bluuebunny/crossref_metadata_2025_split huggingface dataset:
ADHD and cognitive disengagement syndrome symptoms related to self-injurious thoughts and behaviors in early adolescents
Authors: Thornton Keely E. , Wiggs Kelsey K. , Epstein Jeffery N. , Tamm Leanne , Becker Stephen P. 
Published: September 2024

AbstractThe current study examined attention-deficit/hyperactivity disorder (ADHD) dimensions and cognitive disengagement syndrome (CDS) symptoms in relation to self-injurious thoughts and behaviors (SITBs) in an early adolescent sample. Participants were 341 adolescents ages 10–12 years (52.2% female; 37.8% people of color) recruited from the community. Caregivers reported on CDS and ADHD symptoms. Adolescents completed a rating scale and were administered an interview assessing SITBs. We estimated associations using logistic regression in a stepped fashion: (1) no adjustment, (2) adjustment for sex, race, family income, and psychotropic medication use, and (3) further adjustment for depressive symptoms. In this early adolescent community sample, 22.9% reported a history of suicidal ideation, 8.2% reported a history of a suicide plan, 6.2% reported a history of non-suicidal self-injury (NSSI), and 16.4% met a clinical cutoff for current suicide risk. Across most analyses using rating scale or interview methods, higher mean CDS scores were related to endorsement of suicidal ideation and planning. ADHD inattentive (IN) and hyperactive-impulsive (HI) symptoms were associated with endorsement of NSSI, and ADHD-IN symptoms were associated with thoughts of suicide and/or plan measured via questionnaire, though effects were less robust and not significant, potentially due to low base rates impacting statistical power. This study adds to a growing body of research highlighting the importance of screening for CDS symptoms among individuals with and without ADHD. More research, especially longitudinal work, is needed that examines possible differential pathways to SITBs by ADHD and CDS symptoms to advance SITB prevention, early detection, and intervention.
Work domain modeling of human-automation interaction for in-vehicle automation
Authors: Zhang You , Lintern Gavan 
Published: September 2024

AbstractAutomated driving systems are deployed on public roads with little empirical support for the dominant justifications of enhanced safety and enhanced productivity. Furthermore, development of automated driving systems has been piecemeal rather than systematic while research on driver-automation interaction has relied on individual analysis of accidents and on observational studies of driving behavior in a simulator or on the road. In this paper, we apply Work Domain Analysis to develop a more systematic and comprehensive model of automated driving. We use a strategy of layering the driving automation onto the resulting Abstraction-Decomposition Space for manual driving to mimic the existing design strategy of introducing automation to take over driving functions previously the responsibility of the human driver. Our analysis shows that automation does not unequivocally supports dominant driving values. Furthermore, our analysis revealed subtle interdependencies between human and technological functions. We conclude that an Abstraction Decomposition Space offers a systematic view of driver-automation interaction that can suggest new insights for automation design.
Learning to learn for few-shot continual active learning
Authors: Ho Stella , Liu Ming , Gao Shang , Gao Longxiang 
Published: September 2024

AbstractContinual learning strives to ensure stability in solving previously seen tasks while demonstrating plasticity in a novel domain. Recent advances in continual learning are mostly confined to a supervised learning setting, especially in NLP domain. In this work, we consider a few-shot continual active learning setting where labeled data are inadequate, and unlabeled data are abundant but with a limited annotation budget. We exploit meta-learning and propose a method, called Meta-Continual Active Learning. This method sequentially queries the most informative examples from a pool of unlabeled data for annotation to enhance task-specific performance and tackles continual learning problems through a meta-objective. Specifically, we employ meta-learning and experience replay to address inter-task confusion and catastrophic forgetting. We further incorporate textual augmentations to avoid memory over-fitting caused by experience replay and sample queries, thereby ensuring generalization. We conduct extensive experiments on benchmark text classification datasets from diverse domains to validate the feasibility and effectiveness of meta-continual active learning. We also analyze the impact of different active learning strategies on various meta continual learning models. The experimental results demonstrate that introducing randomness into sample selection is the best default strategy for maintaining generalization in meta-continual learning framework.
Reinforcement learning-based drone simulators: survey, practice, and challenge
Authors: Chan Jun Hoong , Liu Kai , Chen Yu , Sagar A. S. M. Sharifuzzaman , Kim Yong-Guk 
Published: September 2024

