bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quantitative Analysis of Terrain Reflected Solar Radiation in Snow‐Covered Mountains: A Case Study in Southeastern Tibetan Plateau
Authors: Chu Qing , Yan Guangjian , Qi Jianbo , Mu Xihan , Li Linyuan , Tong Yiyi , Zhou Yingji , Liu Yanan , Xie Donghui , Wild Martin 
Published: May 2021

AbstractTerrain reflected solar radiation in snow‐covered mountains is nonnegligible in investigations of the energy budget. However, it has so far not been investigated thoroughly, especially with regard to the influence of snow cover. Several parameterization approaches have been raised but not yet evaluated in a more uniform and quantitative manner. Based on the three‐dimensional (3‐D) ray‐tracing simulation, we explored the temporal and spatial characteristics of the terrain reflected radiation in 15 domains on the southeastern Tibetan Plateau, and comprehensively evaluated different parameterization approaches. The results indicate that the ratio of reflected radiation to total daily radiation ranges from 0.25% to 10.85% at the scale of 5 × 5 km2 in a winter clear day, and it is 57% higher at noon in spring and autumn due to the higher snow cover fraction. Snow cover not only enhances the magnitude of reflected radiation by increasing surface albedo but also changes the spatial distribution pattern of radiation in partial snow‐covered mountains, causing more snow‐reflected radiation to be received by the surrounding surfaces. Three forms of terrain configuration factors in common parameterization approaches were evaluated by the ray‐tracing model. The complementary of sky view factor shows good consistency with ray‐tracing model at domain‐averaged scales, with a root mean square error (RMSE) of 2.55 (14%) W/m2, while the other two both underestimate the radiation. The parameterization approach involving the multi‐reflection shows better performance with the normalized RMSE decreasing by 5%. However, the uncertainty of it increases with the surface spatial heterogeneity caused by the partial snow cover, especially at high resolution.
Properties of Lunar Regolith on the Moon's Farside Unveiled by Chang'E‐4 Lunar Penetrating Radar
Authors: Dong Zehua , Fang Guangyou , Zhou Bin , Zhao Di , Gao Yunze , Ji Yicai 
Published: May 2021

AbstractThe complex thermal history of the Moon leads to an unequal distribution of volcanic products between the lunar nearside and the farside. So far, no lunar materials have been sampled from the Moon's farside and no detailed properties of lunar regolith on the farside have been detected before. On January 3, 2019, Chang'E‐4 (CE‐4) touched down onto the Von Kármán crater on the Moon's farside. CE‐4 Lunar Penetrating Radar (LPR) onboard the Yutu‐2 rover is the first surface radar on the Moon's farside. Here we show the subsurface structure and properties of regolith materials at the landing region with LPR data during the first five lunar days. The thickness of lunar regolith is constrained as ∼12 m, much thicker than that at Chang'E‐3 (CE‐3) landing site, which is expected since CE‐3 landed on lunar maria. The relative permittivity of lunar surface (<30 cm) at CE‐4 landing region is identified to be 2.35 0.20. The loss tangent and TiO2 + FeO content of the regolith materials layer (0–∼12 m) are constrained to be and wt.%, respectively, much lower than those at CE‐3 landing site. It indicates that local surface materials possess less attenuation for radiowave, in accordance with the greater penetrating depth of CE‐4 LPR than that of CE‐3 LPR. Furthermore, the results also prove that the growth rate of lunar weathered regolith successively declines over time and the growth rate of lunar regolith on the Moon's farside may well be higher than that on the nearside due to the more frequent meteorite impacts.
Multi‐Region Multi‐Sector Contributions to Drivers of Air Pollution in China
Authors: Hang Ye , Wang Feng , Su Bin , Wang Yizhong , Zhang Wei , Wang Qunwei 
Published: May 2021

