bluuebunny/crossref_metadata_2025 huggingface dataset:
O que ocorre com os regulamentos quando a lei é revogada por uma nova legislação? O caso da Lei nº 14.133/2021
Authors: Cabral Flávio Garcia
Published: April 2022

O artigo investiga qual a situação dos regulamentos administrativos vigentes quando surge uma nova lei que revoga a anterior legislação que os embasava. Com o advento da nova Lei de Licitações (Lei nº 14.133/2021), esse debate se mostra extremamente atual, uma vez que haverá futuramente a substituição das legislações passadas sobre licitações. Assim, busca-se discorrer sobre o que ocorre com os regulamentos antigos quando da edição de nova legislação. Trata-se de temática praticamente inexplorada pela doutrina brasileira. Para a realização do artigo, utiliza-se o método de abordagem indutivo, possuindo natureza descritiva e exploratória quanto aos fins e bibliográfica em relação aos meios. Ao final, conclui-se que, como regra, com o advento de uma nova legislação, os regulamentos anteriores ficam revogados. No entanto, se a nova lei que revogou a anterior possuir o mesmo conteúdo material da antecessora (independentemente da nomenclatura utilizada), os regulamentos antigos podem ser aplicados a ela até que surjam os novos regulamentos.
Checklist of the lichenized and lichenicolous fungi in Bulgaria
Authors:   Institute of Biodiversity and Ecosystem Research, Bulgarian Academy of Sciences, Denchev Cvetomir M. , Shivarov Veselin V. ,   Institute of Biodiversity and Ecosystem Research, Bulgarian Academy of Sciences, Denchev Teodor T. ,   Institute of Biodiversity and Ecosystem Research, Bulgarian Academy of Sciences, 2 Gagarin St., 1113 Sofia, Bulgaria, Mayrhofer Helmut ,   Institute of Biology, Division of Plant Sciences, NAWI Graz, University of Graz, Holteigasse 6, A-8010 Graz, Austria
Published: April 2022

A checklist of all taxa of lichenized and lichenicolous fungi recorded from Bulgaria is presented. The lichen biota as currently known includes 1137 taxa (1115 species, 5 subspecies, and 17 varieties) of lichenized fungi, 46 species of lichenicolous fungi, and 28 non-lichenized fungi traditionally included in lichenological literature. Lepra corallina is reported for the first time from Bulgaria. An index of synonyms based on literature records from Bulgaria is appended. It includes 1761 infrageneric names.
Sunk Costs and Concentration in Homogeneous Product Industries
Authors: Lieberman Marvin
Published: April 2022

Research by Pankaj Ghemawat and others in the 1980s focused on sunk cost commitments, which can support entry deterrence. Alternatively, sunk costs can create exit barriers, potentially increasing the number of firms in an industry. This study combines information on cost structure, production capacity, and sales for 31 chemical products to consider factors that determine the number of competitors in a homogeneous product industry. After controlling for market size and cost of entry, the number of producers increased with the ratio of sunk to variable costs. This is consistent with exit barriers, but not with entry deterrence. Excess entry was greater when plants were geographically dispersed, suggesting that fragmentation into submarkets facilitates firm survival when sunk costs are high.
FINITE ELEMENT ANALYSIS OF AN EMPTY 37-ELEMENT CANDU® FUEL BUNDLE TO STUDY THE EFFECTS OF PRESSURE TUBE CREEP
Authors: Lee Kyuhwan , Wowk Diane , Chan Paul
Published: April 2022

CANDU fuel bundles experience plastic deformations over time, and the horizontal configuration of the bundle in a crept pressure tube (PT) causes coolant to bypass the sagged lower half of the bundle. Bundle segments where the flow is limited may become more susceptible to dryout due to reactor aging. A finite element model of a 37-element fuel bundle was constructed using the commercial finite element software ANSYS to study the mechanical deformation behaviour of the bundle to maintain a coolable geometry. The main focus was on the contact between the fuel elements and between the fuel elements and PT. The complexity of the model due to all the contact pairs necessitated the use of high-powered computing hardware. Contact was demonstrated between the appendages, and sensitivity of the deformation to different boundary conditions (BC) was investigated. In particular, the radial position where the elements were welded to the endplate significantly impacted the magnitude of the element bowing. Expanding the PT up to 8% diametral creep demonstrated the proper functioning of the spacer pads (SP) and bearing pads in preventing sheath-to-sheath contact at the midplane and sheath-to-PT contact. However, the quarter plane was deemed to be the critical region due to the lack of SPs preventing excessive element bowing. This work has successfully illustrated the deformation of a CANDU fuel bundle, with contact, and its similarity with the bow profiles when compared with post-irradiation examination results and bundle heat-up tests.
Epistemic Action of Junior High School Students With Low Spatial Ability in Constructing Cube Nets
Authors: Sahrudin Asep , Budiarto Mega Teguh , Manuharawati Manuharawati
Published: April 2022

