bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adsorption of Anionic Dye Onto ZSM-5 Zeolite-based Bio Membrane: Characterizations, Kinetics and Adsorption Isotherm
Authors: Radoor Sabarish , Karayil Jasila , Jayakumar Aswathy , Parameswaranpillai Jyotishkumar , Lee Jaewoo , Shivanna Jyothi Mannekote , Nithya Rajarathinam , Siengchin Suchart 
Published: January 2022

Abstract
In this study, we report polyvinyl alcohol/carboxymethyl cellulose/gelatin/ZSM-5 zeolite (PVA/CMC/GEL/ZSM-5) membrane for anionic dye (rhodamine B, Rh B) removal from aqueous solution. The prepared membrane was characterized using different techniques such as Fourier transform infrared spectroscopy (FT-IR), X-ray diffraction (XRD), scanning electron microscopy (SEM), optical microscopy (OM), universal testing machine (UTM) and water contact angle respectively. XRD, FT-IR and SEM analysis indicates successful incorporation of zeolite into PVA/CMC/GEL membrane. The improved hydrophobicity of the zeolite loaded membrane was confirmed by contact angle analysis. The Rh B removal efficiency of zeolite loaded PVA/CMC/GEL membrane was investigated through batch adsorption technique. The effect of different parameters such as initial dye concentration, zeolite dosage, contact time, temperature and pH on the adsorption was examined. Rh B dye adsorption onto the membrane followed Freundlich isotherm model. The kinetic studies revealed that Rh B dye adsorption on the membrane could be explained using pseudo-second-order model. Finally, the recyclability test revealed that the membrane exhibits good recycle efficiency and is stable after 6 recycle.
Indian Ocean Dynamic Sea Level, Variability And Projections In CMIP6 Models
Authors: Chatterjee Abhisek , K Sajidh C 
Published: January 2022

Abstract
The regional sea level variability and its projection amidst the global sea level rise is one of the major concerns for coastal communities. The dynamic sea level plays a major role in the observed spatial deviations in regional sea level rise from the global mean. The present study evaluates 27 climate model simulations from the sixth phase of the coupled model intercomparison project (CMIP6) for their representation of the historical mean states, variability and future projections for the Indian Ocean. Most models reproduce the observed mean state of the dynamic sea level realistically, however consistent positive bias is evident across the latitudinal range of the Indian Ocean. The strongest sea level bias is seen along the Antarctic Circumpolar Current (ACC) regime owing to the stronger than observed south Indian Ocean westerlies and its equatorward bias. Further, this equatorward shift of the wind field resulted in stronger positive windstress curl across the southeasterly trade winds in the southern tropical basin and easterly wind bias along the equatorial waveguide. These anomalous easterly equatorial winds cause upwelling in the eastern part of the basin and keeps the thermocline shallower in the model than observed, resulted in enhanced variability for the dipole zonal mode or Indian Ocean dipole in the tropics. In the north Indian Ocean, the summer monsoon winds are weak in the model causing weaker upwelling and positive sea level bias along the western Arabian Sea. The high-resolution models compare better in simulating the sea level variability, particularly in the eddy dominated regions like the ACC regime in interannual timescale. However, these improved variabilities do not necessarily produce a better mean state likely due to the enhanced mixing driven by parametrizations set in these high-resolution models. Finally, the overall pattern of the projected dynamic sea level rise is found to be similar for the mid (SSP2-4.5) and high-end (SSP5-8.5) scenarios, except that the magnitude is higher under the high emission situation. Notably, the projected dynamic sea level change is found to be milder when only the best performing models are used compared to the full ensemble.
Characteristics of Soil Bacterial Community in the Decomposition Process Inside and Outside Moso Bamboo Stumps
Authors: Liang Fengna , Huang Xiao , Zheng Huixin , Ma Xiangqing , Huang Yonglai , Sun Na , Qin Xuelong , Jin Cheng , Yu Le , Cai Liping 
Published: January 2022

