bluuebunny/crossref_metadata_2025_split huggingface dataset:
Low-Frequency Tibial Neuromodulation Increases Voiding Activity - a Human Pilot Study and Computational Model
Authors: McConnell-Trevillion Aidan , Jabbari Milad , Ju Wei , Lister Elliot , Erfanian Abbas , Mitra Srinjoy , Nazarpour Kianoush 
Published: May 2024

AbstractDespite widespread clinical adoption for disorders of incontinence such as overactive bladder, there remain unknowns sur-rounding the mechanism that underpins Tibial Nerve Stimulation (TNS). Current understanding suggests that TNS counteracts incontinence by the inhibition of brainstem and spinal cord activity. How this inhibition alters bladder function is not fully understood. We hypothesize that the supraspinal components of the system act as a high-pass filter, allowing voiding signals to proceed only when bladder filling reaches a critical level. Testing this hypothesis may explain how TNS is able to induce both an inhibitory and a little-explored excitatory effect on bladder activity in response to high-frequency (20 Hz) and low-frequency (1 Hz) stimulation, respectively. We performed a single-blinded trial in healthy human participants administered high and low-frequency Transcutaneous TNS. We also developed a computational model of the lower-urinary tract and control circuit to study the frequency-dependent effects of TNS. For the first time, we report a frequency-dependent effect of TNS via the ability to alter urge perception and up-regulate and down-regulate bladder activity, corroborating model predictions. These results provide a foundation for the development of targeted and effective TNS therapies, benefiting fromin silicomodels. We hope that future clinical research will determine the efficacy of low-frequency TNS as a non-invasive treatment option for urinary retention.Significance StatementThis work describes an experimental study supported by a novel computational model that for the first time captures the frequency-dependent effects of tibial neuromodulation on the urinary control system in humans. The findings of the work provide critically important evidence for the role of the brainstem as a filter, which may explain the little-explored excitatory effect of tibial neuromodulation on bladder activity. These results have considerable clinical implications in the treatment of urinary retention, a condition for which there are at present very few non-invasive treatment options available.
A mitochondria-targeted PPR protein restores cytoplasmic male sterility by post-transcriptional modification ofORF147inCajanus cajanifolius
Authors: Bhattacharya Joorie , Nitnavare Rahul B , Yeshvekar Richa K. , Reddy Dumbala Srinivas , Sapara Vidhi , Ramtirtha Yogendra , Kalenhalli Yogendra , Reddy Pradeep , Bhatnagar-Mathur Pooja , Reddy Palakolanu Sudhakar 
Published: May 2024

AbstractRestoration factors (Rfs) belonging to the pentatricopeptide repeat proteins (PPRs) family play an essential role in plant growth and development including their binding to CMS-associated mitochondrial RNAs leading to fertility restoration. The present study identified 22 mitochondrial-specific PPRs in pigeonpea and explored the underlying mechanisms of restoration of fertility in the A4CMS system through yeast-three hybrid studies. The identified gene was functionally validated through transgenic expression inArabidopsismodel system and obtained conclusive evidence that the identifiedRf-PPRwas responsible for fertility restoration. The sub-cellular localization studies implied that the identifiedRf-PPRis mitochondrial targeting. The study demonstrated that due to the interaction between mitochondrial CMS mRNA and nuclear Rf-PPR protein, post-transcriptional modification occurred, leading to the inability to translate and accumulate cytotoxic CMS protein resulting in fertility restoration. The study specifically looks into the RNA-protein interaction occurring at the nucleo-cytoplasmic level in the A4 cytoplasm ofCajanus cajanifolius.HighlightsThe study identifies the restoration of fertility genes corresponding to the CMS-causingorf147gene.
Cosmological constraints from the redshift-space galaxy skew spectra
Authors: Hou Jiamin , Dizgah Azadeh Moradinezhad , Hahn ChangHoon , Eickenberg Michael , Ho Shirley , Lemos Pablo , Massara Elena , Modi Chirag , Parker Liam , Blancard Bruno Régaldo-Saint 
Published: May 2024

