bluuebunny/crossref_metadata_2025 huggingface dataset:
Integrated transcriptomics, metabolomics and physiological analyses reveal differential response mechanisms of wheat to cadmium and/or salinity stress
Authors: Yue Zonghao , Liu Yongchuang , Zheng Limin , Zhang Qiaoyang , Wang Yifan , Hao Yuwen , Zhang Mengke , Chen Yanjuan , Wang Zhengbing , He Le , Ma Keshi
Published: October 2024

Many soils face dual challenges of cadmium (Cd) contamination and salinization. However, the response of crops, especially wheat, to combined Cd and salinity stress is not understood. Here, wheat was grown in a hydroponic model for 14 days under single and combined Cd and NaCl stresses. Growth parameters, tissue Cd2+ and Na+ contents, and leaf chlorophyll (Chl), O2•−, and MDA levels were determined. Comparative transcriptomic and metabolomic analyses of the leaves were performed. The results showed that combined stress had a greater inhibitory effect on Chl contents and generated more O2•− and MDA, resulting in more severe wheat growth retardation than those under Cd or NaCl stress. Stress-induced decrease in Chl levels may be attributed to the inhibition of Chl biosynthesis, activation of Chl degradation, or a decline in glutamate content. Cd addition weakened the promotional effect of NaCl on SOS1 gene expression, thereby increasing the Na+ content. Contrastingly, NaCl supplementation downregulated the Nramp and ZIP gene expressions related to Cd uptake and transport, thereby impeding Cd2+ accumulation. All stresses enhanced tryptophan content via promoting tryptophan biosynthesis. Meanwhile, Cd and NaCl stresses activated phenylpropanoid biosynthesis and purine metabolism, respectively, thereby increasing the levels of caffeic acid, fumaric acid, and uric acid. Activating the TCA cycle was important in the wheat’s response to combined stress. Additionally, NaCl and combined stresses affected starch and sucrose metabolism, resulting in sucrose and trehalose accumulation. Our findings provide a comprehensive understanding of the response of wheat to the combined Cd and salinity stress.
Developing the optimal gross movement interventions to improve the physical fitness of 3–10 year-old children: a systematic review and meta-analysis
Authors: Hui Li , Wei Sun , Luping Qu , Nannan Guo
Published: October 2024

Objective

To identify the optimal parameters of gross movement interventions to yield the strongest effects on physical fitness among children aged 3–10 years and to provide a reference for the development of gross movement interventions to improve the physical fitness of children.

Background

There has been a global decline in children’s physical fitness. Previous studies have shown that gross movement interventions can improve children’s physical fitness, but the optimal intervention parameters for achieving the strongest effects have yet to be determined. Therefore, we conducted this meta-analysis to determine the optimal intervention parameters for yielding the strongest effects on children’s physical fitness.

Methods

We searched the Web of Science, PubMed, China Biology Medicine, China National Knowledge Infrastructure, Wanfang Data, and China Science and Technology Journal databases to identify randomized controlled trials on the effects of gross movement interventions (walking, running, jumping, throwing, batting, rolling, spinning, catching, and leg lifting) on children’s physical fitness (upper-body strength, lower-body strength, explosive power, speed, flexibility, and balance). We included studies published up to September 2023. The inclusion and exclusion criteria were developed based on the PICOS framework, and the quality of the included studies was evaluated. Subgroup analysis was performed using Review Manager 5.3, and the data were pooled using a random effects model to obtain the SMD (or WMD) and 95% confidence intervals (CIs).

Results

A total of 23 studies involving 2007 healthy children aged 3–10 years met the inclusion criteria. Gross movement interventions significantly improved the explosive power of children aged 3–10 years [WMD, 6.2]. The most effective intervention duration was 16–18 weeks [WMD, 0.45]. The most effective intervention frequency was one session per week [WMD, 1.06]. The optimal duration of single sessions was 60 min [WMD, 0.47]. Children aged 7–10 years [WMD, 1.41] showed the most significant improvements in physical fitness after gross movement interventions.

Conclusion

Gross movement interventions had a positive effect on the physical fitness of children aged 3–10 years. The optimal intervention parameters include 60-min sessions once a week across a total duration of 16–18 weeks.
Differential effects of mindfulness treatment and mobile neurofeedback on event-related potentials in early posterior negativity in cancer patients: a clinical-experimental parallel group design
Authors: Fink Madeleine , Schmidt Kira , Kowalski Axel , Pasche Saskia , Albrot Calvin , Krawutschke Marvin , Schweig Theresa , Tewes Mitra , Skoda Eva-Maria , Teufel Martin , Müller Bernhard W.
Published: October 2024

Introduction

Cancer frequently leads to psychological challenges, among them emotion regulation problems. These can be alleviated with the help of mindfulness therapies or neurofeedback (NF) interventions. Possible intervention effects on emotion procession can be detected in clinical EEG studies by exploring event-related potentials, e.g., early posterior negativity (EPN), which recently has been established to investigate emotional processing and represents very early attention to affective stimuli. Therefore, this clinical-experimental study investigated the efficacy of mindfulness and NF (10 sessions each) on the EPN in oncology patients.

