bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sexual dysfunction in a cohort of patients with moderate‐to‐severe atopic dermatitis. Influence of dupilumab treatment
Authors: Linares‐Gonzalez Laura , Lozano‐Lozano Ignacio , Gutierrez‐Rojas Luis , Ruiz‐Villaverde Ricardo , Lozano‐Lozano Mario 
Published: October 2021

AbstractIntroductionAtopic dermatitis is a systemic and immune‐mediated dermatological disease that comprises a wide group of physiological and psychological comorbidities. Within the latter, the evaluation of anxiety and depression has been the subject of numerous studies, but sexual dysfunction (SD) is a fact that is rarely addressed in the literature. The objective of the present study is to assess the prevalence of SD in a cohort of patients with moderate‐to‐severe atopic dermatitis (AD) and to establish the possible impact of dupilumab therapy on it.Material and methodsA cross‐sectional study was performed. Recruited patients had been diagnosed with moderate‐to‐severe AD at the Dermatology Unit of the Hospital Universitario San Cecilio, Granada, Spain, from July 1, 2019, through June 30, 2020. They were followed up for a 6‐month period during which the impact of dupilumab treatment was measured. The main variable under study, sexual dysfunction, was evaluated differently according to gender. Regarding the male patients, the International Index Erectile Function (IIEF‐5) was applied, whereas for female patients, the questionnaire “Female Sexual Function Index” was used.ResultsOur study included 31 patients, 18 men and 13 women. Men’s mean age was 35 +/− 14.55 years, while that of women was 33 +/− 10.46 years. Seventy‐nine percent of patients in our series (n = 22) had SD compared to 29% (n = 9) who did not. A total of 66.9% of males and 76.9% (n = 10) of females sampled, suffered from SD. Six months after initiation of treatment, none of the patient had stopped it due to efficacy or safety issues. All severity indices (SCORAD, EASI, VAS pruritus, and DLQI) had significantly improved by more than 50% from baseline. The improvement in the sexual dysfunction index had improved by four points, both in the male and female patients.DiscussionMany large population studies on SD in patients with moderate‐to‐severe atopic AD only focus on male gender and clinical diagnoses, rather than specific and validated questionnaires. Dupilumab treatment in patients with moderate‐to‐severe AD has shown a positive impact on the levels of SD in both male and female populations. Further studies focused on populations with mild atopic AD and with larger sample sizes are required to corroborate these preliminary results.
Enhancing glass anode performance for lithium‐ion batteries via crystallization
Authors: Qi Shibin , Li Xiangyu , Jiang Zhenjing , Zhang Jiayan , Shan Zhitao , Zhang Yanfei 
Published: October 2021

AbstractWe investigate the thermal and electrochemical properties of xFe2O3‐(100‐x) P2O5 glass (x = 20, 30, 40, and 50 mol%) and 50Fe2O3‐50P2O5 (50FeP) glass‐ceramics as anodes for lithium‐ion batteries (LiBs). The results show that both the glass transition temperature and the energy bandgap monotonically decrease with the increasing Fe2O3 while a critical Fe2O3 content of 30 mol% is found to give glass the highest thermal stability, the largest capacity at 1 Ag‐1, and the lowest charge‐transfer resistance before cycling. Moreover, Fe3(P2O7)2 crystals formed during heat treatment in 50FeP glass effectively enhances the electrochemical properties. The optimum heat treatment condition for 50FeP glass is found at 1033 K for 4 h, that is, 1033 K‐4 h sample enables a reversible capacity of 237 mA h g−1 at the end of 1000 cycles at 1 Ag‐1, which is more than 1.5 times higher than that of the 50FeP glass‐based anode. These findings suggest that the Fe2O3‐P2O5 glass‐ceramics hold significant potential for the effective development of new types of glass anodes for future advanced LiBs.
Indentation deformation and cracking behavior of hydrated aluminoborate glasses
Authors: Liu Pengfei , Jensen Lars R. , Gao Chengwei , Smedskjaer Morten M. 
Published: October 2021

