bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the impact of the adaptive gamified assessment on learners in blended learning
Authors: Zhang Zhihui , Huang Xiaomeng 
Published: May 2024

AbstractBlended learning combines online and traditional classroom instruction, aiming to optimize educational outcomes. Despite its potential, student engagement with online components remains a significant challenge. Gamification has emerged as a popular solution to bolster engagement, though its effectiveness is contested, with research yielding mixed results. This study addresses this gap by examining the impact of adaptive gamified assessments on young learners' motivation and language proficiency within a blended learning framework. Under Self-Determination Theory (SDT) and Language Assessment Principles, the study evaluates how adaptive gamified tests affect learner engagement and outcomes. A 20-week comparative experiment involved 45 elementary school participants in a blended learning environment. The experimental group (n = 23) took the adaptive gamified test, while the control group (n = 22) engaged with non-gamified e-tests. Statistical analysis using a paired t-test in SPSS revealed that the implementation of adaptive gamified testing in the blended learning setting significantly decreased learner dissatisfaction (t (44) = 10.13, p < .001, SD = 0.87). Moreover, this approach markedly improved learners' accuracy rates (t (44) = -25.75, p < .001, SD = 2.09), indicating enhanced language proficiency and motivation, as also reflected in the attitude scores (t(44) = -14.47, p < .001, SD = 4.73). The adaptive gamified assessment primarily enhanced intrinsic motivation related to competence, with 69% of students in the experimental group reporting increased abilities. The findings suggest that adaptive gamified testing is an effective instructional method for fostering improved motivation and learning outcomes.
Mining of extended signal temporal logic specifications with ParetoLib 2.0
Authors: Mambakam Akshay , Requeno Jarabo José Ignacio , Bakhirkin Alexey , Basset Nicolas , Dang Thao 
Published: May 2024

AbstractCyber-physical systems are complex environments that combine physical devices (i.e., sensors and actuators) with a software controller. The ubiquity of these systems and dangers associated with their failure require the implementation of mechanisms to monitor, verify and guarantee their correct behaviour. This paper presents ParetoLib 2.0, a Python tool for offline monitoring and specification mining of cyber-physical systems. ParetoLib 2.0 uses signal temporal logic (STL) as the formalism for specifying properties on time series. ParetoLib 2.0 builds upon other tools for evaluating and mining STL expressions, and extends them with new functionalities. ParetoLib 2.0 implements a set of new quantitative operators for trace analysis in STL, a novel mining algorithm and an original graphical user interface. Additionally, the performance is optimised with respect to previous releases of the tool via data-type annotations and multi core support. ParetoLib 2.0 allows the offline verification of STL properties as well as the specification mining of parametric STL templates. Thanks to the implementation of the new quantitative operators for STL, the tool outperforms the expressiveness and capabilities of similar runtime monitors.
A Bioinspired Control Strategy Ensures Maneuverability and Adaptability for Dynamic Environments in an Underactuated Robotic Fish
Authors: Manduca Gianluca , Santaera Gaspare , Miraglia Marco , Jansen Van Vuuren Godfried , Dario Paolo , Stefanini Cesare , Romano Donato 
Published: May 2024