AbstractUntangling the reasons underlying changes in air pollution trajectories and regional emission differences is critical to guide efforts to attain air pollution reduction goals in China. Using Index decomposition analysis and the air pollution emission inventory, we identify the contributions of different regions and sectors to the socioeconomic factors driving China's sulfur dioxide and nitrogen oxides emissions change and difference from 2007 to 2012. We find that the reinforced end‐of‐pipe treatment, improved energy intensity and adjusted industrial structure dominated the emissions mitigation, while the provincial disparities in economy scale, energy pollution intensity and energy intensity led the emissions differences between regions. The emissions change was mainly driven by the utilities, capital‐intensive manufacturing and service sectors of several key provinces in Central, North, Northwest and Southwest. Less developed provinces generally had a larger potential in decreasing emissions by improving energy intensity and adjusting industrial structure, especially for the utilities and capital‐intensive manufacturing sectors. Our findings indicate that the successful emission reduction experiences for the power sector should be expanded to other major industrial sectors, further attention should be given to structure‐focused policy actions, and different pathways of emissions reduction should be chosen for different types of provinces based on change and difference characteristics of each driver.
Soil Microbial Community Response to Permafrost Degradation in Palsa Fields of the Hudson Bay Lowlands: Implications for Greenhouse Gas Production in a Warming Climate
Authors: Kirkwood J. Adam. H. , Roy‐Léveillée Pascale , Mykytczuk Nadia , Packalen Maara , McLaughlin Jim , Laframboise Amy , Basiliko Nathan 
Published: May 2021

AbstractPermafrost thaw in northern peatlands alters the ground thermal conditions, moisture, and chemistry that control microbial activity responsible for the production of greenhouse gases (GHGs) like methane from decomposing organic matter. This paper examines interactions between microbial communities, peat chemistry, moisture content, and temperature in the context of degrading palsa fields in the vast (372,000 km2), carbon rich, and rapidly warming permafrost peatlands of the Hudson Bay Lowlands. The temperature sensitivities of microbial GHG production and consumption from palsa and fen peat were assessed, and microbial community structure was examined as a potential constraint on GHG production in relation to changes in peat chemistry associated with thermokarst encroachment and active layer deepening. High CH4 production was observed from thermokarst peat, under controlled moisture and temperature conditions, associated with increased pH. A shift in methanogen taxonomic and metabolic diversity favoring aceticlastic methanogenesis was associated with changes in peat chemistry and pH from palsa to thermokarst fen peat. In palsa peat, CH4 production rates were lowest but most sensitive to temperature variations, due to recalcitrant carbon compounds. CH4 production was highly sensitive to increased temperatures, yet was balanced by high temperature sensitivity of CH4 oxidation in oxic conditions, consistent with the low temperature sensitivity of fluxes observed in field studies from other permafrost peatlands. Building on the microbial controls in this study, future work should explore how permafrost degradation and increased hydrological connectivity to mineral substrates are changing in this globally significant permafrost peatland, and how this impacts net CH4 emissions.
On the Variability of the DWBC Transport Between 26.5°N and 16°N in an Eddy‐Rich Ocean Model
Authors: Schulzki Tobias , Getzlaff Klaus , Biastoch Arne 
Published: May 2021

AbstractThe southward flow of North Atlantic Deep Water makes up the major component of the deepwater limb of the Atlantic Meridional Overturning Circulation (AMOC). In the subtropical North Atlantic, it's flow is concentrated along the continental slope, forming a coherent Deep Western Boundary Current (DWBC). Both, observations and models show a high variability of the flow in this region. Here we use an eddy‐rich ocean model to show that this variability is mainly caused by eddies and meanders. Their formation process involves an important contribution from energy transfer by barotropic instability. They occur along the entire DWBC pathway and introduce several recirculation gyres that result in a decorrelation of the DWBC transport at 26.5°N and 16°N, despite the fact that a considerable mean transport of 20 Sv connects the two latitudes. Water in the DWBC at 26.5°N is partly returned northward. Because the amount of water returned depends on the DWBC transport itself, a stronger DWBC does not necessarily lead to an increased amount of water that reaches 16°N. Along the pathway to 16°N, the transport signal is altered by a broad and temporally variable transit time distribution. Thus, advection in the DWBC cannot account for coherent AMOC changes on interannual timescales seen in the model.
DPP3/CDK1 contributes to the progression of colorectal cancer through regulating cell proliferation, cell apoptosis, and cell migration
Authors: Tong Yixin , Huang Yuan , Zhang Yuchao , Zeng Xiangtai , Yan Mei , Xia Zhongsheng , Lai Dongming 
Published: May 2021

