bluuebunny/crossref_metadata_2025 huggingface dataset:
In vitro analysis of microbial contamination of paper points
Authors: Renata Ximenes Lins1  , Fanor Marques Junior  , João Marcelo da Silva Teixeira  , Georgiana Amaral  , Luciana Moura Sassone
Published: June 2022

During endodontic treatment, the maintennance of the aseptic chain is mandatory. Therefore, all substances, instruments, and medications inserted into root canals must be free of microorganisms. Objective: To evaluate in vitro and microbiologically the contamination of absorbent paper points. Material and methods:Absorbent paper points of different brands and under different conditions were evaluated and subdivided into the following groups: esterilized by the manufacturer (G1 to G5), not esterilized by the manufacturer (G6), esterilized in autoclave by the operator (G7), and intentionally contaminated (G8). The two last groups were the positive and negative controls, respectively. All paper points were unpacked and immersed into tubes with culture medium for 48 hours and then analyzed according to culture broth turbidity. Results: Only the samples esterilized by the manufacturers Dentsply® (G1), Endopoints®(G2), and Meta® (G3), and the samples esterilized in autoclave by the operator (G7) did not evidence microbial growth after 48 hours. G7) did not evidence microbial growth after 48 hours. ) did not evidence microbial growth after 48 hours. Although sterilized by the manufacturer, both the brands Tanari®(G4) and Roeko® (G5) showed bacterial contamination; Dentsply®(G6) non-sterile paper points also showed bacterial contamination. non-sterile paper points also showed bacterial contamination.Conclusion: Paper point esterilization before clinical use should be Paper point esterilization before clinical use should berecommended regardless of the commercial brand.
Evaluating of oral and salivary conditions of two specific groups of workers
Authors: Nicolae Carvalho de Paula  , Carolina Dea Bruzamolin  , Paulo H. Tomazinho  , Luciane Variani Pizzatto  , Wellington M. Zaitter  , Eduardo Pizzatto
Published: June 2022

Tooth decay is one of the most common chronic oral diseases found in industrial countries and is a multifactorial disease which has sugar as a key dietary factor. The amount of saliva concentration and presence of cariogenic bacteria will favor the development of caries. Because of this, the aim of this study was to collect and analyze data on oral alterations referred to tooth decay, oral pH changes, and changes of the oral microbiota in two distinct groups of workers. Material and methods: 30 individuals belonging to two different groups of workers: group A (GA) – workers who maintain daily contact with the confectionery; group B (GB) – workers who do not have such contact. Saliva collection was done by analysis of the salivary pH in both groups, as well as cultivation of Lactobacillus spp and S. mutans. We also evaluate the dental status of individuals belonging to the two groups through the DMFT index. Results: After the examinations of 30 workers (17 from the GA [9 men and 8 women] and 13 in the GB [7 men and 6 women]), the mean DMFT of the individuals in the group A and group B, was 7.41 (SD 5.14) 7.08 (SD 5.56), respectively, without statistically significant differences (p < 0.05). The count of S. mutans and Lactobacillus spp, was not statistically significant. Conclusion: There was no statistically significant relationship between presence of dental caries and the fact that workers are in contact with sugar because they work on candy food industry, but new studies are needed for more precise research.
Assessment of oral health status of children with special needs in Delhi, India
Authors: Abhishek Mehta  , Gurkiran Kaur  , SHahnaz Mansoori
Published: June 2022

Children with special needs are considered to be a high risk group for dental diseases especially dental caries and periodontal diseases. Objective: Assessment of oral health status of children with special needs in Delhi, India. Material and methods: A cross sectional survey was conducted on 414 children with special needs belonging to four different disability groups i.e. Intellectually Disabled (ID), Physically Challenged, visually and hearing impaired. WHO Oral Health Assessment Form for children, 2013 was used for assessment of various parameters of oral health among the study population. Results: Of the 414 children, 305 were males and 109 females. Overall caries prevalence was 38%. Mean DMF value was 3.71 with ID children having higher mean than the other groups.A significant positive correlation was also observed between age and dental caries. Gingival condition was also worse in ID children and best in physically challenged ones. Highest numbers of trauma cases were recorded in visually impaired group. Delayed eruption of permanent teeth was most common in hearing impaired. 98.7% children required some form of dental treatment. Conclusion: Oral health of children with special needs was poor and urgent attention is required to plan a comprehensive dental health care programme for them.
Design and Analysis of an Inverted XY-3RPS Hybrid Mechanism for Polishing of Complex Surface
Authors: Song Xiaozong , Wang Xiaorong , Wang Jidong , Fu Haitao
Published: June 2022

Aims:

An inverted XY-3-RPS hybrid mechanism was designed to apply ultraviolet-induced
nano-particle colloid jet machining to polish the complex surface.

Background:

The hybrid mechanism has been widely used in the ultra-precision polishing field for installing
different polishing tools on the moving platform to meet different machining requirements because
of its wide working space, good dynamic performance and large bearing capacity.

Objective:

The main objective of this study is to establish an inverted XY-3-RPS hybrid mechanism for
UV-induced nanoparticle colloid jet machining, to realize the ultra-precision polishing of complex surfaces
by UV-induced nanoparticle colloid jet machining.

