bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dam cascade in run‐of‐river systems promotes homogenisation of fish functional traits in a plateau river
Authors: Ticiani Douglas , Larentis Crislei , de Carvalho Débora Reis , Ribeiro Ana Cristina , Delariva Rosilene Luciana 
Published: September 2022

AbstractImpoundments caused by dams are often responsible for intense changes in physical, chemical, geomorphological and hydrological characteristics of rivers, and are one of the main causes in global freshwater biodiversity declines. When these changes derive from multiple cascading dams, the cumulative effect can amplify, causing more pronounced consequences than each individual reservoir, which may affect, among other factors, the biotic and functional conditions of fish fauna. We aim to evaluate the impact of dam cascades on fish functional diversity by applying trait‐based analysis. We evaluate the functional attributes (functional indices and community‐weighted means of trait values) and environmental variables at 11 sites, which encompassed different segments affected by the hydroelectric plants (transition, reservoir, reduced discharge section and tributary) in the Antas River Basin dam cascade system located in southern Brazil. The spatial differences of the functional indices (richness, evenness, divergence, dispersion and diversity) as well as the weighted averages of each functional trait were tested through analysis of variance. The most affected functional characteristics were those related to habitat exploration by detritivorous species, especially the use of food resources and body shape, as well as the type of swimming movement. These traits were more representative at the most downstream site of the complex. Thus, our results suggest that the cascade of dams acts in the functional homogenisation of the ichthyofauna in the intermediate stretches, mainly reflecting physical changes in habitat.
Drug‐resistant epilepsy and mortality—Why and when do neuromodulation and epilepsy surgery reduce overall mortality
Authors: Rheims Sylvain , Sperling Mickael R. , Ryvlin Philippe 
Published: September 2022

AbstractPatients with drug‐resistant epilepsy have an increased mortality rate, with the majority of deaths being epilepsy related and 40% due to sudden unexpected death in epilepsy (SUDEP). The impact of epilepsy surgery on mortality has been investigated since the 1970s, with increased interest in this field during the past 15 years. We systematically reviewed studies investigating mortality rate in patients undergoing epilepsy surgery or neuromodulation therapies. The quality of available evidence proved heterogenous and often limited by significant methodological issues. Perioperative mortality following epilepsy surgery was found to be <1%. Meta‐analysis of studies that directly compared patients who underwent surgery to those not operated following presurgical evaluation showed that the former have a two‐fold lower risk of death and a three‐fold lower risk of SUDEP compared to the latter (odds ratio [OR] 0.40, 95% confidence interval [CI]: 0.29–0.56;p < .0001 for overall mortality and OR 0.32, 95% CI: 0.18–0.57;p < .001 for SUDEP). Limited data are available regarding the risk of death and SUDEP in patients undergoing neuromodulation therapies, although some evidence indicates that vagus nerve stimulation might be associated with a lower risk of SUDEP. Several key questions remain to be addressed in future studies, considering the need to better inform patients about the long‐term benefit–risk ratio of epilepsy surgery. Dedicated long‐term prospective studies will thus be required to provide more personalized information on the impact of surgery and/or neuromodulation on the risk of death and SUDEP.
Deep learning‐based clustering of processes and their visual exploration: An industry 4.0 use case for small, medium‐sized enterprises
Authors: Mehdiyev Nijat , Mayer Lea , Lahann Johannes , Fettke Peter 
Published: September 2022

AbstractThis paper proposes a multi‐stage approach consisting of deep learning‐based image classification, process trace clustering, and visual/statistical knowledge discovery of process data. The proposed decision augmentation solution aims to facilitate the production planners in estimating the process‐specific production parameters such as activity duration, idle time, or machine utilization. This study focuses on ‘one‐of‐a‐kind production’ (OKP). Planning in OKP is especially challenging due to the increasing individualization of customer requirements. Furthermore, the uniqueness of products adds complexity to data and information structuring. To tackle this issue, we first train deep convolutional neural networks (CNN) with image data of production parts obtained from computer‐aided design (CAD) systems to extract meaningful features. After cross‐validation, uncertainty, and robustness assessment of the adopted deep learning approach, we use the data representation from the penultimate layer as input for clustering production parts. The goodness of clustering results is evaluated using a series of internal clustering validation indices. Finally, process event log data provided by manufacturing execution systems (MES) is mapped to each production part, allowing us to conduct statistical and visual knowledge discovery of process parameters for each cluster. The relevance of our proposed approach has been validated by studying a real‐world use case in a small, medium‐sized enterprise (SME) operating in the fixture and jig manufacturing industry.
A hybrid recommender system based on description/dialetheic logic and linked data
Authors: Santos Ricardo Dos , Aguilar Jose 
Published: September 2022

