bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Impact of Hurricane Maria on Individuals Living with Non-Communicable Disease in Puerto Rico: The experience of 10 communities
Authors: Andrade Elizabeth L. , Mustafa Amalis Cordova , Riggle-vanSchagen Courtney , Jula Megan , Rodriguez-Diaz Carlos E. , Rivera M. Ivonne , Santos-Burgoa Carlos 
Published: July 2021

Abstract
Background

Coinciding with the rising non-communicable disease (NCD) prevalence worldwide is the increasing frequency and severity of natural hazards. Protecting populations with NCDs against natural hazards is ever more pressing given their increased risk of morbidity and mortality in disaster contexts.
Methods

This investigation examined Hurricane Maria’s impact across 10 communities in Puerto Rico to determine whether and how disaster impact and community attributes affected NCD management. We conducted 40 qualitative interviews with mayors, first responders, faith leaders, community leaders, and municipal employees, with 4 interviews per selected municipality. Using QSR NVivo software, we coded interview transcripts and created categorical community-level impact variables based on participant responses. We undertook thematic analysis to characterize community-level impact and consequences for NCD management, and to identify convergent and divergent themes. Using a matrix coding query, we compared NCD management experiences across communities by impact variables and community attributes.
Results

The delivery of healthcare, pharmacy, and dialysis services was compromised due to facility structural damage and ineffective contingencies for electrical power and water supply. The challenges resulting from power outages were immediate, and individuals who were reliant on life-sustaining medical equipment, dialysis, or the refrigeration of medications were most vulnerable. Inaccessible roadways and the need to travel greater distances to locate operational health services were major impediments to transporting patients in need of NCD care, with those requiring dialysis and living in remote, mountainous communities at highest risk due to landslides and lengthy roadway obstruction. These barriers were compounded by limited communication to locate services and coordinate care. Two weeks post-hurricane, emerging challenges to NCD management included widespread diesel fuel shortages for generators, and shortages in medications, oxygen, and medical supplies. In the weeks to months post-hurricane, the emergence or exacerbation of mental health disorders was characterized as a pressing health concern.
Conclusions

Study findings identify contributors to morbidity and mortality among individuals with NCDs following Hurricane Maria. The degree to which these impacts were experienced across communities with different characteristics is discussed, offering important lessons regarding the impact of catastrophic disasters on NCD management for improve community disaster resilience.
An Efficient Genetic Manipulation Protocol for Dark Septate Endophyte Falciphora Oryzae
Authors: Su Zhen-Zhu , Dai Meng-Di , Zhu Jia-Nan , Zeng Yu-Lan , Lu Xuan-Jun , Liu Xiao-Hong , Lin Fu-cheng 
Published: July 2021

Abstract
Falciphora oryzae is a dark septate endophyte (DSE) isolated from wild rice roots (Oryza sativa L.). It was classified as a non-clavicitaceous endophyte. The fungus colonizes rice roots, showing a significant increase in agronomic parameters with plant biomass, rice blast resistance, yield, and quality. The construction of the genetic manipulation system is critical to study the relationship between F. oryzae and O. sativa. In the present study, the protoplast preparation and transformation system of F. oryzae was investigated. The key parameters affecting the efficiency of protoplast production, such as osmotic pressure stabilizer, enzyme digestion conditions, and fungal age, were studied. The results showed that F. oryzae strain obtained higher protoplast yield and effective transformation when treated with enzyme digestion solution containing 0.9mol L-1 KCl solution and 10 mg mL−1 glucanase at 30℃ with shaking 80 rpm for 2-3 h. When the protoplasts were plated on a regenerations-agar (RgA) medium containing 1M sucrose, the re-growth rate of protoplasts was the highest. We successfully acquired GFP-expressing transformants by transforming the pKD6-GFP vector into protoplasts. Further, the GFP expression in fungal hyphae possessed good stability and intensity during symbiosis in rice roots.The genetic manipulation system of endophytic fungus facilitates the further exploration the interaction between the endophytic fungus and their hosts.
Breeding Practices and Traits Preferences of Goat Keepers at Lepelle-Nkumpi Local Municipality, South Africa: Implication for the Design of Breeding Programs
Authors: Tyasi Thobela Louis , Ng’ambi Jones , Mogashoa Stanley 
Published: July 2021

