bluuebunny/crossref_metadata_2025_split huggingface dataset:
Red and White Meat Intake in Relation to Mental Disorders in Iranian Adults
Authors: Kazemi Shiva , Keshteli Ammar Hassanzadeh , Saneei Parvane , Afshar Hamid , Esmaillzadeh Ahmad , Adibi Peyman 
Published: July 2021

Background: The association between meat consumption and mental disorders is less investigated in Iranian population. We examined the association between meat consumption and prevalence of symptoms of depression, anxiety, and psychological distress in Iranian adults.Methods: This cross-sectional study included 3,362 participants aged 18–55 years old. A dish-based 106-item semiquantitative food frequency questionnaire (FFQ) was used to assess usual dietary intake of study population. Hospital Anxiety and Depression Scale (HADS) and General Health Questionnaire (GHQ), all validated in Iranian population, were applied to collect data on symptoms of anxiety, depression, and psychological distress, respectively.Results: The prevalence of symptoms of depression, anxiety, and psychological distress in the study population was 28.6, 13.6, and 22.6%, respectively. After considering potential confounders, individuals in the top quartile of red meat intake had 43% increased risk of depression symptoms [odds ratio (OR) = 1.43; 95% CI: 1.09–1.89] compared to those in the first quartile. No significant relation was observed between red meat intake and anxiety or psychological distress symptoms. White meat consumption was not associated with mental disorders. Stratified analysis by sex showed that male participants in the highest quartile of red meat intake had 92% greater risk of depression symptoms (95% CI: 1.17–3.15) than those individuals in the lowest category. Red and white meat intake was not associated with mental disorders in women. In overweight or obese individuals, despite lack of any association between red meat intake and mental disorders, high intake of white meat was associated with a lower odds of psychological distress symptoms (OR = 0.64; 95% CI: 0.42–0.99) and a lower risk of depression symptoms (OR = 0.68; 95% CI: 0.45–1.00). In normal-weight participants, those in the highest quartile of red meat intake had greater odds for depression symptoms than those in the lowest quartile (OR = 1.66; 95% CI: 1.14–2.42).Conclusions: We found that red meat consumption was associated with increased risk of depression symptoms, especially in men, and normal-weight participants. In overweight or obese participants, white meat intake was inversely associated with psychological distress symptoms.
Evaluation of Oncogene NUP37 as a Potential Novel Biomarker in Breast Cancer
Authors: Li Kangdi , Liu Ting 
Published: July 2021

PurposeThere is an urgent need to identify oncogenes that may be beneficial to diagnose and develop target therapy for breast cancer.MethodsBased on the GEO database, DECenter was used to screen the differentially overexpressed genes in breast cancer samples. Search Tool for the Retrieval of Interacting Genes and Cytoscape were performed to construct the PPI network to predict the hub gene. Functional and pathway enrichment were performed based on GO analysis. GEO2R, Oncomine, human tissue microarray staining, and western blot were applied to confirm the expression of NUP37. The association between NUP37 expression and prognosis in patients with breast cancer were assessed using the Kaplan–Meier plotter online tool and OncoLnc. siRNAs were used to knock down NUP37 and evaluate proliferation, migration, and stemness in breast cancer cells.ResultsWe found that 138 genes were differentially upregulated in breast cancer samples, mainly comprising components of the nucleus and involved in the cell cycle process. NUP37 was identified as a hub gene that is upregulated in breast cancer patients related to a significantly worse survival rate. Furthermore, we confirmed that the downregulation of NUP37 in breast cancer cells results in the inhibition of cell growth, migration, and stemness.ConclusionsHigh expression of NUP37 in breast cancer patients is associated with a poorer prognosis and promotion of cell growth, migration, and stemness. The multiple bioinformatics and experimental analysis help provide a comprehensive understanding of the roles of NUP37 as a potential marker for diagnosis and prognosis and as a novel therapeutic target in breast cancer.
Mucin-1 Protein Is a Prognostic Marker for Pancreatic Ductal Adenocarcinoma: Results From the CONKO-001 Study
Authors: Striefler Jana Käthe , Riess Hanno , Lohneis Philipp , Bischoff Sven , Kurreck Annika , Modest Dominik Paul , Bahra Marcus , Oettle Helmut , Sinn Marianne , Bläker Henrik , Denkert Carsten , Stintzing Sebastian , Sinn Bruno Valentin , Pelzer Uwe 
Published: July 2021

