bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of a decision-support tool for part orientation in EBM additive manufacturing
Authors: Mechekour El-Haddi , Vignat Frédéric , Grandvallet Christelle , Pourroy Franck , Marin Philippe René , Pailhes Jérôme , Mbow Mouhamadou Mansour , Prudhomme Guy 
Published: November 2022

Abstract

The activity of part orientation is of crucial importance in terms of impact on the quality of parts in powder bed additive manufacturing. To support the decision-making of Computer Aided Manufacturing (CAM) operators, several knowledge and software models are proposed. Even if they seem to help operators in orientation process, their operational effectiveness still needs to be scientifically assessed. This paper proposes to evaluate the efficiency of a part orientation software in assisting CAM engineers in part orientation choice. The related software is based on the mathematization of action rules issued from a knowledge model. The knowledge involved to carry out the orientation activity is analyzed based on the users’ expertise. To do this, an empirical approach based on a case study is made with participants of different levels of skills. Several design scenarios including various part typologies to be oriented are submitted to engineers, before their manufacturing with Electron Beam Melting (EBM) technology. Two means of orientation are thus used for comparison, namely a manual orientation and a computer-aided orientation software. Based on the orientation results, an analysis of the software usage is undertaken. As an underlying result of our study, we have come up with an evaluation approach that can be reused in other contexts and with other software.
Serum Gasdermin-D and CHB-Related biochemical indicators as potential biomarkers for predicting the natural phases of Chronic HBV infection
Authors: Zhou Lijing , Li Xiaohan , Shi Jing , Hu Qin , Zhou Xiaolan , Gan Delu , Zhang Lijun , Chen Weixian , Li Pu 
Published: November 2022

Abstract
Background: The adequate understanding and definition of chronic HBV (CHB) infection nature history remain vitally crucial to precisely antiviral treatment selection and prognosis evaluation. The existing biomarkers are insufficient to discriminate one from the complicated CHB nature phases immediately. Gasdermin-D, the pyroptosis executioner, was illustrated to mediate hepatocyte pyroptosis and participate in chronic HBV infection development.
Methods: The 480 CHB infection consecutive patients, other chronic liver patients and HBV-infected cell platforms were enrolled in this project. GSDMD was calculated by Sandwich ELISA kits. CHB-related biochemical indicators SOD and LDH were measured by chemiluminescent immunoassay. The viral biomarkers were detected by immunofluorescence, western blot and real-time PCR. The correlation analysis, random forest analysis and receiver operating characteristic (ROC) curve were conducted to evaluate their value as biomarkers for predicting the CHB nature phases.
Results: The prominent elevation of GSDMD was observed in CHB infection patients among other chronic liver diseases, and basically along with the progress of CHB infection nature course, as well as in vitro. The SOD and LDH also had significant differences in the four phases of CHB infection. Random forest analysis found GSDMD was the most associated variable in predicting CHB natural course, rather than SOD and LDH. The ROC analysis illustrated serum GSDMD as a single marker had the highest value in predicting HBeAg negative phases with an AUC of 0.772. The combination of serum GSDMD, SOD and LDH had the highest predictive values both in HBeAg positive and negative phases, with the AUCs of 0.875 and 0.887 respectively.
Conclusions: Serum GSDMD had greater predictive performance in assessing HBeAg-negative CHB infection which may be related to the pyroptosis of HBV-infection hepatocytes. The combination of serum GSDMD, SOD and LDH may become novel potential biomarkers for auxiliary definitions of the natural course of CHB infection.
Sustainability Status Analysis and Strategy Development for Common Carp (Cyprinus carpio L.) Hatchery Industry in Ciparay District, West Java, Indonesia
Authors: Rizkita Meidina , Rosmiati Mia , Suantika Gede , Sitomorang Magdalena Lenny , Pratama Made Dendy , Rosefa Syafira 
Published: November 2022