This study aims to describe the abstraction of epistemic action, which includes recognition, building-with and construction in junior high school students with low spatial ability in constructing cube nets. The research method used in this study is an exploratory qualitative method with the primary data in the form of interviews with two junior high school students with low spatial abilities who were selected using an inclusive purposive sampling technique. Based on data analysis on the two subjects, it was found that the two subjects constructed a cube net of 14 plain cube nets, 14 colour cube nets and 14 cube nets with variations of domino motifs. In the activity of constructing the cube nets, the two subjects used different epistemic actions; subject SR1 constructed the cube nets as a whole using only two epistemic actions, referred to as recognition and building-with. The activity of subject SR2 in constructing cube nets as a whole uses more epistemic actions that are tiered and interrelated with each other, where the first action that occurs is recognition, the second is building-with, and the third is construction.
Lessons from policy theories for the pursuit of equity in health, education and gender policy
Authors: Cairney Paul , St Denny Emily , Kippin Sean , Mitchell Heather
Published: April 2022

We highlight practical lessons from policy theories on how to promote equity through transformational changes in policymaking. Health, education and gender are at the heart of such equity policy agendas. Their advocates seek transformational changes to: policy, to reject a ‘neoliberal’ paradigm and address the social and economic causes of unfair inequalities, and policymaking, to foster collaboration and holistic government. However, they also report a wide gap between aspirations and outcomes, and many seek insights from policy studies on how to close it. Our aim is to use their common engagement with policy theories to connect their agendas, foster intersectoral dialogue, and ensure that their contributions are greater than the sum of their parts. A common take-home message is to be cautious about any attempt to turn a provocative transformational political project into a technical process containing a ‘toolbox’ or ‘playbook’.
Direct generation of high brightness path entangled N00N states using structured crystals and shaped pump beams
Authors: Di Domenico Giuseppe , Pearl Shaul , Karnieli Aviv , Trajtenberg-Mills Sivan , Juwiler Irit , Eisenberg Hagai S. , Arie Ady
Published: April 2022

Optical N00N states are N-photon path entangled states with important applications in quantum metrology. However, their use was limited till now owing to the difficulties of generating them in an efficient and robust manner. Here we propose and experimentally demonstrate two new simple, compact and robust schemes to generate path entangled N00N states with N = 2 that emerge directly from the nonlinear interaction. The first scheme is based on shaping the pump beam, and the second scheme is based on modulating the nonlinear coefficient of the crystal. These new methods exhibit high coincidence count rates for the detection of a N00N state, reaching record value of 2 × 105 coincidences per second. We observe super-resolution by measuring the second order correlation on the generated N = 2 state in an interferometric setup, showing the distinct fringe periodicity at half of the optical wavelength. Our findings may pave the way towards scalable and efficient sources for super-resolved quantum metrology applications and for the generation of bright squeezed vacuum states.
Prior-free imaging unknown target through unknown scattering medium
Authors: Shi Yingjie , Guo Enlai , Bai Lianfa , Han Jing
Published: April 2022

Imaging through scattering medium based on deep learning has been extensively studied. However, existing methods mainly utilize paired data-prior and lack physical-process fusion, and it is difficult to reconstruct hidden targets without the trained networks. This paper proposes an unsupervised neural network that integrates the universal physical process. The reconstruction process of the network is irrelevant to the system and only requires one frame speckle pattern and unpaired targets. The proposed network enables online optimization by using physical process instead of fitting data. Thus, large-scale paired data no longer need to be obtained to train the network in advance, and the proposed method does not need prior information. The optimization of the network is a physical-based process rather than a data mapping process, and the proposed method also increases the insufficient generalization ability of the learning-based method in scattering medium and targets. The universal applicability of the proposed method to different optical systems increases the likelihood that the method will be used in practice.
Automatic co-design of light field display system based on simulated annealing algorithm and visual simulation
Authors: Chen Yingying , Sang Xinzhu , Xing Shujun , Guan Yanxin , Zhang Hui , Wang Kuiru
Published: April 2022

Accurate, fast, and reliable modeling and optimization methods play a crucial role in designing light field display (LFD) system. Here, an automatic co-design method of LFD system based on simulated annealing and visual simulation is proposed. The process of LFD content acquisition and optical reconstruction are modeled and simulated, the objective function for evaluating the display effect of the LFD system is established according to the simulation results. In case of maximum objective function, the simulated annealing optimization method is used to find the optimal parameters of the LFD system. The validity of the proposed method is confirmed through optical experiments.
Monolithic single-frequency microring laser on an erbium-doped thin film lithium niobate fabricated by a photolithography assisted chemo-mechanical etching
Authors: Liang Youting , Zhou Junxia , Wu Rongbo , Fang Zhiwei , Liu Zhaoxiang , Yu Shupeng , Yin Difeng , Zhang Haisu , Zhou Yuan , Liu Jian , Wang Zhenhua , Wang Min , Cheng Ya
Published: April 2022

We overcome the difficulty in realizing a monolithic waveguide-coupled microring laser integrated on an erbium-doped thin film lithium niobate (Er: TFLN) using a photolithography assisted chemo-mechanical etching (PLACE) technique. We demonstrate an integrated single-frequency microring laser operating around 1531 nm wavelength. The PLACE technique, enabling integrated Er: TFLN photonics with low propagation loss, can thus be used to realize low cost mass production of monolithic on-chip microlasers with applications ranging from optical communication and photonic integrated circuit (PIC) to precision metrology and large-scale sensing.
Optimizing interneuron circuits for compartment-specific feedback inhibition
Authors: Keijser Joram , Sprekeler Henning
Published: April 2022