Abstract
Identification of breeding practices and traits preferences by farmers for selection of breeding animals to be parents of the next generations is the crucial step to the successful implementation of community-based breeding programs (CBBPs). The aim of the study was to detect breeding practices and traits preferences by farmers at Lepelle-Nkumpi Local Municipality, South Africa to determine their relevance in establishing a CBBPs. A structural questionnaire was designed and administered to 183 randomly selected goat keepers from 4 villages. Across the 4 communities, the majority of goat keepers were males with the traditional purposes, sales and meat production as their main reasons of keeping goats. Spring breeding season was practiced using natural mating system controlled mainly by means of castration and culling of poor reproductive or undesired goats for breeding. The most important common farmers’ preference traits among the four communities were twining ability, good mothering ability and body size in breeding does, and mating ability, growth rate and body size in breeding bucks. However, the selection of breeding stock might also include qualitative traits such as coat color of goats. The results from this study are useful for designing CBBPs for indigenous goats in Lepelle-Nkumpi Local Municipality.
Quasi-N4-Lattices
Authors: Rivieccio Umberto 
Published: July 2021

Abstract
Within the Nelson family, two mutually incomparable generalizations of Nelson constructive logic with strong negation have been proposed so far. The first and more well-known, Nelson paraconsistent logic , results from dropping the explosion axiom of Nelson logic; a more recent series of papers considers the logic (dubbed quasi-Nelson logic ) obtained by rejecting the double negation law, which is thus also weaker than intuitionistic logic. The algebraic counterparts of these logical calculi are the varieties of N4-lattices and quasi-Nelson algebras . In the present paper we propose the class of quasi- N4-lattices as a common generalization of both. We show that a number of key results, including the twist-structure representation of N4-lattices and quasi-Nelson algebras, can be uniformly established in this more general setting; our new representation employs twist-structures defined over Brouwerian algebras enriched with a nucleus operator. We further show that quasi-N4-lattices form a variety that is arithmetical, possesses a ternary as well as a quaternary deductive term, and enjoys EDPC and the strong congruence extension property.
Nitrogen Uptake by Rapeseed Varieties From Organic Matter and Inorganic Fertilizer Sources
Authors: CARTER CANDACE G , Schipanski Meagan E. 
Published: July 2021

Abstract
Aims
Improving crop utilization of N from soil organic matter (SOM) has received limited attention despite evidence that half of field crop N is often derived from SOM mineralization. We explored the effects of rapeseed (Brassica napus) genotypic diversity on N uptake from organic and inorganic N sources.
Methods
In a greenhouse study, we applied dual 15N labeled ammonium-nitrate fertilizer to examine N uptake patterns of rapeseed in different N environments. Ten varieties were grown in a full factorial experiment with four treatments, including combinations of high and low N fertilizer and SOM.
Results
While we found limited varietal differences in N uptake dynamics, SOM was an important N source across all varieties even as N fertilizer availability increased. High SOM/High Fertilizer treatment plants obtained 64% of N from SOM, while plants grown with High SOM/Low Fertilizer obtained 89% of total N from SOM. High N fertilizer additions increased overall N uptake from SOM by 42% relative to low N fertilizer treatments. In contrast, microbial enzyme activity related to nutrient mineralization was suppressed by 16–58% in high N fertilizer relative to low fertilizer treatments.
Conclusions
Integrating plant reliance on SOM-N sources into crop breeding and system management has the potential to improve productivity and overall N use efficiency.
Single-Cell RNA Sequencing Findings Encourage the Application of Three-Dimensional in Vitro Cell Co-Culture to Breast Cancer Research
Authors: Yang Shuqing , Chen Peixian , Mao Xiaofan , Lin KaiRong , Li Wei , He Tiancheng , Huang Huiqi , Yao Guangyu , Wu AiGuo , Luo Wei , Zhou Dan , Ye Guolin 
Published: July 2021

