bluuebunny/crossref_metadata_2025_split huggingface dataset:
3D Biomimetic Tumor Microenvironment of HCC to Visualize the Intercellular Crosstalk between Hepatocytes, Hepatic stellate cells, and cancer cells
Authors: Liu Chun , Liu Yaolin , Yang Xiaoqian , Jiang Dong , Hu Rongcheng , Huang Fangli , Peng Zhenwei 
Published: July 2022

Abstract
While a significant number of studies have focused on elucidating the functioning mechanisms of the Hepatocellular carcinoma (HCC) microenvironment, the intercellular crosstalk between multiple cells in the tumor microenvironment remains unclear. Here we co-cultured spheroids of HCC cells, hepatic stellate cells (HSCs), and hepatocytes in a biomimetic composite hydrogel to construct a 3D model of the HCC microenvironment in vitro. The model reproduced the major cellular components of early HCC in a biomimetic 3D microenvironment, realizing the visualization of the cellular interplay between cells and the microenvironment. Using this model, we showed the HSCs were activated when co-cultured with HCC cells and deposed collagen to remodel the microenvironment, which in turn triggered higher EMT levels in HCC cells. The hepatocytes also responded to the existence of HCC cells and the activation of HSCs in co-culture, showing the downregulated expression level of ALB, AFP, and HNF4A. This model recapitulated the activation of HSCs in the HCC microenvironment and enabled visualization of multi-cellular interplay in 3D, providing a biomimetic platform to investigate mechanisms of HCC and related hepatic fibrosis.
Ab-Initio Characterization of Iron Embedded Nitrogen Doped Graphene as a Toxic Gas Sensor
Authors: Nosheen Uzma , Abdul Jalil , Ilyas Syed Zafar , Ahmed Sarfraz , Illahi Ahsan , Rafiq Muhammad Aftab 
Published: July 2022

Abstract
Special binding sites in graphene are beneficial for near surface interaction. These binding sites are provided by single atom catalyst results in the modification of electronic characteristics of graphene and its derivatives which largely extend their application as gas sensors. In present work, transition metal atom iron supported on nitrogen doped graphene (FeN/G) was analyzed by density functional theory. The effect of gas adsorption on the structural and electronic properties were investigated with adsorption energy, charge transfer, work function and band structure. The results indicate chemisorption nature of CO, NO and NO2 with strong adsorption energies of -1.641 eV, -2.081 eV and − 1.345 eV. They induced spin polarization when adsorbed on the graphene support which drastically modulate the electronic characteristics of the substrate. While other gas molecules (CO2, H2S and NH3) with adsorption energies of -0.154 eV, -0.371 eV and − 0.46 eV were weakly physisorbed and electron donor in nature. SO2 exhibited weak chemisorption at a value of -0.62 eV. Nitrogen containing gas molecules of NO, NO2 and NH3 showed band gap shortening with increasing conductivity as compared to bare iron embedded graphene supported structure. On the basis of investigation, the structure has potential application for detection of NO and NO2.
YM155 and chrysin cooperatively suppress survivin expression in SMARCB1/INI1-deficient tumor cells
Authors: Yoshino Yuki , Goto Hiroaki , Ito Mieko , Tsurusaki Yoshinori , Takita Junko , Hayashi Yasuhide , Yanagimachi Masakatsu 
Published: July 2022

