bluuebunny/crossref_metadata_2025_split huggingface dataset:
HQSAR, CoMFA, CoMSIA docking studies and simulation MD on quinazolines/quinolones derivatives for DENV virus inhibitory activity
Authors: Tabti Kamal , Elmchichi Larbi , Sbai Abdelouahid , Maghat Hamid , bouachrine Mohammed , Lakhlifi Tahar 
Published: May 2022

Abstract
In this study, quantitative mathematical models were established to understand the relationship between a series of 26 quinazoline / quinoline derivative and their biological activity against DENV virus using 3D-QSAR and HQSAR analysis. According to the results we obtained, the models have good predictability:the HQSAR model (Q 2 = 0.82, R 2 = 0.95), the CoMFA model with Q 2 = 0.755, R 2 = 0.94 and CoMSIA with Q 2 = 0.76, R 2 = 0.930. It should be noted that all three models successfully meet all external validation criteria. Molecular docking and dynamic simulation have been employed to explain the mode of binding between the ligand and the active site of the protein, and assess, justify ligand stability in the active receptor site respectively. The results of this research provide an information base for discovering new inhibitors of DENV virus.
Artificial Intelligence in Breast Screening - Local Validation Essential
Authors: de Vries Clarisse , Colosimo Samantha , Staff Roger , Dymiter Jaroslaw , Yearsley Joseph , Dinneen Deirdre , Boyle Moragh , Harrison David , Anderson Lesley , Lip Gerald 
Published: May 2022

Abstract
Artificial intelligence (AI) tools may assist breast screening mammography programmes, but evidence gaps remain, including whether AI performance is consistent across sites and over time. This study used a three-year historical dataset (58,209 cases) from a UK regional screening programme with known clinical outcomes. The performance of a commercially available breast screening AI algorithm, used to recall women for further investigation, was evaluated. The AI algorithm was used with a pre-specified and a site-optimised threshold. The pre-specified threshold resulted in high recall rates (47.7%) which reduced to 13.0% following threshold optimisation, closer to the observed service level (5.0%). Stand-alone, the AI algorithm would have recalled 277/303 (91.4%) of cancers detected through the routine screening programme and 14/52 (26.9%) of cancers diagnosed between screening cycles (interval cancers). An approximately three-fold increase in recall rate was observed following a software upgrade on the mammography X-ray units. To ensure safe deployment, AI algorithm performance and decision thresholds should be validated when applied in new clinical settings. Real-time quality assurance systems will need to be in place to monitor AI performance in a clinical setting. Collectively these findings show that the generalisability of a breast screening AI algorithm is not guaranteed.
Solutions for improved hospital wide patient flows – A qualitative interview study of leading healthcare providers
Authors: Åhlin Philip , Almström Peter , Wänström Carl 
Published: May 2022

Abstract
Background
Hospital productivity is of great importance for patients and public health in order to achieve better availability and health outcomes. Previous research demonstrates that improvements can be reached by directing more attention to the flow of patients. There is a significant body of literature on how to improve patient flows, but these research projects rarely encompass complete hospitals. Therefore, by interviewing senior managers at the world’s leading hospitals this study aims at identifying effective solutions to enable swift patient flows across hospitals and to develop a framework to guide improvements in the hospital-wide patient flow.
Methods
This study drew on qualitative data from interviews with 33 senior managers at 18 of the world’s 25 leading hospitals, spread across 9 countries. The interviews were conducted between June 2021 and November 2021 and transcribed verbatim. A thematic analysis followed, based on inductive reasoning to identify meaningful subjects and themes.
Results
We have identified 50 solutions to efficient hospital-wide patient flows. These are together describing the importance for hospitals to: align the organization; build a coordination and transfer structure; ensure physical capacity capabilities; develop standards, checklists, and routines; invest in digital and analytical tools; improve the management of operations; optimize capacity utilization and occupancy rates; seek external solutions and policy changes.
Conclusions
Hospitals must invest in new capabilities and technologies, implement new working methods, and build a patient flow-focused culture. It is also important to strategically look at the patient’s whole trajectory of care as one unified flow that must be aligned and integrated between and across all actors, internally and externally. Hospitals need to both proactively and reactively optimize their capacity use around the patient flow to provide care for as many patients as possible and to spread the burden evenly across the organization. Lastly, this study presents a patient flow improvement framework to be used by healthcare managers, commissioners, and decision-makers when designing their strategies on how to improve their delivery of health care services to meet the needs of their patients.
Insitu synthesis of Cu-doped ZIF-8 for efficient photocatalytic water splitting
Authors: Varangane Sagar , Vennapoosa Chandra Shobha , Tiwari Amritanjali , Nataraj Sanna Kotrappanavar , Prabhu Yendrapati Taraka , Pal Ujjwal 
Published: May 2022

