bluuebunny/crossref_metadata_2025_split huggingface dataset:
International cooperation could help avert a major food crisis due to the Russian invasion of Ukraine
Authors: Kuhla Kilian , Puma Michael , Schewe Jacob , Kubiczek Patryk , Otto Christian 
Published: July 2022

Abstract
The Russian invasion of Ukraine is a major threat to the global food system. We explore multiple scenarios for global annual wheat prices and country supplies, finding that prices could spike by up to 65%, exceeding the price spikes of the two recent world food price crises in 2007/08 and 2010/11 if the war escalates any further and national policy makers react uncoordinatedly and unilaterally. International cooperation and leadership are urgently needed to help coordinate an effective international response.
The Correction Factor of Monterey No.0/30 sample with fines content Liquefaction Resistance between Cyclic Triaxial and Cyclic Hollow Cylinder Tests
Authors: Liu Jungang , Chen Geng 
Published: July 2022

Abstract
Soil liquefaction is one of the most detrimental forms of earthquake-induced ground failure that can result in catastrophic damage to engineering structures. For the seismic safety evaluation of foundations and high-rise structures, it is the most critical way to assess liquefaction resistance. In this paper, an array number of isotropically consolidated undrained cyclic triaxial tests (CTT) and cyclic hollow cylinder tests (CHCT) have been performed to evaluate soil liquefaction resistance. Thirty-seven isotopically consolidated undrained cyclic triaxial tests and thirty-seven cyclic hollow cylinder tests were run on the uniform medium Monterey No. 0/30 sand and it is with four different percentages of fine content. By using cyclic triaxial and cyclic hollow cylinder tests for evaluating liquefaction resistance, it helps us better understand the relationship between two types of tests on uniform clean Monterey No.0/30 sand and soil sample with five different percentages of fines content. Four different relative densities of 30%,45%,50%, and 60%, two confining pressure of 103kpa and 207kpa, five cyclic stress ratios (0.15,0.2,0.25,0.3 and 0.4) have been used for a series of cyclic triaxial tests and cyclic hollow cylinder tests. At the same relative densities of 30 percent and 60 percent, the correction factor between CTT and CHCT evaluated range from 0.46 to 0.63 on the uniform clean Monterey No.0/30 sand. Statistical analyses were performed to formulate functional relationships for predicting the correction factor of soil liquefaction resistance between CTT and CHCT tests.
Neuronal progenitors of the dentate gyrus express the SARS-CoV-2 cell receptor during migration in the developing human hippocampus
Authors: Hernandez-Lopez Jose Manuel , Hernandez-Medina Cristina , Medina-Corvalan Cristina , Rodenas Monica , Almagro Francisca , Carratala Francisco , Geijo-Barrientos Emilio , Martinez Salvador 
Published: July 2022

Abstract
The COVID-19 pandemic spread around the world due to the enormous capacity of the SARS-CoV-2 coronavirus to be transmitted among humans, causing a threat to global public health. It has been shown that the entry of this virus into cells is highly facilitated by the presence of angiotensin-converting enzyme 2 (ACE2) in the cell membrane. Currently, we have no precise knowledge of how this receptor expresses in the brain of human embryos and, as a consequence, we do not know how susceptible the neural cells in the developing brain are to being infected through the vertical transmission of this virus, from mother to fetus. In this work we describe the expression of ACE2 in the human brain at 20 weeks of gestation. This stage corresponds to the period of neuronal generation, migration and differentiation in the cerebral cortex. We describe the specific expression of ACE2 in neuronal precursors and migratory neuroblasts of the dentate gyrus in the hippocampus. This finding implies that SARS-CoV-2 infection during the fetal period may affect neuronal progenitor cells and alter the normal development of the brain region where memory engrams are generated. Thus, although vertical transmission of SARS-CoV-2 infection was reported in few cases, the massive infection rate of young people in terms of the new variants leads to the possibility of increasing the ratio of congenital infections and originating cognitive alterations, as well as neuronal circuit anomalies that may represent vulnerability to mental problems throughout life.
Multimodal deep learning for COVID-19 prognosis prediction in the emergency department: a bi-centric study.
Authors: Dipaola Franca , Gatti Mauro , Levra Alessandro Giaj , Menè Roberto , Shiffer Dana , Faccincani Roberto , Raouf Zainab , Secchi Antonio , Querini Patrizia Rovere , Voza Antonio , Badalamenti Salvatore , Solbiati Monica , Costantino Giorgio , Savevski Victor , Furlan Raffaello 
Published: July 2022

