bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementation of the Perinatal Death Surveillance and Response guidelines: Lessons from annual health system strengthening interventions in the Rwenzori Sub‐Region, Western Uganda
Authors: Masereka Enos Mirembe , Naturinda Amelia , Tumusiime Alex , Munguiko Clement 
Published: June 2020

AbstractAimTo determine the health facility‐based perinatal mortality rate, its causes and avoidable factors using the perinatal mortality surveillance and response guidelines.DesignThis was an action study conducted in one of the districts in Western Uganda from 1 January–31 December 2019.MethodsA total of 20 perinatal death cases were recruited consecutively. Data were collected using a Ministry of Health Perinatal Death Surveillance and Response (PDSR) questionnaire containing questions on pregnancy, delivery and immediate postnatal care. We used descriptive statistics to describe key data elements.ResultsWe found a health facility‐based perinatal mortality rate of 17.3 deaths per 1,000 live births. Birth asphyxia was the most common cause of perinatal deaths. Seven, three and ten mothers delayed seeking, reaching and receiving appropriate health care, respectively.
Structure of Supramers Formed by the Amphiphile Biotin‐CMG‐DOPE
Authors: Zalygin Anton , Solovyeva Daria , Vaskan Ivan , Henry Stephen , Schaefer Marcel , Volynsky Pavel , Tuzikov Alexander , Korchagina Elena , Ryzhov Ivan , Nizovtsev Alexey , Mochalov Konstantin , Efremov Roman , Shtykova Eleonora , Oleinikov Vladimir , Bovin Nicolai 
Published: June 2020

AbstractInvited for this month's cover is the group of Prof. Nicolai Bovin from the Russian Academy of Sciences. The cover picture shows how a biotin residue initially hidden in a monolayer formed on the surface of a material by biot‐CMG‐DOPE (see top left) is pulled out of the layer by the streptavidin molecule (Str) that has come close to it (see below). This can be considered as a model of certain events (in particular, cis protein‐ligand interactions) occurring on the surface of a living cell when it is necessary to hide the ligand from undesirable interactions, but leave the possibility of its recognition by a high‐affinity protein. The picture is inspired by the legendary Yellow Submarine cartoon. Read the full text of their Full Paper at 10.1002/open.201900276.
Impact of bilayer structures on the surface passivation quality of high‐rate‐sputtered hydrogenated amorphous silicon for silicon heterojunction solar cells
Authors: Bin Mohd Zulkifly Faris Akira , Shiratori Yuta , Nakada Kazuyoshi , Miyajima Shinsuke 
Published: June 2020

AbstractCrystalline silicon surface passivation effect of intrinsic hydrogenated amorphous silicon (i‐a‐Si:H) films deposited by radio‐frequency facing target sputtering (RF‐FTS) using a two‐step deposition technique was investigated. In the two‐step deposition technique, an i‐a‐Si:H layer was deposited at a high sputtering power condition after the deposition of i‐a‐Si:H at a low sputtering power condition. The two‐step deposition technique drastically improved the passivation quality of i‐a‐Si:H compared with a conventional single‐step deposition technique. Only 0.5‐nm‐thick i‐a‐Si:H deposited at a low sputtering power suppresses the initial sputtering damage to the crystalline silicon surface. A high average deposition rate of 14.1 nm/min was also achieved. A non‐textured silicon heterojunction solar cell using an i‐a‐Si:H passivation layer deposited by the two‐step method shows a conversion efficiency of 17.4% (Voc = 0.679 V, Jsc = 35.0 mA/cm2, FF = 0.732).
High‐throughput screen identifies 5‐HT receptor as a modulator of AR and a therapeutic target for prostate cancer
Authors: Itsumi Momoe , Shiota Masaki , Sekino Yohei , Ushijima Miho , Kashiwagi Eiji , Takeuchi Ario , Inokuchi Junichi , Kajioka Shunichi , Uchiumi Takeshi , Eto Masatoshi 
Published: June 2020

