bluuebunny/crossref_metadata_2025_split huggingface dataset:
Report of epibiotic suctorian ciliate Acineta karamani on calanoid copepod from the southeastern Arabian Sea
Authors: Purushothaman Aishwarya , Padmakumar K. B. 
Published: March 2023

Abstract

Acineta karamani, a suctorian ciliate, previously known from the freshwater shrimp in Yogoslavia and southwestern Bay of Bengal was discovered in shelf waters off Kochi, Southeastern Arabian Sea. The report briefs the observation of epibiotic suctoria on calanoid copepod Labidocera acuta. The ciliate was represented by its feeding trophont stage and infested the dorsal posterior cephalothorax of the host at a rate of ~ 1–13 numbers per host. The report expands the geographical distribution of the suctoria to the southeastern Arabian Sea.
The South America Low-Level Jet: form, variability and large-scale forcings
Authors: Jones Charles , Mu Ye , Carvalho Leila , Ding Qinghua 
Published: March 2023

Abstract
Northerly low-level jets along the eastern Andes are important conduits of moisture transport and play central roles in modulating precipitation in South America. This study further investigates the South American Low-Level Jet (SALLJ) variability during extended austral summers. A new method characterizes the spatial extent of the low-level jets and finds four distinct SALLJ types: Central, Northern, Andes and Peru. We show the existence of specific evolutions such that the SALLJ initiates in the central region, expands along the Andes and terminates in the northern region. Conversely, the SALLJ initiates in the northern branch, expands to both branches and terminates in the central Andes. The spatiotemporal evolution of the SALLJ is remotely forced by tropical convective anomalies associated with the Madden-Julian Oscillation and El Niño/Southern Oscillation. The evolution of different SALLJ types is controlled by the longitudinal location of equatorial convective anomalies and the phases of Rossby wave trains propagating into South America.
Optimization of GMAW Process Parameters for Weld Overlay of Inconel 686 Superalloy on Low-Carbon Steel
Authors: Tabaie Seyedmohammad , Greene Trevor , Benoit Michael J. 
Published: March 2023

Abstract
Weld overlays of Ni-based superalloys provide high-temperature corrosion, oxidation, and wear resistance for industrial applications. The objective of this study was to evaluate the microstructure of Ni-Cr-Mo superalloy Inconel 686 overlays fabricated using automatic gas metal arc welding (GMAW) with three different levels of voltage, travel speed, and wire feed speed. The variation of these parameters and their effects on the weld quality, dilution, and microsegregation were analyzed. The weld surface quality was assessed by visual examination. The weld dilution was measured by both geometric and chemical composition definitions. The maximum dilution was measured at 13.63%, induced by the highest weld heat input (5.97 kJ.cm− 1) and lowest wire feed speed (6 m.min− 1). The overlay dilution and the heat-affected zone (HAZ) size decreased by increasing the wire feed speed. However, increasing the wire feed speed and the heat input reduced the weld quality and even resulted in noncomplete joints. Microsegregation of elements was evaluated using energy-dispersive X-ray spectroscopy (EDS) analysis and it was found that microsegregation of Mo and Cr and the volume fraction of secondary phases in the interdendritic areas increased with increasing the weld heat input. According to the visual examination results and macro- and microscopic evaluation, the weld overlay parameters were found to be optimized for the mid-level heat inputs (4–5 kJ.cm− 1) and wire feed speeds between 6 and 8 m.min− 1.
Photophysical, antioxidant, antibacterial and NBO, LOL, ELF analysis of alkyl groups substituted calix[4]resorcinarenes
Authors: Kasi Sathiyaseelan , Albert Antony Muthu Prabhu 
Published: March 2023

Abstract
In our work to investigate the photophysical, antibacterial, theoretical and topological analysis of four C-alkyl calix[4]resorcinarenes (C4RAs). The solvatochromism and photophysical properties of C4RAs in different solvents were recorded in both UV-Visible and fluorescence spectral studies. The total antioxidant capacity and antibacterial activity of four C4RAs were evaluated by phosphomolybdate assay and kirby-bauer method. Theoretical parameters such as HOMO, LUMO, energy gap and Mulliken atomic charges and NBO were optimized by DFT B3LYP 6-311G method. From the results of HOMO and LUMO energies were used to determine the theoretical parameters of four C4RAs. The nucleophilic and electrophilic substitution reactivity of four C4RAs were analyzed by molecular electrostatic potential map analysis. Natural bonding orbital analysis was used to determine the intramolecular charge transfer within the energy difference between acceptor and donor orbitals. The non-covalent interactions of four C4RAs were characterized by LOL and ELF topological analysis.
Regression Test Selection in Test-Driven Development
Authors: mafi Zohreh , Mirian-Hosseinabadi Seyyed-Hassan 
Published: March 2023