Abstract
Clinical deterioration of COVID-19 patients is still a challenging event to predict in the emergency department (ED). The present study developed an artificial neural network using textual and tabular data from ED electronic medical reports. Predicted outcomes were 30-day mortality and ICU admission. Consecutive patients between February 20 and May 5, 2020, from Humanitas Research Hospital and San Raffaele Hospital, in the Milan area, were included. COVID-19 patients were 1296. Textual predictors were patient history, physical exam, and radiological reports. Tabular predictors were age, creatinine, C-reactive protein, hemoglobin, and platelet count. Tabular-textual model performance indices were compared to a model implementing only tabular data. For 30-day mortality, the combined model yielded slightly better performances than the tabular model, with AUC 0.84 ± 0.02, F-1 score 0.56 ± 0.04 and an MCC 0.44 ± 0.04. Tabular model performance was: AUC 0.84 ± 0.02, F-1 score 0.55 ± 0.03 and MCC 0.43 ± 0.04. As for ICU admission, the combined model was not superior to the tabular one. The present data points to the effectiveness of a textual and tabular model for COVID-19 prognosis prediction. Also, it may support the ED physician in their decision-making process.
Diagnosis and treatment of 2 cases of sleep disorder in military flight personnel and the aeromedical identification
Authors: Sun Nannan , Liu Hongjin 
Published: July 2022

Abstract
Objective To explore the diagnosis, treatment and aviation medical identification of sleep disorders in flight personnel. Methods All methods are performed in accordance with the relevant guidelines. The diagnosis, treatment and aviation medical identification of 2 cases of flight personnel with sleep disorders were retrospectively analyzed and the related literatures were reviewed.Results An air mechanic (case 1) expressed abnormal behavior during sleep. The video electroencephalogram monitoring showed episodic abnormal behavior that was manifested involuntary movement of limbs (obviously on the right side) and flapping action in his first admission examination. Synchronous electroencephalogram showed a large number of electromyography motion artifacts throughout the whole course, and a few scattered suspicious spiky waves were observed in the right temporal region during the interictal period. Polysomnography (PSG) indicated abnormal sleep behavior, confusional arousals. No more obvious abnormality was found by PSG and video electroencephalogram when the reexaminations conducted. Case 2 was a bomber pilot with lower extremities discomfort, difficulty in falling asleep and easy to wake up at night. Restless legs syndrome was diagnosed according to the patient′s symptoms, PSG, braking test, response to treatment and exclusion of other possible causes of the symptoms. The symptoms disappeared by treatment. Both cases were qualified for flight. Conclusion Abnormal sleep of flight personnel is rarely reported. The relevant personnel, such as aviation doctors should raise awareness of abnormal sleep among flight personnel. According to the clinical symptoms and related examinations of the pilots, diagnosis and treatment should be made as soon as possible, and individualized diagnosis, treatment and identification should be carried out according to their responsibilities and curative effects.
A New Denitrification Pathway in Oxygen-Rich Aquatic Environments through Long-Distance Electron Transfer
Authors: Elimelech Menachem , Wei Ming-Zhi , Yang Qin-Zheng , Xue An , Winter Lea , Zhao Huazhang 
Published: July 2022

Abstract
The lack of electron donors in oxygen-rich aquatic environments limits the ability of natural denitrification to remove excess nitrate, leading to eutrophication of aquatic ecosystems. Herein, we demonstrate that electron rich substances in river or lake sediments could participate in long-distance electron rebalancing to reduce nitrate in overlying water. A microstructure containing Dechloromonas and consisting of an inner layer of green rust and an outer layer of lepidocrocite forms in the sediment-water system through synergetic evolution and self-assembly. The microstructure enables long-distance electron transfer from the sediment to dilute nitrate in the overlying water. Specifically, the inner green rust adsorbs nitrate and reduces the kinetic barrier for denitrification via an Fe(II)/Fe(III) redox mediator. Our study reveals the mechanism of spontaneous electron transfer between distant and dilute electron donors and acceptors to achieve denitrification in electron-deficient aquatic systems.
Thermoelectric coupling deep drawing process of ZK60 magnesium alloys
Authors: Zhan Le , Li Ruixing , Wang Junzhi , Xue Xin , Wang Yiming , Lv Zhiqing 
Published: July 2022

