bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prognostic significance of tumor-associated neutrophils and circulating neutrophils in glioblastoma, IDH wild-type
Authors: Wang Xuezhen , Li Xiaoxia , Wu Yufan , Hong Jinsheng , Zhang Mingwei 
Published: June 2022

Abstract
Background
Tumor-associated neutrophils (TANs) in the tumor microenvironment are prognostic biomarkers in many malignancies. However, the prognostic value of TANs in glioblastoma, IDH wild-type remains poorly studied. We analyzed correlations of TANs and peripheral blood neutrophils prior to radiotherapy with overall survival (OS) in glioblastoma.
Methods
RNA-seq expression profiles of patients with newly diagnosed glioblastoma, IDH wild-type were extracted from The Cancer Genome Atlas (TCGA), and The Chinese Glioma Genome Atlas (CGGA). TAN infiltration was inferred using CIBERSORTx algorithm. Neutrophil counts prior to radiotherapy in newly diagnosed glioblastoma, IDH wild-type were obtained from the First Affiliated Hospital of Fujian Medical University. The prognostic value of TANs and peripheral blood neutrophils before radiotherapy was investigated using Kaplan-Meier analysis and Cox proportional hazards models. The robustness of these findings was evaluated by sensitivity analysis, and E values were calculated.
Results
A total of 113 and 173 individuals with glioblastoma, IDH wild-type were identified from the TCGA and CGGA cohorts, respectively. High infiltration of TANs was of prognostic of poor OS in TCGA (HR = 1.811,95% CI: 1.048–3.128) and CGGA (HR = 1.572, 95% CI: 1.046–2.365). Levels of peripheral blood neutrophils before radiotherapy (HR = 2.073, 95% CI: 1.077–3.990) were independently associated with poor prognosis. Sensitivity analysis determined that the E-value of high TANs infiltration was 2.38 and 2.52 in the TCGA and CGGA cohorts.
Conclusions
TANs and peripheral blood neutrophil levels before radiotherapy are prognostic of poor outcomes in glioblastoma, IDH wild-type.
The impact of distance education on nursing students course performance in a Sino-foreign cooperative program during the onset of COVID-19: a quasi-experimental study
Authors: Zhang Yu , Zhang Ning , Liu Hongyuan , Kan Yinshi , Zou Yan 
Published: June 2022

Abstract
Background: The outbreak of COVID-19 changed many studies’ teaching mode in higher education profoundly, including nursing. This study evaluated the impact of distance education on the course performance of nursing students in a nursing fundamentals course during the epidemic of COVID-19. Methods: This is a comparative prospective and retrospective quasi-experimental study. Nursing students in a Sino-foreign cooperative program were allocated to either an intervention group (distance education, n=48) or control group (face-to-face teaching, n=36). Academic performance, academic self-efficacy, and academic engagement were evaluated for three aspects of learning.Results: Students experiencing distance teaching had worse academic performance (p=0.001) and lower levels of learning behavior self-efficacy (p﹤0.05). The total score of academic engagement (p=0.04) for students experiencing distance teaching were significantly lower than the scores of those students in the control group. Conclusions: In the context of COVID-19, nursing students conducted using distance education had poor course performance.
Developing the functional cotton fabric with N-halamine antibacterial structure based on DA/PEI
Authors: Wan Jiansheng , Li Hong , Cai Xiaoyu , Yan Jun , Liao YongPing 
Published: June 2022

Abstract
In this study, functional coatings with N-halamine structure were formed on cotton fabrics by dopamine (DA) auto-deposition and DA/Polyethyleneimine (PEI) covalent co-deposition, respectively. SEM、UV-Vis and XPS had confirmed the deposition of DA and DA/ polydopamine (PDA) on the cotton fabrics. When the mass ratio of DA/PEI was 1:1.5, a uniform functional coating was formed. XRD had indicated that the coating and the oxidative sodium hypochlorite solution did not affect the crystal structure of cellulose. The DA/PEI co-deposited modified cotton fabric had excellent antibacterial property after chlorination, and the inactivation rate against E coli and S aureus could reach 100% with a contact time of 30 min. The functional coating on the cotton fabric remained stable after 50 washing cycles. The UPF values and the wrinkle recovery angle (WRA) tests showed that the DA/PEI co-deposited coating imparted great durable press and UV protective properties to the cotton fabric. The breaking strength loss rate of the modified cotton fabrics after chlorination was about 20%, which had little effect on the wearing property.
The Environmental Philips Curve from a Gender Perspective: Empirical Evidence from India
Authors: Shastri Shruti , Mohapatra Geetilaxmi , Giri Arun Kumar 
Published: June 2022

