bluuebunny/crossref_metadata_2025 huggingface dataset:
Effective Treatment Strategies for the Removal of Antibiotic-Resistant Bacteria, Antibiotic-Resistance Genes, and Antibiotic Residues in the Effluent From Wastewater Treatment Plants Receiving Municipal, Hospital, and Domestic Wastewater: Protocol for a Systematic Review
Authors: Alam Mahbub-Ul , Ferdous Sharika , Ercumen Ayse , Lin Audrie , Kamal Abul , Luies Sharmin Khan , Sharior Fazle , Khan Rizwana , Rahman Md Ziaur , Parvez Sarker Masud , Amin Nuhu , Tadesse Birkneh Tilahun , Moushomi Niharu Akter , Hasan Rezaul , Taneja Neelam , Islam Mohammad Aminul , Rahman Mahbubur
Published: November 2021

Background

The widespread and unrestricted use of antibiotics has led to the emergence and spread of antibiotic-resistant bacteria (ARB), antibiotic-resistance genes (ARGs), and antibiotic residues in the environment. Conventional wastewater treatment plants (WWTPs) are not designed for effective and adequate removal of ARB, ARGs, and antibiotic residues, and therefore, they play an important role in the dissemination of antimicrobial resistance (AMR) in the natural environment.

Objective

We will conduct a systematic review to determine the most effective treatment strategies for the removal of ARB, ARGs, and antibiotic residues from the treated effluent disposed into the environment from WWTPs that receive municipal, hospital, and domestic discharge.

Methods

We will search the MEDLINE, EMBASE, Web of Science, World Health Organization Global Index Medicus, and ProQuest Environmental Science Collection databases for full-text peer-reviewed journal articles published between January 2001 and December 2020. We will select only articles published in the English language. We will include studies that measured (1) the presence, concentration, and removal rate of ARB/ARGs going from WWTP influent to effluent, (2) the presence, concentration, and types of antibiotics in the effluent, and (3) the possible selection of ARB in the effluent after undergoing treatment processes in WWTPs. At least two independent reviewers will extract data and perform risk of bias assessment. An acceptable or narrative synthesis method will be followed to synthesize the data and present descriptive characteristics of the included studies in a tabular form. The study has been approved by the Ethics Review Board at the International Centre for Diarrhoeal Disease Research, Bangladesh (protocol number: PR-20113).

Results

This protocol outlines our proposed methodology for conducting a systematic review. Our results will provide an update to the existing literature by searching additional databases.

Conclusions

Findings from our systematic review will inform the planning of proper treatment methods that can effectively reduce the levels of ARB, ARGs, and residual antibiotics in effluent, thus lowering the risk of the environmental spread of AMR and its further transmission to humans and animals.

International Registered Report Identifier (IRRID)

PRR1-10.2196/33365
Interest of virtual reality hypnosis in the EP lab in clinical practice : an observational study (Preprint)
Authors: Granier Mathieu , Coulibaly Iklo , Vacter thomas , Duflos Claire , Moulis Lionel , Mandoorah Bara , Nicoleau Jean , Massin Francois , Pasquie Jean Luc
Published: November 2021

UNSTRUCTURED

Aims: Virtual reality Hypnosis (VRH) has been used successfully in different clinical settings to treat anxiety and the sensation of pain. We aimed to investigate the feasibility and safety of VRH in patients undergoing electrophysiology and stimulation procedures under conscious sedation.
Methods: During a two-month period, VRH support was proposed to patients undergoing interventions. Data were compared with a control group (n=61) enrolled during the following three-month period. In the intervention group (n=25), the dedicated VR hypnosis programme was projected during the procedure. In both groups, pain and comfort were measured at the end of the procedure and at discharge, using visual analogue scales (VASs; 0-10).
Results: Baseline characteristics were comparable in both groups. There was no difference in procedure duration (46 (±29) vs 56 (±32) min, p=0,18) nor in hypnotic / antalgic consumption (1.95 (±1.44) vs 2.00 (±1.22) mg, p=0,83 and 3.78 (±2.87) vs 3.58 (±2.48) μg, p=0,9) for the control and VR groups respectively. In a multivariate analysis, the use of VR was independently associated with lower comfort during the procedure, assessed by post-operative VAS (OR 15.00 (IC95%4.77;47.16), p<0.01). There was no influence of VR use on pain or drug consumption.
Conclusions: In our experience, VR hypnosis in the EP lab doesn’t improve comfort during the procedure, compared to conventional human care. It has no influence on pain or drug consumption.
Immunoinformatics approaches to design: A novel multi-epitope vaccine candidate against SARS-CoV-2 and it’s in silico expression (Preprint)
Authors: Deval Ravi , Saxena Ayushi , Mueed Zeba , Pradhan Dibyabhaba , Rai Pankaj Kumar
Published: November 2021

BACKGROUND

SARS-CoV-2, belonging to the Coronaviridae family, is a novel RNA virus, known for causing fatal disease in humans called COVID-19. Researchers all around the world are keen on developing a precise treatment or vaccine against this deadly disease.

OBJECTIVE

The main objective of this paper is to design a novel multi-epitope vaccine candidate against SARS-CoV-2 using immunoinformatics tools.

