bluuebunny/crossref_metadata_2025_split huggingface dataset:
Immunohistochemical Analysis of Soft Tissue Response to Polyetheretherketone (Peek) and Titanium Healing Abutments on Dental Implants: a Randomized Pilot Clinical Study
Authors: Milinkovic Iva , Krasavcevic Ana Djinic , DDS Sasha Jankovic , Sopta Jelena , DDS Zoran Aleksic 
Published: September 2022

AbstractBackground.The data on polyetheretherketone (PEEK) influence on the peri-implant soft tissues in clinical settings are deficient. The aims of this pilot study were to analyze and compare soft tissues’ response to PEEK and titanium (Ti) healing abutments (HA) by means of histological and immunohistochemical analyses.Methods.A total of 22 implants with PEEK or Ti HA were placed in 11 patients, applying the “split-mouth” study design. Three months later, soft tissue specimens were harvested from 20 implants for histology in order to qualitatively detect the inflammatory cells’ presence, to semi-qualitatively analyze the inflammation intensity and to assess the inflammatory responses type by immunohistochemical analysis using LCA, CD3, CD20 and CD68 antibodies.Results.Epithelial infiltrate followed by an intensive inflammation in sub-epithelium was observed in 100% around PEEK HA. A number of LCA + and CD 68 + cells was significantly higher in PEEK comparing to Ti group (p = 0.001 and p = 0.020, respectively), while CD 20 + and CD3 + counted cells were found in a significantly higher amount in Ti than in PEEK group (p = 0.006 and p = 0.010, respectively).Conclusion.PEEK HA seems to evoke the more intense tissue inflammatory response demonstrated predominantly by histocytes’ and plasmacytes’ activation, while Ti HA triggers the inflammatory reaction of lower intensity, dominantly mediated by B-cells.The study registered at ClinicalTrials.gov (NCT04436939).
Health risk assessment and removal efficiency of typical opportunistic pathogens by advanced reclaimed water treatment process
Authors: Sun Lihua , Xi Zixuan , Tong Hao , Zhang Muxi 
Published: September 2022

Abstract
In this study, two combined processes of coagulation sedimentation-NaClO disinfection and coagulation sedimentation-Ultrafiltration(UF)-NaClO disinfection were used as deep treatment processes. To explore the removal effect and mechanism of the combined process on Legionella, Pseudomonas aeruginosa, Mycobacterium avium and Escherichia coli in the secondary effluent. Taking Beijing Olympic Forest Park as the evaluation scene of reclaimed water landscape reuse, the health risk assessment were carried out on the opportunistic pathogens. The results showed that the combined process of coagulation sedimentation-UF-NaClO had a good removal effect on Legionella, Pseudomonas aeruginosa, Mycobacterium avium and Escherichia coli, the removal rates were 99.8%, 98.6%, 99.4% and 99.1%, respectively. There was a significant positive correlation between the concentration of Escherichia coli in the secondary effluent and the three opportunistic pathogens, but the correlation between the concentration of Escherichia coli in the effluent and the three opportunistic pathogens was no longer significant after the two combination processes. After secondary effluent coagulation and sedimentation-UF-NaClO disinfection and reuse for urban landscape leisure activities, the single exposure infection probability of the three opportunistic pathogens is the lowest, and the safety rate of human health can reach from 70.9–100.0%.
Biofilm induced corrosion inhibition of Q235 carbon steel by anaerobic Bacillus cereus inoculum in simulated cooling water
Authors: Hu Yanglin , Chen Chuanmin , Liu Songtao , Zhou Yingran , Jia Wenbo , Cao Yue 
Published: September 2022

Abstract
In this study, corrosion behavior of Q235 carbon steel (CS) under Bacillus cereus (B. cereus) inoculum in simulated cooling water was evaluated. Weight loss study proved B. cereus inoculum possessed anti-corrosion efficiencies of 92.84% and 73.88% for 3 d and 14 d rotation tests respectively. The electrochemical measurements indicated added B. cereus inoculum increased the charge transfer resistance and reduced corrosion current density. The B. cereus cells with strong biofilm-forming capacity were able to adhere onto Q235 CS surface to form compact biofilms and cause biomineralization. Surface characterization analysis demonstrated the presence of B. cereus inoculum reduced the amount of Fe2O3 and simultaneously increased the amount of CaCO3 in corrosion products. The corrosion inhibition mechanisms of B. cereus inoculum involve forming biofilm, generating biomineralized layer, and consuming dissolved oxygen. Thus, B. cereus inoculum provides a biological strategy for the industrial cooling water anti-corrosion application.
Decoupling factor, aerodynamic and canopy conductances of a hedgerow olive orchard under Mediterranean climate
Authors: Rana Gianfranco , De Carolis Gabriele , Gaeta Liliana , Ruggeri Sergio , Ferrara Rossana 
Published: September 2022

