bluuebunny/crossref_metadata_2025_split huggingface dataset:
Framework for a living systematic review and meta-analysis for the surgical treatment of bladder cancer: introducing EVIglance to urology
Authors: Wieland Victoria L.S. , Uysal Daniel , Probst Pascal , Grilli Maurizio , Haney Caelán M. , Sidoti Abate Marie A. , Egen Luisa , Neuberger Manuel , Cacciamani Giovanni E. , Kriegmair Maximilian C. , Michel Maurice S. , Kowalewski Karl-Friedrich 
Published: September 2023

Background:
Knowledge of current and ongoing studies is critical for identifying research gaps and enabling evidence-based decisions for individualized treatment. However, the increasing number of scientific publications poses challenges for healthcare providers and patients in all medical fields to stay updated with the latest evidence. To overcome these barriers, we aim to develop a living systematic review and open-access online evidence map of surgical therapy for bladder cancer (BC), including meta-analyses.

Methods:
Following the guidelines provided in the Cochrane Handbook for Systematic Reviews of Interventions and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Statement, a systematic literature search on uro-oncological therapy in BC will be performed across various literature databases. Within the scope of a meta-analysis and living systematic review, relevant randomized controlled trials will be identified. Data extraction and quantitative analysis will be conducted, along with a critical appraisal of the quality and risk of bias of each study. The available research evidence will be entered into an open-access framework (www.evidencemap.surgery) and will also be accessible via the EVIglance app. Regular semi-automatic updates will enable the implementation of a real-living review concept and facilitate resource-efficient screening.

Discussion:
A regularly updated evidence map provides professionals and patients with an open-access knowledge base on the current state of research, allowing for decision-making based on recent evidence. It will help identify an oversupply of evidence, thus avoiding redundant work. Furthermore, by identifying research gaps, new hypotheses can be formulated more precisely, enabling planning, determination of sample size, and definition of endpoints for future trials.
Dopamine neuron dysfunction and loss in thePrknR275W mouse model of Juvenile Parkinsonism
Authors: Regoni Maria , Zanetti Letizia , Sevegnani Martina , Domenicale Chiara , Magnabosco Stefano , Patel Jyoti C. , Fernandes Megan K. , Monzani Elena , Comai Stefano , Laura Cherchi , Ciammola Andrea , Valtorta Flavia , Morari Michele , Piccoli Giovanni , Rice Margaret E. , Sassone Jenny 
Published: September 2023

AbstractMutations in thePRKNgene encoding the protein PARKIN cause Autosomal Recessive Juvenile Parkinsonism (ARJP). Harnessing this mutation to create an early-onset Parkinson’s disease (PD) mouse model would provide a unique opportunity to clarify the mechanisms involved in the neurodegenerative process and lay the groundwork for the development of neuroprotective strategies. We created a knock-in mouse carrying the homozygousPrknR275W mutation, which is the missense mutation with the highest allelic frequency inPRKNpatients. InPrknR275W mice, we analysed the anatomical and functional integrity of the nigrostriatal pathway, including striatal DA content and evoked striatal dopamine (DA) release, as well as the motor phenotype.We report here thatPrknR275W mice show early DA neuron dysfunction, age-dependent loss of DA neurons in the substantia nigra, decreased DA content and stimulus-evoked DA release in the striatum, and progressive motor impairment. Together, these data show that thePrknR275W mouse recapitulates key features of ARJP. Thus, these studies fill a critical need in the field by introducing a promising new PD model in which to study causative mechanisms of the disease, as well as test therapeutic strategies.
Efficient Search for Circuit Structure by ‘Smooth-Index’ Matrix-Reordering
Authors: Borst Alexander , Denk Winfried 
Published: September 2023

