bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of faba bean nectar on longevity and fecundity of Plutella xylostella and its parasitoid Cotesia vestalis
Authors: Ruhanen Helena M. , Räty Emma , Mäkinen Joonas , Kasurinen Anne , Blande James D. 
Published: May 2024

AbstractIntercropping faba bean with vegetables provides a possibility to promote pest control and better nutrient cycling in sustainable agriculture. Faba bean produces extrafloral nectar which supports parasitoid wasps that play a role in the biological control of pest insects. However, adult lepidopteran pests also benefit from nectar, increasing their lifespan and the number of offspring they produce. Here, a laboratory-based study was conducted to assess the role of faba bean on the components of a Brassica-based host-parasitoid system. We measured how access to faba bean affected the longevity and fecundity of the brassica pest Plutella xylostella and its parasitoid Cotesia vestalis. It was also studied if odors of flowering faba bean disrupt host finding by C. vestalis in Y-tube bioassays and volatile organic compounds were analyzed to explain the olfaction-based choices made by the parasitoids. The longevity of C. vestalis was 6.6 times longer and the number of pupae produced almost 10 times greater when they had access to faba bean. Meanwhile, the longevity of P. xylostella was 3.6 times longer and it laid 4.6 times more eggs when provided access to faba bean. In Y-tube bioassays, C. vestalis females also oriented toward host-related odors of the damaged cabbage more than intact cabbage when odors of faba bean were mixed with both of them. In conclusion, faba bean provided sustenance to both pest insects and their natural enemies that prolonged their lifespans and their reproductive capacity.
Artificial Intelligence Techniques for the Photovoltaic System: A Systematic Review and Analysis for Evaluation and Benchmarking
Authors: Kumar Abhishek , Dubey Ashutosh Kumar , Segovia Ramírez Isaac , Muñoz del Río Alba , García Márquez Fausto Pedro 
Published: May 2024

AbstractNovel algorithms and techniques are being developed for design, forecasting and maintenance in photovoltaic due to high computational costs and volume of data. Machine Learning, artificial intelligence techniques and algorithms provide automated, intelligent and history-based solutions for complex scenarios. This paper aims to identify through a systematic review and analysis the role of artificial intelligence algorithms in photovoltaic systems analysis and control. The main novelty of this work is the exploration of methodological insights in three different ways. The first approach is to investigate the applicability of artificial intelligence techniques in photovoltaic systems. The second approach is the computational study and analysis of data operations, failure predictors, maintenance assessment, safety response, photovoltaic installation issues, intelligent monitoring etc. All these factors are discussed along with the results after applying the artificial intelligence techniques on photovoltaic systems, exploring the challenges and limitations considering a wide variety of latest related manuscripts.
Italian validation of the mentalization scale (MentS)
Authors: Cosenza Marina , Pizzini Barbara , Sacco Mariagiulia , D’Olimpio Francesca , Troncone Alda , Ciccarelli Maria , Dimitrijević Aleksandar , Nigro Giovanna 
Published: May 2024

AbstractThe research aimed to assess the reliability, factor structure, and validity of the Italian adaptation of the Mentalization Scale (MentS), a 28-item self-report questionnaire that measures mentalization across three dimensions. The psychometric properties of the Italian version were examined in two studies with large samples of adults and adolescents. The first study (Study 1) aimed to evaluate, through exploratory and confirmatory factor analyses, the construct validity of the Italian version of the MentS in adolescents (N = 618) and adults (N = 720). The second study (Study 2) was undertaken to test the convergent validity and temporal stability of the Italian version of the MentS. Specifically, the study assessed the relationship between the MentS and scores on the Reflective Functioning Questionnaire (RFQ-8), one of the most widely used instruments to assess mentalization, in a large sample of high-school students (N = 472). Furthermore, the study evaluated the 4-week test-retest reliability of the instrument in a sample of undergraduates (N = 128). The questionnaire exhibited strong internal consistency across both adult and adolescent samples, with Cronbach’s alphas ranging from 0.71 to 0.83. Exploratory and confirmatory factor analyses consistently identified three correlated underlying factors within both age groups, demonstrating the robust factor structure of the Italian version of the MentS. Furthermore, the tool demonstrated strong convergent validity with the RFQ-8 and acceptable test-retest reliability over a 4-week period. These findings provide compelling evidence supporting the Italian version of the MentS as a reliable and valid self-report measure for comprehensively assessing different facets of mentalization.
Federated Constrastive Learning and Visual Transformers for Personal Recommendation
Authors: Belhadi Asma , Djenouri Youcef , de Alcantara Andrade Fabio Augusto , Srivastava Gautam 
Published: May 2024