Method

The study enrolled 42 cancer patients (age: 31–73 years; gender: 28 female, 14 male). The study design was an RCT with a parallel group [NF (n = 21) versus mindfulness (n = 21)] waitlist paradigm. EEG recordings in an oddball task with neutral, rare positive and negative valence and high and low arousal stimuli were performed at three measurement time points (T0 = before waitlist, T1 = before intervention, T2 = after intervention). Following preprocessing, data from electrodes O1, Oz and O2 were analyzed for EPN amplitudes.

Results

Response time did not differ across groups and conditions. Comparing EPN at T1 and T2, there was a significant interaction of time, valence, and intervention (p = 0.042). Descriptive statistics showed increased EPN for negative stimuli after the NF intervention (T1 to T2), while EPN for positive stimuli only slightly increased. For mindfulness, positive stimuli evoked stronger amplitudes after the intervention, while EPN for negative stimuli increased from T1 to T2.

Conclusion

Distinct effects were observed for the EPN for pictures with negative valence. Here, it is presumed that mindfulness treatment led to a refocusing of attention with a focus on positive valence, whereas NF seems to entail a different processing of images with negative valence and is therefore to be seen more in the sense of a confrontational approach. Our results suggest that both interventions are suitable for modulating EPN. However, it is not clear to what extent the effects are due to the interventions alone and how other factors might have affected the amplitudes, which highlights the need for further research in this area.
Comparing laboratory and online settings: equivalence in training and transfer effects for training task-order coordination processes
Authors: Darnstaedt Daniel A. , Langsdorf Leif , Schubert Torsten
Published: October 2024

Introduction

The literature on dual-task training suggests reductions in task-coordination costs with extensive practice, yet such regimens are resource-intensive. This study investigates the feasibility of online assessments for cognitive training studies by comparing training and transfer effects on task-order coordination (TOC) skills in laboratory versus online settings.

Methods

We conducted a 5-day training regimen including pre-and post-test. Sixty-two participants completed training either in our laboratory or online via Pavlovia. They were assigned to one of two training order conditions, either practicing two visual-manual tasks in a dual-task situation with fixed task order or with random task order. Performance metrics included reaction time (RT) and error rates for trained and untrained tasks to assess TOC costs before and after the training. Data from both setting conditions (laboratory vs. online) were compared.

Results

Firstly, data of both settings revealed training-order specific training and transfer effects for TOC costs on RT level. Random task order training improved TOC for trained and untrained tasks, whereas fixed order training did not. Secondly, cross-setting analyses, both frequentists and Bayesian, confirmed these effects and revealed no reliable impact of setting on outcomes.

Discussion

This research carries two significant implications. Our findings demonstrate the acquisition of task-order coordination skills, extending prior research on improving task-coordination in dual-task situations. Additionally, the robust effects for such improvements were independent of specific tasks and setting (whether investigated online or in the laboratory), supporting the use of online testing in cognitive training regimens for resource savings without compromising quality.
Humanistic data art visualization for analyzing learner growth in Challenge Based Learning programs
Authors: Tangredi Domenico , Katics Giselle , Perna Stefano
Published: October 2024

This perspective article investigates the potential of applying artistic or “humanistic” data visualization to improve the understanding of learner’s growth in the context of highly dynamic, learner-centric and experiential educational programs. The article explores the possibility of leveraging a more humanistic or esthetically driven approach to visual learning analytics in the context of programs using Challenge Based Learning (CBL) as a learning framework. CBL is a relatively new and rapidly expanding educational framework grounded on a rich tradition of constructivist, progressive and experiential learning theories. To illustrate the concept, the authors created two data visualizations, designed to offer a comprehensive overview of learners’ growing perceptions. The artistic infographic also provides program managers’ insights into class dynamics and the programs’ overall impact, enhancing the understanding and effectiveness of student-centered learning journeys. Some suggestions for future research are offered.
Depressive self-focus bias following failure: an eye-tracking study among individuals with clinical depression
Authors: Monéger Jean , Harika-Germaneau Ghina , Jaafari Nematollah , Doolub Damien , Warck Laura , Selimbegović Leila , Chatard Armand
Published: October 2024

Objective

Depression is often characterized by a persistent sense of failure. Cognitive theories of depression suggest that depressed individuals may exhibit a maladaptive cognitive style, characterized by increased self-focus following personal failure. The validity of this proposition, however, is yet to be fully examined. This study aimed to identify the relation between symptoms in major depressive disorder and increased self-focus in failure situations.

Methods

This clinical study involved a cohort of 30 patients diagnosed with and treated for depression. We used an eye-tracking paradigm to observe and analyze gaze direction – indicative of either self-focus or self-avoidance – after remembering a significant failure event.

Results

Contrary to the maladaptive cognitive style hypothesis, a majority of the depressed participants demonstrated an inclination towards self-avoidance following failure. Nevertheless, approximately 30% of the patient group – those with the highest scores of guilt, punishment, and self-blame – displayed a self-focused attentional bias post-failure.