AbstractRecently, machine learning has been very useful in solving diverse tasks with drones, such as autonomous navigation, visual surveillance, communication, disaster management, and agriculture. Among these machine learning, two representative paradigms have been widely utilized in such applications: supervised learning and reinforcement learning. Researchers prefer to use supervised learning, mostly based on convolutional neural networks, because of its robustness and ease of use but yet data labeling is laborious and time-consuming. On the other hand, when traditional reinforcement learning is combined with the deep neural network, it can be a very powerful tool to solve high-dimensional input problems such as image and video. Along with the fast development of reinforcement learning, many researchers utilize reinforcement learning in drone applications, and it often outperforms supervised learning. However, it usually requires the agent to explore the environment on a trial-and-error basis which is high cost and unrealistic in the real environment. Recent advances in simulated environments can allow an agent to learn by itself to overcome these drawbacks, although the gap between the real environment and the simulator has to be minimized in the end. In this sense, a realistic and reliable simulator is essential for reinforcement learning training. This paper investigates various drone simulators that work with diverse reinforcement learning architectures. The characteristics of the reinforcement learning-based drone simulators are analyzed and compared for the researchers who would like to employ them for their projects. Finally, we shed light on some challenges and potential directions for future drone simulators.
From Non-Traditional Sexual Behavior to Non-Legitimate Victims: Moral Virtue, Victim Blame, and Helping Intentions Toward a Woman Victim of Image-Based Sexual Abuse
Authors: Pacilli Maria Giuseppina , Pagliaro Stefano , Giovannelli Ilaria , Spaccatini Federica , Berlin Elisa , Rollero Chiara 
Published: September 2024

AbstractImage-based sexual abuse represents an increasingly common form of gender-based violence, consisting of the act of non-consensually capturing, distributing, or threatening to distribute sexually explicit material depicting another person. The purpose of the present study was to investigate how women victims’ noncompliance with traditional female sexuality influences bystanders’ perceptions of the phenomenon. Specifically, we experimentally examined whether a woman’s sexual agency (high vs. low) and the length (steady vs. transient) of the relationship with the perpetrator affected her moral evaluation, victim blaming, and participants’ willingness to support her. A sample of 597 adults (65.7% women, Mage = 31.29 years) took part in the study. The findings indicated that while a transient (vs. steady) relationship with the perpetrator significantly lowered the woman’s perceived moral virtue and increased the extent to which she was blamed for the incident, a high (vs. low) woman’s sexual agency decreased participants’ helping intentions towards her. Additionally, results showed that men were less likely than women to attribute moral virtue and help the victim. Lastly, through the mediation of moral virtue and victim blaming, the length of the relationship indirectly influenced participants’ helping intentions.
PD-L1 and VEGF dual blockade enhances anti-tumor effect on brain metastasis in hematogenous metastasis model
Authors: Masuda Chinami , Onishi Shinichi , Yorozu Keigo , Kurasawa Mitsue , Morinaga Mamiko , Wakita Daiko , Sugimoto Masamichi 
Published: September 2024

AbstractImmunotherapy improves survival outcomes in cancer patients, but there is still an unmet clinical need in the treatment of brain metastases. Here, we used a mouse model to investigate the antitumor effect of programmed death-ligand 1 (PD-L1) and vascular endothelial growth factor (VEGF) dual blockade on metastatic brain tumors and evaluated immune responses during treatment. After establishing hematogenous brain metastasis by transplanting murine bladder carcinoma MBT2 cells stably expressing secNLuc reporter via the internal carotid artery of C3H/HeNCrl mice, we observed the formation of metastases not only in the brain parenchyma but also in the ventricles. The observed pathological areas showed that metastases in the ventricle were histologically larger than that in the brain parenchyma. Regarding the total tumor burden in the whole brain as revealed by Nluc activities, the combination of anti-PD-L1 antibody and anti-VEGF antibody showed a stronger anti-tumor effect than each single agent. Anti-PD-L1 antibody alone enhanced CD8+ T cell priming in regional lymph nodes, increased the proportion of activated CD8+ T cells in whole brain, and increased the density of CD8+ cells in the brain parenchyma. Furthermore, anti-VEGF antibody alone decreased microvessel density (MVD) in ventricular metastases, and the combination treatment increased intratumoral CD8+ cell density in the brain parenchyma and ventricular metastases. These results suggest that PD-L1 blockade enhanced cancer immunity not only in brain metastases lesions but also in the regional lymph nodes of the metastases, and that the addition of VEGF blockade increased the antitumor effect by increasing the infiltration of activated CD8+ T cell and decreasing MVD.
The use of image analysis in improving knowledge and skills on the example of teaching the biology of algae and fungi
Authors: Vydra Marek , Kováčik Jozef 
Published: September 2024

