bluuebunny/crossref_metadata_2025_split huggingface dataset:
Geochemical behavior of Rare Earth Elements (REE) in urban reservoirs: the case of Funil Reservoir, Rio de Janeiro State, Brazil
Authors: Neves Joanna Maria da Cunha de Oliveira Santos , Patchineelam Sambasiva Rao , Araujo Daniel Ferreira , Godoy José Marcos Oliveira , Almeida Ana Cristina 
Published: February 2023

Abstract
Rare earth elements (REE) have unique chemical properties, which allow their use as geochemical tracers. In this context, the present study aims to assess the role of Funil Reservoir on REE biogeochemical behavior. We collected water samples upstream of the reservoir (P-01) in the city of Queluz, inside the reservoir (P-02) and downstream of Funil Reservoir (P-03) in the city of Itatiaia, RJ. In the field, physicochemical parameters were measured using a probe (pH, temperature, electrical conductivity, and dissolved oxygen). In the laboratory, water samples were filtered (0,45 µm) and properly packed until chemical analysis. Chlorophyll a concentrations were determined by a spectrophotometric method and suspended particulate matter (SPM) by a gravimetric method. Ionic concentrations were determined by ion chromatography technique and REE concentrations were determined by ICP-MS. Chlorophyll a concentrations were higher in Funil Reservoir. Ionic concentrations in Queluz (P-01) suggest anthropic contamination. The sum of REE in the dissolved fraction ranged from 2.12 to 12.22 µg L− 1. A positive anomaly of La in Queluz indicates anthropic contamination. The observed patterns indicate that Funil Reservoir acts as a biogeochemical barrier, modifying the fluvial transport of REE. Nonetheless, another factor that probably influences REE behavior is the algal bloom that occurs in reservoirs during the rainy season. The seasonal behavior of algae can influence REE biogeochemistry through the incorporation and release of trace metals.
Genetic Deletion of cyclooxygenase-1 ameliorates neuroinflammation and cognitive impairment in 5×FAD mice
Authors: Wang Jie , Ni Hong , Wei luyao , Ding Hanqing , Guo Zhongzhao , Yu Ying , Luo Jia , Ke Zun-Ji 
Published: February 2023

AbstractBackground:Neuroinflammation is one of the most important contributing factors for the pathogenesis of Alzheimer’s disease (AD). Cyclooxygenase-1 (COX-1) is distinctly expressed in microglia and involved in microglia activation and neuroinflammation in the AD. However, the molecular mechanisms by which COX-1 regulated microglia activation and participated in AD progression remains unclear. This study was designed to investigate the cellular and molecular mechanisms underlying COX-1 regulation of neuroinflammation.Methods:C57BL/6J, 5×FAD and 5×FAD/COX-1 knockout (KO) mice of different ages (e.g. 3-month-old, 6-month-old, 9-month-old) were used. Motor function and cognitive ability were evaluated using the open field test, novel-object recognition test and Morris water maze tests. The deposition of amyloid beta (Aβ) was examined by Thioflavin-S fluorescence, and neuroinflammation was investigated by immunohistochemistry, immunofluorescence and immunoblotting.Results:Konock out (KO) of COX-1 improved cognitive impairment and motor deficits, and reduced the accumulation of Aβ plaques in the cerebral cortex and hippocampus. COX-1 KO promoted microglia transition from M1 to M2 status, and reduced NOD-, LRR- and pyrin domain-containing 3 (NLRP3) inflammasome. This was mediated by the inhibition of prostaglandin E2(PGE2)/EP2 pathway and cyclic adenosine monophosphate (cAMP)-protein kinase A (PKA)-nuclear factor-κB (NFκB) p65 axis.Conclusions:COX-1 may contribute to the impairment of clearance Aβ and exacerbation of neuroinflammation which led to cognitive deficits in 5×FAD transgenic mice. The effects of COX-1 were mediated through PGE2/EP2 pathway which activated cAMP-PKA-NFκB p65 axis and NLRP3 inflammasome. The results suggest that the inhibition of COX-1 may be a potential pharmacological approach for the treatment of AD.
HAUS5 is a novel prognostic biomarker for hepatocellular carcinoma that is associated with poor clinical outcomes
Authors: liu yonggang , Liang Jiyun , Li Xi , Huang Junyong , Huang Jiangyuan , Wang Jiale 
Published: February 2023