Abstract
The trade-off between environmental degradation and unemployment has been recently termed as Environmental Philips Curve (EPC) .This research attempts to investigate the presence of EPC in the Indian context utilizing time series data for the period 1990-2019. Besides contributing to the meager empirical literature on this issue, the present study makes a novel contribution by introducing a gender dimension to this investigation. In particular, this study investigates whether the nexus between environmental degradation and unemployment is different for men and women. We examine the presence of the EPC by estimating a model that considers growth in CO2 emission as a function of economic growth, trade openness and gender segregated unemployment rates. Our findings based on ARDL, FMOLS and DOLS estimators generate robust evidence for a negative impact of male unemployment rate on growth in CO2 emission that validates the existence of Environmental Philips Curve for male unemployment rate . However, there is no trade-off between environmental quality and women’s employment. In fact, the results point to a favourable effect of reduction in female unemployment on environmental quality. The results of Block Exogeneity test indicate a unidirectional causality from male unemployment rate to environmental degradation. However, bidirectional causal relationship , exists between female unemployment and environmental degradation. The existence of trade-off between environmental quality and male employment suggests that India is yet to find viable technologies that can curtail pollution without compromising the livelihood. An optimistic conclusion emanating from our findings is the existence of a virtuous cycle between female employment and environmental quality. An integrated approach to improve environmental quality and increase women’s economic activity may facilitate a speedy realization of sustainable development goals for India as both the goals compliment and reinforce each other.
A Novel Airbag Aided Differential-drive Capsule Robot Towards Colonoscopy
Authors: Yang Jianlin , Sun Zhijun , Guo Yu 
Published: June 2022

Abstract
Colorectal cancer is the third most common cancer in the world, which is a serious threat to human health. Endoscopy is the most effective way to screen colorectal cancer. However, it is very difficult to design a robot that can move in a complex colon. Soft robots can adapt to a variety of unstructured environments, and their interaction with humans is more secure. This paper presents a novel differential-drive caterpillar-based robot for colonoscopy, which is expanded by an airbag. Combining the advantages of the soft robot and the wheeled robot, the robot has both the flexibility of the former and the rapidity of the latter. The size of the robot in the contraction state is only ϕ28mm × 35mm and the length of traction module is only 28mm. The robot can be expanded to a diameter of 50mm and has a maximum speed of 5mm/s. The design concept of the robot and its traction module are described in detail. To ensure the stable movement of robot, the controlled output force of the robot caterpillar track is tested by experiments. In addition, the robot is placed in a curved bellow to move, and its motion validity is verified.
Environmental remediation through wastewater management via hybrid nanocomposite matrix – A organized review
Authors: Pal Kaushik , Chakroborty Subhendu , Panda Pravati , Nath Nibedita , Soren Siba 
Published: June 2022

Abstract
Pollution of water is currently a significant worry for scientific communities all over the world, and it is imperative that this problem be solved as quickly as possible. It is today recognized to be one of the most important foci of research worldwide. The present dilemma of clean, fresh waste is being addressed by the subsequent ejection of impurities from polluted water following recycling. There are several effective solutions that have been promoted as a solution to this problem. Even if the present procedures for wastewater treatment degrade a wide variety of effluents efficiently, these protocols still have some kind of restrictions. The most cutting-edge research in this area is being done on the subject of nanotechnology, which has an astounding number of potential uses, one of which is the treatment of wastewater. One of the value-added alternatives utilized for water purification by eliminating the many types of pollutants found in wastewater is the green synthesis of nanocomposites in adsorbents, magnetic separation, photocatalysts and other similar processes. Within the scope of this study, the most significant discoveries of nanocomposites to date that have been made towards the remediation of wastewater are highlighted.
Prediction of inter-chain distance maps of protein complexes with 2D attention-based deep neural networks
Authors: Guo Zhiye , Liu Jian , Skolnick Jeffrey , Cheng Jianlin 
Published: June 2022

