bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on Coupling and Coordinated Development of Regional Tourism Industry and New-type Urbanization Using Entropy Method: A Case Study of Guangdong-Hong Kong-Macao Greater Bay Area
Authors: Kan Xinglong , Feng Minyan
Published: November 2022

The new development pattern of "dual circulation" raises interesting questions regarding new pathways of coordinated development between the tourism industry and urbanization. The Guangdong-Hong Kong-Macao Greater Bay Area (Greater Bay Area) is a connecting area of internal and external circulation of China’s economy, and accordingly, this paper selects the “9 + 2” urban agglomeration of the Greater Bay Area as the study area. Given the differences in statistical indexes and units among Guangdong, Hong Kong and Macao, this paper selects suitable indexes to establish an evaluation system for development of the tourism industry and new-type urbanization. The paper then calculates the comprehensive development level and coupling coordination degree of the tourism industry and new-type urbanization in the 11 cities of the Greater Bay Area from 2010 to 2019 using the entropy method and coupling coordination degree model. The results show that the comprehensive development levels of and coupling coordination degree between the tourism industry and new-type urbanization in the 11 cities exhibit evident grading. Ranking the high-quality development level from high to low, the 11 cities can be divided into three echelons: Guangzhou is the first echelon, Shenzhen and Hong Kong are the second echelon, and the other cities are the third echelon. All 11 cities exhibited a steady development trend in the period. Accordingly, this paper further puts forward countermeasures and suggestions to cope with the "dual circulation" strategy and continuously enhance the benign interaction between the development of the tourism industry and the process of urbanization.
A novel dimension reduction based method to detect network intrusions
Authors: Chang Jing-Rong , Nalluri Venkateswarlu , Chen Long-Sheng , Syu Jhih-Siang
Published: November 2022

There is a steep rise in the trend of the utility of internet technology nowadays. This tremendous increase ushered in a massive amount of data generated and personal information has been stored in the cloud. For apparent reasons, undivided attention could cause huge economic losses and cause serious security issues. Therefore, effective security solutions for detecting and combating cyber-attacks have become increasingly important. In addition, intrusion detection systems can be divided into several detection methods based on data type and analysis methods. However, no one method is absolutely effective in a variety of environments. For different types of cyber-attacks, various intrusion detection systems have been developed using artificial intelligence or machine learning techniques, but with the change in attack patterns, the intrusion detection performance of these systems needs to be greatly improved. In this study, the anomaly detection concept is used to propose a new local kernel-principal component analysis (LKPCA) method to improve classification performance. In addition, we are developing two multi-class learning strategies for binary classifiers to build multi-class classifiers. The analysis was duly conducted on the benchmark NSL-KDD and KDD datasets. The proposed method is validated using cross-validation and compared with existing feature extraction methods. This method outperformed over the existing intrusion detection methods used for the dataset.
Determinants of Acute Undernutrition among Pregnant Women attending Primary Healthcare Unit in Chinaksen District, Eastern Ethiopia: a case-control study
Authors: Adem Hassen Abdi , Usso Ahmedin Aliyi , Jarso Habtemu , Workicho Abdulhalik , Ahmed Fila
Published: November 2022

Background

Poor nutritional status of women during prenatal and pregnancy increases the risk of maternal mortality and neonatal birth outcome complication. It is important to identifying factors affecting maternal undernutrition during pregnancy and evidence answering major determinant factors was limited in Ethiopia. This study was assessed to determinants of acute undernutrition among pregnant women attending primary health care unit in Chinaksen district, eastern Ethiopia.

Method

a facility-based case-control study was conducted on 226 (113 cases and 113 controls) pregnant women attended primary healthcare units in Chinaksen district from February 01 to March 30, 2017. Data entered using EpiData 3.1 and analyzed using SPSS version 24. Bivariable and multivariable logistic regression analyses applied to identify determinant factors acute undernutrition. A p value < 0.05 was considered to be declare statistically significant.

Result

women living in large family size (AOR = 6.98, 95 CI: 2.82, 17.27), low minimum dietary diversity for women (AOR = 2.48, 95% CI: 1.20, 5.12), house hold food insecure (AOR = 3.06, 95% CI: 1.44, 6.51), not advised prenatal dietary diversity (AOR = 3.68, 95% CI: 1.67, 8.00), not participated on cooking food demonstration (AOR = 5.41, 95% CI: 2.39, 12.24), using substance (AOR = 3.65, 95% CI: 1.30, 10.23) and have not basic latrine (AOR = 2.91, 95% CI: 1.28, 6.58) were found to be statistically significant factor with acute undernutrition among pregnant women.

