case of conductive or mixed hearing loss (CHL/MHL) with a maximum average bone conduction hearing loss of 55 dB, or in single-sided deafness (SSD). The implant directly stimulates the bone via a piezoelectric transducer and is directed by an external sound processor. We conducted a monocentric retrospective longitudinal within-subject clinical study at our tertiary academic referral center. The aim was to investigate long-term data (2017–2021) on audiological outcomes and hearing-related quality of life for the Osia system.

Methods

Between 2017 and 2020, 22 adults (18: CHL/MHL; 3: SSD) were implanted with the Osia100 implant; seven received bilateral implants. As of 10/2020, the sound processor was upgraded to Osia 2.

Results

Mean Osia system use by 04/2021 was 30.9 ± 8.6 months (range 17–40 months). Unaided bone conduction thresholds were unchanged postoperatively. One patient had to be explanted because of prolonged wound infection. Aided hearing thresholds were significantly lower compared to the unaided thresholds preoperatively, along with a marked increase in speech recognition in quiet. Speech processor upgrade resulted in a stable benefit. Patients with CHL/MHL and SSD showed a similar improvement in self-rated hearing performance revealed by SSQ, APHAB, and HUI questionnaires.

Conclusion

The Osia system is a safe, effective and sustainable option for treatment of conductive and mixed hearing loss or single-sided deafness.
Genomic predictors of testosterone levels are associated with muscle fiber size and strength
Authors: Guilherme João Paulo L. F. , Semenova Ekaterina A. , Borisov Oleg V. , Larin Andrey K. , Moreland Ethan , Generozov Edward V. , Ahmetov Ildus I.
Published: November 2021

Purpose

Circulating testosterone levels are a heritable trait with anabolic properties in various tissues, including skeletal muscle. So far, hundreds of single nucleotide polymorphisms (SNPs) associated with testosterone levels have been identified in nonathletic populations. The aim of the present study was to test the association of 822 testosterone-increasing SNPs with muscle-related traits (muscle fiber size, fat-free mass and handgrip strength) and to validate the identified SNPs in independent cohorts of strength and power athletes.

Methods

One hundred and forty-eight physically active individuals (47 females, 101 males) were assessed for cross-sectional area (CSA) of fast-twitch muscle fibers. Significant SNPs were further assessed for fat-free mass and handgrip strength in > 354,000 participants from the UK Biobank cohort. The validation cohorts included Russian elite athletes.

Results

From an initial panel of 822 SNPs, we identified five testosterone-increasing alleles (DOCK3 rs77031559 G, ESR1 rs190930099 G, GLIS3 rs34706136 TG, GRAMD1B rs850294 T, TRAIP rs62260729 C) nominally associated (P < 0.05) with CSA of fast-twitch muscle fibers, fat-free mass and handgrip strength. Based on these five SNPs, the number of testosterone-increasing alleles was positively associated with testosterone levels in male athletes (P = 0.048) and greater strength performance in weightlifters (P = 0.017). Moreover, the proportion of participants with ≥ 2 testosterone-increasing alleles was higher in power athletes compared to controls (68.9 vs. 55.6%; P = 0.012).

Conclusion

Testosterone-related SNPs are associated with muscle fiber size, fat-free mass and strength, which combined can partially contribute to a greater predisposition to strength/power sports.
Learning Diagonal Gaussian Mixture Models and Incomplete Tensor Decompositions
Authors: Guo Bingni , Nie Jiawang , Yang Zi
Published: November 2021

This paper studies how to learn parameters in diagonal Gaussian mixture models. The problem can be formulated as computing incomplete symmetric tensor decompositions. We use generating polynomials to compute incomplete symmetric tensor decompositions and approximations. Then the tensor approximation method is used to learn diagonal Gaussian mixture models. We also do the stability analysis. When the first and third order moments are sufficiently accurate, we show that the obtained parameters for the Gaussian mixture models are also highly accurate. Numerical experiments are also provided.
Breed group differences in the unsolvable problem task: herding dogs prefer their owner, while solitary hunting dogs seek stranger proximity
Authors: Van Poucke Enya , Höglin Amanda , Jensen Per , Roth Lina S. V.
Published: November 2021