Methods:

The three-dimensional model of the inverted XY-3-RPS hybrid mechanism was established,
and the kinematics and dynamics were analyzed. The Jacobian velocity matrix of the inverted XY-3-
RPS hybrid mechanism is derived by vector construction and differential methods, and the dexterity index
under different proportional parameters is optimized and simulated. The output Jacobian matrix and
stiffness matrix are obtained using the virtual work principle, and their static analysis is carried out.
Based on Lagrange dynamics theory, the dynamic mathematical model of the inverted XY-3-RPS hybrid
mechanism is established, and its kinematics is verified by software joint simulation. Through dynamic
simulation, the variation curves of motion, force and kinetic energy of the mechanism are obtained,
which provides a theoretical basis for applying the hybrid mechanism in complex curved surface
polishing.

Results:

The analysis shows that it has the best dexterity index when the ratio of moving and the fixed
platform is 2:1. The kinematic simulation results show that the hybrid mechanism moves reliably under
the given trajectory. The dynamic simulation results show that the force analysis of each kinematic pair
and the kinetic energy change curve of each part changes smoothly, and the dynamic performance is
stable under different trajectories.

Conclusion:

The parameter design and structural design of the inverted XY-3-RPS hybrid mechanism
meet the requirements of ultra-precision polishing of complex surfaces.
Assessment of the Anti-Malarial Properties of Dihydroartemisinin-
Piperaquine Phosphate Solid Lipid-Based Tablets
Authors: Amarachi Chime Salome , Attama Anthony Amaechi , Onunkwo Godswill Chukwunweike
Published: June 2022

Background:

Artemisininbased combination therapies (ACTs) typified by dihydroartemisinin-
piperaquine phosphate are first-line drugs used in the treatment of
Plasmodium falciparum malaria. However, the emergence of drug resistance to ACTs
shows the necessity to develop novel sustained release treatments in order to ensure maximum
bioavailability.

Objectives:

To formulate dihydroartemisinin (DHA)-piperaquine phosphate (PQ) sustained
release tablets based on solidified reverse micellar solutions (SRMS).

Methods:

The SRMS was prepared by fusion using varying ratios of Phospholipon® 90H
and Softisan® 154 and characterised. The tablets were prepared by using an in-house
made and validated mould. The formulations were tested for uniformity of weight, hardness,
friability, softening time, erosion time and in vitro-in vivo dissolution rate. Antimalarial
properties were studied using modified Peter’s 4-days suppressive test in mice.
One-way analysis of variance (ANOVA) was used in the analysis of results.

Results:

Smooth caplets, with average weight of 1300 ± 0.06 mg to 1312 ± 0.11 mg,
drug content of 61 mg for DHA and t 450 mg for PQ. Tablet hardness ranged from 7.1 to
9.0 Kgf and softening time of 29.50 ± 1.90 min. Erosion time of 62.00 ± 2.58 to 152.00 ±
1.89 min were obtained for tablets formulated with Poloxamer 188 (Batches R2, S2 and
T2) which significantly reduced the softening and erosion time (p < 0.05). In vitro release
showed that the optimized formulations had a maximum release at 12 h. Formulations
exhibited significantly higher parasitaemia clearance and in vivo absorption compared
to marketed formulations at day 7 (p < 0.05).

Conclusion:

DHA-PQ tablets based on SRMS were much easier and relatively cheaper
to produce than compressed tablets. They also showed exceptionally better treatment of
malaria owing to their sustained release properties and improved bioavailability and are
recommended to Pharmaceutical companies for further studies.
role of technology in innovating English teaching to improve learning outcomes in the digital world
Authors: Juliana Juliana
Published: June 2022

This study examines the job of innovation in further developing English learning results by utilizing an all-computerized application. We have gotten information from different writing and distribution sources, including books, scholarly works, and sites. Next, we try to study with a phenomenological approach, a mechanism to understand large amounts of data to obtain data that can answer research problems. The analysis includes data coding, data interpretation, and drawing conclusions based on the principles of validity and reliability of data findings. Based on the presentation and discussion of the data, we can conclude that applying technology with various software helps teachers and students improve English learning outcomes. Now technology makes it easier to learn in class online or face to face. This is supported by the fact that technology can innovate English language learning compared to teaching before the advent of educational technology. These results are expected to be beneficial for related parties, including teachers, curriculum designers, policymaking, and further research.
O PLENÁRIO VIRTUAL DO SUPREMO TRIBUNAL FEDERAL: EVOLUÇÃO DAS FORMAS DE JULGAMENTO E PERIODIZAÇÃO
Authors: Martins Rocha Pedrosa Maria Helena , Araújo Costa Alexandre
Published: June 2022

O trabalho descreve a evolução do Plenário Virtual (PV) do STF e propõe uma periodização para o estudo dos julgamentos eletrônicos assíncronos realizados pelo Tribunal. O PV foi instituído em 2007 para dar celeridade à apreciação da repercussão geral dos recursos extraordinários e, a partir da Emenda Regimental (ER) 51/2016, houve uma ampliação dos incidentes processuais passíveis de julgamento nas sessões virtuais. O trabalho analisa essas transformações, com ênfase no controle concentrado de constitucionalidade, e propõe uma categorização temporal que identifica uma Etapa Restrita dos julgamentos assíncronos, limitada à apreciação da repercussão geral, e uma Etapa Ampliativa, que abrange, inclusive, questões de controle concentrado. Esta Etapa Ampliativa é dividida em três períodos: Fase Recursal (até a publicação da ER 52/2019), Fase Intermediária (entre a ER 52/2019 e a ER 53/2020) e Fase Universal (posterior à ER 53/2020, que admitiu a submissão de quaisquer processos de competência do STF ao ambiente eletrônico). Tal periodização é importante não apenas para a compreensão da evolução histórica do instituto, mas principalmente porque a análise empírica dos dados sobre tais julgamentos precisa levar em consideração que os padrões de comportamento judicial tendem a ser diversos em cada um desses momentos.
SISTEMA PRISIONAL BRASILEIRO E COVID-19: UMA ANÁLISE SOB OS PRECEITOS DA ADPF 347
Authors: Souza Mirna Ludmila Castanha de , Rodrigues Ricardo Schneider
Published: June 2022