Conclusions

The study revealed main determinants of acute undernutrition among pregnant women. Large family size, low minimum dietary diversity, house hold food insecurity, not advised prenatal dietary diversity, not participation on cooking food demonstration, substance use and have not basic latrine were a basic determinant of acute undernutrition among pregnant women. Multi-sector approach is required to deal with acute undernutrition among pregnant women and improving minimum dietary diversity food and ensuring household food security is essential in improving maternal nutrition.
High quantum yield carbon quantum dots synthesized via three different routes for anti-counterfeiting inkjet inks application
Authors: Miavagh Faraz Mirlou , Rezvani-Moghaddam Amir , Roghani-Mamaqani Hossein
Published: November 2022

Fluorescent inks based on carbon quantum dots (CQDs) can be used in different applications, such as militaries for anti-counterfeiting messages, banks, money, worthy documents, and cheques. On the other hand, CQDs can be used for biological and imaging purposes like flow cytometry, DNA mutation, drug delivery, drug releasing, and bioimaging. In this study, CQDs were synthesized utilizing a one-step procedure using citric acid, ethylene diamine, and aniline in different ratios using different synthesis methods like hydrothermal, microwave, and simple heating. UV-Visible, Photoluminescence, Energy Dispersive Spectroscopy, Field Emission Scanning Electron Microscopes, Transmission electron microscopy, and water contact angle were carried out to investigate the synthesized carbon quantum dots. The best CQDs were selected as a functional dye to fabricate fluorescent ink and were printed on paper. By analyzing the visual effects of printed papers under UV light and daylight, it was shown that all printings were successfully done, and all samples had noticeable fluorescence emission. Water contact angle measurements were done on both printed area and unprinted paper for further investigations. The results showed that the contact angle decreased after printing on the paper, which was related to the penetration of ink into the substrate’s pores.
Computational Study of Field-Dependent Pinning Force for Pure MgB2 Superconductor
Authors: Ansari Intikhab A. , Rao C V
Published: November 2022

The logarithmic exponential regression model is proposed for the pure MgB2 superconductor in this study. The predicted values of normalized pinning force as a function of the reduced field are evaluated and compared to the measured values at a wide range of temperatures. The proposed model well described the best-suited model for the estimated predicted values. The predicted values of the reduced field dependence of normalized pinning force are in good agreement with the measured values for the pure MgB2 superconductor. Some statistical error estimations namely mean bias error, mean absolute bias error and root mean square error is calculated at different temperatures from 10−30K. The large value of the coefficient of regression, R2 confirms the effectiveness and significance of the proposed model. The proposed model is applicable in this study to find the accurate and precise values of the computational data.
Giant cardiac myxoma misdiagnosed as schizophrenia: a case report
Authors: Wang Yalin , Xu Hongfei
Published: November 2022

Background
Myxoma is the most common cardiac tumor and usually presents in the left atrium. Patients typically present with tightness of the chest, fatigue and lassitude. There are also cases of misdiagnosis and missed diagnosis. Improvements tend to occur with early diagnosis, and with the help of high-resolution imaging technology, such as transthoracic echocardiography (TTE), transesophageal echocardiography (TEE) and computed tomography (CT).
Case presentation:
A 59-year-old Chinese woman complained of tightness in her chest, fatigue and lassitude for eight years. She had been misdiagnosed with schizophrenia by the local rural hospital. CT confirmed a giant mass in the left atrium, and TTE revealed left atrial enlargement with an occupying lesion. Tumor resection surgery was performed under cardiopulmonary bypass. The giant tumor was partially detached during the operation, and the thrombus was removed successfully. After the operation, the mental health department of our hospital believed that the diagnosis of schizophrenia was a misdiagnosis. The patient recovered uneventfully and appeared rejuvenated after the operation. A three-year follow-up showed no adverse events since the operation.
Conclusions
A rare case of cardiac myxoma misdiagnosed as schizophrenia is presented here. When patients complain of chest tightness, we cannot forget the importance of cardiac physical examination and echocardiography. Any diagnosis of schizophrenia requires exclusion of organic disease. Careful and complete resection of the cardiac myxoma is necessary, as it may cause thromboembolism.
Effect of prolonged (150 days) post-fermentative maceration in steel tanks and oak barrels on Cabernet Sauvignon wine quality: mathematical modelization of the phenolic compounds behaviour
Authors: Bambina Paola , Pollon Matteo , Squadrito Margherita , Barone Stefano , Cinquanta Luciano , Corona Onofrio
Published: November 2022

The aim of this study was to evaluate the effects of the prolonged post-fermentative maceration during the winemaking of Cabernet Sauvignon grapes in oak barrels and steel tanks and apply to this purpose a mathematical modelization to better and easily understand the dynamics and phenomena related to this process. The study focused on the time series of phenolic and volatile compounds in wines during the maceration with solid parts and residual components of the alcoholic fermentation, only for anthocyanins and non-anthocyanic flavonoids two mathematical models were proposed. The results showed that the presence of solid parts during the post-fermentative maceration phase provided a higher content of polyphenols and total flavonoids in both oak barrel and steel tanks. The largest contents of polyphenols and flavonoids were observed in oak barrels trials. Among the anthocyanins in both trials we have assisted to a decreasing trend in delphinidin-3 glucoside, cyanidin-3glucoside, petunidin-3-glucoside and peonidin-3-glucoside, with a more accentuated process for the first two molecules in barrique trial, also acetylated anthocyanins showed a decreasing trend more intense in barrique trial. Finally, the post fermentative maceration did not affect HCTA and flavonols concentrations in wines, but rather it affects their chemical stability through the time. Post-fermentative maceration improved the sensory characteristics in terms of intensity, complexity, and persistence at both olfactory and gustatory level, especially in oak barrel vinification.
The effect of concomitant use of proton pump inhibitors with CDK 4/6 inhibitors on survival in metastatic breast cancer
Authors: Çağlayan Dilek , Koçak Mehmet Zahid , Geredeli Çağlayan , Tatlı Ali Murat , Göksu Sema Sezgin , Eryılmaz Melek Karakurt , Araz Murat , Artaç Mehmet
Published: November 2022