Abstract
Metal-organic frameworks (MOFs), which have a large surface area, are gaining popularity in photocatalysis, although they have drawbacks such as little visible light response and limited carrier migration efficiency. Herein, we employed a simple metal ion exchange method to change zeolitic imidazolate framework-8 (ZIF-8) from a typical UV light to a unique broad-spectrum of visible light driven photocatalyst. In this respect, Cu2+ ions with varying loadings were integrated within the ZIF-8 framework to produce a range of Cu-doped ZIF-8 materials, and their photocatalytic activity of hydrogen production was investigated. The effect of insitu Cu+ 2 doping on boosting visible-light photocatalytic activity of ZIF-8 was investigated using a photocurrent test, electrochemical impedance spectra, photocatalytic activity tests, and photoluminescence spectroscopy measurement. These findings showed that doping of Cu+ 2 is a good technique to promote ZIF-8's visible-light photocatalytic activity, as Cu+ 2 improve visible light usage and carrier separation efficiency. Moreover, compared to pristine ZIF-8 (0.80 mmol/g/h), the photocatalytic H2 generation rate of Cu@ZIF-8 (CDZ-20) is seventeen folds high (13.9 mmol/g/h). This work shows how to make a high-effective and stable copper doped ZIFs (CDZ) photocatalyst for hydrogen evolution using a novel and easy technique.
Effects of haptic imagery on purchase intention
Authors: Inoue Yumi 
Published: May 2022

Abstract
ObjectiveThe COVID‑19 pandemic has increased the popularity of online shopping, and companies are looking for ways to provide consumers with experiences that online shopping cannot provide, such as touching products and imagining them in use. In this context, the importance of tactile imagery of products showcased online is increasing. This study replicated and extended Peck, Barger, & Webb's (2013) finding that haptic imagery mediates physical control and influences psychological ownership. ResultsThe present study showed that imagining touching a product increases purchase intention through the mediation of physical control and psychological ownership compared with not imagining, conceptually replicating Peck et al.’s (2013) study. This study also examined the moderated mediation effect of product involvement and showed that this mediation effect was achieved regardless of the degree of product involvement.
The effect of biosecurity measures application on the level of diseases risk in different poultry farms
Authors: Aidaros Hassan A , Hafez Eman M. , Bahgy Halla E.K. El 
Published: May 2022

Abstract
The development and implementation of a biosecurity plan in a poultry production enterprise, require a documented approach and scoring systems to rank biosecurity protocols and their implementation. Hence, this study was carried out to monitor some biosecurity measures applied in different poultry farms and its effect on the presence of some pathogenic bacteria, such as E. coli, Pasteurella and Campylobacter in different poultry farm's production. The obtained results showed that the highest incidence of isolated pathogenic bacteria was in the duck farms. The incidence of E.coli spp was (61%), Pasterulla spp was (18.52%) and Campylobacter spp was (43.5%) in duck farms. There was a negative relationship between the application of biosecurity measures and the isolation of pathogenic bacteria in poultry farm's production. The EaeA and Stx1 virulence genes were detected from some serotypes of E.coli; while the virulence genes pfhA and hgbB were isolated from some P. multocida serotypes. Also, the cdtB and cdtC virulence genes were recovered from Campylobacter serotypes. Finally, the biosecurity measures are essential for the success of poultry production. Indeed, biosecurity measures reduce the risk of introducing pathogens during the poultry production cycle; In addition, it reduces financial losses through decreased mortality rates and treatment costs.
The genus Arthrocladiella: a new report of powdery mildew fungi from Iran
Authors: khodaparast seyed Akbar , Darsaraei Hamideh , Abbasi Mehrdad 
Published: May 2022

