bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determination of specific lethal heat treatment parameters for pests associated with wood products using the Humble water bath
Authors: Noseworthy M. K. , Humble L. M. , Souque T. , John E. , Roberts Josie , Allen Eric , Lloyd Charlene 
Published: July 2022

Abstract
Heat treatment is an effective sanitization method used for over half a century to reduce the risk of transporting pests associated with wood products. The determination of precise lethal heat treatment parameters for pests is critical for the development of globally harmonized plant protection regulatory treatment policies. Separation of heat treatment dose (time and temperature) from the application of heat (delivery) allows for universal agreement on lethal dose and promotes efficient development of treatment schedule guidance. The Humble water bath is an efficient and carefully calibrated heat treatment apparatus designed to test the effects of heat and determine lethal temperature doses. Specifications for building this apparatus and experimental treatment parameters are described. To demonstrate the capacities of the water bath apparatus, the effect of heat on a non-indigenous wood boring beetle, Anisandrus dispar, are reported using heat-ramp regimes similar to industrial kiln heating applications. Adult A. dispar tested in-vitro, did not survive 50°C treatment temperature for 15 minute time duration.
PCDHA1 high expression is associated with poor prognosis and correlated with immune cell infiltration in breast cancer
Authors: Du Jiawei , Wu Kaidi 
Published: July 2022

Abstract
Background
Breast cancer (BC) is still one of the biggest threats to women’s health. Protocadherin gene PCDHA1 is abnormally highly expressed in breast cancer tissues. However, the biological role of PCDHA1 in breast cancer has not been fully elucidated and the relationship with the immune microenvironment needs to be further studied.
Methods
TCGA-BRCA gene expression files were used to characterize PCDHA1. Kaplan-Meier method was used to estimate PCDHA1 prognosis potential. GSEA analysis was performed to determine the signaling pathways altered by PCDHA1 aberrant expression. The correlations between PCDHA1 and immune cell infiltration levels were analyzed by CIBERSORT. Wilcoxon’s rank-sum test was used to identify chemokine and chemokine receptors significantly associated with PCDHA1. The CCK8 assay and the transwell invasion assay were occupied to evaluate the effect of PCDHA1 overexpression on BC cells.
Results
Survival analysis revealed PCDHA1 was associated with poor prognosis in BC. Enrichment analysis uncovered several metabolism pathways were activated by PCDHA1. Moreover, PCDHA1 was positively correlated with activated NK cells but negatively correlated with resting NK cells infiltration. In addition, chemokines CCL28, CXCL17, and receptor CCR9 expression were associated with PCDHA1. The CCK8 assay and the transwell invasion assay proved that PCDHA1 overexpression enhanced MCF-7 and MDA-MB-231 cell proliferation and invasion.
Conclusions
This study demonstrated that PCDHA1 effectively predicted BC prognosis. Upregulated PCDHA1 activated metabolism pathways, and promoted NK cells and chemokines. PCDHA1 overexpression enhanced BC cell proliferation and invasion. Therefore, an understanding of PCDHA1’s function in BC may yield insights into the mechanisms of BC development.
Description, identification, and growth of Tuber borchii Vittad. mycorrhized Pinus sylvestris L. seedlings on different lime contents
Authors: Mrak Tanja , Grebenc Tine , Friedrich Silke , Münzenberger Babette 
Published: July 2022

Abstract
Tuber borchii forms ectomycorrhiza with oaks, hazel, and pines, including Pinus sylvestris. However, its ectomycorrhiza morphotype with Pinus sylvestris was not comprehensively described so far and molecular analyses are missing despite a high danger of misidentification of T. borchii ectomycorrhiza with other closely related and less valuable truffle species. We described for the first time the morphology and anatomy of T. borchii-P. sylvestris ectomycorrhiza using differential interference contrast technique and semi-thin sections in combination with molecular confirmation of identity. Colour of ectomycorrhiza is reddish to dark brown and morphotypes are unevenly but densely covered by warts-bearing pin-like cystidia. All layers of the hyphal mantle are pseudoparenchymatous with outer mantle layer formed of epidermoid cells. T. borchii ectomycorrhiza was identified by a molecular comparison with fruitbodies used for inoculation and its respective ectomycorrhizae. T. borchii has a wide ecological amplitude. To get a better insight in mycorrhization requirements, we investigated growth of P. sylvestris and its ectomycorrhiza infection rate with T. borchii in substrate with different lime content. The mycorrhization of P. sylvestris with T. borchii in the mycorrhization substrate and cultivation in greenhouse conditions was successful, with colonization of P. sylvestris varying between 36.5% and 48.1%. There was no significant correlation of mycorrhization to applied lime contents, and consequently to pH in substrate, while the increased levels of lime improved growth of the P. sylvestris seedlings.
Adaptive Frequency-Based Fully Hyperbolic Graph Neural Networks
Authors: Wei FeiFei , Ping MingZhu , Mei KuiZhi 
Published: July 2022