Aim
To evaluate the difference of progression free survival between the patients using concomitant proton pump inhibitors and non-users in the patients using CDK 4/6 inhibitors with HR + and HER2 negative mBC.
Methods
We included 86 patients with HR + and HER 2 negative mBC treated with CDK 4/6 inhibitors in this study. Patients were divided into two categories according to their status of PPI use. The primary end points was progression free survival(PFS). We compared PPI users and non-users.
Results
Forty-five (52.3%) patients used a PPI concomitantly with a CDK 4/6 inhibitor, and 41 (47.7%) did not. The median duration of follow-up was 10.68 (1.94–27.56) months. Of the patients; 50 (58.1%) palbociclib and 36 (41.9%) received ribociclib. The median progression free survival (mPFS) was 10.9 months (95% CI: 7.5-14.27) in the group with concomitant PPI use with a CDK 4/6 inhibitor, whereas the median progression free survival could not be reached in the group without concomitant PPI use (p = 0.04). In addition, concomitant PPI use with palbociclib was associated with a shorter PFS, there was no significant difference between the concomitant PPI users and non-users in terms of PFS in the patients using ribociclib.
Conclusion
Palbociclib and ribociclib are weak base drugs so their bioavailability is pH-dependent. PPIs can affect their solubility and their concentration in the plasma. Therefore we must avoid concomitant use of PPIs and CDK 4/6 inhibitors. If we need to use concomitant PPI and CDK 4/6 inhibitors, we should prefer ribociclib than palbociclib.
Synthesis, characterization, and applicability of an acrylic acid-grafted sodium alginate- based Zinc oxide hydrogel nanocomposite for crystal violet dye removal
Authors: Aljeboree Aseel M. , Albdairi Hadeel K. , Alkaim Ayad F , Mahdi Ahmed B. , Salman Abbas Washeel , A Jawad Mohammed
Published: November 2022

In this current research work, hydrogel composite polymer of sodium alginate-g-(polyacrylicacid-co-Sodium4-vinylbenzenesulfonate)/zinic oxide hydrogel (SA-g-(PAAc-co-VBS)/ZnO has been synthesized to be an efficient adsorbent for cationic dye namely crystal violet (CV). The physicochemical properties of the synthesized compound were identified via several characterization techniques such as Fourier transform infrared (FTIR), Field emission scanning electron microscope (FE-SEM), Thermo gravimetric analysis (TGA), X-ray diffraction (XRD), and Transmission electron microscopes (TEM). The adsorption kinetics and equilibrium isotherm of (SA-g-(PAAC-co-VBS)/ZnO towards CV removal were best fitted the pseudo-first-order and Freundlich isotherm models respectively (Qe =956.56 mg/g ) at optimum condition temperatures 30 oC, Conc.= 200 mg. L-1, pH= 6.6, and weight of surface 0.04 g/100 ml. Recyclability and Desorption studies indicated the best recycling performance at 3 cycles of using (SA-g-(PAAC-co-VBS)/ZnO), with a significant efficiency >80%. Depend on the results, the synthesized SA-g-(PAAc-co-VBS)/ZnO can be applied as a promising, eco-friendly, cost-effective, and efficient adsorbent for cationic dye removal.
Construction of epithelial-mesenchymal transition related miRNAs signatures as prognostic biomarkers in gastric cancer patients
Authors: Xiao Jun , Zhang Fan , Liu Wenju , Zang Wei-Dong
Published: November 2022

Aim: To identify the potential post-healing EMT related miRNAs associated with lymph node metastatic gastric cancer (LNMGC).
Methods: Both RNA expression and clinical medical data were obtained from the TCGA dataset. We performed differential expression and normalization analysis of miRNAs. Cox linear regression model confirmed the differentially expressed miRNAs (DEmiRNAs) and clinical medical parameters related to overall survival (OS). The role of target genes of DEmiRNAs was determined according to the role enrichment analysis.
Results: We obtained a total of 7531 DEmRNAs and 267 DEmRNAs, of which 185 DEmRNAs were down-regulated and 82 DEmRNAs were up-regulated. We randomly divided the LMNGC cases (n=291) into a training group (n=207) and a test group (n=84). The results showed that a total of 103, 11, 13 and 83 overlapping genes were associated with hsa-mir-141-3p, hsa-mir-4664-3p, hsa-mir-125b-5p and hsa-mir-7-5p, respectively. Kaplan-Meier determined that these four miRNAs can effectively distinguish high-risk and low-risk groups, and have a good indicator role (all p<0.05).
Multivariate cox regression analysis also showed that EMT-related miRNA predictive model and lymph node metastasis were both prognostic risk factors (all p<0.05). The ROC curve showed that this feature had high accuracy (AUC>0.7, p<0.05). In addition, KEGG analysis showed that EMT-related pathways were mainly enriched in HIF-1 signaling pathway and focal adhesion.
Conclusions: Our study demonstrated that EMT-related miRNAs could serve as independent prognostic markers in pN1-3 GC patients.
Prognostic value of perioperative inflammatory immune and nutritional indicators in patients with atrial fibrillation after lung cancer surgery
Authors: Wang Rui , Shi Genya , Li Tingting , Xu Shuang , Zhang Qing , Jiang Tongtong , Xia Yunlong , Shi Tieying
Published: November 2022

