bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interactive Curation of Datasets for Training and Refining Generative Models
Authors: Ye Wenjie , Dong Yue , Peers Pieter 
Published: November 2019

AbstractWe present a novel interactive learning‐based method for curating datasets using user‐defined criteria for training and refining Generative Adversarial Networks. We employ a novel batch‐mode active learning strategy to progressively select small batches of candidate exemplars for which the user is asked to indicate whether they match the, possibly subjective, selection criteria. After each batch, a classifier that models the user's intent is refined and subsequently used to select the next batch of candidates. After the selection process ends, the final classifier, trained with limited but adaptively selected training data, is used to sift through the large collection of input exemplars to extract a sufficiently large subset for training or refining the generative model that matches the user's selection criteria. A key distinguishing feature of our system is that we do not assume that the user can always make a firm binary decision (i.e., “meets” or “does not meet” the selection criteria) for each candidate exemplar, and we allow the user to label an exemplar as “undecided”. We rely on a non‐binary query‐by‐committee strategy to distinguish between the user's uncertainty and the trained classifier's uncertainty, and develop a novel disagreement distance metric to encourage a diverse candidate set. In addition, a number of optimization strategies are employed to achieve an interactive experience. We demonstrate our interactive curation system on several applications related to training or refining generative models: training a Generative Adversarial Network that meets a user‐defined criteria, adjusting the output distribution of an existing generative model, and removing unwanted samples from a generative model.
A Stationary SVBRDF Material Modeling Method Based on Discrete Microsurface
Authors: Zhu Junqiu , Xu Yanning , Wang Lu 
Published: November 2019

AbstractMicrofacet theory is commonly used to build reflectance models for surfaces. While traditional microfacet‐based models assume that the distribution of a surface's microstructure is continuous, recent studies indicate that some surfaces with tiny, discrete and stochastic facets exhibit glittering visual effects, while some surfaces with structured features exhibit anisotropic specular reflection. Accordingly, this paper proposes an efficient and stationary method of surface material modeling to process both glittery and non‐glittery surfaces in a consistent way. Our method comprises two steps: in the preprocessing step, we take a fixed‐size sample normal map as input, then organize 4D microfacet trees in position and normal space for arbitrary‐sized surfaces; we also cluster microfacets into 4D K‐lobes via the adaptive k‐means method. In the rendering step, moreover, surface normals can be efficiently evaluated using pre‐clustered microfacets. Our method is able to efficiently render any structured, discrete and continuous micro‐surfaces using a precisely reconstructed surface NDF. Our method is both faster and uses less memory compared to the state‐of‐the‐art glittery surface modeling works.
RodSteward: A Design‐to‐Assembly System for Fabrication using 3D‐Printed Joints and Precision‐Cut Rods
Authors: Jacobson Alec 
Published: November 2019

AbstractWe present RodSteward, a design‐to‐assembly system for creating furniture‐scale structures composed of 3D‐printed joints and precision‐cut rods. The RodSteward systems consists of: RSDesigner, a fabrication‐aware design interface that visualizes accurate geometries during edits and identifies infeasible designs; physical fabrication of parts automatically generated 3D‐printable joint geometries and cutting plans for rods; and RSAssembler, a guided‐assembly interface that prompts the user to place parts in order while showing a focus+context visualization of the assembly in progress. We demonstrate the effectiveness of our tools with a number of example constructions of varying complexity, style and parameter choices.
Prioritising African perspectives in psychiatric genomics research: Issues of translation and informed consent
Authors: Kamaara Eunice , Kong Camillia , Campbell Megan 
Published: November 2019

AbstractPsychiatric genomics research with African populations comes with a range of practical challenges around translation of psychiatric genomics research concepts, procedures, and nosology. These challenges raise deep ethical issues particularly around legitimacy of informed consent, a core foundation of research ethics. Through a consideration of the constitutive function of language, the paper problematises like‐for‐like, designative translations which often involve the ‘indigenization’ of English terms or use of metaphors which misrepresent the risks and benefits of research. This paper argues that effective translation of psychiatric genomics research terminology in African contexts demands substantive engagement with African conceptual schemas and values. In developing attenuated forms of translational thinking, researchers may recognise the deeper motivational reasons behind participation in research, highlighting the possibility that such reasons may depart from the original meaning implied within informed consent forms. These translational issues might be ameliorated with a critical re‐examination of how researchers develop and present protocols to institutional ethics review boards.
UV reflectance photography of skin: what are you imaging?
Authors: Crowther J. M. 
Published: November 2019