Conclusions

The presence of a maladaptive self-focusing style may be confined to severely depressed patients with high levels of guilt, punishment, and self-blame. These findings could have substantial clinical implications, as attention bias modification interventions could be particularly beneficial for this subgroup of patients.
Synergistic pathways for health investment and economic development in China: a fuzzy-set qualitative comparative analysis
Authors: Wang Yongqiang , Liu Yuzhuo , Chai Yulin , Chen Kexuan , Yang Shilan , Feng Xiaochen , Li Wei , Mi Yuqing
Published: October 2024

Background

System coordination is an effective way to achieve high-quality development, and the debate on the interaction between health investment and economic development is still ongoing. To strengthen previous research and offer feasible advice and references for relevant stakeholders, we provide empirical evidence for exploring intersystem coordination and enhancement pathways using data from China.

Methods

Based on the data published by the National Bureau of Statistics of China, the current status of the interaction and coordination between health investment and economic development in China was measured by calculating the comprehensive evaluation index, relative development degree, and coupling coordination degree. Subsequently, a fuzzy-set qualitative comparative analysis method was introduced to explore pathways for enhancing system interaction and coordination.

Results

There are obvious inter-provincial and regional differences between health investment and economic development in China. Provinces in the west and north are lagging in economic development, while provinces in the east and south are lagging in health investment. There is a clear synergy between health investment and economic development, and there is still much room for improving the degree of coupling coordination between systems. The five conditional configurations derived from the fuzzy-set qualitative comparative analysis yield three pathways for enhancing system coordination: a health expenditure-driven path, an economic development-driven path, and a balanced health investment and economic development-driven path.

Conclusion

Health expenditure is sufficient for high coordination, and the level and equity of investment in health expenditure should be improved. The gross regional product is a necessary and sufficient condition for high coordination, and consideration must be given to strengthening the regional economic support capacity. Health investment and economic development can drive the coordinated development of the system in a balanced way. This enlightens us to give full play to the positive synergy between health investment and economic development based on promoting the benign interaction of subsystems.
The mediating effect of resilience between physical activity and mental health: a meta-analytic structural equation modeling approach
Authors: Lin Hao , Zhu Yuying , Liu Qingzao , Li Shan
Published: October 2024

Background

While the correlation between physical activity (PA) and mental health is well known, the mediating mechanism of resilience between the two variables remains unclear.

Objectives

To systematically evaluate the relationship between PA and mental health, and explore the mediating role of resilience between them.

Methods

A systematic search of electronic databases (PubMed, Web of Science, ProQuest, Ebsco, China Knowledge, and China Biomedical Database) was conducted to identify relevant studies, and meta-analytic procedures were used to assess the strength of the relationships between PA and mental health. Furthermore, a meta-analytic structural equation model (MASEM) was used to assess the mediating effects of resilience, ensuring the reliability of our findings.

Results

The findings of 15 studies (17,043 subjects) were subjected to meta-analysis and route analysis. The findings of the meta-analysis revealed a statistically significant positive correlation of 0.288 (95% CI, 0.166–0.402) between PA and positive indicators of mental health, as well as a statistically significant negative correlation (95% CI, −0.342 to −0.171) with negative indicators of mental health. Furthermore, the results of MASEM path analysis indicated that PA may indirectly impact both positive and negative indicators of mental health through the mediating factor of resilience. The indirect effect values were 0.108 (95% CI, 0.080–0.141) and −0.074 (95% CI, −0.100 to −0.051), respectively, accounting for 40.15% of the total effect value and 28.91%.

Conclusion

Physical activity is positively correlated with positive indicators of mental health and negatively correlated with negative indicators of mental health. Moreover, PA can positively influence mental health through the mediating role of resilience.
The application of explainable artificial intelligence methods to models for automatic creativity assessment
Authors: Panfilova Anastasia S. , Valueva Ekaterina A. , Ilyin Ivan Y.
Published: October 2024

Objective

The study is devoted to comparing various models based on Artificial Intelligence to determine the level of creativity based on drawings performed using the Urban test, as well as analyzing the results of applying explainable artificial intelligence methods to a trained model to identify the most relevant features in drawings that influence the model’s prediction.

Methods

The dataset is represented by a set of 1,823 scanned forms of drawings of participants performed according to the Urban test. The test results of each participant were assessed by an expert. Preprocessed images were used for fine-tuning pre-trained models such as MobileNet, ResNet18, AlexNet, DenseNet, ResNext, EfficientNet, ViT with additional linear layers to predict the participant’s score. Visualization of the areas that are of greatest importance from the point of view of the model was carried out using the Gradient-weighted Class Activation Mapping (Grad-CAM) method.

Results

Trained models based on MobileNet showed the highest prediction accuracy rate of 76%. The results of the application of explainable artificial intelligence demonstrated areas of interest that correlated with the criteria for expert assessment according to the Urban test. Analysis of erroneous predictions of the model in terms of interpretation of areas of interest made it possible to clarify the features of the drawing on which the model relies, contrary to the expert.

