bluuebunny/crossref_metadata_2025_split huggingface dataset:
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.
Research on reducing CWS value based on product lean design
Authors: Qu Songtao , Dai Qilong , Zhou Qing , Yang Zhifeng , Xu Xiangdong , Chen Yangyang 
Published: November 2022

The research on improving production efficiency and reducing labor cost by reducing production CWS is the focus of notebook computer manufacturing enterprises. This research breaks the traditional method of reducing CWS at the production end and chooses to find breakthroughs from the whole life cycle of products. Finally, innovatively based on product lean design, and from the product design side, explore the optimization opportunity to reduce the CWS value of product production, so as to achieve the purpose of reducing CWS. Firstly, laptop model S is selected as the research object, and its structure disassembly and analysis, assembly action research and station sequencing were carried out to preliminarily determine the product production process. According to the production bottleneck process time, the current CT of the production line was determined to be 13S, and the initial CWS value of the production line was calculated to be 0.2167. Then, based on the principles of lean product design, the CONN of FAN, Battery, Speaker and RCT are optimized to make their assembly easier. The SSD fixation method, I/O BKT and I/O modular design are optimized to eliminate the need for auxiliary BKT assembly. In addition, Center Hook and WLAN were integrated on MB, and their assembly was cancelled, so that the design of the optimized parts was more integrated and modular. Then, the optimized product was rearranged for production. The CWS value of the optimized product was 0.1589, which decreased by 27 % compared with that before optimization.
Evaluating filter functionality and user competence after a hollow fiber membrane filter intervention in Liberia
Authors: Alford Kristen R. , Rosendale Katherine D. , Koroma Abdul Hafiz , DeRuiter Stacy L. , Pruim Randall , VanHorn Jason E. , Bone Matthew , Deighton Jared , DenHaan Adam , Koeman Jamison , Kornoelje Sadie , Lika Blerta , Stratton Abigail , Walls Lydia , Wang Nathan 
Published: November 2022

Abstract
In Liberia, access to safe water is not universal, and waterborne diseases like diarrhea run rampant. As part of a larger border-to-border clean water project in Liberia, hollow membrane fiber filters were distributed to households in remote and/or small villages across Liberia. While filter efficacy has been demonstrated in the laboratory, studies of filter efficacy in real-world settings yield more mixed results. Intervention efficacy in Liberia was evaluated by assessing (1) user ability to correctly filter and backwash and (2) filter functioning at follow-up visits approximately 2 and 8 weeks post-intervention. Ultimately, the results supported the efficacy of this intervention. At arrival of both follow-ups, over 95% of filters were functioning properly and the majority of issues were resolved during visits. This supported the short-term durability of the filters and the importance of follow-up visits for repairs. Furthermore, the vast majority of households were able to correctly demonstrate filtering and backwashing: 88.47% at the first follow-up and 91.79% at the second. This slight increase may indicate the value of follow-up visits as educational tools. The widescale distribution of point-of-use filters as a mechanism for clean water should include on-going education and affordable filter repair and replacement opportunities.
Assessment of health risk induced by heavy metal contents in drinking water
Authors: Shehu Alma , Vasjari Majlinda , Duka Sonila , Vallja Loreta , Broli Nevila , Cenolli Sadik 
Published: November 2022

Abstract
Investigation of the quality of drinking water was carried out aiming to evaluate health risks and toxicity arising from the content of heavy metals. Samples were analysed for the content of Pb, Cd, Cr, Ni, Cu, Fe, Zn, Al, and Mn. Water quality and health risk assessment were evaluated by comparing the obtained data with current National, EU, and WHO regulations as well as by using the hazard quotient and cancer risk (HQ and CR). Results showed that Al (in one sample) and Ni (in five samples) exceeded the maximum allowed limits. Based on the metal pollution index, MPI, it was concluded that none of the samples exhibited ‘very good quality’ (MPI &gt; 0.3), whereas the overall quality of Glina bottled water was classified as toxic to humans and Trebeshina as moderately toxic. Selected samples exhibited no evident health risk to humans (HQ &lt; 1). Among the toxic metals analysed, Ni, Cd, and Cr exhibited higher values of cancer risk index (CR &gt; 10−4), whereas Pb exhibited the lowest value. Bottled water such as Qafeshtama, Lajthiza, Tepelena, Dukat, Spring, Living, and Aqua Pana as well as tap water collected in the area of Student's City in Tirana can be considered safe for human consumption.
Structural Analysis of EFB, A Fibrinogen Binding Protein of Staphylococcus aureus
Authors: Wade David , Palma Marco , Flock Jan-Ingmar , Berndt Kurt D. , Silberring Jerzy , Galaktionov Stan G. 
Published: November 2022

