bluuebunny/crossref_metadata_2025_split huggingface dataset:
A novel W13 deep CNN structure for improved semantic segmentation of multiple objects in remote sensing imagery
Authors: Elgamily Khaled Mohammed , Mohamed M. A. , Abou-Taleb Ahmed Mohamed , Ata Mohamed Maher 
Published: January 2025

Abstract
This paper proposes a novel convolutional neural network (CNN) architecture designed for semantic segmentation in remote sensing images. The proposed W13 Net model addresses the inherent challenges of segmentation tasks through a carefully crafted architecture, combining the strengths of multistage encoding–decoding, skip connections, combined weighted output, and concatenation techniques. Compared with different segmentation models, the suggested model performs better. A comprehensive analysis of different segmentation models has been carried out, resulting in an extensive comparison between the proposed W13 Net and five existing state-of-the-art segmentation architectures. Utilizing two standardized datasets, the Dense Labeling Remote Sensing Dataset Termed (DLRSD), and the Mohammad Bin Rashid Space Center (MBRSC) Dubai Aerial Imagery Dataset, the evaluation entails training, testing, and validation across different classes. The W13 Net demonstrates adaptability, generalization capabilities, and superior results in key metrics, all while displaying robustness across a variety of datasets. A number of metrics, including accuracy, precision, recall, F1 score, and IOU, were used to evaluate the system’s performance. According to the experimental results, the W13 Net model obtained an accuracy of 87.8%, precision of 0.88, recall of 0.88, F1 score of 0.88, and IOU of 0.74. The suggested model showed a significant improvement in segmentation IOU, with an increase of up to 18%, when compared to other with the recent segmentation models taking into consideration the model’s comparatively low number of parameter (2.2 million) in comparison with the recent models.
Agency and cruel optimism in the care obfuscations of UK-based academic mothers
Authors: Etheridge Mollie 
Published: January 2025

AbstractThis article introduces the concept of “care obfuscation”, developed from interviews with 32 UK-based academic mothers about their experience of the transition to parenthood. Care obfuscation refers to the workplace conduct of hiding, underestimating or denying the impact of caregiving responsibilities on professional performance, reflecting the broader dismissal of care and care work in modern neoliberal society. The article outlines the empirical and theoretical contributions of care obfuscation to higher education research and motherhood studies. Specifically, it draws from theories of neoliberalism, “good” motherhood and cruel optimism to investigate how and why obfuscatory behaviours vary in direction and intention across different parental experiences, professional activities and levels of seniority. Whilst, as a practice, obfuscation can help academic mothers project the image of the “ideal worker”, obfuscation can also offer temporary relief from the emotional challenges which arise from being held against conflicting professional and personal expectations. Through advancing an alternative framework by which to consider the silences that come with mothering in academia, this work on obfuscation deepens the study of care exclusion, revealing how such exclusion is often non-quantifiable and even perpetuated by those at-risk of exclusion. In advocating for further theorization of obfuscation, this paper calls for the development of initiatives that seek to heighten not merely the productivity levels of academic mothers but the visibility of academic caregivers and caregiving.
Investigating Drivers of Customer Experience with Virtual Conversational Agents
Authors: Nguyen Trong Huu , Trivedi Rohit H. , Fukukawa Kyoko , Adomako Samuel 
Published: January 2025

AbstractBuilding on the perspectives of the uses & gratification (U&G) theory and stimulus-organism-response (S–O-R) model, this article develops and tests an integrative framework to examine the underlying factors influencing customers’ experiences with chatbots as a form of virtual conversational agent (VCA) in the UK and Vietnam. In addition to utilitarian and hedonic factors, anthropomorphism and social presence are also investigated, which are considered important experiential dimensions in a customer-machine relationship. We also explore how stimuli such as functionality, communication style similarity, and aesthetics indirectly affect outcomes like customer satisfaction and reuse intention, mediated by four types of customer experiences. Data collected from a sample of 417 and 359 participants in the UK and Vietnam respectively revealed that, in general, perceived informativeness, credibility, enjoyment, functionality, and communication style similarity are crucial for customer satisfaction in both countries. Interesting differences in the effects of customer experience between developed and developing countries were observed. For instance, the effects of anthropomorphism and social presence on satisfaction are only effective for customers from developed country, while those from developing country only need information provided by chatbots be transparent. Our findings offer a novel way to understand customer experience with chatbots and provide important theoretical and managerial implications.
Filling the Gaps—Computational Approaches to Incomplete Archaeological Networks
Authors: Priß Deborah , Wainwright John , Lawrence Dan , Turnbull Laura , Prell Christina , Karittevlis Christodoulos , Ioannides Andreas A. 
Published: January 2025