Conclusion

The study demonstrated the possibility of using neural network methods for automated diagnosis of the level of creativity according to the Urban test based on the respondents’ drawings. The application of explainable artificial intelligence methods to the trained model demonstrated the compliance of the identified activation zones with the rules of expert assessment according to the Urban test.
Experience of a tertiary acute care hospital in Southeast Asia in initiating patient engagement with the aid of digital solutions
Authors: Fan Peijin Esther Monica , Lim Shu Hui , Sim Guan Hua Jonathan , Poticar Mary Jane Seville , Kam Wee Fang , Leong Yee Fenn Rena , Choy Xin Yi Selene , Ong Lay Teng , Wang Xia , Lau Soy Soy , Ng Gaik Nai , Ayre Tracy Carol , Ang Shin Yuh
Published: October 2024

Introduction

With the goal of patient engagement, an initiative was formulated to equip each patient in the general wards with a tablet whereby they can access their health information and patient education materials and communicate with their healthcare team. This paper presented the methodology of the implementation efforts as well as an evaluation of the preliminary outcomes.

Methods

The process of hospital-wide implementation was shared using the implementation research logic model. The bedside tablets were rolled out hospital-wide in a step-wedge manner over 12 months. Barriers and facilitators to this implementation were discussed together with strategies to optimize the situation. Preliminary outcomes of the implementation were evaluated using the RE-AIM framework.

Results

The initial adoption rate for the bedside tablet was low. Additional strategies, such as survey audits and provision of feedback, development of education materials for patients, facilitation, and purposefully re-examining the implementation strategies, were used to improve adoption. The trend of adoption increased over the course of 2 years from the start of implementation.

Discussion

The initial lower adoption rates may reflect Singapore's paternalistic healthcare culture. While this implementation was driven by the need to move away from paternalism and toward patient engagement, more time is required for significant cultural change.
The expanding role of cap-adjacent modifications in animals
Authors: Bellows Eleanor , Fray Rupert G. , Knight Helen M. , Archer Nathan
Published: October 2024

Eukaryotic mRNA cap structures directly influence mRNA stability, translation, and immune recognition. While the significance of the mRNA cap itself has been well-established, recent research has revealed the intricate modifications to the nucleotides immediately adjacent to the cap. These include 2′-O-methylation (Cap1, Cap2) and N6-methyladenosine (m6Am), which recent work suggests may be dynamically regulated, interdependent, and vital for gene-regulation. This perspective explores the expanding role of cap-adjacent modifications. Cap1 is found on metazoan mRNA, viruses which infect metazoans, and the COVID-19 mRNA vaccines. We combined basic local alignment and 2D-TLC to track cap-adjacent modifying proteins and the modifications themselves to profile their prevalence throughout eukaryotes. We confirm that Cap1 is broadly metazoan specific, but surprisingly also in a brown algae. Additionally, we find genomic presence of the eraser, FTO more predictive of the occurrence of m6Am than the m6Am-writer, PCIF1. We then outline future directions to understand and exploit these enigmatic modifications.
A hydroponic vegetable business management approach in holistic good agricultural practices in Thailand
Authors: Ruploet Ponkamon , Kaewhanam Kathanyoo , Phansoomboon Sayan , Piriyaphattarakit Anan
Published: October 2024

Good agricultural practices (GAP) are guidelines designed to ensure the production of high-quality agricultural products that meet specified standards while optimizing resource use. This study aimed to examine the challenges and success factors in implementing a holistic system of GAP in hydroponic vegetable business management and to enhance the efficiency of Thailand’s policies on safe agricultural standards. In this study, a qualitative research methodology was used, using in-depth interviews, semi-structured interviews, and observations with 36 intermediaries and consumers in Thailand. Data analysis was conducted using descriptive statistics. The study revealed that key challenges to successful GAP implementation include unsupportive government policies and a lack of in-depth knowledge among farmers on how to effectively apply GAP principles. For successful implementation, it is crucial that farmers who lead these efforts thoroughly understand the methods and prioritize safe and proper farming practices. This knowledge can then be leveraged to prepare and educate farmers, producers, and entrepreneurs to produce high-quality agricultural products. GAP for crops include policies, benchmarks, and audit processes that adhere to international standards, providing a framework for controlling and promoting product quality throughout the agricultural production process, including post-certification maintenance. The study suggests that cooperation across all relevant sectors, from upstream to downstream, is essential for the successful implementation of GAP. Such collaboration would significantly enhance the quality and safety of Thailand’s agricultural standards.
Reconstructing 169 years of historical atmospheric and hydrologic conditions in the American River Watershed through the Watershed Environmental Hydrology Hydro-Climate Model system
Authors: Snider Emily , Iseri Yoshihiko , Trinh Toan , Anderson Michael L. , Kavvas M. Levent
Published: October 2024

