bluuebunny/crossref_metadata_2025_split huggingface dataset:
Epidemiology of Spinocerebellar Ataxias in Europe
Authors: De Mattei Filippo , Ferrandes Fabio , Gallone Salvatore , Canosa Antonio , Calvo Andrea , Chiò Adriano , Vasta Rosario 
Published: September 2023

AbstractSpinocerebellar ataxias (SCAs) are a heterogenous group of rare neurodegenerative conditions sharing an autosomal dominant pattern of inheritance. More than 40 SCAs have been genetically determined. However, a systematic review of SCA epidemiology in Europe is still missing. Here we performed a narrative review of the literature on the epidemiology of the most common SCAs in Europe. PubMed, Embase, and MEDLINE were searched from inception until 1 April 2023. All English peer-reviewed articles published were considered and then filtered by abstract examination and subsequently by full text reading. A total of 917 original articles were retrieved. According to the inclusion criteria and after reviewing references for useful papers, a total of 35 articles were included in the review. Overall, SCA3 is the most frequent spinocerebellar ataxia in Europe. Its frequency is strikingly higher in Portugal, followed by Germany, France, and Netherlands. None or few cases were described in Italy, Russia, Poland, Serbia, Finland, and Norway. SCA1 and SCA2 globally displayed similar frequencies, and are more prevalent in Italy, United Kingdom, Poland, Serbia, and France.
Assessing the Potential of Data Augmentation in EEG Functional Connectivity for Early Detection of Alzheimer’s Disease
Authors: Jia Hao , Huang Zihao , Caiafa Cesar F. , Duan Feng , Zhang Yu , Sun Zhe , Solé-Casals Jordi 
Published: September 2023

AbstractElectroencephalographic (EEG) signals are acquired non-invasively from electrodes placed on the scalp. Experts in the field can use EEG signals to distinguish between patients with Alzheimer’s disease (AD) and normal control (NC) subjects using classification models. However, the training of deep learning or machine learning models requires a large number of trials. Datasets related to Alzheimer’s disease are typically small in size due to the lack of AD patient samples. The lack of data samples required for the training process limits the use of deep learning techniques for further development in clinical settings. We propose to increase the number of trials in the training set by means of a decomposition–recombination system consisting of three steps. Firstly, the original signals from the training set are decomposed into multiple intrinsic mode functions via multivariate empirical mode decomposition. Next, these intrinsic mode functions are randomly recombined across trials. Finally, the recombined intrinsic mode functions are added together as artificial trials, which are used for training the models. We evaluated the decomposition–recombination system on a small dataset using each subject’s functional connectivity matrices as inputs. Three different neural networks, including ResNet, BrainNet CNN, and EEGNet, were used. Overall, the system helped improve ResNet training in both the mild AD dataset, with an increase of 5.24%, and in the mild cognitive impairment dataset, with an increase of 4.50%. The evaluation of the proposed data augmentation system shows that the performance of neural networks can be improved by enhancing the training set with data augmentation. This work shows the need for data augmentation on the training of neural networks in the case of small-size AD datasets.
A multi-objective reinforcement learning approach for furniture arrangement with optimal IEQ in multi-occupant offices
Authors: Ribino Patrizia , Bonomolo Marina 
Published: September 2023

