bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sexual Orientation and Gender Identity Data Collection at US Health Centers: Impact of City-Level Structural Stigma in 2018
Authors: Almazan Anthony N. , King Dana , Grasso Chris , Cahill Sean , Lattanner Micah , Hatzenbuehler Mark L. , Keuroghlian Alex S. 
Published: September 2021

Objectives. To examine the relationship between city-level structural stigma pertaining to sexual orientation and gender identity (SOGI) and completeness of patient SOGI data collection at US federally qualified health centers (FQHCs). Methods. We used the Human Rights Campaign’s Municipal Equality Index to quantify city-level structural stigma against sexual and gender minority people in 506 US cities across 49 states. We ascertained the completeness of SOGI data collection at FQHCs from the 2018 Uniform Data System, which describes FQHC patient demographics and service utilization. We included FQHCs in cities captured by the structural stigma index in multinomial generalized linear mixed models to examine the relationship between city-level structural stigma and SOGI data completeness. Results. FQHCs in cities with more protective sexual orientation nondiscrimination policies reported more complete patient sexual orientation data (adjusted odds ratio [AOR] = 1.6; 95% confidence interval [CI] = 1.2, 2.1). This association was also found for gender identity nondiscrimination policies and gender identity data collection (AOR = 1.7; 95% CI = 1.3, 2.2). Conclusions. Municipal sexual and gender minority nondiscrimination laws are associated with social and municipal environments that facilitate patient SOGI data collection.(Am J Public Health. 2021;111(11):2059–2063. https://doi.org/10.2105/AJPH.2021.306414 )
PENGARUH KOMBINASI PUPUK ORGANIK DAN PUPUK HAYATI TERHADAP PERTUMBUHAN, PRODUKSI DAN MUTU PEGAGAN
Authors: Widyastuti Rahma , Listyana Nurul Husniyati , Hartanto Erri Setyo 
Published: September 2021

<em>Gotu kola is one of the medicinal plants that has begun to be cultivated by the Indonesian people. It’s cultivation needs to follow the GAP to produce the qualified yield, including the use of fertilizers. Biofertilizers have been widely developed to reduce adverse effects of chemical fertilizers to the environment, thus an organic cultivation method can be an alternative. The aim of this study was to determine the effect of biofertilizer on growth and yield of gotu kola. This research was an experimental study with a completely randomized design (CRD) using 8</em> <em>planting media treatments consisting of (a) Soil + manure + dolomite; (b) Soil manure + 1 g biofertilizer; (c) Soil + dolomite + 1g biofertilizer; (d) Soil + manure + 3 biofertilizer; (e) Soil + dolomite + 3 biofertilizer; (f) Soil + manure + 5 g biofertilizer; (g) Soil + dolomite + 5 g biofertilizer; and (h) Soil + 3 g</em> <em>biofertilizer. Parameters observed were leaf area, stem length, number of leaves, number of tillers, fresh weight, dry weight and asiaticoside content. The results showed that combination treatment of biofertilizer (1 g) with dolomite (30 g) gives better effect in increasing the number of tillers and number of leaves, while the combination of biofertilizer (5 g) and dolomite (30 g) is the best for asiaticoside levels in gotu cola.</em>
Cell surface and intracellular auxin signalling for H+-fluxes in root growth
Authors: Li Lanxin , Verstraeten Inge , Roosjen Mark , Takahashi Koji , Rodriguez Lesia , Merrin Jack , Chen Jian , Shabala Lana , Smet Wouter , Ren Hong , Vanneste Steffen , Shabala Sergey , De Rybel Bert , Weijers Dolf , Kinoshita Toshinori , Gray William M. , Friml Jiří 
Published: September 2021

Abstract
Growth regulation tailors plant development to its environment. A showcase is response to gravity, where shoots bend up and roots down1. This paradox is based on opposite effects of the phytohormone auxin, which promotes cell expansion in shoots, while inhibiting it in roots via a yet unknown cellular mechanism2. Here, by combining microfluidics, live imaging, genetic engineering and phospho-proteomics in Arabidopsis thaliana, we advance our understanding how auxin inhibits root growth. We show that auxin activates two distinct, antagonistically acting signalling pathways that converge on the rapid regulation of the apoplastic pH, a causative growth determinant. Cell surface-based TRANSMEMBRANE KINASE1 (TMK1) interacts with and mediates phosphorylation and activation of plasma membrane H+-ATPases for apoplast acidification, while intracellular canonical auxin signalling promotes net cellular H+-influx, causing apoplast alkalinisation. The simultaneous activation of these two counteracting mechanisms poises the root for a rapid, fine-tuned growth modulation while navigating complex soil environment.
HINRL4Rec: A Novel Integrated Heterogeneous Network Embedding with Reinforcement Learning for Recommendation
Authors: Vo Tham 
Published: September 2021