AbstractBackgroundEradication of persistent androgen receptor (AR) activity in castration‐resistant prostate cancer may be a promising strategy to overcome castration resistance. We aimed to identify novel compounds that inhibit AR activity and could be potential therapeutic agents for prostate cancer.MethodsA high‐throughput screening system involving cell lines stably expressing AR protein and AR‐responsive luciferase was employed for the 1260 compound library. Molecular and antitumor effects on candidate pathways that interacted with AR signaling were examined in prostate cancer cells expressing AR.ResultsThe high‐throughput screening identified various potential compounds that interfered with AR signaling through known and novel pathways. Among them, a 5‐hydroxytryptamine 5A (5‐HT5A) receptor antagonist suppressed AR activity through protein kinase A signaling, which was confirmed by 5‐HT5A receptor knockdown. Consistently, 5‐HT5A receptor inhibitors showed cytotoxic effects toward prostate cancer cells.ConclusionsTaken together, this study identifies 5‐HT5A receptor as a promising therapeutic target for prostate cancer via its interaction with AR signaling.
Performance of human and server prediction in CAPRI rounds 38‐45
Authors: Duan Rui , Qiu Liming , Xu Xianjin , Ma Zhiwei , Merideth Benjamin Ryan , Shyu Chi‐Ren , Zou Xiaoqin 
Published: June 2020

AbstractCAPRI challenges offer a variety of blind tests for protein‐protein interaction prediction. In CAPRI Rounds 38‐45, we generated a set of putative binding modes for each target with an FFT‐based docking algorithm, and then scored and ranked these binding modes with a proprietary scoring function, ITScorePP. We have also developed a novel web server, Rebipp. The algorithm utilizes information retrieval to identify relevant biological information to significantly reduce the search space for a particular protein. In parallel, we have also constructed a GPU‐based docking server, MDockPP, for protein‐protein complex structure prediction. Here, the performance of our protocol in CAPRI rounds 38‐45 is reported, which include 16 docking and scoring targets. Among them, three targets contain multiple interfaces: Targets 124, 125, and 136 have 2, 4, and 3 interfaces, respectively. In the predictor experiments, we predicted correct binding modes for nine targets, including one high‐accuracy interface, six medium‐accuracy binding modes, and six acceptable‐accuracy binding modes. For the docking server prediction experiments, we predicted correct binding modes for eight targets, including one high‐accuracy, three medium‐accuracy, and five acceptable‐accuracy binding modes.
Exploration of resistance to Phelipanche aegyptiaca in tomato
Authors: Bai Jinrui , Wei Qiang , Shu Jinshuai , Gan Zhongxiang , Li Beijin , Yan Delin , Huang Zejun , Guo Yanmei , Wang Xiaoxuan , Zhang Luxia , Cui Yanan , Lu Xiaoxiao , Lu Jinghua , Pan Chunyang , Hu Junling , Du Yongchen , Liu Lei , Li Junming 
Published: June 2020

AbstractBACKGROUNDCultivated tomatoes are highly susceptible to the destructive parasite Phelipanche aegyptiaca. Wild relatives show the potential resistance for genetic improvement. However, their genetic and molecular mechanisms are still unknown.RESULTSAmong 50 wild tomato accessions were evaluated for resistance to P. aegyptiaca, most of the wild relatives exhibited varying degrees of resistance compared to the cultivars. Solanum pennellii LA0716 performed the most promising and solid resistance with very low infection by the broomrape. The resistance involved in LA0716 was further confirmed by cytological analysis, and explored by employing a permanent introgression line (IL) population. Thirteen putative quantitative trait loci (QTLs) conferring the different resistance traits were identified. They are located on chromosomes 1, 2, 3, 4, 6, 8 and 9. The most attractive QTLs are positioned in IL6‐2 and overlap with IL6‐3. Specially, IL6‐2 showed the highest and most consistent resistance for multiple traits and explained the major phenotypic variation of LA0716. Analysis of candidate genes involved in these regions showed that Beta (Solyc06g074240) and P450 (Solyc06g073570, Solyc06g074180 and Solyc06g074420) genes are substantially related to the strigolactone (SL) pathway. Transcript analysis further demonstrated that both Solyc06g073570 and Solyc06g074180 might play an important role in the reduction of P. aegyptiaca infection.CONCLUSIONGermplasms resistant to P. aegyptiaca were found in wild tomato species. QTLs conferring P. aegyptiaca tolerance in LA0716 were identified. IL6‐2 is identified as a prospective line possessing the major QTLs. The candidate genes would provide the availability to assist the introgression of the resistance in future breeding programmes. © 2020 Society of Chemical Industry
Theoretical Methods for Ultrastrong Light–Matter Interactions
Authors: Le Boité Alexandre 
Published: June 2020

