bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Carbon Emission and Shelf-Life on Random Emission and Random Price Dependent Demand of a Perishable Product in Interval Environment
Authors: Bhattacharjee Nabajyoti , Sen Nabendu 
Published: May 2021

Abstract
An inventory of suppliers dealing with supply of raw materials from the natural resources like sugarcane, beetroot, vegetable scraps etc. need to choose the product for supply to the production industries with a great consciousness due to their finite shelf-life and carbon emission property. A product with small shelf-life and carrying the burden of carbon tax need to be sold quickly so that overall profit earn can be maximize in such a situation. Further the situation deteriorates when the selling price of a product is affected by the carbon emission and its absolute value reduces with time. There we need a formal mathematical design that can include all these issues of price and carbon tax so that the supplier can select the best product for sale. In this paper we develop and inventory model to investigate the earnings made by the supplier, selling the product with price- and stock- dependent demand and study the effect of carbon emission and shelf-life. Further we obtain the optimal preservation cost and green investment to reduce the deterioration and carbon emission. We study the model under different cases; deterministic demand, probabilistic demand with random emission and probabilistic demand with random price. We perform the sensitivity analysis.
Biophysical Considerations in the Rational Design and Cellular Targeting of Flexible Polymeric Nanoparticles
Authors: Farokhirad Samaneh , Kandy Sreeja Kutti , Tsourkas Andrew , Ayyaswamy Portonovo , Eckmann David , Radhakrishnan Ravi 
Published: May 2021

Abstract
Physicochemical characteristics of nanoparticles (NPs) can be engineered for tuning their biological function in cellular delivery. How NP mechanical properties impact multivalent ligand-receptor mediated binding to cell surfaces, the avidity of NP adhesion to cells, propensity for internalization, and effects due to crowding remain unknown or unquantified. We report computational analyses of binding mechanisms of three distinct NPs that differ in type and rigidity (core-corona flexible NP, rigid NP, and rigid-tethered NP) but are otherwise similar in size and ligand surface density; moreover, for the case of flexible NP, we tune NP stiffness by varying the internal crosslinking density. We employ biophysical modeling of NP binding to membranes together with thermodynamic analysis powered by free energy calculations and show that efficient cellular targeting and uptake of NP functionalized with targeting ligand molecules can be shaped by factors including NP flexibility and crowding, receptor-ligand binding avidity, state of the membrane cytoskeleton, and curvature inducing proteins. Owing to this multitude of factors, we demonstrate that the binding avidity of a flexible NP depends on engineered changes in NP flexibility governed by significant enthalpy entropy compensations arising from multiple competing terms associated with NP, receptor density, and membrane. Analyses of the individual enthalpic and entropic contributions associated with NP, membrane, and receptor-ligand binding and receptor diffusion collectively illuminate this complex dependence of avidity on crosslinking. These findings provide strong evidence that NP flexibility is an important design parameter for rationally engineering NP targeting and uptake in a crowded cellular adhesion microenvironment.
A Quantitative Determination of Minimum Film Thickness in Elastohydrodynamic Circular Contacts
Authors: Habchi Wassim , Vergne Philippe 
Published: May 2021

Abstract
The current work presents a quantitative approach for the prediction of minimum film thickness in elastohydrodynamic lubricated (EHL) circular contacts. In contrast to central film thickness, minimum film thickness can be hard to accurately measure, and it is usually poorly estimated by classical analytical film thickness formulae. For this, an advanced finite-element-based numerical model is used to quantify variations of the central-to-minimum film thickness ratio with operating conditions, under isothermal Newtonian pure-rolling conditions. An ensuing analytical expression is then derived and compared to classical film thickness formulae and to more recent similar expressions. The comparisons confirmed the inability of the former to predict the minimum film thickness, and the limitations of the latter, which tend to overestimate the ratio of central-to-minimum film thickness. The proposed approach is validated against numerical results as well as experimental data from the literature, revealing an excellent agreement with both. This framework can be used to predict minimum film thickness in circular elastohydrodynamic contacts from knowledge of central film thickness, which can be either accurately measured or rather well estimated using classical film thickness formulae.
KMT2A-ARHGEF12, a Therapy Related Fusion with Dismal Prognosis.
Authors: Assaf Nada , Liévin Raphael , Merabet Fatiha , Raggueneau Victoria , Osman Jenifer , Spentchian Marc , Kim Rathana , Renosi Florian , Garnache Francine , Eclache Virginie , Luquet Isabelle , Abascal Lilia Corral , D’Angiò Mariella , Larghero Patrizia , Meyer Claus , Marschalek Rolf , Rousselot Philippe , Terré Christine 
Published: May 2021

