bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fabrication of thin-film batteries composed of LiCoO2, Li3PO4, and Li layers
Authors: Ohnishi Tsuyoshi 
Published: April 2024

AbstractThis paper reports the fabrication of thin-film batteries which are composed of three stacking layers: LiCoO2, Li3PO4, and Li. First, a LiCoO2 layer is constructed on an electron-conductive substrate by pulsed laser deposition as a cathode. The crystallinity of the LiCoO2 layer is mainly controlled by the cationic ratio of Li and Co. Subsequently, an amorphous Li3PO4 layer with a high ionic conductivity is further deposited on the cathode LiCoO2 layer by radio frequency magnetron sputtering as a solid electrolyte. To avoid any possible damage which causes the formation of resistive species between LiCoO2 and Li3PO4, bias control of the substrate during Li3PO4 deposition is essential. Finally, a Li metal layer is deposited as an anode/current collector on the Li3PO4/LiCoO2 bilayer by resistive heating evaporation in a vacuum at an elevated temperature for the formation of a low resistive interface. The fabricated three-layer thin-film battery shows a high-rate capability when the LiCoO2 layer is a (104)-oriented epitaxial film.
Automated systems for diagnosis of dysgraphia in children: a survey and novel framework
Authors: Kunhoth Jayakanth , Al-Maadeed Somaya , Kunhoth Suchithra , Akbari Younes , Saleh Moutaz 
Published: April 2024

AbstractLearning disabilities, which primarily interfere with basic learning skills such as reading, writing, and math, are known to affect around 10% of children in the world. The poor motor skills and motor coordination as part of the neurodevelopmental disorder can become a causative factor for the difficulty in learning to write (dysgraphia), hindering the academic track of an individual. The signs and symptoms of dysgraphia include but are not limited to irregular handwriting, improper handling of writing medium, slow or labored writing, unusual hand position, etc. The widely accepted assessment criterion for all types of learning disabilities including dysgraphia has traditionally relied on examinations conducted by medical expert. However, in recent years, artificial intelligence has been employed to develop diagnostic systems for learning disabilities, utilizing diverse modalities of data, including handwriting analysis. This work presents a review of the existing automated dysgraphia diagnosis systems for children in the literature. The main focus of the work is to review artificial intelligence-based systems for dysgraphia diagnosis in children. This work discusses the data collection method, important handwriting features, and machine learning algorithms employed in the literature for the diagnosis of dysgraphia. Apart from that, this article discusses some of the non-artificial intelligence-based automated systems. Furthermore, this article discusses the drawbacks of existing systems and proposes a novel framework for dysgraphia diagnosis and assistance evaluation.
Experimenter bias: exploring the interaction between participant’s and investigator’s gender/sex in VR
Authors: Maneuvrier Arthur 
Published: April 2024

AbstractThis study explores the effect of the experimenter’s gender/sex and its interaction with the participant’s gender/sex as potential contributors to the replicability crisis, particularly in the man-gendered domain of VR. 75 young men and women from Western France were randomly evaluated by either a man or a woman during a 13-min immersion in a first-person shooter game. Self-administered questionnaires were used to measure variables commonly assessed during VR experiments (sense of presence, cybersickness, video game experience, flow). MANOVAs, ANOVAs and post-hoc comparisons were used. Results indicate that men and women differ in their reports of cybersickness and video game experience when rated by men, whereas they report similar measures when rated by women. These findings are interpreted as consequences of the psychosocial stress triggered by the interaction between the two genders/sexes, as well as the gender conformity effect induced, particularly in women, by the presence of a man in a masculine domain. Corroborating this interpretation, the subjective measure of flow, which is not linked to video games and/or computers, does not seem to be affected by this experimental effect. Methodological precautions are highlighted, notably the brief systematic description of the experimenter, and future exploratory and confirmatory studies are outlined.Graphical abstract
A soft ground micro TBM’s specific energy prediction using an eXplainable neural network through Shapley additive explanation and Optuna
Authors: Kilic Kursat , Ikeda Hajime , Narihiro Owada , Adachi Tsuyoshi , Kawamura Youhei 
Published: April 2024

