bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Deep Learning Approach for Complex Microstructure Inference
Authors: Durmaz Ali Riza , Müller Martin , Lei Bo , Thomas Akhil , Britz Dominik , Holm Elizabeth A. , Eberl Chris , Mücklich Frank , Gumbsch Peter 
Published: April 2021

Abstract
Automated, reliable, and objective microstructure inference from micrographs is an essential milestone towards a comprehensive understanding of process-microstructure-property relations and tailored materials development. However, such inference, with the increasing complexity of microstructures, requires advanced segmentation methodologies. While deep learning (DL), in principle, offers new opportunities for this task, an intuition about the required data quality and quantity and an extensive methodological DL guideline for microstructure quantification and classification are still missing. This, along with a lack of open-access data sets and the seemingly intransparent decision-making process of DL models, hampers its breakthrough in this field. We address all aforementioned obstacles by a multidisciplinary DL approach, devoting equal attention to specimen preparation, contrasting, and imaging. To this end, we train distinct U-Net architectures with 30–50 micrographs of different imaging modalities and corresponding EBSD-informed annotations. On the challenging task of lath-bainite segmentation in complex-phase steel, we achieve accuracies of 90% rivaling expert segmentations. Further, we discuss the impact of image context, pre-training with domain-extrinsic data, and data augmentation. Network visualization techniques demonstrate plausible model decisions based on grain boundary morphology and triple points. As a result, we resolve preconceptions about required data amounts and interpretability to pave the way for DL's day-to-day application for microstructure quantification.
Factors related to Pregnancy Status Among Lebanese Women During COVID-19 Confinement
Authors: Haddad Chadia , Malhab Sandrella Bou , Sacre Hala , Malaeb Diana , Azzi Joelle , Khachman Dalia , Lahoud Nathalie , Salameh Pascale 
Published: April 2021

Abstract
Background: During the coronavirus disease confinement, couples are likely to spend more free time together at home, which could have a positive impact on the amount and level of intimacy. However, home confinement and lockdowns have created challenges and vulnerabilities, causing relevant changes in sexual health and couple stability, particularly in women. The objective of this study was to evaluate the socio-economic and psychological factors related to current pregnancy status and unwanted pregnancy among a sample of Lebanese women during the COVID-19 lockdown.Methods: A cross-sectional online-based study was conducted between June 8 and August 1, 2020, among 369 Lebanese women. The questionnaire developed on Google Forms was distributed through social media and WhatsApp groups, using the snowball technique. The current pregnancy status and unwanted pregnancy were assessed using binary questions (Yes/No).Results: Our results showed that 11.1% of women were pregnant, of whom 22.0% reported unwanted pregnancies. Having children (ORa=0.183) and using contraceptives (ORa=0.231) were at lower odds of getting pregnant. Higher psychological violence would negatively affect pregnancy, but the association tended to significance (p=0.065). Also, regular visits to the physician for routine checkups (ORa=0.053) were significantly associated with lower odds of unwanted pregnancy. Higher psychological violence would affect unwanted pregnancy; however, the association tended to significance (p=0.056). Conclusion: Our main findings indicate that women of younger age, smoking less, and never working were at a higher probability of being pregnant. Furthermore, psychological violence tended to be an associated factor for current pregnancy status and unwanted pregnancy. More information and awareness are needed to encourage women to conceive and maintain their well-being during a pandemic.
Disability and sexual and reproductive health service utilisation in Uganda: An intersectional analysis of Demographic and Health Surveys between 2006 and 2016
Authors: Mac-Seing Muriel , Zarowsky Christina , Yuan Mengru , Zinszer Kate 
Published: April 2021