BackgroundThe Mucin-family protein, MUC1, impacts on carcinogenesis and tumor invasion. We evaluated the impact of MUC1 expression on outcome in a cohort of 158 patients with resected pancreatic ductal adenocarcinomas (PDAC) in the CONKO-001 study (adjuvant gemcitabine [gem] vs. observation [obs]).MethodsThe percentage of MUC1-positive tumor cells by immunohistochemistry (IHC) and the staining intensity were evaluated by two observers blinded to outcome. The numeric values of both parameters were multiplied, resulting in an immunoreactivity score (IRS) ranging from 0 to 12. The level of MUC1 expression was defined as follows: IRS 0–4 (low) vs IRS &gt;4 (high). Outcomes in terms of disease-free (DFS) and overall survival (OS) were evaluated by Kaplan–Meier method, log-rank tests and Cox regressions.ResultsIn total, tumors of 158 study patients were eligible for immunohistochemistry of MUC1. High cytoplasmic MUC1 expression was associated with impaired DFS and OS in the overall study population (hazard ratio (HR) for DFS: 0.49, 95% CI 0.31 to 0.78, p = .003; HR for OS: 0.46, 95% CI 0.29 to 0.73, p = .001). In the study arms, prognostic effects of MUC1 were also evident in the observation group (HR for DFS: 0.55; 95% CI 0.29 to 1.04, p = .062; HR for OS: 0.34, 95% CI 0.17 to 0.67, p = .001) and trending in the gem group (HR for DFS: 0.48, 95% CI 0.24 to 0.95, p = .041; HR for OS: 0.56, 95% CI 0.28 to1.11, p = .093).ConclusionOur data suggest that MUC1 expression is a powerful prognostic marker in patients with PDAC after curatively intended resection.
Study Designs to Assess Real-World Interventions to Prevent COVID-19
Authors: Digitale Jean C. , Stojanovski Kristefer , McCulloch Charles E. , Handley Margaret A. 
Published: July 2021

Background: In the face of the novel virus SARS-CoV-2, scientists and the public are eager for evidence about what measures are effective at slowing its spread and preventing morbidity and mortality. Other than mathematical modeling, studies thus far evaluating public health and behavioral interventions at scale have largely been observational and ecologic, focusing on aggregate summaries. Conclusions from these studies are susceptible to bias from threats to validity such as unmeasured confounding, concurrent policy changes, and trends over time. We offer recommendations on how to strengthen frequently applied study designs which have been used to understand the impact of interventions to reduce the spread of COVID-19, and suggest implementation-focused, pragmatic designs that, moving forward, could be used to build a robust evidence base for public health practice.Methods: We conducted a literature search of studies that evaluated the effectiveness of non-pharmaceutical interventions and policies to reduce spread, morbidity, and mortality of COVID-19. Our targeted review of the literature aimed to explore strengths and weaknesses of implemented studies, provide recommendations for improvement, and explore alternative real-world study design methods to enhance evidence-based decision-making.Results:Study designs such as pre/post, interrupted time series, and difference-in-differences have been used to evaluate policy effects at the state or country level of a range of interventions, such as shelter-in-place, face mask mandates, and school closures. Key challenges with these designs include the difficulty of disentangling the effects of contemporaneous changes in policy and correctly modeling infectious disease dynamics. Pragmatic study designs such as the SMART (Sequential, Multiple-Assignment Randomized Trial), stepped wedge, and preference designs could be used to evaluate community re-openings such as schools, and other policy changes.Conclusions: As the epidemic progresses, we need to move from post-hoc analyses of available data (appropriate for the beginning of the pandemic) to proactive evaluation to ensure the most rigorous approaches possible to evaluate the impact of COVID-19 prevention interventions. Pragmatic study designs, while requiring initial planning and community buy-in, could offer more robust evidence on what is effective and for whom to combat the global pandemic we face and future policy decisions.
The Endophytic Pseudomonas sp. S57 for Plant-Growth Promotion and the Biocontrol of Phytopathogenic Fungi and Nematodes
Authors: Muñoz Torres Patricio , Cárdenas Steffany , Arismendi Macuer Mabel , Huanacuni Nelly , Huanca-Mamani Wilson , Cifuentes Denise , Sepúlveda Chavera Germán F. 
Published: July 2021

