bluuebunny/crossref_metadata_2025_split huggingface dataset:
Variation in Hounsfield unit calculated using dual-energy computed tomography: comparison of dual-layer, dual-source, and fast kilovoltage switching technique
Authors: Ohira Shingo , Mochizuki Junji , Niwa Tatsunori , Endo Kazuyuki , Minamitani Masanari , Yamashita Hideomi , Katano Atsuto , Imae Toshikazu , Nishio Teiji , Koizumi Masahiko , Nakagawa Keiichi 
Published: May 2024

AbstractThe purpose of the study is to investigate the variation in Hounsfield unit (HU) values calculated using dual-energy computed tomography (DECT) scanners. A tissue characterization phantom inserting 16 reference materials were scanned three times using DECT scanners [dual-layer CT (DLCT), dual-source CT (DSCT), and fast kilovoltage switching CT (FKSCT)] changing scanning conditions. The single-energy CT images (120 or 140 kVp), and virtual monochromatic images at 70 keV (VMI70) and 140 keV (VMI140) were reconstructed, and the HU values of each reference material were measured. The difference in HU values was larger when the phantom was scanned using the half dose with wrapping with rubber (strong beam-hardening effect) compared with the full dose without the rubber (reference condition), and the difference was larger as the electron density increased. For SECT, the difference in HU values against the reference condition measured by the DSCT (3.2 ± 5.0 HU) was significantly smaller (p < 0.05) than that using DLCT with 120 kVp (22.4 ± 23.8 HU), DLCT with 140 kVp (11.4 ± 12.8 HU), and FKSCT (13.4 ± 14.3 HU). The respective difference in HU values in the VMI70 and VMI140 measured using the DSCT (10.8 ± 17.1 and 3.5 ± 4.1 HU) and FKSCT (11.5 ± 21.8 and 5.5 ± 10.4 HU) were significantly smaller than those measured using the DLCT120 (23.1 ± 27.5 and 12.4 ± 9.4 HU) and DLCT140 (22.3 ± 28.6 and 13.1 ± 11.4 HU). The HU values and the susceptibility to beam-hardening effects varied widely depending on the DECT scanners.
Genetically Engineered CLDN18.2 CAR-T Cells Expressing Synthetic PD1/CD28 Fusion Receptors Produced Using a Lentiviral Vector
Authors: Lee Heon Ju , Hwang Seo Jin , Jeong Eun Hee , Chang Mi Hee 
Published: May 2024

AbstractThis study aimed to develop synthetic Claudin18.2 (CLDN18.2) chimeric antigen receptor (CAR)-T (CAR-T) cells as a treatment for advanced gastric cancer using lentiviral vector genetic engineering technology that targets the CLDN18.2 antigen and simultaneously overcomes the immunosuppressive environment caused by programmed cell death protein 1 (PD-1). Synthetic CAR T cells are a promising approach in cancer immunotherapy but face many challenges in solid tumors. One of the major problems is immunosuppression caused by PD-1. CLDN18.2, a gastric-specific membrane protein, is considered a potential therapeutic target for gastric and other cancers. In our study, CLDN18.2 CAR was a second-generation CAR with inducible T-cell costimulatory (CD278), and CLDN18.2-PD1/CD28 CAR was a third-generation CAR, wherein the synthetic PD1/CD28 chimeric-switch receptor (CSR) was added to the second-generation CAR. In vitro, we detected the secretion levels of different cytokines and the killing ability of CAR-T cells. We found that the secretion of cytokines such as interferon-gamma (IFN-γ) and tumor necrosis factor-alpha (TNF-α) secreted by three types of CAR-T cells was increased, and the killing ability against CLDN18.2-positive GC cells was enhanced. In vivo, we established a xenograft GC model and observed the antitumor effects and off-target toxicity of CAR-T cells. These results support that synthetic anti-CLDN18.2 CAR-T cells have antitumor effect and anti-CLDN18.2-PD1/CD28 CAR could provide a promising design strategy to improve the efficacy of CAR-T cells in advanced gastric cancer.
Evaluation of Sensitization Behaviors on the Heat-Affected Zone of Austenitic Stainless Steel Weld by Thermal Cycles of Actual Multi-pass Welding
Authors: Kim Gidong , Lee Junho , Kim Seunghyun , Kang Yongjoon , Park Jun-Yong , Song Sang-Woo 
Published: May 2024

