bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spinocerebellar ataxia 38: structure–function analysis shows ELOVL5 G230V is proteotoxic, conformationally altered and a mutational hotspot
Authors: Ferrero Enza , Di Gregorio Eleonora , Ferrero Marta , Ortolan Erika , Moon Young-Ah , Di Campli Antonella , Pavinato Lisa , Mancini Cecilia , Tripathy Debasmita , Manes Marta , Hoxha Eriola , Costanzi Chiara , Pozzi Elisa , Rossi Sebastiano Matteo , Mitro Nico , Tempia Filippo , Caruso Donatella , Borroni Barbara , Basso Manuela , Sallese Michele , Brusco Alfredo 
Published: May 2023

AbstractFatty acid elongase ELOVL5 is part of a protein family of multipass transmembrane proteins that reside in the endoplasmic reticulum where they regulate long-chain fatty acid elongation. A missense variant (c.689G>T p.Gly230Val) in ELOVL5 causes Spinocerebellar Ataxia subtype 38 (SCA38), a neurodegenerative disorder characterized by autosomal dominant inheritance, cerebellar Purkinje cell demise and adult-onset ataxia. Having previously showed aberrant accumulation of p.G230V in the Golgi complex, here we further investigated the pathogenic mechanisms triggered by p.G230V, integrating functional studies with bioinformatic analyses of protein sequence and structure. Biochemical analysis showed that p.G230V enzymatic activity was normal. In contrast, SCA38-derived fibroblasts showed reduced expression of ELOVL5, Golgi complex enlargement and increased proteasomal degradation with respect to controls. By heterologous overexpression, p.G230V was significantly more active than wild-type ELOVL5 in triggering the unfolded protein response and in decreasing viability in mouse cortical neurons. By homology modelling, we generated native and p.G230V protein structures whose superposition revealed a shift in Loop 6 in p.G230V that altered a highly conserved intramolecular disulphide bond. The conformation of this bond, connecting Loop 2 and Loop 6, appears to be elongase-specific. Alteration of this intramolecular interaction was also observed when comparing wild-type ELOVL4 and the p.W246G variant which causes SCA34. We demonstrate by sequence and structure analyses that ELOVL5 p.G230V and ELOVL4 p.W246G are position-equivalent missense variants. We conclude that SCA38 is a conformational disease and propose combined loss of function by mislocalization and gain of toxic function by ER/Golgi stress as early events in SCA38 pathogenesis.
Oxime and thiazolidine chemoselective ligation reactions: a green method for cotton functionalization
Authors: Albini Francesca , Biondi Barbara , Lastella Luana , Peggion Cristina 
Published: May 2023

AbstractDuring the last years, the need to create textile materials provided with peculiar properties has grown significantly. In particular, new textiles are studied to be a first protection in the prevention of living organisms from pathogens. In this regard, modifying a textile material with biologically active compounds, such as antibacterial or antiviral peptides would be useful for many applications. Our work shows a study on the possibility of modifying cotton fabrics with peptides using thiazolidine and oxime chemoselective ligations. For this purpose, an enzymatic oxidation of cellulose in a heterogeneous phase and the possibility to reuse the oxidation solution for multiple times was successfully applied. Model peptides have been designed and synthesized in order to set up the conditions for conjugating peptides to cotton via either thiazolidine or oxime bond. A systematic study of the time, pH, and quantities needed for the best reaction conditions has been conducted. The efficiency and stability of the two chemoselective ligation bonds have been studied and compared.
Graphical abstract
Space allowance impacts behavior, productivity, reproductivity and immunity of sheep—a review
Authors: El Sabry Mohamed I. , Motsei Lebogang E. , Abdel-Mageed Ibrahim I. , Almasri Obaida 
Published: May 2023

