bluuebunny/crossref_metadata_2025 huggingface dataset:
Failure Factors of Bubble CPAP in Neonates with Respiratory Distress
Authors: Afrin Sabrina , Shirin Mahfuza
Published: September 2023

Background: Respiratory distress is the most frequent presenting complaint of newborn encountered within the first 48–72 hours of life. An infant who is breathing on instinct is given non-invasive respiratory support called Bubble Continuous Positive Airway Pressure (Bubble CPAP) to help them to maintain a long volume during expiration. The study aimed to identify failure factors of Bubble CPAP in neonate with respiratory distress. Material & Methods: From April to September 2017, a cross-sectional study was carried out at the Department of Neonatal Medicine in Bangladesh Shishu Hospital & Institute. One hundred and eight (N=108) newborns with respiratory distress who were given Bubble CPAP were enrolled for the study. After receiving the parent’s or guardian’s written informed consent, all the necessary information were recorded in a predesigned proforma that included the patient’s specifics. Then completed data forms were reviewed, updated, and prepared for computer data input. The “t” test, “r” test and Statistical Package for the Social Sciences (SPSS) Version 23.0 were used to analyze the data. Results: Among study patients (N=108), most of the neonates 49 (45.4%) belonged to age ≤24 hours and the neonates with respiratory distress which needed Bubble CPAP support 18 (16.7%) had RDS, 18 (16.7%) had PNA, 15(13.9%) had pneumonia, 14(13.0%) had PPHN, and 10(9.3%) had sepsis. More than three-fourths of the patients (85) were found successfully weaned and one-fifth of the patients (23) failed. Conclusion: The most frequent causes of respiratory distress were RDS, PNA, PPHN, Sepsis, congenital pneumonia, and pneumonia. Grunting respiration, higher RR, lower SPO2, higher FiO2 and cyanosis were substantially associated with Bubble CPAP failure among the respiratory distress symptoms. PPHN and sepsis have a causal relationship with Bubble CPAP failure. More duration of Bubble CPAP and more hospital stay also have relation with Bubble CPAP failure. The majority of patients were weaned, however, patients who failed Bubble CPAP died more frequently.
Frequency and severity of general and ear nose throat (ENT)- related symptoms in COVID-19 patients in a tertiary care hospital – A retrospective observational study
Authors: Ghosh Nibash Chandra , Nawshin Tamanna , Hurain Kamrun Nahar , Sohel Shah , Talukdar Sabyasachi , Alam Sheikh Mohammad Tanjil ul , Khanom Tasnim
Published: September 2023

Background: Coronavirus disease 2019 (COVID-19) is a contagious respiratory and vascular disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a specific type of coronavirus. This human RNA coronavirus was isolated in December 2019 in the city of Wuhan, China. In March 2020, World Health Organization (WHO) declared that COVID-19 is a pandemic disease. The aim of this study was to determine the frequency and severity of the general symptoms of patients diagnosed with SARS-CoV-2, as well as the frequency and severity of ENT-related symptoms. Material & Methods: This was a retrospective observational study and was conducted in the Department of Otolaryngology & Head Neck Surgery of Dr Sirajul Islam Medical College & Hospital, Dhaka, Bangladesh during the period from July, 2020 to June,2021. In this study, we included 250 patients who had a history of SARS-CoV-2 infection, confirmed by PCR testing. Results: The majority (26.8%) of our patients were aged > 65 years, & most of our patients were male (55%). Mean age was 50.35 ± 17.41 years. Majority (38.4%) of our patients had HTN, 33.6% had DM, & only 15.2% had asthma. Among all patients, runny nose (81.6%), fever (74.8%), loss of sense of smell (73.6%) , loss of sense of taste (67.6%) were the most common symptoms. Olfactory dysfunction (78.4%) was the most common. We found severe cases of taste disturbance while dyspnea & headache indicates a moderate level of severity. Sore throat, runny nose & tinnitus were assessed as mild levels of severity. Conclusion: In our study, we found patients infected with SARS-CoV-2 may present to hospitals with a variety of general and ENT symptoms. Age, vertigo/dizziness, sore throats, and tinnitus was significantly related to frequency & severity of ENT symptoms associated with COVID-19 infection. Symptoms related to the sense of smell, taste and hearing are some of the most common symptoms in the course of COVID-19, which is important in the therapeutic and epidemiological management of patients.
Comparison of Diode Laser and Scalpel technique in the treatment of Gingival Melanin hyperpigmentation
Authors: Saima Syed , Parveen Ishrat , Jan Suhail Majid , Behal Roobal
Published: September 2023

