bluuebunny/crossref_metadata_2025_split huggingface dataset:
A new Approach for Remaining Useful Life Prediction of Bearings Using 1D-Ternary Patterns with LSTM
Authors: AKÇAN Eyyüb , KAYA YILMAZ 
Published: March 2023

AbstractBearings are one of the components that frequently malfunction in mechanical systems and their failure directly affects the system's performance. Therefore, accurately predicting bearing failures helps personnel with maintenance planning and prevents unexpected failures. Data-driven prognostic techniques are commonly used to predict the remaining useful life (RUL) of high-speed bearings. RUL prediction relies on determining the fundamental relationship between bearing degradation and current health status, and its accuracy depends on the effectiveness of the features extracted from the bearing. In this study, a new approach has been proposed to predict the remaining life of bearings. Two different feature vectors, LOWER and UPPER, are obtained by applying the 1D-TP method to vibration signals, and RUL prediction is performed using LSTM. The proposed approach has been tested on a dataset obtained from the PRONOSTIA platform, and performance metrics such as MAE, RMSE, SMAPE, RA, and Score values have been determined. The results show that the 1D-TP + LSTM method helps to successfully predict the remaining life of bearings. As a result, accurate RUL assessment or reliability analysis will help personnel make appropriate maintenance decisions, prevent losses due to mechanical system damage, improve production safety, and prevent damage to the mechanical system.
Air Quality Impact from Petroleum Refinery at Sapugaskanda, Sri Lanka
Authors: Rajapakshe R. W.K. , Nishajanthani H.B.U. , Premasiri H. D.S. , Karunaratne S. , Athapattu B. C.L. 
Published: March 2023

Abstract
Being the single largest oil refinery in Sri Lanka and located in an area of mixed land use, the petroleum refinery at Sapugaskanda deserves proper investigation to evaluate the possible impacts on the ambient air quality in the surroundings. The objectives of this study were to (1) measure ambient air quality concerning sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), ozone (O3) and particulate matter (PM2.5 and PM10) around the petroleum refinery during major shutdown and normal operation period of the refinery in 2018 (2) identify the compliance concerning the regulated limits (3) investigate the effect of refinery operation or shut down on the concentrations of air pollutants. The results were statistically analyzed. Active monitoring results indicated that normal operation of the refinery are not statistically significantly different from those during the refinery shutdown period (Wilcoxon Signed Ranks Test; for SO2, W = 8, p = 0.094, NO2, W = 11, p = 0.062, O3, W = 7.5, p = 0.125). PM10 and PM2.5 indicated that the ambient concentrations during the refinery shutdown are statistically significantly higher than those during the normal operation period of the refinery (Wilcoxon Signed Ranks Test; W = 1, p = 0.031). According to passive monitoring results, no statistically significant spatial variation of concentrations of SO2 was detected (One-way ANOVA F(4,25) = 1.28, p = 0.30). Temporal variation of concentrations of SO2 was also not statistically significant (One-way ANOVA F(5,24) = 0.44, p < 0.81). For NO2, statistically significant spatial variation of concentrations was not detected (One-way ANOVA F(4,25) = 2.55, p = 0.064). Temporal variation of concentrations of NO2 was also not statistically significant (One-way ANOVA F(5,24) = 0.86, p < 0.51). The measured concentrations were substantially lower than ambient air quality standards established by the Ministry of Environment, Sri Lanka. The maximum concentrations were found 2 km away from the refinery and to the northeast. Air pollutant concentrations can be evaluated over long periods by using the monitoring procedure adopted in this study and hotspots of pollution can be identified. Identification of these hotspots may help to evaluate air quality and to execute proper action plans, especially in locations where industrial and urban pollution coexist.
Association of sarcopenia with osteoporosis in patients with type 2 diabetes
Authors: Xu Ke , Feng Xiaozhen , Xu Zeru , Pan Yang , Zhang Ping , Zhu Hong 
Published: March 2023