AbstractSheep is an important producing animal in subtropical and arid regions; however, sheep farming practices and welfare standards are still not well established. To move to either intensive or intensive sheep production, stocking density (animal/area, SD) is a significant factor that influencing the welfare and productivity of animals. However, there are discrepancies in space allowance standards for wool, meat, and dairy sheep at different stages. Thus, this review article sheds light on (1) the geographical distribution of wool, meat-type, and dairy sheep populations; (2) the effects of interaction among space allowances, housing systems, and group size on the social, feeding, and aggressive behaviors and human-sheep contact; (3) the effects of space allowance on wool, growth performance, and milk production of sheep; (4) the relationship between space allowance and reproductive performance; (5) the effects of stocking rate on immunity; and (6) suggestions to mitigate the stress and deleterious influences of SD on the productivity of sheep. In conclusion, the larger space allowance with access to an outdoor yard can improve social and feeding behaviors, meat and milk yield, and wool quality. Moreover, ewes are more sensitive to SD, so they should receive an adequate space allowance at each stage. The changes in behavioral responses of each sheep breed refer to their different requirements. Therefore, there is a need to determine the impact of housing aspects, especially space allowance and enrichment tools on the productive performance and welfare indices of sheep for implementing welfare-economic standards for sheep production.
Using latent variable models to make gaming-the-system detection robust to context variations
Authors: Huang Yun , Dang Steven , Elizabeth Richey J. , Chhabra Pallavi , Thomas Danielle R. , Asher Michael W. , Lobczowski Nikki G. , McLaughlin Elizabeth A. , Harackiewicz Judith M. , Aleven Vincent , Koedinger Kenneth R. 
Published: May 2023

AbstractGaming the system, a behavior in which learners exploit a system’s properties to make progress while avoiding learning, has frequently been shown to be associated with lower learning. However, when we applied a previously validated gaming detector across conditions in experiments with an algebra tutor, the detected gaming was not associated with reduced learning, challenging its validity in our study context. Our exploratory data analysis suggested that varying contextual factors across and within conditions contributed to this lack of association. We present a new approach, latent variable-based gaming detection (LV-GD), that controls for contextual factors and more robustly estimates student-level latent gaming tendencies. In LV-GD, a student is estimated as having a high gaming tendency if the student is detected to game more than the expected level of the population given the context. LV-GD applies a statistical model on top of an existing action-level gaming detector developed based on a typical human labeling process, without additional labeling effort. Across three datasets, we find that LV-GD consistently outperformed the original detector in validity measured by association between gaming and learning as well as reliability. LV-GD also afforded high practical utility: it more accurately revealed intervention effects on gaming, revealed a correlation between gaming and perceived competence in math and helped understand productive detected gaming behaviors. Our approach is not only useful for others wanting a cost-effective way to adapt a gaming detector to their context but is also generally applicable in creating robust behavioral measures.
Choice models and recommender systems effects on users’ choices
Authors: Hazrati Naieme , Ricci Francesco 
Published: May 2023

AbstractNowadays, the users of a web platform, such as a video-on-demand service or an eCommerce site, are routinely using the platform’s recommender system (RS) when choosing which item to consume or buy (e.g. movies or books). It is therefore important to understand how the exposure to recommendations can influence the users’ choices, particularly the quality and distribution of the chosen items. However, users, even in the presence of the same RS, may show diverse and even atypical choice behaviours, which are independent of the RS; they may have a preference for choosing more popular or recent items. The effect of these behaviours on the collective evolution of the choices and the performance of the RS is not well-understood yet. In fact, in previous analyses, the users were supposed to only choose among the top recommendations, without any further discrimination. Hence, we first perform a correlation analysis, in some choice data sets, revealing that three kinds of choice behaviours, namely the tendency to choose popular, recent, and highly rated items, are actually observable in large percentages of the users. Then, we investigate how these choice behaviours, implemented as algorithmic choice models (Popularity-CM, Age-CM and Rating-CM), can influence the overall choice distribution and performance of the RS. With the aim of understanding such relationships and consequences, we have designed a simulation framework where the considered choice models (CMs) are adopted to simulate users’ choices when they are exposed to recommendations from alternative RSs. We found that (1) the choices’ distribution of a user population is significantly influenced not only by the RS, but also by the prevalent choice model of the population, (2) RS have some effects on the choices that are independent of the adoption of the CM, and (3) some important effects of the RS on users’ choice distribution depend also on the choice model that the users adopt. The study contributes to the start of a new line of research where the impact of recommendation technologies can be studied with respect to alternative decision-making approaches, which are actually followed by real users. Additionally, the simulation approach can help other researchers and practitioners to investigate the effect of deploying an RS when a certain CM is identified in a population of users.
Hydrology and hydrological extremes under climate change scenarios in the Bosque watershed, North-Central Texas, USA
Authors: Tefera Gebrekidan Worku , Ray Ram Lakhan 
Published: May 2023

