bluuebunny/crossref_metadata_2025_split huggingface dataset:
The influence of frontline employee self‐disclosure about products in a retail store on customer trust in the retailer in the context of service encounters
Authors: Park Jihye , Yi Youjae 
Published: April 2023

AbstractThe current research investigates how customers respond to self‐disclosure by frontline employees in the service encounter context of retailing. Three scenario‐based experiments demonstrate that self‐disclosure by frontline employees related to the promoted products in a retail store has a beneficial impact on the trust which customers feel in the store. This effect is mediated by both perceived employee effort and intimacy toward employees. However, this self‐disclosure effect is mitigated when customers perceive strong persuasive intent via persuasive attempts by employees. From a practical viewpoint, our investigations offer applicable tactics for producing desired outcomes regarding relational benefits (i.e., trust) during service encounters.
Effective Stakeholder Engagement for Offshore Wind Energy Development: The State of New York's Fisheries and Environmental Technical Working Groups
Authors: Brunbauer Morgan , McClellan Press Kate , Williams Kathryn A. , Dresser Brian K. , Gulka Julia , Lampman Greg 
Published: April 2023

Abstract
The offshore wind (OSW) energy industry is rapidly developing in the United States. New federal mandates require at least 30 GW of OSW by 2030. With the largest goal in the eastern United States, the state of New York seeks to advance OSW in a way that is both environmentally and socially responsible as well as cost-effective. To achieve this, New York developed technical working groups (TWGs) in 2017 focused on critical topics relating to OSW energy development, including the Fisheries Technical Working Group and Environment Technical Working Group (F-TWG and E-TWG; collectively, “the TWGs”). The TWGs are composed of OSW developers, fishing industry (F-TWG) or environmental nongovernmental organizations (E-TWG), federal agency representatives, and state representatives from Maine to North Carolina. These groups advise the state of New York on OSW issues by emphasizing the use of science and technical expertise to inform decision making. The effectiveness of TWG collaborations is due to a variety of reasons, including the regional scale of stakeholder involvement, which allows the groups to develop guidance at an appropriate geographic scale relative to OSW and fishing activities and wildlife populations. The regional collaboration and communication fostered by the TWGs are essential for building trust among stakeholder groups and working collectively to minimize fisheries and environmental impacts as the OSW industry progresses. This paper highlights the OSW stakeholder engagement process and approach implemented by New York through the development of TWGs, as a means of identifying needs for environmental and fisheries resources to inform responsible OSW development within New York and regionally across the eastern United States. The lessons learned from the TWG process can be used to inform stakeholder engagement efforts in other locations.
Modified algebraic reconstruction technique based on circular scanning geometry to improve processing time in photoacoustic tomography
Authors: Ahangar Darband Maryam , Qorbani Omid , Najafi Aghdam Esmaeil 
Published: April 2023

AbstractPhotoacoustic imaging is low‐risk, and noninvasive tool for imaging biological tissues that acoustically respond to absorbed irradiating nonionized short laser pulse by tissue, then the image of light energy absorption distribution in the tissue has been reconstructed by image reconstruction algorithms. Indeed, photoacoustic tomography is a hybrid imaging modality that combines pure optical and acoustic imaging methods to take advantage of them, therefore, it contains high optical contrast with good ultrasonic resolution. However, improving its main parts is challenging. One of the most important parts of photoacoustic imaging is image reconstruction using appropriate algorithms. There are various image reconstruction methods. Image reconstruction based on an algebraic algorithm can reconstruct a clear image without artifact, but the algorithm is typically time‐consuming. This paper deals with this drawback of the algorithm. Simulations demonstrate significant improvement in the processing time of reconstructed images achieved by our proposed algorithm as compared to the phase‐controlled algorithm. Based on the image reconstruction algorithm in circular scanning geometry presented in this article, the processing time required to create a 2D tomographic image is reduced from 60 to 3.89 s compared to our previous work, which was based on a phase‐controlled algorithm. This improvement was based on inspiration from the experiences of our past works in dealing with various image reconstruction algorithms, which ultimately led to improvement in the calculation time.
The Major Depression Inventory for diagnosing according to DSM‐5 and ICD‐11: Psychometric properties and validity in a Swedish general population
Authors: Lundin Andreas , Möller Jette , Forsell Yvonne 
Published: April 2023

