bluuebunny/crossref_metadata_2025 huggingface dataset:
LINEAR FRACTAL INTERPOLATION FUNCTION FOR DATA SET WITH RANDOM NOISE
Authors: KUMAR MOHIT , UPADHYE NEELESH S. , CHAND A. K. B.
Published: September 2022

Fractal interpolation is a contemporary technique to approximate numerous scientific experiments and natural phenomena. For data sets in [Formula: see text], the simplest and easy-to-handle fractal interpolation functions (FIFs) are linear. In this study, we estimate probability distributions of linear FIFs for data sets with various types of random noise. In order to evaluate the distribution of any linear FIF associated with a prescribed data set having Student’s t-distributed noise, we develop a technique to approximate the distribution of a linear combination of independent generalized Student’s t-distributed random variables. In addition, we provide some statistical properties and numerical approximations of these linear fractal functions.
On Stieltjes type transforms over Boehmian spaces
Authors: Negrin Emilio , Rajakumar Roopkumar
Published: September 2022

We extend integral transforms of Stieltjes type to a larger space of Boehmians than that used in previous studies. Our analysis includes the Stieltjes transform, the Poisson transform (Widder’s potential transform) and the generalized Stieltjes transform.
Rift propagation in south Tibet controlled by under-thrusting of India: a case study of the Tangra Yumco graben (south Tibet)
Authors: Wolff Reinhard , Hetzel Ralf , Hölzer Kyra , Dunkl István , Xu Qiang , Anczkiewicz Aneta A. , Li Zhenyu
Published: September 2022

Active graben systems in south Tibet and the Himalaya are the surface expression of ongoing east–west extension, although the cause and spatiotemporal evolution of normal faulting is a still a matter of debate. We reconstructed the exhumation history driven by normal faulting in the southern Tangra Yumco graben using new thermochronological data. The Miocene cooling history of the footwall of the main graben-bounding fault is constrained by zircon (U–Th)/He ages (16.7 ± 1.0 to 13.3 ± 0.6 Ma), apatite fission track ages (15.9 ± 2.1 to 13.0 ± 2.1 Ma) and apatite (U–Th)/He ages (7.9 ± 0.4 to 5.3 ± 0.3 Ma). Thermo-kinematic modelling of the data indicates that normal faulting began 19.0 ± 1.1 Ma at a rate of
c.
0.2 km myr
−1
and accelerated to
c.
0.4 km myr
−1
at
c.
5 Ma. In the northern Tangra Yumco rift, remodelling of published data shows that faulting started
c.
5 myr later at 13.9 ± 0.8 Ma. The age difference and the distance of 130 km between these two sites indicates that rifting and normal faulting propagated northward at an average rate of
c.
25 km myr
−1
. As this rate is similar to the Miocene convergence rate between India and south Tibet, we argue that the under-thrusting of India beneath Tibet exerted an important control on the propagation of rifts in south Tibet.

Supplementary material
: Figures S1, S2, and Table S1 with details on apatite fission track analysis are available at
https://doi.org/10.6084/m9.figshare.c.6198584
Investigating the Effects of External Communication and Automation Behavior on Manual Drivers at Intersections
Authors: Colley Mark , Fabian Tim , Rukzio Enrico
Published: September 2022

Automated vehicles are expected to substitute or even improve driver-driver communication, for example, via LED strips or displays. Numerous situations exist where ambiguities have to be resolved via gestures or implicit communication (i.e., movement). An already demanding situation is the unsignalized four-way intersection. Additionally, Vehicle-To-Everything technology enables automated vehicles to perform maneuvers impossible before such as blocking an intersection to safely let an emergency vehicle pass. Therefore, we report the results of a within-subject Virtual Reality study (N=17) evaluating these two scenarios. Results show that external communication increased perceived safety and reduced mental workload, and also that the novel behavior confused participants. Our work helps better to integrate external communication in settings with manual drivers.
Addressing Waste Separation With a Persuasive Augmented Reality App
Authors: Schaper Philipp , Riedmann Anna , Oberdörfer Sebastian , Krähe Maileen , Lugrin Birgit
Published: September 2022

Separating and recycling waste is an important topic to protect our environment and achieve a more sustainable future. However, recycling also is a complex process, as each type of waste needs a specific recycling method. This comes along with multiple recycling containers, each relevant for one specific type of waste. Ensuring a correct recycling process therefore not only requires specific infrastructure, but also a respective attitude and knowledge of the population. Stressing the need for an accessible educational opportunity addressing waste separation, we present a mobile Augmented Reality (AR) application that guides a user through a recycling process and hence scaffolds the learning of proper recycling of each type of waste. The app further provides a prototypical implementation of a product scanner, that identifies the waste type based on a marker and assists the recycling on a case-by-case decision. Using self-determination theory as a framework, we integrated gamification elements, aiming for enhanced need satisfaction, motivation and user experience. In a user study, we compared the gamified version to a control version, with both app versions yielding a high acceptance, user experience, and waste separation behavior. This indicates the importance of providing easy-to-use mobile apps allowing for a learning and assistance of proper recycling.
EatingTrak
Authors: Zhang Ruidong , Zhang Jihai , Gade Nitish , Cao Peng , Kim Seyun , Yan Junchi , Zhang Cheng
Published: September 2022

