bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dye adsorption performance of nanocellulose beads with different carboxyl group content
Authors: Xue Jianghua , Zhu Enwen , Zhu Hengfeng , Liu Dongning , Shi Zhuqun , Xiong Chuanxi , Yang Quanling 
Published: August 2022

Abstract
The problems caused by water pollution are increasingly serious, wastewater contains a lot of heavy metal ions, textile dyes, medicines, etc. However, most adsorption materials usually face problems such as inefficient recycling, high cost, and secondary pollution. As a natural polymer, cellulose has low cost, degradability and good biocompatibility. In this work, by changing the addition amount of sodium hypochlorite during 2,2,6,6-Tetramethylpiperidine-1-oxyl radical (TEMPO) oxidation, nanocellulose with different carboxyl content could be prepared, which is expected to be a good high-efficiency cationic adsorbent due to its rich in hydroxyl groups on the surface and negatively charged. Then the calcium chloride solution was used as the cross-linking agent to prepare nanocellulose beads (TOCNB) by the dropping solidification method. As the content of carboxyl groups increases, the Zeta potential value of the nanocellulose dispersion became increasingly negative. The nanocellulose beads all presented a good three-dimensional network porous structure. With the increase of carboxyl group content, the specific surface area increases from 173 m2 g− 1 to 367 m2 g− 1, and the adsorption capacity for methylene blue (MB) also gradually strengthened. The saturated adsorption capacity of TOCNB on MB was calculated as high as 925.93 mg g− 1. The nano cellulose bead was a cationic adsorbent with highly efficient adsorption and adjustable specific surface area, and the preparation method was simple, fast, efficient and green.
A network pharmacology study to determine the integrated application of dietary plant-derived natural flavonoids and gut microbiota against nonalcoholic fatty liver disease
Authors: Oh Ki-Kwang , Gupta Haripriya , Ganesan Raja , Sharma Satya Priya , Won Sung-Min , Jeong Jin-Ju , Lee Su-Been , Cha Min-Gi , Kwon Goo-Hyun , Jeong Min-Kyo , Min Byeong-Hyun , Hyun Ji-Ye , Eom Jung-A , Park Hee-Jin , Yoon Sang-Jun , Choi Mi-Ran , Kim Dong Joon , Suk Ki-Tae 
Published: August 2022

Abstract
Background
Nonalcoholic fatty liver disease (NAFLD) has been issued in a wide range of complicated progressive interruption such as steatosis, fibrosis, cirrhosis, and even hepatocellular carcinoma. However, a key therapy to unravel the progressive diseases associated with NAFLD has not been established completely among taking many of the potential compounds. In the context of the unfinished project, we comprised metabolites of gut microbiota (endogenous species) and dietary plant-derived natural flavonoids (exogenous species) known as potent antioxidant, antiinflammation, and anticancer, in search for combinatorial effects via network pharmacology analysis.
Results
We identified the 668 overlapping targets related to metabolites from gut microbiota between SEA and STP; and we selected 14 out of 16 flavonoids because the 2 flavonoids were violated by Lipinski’s rule. The flavonoids’ targets were 112, compared with the 668 overlapping targets to identify the significant targets. Then, we identified the final 47 intersecting targets against NAFLD. On PPI networks, both VEGFA and AKT1 had the highest degree value, which were considered as hub targets against NAFLD. In bubble chart, cAMP signaling pathway was a key mode to be functioned as inhibitive mechanism. On the networks of microbiota (or natural products)-metabolites-targets-key signaling pathway, Enterococcus sp. 45, Escherichia sp.12, Escherichia sp.33, and Bacterium MRG-PMF-1 as key microbiota; flavonoid-rich products as key natural resources; luteolin, and myricetin as key metabolites (or dietary flavonoids); CFTR, PIK3R1, and AKT1 as key targets are potential key components to treat NAFLD, by suppressing cAMP signaling pathway.
Conclusion
In this study, we suggested that four components (microbiota, metabolites, targets, and a key signaling pathway) and dietary plant-derived natural flavonoids can be exerted combinatorial pharmacological effects against NAFLD.
LPS infection augmented ROS accumulation regulates inflammation and apoptosis via Erk1/2MAPK/Akt/NF-κB pathways in keratinocytes after 2-chloroethyl ethyl sulphide challenge
Authors: Sagar Satish , Kumari Golden , Parida Soumya Ranjan , Pal Arttatrana 
Published: August 2022

