bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Development of a Community-based COVID-19 Public Health Intervention in Rural Ghana
Authors: Frimpong Shadrack Osei , Seidu Moro , Hilton Sam Kris , Ransome Yusuf , Paintsil Elijah , Talbert-Slagle Kristina , Dorcoo-Attipoe Sharon , Brayne Carol 
Published: September 2021

Abstract
Background: The Promoting Action on Research Implementation in Health Services (PARIHS) framework was utilized to design an evidence-based practice, Cocoa360’s COVID Preparedness & Outbreak Prevention Plan (CoCoPOPP), for rural communities in Ghana. Through participatory academic-community team discussion, interactive dissemination, systematic review of evidence about community-based interventions during Ebola, HIV/AIDS, and Influenza outbreaks and effective engagement with local and national stakeholders, CoCoPOPP was developed to be consistent with the PARIHS framework. Methods: Applying the three core elements of the PARIHS framework (evidence, context, and facilitation), the designers developed orientation, logistic needs and planning, and social mobilization. Components of CoCoPOPP also included participant recruitment and training, communication, research, monitoring & evaluation plan, execution, technical assistance, and facilitation. Results: This intervention achieved three (3) main aims: (1) meet a pressing health need during the COVID-19 pandemic in local underserved settings, (2) ensure that the strategy is informed by high-quality evidence from similar interventions in past outbreaks, and (3) evaluate and learn from research on interventions to garner data. Beyond the impact on health outcomes and healthcare services utilization, CoCoPOPP sought to garner data for organizational use and to share insights on pandemic management and control with the Ghanaian government and the broader global health community. Conclusion: The use of evidence-based public health framework, PARIHS, renders CoCoPOPP a replicable community-based model that can be implemented in other rural communities in Ghana and other Sub-Saharan African counties with similar cultural settings.
Adsorption of Estrogenic Hormones in Aqueous Solution Using Electrospun Nanofibers From Waste Cigarette Butts: Kinetics, Mechanism, and Reusability
Authors: Yasir Muhammad , Šopík Tomáš , Patwa Rahul , Kimmer Dušan , Sedlařík Vladimír 
Published: September 2021

Abstract
This study emphasizes rapid and simultaneous adsorptive removal of estrogenic hormones (EHs): estrone (E1), 17β-estradiol (E2), 17α-ethinylestradiol (EE2), and estriol (E3) from wastewater using recycled waste cigarette electrospun nanofibers (WCENFs). The nanofibers exhibited a small diameter (196±65 nm) and large surface area (18.05 m 2 /g), along with a strong affinity towards all EHs by adsorption due to abundant hydrogen bonding interactions. A one-step high-performance liquid chromatography technique was developed to detect each EH present in the solution simultaneously. The adsorption kinetics helps select optimum conditions for the large-scale removal process, so experimental data using pseudo-first-order, pseudo-second-order, intra-particle diffusion, Elovich, and fractional power models were fitted. It was found that E1, E2, and EE2 followed pseudo-second-order kinetics while E3 followed pseudo-first-order kinetic models. The total adsorption capacity on WCENFs was determined to be 2.14 mg/g, whereas the individual adsorption capacities of E1, E2, EE2, and E3 were found to be 0.551, 0.532, 0.687, and 0.369 mg/g, respectively. The percentage efficiency of WCENFs was highest with EE2 ~64.3% and least with E3 ~34.6%. Adsorption-desorption studies revealed that WCENFs could repeatedly be used four times. The reported results indicate a significant potential of WCENFs to be an effective sorbent and portable filter for simultaneous estrogenic hormone removal. WCENFs filter is a suitable alternative to commercial Cellulose acetate filters.
Is Decision-Making For Health Care Related To Health Facility Delivery Among Married Women In Uganda? Analysis From DHS 2016
Authors: Akello Harriet 
Published: September 2021