Abstract

This study aimed to determine the sustainability status of the common carp hatchery operations in Ciparay, West Java, Indonesia, from ecological, economic, social, and technological aspects, and formulate strategies to improve the sustainability status of the operation. Data used in this study were collected through questionnaires, observation, and literature review. The data were analyzed using Rapid Appraisal for Fisheries (RAPFISH) to determine the sustainability status. Furthermore, the result was used to formulate the development strategies using SWOT analysis. Lastly, the prioritized strategy is chosen through QSPM analysis. The study showed that the sustainability status of common carp hatchery businesses in Ciparay from ecological and economic aspects was classified as less sustainable, while the social and technological aspects were considered adequately sustainable. Eight alternative development strategies formulated in this study. The prioritized strategy to improve the sustainability status was creating a farmer group association to expand cultivation and market information exchange.
Large contributions of petrogenic and subglacial organic carbon to Arctic fjord sediments in Svalbard
Authors: Kim Dahae , Kim Jung-Hyun , Ahn Youngkyu , Jang Kwangchul , Jung Ji Young , Nam Seung-Il 
Published: November 2022

Abstract
Svalbard fjords are hotspots of organic carbon (OC) burial because of their high sedimentation rates. To identify sedimentary OC sources in Arctic fjords, we investigated surface sediments collected from eight Svalbard fjords using bulk and molecular geochemical parameters. All fjord surface sediments investigated were depleted in 14Corg (–666.9 ± 240.3‰, n = 28), suggesting that more recently fixed terrestrial and marine biomass is not the only contribution to the sedimentary OC. However, the source could not be determined by the most commonly used bulk indicators (i.e., Norg/TOC ratio and δ13Corg) in the Arctic realm. Thus, we applied a three-endmember model based on Δ14Corg and lignin phenols to disentangle the relative contributions of petrogenic, subglacial, and marine OC to the sedimentary OC pool. The fjord sediments (n = 48) comprised on average of 79.3 ± 26.1% petrogenic OC, 17.7 ± 26.2% subglacial OC, and 3.0 ± 2.5% marine OC. This three-end-member approach highlights the substantial contribution of petrogenic and subglacial OC to the present-day sedimentary OC in Svalbard fjords. Accordingly, under predicted warming worldwide, accelerated contributions of petrogenic and subglacial OC to fjords can be expected as a consequence of rapid glacier retreat, which may play an important role in the active carbon cycle as a potential CO2 source to the atmosphere.
Genetically Predicted Visceral Adipose Tissue and Risk of Nine Non-tumor Gastrointestinal Diseases: Evidence from A Mendelian Randomization Study
Authors: Sun Xingang , Yuan Yifan , Chen Lu , Ye Mei , Zheng Liangrong 
Published: November 2022

Abstract
Background
Numerous studies have linked visceral adipose tissue (VAT) to gastrointestinal diseases. However, it remains unclear whether those associations reflect causality.
Methods
We used a two-sample Mendelian randomization (MR) approach to elucidate the causal effect of VAT on nine non-tumor gastrointestinal diseases. The inverse-variance weighted method was used to perform MR analyses. Complementary MR analyses, sensitivity analyses, and multivariable MR analyses were conducted to confirm the results.
Results
Genetically predicted higher VAT was causally associated with increased risks of gastro-oesophageal reflux disease (GORD) [odds ratio (OR), 1.21; 95% confidence interval (CI), 1.09–1.34; P = 3.06×10− 4), duodenal ulcer (DU) (OR, 1.40; 95% CI, 1.10–1.77; P = 0.005), cholelithiasis (OR, 1.69; 95% CI, 1.52–1.88; P = 1.70×10− 21), and non-alcoholic fatty liver disease (NAFLD) (OR, 2.68; 95% CI, 1.87–3.82; P = 6.26×10− 8). There were suggestive causal associations between VAT and gastric ulcer (GU) (OR,1.22; 95% CI, 1.01–1.48; P = 0.035) and acute pancreatitis (AP) (OR, 1.26; 95% CI, 1.05–1.52; P = 0.013). Little evidence was observed to support an association between VAT and inflammatory bowel disease, irritable bowel syndrome, or chronic pancreatitis.
Conclusions
We found that genetically predicted higher VAT was causally associated with increased risks of GORD, GU, DU, cholelithiasis, AP, and NAFLD. Future research is needed to assess the validity of VAT as a risk predictor and examine the mediation processes for potential intervention targets.
Predictors of applicant pool diversity among physician assistant education programs: A national cross-sectional cohort study
Authors: Honda Trenton J. , Sturges Daytheon , Mills Daphe C. , Yuen Cynthia X. , Chitwood Ryan W. , Rodríguez José E. 
Published: November 2022