AbstractAt present, colorectal cancer (CRC) has become a serious threat to human health in the world. Dipeptidyl peptidase 3 (DPP3) is a zinc-dependent hydrolase that may be involved in several physiological processes. However, whether DPP3 affects the development and progression of CRC remains a mystery. This study is the first to demonstrate the role of DPP3 in CRC. Firstly, the results of immunohistochemistry analysis showed the upregulation of DPP3 in CRC tissues compared with normal tissues, which is statistically analyzed to be positively correlated with lymphatic metastasis, pathological stage, positive number of lymph nodes. Moreover, the high expression of DPP3 predicts poor prognosis in CRC patients. In addition, the results of cell dysfunction experiments clarified that the downregulation of DPP3 significantly inhibited cell proliferation, colony formation, cell migration, and promoted apoptosis in vitro. DPP3 depletion could induce cell apoptosis by upregulating the expression of BID, BIM, Caspase3, Caspase8, HSP60, p21, p27, p53, and SMAC. In addition, downregulation of DPP3 can reduce tumorigenicity of CRC cells in vivo. Furthermore, CDK1 is determined to be a downstream target of DPP3-mediated regulation of CRC by RNA-seq, qPCR, and WB. The interaction between DPP3 and CDK1 shows mutual regulation. Specifically, downregulation of DPP3 can accentuate the effects of CDK1 knockdown on the function of CRC cells. Overexpression of CDK1 alleviates the inhibitory effects of DPP3 knockdown in CRC cells. In summary, DPP3 has oncogene-like functions in the development and progression of CRC by targeting CDK1, which may be an effective molecular target for the prognosis and treatment of CRC.
Potential role of senescent macrophages in radiation-induced pulmonary fibrosis
Authors: Su Lulu , Dong Yinping , Wang Yueying , Wang Yuquan , Guan Bowen , Lu Yanhua , Wu Jing , Wang Xiaochun , Li Deguan , Meng Aimin , Fan Feiyue 
Published: May 2021

AbstractRadiation-induced pulmonary fibrosis (RIPF) is a late toxicity of therapeutic radiation in clinic with poor prognosis and limited therapeutic options. Previous results have shown that senescent cells, such as fibroblast and type II airway epithelial cell, are strongly implicated in pathology of RIPF. However, the role of senescent macrophages in the development RIPF is still unknown. In this study, we report that ionizing radiation (IR) increase cellular senescence with higher expression of senescence-associated β-galactosidase (SA-β-Gal) and senescence-specific genes (p16, p21, Bcl-2, and Bcl-xl) in irradiated bone marrow-derived monocytes/macrophages (BMMs). Besides, there’s a significant increase in the expression of pro-fibrogenic factors (TGF-β1 and Arg-1), senescence-associated secretory phenotype (SASP) proinflammatory factors (Il-1α, Il-6, and Tnf-α), SASP chemokines (Ccl2, Cxcl10, and Ccl17), and SASP matrix metalloproteinases (Mmp2, Mmp9 and Mmp12) in BMMs exposed to 10 Gy IR. In addition, the percentages of SA-β-Gal+ senescent macrophages are significantly increased in the macrophages of murine irradiated lung tissue. Moreover, robustly elevated expression of p16, SASP chemokines (Ccl2, Cxcl10, and Ccl17) and SASP matrix metalloproteinases (Mmp2, Mmp9, and Mmp12) is observed in the macrophages of irradiated lung, which might stimulate a fibrotic phenotype in pulmonary fibroblasts. In summary, irradiation can induce macrophage senescence, and increase the secretion of SASP in senescent macrophages. Our findings provide important evidence that senescent macrophages might be the target for prevention and treatment of RIPF.
Upregulated PPARG2 facilitates interaction with demethylated AKAP12 gene promoter and suppresses proliferation in prostate cancer
Authors: Li Feng , Lu Tingting , Liu Dongmei , Zhang Chong , Zhang Yonghui , Dong Fulu 
Published: May 2021

AbstractProstate cancer (PCA) is one of the most common male genitourinary tumors. However, the molecular mechanisms involved in the occurrence and progression of PCA have not been fully clarified. The present study aimed to investigate the biological function and molecular mechanism of the nuclear receptor peroxisome proliferator-activated receptor gamma 2 (PPARG2) in PCA. Our results revealed that PPARG2 was downregulated in PCA, and overexpression of PPARG2 inhibited cell migration, colony formation, invasion and induced cell cycle arrest of PCA cells in vitro. In addition, PPARG2 overexpression modulated the activation of the Akt signaling pathway, as well as inhibited tumor growth in vivo. Moreover, mechanistic analysis revealed that PPARG2 overexpression induced increased expression level of miR-200b-3p, which targeted 3′ UTR of the downstream targets DNMT3A/3B, and facilitated interaction with demethylated AKAP12 gene promoter and suppressed cell proliferation in PCA. Our findings provided the first evidence for a novel PPARG2-AKAP12 axis mediated epigenetic regulatory network. The study identified a molecular mechanism involving an epigenetic modification that could be possibly targeted as an antitumoral strategy against prostate cancer.
Principle and performance analysis for six‐pole hybrid magnetic bearing with a secondary air gap
Authors: Liu Gai , Zhu Huangqiu , Zhang Weiyu 
Published: May 2021