Abstract
Background Most maternal and neonatal deaths occur in low and middle incomes, and more than half takes place within the first day of birth. These deaths could be prevented if delivery was attended to by skilled health professionals in the health facilities. Empirical studies have reported several factors associated with low facility-based delivery. Limited literature is available on the relationship between women autonomy and health facility delivery in Uganda. This study aims to establish the relationship between decision-making for health care and health facility delivery among married women in Uganda. Method: The data used for the cross-sectional study was from the Uganda Demographic Health Survey 2016. The study used a sample of 1541 women who gave birth within five years before the survey. Proportions, odds ratio and 95% confidence interval were used to estimate the health facility delivery for each independent variable using the level of significance of p < 0.05. Binary logistics regression was used to calculate the odds ratio for the different variables. Results: 49% of the women could decide by themselves to seek care. Although 94% of the women attended ANC during the last pregnancy, only 75% of the married women delivered their most recent child in the hospital/health facility. There was regional variation for facility-based delivery (Western AOR 0.441, CI 0.285-0.684; Eastern 0.568, CI 0.395-0.816; Central 0.587, CI 0.361-0.952). Older women are less likely to deliver in a health facility compared to younger ones (25-29years AOR 0.559, CI 0.356-0.877; 30-34years AOR 0.530, CI 0.342-0.823, 35-39years AOR 0.406, CI 0.252-0.652; 40-44year AOR 0 .569, CI 0.345-0.938; 45-49years AOR 0.485, CI 0.288-0.814). Women who were aged 20-29years were more likely to deliver in a health facility (AOR 1.55 CI 1.141-2.109). Women in the middle, richer and richest wealth index have higher odds of delivering in the hospital compared to women in the poorest wealth index (Middle AOR 1.544, CI 1.053-2.264; richer AOR 1.863, CI 1.211-2.866; Richest AOR 4.104, CI 2.051-8.213). Women who do not have problems with transport are more likely to deliver in the hospital (AOR 1.503, CI 1.168-1.935). Conclusion: Decision-making for health has no association with health facility delivery. The factors associated with health facility delivery among married women were the current age of the woman, age of the woman at the birth of the first child, distance to the facility, wealth, region and place of residence. The government needed to develop strategies that will improve health facility distribution per capita, invest in infrastructure that will reduce the distance to the health facility, invest in projects that will improve wealth index and carry out health promotion targeting older women and considers geographical variations.
Stochastic Stability of a Fractional Viscoelastic Plate Driven by Non-Gaussian Colored Noise
Authors: Hu Dongliang , Huang Yong 
Published: September 2021

Abstract
In this paper, the moment Lyapunov exponent and stochastic stability of a fractional viscoelastic plate driven by non-Gaussian colored noise is investigated. Firstly, the stochastic dynamic equations with two degrees of freedom are established by piston theory and Galerkin approximate method. The fractional Kelvin–Voigt constitutive relation is used to describe the material properties of the viscoelastic plate, which leads to that the fractional derivation term is introduced into the stochastic dynamic equations. And the noise is simplified into an Ornstein-Uhlenbeck process by utilizing the path-integral method. Then, via the singular perturbation method, the approximate expansions of the moment Lyapunov exponent are obtained, which agree well with the results obtained by the Monte Carlo simulations. Finally, the effects of the noise, viscoelastic parameters and system parameters on the stochastic dynamics of the viscoelastic plate are discussed.
Potential Roles of Cornichon Family AMPA Receptor Auxiliary Protein 4 (CNIH4) in Head and Neck Squamous Cell Carcinoma
Authors: Li Yixue , Liu Hengrui , Han Yue 
Published: September 2021

Abstract
Background The diagnosis and prognosis of neck squamous cell carcinoma (HNSC) is a challenge for clinical HNSC management, thus, the investigation of molecular biomarkers of HNSC is urgent. We hypothesized that Cornichon Family AMPA Receptor Auxiliary Protein 4 (CNIH4) is a biomarker for HNSC.Methods We analyzed mRNA seq data, protein staining data, and single-cell expression data of HNSC from open databases and evaluated the diagnostic and prognostic value of CNIH4, and investigated the association of CNIH4 to HNSC cancer biology and immunity.Results CNIH4 was expressed higher and have higher copy number in HNSC compared to normal tissues. CNIH4 was associated with worse overall survival of HNSC patients. A survival nomogram was constructed. 2012 and 421genes were identified as positively and negatively associated with CNIH4 respectively, and they were enriched in “Cell cycle”, “DNA replicate”, “Cytokine−cytokine receptor interaction”, etc. CNIH4 was positively correlated with “stemness”, “cell cycle”, and “DNA repair” in single-cell data. CNIH4 was potentially associated with changes in multiple immune cell infiltration and cancer immune escape. Conclusion CNIH4 is a diagnostic and prognostic biomarker for HNSC patients and can potentially affect the cancer stemness and tumor immune microenvironment of HNSC cells.
RETRACTED: Identification of a New Microalgal Strain From Chromite Mine Wastes for Detoxification of Hexavalent Chromium for Sustainable Crop Growth
Authors: Majhi Pritikrishna , Rout Gyana Ranjan , Samantaray Saubhagya Manjari 
Published: September 2021

