bluuebunny/crossref_metadata_2025_split huggingface dataset:
In Vitro Antibacterial Activity of Different Honey Samples Against Clinical Isolates
Authors: Wadi Mahasin Ahmed 
Published: April 2021

Abstract
BackgroundThe emergence of multi–drug resistant organisms has created a lot of clinicalproblems. Hence there is a need to find natural alternative treatment to counter the multi–drug resistant organisms. Honey has a well-established usage as wound dressing in ancient and traditional medicine. The aim of this work is to establish a base-line of the antibacterial activity of 32 natural and commercial various honey samples against 8 clinical isolates.MethodsThirty two honey samples (raw and commercial honey) collected from different countries with different floral origin were tested in vitro for antibacterial activity against 8 clinical isolates collected from patients, at private Hospital from Sudan, using disk diffusion technique. The following 6 Epsilometer test (E Test), Amoxicillin, Augamentin, Ceftaxime, Chloramphenicol, Gentamicin and tetracycline were used against 8 clinical isolates for Minimum Inhibitory Concentration.ResultsThe following 8 clinical isolates were identified by conventional bacteriological methods; Staphylococcus aureus, Escherichia coli, Klebsiella pneumoniae, Pseudomonas aerouginosa, Proteus.vulgaris, Salmonella typhi, Shigella sonnei and Methicillin Resistant Staphylococcus aureus (MRSA). Honey has been shown to have antibacterial properties against both Gram-positive and Gram-negative bacteria. The tested organisms showed low sensitivity to antibiotics E test.ConclusionMost of the bacterial species studied were uniformly receptive to all the tested honey. In contrast The tested organisms showed low sensitivity to antibiotics with low MIC.
Study of Dementia Severity Prognosis in Mr Images Using Grey Wolf Optimization Based Dual Deep Learning Technique
Authors: priynaka Ahana , Ganesan Kavitha 
Published: April 2021

Abstract
Prognosis of in a dementia disorder is a tedious task in preclinical stage. Ventricle pathology changes in dementia appear to be overlapped for neuro degeneration in brain. Identification of these overlaps among the groups severity helps to understand the pathogenesis of this disorder. In this work impact of changes in ventricle region on severity stages of dementia is observed using dual deep learning techniques (DDLT). Alzheimer's Disease Neuroimaging Initiative (ADNI) database that contains 1169 MR images are used in this study. Segmentation of ventricle region is carried out using multilevel threshold based Grey Wolf Optimization (GWO) technique. The feature vectors obtained from combined AlexNet and ResNet are analysed. The fused feature vectors are given to support vector machine (SVM) to observe the severity changes. Consequently, symmetry analysis of ventricle is carried out to perceive the distinctive changes in progression. The obtained results show that ventricle region is accurately delineated from other region with optimized thresholds. The segmented ventricle shows better correlation for all considered classes (> 0.9). It is observed that DDLT with multiclass SVM provides an improved accuracy of about 79.87% compared to individual transfer learning such as AlexNet (74%) and ResNet (76.53%). Further, symmetry analysis shows that left side ventricle with DDLT features shows an improved performance than right side for onset stages. Further, clinical correlation of left ventricle seems to be statically significant (p<0.0001) which prominently differentiate dementia severity variations. This framework is more prominent and clinically useful to identify the distinct ventricle region variation in dementia.
Effect of Different Infill Types and Welding Separation on the Cyclic Behavior of Steel Shear Walls
Authors: Shallan Osman , Maaly Hassan M. , Elgiar Mohammed M. , Elsisi Alaa El-Din 
Published: April 2021