Abstract
Arthrocladiella is a monotypic member of family Erysiphaceae (Ascomycota, Helotiales), which has only been reported from Lycium spp. (Solanaceae). Morphological data supplemented with rDNA ITS sequence confirmed that the Arthrocladiella mougeotii infects Lycium sp. in Iran. Moreover, Arthrocladiella is reported as a new genus for Iranian Mycobiota.
Focus shaping of linearly polarized pseudo-nondiffracting beam using a radial shift and a large numerical aperture
Authors: Halba E.M. El , Hennani S. , Balhamri Adil , Belafhal Abdelmajid 
Published: May 2022

Abstract
Based on vector Debye integral, focusing properties of linearly polarized Bessel-Gaussian beam modulated by Bessel gratings (BGMBG) combining a radial phase shift modulated spiral zone plate (RSSZP) passing through a large numerical aperture (NA) lens system are investigated. The data obtained lead that the intensity and the phase distributions in the focal section are significantly controlled by the order of the beams (m, n), the topological charge p and the shifting parameter of the RSSZP. Simulations show that by increasing the topological charge, the radius of the ring increases and that the shifting parameter has an effect on the ring size. Also, the linear polarized incident beam lost its polarization after crossing a high-numerical-aperture objective.
Synthesis of PPC-graft-poly (PEOMA) Brush and PPC Gels via Post-polymerization Modification of Hydroxyl-functionalized Poly (Propylene Carbonate)
Authors: Zeng Shulong , Wu Xiaojun , Ren Yao , He Lirong 
Published: May 2022

Abstract
Post-polymerization modification offers a facile and effective tool for adapting polymer properties. However, it has not been applied to poly (propylene carbonate) (PPC) as traditional PPC lacks sufficient functional groups along the polymer chain. In the present work, for the first time, hydroxyl-functionalized PPC has been prepared and used to construct PPC-brush and cross-linked polymer gels through post-polymerization modification approach. PPC-brushes in the form of PPC-graft-poly (PEOMA) were obtained with controllable brush length and brush density via “grafting from” a PPC-macroinitiator which was synthesized from esterification reaction of PPC-OH with 2-bromoisobutyryl bromide. PPC permanent networks in the form of dioxane gels were prepared by cross-linking PPC-OH with 4,4′-diphenylmethane diisocyanate (MDI). Rheological measurement of the gels showed that the cross-linking density scales linearly with the hydroxyl group density in PPC-OH. This work not only offers a facile strategy to realize the post-modification of PPC but also spurs the devising of innovative biodegradable materials with tailored molecular architectures.
Curauá fibers from plants produced by tissue culture: thermal, mechanical, and morphological characterizations
Authors: de Freitas Ana E. M. , Padilha Felipe de J. , Barros Silma de S. , Barbosa Willams T. , Barbosa Josiane D. V. , Calderaro Fábio L. , Silva Simone da , Quirino Magnólia G. , FREITAS FLAVIO A 
Published: May 2022

Abstract
Curauá fibers are already well known, mainly for their good mechanical properties and synergism with polymeric matrices. Thus, in this work, we produced the curauá plant by tissue culture (micropropagation technique) and extracted the fibers, which were characterized regarding moisture, ash, extractives, lignin, hemicellulose, holocellulose, and cellulose contents, besides infrared spectroscopy (FTIR-ATR), X-ray diffraction (XRD), thermogravimetric analysis (TGA), scanning electron microscopy (SEM) and evaluation of mechanical properties. Compared to other works, this curauá fiber presented a higher content of cellulose (77.2%) and lower hemicellulose content (6.8%). Another unique feature was the high crystallinity of the cellulose present in the fiber (73.53%), which reflected good thermal and mechanical properties. Thus, we show that the micropropagation technique is highly advantageous for the scale production of this fiber, in addition to producing a high-quality fiber for application in composites since it can better control the plant growth environment as well as macro and micronutrients.
Maternal Multi-morbidity - Experiences of Women Seeking Asylum During Pregnancy and After Childbirth: a Qualitative Study
Authors: ROWE ANNA , BHARDWAJ MINAKSHI , MCCAULEY MARY 
Published: May 2022