Abstract

The authors have requested that this preprint be removed from Research Square.
Exploring Protein Composition in Stickwater From Tuna by-products Processing as a Preliminary Approach for the Recovery of a Low Molecular Weight Fraction With Potential Algicidal Activity
Authors: Moreno Ofmara Maria Ponce , Lugo-Sanchez Maria Elena , Ramírez-Suarez Juan Carlos , Band-Schmidt Christine Johanna , Salazar-Leyva Jesús Aarón , Sotelo-Mundo Rogerio , Pacheco-Aguilar Ramón 
Published: September 2021

Abstract
The use of by-products for fishmeal production is constantly rising. During this process, stickwater is generated, an effluent that contains organic matter in soluble, colloidal or particulate form. It has been shown that stickwater contains an important amount of protein and that its characterization is the first step into achieving its full valorization. Tuna canning by-product´s stickwater was centrifuged and fractionated by ultrafiltration to bring awareness to its protein quality. Stickwater had a net protein content of 61.4%, centrifuged stickwater maintained a similar protein content meanwhile the protein content in ultrafiltered fractions decreased as their molecular weight range decreased as well. Stickwater, centrifuged stickwater and the fraction R10 presented gel-like characteristics that could position this effluent as a potential source of gelatin. The electrophoretic profile of stickwater, centrifuged stickwater and centrifuged solids demonstrated that a high amount of protein in stickwater was soluble. This first glance at protein/peptides from tuna canning by-products is part of the ongoing effort to propose their recovery an alternative and sustainable use of a fish processing effluent with potential application as a source of peptides with algicidal bioactivity against harmful algal blooms (HABs).
Early Implementation of a Patient-centered Medical Home in Singapore: a Qualitative Study Using Theories on Diffusion of Innovations
Authors: Lim Zoe Zon Be , Kadir Mumtaz Mohamed , Ginting Mimaika Luluina , Vrijhoef Hubertus Johannes Maria , Yoong Joanne , Wong Chek Hooi 
Published: September 2021

Abstract
Background: Primary care (PC) reform is imperative to meet the demands of a rising number of chronically ill patients with complex needs. Patient-Centered Medical Home (PCMH) is a new care model that was found to improve care for complex needs patients in some countries but has not yet been widely adopted in Singapore. Guided by the PCMH principles, “ComSA-PCMH” was developed to proactively deliver integrated PC to a specific population with complex needs. This study explored the change strategies, initial experience and perception, and lessons learnt during its early implementation.Methods: A grounded theory approach was employed. In-depth interviews were conducted for twenty-two key informants from three groups: the implementers, their implementation partners and other PC providers. The theoretical framework on diffusion of innovations by Greenhalgh and colleagues (2015) was used to determine theoretical saturation, reorganize data, and provide insights to the emerging themes.Results: “Diffusion of innovation” emerged as an overarching theory to contextualize ComSA-PCMH and its early implementation. ComSA-PCMH was differentiated from usual PC through three innovations: i) team-based and integrated care; ii) empanelment; and iii) shared care with private general practitioners. Their corresponding change strategies were: i) repurposing pre-existing services and infrastructure; ii) partnership to create supporting infrastructure and pathways in the delivery system; and iii) targeted outreach. Initial experience of the implementers was characterized by “assimilation”, which was a cyclical process of experimentation, negotiations, and adaptations. Initial perception of the implementation partners was characterized by “adoption”, which was affected by perceived value of ComSA-PCMH and perceived burden in implementation. Initial perception of the private general practitioners was also characterized by adoption, which was affected by a lack of awareness and understanding of ComSA-PCMH. Lessons were learnt about ways to work with the complexity and novelty of the innovations.Conclusions: ComSA-PCMH employed creative and pragmatic strategies to overcome country-specific contextual challenges and the inherent complexities of the care model. Assimilation and adoption were identified as the challenging steps, as they involve complex processes participated by multiple players who might exhibit less predictable, self-organizing behaviors.Trial Registration: This study was retrospectively registered with ClinicalTrials.gov (Protocol ID: NCT04594967).
Synthaser: A CD-search Enabled Python Toolkit for Analysing Domain Architecture of Fungal Secondary Metabolite Megasynth(Et)ases and Beyond
Authors: Gilchrist Cameron LM , Chooi Yit Heng 
Published: September 2021

