bluuebunny/crossref_metadata_2025_split huggingface dataset:
Temporal‐aware and sparsity‐tolerant hybrid collaborative recommendation method with privacy preservation
Authors: Meng Shunmei , Li Qianmu , Zhang Jing , Lin Wenmin , Dou Wanchun 
Published: July 2019

SummaryWith the explosive growth of cloud services, how to design effective recommendation models has become more and more important. Temporal information has been proved to be an important factor affecting recommendation performance. Actually, both of user behaviors and QoS performance of services are time‐sensitive, especially in dynamic cloud environment. However, most existing collaborative recommendation methods seldom consider temporal influence to QoS performance. Furthermore, with the ever‐increasing number of security threats in clouds, privacy preservation becomes an important problem to be addressed in recommender systems. Based on these observations, in this paper, we propose a temporal‐aware and sparsity‐tolerant hybrid collaborative recommendation method with privacy preservation, where tensor factorization‐based CF model is integrated into neighborhood‐based CF model to achieve improved recommendation performance. Specifically, temporal influence is considered into recommendation model by distinguishing short‐term QoS metrics from long‐term QoS metrics. A privacy‐aware time aggregation mechanism is adopted to preserve the sensitive time information of users. Moreover, to deal with the sparsity problem, a sparsity‐oriented data QoS rating prediction mechanism based on tensor factorization technique is applied to predict the missing or unrated QoS rating data. Finally, predictions are made based on both stable and temporal nearest neighbors. Experiments are conducted to demonstrate the prediction performance of our proposal.
What drives social responsibility indices returns? Macroeconomics matters
Authors: Liao Li‐Kai , Fan Yu‐Wei , Shih Ming‐Hsin 
Published: July 2019

AbstractThis study investigates the responsiveness of a social responsibility index's returns to cash flow news compared with a broad stock index. The study contributes by comprising the synergy of corporate social responsibility to reflect the influence of the macroeconomy and by increasing model appropriateness. The empirical results show that cash flow news is the primary factor to drive both index returns, but the effect is stronger for the S&P 500 Index. Consistently, the investors of the S&P 500 Index react to cash flow news appropriately. Before adding the macroeconomic state variable, cash flow news under explains FTSE4Good US 100 Index returns, but investors overreact to that information. After adjusting, the explanation power of cash flow news increases, and its investors rather underreact to that information.
A new design strategy for DC/DC LLC resonant converter: Concept, modeling, and fabrication
Authors: Khosrogorji Soheil , Soori Sepehr , Torkaman Hossein 
Published: July 2019

SummaryIn this paper, a new design procedure for LLC converter has been introduced. In fact, this method is a computer‐based design algorithm based on a numerical technique. In the process of designing, the value of the resonant element is obtained by solving the LLC converter fundamental equation. This converter will be controlled by using state feedback, such as output voltage variable. As a matter of fact, in a control system, the change of output voltage (because of load variation) will affect the switching frequency, so the output voltage will be tuned. In the designing process, the fundamental equations of LLC converter are obtained, and the value of the resonant elements is calculated. Also, a comparison analysis is carried out between the proposed and typical methods. The simulation is done to investigate the validity of the proposed method. Moreover, a prototype is manufactured, and the experimental test is done to evaluate its applicability.
Markov modeling of discrete fading channels using birth‐death channels
Authors: Moreira Igor , Pimentel Cecilio 
Published: July 2019

SummaryFinite‐state Markov channels (FSMCs) are widely employed to model the memory of time‐correlated discrete fading channels (DFCs). This work proposes a special class of FSMCs, denoted birth‐death channels (BDCs), to model the statistical behavior of the DFC. The number of states that generates accurate BDCs is estimated for a broad range of fading environments. Next, we evaluate the performance of error‐correcting codes over the BDC. A statistic of interest for this analysis is the P(m,n), the probability the channel generates up to m errors in a block of length n. It also proposed a combinatorial method to evaluate the probability P(m,n) for the BDC. The study of the statistical description of this channels has applications in modeling real channels and in designing coded systems for channels with memory.
A distributed Newton algorithm for network utility maximization in wireless ad hoc networks
Authors: Pan Lian , Wang Hanwu , Jia Weijia 
Published: July 2019