Abstract
Background
The Augmin Like Complex Subunit 5 (HAUS5) is involved in microtubule generation and centrosome assembly. Loss of HAUS5 function leads to loss of centrosome integrity, ultimately promoting tumor formation by causing functional defects and chromosome dislocation in the bipolar spindle. However, the role of HAUS5 in the development and progression of hepatocellular carcinoma (HCC) remains unclear.
Methods and results
This research dealt with investigating the role of HAUS5 in HCC and reported that HAUS5 is over-expressed in HCC tissues and cells. It was also found that its high expression levels were a crucial risk factor that affected HCC patients’ survival status. Correlation analysis depicted that HAUS5 expression was linked to immune infiltration in HCC. A nomogram model with good predictive capability with an area under the curve (AUC) value of 0.969 was constructed by integrating the clinical features of HCC and HAUS5 expression levels. HAUS5 knockdown remarkably attenuated the migration abilities and invasiveness of HCC cells.
Conclusion
HAUS5 is over-expressed in HCC tissues and could be used as a novel prognostic biomarker for patients with HCC.
Knowledge and Practices of Exclusive Breastfeeding among Rural Women during the COVID-19 Pandemic: A Cross Sectional Study
Authors: El-Gamel Noura Gomaa Fawzy , El-Nemer Amina Mohamed Rashad 
Published: February 2023

Abstract
Background
Worldwide exclusive breastfeeding is still recommended as a successful strategy even during COVID − 19 pandemic to lower infant morbidity and mortality. This study aimed to assess the knowledge and practices of exclusive breastfeeding among rural women during COVID-19 pandemic.
Methods
A descriptive Cross-sectional study was conducted at EL-Morabeen Family Medicine Center, in rural Damietta, Egypt among 178 lactating women who were chosen by purposive sample. A developed structured questionnaire consisting of four parts was used for gathering data between March to May 2022 to assess knowledge and practices during the COVID-19 pandemic. Univariate analysis for descriptive data and bivariate analysis through the Chi-square test were performed.
Results
The current study revealed that 73% of the studied rural women didn’t receive any breastfeeding counselling during antenatal visits. Only 15.2% of them breastfeed their infant exclusively for 6 months while 88.2% of mothers delayed breastfeeding initiation after delivery and 48.3% administered the pre-lacteal feeds. 98.3% of rural women had never made skin to skin contact. Additionally, a statistically significant association between good knowledge, practices with highly educated women aged from 26–30 years, with family income of 4000–6000 L.E was found. Furthermore, only 26.4% and 26.1% respectively of rural women had good knowledge and practice score.
Conclusion
Suboptimal breastfeeding practices as delayed onset of breastfeeding, low percentages of exclusivity, early weaning, pre-lacteal feeding administration, and lack of skin-to-skin contact were prevalent among the studied rural mothers. Breastfeeding counselling for all pregnant women and implementation of evidence-based practices in health care system as early initiation of breastfeeding and skin-to-skin contact are recommended.
A pan-cancer analysis of Dyskeratosis congenita 1 (DKC1) as a prognostic biomarker
Authors: Liu Xin-ying , Tan Qing , li linxiao 
Published: February 2023

Abstract
Background
Dyskeratosis congenita 1 (DKC1), a critical component of telomerase complex, is highly expressed in a variety of human cancers. However, the association of DKC1 with cancer occurrence and development stages is unclear, thus the pan-cancer analysis appears essential.
Methods
Though bioinformatic databases including TIMER, GEPIA, UALCAN and KM plotter Analysis, we studied the different expression of DKC1 in multiple tissues and the correlation of DKC1 expression with pathological stages. The DKC1-associated genes and signaling pathways were revealed though KEGG analysis, GO enrichment analysis and Venn analysis. Moreover, we preformed the CCK, wound healing assay, cell cycle arrest assay, transwell assay and Sa-β-gal staining in DKC1-deleted MDA-231 cells.
Results
Our study shows that DKC1 has relatively low expression specificity in different tissues. Moreover, in ACC, KICH, KIRP and LIHC, the DKC1 expression level is correlated with the pathological stages positively. In addition, in NHSC, KIRP, LGG, LIHC, MESO and SARC, a negative influence of DKC1 expression level on overall survival rate was detected. DKC1 expression and Tumor Mutational Burn were significantly positively correlated in 14 tumors. In the case of BRCA, a significantly negative influence of DKC1 DNA methylation on gene expression was found at the promoter region. We also found plenty of phosphorylation sites concentrated at the C-terminus of the DKC1 protein. With the GO analysis, DKC1 and ribosomal biosynthesis pathways are correlated, and the common element UTP14A is revealed. Moreover, decreased rates of cell proliferation, migration and invasion abilities were found in DKC1 knockout MDA-MB-231 cell lines. DKC1-knockout also arrested cell cycle and caused cell senescence.
Conclusions
The accurate expression of DKC1 is highly related with the pathological occurrence and development stages in multiple tissues. The depletion of DKC1 inhibits the proliferation, migration and invasion abilities of cancer cells by inhibiting cell cycle then causing cell senescense. This showed that DKC1 can serve as a prognostic biomarker for the diagnosis and treatment of cancer in different tissues.
Facial Emotions Detection using an Efficient Neural Architecture Search Network
Authors: Islam Usman , Mahum Rabbia , AlSalman AbdulMalik 
Published: February 2023