AbstractAluminoborate glasses have recently been found to feature high resistance to crack initiation during indentation due to a highly flexible network structure. In cesium aluminoborate glasses, it has been found that the use of a simple post‐treatment, namely aging in a humid atmosphere, can further improve this resistance. To better understand the mechanical properties of this glass family upon humid aging, we here study the effect of aging conditions on the structure and mechanical properties of Li,K,Cs‐aluminoborate glasses. As expected, we find that higher humidity and longer aging time cause more pronounced permeation of atmospheric water into the glasses. Due to their denser structure and stronger modifier‐oxygen bonds, the humid aging has a relatively smaller effect on the mechanical properties of Li‐ and K‐containing glasses relative to Cs‐containing glasses, with the latter achieving an ultrahigh crack resistance. We find that the humid aging leads to the formation of a hydration layer in the Cs‐aluminoborate glass surface, with a thickness of around 26 μm upon aging at 23 °C with 40% relative humidity for 7 days. Moreover, a remarkable indentation behavior, that is, the observation of μm‐sized shear bands inside the imprint of the Cs‐glass upon aging at 60% relative humidity is reported. Taken as a whole, the work provides guidelines for how to control the humid aging rate as a function of relative humidity and temperature to form a hydration layer and thus achieve improved crack resistance in such glasses.
Leveraging resources for innovation: The role of synchronization
Authors: Carnes Christina Matz , Hitt Michael A. , Sirmon David G. , Chirico Francesco , Huh Dong Wook 
Published: October 2021

AbstractLeveraging resources to develop innovation is central to exploiting market opportunities, yet doing so is complex and fraught with challenges. This study explores some of this complexity by theoretically detailing and empirically examining the critical role that synchronization plays in the process of leveraging resources to create innovation. Specifically, we integrate resource orchestration with the behavioral theory of the firm to investigate the joint effect of synchronization and leveraging strategies on innovation under different performance conditions. Using policy capturing methodology resulting in 3600 observations from 120 managers, we find empirical evidence that synchronization can enhance innovation outcomes of all leveraging strategies. Yet, this positive synergistic effect occurs in high performing firms that use the resource advantage and market opportunity leveraging strategies and in low performing firms that use the entrepreneurial leveraging strategy. Our theory and results offer important contributions to the innovation and resource orchestration literatures. First, our study offers a contextually rich examination of innovation, suggesting that it is not only resources, but also managerial actions and a firm's relative performance that drive innovation outcomes. Specifically, this study adds to our knowledge of the relationship between resources and innovation strategies by investigating the impact of synchronization—a key contingency in understanding the effects of resources on innovation. Second, we examine boundary conditions of synchronization's influence by integrating behavioral logic in the context of relative firm performance. Mixed evidence exists on the synergistic effect of valuable capabilities, with some studies showing increased gains and others finding evidence of a neutral relationship. This study begins to disentangle these findings by suggesting that resource leveraging strategies and synchronization together enhance innovation when the strategy aligns with the firm's relative performance aspirations, answering calls for the development of a more nuanced understanding of the pursuit of innovation.
Daily Mortality/Morbidity and Air Quality: Using Multivariate Time Series with Seasonally Varying Covariances
Authors: Huang Guowen , Brown Patrick E. , Fu Sze Hang , Shin Hwashin Hyun 
Published: October 2021

AbstractWe study the associations between daily mortality and short-term variations in the ambient concentrations of fine particulate matter (PM2.5), nitrogen dioxide (NO2) and ozone (O3) in four cities in Canada. First, a novel multivariate time series model within Bayesian framework is proposed for exposure assessment, where the response is a mixture of Gamma and Half-Cauchy distributions and the correlations between pollutants vary seasonally. A case-crossover design and conditional logistic regression model is used to relate exposure to disease data for each city, which then are combined to obtain a global estimate of exposure health effects allowing exposure uncertainty. The results suggest that every 10 ppb increase in O3 is associated with a 3.88% (95% credible interval [CI], 2.5%, 5.18%) increase in all-cause mortality, a 5.04% (2.84%, 7.43%) increase in circulatory mortality, a 7.87% (2.4%, 12.9%) increase in respiratory mortality, a 0.76% (0.19%, 1.35%) increase in all-cause morbidity and a 6.6% (0.58%, 12.7%) increase in respiratory morbidity. Similarly, every 10 ppb increase in NO2 is associated with a 2.13% (0.42%, 3.87%) increase in circulatory morbidity. The health impacts of PM2.5 are not found to be present once other pollutants are accounted for.
Predicting nonsuicidal self‐injury using a variant of the implicit association test
Authors: Cathelyn Femke , Van Dessel Pieter , De Houwer Jan 
Published: October 2021