The communicating skills of dogs are well documented and especially their contact-seeking behaviours towards humans. The aim of this study was to use the unsolvable problem paradigm to investigate differences between breed groups in their contact-seeking behaviours towards their owner and a stranger. Twenty-four dogs of ancient breeds, 58 herding dogs, and 17 solitary hunting dogs were included in the study, and their behaviour when presented with an unsolvable problem task (UPT) was recorded for 3 min. All breed groups interacted with the test apparatus the same amount of time, but the herding dogs showed a longer gaze duration towards their owner compared to the other groups and they also preferred to interact with their owner instead of a stranger. Interestingly, the solitary hunting dogs were more in stranger proximity than the other groups, and they also showed a preference to make contact with a stranger instead of their owner. Hence, we found differences in contact-seeking behaviours, reflecting the dog–human relationship, between breed groups that might not only be related to their genetic similarity to wolves, but also due to the specific breeding history of the dogs.
Identification of a de novo splicing mutation in the CSF1R gene in a Chinese patient with hereditary diffuse leukoencephalopathy with spheroids
Authors: Wu Xinwei , Sun Congcong , Wang Xingbang , Liu Ying , Wu Wei , Jia Guoyong
Published: November 2021

Objective

To report a de novo splicing mutation in the CSF1R gene in a patient with hereditary diffuse leukoencephalopathy with spheroids (HDLS).

Methods

A 42-year-old Chinese woman with constant weakness on her left lower extremity was recruited in the current study. Detail medical history and clinical characteristics were reviewed. Brain magnetic resonance imaging (MRI), whole-exome sequencing, and Sanger sequencing were performed with bioinformatics analysis.

Results

The Chinese HDLS patient with no HDLS family history exhibited a de novo splicing mutation (c.1754-10 T > A) in the CSF1R gene. This mutation was located at the splice site of intron 12 and resulted in the skipping of exon 13 from the CSF1R mRNA. This finding constitutes the first de novo splicing mutation ever reported in HDLS. Furthermore, MRI abnormalities had been reported at least 6 months prior to the onset of the patient’s clinical phenotype.

Conclusion

Our study indicates that the diagnosis of HDLS should be considered even in the absence of a family history and can help deepen the clinical and genetic understanding of HDLS.
Evaluating a Values-Based Intervention for Adolescence with High Nonclinical Paranoia: A Schools-Based Randomised Control Trial
Authors: Parker A. , Kingston J.
Published: November 2021

Background

Paranoia in adolescents is common, but research on attenuating it is scarce. Focusing on values and enhancing value-based acts is a low intensity method for attenuating paranoia in adults. This randomised trial compared a brief (30-min, self-directed) values-plus-goals intervention to an active control for adolescents with high nonclinical paranoia (Paranoia Scale ≥ 53), delivered in schools. The study also investigated the role of self-esteem.

Methods

Ninety adolescents were randomly assigned to condition. Paranoia (primary outcome) and self-esteem (potential mediator) were assessed at baseline (T1), and two- (T2) and six-weeks (T3) after baseline.

Results

Results were analysed using intention to treat (ITT) and per protocol (PP) analysis. Using ITT analysis, the Condition*Time interaction was significant (F(2, 168) = 3.98, p = .02), paranoia was significantly lower at T3 following values-plus-goals as compared to control (d = 0.64). Differences were not significant using per protocol analysis (F(2, 106) = 1.61, p = .21). The between group effect size at T3 was (d = 0.61). The Condition*Time interaction for self-esteem was not significant (F(2, 112) = 2.86, p = .06).

Conclusions

Tentatively, findings suggest that a brief values-plus-goals intervention can reduce paranoia in adolescents relative to an active control.
Design Methodology for Grout Curtains Under Dams Founded on Rock
Authors: Zhang Suihan , Johansson Fredrik , Stille Håkan
Published: November 2021

Grout curtains are commonly constructed under dams to reduce the seepage through the rock foundation. In the design of grout curtains, empirical methods have mainly been used since the introduction of dam foundation grouting. Although empirical methods have been used with success in several projects, they have their limitations, such as poor control of the grout spread, only an indirect consideration of the threat of internal erosion of fracture infillings in the grouted zones, and the risk of hydraulic jacking. This paper presents a theory-based design methodology for grout curtains under dams founded on rock. In the design methodology, the grout curtain is designed as a structural component of the dam. The risk of erosion of fracture infilling material is explicitly accounted for along with the reduction of the hydraulic conductivity of the rock mass, and an optimization of the total uplift force. By applying the proposed design methodology, engineers can create a design better adapted to the prevailing geological and hydrogeological conditions in the rock mass, resulting in more durable grout curtains. The proposed methodology also enables cost and time estimates to be calculated for the grout curtain’s construction. Applying the principles of the observational method during the grouting execution also allows the design to be modified via predefined measures if the initial design is found to be unsuitable.
Ultrasonic Echo Localization Using Seismic Migration Techniques in Engineered Barriers for Nuclear Waste Storage
Authors: Büttner Christoph , Niederleithinger Ernst , Buske Stefan , Friedrich Christian
Published: November 2021

