bluuebunny/crossref_metadata_2025_split huggingface dataset:
Wheat straw-based particleboards with citric acid as adhesive; influence of mat moisture and adhesive content
Authors: Khatiri Amin , Shalbafan Ali , Najafi Saeed Kazemi 
Published: September 2023

Abstract
ABSTRAC
In this study, the properties of particleboard made from wheat straw using citric acid (CA) as a bio-adhesive were investigated. The effects of mat moisture content (MC) and adhesive on mechanical properties (flexural strength, modulus of elasticity, internal strength) and physical properties (thickness shrinkage and water absorption) of straw particleboard were evaluated. To control the MC of the mat, the resinated straw particles were oven dried at different times (2 to 14 hours) and temperatures (80 and 100 °C) to obtain a mat with MC between 20 and 0.5%. The effects of an adhesive content of 15, 20, 25 and 30% (based on the dry mass of the straw) on the properties of the panels were also studied. The best MC of the mat before hot pressing was about 11% (drying of the particles in 2 hours at 100 °C), and the corresponding board had the highest mechanical and the lowest physical properties. Further decreasing the MC of the mat from about 11% to 0.5% had a negative effect on the mechanical and physical properties of the straw particleboard. Increasing the adhesive content from 15% to 30% improved all mechanical and physical properties of the panels; however, the changes in the range of 20% to 30% of adhesive content on the flexural properties and water absorption were not significant. In general, the results showed that due to the acidic nature of CA, it is possible to produce particleboard from wheat straw without pretreating the straw particles before use.
Cerium oxide nanoparticles alleviate sepsis-related cognitive impairments in rats
Authors: Zhao Jungang , Liu Qian , Chen Qin , Hong Fei , Zhu Guoji , Liu Feng 
Published: September 2023

Abstract

Background
This study aimed to investigate the therapeutic potential of cerium oxide nanoparticles (CeO2NPs) in sepsis-related cognitive impairments.
Methods
X-ray diffractometer and scanning electron microscopy were used to characterize the nanoparticles. Cecal ligation and puncture (CLP)-induced sepsis rat model was established. The rats were orally administered vehicle or different doses of CeO2NPs (4, 8, or 16 mg/kg) once daily for 7 days. Neurobehavioral assessment and Morris water maze test were carried out to evaluate the cognitive ability of the rats. The hippocampus and blood samples were collected at 7 days after treatment. ELISA was performed to measure the serum levels of proinflammatory cytokines and oxidative stress markers. Western blot analysis was conducted to determine the hippocampal expression of matrix metalloproteinases (MMPs).
Results
CeO2NPs were crystalline with diameters of approximately 30 nm. Compared with vehicle-treated septic rats, CeO2NPs-treated ones exhibited significantly increased neurobehavioral scores and survival rates, shortened escape latencies, increased numbers of platform crossings, as well as longer swimming paths and more time spent in the target quadrant. ELISA showed that CeO2NPs effectively reversed CLP-induced elevations in the serum levels of proinflammatory cytokines (IL-6, IL-1β, and TNF-α) and oxidative stress indicators (SOD and CAT). Furthermore, CeO2NPs strongly abolished CLP-induced upregulation of MMP-2 and MMP-9 protein expression related to blood-brain barrier disruption in the hippocampus of septic rats. Of note, all the effects of CeO2NPs were dose dependent.
Conclusion
CeO2NPs ameliorate cognitive ability and survival rate of septic rats possibly by alleviating systemic inflammation, oxidative stress, and blood-brain barrier disruption.
Mitochondria-associated gene SLC25A32 as a novel prognostic and immunotherapy biomarker: From pan-cancer multi-omics analysis to breast cancer validation
Authors: Zuo Shiqi , He Siyuan , Zhang Yingying , Wu Ziqing , Tang Yao 
Published: September 2023