Abstract
Purpose: Soil bacteria comprise the largest number of soil microorganisms and play an important role in moso bamboo (Phyllostachys edulis) stump decay; however, the characteristics of soil bacterial communities inside and outside these stumps remain unclear. Methods: The characteristics of soil bacterial communities inside and outside Phyllostachys edulis bamboo stumps were analyzed under three different levels of decay using high-throughput sequencing technology. Results: The abundance of operational taxonomic units inside and outside the bamboo stumps increased as the decay progressed; Proteobacteria, Acidobacteria, Actinobacteria, Planctomycetes, and Verrucomicrobia were the most abundant phyla in the soil inside and outside the bamboo stumps. In the outside bamboo stumps, there was a very significant positive correlation of Acidobacteria and Planctomycetes with the decaying degree of bamboo stumps. At the class level, Alphaproteobacteria, Gammaproteobacteria, and Planctomycetacia were the most abundant bacteria in the bamboo stumps. Inside the stumps, the decaying degree of bamboo stumps was significantly positively correlated with Alphaproteobacteria and significantly negatively correlated with Gammaproteobacteria and Bacilli. Principal component analysis and the heat map analysis at the genus level indicated similarities among soil bacterial communities inside the moderately and severely decayed bamboo stumps and among the communities outside the mildly and moderately decayed bamboo stumps. Conclusion: Our results augment our understanding of the expeditious degradation process of bamboo stumps, and provide a theoretical basis and reference for microbiological research, sustainable bamboo stump operations, and degradation methods of bamboo forests.
The Impact of COVID-19 Pandemic Restrictions on Physical Activity and Psychological Characteristics of the Iranian People
Authors: Saemi Esmaeel , Nobari Hadi , Badicu Georgian , Ghazizadeh Habibollah , Pashabadi Ali , Imani Fatemeh , Clemente Filipe Manuel , Silva Ana Filipa , Afrash Sana 
Published: January 2022

Abstract
BackgroundThe aim of this study was to investigate the impact of the COVID-19 pandemic restrictions on physical activity behaviours, as well as on mental health indicators among Iranian residents. MethodsIn this cross-sectional study, 335 participants were included (155 males, mean age = 30.06 ± 14.58 years). The eligibility criteria for this study were as follows; 1- Having at least 10 years of age. 2- Having a minimum literacy rate 3- Ability to work with networks of smart communication devices such as smartphones and computers 4- Living in Iran for the past 5 years. Participants were selected through the convenience sampling and filled out an online questionnaire measuring physical activity behaviours (The International Physical Activity Questionnaire; IPAQ; Short Form) and two mental health indicators – self-esteem (Rosenberg self-esteem scale) and social physical anxiety (7-items social physique anxiety scale). ResultsThe results of Wilcoxon test showed that participants reported significant differences from before to during the pandemic in all three variables of physical activity (significant decreases), self-esteem (significant decreases), and social physical anxiety (significant increases). This difference was found, regardless of participants’ gender. The results of Spearman correlation test between changes in physical activity and changes in mental health indicators showed that COVID-19 pandemic negatively impacted self-esteem and social physical anxiety. However, we have not found any significant association of physical activity’s change with social physical anxiety or self-esteem’s changes before and during the pandemic. ConclusionsIn sum, the findings of the present study indicate a detrimental effect of the COVID-19 pandemic on the physical activity and mental health among Iranian’s residents. Public policies aiming to buffer the negative impact on COVID-19 Iranians’ health are urgently needed.
Orthogonal Control of Gene Expression in Plants Using Synthetic Promoters and CRISPR-Based Transcription Factors
Authors: Kar Shaunak , Bordiya Yogendra , Rodriguez Nestor , Kim Junghyun , Gardner Elizabeth C , Gollihar Jimmy D , Sung Sibum , Ellington Andrew D 
Published: January 2022

Abstract
Background: The construction and application of synthetic genetic circuits is frequently improved if gene expression can be orthogonally controlled, relative to the host. In plants, orthogonality can be achieved via the use of CRISPR-based transcription factors that are programmed to act on natural or synthetic promoters. The construction of complex gene circuits can require multiple, orthogonal regulatory interactions, and this in turn requires that the full programmability of CRISPR elements be adapted to non-natural and non-standard promoters that have few constraints on their design. Therefore, we have developed synthetic promoter elements in which regions upstream of the minimal 35S CaMV promoter are designed from scratch to interact via programmed gRNAs with dCas9 fusions that allow activation of gene expression. Results: A panel of three, mutually orthogonal promoters that can be acted on by artificial gRNAs bound by CRISPR regulators were designed. Guide RNA expression targeting these promoters was in turn controlled by either Pol III (U6) or ethylene-inducible Pol II promoters, implementing for the first time a fully artificial Orthogonal Control System (OCS). Following demonstration of the complete orthogonality of the designs, the OCS was tied to cellular metabolism by putting gRNA expression under the control of an endogenous plant signaling molecule, ethylene. The ability to form complex circuitry was demonstrated via the ethylene-driven, ratiometric expression of fluorescent proteins in single plants. Conclusions: The design of synthetic promoters is highly generalizable to large tracts of sequence space, allowing Orthogonal Control Systems of increasing complexity to potentially be generated at will. The ability to tie in several different basal features of plant molecular biology (Pol II and Pol III promoters, ethylene regulation) to the OCS demonstrates multiple opportunities for engineering at the system level. Moreover, given the fungibility of the core 35S CaMV promoter elements, the derived synthetic promoters can potentially be utilized across a variety of plant species.
Restricted Feeding Regimens Improve White Striping Associated Muscular Defects In Broiler Chickens
Authors: Ayansola Hammed , Yu Xiaoxiao , Lei Jiaqi , Liao Chaoyong , Guo Yuming , Zhang Bingkun , Wang Bo 
Published: January 2022