AbstractBioinspired underwater robots can move efficiently, with agility, even in complex aquatic areas, reducing marine ecosystem disturbance during exploration and inspection. These robots can improve animal farming conditions and preserve wildlife. This study proposes a muscle-like control for an underactuated robot in carangiform swimming mode. The artifact exploits a single DC motor with a non-blocking transmission system to convert the motor’s oscillatory motion into the fishtail’s oscillation. The transmission system combines a magnetic coupling and a wire-driven mechanism. The control strategy was inspired by central pattern generators (CPGs) to control the torque exerted on the fishtail. It integrates proprioceptive sensory feedback to investigate the adaptability to different contexts. A parametrized control law relates the reference target to the fishtail’s angular position. Several tests were carried out to validate the control strategy. The proprioceptive feedback revealed that the controller can adapt to different environments and tail structure changes. The control law parameters variation accesses the robotic fish’s multi-modal swimming. Our solution can vary the swimming speed of 0.08 body lengths per second (BL/s), and change the steering direction and performance by an angular speed and turning curvature radius of 0.08 rad/s and 0.25 m, respectively. Performance can be improved with design changes, while still maintaining the developed control strategy. This approach ensures the robot’s maneuverability despite its underactuated structure. Energy consumption was evaluated under the robotic platform’s control and design. Our bioinspired control system offers an effective, reliable, and sustainable solution for exploring and monitoring aquatic environments, while minimizing human risks and preserving the ecosystem. Additionally, it creates new and innovative opportunities for interacting with marine species. Our findings demonstrate the potential of bioinspired technologies to advance the field of marine science and conservation.
Meet JEANIE: A Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment
Authors: Wang Lei , Liu Jun , Zheng Liang , Gedeon Tom , Koniusz Piotr 
Published: May 2024

AbstractVideo sequences exhibit significant nuisance variations (undesired effects) of speed of actions, temporal locations, and subjects’ poses, leading to temporal-viewpoint misalignment when comparing two sets of frames or evaluating the similarity of two sequences. Thus, we propose Joint tEmporal and cAmera viewpoiNt alIgnmEnt (JEANIE) for sequence pairs. In particular, we focus on 3D skeleton sequences whose camera and subjects’ poses can be easily manipulated in 3D. We evaluate JEANIE on skeletal Few-shot Action Recognition (FSAR), where matching well temporal blocks (temporal chunks that make up a sequence) of support-query sequence pairs (by factoring out nuisance variations) is essential due to limited samples of novel classes. Given a query sequence, we create its several views by simulating several camera locations. For a support sequence, we match it with view-simulated query sequences, as in the popular Dynamic Time Warping (DTW). Specifically, each support temporal block can be matched to the query temporal block with the same or adjacent (next) temporal index, and adjacent camera views to achieve joint local temporal-viewpoint warping. JEANIE selects the smallest distance among matching paths with different temporal-viewpoint warping patterns, an advantage over DTW which only performs temporal alignment. We also propose an unsupervised FSAR akin to clustering of sequences with JEANIE as a distance measure. JEANIE achieves state-of-the-art results on NTU-60, NTU-120, Kinetics-skeleton and UWA3D Multiview Activity II on supervised and unsupervised FSAR, and their meta-learning inspired fusion.
Speculative Analysis of Wireless Network by Bibliometrics Tool
Authors: Dalal Renu , Khari Manju , Misra Sanjay 
Published: May 2024

AbstractAn emerging subclass of the wireless network is known as a Delay Tolerant Network (DTN), in this network whenever the contact opportunity occurs sender nodes select the relay node randomly and disseminate the message in the network. The basic properties of DTN include; no fixed source-to-destination route, longer delay between nodes, and frequent disconnection among nodes. DTN is also known as Opportunistic Networks (OppNets). Routing protocols for traditional ad-hoc networks can’t work in DTN, because conventional networks require continuous end-to-end routes among sender and receiver nodes for the complete duration of message communication. So, OppNets used the principle of store-carry-forward to provide routing in the wireless network. This article provides a Bibliometrics evaluation of wireless networks for articles, sources, keywords, and others. The complete basics of the wireless network along with their classification, characteristics, routing protocols, strengths, weaknesses, and applications. This is analysed that only 14% of VANET-based protocols, 25% of MANET-based, 25% WSN-based, and 36% of OppNet-based protocols are already introduced in the wireless network.
Does Quitting Smoking Affect Depressive Symptoms? A Longitudinal Study Based on Treatment-Seeking Smokers with a History of Depressive Episode
Authors: Moss-Alonso Elizabeth , Martínez-Vispo Carmela , López-Durán Ana , Becoña Elisardo 
Published: May 2024