Abstract
Currently, the steel plate shear wall (SPSW) is commonly used in high-rise steel buildings as a lateral load resisting system. The SPSW consists of the boundary frame and infill plate. The objectives of this work are to study the effect of same weight different infill plate types, the effect of boundary frame characteristics, and the effect of infill plate weld separation on the seismic behavior of the SPSWs. A numerical method was proposed to have a comprehensive comparison of seismic behaviors of different types of SPSWs, having the same weight. The model was validated by using previously published numerical and experimental works. The study covers unstiffened (USPSW), stiffened (SSPSW), and corrugated steel plate shear wall (CSPSW). Similarly, the effect of boundary frame stiffness and welding separation characteristics between the plate and boundary frame will be studied, and key issues, such as load-carrying capacity, stiffness, and energy-dissipation capacity were discussed deeply. It was found that the SSPSW has better seismic behavior than USPSW and CSPSW. SSPSW has a higher load-carrying capacity than USPSW, and CSPSW by about 14, 24%, respectively. USPSW is more sensitive to the stiffness of the boundary frame than CSPSW. The plate welding separation has a greater impact on the initial stiffness than load-carrying capacity. When plate-column welding separation occurs, the initial stiffness, and the energy dissipation capacity reduces by about 21%, and 14%. Whereas, when the plate-beam separation occurs, the initial stiffness and energy dissipation capacity reduce by about 36%, and 20.5%.
Difference In The Topological Organization of White Matter Structural Connectome Between Methamphetamine and Heroin Use Disorder&nbsp;
Authors: Li Wei , Wang Lei , Lyu Zhuomin , Chen Jiajie , Sun Yichen , Zhu Jia , Wang Wei , Wang Yarong , Li Qiang 
Published: April 2021

Abstract
Background: Both methamphetamine use disorder (MAUD) and heroin use disorder (HUD) were related to the activation of the dopamine transmission, while the psychological symptoms caused by HUD and MAUD were significantly different. The topological organization of structural connection that may underlie these differences remains unknown. Methods: Demographic matched 23 male MAUD patients, 20 HUD patients, and 21 healthy controls (HC) participated in the analysis. Diffusion tensor imaging and probabilistic tractography were used for white matter network construction. Psychological symptoms were evaluated by the Symptom Checklist-90. Differences of graph-level and nodal-level properties among groups were explored. The network Hubs distribution and the relationship between the network alteration and psychological status were identified. Results: MAUD patients demonstrated significantly increased scores in anxiety, hostility, and schizophrenia nuclear symptoms. HUD group showed significantly increased global efficiency and network strength than HC and increased network strength than MAUD. Compared with HUD, the MAUD group showed significantly decreased nodal strength and efficiency distributed mainly in the temporal, parietal and occipital regions. We also found the network Hubs were decreased in MAUD group but increased in HUD group. The nodal strength in right superior temporal gyrus was significantly correlated with the psychological scores in MAUD patients. Conclusion: These findings reflect the significant differences in topological structural connection between HUD and MAUD patients. These pieces of evidences help shed some light on the neurobiological mechanisms of the psychological difference between HUD and MAUD, and extend our understanding of the structural disruption underline the MAUD related psychological symptoms.
The Impact of New-onset Atrial Fibrillation on Short-term and Long-term Mortality of Critically ill Patients with Candidemia
Authors: xiao zengli , Wang Qi , Li Xuebin , An Youzhong 
Published: April 2021

Abstract
Background

Both new-onset atrial fibrillation (NOAF) and candidemia occurred frequently in critically ill patients, which are associated with poor outcomes. But, the association between NOAF and critically ill patients with candidemia is still uncertain. This study is try to identify the impact of NOAF on short-term and long-term mortality of critically ill patients with candidemia.
Methods

We retrospectively identified NOAF in all patients with candidemia admitted to a non-cardiac intensive care unit (ICU) from January 2011 to March 2018 in a teaching hospital. We categorized these patients into 3 groups (NOAF, Prior AF, No AF) and compared clinical information between groups. Risk factors for these patients’ short-term and long-term mortality were also analyzed.
Results

Ninety-two patients with candidemia were identified from 2011 to 2018. Among these patients, 26 (28.3%) developed NOAF during their hospital stay. The multivariable logistic regression analysis indicated that stroke, anemia, Sequential Organ Failure Assessment (SOFA) score and NOAF were independent risk factors for in-hospital mortality and NOAF was also the independent risk factor for 1 year mortality.
Conclusions

There was a high incidence of NOAF in critically ill patients with candidemia, which was associated with in-hospital mortality and 1 year mortality after hospital discharge. Further multicenter studies should be conducted to help confirm this relationship and to find effective interventions that reduce short-term and long-term mortality.
Experimental Investigation and modeling of hydrogen storage in graphene nanoplatelets incorporated silicon oxycarbide ceramics
Authors: Chauhan Pawan K , Vidhukiran Venkataraman , Parameshwaran Rajagopalan , Sujith Ravindran 
Published: April 2021

