bluuebunny/crossref_metadata_2025_split huggingface dataset:
LINC01370 suppresses hepatocellular carcinoma proliferation and metastasis by regulating the PI3K/AKT pathway
Authors: Xiao Fei , Zhang Zhuoyun , Li Luqian , He Xiaojie , Chen Yufeng 
Published: August 2024

Abstract
Background
Hepatocellular carcinoma (HCC) poses a serious threat to human health worldwide. lncRNA dysregulation is frequently observed in various cancers, including HCC. However, the function of LINC01370 in HCC progression and its underlying mechanisms remain unclear.

Methods
LINC01370 expression in HCC tissues with cells was analyzed by applying the GEO and GEPIA databases and qRT-PCR. CCK-8 and Transwell assays were used to assess HCC cell proliferation, migration, and invasion. The PI3K, AKT, with p-AKT protein expression were analyzed by western blotting.

Results
Gene Expression Omnibus (GEO) and Gene Expression Profiling Interactive Analysis (GEPIA) showed that LINC01370 expression was significantly lower in HCC tissues than in normal tissues. LINC01370 overexpression markedly repressed HepG2 SMMC-7721 cells proliferation, migration, and invasion. To understand the downstream mechanism of LINC01370 regulation, we further analyzed the genes co-expressed with LINC01370 in GSE136247 and GSE132037 and then performed KEGG analysis. The PA pathway was found to be a downstream pathway regulated by LINC01370 in GSE136247 and GSE132037 via gene co-expression and KEGG analysis. Furthermore, PI3K and p-AKT protein levels decreased after LINC01370 overexpression. Importantly, rescue experiments showed that activation of the PI3K/AKT pathway disrupted the repressive effect of LINC01370 overexpression on the proliferation, migration, and invasion of HepG2 of SMMC-7721 cells.

Conclusions
This study verified that LINC01370 suppresses HCC proliferation with metastasis by regulating the PI3K/AKT pathway.
On the Revival of Neurocognitive Modeling: Testing Old Ideas with New Techniques
Authors: Roelofs Ardi 
Published: August 2024

AbstractThis article describes how synergy between cognitive psychology, computer science, and artificial intelligence led to a revival of 19th-century neurocognitive modeling in the form of 20th-century neurocognitive computational modeling. Scientific evidence about the mind and its relationship to the brain began to accumulate about two centuries ago. Neurocognitive modeling based on this evidence rose to prominence in the last quarter of the 19th century, with prominent examples being the models of Wernicke and Wundt, presented as diagrams. This work lost its influence after the First World War, but came back to life after the Second. In the 1950s, researchers began developing cognitive models, which became neurocognitive in the 1960s. Moreover, with the rise of computer science and artificial intelligence, modeling became computational. Today’s neurocognitive models, realized as diagrams or computer programs, revive the early modeling of Wernicke and Wundt in several respects. While predictions were derived and tested qualitatively from the early models, today they can be derived mathematically in computer simulations and statistically evaluated for quantitative agreement with data sets. I describe how recently 20th-century techniques have been used to test 19th-century ideas about attentional control (Wundt), choice in go/no-go tasks (Donders vs. Wundt), the role of the arcuate fasciculus in speech repetition (Wernicke), and focal behavioral symptoms in neurodegeneration (Wernicke vs. Pick).
SLAPE solar panels: a possible solution for the future energy problems of our society
Authors: Ganesh Ibram 
Published: August 2024