Abstract
Background Many women seeking asylum during pregnancy and after childbirth experience significant ill-health, but detection and assessment is often difficult as part of routine maternity care. Healthcare providers are key for the early identification and management of vulnerable pregnant women who have additional psychological and social health needs. We sought to explore the experiences and health needs of women seeking asylum during pregnancy and after childbirth in Liverpool, United Kingdom. Enabling factors and barriers to access women-centred care were also explored.Methods Key informant interviews (n=10) and one focus group discussion (n=4) were conducted with women attending a pregnancy support group. Transcribed interviews were coded by topic and then grouped into categories. Thematic framework analysis was undertaken to identify emerging themes. ResultsWomen seeking asylum understand wellbeing during and after pregnancy is multifactorial and that physical health is interlinked with psychological and social factors. Many women reported that their expectations of maternity services were exceeded, but information giving, and the use of language interpreters needed to be improved. Women explained that they need more comprehensive and timely psychological and social support. The asylum-seeking process itself resulted in women feeling anxious and/or depressed with little control or choice over their future. Women were stressed regarding poor standard of accommodation, low income, dispersal and the uncertainty of their asylum application outcome.ConclusionsA multidisciplinary framework and team support, with effective referral pathways to collaborate with maternal mental health and social services, are necessary as part of routine maternity care to ensure a more comprehensive and holistic approach that addresses the needs of asylum-seeking women.
Luteolin ameliorated CHC-induced autophagy dysfunction in macrophages through the AMPK/mTOR signaling pathway
Authors: Zou Tao , Li Shiqin , Gao Shan , Yao Lan , Xu Mengyao , Wu Zhigui , Huang Yilan , Wang Shurong 
Published: May 2022

Abstract
Background
Macrophages play a crucial role in the progression of atherosclerosis (AS), and cholesterol crystals (CHC) abundantly present in AS can affect the function of macrophages. Studies have found that the flavonoid luteolin (Lut) in nature has multiple functions such as anti-tumor and anti-inflammatory.
Objective
This experiment intends to explore whether Lut can reverse the autophagy dysfunction of macrophages induced by CHC and whether it can reduce the apoptosis of macrophages caused by CHC, and study its mechanism.
Methods
The RAW264.7 macrophages were modeled with CHC, and the optimal concentration of Lut was used to act on the inflammatory modeled macrophages. The changes in autophagy protein, apoptosis protein, and apoptosis were observed to confirm whether Lut is effective in the inflammation model. Effects of Lut combined with 3-MA autophagy inhibitor on autophagy and apoptosis of macrophages. Finally, the effect of Lut on the autophagy pathway AMPK and mTOR in inflammation modeling with CHC was studied.
Results
The expression of LC3-II/LC3-I decreased, p62 increased, and the apoptosis rate increased and the expression of Bax protein, cleaved caspase-3/procaspase-3 increased, tumor necrosis factor TNF- α expression increased. After Lut intervenes in macrophages after CHC action, the above effects are opposite. After CHC acted on macrophages, the phosphorylation of AMPK was significantly inhibited, while the phosphorylation of mTOR was significantly enhanced. After Lut intervention, the above results were the opposite.
Conclusion
CHC can inhibit the autophagy function of RAW264.7 macrophages and cause macrophage apoptosis. Lut can improve the autophagy dysfunction of macrophages caused by CHC and reduce the apoptosis caused by the inhibition of macrophage autophagy. Lut can regulate the apoptosis of macrophages caused by CHC through the AMPK/mTOR signaling pathway.
Composition of sedimentary organic matter in Thrissur Kole wetland, Southwest India
Authors: V Vidya P , S Rajathy , S Ratheesh Kumar C 
Published: May 2022