The risk of more frequent and intensified extreme events is expected to increase with climate change. In semi-arid regions, particularly, both increased flooding and prolonged droughts pose a threat as the water resources system must be prepared for both types of extremes. To understand how future extremes may be altered, however, past extremes must be understood. For this reason, this study employs three physically based models to simulate the atmospheric, snow, and hydrologic conditions in the American River Watershed: the Weather Research and Forecasting Model and the Watershed Environmental Hydrology Hydro-Climate Model with the addition of a SNOW Module. Each model is individually calibrated and validated against either gauge data or data provided by the Parameter-Elevation Regressions on Independent Slopes Model for two 10-year periods before a full 169-year daily reconstruction is performed for the period from 1852 through 2020. To analyze the model performance under hydrologic extremes, three flood years (1997, 2006, and 2017) and two drought periods (1987–1992 and 2012–2016) are further analyzed. The reconstruction outputs are found to successfully simulate historical conditions at both daily and monthly scales. Results highlight the importance of fully accounting for the role of temperature in snow processes and the subsequent flow conditions. By understanding how the models perform under historical extreme conditions, future extreme events can be compared, and necessary adaptation plans can be conceived to ensure that the watershed is prepared for future wet and dry conditions. Additionally, the created reconstruction dataset is comprehensive, simulating conditions across the hydroclimate, at a finer spatial and temporal scale than is typically available from observation data alone. The dataset can be further analyzed to assess changes in the trends and the potential trajectory of extreme events within the American River Watershed.
Do We Worry too Much About What Others Think of Us?
Authors: Li Xiaohuan , Thomaes Sander , Wolf Wouter
Published: October 2024

Have you ever met someone new and felt a little nervous about how they feel about you? Turns out you are not the only one. When we meet someone new, we often think we like them more than they like us back. This gap between how much we like others and think others like us is called a liking gap. It happens because we worry about the impression we make on others. Even children experience this liking gap, but it only starts around 5 years old. At this age, the liking gap is still small. It gets bigger as children get older, probably because they start to better understand that what they do influences what others think of them. So, if you feel insecure and think the person you are talking to likes you less than you like them, just remember, the other person probably feels the same way!
The biological function of Urtica spp. and its application in poultry, fish and livestock
Authors: Gao Yang , Yang Xuexi , Chen Bo , Leng Huan , Zhang Jize
Published: October 2024

Urtica species is an angiosperm plant in the Urticaceae family. It serves as a traditional food and medicinal herb, possessing high nutritional value and various bioactive compounds, including polysaccharides, flavonoids, and polyphenolic compounds. In the realm of animal feeds, Urtica spp. can replace traditional protein feed sources and high-quality forage, thereby reducing feed costs. Moreover, Urtica spp. extract exhibits antioxidant and anti-inflammatory properties and boosts immune regulation. Hence, Urtica spp. plays a beneficial role in enhancing animal performance and improving their immune function. Recently, with the development of sustainable farming techniques, the demand for feed additives that prioritize safety, the absence of drug residues, and environmental friendliness have grown. Consequently, Urtica spp. and its extracts have received widespread attention in animal production. This article summarizes the biological functions of Urtica spp. and its application in animal husbandry while also outlining future prospects for its application. It will provide a scientific basis and reference point for the application of Urtica spp. in animal health and breeding.
Canine epilepsy/seizure occurrence in primary care and referral populations: a look into the epidemiology across countries
Authors: Bride Meaghan E. , Samarani Francesca , Grant Lauren E. , James Fiona M. K.
Published: October 2024

Epilepsy is a common neurological condition in dogs. Analysis of primary care populations across countries can provide a more complete understanding of the epidemiology of this condition and provide context for spectrum of care discussions. This narrative literature review was aimed at understanding canine epilepsy/seizure prevalence in primary care populations, and changes in occurrence across geography, culture, and socioeconomic status. There are few studies to give insight into the true general population of epileptic canines and there is inconsistency in the literature regarding the standards applied for epilepsy diagnosis across primary care and referral practices. Therefore, the future focus should be on more epidemiological research in primary care and mixed populations, more veterinary education to standardize use of medical guidelines in primary care settings, and increased awareness of the benefits of having pet insurance to mitigate the potentially substantial cost of care for dogs with epilepsy.
Theoretical and Experimental Assessment of Nonlinear Acoustic Effects through an Orifice
Authors: Di Giulio Elio , Di Leva Riccardo , Dragonetti Raffaele
Published: October 2024

Nonlinear acoustic effects become prominent when acoustic waves propagate through an orifice, particularly at higher pressure amplitudes, potentially generating vortex rings and transferring acoustic energy into the flow. This study develops and validates a predictive theoretical model for acoustic behaviour both within and outside an orifice under linear conditions. Using transfer matrices, the model predicts the external acoustic field, while finite element numerical simulations are employed to validate the theoretical predictions in the linear regime. The experimental setup includes an impedance tube with a plate and orifice, supported by a custom-built system, where a loudspeaker generates acoustic waves. A single microphone is used to measure acoustic particle velocity and characterize the phenomenon, enabling the identification of the onset of nonlinearity. The experimental data show good agreement with the linear theoretical predictions. This work represents the first observation of nonlinear effects in a free-field environment within a semi-anechoic chamber, eliminating reflections from external surfaces, and demonstrates the efficacy of a purely acoustic-based system (speaker and two microphones) for evaluating speaker velocity and the resulting velocity within the orifice.
Exploring the Impact of Age Diversity on Organizational Identification: A Study of HR Practices and Perceived Age Discrimination Climate
Authors: Waligóra Łucja
Published: October 2024