Abstract
The degree of coupling between canopy and atmosphere, through the decoupling factor Ω, well describe the behaviour of a crop with respect to its water use and carbon dioxide exchange. Super high density hedgerow olive orchard system is in great expansion all over the world and, since it has a complex field structure in rows of adjacent trees, investigations are necessary to assess the Ω patterns, as well as aerodynamic (ga) and canopy (gc) conductances in different water conditions. In this study, in a hedgerow olive orchard (cv. “Arbosana”) submitted to full (FI) and regulated deficit irrigation (RDI), cropped under Mediterranean semi-arid climate (southern Italy), Ω has been determined using gc, as deduced by inverting the Penman-Monteith equation, and ga, by upscaling the wind speed measured in a close station to the canopy; the transpiration has been measured by sap flow thermal dissipation method. The results showed that this olive orchard results very well coupled to the atmosphere, in any soil water conditions; Ω is generally very low, being equal in mean to 0.015 ± 0.008 and 0.019 ± 0.012 for FI and RDI, respectively. This condition is linked to ga and gc values; in fact, canopy conductance is much smaller than the aerodynamic one in any water and climatic conditions, except when all canopy surfaces are saturated in water. In this latter case, the gc assumes highest values due to the contribution of the part of conductance attributable to the structure of the orchard.
Apatite ore-based nanostructures: novel and eco-friendly sorbent for efficient removal of wastewater containing Pb2+ and Fe3+
Authors: Phuong Nguyen Thu , Nam Nguyen Hong , Hong Cao Thi , Dac Dang Vu Quy , Thu Le Phuong , Hai Do Thi , Osial Magdalena , Giersig Michael , Thanh Dinh Thi Mai 
Published: September 2022

Abstract

Global challenges in removing heavy metal ions from aquatic reservoirs require novel solutions, especially the application of environmentally friendly materials. This paper presented the efficient removal of Fe3+ and Pb2+ ions from wastewater by apatite ore-based nanostructures. The synthesized material exhibited a nanostructure with high thermal stability, high porosity and negative surface potential, suitable for heavy metal removal in wastewater. The adsorption measurements performed in varying conditions (pH, mass of the adsorbent, and contact time onto the adsorbent) proved that even a few milligrams of the synthesized material could effectively absorb the lead and iron ions from the solution, reaching an effectiveness of about 90%. The maximum adsorption capacity followed the Langmuir isotherm model, estimated at 341 mg.g− 1 for Pb2+, and 1092 mg.g− 1 for Fe3+. Experiments conducted with industrial and craft-village’s wastewaters confirmed the high potential of the nanostructural chemically modified apatite as an efficient and affordable material for the removal of various pollutants from aqueous solutions in practical conditions.
BDNF-AS is a promising downregulated biomarker for the diagnosis in different disease types in multiple sclerosis
Authors: Kamal Ahmed , Swellam Menha Mahmoud , Shalaby Nevin Mohieldin , Darwish Marwa Kamal , El-Nahrery Islam 
Published: September 2022

Abstract
Multiple sclerosis (MS) is an autoimmune demyelinating disease of the central nervous system and the most common neurological disease in young adults, affecting more than 2.5 million people worldwide. The disease progression is likely to be the result of neurodegeneration. Numerous therapies that have emerged to treat relapsing forms of MS have been unsuccessful in slowing or halting progressive forms of the disease, during which inflammatory activity is replaced by axonal loss and atrophy. BDNF-AS is a type of long non-coding RNAs that has a negative transcriptional regulation over the neurotrophin BDNF, which is known to be highly expressed in actively demyelinating MS lesions and which has a function in neuron survival and plasticity necessary for neuroprotection during inflammation. BDNF has been shown to be low in older and chronic MS plaques, which could be a contributing factor to the ongoing degenerative changes in the chronic progressive stages of MS. However, few studies have investigated the role of BDNF-AS and how it may contribute to the role of BDNF in MS. Therefore, we studied the relative expression of BDNF-AS in the serum of patients with different disease types of MS via qRT-PCR. We found that BDNF-AS is significantly downregulated in MS as compared to controls. We also determined a relative expression cut-off of (0.31) fold change, which can be used for the diagnosis of MS with high specificity and sensitivity.
A novel algorithm to distinguish sudden cardiac death subjects from other cardiac patients and healthy individuals
Authors: Dorostghol Ali , Maghsoudpour Adel. , Ghaffari Ali. , Nikkhah-bahrami Mansour. 
Published: September 2022