Objective
To investigate the prognostic value of the Prognostic Nutritional Index, Neutrophil to Lymphocyte Ratio, and Platelet to Lymphocyte Ratio in patients with atrial fibrillation after lung cancer surgery, which can provide objective predictors for screening patients with poor prognosis.
Methods
From April 2020 to August 2022, 157 patients with atrial fibrillation after lung cancer resection were enrolled. The blood levels of PNI, NLR, and PLR were collected on the last day before surgery and the day of the surgery. Patients were grouped according to the median or the ROC curve's best cut-off point. The K-M survival curve was drawn to analyze the incidence of composite adverse prognostic events in different groups, and COX regression was used to analyze the influencing factors of composite adverse prognostic events.
Results
The K-M survival curves of the high NLR group on the last day before the surgery (P = 0.007), the high PLR group on the day of the surgery (P = 0.022), and the high PLR group on the last day before the surgery (P = 0.001) were significantly different. The high PLR group on the last day before the surgery (HR = 4.225, 95%CI 1.715–10.410) and history of malignant tumor (HR = 3.548, 95%CI 1.178–10.690) were independent risk factors for composite adverse prognostic events in patients with AF after lung cancer surgery.
Conclusions
Patients with a preoperative PLR > 173.55 on the last day before the surgery and a history of malignant tumor are the effective indicators for the occurrence of combined adverse prognostic events in patients with atrial fibrillation after lung cancer surgery.
A comprehensive assessment of temperature difference and natural convection on phase transition in different latent heat storage systems accompanied by porous media
Authors: Naghdi Mohammadreza Naghdi , Borji Mehdi , Gholami Raheb
Published: November 2022

With the constant increasing demand for energy and the challenges arising from the growing population, securing a reliable energy supply seems critical. Latent energy storage is introduced as one of the most efficient solutions to harness the renewable and waste energy and secure a constant supply. The phase change material (PCM) in this type of energy storage suffers from low responsiveness, slowing down the industrialization of latent storage. This study proposed different conventional PCM-based storage units to numerically analyze the most influential determinant in each system during the melting evolution. The working fluid temperature, natural convection and porous media at different porosities are the factors selected for comparison between four configurations. The temperature of working fluid is of similar significance to three types of units as an enhancement of 22% has been obtained by 5 degrees increase in inlet temperature, while the pipe model has benefited almost 26% improvement under the same condition. Triplex tube heat exchanger (TTHX) in all scenarios outperforms other units since the heat transfer area for this type is greater that that of its counterparts. Natural convection phenomenon is most effective in the pipe model as its absence decelerate the melting rate by 236%. Porous media integration produced, by average, 93% faster systems thanks to its extra heat transfer surface, although it suppressed the gravitational movement.
Wing-attached Hatchback Vehicle in Adverse Weather Conditions
Authors: Uddin Md Shehab , Sarker Md Rabiul Islam
Published: November 2022

In recent years, road accidents due to heavy rainfall have become an alarming issue that needs to be researched. In this regard, a comparative study is performed from the aerodynamic perspective to observe the flow phenomena alteration around a generic hatchback ground vehicle. The analysis deals with a 75% scaled wing-attached Ahmed body where NACA 0018 airfoil profile is chosen for the wing profile. All the possible combinations are compared initially by the RANS-based k-epsilon turbulence model at a Reynolds number 2.7×106. Later, the instantaneous flow phenomenon is analyzed with the LES formulations. The simulation results imply an 11–12% average increase in the drag coefficients for with and without wing conditions and a decrease in lift coefficients by 24% for the wing-attached state. Besides this, shifts in the critical drag and lift coefficients' slant position from 25° to 15° in the wing-attached normal state and 12.5° in the wing-attached rain state are noticed. The careful inspection of different vortex formations, merging, energy distribution associated with the eddies, and pressure coefficient variations reveal the tentative reasons for the aerodynamic penalties. Also, the instantaneous flow analysis discovers an additional recirculation region for the wing-attached condition. This study will assist in obtaining a distinct picture of the aerodynamic penalties faced by a hatchback ground vehicle under heavy rain conditions and finding the role of a rear wing in overcoming adverse weather conditions.
Analysis of subcellular localization and pathogenicity of Plum bark necrosis stem-pitting associated virus protein P6
Authors: Li Yuanyuan , Mou Jinze , Li Qingliang , Liu Huabing , Wang Deya , Yuan Xuefeng
Published: November 2022