In this paper, we present EatingTrak, an AI-powered sensing system using a wrist-mounted inertial measurement unit (IMU) to recognize eating moments in a near-free-living semi-wild setup. It significantly improves the SOTA in time resolution using similar hardware on identifying eating moments, from over five minutes to three seconds. Different from prior work which directly learns from raw IMU data, it proposes intelligent algorithms which can estimate the arm posture in 3D in the wild and then learns the detailed eating moments from the series of estimated arm postures. To evaluate the system, we collected eating activity data from 9 participants in semi-wild scenarios for over 113 hours. Results showed that it was able to recognize eating moments at three time-resolutions: 3 seconds and 15 minutes with F-1 scores of 73.7% and 83.8%, respectively. EatingTrak would introduce new opportunities in sensing detailed eating behavior information requiring high time resolution, such as eating frequency, snack-taking, on-site behavior intervention. We also discuss the opportunities and challenges in deploying EatingTrak on commodity devices at scale.
Nicotinic stimulation of splenic T cells is protective in endoscopic retrograde cholangiopancreatography-induced acute pancreatitis in mice
Authors: Shahid Rafiq A. , Vigna Steven R. , Huang Min-Nung , Gunn Michael D. , Liddle Rodger A.
Published: September 2022

Epidemiological evidence indicated that acute smoking reduced the risk of endoscopic retrograde cholangiopancreatography (ERCP)-induced pancreatitis, but the mechanism has remained elusive. The current findings indicate the nicotine reduces the severity of ERCP-induced pancreatitis by stimulating a population of splenic T cells that exert a protective effect on the pancreas. These findings raise the possibility that nicotinic agonists might be useful in treating pancreatitis.
Examining enteric nervous system function in rat and mouse: an interspecies comparison of colonic motility
Authors: Yip Jackson L. K. , Balasuriya Gayathri K. , Spencer Sarah J. , Hill-Yardin Elisa L.
Published: September 2022

Mice and rats are widely used in gastrointestinal research but have fundamental differences that make them important as different models for different questions. We found that mice have a higher villi length-to-width and villi length-to-crypt depth ratio than rat in proximal colon. Using the ex vivo video imaging technique, we observed that rat colon has more prominent response to blockade of major inhibitory neurotransmitter (nitric oxide) in myenteric plexus than mouse colon.
Urinary total conjugated 3-bromotyrosine, asthma severity, and exacerbation risk
Authors: Wang Zeneng , Xu Weiling , Comhair Suzy A. A. , Fu Xiaoming , Shao Zhili , Bearden Rebecca , Zein Joe G. , Bleecker Eugene R. , Castro Mario , Denlinger Loren C. , Fahy John V. , Israel Elliot , Levy Bruce D. , Jarjour Nizar N. , Moore Wendy C. , Wenzel Sally E. , Mauger David T. , Gaston Benjamin , Hazen Stanley L. , Erzurum Serpil C.
Published: September 2022

Asthma is an inflammatory disease of the airways characterized by eosinophil recruitment, eosinophil peroxidase release, and protein oxidation through bromination, which following tissue remodeling results in excretion of 3-bromotyrosine. Predicting exacerbations and reducing their frequency is critical for the treatment of severe asthma. In this study, we aimed to investigate whether urinary total conjugated bromotyrosine can discriminate asthma severity and predict asthma exacerbations. We collected urine from participants with severe ( n = 253) and nonsevere ( n = 178) asthma, and the number of adjudicated exacerbations in 1-yr longitudinal follow-up was determined among subjects enrolled in the Severe Asthma Research Program, a large-scale National Institutes of Health (NIH)-funded consortium. Urine glucuronidated bromotyrosine and total conjugated forms were quantified by hydrolysis with either glucuronidase or methanesulfonic acid, respectively, followed by liquid chromatography-tandem mass spectrometry analyses of free 3-bromotyrosine. Blood and sputum eosinophils were also counted. The majority of 3-bromotyrosine in urine was found to exist in conjugated forms, with glucuronidated bromotyrosine representing approximately a third, and free bromotyrosine less than 1% of total conjugated bromotyrosine. Total conjugated bromotyrosine was poorly correlated with blood ( r2 = 0.038) or sputum eosinophils ( r2 = 0.0069). Compared with participants with nonsevere asthma, participants with severe asthma had significantly higher urinary total conjugated bromotyrosine levels. Urinary total conjugated bromotyrosine was independently associated with asthma severity, correlated with the number of asthma exacerbations, and served as a predictor of asthma exacerbation risk over 1-yr of follow-up.
Multiple Attribute Group Decision‐Making Models Using Single‐Valued Neutrosophic and Linguistic Neutrosophic Hybrid Element Aggregation Algorithms
Authors: Zhang Sumin , Ye Jun
Published: September 2022