AbstractToday, the silicon photovoltaic cell (SPVC) solar panels are being deployed across the globe by all most all the governments to generate renewable carbon neutral electricity to use in place of the one generated at thermal power plants by burning fossil fuels. These SPVC solar panels generate electricity with less than 20% efficiency, and heat energy with more than 30% efficiency. This 10% excess heat energy released into the atmosphere can cause a very severe damage to the environment and ecology as it is million times higher than the one caused by the equivalent CO2 gas in the atmosphere with a concentration of about 421 ppm. To avoid the harmful and danger effects of heat energy released by these SPVC solar panels into the atmosphere, either they have to be stopped using or the heat generated by them has to be trapped to use for the beneficial purposes of the society or any other alternate safe solar panels have to be developed. In this study, for the first time, the SLAPE (Semiconductor and Liquid Assisted Photothermal Effect) solar panels are introduced to generate electricity from sunlight. In these new solar panels, a semiconducting material along with a stable organic solvent is employed to capture the sunlight reaching the earth surface and to convert it into the heat energy. This in situ generated heat energy is then converted into a rotational mechanical energy with the help of an heat engine, and then into electricity with the help of suitable electric generator. To establish the Proof of Concept (poc), in this study, SPV cells as semiconducting material and γ-butyrolactone were employed to fabricate a one square meter area SLAPE solar panel and generated about 17 V AC electricity with the help of a custom manufactured reciprocally moved steam engine (RMSE) and an electric generator. Thus obtained results are presented and discussed along this article.
Assessment of natural resources for energy transition in Rivers state, Nigeria
Authors: Ideki Oye , Barikor Bernard , Ajoku Osinachi 
Published: August 2024

AbstractThe increasing problems associated with global climate change due to the use of fossil fuels and greenhouse gases in the atmosphere call for serious concerns. This scenario has necessitated the need for a shift from the use of fossil fuels to renewable energy to curtail the impact of climate change on the environment. The study was conducted to assess the potential and variability of climatic and other natural resources for renewable energy and evaluation of public perception of the energy transition process in Rivers State Nigeria. The climate data was obtained from the Nigeria Meteorological Agency (NIMET) from 2000 and 2023 and analyzed using the Linear Regression Model while data on public perception was generated from structured questionnaires and analyzed using descriptive statistics. The outcome of the Regression and ANOVA analysis were generally significant for both the natural resources and residents of the study area. Also, 65.7% of the respondents affirmed that the available natural resources are viable and suitable for energy transition. The significant and positive relationship of the different climatic elements in the study signposts huge potential for the renewable energy transition in the study area. The perception of residents was positive and showed excellent knowledge of the abundance of natural resources for the energy transition. It is therefore recommended that the Rivers State government should partner with the private sector to increase investment in energy infrastructure for improved environmental sustainability.
Unlocking the potential of lupin as a sustainable aquafeed ingredient: a comprehensive review
Authors: Malarvizhi Kavitha , Kalaiselvan Pandi , Ranjan Amit 
Published: August 2024

AbstractThe aquaculture sector is facing the challenge of developing sustainable and cost-effective alternatives to traditional fish feed components. Lupin, a versatile utilitarian legume, has garnered increasing interest due to its nutritional value, desirable effects on the environment, and economic feasibility. Lupin for its high protein content, balanced amino acid profile, ease of processing, its implications in livestock development and health, and potential means of reducing the industry ecological footprint has made it a potentially advantageous aquafeed ingredient. This review explores the promising nature of lupin in aquaculture, focusing on its nutritional value, digestibility, and impact on fish health and growth. The review also discusses at recent discoveries, challenges, and potential breakthroughs to provide insight into how lupin might advance the development of sustainable aquaculture techniques.
Are Goodwill Ambassadors Good for Business? The Impact of Celebrities on International Organization Fundraising
Authors: Malik Rabia , Thorvaldsdottir Svanhildur 
Published: August 2024

Abstract
Many international organizations (IOs) rely on voluntary contributions from member states and private actors to fund their operations. Donations from individuals are a significant and increasing income source for these IOs, who rely on marketing strategies such as celebrity endorsement, in the form of Goodwill Ambassadors, to help raise funds. Little is known, however, about the effectiveness of this strategy in the context of IOs although intuition from literatures in marketing and psychology suggests that celebrity endorsement should be effective. We conduct a survey experiment to investigate the effectiveness of Goodwill Ambassadors and, contrary to expectations, find no average effect of celebrity endorsement on donations to, and interest in, IOs and only limited effects among certain sub-groups. We speculate that the context of IOs makes it harder to generate the type of connection between celebrity and cause necessary to make endorsement effective and suggest that further investigation is needed.
Neutrophil extracellular traps mediate the crosstalk between plaque microenvironment and unstable carotid plaque formation
Authors: Cao Yu , Chen Minghui , Jiao Xinyu , Li Shuijie , Wang Dong , Zhan Yongxuan , Li Jiaju , Hao Zhongfei , Li Qingbin , Liu Yang , Feng Yan , Li Ruiyan , Wang Hongjun , Liu Mingli , Fu Qiang , Li Yongli 
Published: August 2024

