bluuebunny/crossref_metadata_2025_split huggingface dataset:
Youtubers: identificación y motivos de agrado de la audiencia
Authors: Korres Alonso Oihane , Elexpuru Albizuri Iciar 
Published: January 2022

Actualmente, los youtubers se han convertido en modelos a seguir, especialmente, para los más jóvenes. En este artículo se analizan las interacciones de los seguidores de los youtubers españoles de éxito en términos de comentario y tema, identificación y motivos de agrado. Para ello, se analizan los comentarios de la audiencia a los vídeos de 10 youtuber de éxito españoles, seleccionados a partir de un estudio exploratorio atendiendo a los siguientes criterios: influencers presentes en YouTube e Instagram, edad (18-30 años), orientación sexual, notoriedad (entre 200.000 y 34 millones en el canal de YouTube) y variedad temática de su canal. A través de análisis de contenido de 1000 comentarios, se identifican los argumentos y los elementos comunes que proporcionan los y las seguidores/as. Los resultados muestran, por un lado, que la identificación con los youtubers emerge como una categoría importante, destacando la identificación aspiracional y la similitud con el influencers, y, por otro lado, que los seguidores valoran, especialmente, el humor y la personalidad del youtuber, seguido de su atractivo físico, y, en menor medida, de su inteligencia y riqueza/éxito. Se subraya el interés de seguir ahondando en la investigación en torno al impacto de los influencers en la formación de los más jóvenes, tanto a través del análisis de sus contenidos y representaciones, como de su recepción e interpretación.
Perspectives on biotic responses to repeated wildfires from decades of long-term empirical studies
Authors: Lindenmayer David , Bowd Elle , MacGregor Chris , McBurney Lachlan 
Published: January 2022

ABSTRACT
Fire can have marked impacts on biodiversity and on ecosystem condition. However, it is the sequence of multiple fires over a prolonged period of time which can have the most marked effects on biodiversity and on ecosystem condition. A good understanding of these effects comes from long-term studies. In this article we outline some of the key perspectives on the effects of fire on ecosystems and biodiversity from two large-scale, long-term monitoring studies in south-eastern Australia. These are studies in the montane ash forests of the Central Highlands of Victoria and at Booderee National Park in the Jervis Bay Territory. These studies have shown that the effects of fires are strongly influenced by: (1) The condition of an ecosystem before a fire (e.g. the age of a forest at the time it is burnt). (2) Conditions after the fire such as the extent of herbivory in regenerating vegetation and whether the ecosystem is subject to post-fire (salvage) logging. (3) Fire history (e.g. the number of past fires and the time since the previous fire). And, (4) Interactions between fire and other ecosystem drivers such as logging. We discuss some of the key implications for conservation and resource management that arise from these studies including the need to: (a) Reduce the number of stressors in some ecosystems to facilitate post-fire recovery. (b) Recognize that pre-fire human disturbances can elevate fire severity in some forest ecosystems, with corresponding negative effects on elements of the biota, and, (c) Acknowledge the inherent patchiness of wildfires and the value of unburnt areas and places burnt at low severity as critical refugia for some species; it is critical that these locations are managed accordingly (e.g. by limited additional disturbances within them). Finally, many of the insights discussed in this article have emerged only through long-term studies. More long-term monitoring and research is needed to truly understand and better manage fire in Australian ecosystems.
Effect of Particle Size and Transparent Solar Dryer Cover on the Proximate Analysis of Dried Onion
Authors: Oniya O. O. , Olatunji C. O. , Olatunji M. I. , Aremu K. O. , Adeiza O. A. 
Published: January 2022