Abstract
Background:
Mutations in SLC25A32 in humans cause riboflavin-responsive exercise intolerance, which is associated with various neurological and metabolic diseases. However, its specific mechanism of action in tumour development is poorly understood owing to the lack of multi-omics integrated analysis of SLC25A32 in pan-cancer.
Methods:
We used various analytical tools to comprehensively investigate the transcription, protein level, and promoter methylation of SLC25A32. Furthermore, the GSCA and cBioPortal databases were used to evaluate the inheritance impact and epigenetic alterations of SLC25A32 in pan-cancer. SLC25A32 expression and the prognostic significance of copy number alterations in multiple cancers were compared using the UCSCXenaShiny and GEPIA2.0 platforms, and its specific function in breast cancer was experimentally verified.
Results:
SLC25A32 is abnormally expressed at the transcriptional and protein levels in most cancer types, with aberrant DNA promoter methylation and significant gene amplification in most tumours. SLC25A32 is significantly associated with the survival prognosis of some cancers, immune infiltrating cells, tumour stemness, and immune-related markers. SLC25A32 knockdown decreased breast tumour cell proliferation, invasion, and metastasis.
Conclusions:
This study aimed to reveal SLC25A32 as a novel prognostic biomarker for pan-cancer prediction and immunotherapy efficacy and specifically describes its underlying mechanism of action in breast cancer. SLC25A32 is widely differentially expressed in pan-cancer with prognostic significance and is correlated with immune infiltration. Additionally, it can affect breast cancer occurrence and development.
Elevated accumulation of lutein and zeaxanthin in a novel high-biomass strain Dunaliella sp. ZP-1 through EMS mutagenesis
Authors: Liu Chenglong , Huang Danqiong , Zhuo Xinran , Feng Jinwei , Wen Xueer , Liao Zixin , Wu Runling , Hu Zhangli , Lou Sulin , Li Hui 
Published: September 2023

AbstractBackgroundDunaliellaalgae, such asDunaliella salinarich in β-carotene andDunaliella bardawilis rich in lutein and α-carotene, have been used in aquaculture, supplements, cosmetics and feed industries. The genusDunaliellais diverse and secretive, so characterization of novel strains and breeding new varieties through mutagenesis technology will promote natural carotenoid bioproduction. Results Salt stress test demonstrated microalgae strain ZP-1 was a halotolerant strain. Morphology observation and phylogeny analysis indicated this unicellular green algae ZP-1 was a member of the genusDunaliella. Biomass of ZP-1 in RAM medium is up to 2.45 g/L, showing an advantage over the commonDunaliellaalgae in terms of yield. Furthermore, a screen on ethyl methanesulfonate mutant library generated from this high-biomass strain was conducted to improve natural carotenoid productivity. A mutant strain selected through morphology observation combined with carotenoid quantification by HPLC was nominated asturn yellow dunaliella 4(tyd4). The mutanttyd4displayed an increased lutein productivity by 28.55% and an increased zeaxanthin productivity by 22.19%. Biomass oftyd4was promoted by 17.40% through continuous culture under red light. Application of exogenous 1.0 µM melatonin on the mutanttyd4lead to increased cell density and improved biomass. Conclusions The results together support that EMS mutagenesis was an effective breeding approach for improvement ofDunaliellasp. ZP-1, which was a high-biomass microalgae exhibiting potential to some extent overcome the bottleneck of low biomass of current commercialDunaliellastrains. The mutanttyd4had higher contents of both lutein and zeaxanthin, whose yield could be further elevated by red light and melatonin at lab-scale culture. Our study provided new algae resources for scientific research and technical reference to bioproduction of natural carotenoids.
Neuro-AI: Enhancing Digital Growth Metrics through Social Media Automation
Authors: Sharma Anshu , Sharma Chirag , Garg Rachit , Madaan Tanvi 
Published: September 2023

Abstract
The introduction of social media platforms transformed the way individuals and businesses engage, communicate, and advertise their goods and services. Understanding and anticipating the growth metrics of online content is critical for keeping a competitive edge in this continuously developing digital market. Using Artificial Intelligence (AI) based on neurological patterns, this article proposes a novel technique to predicting digital growth indicators such as post engagement, reach, and user interactions. The discussed research topics are implemented using a provided approach, and the findings are discussed, including roughly 91% correctly predicted hashtags, 0.7 R2 scores, and an acceptance rate of approximately 78% by various influencers for the created post content. For these results, I collaborated with ten influencers ranging in size from small to medium who were willing to work on this method in private because data cannot be disclosed publicly.
Crosstalk between LncRNA HAGLR, Autophagy Regulation, and Prognosis in Gastric Cancer: Implications for Therapeutic Strategies
Authors: Fang ChangZhong , Yu Nanhui , Hu Yuejuan , Shi Wenbin 
Published: September 2023