AbstractWe investigated the effect of short-term teaching (3 weeks) using image analysis on gymnasium/secondary school students’ (ISCED3A) skills (science process skills, SPS) and knowledge using Fiji (ImageJ) software. The theoretical teaching was combined with IT-based education (measurement of the area or signal intensity on photos from scientific papers using algae Ulva or Coccomyxa and the fungus Glomerella) and students formed conclusions from data and answered knowledge questions. Experimental education increased score (post-test/pre-test) in the area of knowledge (by 102%) and SPS (by 44%) and greater impact of IT implementation on the development of girls’ SPS and knowledge was found. Besides, the Pearson’s correlation analysis showed a more intense improvement of students who had greater deficiencies in pre-test. This experimental gymnasium group (n = 53) also retained a higher score in re-test in comparison with control gymnasium students (without the implementation of image analysis, n = 54) and detailed analysis of individual questions revealed that there was a development of SPS, especially those that were emphasized in the experimental teaching. Another control group “university students” (ISCED5A, n = 19) had a higher score in re-test than the experimental gymnasium group, but the area of knowledge was comparable. These results indicate that the involvement of IT improves SPS and knowledge of gymnasium students at the level comparable with university students. The test and worksheets are attached for free use with the aim of improving the teaching of less interesting topics such as botany.
Mathematics teachers’ beliefs about their roles in teaching mathematics: orchestrating scaffolding in cooperative learning
Authors: Li Rangmei , Cevikbas Mustafa , Kaiser Gabriele 
Published: September 2024

AbstractTeaching methods to promote cooperative learning may shape mathematics teachers’ roles in the classroom, requiring a shift from direct supervision to delegating authority to small groups of students. While it is widely acknowledged that mathematics teachers’ beliefs play a crucial role in shaping their instructional practices and behaviors, there is limited research on how mathematics teachers’ beliefs about their professional roles influence their scaffolding behaviors in cooperative learning environments. The aim of this qualitative study is to investigate mathematics teachers’ beliefs about their roles in cooperative learning and the relationships between their beliefs and instructional scaffolding practices, which are highly important in cooperative learning environments. In this study, we investigate the teaching practices of four middle school mathematics teachers in Beijing, China, through videotaping of their teaching and semi-structured in-depth interviews. The results show that the participating in-service mathematics teachers held conflicting beliefs about their roles, oscillating between direct supervision (as specialist and controller) and delegation of authority (as observer and facilitator). These beliefs could be identified in different patterns of teacher–student interaction, including unidirectional interactions, non-scaffolding interactions, and scaffolding interactions. In this paper, we critically examine these findings and conclude with a reflection on the limitations of this study and its implications for future research and practice.
3D characterization of kinematic fields and poroelastic swelling near the tip of a propagating crack in a hydrogel
Authors: Li Chenzhuo , Zubko Danila , Delespaul Damien , Kolinski John Martin 
Published: September 2024