AbstractIndoor Environmental Quality (IEQ) concerns several aspects of environmental comforts, such as thermal, visual and acoustics comfort. In particular, IEQ plays a relevant role in workers’ satisfaction since it strongly influences health, well-being, and productivity. Specifically, it has been demonstrated that the furniture configuration in working spaces affects the occupant’s comfort perception. Nevertheless, IEQ has been either neglected or partially addressed in the context of interior design. The contribution of this paper is to introduce a novel method for furniture layout optimisation in terms of IEQ requirements in multi-occupant offices. In particular, we explore the furniture arrangement task as a Multi-Objective Markov Decision Process (MOMDP), which is solved by a reinforcement learning (RL) agent. The goal is to determine optimal workstation positions that maximise workers’ IEQ satisfaction and functional aspects of working spaces under analysis. Firstly, we formulated the furniture layout task as a MOMDP problem by defining reward functions in terms of thermal, acoustics and visual comfort. Then, we train the RL agent to produce optimal/suboptimal layout patterns through a Q-learning-based algorithm. We conducted experiments in two different offices. The experimental results demonstrated that the proposed multi-objective RL approach is able to determine optimal furniture arrangements that provide a balance among office occupants in terms of IEQ satisfaction. Moreover, numerical results show that the proposed approach can be a valuable tool for evaluating the conformity to the environmental comfort standard of working environments during the furniture layout design phase instead of applying corrections during the post-occupancy evaluation.
Evaluation of Koga irrigation water in Mecha district, Amhara Region, as an example of irrigation water quality in Northwestern Ethiopia
Authors: Lewoyehu Mekuanint , Fentahun Dagnachew , Addisu Solomon 
Published: September 2023

AbstractIrrigation water quality impacts plant growth, crop production, and public health. Thus, understanding the trends in irrigation water quality is important to manage public health, and optimize crop production. The Koga region in Ethiopia is a developing area where crops are an important food source for a growing population, and irrigation is critical to supply additional food crops and secure food insecurity issues. This study measures physiochemical and biological parameters to assess the suitability of Koga irrigation water for crops intended for human consumption. In March 2022, irrigation water samples were collected and analyzed for physicochemical and biological qualities. Kelley’s ratio, magnesium danger, and sodium absorption ratio were calculated from the data obtained. Results showed that the turbidity (174.33–259.00 NTU), total suspended solids (80.33–175.00 mg/L), total alkalinity (143.33–195.33 mg/L), total hardness (150.67–224.6 mg/L), SO42−(43.96–73.00 mg/L), PO43−(56.27–87.43 mg/L), and BOD5 (63.23–95.40 mg/L) levels surpassed the recommended limit of FAO(35 NTU,50 mg/L,100 mg/L,100–150 mg/L,20 mg/L,3 mg/L and 30 mg/L, respectively). BOD5 levels of the tested water samples exceeded the permissible limit set by the EU (10 mg/L). The coliform and fecal coliform levels in all sampled waters were higher than the zero/100 mL limits of the EU and WHO set for irrigation water. The studied water samples were found to be unsuitable for the cultivation of crops and vegetables since TA, PO4−3, and NO3− levels exceeded the tolerance limit of the crops and vegetables cultivated in the site, while the coliform and BOD5 levels surpassed their tolerable limits. Consequently, it is not recommended to eat crops and vegetables without first properly preparing them. The results showed improper ratio of Mg2+:Ca2+ and Na+:Ca+2, and a magnesium hazard was foreseen. This study showed that the turbidity, total suspended solids, total alkalinity, total hardness, SO42−, PO43−, BOD5, and the coliform levels of the studied irrigation water samples of the Koga irrigation project were not found within the safe limits of FAO, WHO, EU, and irrigation water quality limits of different nations, even though additional samples evaluating seasonal fluctuations are needed to fully assess the water quality.
Customized influence maximization in attributed social networks: heuristic and meta-heuristic algorithms
Authors: Liang Jun-Chao , Gong Yue-Jiao , Wu Xiao-Kun , Li Yuan 
Published: September 2023

AbstractThe influence maximization problem is one of the most fundamental topics in social networks. However, most existing studies have focused on non-attributed networks, neglecting the consideration of users’ properties during information propagation. Additionally, specific scenarios may involve external queries that target a particular subset of users, which has not been adequately addressed in prior research. To address these limitations, this study first formulates the customized influence maximization (CIM) problem in the context of attributed social networks. The node score and influence probability are derived by fully considering the user’s attributes and the external queries. Then, we develop two algorithms to identify a group of most influential nodes in CIM. The first is a heuristic algorithm based on discounted degree, which is able to find relatively high-quality solutions in a short time. The second is a meta-heuristic algorithm, which makes several adjustments to the original ant colony algorithm to make it efficient to the CIM problem. Specifically, multiple CIM-related heuristics are derived, and a heuristic adaptation strategy is designed to automatically assign the heuristic information to ants according to the search environments and stages. Extensive experiments show the promising performance of our proposed algorithms in terms of accuracy, efficiency, and robustness.
Charting our sustainability journey within the Division of Surgery and Interventional Science at University College London
Authors: Bakkalci Deniz , Farley Martin , Kessler Francesca , Cheema Umber 
Published: September 2023