O presente estudo tem como objetivo avaliar se a declaração do estado de coisas inconstitucional pelo Supremo Tribunal Federal, por ocasião da ADPF 347/DF, contribuiu para a melhoria do sistema carcerário nacional, especialmente após o advento da pandemia. Pretende analisar a técnica do litígio estrutural aplicada pelos tribunais brasileiros como um meio capaz de alcançar uma intervenção legítima e eficaz para a solução de problemas públicos complexos. A partir da técnica de pesquisa da revisão bibliográfica e documental, foram extraídos os dados para a análise. Os resultados da pesquisa indicam que, apesar do acerto ao reconhecer o estado de coisas inconstitucional, as recomendações e medidas adotadas pela Suprema Corte não foram suficientes para resolver os problemas do sistema criminal, agravados durante a pandemia.
BENEFÍCIOS FISCAIS REGRESSIVOS: UM ESTUDO SOBRE POLÍTICAS PÚBLICAS DISTRIBUTIVAS À LUZ DE THEODORE J. LOWI
Authors: Di Stefano Filho Mario , Buffon Marciano
Published: June 2022

O presente estudo trata sobre políticas públicas distributivas, mais especificamente benefícios fiscais, que não podem, como toda política pública, ir de encontro aos objetivos definidos pela Constituição de 1988 em seu artigo terceiro, principalmente no tocante à erradicação da pobreza e a redução das desigualdades. Assim, para as políticas públicas ganharem legitimidade, devem operar de acordo com os valores constitucionalmente adotados para atuar em favor do Estado Democrático de Direito. Entretanto, existem algumas políticas distributivas que não são progressivas, mas regressivas, e, portanto, não combatem a desigualdade, mas atuam pela manutenção do abismo social já existente por meio da concentração de renda. Desse modo, políticas que previnem a tributação sobre o patrimônio e a renda da camada mais privilegiada da população não devem prosperar visto o enorme nível de desigualdade social presente no país. Nessa linha, o trabalho tem como objetivo promover uma análise crítica acerca da aplicação dos conceitos de progressividade e regressividade em políticas públicas tributárias classificadas como distributivas, segundo a tipologia de Theodore J. Lowi. Para exame do proposto, optou-se pelo método hipotético-dedutivo, com análise e interpretação de dados, nacionais e estrangeiros, juntamente com pesquisa bibliográfica de artigos qualificados sobre o assunto e instrumentos legislativos pertinentes. Conclui-se, por conseguinte, que no Brasil há políticas distributivas regressivas, concretizadas por benefícios fiscais à camada mais privilegiada da população, como por exemplo a isenção no IRPF dos dividendos.
CONTRIBUTO DA TEORIA DO DELITO PARA A IMPUTAÇÃO JURÍDICA NO DIREITO PÚBLICO SANCIONADOR
Authors: Dezan Sandro Lúcio , Pereira Eliomar da Silva
Published: June 2022

O presente artigo busca revisitar as teorias do delito que servem de fundamento para uma teoria garantista do direito público sancionador, a englobar, nomeadamente, o direito administrativo sancionador. Por meio do método dedutivo, concluir-se-á que, em um Estado Constitucional de Direito, os princípios de direito penal alocados na Constituição Federal são plenamente aplicados a todo e qualquer ramo punitivo do Estado, na medida em que não se concebem distinções ontológicas entre as diversas espécies de ilícitos epistemologicamente positivados pelo Estado.
PLANIFICACIÓN ECONÓMICA Y TUTELA JURISDICCIONAL
Authors: Toro Antonio José Vélez
Published: June 2022

La irrupción del ciclo económico desregularizador a partir de 1980 -recién aprobada la Constitución de 1978-, supuso la postergación de la planificación general en España.No obstante, y una vez que concluya el actual ciclo económico, puede ser hasta necesario volver los ojos sobre la planificación económica como institución jurídico-pública. Por ello, ante la posibilidad de la implementación planificadora, consideramos necesario estudiar su tutela jurisdiccional; es decir, los instrumentos de tutela jurisdiccional que ofrece nuestro marco constitucional, conscientes de que la planificación no solo constituye un proceso, sino también puede y debe ser susceptible de revisión jurisdiccional y constitucional, a fin de salvaguardar los derechos y libertades propios del Estado de Derecho.
Eleanor Mildred Sidgwick, Country House Science, and Personae for British Women in Science at the turn of the Twentieth Century
Authors: Opitz Donald L.
Published: June 2022

Higher education for women in the fields of science and mathematics significantly expanded in the United Kingdom at the end of the nineteenth century and into the twentieth century. A major force in that expansion was Eleanor Mildred Sidgwick (1845–1934), the mathematically talented head of Newnham College, Cambridge, and researcher in experimental physics at the University of Cambridge’s Cavendish Laboratory. In this article I examine Sidgwick’s role in advancing science education for women, focusing on her construction of a scientific persona for British women that drew upon her evangelical Anglican values of family and domesticity. I argue that Sidgwick’s work contributed to an enterprise of ‘country house science’ in which other members of her extended family were engaged, and that her case contributes to a reorientation of the historiography from a focus on recovery of women’s peripheral contributions to the positioning of the work of science education for women more centrally in our narratives about women in science.
FAMILIA THEACEAE
Authors:   Instituto de Ecología, A.C. Centro Regional del Bajío, Carranza González Eleazar
Published: June 2022