AbstractNetworks are increasingly used to describe and analyse complex archaeological data in terms of nodes (archaeological sites or places) and edges (representing relationships or connections between each pair of nodes). Network analysis can then be applied to express local and global properties of the system, including structure (e.g. modularity) or connectivity. However, the usually high amount of missing data in archaeology and the uncertainty they cause make it difficult to obtain meaningful and robust results from the statistical methods utilised in the field of network analysis. Hence, we present in this paper manual and computational methods to (1) fill gaps in the settlement record and (2) reconstruct an ancient route system to retrieve a network that is as complete as possible. Our study focuses on the sites and routes, so-called hollow ways, in the Khabur Valley, Mesopotamia, during the Bronze and Iron Age as one of the most intensively surveyed areas worldwide. We were able to predict additional sites that were missing from the record as well as develop an innovative hybrid approach to complement the partly preserved hollow way system by integrating a manual and computational procedure. The set of methods we used can be adapted to significantly enhance the description of many other cases, and with appropriate extensions successfully tackle almost any archaeological region.
Unravelling the genetic architecture of soybean tofu quality traits
Authors: Döttinger Cleo A. , Steige Kim A. , Hahn Volker , Bachteler Kristina , Leiser Willmar L. , Zhu Xintian , Würschum Tobias 
Published: January 2025

Abstract
Tofu is a popular soybean (Glycine max (L.) Merr.) food with a long tradition in Asia and rising popularity worldwide, including Central Europe. Due to the labour-intensive phenotyping procedures, breeding for improved tofu quality is challenging. Therefore, our objective was to unravel the genetic architecture of traits relevant for tofu production in order to assess the potential of marker-assisted selection and genomic selection in breeding for these traits. To this end, we performed QTL mapping with 188 genotypes from a biparental mapping population. The population was evaluated in a two-location field trial, and tofu was produced in the laboratory to evaluate tofu quality. We identified QTL for all investigated agronomic and quality traits, each explaining between 6.40% and 27.55% of the genotypic variation, including the most important tofu quality traits, tofu yield and tofu hardness. Both traits showed a strong negative correlation (r = -0.65), and consequently a pleiotropic QTL on chromosome 10 was found with opposite effects on tofu hardness and tofu weight, highlighting the need to balance selection for both traits. Four QTL identified for tofu hardness jointly explained 68.7% of the genotypic variation and are possible targets for QTL stacking by marker-assisted selection. To exploit also small-effect QTL, genomic selection revealed moderate to high mean prediction accuracies for all traits, ranging from 0.47 to 0.78. In conclusion, inheritance of tofu quality traits is highly quantitative, and both marker-assisted selection and genomic selection present valuable tools to advance tofu quality by soybean breeding.
Progress of laser cleaning technology from the perspective of Chinese patents
Authors: Li Zhe , Zheng Wanqing , Wang Sijie , Wang Yingjie , Pan Yaokun 
Published: January 2025