METHODS

A consensus sequence was generated from various genomes of SARS-Cov-2 available from various countries of the outbreak at the ViPR database using JalView software. T cell and B cell epitopes were predicted by restricting them to certain HLA alleles using various servers (nHLApred, NetMHCIIpan v.3.1, ABCpred) and were validated using IEDB tools. Using these epitopes and adjuvant, a multi-epitope vaccine was constructed in-silicoand was later subjected to allergenicity, antigenicity and physicochemical properties profiling along with identification of conformational B-cell epitopes. The designed vaccine was evaluated via codon optimization by the Jcat server and finally, it’s in-silicoexpression was done in pET-28a(+) vector using snap-gene software.

RESULTS

A total of 18 epitopes (both T and B cell) were predicted that constituted vaccine construct along with adjuvant and end tag. Vaccine construct was validated and its best structure model was successfully docked with human Toll-like receptors. In-silico expression of the designed vector was also seen in pET-28a(+) plasmid.

CONCLUSIONS

The designed novel vaccine candidate has been validated in-silico to elicit robust immune responses hence; it can be used as a potential model for further development of multi-epitope vaccines in the laboratory.
Peer Review of “Comparison Between Male and Female Survivors of Sexual Abuse and Assault in Relation to Age at Admission to Therapy, Age of Onset, and Age at Last Sexual Assault: Retrospective Observational Study” (Preprint)
Authors: Laiou Petroula
Published: November 2021

UNSTRUCTURED

This is a peer review report.
Digital Health Interventions for Delivery of Mental Health Care: Systematic and Comprehensive Meta-Review (Preprint)
Authors: Philippe Tristan J , Sikder Naureen , Jackson Anna , Koblanski Maya E , Liow Eric , Pilarinos Andreas , Vasarhelyi Krisztina
Published: November 2021

BACKGROUND

The COVID-19 pandemic has shifted mental health care delivery to digital platforms, videoconferencing, and other mobile communications. However, existing reviews of digital health interventions are narrow in scope and focus on a limited number of mental health conditions.

OBJECTIVE

To address this gap, we conducted a comprehensive systematic meta-review of the literature to assess the state of digital health interventions for the treatment of mental health conditions.

METHODS

We searched MEDLINE for secondary literature published between 2010 and 2021 on the use, efficacy, and appropriateness of digital health interventions for the delivery of mental health care.

RESULTS

Of the 3022 records identified, 466 proceeded to full-text review and 304 met the criteria for inclusion in this study. A majority (52%) of research involved the treatment of substance use disorders, 29% focused on mood, anxiety, and traumatic stress disorders, and >5% for each remaining mental health conditions. Synchronous and asynchronous communication, computerized therapy, and cognitive training appear to be effective but require further examination in understudied mental health conditions. Similarly, virtual reality, mobile apps, social media platforms, and web-based forums are novel technologies that have the potential to improve mental health but require higher quality evidence.

CONCLUSIONS

Digital health interventions offer promise in the treatment of mental health conditions. In the context of the COVID-19 pandemic, digital health interventions provide a safer alternative to face-to-face treatment. However, further research on the applications of digital interventions in understudied mental health conditions is needed. Additionally, evidence is needed on the effectiveness and appropriateness of digital health tools for patients who are marginalized and may lack access to digital health interventions.
Pandemic-Related Impairment in the Monitoring of Patients With Hypertension and Diabetes and the Development of a Digital Solution for the Community Health Worker: Quasiexperimental and Implementation Study (Preprint)
Authors: Cimini Christiane Correa Rodrigues , Maia Junia Xavier , Pires Magda Carvalho , Ribeiro Leonardo Bonisson , Pinto Vânia Soares de Oliveira e Almeida , Batchelor James , Ribeiro Antonio Luiz Pinho , Marcolino Milena Soriano
Published: November 2021

BACKGROUND

The restrictions imposed by the COVID-19 pandemic reduced health service access by patients with chronic diseases. The discontinuity of care is a cause of great concern, mainly in vulnerable regions.

OBJECTIVE

This study aimed to assess the impact of the COVID-19 pandemic on people with hypertension and diabetes mellitus (DM) regarding the frequency of consultations and whether their disease was kept under control. The study also aimed to develop and implement a digital solution to improve monitoring at home.

METHODS

This is a multimethodological study. A quasiexperimental evaluation assessed the impact of the pandemic on the frequency of consultations and control of patients with hypertension and DM in 34 primary health care centers in 10 municipalities. Then, an implementation study developed an app with a decision support system (DSS) for community health workers (CHWs) to identify and address at-risk patients with uncontrolled hypertension or DM. An expert panel assessment evaluated feasibility, usability, and utility of the software.

RESULTS

Of 5070 patients, 4810 (94.87%) had hypertension, 1371 (27.04%) had DM, and 1111 (21.91%) had both diseases. There was a significant reduction in the weekly number of consultations (107, IQR 60.0-153.0 before vs 20.0, IQR 7.0-29.0 after social restriction; P<.001). Only 15.23% (772/5070) of all patients returned for a consultation during the pandemic. Individuals with hypertension had lower systolic (120.0, IQR 120.0-140.0 mm Hg) and diastolic (80.0, IQR 80.0-80.0 mm Hg) blood pressure than those who did not return (130.0, IQR 120.0-140.0 mm Hg and 80.0, IQR 80.0-90.0 mm Hg, respectively; P<.001). Also, those who returned had a higher proportion of controlled hypertension (64.3% vs 52.8%). For DM, there were no differences in glycohemoglobin levels. Concerning the DSS, the experts agreed that the CHWs can easily incorporate it into their routines and the app can identify patients at risk and improve treatment.