Abstract
Background: Patients with type 2 diabetes mellitus (T2DM) present a higher tendency to develop sarcopenia and osteoporosis compared with the normal population. Currently, osteoporosis screening has been frequently performed among T2DM patients, but sarcopenia screening is relatively less, and the association between the two diseases remains unclear. Herein, this study aims to determine the association between sarcopenia and osteoporosis in T2DM patients.
Methods: This was a retrospective study of 678 patients with T2DM in the First Affiliated Hospital of Wenzhou Medical University. The bone mineral density (BMD) and muscle mass were measured by using dual-energy X-ray absorptiometry scanning. The diagnostic criteria of sarcopenia referred to the consensus by the Asia Working Group for Sarcopenia (AWGS).
Result: Among T2DM patients, the proportion of the sarcopenia population complicated with osteopenia (38.9% vs. 33.7%) and osteoporosis (35.4% vs. 17.5%) was significantly higher than that of the non-sarcopenia population (P < 0.01). The BMD of the hip and femoral neck was positively correlated with skeletal muscle mass index (SMI), grip strength, and gait speed (P < 0.01). After adjusting all covariates, the association between sarcopenia and BMD showed odds ratios of 0.43 (95% CI:0.28-0.66) for the femoral neck and 0.49 (95% CI:0.32-0.73) for the hip.
Conclusions: The BMD of the hip and femoral neck in T2DM patients is related to sarcopenia-related indicators and represents an independent protective factor for sarcopenia.
Process scheduling analysis and dynamic optimization maintaining the operation margin for acetylene fixed-bed hydrogenation reactor
Authors: FuMing XIE , Luo Xiong-Lin 
Published: March 2023

AbstractThe full cycle operation optimization of acetylene hydrogenation reactor should be carried out rigidly according to the operation optimization scheme within the operation cycle. However, in the actual industrial process, for meeting the temporary process scheduling requirements, the acetylene hydrogenation reactor needs to temporarily adjust the operation strategy in the remaining operation cycle after running according to results of the dynamic optimization for a certain period, which brings more changes and challenges to the operation optimization problem. Based on the margin estimation and the control optimization framework of slowly-time-varying systems, the kind of full-cycle dynamic optimization problem in which the operation optimization scheme is temporarily changed during the operation cycle is researched in this paper.The methods of changing the operation optimization scheme include as follows: changed the operation cycle, maximized economic benefit and changed the optimization goal, maximized the operation cycle. In this paper, the effect of process scheduling change on the full-cycle optimization is analyzed by dynamic optimization model maintaining the operation margin, established the full-cycle scheduling optimization model, and the optimal scheduling strategy is obtained.
A distinctive subcortical functional connectivity pattern linking negative affect and treatment outcome in major depressive disorder
Authors: Si Tian-mei , Wu Yan-Kun , Su Yun-Ai , Zhu Lin-Lin , Yan Chao-Gan , Li Ji-Tao , Lin Jing-Yu , Chen Jingxu , Chen Lin , Li Ke , Stein Dan 
Published: March 2023

Abstract
Major depressive disorder (MDD) is associated with functional disturbances in subcortical regions. However, little is known about how the subcortical functional network relates to depressive symptom profile and treatment outcome. In this study, we aimed to investigate associations among subcortical connectivity, clinical symptoms and antidepressant response in MDD using multivariate methods. Data for the present study were derived from the Towards Neurobiology-based Diagnosis and Treatment of Affective Disorders (TNDTAD), which is a naturalistic prospective study of mood disorders (NCT03294525). Medication-free participants with MDD (n = 135) underwent a functional magnetic resonance imaging scan at baseline and completed posttreatment clinical assessment after 8 weeks of antidepressant monotherapy. We used partial least squares (PLS) analysis to explore associations between subcortical connectivity and symptom profile. Replication was undertaken in an independent sample (n = 74). We also investigated the association between the observed subcortical connectivity pattern and treatment outcome in the discovery sample. A distinctive subcortical connectivity pattern, critically involving dorsal striatum and thalamus, was associated with negative affect. This association was partly replicated in the independent sample. Lower composite functional connectivity score (reflecting the connectivity pattern) at baseline predicted greater symptom improvement after 8 weeks of antidepressant treatment. The emphasis here on the role of dorsal striatum and thalamus consolidates prior work of subcortical connectivity in MDD. The findings provide insight into the pathogenesis of MDD, linking subcortical functional connectivity with negative affect. However, while connectivity pattern significantly predicted treatment outcome, the low odds ratio suggests that finding predictive biomarkers for depression remains an aspiration.
Sensitivity Analysis of Tsunami Heights to Shallow Bathymetric Resolution
Authors: Felix Raquel , Hubbard Judith , Wilson Kaya , Switzer Adam 
Published: March 2023