AbstractIn tunnel construction, efficiently predicting the energy usage of tunnel boring machines (TBMs) is critical for optimizing operations and reducing costs. This research proposes a novel method for predicting the specific energy of micro slurry tunnel boring machines (MSTBMs) using an explainable neural network (xNN) that leverages operator-monitored data. The xNN model provides transparency and interpretability by integrating the Shapley additive explanation (SHAP) technique, enabling tunneling engineers and operators to gain valuable insights into the prediction process. Extensive data from MSTBM umbrella pipe support excavation are the foundation for training, testing, and unseen data in the xNN model. The specific energy formula derived from the operational parameters of the MSTBM defines the dependent variable for the xNN model. The test dataset evaluates the model’s performance with an R² of 98.7%, an MSE of 2.40, and an MAE of 0.003, demonstrating its accuracy and reliability. Ten percent of the dataset was reserved as unseen data to assess the model’s generalization capabilities. Upon evaluation, the model achieved an R2 value of 89%, an MAE of 0.01, and a root mean squared error (RMSE) of 0.01. The xNN empowers operators to optimize operational parameters and promote more efficient and sustainable tunneling practices by identifying influential factors affecting energy consumption through its interpretable nature. This research has significant implications for the future of underground construction, paving the way for improved resource management.
Local and global stressors as major drivers of the drastic regression of brown macroalgae forests in an oceanic island
Authors: Valdazo José , Coca Josep , Haroun Ricardo , Bergasa Oscar , Viera-Rodríguez María Ascensión , Tuya Fernando 
Published: April 2024

AbstractSimilar to other coastal regions worldwide, forests created by brown macroalgae have severely declined in recent decades across the Macaronesian oceanic archipelagos (northeastern Atlantic), eroding the provision of ecosystem services. However, the putative effects of natural and anthropogenic stressors (both local and global) on such declines across spatial and temporal scales remain unresolved. Our research endeavored to investigate the connection between local and global stressors and the distribution and extent of the brown macroalgae Gongolaria abies-marina in the rocky intertidal and adjacent subtidal zones of Gran Canaria over the past four decades. We also quantified the presence of populations at small scales, according to local micro-habitat topography (“open rock” versus “refuge”). Through herbarium records, we additionally analyzed the historical variation in the thallus size of the species. Finally, we experimentally assessed the thermotolerance of embryonic stages to warming. The main environmental drivers explaining the regression of G.abies-marina were the increasing number of marine heatwaves, while the number of local human impacts (quantified through the HAPI index) also accounted for further regression in the extent of marine forests. Warming experimentally reduced the survival and size of macroalgal embryos. A progressive miniaturization of the species, currently restricted to micro-habitat refuges as a survival strategy, seems likely to be the final stage in the progressive disappearance of this macroalgae from the island’s rocky shores.
Increasing overall agricultural productivity in the Yellow River Delta Eco-economic Zone in China
Authors: Su Weijian , Magdziarczyk Małgorzata , Smolinski Adam 
Published: April 2024

AbstractImproving the efficiency of agricultural production in infertile areas contributes to reducing hunger, ensuring food security, and promoting eco-economic development. This study examines the effects and mechanisms of the Yellow River Delta High Efficiency Ecological Economic Zone policy on agricultural total factor productivity. The data from prefecture-level cities and a difference-in-difference model were used, and descriptive statistics and multiple regression analysis were conducted. The results show that the establishment of the zone increased agricultural total factor productivity by 40%. Heterogeneity analysis reveals that this positive effect is particularly pronounced in regions with a high proportion of agriculture and high per capita disposable income. However, this effect has diminished year by year since 2010. Mechanism tests suggest that the increase in agricultural R&D, the improvement in mechanization, and the application of ecological technologies have boosted agricultural total factor productivity. The results confirm the positive effects of the ecological economic zone policy and highlight the need for further measures to maintain and increase these positive effects in the long term. Future research should explore specific micro-management and technological measures to improve agricultural performance.
A Quick Method to Assess Airway Distensibility in Mice
Authors: Gill Rebecka , Boucher Magali , Henry Cyndi , Bossé Ynuk 
Published: April 2024