Abstract
Objective
To examine the role of the autophagy-related gene LncRNA HAGLR in gastric cancer (GC) prognosis, co-regulation, and drug sensitivity.
Methods
RNA sequencing data retrieved from public databases were used to analyze HAGLR expression in GC tissues. Differentially expressed genes associated with HAGLR were screened. Various experiments were conducted to examine the HAGLR's effect on GC cell proliferation, invasion, migration, apoptosis, and drug sensitivity.
Results
HAGLR was significantly upregulated in GC and correlated with poor prognosis. A total of 265 differentially expressed genes linked to HAGLR were identified, which were primarily involved in nutrient digestion, absorption, and metabolism. Downregulation of HAGLR resulted in inhibition of GC cell proliferation, invasion, and migration, increased apoptosis, and sensitivity to common GC drugs.
Conclusion
HAGLR influences prognosis, biological process regulation, and drug sensitivity in GC.
Analysis of clinical features, prognosis and potential target genes of refractory meningioma-- Research based on multiple databases
Authors: Li Shiwei , Li Mengjiao , Zhu Kaitao , Zhang Shanyi 
Published: September 2023

Abstract
Objective:
Analyzing SEER database data on malignant meningiomas, we explored high-risk factors for refractory meningiomas (RMs). Additionally, we analyzed GEO database genes across WHO grades to identify key genes and malignant risk factors for RMs. Immunohistochemical analysis was performed on WHO grade meningiomas' pathological specimens to verify hub gene expression differences.
Methods:
We included clinical cases of malignant meningiomas diagnosed in the SEER database. GEO database provided a gene expression profile dataset of 252 samples. Significant expression differences yielded screened genes, constructing a PPI network and identifying common hub genes. Hub gene-WHO classification correlation was assessed. A single center collected 38 meningioma samples grouped by WHO grade. Immunohistochemistry confirmed hub gene expressions.
Results:
SEER study: Multivariate COX analysis revealed age (P < 0.001), sex (P=0.071), chemotherapy (P < 0.001), and tumor size (P=0.003) as statistically significant prognostic factors.
Gene database analysis: Differential genes ErbB3 and EGFR were identified; Progesterone and estrogen receptors PR and ER were also included, with distinct expressions across WHO grades (P < 0.001), except for ER.
Pathological data study: EGFR correlated positively with WHO grade (r=0.396, P=0.014). ErbB3 (r=-0.487, p=0.002), ER (r=-0.396, P= 0.002), and egfr (r=-0.396, P=0.014) correlated negatively. nPR (r=-0.519, P < 0.001) and PR (r=-0.218, p=0.189) correlated negatively. nEGFR (r=-0.061, p=0.717) were not significant. ER (r=-0.316, P=0.065) and nPR (r=-0.443, P=0.008) correlated negatively with recurrence.
Conclusion:
EGFR, ErbB3, ER, and nPR might be potential RM diagnostic and treatment targets. mPR distribution discrepancies may hold diagnostic and therapeutic importance under new classifications or definitions.
Forecasting Social Cost of Carbon With Predictive Machine Learning Models for CO₂ And GHG Emissions
Authors: Sarkar Pratyayan , Chowdhury Arindam 
Published: September 2023

Abstract
Our study focuses on the Social Cost of Carbon in Relation to Climate Risk. Since information on the social cost of carbon and its effects on the climate is not easily accessible, we searched the internet for pertinent data sets. We have information on emissions from 470 oil and gas companies in 2021 as well as information on emissions in India, China, and the entire Asian continent from 1850 to 2021. We have observed a direct relationship between the upkeep of carbon emission monitoring systems and the carbon emissions of oil and gas firms. As the upkeep of the carbon emission monitoring systems increased, we discovered that oil and gas industries' carbon emissions decreased. To forecast the carbon emissions in India, China, and all of Asia, we also built a machine-learning model and gave it data from 1850 to 2021.
Multi-method computational evaluation of the inhibitors against leucine-rich repeat kinase 2 G2019S mutant for Parkinson's disease
Authors: Elhadi Ahmed , Zhao Dan , Ali Noman , Sun Fusheng , Zhong Shijun 
Published: September 2023

