bluuebunny/crossref_metadata_2025 huggingface dataset:
Impact of Montelukast on Allergic Rhinitis and Asthma as Emerging New Treatment Option
Authors: Bux Muhammad Ali Lal , Laique Talha
Published: March 2024

Background: AR (allergic rhinitis) is a condition that causes chronic nasal mucosal inflammation. Among the regional signs of AR are sneezing, rhinorrhea, nasal discomfort, and nasal congestion. AR places a considerable financial and social impact on both the person with AR and society. There is mounting evidence that AR may elevate inflammatory mediators throughout the body and raise the chance of developing asthma. Aim: To determine the degree to which Montelukast altered the symptoms and signs of allergic rhinitis (AR) and asthma, as well as to estimate the proportion of participants who were adversely affected. The absolute eosinophil count and five essential asthma and allergic rhinitis symptoms were assessed before and after therapy. Method: This was a randomized trial. This experiment at the Lahore General Hospital involved 204 participants with asthma and allergic rhinitis. Participants received either (budesonide) BD (256 mg) with (montelukast) MNT (10mg) + MNT for two weeks, or BD alone (256 mg). The data was entered and analysed in SPSS 23. Results:However, when compared to BD alone, BD + MNT demonstrated noticeably greater improvements in nasal blockage and itching. Both treatments greatly lessened the five primary symptoms as compared to the baseline. After two weeks of treatment, absolute eosinophil counts in BD + MNT significantly surpassed BD. Practical Implication: Asthma and allergic rhinitis are major problems nowadays. This investigation will help find better answers to this problem. BD+ MNT is a more successful treatment for this illness. Conclusion:BD + MNT therapy may be more efficient overall than BD monotherapy for those with asthma and allergic rhinitis, especially in lowering nasal obstruction, itching, and subclinical lower airway inflammation. The absolute eosinophil count can also be used to monitor a patient's response to treatment for allergic rhinitis. Keywords: Asthama, budesonide, montelukast, and allergic rhinitis. Key words: Montelukast, allergic rhinitis, Asthma, Emerging New Treatment Option
Disease-Related Stigma, Emotional Regulation and Depression in Patients with HIV
Authors: Bibi Fozia , Majeed Saima , Nikhet Sadia , Makhdoom Bisma Jamil , Mustafa Ali Burhan
Published: March 2024

Background: HIV/AIDS has become one of the major global health burdens. Self-stigma and emotion dysregulation in people living with HIV (PLWH) have become urgent issues and have attracted the attention of both physicians and epidemiologists. Aim: To examine the relationship between disease-related stigma, emotional regulation, and depression in patients with HIV. Method: A cross-sectional study was conducted. A purposive sample of 100 patients—70 male and 30 female diagnosed with HIV/AIDS was collected from two public hospitals in southern Punjab. Patients who had been diagnosed as being HIV positive for at least three months were included in the study. The age range of participants was 18 to 50 years. Patients with other medical issues were excluded from the study. Measures for data collection were the Discrimination and Stigma Scale (DISC), Difficulties in Emotional Regulation Scale (DERS), and Hamilton Depression Scale. The data was evaluated using SPSS version 24. Pearson’s correlation was applied. Results: There is an inverse relationship (-.34**) obtained between disease-related stigma and emotional regulation, whereas a significant positive relationship (r =.41**) is found between disease-related stigma and depression. A negative relationship (r=-.59**) is also examined between emotional regulation and depression. Emotional regulation is a mediator between disease-related stigma and depression in patients with HIV. There is a significant gender difference in depression. The mean score of depression is high among females as compared to males. Practical Implication: It improved the psychological health of HIV-positive patients by categorizing the issues they face. Conclusion: It was concluded that disease-related stigma is positively related to depression while emotional regulation is inversely related to depression. Emotional regulation also plays a mediating role between self-stigma and depression in patients with HIV positive. Women scored higher on depression as compared to men. Keywords: HIV Patients, Psychological Impact, Psychological Distress and Social Stigma.
Outcome of Olecranon Fracture Treated with Tension Band Wiring Versus Anatomical Locking Plate Fixation
Authors: Inam Muhammad , Rehan Wajid , Shafi Muhammad Kamran , Alam Muhammad Afaque , Abidi Syed Abdur Rub , Ali Usman , Raza Tauseef , . Abdulakbar
Published: March 2024