Abstract
Background: The detection of KMT2A gene rearrangements have an important impact on the prognosis and management of acute leukemias. These alterations most commonly involve reciprocal translocations at specific breakpoint regions within KMT2A. To date, more than 100 translocation partner genes of KMT2A have been identified, with different effects on risk stratification. Methods and Results: We report the case of a mature plasmacytoid dendritic cells proliferation associated with B lymphoblasts harboring a KMT2A-ARHGEF12 fusion. This rare rearrangement, resulting from a cryptic deletion on the long arm of chromosome 11, is located outside the known major and minor breakpoint regions of KMT2A, not reported to date. The review of the few cases of KMT2A-ARHGEF12 reveals the tendency of this deletion to occur in therapy related hematologic neoplasm and confer unfavorable prognosis. Conclusion: This review sheds light into the rare KMT2A-ARHGEF12 fusion in leukemia. Reporting rare chimeras is essential to improve knowledge about the biological mechanism and associated clinical consequences.
Ecological Footprint Prediction based on Global Macro Indicators in G-20 Countries using Machine Learning Approaches
Authors: Roumiani Ahmad , Mofidi Abbas 
Published: May 2021

Abstract
Paying attention to human activities in terms of land grazing infrastructure, crops, forest products and carbon impact, the so-called ecological impact (EF) is one of the most important economic issues in the world. In the present study, data from global databases were used. The ability of the penalized regression approach (PR including Ridge, Lasso and Elastic Net) and artificial neural network (ANN) to predict EF indices in the G-20 over the past two decades (1999–2018) was depicted and compared. For this purpose, 10-fold cross-validation was used to assess predictive performance and to specify a penalty parameter for PR models. Based on the results, a slight improvement in prediction performance was observed over linear regression. Using the Elastic Net model, more global macro indices were selected than Lasso. Although Lasso included only some indicators, it still had better predictive performance among PR models. Although the findings using PR methods were only slightly better than linear regression, their interest in selecting a subset of controllable indicators by shrinking the coefficients and creating a parsimonious model was apparent. As a result, penalized regression methods would be preferred, using feature selectivity and interpretive considerations rather than predictive performance alone. On the other hand, neural network-based models with higher values of coefficients of determination (R2) and values lower of RMSE than PR and OLS had significant performance and showed that they are more accurate in predicting EF. The results showed that the ANN network could provide considerable and appropriate predictions for EF indicators in the G-20 countries. predictions
Screening and Joint Analysis of Key lncRNAs for Milk Fat Metabolism in Dairy Cows
Authors: Mu Tong , Hu Honghong , Feng Xiaofang , Ma Yanfen , Wang Ying , Liu Jiamin , Yu Baojun , Wen Wan , Zhang Juan , Gu Yaling 
Published: May 2021

Abstract
Background: Long noncoding RNAs (lncRNAs) play an important regulatory role in various biological processes as a key regulatory factor. However, there are largely unknown for the function and expression profile of lncRNAs in milk fat synthesis of dairy cows. Results: In this study, RNA sequencing (RNA-seq) was used to research the whole genome expression of lncRNAs and mRNA transcripts in bovine mammary epithelial cells (BMECs) of dairy cows with high and low milk fat percentage (MFP), and joint analysis was carried out. We identified a total of 47 differentially expressed genes (DEGs) and 38 differentially expressed lncRNAs (DELs, Padj < 0.05), 11 candidate DEGs that may regulate milk fat metabolism were screened by enrichment analysis. Downregulated differential gene ENPP2 and upregulated differential gene BCAT1 are more likely to participate in the milk fat metabolism, and its function needs further experiments verification. The enrichment analysis of target genes predicted by DELs identified 7 cis (co-localization) and 10 trans (co-expression) candidate target genes related to milk lipid metabolism, corresponding to a total of 18 DELs. Among them, the targeting relationship between long intervening/intergenic noncoding RNA (lincRNA) TCONS_00082721 and FABP4 gene that predicts milk fat metabolism by co-localization and co-expression is worthy of attention. Based on the expression information of DELs, differential microRNAs (miRNAs), and lipid metabolism-related target genes, 156 competing endogenous RNAs (ceRNAs) interaction regulation networks related to milk fat metabolism were constructed. The regulatory network centered on miR-145 will be the focus of subsequent experimental research. The ceRNAs regulatory network related to TCONS_00082721 and TCONS_00172817 are more likely to be involved in milk fat synthesis. Conclusions: These results will provide new ways to understand the complex biology of dairy cow milk fat synthesis and provide valuable information for the breed improvement of Chinese Holstein cattle.
Efficacy of Internet Delivered Cognitive Behaviour Therapy for People in the Depressed Phase of Bipolar Disorder
Authors: Nielssen Olav , Staples Lauren , Karin Eyal , kayrouz rony , Dear Blake , titov Nicholai 
Published: May 2021

