bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reciprocal EGFR signaling in the anchor cell ensures precise inter-organ connection during Caenorhabditis elegans vulval morphogenesis
Authors: Spiri Silvan , Berger Simon , Mereu Louisa , DeMello Andrew , Hajnal Alex 
Published: January 2022

ABSTRACT
During Caenorhabditis elegans vulval development, the uterine anchor cell (AC) first secretes an epidermal growth factor (EGF) to specify the vulval cell fates and then invades the underlying vulval epithelium. By doing so, the AC establishes direct contact with the invaginating primary vulF cells and attaches the developing uterus to the vulva. The signals involved and the exact sequence of events joining these two organs are not fully understood. Using a conditional let-23 EGF receptor (EGFR) allele along with novel microfluidic short- and long-term imaging methods, we discovered a specific function of the EGFR in the AC during vulval lumen morphogenesis. Tissue-specific inactivation of let-23 in the AC resulted in imprecise alignment of the AC with the primary vulval cells, delayed AC invasion and disorganized adherens junctions at the contact site forming between the AC and the dorsal vulF toroid. We propose that EGFR signaling, activated by a reciprocal EGF cue from the primary vulval cells, positions the AC at the vulval midline, guides it during invasion and assembles a cytoskeletal scaffold organizing the adherens junctions that connect the developing uterus to the dorsal vulF toroid. Thus, EGFR signaling in the AC ensures the precise alignment of the two developing organs.
HDLs extract lipophilic drugs from cells
Authors: Zheng Adi , Dubuis Gilles , Georgieva Maria , Mendes Ferreira Carla Susana , Serulla Marc , del Carmen Conde Rubio Maria , Trofimenko Evgeniya , Mercier Thomas , Decosterd Laurent , Widmann Christian 
Published: January 2022

ABSTRACT
High-density lipoproteins (HDLs) prevent cell death induced by a variety of cytotoxic drugs. The underlying mechanisms are however still poorly understood. Here, we present evidence that HDLs efficiently protect cells against thapsigargin (TG), a sarco/endoplasmic reticulum (ER) Ca2+-ATPase (SERCA) inhibitor, by extracting the drug from cells. Drug efflux could also be triggered to some extent by low-density lipoproteins and serum. HDLs did not reverse the non-lethal mild ER stress response induced by low TG concentrations or by SERCA knockdown, but HDLs inhibited the toxic SERCA-independent effects mediated by high TG concentrations. HDLs could extract other lipophilic compounds, but not hydrophilic substances. This work shows that HDLs utilize their capacity of loading themselves with lipophilic compounds, akin to their ability to extract cellular cholesterol, to reduce the cell content of hydrophobic drugs. This can be beneficial if lipophilic xenobiotics are toxic but may be detrimental to the therapeutic benefit of lipophilic drugs such as glibenclamide.
Games como máquinas de aprendizagem: um relato de experiência com o uso dos games Assassin´s Creed e Civilization VI na disciplina de História
Authors: Caetano Nêto Juliana , De Menezes Patrick 
Published: January 2022

Além de uma experiência lúdica, o uso de jogos na educação propicia o desenvolvimento cognitivo e emocional e torna-se um forte aliado na escolha de novas metodologias para o ensino. Games comerciais, além de elementos da cultura digital, são narrativas hipermidiáticas que propiciam experiências imersivas com forte poder de engajamento. Este artigo pretende refletir sobre o potencial pedagógico do uso de games comerciais na educação básica em vista das potencialidades desses ambientes imersivos como máquinas de aprendizagem. O desenho metodológico contemplou as etapas de análise bibliográfica da teoria dos jogos e do relato de experiência do uso de dois games comerciais, Assassin´s Creed: Origins e Civilization VI, no sexto ano do ensino fundamental, em uma escola privada bilíngue em São Paulo. A proposta pedagógica pretendeu engajar os alunos a partir da imersão que uma narrativa gamificada propicia, evidenciando as potencialidades do uso de games na educação. Os resultados sugerem que a imersão nesses ambientes permite a experimentação significativa de um conteúdo pedagógico, a personalização, a agência e o exercício metacognitivo, desenvolvendo tanto habilidades cognitivas quanto socioemocionais.
Predicting dispensing errors in community pharmacies: An application of the Systematic Human Error Reduction and Prediction Approach (SHERPA)
Authors: Ashour Ahmed , Phipps Denham L. , Ashcroft Darren M. 
Published: January 2022

Introduction
The objective of this study was to use a prospective error analysis method to examine the process of dispensing medication in community pharmacy settings and identify remedial solutions to avoid potential errors, categorising them as strong, intermediate, or weak based on an established patient safety action hierarchy tool.