Abstract
Facial emotion detection is a challenging task that deals with emotion recognition. It has applications in various domains, such as behavior analysis, surveillance systems and human-computer interaction (HCI). Numerous studies have been implemented to detect emotions, including classical machine learning algorithms and advanced deep learning algorithms. For the machine learning algorithm, the hand-crafted feature needs to be extracted, which is a tiring task and requires human effort. Whereas in deep learning models, automated feature extraction is employed from samples. Therefore, in this study, we have proposed a novel and efficient deep learning model based on Neural Architecture Search Network utilizing superior artificial networks such as RNN and child networks. We performed the training utilizing the FER 2013 dataset comprising seven classes: happy, angry, neutral, sad, surprise, fear, and disgust. Furthermore, we analyzed the robustness of the proposed model on CK + datasets and comparing with existing techniques. Due to the implication of reinforcement learning in the network, most representative features are extracted from the sample network. It extracts all key features without losing the key information. Our proposed model is based on one stage classifier and performs efficient classification. Our technique outperformed the existing models attaining an accuracy of 98.14%, recall of 97.57%, and precision of 97.84%.
Retrospective analysis of prognosis of tumor patients co-infected with COVID-19
Authors: ma xiao , Yang Bing , Ma Jie 
Published: February 2023

Abstract
Objective: To evaluate the effect of inflammatory factors produced by COVID-19 on the prognosis of tumor patients, and the effect of tumors with high expression of such inflammatory factors on the prognosis of COVID-19.
Methods: Combining the GEPIA database with R language software, we analyzed the effects of IL6, TNF, IL2RA and IL10 on the survival of 33 tumors types in the TCGA database. Then we analyzed the effects of inflammatory factors secreted by tumors on the progression and prognosis of COVID-19 using the data published jointly by nine hospitals in Wuhan.
Results: 1, The inflammatory factors IL6, TNF, IL2RA and IL10 produced by COVID-19 have different effects on the prognosis of different types of tumors. IL6 is more sensitive than TNF, IL2RA and IL10 in the assessment of tumor prognosis. 2, Tumors with high expression of IL6 are more likely to progress to severe high-risk case when infected with COVID-19 (severe COVID-19 rates 68.22%, P=0.042), with multiple organ severe damage, high mortality rates(23.36%, P=0.013) and poor prognosis. Tumor patients with high expression of TNF and IL10 also have higher mortality rates after infection with COVID-19 ,which were 23.60% (P= 0.027) and 23.28% (P = 0.007) respectively.
Conclusion: There is a sophisticated interaction between tumor and COVID-19, which IL6, TNF, IL2RA and IL10 produced by COVID-19 will affect the prognosis of tumors, while tumors with high expression of these inflammatory factors will also interfere with the prognosis of COVID-19. IL6 plays a more sensitive role in the evaluation of tumor prognosis of with COVID-19 and the prognosis of COVID-19 with tumor. Active use of IL6 antagonist therapy provides a new treatment idea for tumor patients co-infected with COVID-19.
Implications for Practice: This article supports that IL6 produced by COVID-19 has an effect on the prognosis of various tumors. At the same time, tumors with high expression of IL6 are more likely to progress to severe high-risk case when infected with COVID-19. Active use of IL6 antagonist therapy provides a new treatment idea for tumor patients co-infected with COVID-19.
Epidemiology and Clinical Features of Streptococcus Pyogenes Bloodstream Infections in Children in Spain
Authors: Cobo-Vázquez Elvira , Aguilera-Alonso David , Carbayo Tania , Figueroa-Ospina Lucía , Sanz-Santaeufemia Francisco José , Baquero-Artigao Fernando , Vázquez-Ordoñez Carmen , Carrasco-Colom Jaime , Blázquez-Gamero Daniel , Jiménez-Montero Beatriz , Grasa-Lozano Carlos , Cilleruelo Maria José , Álvarez Ana , Comín-Cabrera Cristina , Penín María , Cercenado-Mansilla Emilia , Valle Rut Del , Roa Miguel Ángel , Diego Irene García-De , Calvo Cristina , Saavedra-Lozano Jesús 
Published: February 2023

