bluuebunny/crossref_metadata_2025 huggingface dataset:
Variación de la presión arterial al realizar ejercicios aeróbicos por lo menos 150 minutos a la semana durante un seguimiento de 12 semanas en pacientes entre 30 y 50 años con obesidad grado I sin complicaciones metabólicas atendidas en Centro de Salud Jesús Poderoso durante enero 2019 a diciembre 2020
Authors:   , Acosta Leon Alejandra Leoliv
Published: June 2022

Objetivos del estudio: Identificar si se encuentra variación en la presión arterial al realizar ejercicios aeróbicos (baile, paseo en bicicleta y caminatas) por al menos 150 minutos a la semana durante un seguimiento de 12 semanas en pacientes entre 30 a 50 años con obesidad grado I sin complicaciones metabólicas atendidos en el Centro de Salud Jesús Poderoso durante enero 2019 a diciembre del 2020. Metodología: El presente protocolo es un estudio de cohorte retrospectivo, en el cual la población de estudio serán adultos entre 30 y 50 años de edad con obesidad grado I sin complicaciones metabólicas atendidos en el Centro de salud Jesús Poderoso durante periodo enero 2019 a diciembre 2020, los cuales serán sometidos a un programa de ejercicios aerobicos de 150 minutos semanales con una tiempo de seguimiento de 12 semanas, donde se va comparar el delta de presión arterial basal antes de iniciar el programa de ejercicios con la variación de presión arterial obtenida al culminar las 12 semanas que dura el programa, todos los datos serán recabados de las historias clínicas y hojas hizz, se empleará el aplicativo OpenEpi para obtener el tamaño de la muestra del estudio y para análisis estadístico se empleará programa STATA versión 16. Para recabar toda la información requerida en el estudio será previa autorización del Comité de ética de la Universidad Científica del Sur y se garantizará el cumplimiento de los principios éticos para su realización.
Clima organizacional y su influencia en el desempeño laboral del personal de la Empresa Cotton Life, Lima 2021
Authors:   , Olivera Garay Yuliana Janette , Leyva Cubillas Laura Lorena
Published: June 2022

Uno de los elementos condicionantes del desempeño laboral en las instituciones, es el clima organizacional, donde se presenta dificultades no solo en la estructura organizacional, sino también en los factores emocionales de los trabajadores como adaptarse al cambio, a la condición del trabajo y la comunicación empresarial. El estudio tuvo como objetivo la determinación de la relación entre las variables en la empresa Cotton Life. Con un enfoque cuantitativo, y un diseño correlacional causal, no experimental; tuvo una muestra de 80 trabajadores, utilizando la encuesta como técnica y el cuestionario como instrumento, y llegó a concluir: que existe una influencia directa del clima organizacional en el desempeño laboral de la empresa Cotton Life.
Influencia del sistema de gestión de incidencias y requerimientos en nivel de satisfacción de los usuarios del área de la mesa de servicio de la Caja Sullana
Authors:   , Flores Ramos Javier Felipe
Published: June 2022

El presente estudio se realizará en la organización financiera Caja Sullana, centrada específicamente en el área de mesa de servicio con el objetivo de explicar la influencia que tiene el sistema con el que vienen trabajando sobre la satisfacción de los usuarios de la organización en la zona norte I-A. Bajo las bases de las metodologías y buenas prácticas que garantizan la calidad en los servicios de Ti se formuló como la adecuada clasificación de casos, gestión de operadores de mesa de servicio y gestión de tiempos influyen en la satisfacción de los usuarios. El recojo de información se realizó bajo el instrumento de la encuesta aplicada a 80 de los usuarios. Del análisis estadístico realizado la influencia del sistema de gestión de incidencias y requerimientos tiene una relación positiva con la satisfacción de los usuarios ya que al subir su nivel sube la satisfacción del usuario y bajar el nivel se encuentra en un nivel medio de la satisfacción del usuario pero el mayor porcentaje se centra en que ambos se encuentran en un nivel medio. Concluyendo a base de los resultados que el sistema de gestión de incidencias y requerimientos que viene trabajando en el área de MS sobre la satisfacción de usuarios si bien está centrada en un nivel medio se perfila como candidato para que la organización pueda aplicar una optimización al factor mencionado.
Automatic Image Caption Generation Using Deep Learning
Authors: Verma Akash , Yadav Arun Kumar , Kumar Mohit , Yadav Divakar
Published: June 2022

Image captioning is an interesting and challenging task with applications in diverse domains such as image retrieval, organizing and locating images of users’ interest etc. It has huge potential for replacing manual caption generation for images and is especially suitable for large scale image data. Recently, deep neural network based methods have achieved great success in the field of computer vision, machine translation and language generation. In this paper, we propose an encoder-decoder based model that is capable of generating grammatically correct captions for images. This model makes use of VGG16 Hybrid Places 1365 as encoder and LSTM as decoder. To ensure the complete ground truth accuracy, the model is trained on the labelled Flickr8k and MSCOCO Captions datasets. Further, the model is evaluated using all standard metrics such as BLEU, METEOR, GLEU and ROUGE L. Experimental results indicate that the proposed model obtained a BLEU-1 score 0.6666, METEOR score 0.5060 and GLEU score 0.2469 on Flickr8k dataset and BLEU-1 score 0.7350, METEOR score 0.4768 and GLEU score 0.2798 on the MSCOCO Captions dataset. Thus, the proposed method achieved a significant performance as compared to the state-of-art approaches. To evaluate the efficacy of the model further, we also show the results of a caption generation from live sample images that reinforces the validity of the proposed approach.
One in Twenty-five Patients is suffering from Deep Vein Thrombosis in Tibebe Ghion Specialized Hospital Bahir Dar, North West Ethiopia
Authors: Mengesha Workineh , Fentahun Netsanet , Mosisa Teshome , Woretaw Habtamu
Published: June 2022