Extracting the non-Gaussian information of the cosmic large-scale structure (LSS) is vital in unlocking the full potential of the rich datasets from the upcoming stage-IV galaxy surveys. Galaxy skew spectra serve as efficient beyond-two-point statistics, encapsulating essential bispectrum information with computational efficiency akin to power spectrum analysis. This paper presents the first cosmological constraints from analyzing the full set of redshift-space galaxy skew spectra of the data from the SDSS-III BOSS, accessing cosmological information down to nonlinear scales. Employing the forward modeling framework and simulation-based inference via normalizing flows, we analyze the CMASS-SGC subsample, which constitute approximately 10% of the full BOSS data. Analyzing the scales up to kmax=0.5  h−1 Mpc, we find that the skew spectra improve the constraints on Ωm,Ωb,h, and ns by 34%, 35%, 18%, 10%, respectively, compared to constraints from previous power spectrum multipoles analysis, yielding Ωm=0.288−0.034+0.024, Ωb=0.043−0.007+0.005, h=0.759−0.050+0.104, ns=0.918−0.090+0.041 (at 68% confidence limit). On the other hand, the constraints on σ8 are weaker than from the power spectrum. Including the big bang nucleosynthesis (BBN) prior on baryon density reduces the uncertainty on the Hubble parameter further, achieving h=0.750−0.032+0.034, which is a 38% improvement over the constraint from the power spectrum with the same prior. Compared to the bispectrum (monopole) analysis, skew spectra offer comparable constraints on larger scales (kmax<0.3  h−1 Mpc) for most parameters except for σ8.

Published by the American Physical Society
2024
Impact of technology driven change on individuals’ readiness in higher education: grounded in micro-foundations
Authors: Samara Khalid , Mulholland Gary , Aluko Akinseye Olatokunbo 
Published: May 2024

Purpose
The intricate and unpredictable nature arising in higher education institutions (HEIs) implementing technology-driven change for e-learning environments demands a much closer examination of individuals’ interpretations and interactions as they undergo these changes. Through a micro-foundational lens, this study aims to examine the micro-level inhibitors and supporting factors of individual’s readiness for change by investigating technology-driven change in HEIs.

Design/methodology/approach
A two-phased research design using grounded theory methodology was used to collect and analyse data incorporated within a single-case study in an HEI. Data was collected using semi-structured interviews with 22 participants, followed by a focus group with eight participants centered on factors affecting their readiness for change during technology-driven change in e-learning environments. The data analysis followed an iterative constant comparative approach and its three-phased coding process: open, axial and selective coding.

Findings
This study revealed that staff with little awareness of the organisations expectations towards a technology-driven change or who are poorly communicated with can exhibit higher resistance and lower individual readiness for change. While macro-level factors of organisational structure can contribute to the success or failure of technology-driven change, the fundamental features related to individuals’ readiness for change are integral to understanding the micro-level causal behaviours underlying these macro-level phenomena.

Originality/value
The dominant model of change is often focused on drivers that are centered on examining macro-level constructs rather than individuals who are facing the change. This study presents theories on readiness for change and offers a micro-foundational view to bring new perspectives into the current literature on how individual-level micro-foundations enhance understanding of technological change in HEIs.
Investigating fretting wear mechanisms in Ti-6Al-4V: insights from residual stress and equivalent plastic strain analysis
Authors: Feng Liwen , Ding Xiangyan , Zhang Yinghui , Hu Ning , Bi Xiaoyang 
Published: May 2024

Purpose
The study delves into the influence of wear cycles on these parameters. The purpose of this paper is to identify characteristic patterns of σRS and εPEEQ that discern varying wear situations, thereby contributing to the enrichment of wear theory. Furthermore, the findings serve as a foundational basis for nondestructive and in situ wear detection methodologies, such as nonlinear ultrasonic detection, known for its sensitivity to σRS and εPEEQ.

Design/methodology/approach
This paper elucidates the wear mechanism through the lens of residual stress (σRS) and plastic deformation within distinct fretting regimes, using a two-dimensional cylindrical/flat contact model. It specifically explores the impact of the displacement amplitude and cycles on the distribution of residual stress and equivalent plastic strain (εPEEQ) in both gross slip regime and partial slip regimes.