AbstractLaser cleaning technology has emerged as a rapidly developing high-tech surface engineering technology in recent years. It is considered the most promising green cleaning technology in the 21st century, and related patent applications exhibit an explosive growth trend. This study summarizes the overall trend of patent applications in laser cleaning in China, with a focus on systematically analyzing patents related to cleaning different substrates and coatings, cleaning equipment, and processes over the past 6 years. The main characteristics of the growth trend, institutional attributes, regional distribution, and type proportion of laser cleaning patent applications in China are clarified. The patent application characteristics of laser cleaning for different substrate materials and coatings are identified. The progress in research and development of laser cleaning equipment, cleaning terminals, and monitoring devices is outlined, while potential for maintaining substrate surface integrity and achieving surface functionalization through laser cleaning is explored. Areas for improvement in laser cleaning are determined to support the innovative development of laser cleaning technology.
Subjective Outcome Evaluation of a Positive Youth Development Program in Mainland China during the COVID-19 Pandemic
Authors: Zhu Xiaoqin , Shek Daniel TL , Gong Ziqian , Tang Yiting 
Published: January 2025

Abstract
Objectives
This study aimed to replicate the evaluation findings of a youth program adopting a positive youth development (PYD) approach implemented during the pandemic years of 2020–2021 and 2021–2022 in China mainland using a validated subjective outcome evaluation (SOE) assessment tool.

Methods
A 36-item SOE scale was used to investigate participants’ evaluation of the quality of the PYD program, the quality of the program implementers, and the perceived program benefits. The data were collected from 3,765 (Mage = 13.46, SD = 0.72, 50.4% females) and 2,786 (Mage = 16.24, SD = 0.68, 51.7% females) junior and senior high school students, respectively.

Results
The SOE scale showed an invariant three-factor structure and adequate validity and reliability. Consistent with previous findings, student participants showed favorable perceptions of the youth program’s quality, the quality of the implementers, and the multifaceted benefits of project participation. In addition, senior grade students held more favorable evaluations in comparison to those of junior grade students.

Conclusion
In conjunction with previous research conducted before COVID-19, the present findings support the psychometric properties of the SOE scale and the value of the PYD program across different times.
Oligometastatic Esophagogastric Cancer: Does It Exist and How Do We Treat It?
Authors: Kroese Tiuri E. , Bronzwaer Sebastiaan F. C. , van Rossum Peter S. N. , van Laarhoven Hanneke W. M. , van Hillegersberg Richard 
Published: January 2025

Abstract

Purpose of the Review
This narrative review aims to provide an overview of recently completed randomized trials and expert consensus recommendations, and their implications for clinical practice and future trial design in patients with de-novo esophagogastric oligometastatic disease (OMD).

Recent Findings
The IKF-575/RENAISSANCE phase III trial showed no significant overall survival difference between systemic therapy alone and systemic therapy combined with local therapy for patients with gastric or gastroesophageal junction cancer and de-novo OMD, except for patients with retroperitoneal lymph node metastases only. The ESO-Shanghai 13 phase II trial demonstrated superiority of adding local therapy to systemic therapy for progression-free and overall survival in oligometastatic esophageal squamous cell carcinoma. The OMEC project developed a multidisciplinary European consensus for OMD, proposing a restrictive definition of OMD. Clinical trial assessing the optimal treatment of care are urgently needed.

Summary
The findings highlight the importance of strict patient selection for local metastasis-directed treatment and the need for stratifying patients based on histology and location of metastases. Future research should focus on identifying biomarkers and clinical features to guide multidisciplinary treatment approaches for OMD
Steps towards a New Humanism in the Mental Health Disciplines - An Interview with Tim Ingold
Authors: Bertelsen Bård , Hillesund Odd Kenneth , Bøe Tore Dag , Lidbom Per Arne , Sundet Rolf , Ingold Tim 
Published: January 2025

AbstractThis interview article explores how British anthropologist Tim Ingold’s work can inspire innovation in mental health and the psy disciplines. Ingold critiques dominant biomedical and individualistic approaches, arguing for the importance of caring attentiveness and abolishing dichotomies like those between surface and depth, when engaging with people to understand and assist them. Instead, he suggests viewing human existence as correspondences with environmental, social, and relational others. The interview highlights the concept of “doing-undergoing,” proposing that care is a reciprocal, relational process. Ingold’s ideas suggest a shift towards practices that engage directly with the world and promote attentiveness to human and more-than-human relations. The article encourages practitioners, educators and students of mental health disciplines to rethink traditional models and adopt more humane approaches.
On n-associative formal power series over rings
Authors: El-Deken Susan F. , Fripertinger Harald 
Published: January 2025