Abstract
Recent KG-oriented recommendation techniques mainly focus on the direct interaction between entities in the given KGs as the rich information sources for leveraging the quality of recommendation outputs. However, they are still hindered by the heterogeneity, type-varied entities and their relationships in knowledge graphs (KG) as the heterogeneous information networks (HIN). This limitation seems challenging to build up an effective approach for the KG-based recommendation system in both semantic path-based exploitation and heterogeneous information extraction. To meet these challenges, we proposed a novel integrated HIN embedding with reinforcement learning (RL)-based feature engineering for recommendation, called as: HINRL4Rec. First of all, we apply the combined textual meta-path-based embedding approach for learning multiple-rich-schematic representations of user/item and their associated entities. Then, these extracted multi-typed embeddings of user and item entities are fused into the unified embedding spaces during the KG embedding process. Finally, the unified representations of users and items are then used to facilitate the RL-based policy-driven searching process in the next steps for performing the recommendation task. Extensive experiments in real-world datasets demonstrate the effectiveness of our proposed model in comparing with recent state-of-the-art recommendation baselines.
SCUBE3 Downregulation Modulates Hepatocellular Carcinoma By Inhibiting CCNE1 Via TGFβ/PI3K/AKT/GSK3β Pathway
Authors: xu Pan , Luo Aoran , Xiong Chuan , Ren Hong , Liang Yan , Luo Qiang 
Published: September 2021

Abstract
Objectives: We aimed to verify the role of signal peptide-CUB-EGF-like domain-containing protein3 (SCUBE3) in the hepatocellular carcinoma (HCC) progression.Methods: The role·of SCUBE3 in HCC cell proliferation, apoptosis, and cell cycle in vitro were investigated using MTT assay, 5-ethynyl-2´-deoxyuridine assay (EDU), Celigo cell counting assay, Caspase3/7 activity assay, and flow cytometry. The effect of SCUBE3 on HCC cell proliferation in vivo was investigated by a xenograft tumor model in nude mice. The related mechanisms were further investigated.Results: SCUBE3 was upregulated in HCC tissues and cell lines. Knockdown of SCUBE3 inhibited proliferation, promoted apoptosis, and induced cell cycle arrest in HCC cell lines in vitro and vivo. Screening of cell cycle-related proteins revealed CCNL2, CDK6, CCNE1, and CCND1 exhibited a significantly different expression profile. We found that SCUBE3 may promote the proliferation of HCC cells by regulating CCNE1 expression. The pathway enrichment analysis showed that the TGFβ signaling pathway and the PI3K/AKT signaling pathway were significantly altered. Co-immunoprecipitation results showed that SCUBE3 binds to the TGFβRII receptor. SCUBE3 knockdown inhibited the PI3K/AKT signaling pathway and the phosphorylation of GSK3β to inhibit its kinase activity.Conclusions：SCUBE3 promotes HCC development by regulating CCNE1 via TGFβ/PI3K/AKT/GSK3βpathway. In addition, SCUBE3 may be a new molecular target for clinical diagnosis and treatment of HCC.
Realization of Ultrathin Waveguides by Elastic Metagratings
Authors: Hu Yabin , Zhang Yunhao , Su Guangyuan , Zhao Meiying , Li Bing , Liu Yongquan , Li Zheng 
Published: September 2021