SummaryThe existing distributed Newton algorithm for network utility maximization cannot be directly applied into the wireless ad hoc networks, as it does not consider the wireless link capacity variation and transmission power consumption. Regarding these, a new joint network utility maximization problem is formulated to optimize the wireless ad hoc network resource utility. The distributed Newton algorithm is implemented to solve for the dual variables and Newton directions by using the local information at each session source and link, respectively. Furthermore, a new iterative method is proposed to improve the convergence rate of the existing matrix‐splitting method. Simulation results validate the efficiency and efficacy of the proposed distributed Newton algorithm for wireless ad hoc network utility maximization.
Performance enhancement of traffic information gathering (PEnTInG) algorithm for vehicular ad‐hoc networks
Authors: Kumar Rajeev , Kumar Dilip , Kumar Dinesh 
Published: July 2019

SummaryVehicular ad‐hoc networks (VANETs) play a vital role in today's context of vehicular traffic. In this paper, clusters of vehicles are created on the basis of average speed of the vehicles. One cluster communicates with the next cluster through a cluster head and also share the same information with next cluster heads and installed road side units (RSUs). By using this technique, we can solve the problem of rough driving behavior and road terrorism which is due to speed variation of vehicles and fake information dissemination by the drivers. Many a times, drivers may spread fake accident‐related information into the network which is a serious cause of concern in VANETs. It is ensured that such drivers are not allowed to spread wrong information in the network to avoid accidents. To solve this problem, we developed performance enhancement of traffic information gathering (PEnTInG) algorithm that selects only those drivers/vehicles as cluster heads in a cluster who has maximum value of the cluster head factor (CHF). The CHF is derived by considering different weights in range of 0 to 1 of relative average speed, time to leave, trust factor, and neighborhood degree. Further, the elected cluster head shares and stores the same information with the RSUs. In case, a driver wants to disseminate fake or wrong information in a network, then that vehicle driver can be easily tracked by the local authority by accessing RSU data. Simulation results show that the stability of PEnTInG is increased by 25% against the existing schemes viz. lowest‐ID, MCMF, and cluster‐based technique.
Mammary mesenchymal and fibroepithelial lesions: An illustrated cytomorphologic update with differential diagnoses
Authors: Khattab Ruba A. , Rowe J. Jordi , Booth Christine N. , Sneige Nour , Fong Nancy , Pantanowitz Liron , Oshilaja Olaronke , Brainard Jennifer A. , Downs‐Kelly Erinn P. , Dawson Andrea , Sturgis Charles D. 
Published: July 2019

AbstractThe Uniform Approach to Breast Fine Needle Aspiration Biopsy was put forward by a learned group of breast physicians in 1997. This landmark manuscript focused predominantly on diagnosis and reporting of mammary epithelial lesions. Today, most American practitioners turn initially to core biopsy rather than aspiration biopsy for the first line diagnosis of solid breast lesions; however, recent efforts from the International Academy of Cytology have produced a system called the Standardized Reporting of Breast Fine Needle Aspiration Biopsy Cytology (colloquially labeled in 2017 as the “Yokohama System”), suggesting a new interest in breast fine needle aspiration (FNA), especially in resource limited settings or clinical practice settings with experienced breast cytopathologists. Fibroepithelial lesions of the breast comprise a heterogeneous group of biphasic tumors with epithelial and stromal elements. Mesenchymal lesions of the breast include a variety of neoplasms of fibroblastic, myofibroblastic, endothelial, neural, adipocytic, muscular, and osteo‐cartilaginous derivations. The cytology of mesenchymal breast lesions is infrequently described in the literature and is mainly limited to case reports and small series. This illustrated review highlights the cytologic features of fibroepithelial and mesenchymal mammary proliferations and discusses differential diagnoses and histomorphologic correlates.
An Evaluation of the BEEHAVE Model Using Honey Bee Field Study Data: Insights and Recommendations
Authors: Agatz Annika , Kuhl Roland , Miles Mark , Schad Thorsten , Preuss Thomas G. 
Published: July 2019