Abstract
The large number of unit tests produced in the test-driven development (TDD) method and the iterative execution of these tests extend the regression test execution time in TDD. This study aims to reduce test execution time in TDD. We propose a TDD-based approach that creates traceable code elements and connects them to relevant test cases to support regression test selection during the TDD process. Our proposed hybrid technique combines text and syntax program differences to select related test cases using the nature of TDD. We use a change detection algorithm to detect program changes. Our experience is reported with a tool called RichTest, which implements this technique. In order to evaluate our work, seven TDD projects have been developed. The implementation results indicate that the RichTest plugin significantly decreases the number of test case executions and also the time of regression test. The test suite effectively enables fault detection because the selected test cases are related to the modified partitions. Moreover, the test cases cover the entire modified partitions; accordingly, the selection algorithm is safe. The concept is particularly designed for the TDD method. Although this idea is applicable in any programming language, it is already implemented as a plugin in Java Eclipse.
Early-onset colorectal cancer: a retrospective study of demographic, clinicopathological, and molecular characteristics in China
Authors: Chen ZongYao , Deng ShuangYa , Jin XiaoXin , Lin YuHang , Xiao Wang , Chen WeiDong 
Published: March 2023

Abstract
Background: The global incidence and mortality rate of early-onset CRC has gradually increased. The clinicopathological features and pathogenesis of early-onset CRC were still not fully elucidated, and relative data were lacking in China. This research aims to examin the demographic, clinicopathological characteristics of early-onset CRC in China.
Materials and methods: This retrospective study included 509 patients who were diagnosed with colorectal cancer from 2019 to 2021 in the General Surgery Department of the Second Xiangya Hospital, Central South University.
Results: Early-onset CRC patients had significantly longer median symptom durations (90 vs 60 days, P < 0.001). There was no direct relationship between the symptoms duration and the stage of the disease at presentation in early-onset CRC patients (p = 0.750). Early-onset CRC patients showed a more advanced disease stage than late-onset CRC patients (65.7% VS 52.9%, P = 0.005). Additionally, early-onset CRC patients were more likely to have poorly differentiated (30.2% vs 16.7%, p = 0.001), mucinous or signet-ring tumors than late-onset CRC patients (22.4% vs 15.0%, P = 0.048). The d-MMR tumors were more common in early-onset CRC patients (15.9% vs 5.8%, P < 0.001). There was no significant difference in age, gender, BMI, or pathology between patients with right- and left-sided CRC in early-onset CRC patients.
Conclusions: Early-onset CRC has different epidemiology, pathology, and molecular features compared to late-onset CRC in China. More research is required to understand better the pathophysiology of early-onset CRC and why there are different characteristics between the two types of CRC.
Effects of the Intermittent Intrapulmonary Deflation Technique on Expiratory Flow Limitation: an in Vitro Study
Authors: de Macedo Juliana Ribeiro Fonseca Franco , Reychler Gregory , Poncin William , Liistro Giuseppe 
Published: March 2023

Abstract
Introduction: The intermittent intrapulmonary deflation (IID) technique is a recent airway clearance technique that intends to delay the onset of expiratory flow limitation (EFL) during exhalation. We showed in a previous study that IID increased the expiratory volume of COPD patients compared to quiet breathing and positive expiratory pressure (PEP) therapy. We hypothesized that it was due to the attenuation of the EFL.
Objectives: To verify the physiologic effects of IID and PEP techniques on EFL with a mechanical lung model.
Methods: A mechanical lung model was created to assess the effects of IID and PEP techniques. The thorax was simulated by a plexiglas box in which an adult test lung was connected. A calibration syringe simulated the inspiratory phase. Later, with activation of the IID, the expiratory phase was driven by the deflation generated by the device. With PEP, the expiration occurred maintaining an expiratory pressure between 5-10 cmH2O. A pneumotachograph and a pressure transducer were placed in series for flow, volumes and pressure measurements.
Results: The model reproduced physiological characteristics of EFL. However, the deflation of the model was slowed by IID and PEP, and flow remained almost constant, so flow limitation was reduced.
Conclusion: The IID and PEP attenuate EFL and increase exhaled volume in the in vitro model.
Highly efficient and green micro/nano cellulose preparation with micro-nano bubbles from mild alkaline pretreated bagasse
Authors: Yu Qian , Tiantian Ping , He Huang , Huiying Xing , Mengke Liu , Xin Feng , Xiaohua Lu , Lilong Zhang , Jiahua Zhu 
Published: March 2023