In the framework of non-destructive-testing advanced seismic imaging techniques have been applied to ultrasonic echo data in order to examine the integrity of an engineered test-barrier designed to be used for sealing an underground nuclear waste disposal site. Synthetic data as well as real multi-receiver ultrasonic data acquired at the test site were processed and imaged using Kirchhoff prestack depth migration reverse time migration (RTM). In general, both methods provide a good image quality as demonstrated by various case studies, however deeper parts within the test barrier containing inclined reflectors were reconstructed more accurately by RTM. In particular, the image quality of a specific target reflector at a depth of 8 m in the test-barrier has been significantly improved compared to previous investigations using synthetic aperture focusing technique, which justifies the considerable computing time of this method.
A review on instance ranking problems in statistical learning
Authors: Werner Tino
Published: November 2021

Ranking problems, also known as preference learning problems, define a widely spread class of statistical learning problems with many applications, including fraud detection, document ranking, medicine, chemistry, credit risk screening, image ranking or media memorability. While there already exist reviews concentrating on specific types of ranking problems like label and object ranking problems, there does not yet seem to exist an overview concentrating on instance ranking problems that both includes developments in distinguishing between different types of instance ranking problems as well as careful discussions about their differences and the applicability of the existing ranking algorithms to them. In instance ranking, one explicitly takes the responses into account with the goal to infer a scoring function which directly maps feature vectors to real-valued ranking scores, in contrast to object ranking problems where the ranks are given as preference information with the goal to learn a permutation. In this article, we systematically review different types of instance ranking problems and the corresponding loss functions resp. goodness criteria. We discuss the difficulties when trying to optimize those criteria. As for a detailed and comprehensive overview of existing machine learning techniques to solve such ranking problems, we systematize existing techniques and recapitulate the corresponding optimization problems in a unified notation. We also discuss to which of the instance ranking problems the respective algorithms are tailored and identify their strengths and limitations. Computational aspects and open research problems are also considered.
Non-communicated judgements of, versus feedback on, students’ essays: Is feedback inflation larger for students with a migration background?
Authors: Nishen Anna K. , Kessels Ursula
Published: November 2021

When providing feedback, teachers are concerned not only with the simple transmission of information, but also with motivational and interpersonal dynamics. To mitigate these concerns, teachers may inflate feedback by reducing negative or increasing positive content. The resulting difference between initial judgments and feedback may be even more drastic for ethnic minority students: In non-communicated judgments, negative stereotypes may result in more negative judgments, whereas in feedback, concerns about being or appearing prejudiced may inflate feedback towards ethnic minority students. These hypotheses were tested in a sample of 132 German teacher students in a 2 (between subjects: feedback vs. non-communicated judgment) × 2 (within subjects: target student's migration background: Turkish vs. none) design in which participants read supposed student essays and provided their written impressions to the research team or the supposed student. Findings revealed that teacher students’ feedback was more positive than their non-communicated judgments on a multitude of dimensions. Contrary to expectations, these effects were not stronger when the student had a Turkish migration background. Instead, teacher students rated the essay of the student with a Turkish migration background more favorably both in the judgment and feedback conditions. Our results suggest that teachers adapt their initial judgments when giving feedback to account for interpersonal or motivational dynamics. Moreover, ethnic minority students may be especially likely to receive overly positive feedback. While the motivational/interpersonal dynamics may warrant some inflation in feedback, negative consequences of overly positive feedback, for which ethnic minority students may be especially vulnerable, are discussed.
Essential and Non-essential Trace Elements in Milks and Plant-Based Drinks
Authors: Marquès Montse , Correig Eudald , Capdevila Esther , Gargallo Eva , González Neus , Nadal Martí , Domingo José L.
Published: November 2021

Although milk and plant-based drinks are widely consumed foodstuffs with high nutritional value, their consumption may also mean intake of non-essential/toxic elements becoming a risk for human health. This study was aimed at determining the concentrations of essential (Ca, Co, K, Mg, Mn, Na, Ni and P) and non-essential/toxic (Hg, Pb, U and V) elements in milks (cow and goat), plant-based drinks (soy, almond, rice and oat) and infant formulas from organic and conventional production systems. Lactose-free, fresh and ultra-high-temperature (UHT) milks were also included. Chemical analyses were performed by means of inductively coupled plasma-mass spectrometry (ICP-MS). The content of the elements hereby assessed did not depend on the production system and the presence of lactose. However, significant differences were found in the concentrations of multiple elements when comparing sterilization methods, source (animal vs. plant-based) and animal species. Non-essential elements were not detected in milks and plant-based drinks, excepting Pb, which was detected in three samples. While the consumption of goat milk is recommended, considering the global intake of essential elements and the absence of non-essential elements, further studies should be conducted to confirm the absence of non-target toxic elements at very low trace levels. On the other hand, the best plant-based drinks are those made up with almonds (intake of Ca) and soy (K and Mg). The current results should be useful to help the population to balance the benefits and risks from milks and plant-based drinks consumption, as well as to adapt their dietary habits.
RETRACTED ARTICLE: IFIT1 modulates the proliferation, migration and invasion of pancreatic cancer cells via Wnt/β-catenin signaling
Authors: Li Tian-Hao , Zhao Bang-Bo , Qin Cheng , Wang Yuan-Yang , Li Ze-Ru , Cao Hong-Tao , Yang Xiao-Ying , Zhou Xing-Tong , Wang Wei-Bin
Published: November 2021