Background: A smile can bring happiness into one’s life and also create positivity in the surrounding environment. Black or brown gums is a very common problem among all races of men and women that one complains to a periodontist. Depigmentation of melanin hyperpigmented gingiva can be carried out using scalpel and diode laser. Material & Methods: 10 patients having uniformly dense band of bilateral physiologic gingival hyperpigmentation on the facial aspect of maxillary and mandibular gingiva were included in this study. Each patient underwent initial phase 1 therapy (oral hygiene instructions, scaling and root planning) 1 week before the depigmentation procedure. A split mouth study was followed. In test group depigmentation was done by Laser and in control group depigmentation was done by scalpel. Followup was done at 1 week,1 month , 3 months and 6 months. Results: There was no statistical significance in plaque and gingival index in both the groups. At 6 months in group A, repigmentation was seen in 7 patients and in group B, repigmentation was seen in 6 patients. Conclusion: The methods used here produced desired results and above all, the patients were satisfied with the outcome, which is the ultimate goal of any therapy. The scalpel remains the gold standard because of its convenience and cost effectiveness, but with proper adhesion to safety measures, the diode laser can also be used to remove gingival pigmentation efficiently.
Association of Gastrointestinal Manifestations with Socio-demographic, Lifestyle & Clinical Factors in HIV/AIDS Patients
Authors: Rahman Md. Mustafezur , Akter Sheuli , Hasan SM Ali , Rahman Sk. Mahmudur , Dey Suman , Ahmad Habib Iftekhar , Ahmed Dewan Saifudin
Published: September 2023

Background: Gastrointestinal abnormalities in people with HIV/AIDS have been reported since the advent of AIDS. This study aimed to analyze the gastrointestinal manifestations in HIV/AIDS patients in terms of sociodemographic, lifestyle, and clinical characteristics with the association of GI manifestations. Material & Methods: This observational cross-sectional analytical study was conducted at the ART corner and Department of Gastroenterology, Bangabandhu Sheikh Mujib Medical University, Shahbag, Dhaka among adult HIV-infected or AIDS patients aged more than 18 years. A total of 122 patients were taken as per inclusion criteria. The study took place from March 2018 to February 2019. Continuous variables were reported as the mean ± standard deviation. The correlation of several GI symptoms with CD4 count was done by the Spearman rank test. Sociodemographic variables (gender, age, income, and education level), lifestyle variables (smoking status, risk consumption of alcohol, and physical activity level), and clinical variables (antiretroviral therapy – duration and class, duration of HIV infection) were assessed through a pre-tested and standardized questionnaire. The chi-square test was used to test the statistical significance of associations, considering a p-value ≤0.05 as statistically significant. All of the data were analyzed and calculated using the Statistical Package for Social Sciences (SPSS version 20.0) and Microsoft Excel 2016. Results: Among the patients, male preponderance was seen with the frequency of 66% (31) and 61.3% (46) with and without GI symptoms respectively. Patients aged 40-49 years old were more frequent with (31.9%) and without (25.3%) GI symptoms. The patients of primary level of education had GI symptoms and had no GI symptoms were 61.7% and 45.3% respectively of the total. Statistically significant (p=0.03) indicating that low CD4+ cell count (≤ 350 cells/mm3) can be considered as an associated risk factor for the occurrence of GI manifestations in HIV infected patients. There was less statistically significant difference in other clinical characteristics between patients with current GI manifestations and without GI manifestations. Here, the statistically significant p-value ≤0.05 is considered. Conclusion: This study concluded that, smoking and low CD4 count (<350cell/mm3) were found significantly associated with the occurrence of presenting GI symptoms. Other sociodemographic, lifestyle, and clinical factors were not significantly associated with the occurrence of GI manifestations.
O Gran Teatro da vida: máscaras, dramas e artifícios (neo)barrocos no romance O casamento de Nelson Rodrigues ou Anão de Velázquez
Authors: Ferreira Felipe França , Lima Samuel Anderson de Oliveira
Published: September 2023

Os estudos que tratam de analisar a obra de Nelson Rodrigues têm como corpus principal alguma de suas inúmeras peças teatrais, valendo-se dos resultados apontados pelo grande crítico Sábato Magaldi. Quando não, esses estudos se concentram em analisar as crônicas jornalísticas produzidas nas mais diversas redações pelas quais passou o dramaturgo. A atuação de Nelson Rodrigues como romancista ainda é pouco explorada e merece uma atenção redobrada. Este artigo pretende analisar o romance O casamento à luz dos estudos neobarrocos de Severo Sarduy, que se utilizam principalmente da literatura latino-americana produzida a partir dos anos 60, como Gabriel García Márquez, Julio Cortázar, Guimarães Rosa e José Lezama Lima para falar de um espaço neobarroco, hiperbólico, metafórico, metonímico, carnavalizado.
Multiple and bilaterally pulmonary hydatid cystic present as metastas
Authors: Manouchehr Aghajanzadeh  , Ali Alavi Fomani  , Alirza Jafarnegad  , Azita Tangestaninejad  , Seyedn Aliaskhar Fakher Mosavi  , Omid Mossafaii
Published: September 2023

Hydatid cyst is a parasitic infections of the humans that caused by echinococcus infection. This infection is considerable problem of public health. The most common locations in human body of a hydatid cyst are the liver (75%) and the lung tissue (15%) in the review of medical literature there was a few reports from bilaterally pulmonary hydatidosis which clinically mimics metastatic malignant tumors at initial clinical finding. Because of unusual presentation, the diagnosis with clinical presentations and CT-scan and CXR may easily be missed. For of this missed diagnosis problem, multiple and bilaterally hydatid cyst of lung should be in difrienciated diagnosis of others pulmonary diseases.
EQUITY CAPITAL AS A FUNDAMENTAL FINANCIAL STABILITY FACTOR OF THE ECONOMIC SUBJECT
Authors: Тхагапсо Р.А. , Тхаркахова И.Г.
Published: September 2023

Капитал предприятий выступает основным источником финансовых средств, поддерживающим достаточный уровень их финансовой устойчивости. Экономисты различных школ и направлений выдвигали свои трактовки понятия «капитал». В работе первоначально приведен анализ различных интерпретаций капитала, который в различных сферах экономики несет свою смысловую нагрузку. Опираясь на экономическую составляющую категории «капитал», исследованы механизмы управления им посредством анализа зарубежной и отечественной практики его приращения.