AbstractObjectiveNonsuicidal self‐injury (NSSI) is a severe problem, and its prevalence is increasing. To aid prevention and treatment, there is an urgent need for evidence‐based measures to identify individuals at risk for NSSI. Measures that probe past NSSI are most promising, but people are often motivated to conceal NSSI behavior. This problem can be overcome by using implicit measures, which do not require individuals to self‐report on their behavior. Yet, prior research typically found weak predictive utility of implicit measures. Based on a new perspective on implicit measures and recent findings in NSSI research, we developed an Implicit Association Test that probes past NSSI (the P‐NSSI‐IAT).MethodWe report two preregistered studies (N = 83; N = 372) in which we tested the utility of the P‐NSSI‐IAT to detect past NSSI and predict NSSI one month later.ResultsP‐NSSI‐IAT scores (a) differentiated injury groups from non‐injury groups and (b) prospectively predicted NSSI and improved prediction above and beyond risk factors of NSSI.ConclusionsThese initial findings suggest that the P‐NSSI‐IAT is a promising tool for NSSI risk assessment. Future studies should further examine the predictive utility of this newly developed measure for NSSI behavior.
The genetic association with injury risk in male academy soccer players depends on maturity status
Authors: Hall Elliott C. R. , Baumert Philipp , Larruskain Jon , Gil Susana M. , Lekue Josean A. , Rienzi Edgardo , Moreno Sacha , Tannure Marcio , Murtagh Conall F. , Ade Jack D. , Squires Paul , Orme Patrick , Anderson Liam , Brownlee Thomas E. , Whitworth‐Turner Craig M. , Morton James P. , Drust Barry , Williams Alun G. , Erskine Robert M. 
Published: October 2021

It is currently unknown if injury risk is associated with genetic variation in academy soccer players (ASP). We investigated whether nine candidate single nucleotide polymorphisms were associated (individually and in combination) with injury in ASP at different stages of maturation. Saliva samples and one season's injury records were collected from 402 Caucasian male ASP from England, Spain, Uruguay, and Brazil, whose maturity status was defined as pre‐ or post‐peak height velocity (PHV). Pre‐PHVCOL5A1rs12722 CC homozygotes had relatively higher prevalence of any musculoskeletal soft tissue (22.4% vs. 3.0%,p = 0.018) and ligament (18.8% vs. 11.8%,p = 0.029) injury than T‐allele carriers, whileVEGFArs2010963 CC homozygotes had greater risk of ligament/tendon injury than G‐allele carriers. Post‐PHVIL6rs1800795 CC homozygotes had a relatively higher prevalence of any (67.6% vs. 40.6%,p = 0.003) and muscle (38.2% vs. 19.2%,p = 0.013) injuries than G‐allele carriers. Relatively more post‐PHVEMILIN1rs2289360 CC homozygotes suffered any injury than CT and TT genotypes (56.4% vs. 40.3% and 32.8%,p = 0.007), while the “protective”EMILIN1 TT genotype was more frequent in post‐ than pre‐PHV ASP (22.3 vs. 10.0%,p = 0.008). Regardless of maturity status, T‐alleles ofACTN3rs1815739 andEMILIN1rs2289360 were associated with greater absence following ankle injury, while theMMP3rs679620 T‐allele andMYLKrs28497577 GT genotype were associated with greater absence following knee injury. The combination of injury‐associated genotypes was greater in injured vs. non‐injured ASP. This study is the first to demonstrate that a genetic association exists with injury prevalence in ASP, which differs according to maturity status.
Violación al patrimonio cultural en Teotihuacán y Cuernavaca, México
Authors: Lay Arellano Tonatiuh 
Published: October 2021

