bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association of bovine uterine involution disturbances with serum neuropeptide concentrations
Authors: Abultdinova Aida , Jakupov Issatay , Roth Joachim , Failing Klaus , Wehrend Axel , Sickinger Marlene 
Published: November 2019

Abstract
Background: Puerperal diseases influence fertility and should be diagnosed as soon as possible. The present study aimed to evaluate the applicability of serum concentrations of substance P (SP), vasoactive intestinal polypeptide (VIP) and IL‑1β in the early diagnosis of uterine involution disturbances. Blood serum samples of 86 dairy cows from 6 different farms were harvested within the first 20 days after calving from cows with uterine involution disturbances and healthy controls, respectively. Serum concentrations for SP, VIP and IL‑1β were determined using commercially available ELISA test kits. Statistical analyses included timely changes in blood serum levels and group comparisons of healthy cows and cows with uterine disease. Results: SP-concentrations increased significantly within 20 days after calving (P < 0.04) with no significant difference between the groups. No significant differences could be shown for VIP and logIL-1β. Conclusion: None of the examined serum parameters seems suitable as indicator of uterine involution disorders. Due to the timely changes in serum concentrations of SP after calving, a correlation to diseases might not be precluded though. Further research is needed with regard to the establishment of normative values concerning this parameter.
Internship Programs for Undergraduate Health Informatics Students in Saudi Arabia
Authors: Altuwayrib Saleh , Win Khin Than 
Published: November 2019

Abstract
Background Internship program is one of the experiential learning methods that enable students to gain practicum experience and learn from specialised people. This type of learning is a professional gateway to integrate knowledge with practical application. This study defines the state of health informatics internship programs in Saudi Arabia and examines the difference between interns and graduated students’ perceptions about the experience of health informatics internship programs in Saudi hospitals. Methods An online survey was constructed and distributed to health informatics students through social media platforms and specialised groups. The sample size included 89 participants from different universities across Saudi Arabia regions. Results The findings indicate that the majority of participants believe that internship programs have a positive impact on students’ skills and provide students with non-monetary incentives. ANOVA analysis and t-test results indicated that there is no significance difference between the interns and graduates perceptions (p-value 0.495, alpha value 0.005) Conclusion Health informatics internship programs in the Kingdom should consider some aspects: the selection criteria of internship sites, the linkage between education outcomes and Saudi labour market needs, effective experiential learning methods, well-defined structure of health informatics internship program and competencies framework.
Disentangling the mechanisms shaping the surface ocean microbiota
Authors: Logares Ramiro , Deutschmann Ina M. , Junger Pedro C. , Giner Caterina R. , Krabberød Anders K. , Schmidt Thomas S.B. , Rubinat-Ripoll Laura , Mestre Mireia , Salazar Guillem , Ruiz-González Clara , Sebastián Marta , de Vargas Colomban , Acinas Silvia G. , Duarte Carlos M. , Gasol Josep M. , Massana Ramon 
Published: November 2019

Abstract
Background The ocean microbiota modulates global biogeochemical cycles and changes in its configuration may have largescale consequences. Yet, the underlaying ecological mechanisms structuring it are unclear. Here we investigate how fundamental ecological mechanisms (selection, dispersal and ecological drift) shape the smallest members of the tropical and subtropical surface-ocean microbiota: prokaryotes and minute eukaryotes (picoeukaryotes). Furthermore, we investigate the agents exerting abiotic selection on this assemblage as well as the spatial patterns emerging from the action of ecological mechanisms. To explore the previous, we analysed the composition of surface-ocean prokaryotic and picoeukaryotic communities using DNA-sequence data (16S- and 18S-rRNA genes) collected during the circumglobal expeditions Malaspina-2010 and TARA-Oceans. Results We found that the two main components of the tropical and subtropical surface-ocean microbiota, prokaryotes and picoeukaryotes, appear to be structured by different ecological mechanisms. Picoeukaryotic communities were predominantly structured by dispersal-limitation, while prokaryotic counterparts appeared to be shaped by the combined action of dispersal-limitation, selection and drift. Temperature-driven selection appeared as a major factor influencing species co-occurrence networks in prokaryotes but not in picoeukaryotes, indicating that association patterns may contribute to understand ocean microbiota structure and response to selection. Other measured abiotic variables seemed to have limited selective effects on community structure in the tropical and subtropical ocean. Picoeukaryotes displayed a higher spatial differentiation between communities and a higher distance decay when compared to prokaryotes, consistent with a scenario of higher dispersal limitation in the former after considering environmental heterogeneity. Lastly, random dynamics or drift seemed to have a more important role in structuring prokaryotic communities than picoeukaryotic counterparts. Conclusions The differential action of ecological mechanisms seems to cause contrasting biogeography, in the tropical and subtropical ocean, among the smallest surface plankton, prokaryotes and picoeukaryotes. This suggests that the idiosyncrasy of the main constituents of the ocean microbiota should be considered in order to understand its current and future configuration, which is especially relevant in a context of global change, where the reaction of surface ocean plankton to temperature increase is still unclear.
The predictive value of lymphocyte-to-monocyte ratio in the prognosis of acute coronary syndrome patients: A systematic review and meta-analysis
Authors: Wang Run-Chang , Zhang Qing , Zhang Cun-Tai , Sun Lei , Quan Xiao-Qing 
Published: November 2019