Abstract
Graph Convolutional Networks (GCNs) have attracted broad attention from industry and academia, for which GCNs have demonstrated powerful ability to model the irregular data, e.g., skeletal data and graph-structured data. The most existing effective model may be the fully hyperbolic graph neural network. However, it involves a large number of parameters, thus consuming considerable computing resources. In this paper, we propose a model based on adaptive frequency filter and corresponding optimizer in hyperbolic space. The adaptive frequency can learn the different frequency components of the embeddings of the nodes in graph, which adaptively adjust the beneficial signals of high-frequency and low-frequency. And the optimizer is based on a subset of the orthogonal constraint, which is dedicated for the adaptive frequency with less parameters. Consequently, our model need only to optimize the less parameters in hyperbolic space and meanwhile prevent the distortion caused by conventional manifold GCN. Experimental results show that our method achieves substantial improvements and outperforms the state-of-the-art performance in terms of node classification.
Simulation analysis and physiological and biochemical evaluation of Sophora flavescens aboveground against aphids using network pharmacology
Authors: Guo Chun-Yan , Zhou Bao-Chang , Liu Yi-Bo , Niu Hui , Lv Li-Juan , Li Min-Hui 
Published: July 2022

Abstract
Pests have caused substantial damage to the human environments; therefore, studying insecticidal mechanisms is crucial for improving pest control. However, irreversible secondary damage caused by chemical pesticides must be considered. In this study, we used network pharmacology to determine that Sophora flavescens Alt. mainly acts on glucose-6-phosphate 1-dehydrogenase, thymidylate synthase, and translocation protein in aphids, thereby resulting in effective pest control. The stability and reliability of target proteins were analyzed by molecular docking and dynamics simulations. Enzyme activity assays validated the feasibility of network pharmacology to obtain actionable targets. We used interdisciplinary integration to study pest control and used network pharmacology to identify how Sophora flavescens Alt. resists aphids. The results show that network pharmacology increases the accuracy and specificity of predicted molecules targeted by insecticides. Our approach will facilitate improved, environmentally friendly pest control.
Subchronic tolerance trials of graded oral supplementation with ornithine hydrochloride or citrulline in healthy adults
Authors: Miura Naoki , Morishita Koji , Yasuda Takamasa , Akiduki Saori , Matsumoto Hideki 
Published: July 2022

Abstract
Ornithine and citrulline are amino acids used in dietary supplements and nutritional products consumed by healthy consumers; however, the safe intake level of ornithine or citrulline supplementation is unknown. The objective of this study was to conduct two 4-week clinical trials to evaluate the safety and tolerability of graded dosages of oral ornithine (as hydrochloride) and citrulline. Healthy male adults (n = 60, age 41.4 ± 1.5 years) completed graded dosages of either ornithine hydrochloride (3.2, 6, 9.2 and 12 g/d) or citrulline (6, 12, 18 and 24 g/d) supplement for 4 weeks with 2-week wash-out periods in between. Primary outcomes included vitals, a broad spectrum of circulating biochemical analytes, body weight, sleep quality and mental self-assessment. In the ornithine hydrochloride supplementation group, minor changes in plasma aspartic acid, glutamic acid concentrations and increased its plasma concentration at highest intake dosages were observed. In the citrulline supplementation group minor changes in laboratory data of serum lactate dehydrogenase and plasma amino acid concentration of lysine, methionine, threonine, aspartic acid, glutamic acid, glutamine and ornithine, as well as arginine and citrulline itself were measured. No other changes in measured parameters were observed, and study subjects tolerated 4-week-long oral supplementation of ornithine hydrochloride or citrulline without treatment-related adverse events. A clinical, no-observed-adverse-effect-level (NOAEL) of ornithine hydrochloride and citrulline supplementation in healthy adult males was determined to be 12 g/day and 24 g/day (4weeks), respectively.
Discovering Unknown Labels for Multi-Label Image Classification
Authors: Huang Jun , Yan Yu , Zheng Xiao 
Published: July 2022