Abstract
A monofunctional analog of sulfur mustard, 2-chloroethyl ethyl sulphide (CEES) is a well-known chemical warfare agent that induces vesicles/blisters on cutaneous toxicity in exposed individuals. However, gram-negative bacterial endotoxin lipopolysaccharide (LPS) infection with CEES exposure enhances the keratinocytes injury remains unknown. Here, we investigated the molecular mechanism of LPS infection augmented the reactive oxygen species (ROS) accumulation triggered the expression of inflammatory mediators, leading to membrane damage, disruption of cell-cell comunication and apoptosis via Erk1/2MAPK/Akt/ NF-κB pathways after CEES challenge in keratinocytes. Our results showed that LPS infection with CEES exposure increased the intracellular superoxide (O2•−), hydroxyl radical (OH·) and hydrogen peroxide (H2O2). Further, accumulated ROS activated Erk1/2MAPK, Akt, tuberin-mTOR and NF-κB in keratinocytes. The activated NF-κB stimulates inflammatory mediators, which was subsequently subdued lipids and proteins damage leading to crash the cell-cell communication and apoptosis. Protection against LPS infection with CEES toxicity could also be performed by blocking of ROS accumulation with antioxidant N-acetyl-L-cysteine (NAC) or Erk1/2MAPK or Akt inhibitors, which inhibited the intracellular redox-sensitive signaling pathways, inflammation, cell-cell communication and apoptosis. These results illustrated that accumulated ROS in keratinocyte cells function as a key NF-κB signaling pathway via Erk1/2MAPK/Akt/tuberin-mTOR regulatory signaling cascades induced by CEES exposure after LPS infection, leading to inflammation, loss of cell-cell communication and apoptosis, which was attenuated by antioxidant NAC or Erk1/2MAPK or Akt inhibitors. Moreover, the protective effects of all these inhibitors might provide the basis for the development of a therapeutic strategy to work against exposure to CEES with bacterial endotoxin infection.
Control Algorithm for 6 kW Hall Thruster
Authors: Matsunaga Yoshiki , Watanabe Hiroki , Cho Shinatora , Funaki Ikkoh , Kusawake Hiroaki , Kajiwara Kazuhiro , Kurokawa Fujio , Takahashi Toru 
Published: August 2022

Abstract
This paper presents a control algorithm for ensuring the stable operation of a 6 kW Hall thruster. The Japan Aerospace Exploration Agency is developing a “wide-range” power processing unit (PPU) to power a 6 kW Hall thruster system, a candidate for all-electric satellites. The PPU provides discharge oscillation, power, and discharge current control. The increments in the control loop are fixed, so the PPU digital controller does not need to calculate them, and the algorithm's computational complexity is minimal. Results of integration tests on the 6 kW Hall thruster and the PPU breadboard model showed that the three control functions run correctly. The total controlled PPU power was adjusted in the range of 3.45–3.55 kW under constant power control with a target of 3.5 kW. Oscillations of ±0.05 kW around the target power are acceptable. Discharge oscillation control decreased the number of 0.1 ms segments with amplitudes exceeding 1.5 A from 700 to 0 by changing the coil current. The PPU successfully controlled the coil current, reducing the discharge current from 13.7 A to 13 A. The propulsion efficiency increased from 59% to 60.5%.
Development of chloroplast derived SSR markers for genus Allium and their characterization in the allies for genetic improvement of alliums
Authors: Jayaswall Kuldip , Sharma Himanshu , Bhandawat Abhishek , Sagar R. , Jayaswal Deepanshu , Kumar Akash , Sharma Isha , Chaturvedi Pratibha , Manjunathagowda Dalasanuru Chandregowda , Mahajan Vijay , Kumar Sanjay , Singh Major 
Published: August 2022