AbstractIn this research, we developed a hybrid recommender system based on description/dialetheic logic, which provides an innovative architecture for the recommendation based on ambiguous reasoning. In addition, our approach allows enriching the knowledge during the reasoning using the linked data paradigm. Thus, the architecture allows the integration of linked data, in order to be exploited by the recommender. On the other hand, the reasoning mechanisms of dialetheic logic allow handling situations of contradiction or inconsistency, to determine the information to offer to users. According to the reviewed literature, our proposal is the first that implements a dialetheic engine in a Recommender System. In general, there are a lot of works about the utilization of linked open data (LOD) to improve the Recommender Systems, for example, to enrich the information to recommend or to solve the cold start problem. However, there are no proposals to deal with the problems of ambiguity, incoherence or incompleteness of the information in these environments extended with LOD. In this way, this paper proposes a hybrid reasoning engine that uses the linked data paradigm for the knowledge extraction, and dialetheic logic for the management of inconsistency/ambiguity information, in order to obtain recommendations. Particularly, the information extracted with Linked Data is processed with the Dialetheic Logic reasoner to solve ambiguous cases. Thus, each recommendation is enriched with related content extracted from the linked data sources, which has been disambiguated. The results are very promising since our hybrid reasoning mechanism allows obtaining more precise recommendations, considering the different classical states of ambiguity in dialetheic logic (contingent statements about the future, failure of a presupposition, vagueness, counterfactual reasoning), according to various metrics of quality used to evaluate the recommendations achieved.
Monitoring nature's calendar from space: Emerging topics in land surface phenology and associated opportunities for science applications
Authors: Ma Xuanlong , Zhu Xiaolin , Xie Qiaoyun , Jin Jiaxin , Zhou Yuke , Luo Yunpeng , Liu Yuxia , Tian Jiaqi , Zhao Yuhe 
Published: September 2022

AbstractVegetation phenology has been viewed as the nature's calendar and an integrative indicator of plant‐climate interactions. The correct representation of vegetation phenology is important for models to accurately simulate the exchange of carbon, water, and energy between the vegetated land surface and the atmosphere. Remote sensing has advanced the monitoring of vegetation phenology by providing spatially and temporally continuous data that together with conventional ground observations offers a unique contribution to our knowledge about the environmental impact on ecosystems as well as the ecological adaptations and feedback to global climate change. Land surface phenology (LSP) is defined as the use of satellites to monitor seasonal dynamics in vegetated land surfaces and to estimate phenological transition dates. LSP, as an interdisciplinary subject among remote sensing, ecology, and biometeorology, has undergone rapid development over the past few decades. Recent advances in sensor technologies, as well as data fusion techniques, have enabled novel phenology retrieval algorithms that refine phenology details at even higher spatiotemporal resolutions, providing new insights into ecosystem dynamics. As such, here we summarize the recent advances in LSP and the associated opportunities for science applications. We focus on the remaining challenges, promising techniques, and emerging topics that together we believe will truly form the very frontier of the global LSP research field.
Changes in fatty acid profiles of microencapsulated fish oils prepared with citrus essential oils using a spray dryer
Authors: Durmuş Mustafa 
Published: September 2022

