bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improving the accessibility of subject English for students with language and/or attention difficulties
Authors: Tancredi Haley , Graham Linda J. , Killingly Callula 
Published: July 2024

Abstract
The study of English is compulsory throughout all 13 years of schooling in Australia and, while there are differentiated options in the senior years of school, these do not have the same parity of esteem nor transactional value. Previous research has identified patterns of enrolment in high versus low-status subjects, reflecting differential access to powerful knowledge and further educational opportunity. To date, research has focused on patterns of inequalities in enrolment access along socioeconomic lines with comparatively less attention to the accessibility of pedagogy and assessment, particularly for students with high-incidence disabilities like Developmental Language Disorder (DLD) and Attention Deficit Hyperactivity Disorder (ADHD). In this study, we draw on individual achievement and interview data to consider the accessibility of subject English from the perspectives of 59 Year 10 students identified as having language and/or attentional difficulties consistent with DLD and ADHD. In describing their ease or difficulty with subject English, students reported attributions to self (e.g., their ability to write or to concentrate), and attributions to the subject (e.g., explicitness of success criteria, flexibility of assessment requirements, and the in/accessibility of teaching). Attributions to the subject dominated students’ responses, however, students also described a range of supportive pedagogical practices that—if implemented consistently and effectively—may help to increase the accessibility of subject English for students with language and/or attentional difficulties, providing more equitable opportunities for these students to gain from their participation in this important compulsory subject.
Prototype as query for few shot semantic segmentation
Authors: Cao Leilei , Guo Yibo , Yuan Ye , Jin Qiangguo 
Published: July 2024

AbstractFew-shot Semantic Segmentation (FSS) was proposed to segment unseen classes in a query image, referring to only a few annotated examples named support images. One of the characteristics of FSS is spatial inconsistency between query and support targets, e.g., texture or appearance. This greatly challenges the generalization ability of methods for FSS, which requires to effectively exploit the dependency of the query image and the support examples. Most existing methods abstracted support features into prototype vectors and implemented the interaction with query features using cosine similarity or feature concatenation. However, this simple interaction may not capture spatial details in query features. To address this limitation, some methods utilized pixel-level support information by computing pixel-level correlations between paired query and support features implemented with the attention mechanism of Transformer. Nevertheless, these approaches suffer from heavy computation due to dot-product attention between all pixels of support and query features. In this paper, we propose a novel framework, termed ProtoFormer, built upon the Transformer architecture, to fully capture spatial details in query features. ProtoFormer treats the abstracted prototype of the target class in support features as the Query and the query features as Key and Value embeddings, which are input to the Transformer decoder. This approach enables better capture of spatial details and focuses on the semantic features of the target class in the query image. The output of the Transformer-based module can be interpreted as semantic-aware dynamic kernels that filter the segmentation mask from the enriched query features. Extensive experiments conducted on PASCAL-$$5^{i}$$

5
i

and COCO-$$20^{i}$$

20
i

datasets demonstrate that ProtoFormer significantly outperforms the state-of-the-art methods in FSS.
In the Eye of the Beholder: Visualizing Strengths, Burdens and Desires Through the Lens of Neurodivergent Children, Their Parents, and Professionals Using the Yucel Method
Authors: Mercera Gabriëlle , Kalis Thomas , Vervoort-Schel Jessica , Moonen Xavier 
Published: July 2024

Abstract
Objectives
In mental healthcare, there is a growing emphasis on one’s strengths and context instead of focusing primarily on individual deficiencies, pathologies, risks, and negative emotions. Using the visual and tactile Yucel method, this study gains insight into strengths, burdens, and desires of neurodivergent children in residential care and their parents from different perspectives.

Methods
In this qualitative study, a total of 45 interviews with the Yucel method were conducted with nine neurodivergent children, their parents, and involved professionals. All built a constellation of the child and family’s strengths, burdens, and desires using the Yucel method. To explore if by applying this visual and tactile method additional information is provided to that gathered in the standard diagnostic process, the information of the Yucel method was compared to the information found in the multidisciplinary reports of the children.