CONCLUSIONS

The COVID-19 pandemic caused a significant drop in the number of consultations for patients with hypertension and DM in primary care. A DSS for CHW has proved to be feasible, useful, and easily incorporated into their routines.
Artificial Intelligence Education for the Health Workforce: Expert Survey of Approaches and Needs (Preprint)
Authors: Gray Kathleen , Slavotinek John , Dimaguila Gerardo Luis , Choo Dawn
Published: November 2021

BACKGROUND

The preparation of the current and future health workforce for the possibility of using artificial intelligence (AI) in health care is a growing concern as AI applications emerge in various care settings and specializations. At present, there is no obvious consensus among educators about what needs to be learned or how this learning may be supported or assessed.

OBJECTIVE

Our study aims to explore health care education experts’ ideas and plans for preparing the health workforce to work with AI and identify critical gaps in curriculum and educational resources across a national health care system.

METHODS

A survey canvassed expert views on AI education for the health workforce in terms of educational strategies, subject matter priorities, meaningful learning activities, desired attitudes, and skills. A total of 39 senior people from different health workforce subgroups across Australia provided ratings and free-text responses in late 2020.

RESULTS

The responses highlighted the importance of education on ethical implications, suitability of large data sets for use in AI clinical applications, principles of machine learning, and specific diagnosis and treatment applications of AI as well as alterations to cognitive load during clinical work and the interaction between humans and machines in clinical settings. Respondents also outlined barriers to implementation, such as lack of governance structures and processes, resource constraints, and cultural adjustment.

CONCLUSIONS

Further work around the world of the kind reported in this survey can assist educators and education authorities who are responsible for preparing the health workforce to minimize the risks and realize the benefits of implementing AI in health care.
Measuring the Impacts of Using the Process Approach to Teach Second-Year English Major Students Essay Writing
Authors: Tankari Moussa , Allagbé Ayodele Adebayo , Maiguéro Abdou
Published: November 2021

This paper aimed at measuring the impacts of using the process approach to teach second-year English major students at the English Department of Université de Zinder (henceforth, UZ) essay writing. Drawing on the pre-test-post-test repeated measures design, this study examined the written essays produced by the EFL students before and after the writing class. These pre and post tests were scored based on a criterial fair copy, and the scores were compared by means of an Analysis of Variance (ANOVA) to check whether there were any statistically significant differences between the mean scores. The findings revealed that the process approach had a positive impact on the participants’ essay writing skills. Also, employing Classroom Observation, the article attempted to qualitatively measure student engagement in the writing class. The findings further exuded that the EFL students observed were cognitively involved in the learning activities conducted in the class. Based on the foregoing findings, this study recommends that the process approach to (the teaching of) writing be adopted and used to teach writing in EFL classes across/in Niger.
CHARACTERIZATION OF MODERN CCD AND CMOS SENSORS FOR SKY SURVEYS
Authors: Karpov S. , Christov A. , Bajat A. , Cunniffe R. , Prouza M.
Published: November 2021

Here we review the efforts we take in a newly established laboratory inside Institute of Physics in Prague in order to characterize modern large-format CCD and CMOS sensors for sky survey applications. While the laboratory is primarily established in order to participate in low-level CCD sensor characterization for LSST project, we also managed to perform a thorough laboratory testing of recently released Andor Marana sCMOS (which is especially interesting for wide-field sky monitoring applications due to its large format, backilluminated design, high achievable frame rate and low read-out noise), as well as detailed measurements of response non-linearity of Moravian Instruments G4-16000 CCD cameras (based on large-format Kodak KAF-16803 chip) used in several robotic telescopes. We brieﬂy review the results acquired on these cameras, as well as hardware and software we developed for the laboratory.
GRANDMA: A NETWORK TO COORDINATE THEM ALL
Authors: Agayeva S. , Alishov S. , Antier S. , Ayvazian V. R. , Bai J. M. , Baransky A. , Barynova K. , Basa S. , Beradze S. , Bertin E. , Berthier J. , Blažek M. , Boër M. , Burkhonov O. , Burrell A. , Cailleau A. , Chabert B. , Chen J. C. , Christensen N. , Coleiro A. , Corre D. , Coughlin M. W. , Coward D. , Crisp H. , Delattre C. , Dietrich T. , Ducoin J. G. , Duverne P. A. , Eymar L. , Fock-Hang P. , Gendre B. , Hello P. , Howell E. J. , Inasaridze R. Ya. , Ismailov N. , Kann D. A. , Kapanadze G. V. , Karpov S. , Klotz A. , Kochiashvili N. , Lachaud C. , Leroy N. , Le Van Su A. , Li W. X. , Lin W. L. , Lognone P. , Marchal-Duval G. , Marron R. , Mašek M. , Mo J. , Moore J. , Morris D. , Natsvlishvili R. , Noysena K. , Orange N. B. , Perrigault S. , Peyrot A. , Prouza M. , Sadibekova T. , Samadov D. , Simon A. , Stachie C. , Teng J. P. , Thierry P. , Thöne C. C. , Tillayev Y. , Turpin D. , de Ugarte Postigo A. , Vachier F. , Vardosanidze M. , Vasylenko V. , Vidadi Z. , Wang C. J. , Wang X. F. , Yan S. Y. , Zhang J. C. , Zhang J. J. , Zhang X. H.
Published: November 2021