SummaryTo decrease global fruit processing wastes, particularly citrus peel waste accounting for 50% weight of fresh fruits, have appeared as a promising and sustainable source for the industrial potential of biological valorisation into fuels or chemicals. For this purpose, this study aimed to evaluate the effects of the addition of citrus peel essential oils on the fatty acid profile of microencapsulated anchovy oil by spray drying at 0, 5, and 10 weeks of storage at ambient temperature (24 ± 1 °C). GC–MS analysis shows that the most common volatile components of lemon, grapefruit and orange essential oils were d‐limonene (27.82%), limonene glycol (21.55%) and d‐limonene (61.69%), respectively. Initial PUFA values were determined as 25.14%, 30.32%, 26.52%, and 30.87% for the control, grapefruit, lemon, and orange treatment groups, respectively. Although the ratio of ΣPUFA/ΣSFA was observed to vary between 0.48 and 0.94 in all groups, the ratio of Σn6/n3 was in the range of 0.10 for grapefruit and 0.58 for orange. The best citrus essential oils were grapefruit that preserved the content of PUFA in microencapsulated anchovy oil. Therefore, it is suggested that grapefruit EOs can be used effectively to preserve fish oil quality and extend the shelf life of microencapsulated fish oil.
Effects of concentration methods on the characteristics of spray‐dried black soybean cooking water
Authors: Echeverria‐Jaramillo Esteban , Shin Weon‐Sun 
Published: September 2022

SummaryLegume cooking water (CW) is a food by‐product with the potential of becoming a plant‐based egg white replacement; however, limited research has been performed on processes to propel its industrialisation. Consequently, this study assessed the impact of concentration methods (thin‐film evaporation; cryoconcentration [CC]; and stove‐top boiling [BL]) on the composition and characteristics of spray‐dried CW powders. CW was concentrated from 6.8 to 22 °Brix. Subsequent analyses showed that the powder characteristics were an outcome of their particle size and composition. CC powders with 18.56 ± 0.85% protein and D50 = 0.14 ± 0.01 μm presented the lowest‐performing functionality. Conversely, BL powders (25.13 ± 0.50% protein and D50 = 3.70 ± 0.47 μm) displayed enhanced emulsification and foaming. Hence, the properties of CW improved with thermal concentration. These results lay the ground for selecting and optimising a concentration procedure aiming to industrialise the production of CW.
Efficacy of chitosan‐pectin beads encapsulated with combined garlic and holy basil essential oils on shelf life extension of ready to eat food
Authors: Sriwattana Sujinda , Torpol Kittikoon , Prinyawiwatkul Witoon , Sangsuwan Jurmkwan 
Published: September 2022

SummaryChitosan‐coated pectin beads containing mixed garlic and holy basil essential oils (GEO + HBEO) were prepared to inhibit microbial growth and extend shelf life of chilled stir‐fried pork with basil leaves on rice. The factors affecting release of GEO + HBEO were determined. Increasing environmental relative humidity, temperature and time enhanced a release rate of mixed oils from the beads. Antimicrobial activity of beads was evaluated by disc volatilisation method. Beads, at 2.20 and 4.40 g, could inhibit Bacillus cereus, Clostridium perfringens, Escherichia coli, Pseudomonas fluorescens, Listeria monocytogenes and Staphylococcus aureus. The beads were applied in packaging of chilled stir‐fried pork with basil leaves on rice. During storage, samples containing beads had Total Plate Count (TPC) less than that of the sample without beads. Furthermore, sample without beads had TPC over the limit on Day9, whereas sample with beads had TPC <106 CFU/g until Day24. A sensory triangle test showed that the sample without beads was significant different in appearance, odour and off flavour attributes from the control (sample kept in freezer) on Day5, while the sample with beads was significant different from the control on Day8; therefore, the shelf life based on sensory differences could be extended by 3 days.
Physicochemical and sensory attributes of gluten‐free sourdough breads produced from underutilised African cereal flours and flour blends
Authors: Adepehin Jemima Omonigho , Enujiugha Victor N. , Badejo Adebanjo A. , Young Glenn M. , Odeny Damaris Achieng 
Published: September 2022