Findings
Therefore, when surface observation of wear is challenging, detecting the σRS trend at the center/edge, region width and εPEEQ distribution, as well as the maximum σRS distribution along the depth, proves effective in distinguishing wear situations (partial or gross slip regimes). However, discerning wear situations based on εPEEQ along the depth direction remains challenging. Moreover, in the gross slip regime, using σRS distribution or εPEEQ along the width direction rather than the depth direction can effectively provide feedback on cycles and wear range.

Originality/value
This work introduces a novel perspective for investigating wear theory through the distribution of residual stress (σRS) and equivalent plastic strain (εPEEQ). It presents a feasible detection theory for wear situations using nondestructive and in situ methods, such as nonlinear ultrasonic detection, which is sensitive to σRS and εPEEQ.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-01-2024-0005/
See it, share it: what makes social media content viral in the higher education context? The power of positive affective content
Authors: Yang Hsiao-Pei (Sophie) , Chan Tommy K. H. , Tran Hai-Anh , Nguyen Bach , Lin Han 
Published: May 2024

PurposeThis research examines how universities enhance the virality of their social media messages among students. Specifically, we explore whether and how positive affective content in universities’ social media posts can influence sharing behavior. We also investigate the mediating roles of perceived effort and positive emotional reaction, as well as the moderating effect of visual content (i.e. photos).Design/methodology/approachDrawing upon the emotions as social information model, we conducted (1) an online experiment (N = 222) and (2) text analysis of 1,269,798 Twitter posts extracted from the accounts of 94 UK universities over 11 years (2010–2020) to test our hypotheses.FindingsThe findings show that social media posts containing positive affective content encourage sharing behavior and the relationship is mediated by both perceived effort and positive emotional reaction. An additional finding suggests that the use of visual content (photos) strengthens the relationship between positive affective content and sharing behaviors through an interaction effect.Originality/valueThis study contributes to the scant research focusing on positive affective content in the higher education context. The findings shed light on how universities could create social media communications that engage current and prospective students.
Perceived conditions of public open spaces (POS) and their associated impact in Kano, Nigeria: resident and patrons account
Authors: Agbabiaka Hafeez Idowu , Yusuf Fatima Idris , Yussuf Shakirat Oladayo , Ukpong Edidiong 
Published: May 2024

Purpose
The purpose of this study is to examine the impact of public open spaces (POS) on host community in Kano Metropolis.

Design/methodology/approach
Two sets of questionnaires and participant observation were used to collect data for the study. The questionnaires were used to elicit information on the socioeconomic characteristics of residents and users, a total of 140 residents and 70 users were selected for the study using random sampling without replacement.

Findings
Findings revealed majority of the residents earn above 25,000 naira monthly with a percentage of 32.85% while patrons were dominated by respondents that earn below 25,000 monthly. Also, majority of the respondents (94%) have received formal education. Further findings revealed that POS in Kano Metropolis plays an important role in encouraging recreational activities; although some of the open spaces were to some extent declined, the study confirmed the existence of 28 open spaces from the underlying 35 POS within the metropolis. It is noteworthy to note that males were found to be more (80.9%) among users of all the open spaces in the study area with the least participation from their female counterparts. The study further revealed that the adverse effects faced by users of POS and members of the host communities comprised of lack of facilities within the open space, inadequate security, inadequate lighting, lack of vegetation cover, poor parking spaces, breaching the public peace while the residents perceived the open space as means of obstruction of public facilities, causes accident, causes traffic congestion, environmental pollution, increase in accident, obstruction of public facilities, increased accident, degrades the environment, breaching of public peace, traffic congestion and obstruction of public facilities.

