bluuebunny/crossref_metadata_2025 huggingface dataset:
Field scale plant water relation of maize (Zea mays) under drought – impact of root hairs and soil texture
Authors: Jorda Helena , Ahmed Mutez A. , Javaux Mathieu , Carminati Andrea , Vetterlein Doris , Duddek Patrick , Vanderborght J.
Published: June 2022

Background and aims: Impact of drought on crop growth depends on soil and root hydraulic properties that determine the acces of plant roots to soil water. Root hairs may increase the accessible water pool but their effect depends on soil hydraulic properties and adaptions of root systems to drought. These adaptions are difficult to investigate in pot experiments that focus on juvenile plants. Methods: A wild-type and its root hairless mutant maize (Zea mays) crop were grown in the field in loam and sand substrates during two growing seasons with a large precipitation deficit. A comprehensive dataset of soil and plant properties and monitored variables was collected and interpreted using simulations with a mechanistic root water uptake model. Results: Total crop water use was similar in both soils and for both genotypes whereas shoot biomass was larger for the wild type than for the hairless mutant and did not differ between soils. Total final root length was larger in sand than in loam but did not differ between genotypes. Simulations showed that root systems of both genotypes and in both soils extracted all plant available soil water, which was similar for sand and loam, at a potential rate. Leaf water potentials were overestimated by the model, especially for the hairless mutant in sand substrate because the water potential drop in the rhizosphere was not considered. Conclusions: A direct effect of root hairs on water uptake was not observed but root hairs might influence leaf water potential dependent growth.
Machine Intelligence by Central Pivot Ranges (MICPR): An Optimal Resource Scheduling Strategy for Cloud Services
Authors: Rao Uma Maheswara , Sastry JKR
Published: June 2022

Alongside the increasing demand for cloud computing solutions, the other critical factor in focusing on cloud computing solutions is effective cloud resource sensing and scheduling. In the real-time scenario, there are numerous resource scheduling models available to support effective managing resource scheduling. However, resource sensing and scheduling challenges remains in the increasing complexities of background processing in the cloud servers. Thus, in this manuscript, a machine intelligence model that provides significant insights into how the load balance can be sensed and handled using the sever performance's critical metrics is proposed. The model is an automated machine intelligence (MI) approach that uses pivot range (CPR), support, and resistance models for estimating if the load of the system as per the metrics chosen is running heavy load or normal. Accordingly, the decision can be triggered automatically by MICPR to choose the fundamental resource sensing and scheduling algorithms. The experimental study of the model refers to potential ways in which the system can be feasible, and if implemented on a large scale, it can help reduce the backend load on the cloud servers.
Host-Guest Binding Selectivity of Ethylated Pillar[5]arene (EtP5A) towards Octane, 1,7-Octadiene, and 1,7-Octadiyne: A Computational Investigation
Authors: Krid Adel , Belkhiri Lotfi , Allal Hamza , Kuznetsov Aleksey , Boucekkine Abdou
Published: June 2022

Host−guest binding selectivity of the perethylated pillar[5]arene (EtP5A) macrocycles with aliphatic modified hydrocarbons, i.e., octane, 1,7-octadiene, and 1,7-octadiyne as guests, has been investigated computationally employing molecular docking simulations. Density Functional Theory (DFT) investigations were also performed on these host-guest complexes using the dispersion-corrected approach BLYP-D3(BJ)/TZP/COSMO calculations as implemented in the ADF program and two dispersion-corrected density functionals, ωB97XD and B97D, along with the 6-311G* basis set, coupled with the PCM solvation model as implemented in the Gaussian software. We performed analysis of the frontier molecular orbitals (FMO) and Natural Bond Orbitals (NBO), Energy Decomposition Analysis (EDA), and Non-Covalent Interaction (NCI-RDG) analysis. The study sheds light on the structures and binding energetics of EtP5A with the above-mentioned guests as well as on the physicochemical nature of the noncovalent interactions involved in these host-guest inclusion complexes. Based on the docking simulations, the EtP5A host revealed slightly better binding ability in the complex with the alkyne guest than with the octane and alkene, corroborated by the EDA analysis. The results showed that the complexation of EtP5A with the hydrocarbons is mainly governed by the interplay of electrostatic interactions and dispersive noncovalent interactions. These results agree well with NCI-RDG and NBO analysis showing that host − guest binding interactions result predominantly from electrostatic CH···π and van der Waals forces, the H-bonding being weak or not observed. The results obtained using different computational methods were found to be in good agreement and complementary.
Remimazolam besylate for the sedation of postoperative patients with invasive mechanical ventilation in the ICU: a prospective dose-response study
Authors: Chen Xiaoyan , Zhang Jiancheng , Yuan Shiying , Huang Haiyan
Published: June 2022