In this work, we investigate effect of particle size and transparent solar dryer cover on the proximate analysis of dried onion.
A solar drying unit was developed and constructed for drying the of red onion slices in order to determine the proximate composition of fresh and dried red onion using multi-crop direct solar dryer. Also, the evaluation and effect of particles size and multi-crop transparent solar dryer cover on the proximate analysis of red onion during drying. Consequently, the higher efficiency of the solar collector was obtained at the higher airflow rate. The moisture content of dried onion slices was strongly affected by the thickness of the onion slices and the density of the polyethylene. The final moisture content of dried onion slices ranged from 10.85% to 13.01%, 4.95% to 6.01% ash, 4.69% to 5.26% fibre, 11.17% to 13.09% fat, 6.70% to 5.60% protein and 68.64% to 68.03% carbohydrate for particle sizes of 3 mm, 5 mm and 7 mm dry-basis depending on drying temperature cycle for low density polyethylene cover. While the final moisture content of dried onion slices ranged from 9.85% to 12.01%, 5.96% to 6.01% ash, 3.69% to 4.26% fibre, 13.17% to 12.09% fat, 5.70% to 6.60% protein and 61.64% to 58.03% carbohydrate for particle sizes of 3 mm, 5mm and 7mm dry-basis depending on drying temperature cycle for high density polyethylene cover.
Predictors of Antenatal Depression in a Tertiary Hospital in Nigeria
Authors: Solomon Enyidah Nonyenim , Esther Nonye-Enyidah , A. Jumbo Ibiebelem 
Published: January 2022

Background: Antenatal depression is very common in pregnant women all over the world. Women in the developing and poor countries are more at risk. Several risk factors have been identified and some of them may lead to unbearable pregnancy situations, that pose a threat to mother and the baby. If pregnancy must be made pleasurable for mothers, then the risk factors which predict depression in pregnancy must be identified and considered in antenatal care.
Objective: To identify risk factors which are predictors to antenatal depression in pregnant women.
Methods: Within the months of January and February 2021, all the pregnant women who registered for antenatal care in the teaching hospital, who met the study inclusion criteria were assessed for depression using the English version of Edinburgh Postnatal Depression scale (EPDS) and a study designed risk factor questionnaire, which contained socio-demographic variables and other factors. Data obtained were analyzed using the statistical package for social sciences (SPSS) version 23. Variables were compared using chi squared and t-tests and p values < 0. 05 were statistically significant.
Results: Five hundred (500) respondents completed the study, 158 (31.6%) were depressed. Risk factors of co-habiting, threats to life, and/or pregnancy, fight with spouse and other forms of abuse, previous abortions and child health challenges, were predictors of antenatal depression.
Conclusion: Depression in pregnancy should be part of routine antenatal care by obstetricians noting the predictors.
Zinc (Zn) and Iron (Fe) Fertilization for Improving the Antioxidant Enzyme Activity and Biochemical Constituents in Capsicum Hybrids
Authors: Behera Prakash Ranjan , Chitdeshwari T. , Malarvizhi P. , Sivakumar U. , Vethamoni P. Irene 
Published: January 2022

Micronutrients, particularly Iron (Fe) and Zinc (Zn), play a vital role in the growth and development of plants due to their catalytic effect on many metabolic processes. However, the biochemical responses to the applied micronutrients vary with cultivars and their species. A screening experiment was conducted during 2020 to know the antioxidants enzyme activities and biochemical constituents in response to iron and zinc fertilization by six capsicum hybrids grown in grow bags under shade net conditions. The experiment consists of three treatments viz., Control (No Fe & Zn), 50 kg FeSO4 and 37.5 kg ZnSO4 ha-1 as a basal soil application with six capsicum hybrids viz., Indra, Priyanka, Inspiration, Massilia, Bachata, and Local green. Leaf samples of the capsicum hybrids were collected at Fruiting stage and analysed for antioxidant enzyme activities. The fruit samples were used for quantifying the biochemical constituents. The results revealed that, application of ferrous sulphate (FeSO4) and zinc sulphate (ZnSO4) to capsicum hybrids increased the biochemical constituents in fruits and the antioxidant enzyme activities in leaves. Out of the six hybrids tested, Indra possessed higher ascorbic acid content (9.20 mg 100 g-1 fresh weight), acidity (6.0), and total soluble solids (6.10 Brix) in the fruits, which was followed by Inspiration and Bachata. The superoxide dismutase (6.70 unit’s mg-1 protein) and peroxidase (6.90 unit’s g-1 fresh weight) activities were also higher with the same genotypes. The biochemical constituents and antioxidant enzyme response to Zn addition was better than Fe. There was 13.2, 10.9 and 9.5 per cent increase in titratable acidity, total soluble solids, ascorbic acid content in the fruits of Indra due to ZnSO4 application.The Principal Component Analysis (PCA) and hierarchical clustering revealed that Indra is highly responsive to Zn and Fe fertilization, while the local green showed very less response. The rest of the genotypes such as Inspiration, Bachata, Massilia, and Priyanka, are medium responsive for Zn and Fe fertilization.
Exploration of Phytopharmacognostic Study of Alianthus excelsa Roxb.(Simaroubaceae) Leaves
Authors: Shinde Poonam , Bhambar Rajendra , Patil Pankaj 
Published: January 2022