This study explores how age diversity influences organizational identification, emphasizing the role of HR practices and the perceived age discrimination climate in Polish enterprises. Background: Anchored in social identity and social categorization theories, the study posits that observable age diversity may trigger workplace conflicts over resources and power, potentially heightening perceptions of discrimination and lowering employee satisfaction. Methods: Quantitative data were gathered from 30 Polish organizations with more than 50 employees. The sample, comprising HR managers and employees, was analyzed using linear regression and mediation analysis. Results: The findings reveal that HR practices promoting age diversity have a significant positive effect on organizational identification, with effective diversity management reducing perceived discrimination and enhancing employee satisfaction. Conclusions: This study concludes that inclusive HR practices are vital for integrating diverse age groups and ensuring equitable opportunities within the workplace. Future research should investigate the long-term organizational and employee outcomes of age-inclusive HR strategies.
Judith Leyster’s A Boy and a Girl with a Cat and an Eel: An Intersectional Approach
Authors: Sutton Elizabeth
Published: October 2024

In A Boy and a Girl with a Cat and an Eel, concerns about class, decorum, and civility intersected with contemporary dialogue about the distinction between humans and animals, specifically, how human children needed to be educated to be distinguished from the wild, uncivilized state of animals and peasants. Both animals held significance surrounding behaviors that separated the moral from the immoral; cats and eels were pets and food, and they were used in baiting pastimes: cat clubbing and eel pulling. Paired with the children, Leyster’s choice of animals raised multiple moral questions and allowed for multiple interpretations, making the work widely appealing and setting Leyster apart in a tight market for genre paintings. These layers of possible meanings continue to make the work compelling today and shed light on how visual culture reflected and reinforced human–animal and social class distinctions.
Effects of Gait Speed and Sole Adjustment on Shoe–Floor Angles: Measurement Using Shoe-Type Sensor
Authors: Hashiguchi Yu , Numabe Tsuguru , Goto Ryosuke
Published: October 2024

Background: Assessment of walking with shoes is important for understanding different types of walking in various environments. Methods: In this study, a shoe-type sensor was used to demonstrate the shoe–floor angle in fifteen participants who walked on a treadmill under varying gait speed and sole adjustments, lifting one side of the sole. The shoe–floor angle in the sagittal; the angle of toe-up (θTup) and toe-down (θTdown) and frontal planes; and the angle of pronation (θPro) and supination (θSup) were calculated, and angles at the initial contact and maximum angles were extracted. Results: The results showed that most angles significantly increased with an increase in the gait speed (θTup and θTdown; p < 0.01 both, θPro and θSup; p < 0.02 and 0.04). Conversely, only the supination angle at the initial contact changed significantly, owing to the tilt of the sole (p < 0.01). Conclusion: Shoe movements were more strongly affected by gait speed than by sole adjustment.
Application of the Hub-and-Spoke Model in Antimicrobial Stewardship Programmes: A Scoping Review
Authors: Iqbal Ayesha , Kumaradev Yuhashinee , Gülpinar Gizem , Brandish Claire , Nabiryo Maxencia , Garraghan Frances , Rosado Helena , Rutter Victoria
Published: October 2024

Background: The hub-and-spoke model (HSM) offers a framework for efficient healthcare service delivery. This scoping review seeks to explore the implementation and effectiveness of the HSM in antimicrobial stewardship (AMS) programmes. Methods: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) reporting guideline was followed. A systematic search was conducted in four electronic databases (PubMed, Medline, Cochrane Library, and Google Scholar) from inception until January 2024. Studies where the HSM was used for delivering any AMS activity, intervention, or action, were included. No study-specific filters were applied and all populations, study designs, and health settings were included. Data screening and selection were achieved using Rayyan. Three authors independently screened studies, with conflicts resolved by a fourth author. Data were narratively synthesised. Standard appraisal tools were impractical; however, critical evaluation of data collection and outcome reporting was ensured. Results: Out of 1438 articles, three were included in the scoping review. The primary interventions utilising the HSM in AMS involved reducing antibiotic misuse, training healthcare professionals, case-based learning, establishing AMS programmes, developing antibiograms, and formulating policies or guidelines pertinent to AMS. The studies demonstrated significant clinical improvements in AMS. Clinical outcomes from the studies include a significant reduction in antimicrobial usage and improved antibiotic management, with a notable decrease in days on antimicrobial therapy and increased antibiotic de-escalation. Key facilitators for AMS programme success were tailored education, collaborative learning, strong leadership, strategic practices, and data-driven decisions. Key barriers were leadership challenges, change resistance, knowledge gaps, inadequate data systems, resource limitations, and technological constraints. Conclusions: The review identified a literature gap in HSM use in AMS programmes. Further studies are needed to assess HSM’s effectiveness, feasibility, and cost-effectiveness in AMS contexts.
Real-Time Home Automation System Using BCI Technology
Authors: Drăgoi Marius-Valentin , Nisipeanu Ionuț , Frimu Aurel , Tălîngă Ana-Maria , Hadăr Anton , Dobrescu Tiberiu Gabriel , Suciu Cosmin Petru , Manea Andrei Rareș
Published: October 2024