Abstract
We examined how variations in bathymetric resolution affect simulated coastal tsunamis. We used 1-m resolution LiDAR datasets to generate resampled bathymetries with 5, 10, 20, 30, 40, 50, 100, 200, and 300 m resolutions, and added GEBCO data in the comparison. Tsunami waves offshore were generated by setting up an instantaneous rupture sourced from a hypothetical fault model. We used the COMCOT software to model tsunami propagation towards the coas. Using the 5 m bathymetry as the reference model, we observed that datasets with 10 – 50 m resolutions can reproduce tsunamis reasonably well. The maximum heights are overestimated by ≤5% or underestimated by ≤10%, and the first wave arrival time is ∼10%earlier than expected. Coarser bathymetries show an increasing trend of height underestimation, with the GEBCO model underestimating it by as much as 70%. Coarser bathymetries have more variable first wave arrival time, either ≤20% later or ≤10% earlier. Overall, a reasonably accurate result can be achieved using a bathymetric resolution in the 10 m – 50 m range, and is achievable with reasonable computational efficiency. This study highlights the importance of shallow bathymetry in the numerical modeling of tsunami propagation.
Vagus Nerve Stimulation in the Non-Human Primate: Implantation Methodology, Characterization of Nerve Anatomy, Target Engagement and Behavioral Utility
Authors: Suminski Aaron J , Rajala Abigail Z , Birn Rasmus M , Mueller Ellie M , Malone Margaet E , Ness Jared P , Filla Caitlyn , Brunner Kevin , McMillan Allan B , Poore Samuel O , Williams Justin C , Murali Dhanabalan , Brzeczkowski Andrea , Hurley Samuel A. , Dingle Aaron M , Zeng Weifeng , Lake Wendell B , Ludwig Kip A , Populin Luis C 
Published: March 2023

Abstract
Background:
Vagus nerve stimulation (VNS) is regularly used to treat a variety of neurological disorders that impact the central nervous system (CNS). There are, however, few large animal models that allow for detailed mechanistic studies of the effects of VNS on the CNS during behavior.
Methods:
To that end, we describe the anatomical organization, surgical methodology to implant VNS electrodes and characterization of target engagement/neural interface properties in a non-human primate (NHP) model of VNS that permits chronic stimulation over long periods of time. Furthermore, we demonstrate the utility of this preparation in low n, proof of concept behavioral and imaging experiments investigating the effects of VNS on the CNS.
Results:
VNS electrode impedance remained constant over months suggesting a stable interface. VNS elicited robust activation of the vagus nerve which resulted in decreases of respiration rate and/or partial pressure of carbon dioxide in expired air, but not changes in heart rate in both awake and anesthetized NHPs.
Conclusions:
We anticipate that this preparation will be very useful to study the mechanisms underlying the effects of VNS for the treatment of conditions such as epilepsy and depression, for which VNS is extensively used, as well as for the study of the neurobiological basis underlying higher order functions such as learning and memory.
Analysis of interaction mode of ideological and political flipped classroom based on deep learning algorithm and student feedback data
Authors: Botao Liu , Yanpeng Jin 
Published: March 2023

Abstract
By abstracting the input data using deep neural networks, we can obtain the distributed representation characteristics of related data. Compared with shallow neural network, deep neural network has stronger data representation ability. Deep learning promotes the deep research and practical application of machine learning. The continuous progress and development of society not only promote the new curriculum reform, but also put forward higher requirements for all kinds of talents. At this stage, students should learn how to maintain lifelong learning, and maintain the attitude of "learning is never too old". Therefore, the concept of deep learning in the educational world was born. Ideology and politics is a comprehensive subject, which requires students to solve problems independently. The content of ideology and politics is complex and diverse, and theory is closely combined with practice, so that students can find and analyze problems independently in the process of practice. Deep learning is manifested in higher-order thinking, that is, students should be self-conscious in learning, learn to closely discuss the problems in learning with people around them, and have the ability to criticize, question, integrate construction, transfer and apply in the learning process. Based on the deep learning algorithm, this paper uses relevant theories and educational practices for reference to analyze the interaction mode of ideological and political flipped classroom and student feedback data.
Screening of pathogenic genes of ulcerative colitis and colorectal cancer by integrated bioinformatics analysis
Authors: Chen Pan , Li Jie , Shi Jun , Lu Chen , Luo Qian , Yu Jun , Wang Wei 
Published: March 2023

