bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of Frozen Plasma-Activated Water to Sanitize and Precool Fresh Produce during Postharvest Handling Process
Authors: Arda Gede , Hsu Chuan-Liang 
Published: December 2022

Abstract
Converting plasma-activated water (PAW) to frozen PAW (FPAW) imparts additional advantages since it can simultaneously conduct washing, precooling, and decontaminating when incorporated with water. This study investigates the efficacy of FPAW undergoes pH manipulation on decontaminating E. coli and S. aureus inoculated on okra and strawberries surfaces. The effects of dilution factor (3X and 5X dilution), type of PAW (fresh and FPAW), and immersion time (0, 10, 15, and 20 min) on PAW efficacy in combination with the surface properties of okra and strawberries are investigated. Although the reduction achieved by this study was generally lower than the treatment applied to planktonic E. coli and S. aureus, the efficacy of FPAW was not entirely eliminated by the dilution and the surface roughness of the treated product. The reduction of E. coli and S. aureus can be achieved to 2.5 log CFU/g and 1.0 log CFU/g, indicate that pH-manipulated-FPAW has the potential to be applied in the postharvest treatment of fresh produce. In addition, the combination of all treatment factors did not significantly affect the physical quality of the product; in fact, the precooling effects of frozen PAW prevent the chilling injury on okra stored at 4.5 ± 0.5°C for 10 days. Industrial Relevance Conducting precooling with frozen PAW successfully diminishes the problem of chilling injuries and pathogenic bacteria contamination on fresh produce. Converting PAW into the frozen shape and accompanied by pH manipulation overcome the delays issues of the loss of PAW reactivity. The FPAW can be stored longer before it is applied in the precooling and decontamination steps during postharvest treatment. This study shows that FPAW is a potential postharvest treatment agent for fresh produce, and it does not affect the physical quality of the treated fresh produce significantly.
Zinc oxide nanoparticles significant role in poultry and novel toxicological mechanisms
Authors: Fatima Arjmand , Zaheer Tean , Pal Kaushik , Abbas Rao Zahid , Akhtar Tayyaba , Ali Sultan , Mahmood Muhammad Shahid 
Published: December 2022

Abstract
Zinc oxide nanoparticles (ZnO NPs) have involved a lot of consideration owing to their distinctive features. ZnO NPs can be described as particularly synthesized mineral salts via nanotechnology, varying in size from 1 to 100 nm, while zinc oxide (ZnO), it is an inorganic substrate of zinc (Zn). Zn is a critical trace element necessary for various biological and physiological processes in the body. Studies have revealed ZnO NPs’ efficient immuno-modulatory, growth-promoting, and antimicrobial properties in poultry birds. They offer increased bioavailability as compared to their traditional sources, producing better results in terms of productivity and welfare and consequently reducing ecological harm in the poultry sector. However, they have also been reported for their toxicological effects, which are size, shape, concentration, and exposure route dependent. The investigations done so far have yielded inconsistent results, therefore, a lot of additional studies and research are required to clarify the harmful consequences of ZnO NPs and to bring them to a logical end. This review gives an overview of the possible role of ZnO Nano particles in the poultry industry, primarily as dietary supplements that effect on the growth, health, and performance of the birds. In addition to the anti-bacterial mechanisms of ZnO NPs and their promising role as anti-fungal, and anti-colloidal agent, this paper also covers the toxicological mechanisms of ZnO NPs and their consequent toxicological hazards to vital organs and the reproductive system of poultry birds.
WITHDRAWN: Cross-scale fretting failure mechanism and fatigue failure prediction of metal rubber
Authors: Bai Yonggang , Shi Xianjie , Guo Zhuotao , Huang Zihao , Xiao Duping , Ren Zhiying 
Published: December 2022