AbstractThe development of unstable carotid atherosclerotic plaques is associated with the induction of neutrophil extracellular traps (NETs) via the activation of diverse inflammatory mediators in the circulating bloodstream. However, the underlying mechanisms through which NETs influence the microenvironment of atherosclerotic plaques and contribute to the development of unstable carotid plaques remain largely elusive. The objective of this study was to elucidate the role of myeloid differentiation protein 1 (MD-1, LY86)-induced NETs underlying the crosstalk between unstable plaque formation and the plaque microenvironment. We employed bioinformatics analysis to identify key genes associated with carotid-unstable plaque, followed by comprehensive validation using various experimental approaches on tissue specimens and plasma samples classified based on pathological characteristics. Patients with carotid-unstable plaques exhibited elevated plasma concentrations of MD-1 (LY86), while patients with stable plaques demonstrated comparatively lower levels. Furthermore, soluble MD-1 was found to induce the formation of NETs through activation of Toll-like receptor signaling pathway. The proliferative and immature vascularization effects of NETs on endothelial cells, as well as their inhibitory impact on cell migration, are directly correlated with the concentration of NETs. Additionally, NETs were found to activate the NF-κB signaling pathway, thereby upregulating ICAM1, VCAM1, MMP14, VEGFA, and IL6 expression in both Human umbilical vein endothelial cells (HUVECs) and HAECs. Subsequently, a significant increase in intraplaque neovascularization by NETs results in poor carotid plaque stability, and NETs in turn stimulate macrophages to produce more MD-1, generating a harmful positive feedback loop. Our findings suggest that soluble MD-1 in the bloodstream triggers the production of NETs through activation of the Toll-like receptor signaling pathway and further indicate NETs mediate a crosstalk between the microenvironment of the carotid plaque and the neovascularization of the intraplaque region. Inhibiting NETs formation or MD-1 secretion may represent a promising strategy to effectively suppress the development of unstable carotid plaques.
A global annual fractional tree cover dataset during 2000–2021 generated from realigned MODIS seasonal data
Authors: Liu Yang , Liu Ronggao , Chen Jilong , Wei Xuexin , Qi Lin , Zhao Lei 
Published: August 2024

AbstractFractional tree cover facilitates the depiction of forest density and its changes. However, it remains challenging to estimate tree cover from satellite data, leading to substantial uncertainties in forest cover changes analysis. This paper generated a global annual fractional tree cover dataset from 2000 to 2021 with 250 m resolution (GLOBMAP FTC). MODIS annual observations were realigned at the pixel level to a common phenology and used to extract twelve features that can differentiate between trees and herbaceous vegetation, which greatly reduced feature dimensionality. A massive training data, consisting of 465.88 million sample points from four high-resolution global forest cover products, was collected to train a feedforward neural network model to predict tree cover. Compared with the validation datasets derived from the USGS circa 2010 global land cover reference dataset, the R2 value, MAE, and RMSE were 0.73, 10.55%, and 17.98%, respectively. This dataset can be applied for assessment of forest cover changes, including both abrupt forest loss and gradual forest gain.
The $$^{146}\text{Sm}$$ half-life re-measured: consolidating the chronometer for events in the early Solar System
Authors: Chiera Nadine M. , Sprung Peter , Amelin Yuri , Dressler Rugard , Schumann Dorothea , Talip Zeynep 
Published: August 2024

AbstractThe half-life of the extinct radiolanthanide $$^{146}\text{Sm}$$

146

Sm

, important for both geochronological and astrophysical applications, was re-determined by a combination of mass spectrometry and $$\alpha$$
α
-decay counting. Earlier studies provided only limited information on all potential factors that could influence the quantification of the half-life of $$^{146}\text{Sm}$$