Cortical circuits process information by rich recurrent interactions between excitatory neurons and inhibitory interneurons. One of the prime functions of interneurons is to stabilize the circuit by feedback inhibition, but the level of specificity on which inhibitory feedback operates is not fully resolved. We hypothesized that inhibitory circuits could enable separate feedback control loops for different synaptic input streams, by means of specific feedback inhibition to different neuronal compartments. To investigate this hypothesis, we adopted an optimization approach. Leveraging recent advances in training spiking network models, we optimized the connectivity and short-term plasticity of interneuron circuits for compartment-specific feedback inhibition onto pyramidal neurons. Over the course of the optimization, the interneurons diversified into two classes that resembled parvalbumin (PV) and somatostatin (SST) expressing interneurons. Using simulations and mathematical analyses, we show that the resulting circuit can be understood as a neural decoder that inverts the nonlinear biophysical computations performed within the pyramidal cells. Our model provides a proof of concept for studying structure-function relations in cortical circuits by a combination of gradient-based optimization and biologically plausible phenomenological models.
A Phenome-Wide Association Study of genes associated with COVID-19 severity reveals shared genetics with complex diseases in the Million Veteran Program
Authors: Verma Anurag , Tsao Noah L. , Thomann Lauren O. , Ho Yuk-Lam , Iyengar Sudha K. , Luoh Shiuh-Wen , Carr Rotonya , Crawford Dana C. , Efird Jimmy T. , Huffman Jennifer E. , Hung Adriana , Ivey Kerry L. , Levin Michael G. , Lynch Julie , Natarajan Pradeep , Pyarajan Saiju , Bick Alexander G. , Costa Lauren , Genovese Giulio , Hauger Richard , Madduri Ravi , Pathak Gita A. , Polimanti Renato , Voight Benjamin , Vujkovic Marijana , Zekavat Seyedeh Maryam , Zhao Hongyu , Ritchie Marylyn D. ,   VA Million Veteran Program COVID-19 Science Initiative, Chang Kyong-Mi , Cho Kelly , Casas Juan P. , Tsao Philip S. , Gaziano J. Michael , O’Donnell Christopher , Damrauer Scott M. , Liao Katherine P.
Published: April 2022

The study aims to determine the shared genetic architecture between COVID-19 severity with existing medical conditions using electronic health record (EHR) data. We conducted a Phenome-Wide Association Study (PheWAS) of genetic variants associated with critical illness (n = 35) or hospitalization (n = 42) due to severe COVID-19 using genome-wide association summary data from the Host Genetics Initiative. PheWAS analysis was performed using genotype-phenotype data from the Veterans Affairs Million Veteran Program (MVP). Phenotypes were defined by International Classification of Diseases (ICD) codes mapped to clinically relevant groups using published PheWAS methods. Among 658,582 Veterans, variants associated with severe COVID-19 were tested for association across 1,559 phenotypes. Variants at the ABO locus (rs495828, rs505922) associated with the largest number of phenotypes (nrs495828 = 53 and nrs505922 = 59); strongest association with venous embolism, odds ratio (ORrs495828 1.33 (p = 1.32 x 10−199), and thrombosis ORrs505922 1.33, p = 2.2 x10-265. Among 67 respiratory conditions tested, 11 had significant associations including MUC5B locus (rs35705950) with increased risk of idiopathic fibrosing alveolitis OR 2.83, p = 4.12 × 10−191; CRHR1 (rs61667602) associated with reduced risk of pulmonary fibrosis, OR 0.84, p = 2.26× 10−12. The TYK2 locus (rs11085727) associated with reduced risk for autoimmune conditions, e.g., psoriasis OR 0.88, p = 6.48 x10-23, lupus OR 0.84, p = 3.97 x 10−06. PheWAS stratified by ancestry demonstrated differences in genotype-phenotype associations. LMNA (rs581342) associated with neutropenia OR 1.29 p = 4.1 x 10−13 among Veterans of African and Hispanic ancestry but not European. Overall, we observed a shared genetic architecture between COVID-19 severity and conditions related to underlying risk factors for severe and poor COVID-19 outcomes. Differing associations between genotype-phenotype across ancestries may inform heterogenous outcomes observed with COVID-19. Divergent associations between risk for severe COVID-19 with autoimmune inflammatory conditions both respiratory and non-respiratory highlights the shared pathways and fine balance of immune host response and autoimmunity and caution required when considering treatment targets.
Subnuclear localisation is associated with gene expression more than parental origin at the imprinted Dlk1-Dio3 locus
Authors: Mashoodh Rahia , Hülsmann Lisa C. , Dearden Frances L. , Takahashi Nozomi , Edwards Carol , Ferguson-Smith Anne C.
Published: April 2022

At interphase, de-condensed chromosomes have a non-random three-dimensional architecture within the nucleus, however, little is known about the extent to which nuclear organisation might influence expression or vice versa. Here, using imprinting as a model, we use 3D RNA- and DNA-fluorescence-in-situ-hybridisation in normal and mutant mouse embryonic stem cell lines to assess the relationship between imprinting control, gene expression and allelic distance from the nuclear periphery. We compared the two parentally inherited imprinted domains at the Dlk1-Dio3 domain and find a small but reproducible trend for the maternally inherited domain to be further away from the periphery however we did not observe an enrichment of inactive alleles in the immediate vicinity of the nuclear envelope. Using Zfp57KO ES cells, which harbour a paternal to maternal epigenotype switch, we observe that expressed alleles are significantly further away from the nuclear periphery.