Abstract
A multi-label learning (MLL) method can simultaneously process the instances with multiple labels, and many well-known methods have been proposed to solve various MLL-related problems. The existing MLL methods are mainly applied under the assumption of a fixed label set, i.e., the class labels are all observed for the training data. However, in many real-world applications, there may be some unknown labels outside of this set, especially for large-scale and complex datasets. In this paper, a multi-label classification model based on deep learning is proposed to discover the unknown labels for multi-label image classification. It can simultaneously predict known and unknown labels for unseen images. Besides, an attention mechanism is introduced into the model, where the attention maps of unknown labels can be used to observe the corresponding objects of an image and to get the semantic information of these unknown labels.
Angling for X-ray pulsar geometry with polarimetry
Authors: Doroshenko Victor , Poutanen Juri , Tsygankov Sergey , Suleimanov Valery , Bachetti Matteo , Caiazzo Ilaria , Costa Enrico , Marco Alessandro Di , Heyl Jeremy , Monaca Fabio La , Muleri Fabio , Mushtukov Alexander , Pavlov George , Ramsey Brian , Rankin John , Santangelo Andrea , Soffitta Paolo , Staubert Ruediger , Weisskopf Martin , Zane Silvia , Agudo Iván , Antonelli Lucio , Baldini Luca , Baumgartner Wayne , Bellazzini Ronaldo , Bianchi Stefano , Bongiorno Stephen , Bonino Raffaella , Bucciantini Niccolò , Brez Alessandro , Capitanio Fiamma , Castellano Simone , Cavazzuti Elisabetta , Ciprini Stefano , De Rosa Alessandra , Monte Ettore Del , Gesu Laura Di , Lalla Niccolò Di , Donnarumma Immacolata , Dovciak Michal , Ehlert Steven , Enoto Teruaki , Evangelista Yuri , Fabiani Sergio , Ferrazzoli Riccardo , Garcia Javier , Gunji Shuichi , Hayashida Kiyoshi , Iwakiri Wataru , Jorstad Svetlana , Karas Vladimir , Kitaguchi Takao , Kolodziejczak Jeffery , Krawczynski Henric , Latronico Luca , Liodakis Ioannis , Maldera Simone , Manfreda Alberto , Marin Frédéric , Marinucci Andrea , Marscher Alan , Marshall Herman , Massaro Francesco , Matt Giorgio , Mitsuishi Ikuyuki , Mizuno Tsunefumi , Ng C.-Y. , O'Dell Stephen , Omodei Nicola , Oppedisano Chiara , Papitto Alessandro , Peirson Abel , Perri Matteo , Pesce-Rollins Melissa , Pilia Maura , Possenti Andrea , Puccetti Simonetta , Ratheesh Ajay , Romani Roger , Sgro Carmelo , Slane Patrick , Spandre Gloria , Sunyaev Rashid , Tamagawa Toru , Tavecchio Fabrizio , Taverna Roberto , Tawara Yuzuru , Tennant Allyn , Thomas Nicolas , Tombesi Francesco , Trois Alessio , Turolla Roberto , Vink Jacco , Wu Kinwah , Xie Fei 
Published: July 2022

Abstract
Using observations of X-ray pulsar Her X-1 by the Imaging X-ray Polarimetry Explorer, we report on a highly significant detection of the polarization signal from an accreting neutron star. The observed degree of the linear polarization of ∼ 10% is found to be far below theoretical expectations for this object, and stays low throughout the spin cycle of the pulsar. Both the polarization degree and the angle exhibit variability with pulse phase, which allowed us to measure the pulsar spin position angle and magnetic obliquity of the neutron star, which is an essential step towards detailed modeling of the intrinsic emission of X-ray pulsars. Combining our results with the optical polarimetric data, we find that the spin axis of the neutron star and the angular momentum of the binary orbit are misaligned by at least ∼20 deg, which is a strong argument in support of the models explaining stability of the observed super-orbital variability with the precession of the neutron star.
Physical as well as psychological distress and coping with situational dilemmas experienced by people infected with COVID-19: a mixed method study
Authors: Hengyotmark Arunee , Kusoom Wichitra 
Published: July 2022