146

Sm

. Thus, special attention was given here to a complete documentation of all experimental steps to provide information about any possible artifacts in the data analysis. The half-life of $$^{146}\text{Sm}$$

146

Sm

was derived to be 92.0 Ma ± 2.6 Ma, with an uncertainty coverage factor of $$\mathsf{\textit{k}\!=\!1}$$

k

=

1

.
Skin cancer detection through attention guided dual autoencoder approach with extreme learning machine
Authors: Maurya Ritesh , Mahapatra Satyajit , Dutta Malay Kishore , Singh Vibhav Prakash , Karnati Mohan , Sahu Geet , Pandey Nageshwar Nath 
Published: August 2024

AbstractSkin cancer is a lethal disease, and its early detection plays a pivotal role in preventing its spread to other body organs and tissues. Artificial Intelligence (AI)-based automated methods can play a significant role in its early detection. This study presents an AI-based novel approach, termed 'DualAutoELM' for the effective identification of various types of skin cancers. The proposed method leverages a network of autoencoders, comprising two distinct autoencoders: the spatial autoencoder and the FFT (Fast Fourier Transform)-autoencoder. The spatial-autoencoder specializes in learning spatial features within input lesion images whereas the FFT-autoencoder learns to capture textural and distinguishing frequency patterns within transformed input skin lesion images through the reconstruction process. The use of attention modules at various levels within the encoder part of these autoencoders significantly improves their discriminative feature learning capabilities. An Extreme Learning Machine (ELM) with a single layer of feedforward is trained to classify skin malignancies using the characteristics that were recovered from the bottleneck layers of these autoencoders. The 'HAM10000' and 'ISIC-2017' are two publicly available datasets used to thoroughly assess the suggested approach. The experimental findings demonstrate the accuracy and robustness of the proposed technique, with AUC, precision, and accuracy values for the 'HAM10000' dataset being 0.98, 97.68% and 97.66%, and for the 'ISIC-2017' dataset being 0.95, 86.75% and 86.68%, respectively. This study highlights the possibility of the suggested approach for accurate detection of skin cancer.
On detailed representation of flood defences and flow-wave coupling in coastal flood modelling
Authors: Duong Trang Minh , Meynadier Remi , Ranasinghe Roshanka , Loaiza Manuel Andres Diaz , Bricker Jeremy D. , Reyns Johan , Luijendijk Arjen , Bamunawala Janaka 
Published: August 2024

AbstractCoastal flooding is projected to become more severe over the 21st century, necessitating effective adaptation, which in turn requires detailed local scale information that can only be provided by detailed numerical modelling. The current lack of information on flood protection measures and the high resource requirements of traditional hydrodynamic models presents concurrent challenges for detailed coastal flood modelling. But how comprehensive do the representation of coastal flood defences and hydrodynamic forcing need to be for adequately accurate modelling of coastal flooding? Here, we attempt to answer this question through strategic numerical simulations of the flooding that occurred at Île de Ré (France) during the Xynthia storm (2010), using the flexible mesh model Delft3D FM, with an over-land grid resolution of ~10 m. The model is validated against the flood extents observed in Île de Ré during Xynthia. We use three levels of detail in flood defence representation: a 5 m resolution DEM (i.e. base case DEM), the same 5 m DEM augmented with defences extracted from a 1 m DEM and Google Earth images (i.e. moderately augmented DEM), and the moderately augmented DEM further augmented with in-situ measurements of flood defences (i.e. highly augmented DEM). Simulations with these three DEMs are performed with and without flow-wave coupling (thus, 6 simulations in total), and results are analysed in terms of four flood indicators: maximum flood depths, flood extents, flood current velocities and flood damages. Our analysis indicates that both detailed representation of flood defences and the inclusion of waves have substantial effects on coastal flood modelling at local scale, with the former having a more pronounced effect. The return on the investment in implementing highly detailed in-situ measurements to represent flood defences appears to be low in this case, and adequately accurate results are obtained with a moderately augmented DEM. The combined effect of using the moderately augmented DEM together with waves, relative to using the base case DEM without waves, is to decrease maximum flood depths (up to 2 m), flood extent (by ~10%), maximum current velocities (in ~50% flooded area) and total flood damage (by ~27% or ~€ 188 million).
Heart of the future home: a multidimensional model of inclusive kitchen for older people in the UK
Authors: Xu Zhidiankui , Bao Yixi , Dong Hua , Wu Yu , Tang Guyue 
Published: August 2024