AbstractObjectivesThe Major Depression Inventory (MDI) was constructed to assess DSM‐IV and ICD‐10 depression symptoms, and does not fully cover the symptoms listed in DSM‐5 and ICD‐11. This study aimed to augment the MDI to the new diagnostic standards by adding a new item, and to assess and compare the measurement performance of the MDI items and diagnostic algorithms for major depression according to DSM‐IV, ICD‐10, DSM‐5 and ICD‐11.MethodsSurveys collected 2001–2003 and 2021, including self‐assessed MDI were used. A new hopelessness item was constructed and analyzed alongside the hopelessness item in the Symptom Checklist. The performance of items was compared using Rasch and Mokken analyses. Criterion validity was examined using equivalent diagnoses from psychiatric interview (Schedules for Clinical Assessments in Neuropsychiatry [SCAN]) as standard.ResultsMDI information was provided by 8511 individuals in 2001–2003 (SCAN subsample n = 878), and 8863 in 2021. All items, including hopelessness had good psychometric properties. Sensitivity ranged between 56% and 70%, and specificity between 95% and 96%, indicating similar criterion validity.ConclusionsHopelessness and the MDI items had good psychometrics. MDI for DSM‐5 and ICD‐11 had similar validity as for DSM‐IV and ICD‐10. We recommend that MDI is updated to DSM‐5 and ICD‐11 by adding a hopelessness item.
Detection of car parking space by using Hybrid Deep DenseNet Optimization algorithm
Authors: Rajyalakshmi Vankadhara , Lakshmanna Kuruva 
Published: April 2023

AbstractInternet of Things (IoT) and related applications have revolutionized most of our societal activities, enhancing the quality of human life. This study presents an IoT‐based model that enables optimized parking space utilization. The paper implements a Hybrid Deep DenseNet Optimization (HDDNO) algorithm for predicting parking spot availability involving Machine Learning (ML) and deep learning techniques. The HDDNO‐based ML model uses secondary data from the National Research Council Park (CNRPark) in Pisa, Italy. Different regression algorithms are employed to forecast parking lot availability for a given time as part of the prediction process. The DenseNet technique has generated promising results, whereas the HDDNO model yielded better accuracy. The use of five optimizers, namely, Adaptive Moment Estimation (Adam), Root Mean Squared Propagation (RMSprop), Adaptive Gradient (AdaGrad), AdaDelta, and Stochastic Gradient Descent (SGD), have played significant roles in minimizing the loss of the model. The part of Adam has enabled the HDDNO model to generate predictions with high accuracy 99.19% and low loss 0.0306%. This proposed methodology would significantly improve environmental safety and act as an initiative toward developing smart cities.
Clinical ethics problems in psychiatry and the need for clinical ethics consultation in Japan: A cross‐sectional study
Authors: Sato Hiroyuki , Takimoto Yoshiyuki 
Published: April 2023

AbstractAimPsychiatrists often encounter ethical dilemmas in their daily clinical practice. Clinical ethics consultations (CECs) have been recently increasing, especially in general hospitals. However, the current situation in the psychiatric field is unclear. This study clarifies clinical ethics problems in psychiatry and determines the need for CECs.MethodsWe conducted an anonymous self‐administered questionnaire survey in February 2022, which targeted directors and supervisors of psychiatric specialty training programs at 1224 psychiatry facilities.ResultsResponses were received from 311 facilities (response rate: 25.4%). CEC systems existed in 223 (72.2%) facilities, and medical safety committees were the most common. Clinical ethics problems occurred at 248 (80.3%) facilities; the most common method for managing the problems was discussions at case conferences without using CECs. The top four reasons for psychiatrists to solicit advice were conflicts with patients’ relatives, treating a patient with cognitive impairment, discontinuation of treatment, and suicide/attempted suicide. Most respondents (89.9%) considered CECs necessary.ConclusionAlthough CECs exist in psychiatry, they may not meet the needs of clients. Future studies are needed to investigate client satisfaction and CEC evaluation methods in facilities where psychiatric CECs are provided.
Effective polymerization of linear higher alpha olefins from refinery stream for lubricant application
Authors: Sharma Bhawna , Verma Akash , Kukrety Aruna , Saini Swati , Kumar Umesh 
Published: April 2023