The capital of enterprises is the main source of financial resources that supports a sufficient level of their financial stability. Economists of various schools and trends put forward their interpretations of the concept of «capital». The paper provides an analysis of various interpretations of capital, which carries its own semantic load in various spheres of the economy. Based on the economic component of the «capital» category, the mechanisms of its management are investigated by analyzing the foreign and domestic practice of its increment.
The Role of Spain in Ibero-American Cooperation
Authors: Tufetulov T. A.
Published: September 2023

This article examines one of the most actual issues of Spanish foreign policy: the role of Spain in Ibero-American cooperation. The historical background and claims of Spain and Morocco to these disputed territories, which are used by it to substantiate its claims, are presented. The problem is far from being resolved: the migrant crisis in Ceuta in May 2021 and Morocco’s claims to the cities of Ceuta and Melilla confirm the difficult situation in the Strait region for Spanish foreign policy. The article deals with territorial issues in the Strait, in which Spain has jurisdiction, powers and special responsibility, using cooperation with the EU as a short- and long-term strategy.
Trends in the Friendly Communications Development between Turkey and Azerbaijan
Authors: Tyulyakova S. A.
Published: September 2023

This article provides an analysis of the trends in the development of friendly Azerbaijani-Turkish communications. The increasing integration of the two states determines not only the bilateral, but also the foreign policy communications of the countries. Azerbaijan pursues a multi-vector and sovereign foreign policy, but many of the decisions directly meet the interests of the Turkish-Azerbaijani alliance and contribute to further integration. Turkization and strengthening of cooperation with NATO are the main accents of the current Azerbaijani agenda on the world stage.
Hepatoprotective Activities Of Polar And Non Polar Extract Kembang Sepatu Flower (Hibiscus rosasinensis L.)
Authors: Hettie Adil Ellen , Manampiring Nonny
Published: September 2023

This study aims to obtain the dominant phytochemical group in polar and non-polar extracts of hibiscus flowers and obtain data on hepatoprotective activity of polar and non-polar extracts of hibiscus flowers on male white rats induced by high doses of paracetamol. This study consists of the stages of extraction, stages phytochemical analysis and test phase of hepatoprotective activity using rat test animals. Treat done is negative control (K -). This group was only given solvents (CMC Na 0.5%) 1ml / head / day for 28 days and was not given heat stress treatment. H0. This group was given solvents (CMC Na 0.5%) 1ml / head / day for 28 days, after which they were given heat stress treatment for eight days. H1 This group was given a polar extract of Hibiscus rosasinensis red flowers at a dose of 0.075g mg / 200gramBB / day in a 0.5% CMC suspension of 1 ml for 14 days, and after that was given heat stress treatment for eight days. H2. This group was given a non-polar extract of Hibiscus rosasinensis red flowers at a dose of 0.075mg / 200gramBB / day in a 1% CMC suspension of 1 ml for 14 days, and after that was given heat stress treatment for eight days. The measured parameters were the content of SGPT and SGOT . The results showed that the polar extract and non-polar extract Hibiscus rosasinensis L. red variety were able to maintain levels of the SGOT and SGPT enzymes in white rats (Rattus norvegicus) induced by high doses of paracetamol, as in the negative control group (K-).
HEMATOLOGY PARAMETERS OF THE WHITE RAT (Rattus norvegicus) IN VARIOUS PHYSIOLOGICAL CONDITIONS OF REPRODUCTION
Authors: Aiba Sumiaty , Rawung Livana Dethris
Published: September 2023

Rattus norvegicus is one of the experimental animals that is widely used in research. Knowing the hematological status of R. norvegicus rats during reproduction is the aim of this study. In this study was used 12 female rats were sexually mature. Data were collected at the rats that were not yet pregnant (T0); 10 days pregnant mouse (T10); 20 days pregnant mouse (T20); 7-day lactated rat (L7); and 20-day lactating mice (L20).  This study shows that during pregnancy and breastfeeding there is an increase in the level of erythrocytes in the blood. During pregnancy, there is a decrease in hemoglobin levels and higher during lactation. The hematocrit value during lactation shows a higher value than in the non-pregnant and pregnant states.
ISOLATION AND IDENTIFICATION OF ENTOMOPATHOGENIC ON CROSIDOLOMIA BINOTALIS [ZELLER] (LEPIDOPTERA : PHYRALIDAE) USING 16S rRNA GENE
Authors: Manuahe Carolin
Published: September 2023