Results
Thematic analysis showed that besides common mentioned strengths (e.g., mother, sports and activities) and burdens (mental health problems), differences in the informants' perspectives were found. Parents mentioned strengths and burdens that were not addressed by other informants and a diversity in needs was found. The comparison of the results from the interviews with the Yucel method with the information in the multidisciplinary reports showed that the Yucel method provided additional information.

Conclusions
The Yucel method brought more strengths and perspectives into view than diagnostics as usual in the first three months of residential care. This study contributes to the knowledge regarding personal, strength-based, and family-oriented diagnostics in mental healthcare of neurodivergent children and their families.
Thermomechanical Vibration Response of Solid and Foam FGM Nano Actuator/Sensor Plates
Authors: Yıldız Tuğçe 
Published: July 2024

Abstract
Purpose
In this study, the effect of foam structure on the thermomechanical behaviour of high void ratio porous FGM piezoelectric smart nanoplates is investigated.

Method
The material of the smart nanoplate consists of PZT-4 on the bottom surface and BaTiO3 on the top surface and is formed by functional grading of these two materials along the thickness of the plate. Four different foam distribution models are modelled to examine the foam structure of the highly porous smart nanoplate, which has become widespread in biosensor applications. For this reason, uniform, symmetrical, top symmetrical and bottom symmetrical foam distribution models are created up to 75% void ratio. To determine the nano size, equations of motion are obtained by using nonlocal strain gradient elasticity and sinusoidal shear deformation theories together, and these equations are solved by the Navier method according to general boundary conditions.

Result and Conclusions
As a result of the analysis, it is observed that the applied external electric potential creates a softening effect on the plates with the piezoelectric elasticity effect and therefore reduces the thermal buckling temperatures. It is observed that the presence of the foam structure significantly improves the thermal resistance of the material and increases the buckling temperatures. It is also observed that the foam distribution model has significant effects on the thermomechanical behaviour.
High-Energy–Density Fiber Supercapacitors Based on Transition Metal Oxide Nanoribbon Yarns for Comprehensive Wearable Electronics
Authors: Ahn Junseong , Padmajan Sasikala Suchithra , Jeong Yongrok , Kim Jin Goo , Ha Ji-Hwan , Hwang Soon Hyoung , Jeon Sohee , Choi Junhyuk , Kang Byung-Ho , Ahn Jihyeon , Jeong Jun-Ho , Kim Sang Ouk , Park Inkyu 
Published: July 2024

AbstractFiber supercapacitors (FSs) based on transition metal oxides (TMOs) have garnered considerable attention as energy storage solutions for wearable electronics owing to their exceptional characteristics, including superior comfortability and low weights. These materials are known to exhibit high energy densities, high specific capacitances, and fast redox reactions. However, current fabrication methods for these structures primarily rely on chemical deposition, often resulting in undesirable material structures and necessitating the use of additives, which can degrade the electrochemical performance of such structures. Herein, physically deposited TMO nanoribbon yarns generated via delamination engineering of nanopatterned TMO/metal/TMO trilayer arrays are proposed as potential high-performance FSs. To prepare these arrays, the target materials were initially deposited using a nanoline mold, and subsequently, the nanoribbon was suspended through selective plasma etching to obtain the desired twisted yarn structures. Because of the direct formation of TMOs on Ni electrodes, a high energy/power density and excellent electrochemical stability were achieved in asymmetric FS devices incorporating CoNixOy nanoribbon yarns and graphene fibers. Furthermore, a triboelectric nanogenerator, pressure sensor, and flexible light-emitting diode were synergistically combined with the FS. The integration of wearable electronic components, encompassing energy harvesting, energy storage, and powering sensing/display devices, is promising for the development of future smart textiles.
Graphical Abstract
Analyzing Data Streams from Cyber-Physical-Systems: A Case Study
Authors: Beyel Harry H. , Makke Omar , Pourbafrani Mahsa , Gusikhin Oleg , van der Aalst Wil M. P. 
Published: July 2024