AbstractObjectivePhotography can be a powerful tool for researching the skin. Moving outside the visible spectrum and into the ultra violet (UV) presents a unique set of challenges to the skin photographer because of the restrictions imposed by the equipment being used. This article discusses these challenges in relation to camera sensitivity, lens and filter transmission and lighting spectrum, with the aim of demystifying what is actually being captured when imaging skin.MethodsIn addition to a discussion of existing data on the subject of camera sensor sensitivity, filter transmission and flash spectral analysis, transmission in the UV of a variety of camera lenses using a new method has been carried out.ResultsUsing the described approach, lens transmission between 280 and 420 nm of a range of lenses has been measured. Combining this with camera sensor sensitivity data and filter and light source characteristics, it has been possible to determine an overall, harmonized, spectral sensitivity curve for what is being imaged with a given setup.ConclusionsUV reflectance photography, while a powerful tool, is often misunderstood and misreported as to what is actually being imaged. By combining measurements on camera sensitivity, lens and filter transmission and light source spectra the researcher can more fully understand what is they are actually measuring, thereby enabling better communication with the consumer on what they are seeing and a more complete description for any claims support.
Antimicrobial photodynamic therapy in skin wound healing: A systematic review of animal studies
Authors: Sun Yan , Ogawa Rei , Xiao Bi‐Huan , Feng Yu‐Xin , Wu Yan , Chen Liang‐Hong , Gao Xing‐Hua , Chen Hong‐Duo 
Published: November 2019

AbstractBacterial infection is a common wound complication that can significantly delay healing. Classical local therapies for infected wounds are expensive and are frequently ineffective. One alternative therapy is photodynamic therapy (PDT). We conducted a systematic review to clarify whether PDT is useful for bacteria‐infected wounds in animal models. PubMed and Medline were searched for articles on PDT in infected skin wounds in animals. The language was limited to English. Nineteen articles met the inclusion criteria. The overall study methodological quality was moderate, with a low‐moderate risk of bias. The animal models were mice and rats. The wounds were excisional, burn, and abrasion wounds. Wound size ranged from 6 mm in diameter to 1.5 × 1.5 cm2. Most studies inoculated the wounds with Pseudomonas aeruginosa or methicillin‐resistant Staphylococcus aureus. Eleven and 17 studies showed that the PDT of infected wounds significantly decreased wound size and bacterial counts, respectively. Six, four, and two studies examined the effect of PDT on infected wound‐cytokine levels, wound‐healing time, and body weight, respectively. Most indicated that PDT had beneficial effects on these variables. PDT accelerated bacteria‐infected wound healing in animals by promoting wound closure and killing bacteria.
Pancreatic cancer cell–derived exosomal microRNA‐27a promotes angiogenesis of human microvascular endothelial cells in pancreatic cancer via BTG2
Authors: Shang Dan , Xie Chao , Hu Jin , Tan Jinru , Yuan Yufeng , Liu Zhisu , Yang Zhiyong 
Published: November 2019