Familia con unos 20 géneros, que se distribuyen principalmente en regiones tropicales o subtropicales de ambos Hemisferios. Algunas especies tienen importancia económica, como Camellia sinensis (L.) Kuntze, originaria de China e India, de la cual se obtiene el té que se consume en muchos países; igual que Camellia japonica L. (“camelia”), de China y Japón, que por sus hermosas flores de aroma agradable es muy apreciada en la horticultura. Para la región de estudio se reconocen dos géneros.
FAMILIA THELYPTERIDACEAE
Authors:   División de Ciencias Biológicas y de la Salud Universidad Autónoma Metropolitana-Iztapalapa, Pérez-García Blanca , Riba Ramón ,   División de Ciencias Biológicas y de la Salud Universidad Autónoma Metropolitana-Iztapalapa, Smith Alan R. ,   University Herbarium University of California
Published: June 2022

Familia de aproximadamente 900 especies, de distribución cosmopolita. Sus géneros están diversamente circunscritos, para muchos autores existe uno solo: Thelypteris, otros consideran la división en unas 35 entidades. Aquí adoptamos una clasifiación conservadora, con dos géneros, Macrothelypteris, representado por una especie y Thelypteris englobando los demás representantes del área de estudio.
Physicians’ Perceptions of Telemedicine Use During the COVID-19 Pandemic in Riyadh, Saudi Arabia: Cross-sectional Study
Authors: Idriss Sarah , Aldhuhayyan Abdullah , Alanazi Ahmad Abdullah , Alasaadi Walaa , Alharbi Reem , Alshahwan Ghadah , Baitalmal Mohammad , Alonazi Wadi
Published: June 2022

Background

The term “telemedicine” refers to the use of communication technology to deliver health care remotely. The COVID-19 pandemic had substantial impacts on health care delivery from 2020 onward, and it was necessary to adapt high-quality care in a manner that limited the potential for viral exposure of both patients and health care workers. Physicians employed video, phone, and electronic written (e-consultation) visits, all of which provided quality of care comparable to that of face-to-face visits while reducing barriers of adopting telemedicine.

Objective

This study sought to assess physicians’ perspectives and attitudes regarding the use of telemedicine in Riyadh hospitals during the COVID-19 pandemic. The main objects of assessment were as follows: (1) physicians’ experience using telemedicine, (2) physicians’ willingness to use telemedicine in the future, (3) physicians’ perceptions of patient experiences, and (4) the influence of telemedicine on burnout.

Methods

This study employed SurveyMonkey to develop and distribute an anonymous 28-question cross-sectional survey among physicians across all specialty disciplines in Riyadh hospitals. A chi-square test was used to determine the level of association between variables, with significance set to P<.05.

Results

The survey was distributed among 500 physicians who experienced telemedicine between October 2021 and December 2021. A total of 362 doctors were included, of whom 28.7% (n=104) were consultants, 30.4% (n=110) were specialists, and 40.9% (n=148) were residents. Male doctors formed the majority 56.1% (n=203), and female doctors accounted for 43.9% (n=159). Overall, 34% (n=228) agreed or somewhat agreed that the “quality of care during telemedicine is comparable with that of face-to-face visits.” Approximately 70% (n=254) believed that telemedicine consultation is cost-effective. Regarding burnout, 4.1% (n=15), 7.5% (n=27), and 27.3% (n=99) of the doctors reported feeling burnout every day, a few times a week, and a few times per month, respectively.

Conclusions

The physicians had generally favorable attitudes toward telemedicine, believing that its quality of health care delivery is comparable to that of in-person care. However, further research is necessary to determine how physicians’ attitudes toward telemedicine have changed since the pandemic and how this virtual technology can be used to improve physicians’ professional and personal well-being.
Examining the Relationships Between Sleep Physiology and the Gut Microbiome in Preclinical and Translational Research: Protocol for a Scoping Review
Authors: Maki Katherine Anne , Alkhatib Jenna , Butera Gisela , Wallen Gwenyth Reid
Published: June 2022

Background

Sleep is an instrumental behavioral state with evidence supporting its active role in brain function, metabolism, immune function, and cardiovascular systems. Research supports that there are pathways underlying the bidirectional communication between the brain and gastrointestinal system, also known as the “gut-brain axis.” Primary research examining sleep and gut microbiome relationships continues to increase. Although current data include both preclinical and clinical research, gut microbiome results are reported through a wide range of metrics (alpha diversity, beta diversity, and bacterial compositional changes), which makes cross-study comparison challenging. Therefore, a synthesis of the research examining sleep and gut microbiome relationships is necessary to understand the state of the science and address gaps in the literature for future research.

Objective

In this paper, we outline a scoping review protocol to evaluate and synthesize preclinical and clinical primary research focused on the associations between sleep and the gut microbiome.