Background
This single-center study aims to determine the effective dose and safety of remimazolam besylate for the sedation of postoperative patients with invasive mechanical ventilation in the intensive care unit (ICU).
Methods
Mechanically ventilated patients admitted to the ICU after surgery were included. The Narcotrend index (NTI) was used to assess the depth of sedation, and the Richmond Agitation-Sedation Scale (RASS) was also recorded. Remimazolam besylate was administered initially at a loading dose of 0.02 mg/kg, followed by a gradual increase of 0.005 mg/kg each time until targeted depth of sedation was achieved (NTI 65–94). A maintenance dose of remimazolam besylate was administered starting at 0.2 mg/kg/h, followed by increments or subtractions of 0.05 mg/kg each time until a satisfactory depth of sedation was achieved and maintained for at least 30 minutes. The demographic data, anesthesia, surgery types, hemodynamics and respiratory parameters were recorded.
Results
Twenty-three patients were included for this study eventually over a year. A satisfactory depth of sedation could be achieved by a single intravenous infusion of remimazolam besylate at a loading dose of 0.02–0.05 mg/kg followed by a pump maintenance dose of 0.20–0.35 mg/kg/h. There were no significant changes in hemodynamic and respiratory parameters within 10 minutes after administration of remimazolam besylate. In addition, a significant correlation was observed between NTI and RASS for assessing sedation (r = 0.721, P༜0.001). NTI showed a prediction probability of RASS score of 0.817.
Conclusions
Remimazolam besylate was effective for mild/moderate sedation of postoperative invasively mechanically ventilated patients in ICU, while maintaining excellent respiratory and hemodynamic stability. The NTI could be used as a good tool for the objective evaluation of the depth of sedation and agitation.
Risk assessment of acute respiratory failure requiring advanced respiratory support using machine learning
Authors: Allen Angier , Zeng Cecilia , Tso Chak Foon , Singh Navan , Iqbal Zohora , Attwood Misty M , Gordon Veronica , Wang Cindy , Hoffman Jana
Published: June 2022

Background:
Acute respiratory failure (ARF) presents within a spectrum of clinical manifestations and illness severity, and mortality occurs in approximately 30% of patients who develop ARF. Early risk identification is imperative for implementation of prophylactic measures prior to ARF onset. In this study, we develop and validate a machine learning algorithm (MLA) to predict patients at risk of ARF requiring advanced respiratory support.
Methods:
This retrospective study used data from 155,725 patient electronic health records obtained from five United States community hospitals. An XGBoost classifier was developed using patient EHR data to produce risk scores at 3-hour intervals to predict the risk of ARF within 24 hours. An alert was generated only once prior to ARF onset, defined by implementation of advanced respiratory support, for patients whose risk score exceeded a predefined threshold. We used a novel time-sensitive area under the receiver operating characteristic (tAUROC) curve that integrated the timing of the alert relative to ARF onset to evaluate the accuracy of the MLA. The MLA was assessed on two testing sets and compared with oxygen saturation (SpO2) measurement and the modified early warning score (MEWS).
Results:
The MLA demonstrated significantly higher eSensitivity and specificity operating points on the temporal testing and external validation sets (tAUROC of 0.858/0.883, respectively) than SpO2 (0.771/0.810) and MEWS (0.676/0.774) for prediction of ARF requiring advanced respiratory support. The MLA also achieved lower false positive rates than SpO2 and MEWS at these operating points.
Conclusions:
The MLA predicts patients at risk of ARF requiring advanced respiratory support and achieves higher accuracy and produces earlier alerts than the use of SpO2 or MEWS. Importantly for clinical practice, the MLA has a lower false positive rate than these comparators while maintaining high sensitivity and specificity.
A Deep CNN Approach for Islanding Detection of Integrated DG with Time Series Data and Scalogram
Authors: Reddy Ch Rami , G B Srikanth , Kalyan Ch Naga Sai , Va P Srinivasa , Kumar D Ravi , Kumari B Seshu , Kondalu M
Published: June 2022

The ever increasing demand of electricity leads to the advancement of Distributed Generation (DG). Almost the DG sources are renewable in nature. One of the major complications with high penetration of DG sources is islanding. The islanding may damage the clients and their equipment. As per the IEEE 1547 DG interconnection standards, the islanding will be identified in a period of two seconds and the DG must be turned off. In this paper an advanced islanding detection process stand on deep learning technique with Continuous Wavelet Transforms (CWT) and Convolution Neural Networks (CNN) is implemented. This approach basically transformes the time series information into scalogram images, later the images are used to train and to test the islanding and non islanding events. The outcomes are correlated with the Artificial Neural Networks (ANN) and Fuzzy logic methods. The comparison shows that the proposed deep learning approach efficiently detects the islanding and non islanding events.
Unilateral angle-closure glaucoma in combination with neurofibromatosis: a case report
Authors: Jiang Mingming , Zhang Jing , Wan Xiaomei , Ding Yichao , wang yuan
Published: June 2022

Background: Neurofibromatosis I(NFI) is an autosomal dominant genetic disease that causes multi-system damage. It is rare have both angle-closure glaucoma and NF, especially in pediatric patients. We report a case of unilateral angle -closure glaucoma with NFI.Case presentation: A 5-year-old girl accompanied by a large subcutaneous soft mass and multiple coffee-milk spots scattered presented with low vision ,increased IOP and angle-closure in her right eye. Slit-lamp examination demonstrated multiple Lisch nodules in both eye. In her right eye, Ectropion uveae were observed at the top and bottom margins of the pupi. There were no abnormalities on MRI of skull and orbit. Finally ,trabeculectomy was performed on the right eye, after which the right eye showed a stable IOP.Conclusions: The incidence of NFI with angle-closure glaucoma is low and clinically rare. Early diagnosis and treatment can generally achieve good results, but the long-term efficacy still needs further follow-up, especially the contralateral eye.
Microstructure and Corrosion Behavior of Friction Surfaced 304L Austenitic Stainless Steels
Authors: Agiwal Hemant , Sridha Kumar , Pfefferkorn Frank , Yeom Hwasung
Published: June 2022