Abstract
Traditional research on breast cancer based on cell lines has its limitations. Three-dimensional (3D) cell co-culture is an important tool for breast cancer research. However, while researchers wait for single-cell RNA sequencing technology to mature, it remains impossible to study the 3D cell co-culture cellular function accurately at single-cell levels. In this study, MCF-7, HMF, and HUVEC cells were mixed and cultured directly. The transcriptome changes after cisplatin intervention were detected by single-cell RNA sequencing. Our work aims to verify the advantages of 3D cell co-culture, which seems set to replace the traditional cell line experiment and become a part of mainstream cancer cell in vitro experiments.
GAMP-SBL Based Channel Estimation for Millimeter-Wave MIMO Systems
Authors: Shao Jianfeng , Wang Xianpeng , Lan Xiang , Han Zhiguang , Su Ting 
Published: July 2021

Abstract
Based on the finite scattering characters of the millimeter-wave multiple-input multiple-output (mmWave MIMO) channel, the mmWave channel estimation problem can be considered as a sparse signal recovery problem. However, most traditional channel estimation methods depend on grid search, which may lead to considerable precision loss. To improve the channel estimation accuracy, we propose a high-precision two-stage millimeter-wave MIMO system channel estimation algorithm. Since the traditional expectation-maximization based sparse Bayesian learning (EM-SBL) algorithm can be applied to handle this problem, however, it spends lots of time to calculate the E-step which needs to compute the inversion of a high dimensional matrix. To avoid the high computation of matrix inversion, we combine damp generalized approximate message passing (DGAMP) with the E-step in SBL. We then improve a refined algorithm to handle the dictionary matrix mismatching problem in sparse representation. Numerical simulations show that the estimation time of the proposed algorithm is greatly reduced compared with the traditional SBL algorithm and better estimation performance is obtained at the same time.
The Role of Apoptotic Bodies From Different Stages of Apoptosis in Maintaining the Vitality of BMSCs
Authors: Li Maojiao , Xing Xiaotao , Huang Haiseng , Liang Cheng , Gao Xin , Tang Qi , Xu Xun , Yang Jian , Liao Li , Tian Weidong 
Published: July 2021

Abstract
Background: Apoptosis is a complex process of autonomously and orderly programmed cell death. During apoptosis, bone marrow mesenchymal stem cells (BMSCs) generate many vesicles termed apoptotic bodies (ABs). The formation of ABs is closely related to the process of apoptosis. ABs have been found to act as containers to transmit the nucleic acid, protein, and lipid signals to target cells to promote . However, whether the composition and function of ABs are related to the process of apoptosis remains elusive. Methods: After STS induced BMSCs apoptosis, ABs derived from apoptotic BMSCs were extracted, characterized. Then the effects of proliferation, migration, and osteogenic differentiation of ABs from different stages of apoptosis on normal BMSCs were evaluated in vitro. Results: We confirmed that apoptotic BMSCs generated abundant ABs. These ABs were engulfed by normal BMSCs and promoted the proliferation, migration, and osteogenic differentiation of recipient cells. Besides, ABs from the middle stage of apoptosis were the most efficient at enhancing the capacity of proliferation, migration, and osteogenic differentiation of BMSCs.Conclusions: This study aims to understand the detailed biological role of ABs from different stages of apoptosis in promoting the activity of BMSCs. This study reveals a previously unknown relationship between the function of ABs and the process of dying BMSCs on promoting the viability of BMSCs.
Complex Dynamics of An Epidemic Model With Saturated Media Coverage and Recovery
Authors: Li Tangjuan , Xiao Yanni 
Published: July 2021