Abstract

Alliums are the most popular for their culinary usage and nutraceutical benefits. Their productions are greatly affected by the multiple biotic and abiotic stresses. Poor characterizations of genetic resources are the major bottleneck in genetic improvement of alliums. Chloroplast derived simple sequence repeat (cpSSR) have recently gained much popularity due to their maternal inheritance and low recombination along with their hypervariable nature. In this study, 22 chloroplast-derived SSR markers were produced from chloroplast genomes of A. cepa and A. sativum. Repeat comparison revealed tri nucleotide repeats were in higher proportion (50%) compared to other repeat motifs. The number of alleles ranged from 2 to 4, heterozygosity from 0.009 to 0.540, and PIC from 0.007 to 0.427. The polymorphism survey and clustering of twenty-two cpSSR markers of twenty-five alliums, lead to three groups (groups I, II, and III), indicated the usefulness of these cpSSR markers. This demonstrated that cultivated A. cepa and A. sativum belong to different groups II than most wild alliums, confirming the usefulness of the AccpSSR and AscpSSR markers that will allow introduction of desirable biotic and abiotic tolerance traits from various wild alliums to selected cultivated alliums. In addition, these cpSSRs were validated in 79 alliums, divided them into three groups using Jaccard dissimilarity and Bayesian model-based structure analysis. Subsequent clustering allowed us to identify diverse alliums, for constructing core collection of germplasm resource. The study will be useful for molecular breeding and genomic selection based crop improvement.
Performance Analysis of Low Power Interior PMSM with different magnet Topology in Rotor Using FEM
Authors: Naik Supriya , Bag Baidyanath , Chandrasekaran Kandasamy 
Published: August 2022

Abstract
Study and performances analysis of magnet design on rotor surface of permanent magnet synchronous machine (PMSM) based on finite element method (FEM) is presented. Three-phase PMSM has been investigated and numerical simulation performed using FEM with the aid of ANSYS Maxwell 2018.1 software. This research presents the positional variation of permanent magnets and their effects on the performance of the three-phase PMSM. The FEM is used as a technique for simulation besides the possibility of dealing with nonlinear equations. The PMSM involves a complex electromagnetic reaction, the authors used the ANSYS program to analyze and represent the performance of the motor under variable conditions. The case studied in this proposal is for three phases 220V, 50Hz, 0.55kW PMSM. Five rotor topologies namely, (i) spoke/tangential, (ii) saturable bridge/ U-shape (iii) V-shape (iv) radial, and (v) segmented bridge permanent magnet (PM) rotor is considered in the study. The aim of this research is to investigate the effect of a variety of rotor designs with different positions of magnets on efficiency, phase current, air gap magnetic flux density, and torque of PMSM. The ANSYS software has been used to model and simulate all topologies considered. In addition to the overall efficiency at steady state, electromagnetic and mechanical parameters are evaluated for each topology and comparative results are reported. The developed 2-D model shows the magnetic field distribution and performance of operational parameters under transient and steady-state conditions. The rotor shape with the smallest magnet volume is highly affecting the torque, magnetic flux, efficiency, and torque ripple. Radial force distribution with demagnetization of PM is also studied and results are reported. The obtained results show that significant changes in motor performance because of variation of PM design.
Intestinal parasitic infection, anemia and B12 deficiency among schoolchildren in Nigeria: an epidemiological study
Authors: Blessing Amisu Olawunmi , John Okesanya Olalekan , Olabode Olaleke Noah , Omolade Ologun Celina , Lucero-Prisno Don Eliseo , Oluwafunmilayo Ogunwale Victoria , Racheal Ayeni Ahuoyiza , Manirambona Emery 
Published: August 2022