AbstractThis study evaluates hydrology and hydrological extremes under future climate change scenarios. The climate change scenarios were developed from multiple Global Circulation Models (GCMs), Representative Concentration Pathway (RCP) scenarios, and statistical downscaling techniques. To ensure hydrological model robustness, the Soil Water Assessment Tool (SWAT) was calibrated and validated using the Differential Split Sample Test (DSST) approach. The model was also calibrated and validated at the multi-gauges of the watershed. Future climate change scenarios revealed a reduction in precipitation (in the order of −9.1% to 4.9%) and a consistent increase in maximum temperature (0.34°C to 4.10°C) and minimum temperature (−0.15 °C to 3.7°C) in different climate model simulations. The climate change scenarios triggered a reduction of surface runoff and streamflow and a moderate increase in evapotranspiration. Future climate change scenarios projected a decrease in high flow (Q5) and low flow (Q95). A higher reduction of Q5 and annual minimum flow is also simulated in future climate scenarios, whereas an increase in annual maximum flow is simulated in climate change scenarios developed from the RCP8.5 emission scenario. The study suggests optimal water management structures which can reduce the effect of change in high and low flows.
EDTA as a legacy soil chelatant: a comparative study to a more environmentally sensitive alternative for metal removal by Pistia stratiotes L.
Authors: Lebrun Manhattan , Száková Jiřina , Drábek Ondřej , Tejnecký Václav , Hough Rupert Lloyd , Beesley Luke , Wang Hailong , Trakal Lukáš 
Published: May 2023

AbstractThe accuracy of environmental risk assessment depends upon selecting appropriate matrices to extract the most risk-relevant portion of contaminant(s) from the soil. Here, we applied the chelatants EDTA and tartaric acid to extract a metal-contaminated soil. Pistia stratiotes was applied as an indicator plant to measure accumulation from the metal-laden bulk solutions generated, in a hydroponic experiment lasting 15 days. Speciation modeling was used to elucidate key geo-chemical mechanisms impacting matrix and metal-specific uptake revealed by experimental work. The highest concentrations of soil-borne metals were extracted from soil by EDTA (7.4% for Cd), but their uptake and translocation to the plant were restricted due to the formation of stable metal complexes predominantly with DOC. Tartaric acid solubilized metals to a lesser extent (4.6% for Cd), but a higher proportion was plant available due to its presence mainly in the form of bivalent metal cations. The water extraction showed the lowest metal extraction (e.g., 3.9% for Cd), but the metal species behaved similarly to those extracted by tartaric acid. This study demonstrates that not all extractions are equal and that metal-specific speciation will impact accurate risk assessment in soil (water)-plant systems. In the case of EDTA, a deleterious impact on DOC leaching is an obvious drawback. As such, further work should now determine soil and not only metal-specific impacts of chelatants on the extraction of environmentally relevant portions of metal(loid)s.
Evaluating the effect of upper-body morbidity on quality of life following primary breast cancer treatment: a systematic review and meta-analysis
Authors: Macdonald Eliza R. , Amorim Nadia M. L. , Hagstrom Amanda D. , Markovic Katarina , Simar David , Ward Rachel E. , Clifford Briana K. 
Published: May 2023

Abstract
Purpose
Improvements in breast cancer management continue to increase survival and life expectancy after treatment. Yet the adverse effects of treatment may persist long term, threatening physical, psychological, and social wellbeing, leading to impaired quality of life (QOL). Upper-body morbidity (UBM) such as pain, lymphoedema, restricted shoulder range of motion (ROM), and impaired function are widely reported after breast cancer treatment, but evidence demonstrating its impact on QOL is inconsistent. Therefore, the aim of the study was to conduct a systematic review and meta-analysis evaluating the effect of UBM on QOL following primary breast cancer treatment.