GRANDMA is an international project that coordinates telescope observations of transient sources with large localization uncertainties. Such sources include gravitational wave events, gamma-ray bursts and neutrino events. GRANDMA currently coordinates 25 telescopes (70 scientists), with the aim of optimizing the imaging strategy to maximize the probability of identifying an optical counterpart of a transient source. This paper describes the motivation for the project, organizational structure, methodology and initial results.
TWIST1 controls cellular senescence and energy metabolism in mesenchymal stem cells
Authors:   Department of Orthopaedics and Sports Medicine, Erasmus MC, 3015 CN Rotterdam, the Netherlands, Voskamp C , Anderson LA , Koevoet WJLM , Barnhoorn S , Mastroberardino PG , van Osch GJVM , Narcisi R
Published: November 2021

Mesenchymal stem cells (MSCs) are promising cells for regenerative medicine therapies because they can differentiate towards multiple cell lineages. However, the occurrence of cellular senescence and the acquiring of the senescence-associated secretory phenotype (SASP) limit their clinical use. Since the transcription factor TWIST1 influences expansion of MSCs, its role in regulating cellular senescence was investigated. The present study demonstrated that silencing of TWIST1 in MSCs increased the occurrence of senescence, characterised by a SASP profile different from irradiation-induced senescent MSCs. Knowing that senescence alters cellular metabolism, cellular bioenergetics was monitored by using the Seahorse XF apparatus. Both TWIST1-silencing-induced and irradiation-induced senescent MSCs had a higher oxygen consumption rate compared to control MSCs, while TWIST1-silencing-induced senescent MSCs had a low extracellular acidification rate compared to irradiation-induced senescent MSCs. Overall, data indicated how TWIST1 regulation influenced senescence in MSCs and that TWIST1 silencing-induced senescence was characterised by a specific SASP profile and metabolic state.
Importance of Antimicrobial Stewardship in the Treatment of Urinary Tract Infection
Authors: Bakshi Rupinder , Kaur Sarjiwan , Gill Vikram Jeet Singh
Published: November 2021

Urinary tract infection (UTI) is a microbial contamination of the bladder and related organs. Study subjects were those who had no structural anomaly and no co-occurring diseases, such as diabetes, or were either immunocompromised or pregnant. Simple UTI is also defined as cystitis or inferior UTI. This study was a prospective, single center study conducted at a tertiary level clinic and its associated bacteriology laboratory. Patients whose urine tests were collected by the microbiology test center over a 6-month period were enrolled in the study. Culture and vulnerability results were obtained directly from the microbiology test center. Of the 1306 samples obtained, 888 (68%) were from females and 418 (32%) from males. This study identified the predominant UTI-causing microbes and the associated antimicrobial vulnerabilities. In males, Escherichia coli (36.8%) was the predominant microbe followed by Klebsiella pneumoniae 19.8%, Proteus spp. 17.4%, Staphylococcus aureus 10.0%, Pseudomonas aeruginosa 5.5%, Citrobacter spp. 5.0%, Staphylococcus saprophyticus 0.7%, Enterococcus faecalis 1.4%, and Acinetobacter spp. 0.7%. In females, E. coli (49.4%) was predominant, whereas Acinetobacter spp. (0.3%) was the least dominant. The considerable susceptibility of E. coli to meropenem (73.6%) and imipenem (73.5%) was similar to that reported in different investigations across India. In this study, the susceptibility of E. coli to piperacillin + tazobactam and ciprofloxacin was 42.7% and 14.3%, respectively. Stewardship of urinalysis and urine culture, especially among clinicians might be a successful upstream strategy for reducing inappropriate antimicrobial use for UTI. Thus, it is critical to routinely screen for resistance or susceptibility in samples of uropathogens, so the protocols for proper antibiotic treatment can be enhanced to incorporate antimicrobials with less resistance, supporting physicians in the appropriate treatment of UTIs resulting in insignificant remedial disappointments.
Antibacterial Activity and Phytochemical Screening of Garcinia pedunculata Roxb. ex Buch. - Ham. fruit extract by HPLC–ESI-MS
Authors: Zoliansanga  , Lalfakzuala R.
Published: November 2021

Disc and well diffusion methods were used to test the antibacterial activity of methanol extract and ethanol extract of the selected ethnomedicinal plant viz. Garcinia pedunculata Roxb. ex Buch.-Ham. Both the methanol extract and ethanol extract were subjected to antibacterial activity assay against the six clinical isolates. Antibiotic sensitivity test of the test bacteria against standard antibiotics were also determined. All the bacterial pathogens (Staphylococcus aureus, Enterococcus faecalis, Enterobacter cloacae, Escherichia coli, Pseudomonas aeruginosa and Klebsiella pneumoniae) were exposed to the plant extract in triplicates. The investigation revealed the potency of G. pedunculata extract as an effective antibacterial agent against both Gram-positive bacteria (GPB) and Gram-negative bacteria (GNB). G. pedunculata are evaluated to be bactericidal against the tested bacteria. The antibacterial activity may be due to an individual compound or synergistic effect of more than one compound present in the medicinal plant extract. The minimum inhibitory concentrations (MIC) and minimum bactericidal concentrations (MBC) of the plant extracts were also investigated by using the broth microdilution method. HPLC-MS of the methanol extract of G. pedunculata fruit revealed the presence of Hydroxy Citric Acid Lactone (MW-190), Garcinone-E (MW-464), a-Mangostin (MW-410), β–Mangostin (MW-424), and γ-Mangostin (MW-396).
Structural Diversity and Role of Phytochemicals against P38-α Mitogen-activated Protein Kinase and Epidermal Growth Factor Receptor Kinase Domain: A Privileged Computational Approach
Authors: Shankar Amar , Gopinath S.M. , Kollur Shiva Prasad , Sushma P. , Jain Anisha S. , Patil Sharanagouda S. , Srinivasa Chandrashekar , Shivalingaiah  , Shivamallu Chandan
Published: November 2021

