bluuebunny/crossref_metadata_2025_split huggingface dataset:
A prognostic cuproptosis gene signature predicts immune function and chemotherapy response in gliomas
Authors: He Yi , Zhang Sen , Zhang Xingshu , Zhang Yi , Xie Bo , Zhang Junjie , Long Wenyong , Liu Qing 
Published: October 2022

Abstract
Background: Cuproptosis is a novel programmed cell death mechanism involved in tumor development and progression. We aimed to identify the prognosis-related cuproptosis gene signature in gliomasand to investigate its association with immunotherapy response.
Methods: Glioma transcriptome, clinical, and single-nucleotide mutation data were obtained from the TCGA database. Univariate, LASSO, and multivariate Cox regression analyses were used for prognostic signature construction. Survival analysis, ROC curve analysis, Cox regression analysis, and nomograms were utilized to evaluate model accuracy. GO and KEGG enrichment analyses of differentially expressed genes between the risk groups were used to explore potential mechanisms of action. Prognostic lncRNAs that were co-expressed with risk signature genes were also identified. The CIBERSORT, ssGSEA, GSVA, and ESTIMATE algorithms were employed to assess associations between the risk score and variations in the tumor microenvironment, immune cell infiltration, immune checkpoints, and immune responses. Maftools and pRRophetic were used to predict tumor mutation burden and drug sensitivity.
Results: A nine-cuproptosis-gene signature was identified and used to construct a prognostic risk model with excellent prognostic value for glioma patients. Functional enrichment implied variations in immune pathways and metallopeptidase activity between risk groups. The high-risk group exhibited a higher immune score but lower tumor purity. Additionally, the high-risk group exhibited increased macrophage infiltration, immune function score, immune checkpoint gene expression, and tumor mutation burden. Finally, we screened for drug sensitivity among the different risk groups.
Conclusion: The novel prognostic signature of cuproptosis genes could aid in risk stratification, immunotherapy response prediction, and individualized treatment strategies for glioma patients.
Seasonal cropland transformation and long-term surveillance of land-use/land cover alterations in the Indian Sundarban region
Authors: . Sabir Hossain Molla , . Rukhsana 
Published: October 2022

Abstract
In the Indian Sundarban region, the current study investigates the long-term dynamics of seasonal (Kharif and rabi) land use/land cover change and spatial change of seasonal croplands. Based on the Random Forest (RF) classifier, LULC classes has divided into eight categories. Cropland's spatial and temporal dynamicity has been generated using Land Change Modeler in TerrSet throughout the past 20 years (2000/01-2020/2021). With the aid of a confusion matrix, classification accuracy has been tested and shown to be quite acceptable and effective in identifying the long-term land-use change in the study area. It has been discovered that during the Kharif seasons (November 2000 to November 2020), waterlogged, built-up, and cropland expanded by approximately 57% (99.14 km2), 23% (126.06 km2), and 2% (29.90 km2), respectively, at the expense of current fallow, vegetation, and mudflats, which decreased by roughly 28% (81.9 km2), 11% (78.68 km2), and 10% (60.14 km2), respectively. Croplands and current fallows were the most dynamic land changes throughout the Rabi season (February 2001 to February 2021), increasing by about 102% (522.28 km), while the area now in fallow steadily decreased by about 56% (991.23 km) between 2001 and 2021. The analysis of cropland changes reveals that the most changes in cropland have been recorded in the populated area's central, northern, and northeastern regions. The results of this study will help develop agricultural and environmental management methods to ensure the sustainability of the ecosystem and agriculture resources.
Impacts of Sub-Lethal concentrations of Two Macrocyclic Lactone Insecticides on Nurse Bees (Apis Mellifera L.) Hypopharyngeal Glands Development
Authors: Omar Eslam M. , Abdu_Allah Gamal , Tawfik Aamer 
Published: October 2022

