bluuebunny/crossref_metadata_2025 huggingface dataset:
Quinolones, 2-Pyridones and Resistant Type II DNA Topoisomerases
Authors: Shen Linus. L. , Tanaka S. Ken , Chu Daniel. T.W.
Published: October 2022

DNA gyrase and topoisomerase IV, the bacterial type II DNA topoisomerases, are known to be the targets of fluoroquinolones. The l1uoroquinolones have rapid bactericidal action derived from their dual actions to inhibit the catalytic activity of the essential enzymes and to form a stable enzyme-DNA cleavable complex. These actions lead to a quick arrest of DNA replication, inhibition of DNA segregation and induction of irreversible DNA damage. These inhibitors have a relatively simple chemical structure, but are extremely potent with antibacterial activity reaching to a few nanograms per milliliter. The high potency and specificity of the inhibitor are believed to be achieved, using DNA gyrase as a model, by their unique capability to bind cooperatively to a
partially denatured DNA pocket created by the target enzyme during the strand breaking-passing steps of the catalysis. The future of the clinical use of quinolones is shadowed by the recent development of resistance which primarily results from mutations in the structural genes of the target enzymes. Therefore, one of the current efforts in this area of research is to develop means to overcome the drug resistance. Using a filter-binding assay, we found that ABT-719, a recently discovered compound in the new 2-pyridone family, has unique activity toward resistant E. coli DNA gyrase and topoisomerase IV. Differe11tial activity analysis also demonstrate that the 2-pyridone is more potent against DNA gyrase than topoisomerase IV in terms of their DNA breakage activity in vitro. This is consistent with the genetic analysis results obtained with E. coli that the primary target of these drugs is DNA gyrase but not topoisomerase IV. Using the 'conformation switch model', we hypothesize that this class of compound may have unique capability to fit the mutated binding site which consists of both DNA and the enzyme.
Transcriptional Profiling of TGF-β Superfamily Members in Lumbar
DRGs of Rats Following Sciatic Nerve Axotomy and Activin C Inhibits Neuropathic
Pain
Authors: Liu Xing-Jun , Zhang Feng-Ming , Wang Bing , Hu Han , Li Qing-Yi , Chen Hao-Hao , Luo Li-Ting , Jiang Zuo-Jie , Zeng Mei-Xing
Published: October 2022

Background:

Neuroinflammation and cytokines play critical roles in neuropathic pain and axon degeneration/regeneration. Cytokines of transforming growth factor-β superfamily have implications in pain and injured nerve repair processing. However, the transcriptional profiles of the transforming growth factor-β superfamily members in dorsal root ganglia under neuropathic pain and axon degeneration/regeneration conditions remain elusive.

Objective:

We aimed to plot the transcriptional profiles of transforming growth factor-β superfamily components in lumbar dorsal root ganglia of nerve axotomized rats and to further verify the profiles by testing the analgesic effect of activin C, a representative cytokine, on neuropathic pain.

Methods:

Adult male rats were axotomized in sciatic nerves and lumbar dorsal root ganglia were isolated for total RNA extraction or section. A custom microarray was developed and employed to plot the gene expression profiles of transforming growth factor-β superfamily components. Real-time RT-PCR was used to confirm changes in the expression of activin/inhibin family genes, and then in situ hybridization was performed to determine the cellular locations of activin βC mRNAs. Rat spared nerve injury model was performed and pain test was employed to determine the effect of activin C on neuropathic pain.

Results:

The expression of transforming growth factor-β superfamily cytokines and their signaling, including some receptors and signaling adaptors, were robustly upregulated. Activin βC subunit mRNAs were expressed in the small-diameter dorsal root ganglion neurons and upregulated after axotomy. Single intrathecal injection of activin C inhibited neuropathic pain in spared nerve injury model.

Conclusion:

This is the first report to investigate the transcriptional profiles of members of transforming growth factor-β superfamily in axotomized dorsal root ganglia. The distinct cytokine profiles observed here might provide clues toward further study of the role of transforming growth factor-β superfamily in the pathogenesis of neuropathic pain and axon degeneration/regeneration after peripheral nerve injury.
Perception and Utilization of Artificial Intelligence (AI) among Dental Professionals in Saudi Arabia
Authors: Aboalshamat Khalid T.
Published: October 2022

Objective:

Artificial intelligence (AI) is the new buzzword that is trendy in multiple branches of dentistry. The aim of this study was to assess perceptions and utilization of AI among dental professionals in Saudi Arabia.

Methods:

This was a cross-sectional study investigating 389 dental students and dentists from 22 cities in Saudi Arabia using a validated self-reported questionnaire.

Results:

A total of 49.4% of participants reported knowing what AI is; 44.5% reported having basic knowledge of AI principles, and 42.2% know of AI uses in dentistry. The most common AI information source was social media (66.07%). Out of 17 AI attitude items, 16 were scored above the midpoint. A total of 75.0% of participants agreed or strongly agreed AI will lead to major advances in dentistry. In contrast, 49.1% agreed or strongly agreed that AI could replace dentists in the future. There were no significant differences by gender or region, but students and interns had significantly higher attitude scores than did dentists. There was a widespread desire to take professional courses in dental AI use (69.7%), and some had used dental AI applications (25.4%) or taken an AI course (18.5%–20.3%). The most common barriers to dental AI use were non-availability of courses (73%) and lack of time (68.9%).