AbstractConsider a commutative ring R with 1. A formal power series $$F(x_1,\ldots ,x_n)\in R[\![x_1,\ldots ,x_n]\!]$$

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in n variables, $$n\ge 3$$

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≥
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, of order at least 1 is called n-associative, if the following equations $$\begin{aligned} F(F(x_1,\ldots ,x_n),x_{n+1},\ldots ,x_{2n-1})=\ldots = F(x_1,\ldots ,x_{n-1},F(x_n,x_{n+1},\ldots ,x_{2n-1})) \end{aligned}$$

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hold true. This notion generalizes associativity which is the special case for $$n=2$$

n
=
2

. We describe n-associative formal power series over R. Some examples of commutative (or symmetric) n-associative formal power series are presented.
Effects of LinTT1-peptide conjugation on the properties of poly(ethylene glycol)-block-(ε-caprolactone) nanoparticles prepared by the nanoprecipitation method
Authors: Känkänen Voitto , Hirvonen Sami-Pekka , Teesalu Tambet , Hirvonen Jouni , Balasubramanian Vimalkumar , Santos Hélder A. 
Published: January 2025

AbstractFunctionalization of polymer nanoparticles (NPs) with targeting peptides is of interest for drug delivery applications to enhance tumor accumulation and penetration. Herein, we evaluated the feasibility of two different methods for the attachment of a tumor-penetrating peptide LinTT1 (AKRGARSTA) to poly(ethylene glycol)-block-poly(ε-caprolactone) (PCL-PEG) NPs: (1) “post-conjugation” onto pre-formed nanoparticles, and (2) “pre-conjugation”, the synthesis and purification of peptide-polymer conjugates and subsequent nanoprecipitation of the conjugates diluted with non-functionalized polymers. Conjugation of the labelled peptide via maleimide-thiol chemistry was verified by gel permeation chromatography (GPC) and fluorescence measurements. Characterization of NPs with respect to particle size, zeta potential, morphology and peptide content was performed, and their ability to bind to the target protein p32 was tested using a cell-free assay. Importantly, both methods resulted in NPs that were able to bind their target when methyl-terminated PCL-PEG used as the diluent polymer, but not when acid-terminated polymer was used. Moreover, peptide conjugation induced a morphological transformation from spheres to vesicles regardless of the conjugation method used. However, smaller and more homogeneous NPs were obtained by the pre-conjugation method.
Associations between frailty and cognitive impairment in Parkinson´s disease: a cross-sectional study
Authors: Sousa-Fraguas M. C. , Rodríguez-Fuentes G. , Lastra-Barreira D. , Conejo N. M. 
Published: January 2025

Abstract
Background
The presence of frailty is common in people with Parkinson’s disease, as is cognitive dysfunction. Previous research on frailty has focused on the physical aspects of the pathology.

Aims
To analyze the relationship between frailty and cognitive impairment in patients with Parkinson’s disease and to know which disease characteristics are associated with frailty.

Methods
An observational, correlational and cross-sectional study was conducted. Participants were recruited from a Home Rehabilitation Service and two Parkinson’s Associations. An individualized assessment was carried out by means of a structured interview. Frailty was assessed with the Fried scale and cognitive function with the Mini Mental State Examination and the Parkinson’s Disease Cognitive Rating Scale.

Results
90 patients were recruited, 60% men, with a mean age of 73.50 (6.71) years. Frailty was associated with age and disease severity (p < 0.05). Frail patients presented worse cognitive performance relative to pre-frail and robust patients. A negative correlation (coefficient − 0.503) was observed between frailty and measures of patients’ cognitive function (p < 0.05).

Discussion
The coexistence of frailty and cognitive impairment should be assessed, as PD patients with both conditions are more vulnerable and have a higher chance of experiencing adverse effects.