Multiple attribute group decision‐making (MAGDM) issues may involve quantitative and qualitative attributes. In inconsistent and indeterminate decision‐making issues, current assessment information of quantitative and qualitative attributes with respect to alternatives only contains either numerical neutrosophic values or linguistic neutrosophic values as the single information expression. However, existing neutrosophic techniques cannot perform the mixed information denotation and aggregation operations of numerical neutrosophic values and linguistic neutrosophic values in neutrosophic decision‐making issues. To solve the puzzles, this article presents the information denotation, aggregation operations, and MAGDM models of single‐valued neutrosophic and linguistic neutrosophic hybrid sets/elements (SVNLNHSs/SVNLHEs) as new techniques to perform MAGDM issues with quantitative and qualitative attributes in the environment of SVNLNHEs. In this study, we first propose a SVNLNHS/SVNLNHE notion that consists of a single‐valued neutrosophic element (SVNE) for the quantitative argument and a linguistic neutrosophic element (LNE) for the qualitative argument. According to a linguistic and neutrosophic conversion function and its inverse conversion function, we present some basic operations of single‐valued neutrosophic elements and linguistic neutrosophic elements, the SVNLNHE weighted arithmetic mean (SVNLNHEWAMN) and SVNLNHE weighted geometric mean (SVNLNHEWGMN) operators (forming SVNEs), and the SVNLNHEWAML and SVNLNHEWGML operators (forming LNEs). Next, MAGDM models are established based on the SVNLNHEWAMN and SVNLNHEWGMN operators or the SVNLNHEWAML and SVNLNHEWGML operators to realize MAGDM issues with single‐valued neutrosophic and linguistic neutrosophic hybrid information, and then their applicability and availability are indicated through an illustrative example in the SVNLNHE circumstance. By comparison with the existing techniques, our new techniques reveal obvious advantages in the mixed information denotation, aggregation algorithms, and decision‐making methods in handling MAGDM issues with the quantitative and qualitative attributes in the setting of SVNLNHSs.
Knockdown of Long Noncoding RNA 01124 Inhibits the Malignant Behaviors of Colon Cancer Cells via miR-654-5p/HAX-1
Authors: Wu Yu-jin , Cai Zhi-quan , He Run-ming , Wang Xue-chuan , Cong Long-ling , Qiu Fang-hua
Published: September 2022

Background. Previous studies have shown that long noncoding RNAs (lncRNAs) play a key role in cancer, including colon cancer (CC). However, the exact role of long noncoding RNA 01124 (LINC01124) in CC and its mechanisms of action remain unknown. In this study, we investigated the functional effects and the possible mechanism of LINC01124 in CC. Methods. We first determined the expression of LINC01124 in CC tissues (The Cancer Genome Atlas (TCGA) database) and cell lines (quantitative real-time polymerase chain reaction (qRT-PCR)). Functional analysis via Cell Counting Kit-8 (CCK-8), colony formation, cell cycle, wound healing and Transwell assays were performed, and a mechanistic experiment was performed with the western blotting. The function of LINC01124 was also determined in vivo using nude BALB/c mice. Results. The results showed that LINC01124 was upregulated in CC tissues and cell lines. Functional studies showed that knockdown of LINC01124 significantly suppressed the proliferation, migration, and invasion of colon cancer cells in vitro and in vivo. Subsequent mechanistic experiments indicated that LINC01124 acted as a sponge to suppress microRNA 654-5p, which targeted HAX-1. Downregulation of LINC01124 decreased the expression of HAX-1, and overexpression of the miR-654-5p inhibitor attenuated the sh-LINC01124-induced inhibition of CC cell proliferation, migration, and invasion. Conclusion. Collectively, this study revealed that the knockdown of LINC01124 inhibited the malignant behaviors of CC via the miR-654-5p/HAX-1 axis, suggesting that LINC01124 might be a therapeutic target for CC treatment.
Plant Growth Promoting Rhizobacteria for Biocontrol of Tomato Bacterial Wilt Caused by Ralstonia solanacearum
Authors: Mekonnen Habtamu , Kibret Mulugeta , Assefa Fassil
Published: September 2022

Bacterial wilt induced by Ralstonia solanacearum is one of the most damaging and widespread diseases of tomatoes in the world. Biological control with rhizobacteria is one of the efficient components of integrated pest management methods used to control the disease and enhance production. To this end, plant growth-promoting rhizobacteria (Bacillus isolate BDUA1, and Pseudomonas isolates BBDUA2 and BDUA3) isolated from the tomato rhizosphere were evaluated for their plant growth-promoting traits using standard methods, and selected isolates were also tested for their biocontrol efficacy on tomato bacterial wilt disease under greenhouse conditions. All isolates produced cellulase and lipase, and only BDUA1 and BDUA3 produced protease and amylase. Besides, BDUA1 and BDUA2 showed phosphate solubilization and production of indole-3-acetic acid, HCN, and siderophore, while BDUA3 solubilized phosphate and produced HCN and siderophore. Our results showed that BDUA1 and BDUA2 reduced bacterial wilt incidence on the Maya variety by 51.9% and 48.5%, respectively, and on the Melkesalsa variety by 51.8% and 48.5%, respectively. Treatment of the Melkesalsa variety with BDUA1 displayed the highest height (36.91 cm), followed by treatment with BDUA2 (31.74 cm) on the same variety. BDUA1 induced the highest effect on increasing the dry weight of shoots and roots by 4.16 g and 0.59 g in the Maya variety and in the Melkesalsa variety by 3.63 g and 0.48 g, respectively. Similarly, BDUA2 had the greatest effect on increasing the dry weight of shoots and roots by 3.8 g and 0.54 g of the Maya variety and on the Melkesalsa variety by 3.12 g and 0.41 g, respectively. The overall result showed that BDUA1 and BDUA2 could be used as promising plant growth promotion and biocontrol agents for the management of tomato bacterial wilt disease provided they were validated under field conditions.
Immunomodulatory Effects of Combined Ethanol Extracts of Curcuma mangga and Picria fel-terrae on Cellular- and Humoral-Mediated Immunity in Wistar Rats and Mice
Authors: Yuandani Yuandani , Jantan Ibrahim , Laila Lia , Marianne Marianne , Wira Septama Abdi , Lintang Ngagami , Almadani Putri , Friti  , A’ini Syarifah
Published: September 2022