Friction surfacing is a solid-state deposition process that provides microstructural and mechanical property benefits over fusion-based deposition methods as a result of the lower heat input and hot working. The study examines microstructure and corrosion properties for friction surfaced 304L stainless steel consumable rods on 304L stainless steel substrates. Microstructural characterization revealed fine-grained microstructure with distributed strain-induced martensite and high residual compressive stresses. Corrosion studies of friction surfaced specimens were carried out by exposure to FeCl3 and MgCl2 solutions per ASTM G48 and ASTM G36 standards, respectively. The corrosion tests showed friction surfacing led to shallower and smaller pits than the uncoated substrate, however, the pit number density was higher in the friction surfaced specimens. The microstructural transformations during friction surfacing are beneficial to mitigating pitting corrosion and potentially chloride-induced stress corrosion cracking (CISCC).
Iron oxide (Fe2 O3 ) nanoparticles alleviate PEG-simulated drought stress in grape (Vitis vinifera L.) plants by regulating leaf antioxidants
Authors: Bidabadi Siamak Shirani , Sabbatini Paolo , VanderWeide Josh
Published: June 2022

Iron nanoparticles (Fe NPs) have a wide array of biological and medical applications. In agriculture, Fe NPs have the potential to be used as an innovative technique to alleviate Fe deficiency in various crops, such as grape. However, the effect of Fe NPs on alleviating stresses in grapevine are unexplored. The aim of this study was to evaluate the efficiency of Fe NPs in protecting ‘Asgari’ seedless grape (Vitis vinifera L.) against oxidative stress induced by polyethylene glycol (PEG)-induced drought exposure. Here, we compared six concentrations of Fe NPs to both well-watered and drought-stressed grape plants and evaluated physiological and biochemical parameters in leaves after 30-days of exposure. Our results revealed that physiological indices of plant health such as chlorophyll content, chlorophyll fluorescence (Fv/Fm), and leaf relative water content (RWC) decreased with increased production of H2O2 caused by drought stress. MDA, proline, non-enzymatic (e.g. AsA and GSH) and enzymatic antioxidants (including MDHAR, DHAR, CAT, GPX, GR and GST) exhibited varied responses. Increasing levels of Fe NPs up to 10 µM caused an increase in chlorophyll content and fluorescence under PEG-induced drought stress. Moreover, Fe NPs induced antioxidant protection by reducing MDA and H2O2 generation, and enhancing the concentration of the non-enzymatic antioxidants, such as GSH/GSSG ratio and ascorbate. Enzymatic activities reported a wide response range, with increases to CAT, GPX, GR, MDHAR and DHAR activities and decreases to GST and APX activities. In conclusion, this study demonstrated that Fe NPs have the potential to be used as an effective method in reducing the negative impact of drought stress in grapevine.
Phylogrouping and pathogrouping of Potato virus Y isolates from pepper plants in Turkey
Authors: TOPKAYA Serife , Gibbs Adrian J
Published: June 2022

Potato virus Y (PVY) causes yield loss of pepper (Capsicum) crops worldwide, but little is known of its molecular diversity in pepper in Turkey or elsewhere. During 2016 and 2017, pepper crops were surveyed in three different provinces of Turkey, and plants with virus-like symptoms were collected. Four hundred and twenty one samples were collected and 35 found to be infected with PVY by DAS-ELISA using PVY-specific antisera. The positive samples were tested by RT-PCR and viral genes of some were sequenced. Conventional comparisons indicated that eight of the isolates were probably from phylogroup C, and three from pathogroup N-Wi, which is part of phylogroup R1. Other methods of using sequence data were tested in an attempt to identify how PVY, a multiply recombinant virus, can be most economically phylogrouped; one using Genbank searches and a database of over 600 PVY complete genomic ORF sequences was found to be effective and objective. The same data confirmed that sequencing the P1 and CP genes is more cost effective for phylogrouping PVY than other gene combinations. This is the first report of recombinant PVY isolates in pepper plants in Turkey.
Choice, Attitudes, and Perceptions of Undergraduate Nursing Students towards the Nursing Profession
Authors: Neumbe Irene Mildred , Ssenyonga Lydia , Soita David Jonah , Iramiot Jacob Stanley , Rebecca Nekaka
Published: June 2022

Background: Nursing students are the upcoming contributors to the nursing workforce and their attitudes towards the profession depict the quality of care they will offer to patients upon qualification. This study aimed to determine the reasons for choice, attitudes, and perceptions of undergraduate nursing students towards their profession.Methods: This cross-sectional study involved 165 nursing students from year one to year four registered in the two public universities in Uganda. The Attitude Scale for Nursing Profession was used to collect quantitative data. Focus Group Discussions were held to collect qualitative data about the reasons for choice and perceptions towards the nursing profession.Results: Students chose the nursing program because of its availability, poor academic performance in high school, desire to pursue a medical-related course, failure to get admitted for Medicine and Surgery, low cut-off points for the Nursing course, and interest in nursing. The majority of the students (81.8%) had positive attitudes towards the nursing profession. There was a statistically significant difference between the mean attitude scores of nursing students according to the year of study, entry scheme into the University, and source of funding for the program. Perceptions about the nursing profession were based on their personal experiences, experiences of colleagues, and observation of how nurses are treated at work. Conclusion: Although nursing students had positive attitudes towards the nursing profession, the majority of their perceptions about the profession were negative.Nursing training institutions should ensure that students receive pre-nurse counseling and introductory courses about the profession to enhance the acquisition of an accurate perception of the nursing profession.
Estrogen related receptor β mediated regulation of SIRT1 in breast cancer progression
Authors: Naik Sanoj K , Prakash Surya , Krishna B. Madhu , Parija Monalisa Parija , Dash Sanghamitra , Choudhury Sanjib , Mishra Dipti Ranjan , Sahoo Shashi Bhusana , Mishra Sandip K K
Published: June 2022