AbstractThe sensitization behavior of the welding heat affected zone (HAZ) in austenitic stainless steels (SSs) was investigated through simulated thermal cycles emulating actual multi-pass welding processes using the Gleeble simulator. The tests were performed with austenitic SSs, considering carbon contents, heat input, and distance from the fusion line to determine the thermal cycle conditions of the HAZ. Higher carbon content led to increased sensitization (degree of sensitization, DOS) values, while the influence of the thermal cycle in the final weld pass was that even though it was rapidly heated to over 1000 °C and cooled at a rapid rate, the DOS value decreased due to partial carbide dissolution and chromium diffusion. Therefore, effective management of the final thermal cycle in the HAZ contributes to improved intergranular stress corrosion cracking resistance. Even with prolonged exposure of the HAZ to the sensitization region, the discovery that corrosion resistance improves when the final heating cycle reaches 1000 °C underscores the importance of HAZ heat cycle management and provides valuable insights for materials engineering and industrial applications.
Graphical abstract
CLKR: Conditional Logic and Knowledge Representation
Authors: Beierle Christoph , Haldimann Jonas , Schwarzer Leon 
Published: May 2024

AbstractCLKR (Conditional Logic and Knowledge Representation) is an online repository of conditional logic resources for knowledge representation and reasoning. The question which entailments should follow from a conditional knowledge base consisting of a set of conditionals “If A then usually B“ is central in logic-based AI. In order to support the practical side of this question, CLKR provides various collections of conditional knowledge bases and related resources. All knowledge bases available in CLKR can be processed directly with a corresponding reasoning system like InfOCF-Web. The sets of knowledge bases include examples as they are used in the literature for illustration, application knowledge bases from different domains, and systematically generated knowledge bases for evaluating implementations of nonmonotonic reasoning. A main emphasis of the current version of CLKR is on providing collections of knowledge bases in various normal forms that have been proposed for conditional knowledge bases, e.g., conditional normal form, antecedent normal form, and renaming normal form.
“Quasi-Metacognitive Machines: Why We Don’t Need Morally Trustworthy AI and Communicating Reliability is Enough”
Authors: Dorsch John , Deroy Ophelia 
Published: May 2024

AbstractMany policies and ethical guidelines recommend developing “trustworthy AI”. We argue that developing morally trustworthy AI is not only unethical, as it promotes trust in an entity that cannot be trustworthy, but it is also unnecessary for optimal calibration. Instead, we show that reliability, exclusive of moral trust, entails the appropriate normative constraints that enable optimal calibration and mitigate the vulnerability that arises in high-stakes hybrid decision-making environments, without also demanding, as moral trust would, the anthropomorphization of AI and thus epistemically dubious behavior. The normative demands of reliability for inter-agential action are argued to be met by an analogue to procedural metacognitive competence (i.e., the ability to evaluate the quality of one’s own informational states to regulate subsequent action). Drawing on recent empirical findings that suggest providing reliability scores (e.g., F1-scores) to human decision-makers improves calibration in the AI system, we argue that reliability scores provide a good index of competence and enable humans to determine how much they wish to rely on the system.
The impact of professional learning and development on primary and intermediate teachers’ digital technologies knowledge and efficacy beliefs
Authors: Stringer Lynley Rose , Lee Kerry Maree , Sturm Sean , Giacaman Nasser 
Published: May 2024