AbstractThis article describes a case study of our journey to running more sustainable labs within the Division of Surgery and Interventional Science at University College London (UCL), London, United Kingdom. Through the setting up of a self-assessment team within the division, we asked the key question, ‘what does sustainability mean in science and how will we apply this to our academic Division?’ Our division’s sustainability team took on the challenges to tackle unsustainable practise, primarily within our laboratories. By considering and implementing simple steps within our research department, we have reduced lab waste as well as decreased our overall carbon emission. We have clarified our hallmarks of sustainability and seek to share our changed practices to provide clear and easy guidance for how to make medical research divisions sustainable based on the actions taken in our labs. This study provides guideline on how to make academic research more sustainable by describing simple steps to implement in the laboratories. These steps were described using Division of Surgery and Interventional Science at UCL as a case study. The division’s sustainability team develops sustainable lab practices, which has led to reduction in lab waste and carbon emissions.
Analysis of the pulsating properties of a high-pressure water jet generated in a self-excited head for erosion processing
Authors: Szada-Borzyszkowska Monika , Kacalak Wojciech , Banaszek Kamil , Borkowski Przemysław J. , Szada-Borzyszkowski Wiesław 
Published: September 2023

Abstract
Water jet is an extensively used method for materials processing due to the possibility of operating in different environments (air, water), its safety during working with hazardous materials, and efficiency while cutting hard and brittle rock blocks. In this article, we have presented results of the research on processing aerated concrete by means of pulsating water jest. The discontinuity in water flow through the nozzle was achieved using an own-construction self-excited head. The intermittent flow had the greatest effect during operating in water environment. Machining efficiency for continuous and pulsating water jest was indicated by measuring erosive effects on processed materials. The occurrences of pulsations were confirmed while measurement of water jet thrust forces acting on piezoelectric sensor. It was concluded that pulsating water jet had greater processing effectiveness in a certain circumstances compared to the continuous flow, during the surface processing of concrete blocks.
The Seroprevalence of Hepatitis C Virus (HCV) in Hemodialysis Patients in Oman: A National Cross-Sectional Study
Authors: Al Shukri Intisar , Al Wahaibi Adil , Al kindi Hanan , Al-Maimani Yaqoub , Al Maani Amal , Alqayoudhi Abdullah , Methew Mersum C. , Pradeesh Jini , Al Abrawi Raiya , Debs Abdo , Mansoor Nabila , AlRahbi Ahmed , Al Balushi Wadha , Alharrasi Mahmood , Al Mamari Badriya , Soliman Magda Fakhry , Alsenaidi Afraa , Al Alawi Mohammed , Al Ismaili Omaima , Al-Abri Seif , Al-Jardani Amina 
Published: September 2023

Abstract
Background
HCV infection in hemodialysis units is a significant cause of morbidity and mortality. The risk of HCV infection among dialysis patients is higher compared to the general population due to high potential blood exposures in hemodialysis settings. This study aims to assess the national HCV seroprevalence in selected dialysis units and to determine the risk factors for acquiring HCV infection.

Methods
This cross-sectional study was conducted from 1 January to 31 March 2021. A total of 734 patients from 11 hemodialysis centers in Oman were included. Samples were tested simultaneously for HCV antibodies and HCV RNA. HCV genotyping was determined in all viremic patients. Demographic and hemodialysis center related data were gathered and their association with the positive HCV serology were explored using univariate and multivariate logistic regression analysis.