Conclusion:

Dental professionals in Saudi Arabia have moderate awareness levels and high rates of good attitudes about AI in dentistry. However, AI use in practice is limited. Incorporating AI in dental curricula is crucial due to the worldwide digital transformation.
Pleural Infections: Antimicrobial Susceptibility Patterns of Bacterial Isolates and Associated Factors in Suspected Hospitalized Patients at Arba Minch General Hospital, Southern Ethiopia
Authors: Alelign Dagninet , Ameya Gemechu , Siraj Munira , Fenta Fikremariam
Published: October 2022

Background:

Pleural infection remains a clinical problem with high morbidity and mortality all over the world. Antimicrobial options are uncertain due to the lack of understanding of the bacteriology of pleural infection. Thus, the goal of this study was to determine bacteriological profiles, antimicrobial susceptibility patterns, and factors associated with pleural infection.

Methods:

An institution-based cross-sectional study was undertaken in Arba Minch General Hospital from 1st January to 30th November 2020. Socio-demographic, clinical, and behavioral data were collected using a pre-tested, structured questionnaire. Adducted amounts of pleural fluid samples were collected aseptically with sterile test tubes. Standard procedures were utilized for bacterial identification, and antimicrobial susceptibility testing was done using Kirby–Disk Bauer's diffusion method. Version 25 of the Statistical Package for the Social Sciences (SPSS) was used to analyze the data. The p-value of 0.05 was considered statistically significant.

Results:

A total of 152 hospitalized patients were enrolled in this study. The overall magnitude of bacterial pleural infection was 27.6%. The predominant bacteria isolated were Staphylococcus aureus with 34.9%, followed by Escherichia coli with 11.6%. Multidrug-resistant (MDR) isolates account for around 48.8% of all isolates, with Gram-positive bacterial isolates accounting for 71.4%. Methicillin-resistant was found in 26.7% and 33.3% of isolated Staphylococcus aureus (MRSA) and coagulase-negative staphylococci (CoNS), respectively. One isolate of Enterococcus spp. was found to be vancomycin-resistant. All isolated Streptococcus pneumoniae and Streptococcus pyogenes were susceptible to penicillin, erythromycin, cotrimoxazole, and vancomycin. Likewise, isolated Pseudomonas aeruginosa was susceptible to piperacillin. The pleural infection showed a statistically significant association with age group less than or equal to 25 years old (p<0.001), hospital admission for more than seven days (p<0.007), chest tube drainage (p<0.021), previous history of pneumonia (p<0.029) and habit of alcohol drinking (p<0.029).

Conclusion:

The overall rate of culture-confirmed pleural infection was high, and a considerable percentage of bacteria isolates showed increased resistant to routinely used antibiotics, indicating that more attention is needed to follow the spread and emergence of drug-resistant bacterial agents.
Association between Survivin rs9904341 Polymorphisms and Susceptibility to Acne Vulgaris
Authors: El-Beah Shimaa M. , ELmansoury Eman , Alghobary Moheiddin , El-Desoky Manal M.
Published: October 2022

Background:

Acne vulgaris (AV), common dermatopathology, has a complex etiopathogenesis with a genetic background. The Survivin gene, which encodes an inhibitor of apoptosis protein, has been linked to some dermatologic disorders. The relationship between Survivin gene polymorphisms and AV has not yet been explored.

Objective:

To study the effect of survivin gene polymorphism rs9904341 and survivin serum concentration on the development of AV in Egyptian patients.

Methods:

Serum survivin was estimated using an enzyme-linked immunosorbent assay. Real-time quantitative PCR using allelic discrimination probes was conducted to investigate the rs9904341 polymorphism in the survivin gene in 118 AV patients and 120 healthy controls.

Results:

The serum survivin levels were significantly higher in AV patients than controls. Also, it was positively correlated with acne severity. The C allele was significantly more observed in acne patients compared to healthy controls. Patients with the C allele had 1.6 times higher odds of exhibiting acne than those with the G allele. The C/C genotype was significantly more observed in cases versus controls. Patients with the C/C genotype had 2.8 times higher odds of exhibiting acne as compared to those with the G/G genotype. However, no significant association was found between genotype distribution and grades of acne severity.

Conclusion:

Results showed significant associations between survivin gene rs9904341 genotypes and AV susceptibility, although it was not related to acne severity and could not be used as a marker of disease activity.