Methods
The study was prospectively registered on PROSPERO (CRD42020203445). CINAHL, Embase, Emcare, PsycInfo, PubMed/Medline, and SPORTDiscus databases were searched for studies reporting QOL in individuals with and without UBM following primary breast cancer treatment. Primary analysis determined the standardised mean difference (SMD) in physical, psychological, and social wellbeing scores between UBM + /UBM − groups. Secondary analyses identified differences in QOL scores between groups, according to questionnaire.

Results
Fifty-eight studies were included, with 39 conducive to meta-analysis. Types of UBM included pain, lymphoedema, restricted shoulder ROM, impaired upper-body function, and upper-body symptoms. UBM + groups reported poorer physical (SMD =  − 0.99; 95%CI =  − 1.26, − 0.71; p < 0.00001), psychological (SMD =  − 0.43; 95%CI =  − 0.60, − 0.27; p < 0.00001), and social wellbeing (SMD =  − 0.62; 95%CI =  − 0.83, − 0.40; p < 0.00001) than UBM − groups. Secondary analyses according to questionnaire showed that UBM + groups rated their QOL poorer or at equal to, UBM − groups across all domains.

Conclusions
Findings demonstrate the significant, negative impact of UBM on QOL, pervading physical, psychological, and social domains.

Implications for Cancer Survivors
Efforts to assess and minimise the multidimensional impact of UBM are warranted to mitigate impaired QOL after breast cancer.
Willingness to participate in marine volunteering: an international survey
Authors: Lucrezi Serena , Cilliers Charmaine Danielle 
Published: May 2023

AbstractWith the launch of the UN Ocean Decade, the value of inclusive approaches encouraging better stewardship and improving the management of ocean resources has been increasingly advocated. Public engagement in marine issues through volunteering in marine conservation and science can be a tool to strengthen the connection to the ocean, stimulating behaviour change and support for solutions that can mitigate human impacts on marine environments and resources. This study investigated, through an international online survey, behavioural intentions to partake in marine volunteering among people with a vested interest in marine tourism and recreation, conservation and research. Particular focus was given to drivers, barriers and enablers in marine volunteering. The participants (N = 473) were interested in marine volunteering, driven mainly by ecocentric motives, self-development, and personal well-being. Important barriers to marine volunteering included money and access, with time and skills being secondary. While the participants were convinced they would participate in marine volunteering in the future, they agreed that information and education, time, better access and incentives would enable participation. Previous volunteering experience resulted in stronger drivers to participate in marine volunteering, and perspectives also varied according to demographic variables including age and educational background. The results of this study were used to guide strategies for marine volunteer recruitment, highlighting the importance of well-designed outreach campaigns, inclusivity, and partnerships to support marine volunteering as a positive form of public engagement in marine stewardship and science.
The Application of SDS-PAGE Protein and HPTLC Amino Acid Profiling for Verification of Declared Variety and Geographical Origin of Honey
Authors: Dżugan Małgorzata , Miłek Michał , Sidor Ewelina , Buczkowicz Justyna , Hęclik Joanna , Bocian Aleksandra 
Published: May 2023