Abstract
Recent studies have shown negative sublethal effects of the microbial bioinsecticides, spinosad (Spd) and spinetoram (Spm) on honeybees concern behavioral effects; only a few concern physiological effects. Therefore, under laboratory conditions we investigated sublethal effects of Spd and Spm on food consumption, the hypopharyngeal glands (HPG) development and activity in nursing honeybee workers. We introduced newly emerged worker honeybees into cages and provided sugar solution and pollen dough ad libitum. Insecticides (Spd and Spm) were administered in sugar solution. The present results showed that continuous exposure to Spd during the first 10 days of adult life in honeybees negatively affects the rate of pollen consumption, HPG development and activity. On the other hand, Spm treatment displayed only negative effect on HPG activity. Therefore, special attention needs to be paid to sublethal effects of some microbial bioinsecticides on honeybee. Overall, data indicate that the microbial bioinsecticides (Spd and Spm) should not be exempted from risk assessment analysis due to their lethal and sublethal components.
Current Developments of Selective Internal Radiotherapy (SIRT) in Germany: A Systematic Analysis of Indication and Hospital Mortality between 2012 and 2019
Authors: Mertens Alexander , Essing Tobias , Minko Peter , Möllenhoff Kathrin , Mattes-György Katalin , Giesel Frederik L. , Antoch Gerald , Luedde Tom , Roderburg Christoph , Loosen Sven H. 
Published: October 2022

Abstract
Background

Selective Internal Radiotherapy (SIRT) is a minimal invasive tumor therapy for hepatocellular carcinoma (HCC), biliary tract cancer (BTC), and liver metastasis of extrahepatic tumors. Comprehensive data on past and current trends of SIRT as well as outcome parameters such as in-hospital mortality and adverse events in Germany are missing.

Methods

We evaluated current clinical developments and outcomes of SIRT in Germany based on standardized hospital discharge data, provided by the German Federal Statistical Office from 2012 to 2019.

Results

A total of 11,014 SIRT procedures were included in the analysis. Reflecting the current guideline, the most common indication was hepatic metastases (54.3%; HCC: 39.7%; BTC: 6%) with a trend in favor of HCC and BTC over time. Most SIRTs were performed with yttrium-90 (99.6%) but the proportion of holmium-166 SIRTs increased in recent years. Mean length of hospital stay for ⁹⁰Y based SIRTs was 3.67 ± 2 days and for 166Ho based SIRTs 2.9 ± 1.3 days. Overall in-hospital mortality was 0.14%. The mean number of SIRTs/hospital was 22.9 (SD ± 30.4). The 20 highest case volume centers performed 25.6% of all SIRTs.

Conclusion

Our study gives a detailed insight into indications, patient-related factors, and the incidence of adverse events as well as the overall in-hospital mortality in a large SIRT collective in Germany. SIRT is a safe procedure with low overall in-hospital mortality and a well-definable spectrum of adverse events. We report differences in the regional distribution of performed SIRTs and changes in the indications and used radiopharmaceuticals over the years.
Expression profile of sphingosine kinase 1 isoforms in human cancer tissues and cells: importance and clinical relevance of the neglected 1b-isoform
Authors: Chen Hongjie , Haddadi Nahal , Zhu Xiaofeng , Hatoum Diana , Nassif Najah T , Chen Size , Lin Yiguang , McGowan Eileen M 
Published: October 2022

Abstract
Introduction: Overexpression of sphingosine kinase 1 (SphK1) is casually associated with many types of cancer and inhibitors of SphK1 sensitize tumors to chemotherapy. SphK1 is expressed as two major isoforms, SphK1a and SphK1b. To date, no information has been reported on the SphK1 isoform expression profile and its clinical relevance. The purpose of this study was to examine the expression profile of the SphK1a and SPhK1b isoforms in human cancer and noncancer tissues and cell lines and to explore its clinical relevance.
Methods: We used PCR to qualitatively examine the expression profile of these two isoforms in breast, liver, and prostate cancer tissues plus paired adjacent tissues, and in 11 cancer and normal cell lines (breast, cervical, bone, prostate, colon, brain, and mesothelioma tumors and benign and human kidney cells).
Results: We found that SphK1a was ubiquitously expressed in all cancer cells and tissues tested; in contrast, SphK1b was only expressed in selective cell types in breast, prostate, and lung cancer.
Conclusion: Our data suggest that SphK1a is important for generic SphK1/S1P functions and SphK1b mediates specialized and / or unique pathways in a specific type of tissues and could be a biomarker of cancer. This discovery is important for future SphK1-related cancer research and may have clinical implications in drug development associated with SphK1-directed cancer treatment.
PD-L1/PD-L2 deficiency alters numbers and types of microglia and transcriptomic landscape of neural retina
Authors: Sheng Siqi , Ma Yixian , Zou Yue , Hu Fangyuan , Chen Ling 
Published: October 2022