Objectives

Previously, Interferon-induced Protein with Tetratricopeptide Repeats 1 (IFIT1) has been shown to promote cancer development. Here, we aimed to explore the role of IFIT1 in the development and progression of pancreatic cancer, including the underlying mechanisms.

Methods

We explored IFIT1 expression in pancreatic cancer samples using The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets. Cell Counting Kit-8 (CCK8), colony formation, scratch wound-healing and Transwell assays were performed to assess the proliferation, migration and invasion abilities of pancreatic cancer cells. Gene Set Enrichment Analysis (GSEA) and Western blotting were performed to assess the regulatory effect of IFIT1 on the Wnt/β-catenin pathway.

Results

We found that upregulation of IFIT1 expression is common in pancreatic cancer and is negatively associated with overall patient survival. Knockdown of IFIT1 expression led to decreased proliferation, migration and invasion of pancreatic cancer cells. We also found that IFIT1 could regulate Wnt/β-catenin signaling, and that a Wnt/β-catenin agonist could reverse this effect. In addition, we found that IFIT1 can promote epithelial-mesenchymal transition (EMT) of pancreatic cancer cells.

Conclusions

Our data indicate that IFIT1 increases pancreatic cancer cell proliferation, migration and invasion by activating the Wnt/β-catenin pathway. In addition, we found that EMT could be regulated by IFIT1. IFIT1 may serve as a potential therapeutic target for pancreatic cancer.
Keep Me in the Loop: Real-Time Feedback with Multimodal Data
Authors: Di Mitri Daniele , Schneider Jan , Drachsler Hendrik
Published: November 2021

This paper describes the CPR Tutor, a real-time multimodal feedback system for cardiopulmonary resuscitation (CPR) training. The CPR Tutor detects training mistakes using recurrent neural networks. The CPR Tutor automatically recognises and assesses the quality of the chest compressions according to five CPR performance indicators. It detects training mistakes in real-time by analysing a multimodal data stream consisting of kinematic and electromyographic data. Based on this assessment, the CPR Tutor provides audio feedback to correct the most critical mistakes and improve the CPR performance. The mistake detection models of the CPR Tutor were trained using a dataset from 10 experts. Hence, we tested the validity of the CPR Tutor and the impact of its feedback functionality in a user study involving additional 10 participants. The CPR Tutor pushes forward the current state of the art of real-time multimodal tutors by providing: (1) an architecture design, (2) a methodological approach for delivering real-time feedback using multimodal data and (3) a field study on real-time feedback for CPR training. This paper details the results of a field study by quantitatively measuring the impact of the CPR Tutor feedback on the performance indicators and qualitatively analysing the participants’ questionnaire answers.
Assignment flows for data labeling on graphs: convergence and stability
Authors: Zern Artjom , Zeilmann Alexander , Schnörr Christoph
Published: November 2021

The assignment flow recently introduced in the J. Math. Imaging and Vision 58/2 (2017) constitutes a high-dimensional dynamical system that evolves on a statistical product manifold and performs contextual labeling (classification) of data given in a metric space. Vertices of an underlying corresponding graph index the data points and define a system of neighborhoods. These neighborhoods together with nonnegative weight parameters define the regularization of the evolution of label assignments to data points, through geometric averaging induced by the affine e-connection of information geometry. From the point of view of evolutionary game dynamics, the assignment flow may be characterized as a large system of replicator equations that are coupled by geometric averaging. This paper establishes conditions on the weight parameters that guarantee convergence of the continuous-time assignment flow to integral assignments (labelings), up to a negligible subset of situations that will not be encountered when working with real data in practice. Furthermore, we classify attractors of the flow and quantify corresponding basins of attraction. This provides convergence guarantees for the assignment flow which are extended to the discrete-time assignment flow that results from applying a Runge–Kutta–Munthe–Kaas scheme for the numerical geometric integration of the assignment flow. Several counter-examples illustrate that violating the conditions may entail unfavorable behavior of the assignment flow regarding contextual data classification.
Geography matters to disability: regional disparity of bathing difficulty among older adults in China
Authors: Hoh Jasmon W. T. , Feng Qiushi
Published: November 2021