Results
Out of 800 patients selected from 11 dialysis units for the study, 734 patients (91.8%) were included. The overall seroprevalence of HCV infection among hemodialysis patients was 5.6%. (41/734). HCV RNA was detected in 31.7% (13/41) of seropositive hemodialysis patients. The most common genotype was subtype 1a, followed by subtype 3. Variables associated with high HCV prevalence were family history of HCV and duration of dialysis.

Conclusion
The prevalence of infection within hemodialysis patients in Oman has significantly decreased but remained higher than the general population. Continuous monitoring and follow-up, including periodic serosurvey and linkage to care and treatment are recommended. Additionally, practice audits are recommended for identifying gaps and ensuring sustainability of best practices and further improvement.
Performance of a Chemical Heat Blanket in Dry, Damp, and Wet Conditions Inside a Mountain Rescue Hypothermia Wrap
Authors: Greene Mike , Long Geoff , Greene Karen , Wilkes Matt 
Published: September 2023

Introduction Casualties with accidental hypothermia are evacuated using multilayer wraps, typically including a chemical heat blanket (CHB), a vapor barrier, and an insulating outer bag. We investigated CHB performance against dry, damp, and wet fabric, in a multilayer wrap, in response to a case report indicating diminished performance when wet. Methods We wrapped a torso manikin in a base layer, CHB, vapor barrier, casualty bag, and vacuum mattress, recording CHB panel temperatures at intervals of up to 7 h. Experimental conditions were dry, damp, and wet clothing, with 2 blankets tested in each condition. We subsequently used a forward-looking infrared camera to assess whether the panels heated evenly and heat flux sensors to quantify heat transfer across 2 dry, 1 damp, and 1 wet fleece under CHB panels. Results Chemical heat blankets maintained heat output for >7 h inside the wraps. Median (IQR) panel steady state temperatures were 52°C (39–56°C) against dry fleece, 41°C (36–45°C) against damp fleece, and 30°C (29–33°C) against wet fleece. Peak panel temperature was 67°C. The heat flux results indicated that CHBs generated similar quantities of heat in dry and damp conditions, as the lower temperatures were compensated by more efficient transfer of heat across the moist clothing layer. Chemical heat blanket heat output was diminished in wet conditions. Conclusions Rescuers should cut off saturated clothing in a protected environment before wrapping casualties, but damp clothing need not be removed. Because of the high peak temperatures recorded on the surfaces of CHBs, they should not be placed directly against skin, and compression straps should not be placed directly over CHBs.
From Indigenous philosophy in environmental education to Indigenous planetary futures: what would it take?
Authors: Williams Lewis 
Published: September 2023

AbstractThe past two decades have seen a proliferation of Indigenous philosophy in environmental education. Much of this anti and decolonial work has made significant advances in deconstructing western modernist subjectivities; re-embedding and re-situating Indigenous and western relational epistemologies into human-earth relationality, including critical inquiry into questions of positionality, power-knowledge and human and more-than-human agency. Less articulated, however is the potential of these practices to address large scale and interrelated global challenges associated with climate and cultural-ecological crisis which coincide with the intensification of late capitalism, colonialism, and white supremacism. Relatedly, at global levels human rights approaches to planetary wellbeing continue to predominate and prominent international agreements such as UNDRIP, SDG, IPCCC and the Global Compact for Migration remain siloed from one another. Providing a broad sketch of these themes I then propose a whakapapa or kinship-based approach to life as laying the conceptual foundation for three regenerative place-based strategies which I subsequently introduce. Each strategy treats contemporary global challenges as interconnected and positions Indigenous knowledges and lifeways as playing a crucial role in addressing these. Moving from Indigenous philosophy in environmental education to broad intersectoral action, these strategies also make the interconnections between individual, collectivist, and structural approaches to Indigenous-led intergenerational resilience as one means to support our collective action toward healing human-environmental relations.
Examining the development of information needs assessment tools for use in the cancer context: A scoping and critical review
Authors: Thiessen Maclean , Harris Daranne , Tang Patricia A. , Bouchal Shelley Raffin , Sinclair Shane 
Published: September 2023