Methods

The search strategy was facilitated through a medical research librarian and involved electronic databases including PubMed/MEDLINE, Embase, Scopus, Web of Science, CENTRAL trials database, BIOSIS Citation Index, and the Zoological Record. Gray literature sources including medRxiv and bioRxiv preprint servers were also searched. Studies were screened according to the aims and exclusion and inclusion criteria of the protocol. After screening, data will be extracted and synthesized from the included studies according to predefined sleep and microbiome methodology metrics.

Results

The search strategy yielded 4622 references that were imported for study screening, and source screening was completed in May 2022 by 2 independent investigators, resulting in a total of 93 sources for data extraction and synthesis. The data synthesis table is expected to be completed by August 2022, and the results will be disseminated through paper submission by December 2022 and presented at conferences related to neuroscience, sleep physiology, bioinformatics, and the microbiome.

Conclusions

A scoping review of preclinical and clinical research is needed to synthesize the growing data focused on the relationships between sleep and the gut microbiome. We expect the results of this synthesis will identify gaps in the literature and highlight pathways linking the gut-brain axis and sleep physiology to stimulate future research questions.

Trial Registration

Open Science Framework 69TBR; https://osf.io/69tbr

International Registered Report Identifier (IRRID)

PRR1-10.2196/38605
Medication-Wide Association Study Using Electronic Health Record Data of Prescription Medication Exposure and Multifetal Pregnancies: Retrospective Study (Preprint)
Authors: Davidson Lena , Canelón Silvia P , Boland Mary Regina
Published: June 2022

BACKGROUND

Medication-wide association studies (MWAS) have been applied to assess the risk of individual prescription use and a wide range of health outcomes, including cancer, acute myocardial infarction, acute liver failure, acute renal failure, and upper gastrointestinal ulcers. Current literature on the use of preconception and periconception medication and its association with the risk of multiple gestation pregnancies (eg, monozygotic and dizygotic) is largely based on assisted reproductive technology (ART) cohorts. However, among non-ART pregnancies, it is unknown whether other medications increase the risk of multifetal pregnancies.

OBJECTIVE

This study aimed to investigate the risk of multiple gestational births (eg, twins and triplets) following preconception and periconception exposure to prescription medications in patients who delivered at Penn Medicine.

METHODS

We used electronic health record data between 2010 and 2017 on patients who delivered babies at Penn Medicine, a health care system in the Greater Philadelphia area. We explored 3 logistic regression models: model 1 (no adjustment); model 2 (adjustment for maternal age); and model 3—our final logistic regression model (adjustment for maternal age, ART use, and infertility diagnosis). In all models, multiple births (MBs) were our outcome of interest (binary outcome), and each medication was assessed separately as a binary variable. To assess our MWAS model performance, we defined ART medications as our gold standard, given that these medications are known to increase the risk of MB.

RESULTS

Of the 63,334 distinct deliveries in our cohort, only 1877 pregnancies (2.96%) were prescribed any medication during the preconception and first trimester period. Of the 123 medications prescribed, we found 26 (21.1%) medications associated with MB (using nominal P values) and 10 (8.1%) medications associated with MB (using Bonferroni adjustment) in fully adjusted model 3. We found that our model 3 algorithm had an accuracy of 85% (using nominal P values) and 89% (using Bonferroni-adjusted P values).

CONCLUSIONS

Our work demonstrates the opportunities in applying the MWAS approach with electronic health record data to explore associations between preconception and periconception medication exposure and the risk of MB while identifying novel candidate medications for further study. Overall, we found 3 novel medications linked with MB that could be explored in further work; this demonstrates the potential of our method to be used for hypothesis generation.

CLINICALTRIAL
Association between co-morbidities and prescribed drugs in obstructive sleep apnea suspected patients: an inductive rule learning approach (Preprint)
Authors: Ferreira-Santos Daniela , Pereira Rodrigues Pedro
Published: June 2022

BACKGROUND

One way to partially impute missing clinical variables is to find associations with other informative variables described in electronic health records, as obstructive sleep apnea (OSA) has multiple clinical presentations.

OBJECTIVE

To explore disease-drug associations in obstructive sleep apnea (OSA) suspected patients to improve missed diagnoses and clinical data completeness in electronic health records.

METHODS

We conducted a retrospective study from a cohort of adult patients referred to the Sleep Laboratory of the University Hospital Center of São João who performed in-laboratory polysomnography. Inclusion criteria were age above eighteen years old, with a suspicion of OSA and having undergone polysomnography between January 2011 and December 2019.

RESULTS

A total of 481 patients taking any drug were included, resulting in 29 disease-drug strong association rules. The prescribed drugs were related to the alimentary tract and metabolism (A), cardiovascular (C), and nervous system (N). Three strong rules were obtained, describing the relationships between A10 (drugs used in diabetes) and diabetes (Lift: 2.05, Confidence: 91%), C10 (lipid modifying agents) and dyslipidemia (L: 1.28; C: 87%), and C09 (agents acting on the renin-angiotensin system) and arterial hypertension (L: 1.24; C: 95%).