Abstract
Metal rubber (MR) is a kind of elastic porous material with a complex and disordered internal structure, which results in a life evaluation that can only rely on tests but cannot meet the engineering application. This paper presents an interesting life prediction method based on its virtual fabrication technology. By developing the intricate internal multipoint random contact mesh model of MR, a virtual real-time dynamic tracking contact point in the state is captured. A thorough investigation is conducted into the contact point properties, point distribution, and the interaction of discrete contact points in MR interior space. Accordingly, a cross-scale fretting failure mechanism from micromorphology to macro-performance is proposed. The continuous fatigue cycle of MR is discretized into multiple single-turn metal wire elements by applying the principle of equal spacing. A statistical model of internal contact point wear of MR at the microlayer is developed considering the metal wire's single-turn fretting wear prediction model. The cumulative prediction model of macroscopic fatigue damage of MR is based on the superposition of micro-element interval. Finally, the fitting degree between the mass loss with loss factor and stiffness degradation degree after performing fatigue tests under different periods is investigated. A fatigue failure prediction model of metal rubber is established. The results of the fatigue failure prediction models are compared with experimental data and found to be consistent.
Methodology for evaluating biodiversity strategies - Analysis of the capacity to initiate transformative change - Application for the French National Strategy for Biodiversity 2022-2030 (SNB3)
Authors: Dupuis Louise , Léandre Coline , Delavaud Aurélie , Jactel Hervé , Soubelet Hélène 
Published: December 2022

Abstract

This paper is part of the emerging literature on transformative change, in line with the new Ipbes work program "Transformative Change Assessment". In France, the third National Strategy for Biodiversity (SNB3), published in 2022, is due to be one of the national declinations of the next global framework of the Convention on Biological Diversity (CBD), of the European strategy for biodiversity, and was meant to be based on the scientific recommendations of Ipbes (1). The main question here is: Is it really the case? And how can we measure the effectiveness of this compliance? In this context, the French Foundation for Biodiversity Research (FRB) has carried out an assessment of the capacity of the SNB3 to initiate transformative change. This paper describes on one hand the two-steps assessment methodology of the leverage potential of the strategy’s measures, based on a robust and replicable independent scientific audit and a multi-criteria analysis (2). On the other hand, we present the majors results of the assessment in the case of SNB3 (3). Eventually, we discuss the scientific and practical interest of this type of exercise for policy makers in establishing strategies that are part of a transition process, allowing for real transformative changes in society (4). By analyzing all the measures and ranking them from the most efficient to the least efficient, this use-case reveals the strengths and weaknesses of a strategy by anticipating what would have and will not have an impact and points out what needs to be improved as a priority.
Comparison of single-stage and two-stage transverse preputial island flap urethroplasty for severe hypospadias with long urethral defect length: A prospective multicenter study
Authors: Liu Pei , Yang Zhenzhen , Li Jiayi , Fang Yiwei , Wang Xinyu , Fan Songqiao , Li Zonghan , Song Hongcheng , Zhang Weiping , Sun Ning , Tang YunMan , Huang LuGang , Yang Yi , Chao Min , Ma Hong , Zhang Jingti , Zhang Xuhui , Li Shoulin , Li Ning , Chen Chao , He Dawei , Wu Wenbo , Xie Hua 
Published: December 2022

Abstract
Purpose To find the cut-off value of urethral defect length (UDL) to guide the choice of single‑stage or two‑stage transverse preputial island flap urethroplasty (TPIFU).
Methods We prospectively collected the data of patients with severe hypospadias underwent single-stage and two-stage TPIFU at fifteen tertiary referral institutions from 2019 to 2020. The receiver operating characteristic (ROC) analyzed the cut-off value of UDL to predict postoperative complications with single-stage TPIFU. We extracted patients with long UDL (longer than the cut-off value) in the single-stage and two-stage TPIFU, comparing the postoperative complications.
Results A total of 536 patients included 483 underwent single-stage TPIFU and 53 underwent two-stage TPIFU were collected. The ROC analyzed the cut-off value of UDL was 3.5 cm. 169 patients with long UDL (longer than 3.5 cm) were extracted from all 536 patients, with 126 underwent single-stage TPIFU (single-stage group) and 43 underwent two-stage TPIFU (two-stage group). In the single-stage group, complications occurred in 62 (49.2%) patients, including 34 (27.0%) with urethrocutaneous fistula, 21 (16.7%) with urethral stricture, and 25 (19.8%) with diverticulum. In the two-stage group, total complications occurred in four (9.3%), there were both two (4.7%) with urethral stricture and diverticulum, and no urethrocutaneous fistula was recorded.
Conclusion Our results show that two-stage TPIFU can significantly reduce the incidence of postoperative complications for hypospadias with UDL longer than 3.5 cm, especially urethrocutaneous fistula and diverticulum.
Benchmarking Effects of Communication Bandwidths and Number of Options on Collective Decision-making Strategies in Discrete Collective Estimation
Authors: Shan Qihao , Mostaghim Sanaz 
Published: December 2022