Abstract
Leucine-rich repeat kinase 2 G2019S mutant (LRRK2 G2019S) is a potential target for Parkinson's disease therapy. In this work, the computational evaluation of the LRRK2 G2019S inhibitors was conducted via a combined approach which contains a preliminary screening of a large database of compounds via similarity and pharmacophore, a secondary selection via structure-based affinity prediction and molecular docking, and a rescoring treatment for the final selection. MD simulations and MM/GBSA calculations were performed to check the agreement between different prediction methods for these inhibitors. 331 experimental ligands were collected, and 170 were used to build the structure-activity relationship. Eight representative ligand structural models were employed in similarity searching and pharmacophore screening over fourteen million compounds. The process for selecting proper molecular descriptors provides a successful sample which can be used as a general strategy in QSAR modelling. The rescoring used in this work presents an alternative useful treatment for ranking and selection.
On-farm diversity of Enset (Ensete ventricosum(Welw) cheesman) Landraces, Use, Management practice and Associated Indigenous knowledge.
Authors: Teshome Mikias , Awulachew Mengistu 
Published: September 2023

Abstract
Ensete ventricosum (Welw.) Cheesman) is a widely cultivated food crop in southern parts of Ethiopia. This highly valuable crop is only domesticated in Ethiopia and adapted to the high altitude areas, of Ethiopia. The overall objective of this study is to document the diversity of enset (Ensete ventricosum) landraces and associated indigenous knowledge of farmer's selected sites in the Kefa Zone (Gesha, Saylem, Decha, and Adiyo) district in southwestern Ethiopia. In the study data on enset landraces and farmers' indigenous methods of naming, classification, and identification of landraces were gathered using semi-structured interviews, field observation, and focus group discussion. The selections of study districts were made purposefully uniform method based on their agroecology and accessibility; three kebeles were made from each district bringing the total number of sampled households to 120. In the study a total of 76 enset landraces were recorded from households survey and among these, landraces locally called Bejo, Shelako, Nobo, Boco, Gushiro, Yeko, Menjio, and Adyio were found to be the most dominant, widely distributed and highly preferred landraces in the area. In the study, the highest number of landraces,48 were recorded from Adyio districts, and the least number of landraces 32 was recorded from Gesha districts with the relative, Simpson’s Diversity index values ranging between 0.96 (Saylem) to 0.98 (Adyio) while H′ ranged between 0.91(Gesha) to1.94 in Adyio. On the other hand, Sorenson’s similarity index value indicated the existence of high similarity between the Sylem and Decha districts, and the least similarity value was obtained between Adyio and Decha. For identification of different enset landraces farmers used morphological descriptors such as leaf color, pseudo stem color, midrib color, Plant size, and circumference of the Plant. Although there is a high diversity of enset landraces in the area, the production and productivity of the crop are reported to be under significant stress due to various environmental problems such as bacterial wilt and animal pests. Thus, there is a need for a multidisciplinary approach to resolve the problems, maintain the diversity of enset landraces, and ensure the long-term sustainability of the system.
Reduction of Nitrobenzene by Four Sulfide Minerals: Kinetics, Products, and Solubility
Authors: Yu Y. Shane , Bailey George W. 
Published: September 2023

AbstractNitrobenzene was used as a molecular probe to study electron donor properties of four sulfide minerals. Nitrobenzene was selected as a probe because its reaction in aqueous systems has been well characterized. Suspensions of the four minerals were reacted with nitrobenzene under anaerobic conditions for various time periods. Nitrobenzene and its reaction products in both the solution and the solid phase were analyzed by liquid chromatography and UV‐visible spectroscopy. The observed half‐lives of nitrobenzene are 7.5, 40, 105, and 360 h, respectively, for reaction with sodium sulfide (Na2S), alabandite (MnS), sphalerite (ZnS), and molybdenite (MoS2) under anaerobic conditions, at a 0.24 mol L−1 water‐mineral mixture concentration. The log plot of calculated sulfide ion concentration of minerals vs. reaction halflife shows a linear relationship. Nitrobenzene reduction by sulfide minerals is a solution phenomena. The sulfide mineral dissolution rate and its solubility, however, influence the reduction rate.
Assessment of Spatial Variation of Cesium‐137 in Small Catchments
Authors: van der Perk Marcel , Slávik Ondrej , Fulajtár Emil 
Published: September 2023

ABSTRACTSurface contamination by bomb‐derived and Chernobyl‐derived 137Cs has been subject to changes due to physical decay and lateral transport of contaminated soil particles, which have resulted in an ongoing transfer of radionuclides from terrestrial ecosystems to surface water, river bed sediments, and flood plains. Knowledge of the different sources of spatial variation of 137Cs is particularly essential for estimating 137Cs transfer to fluvial systems and for successfully applying 137Cs as an environmental tracer in soil erosion studies. This study combined a straightforward sediment redistribution model and geostatistical interpolation of point samples of 137Cs activities in soil to distinguish the effects of sediment erosion and deposition from other sources of variation in 137Cs in the small Mochovce catchment in Slovakia. These other sources of variation could then be interpreted. Besides erosion and deposition processes, the initial pattern of 137Cs deposition, floodplain sedimentation, and short‐range spatial variation were identified as the major sources of spatial variation of the 137Cs inventory.
Plant Nutrient Issues for Sustainable Land Application
Authors: Pierzynski Gary M. , Gehl Katherine A. 
Published: September 2023