Abstract
Background: Ad libitum (AD) feeding is crucial to profitable commercial broiler chicken production. However, it partly disrupts muscle development, causing myopathies like white striping in broilers’ breast meat. For this reason, this study investigated the impacts of intermittent feeding (IF) and fasting strategies as potential alternatives to AD feeding. A total of 384 one-day-old broilers were randomly allotted into 4 groups - ad libitum, 1h-IF group (4 times/day, 1 hour each time), 1.5h-IF (4 times/day, 1.5hrs each time), and acute fasting (1-day acute fasting, 6-days free access to feed). Feed intake, weight gain, muscle structure, differential genes, and protein expressions were assessed in the broiler breast muscles. Results: IF and fasting significantly reduced ectopic fat deposit and muscle fiber size (p < 0.05). Notably, 1.5h-IF promoted PAX7+ satellite cell proliferation supporting muscle growth and repair activities in fast-growth broiler chickens. Consistently, the restricted regimens downregulated the collagen protein synthesis of skeletal muscle-specific E3 ubiquitin ligases (TRIM63 and MAFBX) in 42 – days old breast muscle samples (p < 0.05), especially in the 1.5h-IF group. Compared to AD-fed birds, 1.5h-IF and fasting feeding significantly decreased white striping scores in the breast meat muscle (p < 0.05). ConclusionChronic IF or acute fasting improved muscle health of broiler chickens without significant compromise on growth rate and feed efficiency compared to AD feeding. Therefore, this study presents potential feeding frequencies relevant for optimal growth pace while alleviating the occurrence of myopathic pathophysiology in broiler chickens.
The Importance of Routine Quality Control For Reproducible Pulmonary Measurements By in Vivo Micro-CT
Authors: Mambrini Martina , Mecozzi Laura , Ferrini Erica , Leo Ludovica , Bernardi Davide , Andrea Grandi , Sverzellati Nicola , Ruffini Livia , Silva Mario , Stellari Franco 
Published: January 2022

Abstract
Micro-Computed Tomography (CT) imaging provides densitometric and functional assessment of lung diseases in animal models, playing a key role either in understanding disease progression or in drug discovery studies.The generation of reliable and reproducible experimental data is strictly dependent on a system’s stability. Quality Controls (QC) are essential to monitor micro-CT performance but, although QC procedures are standardized and routinely employed in clinical practice, detailed guidelines for preclinical imaging are lacking. In this work, we propose a routine QC protocol for in vivo micro-CT, based on three commercial phantoms. To investigate the impact of a detected scanner drift on image post-processing, a retrospective analysis using twenty-two healthy mice was performed and lung density histograms used to compare the Area Under Curve (AUC), the skewness and the kurtosis before and after the drift. As expected, statistically significant differences were found for all the selected parameters [AUC: 532 ± 31 vs. 420 ± 38 (p < 0.001); skewness: 2.3 ± 0.1 vs. 2.5 ± 0.1 (p < 0.001) and kurtosis: 4.2 ± 0.3 vs. 5.1 ± 0.5 (p < 0.001)], confirming the importance of the designed QC procedure to obtain a reliable longitudinal quantification of disease progression and drug efficacy evaluation.
Thermo-Electrochemical Redox Flow Battery for Continuous Conversion of Low-Grade Waste Heat to Power
Authors: Bleeker Jorrit , Reichert Stijn , Veerman Joost , Vermaas David 
Published: January 2022