Abbreviations:

AV: Acne vulgaris, GAGS: Global Acne Rating System, SNPs: Single nucleotide polymorphisms.
Fuzzy Logic Implementation in Patient Monitoring System for Lymphatic Treatment of Leg Pain
Authors: Abdul Wahid Fauziah , Anita Khairi Noor , Muhammed Suzuki Siti Aishah , Hanim Mokhtar Rafidah , Md Norwawi Norita , Ismail Roesnita
Published: October 2022

Leg pain occurs in many people nowadays due to today's lifestyle. This
leads to various treatments for leg pain with an unprecedented monitoring system.
However, there are some issues regarding the existing leg pain treatments concerning a
suitable monitoring procedure. The first issue is the treatment method, where most
treatments for leg pain use compression. Still, they are costly, time-consuming, and
cumbersome, requiring patients to visit hospitals regularly and affecting patients'
compliance to continue with treatments. The second issue is the treatment period for
leg pain within a short time frame, whereby it is difficult to see the major effect of a
certain treatment. The third issue is the lack of a system to monitor patient's
rehabilitation progress to increase patients' confidence to continue treatment
consistently to cure their leg pain. Therefore, a patient monitoring system needs to be
developed to cover existing research issues under the main area of health informatics.
This system will apply the double-loop feedback theory that includes the agile
framework to continue the process. The double-loop framework will ensure all the
problems and preferred modifications will undergo a simultaneous fixation once each
development segment is completed. This patient monitoring system is a computational
intelligence system that focuses on fuzzy logic, producing a decision-making outcome
based on collected data. This process aims to perform a valid treatment analysis as
accurately as possible. Its development is significant for the national agenda as it falls
under the national research priority area of health and medicine. The expected outcome
would be introducing a computational intelligence inpatient monitoring system for
lymphatic treatment of leg pain based on double-loop feedback theory.
Safe Distance and Face Mask Detection using OpenCV and MobileNetV2
Authors: Maya B.S. , Asha T. , Prajwal P. , Revanth P.N. , R Pailwan Pratik , Kumar Gupta Rahul
Published: October 2022

The COVID-19 epidemic affects humans irrespective of race, religion,
standing, and caste. It has affected more than 20 million people worldwide. Wearing
face masks and taking public safety measures are two advanced safety measures that
need to be taken in open areas to prevent the spread of the disease. To create a secure
environment that contributes to public safety, we propose a computer-based method
that focuses on automatic real-time surveillance to identify safe general distance and
face masks in public places using a model to monitor movement and detect camera
violations. We achieve 97.6% specificity with the help of OpenCV and MobileNetV2
strategies.
Progression Prediction and Classification of Alzheimer’s Disease using MRI
Authors: Mohan Sruthi , Naganandhini d S.
Published: October 2022

Alzheimer’s disease (AD) is one of the most common neurodegenerative
diseases (dementia) among the aged population. In this paper, we propose a unique
machine learning-based framework to discriminate subjects with the first classification
of AD. The training data, preprocessing, feature selection, and classifiers all affect the
output of machine-learning-based methods for AD classification. This chapter
discusses a new comprehensive scheme called Progression Prediction and
Classification of Alzheimer’s Disease using MRI (PPC-AD-MRI). Considering the
data gathered with T1-weighted MRI clinical OASIS progressive information, the
consequences have been evaluated in terms of precision, recall, F1 score, and accuracy.
This recommended model with enhanced accuracy confirms its suitability for use in
AD classification. Other methods can also be used successfully in the disease’s early
detection and diagnosis in medicine and healthcare. 
Application of IoT–A Survey
Authors: Mishra Richa , Tushar Bentham Science Publisher
Published: October 2022

Internet of Things (IoT) is surely a term that gives us the thought that everything is related to the internet. IoT is an assembly of machines that can share and transfer data. In this way, IoT can make our lives more convenient and easy because no physical interaction is required between machines and humans. As there are so many benefits of this technology there arise some challenges too. In today’s scenario, humans rely very much on the smart applications of the IoT, which will affect our lives to the core. IoT is widely used to exchange information either remotely or locally with the help of sensors. These IoT devices can then process the information according to their needs and can take necessary steps as well. For example, IoT devices can sense the temperature and if the temperature rises above a certain level, they can act as actuators. This chapter provides us with an overview of the recent technologies in the field of IoT and to learn more about some of its very relevant applications. However, this document provides an opportunity for young researchers to gather more and more information about the Internet of things.
Applications of AI in Agriculture
Authors: Singh Taranjeet , Bhadwaj Harshit , Verma Lalita , Navadia Nipun R , Singh Devendra , Sakalle Aditi , Bhardwaj Arpit
Published: October 2022

AI based applications are used for farm-based advisories regarding sprays, forecasting, usage of drones within the farms, infrastructure for humidity and temperature updates to the farmers, etc. Thanks to this, the losses of farmers have begun to decline. Therefore, considering the aims of the government regarding doubling the farmers’ income, the losses of the farmers must be minimized using AI practices. AI intervention has the potential to boost the social and economic well-being of farmers within the medium to long run. The adoption of AI is useful in agriculture as it can bring industrial revolution and explosion in agriculture to feed the growing human population of the world. The study highlights that AI based farm advisory systems are playing an immense role in solving the problems of the farmers by enabling them to require proactive decisions on their respective farms. Various applications of Artificial Intelligence (AI in harvesting, plant disease detection, pesticide usage, AI based mobile applications for farmer support etc.) have been discussed in this survey in detail. Finally, the overview of Deep Learning and its application in agriculture is given.
A radical change in the dental education model in the COVID-19 pandemic
Authors:   Department of Prosthodontics, College of Dentistry, University of Florida, Gainesville, FL 32610, USA, et al. Alzunaydi
Published: October 2022

