bluuebunny/crossref_metadata_2025_split huggingface dataset:
Understanding Terrestrial Water Storage Declining Trends in the Yellow River Basin
Authors: Jing Wenlong , Yao Ling , Zhao Xiaodan , Zhang Pengyan , Liu Yangxiaoyue , Xia Xiaolin , Song Jia , Yang Ji , Li Yong , Zhou Chenghu 
Published: November 2019

AbstractUnder dual impacts from climate change and human activities, the Yellow River Basin (YRB) of China suffers from droughts and water scarcity. Understanding variations of terrestrial water storage (TWS) over the YRB is significant and beneficial to regional water resources management and sustainable development. This study investigates TWS variations in the YRB using data sets from two solutions (RL05 and RL06) of the Gravity Recovery and Climate Experiment (GRACE) satellites, as well as from global land surface models (the NOAH model and Catchment Land Surface Model [CLSM]) and hydrology and water resources model (PCR‐GLOBWB). Annual terrestrial water storage anomalies (TWSA) variation patterns were tracked by introducing a weighed centroid analysis concept. Human water use was analyzed, and its importance to TWS changes was evaluated by using the random forest algorithm. Conclusions can be briefly summarized as follows: (1) The declining trend of TWS in the YRB from the RL06 solution is more negative than that from RL05; the TWS trend from the PCR‐GLOBWB model is more consistent with GRACE than with the NOAH model and CLSM at the basin level, and the three models all underestimate the declining trend of TWS in the midstream relative to the GRACE solutions. (2) Spatial weighed centroids of annual GRACE TWSA moved toward the headwater of the YRB during the 2003–2015 period, suggesting a wide gap of TWS between the upstream and downstream YRB; the TWSA time series well correlate with the long‐term accumulation of climatic water balance, but the connections became weak in the 2010–2015 period. (3) Groundwater withdrawals have been controlled according to the Water Resources Bulletin, but the stress may be partly shifted to surface water; the increasing trend of ecological and industrial surface water use is significant, following the agriculture water use. (4) For the entire YRB, groundwater use accounts for the majority of feature importance in modeling TWSA time series, and the contribution of climate factors is the least. Agricultural water use ranks first relative to other sectors for the YRB, followed by the ecological and industrial use. This study provides a first comparison of TWSA between the latest Center for Space Research (CSR) GRACE RL06 solution and the previous RL05 solution in the YRB. The results are expected to present a comprehensive picture of TWS variations in the YRB and the impacts from climate and human factors.
Assessing the Spatial Origin of Meltwater Pulse 1A Using Oxygen‐Isotope Fingerprinting
Authors: Yeung N. K. H. , Menviel L. , Meissner K. J. , Sikes E. 
Published: November 2019

AbstractOne of the major phases of sea level rise during the last deglaciation (∼19–11 thousand years before present [ka BP]) is Meltwater Pulse‐1A (MWP‐1A; ∼14.5 ka BP), when sea levels rose by 8.6 to 18 m in less than 400 years. Whether the meltwater originated from the partial disintegration of northern hemispheric ice sheets, from Antarctica, or both, remains controversial. Here we perform a series of idealized transient simulations of the last deglaciation, focusing on MWP‐1A, with a three‐dimensional oxygen‐isotope enabled Earth System Climate Model. Three meltwater scenarios are considered during MWP‐1A: a sole northern hemispheric source discharging into the North Atlantic, a sole Antarctic source, and a combined northern hemispheric‐Antarctic source. A comparison of simulated changes in the oxygen‐isotope composition (δ18O) of seawater and calcite with published marine sediment records points to a significant contribution from Antarctica. The best model‐data fit is obtained with a contribution from both hemispheres. While the simulated changes over the 350 years of MWP‐1A are overestimated in our simulations, the millennial‐scale changes (∼14.6–13 ka BP) are underestimated, potentially alluding to a longer and sustained meltwater input over the whole period. Meltwater was not applied in the Arctic, the Gulf of Mexico, or the North Pacific in our simulations, and therefore, scenarios with meltwater originating from these regions cannot be excluded.
Examining overlap and homogeneity in ASD, ADHD, and OCD: a data-driven, diagnosis-agnostic approach
Authors: Kushki Azadeh , Anagnostou Evdokia , Hammill Christopher , Duez Pierre , Brian Jessica , Iaboni Alana , Schachar Russell , Crosbie Jennifer , Arnold Paul , Lerch Jason P. 
Published: November 2019

