bluuebunny/crossref_metadata_2025_split huggingface dataset:
Orthognathic surgery in a patient with osteogenesis imperfecta and low von Willebrand factor
Authors: Himejima Akio , Ueno Shuji , Yamada Koji , Kamitani Masayuki , Hosoyama Chikako , Iseki Tomio 
Published: March 2024

AbstractBackgroundThis report describes the case of a patient with jaw deformity, osteogenesis imperfecta (OI), and low von Willebrand factor (low VWF).Case presentationA 30‐year‐old woman with OI was referred for the treatment of prognathism of the lower jaw. Laboratory data showed that partial thromboplastin time was slightly increased, so additional testing was performed and revealed low VWF. The patient was then administered 1‐desamino‐8‐D‐arginine vasopressin before orthognathic surgery and experienced no hemorrhagic episodes perioperatively.ConclusionAs both OI patients and low VWF patients are at greater risk of hemorrhage, surgery in such cases should be performed with due consideration of and preparation for bleeding.
Effects of reactive diluent on processing, structure, and properties of epoxy foams and their sandwich composites
Authors: Wang Daobei , Wang Xiaowen , Han Kaiyang , Wang Dongzhi , Yao Zhiqiang , Yu Mingdong , Zhao Dajuan , Liu Huashi 
Published: March 2024

AbstractFoam sandwich composite (FSC) has recently been widely used in transportation, aerospace, shipping, and construction because of its lightweight, high specific strength, stiffness, and fatigue resistance characteristics. This study aimed to prepare, characterize, and test FSC with different diluent addition amounts. Benzyl glycidyl ester was added to the epoxy foam (EF) as a reactive diluent. Then, the EF was introduced into the three‐dimensional hollow composite (3DHC) by vacuum introduction process to prepare the FSC. Fourier transform infrared spectroscopy and thermogravimetric analysis demonstrated that increased diluent content enhanced SiN bond formation, augmenting thermal stability in resin molecules. The effects of different diluents on the mechanical properties of FSC showed that the mechanical properties of FSC were the best when the diluent content was 5 wt%. Compared with 3DHC, the flat compressive strength, flat tensile strength, and shear strength were increased by 7.2, 6.4, and 2.9 times, respectively.Highlights
Diluent improves foaming agent dispersion by lowering resin viscosity.
Diluent makes the EP easier to be introduced into 3DHC.
FSC demonstrates a 723% increase in flat compression strength.
Autism and neurodevelopmental disability risks in children with tracheostomies and ventilators
Authors: Sobotka Sarah A. , Lynch Emma , Liao Chuanhong , Graham Robert J. , Msall Michael E. 
Published: March 2024

AbstractBackground/ObjectiveInfants who survive prematurity and other critical illnesses and require continued invasive mechanical ventilation (IMV) postdischarge (at home) are at high risk of developmental delays and disabilities. Studies of extremely preterm cohorts (<28‐week gestation) demonstrate rates of 25% for intellectual disability (ID) and 7% for autism spectrum disorder (ASD). Rates of ASD and ID in children with IMV are unknown. This study aimed to determine neurodevelopmental disability risk in a cohort of children with postdischarge IMV.Design/MethodsA consecutive series of children with IMV were assessed 1 month, 6 months, and 1 year after discharge. Cognitive, social, and communicative domains were assessed by a Developmental and Behavioral Pediatrician using (1) clinical adaptive test/clinical linguistic and auditory milestone scale (CAT/CLAMS) of the capute scales; (2) pediatric evaluation of disability inventory computer adaptive test (PEDI‐CAT); and (3) modified checklist for autism in toddlers, revised (MCHAT‐R). Red flag signs and symptoms of ASD using DSM‐V criteria were noted. Longitudinal testing was reviewed. Expert consensus impressions of evolving ASD and/or ID were determined.ResultsEighteen children were followed for 1 year; at 1 year, the median age (range) was 23 (17–42) months. Children were 44% male, 33% non‐Hispanic White, 39% non‐Hispanic Black, and 28% Hispanic. Fifteen (83%) children were prematurity survivors. Median (range) developmental quotients (DQs): full‐scale DQ 59 (11–86), CAT DQ 66.5 (8–96), and CLAMS DQ 49.5 (13–100). Twelve (67%) children were highly suspicious for ASD and/or evolving ID.Conclusions/SignificanceThis cohort of children with at‐home IMV demonstrates a higher risk of ASD and ID than prior premature cohorts. Larger investigations with longer follow‐up are needed.
“If you smile, they smile”: Explaining highly educated migrants' feelings of being welcome in the Euregio Meuse‐Rhine
Authors: Reinold Julia , Hooijen Inge , Özer Merve 
Published: March 2024