The present cross-sectional, observational study was done to assess the new norms of dental education, its effect on the students, and awareness in the post-COVID-19 era. Every question had 2 options- after complete lockdown and after partial lockdown. A higher percentage of the students believed that quarantine during the lockdown enhanced their collaboration with their fellow students. 60.7 % of the students during the complete lockdown and 76.9% during the partial lockdown, felt more motivated by the distant technology-dependent model of education. Students during the complete lockdown (69.20%) and partial lockdown (69.50%) felt that online group discussion and discussion of clinical-based case scenarios had an enhancing effect on their learning. Dental students (67%) in the complete lockdown and 75.70% in the partial lockdown felt comfortable with the e-learning. During the complete lockdown, 57.9% of the subjects were not confident in the clinical skills acquired, whereas during the partial lockdown only 38.2% were not confident in the clinical skills acquired. Mean scores for dental education, clinical readiness, and self-preparedness were higher after the partial lockdown as compared to the complete lockdown. However, the self -preparedness was more after the partial lockdown as compared to the complete lockdown. Dental colleges have to deal with e-learning methods being developed all of a sudden due to the pandemic. However, there are still problems with online learning and teaching that can be improved with the help of a supportive administration and tutors recording of learning videos as well as proper training of the staff and students.
Selection Bias in Digital Conversations on Depression Before and During COVID-19 (Preprint)
Authors: Lee Edward , Agustines Davin , Woo Benjamin K P
Published: October 2022

UNSTRUCTURED

NA
Patient Satisfaction With Speech Recognition in the Exam Room: Exploratory Survey (Preprint)
Authors: Sippel Jeffrey , Podhajsky Tim , Lin Chen-Tan
Published: October 2022

BACKGROUND

Medical speech recognition technology uses a microphone and computer software to transcribe the spoken word into text and is not typically used in outpatient clinical exam rooms. Patient perceptions regarding speech recognition in the exam room (SRIER) are therefore unknown.

OBJECTIVE

This study aims to characterize patient perceptions of SRIER by administering a survey to consecutive patients scheduled for acute, chronic, and wellness care in three outpatient clinic sites.

METHODS

We used a microphone and medical speech recognition software to complete the “assessment and plan” portion of the after-visit summary in the patient’s presence, immediately printed the after-visit summary, and then administered a 4-question exploratory survey to 65 consecutive patients in internal medicine and pulmonary medicine clinics at an academic medical center and a community family practice clinic in 2021 to characterize patient perceptions of SRIER. All questions were completed by all participants.

RESULTS

When compared to patients’ recollection of usual care (visits with no microphone and an after-visit summary without an “assessment and plan”), 86% (n=56) of respondents agreed or strongly agreed that their provider addressed their concerns better, and 73% (n=48) agreed or strongly agreed that they understood their provider’s advice better. A total of 99% (n=64) of respondents agreed or strongly agreed that a printed after-visit summary including the “assessment and plan” was helpful. By comparing the “agree” and “strongly agree” responses to the neutral responses, we found that patients felt that clinicians using SRIER addressed their concerns better (P<.001), they understood their clinician’s advice better (P<.001), and receiving a paper summary was helpful (P<.001). Patients were likely to recommend a provider using a microphone based on the Net Promoter Score of 58.

CONCLUSIONS

This survey suggests patients have a very positive perception of speech recognition use in the exam room.
Machine learning to increase the efficiency of a literature surveillance system: a performance evaluation (Preprint)
Authors: Lokker Cynthia , Abdelkader Wael , Parrish Rick , Cotoi Chris , Navarro Tamara , Germini Federico , Linkins Lori-Ann , Haynes R. Brian , Chu Lingyang , Afzal Muhammad , Iorio Alfonso
Published: October 2022

BACKGROUND

Given suboptimal performance of Boolean searching to identify methodologically sound and clinically relevant studies in large bibliographic databases such as MEDLINE, exploring the performance of machine learning (ML) tools is warranted.

OBJECTIVE

Using a large internationally recognized dataset of articles tagged for methodological rigor, we trained and tested binary classification models to predict the probability of clinical research articles being of high methodologic quality to support a literature surveillance program.

METHODS

Over 12,000 models were trained on a dataset of 97,805 articles indexed in PubMed from 2012-2018 which were manually appraised for rigor by highly trained research associates with expertise in research methods and critical appraisal. As the dataset is unbalanced, with more articles that do not meet criteria for rigor, we used the unbalanced dataset and over- and under-sampled datasets. Models that maintained sensitivity for high rigor at 99% and maximized specificity were selected and tested in a retrospective set of 30,424 articles from 2020 and validated prospectively in a blinded study of 5253 articles.