AbstractBackgroundInformation needs are one of the most common unmet supportive care needs of those living with cancer. Little is known about how existing tools for assessing information needs in the cancer context have been created or the role those with lived cancer experience played in their development.ObjectivesThis review aimed to characterize the development and intended use of existing cancer specific information needs assessment tools.MethodsA systematic scoping review was conducted using a peer-reviewed protocol informed by recommendations from the Joanna Briggs Institute and the Prefered Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklist.ResultsTwenty-one information needs assessment tools were included. Most tools were either breast cancer (n = 8) or primary tumor nonspecific (n = 8). Patients and informal carers participated in initial identification of questionnaire items in the minority of cases (n = 6) and were more commonly involved in reviewing the final questionnaire before use or formal psychometric testing (n = 9). Most questionnaires were not assessed for validity or reliability using rigorous quantitative psychometric testing.Significance of resultsExisting tools are generally not designed to provide a rigorous assessment of informational needs related to a specific cancer challenge and are limited in how they have been informed by those with lived cancer experience. Tools are needed that both rigirously address information needs for specific cancer challenges and that have been developed in partnership with those who have experienced cancer. Future directions should include understanding barriers and facilitators to developing such tools.
The Oxidation States of Iron in Dry and Wet Olivine: A Thermodynamic Model
Authors: Muir Joshua M. R. , Jollands Michael , Zhang Feiwu 
Published: September 2023

AbstractThe oxidation state of iron in olivine is an important control on many of its properties but is poorly constrained in mantle conditions. In this work Density Functional Theory is used to build a thermodynamic model of Fe oxidation states and incorporation mechanisms as a function of silica activity (αSiO2), pressure (P), temperature (T), oxygen fugacity (fO2), and the concentrations of Fe, H2O, Ti, and Al. Total Fe3+/∑Fe, Fe oxidation pathways and by‐products of Fe oxidation (such as Mg and Si vacancies) have a complex dependence upon αSiO2, P, T, and fO2, which are difficult to capture using simple Arrhenius relations and experiments over limited ranges. Our model predicts that in the conditions of the upper mantle, depth is the strongest control on Fe3+/∑Fe and that this relationship is strongly nonmonotonic and varies over several orders of magnitude. Fe3+/∑Fe is predicted to always be low reaching a maximum of 0.003 at around 100 km depth under normal mantle conditions though the presence of large amounts of water could increase this value further (0.03 with 500 ppmw water). While the Ferric iron concentration is predicted to be low, the concentration of Mg and Si vacancies—and thus vacancy dependent properties such as diffusion and likely strength—are predicted to be primarily a function of iron oxidation. These properties are predicted to vary by multiple orders of magnitude across the depth range of the upper mantle and thus olivine is predicted to have highly dynamic rather than static properties.
Dendritic Growth Patterns in Rocks: Inverting the Driving and Triggering Mechanisms
Authors: Liu Chong , Calo Victor M. , Regenauer‐Lieb Klaus , Hu Manman 
Published: September 2023

AbstractMineral precipitation can form complex patterns under non‐equilibrium conditions, in which two representative patterns are rhythmic Liesegang stripes and fractal dendrites. Interestingly, both patterns occur in the same rock formations, including various dendritic morphologies found in different rocks, such as limestone and sandstone. However, the underlying mechanism for selecting the vastly different mineral precipitation patterns remains unclear. We use a phase‐field model to reveal the mechanisms driving pattern selection in mineral precipitation. Simulations allow us to explore the effects of diffusion parameters on determining the dendritic morphologies. We also propose a general criterion to distinguish the resulting dendrites in simulations and field observations based on a qualitative visual distinction into three categories and a quantitative fractal dimension (FD) phase diagram. Using this model, we reproduce the classified dendrites in the field and invert for the key parameters that reflect the intrinsic material properties and geological environments. This study provides a quantitative tool for identifying the morphology selection mechanism with potential applications to geological field studies, exploration for resource evaluation, and other potential industrial applications.