En este artículo se hace una revisión de los casos de San Juan Teotihuacán, en el Estado de México, y de Cuernavaca, en el Estado de Morelos, en México, en donde las tiendas Walmart y Costco se instalaron en predios con existencia de vestigios arqueológicos e históricos, respectivamente, afectando el patrimonio cultural del lugar. Esta situación provocó diversas manifestaciones y movilizaciones, las cuales finalmente fueron desestimadas no por la razón jurídica, sino por acciones de colusión entre las autoridades gubernamentales y las empresas en cuestión.
Este texto tiene el objetivo realizar un recuento de los argumentos y posturas dadas a conocer, sobre todo por la prensa, con lo cual se pretende compilar los testimonios de los actores, como fuente de memoria de hechos no sólo ilegales, sino que presumiblemente afectaron el patrimonio cultural de diversas comunidades.
Parametric Numerical Study on the Self-Propulsive Performance of The DARPA Suboff Submarine via the Body-Force Propeller Method
Authors: Takahashi Kenshiro , Mori Takayuki 
Published: October 2021

Abstract
This study is based on previous works in a series of numerical studies on submarine hydrodynamics, which involved developing a computational fluid dynamics method to estimate the self-propulsive performance of underwater vehicles. Herein, the Defense Advanced Research Projects Agency SUBOFF submarine model was adopted as a benchmark. The computational modeling applied was based on the Reynolds-averaged Navier-Stokes turbulence model. A body-force propeller method was adopted to model the propulsion. The self-propulsive performance was verified via mesh refinement and validated by comparing the computational solutions with the results obtained from the experiments. The effect of the Reynolds number on the self-propulsive performance was investigated by varying the positions of the stern planes, while the free surface effect was determined by varying the Froude number (Fr) via the volume of fluid method. The computed Taylor wake fraction (w) and hull efficiency (ηH) depended on the Reynolds number as it decreased monotonically. The w and thrust deduction fraction (t) for the model of aft-fitted stern planes were approximately 3–7% and 8–10% higher than those of the baseline and fore-fitted stern planes, respectively. The differences in ηH between the models were insignificant. Regarding the free surface effects, the computations of w, t, and ηH generally decreased with Fr, thus exhibiting several humps and hollows. The computed upward suction force and pitching moment varied from negative to positive and vice versa, depending on Fr.
Automated Pattern Recognition in Real-Time Drilling Data for Early Karst Detection
Authors: Maksimov Danil , Løken Marius Alexander , Pavlov Alexey , Sangesland Sigbjørn 
Published: October 2021

Abstract
Drilling in carbonate formations often poses a real challenge to operators, contractors and service companies. Severe fluid losses, gas kicks and other unwanted situations increase drilling risks. These risks are closely related to drilling through karsts — vugs, cavities and fractures. Therefore it is important to detect karsts early enough to avoid drilling into them or, once drilling in a karstification region is detected, to prepare risk mitigating actions. Some geophysical methods can be used for karsts detection, however, they have limitations and cannot guarantee early detection of karsts. One of the recent studies has shown that certain patterns in real-time drilling data can serve as indicators of zones with a higher likelihood of encountering karsts. In this paper, we demonstrate how these patterns can be detected in an automated manner with an adaptive differential filter algorithm. The method has been validated on real drilling data.
Opportunities With Renewable Wave Energy and Challenges in the Design of Floating Wave Energy Converter Systems
Authors: Ringsberg Jonas W. , Yang Shun-Han 
Published: October 2021

Abstract
Wave energy is one among several resources of renewable energy which needs to be utilized in the future to solve human’s energy demand. Several technologies have been proposed but yet there are few commercial concepts that have been connected to the grid. The floating wave energy converters (WECs) will have an important role in the supply of electricity in the future. But there are several challenges in their designs on systems and component levels that need to be overcome and solved. There are also challenges related to installation and maintenance. The current paper presents and discusses examples of challenges on component and systems level, with reference to floating WECs. One specific concept is studied in detail with an emphasis on mooring design, fatigue life of elastic mooring systems and umbilical cables, power performance of individual WECs vs WECs installed in wave parks. The levelized cost of electricity method is used to compare some configurations that have been studied in more detail. Examples of results from numerical simulations and full-scale measurements on a floating heave point-absorber are presented.
Experimental Wave Flume Tests in ROV-Wave Interaction Effects on the Line Tension for a Work Class ROV in Splash Zone
Authors: Lubis Michael Binsar , Kimiaei Mehrdad 
Published: October 2021