AbstractThis article reviews theoretical methods developed in the last decade to understand cavity quantum electrodynamics in the ultrastrong‐coupling regime, where the strength of the light–matter interaction becomes comparable to the photon frequency. Along with profound modifications of fundamental quantum optical effects giving rise to a rich phenomenology, this regime introduces significant theoretical challenges. One of the most important is the break‐down of the rotating‐wave approximation which neglects all non‐resonant terms in light–matter interaction Hamiltonians. Consequently, a large part of the quantum optical theoretical framework has to be revisited in order to accurately account for all interaction terms in this regime. In this article, a broad overview of the recent progress is given, ranging from analytical estimates of ground‐state properties to proper derivations of master equations and computation of photodetection signals. For each aspect of the theory, the basic principles of the methods are illustrated on paradigmatic models such as quantum Rabi and spin‐boson models. The validity of effective Hamiltonians for the different experimental platforms is discussed in the last part of the article, addressing recent debates on fundamental issues related to gauge invariance in the ultrastrong‐coupling regime.
A Quantum Computer Architecture Based on Silicon Donor Qubits Coupled by Photons
Authors: Yan Xiruo , Asavanant Warit , Kamakari Hirsh , Wu Jingda , Young Jeff F. , Raussendorf Robert 
Published: June 2020

AbstractA comprehensive circuit architecture and a protocol for realizing 3D cluster states through photonic‐measurement‐based donor‐spin‐qubit entanglement and readout are described. The basic building blocks and protocol are chosen to be compatible with a fully integrated photonic circuit implementation, using Se+ as the photonically coupled matter qubit. The basic operational building blocks of this universal quantum computing machine are local measurements and unitaries, plus an entangling measurement of non‐local Pauli operators. By analyzing several sources of error, a theoretical fault‐tolerant threshold value is estimated on the order of 1%. Considering the literature where required components have already been realized in integrated silicon circuits, albeit not all on the same chip, this suggests the threshold is within reach.
Complete occlusion of right pulmonary artery in Behçet disease
Authors: Korogi Yohei , Tanaka Nozomi , Yoshifuji Hajime , Tazaki Junichi , Kubo Takeshi , Tanizawa Kiminobu 
Published: June 2020

Key messageWhen a patient with Behçet disease presents with haemoptysis, pulmonary vascular involvement should be considered.
Development of an automated two pronuclei detection system on time‐lapse embryo images using deep learning techniques
Authors: Fukunaga Noritaka , Sanami Sho , Kitasaka Hiroya , Tsuzuki Yuji , Watanabe Hiroyuki , Kida Yuta , Takeda Seiji , Asada Yoshimasa 
Published: June 2020

AbstractPurposeTo establish an automated pronuclei determination system by analysis using deep learning technology which is able to effectively learn with limited amount of supervised data.MethodsAn algorithm was developed by explicitly incorporating human observation where the outline around pronuclei is being observed in determining the number of pronuclei. Supervised data were selected from the time‐lapse images of 300 pronuclear stage embryos per class (total 900 embryos) clearly classified by embryologists as 0PN, 1PN, and 2PN. One‐hundred embryos per class (a total of 300 embryos) were used for verification data. The verification data were evaluated for the performance of detection in the number of pronuclei by regarding the results consistent with the judgment of the embryologists as correct answers.ResultsThe sensitivity rates of 0PN, 1PN, and 2PN were 99%, 82%, and 99%, respectively, and the overlapping 2PN being difficult to determine by microscopic observation alone could also be appropriately assessed.ConclusionsThis study enabled the establishment of the automated pronuclei determination system with the precision almost equivalent to highly skilled embryologists.
Weighted k‐nearest neighbor based data complexity metrics for imbalanced datasets
Authors: Singh Deepika , Gosain Anjana , Saha Anju 
Published: June 2020

