bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diffusion of eating behaviour in different social networks: A study protocol and preliminary reflections from a randomized controlled trial
Authors: Zorell Carolin V. , Kim Ansung , Neuman Nicklas 
Published: February 2023

Abstract

Background: A variety of public, governmental initiatives inform citizens about what is considered ‘healthy’, ‘climate friendly’, and in general ‘sustainable’ food. The ambition is to influence individual food choices. However, research suggests that, rather than public authorities, people are more likely to affect each other’s behaviour through social influence. The degree of influence though seems to depend on how people are connected and how similar they are to each other. To better understand the various dynamics occurring within social networks, researchers have experimented with controlled networks, manipulating factors like the number or kinds of ties. This increases the chances of identifying causality, yet also affects the external validity of the results since the design is very artificial. The present study tries to reduce artificiality by studying real-life behaviour and behaviour change, while including controlled treatments. The aim is to compare if and how behavioural change spreads more in groups exposed to different social network conditions and different source-types of information about food.
Method: The paper outlines a study protocol from a 4-month randomized controlled trial conducted with a random selection of adults living in Sweden from mid-October 2022 to early-February 2023. The trial was registered and reviewed by the Swedish Ethical Review Authority under ref. no. 2022-02646-01 (June 9, 2022). Using a mobile phone application, the study investigates if and how real-life, self-reported intakes of plant- and animal-based foods diffuse under certain social network conditions. The trial included two treatment groups and one control group exposed to (1) different social network conditions (with or without informational exposure), and (2) to different source-types of information about food (factual versus social).
Discussion: By investigating the roles of both social diffusion processes and certain structural conditions provided by public actors for sustainable consumption, the results contribute to discussions of how and by whom effective and efficient measures could be implemented to transform food habits.
Long-term tillage practices effects on soil organic matter humification and Humic acids structural changes in soil profiles typical of an arid region
Authors: Mahmoud Imen Ben , Mbarek Hadda Ben , SÁNCHEZ-BELLÓN Ángel , Medhioub Mounir , Moussa Mohamed , RIGANE Hafedh , gargouri Kamel 
Published: February 2023

Abstract

Soil organic matter (SOM) humification and changes in molecular structures of humic acids (HAs) induced by long term practices management over soil profile have been scarcely investigated in arid climates. This study aims to assess SOM humification, HAs molecular structures changes over soil profiles induced by long- term tillage practices under arid climate in south-eastern Tunisia. Two experimental fields were studied: cultivated soil with olive tree and tilled for long term (CT); uncultivated without any practices with native vegetation (NT). Soil samples were collected at different depths from (CT) and (NT) profiles to determine chemical properties. Humic acids were isolated and studied by measuring UV-visible ratios (E465/665, E280/664 and E472/664) and fluorescence spectroscopy analysis. Results showed that long-term tillage practices reduced the SOM amount, aromatic condensation, molecular size and humification degree in surface layer of CT confirmed by the decrease in the emission fluorescence areas and UV- visible ratios. Inversely, in deep layers, results showed a greatly humified organic matter and aromatic structures condensation in CT. Long-term tillage leads to a significant decrease in aromatic condensation and OM humification degree in surface layers. Soil under no-tillage retains their aromatic chemical structures and increases OM humification degree. No-till System is the best alternative to maintain OM chemical structures and restore soil quality underlong- term practices management.
Workpiece Surface Quality Improvement through Vibration Active Control in Precision Milling Process
Authors: Guo Miaoxian , Xia Wanliang , Liu Jin , Jiang Xiaohui , Wu Chongjun 
Published: February 2023