Computational databases and tools in recent times have been proved to provide an essential aid for anticancer studies in the field of oncology. Molecular docking studies facilitate the structural diversity of plant-derived phytomolecules having anticancer properties against receptor proteins involved in cancer signaling pathways. The current study involves the investigation of phytocompounds-agasthisflavone, anacardic acid, zoapatanolide A, a purified product of the plant extract Amarogopinois546 were subjected to docking studies on p38-α MAPK and EGFR Kinase domain. The effectiveness of this study was evaluated by comparing the docking interactions of a standard drug, doxorubicin against the receptor molecules. The docking study is analyzed by compound estimated with lowest binding energy is considered to have the highest affinity towards the active site of the receptor proteins. The isolated plant compound Amarogopinois546 displayed the least binding score with a large number of hydrogen bonds and hydrophobic interactions towards the P38α MAP kinase receptor in comparison with the EGFR kinase domain. This preliminary result can strongly be supported for carrying out experimental evaluation in near future.
Synergistic Effect of Methyl Cellulose and Carvacrol Coating on Physicochemical and Microbial Attributes of Mango (Mangifera indica) Fruit in Postharvest Storage
Authors: Minh Nguyen Phuoc
Published: November 2021

Decay on mango (Mangifera indica) fruit mostly derived from a fungal disease which was caused by anthracnose invasion and infestation. The falling quality of mango fruit during postharvest preservation was commonly associated with weight loss, softening, vitamin C degradation and decay. This research evaluated the synergistic effect of methyl cellulose (MC) and carvacrol (Car) in the preparation of the edible coating on the physicochemical and microbial characteristics of mango fruit during 28 days of storage at 18°C. Five groups of coating treatments were prepared as follows: A (4% MC), B (4% MC + 0.5% Car), C (4% MC + 0.75% Car), D (4% MC + 1.0% Car), E (4% MC + 1.25% Car). These coating solutions were set 40°C for mango dipping. Mango fruits were individually dipped in the respected MC-Car solutions for 15 s and left out to air-condition for 30 min to create the coating film. These mango fruits were then kept at 18°C for 28 days. In 7 day-interval, experimental fruits were sampled to estimate weight loss, firmness, ascorbic acid content, decay index. Mango fruit pre-coated by 4% MC + 1.0% Car showed the least weight loss (1.61±0.03 %) and decay index (2.19±0.03 mark) while the highest retention of firmness (47.13±0.23 N) and ascorbic acid (25.60±0.13 mg/100 g) at the end of 28 days of storage. Results showed that incorporation of 1.0% carvacrol into 4% methyl cellulose-based edible coating would extend the shelf-life of mango fruit for 28 days of preservation. The edible coating would be a promising and green alternative with minimal environmental pollution.
Study on the Development of Seismic Fragility of Steel SMRF
Authors: Kulkarni Swapnali Sachin
Published: November 2021

Abstract: Vulnerability assessment of the structure is the most important and wide area of research which requires more input from the engineers and seismologist. The seismic vulnerability assessment of the structure can be evaluated by developing Fragility curves. Fragility curves shows the conditional probability of the structure exceeding the particular performance limit of the given damage state during strong ground motions. Fragility curves can be developed for different parameters like spectral displacement (Sd), spectral acceleration (Sa) Peak ground acceleration (PGA) , Inter storey drift ratio (IDR) etc. This paper describes about the different methods used in deriving the Fragility curves like conventional methods, Nonlinear Dynamic analysis methods and Nonlinear Static analysis methods. Also the fragility analysis of 5 Storied Steel Moment Resisting Frame (SMRF) has been carried out based on the parameters suggested by HAZUS M.H 2.1. Nonlinear static pushover analysis of the frame has been carried out in ETABS2016. Fragility curves are developed based on the pushover analysis results. The damage states defined as per HAZUS are Slight damage (SD), Moderate damage (MD) Extensive damage (ED) and Complete damage (CD). After carrying out the fragility analysis for the steel SMRF, it has been found out that, as the spectral displacement increases probability of failure for the slight damage of the structure is very high and the probability of failure for the complete damage is very low. Hence the probability of failure of the structure reduces from slight damage to complete damage. Keywords: Fragility curves, vulnerability assessment, Nonlinear static pushover analysis, HAZUS M.H 2.1.
Emotion Detection using Social Media Data
Authors: Mehta Ansh
Published: November 2021