However, within individual nuclei, alleles closer to the periphery are equally likely to be expressed as those further away. In other words, absolute position does not predict expression. Taken together, this suggests that whilst stochastic activation can cause subtle shifts in localisation for this locus, there is no dramatic relocation of alleles upon gene activation. Our results suggest that transcriptional activity, rather than the parent-of-origin, defines subnuclear localisation at an endogenous imprinted domain.
COX-2 is required to mediate crosstalk of ROS-dependent activation of MAPK/NF-κB signaling with pro-inflammatory response and defense-related NO enhancement during challenge of macrophage-like cell line with Giardia duodenalis
Authors: Zhao Yudan , Yang Yongwu , Liu Min , Qin Xuening , Yu Xiran , Zhao Huimin , Li Xiaoyun , Li Wei
Published: April 2022

Giardia duodenalis, the causative agent of giardiasis, is among the most important causes of waterborne diarrheal diseases around the world. Giardia infection may persist over extended periods with intestinal inflammation, although minimal. Cyclooxygenase (COX)-2 is well known as an important inducer of inflammatory response, while the role it played in noninvasive Giardia infection remains elusive. Here we investigated the regulatory function of COX-2 in Giardia-induced pro-inflammatory response and defense-related nitric oxide (NO) generation in macrophage-like cell line, and identified the potential regulators. We initially found that Giardia challenge induced up-regulation of IL-1β, IL-6, TNF-α, prostaglandin (PG) E2, and COX-2 in macrophages, and pretreatment of the cells with COX-2 inhibitor NS398 reduced expressions of those pro-inflammatory factors. It was also observed that COX-2 inhibition could attenuate the up-regulated NO release and inducible NO synthase (iNOS) expression induced by Giardia. We further confirmed that Giardia-induced COX-2 up-regulation was mediated by the phosphorylation of p38 and ERK1/2 MAPKs and NF-κB. In addition, inhibition of reactive oxygen species (ROS) by NAC was shown to repress Giardia-induced activation of MAPK/NF-κB signaling, up-regulation of COX-2 and iNOS, increased levels of PGE2 and NO release, and up-expressions of IL-1β, IL-6, and TNF-α. Collectively, in this study, we revealed a critical role of COX-2 in modulating pro-inflammatory response and defense-related NO production in Giardia-macrophage interactions, and this process was evident to be controlled by ROS-dependent activation of MAPK/NF-κB signaling. The results can deepen our knowledge of anti-Giardia inflammatory response and host defense mechanisms.
Generic approach for mathematical model of multi-strain pandemics
Authors: Lazebnik Teddy , Bunimovich-Mendrazitsky Svetlana
Published: April 2022

Multi-strain pandemics have emerged as a major concern. We introduce a new model for assessing the connection between multi-strain pandemics and mortality rate, basic reproduction number, and maximum infected individuals. The proposed model provides a general mathematical approach for representing multi-strain pandemics, generalizing for an arbitrary number of strains. We show that the proposed model fits well with epidemiological historical world health data over a long time period. From a theoretical point of view, we show that the increasing number of strains increases logarithmically the maximum number of infected individuals and the mean mortality rate. Moreover, the mean basic reproduction number is statistically identical to the single, most aggressive pandemic strain for multi-strain pandemics.
H∞-based control of multi-agent systems: Time-delayed signals, unknown leader states and switching graph topologies
Authors: Taghieh Amin , Mohammadzadeh Ardashir , Din Sami ud , Mobayen Saleh , Assawinchaichote Wudhichai , Fekih Afef
Published: April 2022

The paper investigates a leader-following scheme for nonlinear multi-agent systems (MASs). The network of agents involves time-delay, unknown leader’s states, external perturbations, and switching graph topologies. Two distributed protocols including a consensus protocol and an observer are utilized to reconstruct the unavailable states of the leader in a network of agents. The H∞-based stability conditions for estimation and consensus problems are obtained in the framework of linear-matrix inequalities (LMIs) and the Lyapunov-Krasovskii approach. It is ensured that each agent achieves the leader-following agreement asymptotically. Moreover, the robustness of the control policy concerning a gain perturbation is guaranteed. Simulation results are performed to assess the suggested schemes. It is shown that the suggested approach gives a remarkable accuracy in the consensus problem and leader’s states estimation in the presence of time-varying gain perturbations, time-delay, switching topology and disturbances. The H∞ and LMIs conditions are well satisfied and the error trajectories are well converged to the origin.
Were the socio-economic determinants of municipalities relevant to the increment of COVID-19 related deaths in Brazil in 2020?
Authors: Castro-Alves Julio , Silva Lídia Santos , Lima João Paulo , Ribeiro-Alves Marcelo
Published: April 2022

Background

The COVID-19 pandemic in Brazil has been showing a pattern of distribution of related deaths associated with individual socioeconomic status (SES). However, little is known about the role of SES in the distribution of the mortality rate in different population, from an ecological perspective.