A Brain–Computer Interface (BCI) processes and converts brain signals to provide commands to output devices to carry out certain tasks. The main purpose of BCIs is to replace or restore the missing or damaged functions of disabled people, including in neuromuscular disorders like Amyotrophic Lateral Sclerosis (ALS), cerebral palsy, stroke, or spinal cord injury. Hence, a BCI does not use neuromuscular output pathways; it bypasses traditional neuromuscular pathways by directly interpreting brain signals to command devices. Scientists have used several techniques like electroencephalography (EEG) and intracortical and electrocorticographic (ECoG) techniques to collect brain signals that are used to control robotic arms, prosthetics, wheelchairs, and several other devices. A non-invasive method of EEG is used for collecting and monitoring the signals of the brain. Implementing EEG-based BCI technology in home automation systems may facilitate a wide range of tasks for people with disabilities. It is important to assist and empower individuals with paralysis to engage with existing home automation systems and gadgets in this particular situation. This paper proposes a home security system to control a door and a light using an EEG-based BCI. The system prototype consists of the EMOTIV Insight™ headset, Raspberry Pi 4, a servo motor to open/close the door, and an LED. The system can be very helpful for disabled people, including arm amputees who cannot close or open doors or use a remote control to turn on or turn off lights. The system includes an application made in Flutter to receive notifications on a smartphone related to the status of the door and the LEDs. The disabled person can control the door as well as the LED using his/her brain signals detected by the EMOTIV Insight™ headset.
Analysis and Design of Noise-Shaping SAR ADC with Capacitor Stacking and Buffering
Authors: Shen Zhaoyang , Yang Shiheng , Liu Jiaxin
Published: October 2024

The noise-shaping (NS) successive-approximation-register (SAR) is a promising analog-to-digital converter (ADC) architecture which combines the benefits of SAR and Delta-Sigma (ΔΣ) ADCs. Among the various NS-SAR approaches, the recent emerged one with capacitor stacking and buffering exhibits excellent energy efficiency. This paper presents a tutorial for the design of NS-SAR ADC with capacitor stacking and buffering. The fundamental principle of the NS-SAR loop filter is analyzed, an ADC design example is provided, and the circuit implementation details with considerations on the non-idealities and trade-offs are discussed. This paper can be used as a tutorial for designing high-resolution and high-order NS-SAR ADC.
Ecological Adjustments and Behavioural Patterns of the European Badger in North-Western Italy
Authors: Torretta Elisa , Tortini Alessia , Meriggi Alberto
Published: October 2024

The European badger is a highly adaptable species, inhabiting a range of environments across Europe, from woodlands to urban areas, with its behaviour influenced by environmental conditions and human activities. This study examines the badger feeding habits, patterns of diel activity, and sett site choice in north-western Italy, assessing how landscape composition affects these behaviours. We conducted our research across seven study areas in northern Italy from December 2020 to November 2022, utilising camera trapping, faeces analysis, and sett surveys. Our findings revealed significant dietary variation, with earthworms being the primary food source in natural landscapes, while fleshy fruits being consumed especially in mixed and heavily modified landscapes, up to constitute the staple of the diet in one agricultural area. Badgers were found to be nocturnal, primarily active between sunset and sunrise. Setts varied considerably in structure and location, with a preference for natural grounds over human-made structures; key factors influencing sett site choice included slope, exposure, and vegetation cover. This study underscores the European badger’s remarkable adaptability, illustrating how its diet, activity patterns, and sett site preferences are shaped by a complex interplay of factors, allowing the species to thrive in both pristine and modified environments across northern Italy.
Trajectory Tracking Control of Unmanned Vehicles via Front-Wheel Driving
Authors: Zhou Jie , Zhao Can , Chen Yunpei , Shi Kaibo , Chen Eryang , Luo Ziqi
Published: October 2024