Previous studies have shown that the extracts of Curcuma mangga Valeton & Zijp rhizomes and Picria fel-terrae Lour. leaves could modulate cellular- and humoral-mediated immunity in macrophages and animal models. In the present study, the immunomodulatory effects of combined ethanol extracts of C. mangga rhizomes and P. fel-terrae leaves were investigated on cellular- and humoral-mediated immunity in Wistar rats and mice. The phytochemical constituents of the ethanol extracts of C. mangga and P. fel-terrae, and combined extracts were analyzed by high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS). Mice were orally administered with combined extracts of C. mangga and P. fel-terrae (1 : 1) at doses of 25, 50, and 100 mg/kg·bw for 7 days, and the carbon clearance method was used to investigate their phagocytosis activity. Wistar rats were treated orally with the combined extracts 72 h prior to sensitization with Staphylococcus aureus and continued for 14 days. The effect of extracts on delayed-type hypersensitivity (DTH) response was determined by the paw edema method, while the effects on antibody (IgG and IgM) and interleukin-2 (IL-2) production were analyzed using enzyme-linked immunosorbent assay (ELISA). Picfeltarraenin VI and ferruginol were the major components in the extracts of P. fel-terrae and C. mangga, respectively. The combined extracts at 1 : 1 ratio demonstrated a dose-dependent stimulation of both cellular- and humoral-mediated immunity in both animal models. The combined extracts displayed the strongest stimulation on DTH response and phagocytosis activity at 100 mg/kg·bw, which were comparable with those of the positive control, levamisole. IgG and IgM production and IL-2 release were also stimulated after treatment with extracts. The combined extracts of C. mangga and P. fel-terrae possess strong stimulatory activities on cellular- and humoral-mediated immunity and may be developed as a potential nutraceutical for the modulation of immune responses.
[Retracted] Construction of Smart Higher Education Teaching Resources Using Data Analysis Technology in Unbalanced Data Environment
Authors: Luo Yuting
Published: September 2022

The difficulty in gathering teaching resources presents challenges in the process of developing instructional materials for smart higher education. This essay makes a research proposal for a study using data mining technology to create instructional materials for smart higher education. The analysis of the dynamic scheduling mechanism of intelligent higher education teaching resources based on data analysis technology in unbalanced data environment follows research on the establishment of teaching materials from the discovery of teaching materials, the marking of teaching materials, and the organization of teaching materials. In the end, it is determined that class A students’ grades are unquestionably higher than those of class B students. Of course, there are some class B students who score higher than average, but class B students tend to score between 50 and 60 points on average, whereas class A students tend to score higher than average. The contrast is greater, and there are more pupils scoring between 90 and 100. The average grade for students in class A is 80.125, whereas the average grade for students in class B is 71.45. The lowest score in Class B is 51, the lowest score in A is 58, and the greatest score in A is up to 98. It is clear that the development of intelligent teaching resources for higher education based on data mining technology is very successful and has been thoroughly proven.
Mitochondria-Targeted Antioxidant Mitoquinone Maintains Mitochondrial Homeostasis through the Sirt3-Dependent Pathway to Mitigate Oxidative Damage Caused by Renal Ischemia/Reperfusion
Authors: Mao Hu , Zhang Ye , Xiong Yufeng , Zhu Zijing , Wang Lei , Liu Xiuheng
Published: September 2022

Mitochondrial dysfunction is a critical factor contributing to oxidative stress and apoptosis in ischemia-reperfusion (I/R) diseases. Mitoquinone (MitoQ) is a mitochondria-targeted antioxidant whose potent anti-I/R injury capacity has been demonstrated in organs such as the heart and the intestine. In the present study, we explored the role of MitoQ in maintaining mitochondrial homeostasis and attenuating oxidative damage in renal I/R injury. We discovered that the decreased renal function and pathological damage caused by renal I/R injury were significantly ameliorated by MitoQ. MitoQ markedly reversed mitochondrial damage after I/R injury and inhibited renal reactive oxygen species production. In vitro, hypoxia/reoxygenation resulted in increased mitochondrial fission and decreased mitochondrial fusion in human renal tubular epithelial cells (HK-2), which were partially prevented by MitoQ. MitoQ treatment inhibited oxidative stress and reduced apoptosis in HK-2 cells by restoring mitochondrial membrane potential, promoting ATP production, and facilitating mitochondrial fusion. Deeply, renal I/R injury led to a decreased expression of sirtuin-3 (Sirt3), which was recovered by MitoQ. Moreover, the inhibition of Sirt3 partially eliminated the protective effect of MitoQ on mitochondria and increased oxidative damage. Overall, our data demonstrate a mitochondrial protective effect of MitoQ, which raises the possibility of MitoQ as a novel therapy for renal I/R.
Development of Microscopy Apparatus Switchable between Fluorescence and Ultralow-Frequency Raman Modes
Authors: Takazawa Ken
Published: September 2022