Abstract
Cellulose extraction accounts for 70% of the total production cost required for the preparation of micro/nano cellulose. Conventional pretreatment methods cause equipment corrosion and generate non-recyclable waste liquids. Thus the industrial-scale preparation of micro/nano cellulose is limited. To overcome this limitation, herein, a method is proposed, where in a mild alkaline pretreatment is combined with the micro-nano bubble (MNB) treatment, for the extraction of cellulose from bagasse. A delignification rate of >92% was attained, micro/nano cellulose was exposed on the pulp surface owing to the MNB treatment; the 4-h MNB treatment resulted in the complete exposure of micro/nano fibers. The production cost for this process was only 3.19 USD/kg CNFs, about 70.9 times lower than that for TEMPO oxidation. An appropriate MNB treatment time (1 h, 2 h) allowed the retention of moderate micro-fibers, which enhanced the maximum tensile force and tensile strength of micro/nano cellulose paper by about 50%. The results revealed that the proposed method serves as an efficient, green, and sustainable strategy for the large-scale and low-cost production of micro/nano cellulose.
Integrative analysis of a four-component competing endogenous RNA network reveals potential diagnostic and prognostic biomarkers in gastric cancer
Authors: Salehi-Mazandarani Sadra , Nikpour Parvaneh 
Published: March 2023

Abstract
Gastric cancer (GC) is a common and deadly cancer in the world. Molecular changes underlying the development of GC are not thoroughly understood. Therefore, we constructed and analyzed a novel four-component competing endogenous RNA (ceRNA) network to introduce plausible diagnostic and prognostic biomarkers in GC. Transcriptomics and circular RNA (circRNA) data were retrieved from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases, respectively. After batch effect correction, differential expression analysis, and interaction prediction, a ceRNA network including long non-coding RNAs (lncRNAs), circRNAs, microRNAs (miRNAs), and messenger RNAs (mRNAs) was established. Enrichment analyses were performed and a protein-protein interaction (PPI) network was constructed. Furthermore, A sub-network was extracted and using qRT-PCR method, the expression changes of two hub ceRNAs were examined. Finally, survival analysis was performed to identify potential prognostic RNAs. A four-component ceRNA network containing 822 nodes and 1365 edges was constructed. Enrichment analyses unveiled important signaling pathways and gene ontologies such as neuroactive ligand-receptor interaction and axonogenesis relating to the network. PPI network showed the interactions among mRNAs of the ceRNA network. qRT-PCR indicated downregulation of EPHA5 and SNAP91 mRNAs in GC compared to control tissues. Survival analyses revealed eight mRNAs and one lncRNA as potential prognostic biomarkers in GC. The established ceRNA network in GC reveals a comprehensive view of the molecular and cellular characteristics of GC progression which can be considered as a basis to examine and validate potential diagnostic and prognostic biomarkers as well as therapeutic targets.
Simulation of the adsorption – desorption hysteresis
Authors: Lovrić Milivoj 
Published: March 2023

Abstract

A model of desorption from the surface of rotating disk into the solution of surface active substance is developed for Frumkin isotherm. The time needed to approach the first equilibrium within 1% of error is investigated. For desorption this means to acquire the highest surface coverage, and for adsorption the lowest coverage that is in the equilibrium with the bulk of solution. If the equilibrium isotherm is S shaped, the near equilibrium isotherms are characterised by big changes of coverage that are caused by small increments of bulk concentrations. These changes require very long near equilibrating times because they are driven by small fluxes of dissolved surfactant. These times are the second component of the hysteresis.
The electron-induced trimerization of acrylic acid anion radical in the gas phase
Authors: Tavakol Hossein , Shafieyoon Parvaneh 
Published: March 2023