The aims of this reserach were to isolating and to identifying bacteria entomopathogenic on caterpillar pests in cabbage. The study was conducted in three phases. The first stage isolation of bacteria from cabbage caterpillar pests, the second stage of microscopic characterization of bacterial isolates and the third phase molecular identification of bacteria isolates using 16S RNA gene. The results were obtained five bacterial isolates of caterpillar pests in cabbage which 4 isolates shaped cocus, three isolates of gram positive and gram negative two isolates. All of isolates were able to degrade D-glucose. Isolates were translucent white color, white yellowish and brownish white. Generally isolates are not motile dan growth in the media to the surface. Results of DNA extraction and amplification of 16S RNA gene, showing the purity and concentration of DNA is good, confirmed by electrophoresis, amplicons formed band at 1500 bp according to the characteristics of the 16 S RNA gene
ANTILITHIASIS EFFECTIVENESS TEST OF ETHANOL EXTRACT OF ALANG-ALANG (Imperata cylindrica (L.) Beauv) ON WHITE RATS (Rattus novergicus)
Authors: Komansilan Stenly , Rumondor Rolef
Published: September 2023

The purpose of this study was to determine the antilithiation effectiveness of alang-alang extract in white rats by looking at the histology of the rat kidney. The study design, the treatment group was divided into 5 groups. Control group (P0), ethylene glycol group (P1), Hydrochlorothiazide treatment group (P2), alang-alang extract group at a dose of 100 mg/kgBW (P3), and alang-lang extract group at a dose of 200 mg/kgBW (P4). The results showed that alang-alang extract had activity in repairing the kidneys of white rats with urolithiasis. And the alang-alang extract dose of 200 mg/kgBW has better effectiveness.
CORRELATION BETWEEN BODY WEIGHT AND ORGAN WEIGHT IN DIGESTIVE SYSTEM OF NORTH SULAWESI LOCAL PIG
Authors: Mege Revolson Alexius , Manampiring Nonny , Mokosuli Yermia Semuel
Published: September 2023

North Sulawesi local pigs have good potential because they have a high adaptability to the environment and low-quality feed obtained from processed food remnants of the population. The samples used in this study were local sows from North Sulawesi which were spread on traditional farms. The purpose of this study was to obtain data on body weight of livestock including the weight of organs in the digestive system (stomach, intestine and liver). Body weight data will be correlated with organ weight and intestinal length data. The results showed that the average body weight of the local pigs used in this study ranged from 16.65 ± 0.66 kg with the age of the cattle ranging from 1 year. The results of statistical analysis of the correlation test between body weight and organ weight of local pigs showed a very significant correlation value (P < 0.01). The correlation value shown in the study shows a very strong value in the correlation between body weight and the weight of an empty stomach and a strong correlation value is shown in the correlation between body weight and liver weight and intestine length, meaning that the weight of organs in the body in the digestive system will increase with increase in body weight. Body weight is one indicator of livestock productivity that can be estimated based on the size of the animal's body.
IDENTIFICATION OF INSECT SPESIES ASSOCIATED WITH AVOCADO SEEDS (Persea americana Mill)
Authors: Mellaninyanto Dewi , Naharia Orbanus , Satiman Utari
Published: September 2023

Avocado (Persea americana Mill) is a fruit plant that has high nutritional value and is relatively economical. Efforts to increase the production of avocado seeds (Persea americana Mill) are still often constrained by pests and diseases. This study aims to determine the types of insects associated with avocado seeds (Persea americana Mill) and the level of damage to avocado seeds (Persea americana Mill) due to insect pests in Seeds Garden of the Melati Women Farmer Group 2, Ranowulu District, Bitung City. This study used a survey method, namely direct observation (visual) of pests that attack avocado seeds (Persea americana Mill). This research is a descriptive research with survey method. Observation activities by direct observation on avocado plant seeds (Persea americana Mill). Insects were identified using an insect identification book guide. The results of identification and direct observation at the Seeds Garden of the Melati Women Farmers Group 2, Ranowulu District, Bitung City, found 3 orders consisting of 4 insects, namely the Ordo Orthoptera Wood Grasshopper (Valanga nigricornis) and Green Steamed Grasshopper (Atractomorpha crenulata), Ordo Homoptera White Dompolan Tick (Planococcus citri), Ordo Hemiptera Bapak Pucung (Dysdercus cingulatus). The results showed that the percentage of seeds attacked by insect pests in the Seeds Garden of the Melati Women Farmer Group 2, Ranowulu District, Bitung City with a seedling age of 1-10 months was 36.66% and a damage rate of 26.97% of the total seeds of the 30 seeds that had been observed and included in the moderately damaged category.
Phytochemical Test and Effectiveness of Alang-alang Stolon Extract (Imperata cylindrica L.) Against Mortality of Dengue Fever Mosquito Larvae (Aedes Sp.)
Authors: Antou Ray Natalia , Repi Rudi Alexander , Taulu Marthy
Published: September 2023