Infection of plum bark necrosis stem pitting associated virus (PBNSPaV) has been reported in many prunus species in several countries, causing significant economic losses. The very small proteins encoded by plant viruses are often overlooked due to their short sequences and uncertain significance. However, numerous studies have indicated that they might play important roles in the pathogenesis of virus infection. The role of small hydrophobic protein P6, encoded by the open reading frame 2 of PBNSPaV, has not been well explored. In this study, we amplified the P6 fragment from a PBNSPaV isolate by RT-PCR using specific primers and found that it is 174 bp long and encodes a protein of approximately 6.3 kD with a transmembrane domain. Subcellular localization analysis of P6 proteins in tobacco leaves showed that P6 localizes in cytomembrane and nuclear membrane. To further clarify the pathogenicity of P6 proteins, a PVX-P6 expression vector was constructed by inserting the p6 fragment into a potato virus X (PVX)-based vector and transformed into Agrobacterium tumefaciens GV3101. Infiltration of N. benthamiana with the PVX vector-transformed A. tumefaciens led to slight mosaic symptoms at 14 days of post-inoculation. Meanwhile, infiltration with the PVX-P6 vector-transformed A. tumefaciens resulted in no significant symptoms. These results demonstrated that heterologous expression of P6 in N. benthamiana could not enhance the pathogenicity of PVX. Our study indicates that p6 may not be a potential pathogenic factor associate with the causing of symptoms, and mode of action of PBNSPaV-P6 protein remain to be further studied.
Overall evaluation of the replacement of fermented soybean to fish meal in juvenile white shrimp, Litopenaeus vannamei diet: growth, health status, and hepatopancreas histomorphology
Authors: El-Naby Asmaa S. Abd , Eid A. E , Gaafar Alkhateib Y. , Sharawy Zaki , Khattaby A. A , El-sharawy Mohamed S. , Asely Amel M. El , Asely Amel El
Published: November 2022

This study was conducted to determine the effect of replacing fishmeal (FM) with fermented soybean meal (FSBM) for 12 weeks on the growth performance, feed utilization, immunological parameters, antioxidant enzymes assays and lipid peroxidation, digestive enzymes, and histopathological analysis of juvenile Litopeneaus vannamei (L. vannamei). By substituting 0.0%, 20%, 30%, and 40% FSBM for fishmeal (w/w), four isonitrogenous diets were generated. A total of 300 juvenile L. vannamei(1.59 ±0.01 g) were randomly allocated to the experimental fiber tanks at a rate of fifteen shrimp per tank, with three replicates for each treatment. Growth performance and feed utilization decline considerably (P < 0.05) with increasing amounts of FM replacement with FSBM in diets. In comparison to the juveniles fed the other experimental diets, the diet containing a moderate level of FM replacement (20% FSBM) considerably enhanced growth performance and feed consumption during the feeding trial. The 20% FSBM-fed group had the highest protein content. In contrast, raising FSBM levels significantly increased lipid content (P < 0.05) compared to the control. However, there were no statistically significant differences (P> 0.05) across FSBM treatments. Hemolymph plasma total protein (TP) concentration and lysozyme activity were substantially greater (P < 0.05) in 20% FSBM compared to 40% FSBM (P < 0.05). In addition, 20% FSBM exhibits a substantial (P < 0.05) increase in the activity of antioxidant enzymes (CAT SOD, GPX, and GR). In contrast, the control and 30% FSBM groups had considerably more lipid peroxidation marker (MDA) than the 20% and 40% FSBM groups. Hepatopancreas amylase activity was considerably elevated (P < 0.05) in the control group and with 40% FSBM. In addition, Hepatopancreas and intestinal protease and lipase activity increased significantly by 20% FSBM. Considerably more B-cells were present in the 40% FSBM diet than in the control diet, however they were significantly less prevalent in the 20% and 30% FSBM of diets (P < 0.05).
Correlation study of changes in visual acuity, pupil diameter, Kappa angle, and Alpha angle after phacoemulsification surgery combined with multifocal IOL implantation
Authors: Zhenlin Lin , Pengfen Gao , Honghua Zheng
Published: November 2022

Purpose To study the changes and correlation of visual acuity, pupil size, kappa angle and Alpha angle after phacoemulsification combined with multifocal intraocular lens implantation by analyzing the data provided by OPD-ScanIII Optical Path Difference optical path difference analyzer. Methods From March 2020 to October 2021, 35 patients (60 eyes) with cataract who underwent phacoemulsification combined with multifocal intraocular lens implantation were analyzed retrospectively. The changes of pupil size, Alpha angle, Kappa angle and postoperative visual acuity were measured by OPD-ScanIII optical path difference analyzer before and 1 week after operation. The correlation between pupil size, Kappa angle, Alpha angle and distal and near visual acuity was analyzed 1 week and 1 month after operation. Sixteen eyes of cataract patients were followed up for more than one month to study the changes of pupil size, Alpha angle and Kappa angle one week and one month after operation. Results phacoemulsification combined with multifocal intraocular lens implantation significantly improved the visual acuity of the patients, and the pupil size and Kappa angle decreased 1 week after operation, but there was no significant difference between the indexes more than one month after operation and those before operation. There was no significant difference in Kappa angle and Alpha angle before and 1 week after operation, but there was significant correlation between distant visual acuity and Kappa angle in light and dark vision 1 week after operation. There was no correlation between distant visual acuity and Alpha angle and pupil size 1 week after operation. One week after operation, there was no correlation between near and middle visual acuity and Alpha angle, Kappa angle and pupil size 1 week after operation, and there was no significant difference between Alpha angle and Kappa angle and pupil size 1 week after operation. There was no significant difference between Alpha angle and Kappa angle 1 month after operation. Conclusion phacoemulsification combined with bifocal intraocular lens implantation can significantly improve the visual acuity of patients, reduce the size of light and dark pupil and Kappa angle under dark vision in a short time, and recover after long-term surgery. Therefore, phacoemulsification combined with bifocal intraocular lens surgery should not expand the optical related indexes of patients before operation, which may lead to postoperative adverse reactions and decrease satisfaction.
An Injectible Cpw Fed Flexible Radiator With Wireless Charging for Proactive Breast Tumour Detection
Authors: Chrysolite Samuelraj , Pushpa Anita Jones Mary
Published: November 2022