Objective

The objective of this study was to evaluate the role of socioeconomic factors in the distribution of the COVID-19-related mortality rate among Brazilian municipalities in 2020.

Methods

We conducted a retrospective, cross-sectional, observational, population-wide, and ecological study, using data of COVID-19-related deaths from the Influenza Epidemiological Surveillance Information System database (SIVEP-Gripe) and SES from the Social Vulnerability Index (SVI), the Human Development Index (HDI), the Geographic Index of the Socioeconomic Context and Social Studies (GeoSES), and 2010 Demographic Census (IBGE/Brazil). We computed crude, age- and sex-standardized, and the latter offset by the time of exposure to the epidemic mortality rates. To determine socioeconomic factors associated with mortality rates we used log-linear models with state codes as a random effect and Haversine variance-covariance matrix.

Results

191,528 deaths were related to COVID-19 and distributed in 4,928 (88.55%) Brazilian municipalities. Whatever the socioeconomic indexes used, the R2 were very small to explain SMRT. Consistent across all socioeconomic indexes used, high-income, more educated, and well infrastructure municipalities generally had higher mortality rates.

Conclusion

Excluding the effect of demographic structure and pandemic timing from mortality rates, the contribution of SES to explain differences in COVID-19-related mortality rates among municipalities in Brazil became very low. The impact of SES on COVID-19-related mortality may vary across levels of aggregation. Urban infrastructure, which includes mobility structures, more complex economic activities and connections, may have influenced the average municipal death rate.
Breast cancer histopathological images recognition based on two-stage nuclei segmentation strategy
Authors: Hu Hongping , Qiao Shichang , Hao Yan , Bai Yanping , Cheng Rong , Zhang Wendong , Zhang Guojun
Published: April 2022

Pathological examination is the gold standard for breast cancer diagnosis. The recognition of histopathological images of breast cancer has attracted a lot of attention in the field of medical image processing. In this paper, on the base of the Bioimaging 2015 dataset, a two-stage nuclei segmentation strategy, that is, a method of watershed segmentation based on histopathological images after stain separation, is proposed to make the dataset recognized to be the carcinoma and non-carcinoma recognition. Firstly, stain separation is performed on breast cancer histopathological images. Then the marker-based watershed segmentation method is used for images obtained from stain separation to achieve the nuclei segmentation target. Next, the completed local binary pattern is used to extract texture features from the nuclei regions (images after nuclei segmentation), and color features were extracted by using the color auto-correlation method on the stain-separated images. Finally, the two kinds of features were fused and the support vector machine was used for carcinoma and non-carcinoma recognition. The experimental results show that the two-stage nuclei segmentation strategy proposed in this paper has significant advantages in the recognition of carcinoma and non-carcinoma on breast cancer histopathological images, and the recognition accuracy arrives at 91.67%. The proposed method is also applied to the ICIAR 2018 dataset to realize the automatic recognition of carcinoma and non-carcinoma, and the recognition accuracy arrives at 92.50%.
Pregnant women’s unmet need to communicate with a health professional during the SARS-CoV-2 pandemic lockdown in France: The Covimater cross-sectional study
Authors: Araujo-Chaveron Lucia , Doncarli Alexandra , Crenn-Hebert Catherine , Demiguel Virginie , Boudet-Berquier Julie , Barry Yaya , Gomes Do Espirito Santo Maria-Eugênia , Guajardo-Villar Andréa , Menguy Claudie , Tabaï Anouk , Wyndels Karine , Benachi Alexandra , Regnault Nolwenn
Published: April 2022

During the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic lockdown, communication between pregnant women and health professionals may have become complicated due to restrictions on movement and saturated health services. This could have impacts on pregnancy monitoring and women’s wellbeing. We aimed to i) describe the unmet need of pregnant women living in France to communicate with health professionals about the pandemic and their pregnancy during the lockdown, ii) assess the socio-demographic, medical and contextual factors associated with this unmet need. The Covimater cross-sectional study, conducted in July 2020, includes data on 500 adult women’s experiences of pregnancy during the first lockdown period in France (i.e., from March to May 2020). The women, all residents in metropolitan France, answered a web-based questionnaire about their conversations with health professionals during the lockdown, as well as their social and medical characteristics. A robust variance Poisson regression model was used to estimate crude or adjusted prevalence ratios (aPRs) for their unmet need to communicate with health professionals about the pandemic and their pregnancy. Forty-one percent of participants reported an unmet need to communicate with a health professional during the lockdown, mainly about the risk of transmitting SARS-CoV-2 to their baby and the consequences for the latter. Factors associated were: i) being professionally inactive (aPR = 1.58,CI95%[(1.14–2.21]), ii) having an educational level below secondary school diploma (1.38,[1.05,-1.81]), iii) having experienced serious arguments/violence (2.12,[1.28–3.52]), iv) being very worried about the pandemic (1.41,[1.11–1.78]), v) being primiparous (1.36,[1.06–1.74]) and vi) having had pregnancy consultations postponed/cancelled by health professionals during the lockdown (1.35,[1.06–1.73]). These results can be used to develop targeted strategies that ensure pregnant women are able to i) communicate with health professionals about the potential impact of the SARS-CoV-2 pandemic on their pregnancy, and ii) access up-to-date and reliable information on the consequences of SARS-CoV-2 for themselves and their child.
Slow sink rate in floated-demersal longline and implications for seabird bycatch risk
Authors: Rouxel Yann , Crawford Rory , Buratti Juan Pablo Forti , Cleasby Ian R.
Published: April 2022