Abstract
The present work focuses on synthesizing graphene nanoplatelets (GNP) incorporated amorphous silicon oxycarbide ceramic (Si-O-C) for hydrogen adsorption. The changes in the structure of the ceramic upon addition of GNP has been studied using X-ray diffraction (XRD), X-Ray Photoelectron Spectroscopy (XPS), Raman Spectroscopy and Fourier Transform Infrared (FT-IR) spectroscopy. A theoretical framework to quantify these changes is proposed in line with existing structural model. Hydrogen adsorption studies have been carried out at 100K and 2 bar using Sievert’s apparatus. Maximum gravimetric storage density (GD) of 0.16 wt.% was observed after adding 0.3 wt.% of GNP, in comparison to 0.35 wt.% for the non-GNP sample. Pores sized 2–5 nm were found to be critical for hydrogen adsorption. The study finds that GNP addition leads to an increase in the size of the silica nanodomains. This increase in nanodomain size results in increase in the pore sizes of the existing mesopores, thereby reducing the overall hydrogen uptake. Further, the addition of GNP beyond 3 wt.% is found to increase the coordination of mixed bonds (Si-O-C) in the interface which results in agglomeration and subsequent loss of porosity in the composite.
Various Thermal Coefficients İnvestigation of 3C-Sic Nanoparticles at the Different Heating Rates
Authors: Huseynov Elchin , Naghiyev Tural G. 
Published: April 2021

Abstract
Several thermal parameters were analyzed for nanocrystalline silicon carbide (3C-SiC) particles at the performed depending on the thermal processing rate. The hydroxyl groups on the surface of nanocrystalline 3C-SiC particles have been investigated as a function of temperature and heating rate. Specific heat capacity and Gibbs energy of silicon carbide nanoparticles have been determined in the temperature range of 300 ÷ 1270K at the various heating rates. The enthalpy and the entropy were calculated at different thermal processing rates (theoretical calculations are confirmed based on experimental results). Experminetal results obtained for all thermophysical parameters were comparatively studied at different thermal processing rates.PACS: 61.46.+w, 65.80.+n, 67.80.Gb
An In Vitro Nerve Agent Brain Poisoning Transwell Model for Convenient and Accurate Antidote and Nanomedicine Evaluation
Authors: Li Yao , Huang Jingyi , Xing Huanchun , Zhang Zinan , Sui Xin , Luo Yuan , Wang Yongan , Yang Jun 
Published: April 2021

Abstract
Background: Nerve agents (NAs) can irreversibly inhibit acetylcholinesterase (AChE). An effective NA antidote should permeate the blood–brain barrier (BBB) to reactivate the inhibited AChE in brain. There is an urgent requirement for the large-scale evaluation and screening of antidotes. Existing methods for evaluating reactivators in vitro can only examine the reactivation effect of drugs and not brain-target properties. The current Transwell BBB model can only evaluate the drug penetration performance for crossing the barrier, but not the pharmacodynamics. Methods: Highly purified rat brain microvascular endothelial cells (RBMECs) from 2-week-old Sprague Dawley rats were inoculated into the upper chamber of Transwell plates to establish a BBB model. Three key parameters of AChE reactivation were determined by the Ellman method: the minimum detection limit of AChE, the effective dosage of NAs (70% enzyme inhibition rate), and the optimal dosage of reactivators. AChE and NAs were added to the lower pool of Transwell plates to simulate central poisoning, and antidotes of reactivators were added to the upper pool to simulate drug administration. The AChE activity of samples, collected from the lower pool, was measured. A liposomal nanomedicine loaded with the reactivator asoxime chloride (HI-6) was prepared using the extraction method and tested by the model.Results: The obtained RBMECs exhibited a typical monolayer “paving stone” morphology, and tight junctions were expressed among the RBMECs. The concentrations of AChE, sarin, and the reactivator were 0.07 mg/mL, 10–6 v/v, and 0.03 mg/mL, respectively. The reaction rate of the reactivators obtained from the model was significantly lower than that obtained from the non-model group. Furthermore, a nanomedicine loaded with HI-6 was synthesized. The final results and rules obtained from the model were in accordance with those evaluated in vivo. Conclusion: The therapeutic effect of antidotes can be rapidly and accurately evaluated using this model. In addition to small-molecule drugs, nanomedicines can also be evaluated by this method. A liposomal nanomedicine with a high reactivation rate against the nerve agent sarin was discovered.
Chronic choriocapillaris ischemia secondary to choroidal congestion in pachychoroid neovasculopathy
Authors: Matsumoto Hidetaka , Hoshino Junki , Mukai Ryo , Nakamura Kosuke , Kishi Shoji , Akiyama Hideo 
Published: April 2021