AbstractThis study analyses changes in depressive symptomatology as a function of smoking status over time after a cognitive-behavioural intervention for smoking cessation among smokers with a history of depressive episode. The sample comprised 215 smokers with antecedents of depressive episode (Mage=45.03; 64.7% female). Depressive symptoms were assessed using BDI-II at baseline, end of intervention and at 3-, 6- and 12-month follow-ups. Depression was examined according to smoking status at 12-month follow-up: abstainers, relapsers and smokers. The linear mixed model showed a significant effect for time (F = 11.26, p < .001) and for the interaction between smoking status and time (F = 9.11, p < .001) in the variations in depression. Abstinent participants at 12 months experienced a reduction in depressive symptomatology. This change was significant when comparing abstainers to smokers and relapsers. The present study suggests an association between abstinence and reductions in depressive symptomatology for smokers with a history of depressive episode after an intervention for smoking cessation.
Neural digital twins: reconstructing complex medical environments for spatial planning in virtual reality
Authors: Kleinbeck Constantin , Zhang Han , Killeen Benjamin D. , Roth Daniel , Unberath Mathias 
Published: May 2024

Abstract
Purpose
Specialized robotic and surgical tools are increasing the complexity of operating rooms (ORs), requiring elaborate preparation especially when techniques or devices are to be used for the first time. Spatial planning can improve efficiency and identify procedural obstacles ahead of time, but real ORs offer little availability to optimize space utilization. Methods for creating reconstructions of physical setups, i.e., digital twins, are needed to enable immersive spatial planning of such complex environments in virtual reality.

Methods
We present a neural rendering-based method to create immersive digital twins of complex medical environments and devices from casual video capture that enables spatial planning of surgical scenarios. To evaluate our approach we recreate two operating rooms and ten objects through neural reconstruction, then conduct a user study with 21 graduate students carrying out planning tasks in the resulting virtual environment. We analyze task load, presence, perceived utility, plus exploration and interaction behavior compared to low visual complexity versions of the same environments.

Results
Results show significantly increased perceived utility and presence using the neural reconstruction-based environments, combined with higher perceived workload and exploratory behavior. There’s no significant difference in interactivity.

Conclusion
We explore the feasibility of using modern reconstruction techniques to create digital twins of complex medical environments and objects. Without requiring expert knowledge or specialized hardware, users can create, explore and interact with objects in virtual environments. Results indicate benefits like high perceived utility while being technically approachable, which may indicate promise of this approach for spatial planning and beyond.
Radical and incremental, a multi-leverage point approach to transformation in ocean governance
Authors: Evans Tegan , Fletcher Stephen , Failler Pierre , Fletcher Ruth , Potts Jonathan 
Published: May 2024

AbstractUrgent change is required in the governance of ocean spaces to contend with the increasing presence and impact of human activities, the solution to which is often labelled a ‘transformation.’ While diverse interpretations of this concept exist across academic disciplines, a grounded exploration of the subject with those involved in ocean governance has not been undertaken and is a critical gap in the practical implementation of the concept. Leverage points have been not only identified as a mechanism for change, but also face similar research challenges. Therefore, this research aimed to identify, through 24 expert and practitioner interviews, what exactly transformation means in the context of ocean governance, and how it can be achieved through a leverage points approach. While reactions to and perceptions of the concept were mixed, several definitions of transformation were identified, ultimately hinging on incremental and radical change to define character. A multi-intervention ‘puzzle’ style of leverage points is advocated for. Therefore, ocean governance transformation is proposed to be achieved through a model that recognises the utility and benefits of both radical and incremental change and employs a multi-leverage approach, using interventions at varying depths across the system.
Wnt signaling in cardiac development and heart diseases
Authors: Horitani Keita , Shiojima Ichiro 
Published: May 2024