Abstract
SMARCB1/INI1 deficiency is seen in several malignant tumors including malignant rhabdoid tumor (MRT), a highly aggressive pediatric malignancy. Loss of SMARCB1/INI1 function alters diverse oncogenic cellular signals, making it difficult to discover effective targeting therapy. By utilizing an in vitro drug screening system, effective therapeutic agents against SMARCB1/INI1-deficient tumors were explored in this study.In the in vitro drug sensitivity test, 80 agents with various actions were screened for their cytotoxicity in a panel of five SMARCB1/INI1-deficient tumor cell lines. The combination effect was screened based on the Bliss independent model. The growth inhibitory effect was determined in both the conventional two-dimensional culture and the collagen-embedded three-dimensional culture system. Survivin expression after agent exposure was determined by Western blot analysis.All five cell lines were found to be sensitive to YM155, a selective survivin inhibitor. In the drug combination screening, YM155 showed additive to synergistic effects with various agents including chrysin. Chrysin enhanced YM155-induced apoptosis, but not mitochondrial depolarization upon exposure of SMARCB1/INI1-deficient tumor cells to the two agents for 6 hours. YM155 and chrysin synergistically suppressed survivin expression, especially in TTN45 cells in which such suppression was observed as early as 6 hours after exposure to the two agents.Survivin is suggested to be a therapeutic target in MRT and other SMARCB1/INI1-deficient tumors. Chrysin, a flavone that is widely distributed in plants, cooperatively suppressed survivin expression and enhanced the cytotoxicity of YM155.
Measurement of Cervical Neuronal Activity during Stress Challenge Using Novel Flexible Adhesive Surface Electrodes
Authors: Bu Yifeng , Kurniawa Jonas F. , Prince Jacob , Nguyen Andrew K. L. , Ho Brandon , Sit Nathan L. J. , Pham Timothy , Wu Vincent M. , Tjhia Boris , Shin Andrew J. , Wu Tsung-Chin , Tu Xin M. , Rao Ramesh , Coleman Todd P. , Lerman Imanuel 
Published: July 2022

Abstract
This study introduces a flexible, adhesive-integrated electrode array that was developed to enable non-invasive monitoring of cervical nerve activity. The device uses silver-silver chloride as the electrode material of choice and combines it with a novel electrode array consisting of a customized biopotential data acquisition unit and integrated graphical user interface (GUI) for visualization of real-time monitoring. Preliminary testing demonstrated this novel electrode design can achieve a high signal to noise ratio during cervical neural recordings. To demonstrate the capability of the surface electrodes to detect changes in cervical neuronal activity, the cold-pressor test (CPT) and a timed respiratory challenge were employed as stressors to the autonomic nervous system. This sensor system recording, a new novel technique, was termed Cervical Electroneurography (CEN). By applying a custom spike sorting algorithm to the novel electrode measurements, neural activity was classified in two ways: 1) pre-to-post CPT, and 2) during a timed respiratory challenge. Unique to this work: 1) rostral to caudal channel position-specific (cephalad to caudal) firing patterns and 2) cross challenge biotype-specific change in average CEN firing, were observed with both CPT and the timed respiratory challenge. Future work is planned to develop an ambulatory CEN recording device that could provide immediate notification of autonomic nervous system activity changes that might indicate autonomic dysregulation in healthy subjects and clinical disease states.
DFT Study of Alanine Interactions with Carbon Nanotubes
Authors: LONE BALIRAM 
Published: July 2022

Abstract
The interactions of biomolecules with nanomaterials play crucial role to design new material in wide range of applications for practical use. The physical adsorption mechanism of Alanine (Ala) molecules on surface of pristine semiconducting, zigzag single walled carbon nanotubes (8,0) (SWNTs) were quantum chemically computed by applying density functional theory (DFT). Thermodynamical extracted data indicates favorable binding of L-alanine-SWNT complex system. It depends on orientation of L-alanine molecules i.e., the weak binding is observed. We calculated various parameters including adsorption energy, HOMO-LUMO gap and density of states (DOS) on surface of SWNT (8,0), which absorb the amino acids L-alanine with release of energy owing to its CH3, -COOH and -NH2 functional groups. There are no bonded interactions between Ala-SWNT (8,0) biomolecular complex system. Our results are useful for targeted drug delivery of L-Alanine in biomedical applications, besides to this, the biosensors[1] can be used to check concentration level of alanine in patients to avoid delay in treatment as well.
Carbon Quantum Dots Nanoprobes from Magnolia Grandiflora for Nickel Ion and Latent Fingerprint Detection
Authors: Nugroho David , Oh Won-Chun , Chanthai Saksit , Benchawattananon Rachadaporn 
Published: July 2022