AbstractAirway distensibility is defined as the ease whereby airways are dilating in response to inflating lung pressure. If measured swiftly and accurately, airway distensibility would be a useful readout to parse the various elements contributing to airway wall stiffening, such as smooth muscle contraction, surface tension, and airway remodeling. The goal of the present study was to develop a method for measuring airway distensibility in mice. Lungs of BALB/c and C57BL/6 mice from either sex were subjected to stepwise changes in pressure. At each pressure step, an oscillometric perturbation was used to measure the impedance spectrum, on which the constant-phase model was fitted to deduce a surrogate for airway caliber called Newtonian conductance (GN). The change in GN over the change in pressure was subsequently used as an index of airway distensibility. An additional group of mice was infused with methacholine to confirm that smooth muscle contraction changes airway distensibility. GN increased with increasing steps in pressure, suggesting that the extent to which this occurs can be used as an index of airway distensibility. Airway distensibility was greater in BALB/c than C57BL/6 mice, and its variation by sex was mouse strain dependent, being greater in female than male in BALB/c mice with an inverse trend in C57BL/6 mice. Airway distensibility was also decreased by methacholine. This novel method swiftly measures airway distensibility in mice. Airway distensibility was also shown to vary with sex and mouse strain and to be sensitive to the contraction of smooth muscle.
Vertical spanning wall elastically restrained at the top: validation and parametric dynamic analysis
Authors: Destro Bisol Giacomo , Prajapati Sanjeev , Sorrentino Luigi , AlShawa Omar 
Published: April 2024

AbstractIn unreinforced masonry structures, among the most dangerous events that can occur during earthquakes are the out-of-plane mechanisms. This type of response significantly changes if the wall is restrained by a horizontal element. The collapse, in this case, could take place for slipping/failure of the diaphragm connection or for overturning of the wall, following the formation of a crack at an intermediate height between the base and the top. A specific analytical model is used to capture the complex dynamic behavior of the wall, formed by two stacked rigid bodies (free to rock) with the top one connected to a flexible diaphragm. The model is calibrated using experimental data available in the literature and it is then used to carry out a dynamic parametric analysis. The variation range of relevant parameters refers to the building features surveyed in Emilia-Romagna region, Italy, and their effect on the global response of the system is investigated. Further, the influence of ground motion is considered, using different ground accelerations. The results of the analysis highlight that, for the considered area and return period, the maximum rotations of the system are significant only for large slenderness values. Further, the investigation shows that the diaphragm plays a crucial role in the dynamic response of the system. The stiffness of the diaphragm can significantly reduce the rotations and consequently the risk of overturning. Additionally, the study on the effect of the wall size pointed out how a top spring causes a reverse scale effect.
Sustainable 3D printing with alkali-treated hemp fiber-reinforced polycarbonate composites
Authors: Ceylan İrem , Çakıcı Alp Neşe , Aytaç Ayşe 
Published: April 2024

AbstractThe study investigated the properties of alkali-treated hemp fiber-reinforced polycarbonate (PC) composites that can be formed by 3D printers for architectural applications. To determine the optimum alkali treatment to be applied to the fibers, the properties of the samples treated with 5% and 7% sodium hydroxide (NaOH) at both ambient temperature (AT) and 120 °C (HT) were determined by Fourier transform infrared spectroscopy (FTIR) and thermogravimetric analysis (TGA). It was determined that the alkali treatment that gave the optimum result was 5% HT. Composite specimens with fiber/matrix ratios of 10/90, 20/80, and 30/70 were prepared in filament form to be printed in a 3D printer as alkali-treated and untreated. These composites were characterized by conducting tensile strength, FTIR, differential scanning calorimetry (DSC), TGA, and scanning electron microscopy (SEM) analyses. Tensile strength results revealed the highest mechanical performance for 5% NaOH alkali-treated and 10 wt.% hemp fiber-reinforced PC composites. DSC results showed that slight changes occurred in the glass transition temperature values. Furthermore, SEM analysis showed that 5% NaOH-treated hemp fibers have better interfacial bonding with the PC matrix than untreated fibers. As a result, more natural and sustainable materials have been obtained for architectural applications without significantly decreasing in PC properties.
Assessing Temperament Risk Factors in Late Childhood and Early Adolescence: Development and Validation of the Integrative Late Childhood Temperament Inventory
Authors: Biedermann Vivienne , Zentner Marcel 
Published: April 2024