Bycatch of birds in longline fisheries is a global conservation issue, with between 160,000–320,000 seabirds killed each year, primarily through being caught and drowned as they attempt to snatch baits off hooks as they are set. This conservation issue has received significant recognition in southern hemisphere longline fisheries over the past several decades, largely due to the impact on highly charismatic and highly threatened birds, notably Albatrosses. As a result, the use of effective mitigation measures has been subject to fisheries regulations to reduce seabird bycatch from longliners in a number of national jurisdictions and in several Regional Fisheries Management Organisations (RMFOs). While mitigation measures have been mandated in a number of north Pacific longline fisheries, this is largely not the case in north Atlantic longline fisheries. This includes vessels using floated-demersal longlines in the North-East Atlantic longline fishery targeting European Hake Merluccius merluccius, in which high levels of seabird bycatch are estimated. In this paper, we analysed the sinking speed of a floated-demersal longline used to target European Hake in the offshore waters of Scotland, to determine potential bycatch risks to seabirds. We deployed Time Depth Recorder devices at different points of the gear. We assessed how this gear performed in comparison to the best practice minimum sink rate of 0.3 m/s recommended by the Agreement on the Conservation of Albatrosses and Petrels (ACAP) to limit bird access to baited hooks. We found that the average sinking speed of the floated-demersal longline was substantially slower than the ACAP recommendation, between two and nine times slower in non-weighted parts of the gear down to 10m water depth. Our work also found that the sink rate is particularly slow in the top 2m of the water column, increasing with depth and stabilizing at depths over 10m, presumably a consequence of propeller wash behind the vessel. We calculated that the distance astern of the vessel for hooks to sink beyond susceptible seabirds’ reach largely exceeds optimum coverage of best practice design Bird Scaring Lines (100 m). Our results indicate that hooks from floated-demersal longlines are therefore readily open to seabird attacks, and as a result, present a clear bycatch risk. Research is needed to adapt existing mitigation measures to floated-longlines and to develop novel mitigation approaches to improve the sink rate of the gear without impacting target fish catch.
Examining lecture and inquiry-based laboratory performance for language minority students in science gateway courses
Authors: Fischer Christian , Nguyen Ha , Estrella Gabriel , Collins Penelope
Published: April 2022

This study examined the effectiveness of lectures and inquiry-based instruction in supporting learning for language minority (LM) students in science gateway courses at a large public research university. Utilizing institutional data from 6,911 students across nine years, we fitted cross–lagged panel designs to model associations between lecture courses and inquiry-based laboratory courses for both LM and non-LM students in two-course sequences of introductory college Physics and Chemistry. We found that initial performance in lectures and laboratory sessions can be a predictor of subsequent course performance across disciplines and independent of LM status. Notably, while LM students performed worse in the initial lecture course, LM status resulted in neither worse performance in inquiry-based laboratory courses nor in worse performance in subsequent courses in the science gateway course sequence. Thus, this study suggests that interventions intended to support LM students in college science should target the initial courses in the corresponding science gateway course sequences.
Quantifying the resilience of rapid transit systems: A composite index using a demand-weighted complex network model
Authors: Tan Hong En , Hong Wen Oon Jeremy , Othman Nasri bin , Legara Erika Fille , Monterola Christopher , Ramli Muhamad Azfar
Published: April 2022

Quantifying the impact of disruptions on rapid transit resilience is crucial in transport planning. We propose a composite resilience score for rapid transit systems comprising four indicators that measure different physical aspects of resilience. These are computed using a weighted network model incorporating the network structure of stations, differences in line capacities, and travel demand. Our method provides a holistic assessment of network resilience and allows for straightforward comparisons of different scenarios including rail expansions and changes in demand. Applying our methodology to multiple configurations of Singapore’s rapid transit system, we demonstrate its effectiveness in capturing the impact of planned future lines. We also showcase through simulated studies how tipping points in resilience arise when demand varies. Furthermore, we demonstrate that system resilience could be unintentionally reduced by redistributing commuting demand to peripheral areas. Our methodology is easily applied to other rapid transit systems around the world.
The upper bound of cumulative return of a trading series
Authors: Yang Can , Zhai Junjie , Li Helong
Published: April 2022

We present an upper bound of cumulative return in financial trading time series to formulate the most possible profit of many trades. The bound can be used to formally analyze the cumulative return varied by the number of trades, the mean return, and transaction cost rate. We also prove and show the validation of the upper bound, and verify the trend of cumulative return is consistent with that of the proposed bound via simulation experiments. Introducing a set of stochastic assessment methodology based on bootstrap into the organization of experimental data, we illustrate the influence on cumulative return from the relationship between the mean of return and transaction cost rate, technical trading rules, and stock indexes. To the best of our knowledge, this is the first to present and prove a bound of cumulative return of a stock trading series in theory. Both theoretical analyses and simulation experiments show the presented bound is a good mathematical tool to evaluate the trading risks and chances using given trading rules in stock trading markets.
Development of a conceptual model for evaluating new non-curative and curative therapies for sickle cell disease
Authors: Johnson Kate M. , Jiao Boshen , Bender M. A. , Ramsey Scott D. , Devine Beth , Basu Anirban
Published: April 2022

Background

Sickle cell disease (SCD) is a clinically heterogeneous disease with many acute and chronic complications driven by ongoing vaso-occlusion and hemolysis. It causes a disproportionate burden on Black and Hispanic communities. Our objective was to follow the SMDM/ISPOR Task Force recommendations for good practices and create a conceptual model of the progression of SCD under current clinical practice to inform cost-effectiveness analyses (CEA) of promising curative therapies in the pipeline over a lifetime horizon.