AbstractPolyalphaolefins (PAOs) have potential applications as synthetic lubricants in automotive, industrial, and aviation equipment, including motor oils, hydraulic, and transmission fluids. During the present work, the linear higher alpha olefins (LHAOs) ranging from C8 to C12 present in the refinery stream (RS) are polymerized using Lewis acid catalyst combination of transition metal halide of Group 4, that is, TiCl4 and Group 13 metal halide, that is, AlCl3. The influence of Ti:Al (1:1, 1.5:1, 1:2, and 2:1) molar ratios, polymerization time (2–8 h), and polymerization temperature (100–170°C) on the polymerization behavior of LHAOs were also investigated. The synthesized PAOs were characterized using different analytical techniques, including 1H‐13C nuclear magnetic resonance (NMR), Fourier transform infrared spectroscopy (FT‐IR), thermogravimetric analysis (TGA), and gel permeation chromatography (GPC). The performance evaluation of PAOs was evaluated in terms of density, pour point, oxidation stability, thermal stability, kinematic viscosity (KV), viscosity index (VI), friction, and corrosion studies. The synthesized PAOs exhibit low pour point (<−30°C) and high VI (120–150), making them suitable synthetic lubricant for various applications.
Physical activity in kindergarten, fundamental movement skills, and screen time in Spanish preschool children
Authors: Carballo‐Fazanes Aida , Díaz‐Pereira María P. , Fernández‐Villarino María A. , Abelairas‐Gómez Cristian , Rey Ezequiel 
Published: April 2023

AbstractSchools have been postulated as ideal environments to encourage physical activity (PA). This study aimed to assess the relationship between PA in school hours, motor competence, and screen time in a sample of Spanish preschool children. Fifty‐seven 4–5‐year‐old preschoolers (n = 32 girls) participated. The Garmin Vivofit wristband was used to measure the PA levels during school hours in a week. Sedentary behavior was estimated through screen‐time hours reported by preschoolers' families and motor competence was assessed by the Athletic Skills Track. The anthropometry (weight/height) and demographic data were also collected. We found that motor competence was significantly associated with PA both in minutes and in steps. Therefore, increased motor competence was related to higher engagement in PA during school hours. No association was found between screen time and PA or proficiency of motor competence. No gender differences were found in any variable assessed. Based on the relationship between motor competence proficiency and the amount of PA in preschool children, our findings support the need for specific strategies to promote fundamental movement skills and increase PA practice from early childhood.
Survey of physicians' and physiotherapists' ankle muscle strength assessment practices for safe return to sports after lateral ankle sprain: A short report
Authors: Aguilaniu Aude , Delvaux François , Schwartz Cédric , Martens Géraldine , Forthomme Bénédicte , Kaux Jean‐François , Croisier Jean‐Louis 
Published: April 2023

AbstractBackground and PurposeAnkle muscle strength is an important criterion to consider and assess for return to play (RTP) after lateral ankle sprain (LAS). This study therefore focuses on the reported ankle muscle strength consideration for RTP by physicians and physiotherapists, both clinicians involved in RTP decisions, and how they assess it in daily practice. The primary aim is to compare reported clinical practice on ankle muscle strength evaluation between physicians and physiotherapists. Our secondary aims are: to assess the prevalence of use of qualitative versus quantitative assessment and; to determine if there are any differences in how clinicians with or without a Sports Medicine or Physiotherapy Education approach this assessment.MethodsA survey on RTP criteria after LAS was completed by 109 physicians in a previous study. A number of 103 physiotherapists completed the same survey. A comparison between clinicians' answers was realized and additional questions on ankle muscle strength were analysed.ResultsPhysiotherapists consider ankle strength for RTP more than physicians (p < 0.001). A large majority of physicians (93%) and physiotherapists (92%) reported assessing ankle strength manually and less than 10% use a dynamometer. Physicians and physiotherapists with Sports Medicine or Physiotherapy Education selected more quantitative assessment than those without (p < 0.001).DiscussionDespite being recognized as an important criterion, ankle muscle strength is not always part of the RTP criteria after LAS in daily practice. The dynamometers are scarcely used by physicians and physiotherapists, whereas it could accurately quantify ankle strength deficits. Sports Medicine or Physiotherapy Education increases the use of quantitative ankle strength assessments by clinicians.
Synthetic Model Combination: A new machine‐learning method for pharmacometric model ensembling
Authors: Chan Alexander , Peck Richard , Gibbs Megan , van der Schaar Mihaela 
Published: April 2023