Silent mating type information regulation 2 homolog 1 (SIRT1) is an NAD+ dependent class III histone deacetylase (HDAC) which plays a vital role in cell survival, senescence and metabolism. SIRT1 is overexpressed in several cancers, including breast cancer. Due to the lack of endocrine therapy for ER-ve breast cancers, it is essential to identify the molecular targets having therapeutic importance. SIRT1 is a known target gene of estrogen receptor α (ERα) and well associated with ERα deacetylation. Transcription factor Estrogen related receptors (ERRs) share sequence homology with ERs in DNA binding domain, therefore possibility of sharing target genes between them is high. Our present study aim to elucidate the role of ERRβ in the regulation of SIRT1 in breast cancer tumorigenesis. SIRT1 was highly up-regulated in ER + ve breast cancer cells and tissues. Analysis of 5’ upstream region of SIRT1 suggested the presence of six putative ERRE sites and in-vitro and in-vivo studies confirmed the binding of ERRβ to them. We found SIRT1 to be up-regulated in ERRβ overexpressed ER + ve breast cancer cells. Furthermore, our results suggested the up-regulation of SIRT1 upon ectopic expression of ERRβ along with PCAF. We also proved the tumorigenic role of SIRT1 with enough evidence showing the significant role of SIRT1 in cell proliferation, migration and colony formation capacity. Collectively our results suggest the tumorigenic role of SIRT1 in the breast cancer and SIRT1 inhibitors might serve as potential therapeutic drugs for the treatment of breast cancer.
Extension of the Composite Quality Score (CQS) as an appraisal tool for prospective, controlled clinical therapy trials (Preprint.v.2)
Authors: Mickenautsch Steffen , Rupf Stefan , Miletić Ivana , Yengopal Veerasamy
Published: June 2022

Aim: to conduct a survey of current meta-epidemiological studies to identify additional trial designcharacteristics that may be associated with significant over/under estimation of the treatment effectand to use such identified characteristics as basis for the formulation of new CQS appraisal criteria.Materials and methods: We retrieved eligible studies from two systematic reviews on this topic(latest search May 2015) and searched the databases PubMed and Embase for further studies fromJune 2015 – March 2022). All data were extracted by one author and verified by another. Sufficientlyhomogeneous estimates from single studies were pooled using random-effects meta-analysis. Trialdesign characteristics associated with statistically significant estimates from single datasets (whichcould not be pooled) and meta-analyses were used as basis to formulate new or to amend existingCQS criteria.Results: A total of 38 meta-epidemiological studies were identified. From these, seven trial designcharacteristics associated with statistically significant over- or under estimation of the truetherapeutic effect were found.Conclusion: One new criterion concerning double blinding was added to the CQS and the originalcriteria for concealing the random allocation sequence and for minimum sample size amended.
Glycyrrhizic Acid alleviate the Neurotoxicity of Semen Strychni through inhibition of HMGB1 phosphorylation and inflammatory
Authors: Yu Changwei , Xiang Yalan , Zhang Min , Wen Jing , Duan Xiaoyu , Wang Lu , Deng Gongying , Fang Pingfei
Published: June 2022

Backgrounds : In recent years, the neurotoxicity of Semen Strychni was reported in many clinical cases. Hence，this study was conducted to investigate the role of HMGB1 in the model of neurotoxicity induced by Semen Strychni and the alleviation of glycyrrhizic acid, which is related to the regulation of HMGB1 release. Methods: The rats were intraperitoneally injected with Semen Strychni extract (175mg/kg), followed by oral administration ofglycyrrhizic acid (50 mg/kg) for 4 days. After treatment, neuronal degeneration, apoptosis, and necrosis were observed by Nissl, FJB, and Tunel. ELISA was used to detect related inflammatory indicators TNF-α, IL-1β, HMGB1, and neurotransmitter enzymes MAO, AChE. IF and Western Blot were used to determine the localization of HMGB1, p-HMGB1, and NF-κB in the nucleus and cytoplasm; CO-IP was used to determine the interaction between PP2A, PKC, CaMKIV and HMGB1. The expression of ERK, p-ERK, JNK, p-JNK, p38, p-p38, was detected by Western Blot . Results: After neurotoxic model rats were treated with glycyrrhizic acid neuronal damage and apoptosis were improved to a certain extent, the inhibitory effect of Semen Strychni on neurotransmitter metabolic enzymes was removed, and the levels of inflammatory indexes TNF-α and IL-1β were also significantly down-regulated. The results of IF and Western Blot showed that Semen Strychni reduced the nucleus level of HMGB1, significantly increased the cytoplasm and serum release levels, and increased the level of p-HMGB1, while glycyrrhizic acid could down-regulate the level of p-HMGB1, inhibit the nucleoplasmic shuttle and extracellular release process of HMGB1. Glycyrrhizic acid could strengthen the interaction between HMGB1 and PP2A and reduce the combination of HMGB1 and PKC. Glycyrrhizic acid significantly down-regulated the expression levels of p-ERK, p-JNK, and p-p38 proteins, and inhibited the transfer of NF-κB from the cytoplasm to the nucleus. Conclusions: Glycyrrhizic acid has a certain ameliorating effect on the neurotoxicity induced by Semen Strychni, and its mechanism is related to the inhibition of HMGB1 phosphorylation, the reduction of nucleoplasmic shuttle, and the inhibition of downstream inflammatory pathways of HMGB1.
Facing a serious problem: how to treat specific critical population without recommendations from current clinical practice guidelines
Authors: Chen Weiting , Zhong Li , Zheng Cheng , Ding Wenyun , Zhang Kai , Xuan Nan xia , Cao Lanxin , Tian Baoping , Cui Wei , Wang Pingli , Zhang Zhongheng , Zhang Gensheng
Published: June 2022