Abstract
We evaluated choroidal congestion using multimodal imaging in pachychoroid neovasculopathy (PNV). In a retrospective case series of 100 eyes of 99 treatment-naïve PNV patients, their clinical records were reviewed and the corresponding multimodal imaging studies were analyzed. We assessed areas of choriocapillaris filling delay which overlapped with dilated outer choroidal vessels, choroidal neovascularization (CNV), and retinal pigment epithelium (RPE) atrophy. The study subjects were 78 men (78.8%) and 21 women (21.2%). The mean patient age was 67.5 ± 10.5 years. On indocyanine green angiography, all eyes showed choriocapillaris filling delay in the early phase. Dilated outer choroidal vessels were demonstrated in all eyes by en face optical coherence tomography. The areas of choriocapillaris filling delay overlapped extensively with that of dilated outer choroidal vessels. All eyes showed CNV localized within the sites of choriocapillaris filling delay. RPE atrophy was noted in 71 eyes (71.0%), and 68 of these (95.8%) had RPE atrophy within the areas showing choriocapillaris filling delay. These findings indicate chronic choriocapillaris ischemia secondary to vortex vein congestion may lead to CNV development as well as RPE atrophy in eyes with PNV.
Maternal age and maternal environment affect stress reactivity and measures of social behaviour in laying hens
Authors: Peixoto Mariana R. L. V. , Cooley Leanne , Widowski Tina M. 
Published: April 2021

Abstract
Maternal effects can shape the phenotypes of offspring, but the extent to which a layer breeder’s experience can affect commercial laying hens remains unclear. We aimed to investigate the effects of maternal age and maternal environment on laying hens' behaviour and stress response. In our first experiment (E1), commercial hybrid hens were reared either in aviary or barren brooding cages, then housed in aviary, conventional cages or furnished (enriched) cages, thus forming different maternal housing treatments. Hens from each treatment were inseminated at three ages, and measures of response to manual restraint and social stress were assessed in offspring. In experiment 2 (E2), maternal age effects on offspring's stress response were further investigated using fertile eggs from commercial breeder flocks at three ages. In E1, maternal age affected struggling and corticosterone during manual restraint, feather pecking and pulling and comb wounds. Additionally, maternal rearing and housing in aviary systems showed positive effects on measures of behaviour and stress response in offspring. Effects of maternal age were not replicated in E2, possibly due to methodological differences or higher tolerance to maternal effects in commercial breeders. Overall, we recommend researchers start reporting parent stock's age to increase our understanding of the subject.
What do deep saliency models learn about where we look in scenes?
Authors: Hayes Taylor R. , Henderson John M. 
Published: April 2021

Abstract
Deep saliency models represent the current state-of-the-art for predicting where humans look in real-world scenes. However, for deep saliency models to inform cognitive theories of attention, we need to know how deep saliency models predict where people look. Here we open the black box of deep saliency models using an approach that models the association between the output of 3 prominent deep saliency models (MSI-Net, DeepGaze II, and SAM-ResNet) and low-, mid-, and high-level scene features. Specifically, we measured the association between each deep saliency model and low-level image saliency, mid-level contour symmetry and junctions, and high-level meaning by applying a mixed effects modeling approach to a large eye movement dataset. We found that despite different architectures, training regimens, and loss functions, all three deep saliency models were most strongly associated with high-level meaning. These findings suggest that deep saliency models are primarily learning image features associated with scene meaning.
A bias-corrected CMIP6 global dataset for dynamical downscaling of future climate, 1979–2100
Authors: Xu Zhongfeng , Han Ying , Tam Chi-Yung , Yang Zong-Liang , Fu Congbin 
Published: April 2021