Abstract
Guiding transports of classical waves has inspired a wealth of nontrivial physics and momentous applications in a wide range of fields. To date, a robust and compact way to guide energy flux travelling along an arbitrary, prescheduled trajectory in a uniform medium is still a fundamental challenge. Here we propose and experimentally realize a generic framework of ultrathin waveguides for full-angle wave trapping and routing. The metagrating-based waveguide can totally suppress all high-order parasitic diffractions to efficiently route guided elastic waves without leakage. Remarkably, the proposed waveguide protype works in a broad frequency range from 12 to 18 kHz and regardless of the incident angle. An analytical slab-waveguide model is further presented to predict and tailor the diffracted patterns in the metagrating-based waveguide. Compared with existing methods based on topological edge states or defected metamaterials, our meta-waveguide strategy exhibits absolute advantages in compact size, robust performance, and easy fabrication, which may provide a new design paradigm for vibration control in solids, wave steering in electromagnetics, acoustics and other waves.
TGF-β1 Regulates Smooth Muscle Cells Differentiation from Adipose-Derived Stem Cells via the Wnt/β-Catenin Pathway
Authors: Lv Xuling , Chen Hao , Zhang Zikai , Li Tian , Wei Qing , He Yucang , Wang Jingping , Li Liqun , Lin Ming 
Published: September 2021

Abstract
Background: Pelvic floor dysfunction (PFD) is a spectrum of disorders including stress urinary incontinence and pelvic organ prolapse. Transforming growth factor-β1 (TGF-β1) can induce mesenchymal stem cells (MSCs) to differentiate into smooth muscle cells (SMCs). SMCs derived from adipose-derived stem cells (ADSCs) can be used to repair damaged pelvic floor smooth muscle tissues, which is of great interest for clinical applications using stem cell therapy for PFD. The Wnt/β-catenin pathway acts as a decisive factor in the fate of stem cells.Methods and Results: In this study, we used medium containing TGF-β1, TGF-β1 inhibitor LY2109761, or Wnt/β-catenin inhibitor KYA1797K, to induce ADCSs to differentiate into SMCs in vitro to explore the influence of TGF-β1 on the myogenic differentiation of ADCSs via the Wnt/β-catenin pathway. Results: 1) TGF-β1 induces ADSC-derived SMCs to hyper-express the SMC markers including SMA-α, Desmin, Calponin, and SMMHC ; 2) TGF-β1 activates the Wnt/β-catenin signaling pathway in ADSCs. After blocking TGF-β1, the Wnt/β-catenin pathway and myogenic differentiation in cells were inhibited; 3) the Wnt/β-catenin pathway is involved in the differentiation of ADSCs into SMCs. After differentiation induction, the synchronized changes in the activation of Wnt/β-catenin signaling and the expression of SMC-specific proteins showed a trend of simultaneous changes, and after the inhibition of the Wnt pathway, the adult muscle differentiation was significantly inhibited.Conclusions: We established a simpler and more efficient method for inducing ADSCs to differentiate into SMCs using TGF-β1 and demonstrated that the Wnt/β-catenin signaling pathway is activated during this process.
Interval Data Aggregation Technology for Large Scale Decision Making
Authors: Chen Linxin , Chen Riqing , Lin Jian 
Published: September 2021

Abstract
In this paper, an improved multiple attribute decision making (MADM) method based on the proposed novel score function and accuracy function of interval-valued intuitionistic fuzzy numbers (IVIFNs) is proposed to aggregate large-scale data. The attribute values in the decision matrices provided by each decision-maker (DM), which are characterized by interval numbers. First, a transformation matrix is introduced to define the concepts of satisfactory set, un- satisfactory set and uncertainty set of alternatives. An approach is then developed for aggregating attribute values into IVIFNs, and we will obtain the collective evaluation of each alternative. Next, using the interval-valued intuitionistic fuzzy weighted averaging operator, the collective attribute values characterized by IVIFNs are aggregated to get the overall evaluation of alternatives. The score function and accuracy function are applied to calculate the score degree and the rank of each alternative. Finally, a large-scale example is given to verify the validity of the reported method.
Black carbon and dust alter the response of mountain snow
cover under climate change
Authors: REVEILLET Marion , Dumont Marie , Gascoin Simon , Lafaysse Matthieu , Nabat Pierre , Ribes Aurélien , Nheili Rafife , Tuzet François , Menegoz Martin , Morin Samuel , Picard Ghislain , Ginoux Paul 
Published: September 2021