Abstract
Spatio-temporal distribution dynamics of various biochemical components in Thrissur Kole wetland were analysed to assess the quality of organic matter (OM) and trophic status. Thrissur Kole wetland forms the part of the Vembanad wetland system, located in the southwest coast of India. Surface sediment samples were collected from sixteen sites during non-monsoon (February 2019) and monsoon (August 2019) seasons. Concentration of biochemical parameters displayed a trend as follows: total carbohydrates > total protein > tannin & lignin > total lipids. Observed chlorophyll pigment concentration in sediments was as follows: Chla > Chlb > Chlc (in both seasons). Intermediate values of C/N ratios indicated a mixed origin of OM. Majority of stations exhibited lower values of protein to carbohydrate ratios which revealed the occurrence of aged sedimentary OM. Lower values of lipid to carbohydrate ratio indicated lower nutritional value of the organic content. The lower content of labile OM, low biopolymeric carbon to total organic carbon ratio and low algal contribution to the biopolymeric carbon suggested that a bulk fraction of OM exist as refractory. Trophic state of the wetland system was evaluated as hypertrophic, based on protein and carbohydrate content, biopolymeric carbon and algal contribution to biopolymeric carbon.
ECG signals’ detection using a Dropout Deep Convolutional Neural Network
Authors: Guo Keyou , Wang Sudong , Ma Liping , He Chengbo 
Published: May 2022

Abstract
In the common application of ECG, a technique of detecting and analyzing ECG signal waveform based on deep learning for large samples of ECG signal is proposed to replace artificial image recognition. For higher accuracy, it’s necessary to improve the existing CNN classifiers. First, it’s to pre-process the ECG signal to remove noise for QRS detection. Secondly, it’s to extract the QRS complex features, which contain the R wave— with the largest amplitude, can be used to capture and locate protruding morphological data, then send the datasets to the model to train. Eventually, the results are obtained. Using the proposed Dropout-DCNN model, the overall accuracy of the detection reaches 99.52% when we compare it with manual ones marked by experts in the MIT-BIH library. It can be considered that this module better than other ones and can be applied in clinical practice.
The Revised-Risk Analysis Index as a predictor of major morbidity and mortality after abdominal surgery in elderly patients: a retrospective cohort study
Authors: Wei Bin , Zong Yanan , Xu Mao , Wang Xiaoxiao , Guo Xiangyang 
Published: May 2022

Abstract
Background
The revised-Risk Analysis Index (RAI-rev) can accurately predict postoperative mortality risk. However, the association of RAI-rev with composite outcome of major morbidity and mortality (MMM) among elderly surgical patients is largely unknown. This study investigated the association between RAI-rev and postoperative MMM in older patients undergoing abdominal surgery. It also assessed the predictive value of RAI-rev combined with other preoperative risk factors.
Methods
This retrospective cohort study reviewed the medical records of all patients aged 65 and older who underwent abdominal surgery between January 2018 and December 2019. The primary outcome was the postoperative MMM during hospitalization, and its association with pre-operative RAI-rev scores was assessed using multivariable logistic regression analysis. The prediction of postoperative outcomes was used the receiver-operating characteristic curve analysis.
Results
A total of 2225 elderly patients were analyzed, and 258 (11.6%) developed postoperative MMM. After adjusting for confounders, each unit increase in RAI-rev scores resulted in a 2.3% increase in the MMM risk and a 3.0% increase in the odds of life-threatening complications and mortality (both P < 0.05). The area under the curves (AUCs) of RAI-rev scores in predicting MMM and life-threatening complications and mortality was 0.604 (95% CI: 0.567–0.640) and 0.633 (95% CI: 0.592 to 0.675), respectively (both P < 0.001); when the RAI-rev was combined with the American Society of Anesthesiologists (ASA) classification, operative stress, and urgency status of surgery (emergency or elective), the AUCs were 0.691 (95% CI: 0.656–0.726) and 0.739 (95% CI: 0.702 to 0.777), respectively (both P < 0.001).
Conclusions
Higher RAI-rev scores were independently associated with increased risk of MMM. When combined with the ASA classification, operative stress, and urgency status of surgery, RAI-rev has improved performance in predicting the risk of MMM, particularly the life-threatening complications and mortality.