Aim: The purpose of this research is to look at the pharmacognostic and phytochemical properties of Alianthus excelsa leaves. Methods and Materials: The tree Alianthus excelsa Roxb. belongs to the Simaroubaceae family and is native to Central and Southern India. The entire methanolic extract of Alianthus excelsa leaves was examined for its microscopical, physicochemical, phytochemical, isolation, characterisation, and anti-inflammatory activities. Leaf powder was tested for total ash, water soluble, acid insoluble, alcohol soluble extractive, water soluble extractive, moisture content, and fluorescence property.
Results: Carbohydrates, phenolics, flavonoids, alkaloids, and amino acids were found in the leaf methanolic oven dried extract. To determine the existence of phenolic content in extracts, total phenolic and total flavonoid contents were calculated. Phytoconstituents such as flavonoids and saponin glycoside were found in the leaf sections throughout the experiment, which were isolated using column chromatography and characterised using IR, NMR, and mass spectroscopy. Three flavonoids and one flavonoid
Genomic Patterns are Associated with Different Sequelae of Patients with Long‐Term COVID‐19
Authors: Zhang Nan , Luo Xizi , Ji Xiangwen , Tian Tian , Wu Runze , Zhao Shishun , Wang Guoqing 
Published: January 2025

AbstractIn the post‐large era, various COVID‐19 sequelae are getting more and more attention to health problems. Although the mortality rate of the COVID‐19 infection is now declining, it is often accompanied by new clinical sequelae with different symptoms such as fatigue after infection, loss of smell. The degree of age, gender, virus infection seems to be weakly correlated with clinical symptoms. Human genetic variation plays a significant role in the sequelae of the COVID‐19 infection. This study aims to analyze the genomic differences between individuals with different COVID‐19 sequelae. In this study, the exomes of 97 patients with Omicron with 8 unique clinical manifestations are sequenced, and conducted a systematic analysis. Based on non‐negative matrix factorization algorithms, the trinucleotide mutation spectrum of four long‐term COVID‐19 genomes is summarized and found that individuals with different clinical symptoms have unique DNA mutation patterns and indel patterns. By constructing a Genomic Fingerprinting Framework, the driver genes of variation in each symptomatic population are deciphered and analyzed. This study showed that population‐specific mutational fingerprint differences are the main cause of heterogeneity in long‐term COVID‐19 sequelae. This study provides new ideas and insights into the causes of the long‐term COVID‐19 sequelae.
Generation of Multiple‐Depth 3D Computer‐Generated Holograms from 2D‐Image‐Datasets Trained CNN
Authors: Yan Xingpeng , Li Jiaqi , Zhang Yanan , Chang Hebin , Hu Hairong , Jing Tao , Li Hanyu , Zhang Yang , Xue Jinhong , Yu Xunbo , Jiang Xiaoyu 
Published: January 2025