AbstractThe validity of diagnostic labels of autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder (ADHD), and obsessive compulsive disorder (OCD) is an open question given the mounting evidence that these categories may not correspond to conditions with distinct etiologies, biologies, or phenotypes. The objective of this study was to determine the agreement between existing diagnostic labels and groups discovered based on a data-driven, diagnosis-agnostic approach integrating cortical neuroanatomy and core-domain phenotype features. A machine learning pipeline, called bagged-multiview clustering, was designed to discover homogeneous subgroups by integrating cortical thickness data and measures of core-domain phenotypic features of ASD, ADHD, and OCD. This study was conducted using data from the Province of Ontario Neurodevelopmental Disorders (POND) Network, a multi-center study in Ontario, Canada. Participants (n = 226) included children between the ages of 6 and 18 with a diagnosis of ASD (n = 112, median [IQR] age = 11.7[4.8], 21% female), ADHD (n = 58, median [IQR] age = 10.2[3.3], 14% female), or OCD (n = 34, median [IQR] age = 12.1[4.2], 38% female), as well as typically developing controls (n = 22, median [IQR] age = 11.0[3.8], 55% female). The diagnosis-agnostic groups were significantly different than each other in phenotypic characteristics (SCQ: χ2(9) = 111.21, p < 0.0001; SWAN: χ2(9) = 142.44, p < 0.0001) as well as cortical thickness in 75 regions of the brain. The analyses revealed disagreement between existing diagnostic labels and the diagnosis-agnostic homogeneous groups (normalized mutual information < 0.20). Our results did not support the validity of existing diagnostic labels of ASD, ADHD, and OCD as distinct entities with respect to phenotype and cortical morphology.
Loss of ubiquitin-conjugating enzyme E2 (Ubc9) in macrophages exacerbates multiple low-dose streptozotocin-induced diabetes by attenuating M2 macrophage polarization
Authors: Wang Faxi , Sun Fei , Luo Jiahui , Yue Tiantian , Chen Longmin , Zhou Haifeng , Zhang Jing , Yang Chunliang , Luo Xi , Zhou Qing , Zhu He , Li Jinxiu , Yang Ping , Xiong Fei , Yu Qilin , Zhang Huilan , Zhang Wanguang , Xu Aimin , Zhou Zhiguang , Lu Qianjin , Eizirik Decio L. , Zhang Shu , Wang Cong-Yi 
Published: November 2019