ABSTRACTInterest in plant nutrient issues for sustainable land application of residuals is increasingly driven by environmental concerns. The indicators of concern are P and N in surface waters, nitrate leaching, and emissions of ammonia and greenhouse gases. Federal regulations require residual application rates to be on a N basis at most, and on a P basis when risk of P loss in surface runoff is high. Modeling of mineralization offers the potential for more accurate determinations of potentially available nitrogen (PAN) and quick tests could allow the determination of PAN on residuals immediately before land application. Methods for reducing ammonia emissions from livestock operations and new techniques for quantifying emissions under field conditions are being developed. Calibration and validation of P loss assessment tools is an ongoing concern and the interpretation of edge of field P losses warrants further attention. The solubility of P in residuals and soils can be influenced by various amendments or treatment processes. High available P grains or phytase enzyme supplementation can reduce total and soluble P in animal manures by reducing the need for diet supplementation with inorganic P. The use of synchrotron‐based X‐ray absorption spectroscopy has identified chemical forms of inorganic P. Considerable progress has been made addressing plant nutrient issues for sustainable land application and interest in this topic will remain strong into the foreseeable future.
Radioactive Materials in Biosolids: National Survey, Dose Modeling, and Publicly Owned Treatment Works (POTW) Guidance
Authors: Bastian R. K. , Bachmaier J. T. , Schmidt D. W. , Salomon S. N. , Jones A. , Chiu W. A. , Setlow L. W. , Wolbarst A. B. , Yu C. , Goodman J. , Lenhart T. 
Published: September 2023

ABSTRACTThe Nuclear Regulatory Commission (NRC) announced the availability of three new documents concerning radioactive materials in sewage sludge and ash from publicly owned treatment works (POTW). One of the documents is a report presenting the results of a volunteer survey of sewage sludge and ash samples provided by 313 POTWs. The second document is a dose modeling document, using multiple exposure pathway modeling focused on a series of generic scenarios, to track possible exposure of POTW workers and members of the general public to radioactivity from the sewage sludge or ash. The third document is a guidance report providing recommendations on the management of radioactivity in sewage sludge and ash for POTW owners and operators. This paper explains how radioactive materials enter POTWs, provides criteria for evaluating levels of radioactive material in sludge and ash, and gives a summary of the results of the survey and dose modeling efforts.
Methane Oxidation in Slurry Storage Surface Crusts
Authors: Petersen S⊘ren O. , Amon Barbara , Gattinger Andreas 
Published: September 2023

ABSTRACTLivestock manure is a significant source of atmospheric methane (CH4), especially during liquid storage. In liquid manure (slurry) storages a surface crust may form naturally, or an artificial surface crust can be established. We investigated whether there is a potential for CH4oxidation in this environment. Surface crust materials were sampled from experimental storages with cattle slurry (with natural crust) or anaerobically digested cattle slurry (with straw layer) that had been stored with or without a wooden cover. Extracts of surface crust material were incubated with 5.6% CH4in the headspace, and methanotrophic activity was demonstrated in all four treatments following a 4‐ to 10‐d lag phase. Subsequent incubation of field‐moist surface crust material with 350 μL L−1CH4also showed CH4oxidation, indicating a potential for CH4removal under practical storage conditions. There was no CH4oxidation activity during incubation of autoclaved samples. Methane oxidation rates were 0.1 to 0.5 mg kg−1organic matter (OM) h−1, which is comparable with the activity in wetlands and rice paddies. Partial drying increased CH4oxidation to 0.2 to 1.4 mg kg−1OM h−1, probably as a result of improved diffusivity within the surface crust. Rewetting reversed the stimulation of methanotrophic activity in some treatments, but not in others, possibly due to a decline in CH4production in anaerobic volumes, or to growth of methanotrophs during incubation. This study presents direct evidence for methanotrophic activity in slurry storages. Measures to ensure crust formation with or without a solid cover appear to be a cost‐effective greenhouse gas mitigation option.