Abstract
In this work, the electron-induced reaction of acrylic acid was studied using an FT-ICR-Mass spectrometer and DFT calculations at M06-2X/aug-cc-pVTZ level of theory. The experiments showed the formation of acrylic acid trimer after 40 seconds as the major product. In the theoretical part, the structures and energies of various intermediates, transition states, and products were found via 4 different routes in five steps, consisting of electron transfer, proton transfer, dimerization, trimerization, and cyclization. The highest barriers belonged to the proton-transfer step, which defined the kinetic of the process and the kinetic product. The reactions were only possible up to the formation of the acyclic trimer and the cyclization process in the studied routes was kinetically and thermodynamically impossible. The calculated relative energies showed the possibility of two acyclic trimer structures as the major products. The first (I5-1), was the most stable and thermodynamic product with − 67.63 kcal/mol relative energy with a 12.38 kcal/mol overall barrier. The second (I5-2), was the kinetic product with a 10.55 kcal/mol barrier and − 55.21 kcal/mol relative energy versus the reactant. Because of the completion of the reaction in 40 s and at room temperature, the kinetic product was selected as the major product.
Study on the diffraction-like and interference-like mechanisms of particle flow
Authors: Zeng Jiqing , Zeng Tianhe 
Published: March 2023

Abstract
The Young's double slit experiment and the electron double slit experiment are generally considered to prove the wave nature of light and electrons. The most obvious sign of the double-slit experiment is that there are bright and dark stripes on the screen. However, people have not carefully studied the causes of the light and dark stripes. Here, we demonstrates that the light and dark fringe in Young's double-slit experiment is not actually the diffraction and interference pattern of light wave, and tries to reveal the real reason for its formation. We have studied the scattering phenomenon of particle flow after passing through the gap, and found that the scattering type and scattering degree of freedom of particle flow are determined by the physical parameters of particles and the gap, and the uniform scattering of particle flow can form a "yes" and "no" discrete distribution pattern on the receiving screen. Based on the "diffraction like" and "interference like" mechanism of particle flow, this paper explains the electron diffraction and interference experiment, as well as the Young's double-slit interference experiment and the diffraction of light through circular holes and plates. This paper negates the wave-particle duality and the de Broglie material wave hypothesis, fundamentally shaking the foundation of modern quantum mechanics, and has great scientific significance.
Right and Left Ventricular Cardiac Magnetic Resonance Imaging Derived Peak Systolic Strain is Abnormal in Children with Myocarditis
Authors: Rhee Elisa , Dobrila Julija , Kaur Harmanpreet , Patel Mehul D. , Uppu Santosh C. 
Published: March 2023

Abstract
Purpose: CMR derived left ventricular longitudinal and circumferential strain is known to be abnormal in myocarditis. CMR strain is an useful additional tool that can identify subclinical myocardial involvement and may help with longitudinal follow-up. Right ventricular strain derived by CMR in children has not been studied. We sought to evaluate CMR derived biventricular strain in children with acute myocarditis.
Methods: Children with acute myocarditis who underwent CMR 2016 - 2022 at our center were reviewed, this group included subjects with COVID-19 myocarditis. Children with no evidence of myocarditis served as controls Those with congenital heart disease and technically limited images for CMR strain analysis were excluded from final analysis. Biventricular longitudinal, circumferential, and radial peak systolic strains were derived using Circle cvi42. Data between cases and controls were compared using an independent sample t-test. One-way ANOVA with post hoc analysis was used to compare COVID-19, non-COVID myocarditis and controls.
Results: 38 myocarditis and 14 controls met inclusion criteria (14.4 ± 3 years). All CMR derived peak strain values except for RV longitudinal strain were abnormal in myocarditis group. One-way ANOVA revealed that there was a statistically significant difference with abnormal RV and LV strain in COVID-19 myocarditis when compared to non-COVID-19 myocarditis and controls.
Conclusion: CMR derived right and left ventricular peak systolic strain using traditionally acquired cine images were abnormal in children with acute myocarditis. All strain measurements were significantly abnormal in children with COVID-19 even when compared to non COVID myocarditis.
Lecture Preparation of Fluorescence Quantum Dots-Molecularly Imprinted Polymers and Detection of Teflubenzuron from Cabbage Samples
Authors: Feng Tian , Chen Zhenkun , cheng Xiaoming 
Published: March 2023