Abstract
In this study, a natural resource—carbon dots—was used to synthesize green carbon quantum dots (CQDs) with high fluorescence. Specifically, the bottom-up method was used to prepare CQDs from Magnolia Grandiflora at various times (14, 16, 18, and 20 min) and under various conditions (900 – 1400 watts). Hydrogen Sulfide (H2S) was used to synthesize S doped-CQDs by adding in the optimum condition. The synthesized S doped-CQDs had a uniform size according to TEM analysis, along with an amorphous structure, water solubility containing hydroxyl and carboxyl groups, excitation light-dependent characteristics, and high photostability. In this research, S-doped-CQDs could detect Ni2+ in a rapid, sensitive, and highly selective manner with a detection limit of 0.5 μM – 10 μM by using Uv Vis methods. Moreover, in this study, S-doped-CQDs have been used in latent fingerprint detection, and it is shown more clearly under Uv-Lamp and has a bright blue fluorescence. This study used S doped-CQDs derived from natural resources as high-performance fluorescent probes for the detection of Ni2+ and latent fingerprints on nonporous surface material
Evaluation of Oclusal Force Parameters by T-scan Iii With Fixed Orthodontic Treatment; a Prospective Clinical Study
Authors: sadry sanaz , Giray Bilgin 
Published: July 2022

Abstract
Objective: The aim of this study is to examine the relationship between occlusal factors and temporomandibular joint (TMJ).Materials and Methods:In our study, (43) individuals who had fixed orthodontic treatment and (20) individuals who did not need treatment at XXX University Faculty of Dentistry Department of Orthodontics were included. Evaluations were made at the beginning of treatment (T0) and at 6 months (T1). T-Scan® computerized Occlusion Analyzer was used to evaluate the number of contact points, occlusal force parameters during centric occlusion and lateral movements, and occlusion and disclusion times. Differences between groups were evaluated with Mann-Whitney or independent t test, and within-group differences were evaluated with Wilcoxon sign test or paired t test, depending on whether the data showed normal distribution or not.Result: At the beginning of orthodontic treatment, there was no statistical difference in the variables within the group and between the groups (P> 0.05). As a result of the comparison between the beginning of treatment (T0) and the 6th month (T1), no significant difference was found between the parameters of the anterior/posterior occlusal force distribution of the right-left quadrant and the force distribution of the working and non-working sides in lateral movements, and the occlusion and disclusion time parameters (P> 0.05). . Conclusion: According to our research, T-Scan is one of the best devices for early detection of TMJ diseases, especially for people undergoing orthodontic treatment. T-Scan offers fast, non-invasive and repeatable occlusion recording.
The subcortical and neurochemical organization of the ventral and dorsal attention networks
Authors: de Schotten Michel Thiebaut , Alves Pedro Nascimento , Corbetta Maurizio , Forkel Stephanie 
Published: July 2022

Abstract
Attention is a core cognitive function that filters and selects behaviourally relevant information in the environment. The cortical mapping of attentional systems identified two segregated networks that mediate stimulus-driven and goal-driven processes, the Ventral and the Dorsal Attention Networks (VAN, DAN). Deep brain electrophysiological recordings, behavioural data from phylogenetic distant species and observations from human brain pathologies challenge purely corticocentric models. Here, we used advanced methods of functional alignment applied to resting-state functional connectivity analyses to map the subcortical architecture of the Ventral and the Dorsal Attention Networks. Our investigations revealed the involvement of the pulvinar, the superior colliculi, the head of caudate nuclei, and a cluster of brainstem nuclei relevant for both networks. These nuclei are densely connected structural network hubs as revealed by diffusion-weighted imaging tractography and establish interrelations with the acetylcholine nicotinic receptor as well as dopamine and serotonin transporters systems. This convergence of functional, structural, and neurochemical evidence provides a novel framework to comprehensively understand the neural basis of attention across different species and brain diseases.
A novel N7-methylguanosine(m7G) methylation-associated miRNA signature for prognostic value in patient with carcinoma of colon
Authors: Wang Chongyang , Liu Shouji 
Published: July 2022