AbstractThis paper introduces a novel solution for personal recommendation in consumer electronic applications. It addresses, on the one hand, the data confidentiality during the training, by exploring federated learning and trusted authority mechanisms. On the other hand, it deals with data quantity, and quality by exploring both transformers and consumer clustering. The process starts by clustering the consumers into similar clusters using contrastive learning and k-means algorithm. The local model of each consumer is trained on the local data. The local models of the consumers with the clustering information are then sent to the server, where integrity verification is performed by a trusted authority. Instead of traditional federated learning solutions, two kinds of aggregation are performed. The first one is the aggregation of all models of the consumers to derive the global model. The second one is the aggregation of the models of each cluster to derive a local model of similar consumers. Both models are sent to the consumers, where each consumer decides which appropriate model might be used for personal recommendation. Robust experiments have been carried out to demonstrate the applicability of the method using MovieLens-1M, and Amazon-book. The results reveal the superiority of the proposed method compared to the baseline methods, where it reaches an average accuracy of 0.27, against the other methods that do not exceed 0.25.
Association between wrist-worn free-living accelerometry and hand grip strength in middle-aged and older adults
Authors: Crowe Colum , Barton John , O’Flynn Brendan , Tedesco Salvatore 
Published: May 2024

Abstract
Introduction
Wrist-worn activity monitors have seen widespread adoption in recent times, particularly in young and sport-oriented cohorts, while their usage among older adults has remained relatively low. The main limitations are in regards to the lack of medical insights that current mainstream activity trackers can provide to older subjects. One of the most important research areas under investigation currently is the possibility of extrapolating clinical information from these wearable devices.

Methods
The research question of this study is understanding whether accelerometry data collected for 7-days in free-living environments using a consumer-based wristband device, in conjunction with data-driven machine learning algorithms, is able to predict hand grip strength and possible conditions categorized by hand grip strength in a general population consisting of middle-aged and older adults.

Results
The results of the regression analysis reveal that the performance of the developed models is notably superior to a simple mean-predicting dummy regressor. While the improvement in absolute terms may appear modest, the mean absolute error (6.32 kg for males and 4.53 kg for females) falls within the range considered sufficiently accurate for grip strength estimation. The classification models, instead, excel in categorizing individuals as frail/pre-frail, or healthy, depending on the T-score levels applied for frailty/pre-frailty definition. While cut-off values for frailty vary, the results suggest that the models can moderately detect characteristics associated with frailty (AUC-ROC: 0.70 for males, and 0.76 for females) and viably detect characteristics associated with frailty/pre-frailty (AUC-ROC: 0.86 for males, and 0.87 for females).

Conclusions
The results of this study can enable the adoption of wearable devices as an efficient tool for clinical assessment in older adults with multimorbidities, improving and advancing integrated care, diagnosis and early screening of a number of widespread diseases.
Attributional styles are associated with care burden in geriatric depression: older adults and their caregivers in Taiwan
Authors: Chen Ching-Yen , Chen Jian‑Hong , Ree Shao‑Chun , Chen Chia‑Hui , Yu Sheng-Hsiang 
Published: May 2024

Abstract
Background
Given the rising prevalence of depression among older adults and the associated increase in caregiving responsibilities, understanding factors influencing caregiver burden is crucial. Previous research has not extensively explored the impact of caregivers’ attributional styles, that is, how individuals interpret the causes of life events, on their care burden.

Aim
This study examined the relationship between caregivers’ attributional styles and their care burden for older patients with depression.

Methods
This cross-sectional study enrolled older adults aged ≥ 65 years diagnosed with depression and their caregivers. Depression was diagnosed according to the DSM-V criteria for Major Depressive Disorder or Persistent Depressive Disorder. Caregivers completed the Chinese Depression Caregiver Burden Scale (CDCBS) to assess care burden, the Hamilton Depression Rating Scale (HAM-D) to evaluate patient symptom severity, the Center for Epidemiological Studies Depression Scale (CES-D) for measuring caregivers’ depression, and the Chinese Depression Patient Caregiver Attribution Style Scale (CDPCAS) to assess attributional styles. Hierarchical regression analysis was used to identify the factors independently associated with the caregiver’s subjectively assessed care burden.

Results
The sample included 146 caregivers of geriatric patients with depression. Most depression patients were women (74.7%) with a mean age of 74.3 years, whereas the mean age of caregivers was 57.7 years. Hierarchical regression analysis identified that caregivers’ gender (β = − 0.14, p = .044), educational level (β = 0.19, p = .008), caregivers’ own depression assessed by the Center for Epidemiological Studies Depression Scale (β = 0.41, p < .001), and attributional styles, particularly manipulation (β = 0.29, p < .001) and illness/stress attributional style (β = 0.23, p = .002) as independent factors associated with care burden. Patient symptom severity assessed using the Hamilton Depression Scale was not significantly correlated with care burden after controlling for attributional styles.