Abstract
BackgroundThere is little research reporting the outcome of internet delivered cognitive behaviour therapy (iCBT) for the depressed phase of bipolar disorder as part of routine care. MethodsDemographic information, baseline scores and treatment outcomes were examined for patients of MindSpot Clinic, a national iCBT service who reported taking Lithium and their clinic records confirming the diagnosis of bipolar disorder. Outcomes were completion rates, patient satisfaction and changes in measures of psychological distress, depression and anxiety measured by the Kessler-10 item (K-10), Patient Health Questionnaire 9 Item (PHQ-9), and Generalized Anxiety Disorder Scale 7 Item (GAD-7), compared to clinic benchmarks. ResultsOut of 21,745 people completed a MindSpot assessment and enrolled in a MindSpot treatment course in a 7 year period, 83 reported taking Lithium and had a confirmed a diagnosis of bipolar disorder. Reductions in symptoms were large on all measures (effect sizes > 1.0 on all measures, percentage change between 32.4% and 40%), and lesson completion and satisfaction with the course were also high. ConclusionsMindSpot treatments were effective in treating anxiety and depression in people diagnosed with bipolar, and suggest that the routine provision of iCBT can help overcome the under-use of evidence based psychological treatments of people with bipolar depression.
Fuzzy Based Priority Ad Hoc on Demand Multipath Distance Vector Stable Routing protocol (FPAOMDV)
Authors: Atri Swati , Tyagi Sanjay 
Published: May 2021

Abstract
Mobile ad-hoc networks are the most uncertain type of networks. Uncertainty occurs due to the mobile nature of the nodes, continuous consumption of energy and bandwidth results in unpredictable state of nodes. In this situation making an efficient, reliable and stable route selection is a challenging task and an open research problem aiming to provide continuous data transfer between source and destination node. Multipath routing protocol ensures reliable communication by providing multiple paths between source and destination nodes. To choose the best one among different alternative paths is the problem addressed by this paper. For this purpose fuzzy logic (multi valued logic) has been used. Fuzzy logic is a soft computing technique which is able to make precise and accurate decision in multi variable, uncertain and imprecise situation. Here, firstly Multipath Priority Based Route Discovery Mechanism (MPRDM) has been used to generate multiple paths between the two nodes participating in the communication. MPRDM calculates individual priority value for every RREP packet and assigns it to the different obtained routes. Further, in this paper fuzzy logic has been used for designing fuzzy route selection controller for Fuzzy Logic Based Stable Route Selection mechanism (FLSRSM) which calculates stability value of different routes based on priority value, average mobility and residual energy along the paths FLSRSM is able to make selection of best stable path based on the highest value of stability metric. This mechanism has been used to propose fuzzy based priority ad-hoc on demand multipath distance vector stable routing protocol (FPAOMDV) that provide stability, reliability and selects the route that has sufficient amount of energy to hold continuous data transfer. In Simulation results on NS2, the proposed protocol outperforms other compared routing protocols in terms of delay, throughput, PDR and overhead.
Systemic Inflammasome Activation and Pyroptosis Associate with the Progression of Alzheimer’s Disease
Authors: rui wenjuan , Xiao Hong , Fan Yi , Ma Zhongxuan , Xiao Ming , Li Sheng , Shi Jingping 
Published: May 2021