AbstractProteins and amino acids are minor components of honey that are rarely used for its quality evaluation, although these components create its biological activity as well as can serve for overheating detection. The aim of the study was to use these indicators to confirm a declared on the label variety. Fifty-eight honey samples of 8 different varieties meeting the commercial quality requirements were used, including 28 local Polish and 30 commercial (mainly imported from EU and non-EU) honeys. For honey protein profiling previously used, polyacrylamide electrophoresis in denaturing conditions (SDS-PAGE) was applied whereas the free amino acid profile was analyzed by high-performance thin-layer chromatography (HPTLC) for the first time. As auxiliary indicators, the colorimetric determination of the protein content by the Bradford method, the activity of 5 glycolytic enzymes, including diastase, β-galactosidase, N-acetyl-β-glucosaminidase, α-mannosidase, and α-glucosidase, and the content of proline were used. It has been shown that based on the determined model protein SDS-PAGE profiles for selected monofloral honeys, it is possible to detect honeys of questionable variety based on the lack of specific protein bands or their diverging intensity. The HPTLC amino acid analysis can serve as a supporting control tool, capturing differences in the amino acid profile. Due to a great variation of multifloral honey, such assays are effective for monofloral honey only. The colorimetric assays, especially for total protein and β-galactosidase, can be also useful. The applied tools can be proposed for the initial verification of honey variety for cost reduction of officially recognized melissopalynological analysis.
Integrating Knowledge Management and Governance for Innovation Outcomes: A New Framework for Managing Innovation in a Project Environment
Authors: Foster Lee , Wiewiora Anna , Donnet Timothy 
Published: May 2023

AbstractOrganisational competitive advantage is highly dependent on the ability to innovate and knowledge is a key component of innovation. Our understanding of knowledge processes and mechanisms is an emerging field of study and consequently, an understanding of how micro-level, knowledge governance mechanisms can assist in managing knowledge for innovation has received limited attention in the literature. Projects have additional difficulty being innovative due to their temporality and focus on their immediate performance rather than on building capability. This qualitative case study research explores the role of knowledge governance in contributing to better management of knowledge in the context of an innovation project in a government-owned, water utility in Queensland, Australia. This research contributes to the existing literature by bringing together insights from knowledge management, knowledge governance and innovation frameworks which culminated in a new knowledge-based innovation framework. The research further demonstrates how two knowledge governance mechanisms—trust and energy—influence the innovation process to make innovative outcomes more effective through the creation and transfer of new knowledge from projects to the organisation.
Prognostic impact of tumor size on patients with metastatic colorectal cancer: a large SEER-based retrospective cohort study
Authors: Zhang Qi , Li Baosong , Zhang Shiyao , Huang Qianpeng , Zhang Maorun , Liu Gang 
Published: May 2023

AbstractGiven the poor prognosis of metastatic colorectal cancer (mCRC), this research aimed to investigate the correlation between tumor size and prognosis, and develop a novel prediction model to guide individualized treatment. Patients pathologically diagnosed with mCRC were recruited from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2015, and were randomly divided (7:3 ratio) into a training cohort (n = 5597) and a validation cohort (n = 2398). Kaplan–Meier curves were used to analyze the relationship between tumor size and overall survival (OS). Univariate Cox analysis was applied to assess the factors associated with the prognosis of mCRC patients in the training cohort, and then multivariate Cox analysis was used to construct a nomogram model. The area under the receiver-operating characteristics curve (AUC) and calibration curve were used to evaluate the predictive ability of the model. Patients with larger tumors had a worse prognosis. While brain metastases were associated with larger tumors compared to liver or lung metastases, bone metastases tended to be associated with smaller tumors. Multivariate Cox analysis revealed that tumor size was an independent prognostic risk factor (HR 1.28, 95% CI 1.19–1.38), in addition to the other ten variables (age, race, primary site, grade, histology, T stage, N stage, chemotherapy, CEA level and metastases site). The 1-, 3-, and 5-year OS nomogram model yielded AUC values of more than 0.70 in both the training and validation cohorts, and its predictive performance was superior to that of the traditional TNM stage. Calibration plots demonstrated a good agreement between the predicted and observed 1-, 3-, and 5-year OS outcomes in both cohorts. The size of primary tumor was found to be significantly associated with prognosis of mCRC, and was also correlated with specific metastatic organ. In this study, we presented the first effort to create and validate a novel nomogram for predicting 1-, 3- and 5-year OS probabilities of mCRC. The prognostic nomogram was demonstrated to have an excellent predictive ability in estimating individualized OS of patients with mCRC.