Abstract
A novel and sensitive quantum dots-molecularly imprinted polymer (MIPs-capped ZnS:Mn QDs) was synthesized for the rapid and specific recognition of teflubenzuron (TBZ) in water samples. Based on the fluorescence quenching via template analytes(TBZ) rebinding into the specific recognition cavities in the polymer, which allowed the TBZ to be sensed optically. Under optimal conditions, MIPs-capped ZnS:Mn QDs was applied to detection of TBZ, and a linear relationship was obtained over the concentration range 0-100mg/L with a correlation coefficient of 0.9981. Four structurally similar compounds were used for the selectivity test of MIPs-capped ZnS:Mn QDs. It was observed that the obtained composites can selectively rebind the template molecules(TBZ). In addition, MIPs-capped ZnS:Mn QDs were successfully applied to the detection of TBZ in cabbage samples. The recovery is between 90.35 and 97.09% with relative standard deviations in the range of 2.45–3.17%. The polymer developed in this work has the advantages of simple preparation and processing, fast response, low toxicity and good optical stability, which is very promising for the detection of TBZ.
Three-wavelength PPG and support vector machine for non-invasive estimation of blood glucose
Authors: Castro-Pimentel Luis Alfredo , Téllez-Anguiano Adriana del Carmen , Coronado-Reyes Oscar Iván , Diaz-Huerta Jorge Luis 
Published: March 2023

Abstract
Diabetes mellitus is a chronic disease characterized by producing abnormal levels of blood glucose concentration. Currently, the most widely accepted method for glucose monitoring is invasive, however, despite its great reliability, it can be uncomfortable and traumatizing for the youngest users. The objective of this study is to provide an alternative method that allows a non-invasive estimation of blood glucose levels with an elevated level of confidence. In this work, 187 records were performed on people without any declared pathology; the concentration of blood glucose and the amplitude of the PPG signals of 525 nm, 660 nm and 940 nm were measured simultaneously. 70% of the data was used to train a regression model based on a fine Gaussian support vector machine, while the remaining 30% is used to validate the results. The regression model using the support vector machine was able to locate 95.38% of the estimates with an error of less than 15%, showing a standard error of 7.01 mg/dL and a MARD of 6.99%. The model presented here allows non-invasive estimation of blood glucose levels with reliability comparable to minimally invasive devices currently on the market.
Identifying characteristic genes of ferroptosis in osteoarthritis based on machine learning and analysis of immune infiltration
Authors: Xu Wenfei , Mei Qijie , Yuan Changshen , Ming chunyu , Yue xing , Guo Jinrong , Zeng chao , Duan kan 
Published: March 2023

Abstract
Objective: Machine learning was used to identify the characteristic genes associated with ferroptosis in osteoarthritis (OA) and immune infiltration analysis.
Methods: Microarray datasets were downloaded from the GEO database, while genes associated with ferroptosis were retrieved from the FerrDb website. R language was used to batch correct data, extract OA ferroptosis genes, and analyze the differences between them. GO、KEGG、DO and PPI analysis was performed on DEGs, and machine learning techniques were utilized for the selection of characteristic genes associated with ferroptosis in OA. Further PCR assay validation and relevant immune infiltration analysis were carried out.
Results: 24 DEGs related to ferroptosis in OA were obtained, which included 21 down-regulated and 3 up-regulated genes. It mainly involves the reaction to oxidative stress, apical cell , IL17 and TNF signaling pathways. Ferroptosis is also associated with female genital tumors and other diseases. WGCNA, SVM-RFE, and LASSO regression analyses were utilized to select 12, 9, and 4 genes. The characteristic gene KLF2 was obtained after the intersection. After verification, it was found that KLF2 was more accurate as a disease-characteristic gene; It was further confirmed that the expression of KLF2 was lower in the test group than in the control group using PCR assay. Immune infiltration analysis showed that activated mast cells were closely related to resting dendritic cells, and KLF2 was closely related to T cells follicular helper. Conclusion: Machine learning methods can be used to obtain KLF2, a gene characteristic of OA Ferroptosis, and effectively elucidate its pathogenesis.