Aedes sp. is a species of mosquito that acts as a vector for transmitting dengue. The use of chemical insecticides to control Aedes sp. result in negative impacts on the environment. One vector control of dengue fever is using plant-derived insecticides, namely stolon Alang-Alang extract Imperata cylindrica L. which is known to be more effective against dengue fever mosquitoes Aedes sp. This study aims to determine the effectiveness of stolon alang-alang extract against the mortality of dengue mosquito larvae in Aedes sp. The method in this study is to analyze mortality data using Microsoft Excel 2016 probit analysis using seven treatments and three replications with a concentration of 0.2%, 0.25%, 0.3%, 0.35%, 0.4%, 0.45%, and 0.5%. Larvae were tested at each concentration of as many as ten tails. The effectiveness of stolon alang-alang extract on larval mortality was observed every 12-72 hours. The data were analyzed by calculating the LC50 value using probit analysis. The results showed that alang-alang stolon extract effectively killed the mosquito larvae of Aedes sp. ranging from 0.25-0.5% concentration. The highest mortality rate was obtained at a concentration of 0.3-0.5%, capable of killing 100% of the mosquito larvae of Aedes sp. A concentration of 0.3-0.35% can cause 100% mortality of larvae at 60 hours after application (JSA), a concentration of 0.4% can cause 100% mortality in 48 (JSA) and a concentration of 0.45-0.5% causes 100% mortality of larvae in 36 (JSA). Probit analysis showed the LC50 result was 0.2116% (2115.5 ppm) with a toxic category (500-5000 ppm).
WHITE TAILED JUNGLE RAT MORPHOLOGICAL DIVERSITY STUDY (Maxomys sp.) OF NORTH SULAWESI ACCORDING FROM THE TAIL MORPHOLOGICAL CHARACTERISTICS
Authors: Patuwo Frisky fransiskus , Kamagi Decky D. W. , Rengkuan Mariana
Published: September 2023

Tail characteristics of the White-Tailed Jungle Rat (Maxomys sp.) of North Sulawesi have been examined by us to reveal the population diversity. Usually, examining population diversity or species uses numerous morphological features as markers for variation. However, in this study, we are only using one morphological feature, which is the characteristic of the tail from the samples. Several experts have used tail characteristics as the sole identifier for species identifications. On another account, diversity studies using various white-tailed jungle rats are also being performed, and the result of the said study can be compared with the result of the study in which only a single feature is the tail characteristics of the white-tailed jungle rat. The characteristics of white-tailed jungle rats that were examined include total length, the total length of the white section and the present/lack of fine hairs on the tip. The number of samples is 35. The samples are obtained from the jungles of North Sulawesi, which are The District of Minahasa, North Minahasa, South Minahasa, and Southeast Minahasa. The results of morphological observation of the white-tailed jungle rat were analyzed using mutual cluster analysis, statistics program, SPSS IBM, 26. The analysis results from a dendrogram showed two main clusters: the first with the numbers 9, 19 and 12 and the second with the remaining sample numbers. On the second cluster, there are two more formed sub-cluster. The results of this study are nearly identical to the study results that use various morphological diversities. This study recommends that the tail characteristics of a white-tailed rat can represent the diversity of white-tailed rats.
IDENTIFICATION AND CHARACTERIZATION OF FEED PLANTS FOR Apis dorsata Binghami IN THE PINABETENGAN FOREST, MINAHASA
Authors: Tewu Feydina , Naharia Orbanus , Mokosuli Yermia
Published: September 2023

Apis Dorsata Binghami is a honey bee that is often found in the forest, which is conserved by the community, but there are also honey bees that are just left alone; the community preserves these honey bees because their honey can be traded and can also be used as medicine. This study aims to determine the plants that are a feed source for Apis Dorsata Binghami in the Pinabetengan Forest, Minahasa Regency. This research was conducted in June-August 2022. The data collected came from field survey data using descriptive methods and identified plant species with values of Reactive Density (KR), Relative Frequency (FR), Relative Dominance (DR), and Index Significant Value (INP). Plant diversity as a food source for Apis Dorsata Binghami has different types of plants based on their habitus or the characteristics of the plants themselves.
AVALIAÇÃO DA DINÂMICA DE BANCOS DE AREIA COM IMAGENS DE ALTA RESOLUÇÃO NO RIO AREAL DO LIMEIRA, SUL DO BRASIL
Authors: Rademann Lucas Krein , Trentin Romario , Robaina Luís Eduardo De Souza , Breunig Fabio Marcelo
Published: September 2023

A dinâmica de deposição dos rios é determinada pela capacidade de transporte e o volume de sedimentos disponíveis no canal de drenagem. Por vezes as mudanças nesta dinâmica pode ser um indicativo de desequilíbrio ambiental, cabendo a sua análise para auxiliar no planejamento e ordenamento territorial. Desta forma, o trabalho tem como objetivo analisar a dinâmica dos bancos de areia no Rio Areal do Limeira entre os anos de 2009 a 2020 com o auxílio de imagens de alta resolução espacial. A metodologia consistiu no uso de uma série de imagens RapidEye, para a vetorização através de interpretação visual sobre a imagem dos bancos de areia na Bacia Hidrográfica do Rio Areal do Limeira. Posteriormente os dados foram tabulados, analisados em função da dinâmica temporal. Houve uma maior ocorrência de bancos de areia entre os anos de 2009 e 2012, coincidindo com a implementação da silvicultura na área de estudo, seguido de uma acentuada queda até o ano de 2015, e uma pequena alta e estabilização nos anos seguintes, quando as plantações de silvicultura estavam em fase mais madura. De modo geral, a utilização de imagens de alta resolução permitiu identificar os depósitos arenosos fluviais, com uma precisão e qualidade adequados.
METHODOLOGICAL PROPOSAL FOR EVALUATING THE TRANSFORMATION OF URBAN MICROCLIMATE IN MEDIUM-SIZED CITIES: A CASE STUDY IN THE URBAN MESH OF THE MUNICIPALITY OF PARACATU, MINAS GERAIS – BR
Authors: Santos Arthur , Simionatto Henzo
Published: September 2023