Abstract
In this work, thermal deep drawing and thermoelectric coupling drawing tests were performed on an annealed ZK60 magnesium alloy sheet to investigate the effect of the pulse current on the formability of the ZK60 magnesium alloy during the drawing process. The effects of thermal deep drawing and the thermoelectric coupling on the forming of drawn parts were studied, and the change laws of the thinning rate and hardness were obtained. The results showed that the use of pulse current improved the formability of the ZK60 magnesium alloy and increased the ultimate depth of drawing. The hardness value of the drawn part showed an overall increasing trend, followed by thermoelectric coupling deep drawing, which was significantly higher than the sheet after annealing without deep drawing. The deep-drawn parts had varied grain sizes in different places, and dynamic recrystallization occurred to varying degrees in each region. Furthermore, the degree of dynamic recrystallization in the punch fillet and cylinder wall was significantly higher than in other areas.
The Applicability of Species Sensitivity Distributions to the Development of Generic Doses for Phytosanitary Irradiation
Authors: Penca Cory , Beam Andrea L. , Bailey Woodward D. 
Published: July 2022

Abstract
Phytosanitary irradiation is used as a commodity treatment to prevent the introduction of pests through trade. Generic doses are a valuable means to increase the number of pest-commodity combinations that can be treated using phytosanitary irradiation. Generic doses allow for the treatment of the entire taxa for which the dose has been improved, allowing for the treatment of untested species. As such, the approval of a generic dose requires substantial supporting data and careful consideration of the risks involved. We adopt the Species Sensitivity Distribution (SSD) framework, already in widespread use in the field of ecotoxicology and environmental risk assessment, to evaluate generic doses for phytosanitary irradiation treatments. Parametric SSDs for Curculionidae and Tephritidae were developed using existing data on efficacious phytosanitary irradiation treatments. The resulting SSDs provided estimates of the taxa coverage expected by the generic dose, along with the margin of uncertainty. The SSD analysis lends support to the existing 150 gray generic dose for Tephritidae and a proposed 175 gray generic dose for Curculionidae. The quantitative estimates of risk produced by the SSD approach can be a valuable tool for phytosanitary rule making, improving the process for generic dose development and approval.
Association evaluation of 5-HTR2A manifested salient contribution of rs6311 and rs6313 in increasing the occurrence of schizophrenia
Authors: Massoud Sareh , Salmanian Maryam , Tabibian Mobina , Ghamari Rana , Tavabe-Ghavami Toktam-Sadat , Alizadeh Fatemeh 
Published: July 2022

Abstract
Objective: Schizophrenia is an acute mental disorder with undefined etiology. The high heritability of the disease hints that several genetic variants and polymorphisms contribute to schizophrenia symptoms and severity. Former molecular evidence shed a light on the association of serotonergic pathway genetic polymorphisms with schizophrenia. Here, we investigated the association between schizophrenia and two SNPs from one haplotype block, which lies within 5-hydroxytryptamine receptor 2A(5-HTR2A) in the Iranian population. Material and methods: Blood samples were collected from one-hundred and fifty-two patients diagnosed with schizophrenia and one-hundred and fifty-eight age and sex matched healthy control. Participants were genotyped for rs6311 and rs6313 using PCR-RFLP. R programming language and Haploview software respectively were leveraged for statistical and haplotype inference. Results: The results signified that there was no significant association between rs6313 and schizophrenia. However, rs6311 T allele independently and in a rs6311-rs6313 haplotype significantly associated with schizophrenia. Also, the general linear model confirmed the potential predictor role of rs6311 for schizophrenia. Moreover, the C allele of rs6313 demonstrated more frequency among females compared to males. Conclusion: This study elucidated the association of rs6311 and rs6311-rs6313 haplotype with schizophrenia in the Iranian population and also suggested a potential schizophrenia risk predictor role for rs6311.
Transcriptome profile of skeletal muscle using different sources of dietary fatty acids in male pigs
Authors: Fanalli Simara Larissa , Silva Bruna Pereira Martins , Gomes Julia Dezen , Almeida Vivian Vezzoni , Moreira Gabriel Costa Monteiro , Silva-Vignato Bárbara , Afonso Juliana , Freitas Felipe André Oliveira , Reecy James M. , Koltes James E. , Koltes Dawn , Garrick Dorian , Regitano Luciana Correia Almeida , Balieiro Júlio César Carvalho , Mourão Gerson Barreto , Coutinho Luiz Lehmann , Fukumasu Heidge , Poleti Mirele Daiana , Alencar Severino Matias , Filho Albino Luchiari , Cesar Aline Silva Mello 
Published: July 2022

