bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investor sentiment‐styled index in index futures market
Authors: Li Weiping , Liu Wenwen 
Published: April 2020

AbstractIn this paper, we define and analyze the sentiment‐styled index for the CSI 300 index futures in the Chinese futures market. Our sentiment‐styled index for the CSI 300 index futures from April 16, 2010 to April 30, 2019 is constructed by the first and second principal component analyses, rather than only by the first principal component analysis used in the Baker and Wurgler (Journal of Finance 61(4): 1645–1680, 2006) method. The sentiment‐styled index explains 78.38% of the sample variance. The vector error correction model is adapted to study the dynamics of cointegration of the sentiment‐styled index and the logarithmic futures price. We use the GARCH‐DCC model to illustrate the spillover effect between the sentiment‐styled index and the Chinese futures market. We show that this investor sentiment‐styled index does have the price discovery from the Granger causality and common factor weights and the hedging function from the Baba–Engle–Kraft–Kroner model empirically; furthermore, we use the curvature term of the sentiment‐styled index to determine the multiple unit roots. More empirical results for the sentiment‐styled index of the Chinese stock market, the sentiment‐styled index of the CSI 300 index futures, and the return of the CSI 300 index futures market are studied in this paper.
Fluorescent Polyaniline Nanoclips (PANCs): A Highly Sensitive and Selective Chemical Sensor for the Detection of Hg (II) Ions in Aqueous Media
Authors: Marieeswaran Muppidathi , Panneerselvam Perumal 
Published: April 2020

AbstractNovel fluorescent biosensor constructed by polyaniline nanoclips (PANCs) embedded with FAM‐ssDNA for precise detection of mercury ions (Hg2+). The PANCs was adapted to fabricate by an oxidative template method and characterized via various analytical techniques, namely scanning Electron Microscope (SEM), powder X‐ray Diffraction (XRD), Fourier transform infrared (FT‐IR), circular dichroism (CD spectra) and fluorescence spectroscopy. Based on the strong adsorption property of PANCs was despite a strong quenching of FAM‐ssDNA fluorescence. Furthermore, FAM‐ssDNA was a strong surface absorption on the surface of polyaniline nanoclips through non‐covalent interaction. The fluorescence intensity decreased denotes the electrons transfer from the nitrogen in polyaniline nanoclips to fluorophore of ssDNA as well as may be photo‐induced electron transfer (PET). Meanwhile, the addition of mercury ion into a detection probe, which increases the fluorescence intensity due to the desorption. However, the strong binding ability between mercury ion and thymine of FAM‐ss DNA leads to form T‐Hg2+‐T duplex mismatch. These results indicate the significant fluorescence intensity was improved and the Hg2+ sensor was developed. Interestingly, the sensing probe reached the detection limit at 4 nM with rapid response and showed high selectivity towards mercury ions compared to other metal ions. Furthermore, the polyaniline nanoclips were potentially applied for the real samples.
Investigating the mix of strategic choices and performance of transaction platforms: Evidence from the crowdfunding setting
Authors: Dushnitsky Gary , Piva Evila , Rossi‐Lamastra Cristina 
Published: April 2020

AbstractResearch SummaryThe platform literature offers keen insights on the pricing and non‐pricing strategies that transaction platforms undertake. We supplement this work by studying how platforms mix together their strategic choices and the association with platforms’ performance. To that end, we focus on crowdfunding platforms; a prominent setting of transaction platforms. We present an inductive large‐N study of the population of 788 crowdfunding platforms that operated in EU‐15 countries up to 2018. Our contribution is threefold: (a) identifying common mixes of strategic choices; (b) tracking deviations from these mixes; and (c) associating these with platforms’ survival and growth. We discuss our findings and how they advance knowledge at the intersection of the platform and strategic management literatures.Managerial SummaryNotable transaction‐platforms such as eBay, LinkedIn, and Tencent have an aggregate market‐value in the hundreds of billions of dollars. We know that platforms’ success is driven by the strategic choices they undertake. Yet, we know less about how they mix together these choices and the association with platforms’ performance. Our study addresses this gap by focusing on a prominent setting: crowdfunding. Using data on the population of 788 crowdfunding platforms in EU‐15 countries, we show that these platforms cluster around three common mixes of strategic choices. Moreover, crowdfunding platforms do not strictly adhere to the strategy mix they are affiliated with. Interestingly, there is a positive association between the degree to which a platform's choices differentiate from its strategy mix and platform's subsequent performance.
A vision system for canning with fish sensing using rule‐based matching and segmentation
Authors: Zhang Yi , You Mengbo , Miyoshi Tasuku , Akashi Takuya 
Published: April 2020