AbstractCreating a welcoming environment is high on policy makers' agendas to attract highly educated migrants. It is unclear, however, which factors contribute to migrants' feelings of being welcome in the host country. This paper addresses this knowledge gap by exploring the factors influencing highly educated migrants' feelings of being welcome in the host country. We develop a conceptual framework that differentiates between the host country's institutional (e.g., public services for migrants) and societal (e.g., tolerance, friendliness) incorporation capacity and the migrants' personal incorporation capacity (e.g., personality traits). The study follows a mixed methods research design using survey data (n = 391) and serial interviews (wave1: n = 67; wave2: n = 49) with highly educated migrants in the Euregio Meuse‐Rhine, a cross‐border region between the Netherlands, Belgium and Germany. The quantitative and qualitative findings indicate that all three indicators of the incorporation capacity framework contribute to migrants' feelings of being welcome in the host country. The societal incorporation capacity emerges as most important in the analysis. Lastly, interview findings emphasise the importance of language across all incorporation capacity dimensions. The paper contributes to the literature on high‐skilled migration, and particularly on high‐skilled migrants' experiences in the host country.
New horizons for the study of saffron (Crocus sativus L.) and its active ingredients in the management of neurological and psychiatric disorders: A systematic review of clinical evidence and mechanisms
Authors: Han Shufen , Cao Yifei , Wu Xingrong , Xu Jiaoyang , Nie Zizheng , Qiu Yue 
Published: March 2024

AbstractSaffron (Crocus sativus), as an herbal medicine, has been extensively investigated for treating neurological and psychiatric disorders. This systematic review aimed to assess the overall effects of saffron on cognition, depression, anxiety, sleep disorders, attention‐deficit/hyperactivity disorder (ADHD), and obsessive–compulsive disorder (OCD). Relevant randomized controlled trials (RCTs) were identified by searching PubMed/Medline, Web of Science, and Clinical Trials databases up to June 2023 according to search terms and inclusion criteria. The participants were either healthy or suffering from some diseases, including neurological and psychiatric disorders, and consumed saffron or its extracts as an intervention. The risk of bias was assessed according to the Cochrane guidelines, and the PRISMA statement was followed. The meta‐analysis was performed using RevMan and STATA software. A random‐effects or fixed‐effects model was used to calculate the pooled effect sizes. Forty‐six RCTs were enrolled, and the duration of these trials ranged from 4 to 48 weeks with saffron or its extracts, both alone or in combination with conventional drugs. Saffron was more effective than placebo in improving cognition, depression with an overall effect size of −4.26 (95% CI: −5.76, −2.77), anxiety of −3.75 (95% CI: −5.83, −1.67), and sleep disorders of −1.91 (95% CI: −2.88, −0.93). Saffron was non‐inferior to conventional drugs for treating cognitive disorders, depression, anxiety, ADHD, and OCD, and it exhibited good tolerance with few side effects. Saffron may exert protective roles for neurological and psychiatric disorders and represents a relatively favorable and safe treatment.
Fault prognosis for linear stochastic systems with intermittent fault and strong noise via health indicator extraction approach
Authors: Huai Wuxiang , Gao Ming , Liu Shiyang , Sheng Li 
Published: March 2024

AbstractIn this paper, the problem of fault prognosis is investigated for linear stochastic systems with intermittent faults (IFs) and strong noise. Different from permanent faults, the degradation state of IFs are related to the fault duration time, leading to difficulties in the first step of fault prognosis, that is, the health indicator (HI) extraction. Generally, HI extraction of IFs is achieved by fault detection techniques. Therefore, the proposed fault prognosis approach mainly covers the following steps. First, the HI and degradation model are introduced for linear stochastic systems with IFs. Then, considering dynamic characteristic of systems and influence of strong noise, an IF detection algorithm under strong noise is proposed using weighted moving average methods to extract the HI. Moreover, an alternative HI extraction approach is given by an HI estimation way, which avoids using fault detection techniques. Subsequently, the degradation model is fitted by virtue of HIs and the least square method, and the remaining useful life is predicted with the aid of the obtained model. Finally, an experiment concerning the rotary steerable drilling tool system is provided to verify the effectiveness of the derived results.
Atom Mediated Single‐Photon Nonlinearity in a Quadratically Coupled Optomechanical System
Authors: Liu Q. H. , Wang G. C. , Luan T. Z. , Shen H. Z. 
Published: March 2024