Abstract
The tool-workpiece vibration in the precision milling process plays a pivotal role in influencing the surface quality. To solve the machining problem coming with the process vibration, the active vibration control model as well as the corresponding platform are developed, and the active vibration control algorithms are applied to reduce the relative vibrations and improve the surface quality. Firstly, the milling vibration reduction and surface quality improvement are modelled based on the active control algorithms and the system dynamic characteristics. Then, applying the different algorithm control strategies, such as PID, Fuzzy PID, BP neural network and BP neural network PID control, the control effect is simulated and analyzed. Finally, the platform is experimentally set up to verify the reliability of the system, the frequency vibration control and the finish surface roughness improve efficiency of different active control methods are compared, providing optimal vibration control methods for precision milling.
A novel Patient-Derived 3D Model Recapitulates Mantle Cell Lymphoma Lymph Node Signaling, Immune Profile and in vivo Ibrutinib Responses
Authors: ARAUJO-AYALA FERRAN , DOBAÑO-LOPEZ CELIA , Valero Juan , Nadeu Ferran , GAVA FABIEN , FARIA CARLA , NORLUND MARINE , MORIN RENAUD , BERNES-LASSERRE PASCALE , SERRAT NEUS , PLAYA-ALBINYANA HERIBERT , GIMENEZ RUBEN , Campo Elias , LAGARDE JEAN-MICHEL , López-Guillermo Armando , Giné Eva , Colomer Dolors , Bezombes Christine , PEREZ-GALAN PATRICIA 
Published: February 2023

AbstractMantle cell lymphoma (MCL), a rare and aggressive B cell non-Hodgkin lymphoma, mainly develops in the lymph node (LN) and creates a protective and immunosuppressive niche that facilitates tumor survival, proliferation and chemoresistance. To capture disease heterogeneity and tumor microenvironment (TME) cues, we have developed the first patient-derived MCL spheroids (MCL-PDLS) that recapitulate tumor oncogenic pathways and immune microenvironment in a multiplexed system that allows easy drug screening, including immunotherapies. MCL spheroids, integrated by tumor B cells, monocytes and autologous T cells self-organize in disc-shaped structures, where B and T cells maintain viability and proliferate, and monocytes differentiate into M2-like macrophages. RNA-seq analysis demonstrated that tumor cells recapitulate hallmarks of MCL-LN (proliferation, NF-kB and BCR), with T cells exhibiting an exhaustion profile (PD1, TIM-3 and TIGIT). MCL-PDLS reproducesin vivoresponses to ibrutinib and demonstrates that combination of ibrutinib with nivolumab (anti-PD1) may be effective in ibrutinib-resistant cases by engaging an immune response with increased interferon gamma and granzyme B release. In conclusion, MCL-PDLS recapitulates specific MCL-LN features andin vivoresponses to ibrutinib, representing a robust tool to study MCL interaction with the immune TME and to perform drug screening in a patient-derived system, advancing towards personalized therapeutic approaches.
On characterization by Gruenberg--Kegel graph of finite simple exceptional groups of Lie type
Authors: Maslova Natalia , Panshin Viktor , Staroletov Alexey 
Published: February 2023

Abstract
The Gruenberg--Kegel graph $\Gamma(G)$ of a finite group $G$ is the graph whose vertex set is the set of prime divisors of $|G|$ and in which two distinct vertices $r$ and $s$ are adjacent if and only if there exists an element of order $rs$ in $G$.
A finite group $G$ is called {\it almost recognizable} (by Gruenberg--Kegel graph) ifthere is only finite number of pairwise non-isomorphic finite groups havingGruenberg--Kegel graph as $G$. If $G$ is not almost recognizable, then it is called {\it unrecognizable}(by Gruenberg--Kegel graph).
Recently P.~J.~Cameron and the first author have proved that if a finite group is almost recognizable, then the group is almost simple. Thus, the question of which almost simple groups (in particular, finite simple groups) are almost recognizable is of prime interest. We prove that every finite simple exceptional group of Lie type,which is isomorphic to neither ${^2}B_2(2^{2n+1})$ with $n\geq1$ nor $G_2(3)$ and whose Gruenberg--Kegel graph has at least three connected components, is almost recognizable. Moreover, groups $ {^2}B_2(2^{2n+1})$, where $n\geq1$, and $G_2(3)$ are unrecognizable.
The Reading Everyday Emotion Database (REED): A set of audio-visual recordings of emotions in music and language
Authors: Ong Jia Hoong , Leung Florence Yik Nam , Liu Fang 
Published: February 2023