AbstractBackground:Intestinal parasites,anemia and B12 deficiency are common public health problems among school-aged children, especially in a rural settlements predisposing them to several health problems and other diseases. This research assesses the parasitic infections among children under 12 years, anemia and micronutrient deficiency of the participants.Methods:This epidemiological study included 150 primary school children from 3 schools randomly selected in Elemere, a poor rural area in Kwara State, Nigeria. Their stool were collected and examined for intestinal parasites. 5ml venous blood was extracted to check forHb levels. Vitamin B12 levels of the anemic participants were determined using ELISA.Results:The prevalence of intestinal parasites was 24%, with the most common parasite asAscarisat 94.4%. Those having anemia (Hb<11.9g/dL) was 28.7%. Parasitic infection was significantly associated with hemoglobin level0.000at P-value <0.005. 30.2% of anemic participants had B12 deficiency.Conclusion:Intestinal parasites, especiallyAscariasisare highly prevalent among the school-aged children studied. Anemia is also highly prevalent with a significant association to the presence of intestinal parasites. Vitamin B12 deficiency is high among the anemic children. Further investigation needs to be carried out to determine if any relationship exists between the three variables among the population studied.
Social Adaptability Capacity of High School Students:Current Status and Influencing Factors
Authors: Nguyen My Linh Thi , Nguyen Cong Khanh 
Published: August 2022

Abstract
This study presents the survey results of 790 students of six high schools in Hanoi on social adaptability competence, which is one of the four components of social intelligence. The survey results on the current situation of social adaptability capacity show that majority of students have correct and appropriate adaptability behaviors. The majority of students rated their own social copping performance (graded by scores) from average to good (84.3%). However, there is still a significant part of high school students with weak or negative adaptability behaviors, belonging to the group of low social adaptability ability (15.7%). The survey results also found a number of factors that significantly affect the level of this ability of students. This result contributes to providing useful information in the development of educational programs and is a reliable database for generating educational solutions to improve the social adaptability capacity of high school students.
Time Series Stock Market Predictions Using Time Interval Triggered Flag Attribute Model Using Deep Learning
Authors: Kalva Sudhakar , S Naganjaneyulu 
Published: August 2022

Abstract
Despite being one of the most widely used techniques of financial management, stocks have drawn increasing numbers of investors during recent years. A substantial degree of risk is involved in buying stocks. The foremost concern for investors is how to minimise risks and maximise returns. One of the most common issues in the stock market is predicting a company's stock value. Volatility in individual profits and the health of the economy are negatively impacted by fluctuations in stock prices. One of the most widely held beliefs among humans is that investing in stock markets, which are supposed to produce excellent outcomes, is one of the finest ways to generate money. Volatility in stock market prices can occur for a variety of causes. It fosters an environment of uncertainty, which discourages constructive investment. Stock markets are notorious for their volatility. Those who are directly or indirectly involved in stock markets should be aware of it. It is necessary to create an intelligent system that can make forecasts based on a variety of indications such as fundamental, statistical, and technical trends. However, no single good predictive model has ever been able to consistently outperform market patterns. Traditionally, predictions for time series data have been made based on previous data and market trends, as well as historical correlation data and projections. Above all, there is no system that calculates projections based on a user's choice of investment type and risk tolerance. The main focus of this research work is on predicting stock market price changes. Instead of looking at daily changes, this research examines the price trend over specific time intervals by identifying turning points. To determine the increasing trend of price change, deep neural network model is used for accurate predictions. In this research work, an Efficient Time Series Stock Market Predictions using Time Interval Triggered Flag Attribute Model (ETSSMP-TITFA) using deep learning is proposed that predicts the lower bound and upper bound of stock market price predictions of multiple companies. The proposed model is contrasted with the traditional models and the results represent that the proposed model performance is better.
Face Super-Resolution via Multi-Scale Feature Fusion
Authors: Zhang Yujiao , Chen Zhenxue , Cao Jiaqian , Sun Luna , Wang Wencheng 
Published: August 2022