AbstractWe show that conducting a process-mining-centric analysis concerning cyber-physical systems provides insights into usage behavior. To show that, we perform our analysis on connected-vehicle data. We transform connected-vehicle data into an event log. We analyze the resulting event log using various process-mining techniques. In particular, we apply basic statistical analysis as well as process-discovery and conformance-checking techniques to receive a well-representative process model. We apply various process-enhancement techniques to get deeper insights. Finally, we capture a multi-perspective view using a state-based approach. We show deviations between a de-jure model and our picked process model, leading to better knowledge concerning real user behavior. We observed that the predefined escalation of warning states does not happen. Additionally, we verified system requirements. Furthermore, we show that the reasons for drivers’ behavior are not related to system issues. Applying process-mining techniques to data concerning cyber-physical systems provides valuable insights into their functionality in a real-world setting. By utilizing process-mining techniques, we can extract insights to a human-understandable level and provide a well-studied access point.
Physicochemical Properties of Two Mexican Stingless Bee Honeys to Strengthen Their Biocultural Value
Authors: Xolalpa-Aroche Aurora , Hernández-Mena David I. , Moguel-Chin Wilson I. , Contreras-Peruyero Haydeé , Rivero-Cruz Blanca E. , Ortiz-Vázquez Elizabeth , Rivero-Cruz J. Fausto , M. Rodrigo A. Velarde , Delgado-Suárez Enrique J. 
Published: July 2024

AbstractHoney production in Mexico is an ancient economic, social, and biocultural activity for indigenous communities, Mayas, and Totonacs, among others. Stingless bee honeys are used in traditional medicine to treat gastrointestinal, respiratory, dermatological, and ophthalmic ailments as they contain compounds with antioxidant, antibacterial, anti-inflammatory, and antifungal activities. Here, a comprehensive physicochemical characterization of Mexican stingless bee honeys is presented as a contribution to strengthening the practice of meliponiculture by native Mayan and Totonac communities. By delivering information on the main physicochemical parameters for the honeys of Melipona beecheii and Scaptotrigona mexicana, it is intended to increase their commercial and biocultural value in different regions of Mexico, taking into consideration the different zootechnical management techniques used by these communities. A statistical analysis was performed to identify if there were significant differences in the physicochemical parameters evaluated. Significant differences were observed in moisture level, pH, sugar composition, and HMF content between at least two of the honeys analyzed. Furthermore, a principal component analysis confirmed these differences by showing a distinct profile for Scaptotrigona mexicana honey when compared to the honeys of two other species. Here, the information that stingless beekeepers can use to classify and characterize the honeys they produce is provided. This information will complement the indisputable efforts by native populations to conserve biological biodiversity, the defense of their territories, and the various ancestral practices employed for the breeding, management, and reproduction of stingless bees. Furthermore, this information will help to increase the economic sustainability of meliponiculture by these communities.
Graphical Abstract
Coping strategies adapted by parents caring for children with cancer: a qualitative exploratory study in Ghana
Authors: Marfo Margaret , Acheampong Angela Kwartemaa , David Deegbe Atsu , Aziato Lydia 
Published: July 2024

Abstract
Background
Caring for children with cancer by parents in Ghana is associated with diverse psychological and emotional burdens. However, such parents utilize coping strategies to adjust to their distressing situations. There is dearth of literature on the coping strategies of parents of children diagnosed with cancer in Ghana. Therefore, this study sought to explore the coping strategies adapted by parents of children with cancer.

Methods
A qualitative exploratory descriptive design was employed to conduct the study. Purposive sampling method was used to recruit seventeen parents of children with cancer. Semi-structured interview guide was used to conduct in-depth data collection. Data was analysed using content analysis approach.