Conclusions
Certain attributional styles, particularly the manipulation and illness/stress attributional styles, significantly increased self-reported care burden. These findings highlight the need for educational resources to change the attribution style, along with support systems and accessible mental health services for caregivers to potentially ease the care burden.
Agents, Actions, and Mere Means: A Reply to Critics
Authors: Kleingeld Pauline 
Published: May 2024

AbstractThe prohibition against using others ‘merely as means’ is one of Kant’s most famous ideas, but it has proven difficult to spell out with precision what it requires of us in practice. In ‘How to Use Someone “Merely as a Means”’ (2020), I proposed a new interpretation of the necessary and sufficient conditions for using someone ‘merely as a means’. I argued that my agent-focused actual consent interpretation has strong textual support and significant advantages over other readings of the prohibition. In the present essay, I respond to comments by Claudia Blöser, Irina Schumski, and Oliver Sensen. I first address the role of maxims in relation to the Formula of Humanity, and I spell out in more detail the relation between the agent’s belief and the actual facts pertaining to the consent of the person who is used as means to the agent’s end. I then discuss the importance of the requirement that agents make their use of others conditional on the others’ consent as a matter of moral principle. I next show that the proposed reading of the prohibition, despite its focus on the agent’s maxims and practical reasoning, yields important conclusions about the moral status of external actions, and I address several cases that are purported to spell trouble for my reading of Kant’s prohibition. I end by outlining two challenges for possible (rational) consent readings of the prohibition against using others merely as means.
Evaluating optimal reference translations
Authors: Zouhar Vilém , Kloudová Věra , Popel Martin , Bojar Ondřej 
Published: May 2024

Abstract
The overall translation quality reached by current machine translation (MT) systems for high-resourced language pairs is remarkably good. Standard methods of evaluation are not suitable nor intended to uncover the many translation errors and quality deficiencies that still persist. Furthermore, the quality of standard reference translations is commonly questioned and comparable quality levels have been reached by MT alone in several language pairs. Navigating further research in these high-resource settings is thus difficult. In this paper, we propose a methodology for creating more reliable document-level human reference translations, called “optimal reference translations,” with the simple aim to raise the bar of what should be deemed “human translation quality.” We evaluate the obtained document-level optimal reference translations in comparison with “standard” ones, confirming a significant quality increase and also documenting the relationship between evaluation and translation editing.
The pioneers of vestibular physiology in the 19th century
Authors: Dasgupta Soumit , Mandala Marco , Guneri Enis Alpin , Bassim Marc , Tarnutzer Alexander Andrea 
Published: May 2024

AbstractIt was known from ancient times that vertigo was a malady and that the inner ears of animals contained an intricate network of structures named the labyrinth, whose function was unknown. The flourishing of human vestibular anatomy in the Renaissance period still adhered to age-old notions of traditional spiritual philosophy. In the post-Renaissance period, when science was being redefined and challenging these traditional thoughts, vestibular physiology was born. Started by Flourens, it gathered momentum with Hogyes, Goltz, Breuer, Mach, Crum Brown, Ewald, Brown Sequard and Baginsky in the 19th century. They discovered the role of the vestibular organ in sensing balance and the fine intricacies of vestibular physiology valid to this day. Ménière shattered the concept of traditional aetiology of vertigo and de Cyon challenged the Kantian concept of space. The science catapulted to the modern century. This article traces the history of these pioneers of vestibular physiology.
Towards the understanding of molecular motors and its relationship with local unfolding
Authors: Alavi Zahra , Casanova-Morales Nathalie , Quiroga-Roger Diego , Wilson Christian A.M. 
Published: May 2024

Abstract
Molecular motors are machines essential for life since they convert chemical energy into mechanical work. However, the precise mechanism by which nucleotide binding, catalysis, or release of products is coupled to the work performed by the molecular motor is still not entirely clear. This is due, in part, to a lack of understanding of the role of force in the mechanical–structural processes involved in enzyme catalysis. From a mechanical perspective, one promising hypothesis is the Haldane–Pauling hypothesis which considers the idea that part of the enzymatic catalysis is strain-induced. It suggests that enzymes cannot be efficient catalysts if they are fully complementary to the substrates. Instead, they must exert strain on the substrate upon binding, using enzyme-substrate energy interaction (binding energy) to accelerate the reaction rate. A novel idea suggests that during catalysis, significant strain energy is built up, which is then released by a local unfolding/refolding event known as ‘cracking’. Recent evidence has also shown that in catalytic reactions involving conformational changes, part of the heat released results in a center-of-mass acceleration of the enzyme, raising the possibility that the heat released by the reaction itself could affect the enzyme’s integrity. Thus, it has been suggested that this released heat could promote or be linked to the cracking seen in proteins such as adenylate kinase (AK). We propose that the energy released as a consequence of ligand binding/catalysis is associated with the local unfolding/refolding events (cracking), and that this energy is capable of driving the mechanical work.
Social engagement and wellbeing in late life: a systematic review
Authors: Monteiro Joana Miguelote , Gonçalves Raquel , Bastos Alice , Barbosa Maria Raquel 
Published: May 2024