Abstract
BackgroundPork is of great importance in world trade and represents the largest source of fatty acids in the human diet. Lipid sources such as soybean oil (SOY), canola (CO), and fish oil (FO) are used in pig diets and influence blood parameters and the ratio of deposited fatty acids. Scientific studies that improve our nutrigenomic knowledge about pig and human health through the consumption of pork are of great importance. In this study, the main objective was to evaluate changes in gene expression in porcine skeletal muscle tissue resulting from the dietary oil sources and to identify metabolic pathways and biological process networks through RNA-Seq.ResultsThe addition of FO in the diet of pigs led to intramuscular lipid with a higher FA profile composition of C20:5 n-3, C22:6 n-3, and SFA (C16:0 and C18:0). Blood parameters for the FO group showed lower cholesterol and HDL content compared with CO and SOY groups. Skeletal muscle transcriptome analyses revealed 65 differentially expressed genes (DEG, FDR 10%) between CO vs SOY, and 531 DEG for SOY vs FO comparison, and 32 DEG for CO vs FO. The enrichment analysis of the DEG lists revealed lipid metabolism, metabolic diseases, and inflammation processes networks, such as "regulation of lipid metabolism: RXR-dependent regulation of lipid metabolism via PPAR, RAR and VDR", “transport HDL-mediated reverse cholesterol transport”, and "TNF- α , IL-1 β induce dyslipidemia and inflammation in obesity and type 2 diabetes in adipocytes". ConclusionThe genes identified in this study provided relevant information on biological processes and lipid metabolism pathways. The enrichment of the basal diet with oil containing different FA profiles influenced fatty acid composition of intramuscular fat, blood parameters, and the gene differential expression in metabolic pathways and processes network in skeletal muscle of pigs. The results provide mechanisms to help us understand the behavior of genes according to fatty acids.
Beyond a ‘perfect fit’: the interplay between morphology and spatiotemporal overlap as determinants of microstructure in a bat-flower network
Authors: Diniz Ugo Mendes , Aguiar Ludmilla Moura de Souza 
Published: July 2022

Abstract
Plant-pollinator interactions in diverse tropical communities are often predicted by a combination of ecological variables, yet the interaction drivers between flower-visiting bats and plants at the community level are poorly understood. We assembled a network between Neotropical bats and flowering plants to describe its macrostructure and to test the role of neutral and niche variables in predicting microstructure. We found a moderately generalized network with internally nested modules comprising functionally similar species. Modules grouped bats and plants with matching degrees of specialization but had considerable overlap in species morphologies and several inter-module interactions. Both morphological specialization and spatiotemporal overlap, not abundance, were the best predictors of microstructure, with functional groups of bats also interacting more frequently with plants in certain vegetation types (e.g., frugivores within forests) and seasons (e.g., long-snouted nectarivores in the dry season). Therefore, flower-visiting bats appear to have species-specific niche spaces delimited not only by their ability to exploit certain flower types but also by preferred foraging habitats and the timing of resource availability. The prominent role of spatial and temporal synchrony likely reflects the heterogeneity of Neotropical savannas, and further research in biomes beyond the Cerrado is needed to better understand the complexity of this system.
Optimization of an SSHC-Based Full Active Rectifier for Piezoelectric Energy Harvesting
Authors: Wassouf Liana , Jamshidpour Ehsan , Frick Vincent 
Published: July 2022