Abstract
Background
Numerous studies have demonstrated that the increasingly diverse US population benefits from access to diverse healthcare providers from similarly diverse backgrounds. Physician assistant (PA) education programs have striven to increase the diversity of the profession, which is predominantly non-Hispanic white, by focusing on admitting historically underrepresented students. However, strategies such as holistic admissions are predicated on the existence of diverse applicant pools. While studies have examined correlates of matriculation into a medical education program, this study looks earlier in the pipeline and investigates whether applicant – not matriculant – pool diversity varies among PA programs with different characteristics.
Methods
Data were drawn from the 2017-2018 Central Application Service for PAs admissions cycle. Applications to programs with pre-professional tracks and applicants missing race/ethnicity data were excluded, resulting in data from 26,600 individuals who applied to 189 PA programs. We summarized the racial and ethnic diversity of each program’s applicant pools using: (1)the proportion of underrepresented minority (URM) students, (2)the proportion of students with backgrounds underrepresented in medicine (URiM), and (3)Simpson’s diversity index of a 7-category race/ethnicity combination. We used multiple regressions to model each diversity metric as a function of program characteristics including class size, accreditation status, type of institution, and other important features.
Results
Regardless of the diversity metric examined, we found that applicant diversity was higher among provisionally accredited programs and those receiving more applications. We also identified trends suggesting that programs in more metropolitan areas were able to attract more diverse applicants. Programs that did not require the GRE were also able to attract more diverse applicants when considering the URM and SDI metrics, though results for URiM were not statistically significant.
Conclusions
Our findings provide insights into modifiable (e.g., GRE requirement) and non-modifiable (e.g., provisionally accredited) program characteristics that are associated with a diverse applicant pool.
Dietary Fiber during Gestation Improves Lactational Feed Intake of Sows by Modulating Gut Microbiota
Authors: Li Shuang , Zheng Jie , He Jiaqi , Liu Hao , Huang Yingyan , Huang Liansu , Wang Ke , Zhao Xilun , Feng Bing , Che Lianqiang , Fang Zhengfeng , Li Jian , Xu Shengyu , Lin Yan , Jiang Xuemei , Hua Lun , Zhuo Yong , Wu De 
Published: November 2022

Abstract
Background
The feed intake of sows during lactation is often lower than their needs. High-fiber feed is usually used during gestation to increase the voluntary feed intake of sows during lactation. However, the mechanism underlying the effect of bulky diets on the appetites of sows during lactation have not been fully clarified. The current study was conducted to determine whether a high-fiber diet during gestation improves lactational feed intake (LFI) of sows by modulating gut microbiota.
Methods
We selected an appropriate high-fiber diet during gestation and utilized the fecal microbial transplantation (FMT) method to conduct research on the role of the gut microbiota in feed intake regulation of sows during lactation, as follows: high-fiber (HF) diet during gestation (n = 23); low-fiber (LF) diet during gestation (n = 23); and low-fiber diet + HF-FMT (LFM) during gestation (n = 23).
Results
Sows in the HF and LFM groups had a higher LFI and litter weight of piglets at weaning, while the sows also had higher peptide tyrosine tyrosine and glucagon-like peptide 1 on day 110 of gestation (G110d) and day 7 of lactation (L7d). Sows given an HF diet had lower Proteobacteria, especially Escherichia-Shigella, on G110d and higher Lactobacilli, especially Lactobacillus_mucosae_LM1 and Lactobacillus_ amylovorus, on L7d. The enrichment of Escherichia-Shigella was alleviated by HF-FMT. In addition, HF and HF-FMT both decreased the perinatal concentrations of proinflammatory factors, such as endotoxin (ET), lipocalin-2 (LCN-2), tumor necrosis factor-α (TNF-α), and interleukin-1β (IL-1β). The concentration of ET and LCN-2 and the abundance of Proteobacteria and Escherichia-Shigella were negatively correlated with the LFI of sows.
Conclusion
The excessive enrichment of Proteobacteria, especially Escherichia-Shigella late in gestation, led to increased endotoxin levels, which result in inflammatory responses and adverse effects on the LFI of sows. Adding HF during gestation reverses this process by increasing the abundance of Lactobacilli, especially Lactobacillus_mucosae_LM1 and Lactobacillus_amylovorus.
Synthesis of polymer lipid nanoparticles loaded with Quercetin: Potential for Activating Autophagy to Promote Apoptosis of Breast Cancer Cells
Authors: Lan Meng , Meng Fansu , Li Qi , Pang Mujuan , Liu Fengjie , Kong Zhaodi , Cai Tiange , Yang Zhenjiang , Cai Yu 
Published: November 2022