Abstract
Background: Growing evidence indicates that inflammasome-mediated inflammation plays an important role in the pathophysiology of Alzheimer’s disease (AD). Likewise, gasdermin D (GSDMD) as executive molecule in inflammasome-induced pyroptosis is also involved in many neurological disorders. However, it is not clear whether inflammasome and pyroptosis is activated in the periphery of AD patients and influences central inflammation. The aim of this study was to evaluate the association between systemic inflammasome-induced pyroptosis and clinical features in the progression of AD.Methods: A total of 86 participants, including 33 patients with AD, 33 patients with amnestic mild cognitive impairment (aMCI), and 20 controls, were included in this study. The cognitive level of each participant was evaluated, including Mini-mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) scores were assigned. We collected blood samples from each participant. Gene transcriptomes of peripheral blood mononuclear cells (PBMCs) were determined by RNA-seq. The expression levels of inflammasome-related genes/proteins in PBMCs were determined using quantitative polymerase chain reaction and western blotting. Cerebrospinal fluid (CSF) samples were collected from all AD patients. The levels of IL-1β, Aβ1-42, p-tau, and t-tau in CSF, as well as the plasma IL-1β level, were measured by enzyme-linked immunosorbent assay. Lastly, a low dose of lipopolysaccharides (LPS) was performed to investigate the effects of systemic pyroptosis in AD mice model.Results: Several genes involved in the inflammatory response pathway were enriched in PBMCs of AD patients. The mRNA and protein levels of NLRP3, caspase-1, GSDMD, and IL-1β were all increased in PBMCs from AD and aMCI patients. The IL-1β levels in plasma and CSF in AD and aMCI patients were significantly higher than those in controls and have a negative correlation with levels of Aβ1-42 in CSF, MMSE and MOCA scores. Furthermore, there was a positive correlation between the IL-1β level in plasma and CSF of AD or aMCI patients. In addition, animal experiments also showed that systemic pyroptosis aggravates neuroinflammation in 5×FAD mice.Conclusions: All these findings showed that the canonical inflammasome pathway and GSDMD-induced pyroptosis is activated in PBMCs from AD and aMCI patients. Proinflammatory cytokine IL-1β in periphery is highly associated with the pathological process of AD. Targeting peripheral inflammasomes and pyroptosis may be a strategy to inhibit neuroinflammation in AD.
Comparison of Awareness and Attitudes Toward Advance Care Planning Between Chinese Medical and Non-medical University Students
Authors: Liu Min , Meng Fanqi , Sun Wenmin , Li Dandan , Sun Jing 
Published: May 2021

Abstract
Background: To date, there is a paucity of information on the discrepancies of awareness and attitudes towards ACP among university students in mainland China. The purposes of this study are to investigate the discrepancies in the awareness and attitudes toward advance care planning (ACP) between Chinese medical and non-medical university students and to identify the association between the awareness and attitudes toward ACP and medical education. A total of 718 university students included 290 medical students and 428 non-medical students from 12 universities in 4 provinces in mainland China were surveyed by using the Advance Care Planning Questionnaire (ACPQ). Results: More than half of the university students (59.89%) had never heard of ACP before; there were significant differences in the awareness regarding ACP between medical students and their non-medical peers (P<0.05); 82.45% of participants were more likely to consider discussing ACP in the future; there was no significant difference (P>0.05) in the previous experience last 5 years between the two groups except the item of “have been involved in the decision making of your treatment” (P=0.005); univariate analysis and multivariate linear regression analysis showed that medical education was the factor influencing the awareness of end-of-life (P=0.000) and proxy decision-maker (P=0.028) among university students. Conclusion: The awareness toward ACP of university students in mainland China remained limited, but their attitudes were positive. Medical students had a higher level of awareness regarding ACP than non-medical students, and medical education was the factor that promoted students to understand end-of-life care and proxy decision-maker. Establishing educational initiatives, developing models for peer-led ACP, and perfecting governmental policies should be emphasized.
Neutral All Metal Aromatic Half-Sandwich Complexes Between Alkaline Earth and Transition Metals: An Ab-initio Exploration
Authors: Kalita Amlan Jyoti , Sahu Prem Prakash , Borah Ritam Raj , Rohman Shahnaz Sultana , Kashyap Chayanika , Ullah Sabnam Swabaka , Baruah Indrani , Mazumder Lakhya Jyoti , Konwar Dimpul , Guha Ankur Kanti 
Published: May 2021