CONCLUSIONS

We found three strong disease-drug associations rules in OSA suspected patients that can help to improve missed diagnosis in 4%, 2%, and 1% in diabetes, arterial hypertension, and dyslipidemia, respectively, based on three 2nd level ATC-codes (A10, C09, and C10).
MOLECULAR DOCKING AND ADMET STUDIES OF ETHANONE, 1-(2-HYDROXY-5-METHYL PHENYL) FOR ANTI-MICROBIAL PROPERTIES
Authors: SRI SATYA MEDICHARLA , B. V. SUMA , AISWARIYA
Published: June 2022

Objective: Ethanone 1-(2-hydroxy-5-methyl phenyl) found in the aerial parts of Rhizophora mucronate, Epiphyllum oxypetalum haw and dried ripened seed extracts of coffee. It has reported anti-microbial properties based on the literature. The objective of the present study is to find the binding efficacy of the compound with proteins in staphylococcus aureus and to report the ADMET properties of the compound.
Methods: Rigid docking technique was used for finding the affinities.3D structures of the six proteins of staphylococcus aureus are selected from the protein database. Molecule Ethanone 1-(2-hydroxy-5-methyl phenyl) is obtained from PubChem. ADMET studies of the compound are assessed by SWISS-ADME. Molecular docking studies are carried out by using PyRx software.
Results: Ethanone 1-(2-hydroxy-5-methyl phenyl) on molecular docking with Staphylococcus aureus sortase-A (PDB ID: 1T2P), Clumping factor A (ClfA) (PDB ID: 1N67), DNA gyrase (PDB ID: 3U2D), Dihydrofolate reductase (DHFR) (PDB ID: 2W9S), Undecaprenyl diphosphate synthase (UPPS) (PDB ID: 4H8E), Dehydrosqualene synthase (CrtM) (PDB ID: 2ZCO), their binding affinities were found to be-6.2,-6.3,-5.9,-6.4,-5.3,-6.8 respectively. Out of six proteins, Dehydrosqualene synthase (CrtM) (PDB ID: 2ZCO) and Dihydrofolate reductase (DHFR) (PDB ID: 2W9S) has shown better binding affinities.
Conclusion: ADMET studies show that Ethanone 1-(2-hydroxy-5-methyl phenyl) has zero violation to Lipinski’s rule and molecular docking with two proteins has shown good binding efficacy with Ethanone 1-(2-hydroxy-5-methylphenyl).
Borrador final de la Carta Internacional sobre el Turismo Cultural Patrimonial (2021) del ICTC-ICOMOS
Authors: (ICTC-ICOMOS) ICOMOS
Published: June 2022

Debido al crecimiento, a la alteración e interrupción del turismo global, fue necesario revisar la Carta Internacional de Turismo Cultural de ICOMOS de 1999, lo cual originó la Carta Internacional de ICOMOS sobre el Turismo Cultural Patrimonial (2021) que tiene como objetivo reforzar la protección del patrimonio cultural y la resiliencia de las comunidades mediante una gestión responsable y sostenible del turismo. Esto como resultado de la preocupación por la degradación del patrimonio cultural y por las cuestiones sociales, éticas, culturales, ambientales y derechos económicos asociados al turismo.

La Carta Internacional propone que se contribuya a la preservación del patrimonio cultural, al empoderamiento de las comunidades, a la resiliencia y bienestar social y a un medio ambiente global saludable. Además, establece que el turismo responsable debe impulsar y crear concientización sobre el patrimonio cultural, así como aportar bienestar y resiliencia personal y colectiva que promueva el respeto a la diversidad de otras culturas.
Turismo y Pandemia COVID, 2022: Retos para el Desarrollo.
Authors: Graciela Aurora Mota Botello Entrevista a Fernando Villalba Flores por
Published: June 2022

Entrevista a Fernando Villalba Torres por Graciela Mota y equipo MEC-EDUPAZ.

Fernando Villalba Torres, Director de la Organización Española de Turismo y Consejero de la Embajada de España en México, comparte valiosas opiniones en torno a su experiencia como Consejero de Turismo durante la pandemia por COVID-19.

Entre los principales retos que ha representado el SARS-CoV-2, se encuentran el freno a la libre circulación de las personas, y la comunicación presencial entre las mismas, ambos factores fundamentales dentro del sector turístico. Con aras de retomar la cotidianidad resquebrajada en marzo de 2020; Don Fernando Villalba enfatiza la importancia de mirar hacia un turismo sostenible, como vía de respuesta a los malestares producidos por las industrias de masas y las pretensiones de una modernidad voraz, que violenta la interacción entre cultura-natura.

Dentro de las enseñanzas post-COVID rescatadas por Don Fernando Villalba Torres se encuentran la urgencia de retomar las experiencias del turismo, especialmente a través de los intercambios socioculturales y estudiantiles que dan forma a un turismo cultural e histórico, así como las inmensas oportunidades del turismo sostenible como fuente de insumos para el país.
Ciudades Capitales en América Latina: capitalidad y autonomía
Authors: Carrión Fernando , Cepeda Paulina
Published: June 2022

La lectura resume la historia, la política y los motivos del por que las ciudades analizadas en este libro son consideradas capitales, el análisis no solo nos podrá dar una perspectiva un poco más amplia del cómo se logra llegar a ser una capital, sino que nos mostrará, parte de sus problemáticas y como algunas ciudades aún luchan por superarlas.

Sabemos que una ciudad no logra este estatus de una manera sencilla, que conlleva una serie de procesos y de análisis económicos, sociales y muchos más factores, que intervienen para que las estructura interna de su desarrollo fluya de una manera eficiente y así pueda desarrollarse con un sistema fuerte y totalmente funcional, el cual será diferente en cada uno de los casos aquí presentados, ya que cada una de ellas cuenta con necesidades totalmente diferentes.
Dentro y Fuera del Ruedo
Authors: Chapa Benavides Martha , Ordorica Saavedra Alejandro , Iturriaga de la Fuente José N.
Published: June 2022

Martha Chapa Benavides, Alejandro Ordorica Saavedra y José Iturriaga de la Fuente

“Dentro y Fuera del Ruedo” es un libro basado en las perspectivas artísticas de la tauromaquia, a través de la percepción de una serie de espectadores totalmente externos a nuestras tradiciones y a nuestra cultura, naturalmente conocemos nuestro entorno y todo lo que conlleva ser mexicano, pero a partir de distintos puntos de vista y a través de los años las opiniones de esta antigua tradición han ido cambiando.