Abstract
To prepare young people for the increasingly complex and fluid world of their future, many countries have begun introducing digital technologies concepts and skills into their curricula. In 2017, the New Zealand National Curriculum was updated to incorporate digital technologies concepts in both the indigenous Māori-medium curriculum and the English-medium curriculum. This study investigated the long-term impact of three different models of digital technologies in professional learning and development on primary and intermediate schoolteachers’ knowledge and efficacy beliefs (value beliefs, self-efficacy beliefs and teaching efficacy beliefs). Professional learning and development were found to have a positive long-term impact on teachers’ digital technologies knowledge and efficacy beliefs, yet no one professional learning and development model was found to be more effective than another. Post professional learning and development, teachers were found to want more support on how to plan for Digital Technologies curricula implementation and fully adopt twenty-first-century pedagogical practices. School environments were shown to influence efficacy beliefs, and a lack of time in the classroom to plan for and upskill in digital technologies was reported. Limitations of the study are discussed, and areas for future research are identified.
The HWAM-EMD-GRU Forecasting Model for Short-Term Passenger Flow in an Airport Light Rail Transit Line
Authors: Qin Qian , Wang Ziji’an , Li Bing , Huang Ailing 
Published: May 2024

AbstractAccurate forecasting of airport light rail transit line (ALRTL) outbound passenger flow is critical to the optimal operations of both light rail and airport systems. Considering the nonlinearity, non-stationarity, uncertainty, and periodicity of outbound passenger flow in the ALRTL, we propose a combined forecasting model that integrates the Holt and Winters additive model (HWAM), empirical mode decomposition (EMD) and gated recurrent unit (GRU). Firstly, the edge effect of EMD will greatly affect the performance of the forecasting model. To overcome this, we extend the passenger flow by HWAM. After that, the decomposition method, EMD, can be applied to passenger flow, and several intrinsic mode function (IMF) components can be extracted. After extracting all the IMFs, the remaining part is referred to as the residual (Res) component. Then, a correlation test is performed on all the components, followed by their aggregation. Finally, the GRU is used to predict each of the aggregated components, and the prediction of aggregated components requires reconstruction. To verify the performance of the HWAM-EMD-GRU, we conducted a comparative study on the hourly passenger flow data for Beijing Daxing International Airport Express and set the autoregressive integrated moving average model, HWAM, Prophet, and GRU as the baseline. Predictions of the HWAM-EMD-GRU combined model demonstrated higher accuracy than baseline models, with a root mean square error of 83.52 (Prophet is 110.21) and mean absolute percentage error of 8.32% (Prophet is 12.48 %). The experimental result shows that the HWAM-EMD-GRU forecasting model offers more accurate predictions.
The Lipschitz type of the geometric directional bundle
Authors: Koike Satoshi , Paunescu Laurentiu 
Published: May 2024

AbstractWe investigate the behaviour of the geometric directional bundles, associated to arbitrary subsets in $$\mathbb {R}^n$$

R

n

, under bi-Lipschitz homeomorphisms, and give conditions under which their bi-Lipschitz type is preserved. The most general sets we consider satisfy the sequence selection property (SSP) and, consequently, we investigate the behaviour of such sets under bi-Lipschitz homeomorphisms as well. In particular, we show that the bi-Lipschitz images of subanalytic sets generically satisfy (SSP).
Fault and fracture network characterization using soft computing techniques: application to geologically complex and deeply-buried geothermal reservoirs
Authors: Yasin Qamar , Ding Yan , Du Qizhen , Thanh Hung Vo , Liu Bo 
Published: May 2024