Results and discussion
Parents reported that emotional and spiritual support enhanced parental coping to the ordeal associated with caring for children with cancer. The parents shared that counselling, self-motivation and inspiration from family and health professionals immensely assisted them to cope. Spiritual support through personal belief in God, religious activities and support from their priests and church members were other strategies parents employed to cope with the traumatising experience associated with caring for children with cancer.

Conclusion
This study concludes that parents of children with cancer are better able to cope with the distress encountered in their children’s care journey through emotional and spiritual support.
A human-in-the-loop method for pulmonary nodule detection in CT scans
Authors: Zeng Qingjie , Xie Yutong , Lu Zilin , Xia Yong 
Published: July 2024

AbstractAutomated pulmonary nodule detection using computed tomography scans is vital in the early diagnosis of lung cancer. Although extensive well-performed methods have been proposed for this task, they suffer from the domain shift issue between training and test images. Unsupervised domain adaptation (UDA) methods provide a promising means to mitigate the domain variance; however, their performance is still limited since no target domain supervision is introduced. To make the pulmonary nodule detection algorithm more applicable in clinical practice and further boost the performance across domains, we propose a human-in-the-loop method in a semi-supervised fashion to enhance the model generalization ability when transferred from source domain to target domain. Specifically, we first train a detector model on source domain, and then the pre-trained detector is utilized with our proposed uncertainty-guided sample selection scheme (USSS) to find a few target domain samples worth annotating most and obtain their human annotations. Finally, the annotated and the rest unlabeled target domain samples are used together to refine the pre-trained model via our proposed zoom-in and zoom-out constraint (ZZC) strategy. We evaluate our method on the Nodule Analysis 2016 (LUNA16) and TianChi datasets. Experimental results show that our method surpasses recent competitive methods on source domain and also achieves surprising performance on target domain.
Urban security challenges in major cities, with a specific emphasis on privacy management in the metropolises
Authors: Khaliji Mohammad Ali , Jafarpour Ghalehteimouri Kamran 
Published: July 2024

AbstractThe rapid growth of urban populations, particularly in the global south, has led to significant challenges in urban security. Insufficient urban security measures can hinder the achievement of future development goals. This study explores the impact of rapid urbanization in capital cities on social, cultural, and environmental issues. The influx of individuals who are not fully integrated into the city can compromise urban security and increase vulnerability in certain groups and areas. The research aims to investigate urban privacy in relation to urban security, with a specific focus on privacy management in the capital city. The study utilizes an applied approach with a descriptive and analytical methodology. The statistical population consists of 856,565 individuals, with a sample of 383 people selected through simple random sampling. The questionnaire was validated by experts, and the reliability of different sections was assessed using Cronbach’s alpha. The findings highlight the influence of factors such as lack of collaboration among security experts, diverse attitudes and political views, and legal and managerial differences on urban privacy vulnerability. Many studies have focused on general urban issues or specific crimes without addressing urban security. Weak regulations, inadequate plans and budgets, and a lack of security equipment are identified as variables affecting the security of the capital city. Managerial, legal, and structural vulnerabilities contribute to insecurity, lawlessness, cultural disparities, and a lack of safety and security in Tehran. The factor with the greatest impact (16.07%) is "coalition between security professionals," while the factor with the smallest impact (6.32%) is "sufficient security for investment and safety in night travel" among the total variables.
Urine biomarkers in type 2 diabetes mellitus with or without microvascular complications
Authors: Zhang Chanyuan , Liu Tiebing , Wang Xiaoqian , Yang Jing , Qin Dongfang , Liang Yin , Wang Xuejing 
Published: July 2024

Abstract
Objective
To investigate the distribution of nine (9) urine biomarkers in people living with type 2 diabetes mellitus (T2DM), with or without microvascular complications.