Abstract
Integrity and stability of Remotely Operated Vehicle (ROV) when passing through the splash zone is one of the main concerns in the design of an ROV-umbilical system. Due to the lightweight nature of ROV in water, the umbilical experiences repetitive rapid transitions between slack and taut as the ROV travels through the splash zone. These rapid transitions induce tension spikes in the umbilical, namely snap forces, that can endanger the launch and recovery of an ROV. Therefore, it is important to ensure that the tension spikes do not exceed the safe working load of the umbilical.
In this study, launch and recovery of a deep-water work class ROV are experimentally investigated using a 1:10 scaled ROV model through a series of wave flume tests. Different regular and irregular waves are generated in the flume while the ROV model is hung over the flume in four different positions. The tension time-history in the line is measured and recorded using a load cell at the top-end of the line. A simplified numerical model for launch and recovery of the ROV is developed and the numerical results are compared with the experimental ones. It is shown that the presented simplified model can be accurately used for analysis of launch and recovery of the ROV.
Damping Estimation Methods Applied to in Service Measurements of a 350 Metre Container Ship
Authors: Hageman R. B. , Andoniu A. , Benhamou A. 
Published: October 2021

Abstract
Large modern container ships feature an open cross section which results in a low stiffness of the vessel to global hull excitation. The contribution of whipping is a significant portion of the overall acceleration and stress response of such a vessel. Whipping results in an increase of the maximum hull girder bending moment experienced by the vessel as well as an increase in the fatigue accumulation of critical details.
In this research, we present damping estimates based on in-service measurements from a container ship. An array of accelerometers was used to derive the first three vertical and first twist vibration modes. The flexural vibrations were isolated using two different methods: first, the Enhanced Frequency Domain Decomposition and secondly, the time domain Stochastic Subspace Identification. Both methods were applied to four representative voyages of the vessel covering a variety of environmental and loading conditions.
On the two- and three-node vertical vibration modes, consistent results between both methods have been obtained. Both the four-node vertical vibration mode and the twist mode showed larger deviations between the two methods. On the vertical vibration modes, the damping is between 0.5 and 2%. On the twist modes, the damping is significantly larger at 5% and up. A correlation between the combined damping and the significant wave height was observed for the different flexural modes.
The Fundamental Research on AI Prediction and Determination of Control Force for Maximizing the Power Generation of PA-WEC in Irregular Waves
Authors: Murai Motohiko , Sakamoto Sho 
Published: October 2021

Abstract
Marine renewable energy is expected as an alternative energy source to fossil fuel. Wave energy is one of the marine renewable energy. The subject of this paper is maximizing power generation by a Point Absorber Wave Energy Converters (PA-WEC) in irregular waves. In the previous study on maximizing the power generation by one of the authors, it has been shown the theoretical solution of the time-domain control force in irregular waves which are defined by superposing regular waves components. That is, if the PA-WEC can simultaneously understand the irregular incident waves as multi certain regular wave components, it can be decided the control force for maximizing the power generation. On the other hand, it is quite difficult to predict precisely and simultaneously the component of coming irregular waves to a PA-WEC installed in the ocean.
In the recent, Artificial Intelligence (AI) and machine learning technology progress rapidly. In the machine learning system, because reading huge data with the relation among them, sometimes it finds out the path connecting A matter and B matter without visible theoretical or logical relations. In this case, the quality of a training data is quite important for accuracy or certainty of the efficient prediction.
In this paper, we examine the possibility of applying AI to predict and decide the control force for maximizing the power generation of the PA-WEC in irregular waves. Some of the results given by the AI has been quite close to the theoretical answer in irregular waves. Through the examination, we investigate and discuss the best or the effective combination of training data sets which are based on the theoretical situation in known waves.