Method
Focus group discussions and non-participant observations were undertaken to develop a Hierarchical Task Analysis (HTA), and subsequent focus group discussions applied the Systematic Human Error Reduction and Prediction Approach (SHERPA) focusing on the task of dispensing medication in community pharmacies. Remedial measures identified through the SHERPA analysis were then categorised as strong, intermediate, or weak based on the Veteran Affairs National Centre for Patient Safety action hierarchy. Non-participant observations were conducted at 3 pharmacies, totalling 12 hours, based in England. Additionally, 7 community pharmacists, with experience ranging from 8 to 38 years, participated in a total of 4 focus groups, each lasting between 57 to 85 minutes, with one focus group discussing the HTA and three applying SHERPA. A HTA was produced consisting of 10 sub-tasks, with further levels of sub-tasks within each of them.

Results
Overall, 88 potential errors were identified, with a total of 35 remedial solutions proposed to avoid these errors in practice. Sixteen (46%) of these remedial measures were categorised as weak, 14 (40%) as intermediate and 5 (14%) as strong according to the Veteran Affairs National Centre for Patient Safety action hierarchy. Sub-tasks with the most potential errors were identified, which included ‘producing medication labels’ and ‘final checking of medicines’. The most common type of error determined from the SHERPA analysis related to omitting a check during the dispensing process which accounted for 19 potential errors.

Discussion
This work applies both HTA and SHERPA for the first time to the task of dispensing medication in community pharmacies, detailing the complexity of the task and highlighting potential errors and remedial measures specific to this task. Future research should examine the effectiveness of the proposed remedial solutions to improve patient safety.
Influenza vaccine in chronic obstructive pulmonary disease among elderly male veterans
Authors: Young-Xu Yinong , Smith Jeremy , Nealon Joshua , Mahmud Salaheddin M. , Van Aalst Robertus , Thommes Edward W. , Neupane Nabin , Lee Jason K. H. , Chit Ayman 
Published: January 2022

Background
Prior studies have established those elderly patients with chronic obstructive pulmonary disease (COPD) are at elevated risk for developing influenza-associated complications such as hospitalization, intensive-care admission, and death. This study sought to determine whether influenza vaccination could improve survival among elderly patients with COPD.

Materials/Methods
This study included Veterans (age ≥ 65 years) diagnosed with COPD that received care at the United States Veterans Health Administration (VHA) during four influenza seasons, from 2012–2013 to 2015–2016. We linked VHA electronic medical records and Medicare administrative files to Centers for Disease Control and Prevention National Death Index cause of death records as well as influenza surveillance data. A multivariable time-dependent Cox proportional hazards model was used to compare rates of mortality of recipients of influenza vaccination to those who did not have records of influenza vaccination. We estimated hazard ratios (HRs) adjusted for age, gender, race, socioeconomic status, comorbidities, and healthcare utilization.

Results
Over a span of four influenza seasons, we included 1,856,970 person-seasons of observation where 1,199,275 (65%) had a record of influenza vaccination and 657,695 (35%) did not have a record of influenza vaccination. After adjusting for comorbidities, demographic and socioeconomic characteristics, influenza vaccination was associated with reduced risk of death during the most severe periods of influenza seasons: 75% all-cause (HR = 0.25; 95% CI: 0.24–0.26), 76% respiratory causes (HR = 0.24; 95% CI: 0.21–0.26), and 82% pneumonia/influenza cause (HR = 0.18; 95% CI: 0.13–0.26). A significant part of the effect could be attributed to “healthy vaccinee” bias as reduced risk of mortality was also found during the periods when there was no influenza activity and before patients received vaccination: 30% all-cause (HR = 0.70; 95% CI: 0.65–0.75), 32% respiratory causes (HR = 0.68; 95% CI: 0.60–0.78), and 51% pneumonia/influenza cause (HR = 0.49; 95% CI: 0.31–0.78). However, as a falsification study, we found that influenza vaccination had no impact on hospitalization due to urinary tract infection (HR = 0.97; 95% CI: 0.80–1.18).