Abstract
Background:m7G methylation-associated genes were selected as the main research perspectives in this study, establishing a novel m7G methylation-associated miRNA risk signature for prognostic value in patient with carcinoma of colon. Methods:We identified two genes that are m7G methylation-associated and have been validated by searching in the PubMed database.The m7G methylation-associated miRNAs were screened via estimating the differentially expressed of miRNAs in 457 carcinoma of colon patient samples and 8 matched samples from a database named The Cancer Genome Atlas (TCGA). SelectingSingle-factor Cox analyses as well as multi-factor Cox analyses constructed the risk signature of 12 m7G methylation-associated miRNAs.Nomograms was adopted to predict the potential impact of m7G methylation-associated miRNAs on occurrence, development.The functions of DEGs that deserving to be noticed were classified and analyzed by functional enrichment analysis.Disease ontology analysis was used to explore the potential connection various diseases and carcinoma of colon.The outcome of associated analysis about immunocyte or immunological functioning revealed that what role does immunocyte or immunological functioning play in the development of carcinoma of colon.Finally, the relationship between high or low expression of significantly DEGs and immune cells and immune function was analyzed. Results:The results of nomogram analysis were as follows that the risk signature might predict the prognosis and the overall cumulative probability of survival（1-,3-,5-year） effectively about patients with carcinoma of colon. Through the analysis of Kaplan-Meier curve outcomes, we can draw a conclusion that depressedly expressed of hsa-miR-21-3p might be significantly relevant with decreased survival of patients.What the analyses of Gene ontology (GO) , Kyoto Encyclopedia of Genes and Genomes (KEGG) and Disease ontology（DO）,taking advantage of the common DEGs about risk score and immune score,demonstrated that these common DEGs play a partial role in the occurrence and development of tumors.Through disease ontology analysis,we found that eating disorder might be associated with carcinoma of colon. Conclusions: m7G methylation-associated miRNAs were related to the prognosis of patients with carcinoma of colon. A risk signature established based on these miRNAs could effectively predict the survival rate of later period in patients with carcinoma of colon.According to the displayed outcom from Our research that m7G methylation-associated miRNA regulators can serve as reliable prognostic biomarkers of carcinoma of colon, which might Greater probably be applyed as potential targets of therapeutic strategies.
Hedgerows increase diversity and modifies composition of arbuscular mycorrhizal fungi in Mediterranean agricultural landscapes
Authors: Fradejas Guillermo González , de León David García , Vasar Martti , Koorem Kadri , Zobel Martin , Öpik Maarja , Moora Mari , Benayas José María Rey 
Published: July 2022

Abstract
Sustainable agriculture is essential to address global challenges such as climate change and biodiversity loss. Hedgerows enhance aboveground biodiversity and provide ecosystem services, but little is known about their impact on soil biota. Arbuscular mycorrhizal (AM) fungi are one of the key components of belowground biodiversity. We compared the diversity and composition of AM fungal communities in four farmland sites located in Central Spain, where 120 samples in total were collected to assess soil physical and chemical properties and analyse AM fungal metabarcode data. We compared the richness (number of AM fungal taxa), abundance (number of sequences), taxonomic, functional, and phylogenetic diversity, and composition of AM fungal communities across three farmland habitat types, namely hedgerows, woody crops (olive groves and vineyard) and an herbaceous (barley) crop. Our results showed positive effects of hedgerows on most diversity metrics. Many AM fungal taxa were shared among the three farmland habitat types. Planting hedgerows increased AM fungal richness (F2,112 = 23.21, P < 0.01) and alpha diversity (F2,112= 11.62, P < 0.01), especially in herbaceous crops. Hedgerows and woody crops harboured more AM fungal sequences than herbaceous crops (F2,112 = 15.10, P < 0.01). Hedgerows exhibited higher proportions of AM fungi with non-ruderal life-history strategies (F2,112 = 11.08, P < 0.01). AM fungi communities were more similar in hedgerows and woody crops (F2,112 = 3.93, P < 0.01) than in hedgerows and herbaceous crops due to lack of tillage in hedgerows and woody crops. Unexpectedly, planting hedgerows reduced phylogenetic diversity, which might be related to random processes shaping communities in crops. Overall, the observed results hint that planting hedgerows contributes to restoring belowground diversity. Thus, European farmers should plant more hedgerows to attain the goals of the EU Biodiversity Strategy for 2030.
Seasonal Chemical Screening and Biological Activity of Undaria pinnatifida (Harvey) Suringar (Alariaceae, Laminariales, Phaeophyta), collected at Golfo San Jorge (Patagonia Argentina)
Authors: Quezada Diana Paula , FLORES MARIA LUJAN , Córdoba Osvaldo León 
Published: July 2022