Oregano from Socoroma (Atacama Desert) is characterized by its unique organoleptic properties and distinctive flavor and it is produced using ancestral pesticide-free agricultural practices performed by the Aymara communities. The cultivation in this zone is carried out under extreme conditions where the standard production of different crops is limited by several environmental factors, including aridity, high concentration of salts, and boron among others. However, oregano plants are associated with microorganisms that mitigate biotic and abiotic stresses present in this site. In this work, the S57 strain (member of the Pseudomonas genus that is closely related to Pseudomonas lini) was isolated from roots of oregano plants, which are grown in soils with high content of non-sodium salts and aluminum. This bacterium stimulates the growth of Micro-Tom tomato plants irrigated with saline-boric water. Moreover, it controls the growth of phytopathogenic fungi Fusarium oxysporum and Botrytis cinerea and the nematode Meloidogyne incognita under saline-boric conditions. Together with the high levels of bacterial biomass (~47 g/L), these results allow the establishment of the bases for developing a potential new agricultural bioproduct useful for arid and semiarid environments where commercial biological products show erratic behavior.
A correção de textos escolares como prática e como objeto de pesquisa: entrevista com Eliana Donaio Ruiz
Authors: Bazarim Milene , Caiado Roberta Varginha Ramos 
Published: July 2021

Eliana Donaio Ruiz é autora do livro “Como corrigir redações na escola: Uma Proposta Textual-Interativa”, cuja primeira edição foi publicada em 2001. Trata-se de um livro pioneiro no Brasil a respeito da correção de textos escolares e uma referência praticamente obrigatória tanto para pesquisadores que contemplam a correção enquanto objeto de estudo quanto para professores interessados em compreender e aperfeiçoar a sua prática corretiva.A autora possui Pós-doutorado em Linguística Aplicada, Doutorado e Mestrado em Linguística pela Universidade Estadual de Campinas - UNICAMP (SP). Ruiz já foi professora de Língua Portuguesa na Educação Básica e, durante quase duas décadas, também prestou assessoria e consultoria em elaboração de textos e ensino de línguas.Atualmente, é professora adjunta do Departamento de Letras Vernáculas e Clássicas da Universidade Estadual de Londrina - UEL (PR), atuando na Licenciatura em Letras e no Programa de Pós-Graduação em Estudos da Linguagem (PPGEL). Eliana Ruiz tem se dedicado ao estudo do processo de ensino-aprendizagem e de formação de professores de Língua Portuguesa. Mais recentemente, suas pesquisas concentram-se na área da Linguística Aplicada e seus interesses atuais estão ligados ao ensino de português como língua materna, ao ensino-aprendizagem da escrita e às relações entre tecnologias digitais e educação linguística.A entrevista foi realizada em março de 2021 via e-mail.
Multi-UAV Navigation for Partially Observable Communication Coverage by Graph Reinforcement Learning
Authors: Ye Zhenhui , Wang Ke , Chen Yining , Jiang Xiaohong , Song Guanghua 
Published: July 2021

<p>In this paper, we aim to design a deep reinforcement learning (DRL) based control solution to navigating a swarm of unmanned aerial vehicles (UAVs) to fly around an unexplored target area under partial observation, which serves as Mobile Base Stations (MBSs) providing optimal communication coverage for the ground mobile users. To handle the information loss caused by the partial observability, we introduce a novel network architecture named Deep Recurrent Graph Network (DRGN), which could obtain extra spatial information through graph-convolution based inter-UAV communication, and utilize historical features with a recurrent unit. Based on DRGN and maximum-entropy learning, we propose a stochastic DRL policy named Soft Deep Recurrent Graph Network (SDRGN). In SDRGN, a heuristic reward function is elaborated, which is based on the local information of each UAV instead of the global information; thus, SDRGN reduces the training cost and enables distributed online learning. We conducted extensive experiments to design the structure of DRGN and examine the performance of SDRGN. The simulation results show that the proposed model outperforms four state-of-the-art DRL-based approaches and three heuristic baselines, and demonstrate the scalability, transferability, robustness, and interpretability of SDRGN. We release our code at <a href="https://github.com/yerfor/Soft-DRGN" target="_blank">https://github.com/yerfor/Soft-DRGN</a> </p>
Accessibilità post-pandemia: riflessioni sullo spazio pubblico
Authors: Gallitano Giancarlo , Leone Manfredi , Lotta Francesca 
Published: July 2021