AbstractVolume electron microscopy together with computer-based image analysis are yielding neural circuit diagrams of ever larger regions of the brain [1-10]. These datasets are usually represented in a cell-to-cell connectivity matrix and contain important information about prevalent circuit motifs allowing to directly test various theories on the computation in that brain structure [11,12]. Of particular interest are the detection of cell assemblies and the quantification of feedback, which can profoundly change circuit properties. While the ordering of cells along the rows and columns doesn’t change the connectivity, it can make special connectivity patterns recognizable. For example, ordering the cells along the flow of information, feedback and feedforward connections are segregated above and below the main matrix diagonal, respectively. Different algorithms are used to renumber matrices such as to minimize a given cost function, but either their performance becomes unsatisfying at a given size of the circuit or the CPU time needed to compute them scales in an unfavorable way with increasing number of neurons [13-15]. Based on previous ideas [16-18], we describe an algorithm which is effective in matrix reordering with respect to both its performance as well as to its scaling in computing time. Rather than trying to reorder the matrix in discrete steps, the algorithm transiently assigns a real-valued parameter to each cell describing its location on a continuous axis (‘smooth-index’) and finds the parameter set that minimizes the cost. We find that the smooth-index algorithm outperforms all algorithms we compared it to, including those based on topological sorting.Author SummaryConnectomic data provide researchers with neural circuit diagrams of ever larger regions of the brain. These datasets are usually represented in a cell-to-cell connectivity matrix and contain important information about prevalent circuit motifs. Such motifs, however, only become visible if the connectivity matrix is reordered appropriately. For example, ordering the cells along the flow of information, feedback and feedforward connections are segregated above and below the main matrix diagonal, respectively. While most previous approaches rely on topological sorting, our method treats the discrete vertex indices as real numbers (‘smooth-index’) along independent parameter axes and defines a differentiable cost function, thus, allowing gradient-based algorithms to find a minimum. The parameter set at this minimum is then re-discretized to reorder the connectivity matrix accordingly. We find our method to scale favorably with the circuit size and to outperform all algorithms we compared it to.
Spatial transcriptomics and single-nucleus RNA sequencing reveal a transcriptomic atlas of adult human spinal cord
Authors: Zhang Donghang , Chen Yali , Wei Yiyong , Chen Hongjun , Wu Yujie , Wu Lin , Li Jin , Ren Qiyang , Miao Changhong , Zhu Tao , Liu Jin , Ke Bowen , Zhou Cheng 
Published: September 2023

AbstractDespite the recognized importance of the spinal cord in sensory processing, motor behaviors, and neural diseases, the underlying organization of neuronal clusters and their spatial location remain elusive. Recently, several studies have attempted to define the neuronal types and functional heterogeneity in the spinal cord using single-cell or single-nucleus RNA sequencing in animal models or developing humans. However, molecular evidence of cellular heterogeneity in the adult human spinal cord is limited. Here, we classified spinal cord neurons into 21 subclusters and determined their distribution from nine human donors using single-nucleus RNA sequencing and spatial transcriptomics. Moreover, we compared the human findings with previously published single-nucleus data of the mouse adult spinal cord, which revealed an overall similarity in the neuronal composition of the spinal cord between the two species while simultaneously highlighting some degree of heterogeneity. Additionally, we examined the sex differences in the spinal neuronal subclusters. Several genes, such as SCN10A and HCN1, showed sex differences in motor neurons. Finally, we classified human dorsal root ganglia (DRG) neurons using spatial transcriptomics and explored the putative interactions between DRG and spinal cord neuronal subclusters. In summary, these results illustrate the complexity and diversity of spinal neurons in humans and provide an important resource for future research to explore the molecular mechanisms underlying spinal cord physiology and diseases.
Parents' and teachers' perceptions of the Australian primary school food provision venues and food-related policies
Authors: Nanayakkara Janandani , Booth Alison O. , Worsley Anthony , Margerison Claire 
Published: September 2023

PurposeThis study aims to gain an understanding from parents and teachers about the types of food provision practices and venues, and the food-related policies and rules in primary schools in Australia; and investigate any differences in the presence of policies and rules based on the school location and school type.Design/methodology/approachData were collected via two online surveys from August 2019 to March 2020. Descriptive statistics were employed to analyse quantitative responses. Respondents' written responses to food-related policies were categorised into groups.FindingsThe two most common food provision services were canteen and lunch order services (mentioned by 72 and 55% of respondents, respectively). Of the 425 respondents whose schools had a canteen (parents and teachers together), 62% reported their school implements a healthy school canteen policy. Significantly more parents compared to teachers, and more respondents from government schools compared to non-government schools stated that their school had implemented such a policy. Approximately half of the respondents (47%) stated their school had implemented other food-related policies and/or rules. These policies or rules belonged to four categories: avoiding certain foods, avoiding food sharing, avoiding food packages and promoting healthy eating.Originality/valueThis study shows the disparities exist in implementing food-related policies among primary schools in Australia. Nutrition promoters and policy planners should consider these results and find the best mechanisms to minimise the gaps in policy implementation.
Can internet adoption promote the productivity of firms in China: evidence from a longitudinal study
Authors: Zhou Dong , Wang Wenwen 
Published: September 2023