AbstractType 1 diabetes (T1D) is characterized by the selective autoimmune destruction of the islet β cells, and macrophages play a significant role in this process. Small ubiquitin-like modification (SUMOylation) is an important posttranslational modification involved in T1D pathogenesis, but its function in macrophages remains unexplored. We presently developed and used macrophage-specific ubiquitin-conjugating enzyme E2 (Ubc9) knockout (LyzM-Cre-Ubc9fl/fl, KO) mice to address the impact of SUMOylation on macrophage function in a T1D model. We observed that blocking Ubc9 in macrophages exacerbated multiple-low dose streptozotocin (MLD-STZ)-induced diabetes. Specifically, after STZ treatment, blood glucose levels were consistently elevated in the KO mice. The KO mice exhibited a higher diabetes incidence than WT controls (85% vs. 55%, P < 0.01) along with a higher insulitis severity. The loss of Ubc9 impaired macrophage energy metabolism and attenuated macrophage M2 program, thereby enhancing T cell activation. Pancreas-resident macrophages, rather than migrant macrophages, played a predominant role in MLD-STZ-induced diabetes. Mechanistically, Ubc9-mediated SUMOylation of interferon regulator factor 4 (IRF4) enhanced its nuclear localization and stability, thereby transcribing IL-4 and arginase 1 (Arg1) to promote the macrophage M2 program. Ubc9-mediated SUMOylation modulates T1D risk at least in part by regulating macrophage function. Modulation of disturbed SUMOylation process in macrophages, either through cell adoptive transfer or targeted drug-delivery, could help to establish a tolerant pancreatic microenvironment and promote inflammation resolution in early insulitis stage, thus hindering T1D progression.
ILF3 is a substrate of SPOP for regulating serine biosynthesis in colorectal cancer
Authors: Li Kai , Wu Jian-lin , Qin Baifu , Fan Zongmin , Tang Qin , Lu Weisi , Zhang Haipeng , Xing Fan , Meng Manqi , Zou Shaomin , Wei Wenxia , Chen Honglei , Cai Jian , Wang Huaiming , Zhang Hui , Cai Jiayue , Fang Ling , Bian Xiqing , Chen Chuangqi , Lan Ping , Ghesquière Bart , Fang Lekun , Lee Mong-Hong 
Published: November 2019

AbstractThe Serine–Glycine–One-Carbon (SGOC) pathway is pivotal in multiple anabolic processes. Expression levels of SGOC genes are deregulated under tumorigenic conditions, suggesting participation of oncogenes in deregulating the SGOC biosynthetic pathway. However, the underlying mechanism remains elusive. Here, we identified that Interleukin enhancer-binding factor 3 (ILF3) is overexpressed in primary CRC patient specimens and correlates with poor prognosis. ILF3 is critical in regulating the SGOC pathway by directly regulating the mRNA stability of SGOC genes, thereby increasing SGOC genes expression and facilitating tumor growth. Mechanistic studies showed that the EGF–MEK–ERK pathway mediates ILF3 phosphorylation, which hinders E3 ligase speckle-type POZ protein (SPOP)-mediated poly-ubiquitination and degradation of ILF3. Significantly, combination of SGOC inhibitor and the anti-EGFR monoclonal antibody cetuximab can hinder the growth of patient-derived xenografts that sustain high ERK-ILF3 levels. Taken together, deregulation of ILF3 via the EGF–ERK signaling plays an important role in systemic serine metabolic reprogramming and confers a predilection toward CRC development. Our findings indicate that clinical evaluation of SGOC inhibitor is warranted for CRC patients with ILF3 overexpression.
An MPER antibody neutralizes HIV-1 using germline features shared among donors
Authors: Zhang Lei , Irimia Adriana , He Lingling , Landais Elise , Rantalainen Kimmo , Leaman Daniel P. , Vollbrecht Thomas , Stano Armando , Sands Daniel I. , Kim Arthur S. ,   IAVI Protocol G Investigators, Miiro George , Serwanga Jennifer , Pozniak Anton , McPhee Dale , Manigart Oliver , Mwananyanda Lawrence , Karita Etienne , Inwoley André , Jaoko Walter , DeHovitz Jack , Bekker Linda-Gail , Pitisuttithum Punnee , Paris Robert , Allen Susan , Poignard Pascal , Burton Dennis R. , Murrell Ben , Ward Andrew B. , Zhu Jiang , Wilson Ian A. , Zwick Michael B. 
Published: November 2019