Bathing is a major type of disability among older adults. While studies on bathing difficulties have recently started to go beyond the limitations of the human body to examine bathroom amenities; researchers have rarely considered the environment beyond the bathroom. This study explored the regional disparities in bathing disability among older adults in China. Using data from the Chinese Longitudinal Healthy Longevity Survey from 1998 to 2018, random-effects logistic regressions were performed to examine how bathing difficulties differed across regions among older adults in China. We found that older adults residing in the northern regions were significantly more likely to experience bathing disability compared to those from the South after controlling for confounding variables. Women and the oldest-old were also the most likely to experience bathing disabilities. Within the Northern regions itself, individuals from the Northeast stood out for having the highest likelihood of experiencing bathing disability. Interestingly, this regional disparity only existed for bathing disability and not the other Activities of Daily Living (ADL) items. It is concluded that the large regional disparity could be due to both climate differences and uneven economic development across the different regions in China. As bathing is a highly environment-dependent activity, this study highlights the potential for policy interventions to reduce the prevalence of bathing disability among older adults through improving the bathing environment. Additionally, we aim to put forth the notion that disability research should move towards analyses of specific disability items rather than an undifferentiated ADL index.
A Multilayer Feedforward Perceptron Model in Neural Networks for Predicting Stock Market Short-term Trends
Authors: Namdari Alireza , Durrani Tariq S.
Published: November 2021

Stock market prediction is important for investors seeking a return on the capital invested, though this prediction is a challenging task, due to the complexity of stock price time-series. This task can be performed by conducting two primary analyses: fundamental and technical. In this paper, we examine the predictability of these two analyses using a multilayer feedforward perceptron neural network (MLP) and determine whether MLP is capable of accurately predicting stock market short-term trends. We utilize stock prices (2013 Mar – 2018 Jun) and twelve financial ratios of technology companies selected through a feature selection preprocess. Our model uses self-organizing maps (SOMs) for clustering the historical prices and produces a low-dimensional discretized representation of the input space. The best results are obtained through hyper-parameter optimizations using a three-hidden layer MLP. The models are integrated using a nonlinear autoregressive structure with exogenous input (NARX). We find that the hybrid model successfully predicts the short-term stock trends. The hybrid model yields the greatest directional accuracy (70.36%) as compared to fundamental and technical analyses (64.38% and 62.85%) and state-of-the-art models. The results indicate that the market is not fully efficient. Our model will be useful to practitioners seeking investing and trading opportunities and others interested in the study of financial markets.
Law and Policy for the Quantum Age
Authors: Hoofnagle Chris Jay , Garfinkel Simson L.
Published: November 2021

It is often said that quantum technologies are poised to change the world as we know it, but cutting through the hype, what will quantum technologies actually mean for countries and their citizens? In Law and Policy for the Quantum Age, Chris Jay Hoofnagle and Simson L. Garfinkel explain the genesis of quantum information science (QIS) and the resulting quantum technologies that are most exciting: quantum sensing, computing, and communication. This groundbreaking, timely text explains how quantum technologies work, how countries will likely employ QIS for future national defense and what the legal landscapes will be for these nations, and how companies might (or might not) profit from the technology. Hoofnagle and Garfinkel argue that the consequences of QIS are so profound that we must begin planning for them today. This title is available as Open Access on Cambridge Core.
The discrete Green's function paradigm for two-way coupled Euler–Lagrange simulation
Authors: Horwitz J.A.K. , Iaccarino G. , Eaton J.K. , Mani A.
Published: November 2021

We outline a methodology for the simulation of two-way coupled particle-laden flows. The drag force that couples fluid and particle momentum depends on the undisturbed fluid velocity at the particle location, and this latter quantity requires modelling. We demonstrate that the undisturbed fluid velocity, in the low particle Reynolds number limit, can be related exactly to the discrete Green's function of the discrete Stokes equations. In addition to hydrodynamics, the method can be extended to other physics present in particle-laden flows such as heat transfer and electromagnetism. The discrete Green's functions for the Navier–Stokes equations are obtained at low particle Reynolds number in a two-plane channel geometry. We perform verification at different Reynolds numbers for a particle settling under gravity parallel to a plane wall, for different wall-normal separations. Compared with other point-particle schemes, the Stokesian discrete Green's function approach is the most robust at low particle Reynolds number, accurate at all wall-normal separations. To account for degradation in accuracy away from the wall at finite Reynolds number, we extend the present methodology to an Oseen-like discrete Green's function. The extended discrete Green's function method is found to be accurate within