Abstract
Background Universal health coverage, including sexual and reproductive health (SRH), pledges to “leave no one behind”. However, people with disabilities continue to experience multiple barriers in accessing SRH services. Studies analysing the impacts of disability in conjunction with other social identities and health determinants reveal a complex pattern in SRH service use. Framed within a larger mixed methods study conducted in Uganda, we examined how disability, among other key social determinants of health (SDH), influenced the use of SRH services. Methods We analysed data from repeated cross-sectional national surveys, the Uganda Demographic and Health Surveys (DHS) of 2006, 2011, and 2016. The three outcomes of interest were antenatal care visits, HIV testing, and modern contraception use. Our main exposure of interest was the type of disability, classified according to six functional dimensions: seeing, hearing, walking/climbing steps, remembering/concentrating, communicating, and self-care. We performed descriptive and multivariable logistic regression analyses. Regression analyses were informed by the intersectional framework to highlight social and health disparities withing groups. Results From 2006 to 2016, 15.5-18.5% of study participants lived with some form of disability. Over the same period, the prevalence of at least four antenatal care visits, HIV testing, and modern contraception use improved significantly. The DHS year, highest education level attained, and wealth index were the most consistent determinants of SRH service utilisation. People with different types of disabilities did not have the same SRH use patterns. Interactions between disability type and wealth index were associated with neither HIV testing nor the use of modern contraception. Women who were wealthy with hearing (OR = 0.15, 95%CI 0.03 – 0.87) or with communication difficulty (OR = 0.17, 95%CI 0.03 – 0.82) had lower odds of having had optimal antenatal care visits compared to women without disabilities who were poorer. Conclusion This study provided evidence that SRH service use improved over time in Uganda and highlight the importance of studying SRH and the different disability types when examining SDH. The SDH are pivotal to the attainment of universal health coverage, including SRH services, for all people irrespective of their social identities.
Effect of Modified Sijunzi Decoction on Macrophage Polarization Into M1 Phenotype in a Balb/c Mouse Model of Breast Cancer
Authors: zhou huamiao , Xu Binyue , Guo Yong , Zhang Xiangyun , Liu Zhendong 
Published: April 2021

Abstract
Background: The five-year survival rate of breast cancer is bleak because of the predilection for bone metastasis. Tumor-associated macrophages are involved in tumor metastasis and are divided into two antagonistic types, M1 and M2. This study aimed to detect the anti-tumor effect of the modified Sijunzi decoction (MSJZD) in a mouse model of breast cancer and explore whether MSJZD inhibited tumor metastasis by regulating macrophage polarization.Materials and methods: A luciferase-expressing mouse breast cancer cell line Luc-4T1 was inoculated into the right mammary fat pad of mice to establish a Balb/c mouse model of breast cancer. After inoculation for 24 h, the mice were randomly divided into the MSJZD group and control group (n = 5 per group). The mice in the MSJZD group were gavaged with 0.77 g/mL MSJZD once daily for 35 days, whereas those in the control group were administered the same volume of normal saline. Subsequently, the effects of MSJZD on tumor growth and macrophage polarization were investigated.Results: On day 35, MSJZD reduced tumor growth in the mouse model of breast cancer. Flow cytometry showed that the M1 marker (inducible nitric oxide synthase+) was increased in the MSJZD group relative to that in the control group, whereas the M2 marker (CD206+) did not exhibit significant differences between the two groups. The results indicated that MSJZD promoted macrophage polarization into the M1 phenotype.Conclusions: Our findings showed that MSJZD promoted macrophage polarization into the M1 phenotype, thus inhibiting tumor growth and metastasis in breast cancer.
Bio-weathering of granites from Eastern Dharwar Craton (India): A tango of bacterial metabolism and mineral chemistry
Authors: Chikkanna Arpitha , Ghosh Devanita , Sajeev K. 
Published: April 2021