AbstractPancreatic cancer (PC) remains a primary cause of cancer‐related deaths worldwide. Existing literature has highlighted the oncogenic role of microRNA‐27a (miR‐27a) in multiple cancers. Hence, the current study aimed to clarify the potential therapeutic role of PC cell–derived exosomal miR‐27a in human microvascular endothelial cell (HMVEC) angiogenesis in PC. Initially, differentially expressed genes (DEGs) and miRs related to PC were identified by microarray analysis. Microarray analysis provided data predicting the interaction between miR‐27a and BTG2 in PC, which was further verified by the elevation or depletion of miR‐27a. Next, the expression of miR‐27a and BTG2 in the PC tissues was quantified. HMVECs were exposed to exosomes derived from PC cell line PANC‐1 to investigate the effects associated with PC cell–derived exosomes carrying miR‐27a on HMVEC proliferation, invasion and angiogenesis. Finally, the effect of miR‐27a on tumorigenesis and microvessel density (MVD) was analysed after xenograft tumour inoculation in nude mice. Our results revealed that miR‐27a was highly expressed, while BTG2 was poorly expressed in both PC tissues and cell lines. miR‐27a targeted BTG2. Moreover, miR‐27a silencing inhibited PC cell proliferation and invasion, and promoted apoptosis through the elevation of BTG2. The in vitro assays revealed that PC cell–derived exosomes carrying miR‐27a stimulated HMVEC proliferation, invasion and angiogenesis, while this effect was reversed in the HMVECs cultured with medium containing GW4869‐treated PANC‐1 cells. Furthermore, in vivo experiment revealed that miR‐27a knockdown suppressed tumorigenesis and MVD. Taken together, cell‐derived exosomes carrying miR‐27a promotes HMVEC angiogenesis via BTG2 in PC.
CBX4 promotes the proliferation and metastasis via regulating BMI‐1 in lung cancer
Authors: Hu Changpeng , Zhang Qian , Tang Qin , Zhou Huyue , Liu Wuyi , Huang Jingbin , Liu Yali , Wang Qin , Zhang Jing , Zhou Min , Sheng Fangfang , Lai Wenjing , Tian Jing , Li Guobing , Zhang Rong 
Published: November 2019

AbstractProliferation and metastasis are significantly malignant characteristics of human lung cancer, but the underlying molecular mechanisms are poorly understood. Chromobox 4 (CBX4), a member of the Polycomb group (PcG) family of epigenetic regulatory factors, enhances cellular proliferation and promotes cancer cell migration. However, the effect of CBX4 in the progression of lung cancer is not fully understood. We found that CBX4 is highly expressed in lung tumours compared with adjacent normal tissues. Overexpression of CBX4 significantly promotes cell proliferation and migration in human lung cancer cell lines. The knockdown of CBX4 obviously suppresses the cell growth and migration of human lung cancer cells in vitro. Also, the proliferation and metastasis in vivo are blocked by CBX4 knockdown. Furthermore, CBX4 knockdown effectively arrests cell cycle at the G0/G1 phase through suppressing the expression of CDK2 and Cyclin E and decreases the formation of filopodia through suppressing MMP2, MMP9 and CXCR4. Additionally, CBX4 promotes proliferation and metastasis via regulating the expression of BMI‐1 which is a significant regulator of proliferation and migration in lung cancer cells. Taken together, these data suggest that CBX4 is not only a novel prognostic marker but also may be a potential therapeutic target in lung cancer.
Down‐regulation of the mitochondrial i‐AAA protease Yme1L induces muscle atrophy via FoxO3a and myostatin activation
Authors: Lee Yoo Jeong , Kim Gyu Hee , Park Sang Ick , Lim Joo Hyun 
Published: November 2019

AbstractMuscle atrophy is closely associated with many diseases, including diabetes and cardiac failure. Growing evidence has shown that mitochondrial dysfunction is related to muscle atrophy; however, the underlying mechanisms are still unclear. To elucidate how mitochondrial dysfunction causes muscle atrophy, we used hindlimb‐immobilized mice. Mitochondrial function is optimized by balancing mitochondrial dynamics, and we observed that this balance shifted towards mitochondrial fission and that MuRF1 and atrogin‐1 expression levels were elevated in these mice. We also found that the expression of yeast mitochondrial escape 1‐like ATPase (Yme1L), a mitochondrial AAA protease was significantly reduced both in hindlimb‐immobilized mice and carbonyl cyanide m‐chlorophenylhydrazone (CCCP)‐treated C2C12 myotubes. When Yme1L was depleted in myotubes, the short form of optic atrophy 1 (Opa1) accumulated, leading to mitochondrial fragmentation. Moreover, a loss of Yme1L, but not of LonP1, activated AMPK and FoxO3a and concomitantly increased MuRF1 in C2C12 myotubes. Intriguingly, the expression of myostatin, a myokine responsible for muscle protein degradation, was significantly increased by the transient knock‐down of Yme1L. Taken together, our results suggest that a deficiency in Yme1L and the consequential imbalance in mitochondrial dynamics result in the activation of FoxO3a and myostatin, which contribute to the pathological state of muscle atrophy.
Long noncoding RNA 91H overexpression contributes to the growth and metastasis of HCC by epigenetically positively regulating IGF2 expression
Authors: Yi Tingzhuang , Wang Tonghua , Shi Ying , Peng Xiaojuan , Tang Shaohui , Zhong Lu , Chen Yanfang , Li Yuting , He Kaiyin , Wang Min , Zhao Hailiang , Li Qing 
Published: November 2019