Methods

We used consultations with experts, providers, and patients to identify acute events and chronic conditions in the conceptual model. We compared our model structure to previous CEA models of interventions for SCD, assessed the prevalence of the identified disease attributes in Medicaid and Medicare claims databases, and identified relevant outcomes following the 2nd Panel in CEA. We determined an appropriate modeling technique and relevant data sources for parameterizing the model.

Results

The conceptual model structure included four dimensions of disease: chronic pain, acute events, chronic conditions, and treatment complications, spanning 26 disease attributes with significant impacts on health-related quality of life and resource. We modeled chronic pain separately to reflect its importance to patients and interaction with all other disease attributes. We identified additional data sources for health state utilities and non-medical costs and benefits of SCD. We will use a microsimulation model with age- and sex-specific transitions between health states predicted by patient demographic characteristics and disease history.

Conclusion

Developing the model structure through an explicit process of model conceptualization can increase the transparency and accuracy of results. We will populate the conceptual model with the data sources described and evaluate the cost-effectiveness of curative therapies.
The variability of nuclear DNA content of different Pelargonium species estimated by flow cytometry
Authors: Plaschil Sylvia , Abel Simone , Klocke Evelyn
Published: April 2022

Pelargonium is a versatile genus mainly from the Cape Region, South Africa. The genus is divided into four subgenera and 16 sections characterized by several groups of chromosomes sizes and numbers. The DNA content of species from all subgenera and sections of Pelargonium, except for the sections Subsucculentia and Campylia was estimated using flow cytometry. Nuclei of Pelargonium samples (leaf or petal tissue) and an internal plant standard (leaf tissue) were isolated together and stained with propidium iodide. The DNA content was estimated providing that the 2C peaks of sample and standard be in linearity in the flow cytometer histograms. In total, 96 Pelargonium accessions of 60 species (22 Pelargonium species for the first time) were analyzed. The 2C DNA content ranged from 0.84 pg (P. longifolium, section Hoarea) to 6.69 pg (P. schizopetalum, section Magnistipulacea) and the corresponding 1Cx DNA content from 0.42 pg (P. longifolium) to 1.72 pg (P. transvaalense. This demonstrates the high plasticity within the genus Pelargonium. Some species, such as P. peltatum accessions revealed a pronounced endopolyploidization in leaves but not in petals underlining the importance to choose the right tissue as sample for the flow cytometry analysis. The reported genome sizes are a step forward towards the characterization of the Pelargonium collection within the German Gene Bank for Ornamental Plants and a valuable base for future sequencing programs of the Pelargonium genomes.
An evaluation to determine if reading the mind in the eyes scores can be improved through training
Authors: Stonewall Jacklin Hope , Ouverson Kaitlyn M. , Helgerson Andrina , Gilbert Stephen B. , Dorneich Michael C.
Published: April 2022

The Reading the Mind in the Eyes Test (RMET) has received attention due to its correlation with collective intelligence. If the RMET is a marker of collective intelligence, training to improve RMET could result in better teamwork, whether for human-human or human-AI (artificial intelligence) in composition. While training on related skills has proven effective in the literature, RMET training has not been studied. This research evaluates the development of RMET training, testing the impact of two training conditions (Naturalistic Training and Repeated RMET Practice) compared to a control. There were no significant differences in RMET scores due to training, but speed of response was positively correlated to RMET score for high-scoring participants. Both management professionals and AI creators looking to cultivate team skill through the application of the RMET may need to reconsider their tool selection.
Haemostatic differences between SARS-CoV-2 PCR-positive and negative patients at the time of hospital admission
Authors: de Laat B. , Traets M. J. M. , De Laat-Kremers R. W. M. , Verweij S. P. , Ninivaggi M. , Jong E. , Huskens D. , Blok B. A. , Remme G. C. P. , Miszta A. , Nijhuis R. H. T. , Herder G. J. M. , Fijnheer R. , Roest M. , Fiolet A. T. L. , Remijn J. A.
Published: April 2022