Background: Trauma leads to significant physiologic changes that result in patients at elevated risk for thromboembolism. Deep vein thrombosis is a serious condition with an incidence of 10% to 30% of people dying within 1 month. To date, there is a paucity of evidence regarding deep vein thrombosis after musculoskeletal trauma in Ethiopia. Objective: To assess the prevalence of deep vein thrombosis and its associated factors in lower extremity trauma patients in Tibebe Ghion Specialized Hospital, Bahir Dar, Ethiopia.Methods: Institutional-based cross-sectional study design was conducted on 196 lower extremity trauma patients from April 1, 2021, to July 30, 2021. Data were collected by using an interview administered questionnaire and Doppler ultrasound examination was used to detect the presence of deep vein thrombosis after taking informed consent from patients. Data analysis was done using SPSS Windows Version 26. Binary logistic regression was used to identify factors associated with deep vein thrombosis. A P-value < 0.05 was considered statistically significant. Result: The prevalence of deep vein thrombosis was 4.1%. The age of the patient greater than 60 years (AOR= 16.32; 95% CI: 1.02, 260.06); injury severity scores greater than or equal to 15 (AOR= 33.08; 95% CI: 3.60, 303.65); any comorbidity (AOR= 8.62; 95% CI: 1.10, 67.50), and length of hospital stay greater than 20 days (AOR= 8.77; 95% CI: 1.20, 64.44) were associated factors of deep vein thrombosis occurrence.Conclusion: The prevalence of deep vein thrombosis was lower in the study area compared to other studies. Age, injury severity score, any comorbidity, and length of hospital stay were independent risk factors. Attention should be given to patients with Age, injury severity score, any comorbidity, and length of hospital stay to prevent deep vein thrombosis occurrence.
Dog Ownership May Promote Cardiac Health in U.S. Military Veterans: Results from the National Health and Resilience in Veterans Study
Authors: Woodward Steven H. , Baldassarri Stephen R. , Pietrzak Robert H.
Published: June 2022

Dog ownership has been associated with reduced cardiovascular and all-cause mortality in epidemiological samples. U.S. miliary Veterans exhibit elevated rates of cardiovascular disease. Associations between dog ownership and cardiovascular disease were examined in the National Health and Resilience in Veterans Study (NHRVS) which surveys nationally representative samples of U.S. military Veterans. Dog ownership data were obtained from 3078 Veterans and cross-tabulated with self-reported cardiovascular disease and risk factors. Adjustments were made for age, gender, trauma load, posttraumatic stress disorder (PTSD), major depressive disorder (MDD), alcohol/substance use, and exercise. Relative to non-owners, dog owners (39.2% of sample) were younger, more likely to meet criteria for PTSD and/or MDD, and to report more exercise. Dog ownership was associated with lower adjusted odds of hypertension and dyslipidemia. Dog ownership interacted with exercise to lower odds of self-reported heart disease by 33% and mitigated an effect of trauma load on hypertension. Conversely, the lowering of odds for diabetes and stroke in young and middle-aged Veterans reversed sign in older Veterans. Finally, dog ownership doubled the risk for stroke in Veterans who smoked. Increased physical activity remains the most likely factor accounting for these results, though potentially adverse interactions with aging and concurrent medical conditions call for additional investigation.
Association of aspirin therapy with prognosis in patients with nonobstructive coronary artery disease: a systematic review and meta-analysis
Authors: Fan Hua-ping , Mao Shuai , Zhou Yu , Jin Jun , Zheng Quanyou
Published: June 2022

BackgroundThe effect of aspirin therapy in patients with nonobstructive coronary artery disease (CAD) remains controversial. This study aimed to investigate the association between aspirin therapy and prognosis in nonobstructive CAD.MethodsWe searched for observational cohort studies on Pubmed, Embase, the Cochrane Library and Web of Science. Studies were included that compared the endpoint differences in patients with nonobstructive CAD who were treated with aspirin or not. The primary endpoint was a composite of major adverse cardiovascular events (MACEs). Secondary endpoints included all-cause death, cardiovascular death and myocardial infarction (MI). The pooled effect size was estimated as hazard ratio (HR) with 95% confidence interval (CI), which was measured by a random effect model using the generic inverse variance method.ResultsThirteen published studies with 34,463 patients were included. Pooled data showed that aspirin therapy was not associated with the risk of MACEs (HR 1.10; 95% CI 0.85–1.41; P = 0.47, I2 = 57%). Similar results were observed in cardiovascular death (HR 1.12; 95% CI 0.73–1.73; P = 0.60, I2 = 0%) and MI (HR 0.53; 95% CI 0.09–3.20; P = 0.49, I2 = 68%), except all-cause death (HR 0.77; 95% CI 0.63–0.95; P = 0.02, I2 = 25%). Subgroup analyses showed that there were no associations between aspirin therapy and MACEs in all subsets.ConclusionsRoutine aspirin therapy might not be associated with a decreased risk of cardiovascular events in patients with nonobstructive CAD. Aspirin therapy in non-obstructive CAD should be better investigated and future research is needed. A personalized antiplatelet regimen may contribute to reduction in ischemic cardiovascular events for these patients.Registration: PROSPERO (CRD42021281706).
Primary meningeal pleomorphic xanthoastrocytoma: Case report and review of literature
Authors: Maamri Kais , Taieb Mohamed Amine Hadj , Boukhit Mohamed , Trifa Amine , Hadhri Mohamed Maher , Mili Emna , Darmoul Mehdi
Published: June 2022