AbstractWe develop a machine vision system as a key component of a robot‐assisted packaging system, which can guide the robot arms to pack the roast sauries into cans. For gripping strategy generation, the system is required not only to be able to detect the roast saury area but also estimate the geometric parameters. Besides, according to different canning requirements, it is also necessary to distinguish the type of fish parts. Facing these challenges, we propose a novel rule‐based matching method combined with an improved efficient graph‐based image segmentation (EGIS) method for sensing the fish part. Specifically, the matching method applies our originally designed rule‐based similarity under a genetic algorithm framework combined with deterministic crowding technique, which is used to sensing one type of fish parts. On the other hand, we improve the EGIS by introducing a shape restriction to deal with leftover fish parts. The experiments are implemented for two different types of fish part in the real factory environment. The result of our method achieved a mean location accuracy of 93.5% with a practical average processing time of 2.6 s per image. © 2020 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
Simulation and prediction of electrooxidation removal of ammonia and its application in industrial wastewater effluent
Authors: Ding Jing , Gao Qingwei , Wang Yuhan , Zhao Guanshu , Wang Kun , Jiang Junqiu , Li Junjing , Zhao Qingliang 
Published: April 2020

AbstractA FLUENT software able to predict and assess the electrooxidation of ammonia from the simulation of ammonia concentration and flow field distribution was developed in this study. The flow field‐based models of ammonia removal were simulated and modified through the experimental results. The parameter of reaction constant k is corrected to 0.00195, and the modified model fitted well with experimental values, with the error less than 4%. The electrode depth of 4 cm was assessed to be optimal for ammonia removal based on the comparison of the simulation results on ammonia concentration and flow field distribution. The prediction result applied in the industrial wastewater treatment indicated that complete could be achieved at 0.27 Ah/L, and about 50% of total nitrogen was removed at 0.8 Ah/L. About 7% of chloride ions were converted into inorganic by‐products, indicating low biological toxicity and risk on environment. The energy consumption increased with the promotion of removal efficiency of total nitrogen, requiring 5.4 kWh/m3 to remove 50% total nitrogen at 0.8 Ah/L. The results show the practicability and feasibility of this FLUENT software tool on the simulation and prediction of electrooxidation process, which can provide the simulation parameter settings for the subsequent application.Practitioner points

A FLUENT software based on the simulation of ammonia concentration and flow field distribution was able to predict and assess ammonia electrooxidation.

A modified model is provided with a rate constant k of 0.00195 and the distinction of 4% with experimental results.

The optimal electrode depth was predicted to be 4 cm via the obtained model.

Complete ammonia and about 50% of total nitrogen could be at 0.27 Ah/L and 0.8 Ah/L, receptively.

About 7% of chloride ions were converted into inorganic by‐products in industrial wastewater with high chloride.
Regulating cellular cyclic adenosine monophosphate: “Sources,” “sinks,” and now, “tunable valves”
Authors: Getz Michael , Rangamani Padmini , Ghosh Pradipta 
Published: April 2020