PurposeThis paper aims to conduct research to examine the impact of Internet adoption on the productivity of firms in non-urban China.Design/methodology/approachThe study investigates the impact of Internet adoption on firms' productivity in non-urban China. More specifically, the authors conduct a comprehensive and rigorous study while addressing concerns related to firm-level endogeneity by utilizing firm-level panel data. Information on firms in non-urban areas is collected from China's Annual Surveys of Industrial Firm data. For robustness, the authors implement the instrumental variables approach and propensity score matching estimations to strengthen the evidence for suggestive causal inference. Furthermore, the authors also examine the mechanisms and group heterogeneity.FindingsEvidence indicate that the adoption of Internet technology positively impacts the total factor productivity (TFP) of firms in non-urban areas. According to the heterogeneity analysis, the marginal effect of Internet adoption is more significant and pronounced for labor-intensive, private and small-scale manufacturing firms. Moreover, additional evidence suggest that Internet adoption is beneficial for non-urban firms in expanding their business and enlarging their market. It has also been found that the positive effect of Internet adoption on firms' TFP is amplified by expanding public infrastructure.Originality/valueThe current study supports that the informatization strategy benefits non-urban firms and promotes rural revitalization. The findings suggest the possibility of firms borrowing market size from the closest cities and supporting the ongoing policies of investing in broadband infrastructure to narrow the urban-rural digital gap in China.
The interrelationship between corruption and the shadow economy: a perspective on FDI and institutional quality
Authors: Nguyen Giang Ngo Tinh , Liu Xianmin 
Published: September 2023

PurposeThis study explores the relationship between corruption and shadow economy (SE) by examining the potential links and interactions between these two phenomena to see whether it is a one-way or two-way relationship and a complementarity or substitution linkage.Design/methodology/approachUsing a dataset comprised of 145 countries all over the world between 1996 and 2015, the authors apply the simultaneous two-step system generalized method of moments approach to address the research question.FindingsThe study findings support a positive bidirectional relationship between corruption and SE. As such, this study has provided evidence supporting the complementarity association. In the authors' further analyses, they point out that several factors can moderate this positive bidirectional linkage. In particular, while Foreign Direct Investment (FDI) inflows strengthen it, it is weakened by other institutional factors such as civil liberties and political rights. Finally, by splitting the full sample into three different subsamples and then examining countries at varying stages of economic development, the authors can gain valuable insights into the evolving dynamics of the relationship between corruption and SE. Specifically, while the authors observe that the positive direction of corruption to SE remains unchanged across different nations, they observe that the positive influence of SE on corruption is strongest among developed economies only.Practical implicationsThe study findings provide an important policy implication. This study highlights the synergistic relationship between SE and corruption, indicating that reducing corruption will reduce the size of the SE. Consequently, this reduction in the SE can mitigate the adverse effects of corruption on economic development.Originality/valueThis paper is among the first empirical studies that critically investigate the interrelationship between SE and corruption. It then explores how this two-way linkage is conditional on some factors, such as economic development levels and institutional quality indicators.
Real-time tactile biofeedback device use for improving balance control of an adolescent with medulloblastoma
Authors: Argunsah Hande , Yalcin Begum 
Published: September 2023

PurposeBiofeedback is used for regulating vestibular adaptation and balance by providing real-time stimulus to the individual during physical activities. This study aimed at (1) developing a wearable device, which tracks balance, counts the number and the direction of balance losses and provides haptic biofeedback through real-time vibration stimulus (2) investigating device efficacy on an adolescent medulloblastoma patient during static and dynamic tasks.Design/methodology/approachA 16-year-old medulloblastoma patient used the device during 10-m walking and single-leg stance tests. The knee joint kinematics and the number and direction of balance losses were recorded for “with” and “without” biofeedback conditions.FindingsThe device helped regulate the knee joint kinematics and reduce the number of balance losses of the medulloblastoma patient. The knee joint movement pattern similarity of the control subject was highly correlated (R2 = 0.997, RMSE = 1.232). Conversely, medulloblastoma patient knee joint movement pattern similarity was relatively weak (R2 = 0.359, RMSE = 18.6) when “with” and “without” biofeedback conditions were compared. The number of balance losses decreased when the medulloblastoma patient was guided with biofeedback.Research limitations/implicationsThe major limitation of this pilot study is the lack of a large and homogeneous number of participants. The medulloblastoma patient used the device while walking after she was given enough time to get used to the tactile biological feedback, so the long-term effect of the device and biofeedback guidance were not investigated. Additionally, the potential desensitization with prolonged use of the device was not evaluated.Practical implicationsBiofeedback reduced the number of balance losses; additionally, the knee joint movement pattern was regulated during static and dynamic tasks. This device can be integrated into the physical therapy of patients with balance, vestibular and postural control impairments.Social implicationsThis is compact and has an easy-to-wear design, patients, who have balance and postural control impairments, can practically use the device during their activities of daily living.Originality/valueThe device promotes physical activity adaptation and regulates gait through continuous and real-time balance control. Its design makes it simple for the user to wear it beneath clothing while using the sensor.
A visual method for achieving stakeholder consensus on the specifics of change: a case study
Authors: Suchdeo Masoom , Lowalekar Harshal , Banerjee Durba 
Published: September 2023