Pleomorphic xanthoastrocytoma (PXA is a rare low-grade glial neoplasm of the central nervous system accounting for less than 1% of all astrocytomas. Similar to other gliomas, it can rarely arise from glial nests in the meninges, manifesting as an extra-axial mass mimicking a meningioma.In this article, we report the fourth case, so far, of a solitary primary meningeal PXA in a 23-year-old woman who presented with temporal seizures and features of raised intracranial pressure.
Highly Secured and Quickest Image Encryption Algorithm Based on Trigonometric Chaotic Map and S-Box
Authors: Chinram Ronnason , Bano Mahwish , Habib Umair , Singavananda Pattarawan
Published: June 2022

A significant number of image encryption plans have been proposed during the latest years. By far most of such plans arrive at a high-security level; be that as it may, their moderate velocities due to their complex phenomenon make them of no utilization progressively applications. Propelled by this, we propose another proficient and quick image encryption plan subject to the Trigonometric turbulent aide. In contrast to the most of current plans, we utilize this basic map to create just a couple of arbitrary rows and columns in the form of S-boxes. Besides, to moreover accelerate, we raise the handling unit from the pixel level to the line/segment level. Security of the new plan is acquired through a replacement stage organization, where we implemented around the shift of lines and segments to break the strong relation of adjoining pixels and non- repeating sequences. By then, we join the XOR activity with modulo capacity to cover the pixel esteems and thwart any spilling of information. High-security tests and reenactment examinations have been done to display that the plan is extremely safe and particularly speedy for continuous picture preparation at 80 fps (frames per second). Finally, encryption is made using XOR with S-box and image matrices. High security is achieved due to non-repeating sequence of trigonometric chaotic map. Reversal is quick and flawless.
Physiological response of pinto bean plants (Phaseolus vulgaris) to Trichoderma spp. Inoculants
Authors: Rezaloo Zahra , Aliloo Ali Asghar , Shahbazi Samira , Salajoughi Mansour
Published: June 2022

Five species of Trichoderma fungi (i.e., T. harzianum (MW718882), T. lixii (MW719563), T. ghanens (MW719590), T. virens (MW719876), and T. atroviride (MW719255) and their mutant isolates i.e., T. harzianum mutant (NAS108 M1), T. lixii mutant (NAS114-M17), T. ghanens mutant (ON545796), T. virens mutant (NAS115 M17), and T. atroviride mutant (NAS112M2) were used to produce three types of biological fertilizers, on the pinto bean were studied. Experiments with seven treatments: control (non-inoculation), biopriming seed with mixture of spores for seed treatment (wild type and mutant), suspension of isolates (talc based) (wild type and mutant) and treatment of spores mixture in soil (wild type and mutant) at the Nuclear Agriculture Research Institute in the form of a completely randomized design with four replications were done. The concentration of soluble protein, proline content, malondialdehyde, chlorophyll a, b, and carotenoids, and the activity of enzyme peroxidase and polyphenol oxidase in leaf samples treated with Trichoderma fungus biofertilizer were compared with control. Protein profiles were studied in bean leaf using SDS-PAGE test and the activity of peroxidase and polyphenol oxidase enzymes and determination of its enzyme subunits were investigated using the zymogram method. The results showed that the best effect of the bean plant was from biopriming seeds with mixture of spores for seed treatment. The concentration of Protein, proline, chlorophylls and carotenoids in the Trichoderma treatments was higher than control. Also, the level of activity of peroxidase and polyphenol oxidase enzymes was more than control in fungal treatments. Changes were observed in protein SDS-PAGE. The zymogram also showed changes that were due to the presence of the Trichoderma treatments. The rate of peroxidase bands in treatments was much higher than the control. It was also altered in the zymogram from polyphenol oxidase and there was no band on the control. Overall, the results of this experiment showed that the use of Trichoderma fungi is suitable for improving the physiological characteristics of beans and the plant makes the changes desirable.
Endoscopic third ventriculostomy for the management of children with cerebrospinal fluid disorders, ventriculomegaly and associated Chiari I Malformation
Authors: Saenz Amparo , Piper Rory J. , Thompson Dominic , Tahir M Zubair
Published: June 2022

Purpose: Our objective was to review the outcomes of children with CIM and associated cerebrospinal fluid (CSF) disorders and ventriculomegaly undergoing endoscopic third ventriculostomy (ETV) as a primary intervention.Materials and methods: A retrospective, single-centre, observational cohort study was conducted, of consecutive children with CIM with associated CSF disorders and ventriculomegaly treated first by ETV between January 2014 and December 2020.Results: Raised intracranial pressure symptoms were the most frequent with ten patients followed by posterior fossa and syrinx symptoms in three cases.One patient had a later closure of the stoma and required a shunt insertion. The success rate of the ETV in the cohort was 92% (11/12). There was no surgical mortality in our series. No other complications were reported.The median herniation of the tonsils was not statistically different in the pre vs post-operative MRI (1.14 vs. 0.94, p=0.1). However, the median Evan’s index (0.4 vs 0.36, p<0.01) and the median diameter of the third ventricle (1.35 vs. 0.76, p<0.01) were statistically different between the two measurements. The preoperative length of the syrinx did not change significantly when compared with the postoperative (5 vs. 1; p=0.052), nevertheless, the median transverse diameter of the syrinx did improve significantly after the surgery (0.75 vs. 0.32, p=0.03).Conclusions: Our study supports the safety and effectiveness of ETV for the management of children with CSF disorders, ventriculomegaly and associated CIM.
Uncertainty quantification of rainfall-runoff simulations using the copula-based Bayesian processor：impacts of seasonality，copula selection and correlation coefficient
Authors: Liu Zhangjun , Zhang Jingwen , Wen Tianfu , Cheng Jingqing
Published: June 2022