Aim: Up to 10% of all upper limb fractures involve the olecranon, and this type of fracture is the most common osseous injury of the elbow joint. These show a bimodal distribution occurring in younger patients due to high-energy trauma and in elderly cohorts with low bone quality after low-energy falls. Objective: To compare functional outcome of tension band wiring versus anatomical locking plate fixation for reduction of olecranon fracture Materials and Methods: This randomized controlled trial study was conducted in the Department of Orthopedic, Lady Reading Hospital, Medical Teaching Institute Peshawar from December 2022 to June 2023. Non-probability consecutive sampling technique was used in this study. Sample size was calculated using WHO calculator keeping 95% confidence interval 80 % power of study, 10% absolute precision, mean Mayo elbow score was 84.0±9.3 in the TBW group and 88.3±9.1 in the locking plate fixation group (4). Expected sample size is 32 patients in each group, total 72 patients. Patients of both genders have age range from 20 to 70 year with Mayo type 2A olecranon fractures, more than 2 mm of joint displacement determined on X-ray elbow, and elbow extension loss determined on physical examination presented within 7 days of the injury were included in the study while Patients with open fracture and revision surgery were excluded from the study. Results: In this study age distribution among 72 patients was analyzed as n= 20-30 Years 17(27.4%) 31-40 Years 14(22.6%) 41-50.Years 11(17.7%) 51-70 Years 20(32.3%). Mean age was 47.1 Years with SD ± 2.87. Gender wise Distribution among 72 Patients was analyzed as Male were 31(50.0%) and female were 31(50.0%). Distribution of duration of disease among 72 patients were analysed as n= 1-2 weeks were 47(75.8%) and 3-4 weeks were 15(24.2%) Practical Implication: There are no established guidelines for the treatment of olecranon fracture in our institution. Most olecranon fractures are treated according to surgeon preferences and surgical experience of the surgeon. Previous studies showed variables results with no consensus. We will provide rationale basis for universal use of standard treatment of olecranon fracture. Conclusion: Although there were no statistically significant differences in clinical outcomes between the two groups, the ALP group had a higher proportion of any complication than the RP group. Keywords: Anatomical locking plate; complications; eyelet wire; olecranon fracture; tension band wiring.
Role of Multiple Serial Casting beyond Standard Casting Technique in Managing Club Feet
Authors: Tunio Muhammad Zaib , Aleem Muhammad Arshad , Hussain Tanweer , Abideen Zain-ul- , Akhtar Muhammad Saleem , Gul Naveed
Published: March 2024

Aim: To find the role of multiple serial casting beyond standard casting technique in managing club feet. Methodology: Cohort prospective study. Department of Orthopaedic, Chandka Medical College Hospital Larkana from July 1, 2021 to June 30, 2022. One hundred cases were enrolled. The Pirani scoring system was applied for detailed monitoring of the severity and treatment of clubfoot, and the Ponseti method technique was performed. Foot or feet were cast and fastened in an abduction brace at 95% of the correction rate being achieved. All children below two years of age who had one or both feet clubbed were included in this study. Results: The majority of the children visiting the hospital setting for treatment of clubfoot were within the age group of 0–5 months, followed by 6–12 months in 55% and 31% of the children, respectively. About 70% of the children with club feet were boys, with only 30% being girls. The baseline Pirani score was 3.47±0.523, while it decreased significantly to 0.0321±0.135 as the final Pirani score. The outcomes of the study showed that 68% of the children had excellent treatment, 10% had really good treatment, and 18% had fair treatment. Conclusion: Serial casting is a favourable technique for the treatment of clubfoot, wherein it assists in the maintenance of foot balance and proper development. Keywords: Multiple serial casting, Standard casting, Club feet
Role of Forensic Osteolgy in positive identification for Forensic investigations to solve medicolgal cases in Punjab, Pakistan
Authors: Khan Khadeeja , Aslam Muhammad Faisal , Ali Nadir , Ghafoor Javeria , Immran Muhammad
Published: March 2024

Background: Positive identification of human skeletal remains is prime importance to solve the medicolegal cases in unidentified dead bodies. In case of mass disasters, genocide, mass graves, manslaughter and other medicolegal cases, the skeletal data provides enough information to solve the question of identification of the deceased human beings to provide justice even many years after their death. Aim: To see evidentiary value of skeletal data to determine the positive identification by using race ,age sex, stature and other parameters of identification in medicolagal cases of human skeletal remains in medicolegal forensic investigations in Punjab from 2015 to 2022. Study design: In this retrospective study 100 medico-legal cases where positive identification was done from skeletal remains in different medico-legal work performing Forensic departments of Punjab, were analyzed. Methods: In this retrospective study 100 medico-legal cases where positive identification was done from skeletal remains. This skeletal data was collected from different medico-legal cases where the identification was done on bones from five district of Punjab. This data was collected from the District Head Quarter hospitals of these cities from their medico-legal offices to conduct this research study. All the information collected were interred in predesigned Performa before analyzing the data. Descriptive statistics was implied on all the medico-legal cases for data collections and analysis of skeletal data from different bones recovered from the crime-scenes in this research study. Furthermore, standard deviation, F-statistics, and Chi test p-value were also applied to see the association of these parameters of identification with different skeletal remains with highest probability of positive identification from different bones.
To Determine the Frequency and Risk Factors for Significant Postoperative Bleeding in Children with Congenital Heart Diseases Undergoing Open Heart Surgery in a Tertiary Care Center
Authors: . Mohsina , Khokar Rajab Ali , Kumari Veena , Rehman Mujeeb Ur , Ahsan Aliya Kemal , Zakai Saad Bader
Published: March 2024

Aim: To determine the frequency and risk factors for significant postoperative bleeding in children with congenital heart diseases undergoing open cardiac surgery in our tertiary care hospital. Methods: A prospective observational study was carried out in the department of Paediatric cardiac intensive care Unit at National Institute of Cardiovascular diseases Karachi between [dates here].Children aged 0-18 years underwent open heart surgery for congenital heart defects. Those patients who had previous palliative surgeries for congenital heart defects were included in the study.The duration of bleeding, recurrence, and treatment given (tranexamic acid bolus/infusion, platelets, FFPs, Packed RBC/WB, Factor 7 concentrates) were also documented. The outcome of bleeding was recorded as either stopped or persistent. If bleeding persisted, any other intervention needed was also noted.
Comparison of Effect of Human Milk Fortification with Preterm Formula Powder Vs Human Milk Fortification with Human Milk Fortifier on the Growth of Very Low Birth Weight Newborns
Authors: Saleem Sidra , Arshad Sana , Razzaq Athar , Hayat Kamran , . Wasif , . Hassan
Published: March 2024