$6\,\%$

at all wall-normal separations for particle Reynolds numbers up to 24. The discrete Green's function approach is well suited to dilute systems with significant mass loading and this is highlighted by comparison against other Euler–Lagrange as well as particle-resolved simulations of gas–solid turbulent channel flow. Strong particle–turbulence coupling is observed in the form of turbulence modification and turbophoresis suppression, and these observations are placed in context of the different methods.
Forget what you hear: Careless Talk, espionage and ways of listening in on the British secret state
Authors: Kearns Oliver
Published: November 2021

As the covert and clandestine practices of states multiplied in the twentieth century, so did these practices’ footprint in public life. This footprint is not just visual and material but sonic and aural, sounding the ‘secret state’ into being and suggesting ways of ‘listening in’ on it. Using multisensory methodology, this article examines Careless Talk Costs Lives, a UK Second World War propaganda campaign instructing citizens on how to practice discreet speech and listening in defence against ‘fifth columnist’ spies. This campaign reproduced the British secret state in the everyday: it represented sensitive operations as weaving in and out of citizens’ lives through imprudent chatter about ‘hush-hush’ activities and sounds you shouldn't overhear. The paradox at the campaign's heart – of revealing to people the kind of things they shouldn't say or listen to – made the secret state and its international operations a public phenomenon. Secret sounds therefore became entangled within productions of social difference, from class inequalities to German racialisation. Sound and listening, however, are unwieldy phenomena. This sonic life of the secret state risked undermining political legitimacy, while turning public space and idyllic environments into deceptive soundscapes – for international espionage, it seemed, sounded like ordinary life.
Neoliberal failures and the managerial takeover of governance
Authors: Dutta Sahil Jai , Knafo Samuel , Lovering Ian Alexander
Published: November 2021

The history of neoliberalism is a messy attempt to turn theory into practice. Neoliberals struggled with their plans to implement flagship policies of monetarism, fiscal prudence, and public sector privatisation. Yet, inflation was still cut, welfare slashed, and the public sector ‘marketised’. Existing literature often interprets this as neoliberalism ‘failing-forward’, achieving policy goals by whatever means necessary and at great social cost. Often overlooked in this narrative is how far actually existing neoliberalism strayed from the original designs of public choice theorists and neoliberal ideologues. By examining the history of the Thatcher government's public sector reforms, we demonstrate how neoliberal plans for marketisation ran aground, forcing neoliberal governments to turn to an approach of Managed Competition that owed more to practices of postwar planning born in Cold War US than neoliberal theory. Rather than impose a market-like transformation of the public sector, Managed Competition systematically empowered top managers and turned governance into a managerial process; two developments that ran directly against core precepts of neoliberalism. The history of these early failures and adjustments provides vital insights into the politics of managerial governance in the neoliberal era.
Parent-child interaction during storybook reading: wordless narrative books versus books with text
Authors: PETRIE Abigail , MAYR Robert , ZHAO Fei , MONTANARI Simona
Published: November 2021

This study examines the content and function of parent-child talk while engaging in shared storybook reading with two narrative books: a wordless book versus a book with text. Thirty-six parents audio-recorded themselves reading one of the books at home with their 3.5–5.5-year-old children. Pragmatic and linguistic measures of parental and child talk during both narrative storytelling and dialogic interactions were compared between the wordless and book-with-text conditions. The results show that the wordless book engendered more interaction than the book-with-text, with a higher rate of parental prompts and responsive feedback, and significantly more child contributions, although lexical diversity and grammatical complexity of parental language were higher during narration using a book-with-text. The findings contribute to research on shared storybook reading suggesting that different book formats can promote qualitatively different language learning environments.
Constructive sheaf models of type theory
Authors: Coquand Thierry , Ruch Fabian , Sattler Christian
Published: November 2021

We provide a constructive version of the notion of sheaf models of univalent type theory. We start by relativizing existing constructive models of univalent type theory to presheaves over a base category. Any Grothendieck topology of the base category then gives rise to a family of left-exact modalities, and we recover a model of type theory by localizing the presheaf model with respect to this family of left-exact modalities. We provide then some examples.
On biosignatures for Mars
Authors: Westall Frances , Hickman-Lewis Keyron , Cavalazzi Barbara , Foucher Frédéric , Clodoré Laura , Vago Jorge L.
Published: November 2021