Conclusions
Among elderly patients with COPD, influenza vaccination was associated with reduced risk for all-cause and cause-specific mortality.
Solar activity and COVID-19 pandemic
Authors: Ragulskaya Maria 
Published: January 2022

Abstract
Solar activity (SA) dynamics increases mankind’s evolutionary adaptability to pandemics. Flu pandemics from 1880 to 2020 took place during maximum or minimum of solar cycles. The article discusses several factors that modulated the development of the COVID-19 pandemic: SA dynamic, genetic population features, environment temperature, the effect of lockdowns, and vaccination in various countries. The population genetic composition turned out to be the most significant factor for coronavirus mortalities during a SA global minimum 2019-2020. COVID-19 pandemic is most severe in countries with a dominant haplogroup R1b (the relative number of deaths per million is more than 12-25). Local COVID-19 epidemics were more easily in countries with a dominant haplogroup N (relative number of deaths less than 3). The incidence per million people in haplogroups R1b: R1a: N has a ratio of about 7: 2: 1. This ratio does not depend on the pandemic waves and the population vaccinated rate. Vaccination effectiveness may depend on the population’s genetic characteristics too.
It is expected to maintain extremely low solar activity during the 30 years. Under these conditions, a twofold increase in the number of pandemics (every 5-6 years instead of 10-11 years) can be expected with pronounced genogeographic differences.
Image and Word in Postmodern Poetry: Friederike Mayröcker’s BROTWOLKE
Authors: Schloon Jutta 
Published: January 2022

Abstract
This article explores the interplay of visual arts and poetic images in postmodern poetry, focusing on the case of Friederike Mayröcker’s poem BROTWOLKE, nach Karla Woisnitza (1996) [BREADCLOUD, after Karla Woisnitza]. The article shows that BROTWOLKE belongs to a group of texts whose titles indicate an ekphrasis or an intermedial quality, but whose specific point of reference is absent. Rather than referencing to a specific painting, the poem thus showcases different aspects of the visual. Offering a close reading of the poem, the article explores Mayröcker’s special technique of image-writing and its dynamic effect on the reader. The article argues that the poem both “shows the word” and “writes the image.” It is shown that Mayröcker’s stream-of-consciousness is a process that refers to the act of writing in the first place and then to an inventory of texts and images that float the text as a stream of sense-data.
Statistical modeling of COVID-19 deaths with excess zero counts
Authors: Khedhiri Sami 
Published: January 2022

Abstract

Objectives
Modeling and forecasting possible trajectories of COVID-19 infections and deaths using statistical methods is one of the most important topics in present time. However, statistical models use different assumptions and methods and thus yield different results. One issue in monitoring disease progression over time is how to handle excess zeros counts. In this research, we assess the statistical empirical performance of these models in terms of their fit and forecast accuracy of COVID-19 deaths.

Methods
Two types of models are suggested in the literature to study count time series data. The first type of models is based on Poisson and negative binomial conditional probability distributions to account for data over dispersion and using auto regression to account for dependence of the responses. The second type of models is based on zero-inflated mixed auto regression and also uses exponential family conditional distributions. We study the goodness of fit and forecast accuracy of these count time series models based on autoregressive conditional count distributions with and without zero inflation.

Results
We illustrate these methods using a recently published online COVID-19 data for Tunisia, which reports daily death counts from March 2020 to February 2021. We perform an empirical analysis and we compare the fit and the forecast performance of these models for death counts in presence of an intervention policy. Our statistical findings show that models that account for zero inflation produce better fit and have more accurate forecast of the pandemic deaths.

Conclusions
This paper shows that infectious disease data with excess zero counts are better modelled with zero-inflated models. These models yield more accurate predictions of deaths related to the pandemic than the generalized count data models. In addition, our statistical results find that the lift of travel restrictions has a significant impact on the surge of COVID-19 deaths. One plausible explanation of the outperformance of zero-inflated models is that the zero values are related to an intervention policy and therefore they are structural.
Dynamic data-driven algorithm to predict cumulative COVID-19 infected cases using susceptible-infected-susceptible model
Authors: Anand Abhinav , Kumar Saurabh , Ghosh Palash 
Published: January 2022

Abstract

Objectives
In recent times, researchers have used Susceptible-Infected-Susceptible (SIS) model to understand the spread of the COVID-19 pandemic. The SIS model has two compartments, susceptible and infected. In this model, the interest is to determine the number of infected cases at a given time point. However, it is also essential to know the cumulative number of infected cases at a given time point, which is not directly available from the SIS model's present structure. The objective is to provide a modified SIS model to address that gap.