Abstract
Background
To investigate the effects of PD-1 ligands signaling pathway on microglia and transcriptomic expression and function of neural retina.
Methods
PD-L1/PD-L2 deficient mice were generated by Cyagen Biosciences Inc. (Suzhou, China). We performed quantitative and qualitative analyses of retinal microglia using mouse retinal western blotting and immunofluorescence experiments. The transcriptomic sequencing of neural retina was performed and analyzed by OE Biotech Co. Ltd. (Shanghai, China). The morphology of neural retina in PD-L1/PD-L2 deficient mice was evaluated using haematoxylin and eosin (HE) staining and in vivo optical coherence tomography (OCT). The visual evoked potential (VEP) test and measuring the photo negative response (PhNR) test assist in approaching changes in visual function in mice.
Results
PD-L1/PD-L2 deficiency decreased the total number of retinal microglia in neural retina. The activated microglia (M2 microglia) was increased in PD-L1/PD-L2 deficient mice, accompanied by increased STAT6 pathway activation. Transcriptome sequencing and analysis revealed the activation of the PI3K-Akt and MAPK signalling pathways in neural retina of PD-L1/PD-L2 knockout mice. The PD-L1/PD-L2 deficiency did not impact on the morphology and visual function of the neural retina.
Conclusions
PD-L1/PD-L2 deficiency alters numbers and types of microglia and transcriptomic landscape of neural retina.
Role of ST2 as a predictor of post-liver transplant renal outcomes
Authors: Moon Jong Joo , Hong Suk Kyun , Kim Yong Chul , Hong Su young , choi YoungRok , Yi Nam-Joon , Lee Kwang-Woong , Han Seung Seok , Lee Hajeong , Kim Dong Ki , Kim Yon Su , Yang Seung Hee , Suh Kyung-Suk 
Published: October 2022

Abstract
Acute kidney injury (AKI) is considered an independent prognostic factor for mortality in patients with liver cirrhosis. Non-treated AKI can progress to hepatorenal syndrome (HRS) with a poor prognosis. The suppression of tumorigenicity 2 protein (ST2) is a member of the IL-1 receptor family that aggravates inflammation and fibrotic changes in multiple organs. We measured soluble ST2 (sST2) levels in serum and urine derived from LT recipients at the time of LT. Significantly increased serum sST2 levels were observed in LT recipients with suppressed kidney function compared to recipients with normal function. In recipients with severely decreased liver function (MELD score ≥ 30), the serum sST2 level was higher than that in recipients with preserved liver function (MELD score ≤ 20, P = 0.028). Serum samples from recipients with HRS showed higher sST2 concentrations than those from non-HRS LT recipients (P = 0.003). Among HRS patients, higher serum sST2 levels were observed compared to recipients without a history of AKI (P = 0.004). Recipients with HRS and recovered kidney function showed higher sST2 concentrations than those without recovery (P = 0.034). Collectively, the increased serum sST2 levels reflected both kidney and liver function. Measuring sST2 levels at the time of LT can help predict renal outcomes.
Smart Mobile Data Collectors to Enhance quality of service in Wireless Sensor Networks
Authors: Gantassi Rahma , Masood Zaki , Choi Yonghoon 
Published: October 2022

Abstract
This paper proposes a new intelligent mobile data collector (MDC) using the traveling salesman problem (TSP) in order to find the optimal path traversed by the MDC for efficiency of energy and quality of service (QoS). Specifically, our proposed MDC-TSP protocol uses K-Means and grid clustering algorithm to reduce the consumption of energy during the cluster head (CH) election step. Furthermore, MDC is used as an interface between CH and sink to improve Wireless Sensor Network (WSN) QoS to enhance the MDC-K protocol transmission phase. Experimental results show that MDC-TSP improves on various improvements of the low energy adaptive clustering (LEACH) protocol like MDC-K.
Regression Model and Method Settings for Air Pollution Status Analysis based on Air Quality Data in Beijing (2017-2021)
Authors: Wa Shiyun , Lu Xinai , Wang Minjuan 
Published: October 2022