Abstract
The association between the lymphocyte-to-monocyte ratio (LMR) and prognosis of patients with acute coronary syndrome (ACS) is not fully understood. We performed this systematic review and meta-analysis to evaluate the correlation between LMR and mortality or major adverse cardiac events (MACE) in patients with ACS.Methods A systematic search was performed in PubMed, MEDLINE, EMBASE, the Cochrane Library, Scopus and Web of science. The association between LMR and mortality or MACE was analyzed in patients with ACS. The search was updated to August 1, 2019.Results A total of 5 studies comprising 3122 patients were included in this meta-analysis. The results showed that lower LMR predicted short-term mortality/MACE (odds ratio [OR] = 2.61, 95% confidence interval [CI]: 1.15–5.94, P = 0.022) and higher long-term mortality/MACE (OR = 2.10, 95% CI: 1.06–4.19, P = 0.035). According to our subgroup analysis, there still has a statistical significance for LMR predict short-term mortality/MACE in lager sample size researches (≥600, OR = 3.50, 95% CI: 1.84–6.67, p < 0.001),Turkey researches (OR = 4.16, 95% CI: 2.32–7.46, p < 0.001), younger patients researches (< 62, OR = 3.76, 95% CI: 2.29–6.18, p < 0.001).Conclusions This study suggested that lower LMR value might be associated with higher short-term mortality/MACE and long-term mortality/MACE in patients with ACS.
Decolorization of Reactive Blue 220 aqueous solution using fungal synthesized Co3O4 nanoparticles
Authors: Valappil Riya Sidhikku Kandath , Vijayanandan Ajuy Sundar , Balakrishnan Raj Mohan 
Published: November 2019

AbstractIn this work, the photocatalytic activity of the biosynthesized cobalt oxide (Co3O4) nanoparticle (NP) is investigated using a textile dye Reactive Blue 220 (RB220) and decolorization % was monitored using UV–Vis spectrophotometer. The photocatalytic activity has been observed maximum at alkaline pH of 9, NP dosage of 250 mg/L, and reaction time of 270 min. In the presence of UV light irradiation, a maximum dye concentration of 10 mg/L was treated effectively using 150 mg/L NP, and 67% decolorization was achieved. Reaction kinetics has been analyzed, and the reaction followed the pseudo kinetics model with an activation energy of −484 kJ mol−1.
Major ion chemistry and water quality assessment of groundwater in the Shigaze urban area, Qinghai-Tibetan Plateau, China
Authors: Li Yingzhi , Liu Jiutan , Gao Zongjun , Wang Min , Yu Leqi 
Published: November 2019