Detection of breast cancer at early stages is very important to eliminate the possibility of breast removal in women. The dielectric changes caused in the breast tissues due to the formation of cancerous cells can be monitored by a biocompatible implant. Therefore a novel flexible implantable antenna sensor with the dimension 5mm x 5mm x 0.25mm working at the ISM band (2.45 GHz) is proposed for proactive detection of cancer cells inside the human breast. It can be wirelessly powered up through Wireless Power Transfer (WPT) working at 1.2-1.4 GHz (mid-band). An ultra-miniature structure of the implantable antenna (12.5mm 3 ) is achieved by using closed loops and meandered strips making the implant an efficient radiator. A reflection coefficient of -17dB is achieved with a -10dB bandwidth of 330 MHz inside the abnormal breast tissue (ε r -52.7). Once the permittivity of the breast tissue increases and crosses 15, the radiator starts working and a maximum of -10dBi gain is achieved. The proposed antenna is fabricated and the simulated results are verified. It can be used for proactively detecting the cancer cells inside the human breast and treating it before it spreads to the nearby tissues. Patients with a genetic history of breast cancer can be administered the proposed implant for proactive monitoring of the development of cancerous cells.
Estimating the Effects of Lock-Down for the First and Second Waves of COVID-19 on Air Pollution indices in the Iranian Provinces with Google Earth Engine Technology
Authors: Fayaz Mohammad
Published: November 2022

Introduction: The COVID-19 restrictions provided a unique situation for environmental policymakers to examine their hypothesis and present alternative policies for controlling air pollution indices globally. The aim of this study is to estimate the COVID-19 lockdown effects on the air pollution with satellite dataset indices in all 31 provinces of Iran in the first wave from 2020-03-14 to 2020-04-20 vs from 2019-03-14 to 2019-04-20 and second wave from 2021-04-13 to 2021-04-25 vs from 2020-04-13 to 2020-04-25.
Methods: The Carbon Monoxide (CO), Water vapor (H2O), Nitrogen Dioxide (NO2), Ozone (O3), Sulfur Dioxide (SO2), Absorbing Aerosol Index (AER), and Atmospheric Formaldehyde (HCHO) as air pollution indices and Pressure, Total precipitation rate, Air temperature and Wind speed as weather indices are downloaded from Google Earth Engine (GEE). Three statistical analysis methods are used: 1) T-test and Wilcoxon rank-sum test for estimating the Unadjusted Effect, 2) Generalized Additive Mixed Model (GAMM) for adjusted Effects and 3) Functional clustering for clustering all provinces.
Result: The first wave of the COVID-19 lock-down improves the air quality against the same period in the previous year but the same conclusion is not inferred from data for the second wave. The reduction of CO (-0.00077), NO2 (-0.0000110) and AEI (-0.275) and increment of H2O (106.476), O3 (0.0042) and SO2 (0.000104) are statistically significant in the first wave. But the reduction of CO (-0.00082), H2O (-354.52), O3(-0.00258) and increment of NO2 (0.0000089) and HCHO (0.0000135) are statistically significant in the second wave with GAMM models. The functional clustering with functional principal component analysis (FPCA) shows three major clusters of provinces.
Conclusions: We conclude that although the air quality in the first wave is better than the second wave, the Containment and Health Index in the second wave is greater than the first wave.
A study on the accuracy of screw placement in the apical region of patients with Lenke1 adolescent idiopathic scoliosis under intraoperative navigation
Authors: 何 贤波 , Li Guojun , 孟 志斌 , 杨 雪健 , Huang Tao , Chen Huanxiong
Published: November 2022