Abstract

Regression analysis is an essential tool for modeling and analyzing data, which can be utilized in various areas for predictive analysis and discovering relationships between variables. However, guidelines such as the model's features, dataset selection, and method settings for using regression models to explore air pollution status are not detailed. This paper applied regression analysis based on air quality data in Beijing from 2017 to 2021, to study the characteristics of regression models, provide research guidance, and update the air pollution research data based on the dataset. This paper drew the latest conclusions: (1) PM2.5and NO2are positively correlated on the test set from these five years, yielding a correlation coefficient of 0.7036 by using linear regression. The respective coefficient of determination on small-scale test sets for 2017, 2019, and 2021 is much lower than those derived from a five-year dataset. Single year dataset is not befitting for linear regression analysis. (2) The polynomial regression’s coefficient of determination on the training set is higher than that of the linear regression model, which is more proper for regression analysis on a one-year dataset. (3) PM2.5and NO2concentrations are strongly positively correlated with whether the air is polluted or not, and the correlation coefficient on the test set from these five years is 0.9697. The accuracy of logistic regression in classifying air pollution status based on these two pollutants’ concentrations reaches 0.9430. Besides, this paper proposed some appropriate parameter settings for the logistic regression method provided by Python third-party-library sklearn. Specifically, L2-type regularization is better optimized for the 2017-2021 dataset. L1-type regularization works better when applying a one-year dataset. A boost in the inverse of the regularization strength to 1.8 will optimize the regularization.
Distribution and differences of soil mercury and methylmercury affected by coal mining activities
Authors: Chen Yeyu , Zheng Liugen , Liu Sikui , Yu Lajun , Chen Xing , Li Chang , Cheng Hua 
Published: October 2022

Abstract
In some coal mining areas, the soil will gradually sink and collapse due to underground gouging and form water areas with rainfall, and the mercury and methylmercury accumulated in the soil will enter the water environment and become potential mercury pollutants source. Therefore, in order to understand the temporal and spatial distribution characteristics of mercury in soil under the influence of coal mining activities, total mercury and methylmercury in the soil of subsidence areas located in Huainan, China with different subsidence years were collected and tested. The results show that longer the subsidence years in the soils of different mining areas, lower the methylmercury and mercury methylation rate. In the same mining area, the methylmercury and mercury methylation in the soil will slowly increase with the subsidence time. The total mercury and methylmercury in cultivated soil around the mining area are only close to half of the uncultivated topsoil. The total mercury in farmland soil is mainly concentrated in the topsoil. At the same time, the total mercury continues to decrease with the increase of soil depth. The methylmercury in different farmland soils has a similar trend of methylmercury with the increase of depth, and all peak at the same depth. We find that the main reason is that soil subsidence affects the distribution of soil particle size in depth and then affects the internal structure of soil. This research can provide reference materials for future research on the methylation reaction of mercury in the bottom sediments of subsidence waters.
Application of multivariate analysis techniques in the evaluation of metal content in industrialized spices
Authors: Gomes Ivaldo , Costa Vinicius , Amorim Fábio , Cerqueira Uillian Mata , Novaes Cleber , Chagas Thiago , Bezerra Marcos 
Published: October 2022

Abstract
Industrialized powdered spices are widely used by the population in food preparation, although they are associated with several health problems. This relationship between spices and health problems can be explained due to the presence of some substances used to enhance the flavor and preserve them. Therefore, it is important to evaluate the metal content in these products, allowing their characterization. In this work, six metals (Zn, Fe, Ca, Mg, Na, and K) were determined in samples of dry industrialized spices that were sprayed and sold in sachets. Flame atomic absorption (FAAS) and emission (FAES) spectrometry were used to quantify the metals in the digestate obtained after the decomposition of the samples in a digester block. The following concentration ranges were found for the analyzed metals (mg Kg− 1): Zn (< LQ-15.53), Fe (10.82–205.3), Ca (27.45–1842), Mg (114.8–1374), Na (63739–268188) e K (1560-235864). These values were evaluated using principal component analysis (PCA) and Kohonen self-organizing maps (KSOMs) techniques. The multivariate analysis allowed the recognition of grouping trends according to the spice brands, which suggests the possibility of a base material, from which the flavors are differentiated.
Distribution characteristics and influencing factors of Haemaphysalis longicornis around goat sheds in Jinan city, East China
Authors: Wang Dong , Meng Fange , Zhang Xiao , Xin Zheng , Wei Ling 
Published: October 2022