Abstract
Background
Ulcerative colitis (UC) is one of the high-risk pathogenic factors for colorectal cancer (CRC). However, the underlying molecular mechanisms of ulcerative colitis-associated colorectal cancer (UC-CRC) remain unclear. Therefore, identifying novel biomarkers and therapeutic targets in the evolution of UC-CRC from a predictive, preventive, and personalized medicine (PPPM) perspective is of great significance.
Methods
CRC and UC datasets were downloaded from the Gene Expression Omnibus database. Using R software and Perl, differentially expressed genes (DEGs) in both UC and CRC tissues were re-annotated and screened. The biological activities and signaling pathways involved in DEGs were investigated using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses. The STRING database and Cytoscape software were used to construct the gene interaction network.
Results
A total of 384 DEGs were selected for further investigation, and functional analysis revealed that inflammatory and immunological responses were crucial in the development of the two diseases. Moreover, the top 15 key genes involved in the UC-CRC were screened using cytoHubba, including IL1B, CXCL10, CCL20, MMP9, ICAM1, CCL4, CXCR1, MMP3, TLR2, PTGS2, IL1RN, IL6, COL1A2, TIMP1, and CXCL1.
Conclusion
The identification of these genes in the present study may provide a novel perspective for the prediction, prevention, and personalized medicine of UC and CRC patients.
Migraine Detection and Analysis Using Fuzzy Intelligent System
Authors: Narayan Ritushree , khatoon Naghma 
Published: March 2023

Abstract
Fuzzy logic is used to handle situations when the outcome cannot be specified by a hard limit of yes or no. Many human diseases may be diagnosed using a particular test or diagnostic method which tells people whether they have the condition or not. Migraine is a less-known condition; hence, there is no permanent treatment for migraines yet. There isn't a specific test for diagnosing migraines, which implies that only an individual's physical and mental symptoms may be used for the diagnosis of migraines. Symptoms also vary from one another—no standard definition of migraine at the moment. There are currently no tests in the medical field that can diagnose migraines. The symptom indicates the severity and health state of the migraine. This professional method attempts to assess and diagnose migraine utilizing ambiguous symptoms. Obscure refers to items or traits that are not measured using precise logic; in other words, there isn't a significant differentiation between yes and no. Migraine has various symptoms; we can estimate the severity of the migraines based on all these symptoms. We solved the problem using MATLAB.
Applying prednisone after radioactive iodine is helpful to reduce gastrointestinal reactions for papillary thyroid carcinoma patients
Authors: Xiao Juan , Han Fei , Cao Jingjia , Li Xiao , Yun Canhua 
Published: March 2023

Abstract
Background: The aim of the study was to determine the clinical value of prednisone for preventing the occurrence of adverse reactions after radioactive iodine (RAI) in papillary thyroid carcinoma (PTC).
Methods: 220 consecutive PTC patients who undergone RAI were included in the study. From March 16 to April 27, 2020, patients accepted prednisone and from May 6 to July 20, 2020, patients enrolled who were not applied with prednisone. Clinicopathological characteristics, RAI treatment effect, and adverse reactions after RAI were compared between the two groups.
Result:127 patients were in prednisone treatment group (91 females and 36 males; mean age, 41.46±11.65), 93 patients were in control group (73 females and 20 males; mean age, 43.12±11.19). There was no statistical difference in gender, age, T stage, N stage, ATA risk classification, pre-ablation Tg and RAI treatment effect between the two groups. Compared with the control group, the proportion of gastrointestinal reaction and parotid enlargement in prednisone treatment group was lower. The duration of gastrointestinal reactions in the prednisone treatment group was shorter than that in the control group.
Conclusion: To some extent, applying prednisone to PTC patients could control gastrointestinal reaction after RAI therapy, but it should be cautious when applying it for patients.
Transarterial chemoembolization combined with microwave ablation versus repeated resection for recurrent small hepatocellular carcinoma after resection：What is the better treatment？
Authors: Ji Jie , Yan Le-le , Ma Yuan , Wang Fu-an , Zhang Ya-ping , Jin Sheng-jie , Zhou Wei-Zhong , Lv Peng-hua 
Published: March 2023