Abstract
The bio-weathering process contributes majorly in the physical shaping of earth’s surface. The weathering of mineral is coupled to the formation of new minerals and release of bio-available nutrients for flora as well as microbial communities. Granites from the Eastern Dharwar Craton (EDC) India are felsic plutonic igneous rock composed of nutritive minerals. The major elemental composition of granite is such that, it forms an ancient ecological niche for diverse microbial communities. Interdisciplinary approaches were taken to construct a more comprehensive understanding of potential functional attributes of Actinobacteria in bio-weathering of granite. The paper includes molecular characterization of the isolated strains, detecting their granite bioweathering potentials through leaching experiments where Nocardioides showed highest mineral leaching indices with iron (Fe) being the most leached element (~ 6372 ppm). Scanning electron microscopic imaging indicated biofilm formation and Actinobacterial hyphae colonization. Petrographic, XRD and FTIR based study shows formation of secondary minerals [kaolinite, vermiculite and smectite]. To further establish the hypothesis of soil formation and nutrition transport, long-term (360 days) microcosm was developed. Deterioration and grain size alternations with increase in clay based minerals (kaolinite, vermiculite) and total protein content was observed. A bioinformatics based functional biodiversity approach in link to global bio-weathering of rocks by the genus Actinobacteria was adopted to understand their distribution patterns and contribution to alterations of rock minerals.
Arp2/3 Complex Subunits as Prognostic Biomarkers and Their Correlations With Immune Infiltration in Hepatocellular Carcinoma
Authors: Huang Shenglan , Li Dan , Zhuang LingLing , Sun Liying , WU Jianbing 
Published: April 2021

Abstract
Introduction: Actin‐related protein 2/3 complex (Arp2/3) is a major actin nucleator containing seven subunits in humans, which has been widely reported that Arp2/3 plays an important role in promoting migration and invasion of various kinds of cancers. Nevertheless, the expression patterns and prognostic values of Arp2/3 subunits and the correlation between ARP2/3 subunits with immune infiltration in hepatocellular carcinoma remains unclear.Methods: TCGA-FPKM dataset, Oncomine, CCLE and UCSC Xena database was used to obtained mRNA expression and clinical information of Arp2/3 subunits in HCC. The Arp2/3 subunits differential expression in HCC tissues and cell lines was analyzed by utilizing the Perl 5.30.0 and R 4.0.4 software. The protein expression data of Arp2/3 subunits was obtained from The Human Protein Atlas (HPA). The prognostic value of each individual Arp2/3 subunits was identified by R 4.0.4 software. The association between the mRNA expressions of Arp2/3 members in HCC tissues with their clinicopathologic parameters was analyzed by UALCAN. The relevance between tumor immunocyte infiltration and the Arp2/3 complex members were determined by the TIMER 2.0 platform and GEPIA database. A gene set enrichment analysis (GSEA) was performed to explore the potential mechanism of Arp2/3 complex members in the carcinogenesis of HCC.Results：The results revealed that expression of Arp2/3 family members(ACTR2,ACTR3,ARPC1A, APRC1B,ARPC2,ARPC3,ARPC4, ARPC5, ARPC5L) were up-regulated in hepatocellular carcinoma (HCC). Moreover, higher protein expressions of of ACTR3, ARPC1A, ARPC1B, ARPC2 were found in HCC tissues compared with normal liver tissues. The higher expression of of Arp2/3 family members were significantly correlated with poor survival and cancer stages in HCC patients. Multivariate analysis also demonstrated that ACTR3, ARPC2 and ARPC5 were independent prognostic biomarkers of survival in HCC patients. Meanwhile, ACTR3, ARPC2 and ARPC5 in HCC has positive significant correlations with the infiltration of immune cells. The GSEA results indicated that Arp2/3 members significantly involve in multiple cancer-related pathways by which promoted development of HCC. Conclusions：Various analysis indicated that certain Arp2/3 complex subunits were noticeably upregulated and predicted worse survival in HCC, which may be applied as promising molecular targets for diagnosis and therapy of HCC in the future.
Spectrum Sensing Based on Adaptive Sampling of Received Signal
Authors: Miao Jiawu , Tan Youheng , Zhang Yangying , Li Yuebo , Mu Junsheng , Jing Xiaojun 
Published: April 2021

Abstract
Spectrum sensing (SS) has been heatedly discussed due to its capacity to discover the idle registered spectrum bands, which effectively alleviates the shortage of spectrum by spectrum reuse. Energy detector (ED) is widely accepted for SS as its complexity is very low. In this paper, an adaptive sampling scheme is proposed to improve the sensing performance of ED, where the sampling point of the received signal is adaptively adjusted with the environment signal-to-noise ratio (SNR). When SNR decreases, the sensing performance can be maintained and even improved by the rise of the sampling point. When SNR increases, the improved ED is considered for idle spectrum detection. The SNR is evaluated based on the joint of convolutional neural network (CNN) and long short-term memory (LSTM) network. Both theoretical derivations and simulation experiments validate the effectiveness of the proposed scheme.
BCKDK Promotes EOC Proliferation and Migration By Activating The MEK/ERK Signaling Pathway
Authors: Li Huashun , Yu Dongyang , Li Lianbing , Xiao Juanjuan , Zhu Yijian , Liu Yi , Mu Li , Tian Yafei , Chen Linbo , Zhu Feng , Duan Qiuhong , Xue Peipei 
Published: April 2021