Abstract
Multi-option collective decision making is an emergent topic of study within the field of swarm intelligence. Many strategies have been proposed to enable decentralized and localized decision-making behaviors in intelligent swarms. However, when applied to multi-option scenarios , many proposed strategies have very different requirements on the communication bandwidth and paradigm, which make a clear and fair comparison difficult. In this paper, we seek to investigate and compare the performances of opinion-based decision-making strategies and newly proposed multi-option strategies in a discrete collective estimation scenario when the communication bandwidth and paradigm are controlled. The considered strategies’ performances are assessed via error, consensus time and failure rate. We have experimented on decision-making scenarios with random and concentrated distribution of features, as well as different number of available options. Among the considered strategies, we have observed that distributed Bayesian belief sharing (DBBS) has superior performances in all three metrics, especially at higher communication bandwidths. On the other hand, ranked voting with Borda count (RV-BC) has comparable performances to the baseline opinion-based strategies at lower bandwidths, while slightly outperforms at higher bandwidths. In contrast, opinion-based approaches are competitive at lower communication bandwidths, and are less adversely affected when facing a high number of available options.
A piece of the puzzle: seasonality, distribution and Leishmania infection rates in sand flies on the Brazilian side of Foz do Iguaçu
Authors: Thomaz-Soccol Vanete , Gonçalves André Luiz , Bisetto Alceu , Baggio Rafael Antunes , Celestino Adão , Santiani Manuel Hospinal , Souza André , Mychalizen Mario , Borges Marcelo Eduardo , Piechnik Cláudio Adriano 
Published: December 2022

Abstract
Background: The recent geographic expansion of Leishmania infantum vectors in the triple border area of Argentina, Brazil, and Paraguay has highlighted the need to know the seasonality, parasite infection rate, and the factors that contribute the dispersal and handling of this parasite.
Methods: Entomological, quantitative longitudinal studies were conducted in Foz do Iguaçu, Brazil, where sand fly abundance was higher in cross-sectional studies. Monthly sand fly samplings occurred in 2014-2015. LeishmaniaDNA was detected by PCR and subsequently sequenced, classified, and the infection rate was estimated. The study also featured an observational and descriptive design. Environmental variables were analyzed at the micro- and mesoscales, and the data were evaluated along with entomological and infection inputs.
Results: A total of 3,582 sand flies were caught. Lutzomyia longipalpiswas the predominant species (71.5%) among 13 species found in one year of sampling. Four species, Evandromyia edwardsi, Expapillata firmatoi, Micropygomyia ferreirana, and Pintomyia christenseni were reported for the first time. The NDVI, distance from water, sex, west-to-east wind, and wind speed were significant variables for the intra-environment presence and/or abundance of vectors. The presence and/or abundance of vectors in peri-domicile were influenced by rain, altitude, maximum temperature, minimum and maximum relative humidity, west-to-east wind, wind speed, and sex. Considering PCR positivity, females infected with L. infantum were found throughout the year, and especially with Lu. longipalpis (prevalence means of 16.4).
Conclusions: Vector colonization concentrates on urban and peri-urban hotspot areas, with some individuals being present in various parts of the city and few sites showing high vector abundance. This distribution suggests that the risk of actual contact between humans and parasitic vectors in urban areas during the epidemic period is associated with patches of peri-urban vegetation and then spreads across urban areas. We can state that, in the period of this study, the most critical transmission phase for L. infantum in the region is from January to May. Therefore, future management plants to reduce access to reservoirs might reduce sand fly infection and consequently human and animal infections.
Ratio between IgG against the spike protein of seasonal coronaviruses and SARS- CoV-2 is associated with a fatal outcome of hospitalized COVID-19 patients
Authors: Smit Wouter , Tol Sophie van , Lelyveld Lenneke van , Limonard Gijs , Bossink Ailko , Reusken Chantal , Heron Michiel , Thijsen Steven 
Published: December 2022