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is associated with thrombosis. We conducted a cohort study of consecutive patients, suspected of SARS-CoV-2 infection presented to the emergency department. We investigated haemostatic differences between SARS-CoV-2 PCR positive and negative patients, with dedicated coagulation analysis. The 519 included patients had a median age of 66 years, and 52.5% of the patients were male. Twenty-six percent of the patients were PCR-positive for SARS-CoV-2.PCR positive patients had increased levels of fibrinogen and (active) von Willebrand Factor (VWF) and decreased levels of protein C and α2-macroglobulin compared to the PCR negative patients. In addition, we found acquired activated protein C resistance in PCR positive patients. Furthermore, we found that elevated levels of factor VIII and VWF and decreased levels of ADAMTS-13 were associated with an increased incidence of thrombosis in PCR positive patients. In conclusion, we found that PCR positive patients had a pronounced prothrombotic phenotype, mainly due to an increase of endothelial activation upon admission to the hospital. These findings show that coagulation tests may be considered useful to discriminate severe cases of COVID-19 at risk for thrombosis.
A streamlined method for the fast and cost-effective detection of bacterial pathogens from positive blood cultures for the BacT/ALERT blood culture system using the Vitek MS mass spectrometer
Authors: Forster Johannes , Kohlmorgen Britta , Haas Julian , Weis Philipp , Breunig Lukas , Turnwald Doris , Mizaikoff Boris , Schoen Christoph
Published: April 2022

Background and objective

Prompt pathogen identification of blood stream infections is essential to provide appropriate antibiotic treatment. Therefore, the objective of this prospective single centre study was to establish an inexpensive, fast and accurate protocol for bacterial species identification with SDS protein-extraction directly from BacT/Alert® blood culture (BC) bottles by VitekMS®.

Results

Correct species identification was obtained for 198/266 (74.4%, 95%-CI = [68.8%, 79.6%]) of pathogens. The protocol was more successful in identifying 87/96 (91.4%, 95%-CI = [83.8%, 93.2%]) gram-negative bacteria than 110/167 (65.9%, 95%-CI = [58.1%, 73.0%]) gram-positive bacteria. The hands-on time for sample preparation and measurement was about 15 min for up to five samples. This is shorter than for most other protocols using a similar lysis-centrifugation approach for the combination of BacT/Alert® BC bottles and the Vitek® MS mass spectrometer. The estimated costs per sample were approx. 1.80€ which is much cheaper than for commercial kits.

Conclusion

This optimized protocol allows for accurate identification of bacteria directly from blood culture bottles for laboratories equipped with BacT/Alert® blood culture bottles and VitekMS® mass spectrometer.
Molecular characterization and expression variation of the odorant receptor co-receptor in the Formosan subterranean termite
Authors: Castillo Paula , Husseneder Claudia , Sun Qian
Published: April 2022

Subterranean termites live in underground colonies with a division of labor among castes (i.e., queens and kings, workers, and soldiers). The function of social colonies relies on sophisticated chemical communication. Olfaction, the sense of smell from food, pathogens, and colony members, plays an important role in their social life. Olfactory plasticity in insects can be induced by long- and short-term environmental perturbations, allowing adaptive responses to the chemical environment according to their physiological and behavioral state. However, there is a paucity of information on the molecular basis of olfaction in termites. In this study, we identified an ortholog encoding the odorant receptor co-receptor (Orco) in the Formosan subterranean termite,Coptotermes formosanus, and examined its expression variation across developmental stages and in response to social conditions. We found thatC.formosanusOrco showed conserved sequence and structure compared with other insects. Spatial and temporal analyses showed that theOrcogene was primarily expressed in the antennae, and it was expressed in eggs and all postembryonic developmental stages. The antennal expression ofOrcowas upregulated in alates (winged reproductives) compared with workers and soldiers. Further, the expression ofOrcodecreased in workers after starvation for seven days, but it was not affected by the absence of soldiers or different group sizes. Our study reveals the molecular characteristics ofOrcoin a termite, and the results suggest a link between olfactory sensitivity and nutritional status. Further studies are warranted to better understand the role ofOrcoin olfactory plasticity and behavioral response.
Thermo-mechanics aspects of isochoric cryopreservation: A new modeling approach and comparison with experimental data
Authors: Solanki Prem K. , Rabin Yoed
Published: April 2022

A new mathematical model is proposed for the analysis of thermo-mechanics effects during isochoric cryopreservation. In that process, some ice crystallization in a fixed-volume container drives pressure elevation, which may be favorable to the preservation of biological material when it resides in the unfrozen portion of the same container. The proposed model is comprehensive, integrating for the first time concepts from the disparate fields of thermodynamics, heat transfer, fluid mechanics, and solid mechanics. The novelty in this study is in treating the cryopreserved material as having a pseudo-viscoelastic behavior over a very narrow temperature range, without affecting the mechanical behavior of the material in the rest of the domain. This unique approach permits treating the domain as a continuum, while avoiding the need to trace freezing fronts and sperate the analysis to liquid and solid subdomains. Consistent with the continuum approach, the heat transfer problem is solved using the enthalpy approach. The presented analysis focusses on isochoric cooling of pure water between standard atmospheric conditions and the triple point of liquid water, ice Ih, and ice III (-22°C and 207.4 MPa). The proposed model is also applicable to isochoric vitrification, by substituting the pseudo-viscoelastic material model with the real viscosity model of the vitrifying material. Results of this study display good agreement with phase-diagram data at steady state, and with experimental data from the literature. Furthermore, this study provides a venue to discussing experimentation aspects of isochoric cryopreservation. The proposed model is further demonstrated on a 3D problem, while discussing scale considerations, crystallization conditions, and transient effects. Notably, the new model can be used to bridge the gap between limited pressure and temperature measurements during cryopreservation and the analysis of the continuum. Arguably, this study presents the most advanced thermo-mechanics model to solve practical problems relating to isochoric cryopreservation.