Abstract
Background: Fungi are prolific producers of secondary metabolites (SMs), which are bioactive small molecules with important applications in medicine, agriculture and other industries. The backbones of a large proportion of fungal SMs are generated through the action of large, multi-domain megasynth(et)ases such as polyketide synthases (PKSs) and nonribosomal peptide synthetases (NRPSs). The structure of these backbones is determined by the domain architecture of the corresponding megasynth(et)ase, and thus accurate annotation and classification of these architectures is an important step in linking SMs to their biosynthetic origins in the genome. Results: Here we report synthaser, a Python package leveraging the NCBI's conserved domain search tool for remote prediction and classification of fungal megasynth(et)ase domain architectures. synthaser is capable of batch sequence analysis, and produces rich textual output and interactive visualisations which allow for quick assessment of the megasynth(et)ase diversity of a fungal genome. synthaser uses a hierarchical rule-based classification system, which can be extensively customised by the user through a web application (http://gamcil.github.io/synthaser). We show that synthaser provides more accurate domain architecture predictions than comparable tools which rely on curated profile hidden Markov model (pHMM)-based approaches; the utilisation of the NCBI conserved domain database also allows for significantly greater flexibility compared to pHMM approaches. In addition, we demonstrate how synthaser can be applied to large scale genome mining pipelines through the construction of an Aspergillus PKS similarity network. Conclusions: synthaser is an easy to use tool that represents a significant upgrade to previous domain architecture analysis tools. synthaser is freely available under a MIT license from PyPI (https://pypi.org/project/synthaser) and GitHub (https://github.com/gamcil/synthaser). Keywords: secondary metabolism, domain architecture, polyketide synthase, nonribosomal peptide synthetase, bioinformatics, software
Exploring the Effect of COVID-19 on Airline Environmental Efficiency Through an Interval Epsilon-based Measure Model
Authors: Li Ye , Huang Xing-chun , Cui Qiang 
Published: September 2021

Abstract
COVID-19 has dealt an unprecedented blow to the aviation industry since 2020. This paper applies the Interval Epsilon-Based Measure (IEBM) model to evaluate the optimal quarterly environmental efficiency of 14 global airlines of passenger and cargo subsystems during 2018-2020. Then, the Time Series Prediction method is applied to forecast the interval data of inputs and outputs from 2021 to 2022 and calculate the quarterly efficiency. Thus, the future development trends of airlines can be predicted. Furthermore, the results accord with reality can verify the credibility and accuracy of the model. Furthermore, the results show that: 1. COVID-19 has hit the passenger subsystem harder, while the freight subsystem has become more efficient; 2. The efficiency of the freight subsystem has inevitably declined in the post-epidemic era; 3. Therefore, the airlines will have a “√” shaped recovery curve in the next few years.
Multi Expression Programming
Authors: Oltean Mihai , Dumitrescu D. 
Published: September 2021

Abstract
Multi Expression Programming (MEP) is a new evolutionary paradigm intended for solving computationally difficult problems. MEP individuals are linear entities that encode complex computer programs. MEP chromosomes are represented in the same way as C or Pascal compilers translate mathematical expressions into machine code. MEP is used for solving some difficult problems like symbolic regression and game strategy discovering. MEP is compared with Gene Expression Programming (GEP) and Cartesian Genetic Programming (CGP) by using several well-known test problems. For the considered problems MEP outperforms GEP and CGP. For these examples MEP is two magnitude orders better than CGP.
Glioblastoma Radiotherapy Using Intensity Modulated Radiotherapy (IMRT) or Proton Radiation - GRIPS Trial (Glioblastoma Radiotherapy via IMRT or Proton BeamS): A Study Protocol for a Multicenter, Prospective, Open-label, Randomized, Two-arm, Phase III Study.
Authors: König Laila , Jäkel Cornelia , Döberitz Nikolaus von Knebel , Kieser Meinhard , Eberle Fabian , Münter Marc , Debus Jürgen , Herfarth Klaus 
Published: September 2021