AbstractGenerating computer‐generated holograms (CGHs) for 3D scenes by learning‐based methods can reconstruct arbitrary 3D scenes with higher quality and faster speed. However, the homogenization and difficulty of obtaining 3D high‐resolution datasets seriously limit the generalization ability of the model. A novel approach is proposed to train 3D encoding models based on convolutional neural networks (CNNs) using 2D image datasets. This technique produces virtual depth (VD) images with a statistically uniform distribution. This approach employs a CNN trained with the angular spectrum method (ASM) for calculating diffraction fields layer by layer. A fully convolutional neural network architecture for phase‐only encoding, which is trained on the DIV2K‐VD dataset. Experimental results validate its effectiveness by generating a 4K phase‐only hologram within only 0.061 s, yielding high‐quality holograms that have an average PSNR of 34.7 dB along with an SSIM of 0.836, offering high quality, economic and time efficiencies compared to traditional methods.
Personalized Human Astrocyte‐Derived Region‐Specific Forebrain Organoids Recapitulate Endogenous Pathological Features of Focal Cortical Dysplasia
Authors: Xu Jinhong , Kong Yufei , Wang Nawen , Li Huijuan , Li Yunteng , Liu Zhuo , Yang Yuling , Yu Xiao , Liu Huihui , Ding Jing , Wang Yi , Zhao Rui , Shao Zhicheng 
Published: January 2025

AbstractFocal cortical dysplasia (FCD) is a highly heterogeneous neurodevelopmental malformation, the underlying mechanisms of which remain largely elusive. In this study, personalized dorsal and ventral forebrain organoids (DFOs/VFOs) are generated derived from brain astrocytes of patients with FCD type II (FCD II). The pathological features of dysmorphic neurons, balloon cells, and astrogliosis are successfully replicated in patient‐derived DFOs, but not in VFOs. It is noteworthy that cardiomyocyte‐like cells correlated with dysmorphic neurons are generated through the high activation of BMP and WNT signaling in some of the FCD‐organoids and patient cortical tissues. Moreover, functional assessments demonstrated the occurrence of epileptiform burst firing and propagative self‐assembling neuronal hyperactivity in both FCD‐DFOs and VFOs. Additionally, the heterotopic cardiomyocyte‐organoids demonstrated the capacity for cardiomyocyte contraction and rhythmic firing. The presence of these cardiomyocytes contributes to the hyperactivity of neural networks in cardioids‐DFOs assembly. In conclusion, the personalized region‐specific forebrain organoids derived from FCD patient astrocytes effectively recapitulate heterogeneous pathological features, offering a valuable platform for the development of precise therapeutic strategies.
Molten Salt‐Assisted Synthesis of Porous Precious Metal‐Based Single‐Atom Catalysts for Oxygen Reduction Reaction
Authors: Fan Chenming , Gao Xin , Tang Pengyi , Wang Qiang , Li Bing 
Published: January 2025

AbstractPrecious metal‐based single‐atom catalysts (PM‐SACs) hosted in N‐doped carbon supports have shown new opportunities to revolutionize cathodic oxygen reduction reaction (ORR). However, stabilizing the high density of PM‐Nx sites remains a challenge, primarily due to the inherently high free energy of isolated metal atoms, predisposing them to facile atomic agglomeration. Herein, a molten salt‐assisted synthesis strategy is proposed to prepare porous PM1/N‐CPores (PM = Ru, Pt, and Pd) electrocatalysts with densely accessible PM‐Nx sites. A hierarchically porous N‐doped carbon substrate (N‐CPores), synthesized via the NaCl‐assisted pyrolysis of zeolitic imidazolate framework‐8, effectively improves the utilization of PM‐Nx sites by increased reactants accessible surface area and reduced mass transfer resistance. In accordance with theoretical calculations, the as‐prepared Ru1/N‐CPores, featuring superior intrinsic active Ru‐N4 sites, exhibit outstanding ORR turnover frequency of 6.19 e− site−1 s−1, and outperforms the commercial Pt/C with a 5.3‐fold of mass activity (5.83 ± 0.61 A mg−1) at 0.8 V versus reversible hydrogen electrode. The commendable activity and stability of Ru1/N‐CPores in a real fuel cell device further affirm its practical applicability.
Bionic Hollow Porous Carbon Nanofibers for Energy‐Dense and Rapid Zinc Ion Storage
Authors: Yang Guangjie , Zhang Qian , He Chenweijia , Gong Zhe , Liu Zhenlu , Song Jian , Jiang Shaohua , Han Jingquan , Yang Haoqi , Li Xue , Pei Zengxia , He Shuijian 
Published: January 2025