Abstract
By darkening the snow surface, mineral dust and black carbon (BC) deposition enhances snowmelt and triggers numerous feedbacks. Assessments of their long-term impact at the regional scale are still largely missing despite the environmental and socio-economic implications of snow cover changes. Here we show, using numerical simulations, that dust and BC deposition has advanced snowmelt by 17 days on average in the French Alps and the Pyrenees over the 1979–2018 period, with major implications for water availability. We demonstrate that the decrease in BC deposition since the 1980s moderates the impact of current warming on snow cover decline. Hence, accounting for changes in light-absorbing particles deposition is required to improve the accuracy of snow cover reanalyses and climate projections, that are crucial for better understanding the past and future evolution of mountain social-ecological systems.
Enforced Home-working Under Lockdown and its Impact on Employee Wellbeing: A Cross-sectional Study
Authors: Platts Katharine , Breckon Jeff , Marshall Ellen 
Published: September 2021

Abstract
Background: The Covid-19 pandemic precipitated a shift in the working practices of millions of people. Nearly half the British workforce (47%) reported to be working at home under lockdown in April 2020. This study investigated the impact of enforced home-working under lockdown on employee wellbeing via markers of stress, burnout, depressive symptoms, and sleep. Moderating effects of factors including age, gender, number of dependants, mental health status and work status were examined alongside work-related factors including work-life conflict and leadership quality. Method: Cross-sectional data were collected over a 12-week period from May to August 2020 using an online survey. Job-related and wellbeing factors were measured using items from the COPSOQIII. Stress, burnout, somatic stress, cognitive stress, and sleep trouble were tested together using MANOVA and MANCOVA to identify mediating effects. T-tests and one-way ANOVA identified differences in overall stress. Pearson’s correlation coefficient assessed the moderating effects of work status. Regression trees identified groups with highest and lowest levels of stress and depressive symptoms. Results: 81% of respondents were working at home either full or part-time (n=623, 62% female). Detrimental health impacts of home-working during lockdown were most acutely experienced by those with existing mental health conditions regardless of age, gender, or work status, and were exacerbated by working regular overtime. In those without mental health conditions, predictors of stress and depressive symptoms were being female, under 45 years, home-working part-time and two dependants, though men reported greater levels of work-life conflict. Place and pattern of work had a greater impact on women. Lower leadership quality was a significant predictor of stress and burnout for both men and women, and, for employees aged >45 years, had significant impact on level of depressive symptoms experienced. Conclusions: Experience of home-working under lockdown varies amongst groups. Knowledge of these differences provide employers with tools to better manage employee wellbeing during periods of crisis. While personal factors are not controllable, the quality of leadership provided to employees, and the ‘place and pattern’ of work, can be actively managed to positive effect. Innovative flexible working practices will help to build greater workforce resilience.
Towards A Genetic Model Organism: An Efficient Method For Stable Genetic Transformation of Eschscholzia Californica (Ranunculales)
Authors: Lotz Dominik , Imani Jafargholi , Ehlers Katrin , Becker Annette 
Published: September 2021

Abstract
California poppy (Eschscholzia californica) is a member of the Ranunculales, the sister order to all other eudicots and as such in a phylogenetically highly informative position. Ranunculales are known for their diverse floral morphologies and biosynthesis of many pharmaceutically relevant alkaloids. E. californica it is widely used as model system to study the conservation of flower developmental control genes. However, within the Ranunculales, options for stable genetic manipulations are rare and genetic model systems are thus difficult to establish. Here, we present a method for the efficient and stable genetic transformation via Agrobacterium tumefaciens-mediated transformation, somatic embryo induction, and regeneration of E. californica. Further, we provide a rapid method for protoplast isolation and transformation. This allows the study of gene functions in a single-cell and full plant context to enable gene function analysis and modification of alkaloid biosynthesis pathways by e.g. genome editing techniques providing important genetic resources for the genetic model organism E. californica.
Predictive Value of Ectopic Inner Foveal Layer Without Internal Limiting Membrane Peeling For Idiopathic Epiretinal Membrane Surgery
Authors: Karasu Buğra , Çelebi Ali Rıza Cenk 
Published: September 2021