Abstract
Purpose: Studies have shown increased invasive Group A Streptococcus (GAS) disease, including bloodstream infections (GAS-BSI). However, the epidemiological data of GAS-BSI are limited in children. We aimed to describe GAS-BSI in Spanish children over 13 years (2005-2017).
Methods: Multicenter retrospective cohort study from 16 Spanish hospitals. Epidemiology, symptomatology, laboratory, treatment, and outcome of GAS-BSI in children ≤16 years were analyzed.
Results: 109 cases of GAS-SBI were included, with incidence rate of 4.3 episodes/100,000 children attended at the emergency department/year. We compared incidence between two periods (P1:2005-June 2011 vs P2:July 2011-2017) and observed a non-significant increase along the study period (APC:+6.0% [95%CI:-2.7,+15.4]; p=0.163).
Median age was 24.1 months (IQR:14.0–53.7), peaking during the first four years of life (89/109 cases;81.6%). Primary BSI (46.8%), skin and soft tissue (21.1%), and osteoarticular infections (18.3%) were the most common syndromes. We compared children with primary BSI with those with a known source and observed that the former had shorter hospital stay (7vs.13 days; p=0.003) and received intravenous antibiotics less frequently (72.5%vs.94.8%; p=0.001) and for shorter periods (10vs.21 days; p=0.001). 22% of cases required PICU admission. Factors associated with severity were respiratory distress, pneumonia, thrombocytopenia, and surgery, but in multivariate analysis, only respiratory distress remained significant (adjusted OR:9.23 [95%CI:2.16-29.41]). Two children (1.8%) died.
Conclusion: We observed a trend in increased incidence of GAS-BSI within the study period. Younger children were more frequently involved, and primary BSI was the most common and less severe syndrome. PICU admission was frequent, being respiratory distress the main risk factor.
Enhanced machine learning method for classification of rocks and structures using outlier filter
Authors: NELSON N LEO BRIGHT TENNISSON , VANATHI B , PABITHA C 
Published: February 2023

Abstract
Artificial Intelligence provide effective solution to many real time problems and challenges in the world. Real Time Analysis of rocks and structures is one of such challenges. Many situations require gaining the knowledge of rocks or building or structures. Examples where such analysis required are mining, rescue operations, sailing of ships and many more. Structure of rocks or debris or icebergs is got through advanced imaging system and sensors. If other parameter regarding the object under study is available those parameters is also used for classification along with the image. This paper introduces application of Artificial Intelligence algorithm for analyzing and predicting the structure of earth or rock.
Hsa_circ_0002198 mediated by EIF4A3 promotes the proliferation and cell cycle progression of keloid fibroblasts
Authors: Xu Zidi , Li Chang , Liu Xueyi , Zhou Yongting , Zhang Yingbo , Wang Jie , Wu Hao , Peng Yixuan , Xiao Zhibo 
Published: February 2023

AbstractBackground and Objectives Emerging evidence suggests that Circular RNAs (circRNAs) play important biological role in keloid diseases, but the underlying mechanism remains unclear. In the present study, we investigated the biological effects and molecular mechanisms of hsa_circ_0002198 in keloid formation. Methods Real-time quantitative PCR (qRT-PCR) was used to detect circ_0002198 expression in keloid tissues, normal skin tissues, keloid fibroblasts (KFs) and normal skin fibroblasts(NFs). To study the function of circ_0002198 in kelkelite, we used cell transfection technology to knock down circ_0002198. Cell counting kit-8༈CCK-8༉, 5-Ethynyl-2’-deoxyuridine༈EdU༉, Transwell, wound healing assay, flow cytometry and other experiments were used to study the potential mechanism of circ_0002198 expression. The RNA-binding protein Eukaryotic translation initiation factor 4A,isoform 3༈EIF4A3༉bound to circ_0002198 was identified and confirmed using bioinformatics database prediction and RNA immunoprecipitation ༈RIP༉assay. The expression of EIF4A3 was detected and interfered to verify the correlation between EIF4A3 and circ_0002198. Results The expression levels of circ_0002198 and EIF4A3 in keloid and KFs were significantly higher than in normal skin and NFs. Decreasing circ_0002198 expression in KFs significantly inhibits the proliferation, migration, and invasion of KFs, block the cell cycle process and expression of related proteins, and promote apoptosis in KFs. EIF4A3 can bind to the flanks of circ_0002198 and mediate the occurrence of circ_0002198, jointly regulating KF function. Conclusion Circ_0002198 regulates the proliferation, migration, invasion, and apoptosis of KFs and blocks their cell cycle process. EIF4A3 is mediated by targeted binding to circ_0002198, thus affecting the biological functions of KFs.
Transition Metal-N2P2 Embedded Graphene (TM-NPC) as Single Atoms Catalyst for Oxygen Reduction Reaction: A Computational Study
Authors: Kancharlapalli Srinivasu 
Published: February 2023