In this work, we address the difficulty of reliably identifying traces of life on Mars. Several independent lines of evidence are required to build a compelling body of proof. In particular, we underline the importance of correctly interpreting the geological and mineralogical context of the sites to be explored for the presence of biosignatures. We use as examples to illustrate this, ALH84001 (where knowledge of the geological context was very limited) and other terrestrial deposits, for which this could be properly established. We also discuss promising locations and formations to be explored by ongoing and future rover missions, including Oxia Planum, which, dated at 4.0 Ga, is the most ancient Mars location targeted for investigation yet.
Two Scenarios for Sustainable Welfare: A Framework for an Eco-Social Contract
Authors: Gough Ian
Published: November 2021

More nation states are now committing to zero net carbon by 2050 at the latest, which is encouraging, but none have faced up to the transformation of economies, societies and lives that this will entail. This article considers two scenarios for a fair transition to net zero, concentrating only on climate change, and discusses the implications for contemporary ‘welfare states’. The first is the Green New Deal framework coupled with a ‘social guarantee’. I argue that expanded public provision of essential goods and services would be a necessary component of this strategy. The second scenario goes further to counteract runaway private consumption by building a sufficiency economy with ceilings to income, wealth and consumption. This would require a further extension of state capacities and welfare state interventions. The article provides a framework for comparing and developing these two very different approaches.
The International Committee of the Red Cross and the International Criminal Court: Turning international humanitarian law into a two-headed snake?
Authors: García Pinto Fernanda
Published: November 2021

The International Committee of the Red Cross and the International Criminal Court are two very different entities that simultaneously apply international humanitarian law but do so after their own perspectives. This article proposes a cautious yet critical approach to some of their divergent interpretations (conflict classification, the difference between direct and active participation in hostilities, intra-party sexual and gender-based violence, and the notion of attack) and examines how the broader legal system copes with these points of divergence. The analysis considers the institutional characteristics of these two organizations and the pluralistic nature of international humanitarian law as well as its dynamic rapport with international criminal law in order to highlight the versatility needed to face the challenges posed by contemporary armed conflicts.
Stopp dem Irrsinn
Authors: Wolfensberger Peter
Published: November 2021

Was ist zu diesem Thema bereits bekannt?

Klassifikationssysteme prägen zunehmend neben der medizinischen auch die pflegerische Fachsprache. Wirklich durchsetzen konnten sich einzelne Systeme in der Pflege jedoch kaum.

Wie wird eine neue Perspektive eingebracht?

Eine Rückbesinnung auf pflegerische Werte im Kontext längst etablierter medizinischer Fachsprache wird zur Diskussion gestellt und als zielführend erachtet.

Was sind die Auswirkungen für die Praxis?

Mit der Sprache der Betroffenen werden Entwicklungen wie Person-Zentrierung und Recovery-Orientierung für alle Beteiligten erlebbar.
A Research Agenda for Implementing Augmented Reality in Ab Initio	Pilot Training
Authors: Moesl Birgit , Schaffernak Harald , Vorraber Wolfgang , Braunstingl Reinhard , Herrele Thomas , Koglbauer Ioana V.
Published: November 2021

Abstract. Augmented reality applications have the potential to change the learning experience and outcomes for the next generation of pilots. This study aimed at identifying learning issues related to ab initio flight training and exploring the potential of augmented reality in tackling them. A survey was conducted with 43 pilots (31 men, 12 women) and seven flight instructors (six men, one woman). The results show the contents of the ab initio flight course that were most difficult to learn according to the pilots’ and instructors’ experience. In addition, the participants assessed the training conditions they experienced. After familiarization with typical use cases of augmented reality, the pilots and flight instructors indicated flight training elements that could benefit from augmented reality. The results are used to specify a research agenda for developing augmented reality applications for future ab initio pilot training.
Predicting flows through microfluidic circuits with fluid walls
Authors: Deroy Cyril , Stovall-Kurtz Nicholas , Nebuloni Federico , Soitu Cristian , Cook Peter R. , Walsh Edmond J.
Published: November 2021

The aqueous phase in traditional microfluidics is usually confined by solid walls; flows through such systems are often predicted accurately. As solid walls limit access, open systems are being developed in which the aqueous phase is partly bounded by fluid walls (interfaces with air or immiscible liquids). Such fluid walls morph during flow due to pressure gradients, so predicting flow fields remains challenging. We recently developed a version of open microfluidics suitable for live-cell biology in which the aqueous phase is confined by an interface with an immiscible and bioinert fluorocarbon (FC40). Here, we find that common medium additives (fetal bovine serum, serum replacement) induce elastic no-slip boundaries at this interface and develop a semi-analytical model to predict flow fields. We experimentally validate the model’s accuracy for single conduits and fractal vascular trees and demonstrate how flow fields and shear stresses can be controlled to suit individual applications in cell biology.
Genome-scale CRISPR-Cas9 knockout screening in hepatocellular carcinoma with lenvatinib resistance
Authors: Lu Yonggang , Shen Haoming , Huang Wenjie , He Sha , Chen Jianlin , Zhang Di , Shen Yongqi , Sun Yifan
Published: November 2021