The correlation between the psycho-physical well-being of citizens and the provision of green areas has been one of the cornerstones of urban planning since its inception, as its constant commitment to adapt cities and territories to emerging challenges. The spread of SARS-Cov-2 has changed the relationship between citizens and urban space. The public space, has been limited and banned, confining citizens within their private space and the psycho-physical well-being of citizens depended only on the quality of the domestic space.The pandemic represents a moment of reflection and research for the disciplines that deal with the quality of life of citizens. The pandemic crisis may be an opportunity to rethink the role and importance of the provision of public space, in particular urban green areas, their distribution and effective accessibility. The contribution aims to rethink urban models capable of responding to the challenges of the post-pandemic city
Jahrbuch Wirtschaftsrecht Schweiz – EU - Überblick und Kommentar 2020/21
Authors: Baumgartner Tobias , Berne André S. , Brunner Alexander , Denger Balthasar , Elsener Janick , Fischer Jana , Geiser Thomas , Heinrich Ulrike I. , Heiss Helmut , Höhener Isabel , Kratz Brigitta , Kuzmanovic Violeta , Mamane David , Mayer Michael , Rechsteiner Peter , Schreiber René , Siehr Kurt , Sulzer Stefan , Uebe Wesselina , Ziegler Andreas R. , Zilio Laura P. 
Published: July 2021

Der vorliegende 16. Band der Jahrbuchreihe „Wirtschaftsrecht Schweiz – EU“ dokumentiert die aktuellen Entwicklungen in zentralen Bereichen des EU-Wirtschaftsrechts. Berücksichtigt werden insbesondere die Gebiete Kapitalmarktrecht, Immaterialgüterrecht, Arbeitsrecht, Steuerrecht und Wettbewerbsrecht. Experten diskutieren jeweils die Relevanz für die Schweiz sowie die korrespondierenden Entwicklungen im schweizerischen Recht. Das Jahrbuch richtet sich vor allem an Unternehmens-, Wirtschafts- und Verwaltungsjuristen sowie an Richter und Rechtsanwälte und bietet ihnen einen kompakten Überblick über die wichtigsten Gesetzgebungsvorstösse, neue Rechtsakte und ergangene Urteile im vergangenen Jahr 2020.
PENGARUH BUDAYA ORGANISASI DAN BEBAN KERJA TERHADAP KINERJA PEGAWAI PADA BPKAD KOTA PADANG
Authors: Yandri Ayuazzahra , Aziz Nazaruddin 
Published: July 2021

Kinerja adalah hasil kerja secara kualitas ataupun kuantitas yang dicapai oleh seseorang ketika mengerjakan pekerjaan yang dibebankan untuknya sesuai terhadap standar atau kriteria yang sudah ditentukan. Kinerja menyatakan tingkat keberhasilan pegawai dalam melakukan tugas serta tanggung jawabnya. Penelitian ini dimaksudkan guna menguji pengaruh budaya organisasi serta beban kerja terhadap kinerja pegawai pada BPKAD Kota Padang. Merujuk pada teknik total sampling, jumlah responden yang dipakai untuk sampel penelitian yakni sebanyak 63 orang. Pengujian hipotesis memakai metode kuantitatif dengan memakai program SPSS 21. Hasil penelitian membuktikan jika budaya organisasi berpengaruh positif signifikan terhadap kinerja pegawai, beban kerja berpengaruh positif signifikan terhadap kinerja pegawai.
DETERMINATION OF THE MOST POLLUTED ATMOSPHERIC AIR POLLUTION CATEGORY OF ALMATY CITY
Authors: Sarsenova Zh , Saimassayeva Sh , Smaiyl A. 
Published: July 2021

This article discusses the impact of suspended particles on human health, by providing small definitions of PM2.5, including how they appear, what particles they consist of, and how they harm the respiratory and circulatory systems. In addition, the analysis of the pollution level of the city of Almaty for the last three years from March 22, 2017, to October 6, 2020, with categorical intermediate values of suspended particles was carried out. Careful work was done with the SCV file such as data was skipped in the cells, that is, there were empty values; translation to a single data type; filling in empty cells. It also considers making a decision on the six categories provided to identify the average meeting categories. The authors identified specific categories based on digital readings of values received from sensors, where each category has its own verbal values that are understandable for each person. The indicator displays with weights as a graph for a specific Seifullin-Dulatov sensor location with categorical and without categorical division. Then for each intersection or location of the sensors is shown in a table. It is also revealed which level or category is the rarest among the others and the most common category as well.
On the Impulsive Heating of Quiet Solar Corona
Authors: Upendran Vishal , Tripathi Durgesh 
Published: July 2021