Objective: Some special populations are always excluded from Clinical Practice Guidelines (CPGs), the study was attempted to analyze the characteristic and categories of excluded populations from the relevant CPGs from the field of Critical care medicine (CCM).Methods: Electronic databases of PubMed and Scopus were searched from October 9, 2016 to October 9, 2020. The search strategy consisted of key terms related to critical care and guidelines. Each included CPG was examined for full text to identify the randomized controlled trials (RCTs) in the reference. Each included RCT was examined for full text to identify the excluded subjects. Required data from the eligible RCTs and all data were extracted by two reviewers.Results: A total of 33 publications of CPGs were included, consisting of 1134 recommendations including 1231 RCTs. 91.3% of RCTs had exclusion criteria. The exclusion criteria for the top five rankings in the 1231 RCTs were as follows: patients with age <18 years (37.9%), pregnant (29.5%), moribund (19.2%), surgical history (14.8%), renal impairment (14.2%). Twenty topics were finally categorized from these 33 CPGs. The top five rankings of exclusion criteria in these topics included age < 18 years (100%, 20/20), pregnant women (85%, 17/20), moribund (60%, 12/20), surgical history (30%, 6/20) and renal impairment (30%, 6/20).Conclusion: CPGs from the field of critical care medicine (CCM) always exclude some special populations including who are age <18 years, pregnant women, moribund, surgical history, and renal impairment, while these kinds of populations are needed more attention.
Determine the complete configuration of single carbon nanotubes by one photograph of transmission electron microscopy
Authors: Yu Yue , Zhao Yifan , Wang Shanshan , Liu Weiming , Zhao Chao , Ding Feng , Zhang Jin
Published: June 2022

Complete structural determination of single walled carbon nanotubes (SWNTs), including chiral indices (n,m) and handedness, is significant for their full functionality exploration. However, handedness identification at the atomic level in real space imaging without sample tilting is challenging. Here, we apply aberration-corrected transmission electron microscopy to characterize artificially constructed SWNTs/graphene (Gr) vertical heterostructures with aligned interfaces. The lattice of the SWNT upper and lower walls can be distinguished separately, thus unclosing the handedness, which is a 3D structural feature, in projected 2D space. Gr displays prominent out-of-plane deformation at the interface, remarkably promoting the energetic advantage for the aligned interface construction with diversified alteration to the electronic structure of SWNTs based on density functional theory calculations. 27 specimens with SWNTs prepared by two disparate methods are examined, implying potential handedness enrichment in SWNT horizontal arrays grown on a-sapphire. Our work provides a facial strategy for chiral discrimination with sub-angstrom resolution and lays a characterization foundation for handedness-selective growth of nanomaterials.
Comparison of Peripapillary Vascular Density Measured by Optical Coherence Tomography Angiography in Different Open-Angle Glaucoma Types
Authors: Simsek Merve , Oral Yesim , Inan Sibel , Akdogan Muberra , Sabaner Mehmet Cem
Published: June 2022

Purpose: In this study, we aimed to found whether there is a difference between the primary open-angle glaucoma (POAG), pseudoexfoliative glaucoma (PXG) and pigmentary glaucoma (PG) cases, which are open-angle glaucoma types, or not, in terms of peripapillary retinal nerve fibre layer (RNFL) and peripapillary vascular density measured by optic coherence tomography angiography (OCTA). Methods: 27 eyes of 27 patients with diagnosed POAG, 34 eyes of 34 patients with diagnosed PXG, 20 eyes of 20 patients with diagnosed PG who went to the glaucoma unit between June 2019 and January 2020 and 15 eyes of 15 healthy individuals without ocular pathology were included in our retrospective, cross-sectional study except for presbyopia in the control group and ± 1.0 D refractive error. Peripapillary RNFL measurement was performed with OCTA, and small vessel density measurements were performed with all images (AI-DD), intra-disc (ID-DD) and peripapillary (PP-DD) for the finding of vascular density in the radial peripapillary capillary network. Kruskal Wallis test and post hoc test were performed for statistical analysis. Results: There was no statistically significant difference between the groups in terms of age and gender. AI-DD was 50.83±2.03% in the healthy group, 47.12±2.57% in primary open-angle glaucoma, 39.71± 6.64% in pseudoexfoliative glaucoma, and 43.37±1.55% in pigmentary glaucoma. ID-DD was 51.61± 3.68% in the healthy group, 49.51 ± 6.83% in primary open-angle glaucoma, 38.42±13.46% in pseudoexfoliative glaucoma, and 40.9±4.45% in pigmentary glaucoma. PP-DD was 52.62±2.65% in the healthy group, 50.13 ± 3.04% in the primary open-angle glaucoma, 42.31 ± 7.31% in the pseudoexfoliative glaucoma, and 47.6±1.40% in the pigmentary glaucoma group. While it was found that all image and intra-disc small vascular density measurements were statistically significantly lower in the pigmentary glaucoma and pseudoexfoliative glaucoma group compared to the healthy group and the primary open-angle glaucoma group (p<0.001), there was no significant difference between PXG and PG and between the control group and the POAG group. Conclusions: Being lower radial peripapillary capillary density in PXG and PG compared to the POAG and healthy group suggests that the blood flow around the optic disc is negatively affected in these patients.
Biocontrol Agents of Bacillus velezensis wr8 against Penicillium sp
Authors: Wang Rui , Wang Xiaohu , Weng Yuting , Lan Baofeng , Zhou Liqin , Yang Hui
Published: June 2022