AbstractGeothermal energy is a sustainable energy source that meets the needs of the climate crisis and global warming caused by fossil fuel burning. Geothermal resources are found in complex geological settings, with faults and interconnected networks of fractures acting as pathways for fluid circulation. Identifying faults and fractures is an essential component of exploiting geothermal resources. However, accurately predicting fractures without high-resolution geophysical logs (e.g., image logs) and well-core samples is challenging. Soft computing techniques, such as machine learning, make it possible to map fracture networks at a finer resolution. This study employed four supervised machine learning techniques (multilayer perceptron (MLP), random forests (RF), extreme gradient boosting (XGBoost), and support vector regression (SVR)) to identify fractures in geothermal carbonate reservoirs in the sub-basins of East China. The models were trained and tested on a diverse well-logging dataset collected at the field scale. A comparison of the predicted results revealed that XGBoost with optimized hyperparameters and data division achieved the best performance than RF, MLP, and SVR with RMSE = 0.02 and R2 = 0.92. The Q-learning algorithm outperformed grid search, Bayesian, and ant colony optimizations. The blind well test demonstrates that it is possible to accurately identify fractures by applying machine learning algorithms to standard well logs. In addition, the comparative analysis indicates that XGBoost was able to handle the complex relationship between input parameters (e.g., DTP > RD > DEN > GR > CAL > RS > U > CNL) and fracture in geologically complex geothermal carbonate reservoirs. Furthermore, comparing the XGBoost model with previous studies proved superior in training and testing. This study suggests that XGBoost with Q-learning-based optimized hyperparameters and data division is a suitable algorithm for identifying fractures using well-log data to explore complex geothermal systems in carbonate rocks.
Graphical abstract
Effect of moisture content on the rockburst intensity of sandstones
Authors: Wang Jianchao , Wang Wei , Chen Guoqing , Wang Yanke 
Published: May 2024

AbstractRockburst is a common geological hazard in deep underground engineering, and it often occurs in strata consisting of brittle rocks. In this study, the moisture content effect on the rockburst intensity of sandstones is systematically studied. A series of triaxial unloading compression tests along with the acoustic emission monitoring are performed for sandstone specimens with different moisture content levels. The mechanical properties, failure characteristics, and dilatancy behaviors of sandstone specimens are then properly compared. Comparative results reveal that the triaxial compressive strength and total strain energy of the saturated specimen decrease by about 30% and 35%, respectively, as compared to those of the dry specimen. Moreover, the magnitude of elastic strain energy tends to decrease with the increasing water content. The effect of moisture content on the rockburst intensity of sandstones is, therefore, significant. Besides, it is also found that the onset of dilatancy is generally unaffected by the water content, whereas the extent of dilatancy significantly decreases with the increasing water content. Numerical simulations for a tunnel excavation model confirm that injecting water into the surrounding rock is an effective way of reducing the rockburst intensity during tunnel excavations. These results have a guiding significance for the prevention and control of rockbursts in underground engineering.
Atmospheric transmission algorithm for pulsed X-rays from high-altitude nuclear detonations based on scattering correction
Authors: Zhu Ding-Han , Zhang Xiong , Li Xiao-Qiang , Li Peng , Wang Yan-Bin , Zhang Shuang 
Published: May 2024

AbstractIn high-altitude nuclear detonations, the proportion of pulsed X-ray energy can exceed 70%, making it a specific monitoring signal for such events. These pulsed X-rays can be captured using a satellite-borne X-ray detector following atmospheric transmission. To quantitatively analyze the effects of different satellite detection altitudes, burst heights, and transmission angles on the physical processes of X-ray transport and energy fluence, we developed an atmospheric transmission algorithm for pulsed X-rays from high-altitude nuclear detonations based on scattering correction. The proposed method is an improvement over the traditional analytical method that only computes direct-transmission X-rays. The traditional analytical method exhibits a maximum relative error of 67.79% compared with the Monte Carlo method. Our improved method reduces this error to within 10% under the same conditions, even reaching 1% in certain scenarios. Moreover, its computation time is 48,000 times faster than that of the Monte Carlo method. These results have important theoretical significance and engineering application value for designing satellite-borne nuclear detonation pulsed X-ray detectors, inverting nuclear detonation source terms, and assessing ionospheric effects.
Key actors in behavioral health services availability and accessibility research: a scoping review bibliometric analysis
Authors: Hooley Cole , Adams Danielle R. , Ng Wai Yan , Wendt Carrie L. E. , Dennis Cory B. 
Published: May 2024