Este título nos permitirá ver no solo una perspectiva diferente a la nuestra por parte de aquellos que se han dedicado a el análisis de este suceso, creará también una proyección de nuestras ideas más allá de la perspectiva general que se nos ha hecho ver, creo que será un libro bastante interesante si quieres abrir tus horizontes respecto a esta fiesta y conocer un poco del pensamiento extranjero sobre nuestro país y como es representado artísticamente de muchas formas.
Phishing URL Detection using Machine Learning
Authors: Patel Rutul , Kshetry Sanjay , Berad Sanket , Zirthantlunga Justin
Published: June 2022

Abstract: As we have moved the majority of our monetary, business related, and other day by day exercises to the web, we are presented to more serious dangers as cybercrimes. URL-based phishing assaults are quite possibly the most widely recognized dangers to web client. In this kind of assault, the aggressor takes advantage of the human weakness rather than programming defects. It targets the two people and associations, instigates them to tap on URLs that look secure, and take private data or infuse malware on our framework. Diverse AI calculations are being utilized for the identification of phishing URLs, that is, to group a URL as phishing or real. Analysts are continually attempting to work on the presentation of existing models and increment their exactness. In this work, we expect to audit different AI strategies utilized for this reason, alongside datasets and URL highlights used to prepare the AI models. The presentation of various AI calculations and the strategies used to build their exactness measures are talked about and investigated. The objective is to make an overview asset for scientists to become familiar with the current advancements in the field and add to making phishing discovery models that yield more precise outcomes. Keywords: Phishing, Phishing websites, Machine Learning, anti-phishing, phishing attack, security and privacy, phishing approaches
To Study the Influence of Social-Media on Consumer Buying Behavior
Authors: Chauhan Shubham , Chaturvedi Shreshtha , Chauhan Shubham , Hussain Dr. Fatima Quasim
Published: June 2022

Abstract: The purpose of this research is to empirically explore the role of social media in the consumer decision-making process. Quantitative research looks at how using social media can change your experience. Today, outsiders in developed regions are overwhelmed by customer feedback on products and government, and as a result, influence conclusions in unrelated areas. Web-based social networks attract shoppers because advertisers have no control over the content, timing, or repetition of online discussions between shoppers. The results show that the use of social media influences consumer satisfaction during the information retrieval and alternative evaluation stages, and satisfaction increases as consumers follow the final purchase decision and post-purchase evaluation process. Indicates that it will be done.
Finite Element Analysis of Butterfly Valve
Authors: Deshkar Sudatta Walmik , Sayankar Mr. H. N. , Gorantiwar Dr. Vinod S.
Published: June 2022

The main objective of this project is shape optimization and structural stability of the butterfly valve for metallic and non-metallic materials butterfly valve is mostly used in the engine carburettors need to make structural stability and shape optimization plays the main role for this component, design modifications and material comparative analysis done in ANSYS Structural modules and find the optimized shape through stress, strain and deformation results. Valves for hydro power projects are installed for safety, maintenance, and shut-off, as well as for flow and pressure regulation. A Butterfly valve is a type of flow control device, which is widely used to regulate a fluid flowing through a section of pipe. This type of valve is mainly used as safety valve, turbine inlet valve, and pump valve for low to medium design pressures. They are operated by oil hydraulic systems for opening and closing or by closing weight and hydraulic pressure for opening. For turbine inlet valves, oil pressure can also be taken from the governor hydraulic oil system. The sealing system is of flexible, adjustable rubber/metal type to reduce leakage to a minimum. Water flow through the valve is possible in both directions. The main objective of this thesis work is to analyses the option of fabricated variant for door & body in place of casted, reduction in the material of valve body & door by structural design & FEM analysis & optimization in the material of valve component. The 3D modelling to be performs for butterfly valve by using CAD software. Further the stress & displacement FEM analysis of the butterfly valve to be performed by using ANSYS tool to evaluate the optimized result.
Failure Recovery in a Smart Antenna System for Remote Applications
Authors: Fawad Iffath , Kumaraswamy H V
Published: June 2022

This paper focusses on recovering the degraded pattern in the event of failure of elements in a Smart Antenna System. A well-known optimisation algorithm namely: Levy Harmony Search (LHS) Algorithm is employed to optimise the excitations of the remaining ‘healthy’ elements to recover from the degradation caused due to the element failures. A 1×10 Microstrip Patch Antenna Array, working in the 5G frequency band 3.3-3.7 GHz, is designed to closely observe the effects of element failures, followed by the recovery of the pattern by modifying certain parameters. Algorithm considered is simulated using MATLAB and the results of the simulation are validated using HFSS.
Collaborative Filtering-Based Recommendation of Online Social Voting
Authors: Chobey Vandana , Ghadge Ashwini , Landekar Arati , Ther Trishala , Raut Bhushan , Balbudhe Payal
Published: June 2022