Abstract
Background: Ovarian cancer is the most fatal gynecologic cancer, and epithelial ovarian cancer (EOC) is the most common type. The branched-chain α-keto acid dehydrogenase kinase (BCKDK) plays an important role in many serious human diseases, including cancers. Its function in promoting cell proliferation and migration has been reported in various cancers. However, the biological role of BCKDK and its molecular mechanisms underlying EOC initiation and progression are unclear.Methods: First, the expression level of BCKDK in EOC cell lines or tissues was determined using tissue microarray (TMA)-based immunohistochemistry or western blotting. Then, growth curve analysis, anchorage-independent cell transformation assays, wound healing assays, cell migration assays, and tumor xenografts were used to test whether BCKDK could promote cell transformation or metastasis. Finally, the signaling pathways involved in this process were investigated by western blotting or immunoprecipitation.Results: We found that the expression of BCKDK was upregulated in EOC tissues and that high expression of BCKDK was correlated with an advanced pathological grade in patients. The ectopic overexpression of BCKDK promoted the proliferation and migration of EOC cells, and the knockdown of BCKDK with shRNAs inhibited the proliferation and migration of EOC ex vivo and in vivo. Moreover, BCKDK promoted EOC proliferation and migration by targeting MEK.Conclusions: Our results demonstrate that BCKDK promotes EOC proliferation and migration by activating the MEK/ERK signaling pathway. Targeting the BCKDK-MEK axis may provide a new therapeutic strategy for treating patients with EOC.
Development and Validation of a Prognostic Signature Based on Autophagy-related Long Non-coding RNA Analysis in Hepatocellular Carcinoma
Authors: Deng Yan , Zhang Feng , Liu Ji , Huo Cheng-Long , Zhang Xue-Wen , Sun Zhen-Gang , Wang Shuai 
Published: April 2021

Abstract
Background: The present aimed to establish a prognostic signature based on autophagy-related long non-coding RNAs (lncRNAs) analysis to predict the clinical outcome of hepatocellular carcinoma (HCC) patients using a comprehensive analysis of micro array data from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) databases. Methods: Based on co-expression network analysis, autophagy-related lncRNAs were obtained using edge R package. Univariate and multivariate analyses were used to develop an autophagy-related lncRNAs risk signature and a predictive nomogram by data from the TCGA database. Subgroup analysis and internal validation were performed to confirm the predictive power. Subsequently, the predictive autophagy-related lncRNA prognostic signature and nomogram were externally explored and validated by HCC patients from the ICGC database. Results: According to univariate and multivariate analyses, four autophagy-related lncRNAs (BACE1-AS, SNHG3, MIR210HG, and ZEB1-AS1) with prognostic value were identified in patients with HCC. Then, an autophagy-related lncRNAs prognostic signature was constructed. Based on the prognostic signature, all patients were subdivided into high- and low-risk groups. The autophagy-related lncRNA prognostic signature showed strong predictive power independent of all the clinicopathological features. A predictive nomogram based on the prognostic signature and multiple clinicopathological features was established through a survival analysis with the HCC data in TCGA. Internal validation demonstrated that the prognostic signature and nomogram have a strong power for predicting overall survival in patients with HCC. Whereas external validation further confirmed the robustly predictive power. Subsequently, functional enrichment analysis indicated the high-risk group mainly enriched in autophagy- and cancer-related pathways. Conclusions: The four autophagy-related lncRNAs prognostic signature and the predictive nomogram established in the study might support clinician in individual treatment optimization and clinical decision-making for patients with HCC.
Overexpression of AtDREB1 and BcZAT12 Genes Confers Drought Tolerance by Reducing Oxidative Stress in Double Transgenic Tomato (Solanum Lycopersicum Mill.)
Authors: Krishna Ram , Ansari Waquar Akhter , Jaiswal Durgesh Kumar , Prasad Ram , VERMA JAY PRAKASH , Singh Major 
Published: April 2021