AbstractThe Wnt signaling pathway is a fundamental cellular communication system with extensive implications in various organs including the heart. In cardiac homeostasis, it governs essential processes like cellular proliferation, differentiation, and apoptosis, ensuring the heart’s structural and functional integrity from embryonic stages and throughout life. Both canonical and non-canonical Wnt signaling pathways play a critical role during embryonic heart development in a region- and stage-specific manner. Canonical Wnt signaling also plays a significant role in heart diseases such as myocardial infarction and heart failure. However, the role of non-canonical Wnt signaling in heart diseases has not been fully elucidated. Wnt5a is a major ligand that activates non-canonical Wnt pathway, and recent studies start to clarify the role of the Wnt5a signaling axis in cardiac health and disease. In this review, we will briefly summarize the previous findings on the role of Wnt signaling pathways in heart development and diseases, and then focus on the role of Wnt5a signaling in heart failure progression. The multifaceted roles of the Wnt signaling pathway highlight its therapeutic potential for various types of heart diseases.
Full-Field Deformation Study of Ti–25Nb, Ti–25Nb–0.3O and Ti–25Nb–0.7O Shape Memory Alloys During Tension Using Digital Image Correlation
Authors: Golasiński Karol Marek , Maj Michał , Tasaki Wataru , Pieczyska Elżbieta Alicja , Kim Hee Young 
Published: May 2024

AbstractA Ti–25Nb shape memory alloy (SMA) exhibits shape memory effect associated with stress-induced martensitic transformation from β to α″ phase. Addition of oxygen stabilizes the β phase and changes stress–strain response. Oxygen-added Ti–25Nb SMAs show a more distinct superelastic behavior. In this work, digital image correlation (DIC) was applied to investigate for the first time full-field deformation of Ti–25Nb, Ti–25Nb–0.3O and Ti–25Nb–0.7O (at. pct) SMAs. The specimens were subjected to loading–unloading tensile tests to study local and global mechanical characteristics related to activity of particular deformation mechanisms of the SMAs. Strain and strain rate fields were quantitatively compared at selected stages of each SMA’s deformation. It was found that the Ti–25Nb SMA exhibits a macroscopically localized Lüders-type deformation associated with the stress-induced phase transformation, whereas Ti–25Nb–0.3O and Ti–25Nb–0.7O SMAs show more discrete types of deformation related to activity of interstitial oxygen atoms. As a consequence, at particular stages of deformation, local values of strain rate of Ti–25Nb SMA were significantly higher than those of average strain rate. The results obtained in this paper provide a better understanding of the deformation mechanism in the oxygen-added Ti–25Nb based SMAs.
Learning outcome evaluation in manual assembly
Authors: Maier Maria , Schoenfelder Kim Julia , Zaeh Michael F. 
Published: May 2024

AbstractMass customization and shorter product life cycles are causing ever more variants in production, especially in manual assembly. At the same time, more diverse personnel structures are emerging due to demographic change and labor shortages. This is causing different challenges to production managers, e.g., competence gaps. To meet these challenges, learning in manual assembly becomes increasingly important. The design of the learning process can only be improved by checking whether the processes fulfill their purpose. Various learning evaluation measures are described in general vocational education and competence development, but it is hard to select the right one for the learning process. This paper shows a procedure, how learning evaluation measures can be selected, and how they can measure learning progress. For this, a test person study was conducted to compare different learning evaluation measures and show their usability and advantages in manual assembly. The results support making learning in assembly easier to apply and controllable. In the long term, feeding back the results improves the learning process design.
Professionalisation for inclusive mathematics—teacher education programs and changes in pre-service teachers’ beliefs and self-efficacy
Authors: Scherer Petra , Bertram Jennifer 
Published: May 2024