In this study, a microscopy apparatus that can switch between the fluorescence microscopy and ultralow-frequency Raman microscopy modes was developed. The apparatus can be easily constructed by equipping a standard epi-illumination microscope with an additional port featuring a removable half mirror. Owing to the switchability, fluorescence imaging, and spectroscopy, Raman spectroscopy in the frequency range down to ∼10 cm−1 can be performed using the apparatus. To demonstrate the advantageous features of this apparatus, micron-sized crystals of perylene, which have two polymorphic forms, were analyzed. The two polymorphs were clearly identified based on their shapes, fluorescence spectra, and ultralow-frequency Raman spectra, all of which can be observed with our apparatus alone. These results indicate that the apparatus is a powerful tool for the analysis and characterization of various nano-/micron-sized crystals.
[Retracted] Analysis of the Stage Performance Effect of Environmental Protection Music and Dance Drama Based on Artificial Intelligence Technology
Authors: Zeng Li
Published: September 2022

There are a lot of environmental protection musicals and dances in public entertainment life to support the concept of environmental protection and to entice people to support the cause of environmental protection. As we all know, in a musical performance, the distance between the audience and the actors, the design of the stage environment, the training of the actors, the costumes of the actors, the makeup of the actors, and the musical accompaniment will all have more or less influence on the stage performance effects. In order to make environmental protection music and dance dramas profoundly meaningful to social production and human activities, it is especially important to analyze the stage performance of such music and dance dramas. The analysis of stage performance effects is not only beneficial to making the ideas spread by the music and dance drama penetrate into people’s hearts but can also provide guiding suggestions for the production of music and dance drama. Therefore, this paper proposes a linear regression algorithm based on artificial intelligence to deeply explore and analyze the influence of the above six factors on the stage performance effects of environmental protection music and dance drama. In our method, first we preprocess the data collected by classification to remove the odd values from the data so that the various types of data conform to a normal distribution. Secondly, we obtained linear fit plots of the six factors with the stage performance effect scores by using a linear regression algorithm to deeply analyze the correlation between various types of data and the stage performance effect scores. Finally, through numerical calculations, we found that the distance between the audience and the actors, the training of the actors, and the musical accompaniment have a greater influence on the performance effect of the musical cabaret in the environmental protection category. Meanwhile, the costumes of the actors, the makeup of the actors, and the design of the stage environment have less influence on the performance effect of the musical cabaret. Therefore, in the production and performance of environmental protection music and dance dramas, producers and performers should pay more attention to the distance between the audience and the actors, the design of musical accompaniment, and the training of actors. To sum up, this paper has made a scientific, detailed, and reasonable analysis of the performance effect of environmental protection music and dance dramas on stage, contributing to the dissemination of environmental protection ideas.
Determination of Benzalkonium Chloride in a Disinfectant by UV Spectrophotometry and Gas and High-Performance Liquid Chromatography: Validation, Comparison of Characteristics, and Economic Feasibility
Authors: Smolinska Mariia , Ostapiv Roman , Yurkevych Mariia , Poliuzhyn Liubov , Korobova Olha , Kotsiumbas Ihor , Tesliar Hryhorii
Published: September 2022

Simple, fast, and validated UV-spectrophotometric, HPLC, and GC methods for the analysis of benzalkonium chloride in a disinfectant were developed. UV-spectrophotometric determination was based on measuring the amount of light absorption of aqueous solutions of benzalkonium chloride at 268 nm. HPLC determination was achieved with a 150 mm × 4.6 mm, 5.0 μm C18 column. The mobile phase consisted of a 0.01% water solution of triethylamine (with pH 2.5) and acetonitrile in the ratio of 40 : 60 v/v. The column temperature was kept at 30°C, and the injection volume was 10 μL. The flow rate was 1.0 mL/min, and the diode array detector was set at 215 nm. GC determination was performed using a flame ionization detector on a glass capillary column ZB-WAX plus 30 m × 0.25 mm with an inner coating thickness of 0.25 μm. It creates a gradient increase in the temperature of the furnace to the maximum of 200°C. The temperature of the injector was 250°C, 1 μl was injected, and the separation of the sample was 1 : 100. Helium was used as a carrier gas, and the gas flow rate was constant, equaling 1.6 ml/min. The temperature of the detector was 250°C, and a mixture of hydrogen, helium, and air in a ratio of 30 : 8.5 : 350 was used in the split of the detector. All proposed methods were validated according to ICH guidelines with respect to the accuracy, precision (interday, intraday, and reproducibility), linearity, the limit of detection, the limit of quantitation, and robustness. All three methods were linear (R2 = 0.997–0.999) over a concentration range of 400–600 μg/ml for UV and 80–120 μg/ml for HPLC and GC, accurate (recovery was 98.4–101.7% for all methods), precise (RSD <2%), and robust. The cost of the analysis of one sample of the disinfectant for the content of benzalkonium chloride by three methods was calculated. The comparison of the obtained results facilitates a more efficient allocation of laboratory resources, depending on the goal.
Meta-IP: An Imbalanced Processing Model Based on Meta-Learning for IT Project Extension Forecasts
Authors: Li Min , Zhang Yumeng , Han Delong , Zhou Mingle
Published: September 2022