Abstract

Most audio-visual (AV) emotion databasesconsist of clips that do not reflect real-life emotion processing (e.g., professional actors in bright studio-like environment), contain only spoken clips, and none have sung clips that express complex emotions. Here, we introduce a new AV database, the Reading Everyday Emotion Database (REED), which directly addresses those gaps. We recorded the faces of everyday adults with a diverse range of acting experience expressing 13 emotions—neutral, the six basic emotions (angry, disgusted, fearful, happy, sad, surprised), and six complex emotions (embarrassed, hopeful, jealous, proud, sarcastic, stressed)—in two auditory domains (spoken and sung) using everyday recording devices (e.g., laptops, mobile phones, etc.). The recordings were validated by an independent group of raters. We found that: intensity ratings of the recordings were positively associated with recognition accuracy; and the basic emotions, as well as the Neutral and Sarcastic emotions, were recognised more accurately than the other complex emotions. Emotion recognition accuracy also differed by utterance. Exploratory analysis revealed that recordings of those with drama experience were better recognised than those without. Overall, this database will benefit those who need AV clips with natural variations in both emotion expressions and recording environment.
Motor impairment and ohrqol of children and adolescents with cerebral palsy with presence of dental caries
Authors: Akhter Rahena , Muhit Mohammad , Badawi Nadia , Khandaker Gulam 
Published: February 2023

AbstractBackground To investigate the association between motor impairment and oral health-related quality of life (OHRQoL) of children and adolescents with cerebral palsy (CP) suffering from dental caries in a low-resource setting. Methods A total of 90 children and adolescents with CP of 2–17 years old, were selected from the Bangladesh cerebral palsy register (BCPR) for the study. The decayed, missing and filled teeth (dmft/DMFT) index was used to measure caries experience. Motor impairment data was extracted from the BCPR using the Gross motor function classification system (GMFCS). The Child perceptions questionnaire (CPQ) and Family impact scale (FIS) were used to assess the impact on oral health–related quality of life (OHRQoL). Statistical analysis was carried out using SPSS version 24.0. Results: Dental caries was observed among 55.6% of the CP participants. 76% children and adolescents with presence of dental caries classified GMFCS I-III and 26% were classified as GMFCS IV-V. Motor impairment exerted a significant impact on OHRQoL in both the CPQ and FIS. After age and gender adjustment, binary logistic regression analysis showed that motor impairment was significantly associated among CP children and adolescents with presence of dental caries, especially those who had difficulty in eating, drinking, or chewing firm foods (rate ratio 12.7; p = 0.02), avoid smiling (rate ratio 6.8; p = 0.03) and those who had less time for the family (rate ratio: 5.0; p = 0.02). Conclusions Motor impairment is associated with a negative impact on OHRQoL in terms of perceptions of both children and adolescents with CP with presence of dental caries in a low resource setting as well as their parents/caregivers. Oral health promotion programs should be implemented with a focus on adaptive care and education for children and adolescents with CP with dental caries and their families with a higher degree of motor impairment in low-resource setting.
Fe-Doped Nano-Cobalt Oxide Green Catalysts for Sulfoxidation and Photo Degradation
Authors: Soni Atul , Maru Minaxi S. , Patel Parth , Behal Jagriti , Kaushal Deepika , Kumar Manish , Thakur Maheshwar , Kumar Sunil 
Published: February 2023

Abstract
Nanoparticles (NPs) of cobalt oxide and Fe/Ni-doped cobalt oxide has been prepared by the co-precipitation method. XPS analysis established the chemical nature of these NPs in terms of atomic as well as molecular formulations and EDAX analysis complemented the XPS results displaying the presence of Fe and Ni atoms in the cobalt oxide NPs revealing successful doping of Fe and Ni in cobalt oxide NPs. The impact of Fe and Ni-doping on the structure and physico-chemical properties of cobalt oxide NPs was also established by XPS analysis. The presence of metal-oxide bonds was further established by FTIR (Fourier transform infrared spectroscopy) and HRTEM (High resolution transmission electron microscopy) analysis confirmed the formation of NPs. Among bare and Fe/Ni-doped cobalt oxide NPs, Fe-doped cobalt oxide NPs showed maximum photocatalytic activity against methylene blue as well as Fe-doped cobalt oxide NPs also acted as an excellent catalyst for the sulfoxidation of sulphides with 99 % conversion, and 95 % selectivity under green reaction conditions utilising water as a solvent.
Repurposing of clinically proven bioactive natural compounds for targeted treatment of Alzheimer’s disease using molecular docking approach
Authors: LoganathbabuThasma Vasanth Kanth , Raha Archi , Murali Vijay , Yuvatha Natesan , Kumaran Kasinathan , Kirubakaran Rangasamy , ArulJothi KN 
Published: February 2023