Abstract
Although the alga Undaria pinnatifida is able to synthesize a great variety of bioactive metabolites of pharmaceutical and other industrial interest, this species has not yet been comprehensively studied in the Golfo San Jorge region (Chubut, Patagonia Argentina). Thus, in the present study, Undaria pinnatifida was collected at Golfo San Jorge, seasonally extracted and the chemical profile and biological activity evaluated by different techniques. The results showed that Undaria pinnatifida fundamentally biosynthesizes phenolic acids (caffeic and ferulic acids), flavonols and flavanol glycosides (quercetin, cacticin, quercitrina), carbohydrates, tannins, lipids, saponins, quinones, steroids, triterpenes and cardiotonic glycosides (of the k-strophanthoside, sciloriside, adynerin and convalatoxin types), with differences according to the season. The extracts also showed moderate antioxidant activity by the DPPH method and outstanding cytotoxic activity by the Artemia salina test. Based on the results obtained, Undaria pinnatifida can be considered as a potential source of bioactive molecules. Variations in the metabolites were observed throughout the seasons, this shows the importance of conducting seasonal studies to determine the best season for collection based on the metabolites to be studied.
The effect of cognitive workload on decision authority assignment in human-robot collaboration
Authors: Karakikes Michail , Nathanael Dimitris 
Published: July 2022

Abstract
Human-robot collaboration in dynamic industrial environments warrants robot flexibility and shifting between tasks. Adaptive robot behavior unavoidably carries decision-making needs regarding task allocation and scheduling. Such decisions can be made either by the human team members or autonomously, by the robot’s controlling algorithm. Human authority may help preserve situational awareness but increases mental demands due to increased responsibilities. Conversely, granting authority to the robot can offload the operator, at the cost of reduced intervention readiness. This paper aims to investigate the question of decision authority assignment in a human-robot team, in terms of performance, perceived workload and subjective preference. We hypothesized that the answer is influenced by the cognitive workload imposed on the human operator by the work process. An experiment with 21 participants was conducted, in which decision authority and induced workload through a secondary task were varied between trials. Results confirmed that operators can support the robot better when decision authority is allocated according to their workload. However, operator decision authority (a) may cause inferior performance at any secondary tasks performed in parallel with robot supervision and (b) increases perceived workload. Subjective preference was found to be evenly divided between the two levels of decision authority, and unaffected by task difficulty. In brief, if human-robot team performance is a priority, humans should be granted decision authority when their overall workload allows it. In high workload conditions, system decision-making algorithms should be developed. Nonetheless, process designers should be mindful of the interpersonal differences between operators who are destined to collaborate with robots.
Ensemble Neural Representation Networks
Authors: Kadarvish Milad Soltany , Mojtahedi Hesam , Zarch Hossein Entezari , Kazerouni Amirhossein , Morsali Alireza , Abtahi Azra , Marvasti Farokh 
Published: July 2022

Abstract
Implicit Neural Representation (INR) has recently attracted considerable attention for continuous characterization of various types of signals. The existing INR techniques require lengthy training processes and high-performance computing. In this letter, we propose a novel ensemble architecture for INR that resolves the aforementioned problems. In this architecture, the representation task is divided into several sub-tasks done by independent sub-networks. We show that the performance of the proposed ensemble INR architecture may decrease if the dimensions of sub-networks increase. Consequently, it is vital to suggest an optimization algorithm to find suitable structures for the ensemble networks, which is also done in this paper. According to the simulation results, the proposed architecture not only has significantly fewer floating-point operations (FLOPs) and less training time, but it also has better performance in terms of Peak Signal to Noise Ratio (PSNR) compared to those of its counterparts. (The source code is available at https://github.com/AlirezaMorsali/ENRP)