AbstractSuboptimal spatial utilization and inefficient access to internal porosity preclude porous carbon cathodes from delivering high energy density in zinc‐ion hybrid capacitors (ZIHCs). Inspired by the function of capillaries in biological systems, this study proposes a facile coordination‐pyrolysis method to fabricate thin‐walled hollow carbon nanofibers (CNFs) with optimized pore structure and surface functional groups for ZIHCs. The capillary‐like CNFs maximize the electrode/electrolyte interface area, facilitating the optimal utilization of energy storage sites. The precision‐engineered pore sizes in the fiber walls are specifically tailored to accommodate solvated [Zn(H2O)6]2+, thus enhancing ion storage capacity and supporting accelerated transport kinetics. The resultant ZIHCs achieve a battery‐grade energy density of 132.8 Wh kg−1 (based on active material), remarkable stability (98.7 % retention after 80,000 cycles at 10 A g−1), along with practically high areal capacities. Combined in situ/ex situ spectroscopic characterizations, kinetic analyses, and theoretical calculations revealed that the superior energy storage performance arises from the advantageous microstructure of the biomimetic CNFs and the reversible physical/chemical adsorption process. This investigation offers a novel strategy for designing high‐efficiency zinc ion storage carbon nanomaterials and provides insights into the cathodic storage mechanisms essential for advancing ZIHCs.
Neuroimaging Findings of Psychosis in Alzheimer's Disease: A Systematic Review
Authors: Nabizadeh Fardin , Sheykhlou Shadi , Mahmoodi Sara , Khalili Elham , Zafari Rasa , Hosseini Helia 
Published: January 2025

ABSTRACTBackgroundPrevious studies on neuroimaging findings in Alzheimer's disease (AD) patients with hallucinations and delusions have yielded inconsistent results. We aimed to systematically review neuroimaging findings of delusions and hallucinations in AD patients to describe the most prominent neuroimaging features.MethodsWe performed a comprehensive search in three online databases, including PubMed, Scopus, and Web of Science in June 2023. We included studies that reported neuroimaging features of AD patients with delusion, hallucination, or psychosis.ResultsAfter the screening, 34 studies with 2241 AD patients were eligible to be included in our qualitative synthesis. On the basis of the included studies, there are significant changes in the volume and perfusion levels of broad brain areas, including the hippocampus, amygdala, insula, cingulate, occipital, frontal, prefrontal, orbitofrontal, temporal, and parietal cortices in these patients. Moreover, AD patients with psychosis, hallucinations, or delusions reflected different EEG waves compared to AD patients without these disorders.ConclusionThe results of our review provided evidence about the neuroimaging alterations in AD patients suffering from psychosis, hallucinations, and delusions using different imaging methods. AD patients with psychosis, hallucinations, or delusions have significant differences in the volume and perfusion levels of various brain regions along with alterations in EEG waves and biological molecules compared to patients with only AD.
Deep Learning–Based Prediction of Freezing of Gait in Parkinson's Disease With the Ensemble Channel Selection Approach
Authors: Abbasi Sara , Rezaee Khosro 
Published: January 2025

ABSTRACTPurposeA debilitating and poorly understood symptom of Parkinson's disease (PD) is freezing of gait (FoG), which increases the risk of falling. Clinical evaluations of FoG, relying on patients’ subjective reports and manual examinations by specialists, are unreliable, and most detection methods are influenced by subject‐specific factors.MethodTo address this, we developed a novel algorithm for detecting FoG events based on movement signals. To enhance efficiency, we propose a novel architecture integrating a bottleneck attention module into a standard bidirectional long short‐term memory network (BiLSTM). This architecture, adaptable to a convolution bottleneck attention–BiLSTM (CBA‐BiLSTM), classifies signals using data from ankle, leg, and trunk sensors.FindingGiven three movement directions from three locations, we reduce computational complexity in two phases: selecting optimal channels through ensemble learning followed by feature reduction using attention mapping. In FoG event detection tests, performance improved significantly compared to control groups and existing methods, achieving 99.88% accuracy with only two channels.ConclusionThe reduced computational complexity enables real‐time monitoring. Our approach demonstrates substantial improvements in classification results compared to traditional deep learning methods.