AbstractThe membrane-proximal external region (MPER) of HIV-1 envelope glycoprotein (Env) can be targeted by neutralizing antibodies of exceptional breadth. MPER antibodies usually have long, hydrophobic CDRH3s, lack activity as inferred germline precursors, are often from the minor IgG3 subclass, and some are polyreactive, such as 4E10. Here we describe an MPER broadly neutralizing antibody from the major IgG1 subclass, PGZL1, which shares germline V/D-region genes with 4E10, has a shorter CDRH3, and is less polyreactive. A recombinant sublineage variant pan-neutralizes a 130-isolate panel at 1.4 μg/ml (IC50). Notably, a germline revertant with mature CDR3s neutralizes 12% of viruses and still binds MPER after DJ reversion. Crystal structures of lipid-bound PGZL1 variants and cryo-EM reconstruction of an Env-PGZL1 complex reveal how these antibodies recognize MPER and viral membrane. Discovery of common genetic and structural elements among MPER antibodies from different patients suggests that such antibodies could be elicited using carefully designed immunogens.
Extravascular gelation shrinkage-derived internal stress enables tumor starvation therapy with suppressed metastasis and recurrence
Authors: Zhang Kun , Fang Yan , He Yaping , Yin Haohao , Guan Xin , Pu Yinying , Zhou Bangguo , Yue Wenwen , Ren Weiwei , Du Dou , Li Hongyan , Liu Chang , Sun Liping , Chen Yu , Xu Huixiong 
Published: November 2019

AbstractDespite the efficacy of current starvation therapies, they are often associated with some intrinsic drawbacks such as poor persistence, facile tumor metastasis and recurrence. Herein, we establish an extravascular gelation shrinkage-derived internal stress strategy for squeezing and narrowing blood vessels, occluding blood & nutrition supply, reducing vascular density, inducing hypoxia and apoptosis and eventually realizing starvation therapy of malignancies. To this end, a biocompatible composite hydrogel consisting of gold nanorods (GNRs) and thermal-sensitive hydrogel mixture was engineered, wherein GRNs can strengthen the structural property of hydrogel mixture and enable robust gelation shrinkage-induced internal stresses. Systematic experiments demonstrate that this starvation therapy can suppress the growths of PANC-1 pancreatic cancer and 4T1 breast cancer. More significantly, this starvation strategy can suppress tumor metastasis and tumor recurrence via reducing vascular density and blood supply and occluding tumor migration passages, which thus provides a promising avenue to comprehensive cancer therapy.
All-small-molecule organic solar cells with over 14% efficiency by optimizing hierarchical morphologies
Authors: Zhou Ruimin , Jiang Zhaoyan , Yang Chen , Yu Jianwei , Feng Jirui , Adil Muhammad Abdullah , Deng Dan , Zou Wenjun , Zhang Jianqi , Lu Kun , Ma Wei , Gao Feng , Wei Zhixiang 
Published: November 2019

AbstractThe high efficiency all-small-molecule organic solar cells (OSCs) normally require optimized morphology in their bulk heterojunction active layers. Herein, a small-molecule donor is designed and synthesized, and single-crystal structural analyses reveal its explicit molecular planarity and compact intermolecular packing. A promising narrow bandgap small-molecule with absorption edge of more than 930 nm along with our home-designed small molecule is selected as electron acceptors. To the best of our knowledge, the binary all-small-molecule OSCs achieve the highest efficiency of 14.34% by optimizing their hierarchical morphologies, in which the donor or acceptor rich domains with size up to ca. 70 nm, and the donor crystals of tens of nanometers, together with the donor-acceptor blending, are proved coexisting in the hierarchical large domain. All-small-molecule photovoltaic system shows its promising for high performance OSCs, and our study is likely to lead to insights in relations between bulk heterojunction structure and photovoltaic performance.
Enantioselective cyanation via radical-mediated C–C single bond cleavage for synthesis of chiral dinitriles
Authors: Wang Tao , Wang Yi-Ning , Wang Rui , Zhang Bo-Chao , Yang Chi , Li Yan-Lin , Wang Xi-Sheng 
Published: November 2019