Originality/value
The outcome of the study will raise the awareness of the people on the importance, conditions of facilities and the impact associated with the usage of open spaces on adjoining residence. It will also inform stakeholders the modalities to prevent further decline or conversation of open space to other land use and promote proper management of open space facilities and mitigate its likely negative impact on the environment. This will contribute toward achieving Sustainable Development Goal 11.
Is tourism conducive to green growth? An investigation of the role of tourism-based economic expansion in the nexus of leisure tourism and business tourism
Authors: Awan Amara , Hussain Kashif , Zafar Mahwish , Bajwa Sami Ullah 
Published: May 2024

PurposeThe gradual expansion of the tourism sector is raising concerns about whether tourism-based economies are conducive to supporting green growth. Hence, the current study aims to analyze the direct impact of tourism motives on green growth along with the indirect impact of tourism-based economic expansion while controlling for country risk and renewable energy.Design/methodology/approachAn unbalanced panel data for a sample of 21 countries comprising OECD and non-OECD economies are employed for the analysis.FindingsRegression results reveal that leisure tourism (LT) significantly and positively influences CO2 intensity compared to business tourism (BT). Propensity score matching results show that the most traveled tourist destinations contribute more to CO2 intensity than those less traveled. Mediation analysis by employing Baron and Kenny’s three-step regression, Sobel’s test and Monte Carlo test shows that tourism-based economic expansion significantly mediates between the nexus of LT and CO2 intensity.Practical implicationsResults of the study provide useful practical implications for sustainable economy and green growth. It recommends to mitigate the challenges of LT, reducing the negative impact and to harness the potential of BT, enhancing the positive influence, through various policies and practices.Originality/valueThis study is the first to examine the impact of LT and BT on green growth, to explore the role of destination popularity and the mediating role of tourism-based economic expansion in this relationship.
Addressing career-related social problems using experiential learning: a pilot study
Authors: Borchardt Jamie , Banker Deborah 
Published: May 2024

PurposeWe examined skill building techniques and changes over the course of a semester with pre and post-test data collection after implementing experiential learning assignments.Design/methodology/approachThe Schutte Self-Report Emotional Intelligence Test (SEEIT) was used to measure emotional intelligence among students who interned for a 16-week period.FindingsWe found a significant difference using a paired samples t-test in SSEIT scores between the pre (M = 126.6, SD = 4.3) and the post-internship (M = 133.8, SD = 5.7) scores. t(5) = -5.61, p = 0.002. Students had an overall increase in mean scores over the course of one semester.Research limitations/implicationsThis was a pilot study that we completed to determine applicability of internship and increasing emotional intelligence. Overall, we saw an increase in EI in pre and post-test comparisons. This was a pilot study, so more research is needed on this topic.Practical implicationsStudents were placed in situations during the internship process to help facilitate real world problems and were required to apply applicable textbook knowledge, develop theory-based activities and report their findings. Students worked with various age groups and learned how to work with a variety of populations including faculty, teachers, children and parents on a regular basis and this process contributed to their experience and potentially increased emotional intelligence over a 16-week period.Social implicationsThis research addresses the importance of emotional intelligence (EI) in career readiness and its role in potentially mitigating burnout in psychological professions.Originality/valueThis is important to those in the field of psychology and child development and family studies because it addresses concerns with the shortage of skilled and prepared workers.
Extrusion-based bioprinting: considerations toward gelatin-alginate bioink
Authors: Abedi Kimia , Keshvari Hamid , Solati-Hashjin Mehran 
Published: May 2024

Purpose
This study aims to develop a simplified bioink preparation method that can be applied to most hydrogel bioinks used in extrusion-based techniques.

Design/methodology/approach
The parameters of the bioprinting process significantly affect the printability of the bioink and the viability of cells. In turn, the bioink formulation and its physicochemical properties may influence the appropriate range of printing parameters. In extrusion-based bioprinting, the rheology of the bioink affects the printing pressure, cell survival and structural integrity. Three concentrations of alginate-gelatin hydrogel were prepared and printed at three different flow rates and nozzle gauges to investigate the print parameters. Other characterizations were performed to evaluate the hydrogel structure, printability, gelation time, swelling and degradation rates of the bioink and cell viability. An experimental design was used to determine optimal parameters. The analyses included live/dead assays, rheological measurements, swelling and degradation.