Abstract
The sluggish kinetics of the oxygen reduction reaction (ORR) is the major hurdle for the development of efficient fuel cells. Since the conventional Pt based catalysts are very expensive, development of noble metal free catalysts for accelerating the kinetics of oxygen reduction reactions is highly important. Here, we explored transition metal (Fe, Co, Ni and Cu) decorated over the nitrogen and phosphorous co-doped graphene as single atoms catalyst. Among the four metal decorated systems considered, oxygen molecule is found to bind with only Fe and Co systems. Both the Fe and Co decorated systems were systematically investigated for their activity towards the oxygen reduction reaction through the four-electron reduction path. From the free energies calculated for all the intermediate reactions of ORR, Fe-decorated system was found to have lower overpotential as compared to the Co-decorated system indicating the former one as superior catalyst for ORR.
A Participatory Scenario and Spatially Explicit Approach for Envisioning the Future scenarios of Land-Use/Land-cover Change on Ecosystem Service Provisioning to Inform Sustainable Landscape Management: The Case of Coastal Southwestern Ghana
Authors: Asante-Yeboah Evelyn , Koo HongMi , Sieber Stefan , Furst Christine 
Published: February 2023

Abstract
Land-use changes such as settlement and commercial agricultural land expansion heavily influence the sustainability of landscapes and ecosystem service (ES) provisioning. Land managers and decision-makers are becoming increasingly concerned about the consequences of land-use change and advocate for integrated approaches to landscape sustainability. Integrated landscape approaches, which incorporate stakeholder views and opinions, are less explored. Especially in sub-Saharan Africa (SSA), where most of the population relies on natural resources and agricultural land-use products, integrating stakeholder knowledge in evaluating ES and landscape sustainability remain less studied. This study applied a participatory scenario-building approach combined with a spatially explicit simulation to unravel the impact of potential future scenarios based on a business-as-usual (BAU) trajectory of the coastal landscapes in southwestern Ghana. Through workshops, the perceptions of the land-use actors on locally relevant ES, ES indicator values, and the specific simulation conditions of the major land-use change, which is the expansions in rubber plantations (out-grower scheme) and settlements, were identified. The collected local knowledge was integrated into a spatially explicit modeling platform, allowing the visualization and comparison of different scenario impacts, such as synergies or trade-offs between ES. The results presented how land-use actors' perceptions could influence the landscape capacity of ES provisioning. The results indicated risk in ES delivery and landscape sustainability challenges, hence calling for effective land-use policies to control socio-economic activities and increase diversity in land-use under sustainable landscape development.
Oxygen Evolution Behavior of La1−xSrxFeO3−δ Electrodes in LiCl−KCl Melt
Authors: Kimura Shunichi , Fukumoto Takashi , Suzuki Yuta , Goto Takuya 
Published: February 2023

Abstract
Electrochemical reduction processes of oxides in molten salt have been proposed as the carbon free technology in order to achieve carbon neutral. The anodic behavior of La1−xSrxFeO3−δ as an oxygen-evolution anode in LiCl−KCl at 723 K is investigated. Data suggests that at 723 K, the electrical conductivity of La1−xSrxFeO3−δ tends to increase as the extent of Sr doping. The anodic reactions of La1−xSrxFeO3−δ electrodes are characterized by electrochemical measurements in LiCl−KCl + Li2O at 723 K. Based on the cyclic voltammograms of the La0.7Sr0.3FeO3−δ electrode, oxygen evolution has proceeded between 2.7 V and 3.6 V. The potential of La0.7Sr0.3FeO3−δ electrode during galvanostatic electrolysis has conducted at 39 mA cm-2 for 15 h has remained stable at 2.8 V, indicating that the stable evolution of oxygen gas is monitored. The corrosion rate is estimated to have the low value of 8.6 × 10−4 g cm−2 h−1. Electrode surface data collect after electrolysis indicate that La0.7Sr0.3FeO3−δ electrode has excellent chemical and physical stability in LiCl−KCl at 723 K. Evidence thus indicates that La0.7Sr0.3FeO3−δ electrode is a promising candidate material as inert anodes for oxides decomposition. As one of application of the La0.7Sr0.3FeO3−δ electrode, the electrolysis reduction of CO2 was also successfully achieved.