Abstract
Shigaze city is situated in the southwestern Tibetan Plateau and is the second largest city in the Tibet Autonomous Region. Groundwater is the major source of domestic and drinking water for urban inhabitants. In this study, the major ion chemistry and a water quality assessment of groundwater were studied using geochemical methods and fuzzy comprehensive assessment. Groundwater was classified as slightly alkaline soft and hard freshwater, and the influence of anthropogenic activities on groundwater was relatively weak. The dominant cations and anions were Ca2+ and Mg2+ and HCO3− and SO42−, respectively. Overall, the mean concentrations of major ions in groundwater increase gradually over time, except for NO3−; however, the mean value of pH decreases over time. Most groundwater samples belong to the type of HCO3-Ca, and the groundwater has a trend of evolution from HCO3-Ca to the mixed type. Rock weathering was the main hydrogeochemical process controlling groundwater hydrochemistry, and the dissolution of carbonate and silicate minerals were the primary contributors to the formation of the major ion chemistry of groundwater. Major ions of groundwater in the urban area of Shigaze are below the standard limits, and the groundwater is excellent for drinking according to the fuzzy comprehensive assessment.
Effects of post anaerobic digestion thermal hydrolysis on dewaterability and moisture distribution in digestates
Authors: Svennevik Oda K. , Solheim Odd Egil , Beck Greeley , Sørland Geir H. , Jonassen Kjell R. , Rus Ester , Westereng Bjørge , Horn Svein J. , Higgins Matthew J. , Nilsen Pål J. 
Published: November 2019

Abstract
Organic waste fractions such as sewage sludge, food waste and manure can be stabilized by anaerobic digestion (AD) to produce renewable energy in the form of biogas. Following AD, the digested solid fraction (digestate) is usually dewatered to reduce the volume before transportation. Post-AD treatments such as the Post-AD thermal hydrolysis process (Post-AD THP) have been developed to improve the dewatering, but the mode of action is not well understood. In this study, samples from 32 commercial full-scale plants were used to assess the impact of Post-AD THP on a broad range of raw materials. Maximum dewatered cake solids after Post-AD THP was predicted by thermogravimetric analysis (TGA). Post-AD THP changed the moisture distribution of the samples by increasing the free water fraction. A consistent improvement in predicted dewatered cake solids was achieved across the 32 samples tested, on average increasing the dry solids concentration by 87%. A full-scale trial showed that dewatering Post-AD THP digestate at 80 °C improved dewatered cake solids above the predictions by TGA at 35 °C. In conclusion, dewatered cake solids were significantly improved by Post-AD THP, reducing the volume of dewatered cake for disposal.
The Effects of Amoxicillin, Cefazolin, and Gentamicin Antibiotics on the Antioxidant System in Mouse Heart Tissues
Authors: Savcı Ahmet , Koçpınar Enver Fehim , Budak Harun , Çiftci Mehmet , Şişecioğlu Melda 
Published: November 2019

Background:Free radicals lead to destruction in various organs of the organism. The improper use of antibiotics increases the formation of free radicals and causes oxidative stress.Objective:In this study, it was aimed to determine the effects of gentamicin, amoxicillin, and cefazolin antibiotics on the mouse heart.Methods:20 male mice were divided into 4 groups (1st control, 2nd amoxicillin, 3rd cefazolin, and 4th gentamicin groups). The mice in the experimental groups were administered antibiotics intraperitoneally at a dose of 100 mg / kg for 6 days. The control group received normal saline in the same way. The gene expression levels and enzyme activities of SOD, CAT, GPx, GR, GST, and G6PD antioxidant enzymes were investigated.Results :GSH levels decreased in both the amoxicillin and cefazolin groups, while GR, CAT, and SOD enzyme activities increased. In the amoxicillin group, Gr, Gst, Cat, and Sod gene expression levels increased.Conclusion:As a result, it was concluded that amoxicillin and cefazolin caused oxidative stress in the heart, however, gentamicin did not cause any effects.
NeuroCS: A Tool to Predict Cleavage Sites of Neuropeptide Precursors
Authors: Wang Ying , Kang Juanjuan , Li Ning , Zhou Yuwei , Tang Zhongjie , He Bifang , Huang Jian 
Published: November 2019

Background:
Neuropeptides are a class of bioactive peptides produced from
neuropeptide precursors through a series of extremely complex processes, mediating neuronal
regulations in many aspects. Accurate identification of cleavage sites of neuropeptide precursors is
of great significance for the development of neuroscience and brain science.

Objective:
With the explosive growth of neuropeptide precursor data, it is pretty much needed to
develop bioinformatics methods for predicting neuropeptide precursors’ cleavage sites quickly and
efficiently.