Aim: The primary aim of this scientific inquiry was to comprehensively assess how the nourishment of Very Low Birth Weight (VLBW) newborns could be improved by supplementing their diet with either human milk fortifier or preterm formula powder. Methods: A randomized controlled trial was carried out at RTEH Muzaffargarh NICU, which involved the participation of 72 preterm infants weighing between 1.2 kg and 1.6 kg at birth. The infants were randomly allocated into two groups: one received human milk fortified with preterm formula powder. In contrast, the other group received human milk fortified with a human milk fortifier. Throughout the study, weight, length, and head circumference measurements were taken for all participants. Results: There were no significant differences in gestational ages between HMF and preterm formula groups (p=0.057), nor in gender distribution (p=0.369 for males). Post-intervention, Group A experienced significant increases in birth weight (p=0.0021) and head circumference (p=0.004), but not in length. In the control group, changes in weight, head circumference, and length did not reach statistical significance. Conclusion: Human milk fortification with preterm formula powder appears to promote similar or even better growth outcomes in VLBW infants when compared to traditional fortification with human milk fortifier. However, more research is needed to confirm these findings and assess any potential long-term impacts. Keywords: Human Milk Fortification, Preterm Formula Powder, Very Low Birth Weight Infants, Growth Outcomes, Randomized Controlled Trial.
Assessment of Psychopathic Traits: A Case Study
Authors: Shah Muttahid , Tabassum Sadaf , Nouman Sana , Ashraf Rabbia
Published: March 2024

Purpose: Present study aim to psychologically accessed a case study of a suspected psychopathic individual Method: Single n subject design was used to investigate a 24 years old male from Peshawar. his case was assessed based on his background history using several assessment measures including the Psychopathic Checklist, House Tree Person (HTP) and GAVEL assessment. Findings: Results confirmed subject ABC's psychopathic characteristics, such as a lack of empathy, remorse, and moral integrity. Conclusion: Subject's evaluation shows a troubling picture with a clear hostile and aggressive personality. Person had lack of remorse and empathy and was much interested in violence, stealing and hurting people. Moreover, materialistic and manipulative characteristic were prominent in him and he often put on a socially acceptable act in front of other while hiding his dark urges. Keywords: drug addiction, psychopath personality trait, GAVEL assessment, HTP
Assessment the Levels of Depression among Patients with Hemodialysis at the Dialysis Centers in Mosul City
Authors: Suleiman Ahmed Abdel-Qader , Abed Sarmad Muqdad , Ahmed Salim Shihab
Published: March 2024

Aim: Depression is the most common psychiatric illness in patients with end-stage renal disease . Objectives: a descriptive study design, aiming to assess the levels of depression among patients with hemodialysis at two dialysis centers in Mosul City for the period 1st January to 15the Jun 2023. Material and Methods: The study used a non-probability accidental sampling method, 84 patients with Chronic Kidney Disease who were subjected to hemodialysis was enrolled in two dialysis centers at Mosul City. The study was conducted using the diagnostic poll method and standardized research tools: Part 1 collected socio-demographic characteristics of the patients. Part 2 [the Center for Epidemiologic Studies Depression Scale (CESD-R-20)], a 20-item self-report questionnaire to measure depressive symptoms. The scale had a 4-level Likert scale, and a total score was calculated by summing the 20 items. Scores equal to or above 16 indicated a person at risk for clinical depression. Data were collected through self-report questionnaires. Conclusion: The findings indicated varying levels of depression among the patients, with some experiencing high levels of depression symptoms. Recommendation: The study provides valuable insights about the need for coordination between mental health professionals and dialysis patients in dialysis centers. Keywords: Hemodialysis, depression, patient.
Frequency of Polycystic Ovarian Syndrome in Sub Fertile Gynecology & Obstetrics, Civil Hospital and Dow University of Health & Sciences, Karachi
Authors: Abro Noshaba Nafees , Nargus Rozina , Mangi Majida , Naz Shabnam , Samo Reema , Shaikh Quratulain
Published: March 2024

Objective: To determine the frequency of polycystic ovarian syndrome in sub fertile women. Material and method: This is descriptive study conducted at infertility clinic of Gynecology & obstetrics, civil hospital and Dow University of health & sciences, Karachi for period of 6 months. Total 100 patients was evaluated who were present at infertility clinic were examined for PCOS. Results: Most of the patients were between 21 to 30 years of age. The average age of the patients was 25.5 ± 4.39 years. The most common clinical feature was hirsutism that is observed in 17 percent women. Conclusion: PCOS is a frequent reproductive-age endocrine condition. Biochemical and clinical symptoms vary widely. PCOS should be properly evaluated in all suspected women. Keywords: Polycystic ovarian syndrome, sub-fertility, reproductive-age, endocrine disease
Güç ve Teslimiyet Sembolü Olarak Moğollarda Kemer/Kuşak
Authors: Erdoğan Coşkun
Published: March 2024