Abstract
During the outbreak of emerging infectious diseases, media coverage and medical resource play important roles in affecting the disease transmission. To investigate the effects of the saturation of media coverage and limited medical resources, we proposed a mathematical model with extra compartment of media coverage and two nonlinear functions. We theoretically obtained that saturated recovery significantly contributes the occurrence of backward bifurcation and rich dynamics. Then it is reasonable to only considering nonlinear recovery, we theoretically showed that backward bifurcation can occur and multiple equilibria may coexist under certain conditions in this case. And numerical simulations reveals the rich dynamic behaviors, including forward-backward bifurcation, Hopf bifurcation, Saddle-Node bifurcation, Homoclinic bifurcation and unstable limit cycle. Comparing the system with linear recovery, where the threshold dynamic are almost completely characterized by a threshold condition called the basic reproduction number, we concluded that only saturated media impact hardly induces the complicated dynamics, while the nonlinear recovery function, associated with limitation of medical resources, may induce the coexistence of the disease-free equilibrium (DFE) and a endemic state or multiple endemic states, which means that the limitation of medical resources causes much difficulties in eliminating the infectious diseases.
Using a Convolutional Neural Network for Classification of Squamous and Non-Squamous Non-Small Cell Lung Cancer Based on Diagnostic Histopathology HES Images
Authors: Page Anne Laure Le , Ballot Elise , Truntzer Caroline , Derangère Valentin , Ilie Alis , Rageot David , Bibeau Frederic , Ghiringhelli François 
Published: July 2021

Abstract
Histological stratification in metastatic non-small cell lung cancer (NSCLC) is essential to properly guide therapy. Morphological evaluation remains the basis for subtyping and is completed by additional immunohistochemistry (IHC) labelling to confirm the diagnosis, which delays molecular analysis and utilises precious sample. Therefore, we tested the capacity of convolutional neural networks (CNNs) to classify NSCLC based on pathologic HES diagnostic biopsies. The model was estimated with a learning cohort of 132 NSCLC patients and validated on an external validation cohort of 65 NSCLC patients. Based on image patches, a CNN using InceptionV3 architecture was trained and optimized to classify NSCLC between squamous and non-squamous subtypes. Accuracies of 0.99, 0.85, 0.87, 0.85 was reached in the training, validation and test sets and in the external validation cohort. At the patient level, the CNN model showed a capacity to predict the tumour histology with accuracy of 0.73 and 0.78 in the learning and external validation cohorts respectively. Selecting tumour area using virtual Tissue Micro-Array (TMA) improved prediction, with accuracy of 0.79 in both learning and external validation cohorts. This study underlines the capacity of CNN to predict NSCLC subtype with good accuracy and to be applied to small pathologic samples without annotation.
An Evaluation of The Evidence Brief for Policy Development Process in WHO EVIPNet Europe Countries
Authors: Murphy Adrianna , Šubelj Maja , Babarczy Balázs , Köhler Kristina , Chapman Evelina , Truden Polonca , Oliver Kathryn , Nahrgang Saskia , Reinap Marge , Kuchenmüller Tanja 
Published: July 2021

Abstract
BackgroundEvidence briefs for policy (EBPs) represent a potentially powerful tool for supporting evidence informed policy-making. Since 2012, the World Health Organization Evidence Informed Policy Network (EVIPNet) Europe has been supporting member states in developing EBPs. The aim of this study was to evaluate the process of developing EBPs in Estonia, Hungary and Slovenia.MethodsWe used a Rapid Appraisal approach, combining semi-structured interviews and document review, guided by the MRC Process Evaluation Framework. Interviews were conducted with a total of 20 individuals familiar with the EBP process in the three study countries. Data were analysed thematically and emerging themes were related back to the MRC Framework components (Implementation, Mechanisms of Impact, and Context). We also reflected on the appropriateness of this evaluation approach for EVIPNet teams without evaluation research expertise to conduct themselves.Results The following themes emerged as important to the EBP development process: how the focus problem is prioritised, who initiates this process, EBP team composition, EBP team leadership, availability of external support in the process, and the culture of policy-making in a country. In particular, the EBP process seemed to be supported by early engagement of the Ministry of Health and other stakeholders as initiators, clear EBP team roles and expectations, including a strong leader, external support to strengthen EBP team capacity and cultural acceptance of the necessity of evidence-informed policy-making. Overall the evaluation approach was considered feasible by the EBP teams and captured rich qualitative data, but may be limited by the absence of external reviewers and long lag times between the EBP process and the evaluation.ConclusionsThis process occurs in a complex system and must be conceptualised in each country and each EBP project in a way that fits local policy-making culture, priorities, leadership and team styles, roles and available resources. The use of a rapid appraisal approach, combining qualitative interviews and document review, is a feasible method of process evaluation for EVIPNet member countries.
Contact Ability Based Topology Control for Predictable Delay-tolerant Networks
Authors: Chen Hongsheng , Wu Chunhui 
Published: July 2021