Abstract
SARS-CoV-2 infection elicits a cross-reactive and back boosting immune response from prior exposure to any of the human seasonal coronaviruses (HCoVs), but is has yet to be determined whether this response is associated with fatal outcome of severe COVID-19 disease. In a cohort of 58 hospitalized patients, we have shown that heterologous immune responses are associated with increased disease severity. Here, we report that a lower anti-spike IgG ratio of SARS-CoV-2 to HCoVs, in particular to the human coronavirus 229E, correlates with decreased neutralizing antibody titers, and is associated with a fatal disease course. These results support the hypothesis that pre-existing humoral immunity to spike antigens of HCoVs may impair an efficient immune response during COVID-19.
CAR-T cell-induced cytokine release syndrome is rapidly alleviated by tripterygium glycosides
Authors: Xu Zuqiong , Tian Fang , Chen Biqing , Kong Xiangtu , Dai Xingbin , Cao Jiang , Jiang Pengjun , Lu Lu , Lv Qi , Yang Aiping , Ma Leyuan , Hu Lihong , Zhu Xuejun 
Published: December 2022

Abstract
Background
Cytokine release syndrome (CRS) is a life-threatening complication of chimeric antigen receptor T cell (CAR-T) therapy. Macrophages/ monocytes are mediators of CRS. Tripterygium glycosides is an immunomodulator which could inhibit macrophages/ monocytes in animal models.
Methods
Two patients with relapsed and refractory hematological malignancies developed CRS after receiving CAR-T therapy. They received short-term tripterygium glycosides orally.
Results
Both patients showed rapid mitigation of fever with evidently decrease in elevated inflammatory cytokines within 72 hours. The patients' monocytes diminished remarkably, while CAR-T cells were neglectably affected. Treatment of 30 ng/mL triptolide in ex vivo cultured patients' blood for 24 hours selectively deplete over half of monocytes. Single cell RNA sequencing suggested selective depletion of CD14+CD16+ monocytes with decreased pro-inflammatory cytokines.
Conclusions
The low-cost and orally available tripterygium glycosides could be a promising alternative for CAR-T induced CRS, as well as other diseases complicated with CRS, e.g., coronavirus disease 2019.
Azithromycin ameliorated cigarette smoke-induced airway epithelial barrier dysfunction by activating Nrf2/GCL/GSH signaling pathway
Authors: Song Yun , Fu Wenhuan , Zhang Youzhi , Huang Doudou , Wu Jian , Tong Shuangmei , Zhong Mingkang , Cao Huifang , Wang Bin 
Published: December 2022

Abstract
Background
Airway epithelium is the first barrier against environmental insults, and epithelial barrier dysfunction caused by cigarette smoke (CS) is particularly relevant to chronic obstructive pulmonary disease (COPD) progression. Our study was to determine whether Azithromycin (AZI) ameliorates CS-induced airway epithelial barrier dysfunction and the underlying mechanisms.
Methods
Primary bronchial epithelial cells (PBECs), human bronchial epithelial cells (HBECs), Sprague Dawley rats and nuclear factor erythroid 2-related factor 2 (Nrf2)-/- mice were pretreated with AZI and subsequently exposed to CS. Transepithelial electronic resistance (TEER), junction proteins as well as pro-inflammatory cytokines and apoptosis markers were examined to assess epithelial barrier dysfunction. Metabolomics study was applied to explore the underlying mechanism of AZI.
Results
CS-induced TEER decline and intercellular junction destruction, accompanied with inflammatory response and cell apoptosis in PBECs were restored by AZI dose-dependently, which were also observed in CS-exposed rats. Mechanistically, GSH metabolism pathway was identified as the top differentially impacted pathway and AZI treatment upregulated the activities of glutamate cysteine ligase (GCL) and the contents of metabolites in GSH metabolic pathway. Furthermore, AZI apparently reversed CS-induced Nrf2 suppression, and similar effects on airway epithelial barrier dysfunction were also found for Nrf2 agonist tert-butylhydroquinone and vitamin C. Finally, deletion of Nrf2 in both HBECs and C57BL/6N mice aggravated CS-induced GSH metabolism imbalance to disrupt airway epithelial barrier and partially deprived the effects of AZI.
Conclusion
These findings suggest that the clinical benefits of AZI for COPD management are related with the protection of CS-induced airway epithelial barrier dysfunction via activating Nrf2/GCL/GSH pathway, providing potential therapeutic strategies for COPD.
Neural network-based prognostic predictive tool for gastric cardiac cancer: the worldwide retrospective study
Authors: Li Wei , Zhang Minghang , Cai Siyu , Wu Liangliang , Li Chao , He Yuqi , Yang Guibin , Wang Jinghui , Pan Yuanming 
Published: December 2022