İç Asya tarihinin siyasi örgütlenmesi içerisinde Moğollar bozkır geleneğinin en önemli halkalarından birini oluşturmaktaydı. Türk-Moğol siyasi ve kültürel yapısı, bütünleşik bir çerçeve içerisinde doğmuş ve gelişimini sürdürmüştür. Bu doğrultuda mitsel öğeler, destansı anlatılar ve kültürel motifler kadim dönemlerden gelen psişik yapısıyla zaman içerisinde bahsi geçen toplumlarda zengin bir anlam derinliğine ulaşmıştır. Kemer/Kuşak’ın kullanımı da aynı gelişim seyri içerisinde Türklerden Moğollara taşınarak devam etmiş ve hatta Moğollar bu motifi siyasi ve sosyal alanda güç, iktidar, teslimiyet ve itaat anlamlarını baskın bir şekilde deruhte ederek kullanmışlardır. Daha sonra sembolik anlamlar yüklenen bu tür kültürleşmiş öğeler üzerinden gücün ve teslimiyetin göstergesi olan birçok tören ve ayinler de tertip etmişlerdir. Nitekim Cengiz Han bozkır kültür çevresi içerisinde kabileler halinde yaşayan toplulukların inanç değerlerine saygı duymuş ve onların geleneklerinin koruyucu ruhunu kendi başarılarının temel dayanağı yapmıştır. Cengiz Han ve ardılları arasında kemer/kuşak kullanımı inanç temelli bir düşünce altyapısını özünde taşıyarak siyasi ve sosyal alanda önemli bir sembol olarak kullanılmıştır. Aynı zamanda onun halefleri Tanrısal iradenin tecellisini ve Altın Urug olarak gücü temsil ederken, kemer motifinin simgeselliğini siyasi alanda etkinleştirmişlerdir. Güç ve iktidarın kaynağı olan Tanrısal iradenin temsili ise aslında figüratif dünyalarında mitolojk inançlarının bir yansıması olarak görülmektedir. Bu doğrultuda Moğollar arasında şaman elbiselerinde ve onun üzerindeki motiflerde çeşitli işlevselliklerle kemer kullanılmıştır. Bilhassa iradenin teslimi, özgürlüğün sunumu ve itaat olarak inanç dünyasında imgesellik kazanan kemer her daim bu özelliğini içinde barındırarak algılanmıştır. Ayrıca tarihsel süreç içerisinde kemerin bu simgeselliği Türk ve Moğollar tarafından yayıldıkları alanlara taşınmış ve Müslüman toplumlar arasında da kullanımı yaygınlaşmıştır. Araştırmada kemerin hem siyasi bir simge olarak Moğollarda kazandığı anlam ve törenlerdeki kullanımı üzerinden işlevselliği incelenecek hem de sosyal hayattaki yansımaları ele alınacaktır.
Internet of Things and Web-App-Based Data Accessibility and Management System for Chromameter Sensor Database
Authors: Samsuri Faisal , Simatupang Joni Welman
Published: March 2024

Information technology, an integral part of most industrial activities, is essential for supporting the rapid and substantial processes of the industrial sector. A key component of this technology is the Internet of Things (IoT), which is extensively integrated into these systems. At PT Sugity Creatives, an analysis revealed impractical methods in the production process, such as manual data recording and input, as well as the use of stickers on the rear side of product bumpers. These stickers can be detached from the main body (car) for verification purposes. To improve these processes, a data accessibility and management system were incorporated into a Raspberry Pi-based chromameter sensor prototype. This integrated system is designed to collect and store data in a database and uniquely identify data using QR Codes. The system takes an average of 7.97 seconds to store data and generate a QR Code per entry. This includes a module processing time of 7.25 seconds per data point and a rapid transmission rate of 0.72 seconds, covering data recording and QR Code transmission from the chromameter prototype, with data sizes ranging between 700 to 750 bytes.
Reflections on working for the Council of Europe
Authors: Byram Michael
Published: March 2024

The Common European Framework of Reference for Languages (CEFR) is one of the best known publications from the Council of Europe throughout the world (Byram and Parmenter 2012). It is known to the many kinds of readership for which it was designed: language teachers, assessment specialists, policy makers, inspectors, teacher educators and others including, not least, language learners. The latter are perhaps not aware of the publication but they do know about different levels and can describe their competence as A1 or B2 etc.
Teaching about Missing and Murdered Indigenous Women, Girls, and 2SLGBTQQIA+ People: Implications for Canadian Educators
Authors: Vanner Catherine , Goyeau Jillian , Logan Meegwun , Ryan Kendal , Weenie Angelina , Mitchell Claudia
Published: March 2024