Abstract
Neurodegenerative diseases like Alzheimer’s having become a growing concern as it is difficult to cure. Tau protein is found to be playing a major role in Alzheimer’s disease and the majority of drugs that are currently on the market are not only prohibitively expensive but also come packaged with side effects that the body cannot tolerate. Repurposing existing medications is a successful and optimistic strategy that offers reduced risk and increased possibility. We aim to retrieve the existing drugs and analyze them using in-silico techniques. We have retrieved the natural products from the Selleckchem natural product library and the ability of the drug to cross Blood Brain Barrier (BBB), and ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) properties were examined using SwissADME. The structure of Tau protein (2MZ7) was then retrieved from PDB, and molecular docking of the compounds was performed using the PyRx-Virtual Screening Tool. Initially, 92 compounds passed the ADMET screening criteria out of which the compound Ligustroflavone was found to have the most favourable binding affinity without violating Lipinski’s rule of 5 of the compounds in the library.
Probabilistic seismic hazard assessment framework for Uganda:
A stochastic modelling approach
Authors: OLENG MORRIS , Ozdemir Zuhal , Pilakoutas Kypros 
Published: February 2023

Abstract
Uganda lies between the eastern and western arms of the East African Rift System (EARS), the largest seismically active rift above sea level. With increasing population, urbanisation and rapid construction, seismic risk in the country is escalating fast and is compounded by the high vulnerability of the building stock and inadequate disaster prevention and mitigation strategies. Hence, there is an urgent need to assess Uganda’s resilience against seismic risks. This paper presents a Monte Carlo (MC) based probabilistic seismic hazard model for Uganda, as the first step towards the development of a seismic risk and resilience assessment framework for the country. In addition to fault segment data, earthquake catalogues are compiled for the period between 1900 and 2022 to estimate recurrence parameters for source zones in the area of interest. Area source zones incorporating focal mechanisms are used to stochastically model a national hazard framework for Uganda. A logic tree approach is applied to implement four attenuation models used to predict ground motion in both stable continental and active shallow crust geological formations. Considering geological conditions, mean hazard curves, uniform hazard spectra and disaggregation plots for major Ugandan cities are derived in addition to hazard maps for the country. The findings are largely consistent with previous regional studies and confirm that western Uganda is exposed to the highest level of seismicity. The model presented herein can be used to kick-start the update and continuous improvement of Uganda Seismic Design Code and the National Policy for Disaster Preparedness and Management.
Eco-friendly Carboxymethyl Cellulose Hydrogels with Nano-graphene Oxide Incorporated for Energy and Biomedical Applications
Authors: Rodrigues Jordane S. , Savino Rafael Parada , Santos Renata Tamires , Santos Alexia Rubia Guedes dos , Bernardes Micheli Souza , Madureira Jhonatan do Amparo , Borsagli Fernanda G. L. Medeiros 
Published: February 2023

Abstract
Nowadays, the search to develop sustainable materials using materials from renewable sources to multifunctional applications is a great challenge. In this context, the present research evaluated producing new carboxymethyl cellulose hydrogels with nano-graphene oxide incorporated into potential applications in biomedical and energy areas. Spectroscopies analysis (FTIR, Raman, UV Vis), X-ray diffraction, and morphological (SEM, TEM, BET) were used to characterize these hydrogels. In addition, quantum dots based on cobalt sulfide were made to evaluate the energy application. Moreover, biocompatibility was tested using an MTT assay. The results showed that the nGO changes the structure of hydrogels and their crystalline structure, mainly because of heat treatment and the donation of hydroxyl groups by CMC. In addition, the chemical groups of hydrogels suffer red and blue shifts by the nGO presence. Moreover, the nGO was homogeneously spread into the hydrogel matrix. Furthermore, the MTT assay was performed to analyze the cytotoxicity of hydrogels with nGO (over 90%). In addition, the cell solar production using hydrogels and cobalt quantum dots (size of 3 nm) provided a potential application of these materials to renewable energy sources.
Three-dimensional analytical model for residual stress in the weld of thick plates by friction stir welding
Authors: Yu Haidong , Gao Chang , Yuan Ke , Chen Wei 
Published: February 2023