This work aims to propose a methodological proposal for areas evaluated with potential for the formation of Urban Heat Islands (UHI). Satellite images were used to control surface temperature (Land Surface Temperature - LST) and the Normalized Difference Vegetation Index (NDVI) of the study area. They were also employed in the Annual Mapping of Land Cover and Land Use in Brazil. The city of Paracatu, Minas Gerais (MG) was chosen for application and validation of the proposed method. Images from LANDSAT-5 and 8 satellites were used, which initially underwent resampling and pixel standardization. Subsequently, LST and NDVI calculations were applied, and these data were compared with use and occupation. In general, it was possible to notice that, in the urban area of Paracatu, there was an increase in the average, minimum and maximum LST. The same space-spectral behavior occurred for the NDVI index, which are related to Land Use and Occupancy Changes (LULC). In relation to areas with potential formation of UHI, it was noted that, in the interval of 14 years, they tripled in the city, making it possible to relate the situation with urban expansion and the presence of new subdivisions in peripheral areas. It was also noted that areas with mitigation potential for UHIs were not planned, especially in the most populous neighborhood of the municipality. The results obtained were satisfactory and the proposed methodology can serve as a basis for municipal decision makers in relation to measures to mitigate urban microclimate.
QUALIDADE AMBIENTAL EM FRAGMENTOS DE EUCALYPTUS SPP. DETERMINADA A PARTIR DE PROCESSOS FUNCIONAIS DA SERAPILHEIRA
Authors: Pinto Winkler José , De Negreiros André Batista
Published: September 2023

O objetivo do estudo foi compreender a influência do cultivo de Eucalyptus spp., sobre a qualidade do ambiente em que está inserido. Para tal, foram utilizadas três áreas amostrais (eucaliptais) e uma área controle, composta por vegetação heterogênea. Foram realizadas, mensurações da perda de massa da serapilheira foliar, testes de capacidade de retenção hídrica (CRH), e, mensuração da concentração de macronutrientes e das frações orgânicas (lignina, celulose e polifenóis) na serapilheira. As amostras de serapilheira da área controle apresentaram coeficiente de decomposição (k) (0,78; 0,82; 0,87) significativamente maiores que as das amostras de Eucalyptus spp. (0,51; 0,52; 0,55). Para a CRH, as amostras provenientes da área controle apontaram valores entre 161% e 339%, com valor médio de 260%. Que foram significativamente maiores que os das áreas de eucaliptais, que variaram entre 72% e 156%, com valor médio igual a 112%. Quanto ao teor dos macronutrientes, para a concentração de N e Mg na serapilheira, as amostras coletadas na área controle apresentaram valores médios significativamente maiores que as amostras das áreas de eucaliptais. Quanto aos teores de lignina e polifenóis, as amostras coletadas nas áreas de eucaliptais apontaram valores significativamente maiores que os apresentados pela área controle. Os resultados obtidos, apontaram para forte correlação estatística entre as concentrações de N, Mg, lignina e polifenóis, no material foliar amostrado, taxas de decomposição e capacidade de retenção hídrica. A decomposição de Eucalyptus spp. apresentou lenta decomposição, fortemente ligada à sua composição química, o que dificulta a ação dos agentes decompositores.
A note on two rare medicinal plants from Arunachal Pradesh
Authors: Balodi Bipin , Baishya Ananta
Published: September 2023

Bergenia purpurascens (Hook.f. & Thomson) Engler is reported after a lapse of more than 50 years from Tawang District and Podophyllum sikkimensis Chatterjee & Mukerjee for the first time from Arunachal Pradesh.
Research advanced in image style transfer based on deep learning
Authors: Gao Yidan , Wang Luyao , You Lechun
Published: September 2023

Image style transfer (IST) aims to combine the style of one image with the content of another to make the resulting image has both the attributes of the style image and the characteristics of the content image. Benefited from rapid developments of deep learning, the methods based on Generative Adversarial Networks (GAN) have greatly improved the accuracy of IST. In this paper, to promote the research of IST based on Convolutional Neural Networks (CNN), some main methods of it are presented. The developments of CNN and GAN are reviewed, and basic principles and techniques of IST based on CNN and GAN are introduced in detail. Moreover, some representative datasets for this task are summarized, then the evaluation metrics and results are presented. Moreover, some problems of current methods are discussed. Finally, application prospects in related fields and future research directions of IST are presented.
Improving the BiLSTM model performance for tweet sentiment analysis
Authors: Dong Jiaheng
Published: September 2023