Abstract
For the timely diagnosis of sudden cardiac death (SCD), selecting accurate features and increasing the specificity of the diagnosis algorithms are essential. Therefore, the HRV signal of subjects who suffered from SCD was examined in the present study. The signal has been studied in one-hour duration before the incident to obtain significant signal changes in subjects' cardiac signals. In the proposed methodology, the patient's HRV signals are divided into 5 minutes segments. Each of these segments is decomposed into four sub-signals. Afterward, the corresponding energy and instantaneous amplitude of each sub-signal are determined. Subsequently, the transfer entropy between each pair of instantaneous amplitude signals and the sample entropy of energy sub-signals are determined. The segment representing a radical change in comparison to its previous segment is detected. A support vector machine (SVM) classifier is used to identify subjects exposed to SCD, based on the hypothesis that these radical changes can be recognized as indicators of the SCD process. This methodology has the advantage of not being limited to any particular subclass of cardiac diseases. The results represent 100% and 89.47% specificity respectively for healthy subjects and cardiac patients 15 minutes before the incident.
Genetic characterization of endemic Liquidambar orientalis populations in Muğla province based on ISSR polymorphism
Authors: YÜZER ÖMER , Tonguç Alper , Doğaç Ersin 
Published: September 2022

Abstract
Liquidambar orientalis, a relict endemic species, is distributed in the south-west of Turkey. It is accepted that the species in the Altıngiace family has two varieties, L. orientalis Mill. var. integriloba Fiori and L. orientalis Mill. var. orientalis. The natural spread areas of the species have been decreasing since the early 1900s. This poses a great threat to the future and genetic diversity of the species. For this reason, it is very important to determine the genetic diversity of this species and to initiate conservation programs. In this study, the genetic diversity of a total of 190 individuals in ten populations was examined with ten polymorphic ISSR primers. Data analysis was performed using POPGENE ver. 1.32 and GenAlEx 6.503 softwares, and the phylogenetic relationship between populations was revealed using TreeView X software. According to the results of the analysis, a total of 271 loci were identified. For the ten populations, the rate of polymorphic loci ranged from 21.03–34.69%. The mean number of observed alleles (Na) and mean number of effective alleles (Ne) were found as 1.98 ± 0.13 and 1.47 ± 0.37, respectively. Nei's genetic diversity values ​​(h) ranged from 0.07 ± 0.15 to 0.12 ± 0.18. According to the results of Molecular Analysis of Variance (AMOVA) and POPGENE ver. 1.32 analysis, it was determined that the main contribution to the genetic variance originated from among the populations. In addition, the gene flow level (NM) was found to be low with a value of 0.27 per generation.
Barbel (Barbus barbus callensis) sperm parameters and oxidative stress status as bioindicators of freshwater pollution
Authors: Aberkane Boubekeur , Touazi Leghel , Bellik Yuva , Moula Nassim , Iguer-Ouada Mokrane 
Published: September 2022

Abstract
The purpose of this study was to investigate the effects of polluted Soummam River and unpolluted Agrioun River on sperm parameters and oxidative stress status of Barbus callensis spermatozoa during the spawning season in natural condition. The experimental design consisted to activate alternatively fish sperm of the two sites with the polluted (Soummam River, S) and unpolluted water (Agrioun River, A). Sperm motility duration (SMD) was measured using a stopwatch. Gametes straight line velocity (VSL), average path velocity (VAP), curvilinear velocity (VCL), spermatozoa concentration (SC), straightness (STR) and linearity (LIN) were measured by a CASA. Oxidative stress biomarkers were evaluated by measuring total antioxidant status (TAS) and catalase (CAT) activity. The results showed that the SMD and spermatozoa velocity were significantly higher in (Sm, S) than in (Ag, A) with SMD = 52 versus 42s, VSL = 23 versus 16 µm/s, VAP = 35 versus 25 µm/s, and VCL = 52 versus 35 µm/s, respectively. However, SC, STR and LIN were significantly higher in (Ag, A) than in (Sm, S) with SC = 37.5x109 versus 27x109 spz/ml, STR = 52 versus 40% and LIN = 35 versus 26%. Likewise, the oxidative status of fish spermatozoa was significantly affected by the quality activating water; TAS and CAT were significantly higher in (Ag, A) than in (Sm, S); 7.5 to 0.5 and 120 to 28 µmol/min/ml, respectively. The current investigation showed that Barbus callensis sperm motility parameters, particularly spermatozoa concentration, straightness and linearity are good bioindicators of water pollution.
Formulation based antagonistic endophyte Amycolatopsis sp. SND-1 triggers defense response in Vigna radiata (L.) R. Wilczek. (Mung bean) against Cercospora leaf spot disease
Authors: B. Dhanyakumara S. , Kumar Raju Suresh , Nayaka Sreenivasa 
Published: September 2022