Abstract
A large number of genes has been targeted at the molecular level and transferred in tomato varieties from different sources for drought stress tolerance. Developed single transgenic (ST) plants exhibited better yield under drought stress, although the yield was comparatively lower and the plant growth was reduced. Hence, double transgenic plants were developed to improve yield potential without compromising drought tolerance; for this Dehydration Responsive Element Binding protein 1A (AtDREB1A) and Brassica carinata Zinc finger proteins (BcZAT12) genes were stacked. Developed double transgenic (DT) tomato plants by co-over expressing of both the genes exhibited more enzymatic and non-enzymatic antioxidative activities than control. Double transgenic (DZ1-DZ5) tomato lines, co-overexpressing AtDREB1A and BcZAT12 showed enhanced drought tolerance than their counterpart and wild type (WT) plants at 0, 07, 14, and 21 days of water deficit (DWD), respectively. DT plants showed increased activity of antioxidant enzymes, like catalase (CAT), superoxide dismutase (SOD), glutathione reductase (GR), ascorbate peroxidase (APX), dehydroascorbate reductase (DHAR), monodehydroascorbate reductase (MDHAR) and guaiacol peroxidase (POD) and accumulation of non-enzymatic antioxidants like ascorbic acid, glutathione as compared to ST and WT. Additionally, the transcript analysis of antioxidant enzymes revealed the level of gene expression in DT tomato plants. In the present study, co-overexpression of AtDREB1A and BcZAT12 genes in tomato showed superior drought tolerance as compared to ST and WT by elevating activity and quantity of enzymatic and non-enzymatic antioxidants. This is the primary report in tomato, which forms the basis for a multigene transgenic approach to cope with drought stress.
Barriers and Facilitators to Implementing Measurement-based Care for Depression in Shanghai, China: A Situational Analysis
Authors: Murphy Jill K. , Michalak Erin E. , Liu Jing , Colquhoun Heather , Burton Hannah , Yang Xiaorui , Yang Tao , Wang Xing , Fei Yue , He Yanling , Wang Zuowei , Xu Yifeng , Zhang Ping , Su Yousong , Huang Jia , Huang Leping , Yang Lu , Lin Xiao , Fang Yiru , Liu Tianli , Lam Raymond W. , Chen Jun 
Published: April 2021

Abstract
Background: Measurement-based care (MBC) is an evidence-based practice for depression, but its use by clinicians remains low. Enhanced MBC (eMBC), which uses digital technologies, can help to facilitate the use of MBC by clinicians and patients. Understanding factors that act as barriers and drivers to the implementation of MBC and eMBC is important to support the design of implementation strategies, promoting uptake by clinicians and patients. Objective: This situational analysis identifies barriers and facilitators to the implementation of standard and eMBC at mental health centers in Shanghai, China. Methods: We used mixed methods to develop a comprehensive understanding of the factors influencing MBC and eMBC implementation in Shanghai. This study took place across three mental health centers in Shanghai. We used situational analysis tools to collect contextual information about the three centers, conducted surveys with n=116 clinicians and n=301 patients, conducted semi-structured interviews with n=30 clinicians and six focus groups with a total of n=19 patients. Surveys were analysed using descriptive statistics, and semi-structured interviews and focus groups were analysed using framework analysis. Results: Several potential barriers and facilitators to MBC and eMBC implementation were identified. Infrastructure, cost, attitudes and beliefs, and perceptions about feasibility and efficacy emerged as both challenges and drivers to MBC and eMBC implementation in Shanghai. Conclusions: The results of this study will directly inform the design of an implementation strategy for MBC and eMBC in Shanghai, that will be tested via a randomized controlled trial. This study contributes to the emerging body of literature on MBC implementation and, to the best of our knowledge, is the first such study to take place in Asia. This study identifies several factors that are relevant to the equitable delivery of MBC, recognizing the need to explicitly address equity concerns in global mental health implementation research.