Twitter is a microblogging website where users can publish brief entries known as tweets. These tweets can occasionally reveal the users' attitudes and feelings. This paper analyses three emoticon processing methods with the BiLSTM model to discover the efficiencies of different methods in helping deep learning models classify tweet sentiments. Firstly, the simply removing method, the replacing with description text method, and the replacing with predefined sentiment method are established. Then the BiLSTM model is used to train and test with different methods on the Sentiment140 dataset. The performances of all models are evaluated by accuracy, F1 score, precision score, and recall score. The experimental results show that the replacing with predefined sentiments method provides the highest accuracy which is 0.84. The simply removing method also produces the testing accuracy as 0.84, but it performs worse in the last epoch, the training and validation accuracy, and the training and validation loss. The replacing with description text method produces the worst accuracy which is 0.83. It indicates that predefining the most possible sentiments of the popular emoticons has a reliable efficiency in optimizing the performance of deep learning models when the tweets with emoticons take a small proportion.
Dithering techniques and segmentation analysis on a mammogram breast cancer image
Authors: S. Saravanan , R. Aravind Britto K. , M. Sandeep Kumar , J. Prabhu , E. Sathishkumar V.
Published: September 2023

The objective of the publishing industry is to minimize the number of colors in an image for printing. Also, to retain the better quality from the picture, some useful techniques are needed with the aid of only a few colors. The contouring consequences occur when an image quantized bluntly regardless of the quantization, either uniform or non-uniform. To alleviate the issues of contouring, a slight amount of random noise is added (dithered) to the original image, followed by the quantization method. The methods such as dithering and half toning are extensively used strategies in acquiring texts and pictures in books, newspapers, magazines, computer monitors, and LCDs. This article investigates the dithering technique on a mammogram image with different procedures, such as dithering followed by quantization and dithering, quantization followed by filtering are detailed with Mean Square Error (MSE) and Peak Signal-to-Noise Ratio (PSNR) results. For better visualization, segmentation techniques are applied to the dithering technique.
Spam/Ham email classification using BERT
Authors: Zhang Siwei
Published: September 2023

Email is a popular method for communicating with each other. However, as sending email is free of charge as long as an email server and a domain name are available, spam mail is becoming a critical problem in the email network. Conventionally, the industry uses spam filters based on rules and Bayesian inference to counteract spam mail, reaching an accuracy of 98.76%, which is far from satisfactory. Hence, to better protect email users from unsolicited messages containing advertisements, sensitive content, phishing content, and viruses, a new approach is proposed, in which email content is filtered by a spam detector using bidirectional encoder representations from transformers (BERT). BERT is a new language representation model published by Google that has achieved great success because of its powerful capabilities in understanding natural language. After the model is trained on a corpus from Kaggle, the spam detector equipped with the BERT model reaches a binary accuracy of 99.40% when classifying spam mail.
Analysis of the attack effect of adversarial attacks on machine learning models
Authors: Su Guanpeng
Published: September 2023

The use of neural networks has produced outstanding results in a variety of domains, including computer vision and text mining. Numerous investigations in recent years have shown that using adversarial attacks technology to perturb the input samples weakly can mislead most mainstream neural network models, for example Fully Connected Neural Networks (FCNN) and Convolutional Neural Networks (CNN), to make wrong judgment results. Adversarial attacks can help researchers discover the potential defects of neural network models in terms of robustness and security so that people can comprehend the neural network models' learning process better and solve the neural network models' interpretability. However, suppose an adversarial attack is performed on a non-deep learning model. In that case, the results are very different from the deep learning model. This paper first briefly outlines the existing adversarial example technology; then selects the CIFAR10 dataset as the test data and LeNet, ResNet18, and VGG16 as the test model according to the technical principle; then uses the Fast Gradient Sign Attack (FGSM) method to conduct attack experiments with the CNNs and traditional machine learning algorithms like K-Nearest Neighbors (KNN) and Support Vector Machine (SVM); then analyze the experimental results and find that the adversarial example technology is specific to the deep learning model, but it cannot be completely denied that adversarial examples have no attack effect on traditional machine learning models.
Research of feature matching algorithm on panoramic mosaic
Authors: Guo Ruyan , Xiao Baiyi , Zhang Shilun
Published: September 2023

Focusing on the application problem according to feature matching and panoramic image stitching, comparing direct stitching and smoothing after feature matching algorithms. Through time performance, synthesis accuracy, and synthesis efficiency, comprehensively compared their effects of synthesizing panoramic images to find a better solution for panoramic splicing. In the study, there are three groups of image pairs with parallax and brightness contrast, then use SIFT algorithm to conduct feature point and matching feature point. The RANSAC algorithm obtains the homograph matrix and completes the panoramic image direct splicing and smoothing test through the matrix transformation. Because of the luminance difference, the panoramic picture after direct splicing will show more obvious light and dark. Though the smoothing treatment could be performed rigidly in the light and dark difference, the deformation, and heavy shadow are easier produced when the disparity and brightness difference are large.
The advance of neural ordinary differential ordinary differential equations
Authors: Li Haoxuan
Published: September 2023