Abstract: Previous research on emotion recognition of Twitter users centered on the use of lexicons and basic classifiers on pack of words models, despite the recent accomplishments of deep learning in many disciplines of natural language processing. The study's main question is if deep learning can help them improve their performance. Because of the scant contextual information that most posts offer, emotion analysis is still difficult. The suggested method can capture more emotion sematic than existing models by projecting emoticons and words into emoticon space, which improves the performance of emotion analysis. In a microblog setting, this aids in the detection of subjectivity, polarity, and emotion. It accomplishes this by utilizing hash tags to create three large emotion-labeled data sets that can be compared to various emotional orders. Then compare the results of a few words and character-based repetitive and convolutional neural networks to the results of a pack of words and latent semantic indexing models. Furthermore, the specifics examine the transferability of the most recent hidden state representations across distinct emotional classes and whether it is possible to construct a unified model for predicting each of them using a common representation. It's been shown that repetitive neural systems, especially character-based ones, outperform pack-of-words and latent semantic indexing models. The semantics of the token must be considered while classifying the tweet emotion. The semantics of the tokens recorded in the hash map may be simply searched. Despite these models' low exchange capacities, the recently presented training heuristic produces a unity model with execution comparable to the three solo models. Keywords: Hashtags, Sentiment Analysis, Facial Recognition, Emotions.
An Efficient Framework for Cost and Effort Estimation of Scrum Projects
Authors: Dave Chitrak Vimalbhai
Published: November 2021

Abstract: Software Process Models from its inception instill standardization and creates a generic culture of developing software for various IT industries. A great paradigm shift has been observed in terms of embracing Agile Development methodology as a viable development methodology in cross key business units. There is a buffet of agile methodologies comes under the umbrella of ASD, out of which Scrum got the highest popularity and acceptability index. Agile based software development is the need of immediate environment. There is an increasing demand for significant changes to software systems to meet ever-changing user requirements and specifications. As Agile is volatile, so effort estimation is challenging and still striving for perfection to decide size, effort, cost, duration and schedule of projects with minimum error. This cause sensitizes potential researchers all across the globe to start working on addressing the issue of inaccurate predication of efforts. The gap between estimated and actual effort is because of limited or no inclusion of various estimation factors like people and project related factors, inappropriate use of size metric and cost drivers, ignorance of testing effort, team member’s inability to understand user story size and complexity etc. This paper attempts to bridge the gap of estimated and actual effort by the use of soft computing techniques thus taking the research to advance frontier area in terms ofestimation. Keywords: Cost Estimation, Effort Estimation, Scrum, Machine Learning, Agile Software Development
Microservices Software Architecture: A Review
Authors: Dave Chitrak Vimalbhai
Published: November 2021

Abstract: Architecting is an indispensable activity in all spheres and paradigms of Software Engineering. DevOps, a portmanteau of Development and Operations, has a major adoption challenge in context to Microservices Architecture. Architecture refers to the most important aspect of internal design of a software. Architecture must be good otherwise; it will become slow and much more expensive to add new proficiencies in future. This paper has presented a review of microservices architecture and implementation patterns. Microservice approach is a new concept in software architecture patterns and has leapt up over past few years for describing a certain method to design software applications as collections of individualistically deployable services. In this paper we are looking to discover the role of microservices software architecture in DevOps. It is found that adopting DevOps may carry many challenges/issues like organizational values, immaturity of the tools and infrastructural support with it for architecting with it. Keywords: Microservices Architecture, Microservice, Service Oriented Architecture (SOA), Software Architecture, DevOps
Transfer learning-based Fashion Image Classification using Hybrid 2D-CNN and ImageNet Neural Network
Authors: Duseja Sweety
Published: November 2021

Abstract: Many algorithms have been developed as a result of recent advances in machine learning to handle a variety of challenges. In recent years, the most popular transfer learning method has allowed researchers and engineers to run experiments with minimal computing and time resources. To tackle the challenges of classification, product identification, product suggestion, and picture-based search, this research proposed a transfer learning strategy for Fashion image classification based on hybrid 2D-CNN pretrained by VGG-16 and AlexNet. Pre-processing, feature extraction, and classification are the three parts of the proposed system's implementation. We used the Fashion MNIST dataset, which consists of 50,000 fashion photos that have been classified. Training and validation datasets have been separated. In comparison to other conventional methodologies, the suggested transfer learning approach has higher training and validation accuracy and reduced loss. Keywords: Machine Learning, Transfer Learning, Convolutional Neural Network, Image Classification, VGG16, AlexNet, 2D CNN.
IMPACT OF PILATES TRAINING VERSUS PROGRESSIVE MUSCLE RELAXATION TECHNIQUE ON QUALITY OF LIFE IN MENOPAUSAL WOMEN- A COMPARATIVE STUDY
Authors: Phansopkar Pratik
Published: November 2021