AbstractIn order to reduce the non‐linearity of radial suspension forces of the three‐pole hybrid magnetic bearing and further reduce the cost and power consumption, an AC six‐pole hybrid magnetic bearing with secondary air gaps is proposed. First, the structure and working principle of the AC six‐pole hybrid magnetic bearing with secondary air gaps are introduced, and the mathematical model of suspension forces are derived. Second, on the basis of the mathematical model, the linearity and coupling characteristics of the radial suspension forces are analysed, and then the suspension forces are simulated and verified by the finite element method (FEM). Then, the correlation performance indexes are compared with the six‐pole hybrid magnetic bearing without secondary air gaps. Finally, an experimental platform is built, and suspension and disturbance tests are carried out. The research results show that the maximum bearing capacity of the six‐pole hybrid magnetic bearing with secondary air gaps is 184% of the six‐pole hybrid magnetic bearing without secondary air gaps.
Eavesdropping like a bat: Towards fusing active and passive sonar for a case study in simultaneous localization and mapping
Authors: Jahromi Shirazi Masoud , Abaid Nicole 
Published: May 2021

AbstractAmong so‐called active sensors that use self‐generated signals, sonar sensors are more challenging to implement than lidar and radar due in part to their limited angular field of sensing. A common solution to this challenge is scanning sensors that sweep an angular range with successive measurements. However, scanning sensors are particularly problematic for sonar because of the relatively slow sound speed and the inertia of the sonar head. Studies of bat behaviour suggest that bats may eavesdrop on their conspecifics during group flight. In other words, they fuse information gathered by their own active sonar with information they receive by passively listening to peers. Because bats are extremely skilled in using sonar, this behaviour inspired an investigation into whether fusing active and passive sonar can be a solution to the challenges of implementing sonar sensors. A model of fused sensing is defined, and a numerical simulation is used to answer this question on the test bed problem of simultaneous localization and mapping (SLAM). The simulation results show that when the angular range of active sonar and associated noise is relatively small, the robot's performance in solving SLAM is improved.
DeepGTT: A general trajectory tracking deep learning algorithm based on dynamic law learning
Authors: Yu Wanting , Yu Hongyi , Du Jianping , Zhang Mengli , Liu Jianfeng 
Published: May 2021

AbstractDeep learning technology provides novel solutions for increasingly complex target tracking requirements. For traditional target tracking models, the movement of the target need to be simulated by a predefined mathematical model. However, it is extremely difficult to obtain sufficient information in advance, which makes it challenging to track changeable and noisy trajectories in a timely and precise manner. A deep learning framework is constructed for automatic trajectory tracking based on learning the dynamic laws of motion, called DeepGTT. Specifically, a trajectory generator and a trajectory mapper were designed to standardise trajectory data and construct trajectory mapping, which enable the long short‐term memory–based tracking network to learn general dynamic laws. Then, to discuss the interpretability of the model, the mechanism of the deep learning framework is considered and a memory factor matrix is defined. Finally, extensive experiments are conducted on various weak manoeuvring and manoeuvring scenarios to evaluate the algorithm. Experimental results demonstrate that the DeepGTT algorithm remarkably improves accuracy and efficiency compared with most conventional algorithms and state‐of‐the‐art methods. In addition, interpretability experiments qualitatively prove that the tracking network can perceive dynamic laws when estimating the target state.
Current Treatment Approaches for Human Epidermal Growth Factor Receptor 2-Positive Breast Cancer in Adjuvant and Neoadjuvant Settings
Authors: Goyal Pankaj , Doval Dinesh Chandra , Agarwal Chaturbhuj , Jain Parveen , Chaudhari Krushna , Domadia Kshitij , Redhu Pallavi , Koyyala Venkata Pradeep Babu , Goel Varun , Batra Ullas , Talwar Vineet , Bothra Sneha 
Published: May 2021