Abstract
Residue-residue distance information is useful for predicting the tertiary structures of protein monomers or the quaternary structures of protein complexes. Many deep learning methods have been developed to predict intra-chain residue-residue distances of monomers accurately, but very few methods can accurately predict inter-chain residue-residue distances of protein complexes. We develop a new deep learning method CDPred (i.e., Complex Distance Prediction) based on the 2D attention-powered residual network architecture to address the gap. CDPred predicts the inter-chain distance maps of dimers (homodimers or heterodimers) from the features extracted from multiple sequence alignments (MSAs) and the intra-chain distance maps of predicted tertiary structures of monomers. Tested on two homodimer test datasets, CDPred achieves the precision of 61.56% and 43.26% for top L/5 inter-chain contact predictions (L: length of the monomer in homodimer), respectively, which is substantially higher than DeepHomo’s 37.40% and 23.08% and GLINTER’s 48.09% and 36.74%. And tested on the two heterodimer test datasets, the top L/5 inter-chain contact prediction precision (L: length of the shorter monomer in heterodimer) of CDPred is 47.59% and 22.87% respectively, which surpasses GLINTER’s 23.24% and 13.49%. Moreover, we demonstrate that the residue-residue co-evolutionary features calculated from multiple sequence alignments by a deep learning language model are more informative for the inter-chain contact prediction than the traditional statistical optimization approach of maximizing direct co-evolutionary signals, and large intra-chain distances in the intra-chain distance maps of monomers are more useful for the inter-chain distance prediction than small intra-chain distances.
Electroless deposition of silver on aminated graphene oxide coated cotton fabric to develop high-performance electromagnetic interference shielding
Authors: Akram Saba , Javid Amjed , Ashraf Munir 
Published: June 2022

Abstract
Endowing conductive textiles for electromagnetic interference (EMI) shielding with dominant absorption mechanism is highly demanding. In this study, we propose a facile method of silver electroless plating on aminated graphene oxide (NH2-GO) and reduced graphene oxide (rGO) based cotton fabric for remarkable EMI shielding performance. The successful formation of silver-plated fabrics was confirmed by scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR) and X-ray diffraction (XRD). EMI shielding performance and surface resistance were studied by vector network analyzer (VNA) and four-probe digital multimeter respectively. Antibacterial activity and hydrophobicity of modified fabrics were also evaluated. Our results showed that all fabrics have good antibacterial activity, and the highest antibacterial activity was shown by silver/rGO fabric about 99.99%. Silver-plated aminated GO-based fabric exhibits low surface resistance and its EMI shielding effectiveness (EMI SE) reaches 49 dB at 7 GHz with 1.2 mm thickness as amination of GO provides more functional groups for silver electroless plating. Moreover, these modified fabrics have higher SEA rather than SER that verifying the absorption characteristic of material. Thus, the remarkable EMI shielding performance of silver-plated NH2-GO fabrics tends to make significant progress in eliminating electromagnetic radiations pollution from our environment.
Feasibility of a smartphone application as a personalized treatment tool for adolescents with overweight: an explorative qualitative study
Authors: Desmet Maurane , Franssen Sieske , Varol Tugce , Fillon Alicia , Thivel David , Roefs Anne , Braet Caroline 
Published: June 2022