Abstract
The material flow in the welds is obvious different in the thickness direction for thick plates jointed by friction stir welding (FSW), which results in the non-uniform plastic strain and residual stress in the welds. The non-uniform residual stress in the weld is difficult to be predicted efficiently and accurately by using exist experimental and numerical methods. In this paper, an analytical method by using the material flow in the welding process is proposed to solve the non-uniform residual stress of thick plates. The streamline model for the material flow is established in terms of the relationship between stream function and velocity fields in the weld. The cumulative plastic strain is computed by integrating the strain rate along each streamline. The residual stress field is obtained based on characteristic strain theories. Experiments of FSW are conducted for thick plates of aluminum alloys 2024-T3. The residual stresses in the welded region are measured by both X-ray diffraction and the contour method and the accuracy of the analytical model is verified. The analytical and experimental results show that residual stresses present as an asymmetric distribution with a conventional “M” shape. The flow mechanism of material and residual stress in different regions of thick plates by FSW are revealed. The proposed model may be used for the prediction and analysis of the non-uniform distribution of residual stress in thick plates jointed by FSW.
Social Sustainability of Micro, Small, and Medium Enterprises: The Case of Makassar City, Indonesia
Authors: Ansar Muhammad Chaeroel , Tsusaka Takuji W. , Nitivattananon Vilas , Rusli Andi Muhammad 
Published: February 2023

Abstract

The social dimension of sustainability of urban MSMEs (micro, small, and medium enterprises) is understudied compared to the economic and environmental dimensions. This study assesses social sustainability of MSMEs in Makassar city, Indonesia and its relations with economic and environmental sustainability using primary data collected from 300 MSME owners and managers. Empirical analysis employs descriptive statistics and the regression method. Reasonably high levels of social sustainability of MSMEs were found in Makassar, and significant relation with economic and environmental sustainability was identified. In terms of social justice and equity (SJE), more than 80% of the respondents gave positive evaluation toward this dimension, while just under 10% gave negative perception. Likewise, the subdimensions of social capital (SCA) and social cohesion (SCO) received mostly positive responses (77% and 86%, respectively). The economic dimension was positively related with SJE and SCA and negatively related with SCO. In contrast, the environmental dimension had a negative relation with SJE and a positive relation with SCA. The findings suggest that devoting greater attention to social sustainability may lead to enhanced economic performance and improved environmental care. The study contributes to evidence of application of the social principle to economic development and environmental care practices.
Dimensionality Selection for Hyperbolic Embeddings using Decomposed Normalized Maximum Likelihood Code-Length
Authors: Yuki Ryo , Ike Yuichi , Yamanishi Kenji 
Published: February 2023

Abstract
Graph embedding methods are effective techniques for representing nodes and their relations in a continuous space. Specifically, the hyperbolic space is more effective than the Euclidean space for embedding graphs with tree-like structures. Thus it is critical how to select the best dimensionality for the hyperbolic space in which a graph is embedded. This is because we cannot distinguish nodes well with dimensionality that is considerably low, whereas the embedded relations are affected by irregularities in data with excessively high dimensionality. We consider this problem from the viewpoint of statistical model selection for latent variable models. Thereafter, we propose a novel methodology for dimensionality selection based on the minimum description length principle. We aim to introduce a latent variable modeling of hyperbolic embeddings and apply the decomposed normalized maximum likelihood code-length to latent variable model selection. We empirically demonstrated the effectiveness of our method using both synthetic and real datasets.
Using Image Processing Technology for Detection of Red Grape Fruits in natural conditions
Authors: Nazari Akbar , Mohammadzamani Davood , Javidan Seyed Mohamad 
Published: February 2023

Abstract
With the increase of greenhouse cultivation of grapes in order to reduce the labor cost, the mechanization of harvesting operations is one of the important issues in recent years. In this research, an image processing algorithm was designed so that the robot on the tree could recognize the position of red grapes. In order to design the algorithms, a total of 500 product clusters were taken in natural conditions. The color information of each image component containing clusters from the red grape background (leaf, sky and ground) was extracted and analyzed. RGB color space was used to identify clusters of red grapes. The results showed that 98% of the design area of the algorithm is able to extract grape clusters in a photo.