Abstract
Here we assess the route to convert low grade waste heat (<100°C) into electricity by leveraging the temperature dependency of redox potentials (Seebeck effect). We use fluid-based redox-active species, which can be easily heated and cooled using heat exchangers. By using a first principles approach, we designed a redox flow battery system with Fe(CN)63−/Fe(CN)64− and I−/I3− chemistry. We evaluate the continuous operation with one flow cell at high temperature and one at low temperature. We show that the most sensitive parameter, the Seebeck coefficient, can be controlled via the redox chemistry, the reaction quotient and solvent additives, and we present the highest Seebeck coefficient for this RFB chemistry. A power density of 0.6 W/m2 and stable operation for 2 hours are achieved experimentally. We predict high (close to Carnot) heat-to-power efficiencies if challenges in the heat recuperation and Ohmic resistance are overcome, and the Seebeck coefficient is further increased.
Slow Firing Single Units Are Essential for Optimal Decoding of Silent Speech
Authors: Kennedy Philip , Ganesh A. , Cervantes A.J. 
Published: January 2022

Abstract
Summary The motivation of someone who is locked-in, that is, paralyzed and mute, is to find relief for their loss of function. The data presented in this report is part of an attempt to restore one of those lost functions, namely, speech. An essential feature of the development of a speech prosthetic is optimal decoding of patterns of recorded neural signals during silent or covert speech, that is, speaking ‘inside the head’ with no audible output due to the paralysis of the articulators. The aim of this paper is to illustrate the importance of both fast and slow single unit firings recorded from an individual with locked-in syndrome and from an intact participant speaking silently. Long duration electrodes were implanted in the motor speech cortex for up to 13 years in the locked-in participant. The data herein provide evidence that slow firing single units are essential for optimal decoding accuracy. Additional evidence indicates that slow firing single units can be conditioned in the locked-in participant five years after implantation, further supporting their role in decoding.
Structure Based Innovative Approach to Analyze Aptaprobe-GPC3 Complexes in Hepatocellular Carcinoma
Authors: Shin Woo-Ri , Park Dae-Young , Kim Ji Hun , Lee Jin-Pyo , Thai Nguyen Quang , Oh In-Hwan , Sekhon Simranjeet Singh , Choi Wooil , Kim Sung Yeon , Cho Byung-Kwan , Kim Sun Chang , Min Jiho , Ahn Ji-Young , Kim Yang-Hoon 
Published: January 2022

Abstract
Background Glypican-3 (GPC3), a membrane-bound heparan sulfate proteoglycan, is a biomarker of hepatocellular carcinoma (HCC) progression. Aptamers specifically binding to target biomolecules have recently emerged as clinical disease diagnosis targets. Here, we describe 3D structure-based aptaprobe platforms for detecting GPC3, such as aptablotting, aptaprobe-based sandwich assay (ALISA), and aptaoptical imaging analysis. Results For preparing the aptaprobe–GPC3 platforms, we obtained 12 high affinity aptamer candidates (GPC3_1 to GPC3_12) that specifically bind to target GPC3 molecules. Structure-based molecular interactions identified distinct aptatopic residues responsible for binding to the paratopic nucleotide sequences (nt-paratope) of GPC3 aptaprobes. Sandwichable and overlapped aptaprobes were selected through structural analysis. The aptaprobe specificity for using in HCC diagnostics were verified through Aptablotting and ALISA. Moreover, Aptaoptical imaging showed that the binding property of GPC3_3 and their GPC3 specificity were maintained in HCC xenograft models, which may indicate a new HCC imaging diagnosis.Conclusion Aptaprobe has the potential to be used as an affinity reagent to detect the target in vivo and in vitro diagnosing system.
The Top 5 Causes of Death In China From 2000 To 2017
Authors: Zou Haiyin , Tian Xinjie , Ren Yongcheng 
Published: January 2022