AbstractWhen aiming to make predictions over targets in the pharmacological setting, a data‐focused approach aims to learn models based on a collection of labeled examples. Unfortunately, data sharing is not always possible, and this can result in many different models trained on disparate populations, leading to the natural question of how best to use and combine them when making a new prediction. Previous work has focused on global model selection or ensembling, with the result of a single final model across the feature space. Machine‐learning models perform notoriously poorly on data outside their training domain, however, due to a problem known as covariate shift, and so we argue that when ensembling models the weightings for individual instances must reflect their respective domains—in other words, models that are more likely to have seen information on that instance should have more attention paid to them. We introduce a method for such an instance‐wise ensembling of models called Synthetic Model Combination (SMC), including a novel representation learning step for handling sparse high‐dimensional domains. We demonstrate the use of SMC on an example with dosing predictions for vancomycin, although emphasize the applicability of the method to any scenario involving the use of multiple models.
The effect of Andrographis paniculata water extract on palliative management of metastatic esophageal squamous cell carcinoma—A phase II clinical trial
Authors: Chiu Philip Wai‐Yan , Yue Grace Gar‐Lee , Cheung Man Kit , Yip Hon‐Chi , Chu Siu‐Kai , Yung Man‐Yee , Wu Justin Che‐Yuen , Chan Shannon Melissa , Teoh Anthony Yuen‐Bun , Ng Enders Kwok‐Wai , Norimoto Hisayoshi , Lau Clara Bik‐San 
Published: April 2023

AbstractPatients with metastatic esophageal squamous cell carcinoma (ESCC) have a grave prognosis with limited life expectancy. Here, a phase II clinical trial was conducted to investigate the effect of Andrographis paniculata (AP) on the palliative care of patients with metastatic ESCC. Patients with metastatic or locally advanced ESCC deemed unfit for surgery, and who have already completed palliative chemotherapy or chemoradiotherapy or are not fit for these treatments, were recruited. These patients were prescribed AP concentrated granules for 4 months. They also received clinical and quality of life assessments for clinical response, as well as positron emission tomography–computed tomography at 3 and 6 months after AP treatment for the assessment of tumor volume. Furthermore, the change in gut microbiota composition after AP treatment was studied. From the results, among the 30 recruited patients, 10 completed the entire course of AP treatment, while 20 received partial AP treatment. Patients who completed the AP treatment achieved significantly longer overall survival periods with the maintenance of the quality of life during the survival period when compared to those who could not complete AP treatment. The treatment effect of AP also contributed to the shift of the overall structure of gut microbiota for ESCC patients towards those of healthy individuals. The significance of this study is the establishment of AP as a safe and effective palliative treatment for patients with squamous cell carcinoma of the esophagus. To the best of our knowledge, this is the first clinical trial of AP water extract in esophageal cancer patients demonstrating its new medicinal use.
Cover Image
Authors: Ban Yanfei , Wang Yang , Qiao Liming , Zhang Chengzhong , Wang Hongrui , He Xuhui , Jia Dan , Zheng Chengjian 
Published: April 2023

The cover image is based on the Research Article Total lignans from Vitex negundo seeds attenuate osteoarthritis and their main component vitedoin A alleviates osteoclast differentiation by suppressing ERK/NFATc1 signaling by Yanfei Ban et al., https://doi.org/10.1002/ptr.7750.
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An observational view of rainfall characteristics and evaluation of ERA5 diurnal cycle in the Yarlung Tsangbo Grand Canyon, China
Authors: Chen Xuelong , Cao Dianbin , Liu Yajing , Xu Xin , Ma Yaoming 
Published: April 2023