Abstract
Background: The COVID-19 pandemic caused serious health problems that affected people physically, and psychologically around the globe. This study aimed to (1) understand physical distress (PhD), psychological distress (PsD), and coping experiences among people infected with COVID-19 (2) develop a grounded theory (3) examine PhD, PsD, and coping among people infected with COVID-19. Methods: A sequential exploratory mixed methods strategy was employed. A qualitative procedure was based on a grounded theory, data collection included observation and in-depth interviews with 25 participants, aged 18 years and above. The quantitative one included 180 participants, from Bangkok Metropolitan, and Northeastern region of Thailand from February to May 2022. A snowball sampling technique was used. Quantitative instrument: was built based on grounded data from a qualitative approach. Physical, psychological distress, and coping were assessed. Content analysis was applied using the Strauss and Corbin method, and software ATLAS.ti. Descriptive statistic, Pearson’s correlation, and independent t-test were used. Results: Six major themes included 10 sub-themes. The six major themes appeared (1) severity of COVID-19 symptoms (2) death anxiety (3) uncertainty (4) barrier to healthcare access (5) compliance, and self-regulation coping (6) post-COVID-19 effects. PhD, PsD, and coping were at a moderate level. All PhD, PsD, and coping were in positive relations. Comparison of PsD, and coping between the non-severe group and severe group was significantly different (p<0.001, p<0.05). Post COVID-19 effects were fatigue, dyspnea, high blood sugar level, impairment of lungs, liver, and kidney. Conclusions: The findings of the study supported 6 major themes including 10 sub-themes. All PhD, PsD, and coping were in positive relations. The PsD, and coping of the severe group was higher than non-severe group. Suggestions, healthcare providers should be concerned with sufficient healthcare services, physical and psychological supports. The interventions are needed for their recovery from physical and psychological effects.
Homozygous Mthfr C677t Carriers Develop Idiopathic Portal Vein Thrombosis Twenty Years Earlier Than Wild Type
Authors: Ames Paul RJ , D’Andrea Giovanna , Arcaro Alessia , Marottoli Vincenzo , Iannaccone Luigi , Margaglione Maurizio , Gentile Fabrizio 
Published: July 2022

Abstract
Objective: To compare age at occlusion and plasma homocysteine (HC) in patients with idiopathic portal vein thrombosis (PVT) genotyped for methylene tetrahydrofolate reductase (MTHFR) rs1801133 (C®T667 transition), to identify which clinical or laboratory variables influenced age at first PVT, including the prothrombin rs1799963 PT (G®A transition at position 20210) (PT) mutation. Methods: Retrospective cross-sectional cohort survey on 17 MTHFR TT, 45 MTHFR TC and 24 MTHFR CC participants with idiopathic PVT who contributed age, sex, age at PVT, smoking status, plasma HC and natural anticoagulant concentrations. Results: Age at PVT was lower in MTHFR TT than MTHFR TC and CC (31±8 vs. 46±16 vs. 52±14 years, respectively, p=0.001); median (IQR) plasma HC was higher in MTHFR TT than in the other groups [17 (12.6,25.0) vs. 10 (7.4,13.1) vs. 11.9 (8.1,5.8) μmol/l, respectively, p=0.002)]. MTHFR TT and protein C independently predicted age at PVT (p<0.0001 and p=0.04 respectively); MTHFR TT independently predicted plasma HC (p=0.05). Smoking and sex predicted cavernoma (p=0.002 and p=0.02 respectively). Compound MTHFR TT with PT GA had no lowering effect on age at first VTE compared to MTHFR TT alone (37±7 vs. 30±8 years). Conclusions: MTHFR TT anticipates age at PVT by an average of 20 years compared to other MTHFR genotypes. PT GA had no age lowering effect combined with MTHFR TT. Smoking predicts cavernoma formation, suggesting that smoking may associate with recurrent subclinical PVT before the symptomatic presentation.
The incidence and risk factors of syndromic psychological dysfunction in family members after ICU: A meta-analysis
Authors: zhang baozhen , cheng zhiqiang , xia jiaoyun , wang xiaoxing 
Published: July 2022