Menopausal women shows common symptoms which includes night sweats and hot flushes, heart distress, disturbances in sleep, depression, irritability, anxiousness, weight changes, physical and mental fatigue, joint and muscle pain. This affects the Quality Of Life of the Menopausal women. Pilates Training has proven beneficial for enhancing QOL in menopausal women but there is paucity of evidence of effect of Progressive Muscle Relaxation Technique in Menopausal women on QOL. The research is an initiative study that focuses on the effectiveness of PMRT on the various aspects of Quality Of Life of the menopausal women and comparison of the Pilates training and PMRT in order to enhance the QOL of participants. Effect of Pilates training & Progressive Muscle Relaxation Technique on menopausal women’s QOL and comparison of both the technique. Methods: 42 participants aged >45 years will be randomly categorized in two groups: Group A (n= 21) and Group B (n=21). The study duration will be of 6 months. The pre and post Intervention will be taken from both the group and data will be analyzed with the help of main outcome measure which is Menopause specific Quality Of Life. Subject showed significant improvement in physical and psychosocial domain of MENQOL followed by both the intervention and Pilates Training has been seen more effective than PMRT. The study concluded that both the Pilates and Progressive Muscle Relaxation Therapy helped in improving the patients QOL.
EFFICACY OF PLYOMETRIC TRAINING ON THE AGILITY IN POLICE CADETS
Authors: Phansopkar Pratik
Published: November 2021

Agility have been defined by the capacity to retain or determine the location of body by shifting its direction rapidly in a sequence of movements. Agility, speed and explosive power are qualifying components of physical fitness and desirable athletic performance, and play a key role in most sports. Agility can enhance the coordination and regulation of locations of the body throughout movement. Objective: To study the efficacy of the 6-weeks and 12-weeks Plyometric training on the agility in police cadets. Method: 40 Cadets aged above 18 years were grouped into two. A group continued their regular activities while rest underwent 2 sessions of plyometric training every week for 6 weeks, along with their daily activities. Analysis was then carried out with assessment of T-test Agility test, Illinois Agility Test, Edgren Side Step Test. Study duration is 6 months and intervention duration is 12-weeks, hence participants will be enrolled during first 3-months of study so 12 week intervention has been completed successfully. Assessment will be done on 1st day of visit then at the end of 6th week and again at the end of 12th week. Participants would have to perform 2 session of Plyometric Training per week in other group. Result: The results show that there is improvement the agility of the police cadets through the outcomes measures taken as a instrument to measure the difference in 1st day, 6th week and 12th week. There is decrease in time period of Agility T-test from 14.04±1.64 to 10.96±1.39 in group A and from 14.16±1.43 to 13.53±1.52 in group B. There is increase in steps of Edgren Side Step test from 34.95±4.84 to 40.93±4.17 in group A and from 34.97±4.17 to 36.31±4.34 in group B. There is decrease in time period of Illinois Agility test from 20.61±4.36 to 18.33±4.14 in group A and from 20.73±4.45 to 20.47±4.42 in group B. Conclusion: This study concludes that plyometric training intervention have improved the agility among the police cadets and it can be implemented among personnel’s from law enforcement agencies.
CONSERVATIVE REHABILITATION OF PARTIAL ANTERIOR CRUCIATE LIGAMENT TEAR FOR BETTER FUNCTIONAL OUTCOME
Authors: Dadgal Ragini
Published: November 2021

To stabilize the knee joint, the anterior cruciate ligament (ACL) is one of the important ligaments. For normal movement and mechanics of the knee joint, ACL is important. If the ACL is torn, people notice problems in stability function of knee joint and there the feeling of ‘giving away’ while weight bearing. The function of anterior cruciate ligament is to restrain translation of the tibia on the femur. However, this role is divided by either anteromedial or the posterolateral bundle, depending on the knee flexion angle. The posterolateral bundle is stretched when the knee is close to full extension; as the knee flexes, the posterolateral bundle loosens and the anteromedial bundle becomes tight. In this report, a 32-year-old male who had a history of twisting of the leg while jogging, started by him since 40 days, lead to partial thickness tear of ACL, minimal joint effusion along the periarticular surface of the right knee and was diagnosed by radiological findings and MRI. As patient was not ready for surgery, he decided to opt for physiotherapy management. The aim of this study is to study effects on functional outcomes after physiotherapy rehabilitation of ACL injury without any invasive procedure.
RELATIONSHIP BETWEEN CORONAVIRUS AND MUCORMYCOSIS DISEASE
Authors: Londhe Pallavi
Published: November 2021

As the human-to-human communicated infection, Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2), has been a crisis worldwide general wellbeing event. Mucormycosis is a genuine, irregular however cosmopolitan, uncommon artful contagious contamination brought about by a gathering of molds called mucormycetes. These molds live throughout all the climate. It most normally influences the sinuses or the lungs in the wake of breathing in parasitic spores from the air. Mucormycosis is an uncommon disease, which when recognized early can be controlled. The connection among Coronavirus and mucormycosis of the paranasal sinuses should be given genuine thought. Uncontrolled diabetes and over-ardent utilization of steroids are two primary variables irritating the ailment, and both of these should be appropriately checked.
Error mitigation with Clifford quantum-circuit data
Authors: Czarnik Piotr , Arrasmith Andrew , Coles Patrick J. , Cincio Lukasz
Published: November 2021

Achieving near-term quantum advantage will require accurate estimation of quantum observables despite significant hardware noise. For this purpose, we propose a novel, scalable error-mitigation method that applies to gate-based quantum computers. The method generates training data {Xinoisy,Xiexact} via quantum circuits composed largely of Clifford gates, which can be efficiently simulated classically, where Xinoisy and Xiexact are noisy and noiseless observables respectively. Fitting a linear ansatz to this data then allows for the prediction of noise-free observables for arbitrary circuits. We analyze the performance of our method versus the number of qubits, circuit depth, and number of non-Clifford gates. We obtain an order-of-magnitude error reduction for a ground-state energy problem on 16 qubits in an IBMQ quantum computer and on a 64-qubit noisy simulator.
Identity Politics and International Security of the Post-Soviet European States
Authors: Fadeeva Lyubov A. , Plotnikov Dmitrij S.
Published: November 2021