AbstractIn this paper, conventional phonon blockade (CPNB) and conventional photon blockade (CPTB) effects, as well as unconventional phonon blockade (UPB) effects, are studied in an optomechanical system with nonlinear interaction between the cavity frequency and the square of the mechanical displacement driven by an external field, where a two‐level atom couples with the mechanical mode and a microwave driving field pumps cavity mode. The second‐order correlation function is analytically calculated, which is in good agreement with the numerical simulation given by the master equation. With energy‐level diagram, the atom‐mechanical mode coupling is found to induces the degeneracy splitting of the states and give the optimal conditions for CPNB and CPTB in this system. With the origin of UPB, the optimal conditions are derived and it is found that the realization of UPB is determined by the two couplings of the cavity and atom with respect to the mechanical mode. Moreover, some discussions on the experimental implementation in this quadratically coupled optomechanical system are presented. This study provides a possible way for realizing single‐photon nonlinearity and can extend the applications of optomechanical systems in the field of quantum optics.
Juvenile salmonid abundance in a diamictic semi‐fluvial stream in Norway—does stream bed shelter beat large woody debris?
Authors: Bretzel Joachim B. , Pulg Ulrich , Geist Juergen 
Published: March 2024

AbstractThis study investigates the effect of large woody debris (LWD) on the abundance of juvenile Atlantic salmon (Salmo salar, L.) and anadromous brown trout (Salmo trutta, L.) in semi‐alluvial side channels of the river Aurlandselva (Norway) using point electrofishing and microhabitat mapping. Not the presence of LWD, but stream bed shelter availability and the distance to spawning grounds affected the fish abundance (fish/point), independent of other habitat components. LWD showed only an effect on fish abundance when in interaction with other habitat components. This discrepancy can be explained by the availability of cavities in the shelter‐rich coarse substrate which provide sufficient cover and territory for juvenile fish at the given carrying capacity of river Aurlandselva. Whilst LWD may be most effective to provide shelter in lowland streams (bed slope <0.005), maintaining or restoring shelter‐rich coarse substrates should be considered a key priority in steeper salmonid rivers and associated semi‐fluvial streams.
Understanding consumer choices and attitudes toward electric vehicles: A study of purchasing behavior and policy implications
Authors: Gautam Deepak , Bolia Nomesh 
Published: March 2024

AbstractElectric vehicles (EVs) hold promise for curbing emissions and promoting sustainable urban development in India, aligning with Sustainable Development Goals (SDGs). However, their uptake remains below expectations. This study delves into factors influencing EV adoption, exploring socioeconomic determinants, technical specifications, cost considerations, and policy impacts. It also assesses the role of charging infrastructure accessibility, demographic disparities, and battery end‐of‐life perceptions. The research identifies key socio‐economic factors driving consumer choices and perceptions of EVs through a comprehensive survey and logistic regression analysis. The findings will guide policymakers and businesses in developing effective strategies to promote EV use, supporting SDGs related to sustainable cities, communities, and economic growth. The insights gained from this study can inspire private sector growth and innovation, leading to new business opportunities that benefit companies and consumers. This research represents a crucial milestone in advancing sustainable transportation solutions in India and creating a better future.
When experiencing nice interactions at work: Good sleep quality via well‐being
Authors: Yun Mansik , Beehr Terry 
Published: March 2024