Abstract:
Staphylococcus aureus produces and secretes a small, basic protein, designated Efb, that binds to fibrinogen and seems to be required for virulence of the organism. A 3D model of Efb was developed, and it predicts that
the C-terminal half of the protein contains substantial a-helical content. CD analysis of Efb yielded a value of 40-
41% a-helix..Calcium and zinc both influence the interactions between Efb and fibrinogen, and an analysis of the amino acid sequence of Efb revealed the presence of consensus sequences for the binding of both metals.
Microscale isolation of blocked n-terminal peptides and sequence analysis by mass spectrometry
Authors: Hsi Kuo-Liang , Nuwaysir Lydia , Dupont Dave , Yuan Pau-Miau 
Published: November 2022

Abstract:
An improved procedure for selectively isolating a blocked N-terminal is described to work with low microgram amounts of protein. Additionally, the scope of this method is expanded to include selective isolation of free and blocked N-termini. Proteins modified with succinic anhydride are purified by SOS-PAGE, digested in situ with chymotrypsin and treated with cyanogen bromide-activated Sepharose 4B. The isolated N-terminal peptide from proteins are analyzed utilizing mass spectrometer. Both amino acid sequence information and the nature of the blocking group can be determined.
Sodium iodide as a novel, neutral and facile deprotecting reagent of n-tert-butyloxycarbonyl groups in peptide chemistry
Authors: Ham Jungyeob , Choi Kyungseok , Ko Jaeyoung , Lee Hanwon , Jung Mankil 
Published: November 2022

Abstract:
The N-tert-butyloxycarbonyl (N+Boc) protecting groups of amino acids were cleanly and easily removed by treatment with sodium iodide under neutral conditions.
310Helix formation in protected tripeptide
Authors: Jayakumar R. , Scibioh M. Aulice , Pattabhi Vasantha , Manoharan P.T. 
Published: November 2022

Abstract:
The conformational analysis of a synthetic peptide Boc-Lys(Z)-Gly-Val-NHMe has been carried out, as a model for nucleating segment in helix formation. 1H NMR studies (270 MHz) suggested that the Gly (2) NH, Val (3) NH and NHMe groups are solvent shielded. Conformational energy calculations and intramolecular hydrogen bonding constrains favour 310 helix structure for the peptide. Theoretical and spectroscopic results are consistent with the presence of a transannular 4 1 hydrogen bond between Lys (1) CO and NHMe with Gly
(2) NH and Val (3) being sterically shielded from the solvent environment.
LncRNAs and MiRNAs: New Targets for Resveratrol in Ovarian
Cancer Research
Authors: Chaichian Shahla , Bidgoli Sepideh Arbabi , Nikfar Banafsheh , Moazzami Bahram 
Published: November 2022

Abstract:
Ovarian cancer (OC) is the 3rd common gynecologic cancer. Numerous procedures
are involved in the growth of OC, like migration, angiogenesis, proliferation, apoptosis,
invasion, and metastasis. Therefore, a better knowledge of the molecular processes
complicated in ovarian tumorigenesis can lead to better measures for the prevention and
treatment of the disease and its diagnosis. Long non-coding RNAs (LncRNAs), a subclass
of non-coding RNAs, are much more diverse than previously thought. It is suggested
that these RNAs may play a role in controlling complex cellular signaling mechanisms
via binding to proteins and influencing their function. Nevertheless, our acquaintance
with the participation of LncRNAs in the pathogenesis of OC is still restricted. Especially,
we do not yet recognize how to pharmacologically correct the epi-mutations.
Resveratrol, a natural polyphenol mostly derived from grapes, has been evaluated in
many studies to find its cancer therapeutic potential. In the current paper, we aimed to review
the role of resveratrol as a potential natural product on lncRNAs as novel diagnostic
and therapeutic targets in OC and represent new insights for further investigations.