The outputs of Rainfall-runoff models are inherently uncertain and quantifying the associated uncertainty is crucial for flood control, reservoir operation and relevant water resources management activities. This study presents the uncertainty quantification of rainfall-runoff simulations using the copula-based Bayesian processor (CBP) in Danjiangkou Reservoir basin, China. The variable infiltration capacity (VIC) model was established to simulate daily flows of Danjiangkou Reservoir basin. The Nash-Sutcliffe efficiency (NSE) and Relative Error (RE) were used as performance criteria for deterministic simulations, while quantile-quantile (QQ) plot, reliability (α-index), resolution (π-index) and continuous rank probability score (CRPS) for probabilistic simulations. The seasonality of uncertainty in rainfall-runoff modeling is explored, and impacts of copula selection and correlation coefficient on uncertainty quantification results are investigated. Results show that the overall performance of the CBP is satisfactory, which provides a useful tool for estimating the uncertainty of rainfall-runoff simulations. It is also demonstrated that the dry season has higher reliability and greater resolution compared with wet season, which illustrates that the CBP captures the actual uncertainty of rainfall-runoff simulations more accurately in dry season. Moreover, the performance the CBP highly depends on the selected Copula function and considered Kendall tau correlation coefficient. As a result, great attention should be paid to selecting the appropriate Copula function and effectively capturing the actual dependence between observed and simulated flows in the CBP-based uncertainty quantification of rainfall-runoff simulations practice.
Estimation and attribution of water storage changes in regulated lakes based on Budyko's supply–demand framework
Authors: Zhou Mi , Xiong Lihua , Chen Gang , Chen Jie , Liu Dedi , Li Shuai
Published: June 2022

Understanding changes in lake water storage (LWS) and its attribution to climate change and human activities is essential for adaptive management of water resources in regulated lakes. Although altimetric measurements, whether ground- or satellite-based, can reproduce LWS dynamics, they do not provide sufficient information on why LWS is changing. Neither the water balance method nor detailed hydrological modeling can capture exactly LWS change in most regulated lakes largely because of the scarcity of water output observations. Here, a simple water balance model, following Budyko’s supply–demand framework, was proposed to estimate LWS change in regulated lakes without the need for water output information. The elasticity of LWS was theoretically derived from the Budyko-based model to attribute LWS change to its main driving factors. The annual LWS observed during 1964–2019 under three different regulation plans in Lake Dianchi, which is a typical regulated lake located in southwest China, was used to calibrate and test the proposed model. Comparison between the estimated results and observed data indicated that the model accurately captured the variations of annual LWS in Lake Dianchi with a relative root mean square error of 4.08%, and mean absolute percentage error of 2.88%. The attribution results suggested that lake regulation strategies were the primary cause of LWS change in Lake Dianchi, while water transfer had a limited contribution. This study suggests that complex hydrological behavior in regulated lakes can be explored using Budyko's supply–demand framework with a low requirement for data. This can provide effective guidance to lake managers and policymakers for adaptive management of water resources in regulated lakes.
On-site colorimetric detection of Salmonella typhimurium based on peroxidase-like activity of aptamer-functionalized 3D covalent organic frameworks embedded with gold nanoparticles
Authors: Zhao Chao , Wei Shengnan , Su Zhenyue , Bu Xiangong , Shi Xuening , Pang Bo , Zhang Liang , Li Juan
Published: June 2022

Rapid qualitative and quantitative detection of Salmonella typhimurium (S. typhimurium) takes an important role in ensuring food safety. Herein, a colorimetric assay aptasensor for S. typhimurium utilizing intrinsic peroxidase-like activity of Au nanoparticles embedded 3D covalent organic framework and the affinity and specificity of S. typhimurium-aptamer has been explored. This aptasensor can capture the S. typhimurium via the selective binding effect of aptamer, and the catalytically active sites were shielded. As a result, the colorimetric signals of the 3,3’,5,5’-tetramethylbenzidine-H2O2 system were turned off. Under optimum conditions, the aptasensor gave a linear response over the range of 10 to 107 CFU/mL for S. typhimurium. The detection limit of 7 CFU/mL was obtained within 45 min and was effectively applied to detect S. typhimurium in milk and lake water samples with recoveries in the range from 96.4–101.0%. More importantly, combined with a self-developed smartphone-based image analysis system, the proposed aptasensor can be used for point-of-care testing applications
Exploring the nexus between natural resources depletion, renewable energy and environmental degradation in sub-Saharan Africa: A panel quantile regression
Authors: Byaro Mwoya , Nkonoki Juvenal , Mafwolo Gemma
Published: June 2022