The 2019 National Inquiry on Missing and Murdered Indigenous Women and Girls called on educators at all levels to raise awareness about the phenomenon of missing and murdered Indigenous women, girls, and 2SLGBTQQIA+ people (MMIWG2S) and its root causes as connected to centuries of colonial violence and ongoing systemic discrimination. This article responds to that call by showcasing the experiences of eight teachers already teaching about MMIWG2S, the recommendations of 11 adolescent Indigenous girl activists, and the guidance provided in the Their Voices Will Guide Us teaching and learning guide, published alongside the National Inquiry’s final report. We draw upon the combined perspectives to encourage teachers in Canada to address the issue of MMIWG2S with their students, moving past representations of colonial violence as historical to examining how it affects the lives and deaths of far too many Indigenous people in Canada today.
Alta hospitalar! E agora enfermeiro? Educação em saúde hospitalar: possibilidades de um caminho na óptica da teoria ecossistêmica
Authors: Paula Saul Ferraz de , Moraes Louisiana Carolina Ferreira de Meireles , Montanari Carolina Caruccio , Pedroso Vanessa Soares Mendes , Rangel Rosiane Fillipin , Siqueira Hedi Crecencia Heckler de
Published: March 2024

Objetivo: propor um ensaio teórico-reflexivo de educação em saúde, com base no Pensamento Ecossistêmico, que auxilie os enfermeiros a desenvolver o processo educativo, capaz de contribuir para a prática do cuidado domiciliar e melhoria da saúde do usuário e familiares. Método: estudo teórico-reflexivo, ancorado em dois componentes essenciais: Influências paradigmáticas nas concepções teóricas e metodológicas da educação em saúde sob o prisma ecossistêmico; O enfermeiro e a educação em saúde no contexto hospitalar com aplicabilidade do pensamento ecossistêmico: possibilidades de mudanças. Resultados: O enfermeiro representa uma vertente importante no processo educativo, podendo construir uma simbiose com o usuário e familiar durante o período de internação na busca do conhecimento necessário ao cuidado domiciliar, pós alta hospitalar. Considerações finais: Refletir sobre a educação em saúde, suas teorias e métodos que a fundamentam e influenciam, ao ancorar-se no Pensamento Ecossistêmico possibilita alcançar avanços, transformações e contribuições no processo educativo realizado durante a internação hospitalar para a continuidade do cuidado domiciliar.
Aprendendo e ensinando trigonometria com gravação de vídeos: para além da repetição e reprodução
Authors: Lima Luciano Feliciano de , Cunha Maria Francisca da , Estevão Eduardo José de Oliveira , Cardoso Cilene Maria Batista , Moura Rinalde Silva
Published: March 2024

Este artigo propõe-se a refletir sobre as aprendizagens e dificuldades enfrentadas por licenciandos em matemática da Universidade Estadual de Goiás (UEG), Câmpus Sul – Sede: Morrinhos, ao serem incentivados a atuar como sujeitos ativos durante o processo de aprendizagem em uma disciplina de Fundamentos da Matemática, com foco específico no conteúdo de funções trigonométricas. A pesquisa adota os princípios da metodologia qualitativa, conforme delineados por Bogdan e Biklen (1994). Destaca-se, inicialmente, a ênfase no ambiente natural de aprendizagem, neste caso, o curso de Licenciatura em Matemática, como a fonte primária de dados. Os pesquisadores assumem um papel ativo e observador, imersos no contexto investigado. A coleta de dados processa-se por meio de atividades práticas, incluindo a resolução individual de exercícios e a produção de vídeos explicativos. Participam da pesquisa 21 estudantes, desafiados a resolver exercícios de trigonometria individualmente, produzir vídeos para o YouTube, elaborar exercícios em grupo e utilizar o GeoGebra na construção de tarefas planejadas, além de realizar autoavaliações sobre o processo. Durante três meses, os dados recolhidos em encontros semanais online síncrono, e por meio de atividades assíncronas também, foram analisados qualitativamente com uma abordagem interpretativa. Os resultados indicam dificuldades dos licenciandos em realizar demonstrações matemáticas, produzir vídeos explicativos, elaborar tarefas matemáticas e utilizar o software GeoGebra. Identificam-se, por outro lado, potencialidades como a importância do compartilhamento de ideias, do trabalho colaborativo e da perseverança na realização das tarefas, fundamentais para o desempenho acadêmico e a formação docente. O estudo contribui para a formação de professores, destacando a relevância de integrar novas tecnologias e metodologias no ensino de matemática. Sugere-se a realização de futuras investigações sobre a produção de vídeos no contexto do ensino e aprendizagem de matemática para outros conteúdos matemáticos​​.
Obstáculos para as práticas pedagógicas em educação para cidadania e desenvolvimento moral no âmbito escolar
Authors: Dias Rafael Rodrigues Alves , Carvalho Carolina Fernandes de , Monteiro Lucas Cançado , Luna Guilherme Pamplona Beltrão
Published: March 2024

O presente estudo teve como objetivo identificar e discutir obstáculos para a eficácia das práticas pedagógicas em educação para cidadania e desenvolvimento moral no contexto da educação formal. Para tanto, foram realizadas entrevistas com professores da rede pública de ensino de Brasília-DF. A análise do conteúdo das respostas dos professores permitiu a identificação de três níveis de obstáculos (micro, meso e macro). A partir da discussão destas categorias de obstáculos, concluímos que o sucesso da promoção das competências de cidadania e desenvolvimento moral em ambiente escolar e a consequente construção de sociedades mais justas e democráticas depende de esforços articulados para o combate destes obstáculos de forma integrada em todos os três níveis identificados neste estudo.
Naturalização da poluição retratadas por meio de charges: reflexões a partir do contexto brasileiro
Authors: Oliveira Bruna da Cruz , Romero Rafaelle Bonzanini , Romero Adriano Lopes
Published: March 2024