Abstract
Dynamical downscaling is an important approach to obtaining fine-scale weather and climate information. However, dynamical downscaling simulations are often degraded by biases in the large-scale forcing itself. Here, we construct a set of bias-corrected global dataset based on 18 models from the Coupled Model Intercomparison Project Phase 6 (CMIP6) and European Centre for Medium-Range Weather Forecasts Reanalysis 5 (ERA5). The bias-corrected data have an ERA5-based mean climate and interannual variance, but with a nonlinear trend from the mean of 18 CMIP6 models. The dataset spans the historical period of 1979–2014 and future scenarios (SSP245 and SSP585) of 2015–2100 with a horizontal resolution of 1.25° × 1.25° and 6-hourly intervals. Our evaluation suggests that the bias-corrected data shows clearly better quality than individual CMIP6 models evaluated in terms of climatological mean, interannual variance and extreme events. The presented dataset will be useful for the dynamical downscaling projections of future climate, atmospheric environment, hydrology, agriculture, wind power, etc.
Exploring Breaks in Sedentary Behavior of Older Adults Immediately After Receiving Personalized Haptic Feedback: Intervention Study
Authors: Compernolle Sofie , Van Dyck Delfien , Cardon Greet , Brondeel Ruben 
Published: April 2021

Background
“Push” components of mobile health interventions may be promising to create conscious awareness of habitual sedentary behavior; however, the effect of these components on the near-time, proximal outcome, being breaks in sedentary behavior immediately after receiving a push notification, is still unknown, especially in older adults.

Objective
The aims of this study are to examine if older adults break their sedentary behavior immediately after receiving personalized haptic feedback on prolonged sedentary behavior and if the percentage of breaks differs depending on the time of the day when the feedback is provided.

Methods
A total of 26 Flemish older adults (mean age 64.4 years, SD 3.8) wore a triaxial accelerometer (Activator, PAL Technologies Ltd) for 3 weeks. The accelerometer generated personalized haptic feedback by means of vibrations each time a participant sat for 30 uninterrupted minutes. Accelerometer data on sedentary behavior were used to estimate the proximal outcome, which was sedentary behavior breaks immediately (within 1, 3, and 5 minutes) after receiving personalized haptic feedback. Generalized estimating equations were used to investigate whether or not participants broke up their sedentary behavior immediately after receiving haptic feedback. A time-related variable was added to the model to investigate if the sedentary behavior breaks differed depending on the time of day.

Results
A total of 2628 vibrations were provided to the participants during the 3-week intervention period. Of these 2628 vibrations, 379 (14.4%), 570 (21.7%), and 798 (30.4%) resulted in a sedentary behavior break within 1, 3 and 5 minutes, respectively. Although the 1-minute interval did not reveal significant differences in the percentage of breaks depending on the time at which the haptic feedback was provided, the 3- and 5-minute intervals did show significant differences in the percentage of breaks depending on the time at which the haptic feedback was provided. Concretely, the percentage of sedentary behavior breaks was significantly higher if personalized haptic feedback was provided between noon and 3 PM compared to if the feedback was provided between 6 and 9 AM (odds ratio 1.58, 95% CI 1.01-2.47, within 3 minutes; odds ratio 1.78, 95% CI 1.11-2.84, within 5 minutes).

Conclusions
The majority of haptic vibrations, especially those in the morning, did not result in a break in the sedentary behavior of older adults. As such, simply bringing habitual sedentary behavior into conscious awareness seems to be insufficient to target sedentary behavior. More research is needed to optimize push components in interventions aimed at the reduction of the sedentary behavior of older adults.

Trial Registration
ClinicalTrials.gov NCT04003324; https://clinicaltrials.gov/ct2/show/NCT04003324
Selective head–neck cooling after concussion shortens return-to-play in ice hockey players
Authors: Gard Anna , Tegner Yelverton , Bakhsheshi Mohammad Fazel , Marklund Niklas 
Published: April 2021

We aimed to investigate whether selective head–neck cooling could shorten recovery after sports-related concussions (SRCs). In a nonrandomized study of 15 Swedish professional ice hockey teams, 29 concussed players received immediate head and neck cooling for ≥30 min (initiated at 12.3 ± 9.2 min post-SRC by a portable cooling system), and 52 SRC controls received standard management. Players receiving head–neck cooling had shorter time to return-to-play than controls (7 vs 12.5 days, p < 0.0001), and 7% in the intervention group versus 25% in the control group were out of play for ≥3 weeks (p = 0.07). Immediate selective head–neck cooling is a promising option in the acute management of SRC that should be addressed in larger cohorts.