Background
To compare the accuracy and deviation direction of pedicle screw placement in the apical region of patients with Lenke type 1 adolescent idiopathic scoliosis (AIS) under navigation using navigation calibration techniques, and to analyze the related factors affecting the deviation of screw placement under navigation and the clinical significance of navigation calibration techniques.
Methods
This was a retrospective analysis of 43 patients who were diagnosed with Lenke type 1 AIS in our hospital from October 2017 to October 2020 and underwent posterior scoliosis correction and internal fixation with navigation assistance. According to whether navigation calibration technology was used during the operation, 43 patients were divided into two groups: the navigation group (n = 21) and the navigation calibration group (n = 22). The basic information, Risser sign, preoperative and postoperative Cobb angle and postoperative correction rate of the two groups were recorded, and the accuracy of screw placement in the apical vertebral region was evaluated according to the Rao classification.
Results
A total of 414 screws were placed between the two groups, 202 in the navigation group and 212 in the navigation calibration group. The excellent and good rates of screw placement in the apical region, concave side and convex side were 85.76%, 78.49% and 92.73%, respectively, in the navigation calibration group, which were significantly higher than 76.47%, 66.19% and 85.77%, respectively, in the navigation group (P = 0.001, P = 0.007, P = 0.016). The rate of grade 2 screw placement in the navigation calibration group (9.0%) was significantly lower than that in the navigation group (15.3%) (P = 0.04). In addition, the rates of parietal vertebral region and concave and convex medial wall ruptures in the navigation calibration group were 2.4%, 3.8% and 0.9%, respectively, which were significantly lower than 11.9%, 16.0% and 7.8%, respectively, in the navigation group, and the difference between the two groups was statistically significant (P = 0.001, P = 0.004, P = 0.011). In addition, the wall-breaking rates of the apical vertebral region and its concave and convex medial walls in the navigation calibration group were 2.4%, 3.8%, and 0.9%, respectively, which were significantly lower than those in the navigation group (11.9%, 16.0%, and 7.8%, respectively). The difference between the two groups was statistically significant (P = 0.001, P = 0.004, P = 0.011). No spinal cord or neurovascular injury occurred in either of the two groups.
Conclusion
Compared with simple navigation, a simple calibration technique can effectively prevent navigation deviation, significantly improve the accuracy of screw placement in the apical vertebral region of AIS patients, reduce the perforation rate of the medial wall of the misplaced screw, and improve the safety of the operation.
Identification of novel SNPs in Pun1 locus for pungency in Capsicum species
Authors: Gulzar Ariza , Malik Ajaz , Malik Geetika , Hussain Khursheed , Nazir Nageena , Aabidi Ishfaq , Gani Umar , Hami Ammarah , Mahajan Reetika , Bangroo Shabir , Zargar Sajad
Published: November 2022

Background
Capsaicin and its analogues known as capsaicinoids are the principal sources of pungency in Capsicum spp, detectable by mammalian taste receptors. In this study, a characterization of chilli germplasm was done based on capsaicin concentration. The goal of this study was to figure out what causes Capsicum spp. to lose their pungency.
Methods and Results
The experimental material involved forty-nine genotypes of chilli collected from different states of India representing different agro-ecological regions and were evaluated for several quantitative and biochemical traits. Wide variation in capsaicin content was observed among the genotypes. Bhut Jolokia (Capsicum chinense) showed highest capsaicin content (10500.75 µg/g). In order to understand the variation in pungency content, molecular analysis of Pun1 gene was done for discovering SNP in the selected genotypes.The five genotypes namely Bhut Jolokia, Kashmiri-Long-1, Byadgi Dabbi, Byadgi Kaddi and Nishat-1with high, medium and no pungency content were selected for the molecular analysis of Pun1 gene. Single primer pair was employed for amplification of Pun1gene in Capsicum chinense and Capsicum annuum (with amplicon size of 650bp). However, in the non-pungent variety (Nishat-1), the 650bp DNA fragment was not amplified due to 2.5kb deletion spanning the putative promoter and first exon of AT3. DNA amplification was followed by sequencing. Sequence alignment between Pun1 gene sequences of genotypes Bhut Jolokia (Capsicum chinense) and Kashmiri-Long − 1 (Capsicum annuum) with high capsaicin content and medium capsaicin content, respectively, revealed variations at 13 places and alignment of amino acid sequences deduced from nucleotide sequences revealed 5variations in amino-acid sequences. Furthermore, protein structure prediction in C. chinense and C. annuum identified certain structural changes.
Conclusion
The observed variation in protein structure might be responsible for high capsaicin production in one genotype as compared to the other and hence the protein conformation determines its interaction with the substrate.
Active methodologies for interprofessional education of health care for older adults: perspectives of undergraduates
Authors: Curado Paula Fleury , Sousa Johnatan Martins , Santos Leidiene Ferreira , Pagotto Valéria , Fusco Suzimar de Fátima Benato , Nunes Daniella Pires
Published: November 2022

Training of health professionals to make them critical, reflective, and able to transform their realities is a current need, especially for issues related to health care for older adults. Considering the scenario above, this study aimed to describe the perception of academicians in the health area about the use of active methodologies in the education of health care for older adults. This is a qualitative study, conducted with nine undergraduates from the courses of nursing, medicine, and nutrition, of a public university, located in the area of the Legal Amazon, in Brazil, who participated in an optional course named “Attention to health care for older adults: an interprofessional approach.” For data collection, a focus group was created and the resulting data were transcribed and submitted to a content analysis, using the theme category. Based on the reports of students, their statements were categorized into three themes: In the scene, I, the student; Scenario to share, learn, teach, and resignify the other; Freedom to learn. This study showed the perceptions of these students about the use of innovative teaching methodologies, showing that they were protagonists of the teaching and learning process. Our investigation found the perception of students of active teaching strategies is positive, with critical-reflective characteristics, in addition to the development of teamwork competence.
Students’ acceptance of Google Classroom as an effective Pedagogical Tool for Physical Education
Authors: Lobo Joseph
Published: November 2022