Method :
We started with processing the neuropeptide precursor data from SwissProt and
NueoPedia into two sets of data, training dataset and testing dataset. Subsequently, six feature
extraction schemes were applied to generate different feature sets and then feature selection
methods were used to find the optimal feature subset of each. Thereafter the support vector machine
was utilized to build models for different feature types. Finally, the performance of models were
evaluated with the independent testing dataset.

Results:
Six models are built through support vector machine. Among them the enhanced amino
acid composition-based model reaches the highest accuracy of 91.60% in the 5-fold cross
validation. When evaluated with independent testing dataset, it also showed an excellent
performance with a high accuracy of 90.37% and Area under Receiver Operating Characteristic
curve up to 0.9576.

Conclusion:
The performance of the developed model was decent. Moreover, for users’
convenience, an online web server called NeuroCS is built, which is freely available at
http://i.uestc.edu.cn/NeuroCS/dist/index.html#/. NeuroCS can be used to predict neuropeptide
precursors’ cleavage sites effectively.
Aging and Neuroinflammatory Disorders: New Biomarkers and Therapeutic Targets
Authors: Gambino Caterina M. , Sasso Bruna Lo , Bivona Giulia , Agnello Luisa , Ciaccio Marcello 
Published: November 2019

:
Chronic neuroinflammation is a common feature of the pathogenic mechanisms involved in various
neurodegenerative age-associated disorders, such as Alzheimer's disease, multiple sclerosis, Parkinson’s disease,
and dementia.

:
In particular, persistent low-grade inflammation may disrupt the brain endothelial barrier and cause a significant
increase of pro-inflammatory cytokines and immune cells into the cerebral tissue that, in turn, leads to microglia
dysfunction and loss of neuroprotective properties.

:
Nowadays, growing evidence highlights a strong association between persistent peripheral inflammation, as well
as metabolic alterations, and neurodegenerative disorder susceptibility. The identification of common pathways
involved in the development of these diseases, which modulate the signalling and immune response, is an important
goal of ongoing research.

:
The aim of this review is to elucidate which inflammation-related molecules are robustly associated with the risk
of neurodegenerative diseases. Of note, peripheral biomarkers may represent direct measures of pathophysiologic
processes common of aging and neuroinflammatory processes. In addition, molecular changes associated with the
neurodegenerative process might be present many decades before the disease onset. Therefore, the identification
of a comprehensive markers panel, closely related to neuroinflammation, could be helpful for the early diagnosis,
and the identification of therapeutic targets to counteract the underlying chronic inflammatory processes.
The Use of Fibrin-based Tissue Adhesives for Breast in Reconstructive and Plastic Surgery
Authors: Chen Kuo , Sinelnikov Mikhail Y. , Nikolenko Vladimir N. , Reshetov Igor V. , Cao Yu , Li Zhi , Kochurova Ekaterina V. , Nikolenko Svetlana N. , Avila-Rodríguez Marco , Somasundaram Siva G. , Kirkland Cecil E. , Aliev Gjumrakch 
Published: November 2019

Background:Breast plastic surgery is a rapidly evolving field of medicine. The modern view of surgical trends reflects the desire to minimize complications and introduce advanced technologies. These always will be priorities for surgeons. Reconstructive surgery, a branch of plastic surgery focusing on restoration of lost functional and aesthetic component, seeks to enhance psychological rehabilitation and improves the quality of life, as well as aesthetic recovery.Objective:This review addresses the action of fibrin agents and their effect on the quality of surgical hemostasis.Discussion and Conclusion:The fundamental goals for the surgeon are to perform a minimally traumatic intervention and to prevent any form of complication. Achieving complete hemostasis is an intraoperative necessity. Timely prevention of bleeding and hemorrhagic phenomena can affect not only the outcome of the operation, but also the incidence of postoperative complications. Topics include the integrity of microvascular anastomoses, tissue adhesion, and the incidence of seromas and hematomas associated with fibrin glue usage. The literature on fibrin adhesives with respect to prevention of postoperative complications, and the effectiveness with active drainage also are analyzed.
Search for Potential Inducible Nitric Oxide Synthase Inhibitors with Favorable ADMET Profiles for the Therapy of Helicobacter pylori Infections
Authors: Rodrigues Ricardo Pereira , Ardisson Juliana Santa , Ribeiro Gonçalves Rita de Cássia , Oliveira Tiago Branquinho , Barreto da Silva Vinicius , Kawano Daniel Fábio , Kitagawa Rodrigo Rezende 
Published: November 2019