AbstractBreast cancer (BC) is the second most common cancer and the second leading cause of mortality among women globally. Approximately 20 to 25% of BC patients have amplification of the human epidermal growth factor receptor 2 (HER2) genes, a marker of poor prognosis. However, the introduction of anti-HER2-therapies (trastuzumab, followed closely by lapatinib, pertuzumab, trastuzumab emtansine, and neratinib) has changed the natural history of HER2-positive BC and improved the outcome in HER2-positive BC patients. The preeminence of anti-HER2 combination therapy in achieving complete inhibition of the various HER receptor dimers has been demonstrated in clinical studies. However, despite these therapeutic advances, tumors expressing estrogen receptor have poorer responses to targeted therapy and are more likely to relapse. A better understanding of resistance to existing anti-HER2 agents, along with the role played by the microenvironment and of interconnected signaling pathways, can permit tailor-made therapeutic options for each patient. This review aimed to evaluate treatment approaches for BC patients with HER2-positive disease in the adjuvant and neoadjuvant settings, also exploring the possibilities of extended duration of anti-HER2 maintenance therapy.
Coronavirus Disease (COVID-19) Testing in Asymptomatic Patients Planned for Day Care Systemic Therapy: A Tertiary Cancer Center Experience
Authors: Ovett Jerin , Dhanushkodi Manikandan , Radhakrishnan Venkatraman , Mehra Nikita , Kalaiarasi Jayachandran Perumal , Selvarajan Gangothri , Rajan Arun Kumar , Karunakaran Parathan , Kesana Sivasree , Sagar Tenali Gnana 
Published: May 2021

AbstractIntroduction The Indian Council of Medical Research recommends coronavirus disease 2019 (COVID-19) testing for asymptomatic patients only in hospitalized condition or those seeking hospitalization for chemotherapy.Materials and Methods This was a retrospective study to assess the incidence of asymptomatic COVID-19 positivity among asymptomatic, adult patients who were planned for systemic therapy as day care at a tertiary care cancer center. COVID-19 testing was done by reverse transcriptase-polymerase chain reaction by throat/nasopharyngeal swab once before the first cycle of systemic therapy and once every 3 weeks until completion of systemic therapy.Results A total of 824 systemic therapies were delivered in day care from May 7 to June 20, 2020. Among the 761 COVID-19 testing done before systemic therapy, 11 patients were COVID-19 positive (1.45%, 95% confidence interval: 0.60–2.29). Among the 11 patients, 45% were negative before the first systemic therapy but tested positive before subsequent cycles. Among the asymptomatic COVID-19-positive patients, 54% were hospitalized for observation and 46% were on home quarantine for 14 days. None of them received investigational therapy or traditional treatment for COVID-19. None of the patients needed admission in the intensive care unit or oxygen/ventilatory support. There was no mortality among these patients. All patients turned COVID-19 negative at a median of 9 days. Currently, 45% (n = 5/11) of the patients have resumed systemic therapy.Conclusion The incidence of asymptomatic COVID-19 positivity among adult cancer patients planned for day care systemic therapy is low (1.45%). Hence, COVID-19 testing should be done after informed/shared decision with the patient/attendants. Repeat COVID-19 testing before each cycle of systemic therapy is preferable, as 45% of the patients were COVID-19 negative before the first cycle of systemic therapy and turned positive before subsequent cycles in the present study. There was no morbidity or mortality in this cohort of asymptomatic COVID-19-positive cancer patients.
A gentler structure to life: co-creation in branding a cultural route
Authors: Lemmetyinen Arja , Nieminen Lenita , Aalto Johanna 
Published: May 2021

AbstractThe study explores how a cultural route supports the identity of a place. The study applies co-creative and identity-based place-branding theory and advances research on the significant role of culture when various actors identify with the brand of a place. Moreover, cultural sustainability is seen as a form of meta-narrative that frames the symbiosis of a place brand and its cultural values. Contributing to the previous research on branding a cultural route, this study discusses the value of a person (an architect) to the branding of a cultural route. The study also contributes to place-branding theory by linking the discourse on architectural heritage and branding an emerging cultural route. We used a single and critical case approach focusing on one of the sites representing a group of cities involved in the branding of the Alvar Aalto cultural route. Various qualitative research methods including interviews and publicly available material were utilized. The study presents empirical findings on branding an emergent cultural route. As a key theoretical contribution, the study shows how the culture and image of an individual site are expressed in the cohesive brand identity of that cultural route. Communication and co-creation are revealed to be prerequisites of efficient collaboration.