Abstract
Purpose: To compare the effectiveness of transcatheter arterial chemoembolization combined with microwave ablation (TACE-MWA) versus repeated hepatic resection (RHR) among patients with recurrent small hepatocellular carcinoma (sHCC) after primary resection.
Materials and Methods: A total of 59 patients with recurrent sHCC (size ≤ 3cm) treated by TACE-MWA or RHR were collected from two centers between June 2015 and October 2021. Patients who were treated by either TACE-MWA or RHR were matched by propensity score at 1:1 ratio. Disease-free survival (DFS), overall survival (OS) and complications were compared between groups.
Results: A total of 38 patients were enrolled in this study after matching, with 19 patients in each group. Before matching, the corresponding 1-, 3-, and 5-year DFS rates were 68.1%, 46.6%, and 23.3% for the TACE-MWA group, and 84.6%, 47.3%, and 47.3% for the RHR group. The 1-, 3-, and 5-year OS rates were 100.0%, 83.7%, and 47.8% for the TACE-MWA group, and 100.0%, 95.0%, and 45.2% for the RHR group, respectively. After matching, the corresponding 1-, 3-, and 5-year DFS rates were 78.0%, 48.3%, and 24.1% for the TACE-MWA group, and 77.5%, 38.7%, and 38.7% for the RHR group. The 1-, 3-, and 5-year OS rates were 100.0%, 88.9%, and 54.9% for the TACE-MWA group, and 100.0%, 93.3%, and 44.4% for the RHR group, respectively. No statistically significant difference was found in either DFS rates or OS rates between groups before matching (P=0.825 and P=0.625) and after matching (P=0.834 and P=0.490).
Conclusions: Compared with RHR, TACE-MWA could provide equivalent effectiveness for recurrent sHCC.
Determination of the best point of entry of percutaneous insertion of sacroiliac screws depending on patient positioning for surgery: a cadaveric study
Authors: Kułakowski Michał , Reichert Paweł , Elster Karol , Piotrowski Wojciech , Ślęczka Paweł , Witkowski Jarosław , Oleksy Łukasz , Janczak Dariusz , Królikowska Aleksandra 
Published: March 2023

Abstract
The standard starting point for the percutaneous sacroiliac screw insertion defined by Matta and Saucedo was initially determined for surgeries performed in a prone position. Still, the technique has also been used in surgeries performed in a supine position. Therefore, the cadaveric study aimed to determine the best entry point for the percutaneous insertion of sacroiliac screws depending on the patient's positioning for surgery. K-wires were percutaneously inserted into the sacral body of eight human cadavers. In addition to the standard sacroiliac screw entry point, points located 1 cm and 2 cm cranially from along the line, prolonging the femoral axis, were studied. The K-wires were inserted into the studied entry points on the right side in a supine position and on the left side of the same cadaver in a prone position. The placement of the K-wires was assessed using radiographic imaging and cadaver dissection. The analysis revealed that all three studied entry points enabled the correct placement of orthopedic implants for surgery in the prone position. In turn, for surgery performed in the supine position, the best entry point was located 2 cm cranially from the standard entry point, along the line prolonging the femoral axis.
Factors affecting usage intention of PMDs in South Korea: S-O-R theory and the mediating effect
Authors: Lee WonGuk , Yang Heetae 
Published: March 2023

Abstract
This study investigates the factors that impact the intention to use personal mobility devices (PMDs) focusing on the role of perceived satisfaction and perceived trust in driving usage intention. A new research model was developed based on the stimulus-organism-response (S-O-R) theory to explore how stimuli, organisms, response factors, and two antecedents influence the intention to use PMDs. To gather data, we surveyed 444 current users and non-users of PMDs in South Korea and analyzed the results using partial least squares structural equation modeling and deep artificial neural networks. Perceived satisfaction and perceived trust have significant mediating effects on usage intention of PMDs. Additionally, the roles of stimulus factors and the two antecedents are confirmed, even though the significant relationships between a few factors for users and non-users are different. One crucial finding is the positive influence of government regulation on perceived risk factors. The results offer suggestions for PMD service providers about how to retain current users and attract non-users.