AbstractBackground & AimsLong noncoding RNA 91H is transcribed from the H19/IGF2 locus and contributes to the development of breast and oesophagus cancers by regulating the expression of IGF2, but the regulation mechanism remains poorly characterized. Here, we explored the role of 91H in hepatocellular carcinoma (HCC) and the mechanism of IGF2 expression regulation by 91H.MethodsFirstly, the expression of 91H was analysed in HCC by quantitative RT‐PCR, the association of 91H with survival was evaluated by the Kaplan‐Meier method and the effect of 91H on the growth and invasion of HCC was investigated by the in vitro and in vivo studies. Then, the association of 91H with the expression of IGF2 was evaluated in HCC tissues, and the effect of 91H on the expression of IGF2 was investigated by 91H knockdown. Finally, the binding of RBBP5 to 91H and the binding of RBBP5, activating H3K4me3 mark and repressive H3K27me3 mark to the P3 and P4 promoters of IGF2 gene were studied by RIP and ChIP respectively.ResultsThe overexpression of 91H was found in HCC and in association with the growth, metastasis and shorter survival time of HCC. The knockdown of 91H down‐regulated the IGF2 expression in HCC, and the mechanism was correlated with the decreased enrichment of RBBP5 and H3K4me3 and increased enrichment of H3K27me3 at the bivalent P3 and P4 promoters.ConclusionsThe overexpression of 91H promotes tumour growth and metastasis, and is associated with a poor prognosis of HCC at least partially by positively regulating the expression of IGF2 through bivalent histone modification changes characterized by H3K4me3 and H3K27me3 at the P3 and P4 promoters.
Negative frequency‐dependent selection maintains coexisting genotypes during fluctuating selection
Authors: Turner Caroline B. , Buskirk Sean W. , Harris Katrina B. , Cooper Vaughn S. 
Published: November 2019

AbstractNatural environments are rarely static; rather selection can fluctuate on timescales ranging from hours to centuries. However, it is unclear how adaptation to fluctuating environments differs from adaptation to constant environments at the genetic level. For bacteria, one key axis of environmental variation is selection for planktonic or biofilm modes of growth. We conducted an evolution experiment with Burkholderia cenocepacia, comparing the evolutionary dynamics of populations evolving under constant selection for either biofilm formation or planktonic growth with populations in which selection fluctuated between the two environments on a weekly basis. Populations evolved in the fluctuating environment shared many of the same genetic targets of selection as those evolved in constant biofilm selection, but were genetically distinct from the constant planktonic populations. In the fluctuating environment, mutations in the biofilm‐regulating genes wspA and rpfR rose to high frequency in all replicate populations. A mutation in wspA first rose rapidly and nearly fixed during the initial biofilm phase but was subsequently displaced by a collection of rpfR mutants upon the shift to the planktonic phase. The wspA and rpfR genotypes coexisted via negative frequency‐dependent selection around an equilibrium frequency that shifted between the environments. The maintenance of coexisting genotypes in the fluctuating environment was unexpected. Under temporally fluctuating environments, coexistence of two genotypes is only predicted under a narrow range of conditions, but the frequency‐dependent interactions we observed provide a mechanism that can increase the likelihood of coexistence in fluctuating environments.
Molecular mapping of quantitative trait loci for grain moisture at harvest and field grain drying rate in maize (Zea mays L.)
Authors: Zhang Jun , Zhang Fengqi , Tang Baojun , Ding Yong , Xia Laikun , Qi Jianshuang , Mu Xinyuan , Gu Limin , Lu Daowen , Chen Yanhui 
Published: November 2019