O presente trabalho tem como objetivo refletir, por meio da análise de charges, sobre a naturalização da poluição no contexto brasileiro. Para isso, utilizamos uma abordagem qualitativa, de orientação semiótica, para refletir sobre charges de temáticas ambientais produzidas pelo chargista Arionauro da Silva Santos. Analisamos 22 charges que retratam diferentes tipos de poluição (ar, solo, água, sonora, visual e térmica) e desafiam a aceitação passiva desse problema. Observamos que a maioria das charges analisadas retratam cenas relacionadas à naturalização da poluição e se configuram como violações à legislação ambiental vigente. Concluímos que, as charges podem desempenhar um importante papel na promoção da conscientização ambiental e no estímulo à adesão e ao cumprimento das leis ambientais brasileiras. Desta forma, reforçamos acerca da importância da Educação Ambiental como um elemento essencial para combater a naturalização da poluição e promover uma visão crítica do tema no Brasil, alinhando-se com a legislação ambiental existente.
Characterizing the variability of bauxite mine tailings from CPTU test results
Authors: Caetani Bianca de Córdova , Nierwinski Helena Paula
Published: March 2024

In geotechnical engineering, there is a high degree of uncertainty associated with soil parameters, since soil materials are variable due to mineralogy, stress history, and deposition processes in the same layer of soil profile. Given the high degree of variability, there are limitations when calculating and simulating models based on deterministic parameters extracted from the field. Mine tailings are part of this scenario, to which must be added the difficulty of extracting samples and characterizing them in the laboratory, making field investigation crucial for basing geomechanical models. This study aims to quantify statistical properties such as mean, standard deviation, probability density function, and scale of fluctuation obtained from the analysis of direct measurements of piezocone tests, such as tip resistance, lateral friction, and pore pressure. A set of data from a bauxite tailing deposit will be used in the analysis, which which was done by implementing an algorithm in Python to calculate the statistical parameters. Q-Q plots and histograms were presented for the most variable CPTu data to evaluate the probability density function that best fits. The results found indicate a material with high variability with statistical parameters that are close to those pointed out by the literature for other mine tailings. By elucidating the statistical properties of the soil parameters, this study contributes to a better understanding of the geomechanical behavior of mine tailings deposits, aiding in the development of more accurate predictive models. Furthermore, the methodology employed underscores the importance of robust field investigations and advanced statistical analysis techniques in geotechnical engineering research.
Seni Rupa dan Kekuasaan: Dua Tafsir
Authors: Wahyudin Wahyudin
Published: March 2024

Sebuah lukisan dapat saja ditafsirkan berbeda ketika terjadi perubahan konteks. Lukisan abstrak A.D. Pirous Mentari Setelah September 1965 yang dibuat pada tahun 1968, oleh Kenneth M. Goerge ditafsirkan sebagai kenangan sebuah masa ketika negeri ini berada dalam genggaman kekuasaan Orde Lama. Namun 26 tahun kemudian, oleh Astri Wright lukisan itu ditafsirkan sebaliknya, yaitu sebagai kritik terhadap kekuasaan Orde Baru. Terlepas dari perbedaan tafsir atas makna lukisan itu, telah terjadi pemberangusan secara semena-mena karya-karya dan kehidupan sosial para seniman LEKRA, yang dituduh komunis, pada pasca September 1965.
Tradisi Ritus Pengobatan Suku Sakai dan Maknanya
Authors: Sutrianti Sri
Published: March 2024

Kepercayaan pada kekuatan alam menjadi dasar dari tata nilai kehidupan suku Sakai di pedalaman Riau. Alam menjadi kekuatan penentu arah kehidupan masyarakat adat tersebut. Setiap elemen alam, membentuk simbol-simbol kepercayaan, seperti  kepercayaan pada simbol kekuasaan laut, api, dan padi. Demikian pula pada cara pengobatan yang dilakukan oleh masyarakat adat, mereka menggunakan jalan keterhubungan antara raga, sukma dan alam itu sendiri. Dalam pengobatan, suku Sakai menggunakan media alam, seperti dedaunan yang tidak berhubungan dengan produk kimiawi. Selain dedaunan, pengobatan penyakit dilakukan dengan upacara ritus yang sudah turun temurun. Upacara ritus pengobatan suku Sakai itu menggunakan perpaduan antara tarian, doa-doa dan eksplorasi dedaunan dari sumber alam.
Membaca Keugaharian: Anak Bajang Mengayun Bulan
Authors: Septianno Beda Holy
Published: March 2024

Novel Anak Bajang Mengayun Bulan (disingkat ABMB) merampaikan drama berjenjang tentang pergulatan kakak-beradik, Sumantri dan Sukrosono. Kisah yang ditilik secara baru dari jagad pewayangan ini tidak mengulang cerita kebesaran kesatria Sumantri, tetapi memerankan Sukrosono yang antihero itu menjadi tabib bagi penyakit heroisme dan kecerobohan kakaknya, Sumantri. Pembacaan kedua tokoh fiktif tersebut dihadapkan dalam bingkai teori keugaharian (Sophrosune) menurut dialog  Xarmides karangan Plato. Tulisan ini menghindari perunutan kronik definisi-definisi keugaharian Xarmides pada ABMB, seolah Sumantri-Sukrosono lekas dimengerti hanya dalam bingkai Xarmides. Selain memang mengadopsi “ajaran” keugaharian Plato, proses pertentangan dan kesamaan Sumantri-Sukrosono dengan khasnya menelurkan inti keugaharian adalah adanya “yang jelek”.
Reinforcement learning in autonomous driving
Authors: Xiang Dantong
Published: March 2024