Abstract
Sandwich complexes find their interests among the chemists after the breakthrough discovery of ferrocene. Since then, a number of sandwich and half sandwich complexes were predicted and synthesized. Herein, we have theoretically proposed a series of half-sandwich complexes involving a neutral Be3 ring and transition metal. Quantum chemical calculations have shown that the proposed complexes are quite stable involving high bond dissociation energies. The thermodynamics of their formation is also favorable. The Be3 ring in all cases posses dual aromaticity which has been ascertained based on magnetic as well as topological feature of electron density.
The Implications of CaMK2A And MeCP2 Signalings In The Cognitive Ability of Adolescents
Authors: Lee Li-Ching , Su Ming-Tsan , Huang Hsing-Ying , Cho Ying-Chun , Yeh Ting-Kuang , Chang Chun-Yen 
Published: May 2021

Abstract
The glutamatergic signaling pathway is involved in molecular learning and human cognitive ability. Specific single nucleotide polymorphisms (SNPs) in the genes encoding NMDA receptor subunits have been associated with neuropsychiatric disorders by altering glutamate transmission. But how these polymorphisms associated with cognition and brain psychological activities were rarely been explored in healthy adolescents. In this study, we screened SNPs of the glutamatergic signaling pathway to identify genetic variants associated with cognitive ability. We found that single nucleotide polymorphisms (SNPs) in subunits of ionotropic glutamate receptors, including GRIA1, GRINN1, GRIN2B, GRIN2C, GRIN3A, GRIN3B, and Calcium/ Calmodulin-dependent protein kinase II α (CaMK2A) associated with the cognitive function of students. Importantly, the plasma CaMK2A levels correlated positively with the cognitive ability of senior high school students in Taiwan. We demonstrated that the elevated CaMK2A increased its autophosphorylation at T286 and increased the expression of its downstream targets, including GRIA1 and phosphor GRIA1 in vivo. Additionally, the Methyl CpG binding protein 2 (MeCP2), a downstream target of CaMK2A, can activate the expression of CaMK2A, suggesting that MeCP2 and CaMK2A could form a positive feedback loop. In summary, we concluded that members of the glutamatergic signaling, CaMK2A, and MeCP2 were implicated in the cognitive ability of adolescents, and alternating in the CaMK2A expressing may have collective effects on the cognitive ability of youths.
The Method and Results of a Treatment Targeting SARS-CoV-2-Activated Inflammasomes
Authors: Kanwar Badar , Khattak Asif , Lee Chul Joong , Balentine Jenny , Kast R. E. , Oh Sang-Suk , Sergi Consolato , LEE JONG HOON 
Published: May 2021

Abstract
In COVID-19 patients, clinicians should consider an increase in the oxygen requirement from 6 l/min to as high as 100% with a high-flow nasal cannula, as well as dapsone administration. A COVID-19 committee at Hunt Regional Medical Center reviewed the use of dapsone as an off-label medication in the first period. The hospital then revalidated its effectiveness by reporting the findings of 44 (22 cases/22 controls) patients with ARDS treated with dapsone in the second period. In ARDS-onset patients treated with dapsone, there was a decrease in FIO2 requirements in 7 patients and no worsening in 1 patient. In aggravated ARDS patients treated with dapsone, there was a decrease in FIO2 requirements in 6 patients and no worsening in 3 patients. In patients with severe ARDS treated with dapsone, no response to treatment was observed in 2 patients. In the ARDS-onset group not treated with dapsone, eight of twenty patients died, but in the ARDS-onset group treated with dapsone, no one of seventeen patients died throughout the entire study period. There was a significant difference in dapsone treatment results in the ARDS-onset group. We clinically diagnosed transient bulbar palsy of medulla oblongata in the brain associated with SARS-CoV-2 infection in the ARDS-onset group. We confirmed that dapsone clinically treated the onset of ARDS by targeting SARS-CoV-2-activated inflammasomes. Like chemically reacting substances, inflammasome and dapsone are competing, proving that it is only effective in treating early ARDS.