Abstract
Studies have shown that autophagy plays an important role in breast cancer progression and treatment. We have emphasized on preparation and optimization of polymer lipid nanoparticles loaded with quercetin (Q-PLNs) and nano-targeted therapeutic strategies on autophagy modulation. Q-PLNs had uniform particle size, good stability, and sustained release effect. Q-PLNs greatly promoted cellular uptake with lower IC50 and increased apoptotic rate. It was discovered that low-dose autophagy inhibitor CQ could partially block behavior of Q-PLNs, suggesting that Q-PLNs could induce autophagy in MCF-7 cells. Apoptosis and Western blot experiment reflected that Q-PLNs activated autophagy and apoptosis of MCF-7 cells by regulating AMPK/mTOR/ULK1 signal activity. In conclusion, polymer lipid nanoparticles were good delivery carriers to improve stability and pharmacological activity of quercetin. The pro-apoptotic effect of Q-PLNs was related to autophagy activation. The initiation mechanism of quercetin induced autophagy in MCF-7 cells presented a basis for further investigation of molecular biological mechanism.
A Detailed meta Analysis on Diagnostic Value of SDC2 Methylation in Patients with Colorectal Carcinoma
Authors: Wu Yujing , Tian Yaqiong , Fan Zhijuan , Zhang Lei , Liu Shuang , Liu Shuye 
Published: November 2022

Abstract
Purpose To identify the diagnostic value of syndecan-2 methylation in CRC patients.
Methods We searched relevant articles in eight databases. Eligible studies were analyzed. Pooled diagnostic odds ratio(DOR), positive and negative likelihood ratio(PLR and NLR), sensitivity and specificity were calculated. The summary receiver operating characteristic(SROC) curve and Fangan’s plot were drawn. Subgroup meta analyses were performed and patients with CRC at different stages or locations were compared to evaluate diagnostic value of SDC2 in detail. We also performed Deeks’ regression test of funnel plot asymmetry and sensitivity analysis to verify if the results are robust and stable.
Results32 eligible studies with 3485 CRC patients and 5989 controls were included in our study. Pooled DOR, PLR, NLR, sensitivity and specificity were 18.54, 5.08, 0.29, 0.74 and 0.87, respectively. The area under SROC was 0.873. Subgroup meta analyses suggested that subjects consisting control group were the main source of heterogeneity. The diagnostic value of SDC2 methylation in CRC varies according to TNM stages and locations, better in distal and TNM I/II stage CRC. According to funnel plot, there exists no statistical publication bias.
Conclusion Methylated SDC2 in stool or blood was a valuable biomarker for the non-invasive detection of CRC with AUC=0.873. Methylated SDC2 performed better in distal and TNM I/II stage CRC than in proximal or TNM III/IV ones.
Generation mechanism of lack of fusion in X70 steel welded joint by fully automatic welding under steep slope conditions based on numerical simulation of flow field
Authors: Li Liying , Fu Jinqiu , Yao Yungang , Wang Xuejun , Liu Kai , Han Tao , Han Bin 
Published: November 2022

Abstract
X70 pipeline steel is butt welded by fully automatic welding at 25 ° slope, and the characteristic information of welding process is collected. A 3D transient heat and mass transfer model of weld pool is established. This model was verified by means of the shape of the weld pool and the two-dimensional shape of the weld, and then the flow field of the fully automatic welding process under steep slope conditions was simulated to clarify the mechanism of the lack of fusion defect. The results show that the welding arc is deflected when it stays on both side walls of the groove. When the arc stays at the bottom of the lower groove, the overflow phenomenon occurs at the structural mutation position of the molten pool located at the bottom of the side wall, and some liquid metal overflows to the front of the groove, forming a "void area" with gas-liquid interface. In the welding process, the liquid metal tends to flow to the side walls for heat transfer under various thermal effects, and forms a large range of eddy current at the side walls. This has a positive effect on sidewall melting. In addition, under the influence of the eddy current, it is difficult for the high-temperature liquid metal in the arc center to flow to the "void area" located at the bottom of the side wall of lower groove. Therefore, the bottom of the lower groove is more likely to cause lack of fusion defect.
Detection of early collision and compression bruises for pears based on hyperspectral imaging technology
Authors: Wang Guanglai , Wang Congcong , Liu Dayang 
Published: November 2022