AbstractChildhood temperament has a well-documented influence on later life outcomes, notably behavior problems, quality of interpersonal relationships, and academic achievement. However, there is at present a lack of brief measures that assess temperament characteristics which are represented across models of temperament in the late childhood and early adolescence period. To redress this gap, the aim of the current study was to develop and validate a short questionnaire that extends an earlier integrative measure of temperament, the Integrative Child Temperament Inventory (ICTI) to the late childhood period. The new measure (named Integrative Late Childhood Temperament Inventory, ILCTI) includes all five components of the ICTI (frustration, behavioral inhibition, attention/persistence, activity level, sensory sensitivity), plus affiliation. German- or English-speaking parents rated a total of 525 children, aged 8 to 14 years. Confirmatory factor analyses supported the predicted structure of the new measure. Examination of fit indices and psychometric analyses showed that 24 items are sufficient to capture all six dimensions reliably. Next to convergent validity with established measures of temperament and personality, we also present analyses of associations with measures of externalizing problems, internalizing problems, and school failure all of which support the instrument’s clinical utility. Thus, despite its brevity, the ILCTI is a reliable and valid measure of late childhood temperament that can be helpful in assessing risk of developing behavior problems or school failure.
Recovery-oriented care in Teams Working with the ART Model in long-term Mental Health care: A Qualitative Study on the Experiences of Service Users and Their Significant Others
Authors: Zomer Lieke , van der Meer Lisette , van Weeghel Jaap , Widdershoven Guy , de Jong Isa , Voskes Yolande 
Published: April 2024

AbstractThe Active Recovery Triad (ART) model provides a framework for recovery-oriented care in long-term mental health settings. The aim of this study is to gain insight into the experiences and views of service users and their significant others regarding care and support they receive from teams working with the ART model. Semi-structured interviews were performed with nineteen service users and five significant others of teams operating in Dutch long-term mental health care. Data were analyzed using thematic analysis. The three core principles of the ART model formed the deductive basis of the analysis and for every principle themes were identified inductively. Under the principle ‘Active’, service users mentioned that they feel motivated, work actively on personal recovery goals and have dreams for the future. Service users valued the service as a safe environment, but several service users also preferred to live more independently. Under the principle ‘Recovery’, participants reported how the dimensions of recovery (health, personal identity, daily life and community functioning) were addressed in care and support. Also, specific conditions for recovery-oriented care were identified, for example regarding specific expertise of care providers. Under the principle ‘Triad’ the support from significant others, contact with care workers and with other service users were identified as important. The insights regarding what is important for service users and their significant others may contribute to the improvement of care and support in long-term mental health care. In addition, the findings of this study provide directions for the further development of the ART model.
Aspects and outcomes of surveillance for individuals at high-risk of pancreatic cancer
Authors: Bogdanski Aleksander M. , van Hooft Jeanin E. , Boekestijn Bas , Bonsing Bert A. , Wasser Martin N. J. M. , Klatte Derk C. F. , van Leerdam Monique E. 
Published: April 2024