Automated Guided Vehicles (AGVs) are the fastest commercially available application of unmanned driving technology, and the research significance of unmanned vehicle technology remains substantial. This paper investigates the driving mode of AGVs and proposes a method to extend the kinematic model of center-driven unmanned vehicles to front-wheel drive. This change in driving force enables unmanned vehicles to achieve faster tracking and higher consistency, solving the problems of long tracking time and insufficient accuracy in complex environments and reducing production costs. By analyzing the posture relationship of the unmanned vehicle system during movement, we established a posture error system to analyze the trajectory tracking problem. Utilizing Lyapunov stability theory and the concept of backstepping, we designed a control scheme that uses linear velocity and heading angular velocity as variables for the posture error system. This control scheme aims to stabilize the system and achieve synchronized trajectory tracking control of the unmanned vehicle. The impact of control parameters in the controller on tracking performance is also discussed. The final experimental simulation results show that the system error stabilizes, and the unmanned vehicle accurately follows the predetermined trajectory, verifying the feasibility of our proposed method and control scheme.
Flight Plan Optimisation of Unmanned Aerial Vehicles with Minimised Radar Observability Using Action Shaping Proximal Policy Optimisation
Authors: Ali Ahmed Moazzam , Perrusquía Adolfo , Guo Weisi , Tsourdos Antonios
Published: October 2024

The increasing use of unmanned aerial vehicles (UAVs) is overwhelming air traffic controllers for the safe management of flights. There is a growing need for sophisticated path-planning techniques that can balance mission objectives with the imperative to minimise radar exposure and reduce the cognitive burden of air traffic controllers. This paper addresses this challenge by developing an innovative path-planning methodology based on an action-shaping Proximal Policy Optimisation (PPO) algorithm to enhance UAV navigation in radar-dense environments. The key idea is to equip UAVs, including future stealth variants, with the capability to navigate safely and effectively, ensuring their operational viability in congested radar environments. An action-shaping mechanism is proposed to optimise the path of the UAV and accelerate the convergence of the overall algorithm. Simulation studies are conducted in environments with different numbers of radars and detection capabilities. The results showcase the advantages of the proposed approach and key research directions in this field.
Experimental Investigations on the Impact of Hydrogen Injection Apertures in Pulsed Detonation Combustor
Authors: Cojocea Andrei Vlad , Porumbel Ionuț , Gall Mihnea , Cuciuc Tudor
Published: October 2024

Combustion through detonation marks an important leap in efficiency over standard deflagration methods. This research introduces a Pulsed Detonation Combustor (PDC) model that uses Hydrogen as fuel and Oxygen as an oxidizer, specifically targeting carbon-free combustion efforts. The PDC aerodynamic features boost operating cycle frequency and facilitate Deflagration-to-Detonation Transition (DDT) within distances less than 200 mm by means of Hartmann–Sprenger resonators and cross-flow fuel/oxidizer injection. The achievement of quality mixing in a short-time filling process represents not only higher cycle operation but also enhanced performances. The scope of this paper is to assess the impact of different fuel injectors with different opening areas on the performances of the PDC. This assessment, expressed as a function of the Equivalence Ratio (ER), is conducted using two primary methods. Instantaneous static pressures are recorded and processed to extract the maximum and average cycle pressure and characterize the pressure augmentation. Thrust measurements obtained using a load cell are averaged over the detonation cycle to calculate the time-averaged thrust. The specific impulse is subsequently determined based on these thrust measurements and the corresponding mass flow data.
Distributed Optimization Strategy for New Energy Stations and Energy Storage Stations Considering Multiple Time Scales
Authors: Zhai Suwei , Li Wenyun , Zheng Chao , Wang Weixin
Published: October 2024

The “dual carbon” goal has made it a mainstream trend for new energy stations (NESs) and energy storage stations (ESSs) to jointly participate in market regulation. This paper proposes a multiple time scale distributed optimization method for NESs and ESSs based on the alternate direction multiplier method (ADMM). By first considering the uncertainty of new energy output and the volatility of electricity market prices, a multi time scale revenue model is constructed for day-ahead, intraday, and real-time markets. Then, the objective function is built by maximizing the comprehensive market revenues and is simplified using the synergistic effect of NESs and ESSs. Next, the simplified objective function is solved by the ADMM, and the revenues are maximized while each energy meets the relevant constraints. Lastly, the 33-node network topology is used to illustrate the feasibility of the proposed method. The simulation results show that after optimization, the output of NESs and ESSs can coordinate work in day-ahead, intraday, and real-time markets, while the abandonment power of wind and light is significantly improved.
Modeling Exhaust Emissions in Older Vehicles in the Era of New Technologies
Authors: Mądziel Maksymilian
Published: October 2024

In response to increasing environmental demands, modeling emissions from older vehicles presents a significant challenge. This paper introduces an innovative methodology that takes advantage of advanced AI and machine learning techniques to develop precise emission models for older vehicles. This study analyzed data from road tests and the OBDII diagnostic interface, focusing on CO2, CO, THC, and NOx emissions under both cold and warm engine conditions. The key results showed that random forest regression provided the best predictions for THC in a cold engine (R2: 0.76), while polynomial regression excelled for CO2 (R2: 0.93). For warm engines, polynomial regression performed best for CO2 (R2: 0.95), and gradient boosting delivered results for THC (R2: 0.66). Although prediction accuracy varied by emission compound and engine state, the models consistently demonstrated high precision, offering a robust tool for managing emissions from aging vehicle fleets. These models offer valuable information for transportation policy and pollution reduction strategies, particularly in urban areas.