RESULTS

The final selected algorithm, combining a model trained in each dataset, maintained high sensitivity and achieved 57% specificity in the retrospective validation test and 53% in the prospective study. The number of articles needed to read to find one that met appraisal criteria was 3.68 (3.52 to 3.85) in the prospective study.

CONCLUSIONS

ML models improved the efficiency and precision of detecting high quality clinical research publications for literature surveillance and subsequent dissemination to clinicians and other evidence users.
The Circle of Karma: A Realistic Approach to Bhutanese Gender, Culture and Religion
Authors: Jaiswal Dr. Abhishek Kumar
Published: October 2022

The Circle of Karma, a novel published in India in 2005 by Zubaan Books in collaboration with Penguin Books. It is explicitly a Buddhist novel but one that concentrates on the everyday struggle to apply religion to the protagonist- Tsomo’s life. The writing is rich with rich Buddhist imagery but the story firmly grounded in mundane realities of gender and cultural issues, in short an excellent novel about one woman’s hard life, set against vivid gender, cultural and religious background. The novel applies the theory of Nemesis in practice. It deals with the importance of Karma/action. There is message that each human being will experience the Consequences of karma whether good or bad, in one or other way, in this or other birth. There is no escape. The novel is a story of Tsomo the central character, a fat girl compelled by her own restless spirit and later by circumstances to leave her family and go on series of endless travels. Hope and tragedy mark her path in equal measure as her story gives a look of microcosm of Bhutanese society. It is informative regarding the cultural, religious and gender issues in Bhutan which is a Buddhist country.
Power Beyond Sex: A Foucauldian Reading of Lady Macbeth
Authors: Shahiwala Sofiya
Published: October 2022

Shakespeare’s most haunting tragedy, Macbeth, has been regarded as one of his best tragic trios. One of the most significant characters of the play – Lady Macbeth – often realized as the ‘antagonist’ of the play, is portrayed as the impetus and motivational factor behind Macbeth’s brief victory and, apparently, even his ultimum ruinam. With her actions within the course of the play, it becomes a daunting task to justify them without referring to the history of Lady Macbeth. Most of the past studies have focused on her earlier marriage and multiple miscarriages in order to condone her behaviour. The present research essay, however, reviews the play in a deconstructive approach and delves into a deep exploration of the representation of Lady Macbeth in Shakespeare’s renowned tragedy. The study focuses on the influence of normalizing power and gender distinction upon the actions of the characters. It studies the theory of Normalizing Power (as given by Michel Foucault) and views it in the context of how femininity is depicted within Macbeth. It further reinvestigates the patriarchal dominance and looks at the existing power structures that subconsciously affect Lady Macbeth’s motivation, leading to the tragic fall of the characters. By visiting the play from the lens of power and femininity inherent in the subconscious mind of the readers, the research aims to portray Lady Macbeth in a different light, one that is not dominated by supporting ideologies of male dominance or the notion of power in the hands of the phallus.
La exposición al extracto del humo del cigarro induce la proliferación y la sobreexpresión de CCL2 en células A549, así como la migración de fibroblastos pulmonares
Authors: García-Trejo Semiramis Stephania , Medina-Pérez David Melquiades , Balderas-Martínez Yalbi Itzel
Published: October 2022

La Fibrosis Pulmonar Idiopática (FPI) es una enfermedad en la que el hábito al tabaco es el principal factor de riesgo, presenta un proceso de remodelado complejo y desregulado en la que el sistema inmune tiene un papel importante. El extracto del humo del cigarro (CSE) es dañino y da lugar a la síntesis de citocinas en el epitelio del tracto respiratorio. La quimiocina CCL2, se encuentra, por lo general, elevada en lavado broncoalveolar de pacientes con FPI. Sin embargo, se desconoce si el CSE induce su efecto profibrótico a través de CCL2. El objetivo de este estudio fue evaluar el rol de CCL2 en la migración y expresión de moléculas profibróticas al usar un modelo in vitro de células epiteliales pulmonares A549 transfectadas con el gen de CCL2 y los fibroblastos CCD25 estimulados con el CSE. Los resultados indican que el CSE incrementa la expresión de CCL2, y modula la migración y proliferación de las células A549, así como la expresión y síntesis de TGF-β1. El medio condicionado proveniente de las células A549 que sobreexpresan a CCL2 induce a la migración y a la sobreexpresión del gen IL6 en los fibroblastos. Así mismo, la sobreexpresión de CCL2 en las células A549 estimuladas con el CSE da lugar a un efecto profibrótico en células CCD25, fungiendo como un orquestador en el desarrollo de la FPI.
Innovation in Rural Marketing
Authors: Joshi Dr. G R
Published: October 2022