Blue mold caused by Penicillium sp is one of the most serious postharvest diseases of citrus fruit. The aim of this study was to isolate and identify native Bacillus with inhibition phenotypes of citrus plants fruits. We investigated the antifungal effect of Bacillus velezensis wr8 on the postharvest pathogens Penicillium sp inoculated on fruits, as well as on the growth of these fungi on Petri dishes with defined media. MALDI-TOF MS was conducted to illuminate the underlying mechanism. Results showed that Bacillus velezensis wr8 significantly inhibited Penicillium sp growth in vitro. Moreover, secondary metabolites suppressed the disease development of citrus fruits inoculated with Penicillium sp in 25℃. Furthermore, MALDI-TOF MS indicated that lipoprotein with the molecular mass of 30.2 kDa was a key component about against Penicillium sp. In addition, the secondary metabolites with antibacterial activity against Escherichia coli showed antimicrobial peptide with the molecular weight of 9.8 kDa. These results demonstrated that Bacillus velezensis wr8 could produce lipoprotein and antimicrobial peptide to inhibit Penicillium sp and Escherichia coli which has broad application prospect in the future development. Finally, Bacillus velezensis wr8 is to provide data support for the development and utilization of high activity bacteriocin at room temperature and its application in the field of food safety.
Long Term Use of Social Networking Sites by Nepali CSOs
Authors: Regmi Nischal , Pandey Shailesh
Published: June 2022

We examine whether the nonprofits in Nepal and India have used Twitter effectively to keep their stakeholders engaged with them in the long-term of around five years. We also examine how the nonprofits can be classified according to their long-term tweet behavior. We introduce a two-step process for tweet classification that considers both the nonprofits’ tweets and their targeted audience, and apply the k-means algorithm to observe the clusters of nonprofits according to their long-term Twitter use. Our exploratory analysis shows that the majority of nonprofits in Nepal and India have not used Twitter with an objective of keeping their stakeholders engaged. We end by suggesting a few research questions that need to be answered for a better understanding of SNS use by nonprofits.
A whole high-accuracy numerical calculation system for the 1D Poisson equation by the interpolation finite difference method
Authors: Fukuchi Tsugio
Published: June 2022

The interpolation finite difference method (IFDM) allows free numerical analysis of elliptic partial differential equations over arbitrary domains. Conventionally, in the finite difference method (FDM), the calculation is performed using the second-order accuracy central difference. For engineering problems, second-order accuracy calculations are often sufficient. On the other hand, much research has been done on improving the accuracy of numerical calculations. Although there is much research in the field of FDM, the development of numerical calculations by the spectral method is decisive in improving calculation accuracy. Numerical calculations are usually performed by double precision calculations. If double precision calculations ensure 15 significant digits in floating point computing, such numerical calculations will be the ultimate goal to reach. A numerical calculation that does not seem to have an error even though it originally has an error is defined as a virtual error-zero (VE0) calculation. In this paper, we will examine an overall picture of high-accuracy numerical calculation by IFDM in the numerical calculation of the 1D Poisson equation. It becomes clear that a VE0 calculation is always possible in the numerical calculation method defined as the compact interpolation finite difference scheme (CIFD(m)).
Fake Currency Detection Using Image Processing
Authors: Kudalkar Sourabh , Patil Pratik , Shirdhone Niranjan
Published: June 2022

Fake currency has always been an issue that has created a lot of problems in the world. Every country has been badly affected by this which has become a major problem. Moreover, it makes the domestic currency lose out its credibility in the global market. Thereby triggering adverse socioeconomic impacts. Counterfeit currency is also usually associated with terror financing. According to an RBI report, fake notes of the new Rs 500 series saw a 37% rise in 2019-20, and there was a fall in circulation of Rs 2000 notes. The increasing technological advancements have made the possibility of creating more counterfeit currency. Fake currency has always been an issue that has created a lot of problems in the world. Every country has been badly affected by this which has become a major problem. Moreover, it makes the domestic currency lose out its credibility in the global market. Thereby triggering adverse socioeconomic impacts. Counterfeit currency is also usually associated with terror financing. According to an RBI report, fake notes of the new Rs 500 series saw a 37% rise in 2019-20, and there was a fall in circulation of Rs 2000 notes. The increasing technological advancements have made the possibility of creating more counterfeit currency.
Research on IGOA-LSSVM based fault diagnosis of power transformers
Authors: Chen Yunsheng
Published: June 2022

Power transformer is an important part of power equipment, and its functionality affects the proper operation of the whole power network. In order to diagnose power transformer faults effectively, the authors propose a fault diagnosis strategy based on an improved locust optimization algorithm for least squares vector machines (IGOA-LSSVM). Firstly, it was required to address the problem that the diagnostic prediction accuracy of the least squares vector machine is reduced due to its parameters. So this paper introduces the locust optimization algorithm with simple algorithm structure and good performance for optimizing the parameters. And at the same time, the authors generate an improved locust optimization algorithm with self-learning factors, proportional weight coefficients and Levy flight strategy. Secondly, the improved locust optimization algorithm is used for optimizing the least squares vector machine parameters. Finally, in the simulation experiments, the results of the benchmark test function illustrate that the IGOA algorithm has better performance, and the test results of a fault samples diagnosis of the power transformer equipment illustrate that the IGOA-LSSVM has good prediction effect and improves the fault identification accuracy compared with ACO-LSSVM and PSO-LSSVM in five types of fault diagnosis.
Percepções de estudantes de Pedagogia ao atuarem como estagiárias com crianças com deficiência
Authors: Bernardo Renata , Mendes Nacarato Adair
Published: June 2022