Automatic driving technology has become a highly researched field in recent years, aiming to achieve vehicle driving without human intervention. In this regard, reinforcement learning techniques have played a crucial role. This study discusses and analyses the use of reinforcement learning in automatic driving methods. The research begins with the process of reinforcement learning. In the architectural framework, there is a special emphasis on designing innovative reward functions to encourage safe and socially acceptable driving behaviour, while considering uncertainty factors through advanced Bayesian neural networks. This paper primarily focuses on aspects such as scene understanding, localization and mapping, planning and driving strategies, and control. Furthermore, the paper analyses the key elements of automatic driving and delves into the specific complexities associated with each element. It highlights the utilization of reinforcement learning within the realm of autonomous driving. Reinforcement learning assists autonomous vehicles in understanding the surrounding environment, accurately identifying paths, making intelligent driving decisions, and safely controlling the vehicle. Reinforcement learning especially working with deep learning plays a crucial role in realizing and continuously improving automatic driving. Finally, the paper concludes with a summary and outlook on the entire study.
Artificial intelligence in clinical applications
Authors: Wang Xibei , Weng Shizhen , Xie Ziyu
Published: March 2024

Modern medicine has improved to the point that intelligent diagnostic tools and auxiliary medical technology, such as surgical robots and image analysis systems, are now widespread in clinical settings. In clinical practice, the performance of different surgical robots and image analysis systems is very different, which seriously limits the use of complex medical scenes. The algorithm models and robotic arms that these intelligent robots and the supporting systems rely on have being recognized by the researchers. In this study, hardware and software algorithms are introduced one at a time, with a focus on the Da Vinci medical robot arm systems, the control mechanisms that run the surgical task optimization tools, in particular Proportional-Integral-Derivative (PID) and Remote Center of Motion (RCM), and the image algorithm active contour model that significantly increased the accuracy of tumor localization. Also provided are suggestions for improving the system's use, its limits, and future research possibilities.
Systematic analysis of the principles and application scenarios of Low-Noise Amplifier
Authors: Cai Dexi
Published: March 2024

As society advances, new ideas and products are increasingly integrated into our daily lives. 5th generation mobile networks tech enables faster, lag-free connectivity, raising performance standards for components like Low-Noise Amplifiers. Summarizing Low-Noise Amplifier tech and applications helps researchers and firms leverage past knowledge and explore innovations. This paper analyzes Low-Noise Amplifier development and application, discussing types, principles, key performance indicators, and circuit structures of basic amplifiers. Five vital Low-Noise Amplifier characteristicsnoise figure, impedance matching, linearity, stability, and gainare examined. The author introduces design and application cases in radio astronomy, navigation systems, and 5th generation mobile networks communications based on Low-Noise Amplifier characteristics and performance requirements. The author concludes that advancing radio frequency tech requires improved Low-Noise Amplifiers, especially for high-frequency signals in 5th generation mobile networks. Promising noise performance enhancements come from technologies like modified high electron mobility transistors on GaAs and InP substrates. Monolithic Microwave Integrated Circuit integration reduces size while maintaining cost-effective performance. Future advancements in these areas could further boost Low-Noise Amplifier performance.
Artificial intelligence's role in the realm of endangered languages: Documentation and teaching
Authors: Wang Luyi
Published: March 2024

With numerous languages nearing extinction, the urgency to preserve endangered languages has become a prominent focus in the linguistic field. This paper delves into the transformative role of Artificial Intelligence (AI) in the domains of documentation and pedagogy for endangered languages, particularly highlighting its innovative applications and the associated challenges. It delves into how AI-powered tools reshape linguistic fieldwork, offering accelerated annotation, consistent data collection, and deeper analytical endeavors. Furthermore, this exploration highlights the potential of AI in revolutionizing the teaching of these languages, ushering in a new era marked by dynamic, scalable, and engaging learning experiences. While AI presents unparalleled efficiencies, its challenges, ranging from data scarcity to the looming digital divide, are addressed critically. As the digital age continues to evolve, merging AIs capabilities with traditional linguistic approaches holds the promise of a more inclusive and comprehensive strategy to rejuvenate and preserve the worlds rich linguistic tapestry. This paper has summarized and provided an outlook on the research topic at hand.
Revolutionizing image recognition: The dominance and future potential of convolutional neural networks
Authors: Ye Xingyu
Published: March 2024

As AI technology advances swiftly and diverse industries increasingly require image processing, traditional image recognition methods are displaying their limitations. This paper explores the evolving landscape of AI technology in the context of image processing and highlights the limitations of traditional image recognition methods. With the proliferation of big data and the evolution of deep learning, convolutional neural networks (CNNs) have emerged as a dominant solution for image recognition across diverse industries. The paper begins by elucidating the architecture of CNNs and introduces commonly employed traditional CNN models. Furthermore, it offers practical insights into the application of CNNs within various industries, illuminating the path for future CNN development. The transformative potential of CNNs is underscored, as they possess the ability to extract intricate patterns from images, reshaping numerous domains. The paper's primary focus is on CNNs in the realm of image recognition, encompassing efforts to enhance precision and efficiency in CNN-based image recognition, as well as addressing real-world challenges in this domain using CNNs.
The application of the internet of things technology in the smart grid
Authors: Xu Jinghui
Published: March 2024