AbstractA number of hormones and growth factors stimulate target cells via the second messenger pathways, which in turn regulate cellular phenotypes. Cyclic adenosine monophosphate (cAMP) is a ubiquitous second messenger that facilitates numerous signal transduction pathways; its production in cells is tightly balanced by ligand‐stimulated receptors that activate adenylate cyclases (ACs), that is, “source” and by phosphodiesterases (PDEs) that hydrolyze it, that is, “sinks.” Because it regulates various cellular functions, including cell growth and differentiation, gene transcription and protein expression, the cAMP signaling pathway has been exploited for the treatment of numerous human diseases. Reduction in cAMP is achieved by blocking “sources”; however, elevation in cAMP is achieved by either stimulating “source” or blocking “sinks.” Here we discuss an alternative paradigm for the regulation of cellular cAMP via GIV/Girdin, the prototypical member of a family of modulators of trimeric GTPases, Guanine nucleotide Exchange Modulators (GEMs). Cells upregulate or downregulate cellular levels of GIV‐GEM, which modulates cellular cAMP via spatiotemporal mechanisms distinct from the two most often targeted classes of cAMP modulators, “sources” and “sinks.” A network‐based compartmental model for the paradigm of GEM‐facilitated cAMP signaling has recently revealed that GEMs such as GIV serve much like a “tunable valve” that cells may employ to finetune cellular levels of cAMP. Because dysregulated signaling via GIV and other GEMs has been implicated in multiple disease states, GEMs constitute a hitherto untapped class of targets that could be exploited for modulating aberrant cAMP signaling in disease states.This article is categorized under:
Models of Systems Properties and Processes > Mechanistic Models
Biological Mechanisms > Cell Signaling
Education Truly Matters: Key Lessons from Mexico’s Educational Reform for Educating the Whole Child
Authors: Bonilla-Rius Elisa 
Published: April 2020

AbstractMexico’s 2012–2018 federal administration launched an extensive educational reform whose main goal was to transform its large and complex education system, so as to prepare students to successfully face twenty first century challenges. The assumption being that, by providing them with the tools they need to succeed in this rapidly changing world, Mexico will in turn become prosperous, fair and free. It entailed rethinking the conceptualization and structure of the system, and involved profound transformations in its organizational, budgetary, technical, pedagogical and administrative spheres, with quality and equity as guiding principles. Two disruptive innovations –which steered the process– stand out: teachers’ appraisals and the new national curriculum. About this curriculum, three, of several salient features, discussed in this chapter, are: its learning outcomes’ structure, which effectively articulate twelve of the fifteen grades of compulsory education; the introduction, from PreK to12th grade, of socioemotional learning; and curricular autonomy as a means to achieving pedagogical innovations in schools. Unfortunately, this reform defied deeply rooted uses and habits of various stakeholders and treaded on many political interests, which resulted in a convoluted process that has threatened its consolidation. The new president campaigned against the reform. It is still uncertain what policies would continue.
Peru: A Wholesale Reform Fueled by an Obsession with Learning and Equity
Authors: Saavedra Jaime , Gutierrez Marcela 
Published: April 2020

AbstractAfter decades of expansion, the Peruvian education system had relatively high levels of access, but low and heterogeneous quality. The depth of the learning crisis was seen in 2013, when Peru ranked last in PISA. The country responded by implementing an ambitious reform which built on previous efforts, which is described in detail in this chapter. The reform was composed of four pillars: (i) Revalorize teachers’ career by making selection and promotion meritocratic, attracting the best into the profession, and supporting teacher professional development through school-based coaching; (ii) Improve the quality of learning for all by revising the curriculum, expanding early childhood education and full-day schooling, providing direct support to schools (through lesson plans and school grants) and carrying out several deep institutional reforms to the university system; (iii) Effective management of the school and the education system, including the use of learning assessment data for school planning. This entailed increasing school autonomy, introducing meritocracy in the selection of principals, and creating a culture of evidence-based decision making; and (iv) Close the infrastructure gap. The reform process required strong political and financial commitment and resulted in impressive improvements in student learning. Most importantly, it led to a change in mindsets towards a focus on learning.
Cryptography Core Technology
Authors: Cheng Chen-Mou , Kodera Kenta , Miyaji Atsuko , Okumura Shinya 
Published: April 2020

AbstractIn this chapter, we describe the analysis of security basis. One is the analysis of elliptic curve discrete logarithm problem (ECDLP). ECDLP is one of the public-key cryptosystems that can achieve a short key size but it is not a post-quantum cryptosystem. Another is analysis to learning with error (LWE), which is a post-quantum cryptosystem and has the functionality of homomorphic encryption. These two security bases have important roles in each protocol described in Sect. 2.2.4.2
Secure Data Management Technology
Authors: Mimoto Tomoaki , Kiyomoto Shinsaku , Miyaji Atsuko 
Published: April 2020