Este artigo trata-se dos resultados de uma pesquisa de pós-doutoramento em Educação, que busca identificar os desafios da iniciação docente de estudantes universitários que ingressam no curso de licenciatura de Pedagogia e, logo nos primeiros semestres de formação, são contratados pelos sistemas municipais de ensino para o acompanhamento de crianças com deficiência. A produção de dados para a pesquisa se deu a partir da escrita de memoriais de formação de três estudantes universitárias do curso de Pedagogia, na perspectiva da escrita de si como possibilidade de reflexão da formação e da iniciação docente, bem como de entrevistas narrativas concedidas por elas. As experiências no estágio remunerado proporcionaram vivências que trouxeram inúmeras contribuições à formação das estudantes no que se refere ao impacto com a realidade, o afeto com a criança de inclusão e o seu desenvolvimento, e as frustrações, as aprendizagens e os limites de ser professora.
Transformation of University Structure in the Aspect of Participation in the Program of Strategic Academic Leadership ‘Priority-2030’
Authors: Shtykhno D. A. , Kulapov М. N. , Maslennikov V. V. , Kalinina I. A. , Karasev P. A.
Published: June 2022

The article studies an acute issue of university development, in particular the Russian Plekhanov University of Economics, in the context of participation in the contest of universities claiming leadership in working out new academic knowledge, technologies and innovation to be introduced in Russian economy and social sphere under the program of strategic academic leadership ‘Priority 2030’. Restructuring of the current organizational structure of governing educational and academic work acts as a fundamental trend providing implementation of the new strategic program of university development meeting the principles of ‘Priority-2030‘. After a long period of splitting education and science by vertical lines of the predominant linear-functional model, today restructuring implies their integration on the basis of a new strategic unit, i. e. higher school. Concrete advantages of higher school as a new strong point in the system of university governance were demonstrated in comparison with faculties and chairs and hyper-faculties or departments in other universities. A project mechanism of education program management was put forward, which leans on its academic leader. The authors formulated the algorithm of building the academic and educational potential of university and developed a principle scheme of the university educational and academic platform organization, illustrated by the subject field ‘Economic and Management’.
The Leading Graduate Chair of Industry Economics of the Plekhanov Russian University of Economics Celebrated its 75th Anniversary on March 31, 2022
Authors: Editorial Article
Published: June 2022

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Diversidade e redes de interação entre abelhas e plantas em áreas de várzea na Floresta Nacional (Flona) de Três Barras – Santa Catarina, Brasil
Authors: Patricia Bachniuk Kloc  , Thiago Merighi Vieira da Silva  , Daniela Roberta Holdefer  , Favízia Freitas de Oliveira  , Franciélli Cristiane Woitowicz-Gruchowski
Published: June 2022

A polinização é um serviço ecossistêmico de extrema importância no ambiente natural, garantindo muitos benefícios à biodiversidade e à manutenção dos ecossistemas. O presente trabalho teve como objetivo investigar a diversidade da apifauna e delinear as redes de interações entre espécies de plantas e abelhas em áreas de várzea, na Floresta Nacional de Três Barras (SC, Brasil). Foram selecionadas três áreas de várzeas para a amostragem de abelhas nas flores, cada uma com seis parcelas de 1 ha. As coletas ocorreram durante a primavera e o verão de 2016 e 2017. Coletaram-se 1.656 abelhas, distribuídas em 99 espécies. Apidae foi a família mais abundante e Halictidae a família mais rica em espécies. As espécies mais abundantes foram Apis mellifera scutellata, Melipona (Eomelipona) marginata, Plebeia emerina, Trigona spinipes, Rhophitulus flavitarsis, Tetraglossula sp., Scaptotrigona bipunctata, Bombus (Thoracobombus) pauloensis. As interações entre as espécies de abelhas e plantas apresentaram um padrão generalista; a rede mostrou-se significativamente aninhada e modular. A comunidade de abelhas nos campos de várzea evidenciou alta riqueza de espécies em comparação a outros levantamentos na Região Sul do Brasil, especialmente se considerarmos que a área de estudo é um ambiente mais restrito. As espécies mais abundantes foram as eussociais, as quais são diversificadas nas florestas neotropicais, com destaque para Apis mellifera scutellata, uma espécie exótica, bastante populosa e generalista.
Comportamento fenológico de Copernicia prunifera (Miller) H.E. Moore em área urbana de Parnamirim, Rio Grande do Norte
Authors: Eduarda Ximenes  , Richeliel Albert Rodrigues Silva  , Talita Geovanna Fernandes Rocha  , Fabio de Almeida Vieira  , Allan Rodrigo Nunho dos Reis  , Jefferson Dias de Oliveira
Published: June 2022