Background:
Helicobacter pylori is a gram-negative bacterium related to chronic gastritis, peptic
ulcer and gastric carcinoma. During its infection process, promotes excessive inflammatory response, increasing
the release of reactive species and inducing the production of pro-inflammatory mediators. Inducible Nitric
Oxide Synthase (iNOS) plays a crucial role in the gastric carcinogenesis process and a key mediator of inflammation
and host defense systems, which is expressed in macrophages induced by inflammatory stimuli. In
chronic diseases such as Helicobacter pylori infections, the overproduction of NO due to the prolonged induction
of iNOS is of major concern.

Objective:
In this sense, the search for potential iNOS inhibitors is a valuable strategy in the overall process
of Helicobacter pylori pathogeny.

Method:
In silico techniques were applied in the search of interesting compounds against Inducible Nitric
Oxide Synthase enzyme in a chemical space of natural products and derivatives from the Analyticon Discovery
databases.

Results:
The five compounds with the best iNOS inhibition profile were selected for activity and toxicity predictions.
Compound 9 (CAS 88198-99-6) displayed significant potential for iNOS inhibition, forming hydrogen
bonds with residues from the active site and an ionic interaction with heme. This compound also displayed
good bioavailability and absence of toxicity/or from its probable metabolites.

Conclusion:
The top-ranked compounds from the virtual screening workflow show promising results regarding
the iNOS inhibition profile. The results evidenced the importance of the ionic bonding during docking selection,
playing a crucial role in binding and positioning during ligand-target selection for iNOS.
In Silico Drug-designing Studies on Sulforaphane Analogues: Pharmacophore Mapping, Molecular Docking and QSAR Modeling
Authors: Vaghefinezhad Neda , Farsani Samaneh Fazeli , Gharaghani Sajjad 
Published: November 2019

Aims:In the presented work we successfully discovered several novel NQO1 inducers using the computational approaches.Background:The phytochemical sulforaphane (SFN) is a potent inducer of carcinogen detoxication enzymes like NAD(P)H:quinone oxidoreductase 1 (NQO1) through the Kelch-like erythroid cellderived protein with CNC homology[ECH]-associated protein 1 (Keap1)–[NF-E2]-related factor 2 (Nrf2) signaling pathway.Objective:In this paper, we report the first QSAR and pharmacophore modeling study of sulforaphane analogues as NQO1 inducers. The pharmacophore model and understanding the relationships between the structures and activities of the known inducers will give useful information on the structural basis for NQO1 enzymatic activity and lead optimization for future rational design of new sulforaphane analogues as potent NQO1 inducers.Methods:In this study, a combination of QSAR modeling, pharmacophore generation, virtual screening and molecular docking was performed on a series of sulforaphane analogues as NQO1 inducers.Results:In deriving the QSAR model, the stepwise multiple linear regression established a reliable model with the training set (N: 43, R: 0.971, RMSE: 0.216) and test set (N: 14, R: 0.870, RMSE: 0.324, Q2: 0.80) molecules. The best ligand-based pharmacophore model comprised two hydrophobic (HY), one ring aromatic (RA) and three hydrogen bond acceptor (HBA) sites. The model was validated by a testing set and the decoys set, Güner–Henry (GH) scoring methods, etc. The enrichment of model was assessed by the sensitivity (0.92) and specificity (0.95). Moreover, the values of enrichment factor (EF) and the area under the receiver operating characteristics curve (AUC) were 12 and 0.94, respectively. This well-validated model was applied to screen two Asinex libraries for the novel NQO1 inducers. The hits were subsequently subjected to molecular docking after being filtering by Lipinski’s, MDDR-like, and Veber rules as well as evaluating their interaction with three major drugmetabolizing P450 enzymes, CYP2C9, CYP2D6 and CYP3A4. Ultimately, 12 hits filtered by molecular docking were subjected to validated QSAR model for calculating their inducer potencies and were introduced as potential NQO1 inducers for further investing action.Conclusions:Conclusively, the validated QSAR model was applied on the hits to calculate their inducer potencies and these 12 hits were introduced as potential NQO1 inducers for further investigations.