Abstract
Background:Radiation therapy is an integral part of the multimodal primary therapy of glioblastomas. As the overall prognosis in this tumor entity remains unfavorable, current research is focused on additional drug therapies, which are often accompanied by increases in toxicity. By using proton beams instead of photon beams, it is possible to protect large parts of the brain which are not affected by the tumor more effectively. An initial retrospective matched-pair analysis showed that this theoretical physical benefit is also clinically associated with a reduction in toxicity during therapy and in the first few months thereafter. Methods/design:The GRIPS trial is a multicenter, prospective, open-label, randomized, two-arm, phase III study using either intensity modulated photon radiation techniques (standard arm) or proton beam radiotherapy (experimental arm). Additionally, patients are stratified according to "fractionation scheme" (normofractionated/hypofractionated), "subventricular zone involvement" (yes/no) and synchronous chemotherapy (yes/no) and the planned case number is 326 patients.Radiation therapy is performed with a dose of 30 x 2 Gy(RBE) or 33 x 1.8 Gy(RBE), or for patients treated according to the hypofractionation protocol with 15 x 2.67 Gy(RBE). A possible administration of additional chemotherapy (synchronous or adjuvant) or tumor treating fields is applied in dosage and frequency according to the therapy standard outside of this study. The primary endpoint is the cumulative rate of toxicity CTC grade 2 and higher in the first 4 months. Secondary endpoints include overall survival, progression-free survival, quality of life, and neurocognition. Discussion: Aim of the GRIPS study is to prospectively assess whether the theoretical physical advantage of proton beam radiotherapy will translate into a clinical reduction of toxicity during and in the first months after therapy.Trial registration:ClinicalTrials (NCT): NCT04752280
Lower Geriatric Nutritional Risk Index Are Associated With A Higher Incidence Of Osteoporosis In Northern China Type 2 Diabetes
Authors: Ji Yuan yuan , Geng Nan , Niu Yingchun , Zhao Hang , Fei Wenjie , Chen Shu chun , Ren Lu ping 
Published: September 2021

Abstract
Introduction Geriatric Nutrition Risk Index（GNRI）assesses the risk of malnutrition and complications associated with nutritional status in older patients and is also an important predictor of many diseases. Osteoporosis is very general in the elderly population and can cause fractures and disability. Malnutrition is associated with osteoporosis. Therefore, we investigated the relationship between GNRI and osteoporosis in T2DM.Methods Study population of 610 patients with T2DM, collect general and laboratory data on the patient and measure BMD; GNRI is calculated based on serum albumin levels, actual weight and ideal weight. Spearman's correlation analysis, logistic regression analysis, receiver operating characteristic (ROC) curves were used to explore the relationship between GNRI and bone metabolism-related indicators.Results Spearman's correlation analysis yielded a positive correlation between GNRI and BMD, and a negative correlation between GNRI and ALP and PINP. After adjustment of age, duration of illness, TC, TG and uric acid et al confounding factors, a positively correlated with 25(OH)D and PTH (r=0.224, r=0.136, respectively) and negative correlation was found between GNRI and ALP and PINP (r=-0.178, r=-0.120, respectively). Regression analysis yields, GNRI was significantly associated with osteoporosis (in the age < 65 years group, odds ratio was 0.917, P < 0.05 and in the age≥65 years group, was 1.062, P<0.05). The area under the curve of the GNRI recipient operating characteristic curve was 0.584, and the optimal threshold for GNRI to assess the occurrence of osteoporosis was 107.2, the sensitivity was 89.63% and the specificity was 24.63%.Conclusions: Lower Geriatric Nutritional Risk Index among type 2 diabetic patients in northern China are associated with a higher Incidence of osteoporosis.