Abstract
A lack of standard and internationally agreed procedures for higher-tier risk assessment of plant protection products for bees makes coherent availability of data, their interpretation, and their use for risk assessment challenging. Focus has been given to the development of modeling approaches, which in the future could fill this gap. The BEEHAVE model, and its submodels, is the first model framework attempting to link 2 processes vital for the assessment of bee colonies: the within-hive dynamics for honey bee colonies and bee foraging in heterogeneous and dynamic landscapes. We use empirical data from a honey bee field study to conduct a model evaluation using the control data set. Simultaneously, we are testing several model setups for the interlinkage between the within-hive dynamics and the landscape foraging module. Overall, predictions of beehive dynamics fit observations made in the field. This result underpins the European Food Safety Authority's evaluation of the BEEHAVE model that the most important in-hive dynamics are represented and correctly implemented. We show that starting conditions of a colony drive the simulated colony dynamics almost entirely within the first few weeks, whereas the impact is increasingly substituted by the impact of foraging activity. Common among field studies is that data availability for hive observations and landscape characterizations is focused on the proportionally short exposure phase (i.e., the phase where colony starting conditions drive the colony dynamics) in comparison to the postexposure phase that lasts several months. It is vital to redistribute experimental efforts toward more equal data aquisition throughout the experiment to assess the suitability of using BEEHAVE for the prediction of bee colony overwintering survival. Environ Toxicol Chem 2019;38:2535–2545. © 2019 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals, Inc. on behalf of SETAC
Abstract
Label‐free grading and staging of urothelial carcinoma through multimodal fibre‐probe spectroscopy
Authors: Baria Enrico , Morselli Simone , Anand Suresh , Fantechi Riccardo , Nesi Gabriella , Gacci Mauro , Carini Marco , Serni Sergio , Cicchi Riccardo , Pavone Francesco S. 
Published: July 2019

AbstractUrothelial carcinoma (UC) is the most common bladder tumour. Proper treatment requires tumour resection for diagnosing its grade (aggressiveness) and stage (invasiveness). White‐light cystoscopy and histopathological examination are the gold standard procedures for clinical and histopathological diagnostics, respectively. However, cystoscopy is limited in terms of specificity, histology requires long tissue processing, both procedures rely on operator's experience. Multimodal optical spectroscopy can provide a powerful tool for detecting, staging and grading bladder tumours in a fast, reliable and label‐free modality. In this study, we collected fluorescence, Raman and reflectance spectra from 50 biopsies obtained from 32 patients undergoing transurethral resection of bladder tumour using a multimodal fibre‐probe. Principal component analysis allowed distinguishing normal from pathological tissues, as well as discriminating tumour stages and grades. Each individual spectroscopic technique provided high specificity and sensitivity in classifying all tissues; however, a multimodal approach resulted in a considerable increase in diagnostic accuracy (≥95%), which is of paramount importance for tumour grading and staging. The presented method offers the potential for being applied in cystoscopy and for providing an automated diagnosis of UC at the clinical level, with an improvement with respect to current state‐of‐the‐art procedures.
A prospective examination of mask anxiety during radiotherapy for head and neck cancer and patient perceptions of management strategies
Authors: Nixon Jodie L. , Brown Bena , Pigott Amanda E. , Turner Jane , Brown Elizabeth , Bernard Anne , Wall Laurelie R. , Ward Elizabeth C. , Porceddu Sandro V. 
Published: July 2019

AbstractIntroductionDistress related to wearing an immobilisation mask for radiotherapy treatment (RT) is a common experience for the person undergoing RT for head and neck cancer (HNC). Described as ‘mask anxiety’, there is little known about the patterns of this distress through the course of the treatment or what strategies are being used by people to help alleviate mask anxiety.MethodsThe study used a prospective cohort design to examine the patterns of patient–reported mask anxiety during the course of RT, using a modified Distress Thermometer (DT) and a survey to explore strategies patients used to assist their mask anxiety.ResultsThirty‐five participants, who identified as experiencing mask anxiety, were followed throughout RT treatment. At baseline, females were more likely to experience higher mask anxiety (P = 0.03). Across the course of treatment, mask anxiety significantly (P < 0.001) reduced within the total cohort. In 72% of participants, the level of initial distress was found to reduce over time. Only 22% experienced mask anxiety that remained constant. Few (6%) experienced an increase in mask anxiety across the course of RT. Participants reported relying on intervention from health professionals, self–taught strategies, music, visualisation and medication to manage their mask anxiety.ConclusionsDue to its high prevalence and variable patterns over time, it is recommended that routine screening for mask anxiety be implemented as standard care throughout the course of RT for HNC. Multiple, diverse strategies are being used by patients and studies are needed to develop effective interventions for managing mask anxiety.
Biological modification of seawater chemistry by an ecosystem engineer, the California mussel,Mytilus californianus
Authors: Ninokawa Aaron , Takeshita Yuichiro , Jellison Brittany M. , Jurgens Laura J. , Gaylord Brian 
Published: July 2019