Abstract
Purpose: To investigate the clinical importance of ectopic inner foveal layer (EIFL) grading (mild to severe) diagnosed with idiopathic epiretinal membrane (iERM) patients who were peeled up only ERM in eyes with EIFL.Materials and Methods: Patients diagnosed with iERMs who have undergone PPV including only ERM peeling were enrolled into the study; and follow-up findings were recorded at baseline, months 3, 6, 12, and final examinations, retrospectively. EIFL was divided into four grades from mild to severe. Pre- and postoperative anatomical changes were measured by spectral domain optical coherence tomography (SD-OCT) imaging method. The association between EIFL and other SD-OCT parameters with best corrected visual acuity (BCVA) was assessed before and after PPV surgery.Results: One-hundred thirty eight eyes of 106 patients with EIFL (mild to severe) were included in the study. The higher thickness of EIFL was significantly correlated with lower baseline BCVA (r = 0.575, p = 0.020) and final BCVA (r=0.748, p= 0.001). Although, EIFLs continued in advanced stage cases (stage 3 and 4) (64 eyes (82%)) at final visit, observed in 8 eyes (23 %) in early stage (stage 2) of iERMs. Above all, a strong positive correlation was found between EIFL thickness and ERM recurrence rate (r=0.876, p <0.001). Recurrence ERM was detected in 27 eyes, which were found in 2 eyes (%7) at stage 1, 3 eyes (%9) at stage 2, 10 eyes (%23) at stage 3, and 12 eyes (%33) at stage 4 (p<0.001).Conclusion: A negative relationship was found between the severity of EIFL and postoperative anatomical and visual recovery. In terms of surgical timing, early stages (stage 1 and 2) may be preferred for providing good anatomical and visual recovery and low recurrence rate following surgery. In relation to further anatomical and visual yields, additional internal limiting membrane peeling may not be an essential procedure for early grades of iERMs (stage 1 and 2).
UAV adaptive trajectory tracking control under unknown time-varying disturbance and input saturation
Authors: Zhou Yimin , Tian Zengwu 
Published: September 2021

Abstract
In this paper, the flight control of the Unmanned aerial vehicle (UAV) is discussed with the proposed adaptive dynamic surface control method owing to its underactuated and non-linear characteristics. The proposed control algorithm is based on radial basis function (RBF) neural network and anti-saturation auxiliary system to realize high-precision trajectory tracking under time-varying disturbances and input saturation. First, the nonlinear dynamic model of the UAV with disturbances is established with the aid of rigid body motion theory. With the adoption of the dynamic surface control algorithm, the error surface and the Lyapunov function are defined to design the preliminary control law of the designed controller. Then the RBF neural network is introduced to estimate and compensate the disturbance. Further, an anti - saturation module is designed to tackle the problem of input saturation. By using the Lyapunov stability theory, it is proved that the stability and signal consistency of the closed-loop system are bounded, along with the constrained conditions of the control parameters. Simulation experiments have been performed and the results demonstrate that the proposed control algorithm has high-precision trajectory tracking ability and strong anti-disturbance capability under the input saturation constraint with high control performance.
Suicide Rate and Social Environment Characteristics in South Korea: The Roles of Socioeconomic, Demographic, Urbanicity, General Health Behaviors, and Other Environmental Factors On Suicide Rate
Authors: Jang Hyemin , Lee Whanhee , Kim Yong-ook , Kim Ho 
Published: September 2021

Abstract
Background: Suicide is a serious worldwide public health concern, and South Korea has shown the highest suicide rate among Organisation for Economic Co-operation and Development (OECD) countries since 2003. Nevertheless, most previous Korean studies on suicide had limitations in investigating various social environment factors using long-term nationwide data. Thus, this study aimed to examine how various social environment characteristics are related to the suicide rate on a district-level, using nationwide longitudinal data over 11 years.Methods: We used the district-level age-standardized suicide rate and a total of 12 annual social environment characteristics of socioeconomic, demographic, urbanicity, general health behaviors, and other environmental characteristics from 229 administrative districts in South Korea. A linear mixed-effect model (LMEM) was used to examine the association between the rate of suicide and the social environment indicators selected for the study.Results: In the total population, the indicators “% population aged 65 and older eligible for the basic pension”, “% vacant houses in the area”, “% divorce”, “% detached houses”, and “% current smokers” showed positive associations with the suicide rate. In contrast, “% people who regularly participated in religious activities” and “number of sports facilities per 1,000 persons” showed negative associations with suicide rate. The associations between social environment characteristics and suicide rate were generally more pronounced in males and more urbanised areas, than in females and less urbanised areas; however, associations differed amongst age groups, depending on the social environment characteristic variable under study.Conclusions: This study investigated the complex role of social environments on suicide rate in South Korea and revealed that higher suicide rates were associated with lower values of socioeconomic status, physical exercise, and religious activities, and with higher social isolation and smoking practice. Our results can be used in the development of targeted suicide prevention policies.