The development of electric power and the energy industry is an important guarantee for national economic development. With the explosion of population and the development of science and technology, the power system needs to be more intelligent and networked to facilitate management and optimization. In recent years, the Internet of Things (IoT) technology has continued to develop through the combination of Internet technology and sensor technology, and the fast network transmission speed as well as the miniaturization and refinement of sensing can help the construction of the smart grid. This paper analyzes the application of IoT technology in the smart grid, including different types of smart grid architecture and the practical application of the IoT technology in the whole process of power transmission. Besides, the paper also discusses different application links and network levels. At present, the IoT technology has been applied to the smart grid information collection, transmission, and processing process, participating in information management in the power station, power transmission, substation, and other links. However, due to the complexity of processing the massive data of the power grid and the multiple network connections during the transmission process, ensuring the security of information and networks has become a challenge. While realizing high-speed communication, it is necessary to ensure the security of users as well as the information communication and networks.
Transaction fraud detection by CatBoost model with feature engineering
Authors: Shi Jiahan
Published: March 2024

In the digital era, the ubiquitous nature of online transactions has placed a spotlight on the imperative for robust fraud detection systems. This research tackles this pressing issue, with a particular emphasis on the nuanced process of feature engineering tailored for the IEEE-CIS dataset, a representative sample of contemporary transactional behaviors. The enhancement of data attributes, through meticulous feature engineering, acts as the bedrock for the application of the CatBoost model - a gradient-boosting technique revered for its precision. The paper dedicates significant attention to both these pivotal stages, showcasing the synergistic effect they have when applied in tandem. With this refined data and sophisticated modeling, the proposed method manifests exceptional performance, establishing a new benchmark when juxtaposed with other gradient-boosting methodologies. Conclusively, this study offers valuable insights for enhancing online transaction security and sets the stage for further innovation in fraud detection within the machine learning community.
Fire image detection and classification analysis based on VGG16 image processing model
Authors: Hou Fengjun
Published: March 2024

Fire image classification technology refers to the classification and recognition of fire images through computer vision technology in order to take timely countermeasures. With the development of computer vision technology, fire image classification technology has been widely studied and applied. Deep learning techniques have achieved great success in the field of image classification, with researchers classifying and identifying fire images by using deep learning models such as convolutional neural networks. This paper introduces the research background and application of fire image classification technology, and the experimental results of detection and classification analysis of fire image based on vgg16 image processing model. The model can classify and identify fire images well and achieve good prediction effect. The accuracy of training set and test set is stable at 99%, the accuracy and accuracy of the model reach 98%, and the recall rate and F1 score reach 99%. The application of fire image classification technology is of great significance. By using computer vision technology to classify and identify fire images, it can improve the accuracy and efficiency of fire monitoring and early warning system, timely detect and control fire, and reduce the loss caused by fire. At the same time, the continuous development of deep learning technology also provides a broader space for the research and application of fire image classification technology.
Mahjong detection based on YOLOv5
Authors: Zhang Jiawei , Zhi Ran , Zhou Ji
Published: March 2024

Mahjong is a captivating game that enjoys popularity in China, Japan, and various other Asian nations. The rapid progress of artificial intelligence technology has spurred significant research attention towards achieving automated mahjong matches. Central to this effort, the precision of mahjong card recognition plays a pivotal role in determining the effectiveness of subsequent tasks.The traditional image recognition method mainly relies on the similarity measurement between the target and the template, whose accuracy and stability cannot meet the needs of the application due to changes in external factors such as the angle and lighting of the mahjong image acquisition in the actual game. In this article, a mahjong intelligent recognition method based on YOLOv5 is proposed. Specifically, this article applies image recognition technology to the AI training of national standard mahjong, and quantitatively analyzes the impact of mahjong image quality (such as shooting angle, mahjong size) on model prediction results. The results show that the proposed method based on YOLOv5 can achieve robust recognition of mahjong, which can bring some new insights to the field AI games.
Application of deep learning in noise detection of electromechanical products
Authors: Zhao Guoli , Weng Weini
Published: March 2024

In recent years, machine learning (ML) techniques have been widely integrated into manufacturing processes. This study explores supervised learning-based machine learning models designed for noise detection. The approach involves feature engineering, extracting relevant features from signals to provide meaningful inputs for machine learning models. Various algorithms, including convolutional neural networks (CNN) and other deep learning architectures, are employed to capture complex dependencies within the data. Training processes involve optimization techniques to enhance model performance and generalizability. Performance evaluation on benchmark datasets compares the proposed model with existing noise detection methods. Results demonstrate the outstanding accuracy and robustness of the generated machine learning model in distinguishing noise from clear signals. Additionally, the study explores the transferability of these models to new scenarios, highlighting their adaptability in practical applications. Findings from this research contribute to advancing noise detection methods, showcasing the effectiveness of machine learning in addressing this crucial challenge. The proposed solution is cost-effective, structurally simple, and holds vast potential for widespread implementation in factory settings in the future.