AbstractRing-opening reaction via selective cleavage of C–C bond is known as a powerful strategy for construction of complex molecules. Complementary to the ionic process focusing on mostly small ring systems, radical-mediated C–C bond cleavage offers a solution for further diverse enantioselective functionalization benefited from its mild conditions, whereas such asymmetric transformations are still limited to three-membered rings so far. Herein, we describe radical-mediated ring-opening and enantioselective cyanation of four- and five-membered cycloketone oxime esters to access chiral 1,5- and 1,6-dinitriles. Employment of dual photoredox/copper catalysis is essential for the asymmetric ring-opening cyanation of cyclopentanone oxime esters. Both reactions proceed under mild conditions giving chiral dinitriles in high yields and enantioselectivity with low catalyst loading and broad substrate scope. The products dinitriles can be converted to valuable optically active diamides and diamines. Mechanistic studies indicate that the benzylic radical generated via C–C single bond cleavage is involved in the catalytic cycle.
The Scales Project, a cross-national dataset on the interpretation of thermal perception scales
Authors: Schweiker Marcel , Abdul-Zahra Amar , André Maíra , Al-Atrash Farah , Al-Khatri Hanan , Alprianti Rea Risky , Alsaad Hayder , Amin Rucha , Ampatzi Eleni , Arsano Alpha Yacob , Azadeh Montazami , Azar Elie , Bahareh Bannazadeh , Batagarawa Amina , Becker Susanne , Buonocore Carolina , Cao Bin , Choi Joon-Ho , Chun Chungyoon , Daanen Hein , Damiati Siti Aisyah , Daniel Lyrian , Vecchi Renata De , Dhaka Shivraj , Domínguez-Amarillo Samuel , Dudkiewicz Edyta , Edappilly Lakshmi Prabha , Fernández-Agüera Jesica , Folkerts Mireille , Frijns Arjan , Gaona Gabriel , Garg Vishal , Gauthier Stephanie , Jabbari Shahla Ghaffari , Harimi Djamila , Hellwig Runa T. , Huebner Gesche M. , Jin Quan , Jowkar Mina , Kania Renate , Kim Jungsoo , King Nelson , Kingma Boris , Koerniawan M. Donny , Kolarik Jakub , Kumar Shailendra , Kwok Alison , Lamberts Roberto , Laska Marta , Lee M. C. Jeffrey , Lee Yoonhee , Lindermayr Vanessa , Mahaki Mohammadbagher , Marcel-Okafor Udochukwu , Marín-Restrepo Laura , Marquardsen Anna , Martellotta Francesco , Mathur Jyotirmay , McGill Gráinne , Mino-Rodriguez Isabel , Mou Di , Moujalled Bassam , Nakajima Mia , Ng Edward , Okafor Marcellinus , Olweny Mark , Ouyang Wanlu , Papst de Abreu Ana Ligia , Pérez-Fargallo Alexis , Rajapaksha Indrika , Ramos Greici , Rashid Saif , Reinhart Christoph F. , Rivera Ma. Isabel , Salmanzadeh Mazyar , Schakib-Ekbatan Karin , Schiavon Stefano , Shooshtarian Salman , Shukuya Masanori , Soebarto Veronica , Suhendri  , Tahsildoost Mohammad , Tartarini Federico , Teli Despoina , Tewari Priyam , Thapa Samar , Trebilcock Maureen , Trojan Jörg , Tukur Ruqayyatu B. , Voelker Conrad , Yam Yeung , Yang Liu , Zapata-Lancaster Gabriela , Zhai Yongchao , Zhu Yingxin , Zomorodian Zahra Sadat 
Published: November 2019