This study explores the nexus between natural resources depletion, renewable energy and environmental degradation in 48 sub-Saharan African (SSA) countries from the period 2000 to 2020 using generalized panel quantile regression. The findings show that, at 90th quantiles the magnitude of natural resources depletion is positive and stronger associated with environmental degradation in SSA. This is probably attributed by countries with higher natural resources depletion such as Congo Republic (37.10%), Equatorial Guinea (27.60%), Angola (21.14%), Gabon (12.84%), Chad (12.19%), Burundi (8.92%), Uganda (6.16%) and Congo Democratic (5.24%). Furthermore, at lower quantiles (30th and 10th ), natural resources depletion negatively affects environmental degradation in SSA. This might be attributed by countries with negligible natural resource depletion like Carbo Verde (0.16%), Central African Republic (0.04%), Comoros (1.17%), Eswatini (0.01%), Gambia (0.92%), Guinea-Bissau (0.33%) and Madagascar (0.07%). Moreover, the findings show that renewable energy reduces environmental degradation and is statistically significant at almost all quantiles. Finally, the findings reveal that industrialization, trade and economic growth all contribute to environmental degradation (i.e. carbon emissions) in SSA. The policy implication is to adopt measures that reduce poverty levels, which is linked to natural resources depletion and scaling up renewable energy use technologies for SSA. Concurrently, we propose the natural resource management to be multi-sectoral and integrated into institutional structures by allocating fund to the natural resources sector for intervention programs in SSA countries. All these initiatives will help to reduce carbon emissions and protect the environment in future.
Effect of perioperative continuous infusion of S-ketamine on the quality of postoperative recovery of patients undergoing modified radical mastectomy: a randomized controlled trial
Authors: Zhang Ke yao , Bao Yuan , Wang Min , Yang Yi , Zhai Wenshan , Gao Fang
Published: June 2022

Background: Patients undergoing modified radical mastectomy (MRM) often suffer some postoperative adverse events such as acute pain, mental abnormalities, and sleep disorders. This study aim to explore the effect of esketamine as the sole intraoperative analgesic on the quality of postoperative recovery in patients undergoing MRM.Methods: Ninety-eight female patients scheduled for elective MRM were randomly divided into two groups: the esketamine group (group E) or remifentanil group (group R). In group E, anesthesia was induced with etomidate, midazolam, esketamine, and rocuronium, and maintained with intravenous propofol and esketamine. In group R, anesthesia was induced with etomidate, midazolam, rocuronium, and remifentanil, and maintained with propofol and remifentanil. The scores of the Quality of Recovery (QoR-40) questionnaire, and Pittsburgh Sleep Quality Index (PSQI) were evaluated at 1 d, 3 d, 7 d, and 30 d after surgery as primary outcome and main secondary outcome respectively. Other secondary outcomes including intraoperative hemodynamics, postoperative inflammatory indicator, and the incidence of adverse events (e.g., vomiting and dizziness) during hospitalization were also recorded.Main Results: QoR-40 total scores in group E were higher than group R at 1 d [160.71±9.811 VS 146.94±7.375, P＜0.001], 3 d [168.45±9.670 VS 152.90±8.089, P＜0.001], 7 d [180.06±7.367 VS 175.20±6.334, P=0.001] postoperatively. The PSQI scores in group E were lower than group R at 1 d [14.18±1.740 VS 17.20±1.87, P＜0.001], 3 d [11.82±1.799 VS 16.31±2.133, P＜0.001], 7 d [7.71±1.814 VS 9.65±1.832, P＜0.001] after surgery. Conclusion: Our research shows that esketamine has a certain effect on improving the quality of short-term recovery after MRM.Clinical Trials Registration: Clinical Trials gov: ChiCTR2200056576. registered February 8th, 2022, http://www.chictr.org.cn/index.aspx.
Network evaluation of an innovation platform in continuous quality improvement in Australian Indigenous primary health care
Authors: Cunningham Frances Clare , Potts Boyd Alexander , Ramanathan Shanthi Ann , Bailie Jodie , Bainbridge Roxanne Gwendalyn , Searles Andrew , Laycock Alison Frances , Bailie Ross Stewart
Published: June 2022

Background
From 2014–2019, the Centre of Research Excellence in Integrated Quality Improvement (CRE-IQI) was evaluated as an innovation platform focusing on continuous quality improvement in Indigenous Australian primary health care. Although social network analysis (SNA) is a recognised method for evaluating the functioning, collaboration and effectiveness of innovation platforms, applied research is limited. This study applies SNA to evaluate the CRE-IQI’s functioning as an innovation platform.
Methods
Two surveys (2017, 2019) were conducted using social survey and network methods. Survey items covered respondent characteristics, their perceptions of the CRE-IQI’s performance, its impact and sociometric relationships. Members’ relationship information was captured for the CRE-IQI at three timepoints: start (retrospectively), mid-term, and final year on three network types (knew, shared information, collaborated). SNA software was used to compute standard network metrics such as diameter, density and centrality, and develop visualisations. Survey and network results were workshopped by members to develop improvement strategies.
Results
The response rate was 80% in 2017 and 65% in 2019, n = 49 and 47 respectively. Between 2017 and 2019 respondents’ mean ratings of the CRE-IQI’s functioning and achievements in meeting its goals increased. They perceived the CRE-IQI as multi-disciplinary, having effective management and governance, and incorporating Indigenous research leadership, representation and ways of working. Respondents recognised high levels of trust amongst members, rated ‘good communication and coordination with participants’ highly, and ‘facilitating collaboration’ as the CRE’s most strongly recognised achievement. In collaboration and information sharing networks, average path length remained low in 2017 and 2019, indicating good small-world network properties for relaying information. On average, respondents shared information, and collaborated, with more CRE members in 2017 than 2019. However, in both 2017 and 2019 there were new collaborations and information sharing outside of direct collaborations. CRE-IQI outcomes included: evidence generation; knowledge transfer and skills development in quality improvement; research capacity building, career development; mentoring; grant support; development of new projects; health service support; and policy impact.
Conclusion
This study shows the utility of network analysis in evaluating the functioning, and collaboration, at individual, organisational and health system levels, of an innovation platform, and adds to our understanding of factors enabling successful innovation platforms.
14-3-3ζ mediates GABAAR activation by interacting with BIG1
Authors: Li Cuixian , Huang Shen , Peng Jin , Hong Tianguo , Zhou Chun , Tang Jie
Published: June 2022