Abstract
Background: The present study is the first step of a 3-year European project in which a tailored smartphone application will be developed and tested as a potential tool in the personalized treatment of children and adolescents with overweight. Methods: In this study, 10 focus groups (n = 48 participants) were conducted in Belgium, The Netherlands and France with adolescents with overweight (12-16 years; n = 30) and parents of adolescents with overweight (n = 18) to investigate their perceptions on (un)healthy behavior, the drivers of these behaviors, and the needs of an eHealth application for weight loss. A thorough thematic analysis was performed using Nvivo12. Results: Results show that adolescents with overweight have a well-articulated perspective on (un)healthy behavior and their needs. Parents underestimate their own influence on the (un)healthy behavior of their children and report difficulties in healthy lifestyle parenting, which makes their role as a coach rather ambiguous. Concerning the needs of an eHealth application, both parents and adolescents formulated some challenging expectations regarding the content and the format including information, monitoring and motivation increasing features. The results of this analysis will form the basis for designing a personalized eHealth application, which will be tested in a next phase. Conclusions: We can conclude that adolescents have a well-articulated perspective on healthy and unhealthy behavior and their needs, whereby a new app could be of great help. It could function as a day-by-day diary and as a supportive coach.
Therapeutic intervention based on analysis by 16S ribosomal RNA gene sequencing of intrauterine microbiome improves pregnancy outcomes of IVF patients: a prospective cohort study
Authors: Iwami Nanako , Kawamata Miho , Ozawa Naoko , Yamamoto Takahiro , Watanabe Eri , Mizuuchi Masahito , Moriwaka Osamu , Kamiya Hirobumi 
Published: June 2022

Abstract
Purpose: Lactobacillus -dominated microbiota (LDM, defined as >90% Lactobacillus species composition) in the endometrium was reported to be associated with favorable reproductive outcomes. We investigated in this study whether 16S ribosomal RNA (rRNA) gene sequencing technology analysis of the uterine microbiota improves pregnancy outcomes.Methods: The prospective cohort study consisted of 195 women with recurrent implantation failure (RIF) (defined as at least three previous failed in vitro fertilization (IVF)-embryo transfer (ET) attempts) and was carried out between March 2019 and April 2021 at our fertility center. Analyses of endometrial microbiota by 16S rRNA gene sequencing were suggested to all patients who had failed three or more ETs. One hundred and thirty-one patients underwent microbial 16S rRNA biomarker analysis (study group) before additional transfers, while 64 patients with a history of RIF proceeded to ET without endometrium analysis (control group). The primary outcome was the cumulative clinical pregnancy rate after two additional ETs. Main results: Abnormal endometrial microbiota was detected in 30 patients (22.9%). All but one of those 29 patients received antibiotics corresponding with the detected bacteria and probiotic treatment. As results, the cumulative clinical pregnancy rate (study group: 64.5% vs. control group: 33.3%, p=0.005) and the ongoing pregnancy rate (study group: 55.1% vs. control group: 32.8%, p=0.020) were both significantly higher in the study group compared to the control group. Conclusion: Personalized treatment recommendations based on the 16S rRNA analysis of the uterine microbiota can improve IVF outcomes of patients who have been experiencing RIF. Study funding/competing interest(s): None applicable.Trial registration number: a trial registration number is only required for clinical trials. the University hospital Medical Information Network (UMIN) Clinical Trial Registry in Japan, UMIN000036050 Date of registration: March 1 st , 2019
The necessity of incorporating non-genetic risk factors into polygenic risk score models
Authors: Dam Sipko van , Folkertsma Pytrik , Forte Jose Castela , Vries Dylan H. , Gannamani Rahul , Wolffenbuttel Bruce H.R. 
Published: June 2022

Abstract
The growing public interest in genetic risk scores for various health conditions may inspire preventive health action. However, these risk scores can be deceiving as they do not consider other, easily attainable risk factors, such as sex, BMI, age, smoking habits, parental disease status and physical activity. We show improved performance in identifying the 10% most at-risk individuals for type 2 diabetes (T2D) and coronary artery disease (CAD) by including these common risk factors. Incidence in the highest risk group increases from 3.2- and 4.2-fold to 5.8 for T2D, when comparing the genetics-based model, common risk factor-based model and combined model, respectively. Similarly, we see an increase from 2.9- and 2.4-fold to 5.0-fold risk for CAD. Importantly, we show that genetic and common risk factors capture different risks. As such, it is paramount that all these variables are considered when reporting risk, unlike current practice with available genetic tests.
Insights into the deriving of rhizosphere microenvironments and its effects on the growth of authentic Angelica sinensis seedlings under continuous monoculture
Authors: Gong Xiaofang , Zhu Ying , Peng Yinan , Guo Zengxiang , Zhou Jianping , Yang Hui , Wang Zhiye 
Published: June 2022