Abstract
As one of the most important disease vectors worldwide, ticks can transmit a number of pathogenic organisms to humans and domestic animals and cause a variety of important natural focal diseases and zoonoses. Domestic livestock play a vital role in the dispersal of ticks from the field environment to the human settlement, contributing to the prevalence of tick-borne diseases. Identification of the tick control region could contribute a vital role in strategic planning and cost-effective tick control measures. However, little is known about the spatial distribution characteristics of ticks around livestock sheds, which will lead to abusage and overuse of insecticides. Therefore, this study aimed to explore spatial distribution characteristics and correlation factors of ticks around goat sheds. A total of 3898 ticks were collected from eight goat sheds from April to June in Jinan city. All the sampled ticks belonged to the same species, namely Haemaphysalis longicornis, and 88.79% of them were nymphs. A significant positive correlation was noted between free-living ticks and parasitic ticks (r = 0.411, P < 0.001). However, there was a significant negative correlation between number of free-living ticks and distance from the goat sheds (r = -0.622, P < 0.001). Within 20 m from the goat sheds, 2211 ticks were collected respectively, representing 56.72% of the total free-living ticks. At a distance of 30 m, 57.56% decline in the tick density was found with a significant difference (q = 5.534, P < 0.001). In conclusion, the environment within 20 m around the goat sheds should be a key area for tick prevention and control.
GPR35-mediated Kynurenic Acid Sensing Acts as a Defender Against Gut Microbiota Disorder in Ulcerative Colitis
Authors: Wang Di , Wang Wenbao , Bing Xue , Xu Chenguang , Qiu Jiahua , Shen Jiangang , Huang Jinwen , Li Junda , Xie Biao 
Published: October 2022

Abstract
Background: Ulcerative colitis (UC) is a recurrent inflammatory disease related to gut microbiota disorder. The metabolites and their sensors play an irreplaceable role in the communication of the gut microbes with their host. Our previous study revealed that G protein-coupled receptor 35 (GPR35) was a key guardian of kynurenic acid (KA) and a core element of the defense responses against gut damage. However, the mechanism remains unknown.
Results: In this study, a DSS-induced rat UC model was established and 16S rRNA sequencing was applied to explore the influence of GPR35-mediated KA sensing on gut microbiota homeostasis. Our results demonstrated that GPR35-mediated KA sensing was a necessary component in maintaining gut barrier integrity against UC-induced gut damage. More importantly, we provided strong evidences to support that GPR35-mediated KA sensing played a crucial role in maintaining gut microbiota homeostasis, which contributed to alleviate DSS-induced UC. Moreover, 5 classes including Actinobacteria, Beta-/Gamma-proteobacteria, Erysipelotrichi and Coriobacteriia, and 6 genera including Corynebacterium, Allobaculum, Parabacteroides, Sutterella, Shigella and Xenorhabdus were identified as the marked bacterial taxa that characterized the progression and outcome of UC and regulated by GPR35-mediated KA sensing.
Conclusion: Our findings highlight that GPR35-mediated KA sensing is an essential defense mechanism against the disorder of gut microbiota in UC. The results provide a profound insight in the key role of specific metabolites and their monitor in maintaining gut homeostasis.
Temperature dependence of the acentric factor of normal hydrogen, orthohydrogen and parahydrogen
Authors: A Ramesh , R Balasubramanian 
Published: October 2022

Abstract
Temperature-dependence correlations of vapor pressure and acentric factor for normalhydrogen(n-H2), orthohydrogen(o-H2) and parahydrogen(p-H2), have been formulated. The obtained correlations are statistically excellent. The characteristic parameters such as the Pitzer’s acentric factor, Riedel’s parameter, Filippov’s parameter have been determined for n-H2, o-H2 and p-H2. And, the curvatures of vapor pressure curve for n-H2, o-H2 and p-H2 have been determined in a wide range of temperature. It is found that the curvatures of vapor pressure curve for n-H2, o-H2 and p-H2 have a maximum at about 17.11K, 17.12K and 17.00K, respectively.
Effect of Cold Metal Transfer-Based Wire Arc Additive Manufacturing parameters on geometry and machining allowance
Authors: Belhadj Mohamed , Kromer Robin , Werda Sana , Darnis Philippe 
Published: October 2022

Abstract
Wire Arc Additive Manufacturing is a process with great potential and in full expansion for structural, maintenance and large-scale product development. It is gaining interest due to its low buy-to-fly ratio. Nevertheless, its major flaw is the low geometric accuracy and the wavy surfaces of the printed parts. To ensure that the requirements of the final part are respected, the dimensions and the minimum quantity of material to be machined have to be specified. Thus, Machining allowance and part dimensions are elements that were quantified based on a Design Of Experiments (DOE) and thermal analysis. It was used to determine the effects of Cold Metal Transfer (CMT) parameters on them. For instance, it was found that, travel speed and interpass time have a major influence on height, width and machining allowance. Specific way to achieve the desired requirements is discussed.