Methods
In total, 407 people with T2DM were enrolled from 2021 to 2022. According to diabetic retinopathy (DR) and urinary albumin-creatinine ratio (UACR), the 407 people were divided into four (4) groups, DR(–)UACR(–), DR(+)UACR(–), DR(–)UACR(+), and DR( + )UACR(+). In addition, 112 healthy volunteers were enrolled during the same period. The nine (9) urine markers included α1-microglobulin (u-α1MG), immunoglobulin G (u-IgG), neutrophil gelatinase-associated lipid carrier protein (u-NGAL), cystatin C (u-CysC), retinol-binding protein (u-RBP), β2-microglobulin (u-β2MG), N-acetyl-β-D-glucosaminidase (u-NAG), transferrin (u-Trf), and collagen type IV (u-Col). For each marker, the respective level of 97.5 percentile in healthy volunteers was taken as an upper reference limit.

Results
Among the 407 people, 248 individuals (61%) were DR(–)UACR(–), 100 (25%) were DR(-)UACR(+), 37 (9%) were DR(+)UACR(–), and 22 (5%) were DR(+)UACR(+). The u-NAG/Cr biomarker level showed a significant difference between healthy participants and people with T2DM. In the DR(–)UACR(–)group, u-Trf/Cr showed the highest positive rate (21.37%), followed by u-IgG/Cr (14.52%); u-NAG/Cr (10.48%); u-β2MG/Cr (4.44%); u-CysC/Cr (4.03%); u-NGAL/Cr (4.03%); u-RBP/Cr (2.82%); u-α1MG/Cr (2.42%); 17.34% of people with T2DM showed multiple biomarkers positive (≥2 biomarkers). The positive rates of one biomarker (21.33%) and two biomarkers (18.67%) in people who have less than five (5) years of T2DM were almost close to those of the DR(–)UACR(–) group (21.37%, and 12.10%, respectively).

Conclusion
Renal tubule biomarkers may be used as an indicator in the early detection and monitoring of renal injury in diabetes mellitus. The u-NAG biomarker should be measured for the people with T2DM of the first-time diagnosis.
Developing and validating a Modified Cachexia Index to predict the outcomes for colorectal cancer after radical surgery
Authors: Yuan Qinggang , Liu Lixiang , Wang Kai , Zhou Shizhen , Miao Ji , Gao Bo , Ding Chao , Guan Wenxian 
Published: July 2024

Abstract
Background
It was reported that the cachexia index (CXI: $$\frac{{\rm{ALB}}* {\rm{SMI}}}{{\rm{NLR}}}$$

ALB
*
SMI

NLR

) was an essential index for predicting the prognosis of tumor patients. However, since for SMI needs to be measured by CT imaging methods and its calculation was inconvenient. Thus, we developed a modified cachexia index (mCXI: $$\frac{{\rm{ALB}}}{{\rm{NLR}}* {\rm{UCR}}}$$

ALB

NLR
*
UCR

). The purpose of this study was to evaluate the association between mCXI and prognosis in patients with colorectal cancer.

Methods
An analysis of 215 patients with newly diagnosed colorectal cancer was carried out retrospectively. An optimal cut-off value of mCXI was established by the receiver operating characteristic (ROC) curves for predicting prognosis. Prognostic implications of mCXI were investigated using Kaplan–Meier curves and Cox regression analysis. A comparative assessment of the predictive capacity between mCXI and the CXI was performed using time-dependent receiver operating characteristic analysis.

Results
Patients were classified into two groups based on the cut-off value of mCXI: the LOW mCXI group (n = 60) and the HIGH mCXI group (n = 155). The 3-year Overall survival (OS) (76.6% vs 96.7%, p < 0.01) and 3-year Recurrence-free survival (RFS) (68.3% vs 94.1%, p < 0.01) were significantly worse in the LOW mCXI group in contrast to that in the HIGH mCXI group. In Cox multivariate regression analysis, mCXI was an independent prognostic factor for OS (HR = 8.951, 95%CI: 3.105–25.807, <0.01). Moreover, compared with CXI (AUC = 0.723), mCXI (AUC = 0.801) has better predictive efficacy, indicating that mCXI is more suitable for prognostic assessment.

Conclusions
The mCXI significantly correlated with survival outcomes for colorectal cancer patients after radical surgery.