Abstract

Early detection of bruising is one of the major challenges in postharvest quality sorting processes for pears. In this study, visible/near infrared (VIS/NIR) hyperspectral imaging technology (400–1000 nm) was used to rapidly detect the type of damage and the time period (1, 12, and 24 h) for damage to pears. Spectral images of nonbruised pears and pears subject to mechanical collision and compression bruises were acquired for three different time periods (1, 12, and 24 h), and the average spectrum was calculated for modeling. After analyzing and processing the spectral data obtained for the samples, principal component analysis (PCA) and uninformative variable elimination (UVE) were used to select optimum wavelengths, and an extreme learning machine (ELM) and support vector machine (SVM) were used to build the classification model. Then, the classification results were compared with the genetic algorithm-sooty tern optimization algorithm-support vector machine (STOA-GA-SVM). The accuracy of the PCA-ELM, UVE-ELM, PCA-SVM and UVE-SVM calibration and validation sets is determined to be 98.99%, 89.29%, 98.98%, 87.97%, 96.94%, and 88.78% and 99.23% and 88.78%, respectively, with varying degrees of overfitting. The STOA-GA-SVM model shows the best performance, and the accuracy of the calibration set and validation set is determined to be 95.92% and 91.84%, respectively. This study shows that the use of the VIS/NIR hyperspectral imaging technique combined with the STOA-GA-SVM algorithm is feasible for the rapid and nondestructive identification of the damage type and time for pears.
Data uncertainty in 11 papers on women’s health
Authors: Weeks Jo , Li Wentao , Mol Ben W , Weeks Andrew 
Published: November 2022

Abstract
Detailed analyses of published trials conducted as part of a Cochrane review led to concerns over two trials conducted by a single author. The Cochrane team therefore requested a forensic analysis of all his published papers. Eleven papers were found. Where appropriate, pairwise comparisons were made of values in baseline and outcome tables, and p-values recalculated. The distributions of baseline characteristics were assessed for compatibility with properly conducted randomization using Monte Carlo analysis and unusual features noted. The analyses brought up several areas of concern; for instance, a high degree of identical or highly similar values in some baseline and outcome tables between studies; all recalculated p-values, save for one, are different from the p-values given; for all eleven studies, the probability that participants have been grouped according to properly randomised processes is very low. In correspondence with the author, he agreed that the sample we sent him showed that published p-values were incorrect, but was unable to provide original data to conduct further checks. We conclude that analyses of papers published by this author suggest considerable data concerns and that they should not be used to inform clinical practice until further investigation is completed.
Scheduling in Multi-hop Wireless Networks with MIMO Links using Deep Learning
Authors: Zarmehi Sadegh , Daneshvar-Farzanegan Sayed Mahmoud , Avokh Avid 
Published: November 2022

Abstract
Wireless mesh networks are appropriate and cost-effective infrastructure for Internet but due to the limited scalability and capacity, a lot of research has been doing on new ways to improve these limitations such as optimization of scheduling, routing, etc. In this paper focusing on time division multiple access (TDMA) method, a new algorithm for link scheduling in mesh networks based on Deep Learning is proposed which reduces the possibility of collision to zero by scheduling links. In this algorithm, we will try to size super frames and assign each link to a time slot in such a way that limitations are satisfied and finally, the end-to-end latency is minimized. Our results show that the proposed algorithm can schedule links with shorter super frames compared to other recent algorithms.
Analyzing the Effectiveness of Classification and Regression for Depth Estimation of Highly Dynamic Terrain
Authors: Islam Naeem Ul , Park Jaebyung 
Published: November 2022

Abstract
Depth estimation is considered a problem of translating RGB images to their corresponding depth maps. It plays an essential role in robotics and autonomous navigation as it allows for an understanding of the nature of the terrain. Owing to its natural importance, considerable attention has been paid by the research community in the past decade to depth estimations, including studies focusing on environmental condition-, classification-, or regression-based approaches. Among them, classification- and regression-based approaches are considered the key candidates for depth estimations, but it is not clear which approach performs better under what conditions. To investigate and define a clear method for providing an accurate depth estimation from a single RGB image, this study extensively evaluates these approaches qualitatively and quantitatively by considering a highly dynamic dataset. Based on extensive qualitative and quantitative experimental analyses, this study provides possible future directions for accurate depth estimation from a single RGB image.