With increasing developments in information technology, IT projects have received widespread attention. However, the success rate of large information technology projects is extremely low. Most current extension forecast models are designed based on a balanced number of samples and require a large amount of training data to achieve an acceptable prediction result. Constructing an effective extension forecast model with a small number of actual training samples and imbalanced data remains a challenge. This paper proposes a Meta-IP model based on transferable knowledge bases with few-shot learning and a model-agnostic meta-learning improvement algorithm to solve the problems of sample scarcity and data imbalance. The experimental results show that Meta-IP not only outperforms many current imbalance processing strategies but also resolves the problem of having too few samples. This provides a new direction for IT project extension forecasts.
Global Trends in Research of Treatment on Bladder Cancer with Chinese Medicine Monomer from 2000 to 2021: A Bibliometric Analysis
Authors: Li Desheng , Zuo Minfang , Hu Xinming
Published: September 2022

Bladder cancer is a malignant tumor that occurs on the mucous membrane of the bladder. It is the most common malignant tumor of the urinary system and one of the top ten common tumors in the whole body. This bibliometric analysis was applied to identify the characteristics of global scientific output, the hotspots, and frontiers about treatment on bladder cancer with Chinese medicine monomer over the past 22 years. We retrieved publications published from 2000 to 2021 and their recorded information from Web of Science Core Collection (WoSCC). VOSviewer and CiteSpace were used to analyze bibliometric indicators and visualize the trend and hotspots of researches on bladder cancer with Chinese medicine monomer. Altogether, 658 original articles were reviewed, and the results showed that the annual number of publications (Np) shows an upward trend over the past 22 years as a whole. The US produced the most papers, and the number of citations (Nc) and

H

-index of the US ranked first. Johns Hopkins University and BJU International were the most prolific affiliation and journal, respectively. Recently, the keywords “NF-kappa B” appeared frequently. Besides, quercetin is the most thorough research in the treatment of bladder cancer with Chinese herbal compound, but whether quercetin is the most potent compound needs further study.
Generic Structure Construction of 3D Assembly Model Based on Conjugate Subgraph
Authors: Qiao Hu , You Liang , Hu Sibo , Liu Shanshan , Xiang Ying
Published: September 2022

As an important resource under the background of digital design technology, 3D assembly model plays a great role in many complex product design occasions. Based on the existing 3D model database, how to find and reuse the effective information that meets their own needs in many models is one of the important ways to provide design efficiency. The research content of this paper is to build a general assembly model according to the requirements of 3D assembly model. Based on the common structure, the general structure aims to integrate as much model information as possible to meet the design needs of designers in different periods and conditions. Due to the large number of components in the 3D assembly model, blindly improving hardware cost is the root of the problem. To improve quality and efficiency from the source, we need to start with the source of input. This paper simplifies the analysis of 3D assembly model information, which can not only improve the construction efficiency of the general structure of 3D assembly model but also highlight the assembly characteristics of 3D assembly model and facilitate the matching of assembly features during the construction process. Firstly, based on the attributes of assembly features and matching relationship, combined with the idea of conjugate, the matching problem between two features in the model is solved by using the idea of conjugate subgraph matching. Secondly, based on the Ullmann algorithm, combined with the definition of conjugate subgraph and related optimization operations, a conjugate subgraph matching algorithm based on vertex screening is proposed. Finally, the construction process of the general structure is proposed, and the general structure of 3D assembly model is established.
Bio-Optimization of Deep Learning Network Architectures
Authors: P Shanmugavadivu , M Mary Shanthi Rani , P Chitra , S Lakshmanan , P Nagaraja , U Vignesh
Published: September 2022

Deep learning is reaching new heights as a result of its cutting-edge performance in a variety of fields, including computer vision, natural language processing, time series analysis, and healthcare. Deep learning is implemented using batch and stochastic gradient descent methods, as well as a few optimizers; however, this led to subpar model performance. However, there is now a lot of effort being done to improve deep learning’s performance using gradient optimization methods. The suggested work analyses convolutional neural networks (CNN) and deep neural networks (DNN) using several cutting-edge optimizers to enhance the performance of architectures. This work uses specific optimizers (SGD, RMSprop, Adam, Adadelta, etc.) to enhance the performance of designs using different types of datasets for result matching. A thorough report on the optimizers’ performance across a variety of architectures and datasets finishes the study effort. This research will be helpful to researchers in developing their framework and appropriate architecture optimizers. The proposed work involves eight new optimizers using four CNN and DNN architectures. The experimental results exploit breakthrough results for improving the efficiency of CNN and DNN architectures using various datasets.
Discrete Dynamic Modeling Analysis of College Students’ Ideological and Political Education Based on Particle Swarm Optimization Algorithm
Authors: Wang Huiling
Published: September 2022