AbstractThe solar corona consists of a million degree Kelvin plasma. A complete understanding of this phenomenon demands the study of quiet Sun (QS) regions. In this work, we study QS regions in the 171 Å, 193 Å, and 211 Å passbands of the Atmospheric Imaging Assembly (AIA) on board the Solar Dynamics Observatory, by combining the empirical impulsive heating forward model of Pauluhn & Solanki with a machine-learning inversion model that allows uncertainty quantification. We find that there are ≈2–3 impulsive events per minute, with a lifetime of about 10–20 minutes. Moreover, for all the three passbands, the distribution of power-law slopeαpeaks above 2. Our exploration of correlations among the frequency of impulsive events and their timescales and peak energy suggests that conduction losses dominate over radiative cooling losses. All these findings suggest that impulsive heating is a viable heating mechanism in QS corona.
Boundary Conditions at the Heliospheric Termination Shock with Pickup Ions
Authors: Gedalin Michael , Pogorelov Nikolai V. , Roytershteyn Vadim 
Published: July 2021

Abstract
In a collisionless shock the directed flow energy is converted mainly in thermal energy of the plasma species. At the termination shock (TS) a substantial portion of energy goes into heating of pickup ions (PUIs), while heating of the solar wind protons (SW) is weaker than it would be without PUI. Heating of both species is nonadiabatic. Downstream pressure of the mixture is determined by conservation laws for the whole mixture. SW heating is sensitive to the details of the shock front, while heating of PUI is not. The profile is an analytical approximation of the observed TS. Here the downstream temperature and pressure of PUIs are obtained for the first time using test particle analysis in a model shock profile for various magnetic compression ratios and shock angles. The profile is an analytical approximation of the observed TS. The results of the analysis are used in the pressure balance equation and the corresponding SW heating is estimated. The analysis is supported by full particle simulations, except for the SW heating that was not studied using test particle data due to its apparent dependence on fine structure of the shock front.
Multimessenger Detection Rates and Distributions of Binary Neutron Star Mergers and Their Cosmological Implications
Authors: Yu Jiming , Song Haoran , Ai Shunke , Gao He , Wang Fayin , Wang Yu , Lu Youjun , Fang Wenjuan , Zhao Wen 
Published: July 2021

Abstract
Gravitational wave (GW) events, produced by the coalescence of binary neutron stars (BNSs), can be treated as the standard sirens to probe the expansion history of the universe, if their redshifts can be determined from electromagnetic (EM) observations. For the high-redshift (z ≳ 0.1) events, the short γ-ray bursts (sGRBs) and the afterglows are always considered as the primary EM counterparts. In this paper, by investigating various models of sGRBs and afterglows, we discuss the rates and distributions of the multimessenger observations of BNS mergers using GW detectors in the second-generation (2G), 2.5G, and 3G era with detectable sGRBs and afterglows. For instance, for the Cosmic Explorer GW detector, the rate is about 300–3500 yr−1 with a GECAM-like detector for γ-ray emissions and an LSST/WFST detector for optical afterglows. In addition, we find that these events have redshifts z ≲ 2 and inclination angles ι ≲ 20°. These results justify the rough estimation in previous works. Considering these events as standard sirens to constrain the equation-of-state parameters of dark energy w
0 and w

a
, we obtain the potential constraints of Δw
0 ≃ 0.02–0.05 and Δw

a
≃ 0.1–0.4.
Infrared Surface Brightness Fluctuation Distances for MASSIVE and Type Ia Supernova Host Galaxies*
Authors: Jensen Joseph B. , Blakeslee John P. , Ma Chung-Pei , Milne Peter A. , Brown Peter J. , Cantiello Michele , Garnavich Peter M. , Greene Jenny E. , Lucey John R. , Phan Anh , Tully R. Brent , Wood Charlotte M. 
Published: July 2021

Abstract
We measured high-quality surface brightness fluctuation (SBF) distances for a sample of 63 massive early-type galaxies using the WFC3/IR camera on the Hubble Space Telescope. The median uncertainty on the SBF distance measurements is 0.085 mag, or 3.9% in distance. Achieving this precision at distances of 50–100 Mpc required significant improvements to the SBF calibration and data analysis procedures for WFC3/IR data. Forty-two of the galaxies are from the MASSIVE Galaxy Survey, a complete sample of massive galaxies within ∼100 Mpc; the SBF distances for these will be used to improve the estimates of the stellar and central supermassive black hole masses in these galaxies. Twenty-four of the galaxies are Type Ia supernova hosts, useful for calibrating SN Ia distances for early-type galaxies and exploring possible systematic trends in the peak luminosities. Our results demonstrate that the SBF method is a powerful and versatile technique for measuring distances to galaxies with evolved stellar populations out to 100 Mpc and constraining the local value of the Hubble constant.