AbstractIn this chapter, we introduce data anonymization techniques for several types of datasets. Data anonymity of anonymized datasets is an index for estimating the (maximum) reidentification risk from anonymized datasets and is generally defined as a quantitative index based on adversary models. The adversary models are implicitly defined according to the attributes in the datasets, use cases, and anonymization techniques. We first review existing anonymization techniques and the adversary models behind the data anonymity definitions for anonymization techniques; then, we propose a common anonymity definition and its adversary model, which is applicable to several types of anonymization techniques. Furthermore, some extensions of the definition, which is optimized for specific types of datasets, are presented in the chapter.
Melanoma-associated fibroblasts impair CD8+ T cell function and modify expression of immune checkpoint regulators via increased arginase activity
Authors: Érsek Barbara , Silló Pálma , Cakir Ugur , Molnár Viktor , Bencsik András , Mayer Balázs , Mezey Eva , Kárpáti Sarolta , Pós Zoltán , Németh Krisztián 
Published: April 2020

AbstractAbstractThis study shows that melanoma-associated fibroblasts (MAFs) suppress cytotoxic T lymphocyte (CTL) activity and reveals a pivotal role played by arginase in this phenomenon. MAFs and normal dermal fibroblasts (DFs) were isolated from surgically resected melanomas and identified as Melan-A-/gp100-/FAP+ cells. CTLs of healthy blood donors were activated in the presence of MAF- and DF-conditioned media (CM). Markers of successful CTL activation, cytotoxic degranulation, killing activity and immune checkpoint regulation were evaluated by flow cytometry, ELISPOT, and redirected killing assays. Soluble mediators responsible for MAF-mediated effects were identified by ELISA, flow cytometry, inhibitor assays, and knock-in experiments. In the presence of MAF-CM, activated/non-naïve CTLs displayed dysregulated ERK1/2 and NF-κB signaling, impeded CD69 and granzyme B production, impaired killing activity, and upregulated expression of the negative immune checkpoint receptors TIGIT and BTLA. Compared to DFs, MAFs displayed increased amounts of VISTA and HVEM, a known ligand of BTLA on T cells, increasedl-arginase activity and CXCL12 release. Transgenic arginase over-expression further increased, while selective arginase inhibition neutralized MAF-induced TIGIT and BTLA expression on CTLs. Our data indicate that MAF interfere with intracellular CTL signaling via soluble mediators leading to CTL anergy and modify immune checkpoint receptor availability vial-arginine depletion.Graphic abstract
Translational genomics for achieving higher genetic gains in groundnut
Authors: Pandey Manish K. , Pandey Arun K. , Kumar Rakesh , Nwosu Chogozie Victor , Guo Baozhu , Wright Graeme C. , Bhat Ramesh S. , Chen Xiaoping , Bera Sandip K. , Yuan Mei , Jiang Huifang , Faye Issa , Radhakrishnan Thankappan , Wang Xingjun , Liang Xuanquiang , Liao Boshou , Zhang Xinyou , Varshney Rajeev K. , Zhuang Weijian 
Published: April 2020

Abstract
Key message
Groundnut has entered now in post-genome era enriched with optimum genomic and genetic resources to facilitate faster trait dissection, gene discovery and accelerated genetic improvement for developing climate-smart varieties.