Findings
The experimental design results showed that the hydrogel flow rate substantially influenced printing accuracy and pressure. The best hydrogel flow rate in this study was 10 ml/h with a nozzle gauge of 18% and 4% alginate. Three different concentrations of alginate-gelatin hydrogels were found to exhibit shear-thinning behavior during printing. After seven days, 46% of the structure in the 4% alginate-5% gelatin sample remained intact. After printing, the viability of skin fibroblast cells for the optimized sample was 91%.

Originality/value
This methodology offers a straightforward bioink preparation method applicable to the majority of hydrogels used in extrusion-based procedures. This can also be considered a prerequisite for cell printing.
Multidisciplinary team meeting Chairs' attitudes and perceived facilitators, barriers and ideal improvements to meeting functionality: A qualitative study
Authors: Lamprell Klay , Chittajallu Renuka , Arnolda Gaston , Easpaig Bróna Nic Giolla , Delaney Geoff P. , Liauw Winston , Olver Ian , Braithwaite Jeffrey 
Published: May 2024

AbstractAimOncology care provision by multidisciplinary teams (MDTs) is widely acknowledged as best practice. Formal team meetings, led by chairpersons, coordinate decisions on diagnosis, staging, treatment planning, and review. This study addresses a gap in meeting Chairs’ perspectives on factors affecting functionality across the meeting cycle, from pre‐meeting patient list triage to post‐meeting dissemination of recommendations.MethodsSemi‐structured interviews were conducted in person with Chairs within two urban geographical regions in New South Wales, Australia as part of a larger project. Though the population of oncology MDT Chairs in Australia is small, the richness and depth of data from nine Chairs were considered to be valuable knowledge in support of extant literature on meeting functionality. An integrated deductive‐inductive approach was applied to data analysis.ResultsPerceived facilitators, barriers, and ideals relating to pre‐meeting, in‐meeting, and post‐meeting functionality were identified across five pre‐determined analytic categories: the team; meeting infrastructure; meeting organization and logistics; patient‐centered clinical decision‐making, and; team governance. Key barriers included inadequate information technology, limited support staff, and lack of dedicated time for Chair duties. Corresponding facilitators included robust Information Technology infrastructure and support, provision of clinically knowledgeable MDT meeting coordinators, and formal employment recognition of Chairs’ responsibilities and skill sets.ConclusionChairs across various tumor streams develop workarounds to overcome barriers and ensure quality meeting outcomes. With more robust support they could enhance value by sharing evidence, conducting audits, and engaging in research. The findings highlight the need for healthcare systems to support tumor stream clinical networks by allocating greater resources to prioritize multidisciplinary meetings and cancer care decision‐making.
Unveiling the factors of aesthetic preferences with explainable AI
Authors: Soydaner Derya , Wagemans Johan 
Published: May 2024

AbstractThe allure of aesthetic appeal in images captivates our senses, yet the underlying intricacies of aesthetic preferences remain elusive. In this study, we pioneer a novel perspective by utilizing several different machine learning (ML) models that focus on aesthetic attributes known to influence preferences. Our models process these attributes as inputs to predict the aesthetic scores of images. Moreover, to delve deeper and obtain interpretable explanations regarding the factors driving aesthetic preferences, we utilize the popular Explainable AI (XAI) technique known as SHapley Additive exPlanations (SHAP). Our methodology compares the performance of various ML models, including Random Forest, XGBoost, Support Vector Regression, and Multilayer Perceptron, in accurately predicting aesthetic scores, and consistently observing results in conjunction with SHAP. We conduct experiments on three image aesthetic benchmarks, namely Aesthetics with Attributes Database (AADB), Explainable Visual Aesthetics (EVA), and Personalized image Aesthetics database with Rich Attributes (PARA), providing insights into the roles of attributes and their interactions. Finally, our study presents ML models for aesthetics research, alongside the introduction of XAI. Our aim is to shed light on the complex nature of aesthetic preferences in images through ML and to provide a deeper understanding of the attributes that influence aesthetic judgements.