Lenvatinib is the first target drug approved for advanced hepatocellular carcinoma (HCC). However, the development of drug resistance is common, and the mechanisms of lenvatinib resistance and resistant targets in HCC are poorly understood. By using CRISPR/Cas9 library screening, we screened out two key resistance genes, neurofibromin 1(NF1), and dual specificity phosphatase 9 (DUSP9), as critical drivers for lenvatinib resistance in HCC. With RNAi knockdown and CRISPR/Cas9 knockout models, we further clarified the mechanisms by which NF1 loss reactivates the PI3K/AKT and MAPK/ERK signaling pathways, while DUSP9 loss activates the MAPK/ERK signaling pathways, thereby inactivating FOXO3, followed by degradation of FOXO3, finally induced lenvatinib resistance. We also screened out trametinib, a small molecule pathway inhibitor for MEK, that can be used to reverse resistance induced by NF1 and DUSP9 loss in HCC cells. Trametinib was still able to halt HCC growth even when NF1 was knocked out in mice. Collectively, the findings indicate that NF1 and DUSP9 takes critical role in lenvatinib resistance and may be novel specific targets and predictive markers for lenvatinib resistance in HCC.
Benchmarking the performance of Bayesian optimization across multiple experimental materials science domains
Authors: Liang Qiaohao , Gongora Aldair E. , Ren Zekun , Tiihonen Armi , Liu Zhe , Sun Shijing , Deneault James R. , Bash Daniil , Mekki-Berrada Flore , Khan Saif A. , Hippalgaonkar Kedar , Maruyama Benji , Brown Keith A. , Fisher III John , Buonassisi Tonio
Published: November 2021

Bayesian optimization (BO) has been leveraged for guiding autonomous and high-throughput experiments in materials science. However, few have evaluated the efficiency of BO across a broad range of experimental materials domains. In this work, we quantify the performance of BO with a collection of surrogate model and acquisition function pairs across five diverse experimental materials systems. By defining acceleration and enhancement metrics for materials optimization objectives, we find that surrogate models such as Gaussian Process (GP) with anisotropic kernels and Random Forest (RF) have comparable performance in BO, and both outperform the commonly used GP with isotropic kernels. GP with anisotropic kernels has demonstrated the most robustness, yet RF is a close alternative and warrants more consideration because it is free from distribution assumptions, has smaller time complexity, and requires less effort in initial hyperparameter selection. We also raise awareness about the benefits of using GP with anisotropic kernels in future materials optimization campaigns.
Homozygous duplication identified by whole genome sequencing causes LRBA deficiency
Authors: Merico Daniele , Pasternak Yehonatan , Zarrei Mehdi , Higginbotham Edward J. , Thiruvahindrapuram Bhooma , Scott Ori , Willett-Pachul Jessica , Grunebaum Eyal , Upton Julia , Atkinson Adelle , Kim Vy H. D. , Aliyev Elbay , Fakhro Khalid , Scherer Stephen W. , Roifman Chaim M.
Published: November 2021

In more than one-third of primary immunodeficiency (PID) patients, extensive genetic analysis including whole-exome sequencing (WES) fails to identify the genetic defect. Whole-genome sequencing (WGS) is able to detect variants missed by other genomics platforms, enabling the molecular diagnosis of otherwise unresolved cases. Here, we report two siblings, offspring of consanguineous parents, who experienced similar severe events encompassing early onset of colitis, lymphoproliferation, and hypogammaglobulinemia, typical of lipopolysaccharide-responsive and beige-like anchor (LRBA) or cytotoxic T lymphocyte antigen 4 (CTLA4) deficiencies. Gene-panel sequencing, comparative genomic hybridization (CGH) array, and WES failed to reveal a genetic aberration in relevant genes. WGS of these patients detected a 12.3 kb homozygous tandem duplication that was absent in control cohorts and is predicted to disrupt the reading frame of the LRBA gene. The variant was validated by PCR and Sanger sequencing, demonstrating the presence of the junction between the reference and the tandem-duplicated sequence. Droplet digital PCR (ddPCR) further confirmed the copy number in the unaffected parents (CN = 3, heterozygous) and affected siblings (CN = 4, homozygous), confirming the expected segregation pattern. In cases of suspected inherited immunodeficiency, WGS may reveal a mutation when other methods such as microarray and WES analysis failed to detect an aberration.