Abstract
This paper presents a compact and efficient integrated interface circuit for piezo-electric energy harvesting. While the state-of-the-art interface circuits require the use of either an external inductor or a significant number of additional capacitors to achieve high voltage flip and improve power efficiency, the proposed Full Active Rectifier on Flipping Capac-itor (FAR-FC) is based on a reduced set of flipping capacitors and an active rectifier to efficiently flip the voltage across the piezoelec-tric transducer. In addition, this optimized SSHC circuit reaches better power efficiency when the piezoelectric transducer is operating under low mechanical excitation, i.e. when the open-circuit voltage of the piezoelectric transducer is V oc = 1V , while this value is usually V oc ≥ 2V in literature. Furthermore, the FAR-FC supports piezo-electric transducers with higher inherent capacitance values compared to those usually reported in literature, which makes the circuit potentially suitable for a larger variety of MEMS applications. The interface circuit was designed and fabricated in a 0.35-µm CMOS process. Measurement results show that the voltage flip efficiency goes up to 90%. It also reveals that the proposed FAR-FC circuit achieves power performance up to 5.64× higher than a conventional full-bridge rectifier.
Fear of COVID-19, psychological distress, general health and quality of life among baccalaureate nursing students at one year into the COVID-19 pandemic: a mixed method study
Authors: Rohde Gudrun , Johannessen Berit , Maaseide Markus , Flateland Sylvi , Skisland Anne Valen , Moi Ellen Benestad , Haraldstad Kristin 
Published: July 2022

Abstract
Background: The COVID-19 pandemic led to major changes in people’s lives via protective strategies aimed at limiting the transmission of COVID-19, including social distancing, lockdowns, cancelled or limited leisure activities and tutorials and supervision for students taking place digital. All of these changes may have influenced students’ health and quality of life (QOL).Aim: To describe and explore fear of COVID-19 and psychological distress, as well as general health and QOL, among baccalaureate nursing students at 1 year into the COVID-19 pandemic.Method: We used a mixed method study design, including quantitative data from one university in southern Norway that was a part of a national survey of baccalaureate nursing students and qualitative data from focus group interviews from the same university. The quantitative data were collected using well-validated measures of fear of COVID-19, psychological distress, general health and QOL, and the data were analysed using the ANOVA-tests for continuous data and chi-square tests for categorical data. The qualitative data were analysed using systematic text condensation.Results: The quantitative survey included 396 baccalaureate nursing students (response rate: 46%). The mean score (standard deviation [SD]) for fear of COVID-19 was 2.32 (0.71), for psychological distress was 1.53 (1.00), for general health was 3.51 (0.96) and for overall QOL was 6.01 (2.06).Five focus group interviews were conducted with a total of 23 students (7 men, 16 women). In the qualitative data, we identified the overarching theme effect of COVID-19 on students’ QOL and the three main themes; importance of personal relations, physical health challenges and mental health challenges.Conclusion: The COVID-19 pandemic influenced negatively nursing students’ QOL and physical and mental health, and they often felt lonely. However, most of the participants also adapted strategies and resilience factors to cope with the situation. Via the pandemic situation, the students learned additional skills and mental mindsets that may be useful in their future professional lives.
Classical and Bayesian Inference of Unit Gompertz Distribution Based on Progressively Type II Censored Data
Authors: Dey Sanku , Al-Mosawi Riyadh Rustam 
Published: July 2022

Abstract
In this article, we study estimation methodologies for parameters of an unit Gompertz distribution based on two frequentist methods and Bayesian method using progressively Type II censored data. In frequentist approach, besides conventional maximum likelihood estimation, maximum product of spacing method is proposed for parameter estimation as an alternative approach to common maximum likelihood method. In order to obtain maximum likelihood estimates, we use both Newton-Raphson and stochastic expectation minimization algorithms, while for obtaining Bayes estimates for unknown parameters of the model, we have considered both traditional likelihood function as well as product of spacing function. Moreover, the approximate confidence intervals of the parameters are obtained under two the frequentist approaches and highest posterior density credible intervals of the parameters are obtained under Bayesian approaches using MCMC approach. In addition, percentile bootstrap technique is utilized to compute confidence intervals. Numerical comparisons are presented of the proposed estimators with respect to various criteria quantities using Monte Carlo simulations. Further, using different optimality criteria, an optimal censoring scheme has been suggested. Besides, one-sample and two-sample prediction problems based on observed sample and appropriate predictive intervals under Bayesian framework are discussed. Finally, to demonstrate the proposed methodology in a real-life scenario, maximum flood level data is considered to show the applicability of the proposed methods.