Most fast synaptic inhibitions in the mammalian brain are mediated by GABAA receptors (GABAARs). An appropriate level of GABAAR expression at the cell surface is essential for neurodevelopment and the efficacy of GABAergic synaptic transmission. We previously reported that brefeldin A-inhibited GDP/GTP exchange factor 1 (BIG1), a binding partner of GABAARs, plays an important role in trafficking GABAARs to the cell surface. However, its regulatory mechanisms remain unknown. In the present study, we identified a new cellular protein, 14-3-3ζ, which can interact with the β subunit of GABAARs and BIG1 both in vitro and in vivo and colocalizes in the soma, dendrites and axons of hippocampal neurons. Overexpression of 14-3-3ζ-WT increased the surface expression of BIG1 in dendrites and axons, as well as the binding of BIG1 with GABAAR. Depleted 14-3-3ζ with efficacious siRNA attenuated the interaction between BIG1 and GABAARs and resulted in significant decreases in the surface expression levels of BIG1 and GABAAR. GABAAR agonist treatment increased the expression levels of BIG1 and 14-3-3ζ on the surface, indicating that 14-3-3ζ is involved in regulating BIG1-mediated GABAAR surface expression. Depletion of BIG1 or 14-3-3ζ significantly decreased GABAAR expression at the cell surface and suppressed the GABA-gated influx of chloride ions. These data indicate that the combination of 14-3-3ζ and BIG1 is required for GABAAR membrane expression. Our results provide a potential promising therapeutic target for neurological disorders involving GABAergic synaptic transmission.
Blocking P2RX7 attenuates ferroptosis in endothelium and reduces HG-induced hemorrhagic transformation after MCAO by inhibiting ERK1/2 and P53 signaling pathways
Authors: Liu Chengli , Tian Qi , Wang Jianfeng , He Peibang , Han Shoumeng , Guo Yujia , Yang Chen , Wang Guijun , Wei Heng , Li Mingchang
Published: June 2022

Background
Hyperglycemia is a risk factor for poor prognosis after acute ischemic stroke and promote the occurrence of hemorrhagic transformation (HT). The activation of P2RX7 play an important role in endotheliocyte damage and BBB disruption. Ferroptosis is a novel pattern of programmed cell death caused by the accumulation of intracellular iron and lipid peroxidation, resulting in ROS production and cell death. This study is to explore the mechanism of P2RX7 could reduce HT pathogenesis after acute ischemic stroke through regulating endotheliocyte ferroptosis.
Methods
Male SD rats were performed to establish middle cerebral artery occlusion (MCAO) model injected with 50% high glucose (HG) and HUVECs were subjected to OGD/R treated with high glucose (30mM) for establishing HT model in vivo and in vitro. P2RX7 inhibitor (BBG) and P2RX7 small interfering RNAs (siRNA) were used to investigate the role of P2RX7 in BBB after MCAO in vivo and OGD/R in vitro, respectively. The neurological deficits, infarct volume, degree of intracranial hemorrhage, integrity of the BBB, immunoblotting and immunofluorescence were evaluated both 24 h after MCAO.
Results
Our study found that the level of P2RX7 was gradually increased after MCAO and/or treated with HG. Our results showed that treatment with HG after MCAO can aggravate neurological deficits, infarct volume, oxidative stress, iron accumulation and integrity of the BBB in HT model, and HG-induced HUVECs damage. The inhibition of P2RX7 reversed the damage effect of HG, significantly downregulated the expression level of P53, HO-1 and p-ERK1/2 and upregulated the level of SLC7A11 and GPX4, which implicated that P2RX7 inhibition attenuated oxidative stress and ferroptosis of endothelium in vivo and in vitro.
Conclusion
Our data provide evidence that the P2RX7 play an important role in HG-associated oxidative stress, endothelial damage and BBB disruption, which regulates HG-induced HT by ERK1/2 and P53 signaling pathways after MCAO.
The detection of four major clades and new species from China with elongated cheilocystidia: A contribution to the genus Mallocybe (Inocybaceae, Agaricales)
Authors: Hu Jian-hua , Yu Wen-jie , Deng Lun-Sha , Fan Yu-Guang , Bau Tolgor , Lin Wen-Fei
Published: June 2022