AbstractPancreatic ductal adenocarcinoma (PDAC) is a leading cause of cancer-related deaths and is associated with a poor prognosis. The majority of these cancers are detected at a late stage, contributing to the bad prognosis. This underscores the need for novel, enhanced early detection strategies to improve the outcomes. While population-based screening is not recommended due to the relatively low incidence of PDAC, surveillance is recommended for individuals at high risk for PDAC due to their increased incidence of the disease. However, the outcomes of pancreatic cancer surveillance in high-risk individuals are not sorted out yet. In this review, we will address the identification of individuals at high risk for PDAC, discuss the objectives and targets of surveillance, outline how surveillance programs are organized, summarize the outcomes of high-risk individuals undergoing pancreatic cancer surveillance, and conclude with a future perspective on pancreatic cancer surveillance and novel developments.
Enhancement of the Lee–Kesler–Plöcker Equation of State for Calculating Thermodynamic Properties of Long-Chain Alkanes
Authors: Sabozin Fabian , Jäger Andreas , Thol Monika 
Published: April 2024

AbstractTwo optimization approaches to correct the physical limitations of the Lee–Kesler–Plöcker equation of state for the application to long-chain hydrocarbons are presented. The quality of the approaches is evaluated by comparisons with experimental data and reference equations of state. The calculation of thermodynamic properties for alkanes up to squalane is possible with both approaches, for some of which no highly accurate fundamental equation of state is available in the literature. For the first approach, the original parameter set was refitted with constraints guaranteeing correct behavior of the equation in the liquid state. The densities of long-chain hydrocarbons are reproduced with small deviations, while the results for some short-chain alkanes are worsened. For the second approach, existing Helmholtz energy equations of state are utilized, while keeping the linear interpolation scheme via the acentric factor. Significant improvements are achieved for all fluids considered.
Ocular manifestations of liver disease: an important diagnostic aid
Authors: Patel Riya , Nair Smriti , Choudhry Hassaam , Jaffry Mustafa , Dastjerdi Mohammad 
Published: April 2024

Abstract
Purpose
This review examined existing literature to determine various ocular manifestations of liver pathologies, with a focus on metabolic deficiencies as well as viral and immune liver conditions.

Methods
Recent data were compiled from PubMed from 2000 to 2020 using keywords that were relevant to the assessed pathologies. Ocular presentations of several liver pathologies were researched and then summarized in a comprehensive form.

Results
Several ocular manifestations of liver disease were related to vitamin A deficiency, as liver disease is associated with impaired vitamin A homeostasis. Alcoholic liver cirrhosis can result in vitamin A deficiency, presenting with Bitot spots, xerosis, and corneal necrosis. Congenital liver diseases such as mucopolysaccharidoses and peroxisomal disorders are also linked with ocular signs. Viral causes of liver disease have associations with conditions like retinal vasculitis, keratoconjunctivitis sicca, retinopathies, Mooren’s ulcer, and Sjogren’s syndrome. Autoimmune hepatitis has been linked to peripheral ulcerative keratitis and uveitis.

Conclusions
Building strong associations between ocular and liver pathology will allow for early detection of such conditions, leading to the early implementation of management strategies. While this review outlines several of the existing connections between hepatic and ophthalmic disease, further research is needed in the area in order to strengthen these associations.
Optimization of laser annealing parameters based on bayesian reinforcement learning
Authors: Chang Chung-Yuan , Feng Yen-Wei , Rawat Tejender Singh , Chen Shih-Wei , Lin Albert Shihchun 
Published: April 2024

AbstractDeveloping new semiconductor processes consumes tremendous time and cost. Therefore, we applied Bayesian reinforcement learning (BRL) with the assistance of technology computer-aided design (TCAD). The fixed or variable prior BRL is tested where the TCAD prior is fixed or is changed by the experimental sampling and decays during the entire RL procedure. The sheet resistance (Rs) of the samples treated by laser annealing is the optimization target. In both cases, the experimentally sampled data points are added to the training dataset to enhance the RL agent. The model-based experimental agent and a model-free TCAD Q-Table are used in this study. The results of BRL proved that it can achieve lower Rs minimum values and variances at different hyperparameter settings. Besides, two action types, i.e., point to state and increment of levels, are proven to have similar results, which implies the method used in this study is insensitive to the different action types.