Today, with the rapid development of the Internet, the new carrier and platform of college students’ ideological and political education innovation need to be improved. In order to improve the timeliness of college students’ ideological and political research, in view of this characteristic, particle algorithm is studied. Combined with the principle of particle algorithm, the core idea of particle algorithm is applied. College students think about their past behaviors and conduct self-evaluation and reflection. On the other hand, it is the competition and cooperation between multiple academic groups. Combined with particle swarm optimization algorithm, through model optimization, deal with the fitness value between the two attributes to optimize the work. Positive and negative excitation measures are introduced in the experimental research, and the particle swarm optimization evaluation function and behavior weighting factor are analyzed to hypothetically describe the working method. At the same time, it is pointed out that the educational working methods should be adjusted in time according to the changes of student groups and individual behaviors, so as to achieve good work results. Research shows that positive incentives are better than no incentives, and the introduction of negative incentives can only prevent college students from becoming negative role models because they cannot give them the best state of consciousness.
Phosphate and Nitrate Removal from Coffee Processing Wastewater Using a Photoelectrochemical Oxidation Process
Authors: Bidira Firomsa , Asmelash Zerihun , Kebede Seifu , Bekele Abreham
Published: September 2022

Water quality, whether utilized for home, irrigation, or recreational reasons, is crucial for health in both developing and developed countries around the world. For the treatment of nitrate (NO3) and phosphate (PO3) from coffee processing wastewater, photoelectrochemical oxidation was used. This process is mainly used to destroy pollutants through the production and use of powerful oxidized species such as hydroxyl radical (OH). It investigated the effects of Uv/H2O2 on electrochemical processes and the effects of various parameters such as pH, time, current, and electrolytes. The results were calculated and analyzed using response surface methodology and Microsoft Excel. Hybrid photoelectrochemical oxidation (PECO) using UV and hydrogen peroxide (UV/H2O2) methods removed nitrates (99.823%) and phosphates (99.982%). These results were obtained with pH 7, current 0.40 amperes, and 1.5 g calcium chloride after 40 minutes of electrolysis. CaCl2 was more effective in removing organic compounds from coffee processing wastewater. An analysis of variance (ANOVA) with a 95% confidence limit was used to determine the significance of the independent variable.
Histopathological Characteristics of Cutaneous Melanoma in Isfahan, Iran, from 2013 to 2018
Authors: Malakoutikhah Zahra , Mohaghegh Fatemeh , Karimi Siavash , Rajabi Parvin , Tabatabaei Elham T.
Published: September 2022

Objectives. To investigate the histopathological characteristics of cutaneous melanoma in Isfahan from 2013 to 2018, according to histopathological subtype, lesions location, Clark level, and Breslow thickness. Methods. A descriptive, retrospective study in reports of Alzahra Hospital and Dr. Rajabi Pathology Laboratory in Isfahan. Results. In total, 45 patients were included in this study. The most prevalent histopathological subtype was acral lentiginous melanoma (48.89%), followed by lentigo maligna melanoma (17.78%), nodular melanoma (11.11%), and superficial spreading melanoma (8.89%). Most malignant lesions were on the foot and toes (31.1%) and face (24.4%). Tumor invasion level was mainly at Clark level IV (42.2%). Furthermore, the mean depth of tumor penetration (Breslow thickness) was 3.87 ± 3.35. Conclusions. Our study revealed the characteristics of melanoma in the Iranian population. Our results showed a similar trend with previous studies in the Asian population. Further investigations are needed to elucidate the role of ethnic and environmental risk factors for developing melanoma in different populations.
Examination of Friction Stir-Welded AA 6262/5456 Joints through the Optimization Technique
Authors: Vijayakumar S. , Manickam Selvaraj , Seetharaman Suresh , Rao T.V.Janardhana , Pounraj Devabalan , Pydi Hari Prasadarao
Published: September 2022

Friction stir welding (FSW) is the solid state welding technique which is mostly utilized to join similar and dissimilar Al, Cu, Mg, and their alloys. This research investigated that the tensile strength of FSW dissimilar Al6262 and Al5456 of 4 mm thickness is carried out using an H-13 tool pin along with different process variables such as tool rotational speed (TRS), welding speed (WS), and tool tilt angle (TTA). The selected parameters are set as TRS of 900, 1100, and 1400 rpm, WS of 20, 30, and 40 mm/min with TTA of 2, 2.5, and 3° to find out significant parameters on tensile strength (TS). The Taguchi L27 method is taken to create a number of experiments to recognize the optimal level of each parameter to accomplish the highest TS value. From the experimental results witnessed, the extreme TS (202.44 MPa) is acquired at sample 22 when maintaining TRS-1400 rpm, WS-30 mm/min, and TTA-2 degree, whereas minimum TS (165.88 MPa) is attained at sample 15 of TRS-1100 rpm, WS-30 mm/min, and TTA-3 degree. The ANOVA outcome revealed that TRS is the most significant factor (23.24%) which improves the tensile property of joints, followed by a weld speed of 21.7% and a combination of tool speed and weld speed (16.17%). The increment in the tool tilt angle does not play a vital role in improving the TS value, and MINITAB -17 software helped to find a relation between the parameters in the regression equation.
The Regulatory Effects of Traditional Chinese Medicine on Ferroptosis
Authors: Gao Qian , Yin Xue-dong , Zhang Fan , Zhu Yi-Zhun , Li Zhi-ling
Published: September 2022