In the article, identity politics is understood as an intentional policy towards forcing and maintaining a macro-political identity. The authors also refer to the traditional understanding of identity politics as a political course focused on protecting the rights of oppressed (deprived) minorities. The object of the research is the European countries of the post-Soviet space. The authors emphasize the dominance of the international (European) vector of political identity, based on the position declared in official speeches and confirmed in the media and history textbooks. The authors identify several stages that determine the algorithm of identity politics in the Baltic countries, the Ukraine and Belarus. They give examples of how in modern conditions the reference to value orientations actualizes the classical understanding of identity politics, at the same time exacerbating the confrontation between the countries that have chosen the European vector and those who hesitate or do not have such a chance.
Political Values in the European Post-Soviet Space: Identity and Sovereignty in the Face of Integration Processes
Authors: Pankevich Natalia V.
Published: November 2021

The article analyzes the intergation processes in the post-Soviet space and shows that their direction is determined by the competition of states in a specific organizational field of political values. The effectiveness of the governments in this field depends directly on their ability to switch between the political values of the country and universal aggregations. This ability is becoming a key attribute of the empirical sovereignty of the state today. It is shown that in the conditions of asymmetric integration into the EU space in post-socialist countries and insufficient integration in the former Soviet republics, the accomplishment of this function requires specific institutional adaptations: differentiation between buffer mechanisms responsible for communication with external value systems, and the core that holds the deep value complexes of the community. The stability of the organizational bundle of state sovereignty and identity, the specifics of its functionaries in the post-Soviet space are described as giving the Russian Federation an opportunity of value action, focused on the population of post-Soviet and post-socialist countries and bypassing communications with pro-European-oriented and subordinated power apparatuses.
Transforming the Party Identity of German Radical Right: In Search of Female Support
Authors: Burmistrova Ekaterina S.
Published: November 2021

The crises of the beginning of the 21st century changed the political landscape of modern Germany, which was manifested in increasing right-wing radicalism. As the party identity of the far-right transforms, they shift from being marginal nationalist anti-migrant forces, contradicting the democratic culture of Germany, to movements which defend identity and rights, including womens rights. Thus, the far-right in Germany claim to become a part of the civic culture that includes the right to criticize and disagree with the governments policies. The article examines how far-right parties interact with the female electorate on the example of the Alternative for Germany party. The study highlights the main activities of the Alternative for Germany in attracting womens votes, based on the analysis of the partys political program, interviews with party members and media materials. These activities include the orientation towards the socio-economic issues, concerning women, the consideration of the migrant problem through the prism of the Muslim threat towards women, the protection of the interests of conservative women, the attraction of women as party leaders. The author pays a special attention to female right-wing activists, as independent actors in the political life of Germany. Based on the cases of Beate Zschpe, Francisca Berit and #120db movement, the following interests of female activists were determined: opposing to gender mainstreaming, which threatens the traditional family structure, and opposing to Islam as a source of violence against women. Alternative for Germany aims at strengthening its positions among all women, whose rights are an integral part of European identity, therefore, the actualization of womens involvement in the movement becomes not only instrumental, but also of value nature. More radically oriented female activists get involved in the European Identitarian movement.
Assessing the coordinated revenue-sharing contract of China’s farmer-supermarket direct-purchase model
Authors: Liang Peng , Sima Melat , Huang Yu , Sun Xiaoyu
Published: November 2021

China began connecting farmers directly with supermarkets 10 years ago, when they were at a disadvantage and forced to sell products at low prices, as unstable cooperation among supply chain participants led to inequitable distribution of revenue. Revenue-sharing contracts offer a risk-sharing approach to ensure supply chain coordination and optimize profit for all. Research on short life cycle products with revenue-sharing contracts assume stable prices or investigate the effects of revenue-sharing contracts on supply chain coordination. This study introduced a revenue-sharing contract model into a ‘farmer-supermarket direct-purchase’ supply chain, considering price fluctuation and retail promotional efforts, stochastic market demand, among other factors. Revenue-sharing contracts achieved long-term stability in supply chain coordination, all participants obtained more profits, and the size of revenue-sharing parameter depends on the position and bargaining power of all participants. A case study on Tianhong supermarket and Nanxia farmer cooperative verified these findings, eliciting practical implications for professionals and policymakers.
Double Retroperitoneal Hydatid Localization: A Case Report
Authors: Mejri Ramzi , Chaker Kays , Bibi Mokhtar , Rhouma Sami Ben , Nouira Yassine
Published: November 2021

The hydatid cyst is a parasitic pathology which is endemic in Tunisia and presents a public health problem. Hydatid cysts located in the retroperitoneum, especially around or in the kidney, are rare and only represent 5% of visceral locations. The kidney is the most commonly affected organ of the urinary tract. The psoas muscle is an uncommon location and not less than 70 cases have been cited. We report the case of an unusual presentation of a right kidney hydatid cyst associated with a psoas muscle location. To our knowledge, this association of double retroperitoneal location has not been reported in the literature.