Abstract
Due to equipment limitations, faces collected by public monitoring platforms often have low resolution. To solve this problem, a face super-resolution model based on deep learning with multi-scale feature fusion is proposed. The low-resolution faces will be processed by this model to obtain faces with high definition, which greatly improves recognition rates. This model preprocesses the input face and then performs super-resolution reconstruction at multiple scales. At the same time, it uses the improved UNET structure to collect high-dimensional information of face images of different scales and returns to the preprocessed image for super-resolution reconstruction. It uses both high and low-frequency information efficiently and adopts a residual attention fusion module to focus on human facial features. The results show that the super-resolution face built by this model has greatly improved clarity, clearer features, and richer detail. The model is also faster than others with similar reconstruction effects.
The dynamic identification mechanism research of drought based on process description
Authors: Shaoxuan Li , Jiancang Xie , Xue Yang , Ruihua Xue , Peiyuan Zhao 
Published: August 2022

Abstract
Drought is one of the most common natural disasters, which can cause heavy losses on a global scale. Strengthening the research on drought identification mechanism has an important guiding role in drought disaster prevention and mitigation. The current drought identification is mostly static in the process of drought, and there is a problem that the historical evaluation information and the drought prediction information are not closely combined, with limited application value. Based on the physical cumulative and recessional effects of drought events, this paper further uses the Standardized Precipitation Index (SPI) to divide the whole drought process into four stages: accumulation → outbreak → reaction → restoration. In addition, this study proposes a new dynamic identification mechanism based on drought process, and develops a drought prediction model combining singular spectrum analysis and BP neural network (SSA-BPNN), filling the gap between scientific research and practical application. Using three drought events in the Yulin region of China as examples for simulation studies, the results show that the use of the new mechanism can not only improve the application value of the SSA-BPNN model, but also effectively advance the drought preparation time and resistance level.
Measuring Microtemporal Processes Underlying Preschoolers’ Screen Use and Behavioral Health: Protocol for the Tots and Tech Study
Authors: Reesor-Oyer Layton , Parker Hannah , Burkart Sarah , Smith Michal T , Dugger Roddrick , von Klinggraeff Lauren , Weaver R Glenn , Beets Michael W , Armstrong Bridget 
Published: August 2022

BackgroundExcessive screen time is associated with poor health and behavioral outcomes in children. However, research on screen time use has been hindered by methodological limitations, including retrospective reports of usual screen time and lack of momentary etiologic processes occurring within each day.ObjectiveThis study is designed to assess the feasibility and utility of a comprehensive multibehavior protocol to measure the digital media use and screen time context among a racially and economically diverse sample of preschoolers and their families. This paper describes the recruitment, data collection, and analytical protocols for the Tots and Tech study.MethodsThe Tots and Tech study is a longitudinal, observational study of 100 dyads: caregivers and their preschool-age children (aged 3-5 years). Both caregivers and children will wear an Axivity AX3 accelerometer (Axivity Ltd) for 30 days to assess their physical activity, sedentary behavior, and sleep. Caregivers will complete ecological momentary assessments (EMAs) for 1 week to measure child behavioral problems, caregiver stress, and child screen time.ResultsThe Tots and Tech study was funded in March 2020. This study maintains rolling recruitment, with each dyad on their own assessment schedule, depending on the time of enrollment. Enrollment was scheduled to take place between September 2020 and May 2022. We aim to enroll 100 caregiver-child dyads. The Tots and Tech outcome paper is expected to be published in 2022.ConclusionsThe Tots and Tech study attempts to overcome previous methodological limitations by using objective measures of screen time, physical activity, sedentary behavior, and sleep behaviors with contextual factors measured by EMA. The results will be used to evaluate the feasibility and utility of a comprehensive multibehavior protocol using objective measures of mobile screen time and accelerometry in conjunction with EMA among caregiver-child dyads. Future observational and intervention studies will be able to use this study protocol to better measure screen time and its context.International Registered Report Identifier (IRRID)DERR1-10.2196/36240