AbstractBased on the Work–Home Resources Model and Conservation of Resources Theory, we develop dual mechanisms by which nice interactions (patients' compliments and coworkers' informational support) predict sleep quality. Specifically, we expect these nice interactions to help individuals conserve their personal energy in the form of less cognitive depletion (a cognitive process) and diminished physical fatigue (a physical process). Further, we propose employees utilise their energy resources to experience better sleep quality. To test the proposed model, we utilised an experience‐sampling method by recruiting 223 female nurses working in a regional university hospital in South Korea. Specifically, we measured nice interactions and personal resources at 3 PM on Day t and sleep quality at 5–6 AM on Day t + 1, and we administered the questionnaire for 10 consecutive days. Overall, after removing 79 invalid observations (not completing questionnaire in a timely manner), we had a final total of two‐wave 1997 daily observations from 223 nurses. Receiving more compliments from patients and more information from coworkers positively affects nurses' cognitive energy (less cognitive depletion) and physical energy (less physical fatigue), which predicts better sleep quality. Finally, results supported indirect effects of these nice interactions on sleep quality via cognitive and physical processes.
Cognitively Driven Autonomous Flow Chemistry for Producing On‐Demand Perovskite Quantum Dots Via Advanced Closed‐Loop Feedback Control
Authors: Nguyen Thi Thuy Huong , Bui Hoang Khang , Im Ju Yeon , Seo Tae Seok 
Published: March 2024

AbstractRecent developments in the synthesis of hybrid organic–inorganic halide perovskite quantum dots (HP‐QDs) through compositional adjustments have highlighted their potential applications in the fields of photovoltaics and light sources due to their unique optoelectronic properties. However, traditional methods to fine‐tune their composition involve repetitive, labor‐intensive, and costly processes. Herein, the utilization of a continuous flow chemistry approach is developed, in combination with a Proportional‐Integral (PI) feedback control system as an effective method for producing on‐demand methylammonium lead bromoiodide (MAPbBrxI3‐x) HP‐QDs. The PI feedback control allows for real‐time optimization of the flow rates of halide precursor solutions (halide PSs), enabling the precise tuning of the emission wavelength of HP‐QDs. HP‐QDs having an emission wavelength of 550 and 650 nm are synthesized through a blue‐shifted and red‐shifted algorithm, respectively, from any arbitrary reaction condition within 400 s. The iterative process through the PI feedback control produces the target HP‐QDs with short rise time and low overshoot. The proposed automatic flow chemistry system integrated with a universal and accessible control algorithm of PI can generate the target HP‐QDs with high accuracy, stability, and robustness, demonstrating a significant advancement in constructing an autonomous flow chemistry synthetic system.
Fly: Femtolet‐based edge‐cloud framework for crop yield prediction using bidirectional long short‐term memory
Authors: Dey Tanushree , Bera Somnath , Paul Bachchu , De Debashis , Mukherjee Anwesha , Buyya Rajkumar 
Published: March 2024

AbstractCrop yield prediction is a crucial area in agriculture that has a large impact on the economy of a country. This article proposes a crop yield prediction framework based on Internet of Things and edge computing. We have used a fifth generation network device referred to as femtolet as the edge device. The femtolet is a small cell base station that has high storage and high processing ability. The sensor nodes collect the soil and environmental data, and then the collected data is sent to the femtolet through the microcontrollers. The femtolet retrieves the weather‐related data from the cloud, and then processes the sensor data and weather‐related data using Bi‐LSTM. The femtolet after processing the data sends the generated results to the cloud. The user can access the results from the cloud to predict the suitable crop for his/her land. This is observed that the suggested framework provides better accuracy, precision, recall, and F1‐score compared to the state‐of‐the‐art crop yield prediction frameworks. This is also demonstrated that the use of femtolet reduces the latency by ˜25% than the conventional edge‐cloud framework.
Role of M4‐receptor cholinergic signaling in direct pathway striatal projection neurons during dopamine depletion
Authors: Avilés‐Rosas V. H. , Rendón‐Ochoa E. A. , Hernández‐Flores T. , Flores‐León M. , Arias C. , Galarraga E. , Bargas J. 
Published: March 2024