A fenologia aplicada ao ambiente urbano é uma ferramenta que permite verificar a resposta das plantas às condições ambientais atípicas das cidades e, portanto, pode atuar na conservação do patrimônio arbóreo. Objetivou-se avaliar o padrão fenológico em uma população ruderal de Copernicia prunifera, correlacionando-o com variáveis meteorológicas (temperatura, umidade relativa do ar, precipitação e velocidade do vento). Foram analisados quinzenalmente 29 indivíduos na Praia de Cotovelo (Parnamirim/RN), entre outubro de 2011 e abril de 2013. Os eventos avaliados foram: enfolhamento, botão floral, floração, frutos imaturos e maduros. Verificaram-se o percentual de intensidade de Fournier e o índice de atividade para cada fenofase, que foram posteriormente correlacionados com parâmetros meteorológicos por meio da correlação de Spearman (Cs ) do programa estatístico BioEstat 5.3. O brotamento foliar manteve-se constante, corroborando a boa adaptação da espécie a climas áridos e semiáridos. Observaram-se correlações positivas entre a produção de frutos maduros e precipitação (Cs1 = 0,398, Cs2 = 0,549, Cs3 = 0,464, Cs4 = 0,533), em que a água, nesse caso, é um fator limitante para o desenvolvimento de frutos carnosos. Os aspectos morfológicos e fisiológicos da população de C. prunifera estudada foram influenciados pelos fatores climáticos regionais.
Ocorrência da espécie exótica Bubulcus ibis (Linnaeus, 1758) (Aves, Ardeidae) no município de Ribeira do Pombal, Bahia, Brasil
Authors: Dráuzio Correia Gama  , Favízia Freitas de Oliveira  , José Monteiro do Nascimento Júnior  , Janisson Batista de Jesus  , Juan Manuel Ruiz Esparza Aguilar  , Mílton Marques Fernandes
Published: June 2022

O estabelecimento de uma espécie exótica numa região, mesmo quando verificada como residente, gera diversas preocupações ambientais, econômicas e de saúde. A espécie Bubulcus ibis (Aves, Ardeidae), conhecida popularmente como garçavaqueira, possui ocorrência marcante no semiárido do nordeste brasileiro, sendo encontrada em agrupamentos de ninhos construídos em árvores de pequeno porte, formando também grupos para forrageamento junto ao gado bovino. O presente trabalho teve como objetivo verificar a espécie B. ibis no município de Ribeira do Pombal (Bahia) quanto ao seu comportamento de forrageamento e nidificação local. Os grupos foram registrados com o número de indivíduos estimado e os locais de observação georreferenciados, com auxílio de aparelho GPS, em trabalho de campo realizado no período de maio a outubro de 2015, entre os horários das 7h às 12h e das 14h30 às 18h. Foram computados 34 pontos de ocorrência da espécie, com um total de 2.471 indivíduos distribuídos nas atividades: forrageamento (1.546), repouso (137) e em sítio de reprodução (788). A espécie ocorre no município sempre em bando, em caráter temporário, com distribuição dispersa em grande parte do território, independentemente do estado de conservação ou antropização do ambiente ocupado.
Preparation and Quality Evaluation of Honokiol Nanoparticles Using a
New Polysaccharide Polymer as its Carrier
Authors: Xiong Yang , Weng Ye , Zhang Hongyan , Xu Shujun , Zhao Yue , Ma Lisha , Shi Jingbin , Qian Ke , Liang Weizong
Published: June 2022

Objective:

To improve solubility of Honokiol (HNK), Honokiol nanoparticles (HNK-NPs) were prepared by using a new biodegradable polysaccharide polymer as its carrier.

Methods:

HNK-NPs were prepared by hydrophilic polymer coagulation method, and the processing parameters were optimized according to average particle size and PDI by single factor experiment. The morphology of the optimized nanoparticles was investigated by TEM and the in vitro release was carried out to evaluate the optimized HNK-NPs.

Results:

The encapsulation efficiency and drug loading of the HNK-NPs were 77.75 ± 2.63% and 13.46 ± 0.39%. The obtained nanoparticles of HNK-NPs were spherical-like under the electron microscope with a mean particle size of 198.50 ± 0.01 nm and Zeta potential of −52.60 ± 1.00 mV, respectively. The in vitro release results showed that the cumulative release rates of nanoparticles were 48.28 ± 9.80% and 81.12 ± 4.35% within 2 h and 8 h, respectively which showed a stable release behavior. The average particle size and PDI of HNK-NPs solution prepared by hydrophilic polymer condensation method had no obvious change at 72h.

Conclusion:

HNK-NPs were successfully prepared by phase separation method. This new polysaccharide polymer should be an ideal carrier to help improving the solubility of HNK.
Escrita andarilha. Nietzsche e a literatura contemporânea de língua portuguesa
Authors: Trevizan Suelen Ariane Campiolo
Published: June 2022

Ao enfatizar a historicidade de certos valores predominantes em sua época, Friedrich Nietzsche questionava a aura de universalidade que revestia a cultura europeia moderna e seus agentes. Sua crítica à metafísica contribuiu para detonar uma crise epistemológica que atravessou o século XX e segue em curso até hoje. Embora seu legado nas ciências humanas seja amplo e variado, este artigo traz para o primeiro plano exemplos de como esse diálogo ocorre na literatura contemporânea de língua portuguesa. Com isso, procura-se observar a especificidade de como algumas obras respondem ao filósofo. O corpus selecionado contempla quatro textos: O livro das comunidades, de Maria Gabriela Llansol; “O mundo estranhado: esboço de filosofia fisionômica”, de Juliano Garcia Pessanha; “Duas pessoas”, de Herberto Helder; e “Floema”, de Hilda Hilst. Nos dois primeiros, analisamos como reelaboram a ideia nietzschiana do eterno retorno; nos dois últimos, o perspectivismo. Em vez de se estabelecerem generalizações e consensos, destacamos os diversos acenos que fazem à vivência e à escrita entendidas como singular transformação. Em suma, essas expressões literárias afastam-se de um viés substancialista para se manifestar como performance, daí sua estrutura móvel, andarilha.