AbstractIn fracture mechanics, polyacrylamide hydrogel has been widely used as a model material in experiments due to its optical transparency, the brittle nature of its failure, and low Rayleigh wave velocity. Indeed, linear elastic fracture mechanics has been used successfully to model the fracture of polyacrylamide hydrogels. However, in soft materials such as hydrogels, the crack opening can be extremely large, leading to substantial geometric and material nonlinearity at the crack tip. Furthermore, poroelasticity may also modify the local mechanical state within the polymer network due to solvent migration. Direct characterization of the kinematic fields and the poroelastic response at the crack tip is lacking. Here we use a hybrid digital image correlation—particle tracking technique to retrieve high-resolution 3D particle trajectories near the tip of a slowly propagating crack, and measure the near-tip 3D kinematic fields in-situ. With this method, we charactherize the displacement fields, rotation fields, stretch fields, strain fields, and swelling fields. These measurements confirm the complex multi-axial stretching near the crack tip and the substantial geometric nonlinearity, particularly in the wake of the crack, where material rotation exceeds $$30^{\circ }$$

30
∘

. Comparison between the measured fields and the corresponding prediction from linear elastic fracture mechanics highlights an increasing disagreement in the direct vicinity of the crack tip, particularly for displacement component $$u_x$$

u
x

and the through-thickness strain component $$\varepsilon _{zz}$$

ε

zz

. Significant swelling occurs due to solvent migration, with a strong correlation to the local stretch.
Efficacy of intrauterine autologous blood cell derivatives in enhancing endometrial thickness and IVF outcomes for women with recurrent implantation failure: a retrospective cohort study
Authors: Tiwari Shivangi , Poojari Vidyashree G. , Mundkur Anjali , Adiga Prashanth , Kumar Pratap , Bhatele Prashant , Palanivel Vasanthi 
Published: September 2024

Abstract
Purpose
The purpose of this study was to determine the effects of intrauterine infusion of autologous blood cell derivative (ABCD) on endometrial thickness and pregnancy outcomes in a group of patients who underwent IVF with recurrent implantation failure (RIF) and who had either a normal endometrium or thin endometrium.

Methods
This retrospective study included 63 patients who experienced RIF at the Department of Reproductive Medicine and Surgery, KMC, Manipal, between January 2021 and March 2024 and who received three doses of intrauterine ABCD infusion to prepare the endometrium for frozen embryo transfer (FET).

Results
We enrolled 63 RIF patients, 30 with a normal endometrium (NEM) and 33 with a thin endometrium (TEM). The endometrial thickness (EMT) significantly increased across all the groups. After 3 cycles of intrauterine ABCD infusion, the mean increases in EMT in the NEM and TEM groups were 0.77 mm and 1.36 mm, respectively, which were statistically significant. Among the 62 completed FET cycles, 40.3% were positive for beta-hCG. The clinical pregnancy rate was 33.8% (40% in the NEM group, 28.1% in the TEM group), and the live birth rate was 24.2% (30% in the NEM group, 18.8% in the TEM group). A total of 9.7% of pregnancies had spontaneous miscarriages. Moreover, the EMT did not differ between the pregnant and nonpregnant groups.

Conclusion
Intrauterine ABCD infusion improves the pregnancy outcomes of patients with RIF, regardless of the EMT. The results of this study revealed that endometrial receptivity improved significantly along with the EMT.
Trends in patient age at planned oocyte cryopreservation
Authors: Shavit Tal , Hasson Joseph , Hyman Jordana Hadassah , Tsafrir Avi 
Published: September 2024

Abstract
Purpose
The outcome of planned oocyte cryopreservation (POC) is inversely related to the age at the time of oocyte cryopreservation commencing in the mid-30 s. We sought to evaluate whether the age of women undergoing POC has changed over the last decade.

Methods
The study employed a retrospective, observational multicenter design. It included all women who had at least one POC cycle in two large private IVF units belonging to the same medical organization in Israel. The main outcome measure was age at the first cycle. Data on the total number of women each year and their age at the first cycle were recorded.

Results
Between 2011 and the end of 2023, 4488 women underwent POC. The average age at the first retrieval was 36.2 years (± 2.4). In 2011, the average age was 38.3 years (± 2.6), which decreased to 35.4 years (± 2.5) in 2023. The trendline indicates a decline in the average age of 3.0 months per year (β =  − 0.252, F = 301.8, p < 0.001). The proportion of women aged < 36 at their first POC cycle increased from 14% in 2011 to 54% in 2023.