AbstractThe Yarlung Tsangbo Grand Canyon (YGC), one of the world's deepest canyons, is located within the East Himalayas, which are remote and poorly instrumented. In this study, a rain gauge network was established around the YGC region. Data collected from the network for more than three years disclose that the rainfall spatial pattern in the south of the YGC region is relatively homogeneous. Diurnal cycles showed some variations among sites, but a clear floor was visible in the afternoon and peak values were exhibited in the early morning. The monthly precipitation in the YGC region shows two peaks, in April and July. There are two regions (500 m and 2,500 m AMSL) with high precipitation in the YGC. For rainfall extremes, vertical convection and vapor transport are important in this region. The diurnal cycle from our observations provides a key test of the physical parameterizations for use in the fifth‐generation ECMWF (European Centre for Medium‐Range Weather Forecasts) reanalysis product (ERA5). Our observations indicate that ERA5 cannot reproduce the diurnal patterns of precipitation in the YGC region. ERA5 showed a wet bias when estimating light cumulus rainfall and a dry bias when estimating heavier (convective) precipitation. The erroneous diurnal variation of ERA5 precipitation (false afternoon rainfall) was due to the CAPE (Convectively Available Potential Energy)‐based convective precipitation scheme. The higher ERA5 precipitation than observed was due to the large‐scale rainfall scheme in the Integrated Forecasting System (IFS) of ERA5. These findings indicate that there still is room for improvement of the ERA5 reanalysis data in the eastern Himalaya region.
Application of elemental analysis‐coupled isotope ratio mass spectrometry for protein turnover analysis using deuterium labeling: Purification and analysis of hydrogen isotope ratio of non‐derivatized protein‐bound alanine
Authors: Sumi Koichiro , Munakata Kinuyo , Nakagawa Mayuko , Yamada Keita , Yoshida Naohiro 
Published: April 2023

RationaleHeavy water can be used as a tracer for the evaluation of protein turnover. By adding heavy water (D2O) to the precursor pool, nonessential amino acids, including alanine, can be isotopically labeled in vivo. Protein turnover can then be quantified by measuring the hydrogen isotope ratio of protein‐bound alanine.MethodsIn this study, we constructed a novel method to apply deuterium labeling of alanine to the evaluation of protein turnover using elemental analysis‐coupled isotope ratio mass spectrometry (EA‐IRMS). We established a preparative high‐performance liquid chromatography method to isolate alanine from protein hydrolysates. EA‐IRMS was then used to determine the hydrogen isotope ratio of alanine isolated from hydrolysates of protein from mouse myoblast C2C12 cells that had been treated with D2O over the course of 72 h.ResultsIn cells treated with 4% D2O, the deuterium enrichment of alanine increased to approximately 0.9% over time, while that of cells treated with 0.017% D2O increased to approximately 0.006%. The rate of protein synthesis calculated by fitting the increase of deuterium excess to rise‐to‐plateau kinetics was similar regardless of the concentration of D2O. When C2C12 cells treated with insulin and rapamycin were analyzed 24 h after the addition of 0.017% D2O, protein turnover was found to be accelerated by insulin, but this effect was offset by co‐treatment with rapamycin.ConclusionThe derivative‐free measurement of the hydrogen isotope ratio of protein‐bound alanine using EA‐IRMS can be applied to the evaluation of protein turnover. The proposed method is an accessible option for many laboratories to perform highly sensitive IRMS‐based evaluations of protein metabolic turnover.
Robust exponential stability analysis of switched systems under switching boundary mismatch
Authors: Li Bingyun , Song Chunyue , Zhao Jun , Yu Jingxian 
Published: April 2023

AbstractSwitching boundary is an integral part of the switched system, but the existing literature on switched systems does not focus on the system under switching boundary mismatch. In this article, the switching boundary mismatch is considered, and the control strategy based on observation algorithm is designed for the state dependent switched system. By implementing the proposed strategy, the system can realize robust exponential stability and track the desired trajectory. Since the switching boundary mismatch is unmeasurable, an observation algorithm is designed. Combining the observation algorithm and iterative learning control law, the new control strategy can be derived. According to the Lyapunov stability theory and mode dependent average dwell time method, the robust exponential stability conditions of the closed‐loop system based on linear matrix inequalities are given. The mode dependent average dwell time of each subsystem can be solved simultaneously. Finally, simulations have been taken to verify the designed strategy can render the closed‐loop system achieve robust exponential stability and can track the desired trajectory.