AbstractEmpirical behavior of a classifier depends strongly on the characteristics of the underlying imbalanced dataset; therefore, an analysis of intrinsic data complexity would appear to be vital in order to choose classifiers suitable for particular problems. Data complexity metrics (CMs), a fairly recent proposal, identify dataset features which imply some difficulty for the classification task and identify relationships with classifier accuracy. In this paper, we introduce two CMs for imbalanced datasets, which help in explaining the factors responsible for the deterioration in classifier performance. These metrics are based on the weighted k‐nearest neighbors approach. The experiments are performed in MATLAB software using 48 simulated datasets and 22 real‐world datasets for different choices of neighborhood size k considered as 3, 5, 7, 9, 11. The results help to illustrate the usefulness of the proposed metrics.
Reversible Electrochemical Reaction of a Fluoride Shuttle Battery with a Bismuth(III) Fluoride Electrode and Electrolyte Containing Triphenylboroxine as an Anion Acceptor
Authors: Konishi Hiroaki , Minato Taketoshi , Abe Takeshi , Ogumi Zempachi 
Published: June 2020

AbstractWe previously developed a fluoride shuttle battery containing a bismuth(III) fluoride (BiF3) electrode; however, the battery exhibited several drawbacks including poor cycling performance and low practical capacity. In this research, to obtain a BiF3 electrode with high cycling performance and practical capacity, an electrolyte containing triphenylboroxine as an anion acceptor was used, as previously reported. Moreover, BiF3 was pulverized and adhered with conductive material using a planetary ball mill. The experimental results indicated that adhesion to the conductive material effectively increased the practical capacity of the BiF3 electrode. To increase adhesion of the conductive material with BiF3 particles, the rotation speed of the ball mill was increased. The resulting BiF3 electrode exhibited high practical capacity in the first cycle, which was maintained in the following cycle. X‐ray absorption fine structure analysis results supported the progress of the reversible electrochemical reaction of the BiF3 electrode during the cycling.
Oxidative Cross‐Coupling of Alcohols and Amines Catalyzed by TEMPO under Transition‐Metal‐Free Condition
Authors: Chandrasekaran Revathi , Carlose Elgin , Muthu Ajun E. , Suresh Athira , Chinnusamy Tamilselvi 
Published: June 2020

AbstractThe transition‐metal‐free catalytic system TEMPO (2,2,6,6‐tetramethylpiperidine‐1‐oxyl)/NaOCl promotes an efficient oxidative cross‐coupling of alcohols and amines to imines 4 as well as 1,2,3,4‐tetrahydroquniazolines 6. A wide variety of alcohols and amines were well tolerated in the catalytic condition. This protocol was operationally very simple, efficiently scaled up to 100 mmol with as low as 0.5 mol% of catalyst loading and applied to the synthesis of biologically important diuretic drug molecule thiabutazide 9 in 98% yield. The recyclable TEMPO catalyst was showed similar reactivity. Moreover, it was reused upto five runs without much drop in the activity. The green chemistry metrics of the estabilished method (E‐factor value 17.80, Atom economy 90.7%, Carbon efficiency 98% and Overall efficiency 97.95%) proved to be efficient to the existing methods.
Industry competition and firm conduct: Joint determinants of risk–return relations
Authors: Christensen Michael , Knudsen Thorbjørn , Nash Ulrik W. , Stieglitz Nils 
Published: June 2020

AbstractResearch SummaryIn this study, we offer a novel approach, establishing how firm conduct and competitive interactions among firms jointly provide microfoundations of risk–return relations. Firms influence each other, and the way they reciprocate these influences to cause mutual adjustments is a core feature of industry dynamics. This core feature fundamentally influences risk–return relations. Based on our approach, we develop models that allow us to trace how, at the microlevel, firm conduct in conjunction with competitive interactions generate risk–return relations, and how these are associated with macrolevel measures of industry concentration. That translates into an approach that affords fine‐grained predictions of risk–return relations based on the nature of competition in an industry—for example, Cournot or Bertrand—and observations of the industry's competitive intensity and concentration.Managerial SummaryThe risk‐return trade‐off is of critical importance for strategic management. Yet, the relation between industry conditions and the shape of risk‐return relations is often unclear. We develop a framework that allows managers to understand how industry conditions generate risk‐return relations, and how these can be inferred from macro‐level measures of industry concentration. At the micro‐level, we show that low variation in operational implementation of strategies may, under some conditions, be associated with high variation as well as high means in financial returns. Our primary insight is that the risk‐return trade‐off changes with competitive intensity: Starting from industries with two or three firms, we show that increasing competitive intensity – higher number of firms, higher entry and exit barriers – gives rise to a predictable sequence of risk‐return relations that change over the life‐cycle of industries. Overall, we contribute a framework that allows managers to infer the risk‐return trade‐off for the industry that their business units are located in.
Changes in persistence of performance over time
Authors: Bennett Victor Manuel 
Published: June 2020