Abstract

In the present work, Amycolatopsis sp. SND-1 (SND-1) was isolated from Cleome chellidonii Linn. (C. chellidonii) was performed as biocontrol and resistance elicitor in Vigna radiata (L.) R. Wilczek (mung bean) plants against Cercospora leaf spot causing pathogen Cercospora canescens (C. canescens). The SND-1 isolate showed 74% of inhibition against C. canescens in dual culture and in-vitro plant growth trials exhibited production of indole acetic acid, gibberellic acid, cytokinin, ammonia, hydrogen cyanide, and siderophore and phosphate solubilization. In-vivo study with talcum formulation of SND-1 revealed a significant increase in plant root length, shoots length, root and shoot fresh weight, and reduced the disease severity in treated mung bean plants. Triggering of resistance by SND-1 formulation was studied by histochemical depositions and biochemical defense enzymes resulted that the acceleration in defense response in comparison with control plants. The bioactive endophytic Amycolatopsis sp. SND-1 enhanced the defense against C. canescens infection; hence it can be used as a biological control agent in mung bean cultivars.
DeepST: A versatile graph contrastive learning framework for spatially informed clustering, integration, and deconvolution of spatial transcriptomics
Authors: Long Yahui , Ang Kok Siong , Li Mengwei , Chong Kian Long Kelvin , Sethi Raman , Zhong Chengwei , XU Hang , Ong Zhiwei , Sachaphibulkij Karishma , Chen Ao , Li Zeng , Fu Huazhu , Wu Min , Lina Lim Hsiu Kim , Liu Longqi , Chen Jinmiao 
Published: September 2022

Abstract
Advances in spatial transcriptomics technologies has enabled gene expression profiling of tissues while retaining the spatial context. To effectively exploit the data, spatially informed analysis tools are required. Here, we present DeepST, a versatile graph self-supervised contrastive learning framework that incorporates spatial location information and gene expression profiles to accomplish three key tasks, spatial clustering, spatial transcriptomics (ST) data integration, and single-cell RNA-seq (scRNA-seq) data transfer onto ST. DeepST combines graph neural networks (GNNs) with self-supervised contrastive learning to learn spot representations in the ST data, and an auto-encoder to extract informative features in the scRNA-seq data. Spatial self-supervised contrastive learning enables the learned spatial spot representation to be more informative and discriminative by minimizing the embedding distance between spatially adjacent spots and vice versa. With DeepST, we found biologically consistent clusters with higher accuracy than competing methods. We next demonstrated DeepST’s ability to jointly analyze multiple tissue slices in both vertical and horizontal integration while correcting for batch effects. Lastly, we used DeepST to deconvolute cell types present in ST with scRNA-seq data, showing better performance than cell2location. We also demonstrated DeepST’s accurate cell type mapping to recover immune cell distribution in the different regions of breast tumor tissue. DeepST is a user-friendly and computationally efficient tool for capturing and dissecting the heterogeneity within ST data, enabling biologists to gain insights into the cellular states within tissues.
The Agreement Between Syringing, Dacryocystography, and Dacryoendoscopy Findings in Lacrimal Duct Obstruction
Authors: Nakamura Jutaro , Kamao Tomoyuki , Mitani Arisa , Mizuki Nobuhisa , Shiraishi Atsushi 
Published: September 2022