SummaryTo seek potential alternative(s) for imported wheat in the African baking industry, the physicochemical parameters and sensory attributes of sourdough breads developed from locally sourced underutilised cereals and their blends were assessed. Processed sorghum (Sorghum bicolour), finger millet (Eleusine coracana) and pearl millet (Pennisetum glaucum) and their composites (50:50) were used to produce sourdough. Sourdough and flour‐sourdough blends (30% sourdough) were used in making gluten‐free breads. The protein content of the breads ranged from 16.29% to 39.26%, whereas the fat, crude fibre, ash and carbohydrate contents fell between 14.02–18.80%, 0.55–1.22%, 1.90–3.32% and 42.16–65.61%, respectively. The calculated energy value of the gluten‐free breads (405.99–446.39 Kcal per 100 g) exceeded that of wheat bread (396.43 Kcal per 100 g), while the specific loaf volume varied from 1.46 to 1.80 cm3 g−1. Although the produced gluten‐free breads have improved nutritional content compared to conventional wheat bread, they were at best moderately liked. This is perhaps due to the non‐cohesive nature of the crumbs and psychological preference for known products. Further research targeted at improving the organoleptic properties of these sourdough breads is recommended.
Colla corii asini–derived peptides as tyrosinase inhibitors: identification, inhibitory activity and molecular mechanism
Authors: Ji Huizhuo , Yu Zhipeng , Zhao Wenzhu 
Published: September 2022

SummaryThe aim of the present study was to investigate the effect of peptides derived from Colla corii asini on tyrosinase. The sequences of Colla corii asini–derived peptides were identified using mass spectrometry. To characterise the potential peptides with tyrosinase inhibitory activity and clarify their molecular mechanism, both in silico digestion and molecular docking were used. In addition, the tyrosinase inhibitory activities of potential peptides in vitro were also validated. The results showed that Colla corii asini consisted of 472 peptides, and most peptides derived from collagen. Peptides DGGR, DGD, NAGE, LVGE and GSEG were released from the digestion of Colla corii asini‐derived peptides and possessed potent inhibitory activity against tyrosinase with IC50 values of 0.92, 0.50, 0.77, 0.66 and 0.69 mg mL−1, respectively. The molecular interaction results showed that hydrogen bond and van der Waals interactions are important forces in the interaction of peptides with tyrosinase. Surface forces containing aromatic interaction, hydrogen bond, hydrophilicity and solvent‐accessible surface contributed to the interaction between tyrosinase and peptides.
Selenium and selenoproteins: their function and development of selenium‐rich foods
Authors: Han Mengqing , Liu Kunlun 
Published: September 2022

SummarySelenium (Se) is a nutrient related to human physiological processes and an essential trace element that has attracted considerable attention because of its antioxidant, immune and other functions. Se deficiency can cause all sorts of diseases and dysfunctions in the human tissues, but excessive intake of Se can also cause poisoning and injury. With lower toxicity and higher utilisation than inorganic Se, organic Se is recommended in the framework of a balanced diet. Compared with pharmaceutical supplementation, dietary Se supplementation is more acceptable to the masses. Thus, Se‐rich foods and selenoproteins enriched with organic Se have become a hot spot for current research. In living organisms, Se often exists in the form of selenoproteins (more than 25); for example, selenocysteine and selenomethionine are the common chemical forms of Se amino acids. And most of Se's physiological functions depend on the participation of selenoproteins. This paper reviews the physiological processes of Se, the development and utilisation of Se‐enriched foods, and the research on the properties of selenoproteins. Some suggestions and prospects for developing Se‐rich food in the future are also provided.
Global Burden of Disease Study 2019: an opportunity to understand the growing prevalence and impact of hip, knee, hand and other osteoarthritis in Australia
Authors: Ackerman Ilana N. , Buchbinder Rachelle , March Lyn 
Published: September 2022