Traditional Chinese medicine (TCM) has significantly contributed to protecting human health and promoting the progress of world civilization. A total of 2,711 TCMs are included in the 2020 version of the Chinese Pharmacopoeia, which is an integral part of the world’s medical resources. Tu Youyou and her team discovered and purified artemisinin. And their contributions made the values and advantageous effects of TCM more and more recognized by the international community. There has been a lot of studies on TCM to treat diseases through antioxidant mechanisms, the reports on the new mechanisms beyond antioxidants of TCM has also increased year by year. Recently, many TCMs appear to have significant effects in regulating ferroptosis. Ferroptosis is an iron-dependent, non-apoptotic, regulated cell death characterized by intracellular lipid peroxide accumulation and oxidative membrane damage. Recently, accumulating studies have demonstrated that numerous organ injuries and pathophysiological process of many diseases are companied with ferroptosis, such as cancer, neurodegenerative disease, acute renal injury, arteriosclerosis, diabetes, and ischemia-reperfusion injury. This work mainly introduces dozens of TCMs that can regulate ferroptosis and their possible mechanisms and targets.
Pricing Decisions in Dual‐Channel Supply Chain considering Different Fairness Preferences and Low‐Carbon Advertising Level
Authors: Huo Hong , Luo Dan , Yan Zhanghua , He Hao
Published: September 2022

Countries around the world advocate low‐carbon, green, and environmentally friendly lifestyles to combat climate change, which provides clear direction for enterprise decisions. This paper studies a low‐carbon dual‐channel supply chain based on behavioral economics, incentive theory, and optimization models to better formulate pricing decisions. This paper constructs a fair and neutral decentralized decision‐making model (FNDD), a decentralized decision‐making model considering Nash bargaining fairness concerns (NBFDD), a decentralized decision‐making model considering absolute fairness concerns (AFDD), and a fair and neutral centralized decision‐making model (FNCD) considering consumer preferences and the situations where supply chain members are fairness concerns or fairness neutrality. This paper analyzes the effect of low‐carbon advertising level on pricing strategies of online retailers and offline stores and compares pricing strategies of online retailers and offline stores in four decisions. The results show that Nash bargaining fairness concerns of supply chain members could effectively reduce the retail price of low‐carbon products and increase their sales volumes. Absolute fairness concerns intensify the dual marginal effect of decentralized decision‐making.
Quest_SA: Preprocessing Method for Closed-Ended Questionnaires Using Sentiment Analysis through Polarity
Authors: Jayanthi M Amala , Shanthi I Elizabeth
Published: September 2022

Sentiment analysis is a prominent research topic in natural language processing, with applications in politics, news, education, product review, and other sectors. Especially in the education sector, sentiment analysis can assist educators in finding students’ feelings about a course on time, altering the teaching plan appropriately and timely to improve the quality of education and teaching. For students, the sentiment analysis can identify emotions, academic performance, behaviour, and so on; the primary purpose of this research paper is to analyze students’ emotions, self-esteem, and efficacy based on closed-ended questionnaires. This paper proposes Quest_SA, which uses the sentiment analysis technique to identify students’ emotions based on the answer provided by a closed-ended questionnaire. The polarity value is assigned for each questionnaire scale. The students’ responses are then gathered using a closed-ended questionnaire, and the student’s emotions are classified using a polarity-based method of sentiment analysis. Finally, sentiment scores and emotion variance were used to evaluate the outcomes. According to the sentiment ratings, students have favourable sentiments and emotions such as unhappy, somewhat happy, and happy. The real-world closed-ended questionnaires such as emotional intelligence, Eysenck, personality, self-determination scale, self-efficacy, Rosenberg’s self-esteem, positive and negative affect schedule, and Oxford happiness questionnaires were used to examine the academic performance with the proposed sentiment analysis. This study inferred that the proposed sentiment analysis preprocessing method with polarity scores is as accurate as the standard value calculation.
Cross-Corpus Speech Emotion Recognition Based on Transfer Learning and Multi-Loss Dynamic Adjustment
Authors: Tao Huawei , Wang Yang , Zhuang Zhihao , Fu Hongliang , Guo Xinying , Zou Shuguang
Published: September 2022

In this paper, we do research on cross-corpus speech emotion recognition (SER), in which the training and testing speech signals come from different speech corpus. The mismatched feature distribution between the training and testing sets makes many classical algorithms unable to achieve better results. To deal with this issue, a transfer learning and multi-loss dynamic adjustment (TLMLDA) algorithm is initiatively proposed in this paper. The proposed algorithm first builds a novel deep network model based on a deep auto-encoder and fully connected layers to improve the representation ability of features. Subsequently, global domain and subdomain adaptive algorithms are jointly adopted to implement features transfer. Finally, dynamic weighting factors are constructed to adjust the contribution of different loss functions to prevent optimization offset of model training, which effectively improve the generalization ability of the whole system. The results of simulation experiments on Berlin, eNTERFACE, and CASIA speech corpora show that the proposed algorithm can achieve excellent recognition results, and it is competitive with most of the state-of-the-art algorithms.