AbstractMarine habitat‐forming species often play critical roles on rocky shores by ameliorating stressful conditions for associated organisms. Such ecosystem engineers provide structure and shelter, for example, by creating refuges from thermal and desiccation stresses at low tide. Less explored is the potential for habitat formers to alter interstitial seawater chemistry during their submergence. Here, we quantify the capacity for dense assemblages of the California mussel,Mytilus californianus, to change seawater chemistry (dissolved O2, pH, and total alkalinity) within the interiors of mussel beds at high tide via respiration and calcification. We established a living mussel bed within a laboratory flow tank and measured vertical pH and oxygen gradients within and above the mussel bed over a range of water velocities. We documented decreases of up to 0.1 pH and 25μmol O2kg−1internal to the bed, along with declines of 100μmol kg−1in alkalinity, when external flows were < 0.05 m s−1. Although California mussels often live in habitats subjected to much faster velocities, sizeable populations also inhabit bays and estuaries where such moderate flow speeds can occur > 95% of the time. Reductions in pH and O2inside mussel beds may negatively impact resident organisms and exacerbate parallel human‐induced perturbations to ocean chemistry while potentially selecting for improved tolerance to altered chemistry conditions.
Liver Imaging Reporting and Data System Version 2018: Impact on Categorization and Hepatocellular Carcinoma Staging
Authors: Chernyak Victoria , Flusberg Milana , Berman Jesse , Fruitman Kate C. , Kobi Mariya , Fowler Kathryn J. , Sirlin Claude B. 
Published: July 2019

The purpose of this study was to assess the concordance in categorization and radiologic T staging using Liver Imaging Reporting and Data System (LI‐RADS, LR) version 2017 (v2017), version 2018 (v2018), and the Organ Procurement and Transplantation Network (OPTN) criteria. All magnetic resonance imaging and computed tomography reports using a standardized LI‐RADS macro between April 2015 and March 2018 were identified retrospectively. The major features (size, arterial phase hyperenhancement, washout, enhancing capsule, or threshold growth) were extracted from the report for each LR‐3, LR‐4, and LR‐5 observation. Each observation was assigned a new category based on LI‐RADS v2017, v2018, and OPTN criteria. Radiologic T stage was calculated based on the size and number of LR‐5 or OPTN class 5 observations. Categories and T stages assigned by each system were compared descriptively. There were 398 patients (66.6% male; mean age, 63.4 years) with 641 observations (median size, 14 mm) who were included. A total of 73/182 (40.1%) observations categorized LR‐4 by LI‐RADS v2017 were up‐categorized to LR‐5 by LI‐RADS v2018 due to changes in the LR‐5 criteria, and 4/196 (2.0%) observations categorized as LR‐5 by LI‐RADS v2017 were down‐categorized to LR‐4 by LI‐RADS v2018 due to changes in the threshold growth definition. The T stage was higher by LI‐RADS v2018 than LI‐RADS v2017 in 49/398 (12.3%) patients. Compared with the OPTN stage, 12/398 (3.0%) patients were upstaged by LI‐RADS v2017 and 60/398 (15.1%) by LI‐RADS v2018. Of 101 patients, 5 (5.0%) patients with T2 stage based on LI‐RADS v2017 and 10/102 (9.8%) patients with T2 stage based on LI‐RADS v2018 did not meet the T2 criteria based on the OPTN criteria. Of the 98 patients with a T2 stage based on OPTN criteria, 2 (2.0%) had a T stage ≥3 based on LI‐RADS v2017 and 6 (6.1%) had a T stage ≥3 based on LI‐RADS v2018.
Effect of the wall thickness on the forming behavior and welding result during magnetic pulse welding
Authors: Bellmann J. , Lueg‐Althoff J. , Schulze S. , Hahn M. , Gies S. , Beyer E. , Tekkaya A.E. 
Published: July 2019