Abstract: The aim of this research is to study the current scenario of Rural Marketing in India, the rural market presents with its various opportunities and challenges, given how diversely populated the rural consumers in India are. The rural market consists of 83.3 crore people and this is what attracts marketers to enter in this market. To market in the territory of rural marketing cqorporations must understand the rural consumer. There is a shift incoming from urban to the rural marketing as the development and levels of literacy and awareness among the rural consumers is rising and these consumers want value for their money. Marketers when catering to rural consumers need to connect with them and also undertake demonstrations for the better understanding of the rural people. Many innovations in the strategy to market into the rural markets have been undertaken in the past years. This paper aims to understand these innovations and strategies and to understand the rural consumer of India. The future of rural marketing and the development in rural areas is promising in development of rural economies and for the people living in these rural areas a better life.
A Case Study on Indore BRTS with Reference to Other Indian Cities
Authors: Singh Jayati , Chaudhary Harivansh Kumar , Malik Akash
Published: October 2022

Abstract: Bus Rapid Transit refers to a set of coordinated changes to a transportation system's facilities, working conditions, efficiencies, and technologies that prioritise bus transportation on city streets. This article provides an overview of the Delhi and Pune BRT systems, also identifies some similar challenges in operating both systems, and offers some solutions to assist improvements in Indore BRTS significantly and effectively, avoiding the bottlenecks that plague Delhi & Pune BRTS. The main objective is to increase the speed of transportation by lowering the cost of public transit and making it accessible to individuals from all socio-economic backgrounds. It alleviates traffic congestion and promotes public transportation and lessens reliance on private cars to enhance the city's traffic management and reduce pollutants thus enhancing environmental conditions.This paper attempts to review implementation of BRTS in Indore. The suggestions are given based on the research's analysis and findings.
The Role of Leadership on Organizational Change
Authors: Haruna Joel Bulus
Published: October 2022

Abstract: The purpose of this research is to investigate the function of leadership in organizational change. A leader acts as a change agent who can effectively manage organizational processes. To comprehend, accept, and execute changes in their business model, firms must continually assess and reevaluate current technological breakthroughs and client expectations. Organizations must now better comprehend the importance of change and prepare themselves to accept not just current but also future trends in order to achieve long-term success. According to many studies, 70 percent of organizational transformation fails to achieve its goals due to inadequate leadership style, despite the fact that leaders play a critical role in a company. As a result, the process of change need effective and highly qualified leadership capable of identifying the most desirable features and addressing challenges in the most suitable manner. According to the examination of literature and the outcomes of real-life case studies studied for this research paper, a leader with the competences "Visionary," "Democratic," and "Transformational," as well as a "Innovative Approach," may ensure more successful organizational change with success. As a consequence, this study offered a model derived from leadership competences, including organizational change, long-term success, and innovation, that express the link between effective organizational change and the function of leadership.
Cyber Security for Internet of Things
Authors: Gupta Dr. Shikha , Nikam Vaama , Mukadam Tanay , Deshmukh Prathmesh , Bhanse Prathamesh
Published: October 2022

Abstract: The Internet of things has gained intense popularity in the past few years. It has become one of the most important technologies. However along with gaining popularity, threats related to cyber security have increased. As the name suggests, Internet of Things, it is completely based on the internet which means a hacker can find a weaklink in the network and exfiltrate data to the cloud and threaten to keep, delete or make the data public. Thisincludes sensitive data, personally identifiable information (PII), protected health information (PHI), personal information, intellectual property, data, and governmentaland industry information systems. Cybersecurity is a set ofprocesses, tools and frameworks to protect networks, devices, programs and data from cyber attacks.This paper highlights the different types of Cyber attacks possible on IoT and suggests few mitigations towards it
Prediction of the castellated beams deflections
Authors: Pritykin Alexej I.
Published: October 2022

Introduction. Existence of openings in webs of beams reduce their shear rigidity and increase deflections compare with beams of the same dimensions with solid web. Investigation of the castellated beam’s deflections is important, because one of main demands to beams of engineering structures is guarantee of necessary rigidity, i.е. restriction of ratio deflection to length. In the work it was studied deflections of castellated beams with diamond shape, hexagonal, sinusoidal and circular openings, widely used in structural industry.

Materials and methods. Effect of openings on transverse deflections of the castellated steel beams was studied analytically with theory of composite bars, with the finite element method and experimentally on four meters’ double consoled beams under loading with concentrated forces applied at consoles.

Results. Universal analytical relation was obtained which allow reliably evaluate deflections of simply supported beams with various shape of openings under different kind of loading. Analysis of results of calculation of beams by FEM using program complex ANSYS demonstrates satisfactory correspondence to experimental data and to analytical relations.

Conclusions. Obtained with the theory of composite bars analytical dependences for deflections of simply supported beams are applicable for beams with various type of perforation and different kind of loading.
Methodology for substantiating the effectiveness of dust capture by “green” roofs
Authors: Sysoeva Elena V. , Gelmanova Margarita O. , Slesarev Mikhail Yu.
Published: October 2022

Introduction. The analysis of practical and theoretical experience shows a significant impact of “green” roofs to reduce the concentration of PM2.5, but the existing methods do not allow in calculating the concentration of pollutants to take into account the dust absorption capacity of the plantations in respect of PM2.5 particles. The aim of this work is to create a method to justify the effectiveness of “green” roofs to reduce fine PM2.5 particles to increase the environmental safety of the urban environment (as applied to the RF) according to the proposed typology based on the developed mathematical model.