AbstractTraditionally, in many countries there exist different teacher education programs for special education and for regular or inclusive education, not at all with similar underlying paradigms for teaching and learning or similar definitions and understanding of the term inclusion. In this context, one central question is how to define inclusive mathematics education, how to address the manifold aspects, and how to reduce discrimination and marginalization. On the one hand, teacher education programs might focus on diverse groups and specific students, like students with special needs and integrate important questions of special education. On the other hand, teacher education programs might take explicitly a broader perspective, considering the mathematical learning of all students and not taking a specific focus. In this contribution we present research results of the project ProViel (‘professionalisation for diversity’) to discuss how a teacher education program can be designed to address both with the underlying paradigm of making mathematics accessible for all students, and what role pre-service teachers’ beliefs as well as their self-efficacy might play. The project aimed at subject-specific concept development and research concerning teacher education for inclusive mathematics on the primary level, considering different points in time within the whole education program. Quantitative data of pre-service teachers’ beliefs and self-efficacy have been analysed, while they participated in different university courses and a practical phase at school. Key findings of this study are, that pre-service teachers’ beliefs about student achievement and their self-efficacy for inclusive mathematics teaching changed during the teacher education program.
Multi-family Therapy for Eating Disorders Across the Lifespan
Authors: Baudinet Julian , Eisler Ivan 
Published: May 2024

Abstract
Purpose of Review
This review aims to report on recent evidence for multi-family therapy for eating disorders (MFT) across the lifespan. It is a narrative update of recent systematic, scoping and meta-analytic reviews.

Recent Findings
There has been a recent increase in published theoretical, quantitative and qualitative reports on MFT in the past few years. Recent and emerging data continues to confirm MFT can support eating disorder symptom improvement and weight gain, for those who may need to, for people across the lifespan. It has also been associated with improved comorbid psychiatric symptoms, self-esteem and quality of life. Data are also emerging regarding possible predictors, moderators and mediators of MFT outcomes, as well as qualitative data on perceived change processes. These data suggest families with fewer positive caregiving experiences at the start of treatment may particularly benefit from the MFT context. Additionally, early change in family functioning within MFT may lead to improved outcomes at end of treatment.

Summary
MFT is a useful adjunctive treatment across the lifespan for people with eating disorders. It helps to promote change in eating disorder and related difficulties. It has also been shown to support and promote broader family and caregiver functioning.
Development and validation of a nomogram to predicting the efficacy of PD-1/PD-L1 inhibitors in patients with nasopharyngeal carcinoma
Authors: Chen Yao , Chen Dubo , Wang Ruizhi , Xie Shuhua , Wang Xueping , Huang Hao 
Published: May 2024

Abstract
Purpose
With the treatment of nasopharyngeal carcinoma (NPC) by PD-1/PD-L1 inhibitors used widely in clinic, it becomes very necessary to anticipate whether patients would benefit from it. We aimed to develop a nomogram to evaluate the efficacy of anti-PD-1/PD-L1 in NPC patients.

Methods
Totally 160 NPC patients were enrolled in the study. Patients were measured before the first PD-1/PD-L1 inhibitors treatment and after 8–12 weeks of immunotherapy by radiological examinations to estimate the effect. The least absolute shrinkage and selection operator (LASSO) logistic regression was used to screen hematological markers and establish a predictive model. The nomogram was internally validated by bootstrap resampling and externally validated. Performance of the model was evaluated using concordance index, calibration curve, decision curve analysis and receiver operation characteristic curve.

Results
Patients involved were randomly split into training cohort ang validation cohort. Based on Lasso logistic regression, systemic immune-inflammation index (SII) and ALT to AST ratio (LSR) were selected to establish a predictive model. The C-index of training cohort and validating cohort was 0.745 and 0.760. The calibration curves and decision curves showed the precise predictive ability of this nomogram. The benefit of the model showed in decision curve was better than TNM stage. The area under the curve (AUC) value of training cohort and validation cohort was 0.745 and 0.878, respectively.

Conclusion
The predictive model helped evaluating efficacy with high accuracy in NPC patients treated with PD-1/PD-L1 inhibitors.