Google Classroom is practical for teachers and students as it makes the teaching and learning process more manageable. It is one of the practical pedagogical tools used by various higher educational institutions, as supported by previous studies. In line with this, the study is focused on exploring the factors that affect students’ acceptance of Google Classroom as an effective tool in learning Physical Education, adapting the Technology Acceptance Model (TAM). After obtaining data from 1,916 students currently taking minor PE in an online setting at City College of Angeles and after performing Partial Least Square-Structural Equation Modeling (PLS-SEM), the results revealed that students perceived ease of use positively predict their perceived usefulness of the LMS. Moreover, perceived ease of use positively influences students’ behavioral intention to use. Also, the students’ perceived usefulness increases behavioral intention to use Google Classroom in learning PE. Lastly, behavioral intent to use leverages students’ actual use of the educational platform. The findings of this study help the academic council and higher administration to decide if the said LMS can continuously be used as the college is still in a full-online learning modality. Recommendations and future research directions are also presented.
Predictive Analytics With Data Visualization
Authors: Boopathy Selvaraj , Kumar Palanisamy Satheesh , karaaslan muharrem
Published: November 2022

There has been tremendous growth for the need of analytics and BI tools in every organization, in every sector such as finance, software, medicine and even astronomy in order to better overall performance. C-factor Computing has the same vision of empowering their existing products through data analysis and forecasting to better suit the need of customers and decision making of stakeholders. The project involves 5 key aspects in Analytics - Data Acquisition, Big data or data Storage, Data Transformation (Unstructured to Structured), Data Wrangling, Predictive Modeling / Visualization. Data Acquisition involves gathering existing transactional and search data of customers and travel aggregators who use the product. This data is used to create powerful dashboards capable of predictive analytics which help the company make informed choices. The key aspects mentioned can be achieved through various tools available but requires testing at every stage in order to realize the appropriate software for the data present in the company. Hence the project deals with studying and implementing selected tools in order to provide the right framework to achieve an interactive dashboard capable of predictive analytics which can also be integrated into the existing products of the company.
Linear Regression-ML Algorithm based 6G-Wireless Sensor Network Technology for Enhanced Smart Groundwater Monitoring System in Chittoor District, Andhra Pradesh-India
Authors: Murugesan Rajendiran , Swaminathan J.N. , Prasad Ramjee , Navaneethakrishnan R. , Chakravarthy N.S.Kalyan
Published: November 2022

The groundwater level monitoring plays a vital role in the present decade for its advantages water level management system. It helps to scrutinize groundwater resources and helps to prevent water drought, saltwater intrusion, and swamps. This paper presents a Linear Regression (LR) - Machine Learning (ML) algorithm based 6G-Wireless Sensor Network (WSN) for Smart Groundwater Monitoring System (SGMS) to measure and monitor the groundwater level. Further, the developed SGMS also uses the measured data to determine and estimate the groundwater quality and quantity to manage the groundwater wisely. The LR-ML algorithm with WSN predicts the water level for the irrigation, household usage, and industrial requirement and also alarms the user when borewells are dry, thereby prevents the coil burn in the water pump. The LR algorithm is chosen for the study as it has the potential to manage sensor nodes with WSN for SGMS. When the LR algorithm is empowered with WSN it has the potential ability to enhance the performance of the developed SGMS. The assessment has been conducted in the different regions of Chittoor district, Andhra Pradhesh, India using the developed SGMS. In the assessment, the parameters such as borewell water level, pH value, calcium content, temperature, fluoride level, and conductivity have been measured. The assessment explicates the water level and quality that is a substantial requirement for humans and other living organisms.
Design and Implementation of Microstrip patch Antenna Arrays for 2.4 GHz Applications
Authors: Zalki Gurudev , Bakhar Mohammed
Published: November 2022

The main objective of the paper is to design and implement the microstrip antenna arrays for 2.4 GHz applications. Initially we design and implement single element antenna and analyse outcomes of its features such as operating frequency, return loss, gain, VSWR and radiation patterns. Later the single element is converted to 2x1 patch antenna array. Finally to increase gain, bandwidth and to have better radiation patterns it is transformed to 4x1 patch antenna array. The detailed procedure of design and obtained results of single component, 2x1 microstrip patch antenna array and 4x1 microstrip patch antenna array are discussed. The FR4 substrate material was used in our design and to fabricate the prototype of the antenna. The obtained result of both simulated and measured indicates that they are comparable with one another.
Relato de experiência sobre o potencial bioherbicida da Cojoba arborea na germinação e vigor de Cassia fistula
Authors: FERNANDES Maria Clara , CARVALHO Marta Betânia Ferreira , SANTOLIN Guilherme Oliveira , FARIAS Kelrely Gambeti , COSTA Calebe Brito da , MENDONÇA Andreza
Published: November 2022

A curricularização da extensão possibilita a preparação dos acadêmicos para sua atuação no mercado de trabalho, a partir da realização das atividades de extensão nas disciplinas da matriz curricular do curso. O objetivo do estudo foi promover uma oficina como curricularização da extensão demonstrando como obter o extrato da C. arborea e usá-lo como bioherbicida, uma vez que metabólitos secundários encontrados na espécie podem ser utilizados como substitutos para os herbicidas sintéticos. A oficina contou com dois momentos sendo o primeiro teórico de maneira dialogada sobre o que são aleloquímicos e seu efeito nas plantas e qual dessas substâncias se encontra na espécie em estudo. O segundo momento foi prático, onde os alunos realizaram todas as etapas do experimento desde a produção do extrato até avaliação e interpretação dos dados. Verificou-se que o extrato da C. arborea reduziu a germinação da C. fistula, confirmando assim seu efeito bioherbicida.