Abstract
Background: Limited information is available on the epidemiological characteristics of major causes of death in the last 18 years. In this study, we investigated the epidemiological characteristics of the top 5 causes of death in China from 2000 to 2017. Methods: Data were obtained from the 18-year reports of Ministry of Health and analyzed by Grid Search Method, Permutation test, and log-linear regression model. Results: The top 5 consistent causes of death, malignant tumor, cerebrovascular disease, heart trouble, respiratory disease, trauma and toxicosis accounted for 82.6% in 2000, 86.49% in 2017 in urban areas and 83.31% in 2000, 88.34% in 2017 in rural areas. The increasing trends (P<0.05) of proportions of death of malignant tumor, cerebrovascular disease, and heart trouble have average annual percent change (AAPC) = 0.5%, 0.3%, 2.4% in urban areas and 1.7%, 1.5%, 4.3% in rural areas. The AAPCs of respiratory disease are -1.4% in urban areas and -3.6% in rural areas. Cardio-cerebrovascular disease increased (Urban: 39.02% to 43.56%, AAPC=1.3%, P<0.05; Rural: 32.03% to 45.91%, AAPC=2.7%, P<0.05) steeply from 2000 to 2017 which are higher than that of malignant tumor (P<0.05). Conclusion: The top 5 causes of death in China accounted for more than 85% of all deaths in 2017, in which cardio-cerebrovascular disease accounted for the largest proportion with the steepest increasing trend.
Based on Bioinformatics Studies on the Effect of a lpha1H on Key Genes, Pathways in Bladder Cancer and lncRNA on Patient Prognosis
Authors: Wang Xing , Yu Jiandi , peng Kun , Wen Huali , Wang Renjie , Zhou Haiyong 
Published: January 2022

Abstract
Objective: To analyze the differential genes, lncRNA, signaling pathway and patient prognosis of bladder cancer after alpha1H treatment.Methods: Sequencing data GSE172112 for patients in clinical trials with a new bladder cancer drug were downloaded from the GEO database, The bladder cancer tissues using the new drug alpha1H (alpha1-oleate) and placebo were analyzed in the R language, The differentially expressed genes were selected; Differential genes were analyzed for KEGG pathway enrichment using the DAVID database, To explore the effect of a lpha1H treatment on pathways in patients with bladder cancer; at the same time, lncRNA expression data from the Bladder Cancer (BLCA) dataset were also downloaded through the TCGA database, First, screening for differential lncRNA expression, The screening results were then analyzed by univariate Cox regression to initially screen for lncRNA associated with prognosis, The key lncRNA affecting the prognosis were further screened out, The prognostic model was also constructed using multivariate Cox regression analysis. Results: There yielded 394 significantly upregulated genes and 385 significantly downregulated genes in bladder cancer tissue after a lpha1H treatment. Through gene signaling pathway enrichment analysis, the upregulated genes were mainly enriched in the signaling pathways regulating the pluripotent line of stem cell cells, the TGF-signaling pathways, and the cell cycle. The downregulated genes were mainly enriched in the MAPK signaling pathway, phagosomes, and the TNF signaling pathway. After a lpha1H treatment, of 119 differentially expressed lncRNA, from the lnc2cancer database, two genes were found to be potentially associated with bladder cancer prognosis, and the final analysis confirmed the key lncRNA affecting prognosis. The results of survival analysis showed that high expression of LINC00152 unfavorable unfavorable patient prognosis and the new drug alpha1H reduces LINC00152 favors patient prognosis. Conclusion: Alpha1H can cure bladder cancer by regulating hallmark signaling, TGF-beta signaling, and LINC00152.
Sociality of Future Outcomes Moderates The Effects Of Warmth And Competence On Social Optimism Bias - A Pre-Registered Study
Authors: Dricu Mihai , Jossen Sina Ladina , Aue Tatjana 
Published: January 2022

Abstract
People are overoptimistic about the future of those they like or admire (social optimism bias), expecting significantly more desirable than undesirable outcomes. By contrast, they are pessimistic about those they don’t like. To operationalize the (dis)like of social targets, warmth and competence are used as two universal dimensions of social perception. In this pre-registered study, we replicate previous findings while adding two new levels of complexity. First, we make the distinction between the sociality of future outcomes: “alone” outcomes (e.g., enjoying a quiet afternoon by oneself) and “social” outcomes (e.g., enjoying a vacation with the significant other). Second, we investigate the effect of attachment styles on one’s expectations for alone and social outcomes towards the social targets. In line with our hypotheses, the sociality of outcomes moderates both the additive and the multiplicative effects of the warmth and competence of social targets on social optimism bias. Diverging from our hypotheses, we find that attachment anxiety and avoidance do not influence the effects of warmth and competence on social optimism bias. However, exploratory analyses revealed that attachment dimensions buffer the magnitude of social optimism bias for highly self-relevant social targets but do not impact a social pessimism bias for irrelevant targets.