Abstract
Social engagement is considered a relevant modifiable factor for older adults' wellbeing. Theory and policies highlight its importance for ageing well. Empirical evidence shows that social activities are associated with positive psychological outcomes and might buffer wellbeing declines in late life. Despite growing research, social engagement lacks conceptual clarity, it is difficult to adopt standardised measures and findings are sometimes inconsistent. Previous systematic reviews either take a different approach to this topic or were published over a decade ago. Therefore, the present study aimed to review the literature systematically regarding the relationship between social engagement and wellbeing in community-dwelling older adults. Papers published from 2000 to 2021 were searched in five databases using a combination of terms. The reviewers screened the records according to predefined inclusion and exclusion criteria. After identifying eligible articles, the authors extracted data and produced a narrative synthesis covering conceptualisation, measurement and main findings. The review includes 42 papers. Despite great conceptual and methodological diversity, research supports that older adults with higher participation in social activities have improved wellbeing. Findings also suggest that these associations are stronger for individuals with disadvantages and have a cumulative nature whereby the greater the social engagement, the higher the wellbeing. Conversely, for more demanding activities, there might be optimal participation levels. Regardless of accumulating knowledge, social engagement remains diffuse and difficult to measure. This paper summarises the current state of research on this topic, showing encouraging evidence of social engagement benefits, but also questions that deserve further inquiry. Future studies should be anchored in a clear conceptual framework, use robust measures, and explore hedonic and eudaimonic wellbeing. Social engagement can be an important developmental resource for social interventions and policies aimed at improving people's lives.
Tache with Trash: an image of integrating art with upcycling in the city of the future
Authors: Heidari Amin 
Published: May 2024

SummaryArt is rarely imagined as a strategic approach in the design of the future city. The purpose here is to offer a perspective on future cities that resides at the intersection of art and the practice of upcycling. I dub this perspective ‘Tache with Trash’, offering an artistic design for busy locales based on transforming recyclable waste into a vibrant spectrum of colours. Applicable in places like shopping malls, campuses and convention centres, I envision individuals disposing of trash in a shredding machine that injects those fragments into transparent containers, such as glass ornaments and glass wall panels. Disposing of recyclable trash becomes like dabbing a tache (stain, spot, blob) of pigment on an artwork. Rooted in the theoretical framework of ‘envisioning the future’, this perspective is inspired by the ‘junk art’ genre and aims to integrate communal art with sustainable upcycling. The benefits of the perspective include enhancing social interaction on sustainability, serving as a tool for younger generations’ sustainability education, providing a platform for local artists and assisting crowded centres with economization.
A prismatic view of the epigenetic-metabolic regulatory axis in breast cancer therapy resistance
Authors: Das Chandrima , Bhattacharya Apoorva , Adhikari Swagata , Mondal Atanu , Mondal Payel , Adhikary Santanu , Roy Siddhartha , Ramos Kenneth , Yadav Kamlesh K. , Tainer John A. , Pandita Tej K. 
Published: May 2024

AbstractEpigenetic regulation established during development to maintain patterns of transcriptional expression and silencing for metabolism and other fundamental cell processes can be reprogrammed in cancer, providing a molecular mechanism for persistent alterations in phenotype. Metabolic deregulation and reprogramming are thus an emerging hallmark of cancer with opportunities for molecular classification as a critical preliminary step for precision therapeutic intervention. Yet, acquisition of therapy resistance against most conventional treatment regimens coupled with tumor relapse, continue to pose unsolved problems for precision healthcare, as exemplified in breast cancer where existing data informs both cancer genotype and phenotype. Furthermore, epigenetic reprograming of the metabolic milieu of cancer cells is among the most crucial determinants of therapeutic resistance and cancer relapse. Importantly, subtype-specific epigenetic-metabolic interplay profoundly affects malignant transformation, resistance to chemotherapy, and response to targeted therapies. In this review, we therefore prismatically dissect interconnected epigenetic and metabolic regulatory pathways and then integrate them into an observable cancer metabolism-therapy-resistance axis that may inform clinical intervention. Optimally coupling genome-wide analysis with an understanding of metabolic elements, epigenetic reprogramming, and their integration by metabolic profiling may decode missing molecular mechanisms at the level of individual tumors. The proposed approach of linking metabolic biochemistry back to genotype, epigenetics, and phenotype for specific tumors and their microenvironment may thus enable successful mechanistic targeting of epigenetic modifiers and oncometabolites despite tumor metabolic heterogeneity.