AbstractThermal discomfort is one of the main triggers for occupants’ interactions with components of the built environment such as adjustments of thermostats and/or opening windows and strongly related to the energy use in buildings. Understanding causes for thermal (dis-)comfort is crucial for design and operation of any type of building. The assessment of human thermal perception through rating scales, for example in post-occupancy studies, has been applied for several decades; however, long-existing assumptions related to these rating scales had been questioned by several researchers. The aim of this study was to gain deeper knowledge on contextual influences on the interpretation of thermal perception scales and their verbal anchors by survey participants. A questionnaire was designed and consequently applied in 21 language versions. These surveys were conducted in 57 cities in 30 countries resulting in a dataset containing responses from 8225 participants. The database offers potential for further analysis in the areas of building design and operation, psycho-physical relationships between human perception and the built environment, and linguistic analyses.
Room-level occupant counts and environmental quality from heterogeneous sensing modalities in a smart building
Authors: Schwee Jens Hjort , Johansen Aslak , Jørgensen Bo Nørregaard , Kjærgaard Mikkel Baun , Mattera Claudio Giovanni , Sangogboye Fisayo Caleb , Veje Christian 
Published: November 2019

AbstractThe research areas of occupant sensing and occupant behavior modeling are lacking comprehensive public datasets for providing baseline results and fostering data-driven approaches. This data descriptor covers a dataset collected via sensors on room-level occupant counts together with related data on indoor environmental quality. The dataset comprises 44 full days, collated in the period March 2018 to April 2019, and was collected in a public building in Northern Europe. Sensor readings cover three rooms, including one lecture room and two study zones. The data release contains two versions of the dataset, one which has the raw readings and one which has been upsampled to a one-minute resolution. The dataset can be used for developing and evaluating data-driven applications, occupant sensing, and building analytics. This dataset can be an impetus for the researchers and designers to conduct experiments and pilot studies, hence used for benchmarking.
flEECe, an energy use and occupant behavior dataset for net-zero energy affordable senior residential buildings
Authors: Paige Frederick , Agee Philip , Jazizadeh Farrokh 
Published: November 2019

AbstractThe behaviors of building occupants have continued to perplex scholars for years in our attempts to develop models for energy efficient housing. Building simulations, project delivery approaches, policies, and more have fell short of their optimistic goals due to the complexity of human behavior. As a part of a multiphase longitudinal affordable housing study, this dataset represents energy and occupant behavior attributes for 6 affordable housing units over nine months in Virginia, USA which are not performing to the net-zero energy standard they were designed for. This dataset provides researchers the ability to analyze the following variables: energy performance, occupant behaviors, energy literacy, and ecological perceptions. Energy data is provided at a 1 Hz sampling rate for four circuits: main, hot water heater, dryer, and HVAC. Building specifications, occupancy, weather data, and neighboring building energy use data are provided to add depth to the dataset. This dataset can be used to update building energy use models, predictive maintenance, policy frameworks, construction risk models, economic models, and more.
Applying the Fokker–Planck equation to grating-based x-ray phase and dark-field imaging
Authors: Morgan Kaye S. , Paganin David M. 
Published: November 2019

AbstractX-ray imaging has conventionally relied upon attenuation to provide contrast. In recent years, two complementary modalities have been added; (a) phase contrast, which can capture low-density samples that are difficult to see using attenuation, and (b) dark-field x-ray imaging, which reveals the presence of sub-pixel sample structures. These three modalities can be accessed using a crystal analyser, a grating interferometer or by looking at a directly-resolved grid, grating or speckle pattern. Grating and grid-based methods extract a differential phase signal by measuring how far a feature in the illumination has been shifted transversely due to the presence of a sample. The dark-field signal is extracted by measuring how the visibility of the structured illumination is decreased, typically due to the presence of sub-pixel structures in a sample. The strength of the dark-field signal may depend on the grating period, the pixel size and the set-up distances, and additional dark-field signal contributions may be seen as a result of strong phase effects or other factors. In this paper we show that the finite-difference form of the Fokker–Planck equation can be applied to describe the drift (phase signal) and diffusion (dark-field signal) of the periodic or structured illumination used in phase contrast x-ray imaging with gratings, in order to better understand any cross-talk between attenuation, phase and dark-field x-ray signals. In future work, this mathematical description could be used as a basis for new approaches to the inverse problem of recovering both phase and dark-field information.