Methods
In this work, we propose a modified structure of the SIS model to determine the cumulative number of infected cases at a given time point. We develop a dynamic data-driven algorithm to estimate the model parameters based on an optimally chosen training phase to predict the number of cumulative infected cases.

Results
We demonstrate the proposed algorithm's prediction performance using COVID-19 data from Delhi, India's capital city. Considering different time periods, we observed the proposed algorithm’s performance using the modified SIS model is well to predict the cumulative infected cases with two different prediction periods 30 and 40. Our study supports the idea of estimating the modified SIS model's parameters based on the optimal training phase instead of the entire history as the training phase.

Conclusions
Here, we have provided a modified SIS model that accounts for deaths due to disease and predicts cumulative infected cases based on an optimally chosen training phase. The proposed estimation process is beneficial when the disease under study changes its spreading pattern over time. We have developed the modified SIS model considering COVID-19 as the disease under focus. However, the model and algorithms can be applied to predict the cumulative cases of other infectious diseases.
Existence results for a system of nonlinear operator equations and block operator matrices in locally convex spaces
Authors: Bahidi Fatima , Krichen Bilel , Mefteh Bilel 
Published: January 2022

Abstract
The purpose of this paper is to prove some fixed point results dealing with a system of nonlinear equations defined in an angelic Hausdorff locally convex space

(
X
,

{

|
⋅
|

p

}

p
∈
Λ

)

(X,\{\lvert\,{\cdot}\,\rvert_{p}\}_{p\in\Lambda})

having the 𝜏-Krein–Šmulian property, where 𝜏 is a weaker Hausdorff locally convex topology of 𝑋.
The method applied in our study is connected with a family

Φ
Λ
τ

\Phi_{\Lambda}^{\tau}

-MNC of measures of weak noncompactness and with the concept of 𝜏-sequential continuity.
As a special case, we discuss the existence of solutions for a

2
×
2

2\times 2

block operator matrix with nonlinear inputs.
Furthermore, we give an illustrative example for a system of nonlinear integral equations in the space

C
⁢

(

R
+

)

×
C

⁢

(

R
+

)

C(\mathbb{R}^{+})\times C(\mathbb{R}^{+})

to verify the effectiveness and applicability of our main result.
Pregnancy outcomes with differences in grain consumption: a randomized controlled trial
Authors: Yamada Pamella , Paetow Alexandra , Chan Michael , Arslan Alan , Landberg Rikard , Young Bruce K. 
Published: January 2022

Abstract

Objectives
Contemporary obstetrics has begun to appreciate the importance of diet in pregnancy, but guidelines are not based on robust data. The hypothesis that a whole grains diet improves pregnancy outcomes is tested in this study. We compared maternal and neonatal outcomes for a pregnancy diet containing 75% of total carbohydrates as refined grains with outcomes for a diet with 75% of total carbohydrates as whole grains.

Methods
This was a randomized interventional study in a clinic population over the last 4–7 months of normal pregnancy with extensive compliance measures. Besides obstetrical and neonatal outcomes, anthropometric measurements were done. In addition to food frequency questionnaires (FFQs), total plasma alkyl resorcinols, a unique quantitative measure of whole grains, were used as a measure of whole grain consumption.

Results
The data show effective compliance and no difference in outcomes between the diets with regard to maternal weight gain, birth weights, subcutaneous fat and glucose tolerance.