AbstractDirect pathway striatal projection neurons (dSPNs) are characterized by the expression of dopamine (DA) class 1 receptors (D1R), as well as cholinergic muscarinic M1 and M4 receptors (M1R, M4R). D1R enhances neuronal firing through phosphorylation of voltage‐gate calcium channels (CaV1 Ca2+ channels) activating Gs proteins and protein kinase A (PKA). Concurrently, PKA suppresses phosphatase PP‐1 through DARPP‐32, thus extending this facilitatory modulation. M1R also influences Ca2+ channels in SPNs through Gq proteins and protein kinase C. However, the signaling mechanisms of M4R in dSPNs are less understood. Two pathways are attributed to M4R: an inhibitory one through Gi/o proteins, and a facilitatory one via the cyclin Cdk5. Our study reveals that a previously observed facilitatory modulation via CaV1 Ca2+ channels is linked to the Cdk5 pathway in dSPNs. This result could be significant in treating parkinsonism. Therefore, we questioned whether this effect persists post DA‐depletion in experimental parkinsonism. Our findings indicate that in such conditions, M4R activation leads to a decrease in Ca2+ current and an increased M4R protein level, contrasting with the control response. Nevertheless, parkinsonian and control actions are inhibited by the Cdk5 inhibitor roscovitine, suggesting Cdk5's role in both conditions. Cdk5 may activate PP‐1 via PKA inhibition in DA depletion. Indeed, we found that inhibiting PP‐1 restores control M4R actions, implying that PP‐1 is overly active via M4Rs in DA‐depleted condition. These insights contribute to understanding how DA‐depletion alters modulatory signaling in striatal neurons. Additional working hypotheses are discussed.
Clinical practice guideline on bladder cancer (Part II)
Authors: Dong Xiying , Song Gang , Guan Kaopeng , Wang Tie , Feng Xiaoli , Liu Yulin , Liu Min , Ji Zhigang , Li Xiao , Li Jiongming , Zhang Yong , Zhou Fangjian , Zhou Aiping , Xu Wanhai , Xu Tao , Gao Xianshu , Zhai Qing , Wei Qiang , Xing Nianzeng 
Published: March 2024

AbstractBladder cancer (BC) is an increasingly common malignancy in China, with an incidence rate of 5.80 per 100 000 in 2015, making it the thirteenth most common cancer in the country. This trend underscores the urgent need for standardized diagnosis and treatment protocols. In terms of treatment, approaches for bladder cancer vary based on the cancer's stage and pathology, as well as the patient's overall health. Notably, non‐muscle‐invasive BC (NMIBC) confined to the mucosa (Ta) and lamina propria (T1) without invading the muscle represents about 75% of all BC cases. Succeeding the first part of the guideline, this part of the clinical practice guideline focuses on NMIBC. It details risk classifications and treatment options, including both surgical procedures and posttransurethral resection of the bladder tumor intravesical instillations. Special attention is given to the treatment strategies for carcinoma in situ. The guideline also covers the recommended follow‐up procedures for patients with NMIBC, underscoring the need for thorough and continuous care management.
The time validity of Philip's two‐term infiltration equation: An elusive theoretical quantity?
Authors: Vrugt Jasper A. , Hopmans Jan W. , Gao Yifu , Rahmati Mehdi , Vanderborght Jan , Vereecken Harry 
Published: March 2024

AbstractThe two‐term infiltration equation is commonly used to determine the sorptivity, , and product, , of the dimensionless multiple and saturated soil hydraulic conductivity from cumulative vertical infiltration measurements (L) at times (T). This reduced form of the quasi‐analytical power series solution of Richardson's equation of Philip enjoys a solid physical underpinning but at the expense of a limited time validity. Using simulated infiltration data, Jaiswal et al. have shown this time validity to equal about 2.5 cm of cumulative infiltration. The goals of this work are twofold. First, we investigate the extent to which cumulative infiltration measurements larger than 2.5 cm bias the estimates of and . Second, we investigate the impact of epistemic errors on the inferred time validities and parameters. Partial infiltration curves up to 2.5 cm of cumulative vertical infiltration improve substantially the agreement between actual and least squares estimates of and . But this only holds if the data generating infiltration process follows Richardson's equation and experimental conditions satisfy assumptions of soil homogeneity and a uniform initial water content. Otherwise, autocorrelated cumulative infiltration residuals will bias the least squares estimates of and . Our findings reiterate and reinvigorate earlier conclusions of Haverkamp et al. and show that epistemic errors deteriorate the physical significance of the coefficients of infiltration functions. As a result, the parameters of infiltration functions cannot simply be used in storm water and vadose zone flow models to forecast runoff and recharge at field and landscape scales unless these predictions are accompanied by realistic uncertainty bounds. We conclude that the time validity of Philip's two‐term equation is an elusive theoretical quantity with arbitrary physical meaning.