Abstract
In predictable delay tolerant networks (PDTNs), the network topology is known a priori or can be predicted over time such as space planet networks and vehicular networks based on public buses or trains. Due to the intermittent connectivity, network partitioning, and long delays in PDTNs, most of the researchers mainly focuses on routing and data access research. However, topology control can improve energy effectiveness and increase the communication capacity, thus how to maintain the dynamic topology of PDTNs becomes crucial. In this paper, a contact ability based topology control method for PDTNs is proposed. First, the contact ability is calculated using our contact ability calculation model, and then the PDTNs is modeled as an undirected weighted contact graph which includes spatial and contact ability information. The topology control problem is defined as constructing a Minimum Spanning Tree(MST) that the contact ability of the MST is maximized. We propose two algorithms based on undirected weighted contact graph to solve the defined problem, and compare them with the latest method in terms of energy cost and contact ability. Extensive simulation experiments demonstrate that the proposed algorithms can guarantee data transmission effectively, and reduce the network energy consumption significantly.
Anatomical and Physiological responses of Citrus megaloxycarpa Lush.: A Cryptic Species of North-East India.
Authors: Jerang Arun , kumari Sony , Borthakur Madushmita , Ahmed Shahbaaz 
Published: July 2021

Abstract
In the historical mysteries and present pandemic situation, the use of citrus fruits makes it rise high among other fruits. Citrus has a significant role in dietary and medicinal purposes from time immemorial and widely acknowledged for its therapeutic properties. Citrus megaloxycarpa Lush. is an unspecified sibling of the citrus family. The present work highlights the use of the cryptic species of North-East India with its efficient biochemical, antimicrobial, anticancerous properties activity. The aim of this study was to characterize analyzed various biochemical, antioxidant, anticancerous parameters. The peel and pulp extract of ripening large citrus sample indicated as P(L1) and Pu(L2) respectively and unripe small peel and pulp extracts was indicated as P(S1) and Pu(S2) respectively. The extract of the Pu(L2) has the highest total soluble protein whereas the extract of P(L1) demonstrated high in carbohydrate concentration. On quantifying the free amino acid value, the extract of P(L2) showed higher in quantification. The total DPPH scavenging activity was compared for the extracts, where the extract of Pu(L2) exhibit high IC50 value. The present work concluded the use of Citrus megaloxycarpa Lush. peel and pulp extracts to be an efficient therapeutic drug.
Full Bagasse Bio-Waste Derived 3D Photothermal Aerogels for High Efficient Solar Steam Generation
Authors: Xiong Jun , Zhang Zhenning , Liu Yuhao , Yi Jie , Wang Yixin , Li Bowen , Wang Weiming , Peng Shuai , Min Xue , Gui Yunyun , Li Ming , Peng Junjun 
Published: July 2021

Abstract
Nowadays, freshwater shortage, energy crisis and environmental pollution are the three major threats to human beings. Herein, we develop a photothermal material based on bagasse for solar steam generation to relieve freshwater crisis and mitigate environmental pollution caused by bio-waste. The mainly functional part of the solar driven steam generator in this paper is bagasse-based photothermal aerogel (B-PTA), which composes of carbonized bagasse (CB) and bagasse-derived cellulose fiber (BDCF). The B-PTA with CB can effectively absorb solar (~95%) and has an excellent light-to-heat ability. The B-PTA with DBCF has super-hydrophilicity, water transport and retention ability. Depending on the excellent light absorption and 3D water passageway, the B-PTA gives a water evaporation rate of 1.36 kg m–2 h–1, and can achieve a photothermal conversion efficiency of 77.34% under 1-sun illumination (1 kW m–2). The B-PTA has excellent stability that the efficiency without significant decrease after 20 cycles. In addition, the B-PTA can effectively desalt seawater and purify dye wastewater with natural sunlight. Therefore, turning bio-waste into valuable photothermal material for solar steam generation is possible. Due to the merits of low cost, scalability, environmental friendliness, B-PTA has the potential for real-world water purification.