AbstractThis bibliometric review aims to identify key actors in the behavioral health services availability/accessibility literature. Coalescing information about these actors could support subsequent research efforts to improve the availability and accessibility of behavioral health services. The authors used a scoping review method and a bibliometric approach. The articles came from Medline, Embase, Web of Science, CINAHL, and PsycINFO. Articles were included if they assessed behavioral health service availability or accessibility quantitatively and were written in English. The final sample included 265 articles. Bibliometric data were extracted, coded, and verified. The authors analyzed the data using univariate and social network analyses. Publishing in this area has become more consistent and has grown since 2002. Psychiatric Services and Graduate Theses were the most frequently used publication venues. The National Institute on Drug Abuse, National Institute of Mental Health, and the Veterans Administration funded the most research. The most frequently used keyword was “health services accessibility.” The findings suggest that this literature is growing. There are a few clusters of researchers in this area. Government organizations primarily fund this research. The paper and supplementary materials list the top researchers, publication venues, funding sources, and key terms to promote further behavioral health availability/accessibility research.
Advancement in modulation of brain extracellular space and unlocking its potential for intervention of neurological diseases
Authors: Yong Yu , Cai Yicong , Lin Jiawei , Ma Lin , Han HongBin , Li Fenfang 
Published: May 2024

AbstractCells in the brain are surrounded by extracellular space (ECS), which forms porous nets and interconnected routes for molecule transportation. Our view of brain ECS has changed from a largely static compartment to dynamic and diverse structures that actively regulate neural activity and brain states. Emerging evidence supports that dysregulation of brain ECS contributes to the pathogenesis and development of many neurological disorders, highlighting the importance of therapeutic modulation of brain ECS function. Here, we aim to provide an overview of the regulation and dysfunction of ECS in healthy and pathological brains, as well as advanced tools to investigate properties of brain ECS. This review emphasizes modulation methods to manipulate ECS with implications to restore their function in brain diseases.
Graphical Abstract
Revisiting swimming against tide; inequalities in child malnutrition in Nepal
Authors: Siddiqui Mohammad Zahid , Illiyan Asheref , Akram Vasim , Nigar Kashfi 
Published: May 2024

Abstract
Background
Child stunting, child underweight, and child wasting in Nepal decreased from 48%, 47%, and 11% to 25%, 19%, and 9%, respectively, between 1996 and 2022. Despite an overall reduction in prevalence rates, economically poor and geographically backward regions in Nepal have not seen equivalent improvement in child undernutrition similar to their richer and developed regions, leading to increased differences in undernutrition prevalence across the wealth quintiles. This study aimed to assess time trends in the average and inequality of child nutritional status by household wealth across Nepal's geographical spaces from 1996 to 2022.

Methods
This study utilized data from four rounds (1996, 2006, 2016, and 2022) of the Nepal Demographics and Health Survey (NDHS). The nutritional status of children below three years of age, measured by stunting, wasting, and underweight, served as the main dependent variable. Household wealth status, determined by binary responses regarding possession of household assets, acted as a proxy for economic status. The study employed point prevalence for average, Concentration Index (CI), Poorest-Richest-Ratio (P-R-R), and Poorer-Richer-Ratio (Pr-Rr-R) to analyze trends in child nutritional status by wealth quintiles.

Results
From 1996 to 2022, Nepal exhibited an increasing Concentration Index and an upward trend in P-R-R measures of inequality in child stunting. The P-R-R increased from 1.77 in 1996 to 2.51 in 2022, However, results show a concurrent decrease in Pr-Rr-R from 1.19 to 1.18, assessing the prevalence of stunting among children. In the prevalence of child underweight, the P-R-R and Pr-Rr-R were 1.88 and 1.19 in 1996, decreasing to 1.47 and 1.10, respectively, in 2022.

Conclusion
The results indicated that inequalities in child nutrition across wealth status show an increase in stunting but marginal decline in underweight and wasting. Therefore, the study underscores the need for inclusive policy and program interventions to achieve equitable improvement in child stunting in Nepal, ensuring that progress extends to children in the poorest wealth quintile households. However, the progress is equitable in child underweight and wasting.