AbstractResearch SummaryI revisit a research tradition laying out trends in persistence of performance, to create shared facts to inform theory development. I build on prior work in Strategy by: (a) bringing together two distinct measures of persistence of performance and explaining how they complement each other and help distinguish theories, (b) extending the time series from those prior studies and applying modern statistical improvements to demonstrate new patterns. Specifically, while I find ordinal persistence increased monotonically since the 1980s, autocorrelation of performance was not monotonic and is now approaching lows from the mid‐1990s. These patterns are inconsistent with mechanisms raised in the debate about declining competition. I suggest that these facts can inspire Strategy theory, which would contribute to that debate.Managerial SummaryA central concern of managers is how precarious is their position, or for new ventures, whether they will be able to displace current leading firms. Even within the same year, management writing and the media might claim that it is both: a) a time of faster‐than‐ever turnover, b) or that large firms have become unassailable. This manuscript tracks two measures of performance persistence over time. I find that persistence of rank has increased roughly steadily since the 1980s. How associated are performance measures year‐to‐year was actually at its peak in the mid 1980s, potentially explaining the debate. The final patterns are consistent with top firms separating from followers in performance so much that increasing volatility in their performance does not lead to changes in rank.
Binned scatterplots: A simple tool to make research easier and better
Authors: Starr Evan , Goldfarb Brent 
Published: June 2020

AbstractResearch SummaryWe seek to diffuse a graphical tool—binned scatterplots—which we argue can dramatically improve the quality and speed of research in strategic management. In contrast to the current practice of showing plots of predicted values, binned scatterplots graph the nonparametric relationship between two variables, either unconditionally or conditional on a set of controls, for multiple subgroups. This allows researchers to quickly detect the shape of that relationship, examine outliers, and assess which part of the support may be driving a relationship. We propose that the adoption of binned scatterplots will lead to the identification of new and interesting phenomena, raise the credibility of empirical research, and help create richer theories.Managerial SummaryRegression analysis often assumes linear or quadratic relationship forms between two variables. We seek to diffuse a graphical tool—binned scatterplots—that allow the researcher and reader to evaluate whether such assumptions are maintained throughout the data. For example, binned scatterplots may clarify that a regression relationship is nonlinear, or driven by an exceptional firm or a small set of firms. We propose that using binned scatterplots will improve the transparency and quality of empirical work, as well as aid in the development of new phenomena and enhance theory development.
How incumbents respond to competition from innovative disruptors in the sharing economy—The impact of Airbnb on hotel performance
Authors: Chang Hung‐Hao , Sokol D. Daniel 
Published: June 2020

AbstractResearch SummaryThis article investigates the impacts of Airbnb on hotel demand and the price and nonprice response strategies of incumbent hotels to Airbnb. We constructed a unique dataset of tourist hotels and Airbnb listings before and after the entry of Airbnb in Taiwan. We found that the entry of Airbnb makes the hotel industry more heterogeneous. Low quality hotels compete on price with Airbnb after Airbnb's entry. In contrast, prices and the investment in service quality increase for high quality hotels. These findings suggest that high quality hotels reposition themselves in the higher end of the lodging market as a response strategy to the entry of Airbnb.Managerial SummaryIncumbent hotels can use a number of strategies to respond to Airbnb's entry. Using a unique dataset of Taiwanese data from before and after Airbnb's entry, we found that hotels' responses differ across the value chain. Low quality hotels compete on price with Airbnb after Airbnb's entry. In contrast, prices and the investment in service quality increase for high quality hotels. The increase of investment in service quality allows high quality hotels to reposition themselves in the higher end of the lodging market.