Abstract
Background: Gastric cancer (GC) is one of the most common cancers and the main cause of tumor-related death worldwide. Moreover, the incidence of gastric cardiac cancer (GCC) has increased obviously, with the potentially different prognosis from other sites of GC (non-gastric cardiac cancer, NGCC). We will analyze the prognosis between GCC and NGCC, and set up an effective prognostic model based on neural network for GCC.
Methods: In the population-based cohort study, we firstly enrolled the clinical features from the Surveillance, Epidemiology and End Results (SEER) data (n=31397) as well as the public Chinese data from different hospitals (n=1049). Then according to the diagnostic time, the SEER data were then divided into two cohorts, the train cohort (patients were diagnosed as GCC in 2010-2014, n=4414) and the test cohort (diagnosed in 2015, n=957). Age, sex, pathology, tumor, node, and metastasis (TNM) stage, tumor size, surgery or not, radiotherapy or not, chemotherapy or not and history of malignancy were chosen as the predictive clinical features.
Results: The prognosis of GCC patients in SEER database was worse than that of NGCC patients, while it was not worst in the Chinese data. The total of 5371 patients were used to conduct the development model, following inclusion and exclusion criteria. Neural network-based prognostic predictive model had a satisfactory performance for GCC overall survival (OS) prediction, which owned 0.7431 AUC in the train cohort (95% confidence intervals, CIs, 0.7423-0.7439) and 0.7419 in the test cohort (95% CIs, 0.7411-0.7428).
Conclusion: GCC patients indeed have the different survival time compared with NGCC patients. And this neural network-based prognostic predictive tool is a novel and promising software for the outcome of GCC patients.
Asymptotic corrections to the low frequency theory for a cylindrical elastic shell
Authors: Kaplunov Julius , Ege Nihal , Erbaş Barış , Noori Noorullah 
Published: December 2022

Abstract
The general scaling underlying the asymptotic derivation of 2D theory for thin shells from the original equations of motion in 3D elasticity fails for cylindrical shells due to the cancelation of the leading order terms in the geometric relations for the mid-surface deformations corresponding to shear and circumferential extension. As a consequence, a cylindrical shell as an elastic waveguide supports a small cut-off frequency for each circumferential mode. The value of this cut-off tends to zero at the thin shell limit. In this case, the near cut-off behaviour is strongly affected by the presence of two small parameters associated with the relative thickness and wavenumber. It is not obvious whether it can be treated within the 2D theory. For the first time, a novel special scaling is introduced, in order to derive an asymptotically consistent formulation for a cylindrical shell starting from 3D framework. Comparisons with the previous results obtained using the popular 2D Sanders-Koiter shell theory is presented. Asymptotic corrections are deduced for the fourth order equation of low-frequency motion and some of other relations, including the formulae for tangential shear stress resultants.
Mathematics Subject Classification (2010). 74K25, 74J05, 74H10.
Predicting movement speed of beetles from body size and temperature
Authors: Terlau Jördis F. , Brose Ulrich , Thomas Boy , Samraat Pawar , Pinsky Malin , Hirt Myriam R. 
Published: December 2022

Abstract
Movement facilitates and alters species interactions, the resulting food web structures, species distribution patterns, community structures and survival of populations and communities. In the light of global change, it is crucial to gain a general understanding of how movement depends on traits and environmental conditions. Although insects and notably Coleoptera represent the largest and a functionally important taxonomic group, we still know little about their general movement capacities and how they respond to warming. Here, we measured the exploratory speed of 125 individuals of eight carabid beetle species across different temperatures and body masses using automated image-based tracking. The resulting data revealed a power-law scaling relationship of average movement speed with body mass. By additionally fitting a thermal performance curve to the data, we accounted for the unimodal temperature response of movement speed. This allometric and thermodynamic equation to predict exploratory speed can be incorporated into modeling approaches to predict trophic interactions or spatial movement patterns. Overall, these findings will help improve our understanding of how temperature effects on movement cascade from small to large spatial scales as well as from individual to population fitness and survival across communities.