AbstractMagnetic pulse welding is a promising technology for the joining of dissimilar metals. Since the input of thermal energy is significantly reduced compared to conventional fusion welding technologies, critical intermetallic phases can largely be avoided. Therefore, proper collision conditions are necessary. Those require a careful adjustment of the energetic and geometric parameters at the impact welding setup. The thickness of the accelerated joining partner (flyer) determines the necessary energy input for a successful weld. However, at the same time, it has an effect on the weld formation. This study utilizes a novel optical measurement system to explain these findings and to gain insights into the forming behavior of the flyer parts. It is shown that the collision angle depends on the flyer tube thickness and, thus, directly has an effect on the welding result.
Changes in rainfall seasonality pattern over India
Authors: Rai P. , Dimri A. P. 
Published: July 2019

AbstractRainfall seasonality over India is studied using an individual seasonality index. The spatial distribution of the individual seasonality index and the mean individual seasonality index over two periods, that is, early (1901–1970) and recent (1971–2015), is analysed. Trend analysis using linear regression during these two periods shows a declining trend in seasonality index (i.e. decreasing values of the index), which impends shorter dry periods resulting in more consistent rainfall throughout the year in some parts of India during the recent period (1971–2015).
Impact of CHRNA5 polymorphisms on the risk of schizophrenia in the Chinese Han population
Authors: Zhan Dafei , Yao Qiankun , Fu Shaojian , Liu Xianglai , Zhou Jun , Chen Daqiang , Yu Chuanlong 
Published: July 2019

AbstractBackgroundSchizophrenia is a complex mental disease whose cause is still unknown. Neuronal nicotinic acetylcholine receptors (nAChRs) have been implicated in various neurological disorders, including schizophrenia. The previous reports have shown that CHRNA polymorphisms were involved in schizophrenia. This study is to explore the potential association between CHRNA5 (OMIM#118505) polymorphisms and schizophrenia susceptibility in a Chinese population.Methods and ResultsA case–control study was conducted with 384 schizophrenia patients and 687 controls. We genotyped eight single nucleotide polymorphisms (SNPs) distributed in CHRNA5. Regulome DB, HaploReg, and GTEx databases were used to calculate possible functional effects of the polymorphisms. The χ2 test, genetic model analysis, and haplotype analysis were involved in assessing genetic association between variants and schizophrenia risk. The results exhibited that rs17486278 (NC_000015.10:g.78575140A>C) was associated with a decreased risk of schizophrenia on the basis of the recessive model (adjusted OR = 0.37, 95%CI: 0.15–0.93) in females. Moreover, we found that the four variants rs588765, rs6495306, rs680244, rs692780 were extremely significant after being stratified by ≥45 years.ConclusionsOverall, our findings supported that the potential association existed between CHRNA5 polymorphisms and schizophrenia susceptibility in a Chinese population. But, large sample validation is needed to enhance the accuracy of our results.
4‐Methylcatechol, a Flavonoid Metabolite with Potent Antiplatelet Effects
Authors: Applová Lenka , Karlíčková Jana , Warncke Paul , Macáková Kateřina , Hrubša Marcel , Macháček Miloslav , Tvrdý Václav , Fischer Dagmar , Mladěnka Přemysl 
Published: July 2019

ScopeIntake of flavonoids from the diet can be substantial, and epidemiological studies suggest that these compounds can decrease the incidence of cardiovascular diseases by involvement with increased platelet aggregation. Although parent flavonoids possess antiplatelet effects, the clinical importance is disputable due to their very low bioavailability. Most of them are metabolized by human colon bacteria to smaller phenolic compounds, which reach higher plasma concentrations than the parent flavonoids. In this study, a series of 29 known flavonoid metabolites is tested for antiplatelet potential.Methods and resultsFour compounds appear to have a biologically relevant antiplatelet effect using whole human blood. 4‐Methylcatechol (4‐MC) is clearly the most efficient being about 10× times more active than clinically used acetylsalicylic acid. This ex vivo effect is also confirmed using a potentially novel in‐vivo‐like ex ovo hen's egg model of thrombosis, where 4‐MC significantly increases the survival of the eggs. The mechanism of action is studied and it seems that it is mainly based on the influence on intracellular calcium signaling.ConclusionThis study shows that some flavonoid metabolites formed by human microflora have a strong antiplatelet effect. This information can help to explain the antiplatelet potential of orally given flavonoids.