Abstract: Social vote casting is an rising new characteristic in on line social networks. It poses particular demanding situations and possibilities for advice. In this paper, we increase a fixed of matrix factorization (MF) and nearest-neighbor(NN)-primarily based totally recommendersystems (RSs) that discover consumer social community and institution association facts for social vote casting advice. Through experiments with actual social vote casting lines, we reveal that social community and institution association facts can appreciably enhance the accuracy of popularity-primarily based totally vote casting advice, and social community facts dominates institution association facts in NN- primarily based totally methods. We additionally take a look at that social and institution facts is a good deal greater precious to bloodless customers than to heavy customers. In our experiments, easy metapath primarily based totally NN fashions outperform computation-extensive MF fashions in warm-vote casting advice, even as customers’ pastimes for non-warm votings may be higher mined via way of means of MF fashions. We similarly endorse a hybrid RS, bagging one-of-a-kind unmarried methods to acquire the excellent top-ok hit rate. Keywords: Social vote casting, Social Network, matrix factorization (MF), accuracy, NN fashions etc.
Dam Break Analysis of Mullaperiyar Dam using HEC-RAS
Authors: Khan Rehan , Debe Milind , Sonpipale Supriya , Pawar Karan , Kapoor Dr. Ankur
Published: June 2022

Abstract: Mullaperiyar dam, with an active capacity of 2,99,13,00,000 m3 is constructed on the Periyar River in Kerala. It is a controversial issue between two states Kerala and Tamil Nadu. Even though the dam is situated in Kerala but the benefits of the dam is being enjoyed by Tamil Nadu. The age of the dam is 119 years which is more than its design period i.e. 50 years. As it is an old dam, there is a threat for a dam to fail, Hence the dam is taken for the present study. This paper presents a case study of Dam Break Analysis of Mullaperiyar Dam using HEC-RAS software which involves the prediction of a dam break, River reach, Discharge, unsteady flow equation, etc. Keywords: Mullaperiyar Dam, Dam Break Analysis, HEC-RAS, Periyar River. Etc
Credit Card Fraud Detection
Authors: Gurav Prof. R .B. , Badhe Shraavani Mandar , Sonawane Sarthak Pandit , Agarwal Siddhant , Nagtilak Sakshi
Published: June 2022

Abstract: Now a day’s online transactions have become an important and necessary part of our lives. It is vital that credit card companies are able to identify fraudulent credit card transactions so that customers are not charged for items that they did not purchase. As frequency of transactions is increasing, number of fraudulent transactions are also increasing rapidly. Such problems can be tackled with Machine Learning with its algorithms. This project intends to illustrate the modelling of a data set using machine learning with Credit Card Fraud Detection. The Credit Card Fraud Detection Problem includes modelling past credit card transactions with the data of the ones that turned out to be fraud. This model is then used to recognize whether a new transaction is fraudulent or not. Our objective here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications. Credit Card Fraud Detection is a typical sample of classification. In this process, we have focused on analyzing and preprocessing data sets as well as the deployment of multiple anomaly detection algorithms such as Local Outlier Factor and Isolation Forest algorithm on the PCA transformed Credit Card Transaction data. Keywords: Credit Card, Python, Detection
Review on Analysis of Multi-Storey Framed Structure Using ETABS in various zones considering Soil Structure Interaction
Authors: Jain Ayush , Sepate Prof. Vishal
Published: June 2022

Abstract: The objective of the paper is to present a review on analysis of Multi – Storey Framed Structure and to create a comparative study in effect of Soil Structure Interaction (SSI) for various zones. The RCC Framed Structure is subjected to various loading and the structure is then analysed using ETAB2016. Keywords: Soil Structure Interaction, Time History Analysis, Response Spectrum Analysis, Dynamic Analysis
Real Time Sign Language Detection
Authors: Yadav Subhashini , Raj Shreyashi , Awasthi Kashish , Bidwan Rohit , Jain Lokesh
Published: June 2022

Abstract: Communication is the method of sharing or exchanging information, ideas or feelings. To have a communication between two people, both of them need to have knowledge and understanding of a common language. But in the case of deaf and dumb people, the means they use for communicating is different from that of normal people. Deaf is not able to hear and dumb is not able to speak. They communicate using sign language among themselves and with normal people but normal people don’t take seriously the importance of sign languages. Not every-one has the knowledge and understanding of sign language which make the communication difficult between a normal person and a deaf and dumb person. For overcoming this barrier,a model can be build based on machine learning. A model can be trained to recognize different gestures of sign language and translate them into English language. This will help a lot of people in communicating with deaf and dumb people with ease. A real time ML based system is built for the real time sign language detection with TensorFlow object detection in this paper. The major purpose of this project is to build a system for the differently abled people to communicate with others easily and efficiently. Keywords: Object detection, sign language, Deep learning, SSD(Single-shot Detector), TensorFlow
Voice Based Lift Control
Authors: Salim Malim Huzaifa , Jaitapkar Sami , Ziyaan Faki , Ibrahim Kazi
Published: June 2022

Abstract: The idea of this project is to develop an elevator system that accepts the destination input via external microphone, and taking the elevator to the destination accordingly. The paper the analysis of the lift model controlled by voice and sensor control panel, The model is constructed by using average powered controller, it has voice recognition, programmable terminal and logical lift program, which mnnect them all. The model can be easily reprogrammed in to have various working regimes and thus is suitable for training students with the broad automation specialization. This system will enable the residential and commercial places to minimize the cost spent of lifts men. The modification of the welt •known DTW (Dynamic Time 'Warping) algorithm was used This device is very helpfulfor paralysis, short height gmple and physically challenged persons.