Conclusion
Frail patients with Parkinson’s disease present an impairment of cognitive functions dependent on cortical and subcortical regions, being these regions more preserved in the case of robust. The development of programs for early detection of frailty and cognitive function in these patients is necessary to implement strategic intervention plans focused on reversing frailty and cognitive impairment.

Protocol registration number
http://www.ClinicalTrials.gov ID: NCT05388526.
Families of Children/Youth with Complex Needs Before, During, and After COVID-19 Pandemic Restrictions
Authors: Arbeau Kim , Atallah Serena , St. Pierre Jeff 
Published: January 2025

Abstract
During the COVID-19 pandemic, families with children who had complex special needs faced many obstacles and had less resources available to them. Little published research has described post-lockdown family functioning in clinical samples. The current study investigated caregiver well-being, family functioning, and child/youth symptomatology in three Canadian samples of families with children/youth who had pre-existing, complex, emotional, behavioural, developmental, and mental health needs pre-pandemic (clinic intake within 1 year prior to March 2020), COVID pandemic (clinic intake 1 year during societal lockdowns), and post-restrictions (clinic intake between summer 2022 and summer 2023). Cross-sectional archival data (n > 300 in each cohort) were compared from assessments completed by families as standard of care at a tertiary children’s service agency. As predicted, the pandemic intake sample reported significantly more parental mental health challenges, stress, conflicts, and went on fewer recreational outings than the pre-pandemic sample. While parent stress levels and family outing rates in the post-restriction sample resembled the pre-pandemic sample, post-lockdown parental mental health symptoms, family conflict, and family respite levels indicate that families are still recovering. Child symptom levels were high in all three samples, likely a result of intake criteria at this tertiary mental health agency. Research recommendations are offered. Clinical agencies should be mindful that some families of children with complex needs may still be impacted by the COVID-19 pandemic changes and consider using a family oriented, trauma-informed care approach to assess the effect of the pandemic.
Comments on a paper published by Ali Shabani et al. 2024.: how accurate is the SALTMED model in simulating rapeseed yield and growth under different irrigation and salinity levels? Modeling earth systems and environment. Published on line 03 February 2024
Authors: Ragab Ragab 
Published: January 2025

Abstract
The SALTMED model employs the well-known physically based equations. It is a comprehensive integrated management tool for water, crops, farmland and fertilizers. The model was initially developed in 2002 under the SALTMED EU Funded Project and has been subjected to further developments over four EU funded Projects until 2019. In 2020, Wiley dedicated a special issue to SALTMED, compiling 17 papers on SALTMED applications worldwide, as acknowledgement and testimony to SALTMED’s valuable contribution to improve water productivity (Ragab 2020). SALTMED users, and they are many across the world, reported good model results, and currently the model is adopted by many organizations across the world as a reliable management tool. This paper is focused on the only case of wrong application of the SALTMED model in Iran based on the misunderstanding of the model processes. This paper aims to clarify where the authors incorrectly applied the model and how it should have been applied.
A survey on deep learning for polyp segmentation: techniques, challenges and future trends
Authors: Mei Jiaxin , Zhou Tao , Huang Kaiwen , Zhang Yizhe , Zhou Yi , Wu Ye , Fu Huazhu 
Published: January 2025

AbstractEarly detection and assessment of polyps play a crucial role in the prevention and treatment of colorectal cancer (CRC). Polyp segmentation provides an effective solution to assist clinicians in accurately locating and segmenting polyp regions. In the past, people often relied on manually extracted lower-level features such as color, texture, and shape, which often had problems capturing global context and lacked robustness to complex scenarios. With the advent of deep learning, more and more medical image segmentation algorithms based on deep learning networks have emerged, making significant progress in the field. This paper provides a comprehensive review of polyp segmentation algorithms. We first review some traditional algorithms based on manually extracted features and deep segmentation algorithms, and then describe benchmark datasets related to the topic. Specifically, we carry out a comprehensive evaluation of recent deep learning models and results based on polyp size, taking into account the focus of research topics and differences in network structures. Finally, we discuss the challenges of polyp segmentation and future trends in the field.