Abstract
Purpose: Continuous monoculture leads to deterioration of soil microenvironment, which can severely threat the quality and efficiency of Angelica sinensis (A. sinensis), especially for seedlings production. However, little attention has been paid to investigate how continuous monocropping affects the growth of A. sinensis seedling, rhizosphere microbial populations, and nutrient status. Methods: A field experiment consisting of two different planting patterns - raising A. sinensis seedlings in reclamation alpine uncultivated meadow (RW) and 1-year continuous monoculture (CC), was carried out at Min County, Gansu province, China. Result: The results showed that compared with RW, the growth rate and valid quantity of A. sinensis seedlings were significantly reduced by 195.4 % and 36.7% in CC, respectively. Continuous monocropping significantly increased the rhizosphere soil pH value during the growing season, ranging from 6.18 to 7.10, while reducing the content of SOM, total N, available P and K. Glomalin, AMF spores and the number of actinomycetes, ammonifying and azotobacter were also decreased by CC. The CC treatment significantly increased the abundance of fungi. And the diversity and richness of bacterial and fungal flora in CC were lower than RW. Furthermore, the composition and structure of flora also changed that the abundance of beneficial bacteria and decreased fungi while the abundance of pathogenic bacteria and pathogens increased in CC. Thus, CC appeared to completely upend the relationship between soil nutrient availability and microbial activity. Conclusion: The results illustrated that continuous monoculture led to changes in the flora of bacteria and fungi, decreased the abundance of beneficial bacteria, and increased the abundance of harmful pathogenic bacteria and pathogens. The function of microbial population has changed from "bacteria-dominated" to "fungi-dominant". We concluded that continuous monoculture significantly reduced the growth and the efficiency of A. sinensis seedlings, deteriorated the rhizosphere soil microenvironment by increasing pH and decreasing nutrient availability, as well as altering the function of interactions between soil nutrients and microbial populations, thereby resulting in an unsuitable microenvironment for A. sinensis seedlings growth.
The effect of rurality and distance from care on health outcomes, environmental barriers and healthcare utilization patterns in persons with traumatic spinal cord injury
Authors: Christie Sean , Whelan Alexander , McVeigh Sonja , Barker Paula , Glennie Andrew , Wang Di , Chen Melody , Cheng Christiana , Humphreys Suzanne , O'Connell Colleen , Attabib Najmedden , Engelbrecht Andre 
Published: June 2022

Abstract
STUDY DESIGN: Cohort study OBJECTIVES: To evaluate the impact of residential living location on health outcomes, environmental barriers, quality of life, and healthcare utilization patterns after traumatic spinal cord injury (tSCI).SETTING: Community setting, Atlantic CanadaMETHODS: An ambispective study of data collected on a subset of individuals enrolled in the Rick Hansen Spinal Cord Injury Registry (RHSCIR) from 2012 to 2018. Outcomes were analyzed using two measures of rurality: postal codes at community follow-up (rural versus urban) and residential travel distance to the nearest RHSCIR facility (>100km versus ≤100km). Outcomes studied included the Craig Hospital Inventory of Environmental Factors-Short Form (CHIEF-SF), Short Form-36 Version 2 (SF36v2), Life Satisfaction Questionnaire (LISAT-11), Spinal Cord Independence Measure (SCIM), secondary health complications and healthcare utilization patterns. Outcomes were assessed at 9 to 24 months post-discharge from initial hospitalization. RESULTS:104 participants were studied, 21 rural and 83 urban based on postal codes at community follow-up. 59 participants lived more than 100 km away from the nearest RHSCIR facility, while 45 participants lived within 100 km. Individuals from urban area codes reported a greater magnitude of perceived barriers on the policies and work/school subscales of the CHIEF-SF. No differences in function, quality of life, and healthcare utilization patterns according to the measures of rurality were observed. Individuals living >100km from the nearest RHSCIR facility reported greater rates of sexual dysfunction.CONCLUSIONSDespite differences in environmental barriers, individuals from urban and rural locations can have similar health outcomes and quality of life after tSCI.