Materials and methods. Analytical generalization and systematization of scientific research, mathematical methods were applied.

Results. The developed method represents a sequence of 29 actions, the implementation of which will lead to a conclusion about whether to green the existing building roof, and whether it will be effective in terms of reducing the concentration of fine particles PM2.5 in the air environment. Performing the actions involves performing a calculation in accordance with a mathematical model. The final numerical result of this methodology will be the average for the summer period of time daily accumulation of dust on the surface of the “green” roof in grams. The greater the value, the more effective the device “green” roof in the selected location in terms of improving the environmental safety of the city.

Conclusions. The developed method has practical significance and can be used in various urban planning scenarios, when it is necessary to evaluate numerically the effectiveness of the “green” roof on a particular building, which is carried out at the design stage by comparing different options for placement of “green” roofs and choose the best of them (for which, other things being equal, the average daily dust accumulation PM2.5 for the summer period in grams on the surface of the “green” roof will be the greatest) in terms of ensuring environmental safety.
Method of multidimensional scaling for evaluating the effectiveness of interaction between investment and construction sector enterprises and special economic zones in the aspect of improving the financial and innovative potential of construction industry
Authors: Iskandarov Daler Z. , Borozdina Svetlana M.
Published: October 2022

Introduction. The article is devoted to the study and application of method of multidimensional scaling to assess the process of interaction between enterprises of the investment and construction sector (ICS) and special economic zones (SEZ) to increase the financial, economic, and innovative potential of construction industry. The relevance of the study is due to the growing importance of using territorial development tools (SEZ) to solve the tasks of implementing technological changes aimed at increasing the emergence of a variety of innovative projects that will allow us to form completely different approaches to ensure continuous development in various construction sectors and transform existing methods of assessing and analyzing the financial and economic condition of ICS enterprises in terms of interaction with SEZ.

Materials and methods. Proposed evaluation method in the article has a strict scientific consistency and an appropriate theoretical basis, which served as the basis for its development. Developed method of multidimensional scaling for evaluating the process described in the article has universal applicability for various enterprises of construction industry, since it is structured in accordance with the purpose and objectives of the study. The key approaches that used in framework of scientific research were methods of qualimetric assessment and the construction of infographic models of interaction which illustrating the dynamics of indicators of financial and economic analysis of the ICS enterprise

Results. The results of using multidimensional scaling provide an effective way to obtain visual information about prospects of interaction between enterprises of the ICS and SEZ in dynamics, characterized by the availability of managerial application for management of enterprises and persons responsible for interaction. The peculiarity of multidimensional scaling is possibility of considering properties of phenomenon under study arising from both the external and internal environment, which allows for a comprehensive assessment reflecting data from various information sources.

Conclusions. Construction scales of importance and influence organizes the evaluation procedure based on specialized systems of representation of quantitative results that demonstrate positive and negative trends in the deviation of values of indicators in the form of a qualitative characteristic that can be supplemented for further research, depending on the purpose of scientific research.
Análise dos pressupostos do paradigma psicossocial nos Centros de Atenção Psicossocial (CAPS) na perspectiva de profissionais
Authors: Severo Ferreira Guilherme , Moraes Moro Larissa , Bones Rocha Kátia
Published: October 2022

O modelo de atenção psicossocial foi construído com a elaboração de uma nova estrutura de política de saúde mental. Como propósito, tem-se a garantia da dignidade humana e o direito à cidadania por meio de dispositivos que substituam o modelo asilar. O objetivo deste artigo é analisar, a partir da perspectiva de profissionais, o que consideram como pressupostos neste modelo e como se operacionalizam no cotidiano dos Centros de Atenção Psicossocial (CAPS). Trata-se de um estudo qualitativo, transversal e de caráter exploratório. Foi realizado em Porto Alegre (Brasil) em 2019, com onze profissionais de diferentes áreas. Foram conduzidas entrevistas semidirigidas e utilizou-se a Análise Temática para análise de dados. Os resultados foram organizados com os pressupostos mais elencados e elaborados pelos participantes: Autonomia, Território, Cidadania e Reinserção Social. Destaca-se diferentes sentidos atribuídos aos pressupostos, e suas manifestações em ações de cuidado coerentes com o paradigma psicossocial.
Revisión sistemática de estudios sobre intervenciones que promueven la salud en conductores profesionales
Authors: Valencia-Contrera Miguel Andrez , Valenzuela-Suazo Sandra Verónica , Rodríguez-Campo Varinia Alejandra , Jara-Concha Patricia del Tránsito , Sepúlveda-Guerra Elena Belén
Published: October 2022