Conclusions
The age at the time of POC has significantly declined over the past decade. This trend may potentially lead to higher overall birth rates from POC, though further research is needed to confirm this hypothesis.
The spectrum of radioactive water vapor: the H219O radio-isotopologue
Authors: Voronin Boris A. , Tennyson Jonathan , Chesnokova Tatyana Yu. , Chentsov Aleksei V. , Bykov Aleksandr D. 
Published: September 2024

AbstractThe absorption spectrum of H219O, a radioactive isotopologue of the water molecule, is predicted using variational nuclear motion calculated based on a high precision potential energy function and ab initio dipole moment surface. Vibrational - rotational energy levels and wave functions, line centers and Einstein coefficients for dipole transitions are calculated. Predicted transition wavenumbers are improved by extrapolating known empirical energy levels of the stable H216O, H217O and H218O isotopologues to H219O. A line list for possible atmospheric application is presented which includes air line broadening coefficients. The calculations span a wide spectral range covering infrared and visible wavelengths, and are appropriate for temperatures up to 1000 K. Windows suitable for observing absorption by H219O are identified and comparisons made with the infrared spectra of water vapor in natural abundance, H215O and H214O.
Activation cross section for 85Rb(n,2n)84mRb and 85Rb(n,p)85mKr reactions with uncertainty propagation and covariance analysis
Authors: Mehta Mayur , Singh N. L. , Singh Ratankumar , Makwana R. , Subhash P. V. , Chauhan Rakesh , Suryanarayana S. V. , Katovsky K. 
Published: September 2024

AbstractThe cross section of 85Rb(n,2n)84mRb and 85Rb(n,p)85mKr reactions were measured at neutron energy range 12–20 MeV using activation analysis followed by off-line γ-ray spectroscopic technique. The quasi mono-energetic neutrons were produced through 7Li(p,n)7Be reaction. The measurements were done relative to 27Al(n,α)24Na reference monitor reaction cross section. The detailed uncertainty propagation from the attributes present in measurements was performed using covariance analysis. The γ-ray self-attenuation and background low neutron energy corrections were performed in the measurement studies. Theoretical calculations were performed by TALYS-1.96 nuclear code. The comparison of measured values with the available data in EXFOR database and evaluated data from JENDL-5 and EAF-2010 shows the measured cross section values of 85Rb(n,p)85mKr reaction were slightly higher than the published values, evaluated data and theoretical data while for 85Rb(n,2n)84mRb, the measured values were consistent with the published data.
Verification of seasonal correction factor for indoor radon concentration in Slovakia
Authors: Müllerová Monika , Smetanová Iveta , Brandýsová Alžbeta , Benková Viktória , Csicsay Kristian 
Published: September 2024

AbstractThe results of a pilot study performed on data from selected dwellings in Slovakia suggested that the best agreement between measured and calculated annual mean indoor radon activity concentration (RAC) were obtained by using seasonal correction factors (SCF) determined for winter season. In this paper, SCF was applied on results obtained during a new, independent radon survey conducted in homes during years 2022–2023. In this study, 79 rooms were monitored throughout the year in four cycles based on 3 month indoor radon measurements. The preliminary results show a good agreement between measured and calculated annual mean RAC.
Nested case–control sampling without replacement
Authors: Shin Yei Eun , Saegusa Takumi 
Published: September 2024

AbstractNested case–control design (NCC) is a cost-effective outcome-dependent design in epidemiology that collects all cases and a fixed number of controls at the time of case diagnosis from a large cohort. Due to inefficiency relative to full cohort studies, previous research developed various estimation methodologies but changing designs in the formulation of risk sets was considered only in view of potential bias in the partial likelihood estimation. In this paper, we study a modified design that excludes previously selected controls from risk sets in view of efficiency improvement as well as bias. To this end, we extend the inverse probability weighting method of Samuelsen which was shown to outperform the partial likelihood estimator in the standard setting. We develop its asymptotic theory and a variance estimation of both regression coefficients and the cumulative baseline hazard function that takes account of the complex feature of the modified sampling design. In addition to good finite sample performance of variance estimation, simulation studies show that the modified design with the proposed estimator is more efficient than the standard design. Examples are provided using data from NIH-AARP Diet and Health Cohort Study.