PurposeDifferent stakeholders frequently disagree on what the true problem is that must be solved and what specific actions must be taken during a change exercise. This article demonstrates a visual method for getting buy-in from stakeholders on the specifics of change using a systems thinking tool known as the current reality tree (CRT).Design/methodology/approachThis study illustrates the use of a systems-thinking methodology to achieve consensus among stakeholders on “what is the real problem?” when envisioning a change. The authors illustrate the effectiveness of the proposed approach using a real-life case study in the context of contract catering.FindingsThe CRT enables diverse stakeholders to visualize the cause-and-effect relationships between various problems in a given system and assists them in identifying the set of actions that can address a large number of problems through the change program.Originality/valueThere is little discussion in the literature on change management of a systematic approach to get agreement from stakeholders regarding what the real problem is. This article demonstrates, by way of a case study, how change agents can not only determine which actions will have the greatest impact, but also garner the support of diverse stakeholders.
Coping with the post-COVID-19 pandemic: perceived changes of older adults in their life satisfaction, depression, and quality of life
Authors: Al-Ghafri Bushra Rashid , Al Nabhani Maram Qasim , Al-Sinawi Hamed , Al-Mahrezi Abdulaziz , Al Ghusaini Zahir Badar , Al-Harrasi Ahmed Mohammed , Al-Saidi Yaqoub , Chan Moon Fai 
Published: September 2023

PurposeAs a result of the COVID-19 pandemic, many countries have implemented preventive measures that may negatively affect the physical and mental health of older adults. This study aims to investigate the changes in life satisfaction, depressive symptoms and quality-of-life (QoL) of older adults during the post-COVID-19 pandemic in Oman.Design/methodology/approachA prospective four-week follow-up study was conducted in one health-care center in Muscat, Oman. Convenience sampling was used, and the recruitment was from November 2021 to October 2022, with 38 participants aged 60–81, of whom 36 completed the study. The study evaluated changes in psychological well-being over time and analyzed gender differences.FindingsThe study revealed a positive impact of the preventive measures on the QoL (F = 3.08, p = 0.032) and a reduction in depressive symptoms (F = 3.09,p= 0.045). However, there was no significant change in life satisfaction (F = 1.90,p= 0.165). In particular, older women reported decreased depression (F = 5.31,p= 0.006), while older men reported improved QoL (F = 4.27,p= 0.025).Practical implicationsFew studies have reported on the well-being issues of older adults in Oman during the pandemic. Thus, the findings of this study can contribute to the international understanding of the impact of pandemics on the well-being of older adults in Oman and help health-care professionals tailor health-care programs for older adults in the community setting.Originality/valueThis study provides valuable insights into the well-being of older adults in Oman during the pandemic. Understanding the effects of long-term health hazards is crucial for developing community-level intervention plans and strategies for older adults in the community setting.
Visual tools for supporting interviews in qualitative research: new approaches
Authors: Olmo-Extremera Marta , Fernández-Terol Lucía , Amber Montes Diana 
Published: September 2023

PurposeThis study aims to describe and evaluate various visual and creative tools for supporting the in-depth biographical interview aimed at analyzing educational communities and their stakeholders.Design/methodology/approachResearching educational spaces today requires new ways of understanding, analyzing and studying. The complex characteristics, functions and realities demand research that responds to educational singularities. It is a matter of deeply understanding the educational phenomenon's peculiarities. For these purposes, instruments and research paradigms are needed to extract data and reach information saturation regarding the data obtained from the proposed objects of study. With this in mind, the following paper suggests reflecting on data collection tools that can complement the interview and biographical-narrative research approach. The authors highlight the use of photo-elucidation, the biogram-based timeline, the organigram and the flight of the geese, all of which are instruments endowed with a visual character that allows a deeper understanding of the object studied.FindingsThe main contribution of this paper is to unpack the uses and applications of four visual tools that support the interview technique. First, photo-elucidation is presented as a sensory strategy to stimulate the narrative during the dialogical exchange of the interview. Next, the timeline is described as a visual concretization of the traditional biogram widely used in educational research. Next, the authors unravel the uses of the organizational chart in educational research, which, due to its nature and utility, provides a glimpse of the organizational functioning of an institution and is particularly suitable for research in institutional frameworks. Finally, the tool known as the flight of the geese is presented. This tool is recommended for use in educational leadership and teamwork studies due to its simplicity and high representativeness of the hierarchy of roles and functions.Originality/valueResearching educational spaces today requires new ways of understanding, analyzing and studying. The complex characteristics, functions, and realities demand research that responds to educational singularities. It is a matter of deeply understanding the educational phenomenon's peculiarities. For these purposes, instruments and research paradigms are needed to extract data and reach information saturation regarding the data obtained from the proposed objects of study. With this in mind, the following paper invites us to reflect on data collection tools that can complement the interview and biographical-narrative research approach. The authors highlight the use of photo-elucidation, the biogram-based timeline, the organigram, and the flight of the geese, all of which are instruments endowed with a visual character that allows a deeper understanding of the object studied.