Abstract
Cultivated groundnut or peanut (Arachis hypogaea), an allopolyploid oilseed crop with a large and complex genome, is one of the most nutritious food. This crop is grown in more than 100 countries, and the low productivity has remained the biggest challenge in the semiarid tropics. Recently, the groundnut research community has witnessed fast progress and achieved several key milestones in genomics research including genome sequence assemblies of wild diploid progenitors, wild tetraploid and both the subspecies of cultivated tetraploids, resequencing of diverse germplasm lines, genome-wide transcriptome atlas and cost-effective high and low-density genotyping assays. These genomic resources have enabled high-resolution trait mapping by using germplasm diversity panels and multi-parent genetic populations leading to precise gene discovery and diagnostic marker development. Furthermore, development and deployment of diagnostic markers have facilitated screening early generation populations as well as marker-assisted backcrossing breeding leading to development and commercialization of some molecular breeding products in groundnut. Several new genomics applications/technologies such as genomic selection, speed breeding, mid-density genotyping assay and genome editing are in pipeline. The integration of these new technologies hold great promise for developing climate-smart, high yielding and more nutritious groundnut varieties in the post-genome era.
Alternaria toxins as casein kinase 2 inhibitors and possible consequences for estrogenicity: a hybrid in silico/in vitro study
Authors: Aichinger Georg , Dellafiora Luca , Pantazi Foteini , Del Favero Giorgia , Galaverna Gianni , Dall’Asta Chiara , Marko Doris 
Published: April 2020

AbstractEmerging mycotoxins produced by Alternaria spp. were previously reported to exert cytotoxic, genotoxic, but also estrogenic effects in human cells. The involved mechanisms are very complex and not fully elucidated yet. Thus, we followed an in silico target fishing approach to extend knowledge on the possible biological targets underlying the activity of alternariol, taken as the signature compound of Alternaria toxins. Combining ligand-based screening and structure-based modeling, the ubiquitous casein kinase 2 (CK2) was identified as a potential target for the compound. This result was validated in a cell-free in vitro CK2 activity assay, where alternariol inhibited CK2 with an IC50 of 707 nM. As CK2 was recently discussed to influence estrogen receptor (ER) transcription and DNA-binding affinity, we assessed a potential impact on the mRNA levels of ERα or ERβ by qRT-PCR and on nuclear localization of the receptors by confocal microscopy, using estrogen-sensitive Ishikawa cells as a model. While AOH did not affect the transcription of ERα or ERβ, an increase in nuclear localization of ERα after incubation with 10 µM AOH was observed. However, this effect might be due to ER binding affinity and therefore estrogenicity of AOH. Furthermore, in silico docking simulation revealed not only AOH, but also a number of other Alternaria toxins as potential inhibitors of CK2, including alternariol monomethyl ether and the perylene quinone derivative altertoxin II (ATX-II). These findings were representatively confirmed in vitro for the perylene quinone derivative altertoxin II, which was found to inhibit the kinase with an IC50 of 5.1 µM. Taken together, we propose CK2 inhibition as an additional mechanism to consider in future studies for alternariol and several other Alternaria toxins.
A note on Dekker’s FastTwoSum algorithm
Authors: Lange Marko , Oishi Shin’ichi 
Published: April 2020

AbstractMore than 45 years ago, Dekker proved that it is possible to evaluate the exact error of a floating-point sum with only two additional floating-point operations, provided certain conditions are met. Today the respective algorithm for transforming a sum into its floating-point approximation and the corresponding error is widely referred to as$${{\,\mathrm{FastTwoSum}\,}}$$FastTwoSum. Besides some assumptions on the floating-point system itself—all of which are satisfied by any binaryIEEE $$754$$754standard conform arithmetic, the main practical limitation of$${{\,\mathrm{FastTwoSum}\,}}$$FastTwoSumis that the summands have to be ordered according to their exponents. In most preceding applications of$${{\,\mathrm{FastTwoSum}\,}}$$FastTwoSum, however, a more stringent condition is used, namely that the summands have to be sorted according to their absolute value. In remembrance of Dekker’s work, this note reminds the original assumptions for an error-free transformation via$${{\,\mathrm{FastTwoSum}\,}}$$FastTwoSum. Moreover, we generalize the conditions for arbitrary bases and discuss a possible modification of the$${{\,\mathrm{FastTwoSum}\,}}$$FastTwoSumalgorithm to extend its applicability even further. Subsequently, a range of programs exploiting the wider applicability is presented. This comprises theOnlineExactSumalgorithm by Zhu and Hayes, an error-free transformation from a product of three floating-point numbers to a sum of the same number of addends, and an algorithm for accurate summation proposed by Demmel and Hida.