Conclusions
Ensuring compliance to a proper pregnancy diet resulted in satisfactory weight gain and normal outcomes even when the proportion of whole grains consumed is only 25% of total carbohydrates.
Dostoevsky and the Word “Jew”: A Quantitative Analysis of F.M. Dostoevsky’s Greatest Novels
Authors: Nirenberg Yigal , Prebor Gila 
Published: January 2022

Abstract
The relationship of F.M Dostoevsky with Jews attracted the attention of numerous scholars throughout the years, many of whom attempted to grapple with the views of the great writer and their origin. In this article we will attempt to show this relationship by analyzing six of Dostoevsky’s greatest novels, written through the entirety of his career. We are analyzing these novels using Distant Reading in conjunction with Close Reading, tools that are commonly used in the field of digital humanities, which enabled us to show visually the extent of F.M. Dostoevsky’s engagement with this topic. The study poses two research questions: 1. To what extent did the writer use the more denigrating term “Zhid”? 2. Can we see a correlation between the writer’s portrayal of Jews with the definition of Anti-Semitism as it was known during his era? The obtained results show that there is clearly a correlation between the definition of anti-Semitism as it was understood at the time of Dostoevsky and the “Jew” as depicted in his novels, as the financial motif is paramount in the depiction of Jews as this is the central topic in 49% of the negative sentences in which the word “Jew” appears, with 59% of these sentences classified as stereotypes. The negative financial stereotype constitutes 32% of the entire corpus. In addition, we found the term “Zhid” is commonly used by the writer, a variation of which constitutes 75% of the total terms used to depict Jews.
Unusual neurological manifestations of bilateral medial medullary infarction: A case report
Authors: Zheng Ruizhi , Zhang Ting , Zeng Xianzhu , Yu Miao , Jin Zhao , Zhang Jing 
Published: January 2022

Abstract
Bilateral medial medullary infarction (BMMI) is an extremely rare type of cerebrovascular accident often resulting in poor functional consequences. “Heart appearance” on diffusion-weighted imaging (DWI) of magnetic resonance imaging (MRI) is the unique presentation of BMMI. In this article, we present an acute ischemic stroke patient whose brain MRI showed the atypical “heart appearance” sign, manifested unusual bilateral central facial paralysis concurrently. For an early diagnosis of BMMI, it is essential to recognize the characteristic clinical and MRI findings of this rare type of stroke. Abnormal small dot or linear DWI signal at the midline of the brainstem should not be ignored at the early stage of stroke.
Design framework for polarization-insensitive multifunctional achromatic metalenses
Authors: Heiden Jacob T. , Jang Min Seok 
Published: January 2022

Abstract
Controlling the wavefront of light, especially on a subwavelength scale, is pivotal in modern optics. Metasurfaces present a unique platform for realizing flat lenses, called metalenses, with thicknesses on the order of the wavelength. Despite substantial effort, however, suppressing the chromatic aberrations over large operational bandwidths of metalenses still remains a challenge. Here, we develop a systematic design method enabling a simultaneous, polarization-insensitive control of the phase and the group delay of a light beam based on libraries of transmission-mode dielectric meta-elements. Mid-infrared achromatic metalenses are designed and theoretically analyzed to have diffraction-limited focal spots with vanishing chromatic aberrations in the operating wavelength range of 6–8.5 μm, while maintaining high focusing efficiencies of 41% on average. The proposed methodology, which can be used as a general design rule for all spectra, also provides a versatile design scheme for ultrashort pulse focusing and achromatic vortex-beam generation (orbital angular momentum), representing a major advance toward practical implementations of functional metalenses.
Terahertz meta-chip switch based on C-ring coupling
Authors: Gong Sen , Zeng Hongxin , Zhang Qianyu , Bi Chunyang , Wang Lan , Zhou Tianchi , Yang Ziqiang , Zhang Yaxin , Meng Fanzhong , Zhang Zhenpeng , Fang Yuan 
Published: January 2022

Abstract
Terahertz switch is one of the key components of future communication, radar, and imaging systems. Limited by the strong electromagnetic coupling in subwavelength scale, the traditional terahertz switch is difficult to meet the increasing application requirements. In this paper, a parallel topology terahertz meta-chip switch based on the combination of equivalent circuit theory and electromagnetic coupling is proposed. The meta-chip is realized by adjusting the density of two-dimensional electron gas of InP-HEMT, which converts the electromagnetic coupling between the microstructure and microstrips. By using the 90 nm gate length InP-HEMT process, a C-ring loaded meta-chip is fabricated and tested in this paper. The results show an insertion loss lower than 1 dB with a 10 dB switching ratio, which is 20% higher than that without C-ring while ensuring the rather low insertion loss. It shows that the presented mechanism has positive significance for the design of terahertz band functional devices.