Mallocybe is a newly elevated genus of the ectomycorrhizal mushroom family, Inocybaceae, based on Inocybe subg. Mallocybe. Although new species in this genus have constantly been discovered worldwide during the past decades, species native to China is poorly documented. Moreover, as a characteristic feature, members of this genus often have phaseoliform basidiospores and short catenated cheilocystidia. Therefore, this study describes three new Chinese Mallocybe species with elongated cheilocystidia through morphological and molecular analyses. Of the identified species, while M. pallidipes was collected from Populus in northeastern China, M. aurantiodisca was discovered in subtropical evergreen broad-leaved forests dominated by Castanopsis in the Zhejiang Province, and M. longsicystis was discovered under fagaceous forests in tropical and subtropical China. From the multi-gene phylogenetic analysis, four major clades were also elucidated in the genus, of which three new species were grouped with three North American species in a full support clade. Finally, we discussed the systematic position of the new species and the genus's infrageneric phylogeny.
Abnormal aortic flow related to left ventricular mass and volume in coarctation: a four-dimensional flow CMR study
Authors: Warmerdam Evangeline Gerdine , Sotelo Julio , Driesen Bart W. , Uribe Sergio , Westenberg J. J.M , Leiner Tim , Krings Gregor J. , Molenschot Mirella C. , Zwaan Heleen B. van der , Voskuil Michiel , Grotenhuis Heynric B.
Published: June 2022

Background After successful repair for coarctation of the aorta (CoA) abnormal blood flow patterns can be present, which may have a negative impact on left ventricular (LV) performance. The aim of this study is to investigate the relationship between aortic haemodynamics assessed by four-dimensional flow (4D flow) cardiac magnetic resonance imaging (CMR) and LV performance in CoA patients. Methods CoA patients with a clinical indication for CMR underwent additional 4D flow acquisition. Wall shear stress, oscillatory shear index, vorticity, viscous dissipation, energy loss, kinetic energy and velocity angle were assessed for several aortic segments at peak-systole. Global pulse wave velocity (PWV) was assessed for the entire aorta. Results In total, 17 CoA patients were included. Increased velocity angle in the ascending aorta was correlated with decreased LV mass (p=0.0445). Energy loss at the CoA site and increased degree of vorticity in the descending aorta were correlated with increased LV end-diastolic and end-systolic volume (p=0.0499, p=0.0461, respectively). Aortic PWV was correlated with LV mass and LV end-systolic volume (p=0.0385, p=0.0397, respectively). Conclusion Adverse aortic-ventricular interaction in CoA patients was demonstrated by abnormal aortic haemodynamics by 4D flow assessment which were associated impaired LV performance. 4D flow CMR may provide novel parameters to assess aortic-ventricular interaction.
Formulation and Development of a Curcumin-Piperine Loaded Nanoemulsion for the Treatment of Alzheimer’s Disease
Authors: Ahmad Shmmon , Hafeez Abdul
Published: June 2022

Background and Objective:
Curcumin (Cur) and piperine (Pip) are very well-known phytochemicals that claimed to have many health benefits and have been widely used in foods and traditional medicines. This study investigated the therapeutic efficacy of these compounds to treat Alzheimer’s disease (AD). However, poor oral bioavailability and permeability of curcumin are a major challenge for formulation scientists. In this research study, the researcher tried to enhance the bioavailability & permeability of curcumin by a nanotechnological approach.
Materials and Methods
In this research study, we developed a Cur-Pip-loaded SNEDDS in various oils. Optimized formulation NF3 was subjected to evaluate its therapeutic effectiveness on AD animal model in comparison with untreated AD model and treated group (by market formulation donepezil).
Results
On the basis of characterization results it is confirmed that NF3 formulation is the best formulation. The optimized formulation shows a significant dose-dependent manner therapeutic effect on AD-induced model
Conclusion
Novel formulation Cur-Pip Solid-SNEDDS was successfully developed and optimized. It’s expected developed S-SNEDDS can be a potential, safe and effective carrier for the oral delivery of curcumin to the brain. This research article first reported the bio-active S-SNEDDS of Cur-Pip effect on Alzheimer's.
Integrated Analysis of the Oncogenic Value of CPNE1 and CPNE3 in Non-Small Cell Lung Cancer
Authors: Du Wenwen , Pang Pei , Chen Cheng , Zhu Jianjie , Zeng Yuanyuan , Zhang Sheng , Liu Zeyi , Huang Jian-an
Published: June 2022

Background
Copines (CPNEs) are calcium-dependent, soluble and ubiquitous proteins found in eukaryotic organisms and protists. Recent evidence has also highlighted the roles of these protein play in regulating cancer immune responses and development. However, the specific expression, distribution and roles of CPNEs in NSCLC are poorly studied.
Methods
GSE and GEPIA2 database were selected to explore the expression levels of CPNEs in lung cancer tissues, which were verified by qRT-PCR analysis. The Kaplan-Meier plotter and GEPIA database were used to assess the effect of CPNE expression on patient survival. cBioportal database was used for genetic mutation analysis. FunRich database were used to predict the potential biological pathway. Finally, ssGSEA database was performed for immune infiltration analysis.
Results
Among all CPNEs, high expression of CPNE1 and CPNE3 were valuable for predicting both OS and DFS in lung cancer patients, which were associated with advanced TNM stages, lymph node metastasis and drug resistance to EGFR-TKIs. However, no statistical significance between CPNEs and the efficiency to immunotherapy was observed, which was further validated by weak correlation between CPNEs expression and immune cell infiltration levels. The processes of regulation of nucleobase and nucleotide, signal transduction, cell metabolism were involved in the effect of CPNE1 and CPNE3 on tumor pathogenesis. In terms of biological pathways, TGF-beta pathway, PI3K/AKT pathway, mTOR pathway and EGFR signaling pathway were most relevant to CPNE1 and CPNE3.
Conclusions
We highlighted the protumor role of CPNE1 and CPNE3 among all CPNEs, which may provide important therapeutic targets for lung cancer.
CNN-CardioAssistant: Deep Convolutional Neural Network and Recursive Feature Elimination Method for Heart Disease Detection
Authors: HASSAN FARMAN , Rahman Auliya Ur , Javed Ali , Alhazmi Ali , Alhazmi Majed
Published: June 2022