Abstract

Purpose: We retrospectively investigated the agreement of the diagnostic findings of syringing, dacryocystography (DCG), and dacryoendoscopy in the obstruction of the lacrimal drainage system (LDS). Methods: We examined 113 patients (211 LDS) who underwent syringing, DCG, and dacryoendoscopy for preoperative evaluation of LDS obstruction. Obstruction was compared by classifying the grade and the site of obstruction into three levels, respectively. The diagnostic agreement between the tests was assessed by determining the weighted Kappa value. Results: 25 male (49 LDS) and 88 female patients (162 LDS) were included in this study. LDS obstruction was observed in 77.4% of the cases by syringing, 60.0% by DCG, and 81.3% by dacryoendoscopy. Regarding the agreement in the obstruction grade, Cohen's Kappa value for DCG and dacryoendoscopy was 0.65 (95%CI: 0.56–0.74). Meanwhile, the DCG and dacryoendoscopy showed consistency in the site of obstruction in 77.9% of the cases. DCG found no obstruction in 38.4% of all cases, whereas 47.9% of them showed stenosis or obstruction by dacryoendoscopy. When discrepancies were observed between syringing and dacryoendoscopy to detect the site of obstruction, the combination of syringing and DCG reached the dacryoendoscopy findings at the 99% level. Conclusions: "Substantial" agreements were found between the diagnostic findings of the three examinations. Among them, the highest agreement was between syringing and dacryoendoscopy in determining the site of obstruction. The lowest agreements were between syringing and DCG in diagnosing the grade and the site of obstruction.
Processing and quality of the cassava flour produced by traditional communities in the Central Amazon Region – Brazil
Authors: Nascimento Renata , Mundim Silmara , Narcisa-Oliveira Jeniffer , Oliveira Ozeni , Silva Érica , Tiburtino Lorene , Costa Reginaldo , Maciel Josemar , Kluczkovski Ariane , Brito Vitor 
Published: September 2022

Abstract

Cassava flour is a Brazilian product that still deserves attention for what regards sustainability. We offer a study of production processes and nutritional aspects of the flour from the Central Brazilian Amazon. We conducted bibliometric surveys, observations and collected 30 samples, in 15 traditional communities, that need cassava as a source of income and livelihood. We found that cassava cultivation under specific edaphoclimatic conditions guarantees the maintenance of autochthonous landraces. Still, we show their influence upon the flour's physicochemical composition, especially starch, mineral and fiber contents. Further, nutritional analyses allowed a qualitative approach of human health. We propose recommendations, such as: the mitigation of effects of residual cyanide, classifying the flour as safe food; the maintenance of traditional communities, and of genetic resources. Still, we suggest the adoption of a seal of approval and origin, and the creation of a gourmet market, thus adding visibility to Brazil's intangible heritage variety.
In-silico identification of phytocompounds as inhibitors to two key enzymes of Shikimate pathway of Mycobacterium tuberculosis for discovery of new lead molecule(s) for treatment of Tuberculosis
Authors: Sarkar Narayan Sarkar Narayan , Tanti Bhaben Tanti Bhaben , bharali Suresh Bharali Suresh 
Published: September 2022

Abstract
Tuberculosis(TB) is one of the most lethal respiratory infections caused by the organism Mycobacterium tuberculosis. Several drugs are available for the treatment of TB. Numerous reports have demonstrated the cause and emergence of multi drug resistance of M. tuberculosis. To improve the treatment of these strains, there is rising need to develop anti-TB effective drugs. The aim of this research was to develop an anti-tuberculosis drug.The two enymes 3-Dehydroquinate synthase(3N76) and 3-dehydroquinate dehydratase(3QBE), of mycobacterial shikimate pathway was selected as drug targets.The structures of these two enzymes were obtained from PDB data bank.The phytocompounds from a medicinal plant,which was traditionally used in pulmonary infection, Achyranthes aspera ,were selected as ligands.Molecular docking was done against these two enzymes(receptors) by 11 phytocompounds of Achyranthes aspera by AUTODOCK vina software. The compounds which have highest binding affinity with targets was selected. Later pharmacokinetic analysis, bioactivity prediction, toxicity calculation of these compounds was done.From the docking study, the compound9(Ecdysterone 2,3-acetonide 22-O-benzoate), has highest binding affinity with enzyme 3-dehydroquinate synthase(3N76), And the compound 2(2,3,14,20,25-Pentahydroxy-6-oxocholest-7-en-22-yl benzoate) has highest binding affinity with enzyme 3-dehydroquinate dehydratase(3QBE).The druglikeness of these two compounds shows that both of them obey Lipinski’s rule of 5.