Maize (Zea mays L.) grain moisture (GM) at harvest is an important trait that affects seed preservation during storage, grain quality and artificial drying costs. To date, most of the work on understanding GM dynamics in maize has focused on the grain filling period, while the period of postmaturity grain drying remains unexplored. The field grain drying rate (FDR) is one of the most important factors in determining GM at harvest. Therefore, understanding the genetic basis of FDR will be useful for obtaining low‐GM varieties. In this study, a single‐cross population (330 F2:3‐generation plants) derived from a cross of two divergent inbred lines was evaluated in two planting environments with a measurement method – Area under the Dry Down Curve (AUDDC). A high‐density genetic linkage map of 2491 single nucleotide polymorphism (SNP) loci covering 2415.56 cM was constructed. Using composite interval mapping, four quantitative trait loci (QTL), q45dGM1‐1, qHTGM2‐2, qAUDDC2‐1 and qAUDDC10‐1, which were detected on chromosomes 1, 2 and 10, were stable across environments and could explain more than 10% of phenotypic variance. These may be the major QTLs, with non‐significant environmental interactions for GM at 45 days, GM at harvest and FDR, respectively. Additionally, several predicted candidate genes for FDR were identified, including several transcription factors, hormone responsive genes, energy‐related and DNA replication‐related genes. These results will provide useful information for our understanding of the genetic basis of FDR, as well as providing tools for marker‐assisted selection in maize breeding.
Information provision as agenda setting: A study of bureaucracy's role in higher education policy
Authors: Bark Tracey 
Published: November 2019

AbstractMany drivers of agenda setting have been considered in political science, yet the bureaucracy has been largely absent from these discussions. This article challenges that tendency by arguing that bureaucracies provide information and analysis to legislatures early in the policy process, which then affects the bills that are introduced and eventually adopted. I further posit that institutional forms condition the information a bureaucracy can provide, leading to the central hypothesis that highly centralized agencies have more concentrated agendas than decentralized institutions and therefore less congruence with and influence on legislative agendas. Based on a large original dataset of bureaucratic information and proposed legislation concerning higher education policy from two states with archetypal institutional forms, I analyze what kinds of information shift the attention of lawmakers to higher education topics of interest within different institutional arrangements. The findings further our understanding of the impact of institutional factors on information processing by legislatures and the role of the bureaucracy in agenda setting.
BK Polyomavirus‐associated nephropathy managed by screening policy in a real‐life setting
Authors: Raupp Fernanda Vianna Vacilotto , Meinerz Gisele , da Silva Cynthia Keitel , Bianco Patrícia Campos d’Almeida , Goldani João Carlos , Pegas Karla Lais , Stolfo Josiane Borges , Garcia Valter Duro , Keitel Elizete 
Published: November 2019

AbstractBackgroundBK polyomavirus‐associated nephropathy (PyVAN) is an important complication after kidney transplantation. Prevalence ranges from 1% to 10%, and graft loss occurs in approximately 50% of the cases. There is no effective treatment, so early viral detection with immunosuppression tapering is the current strategy to prevent PyVAN.AimsTo verify the frequency of PyVAN in a single center and evaluate the response to immunosuppressive adjustments through graft survival analysis.MethodsRetrospective evaluation of a cohort of kidney transplant recipients with biopsy‐proven PyVAN, compared with no‐PyVAN patients regarding clinical aspects, immunosuppression, and graft survival over at least 2 years.ResultsThere were 1404 kidney transplants analyzed in the study period, 58 with biopsy‐proven PyVAN. Cumulative incidence was 4.1%. Median time from transplantation to PyVAN diagnosis was 6 (1‐41) months. PyVAN was associated with recipient male gender (P = .041) and deceased donation (P = .005). Graft survival was inferior for PyVAN compared to no‐PyVAN patients, 81.8% vs 75.2%, P = .019. Thirteen (22.4%) PyVAN patients lost their grafts, nine (15.5%) losses attributed to BKPyV infection. Three patients with BKPyV‐associated graft losses were submitted to a successful second kidney transplant, with no evidence of viral replication during follow‐up.ConclusionPyVAN still is an important cause of kidney graft failure. Even though implementing active vigilance and immunosuppressive adjustment, this real‐life single‐center study demonstrated inferior graft survival in PyVAN patients compared to non‐PyVAN.