AbstractBackgroundUnderstanding population‐level trends in osteoarthritis (OA) is critical for planning health services and disease prevention initiatives.AimTo examine trends in the burden of hip, knee, hand and other OA related conditions in Australia from 1990 to 2019 and consider the OA burden in the context of other common conditions associated with older age.MethodsGlobal Burden of Disease Study 2019 data for Australia on OA prevalence, OA‐related years lived with disability (YLDs) and OA‐related YLDs attributable to high body mass index (BMI) were sourced for 1990–2019. Age‐standardised YLD data for ischaemic heart disease, stroke, dementia, type 2 diabetes and chronic obstructive pulmonary disease were obtained for comparison.ResultsOverall, 3.20 million Australians were estimated to have OA in 2019, with substantial growth in the prevalence of hip (+171%), knee (+126%), hand (+110%) and other types of OA (+130%) from 1990 to 2019. Age‐standardised prevalence rates reflect the contribution of population ageing. Concomitant growth in OA‐related YLDs was also evident; knee OA and hand OA demonstrated the highest disease burden in 2019 (59 684 and 41 893 YLDs respectively). The proportion of knee OA burden attributable to high BMI was 36% in 2019. In 2019, age‐standardised YLD rates were higher for OA (313 per 100 000 population) than other common conditions (range: 47 per 100 000 (ischaemic heart disease) to 284 per 100 000 (type 2 diabetes)).ConclusionsOA is an increasingly prevalent, impactful condition with a high non‐fatal disease burden relative to other health conditions. Growth in OA populations and OA‐related disability underscore the need for enhanced investment in prevention and management.
Bilateral capital flows: Gravity, push and pull
Authors: Mercado Rogelio V. 
Published: September 2022

AbstractUsing bilateral capital‐flow data from 10 advanced reporting economies, with over 186 bilateral country pairs, from 2000 to 2016, this paper provides evidence of the significance of gravity factors, such as information asymmetries and economic ties, in explaining cross‐border bilateral financial‐asset flows. In addition, this study offers new evidence of regional contagion, with bilateral capital flows decreasing more for pairs of countries with closer geographic proximity (or with less information friction) than for those that are farther apart when global risk aversion rises. These findings have policy implications for the importance of information frictions, bilateral trade ties and regional cooperation in determining the level of bilateral financial‐asset flows.
Prognosis of activities of daily living function in hospitalized patients with nursing and healthcare‐associated pneumonia due to COVID‐19
Authors: Miyashita Naoyuki , Nakamori Yasushi , Ogata Makoto , Fukuda Naoki , Yamura Akihisa 
Published: September 2022

AbstractNursing and healthcare‐associated pneumonia (NHCAP) is associated with decreased physical function. We investigated the functional outcomes at 1 year after hospital discharge in patients with COVID‐19 pneumonia. Functional decline rates for calculating the Barthel Index at the time of hospital discharge and at 1 year after hospital discharge were significantly higher in the NHCAP group than the community‐acquired pneumonia group (at hospital discharge, 54.0% vs. 31.2%, respectively, p < 0.0001; 1 year follow‐up, 37.9% vs. 8.6%, respectively, p < 0.0001). It is necessary to consider early rehabilitation, and treatment depending on the presence or absence of applicable criteria for NHCAP.
Influenza vaccine and subsequent development of zoster
Authors: Wei Kai‐Che , Chang Yu‐Chia , Huang Yu‐Tung 
Published: September 2022

AbstractBackgroundHerpes zoster (HZ), which is caused by reactivation of the latent varicella zoster virus, was not listed as a side effect of any vaccines until the introduction of coronavirus disease 2019 (COVID‐19) vaccine. This study used a nationwide population database to examine whether the HZ risk is increased after receiving the influenza vaccination.MethodsThis population‐based retrospective self‐controlled case series evaluated the association between influenza vaccine exposure and HZ risk. Data were collected from Taiwan's National Health Insurance Research Database between 2015 and 2017. Patients with HZ diagnosed within 6 months before and after receiving the influenza vaccination were included. After receiving the influenza vaccine, the first 15 and 30 days were defined as risk intervals, while the other periods were defined as control intervals. Poisson regression was used to compare the incidence rate ratio (IRR) for HZ during the risk interval vs. the control interval.ResultsIn total, 13,728 patients were diagnosed with HZ before and after receiving the influenza vaccine. The IRR for days 1–15 was significantly higher (IRR = 1.11; 95% confidence interval [CI], 1.02–1.20), but insignificant for days 1–30 (IRR = 1.04; 95% CI, 0.98–1.10). In a subgroup analysis, the IRRs were significantly higher in participants, including 50–64 years old (1.16; 95% CI, 1.02–1.33), males (1.14; 95% CI, 1.01–1.28), and healthier individuals (i.e., no history of cancer or autoimmune diseases).ConclusionsThere was a slight increase in risk of HZ in people receiving influenza vaccine in the first 1–15 days after vaccination.