Introducción: Los trabajadores que se dedican al rubro de conducción están expuestos a factores que dificultan su quehacer laboral, tales como: problemas asociados a la temperatura, ruidos y vibraciones, ventilación insuficiente e ineficiente, atascos y relacionamientos interpersonales con los pasajeros. Objetivo: Identificar, en el estado del arte disponible, qué intervenciones promueven la salud de los conductores profesionales. Material y método: Revisión sistemática, siguiendo las recomendaciones de Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA), orientada por la pregunta: ¿qué intervenciones promueven la salud de los conductores profesionales? Resultados: La búsqueda arrojó 1303 artículos, de los cuales se incluyeron 11; las intervenciones identificadas se asociaron a dispositivos portátiles y mensajería de salud móvil, entrevistas motivacionales, documentos interactivos, exposición a entornos naturales, programas intensivos, asesoramiento, cambios a nivel de políticas, cambios ambientales y de sistemas. Conclusión: Se identificaron intervenciones que incluyeron a la tecnología, entrevistas, el ambiente y control estratégico. Se recomienda la implementación de las intervenciones identificadas, pues se torna perentorio el abordaje de la salud de los conductores profesionales, considerando las características descritas en el presente estudio.
Protecting White Interests: A Case Example of Interest Convergence in Policymaking
Authors: Daftary Ashley-Marie , Ortega Debora , Hylton Mary
Published: October 2022

Although various policy analysis frameworks exist within the social work literature, fewspecifically address the racism inherent to policymaking processes. We propose interestconvergence as a conceptual lens for policy analysis to expose the racism inherent inpolicymaking. Transcripts from 19 public hearings of five bills sponsored during the 2017Nevada legislative session were included in the data analysis for this study. A thematic analysistook place at the latent level to identify underlying concepts, assumptions, and ideas within thedata (Braun & Clarke, 2006). Results indicate that the public testimony process and ultimateoutcomes of public policy making protect white interests which sustains structural racism. Inunderstanding the dynamics of interest convergence in policymaking, social work educators,policy advocates, and macro-practitioners would be better equipped to impact the policymakingprocesses focused on racial equity.
Green Jobs for Returning Citizens: A Solution to the Interwoven Problems of Climate Change and Recidivism
Authors: Lozornio Francisco J. , Smith Kelly
Published: October 2022

Climate change is dismantling social protections through both direct effects of disasters and theindirect consequences as communities attempt to recover, which often exacerbates trauma andparallel known risk factors for recidivism among returning citizens. As a discipline, social workmust wholly recognize the links between environmental injustice and other primary factors ofinequality such as race and class, which also increases the likelihood of incarceration followedby re-entry into society. Green jobs programs can allow society to address two seeminglydisparate issues: recidivism and climate change, offering practical and mutually beneficialsolutions. By building on the decarceration movement’s efforts and following examples fromLos Angeles and Chicago, the field of social work can continue to advocate for green jobs as anopportunity to lead climate change and recidivism mitigation discourse while simultaneouslyoffering solutions to the most pressing issues of our time. The authors argue that this form ofmultisolving on micro, mezzo, and macro levels is the future of the field.
Bridging Out of an Impoverished Paradigm: A Qualitative Study to Help Us ‘Rethink Poverty’ Today
Authors: Smith-Carrier Tracy , Johnson Trevor , Clarke Shane
Published: October 2022

This study explores two poverty training curricula, namely Bridges Out of Poverty (‘Bridges’) and a community-developed curriculum dubbed Rethink Poverty, intended to educate people about the causes, impacts and outcomes of poverty. The research questions posed in the study explore: (a) how are the poverty curricula assessed by participants; and (b) what can we learn about the ways in which poverty training materials are designed and/or delivered that might enhance their relevance and efficacy for community audiences? Employing a thematic analysis of qualitative interviews with participants, several themes emerged, including the importance of workshop facilitation that excludes the ideas surrounding Bridges (a theme dubbed ‘More of the same?); targeting poverty training to populations outside typical health and social service audiences (a theme entitled ‘Going beyond preaching to the choir’); themes related to ‘Observations on the evidence of poverty curricula’ and ‘Perceptions of poverty and debunking myths’; addressing the current ‘(Limited) motivation for action’ on poverty; and how to engage people to increase poverty awareness and advocacy (‘What’s missing’ in poverty training curricula). The discussion outlines key points, based on adult learning theory, for community providers to consider when offering poverty training for community audiences.
Demographic regional rankings by media activity on maternal (family) capital
Authors:   Lomonosov Moscow State University, Moscow, Russian Federation, Kalabikhina Irina , Kazbekova Zarina ,   Lomonosov Moscow State University, Moscow, Russian Federation, Klimenko German ,   Lomonosov Moscow State University, Moscow, Russian Federation, Kolotusha Anton ,   Lomonosov Moscow State University, Moscow, Russian Federation
Published: October 2022

Based on autoregressive models of distributed lags (ADL models), a sample of publications on maternity (family) capital, using an aggregator Public.ru and the developed list of normative legal acts on maternity capital, the authors assessed the intensity and dynamics of the media reaction to federal legislative initiatives regarding maternal capital, and built demographic rating of Russian regions on the publication activity of electronic media in response to the events of the federal legislative process in the field of maternity capital taking into account the different periodization of the actions of the maternity capital program.