Abstract
Objective To summarize the risk factors of Post Intensive Care unit-family (PICS-F) mental dysfunction in family members, and to provide evidence for clinical medical staff to identify the risk factors of PICS-F mental dysfunction in advance.Methods Embase, PubMed, Cochrane Library, EBSCO, Web of Science, China Biomedical Database (CBM), CNKI, WanFang Database and VIP database were systematically searched from database establishment to May 2022. Literature on the risk factors of PICS-F mental dysfunction was included. After screening, extraction and quality evaluation, stata17.0 and RveMan5.4 were used to conduct meta-analysis on the incidence and risk factors of PICS-F.Results a total of 10692 subjects were included in 15 literatures. The incidence of pics-f mental dysfunction was 28% (95%CI 0.22 to 0.35). Subgroup analysis showed a 30% incidence in the United States and 27% in other countries. The incidence was 26% in cohort studies, and 43% in case-control and cross-sectional studies. The incidence was 26% at 3 months and 13% at 6 months. Meta-analysis results showed patient age (OR=1.06,95%CI 1.01 to 1.10), gender of family members (OR=4.07,95%CI 2.52 to 6.60) and relationship between family members and patients (OR=2.24,95%CI 1.00 to 4.99), family history of mental illness (OR=3.77,95%CI 1.58 to 8.97), length of ICU stay (OR=4.72,95%CI 2.10 to 10.64), and severity of disease (OR=5.95,95%CI 2.09 to 16.94), death (OR=1.90,95%CI 1.31 to 2.77), family education level (OR=1.07,95%CI 1.02 to 1.12) were the influencing factors of PICS-F psychological dysfunction. It is not clear whether the mode of admission and attendance at family meetings have an effect on PICS-F mental dysfunction.Conclusion The risk factors for PICS-F mental dysfunction are young age, female family member, spouse, history of mental illness, long ICU stay, severity of illness, death and low education level of family members. Clinical medical staff should pay attention to the above risk factors and take corresponding measures to reduce the incidence of PICS-F psychological dysfunction. Relevance to clinical practiceThe results of our meta-analysis have important consequences for ICU nurse managers. Our finding of high rate of PICS-F Psychological dysfunction among ICU patients. That more attention should be devoted to develop and apply prevention programs for ICU nurses to manage this global issue.
A Study on antigravity for voltage variation with different heights using PKL electrochemical cell
Authors: Alam Md Rabiul , Khan K.A. 
Published: July 2022

Abstract

Antigravity devices use non-aerodynamic methods of propulsion to create thrust – typically a directional or upward thrust from systems based usually on Electromagnetism. There are hundreds of proposed methods of creating Antigravity Effects, but they typically fall into a few broad categories of device. Antigravity is a multi-disciplinary science at the crossroads of aerospace engineering, particle physics, Ufology, space science, transportation politics, psychology, and cultural mythology. Research in this area requires deep knowledge across a diverse number of other specialized sciences, as well as the ability to work with incomplete information. But we are focusing on EAD or in other word ION propulsion method. As we all know that ion propulsion always linked to high voltage issues. That’s why first we are trying measure low voltage power supply of PKL cell for different heights for antigravity. Here, we are trying to learn that how gravity affect a power source.
The feasibility of hydrometallurgical methods for enhancing the processing of copper concentrates
Authors: Vasilieva A. A. , Boduen A. Ya. , Vasiliev R. E. 
Published: July 2022

This article analyses available methods for processing low-grade copper concentrates, including existing hydrometallurgical schemes of their conditioning. To this end, we review Russian and foreign publications investigating existing technologies for processing substandard copper raw materials, which are used to deepen the extraction of valuable components from raw materials. Particular attention is paid to the technologies of hydrometallurgical processing of raw materials in terms of their feasibility for conditioning low-grade copper-containing materials as a substitution for conventional processing methods. The most promising technologies in terms of their further development and industrial application were identified among autoclave (MT Gordon, Platsol, CESL, hydrothermal treatment, etc.) and atmospheric leaching (HydroCopper, Intec Copper Process, Albion, etc.) methods. A number of research gaps in the field of copper raw and copper alloy processing were revealed, including problems related to conditioning of low-grade raw materials. Copper ores contain a significant amount of zinc and copper sulphides, whose complete extraction can be achieved using modern hydrometallurgical methods thus contributing to the efficiency of raw materials processing. In this respect, the Albion process seems to be a highly promising solution, thus requiring further studies.