In recent times, we have seen an exponential rise in different chronic diseases due to our unhealthy lifestyles. Cardio disease is the most common and life-threatening among all diseases, which contributes to a very high mortality rate. Accurate detection of cardio disease at an early stage is vital to save the lives of people. Most of the existing cardiovascular disease detection systems suffer from lower performance and efficiency due to redundant attributes, dimensionality curse, imbalance, and noisy datasets. In this work, we proposed a novel convolutional neural networks-based system (CNN-cardioAssistant) that predicts cardiovascular disease in patients. Recursive feature selection (RFE) is employed to select more prominent features from the clinical data of cardio patients. The selected features are then used to train the proposed CNN-CardioAssistant as well as 11 different classifiers i.e., support vector machine (SVM), Random Forest, Decision Tree, logistic regression, Naïve Bayes, K-Nearest Neighbor, XGboost, Multi-layer Perceptron, Gaussian process classifier, Adaboost, and Quadratic discriminant analysis separately for cardio disease prediction. We compared the results of all the methods on three subsets of features i.e., 6,8, and 15 for each dataset. The features selection method provides optimal subsets of features that can reliably be used to predict cardiovascular disease with the highest accuracy. Experimental results on three different cardio datasets i.e., Public Health, Framingham, and Z-Alizadeh sani clearly demonstrate that the proposed CNN-CardioAssistant system has superior performance against the existing state-of-the-art methods.
Epidemiological characteristics of notifiable respiratory infectious diseases in mainland China from 2010 to 2019
Authors: Deng Lele , Han Yajun , Wang Jinlong , Liu Haican , Li Guilian , He Guangxue , Wang Dayan
Published: June 2022

Background: Respiratory infectious diseases (RIDs) pose threatens to people’s health, some of them are serious public health problems. The aim of our study was to explore epidemic situations of all notifiable RIDs and the epidemiological characteristics of six most common RIDs in mainland China.Methods: We first collected the surveillance data of all 12 statutory notifiable RIDs for 31 provinces in mainland China that reported between January 1, 2010 and December 31, 2019, and then six most prevalent RIDs were chosen to analyze their spatial, temporal, seasonal and population distribution characteristics. Descriptive analysis was used to present the spatial and population distribution characteristics. Joinpoint regression model was used to explore the temporal trends and seasonal decomposition was used to explore seasonal characteristics.Results: From 2010 to 2019, there were 18 746 367 notifiable cases and 28 816 death cases of RIDs in mainland China. The incidence rate of RIDs increased from 109.85/100 000 in 2010 to 340.94/100 000 in 2019. The mortality of RIDs decreased from 0.24/100 000 in 2010 to 0.23/100 000 in 2019. The six most common RIDs were pulmonary tuberculosis (PTB), seasonal influenza, mumps, pertussis, measles and rubella. From 2010 to 2018, the incidence rates showed decreases in PTB and rubella, increases in pertussis and seasonal influenza, and irregular changes in measles and mumps. The mortality showed an increase in PTB from 2015 to 2018 and irregular change in seasonal influenza. PTB was mainly prevalent among people aged 15 years old and over, while the other five common RIDs mostly occurred among people younger than 15 years old. The incidence of the six common RIDs mostly occurred in winter and spring. The incidence rate of PTB was higher in the northwestern and southwestern China. The incidence rates of pertussis, measles and rubella were relatively lower in whole country.Conclusions: PTB, seasonal influenza and mumps remain the public health problems in China, suggesting that continuous government input, more precise and effective interventions, and a digital/intelligent surveillance and warning system are required to improve RIDs prevention and control efforts.
Schlieren Image Velocimetry of Swirl Sprays
Authors: Machado Danilo Almeida , Costa Fernando Souza , Andrade José Carlos , Dias Gabriel Silva , Fischer Gustavo Alexandre Achilles
Published: June 2022

Schlieren image velocimetry is based on light deflection through flow heterogeneities and image cross-correlations. This is a low-cost and relatively low complexity technique that allows measurement of the droplet velocity field in a large region of a spray. A Z-type Toepler schlieren system with a high-speed camera was used to determine mean vertical and horizontal droplet velocities, as well as the cone angles of sprays produced by a pressure swirl injector with characteristic geometric constant K = 2. Different LEDs and digital filters were evaluated for edge detection and improvement of image contrast. Open software was adopted for digital image processing and velocimetry. Interrogation windows and overlaps of different sizes were tested to obtain an appropriate correlation for determination of the velocity field. The digital images were obtained with 5×103 fps and a resolution of 2.77 pixels/mm. Since the swirl sprays analysed presented instabilities, a number of 100 cross-correlations of images was required to reduce mean velocity fluctuations. Injection pressures varied from 0.05 to 7 bar and mass flow rates varied from 1.389 to 13.89 g/s, using water as test fluid. The wideband warm white LED with Laplacian or high-pass filters provided velocity data for a larger range of injection pressures. Mean axial velocities varied from 3.3 to 11.3 m/s, approximately, with mean horizontal velocities varying from around 0.17 to 3.3 m/s for pressures from 0.05 to 3.22 bar. The velocity data were compared to microscopic shadowgraphy results, showing a good agreement. Spray cone angles ranged from about 32.5o to 69.5o, for injection pressures from 0.05 to 7 bar, and results of triangulation with a blue LED were closer to semi-empirical data.