AbstractWith the development of smart technology and aging societies, the living and housing environments for older people are undergoing transformation. Designers must understand the changing capabilities, lifestyles, preferences, and inspirations of older people for their future homes, in which the kitchen is seen as the heart. To gain a deeper understanding of the requirements of older people in promoting healthier lifestyles and inclusive daily practices, the authors identified five key factors of kitchen design through a literature review, developing an initial model. Subsequently, a focus group was conducted in the UK to explore the perspectives and expectations of older people, where metaphors for future kitchens were collected, and further insights were used to refine the model. The refined model for a future-inclusive kitchen encompasses six dimensions: Environment/space, Technology/interaction, Emotion/affect, Health and safety, Human factors and well-being, and Sustainability. Through using metaphors, this study offers a multidimensional lens to investigate the future user experience of inclusive kitchens. The significance of this study lies in the originality of combining a literature review, and user study with design metaphors. A future-proof inclusive kitchen design model is proposed to provide guidance for future design directions of age-friendly environments.
Australian sonographers – sound policy for progress?
Authors: Kipping Luke 
Published: August 2024

What is known about the topic? Sonographers are well-known for their diagnostic roles in medical ultrasound though many have significant exposure to a range of interventional procedures. What does this paper add? Some sonographers are trained and qualified in these, including performing ultrasound-guided musculoskeletal injections. What are the implications for practitioners? A number of barriers exist for sonographers to use these skills to potential within the Australian healthcare system.
Canola (Brassica napus) enhances sodium chloride and sodium ion tolerance by maintaining ion homeostasis, higher antioxidant enzyme activity and photosynthetic capacity fluorescence parameters
Authors: Sun Lupeng , Cao Xiaoqiang , Du Juncan , Wang Yan , Zhang Fenghua 
Published: August 2024

Under salt stress, plants are forced to take up and accumulate large amounts of sodium (Na+) and chloride (Cl−). Although most studies have focused on the toxic effects of Na+ on plants, Cl− stress is also very important. This study aimed to clarify physiological mechanisms underpinning growth contrasts in canola varieties with different salt tolerance. In hydroponic experiments, 150 mM Na+, Cl− and NaCl were applied to salt-tolerant and sensitive canola varieties. Both NaCl and Na+ treatments inhibited seedling growth. NaCl caused the strongest damage to both canola varieties, and stress damage was more severe at high concentrations of Na+ than Cl−. High Cl− promoted the uptake of ions (potassium K+, calcium Ca2+) and induced antioxidant defence. Salt-tolerant varieties were able to mitigate ion toxicity by maintaining lower Na+ content in the root system for a short period of time, and elevating magnesium Mg2+ content, Mg2+/Na+ ratio, and antioxidant enzyme activity to improve photosynthetic capacity. They subsequently re-established new K+/Na+ and Ca2+/Na+ balances to improve their salt tolerance. High concentrations of Cl salts caused less damage to seedlings than NaCl and Na salts, and Cl− also had a positive role in inducing oxidative stress and responsive antioxidant defence in the short term.
Random expansive measures
Authors: Bilbao Rafael A , Oliveira Marlon , Santana Eduardo 
Published: August 2024

Abstract
The notion of expansivity and its generalizations (measure expansive, measure positively expansive, continuum-wise expansive, countably-expansive) are well known for deterministic systems and can be a useful property for studying significant type of behavior, such as chaotic one. This study aims to extend these notions into a random context and prove a relationship between relative positive entropy and random expansive measures and apply it to show that if a random dynamical system has positive relative topological entropy then the w-stable classes have zero measure for the conditional measures. We also prove that there exists a probability measure that is both invariant and expansive. Moreover, we obtain a relation between the notions of random expansive measures and random countably-expansive systems.