Differential methods are widely used to describe complex continuous processes. The main idea of ordinary differential equations is to treat a specific type of neural network as a discrete equation. Therefore, the differential equation solver can be used to optimize the solution process of the neural network. Compared with the conventional neural network solution, the solution process of the neural ordinary differential equation has the advantages of high storage efficiency and adaptive calculation. This paper first gives a brief review of the residual network (ResNet) and the relationship of ResNet to neural ordinary differential equations. Besides, his paper list three advantages of neural ordinary differential equations compared with ResNet and introduce the class of Deep Neural Network (DNN) models that can be seen as numerical discretization of neural ordinary differential equations (N-ODEs). Furthermore, this paper analyzes a defect of neural ordinary differential equations that do not appear in the traditional deep neural network. Finally, this paper demonstrates how to analyze ResNet with neural ordinary differential equations and shows the main application of neural ordinary differential equations (Neural-ODEs).
Collaborative filtering method based on graph neural network
Authors: Wang Chaoyi
Published: September 2023

An essential component of contemporary computer application technology is the recommender system. The collaborative filtering is one of RS's most crucial elements. acquiring knowledge about vector representations or, the model benefits from the combination of the graph neural network and model-based collaborative filtering since it can calculate the high-order connectivity in the item-user graph and perform better overall. This connectivity successfully and explicitly introduces the collaboration signal into the embedding process. Therefore, better embeddings also imply greater performance compared to more established collaborative filtering techniques, such as matrix factorization. The neural graph collaborative filtering (NGCF) algorithm will be primarily introduced in this article. In this paper, the performance of the NGCF algorithm is verified on several data sets, and the experimental results show that there is still room for improvement in the process of practical application. For instance, the NGCF algorithm is not appropriate for processing complicated data, and user cold start is an issue. This study offers a remedy for the difficulties the NGCF algorithm ran into in real-world use. Research on how to enhance the NGCF algorithm considering the issues will continue.
An integrated functionality framework for robust video streaming heterogeneous networks
Authors: Kirubha D. , E. Sathishkumar V. , V. Baiju B. , V. Maheshwari , M. Prasanna
Published: September 2023

Video streaming is one of the drastically growing applications and more researchers are focused on their researchers in same. All over the world, the cost of video streaming process is increased up to 37$ billion. Even though video streaming process meets various problems like time, Bit Rate Error (BER) and buffers usage with cost. To provide solution to the above issues, this paper proposed an integrated framework to provide a video streaming method by increased Quality of Service (QoS). The proposed framework integrates (Integrated Framework IF) a popular standard named H.264/AVC video coding and efficient QoE prediction on similar frames in the video. Using the framework, a QoS based video streaming method is proposed, whereas the packet loss is reduced significantly including extra BER value for the channel coding. From the simulation results it is illustrated that high flexibility and efficacy of the proposed framework is more effective in terms of preventing from frequent loss of frames.
Research on environment parameter perception of autonomous vehicle based on multi-vision machine vision
Authors: Zhang Youwen
Published: September 2023

The current environmental parameter perception method of some autonomous vehicles has the problem that the MOTA (Multiple Object Tracking Accuracy, This measure combines three error sources false positives, missed targets and identify switches) value is too low. A multi-vision machine vision based environmental parameter perception method of autonomous vehicles is designed. The expected distance between the vehicle and the vehicle in front was calculated. The driving data was collected based on multi-eye machine vision, and the target motion process was divided into several infinitesimal sampling cycles. The data preprocessing process of autonomous vehicle was optimized, the relationship between reaction distance and reaction time was described, and the environmental parameter perception method was designed. Experimental results show that the MOTA mean value of the environmental parameter perception method of the autonomous vehicle in this paper is 84.63%, indicating that the environmental parameter perception method of the autonomous vehicle designed with the combination of multi-vision machine vision technology has high accuracy.
Maze solving problem using q-learning
Authors: Xu Chengcong
Published: September 2023

In the recent years, a number of research initiatives have employed q-learning. Because of its straightforward logic of assigning a corresponding action to each potential state, it is the most widely used reinforcement learning technique. In our research, we found a way to expedite the training process for the agent. A simple environment was used, a frozen lake. The goal for the agent is to reach the destination by avoiding obstacles after a series of training. A reasonable example was showed in this research. The basic environment and agent were created in Python, and the basic form of Q-learning was utilized. We implemented a q-learning algorithm to solve a 4x4 frozen lake and a complex 8x8 frozen lake. The results showed that the training process takes a long time and is different in more complex environments. We assume there is an exploration-exploitation tradeoff that can speed up the training process. In this way, we define a new parameter, epsilon, which is used to balance the agent during the training process. Also, among methods of exploration-exploitation tradeoff, exponential decay performs better than linear decay.
Physician engagement in quality improvement: A cross-sectional study
Authors: Shea Christine , Perrier Laure , Prokopy Melissa , Herbert Monique , Sodhi Sundeep , Karsan Alia , Simard Julie , Perreira Tyrone
Published: September 2023

Objective: The positive impact of quality improvement (QI) on organizational and system outcomes has the potential to contribute to a high-performing health system. Physician engagement in QI has been linked to the success and sustainability of improvement initiatives. An informed overview of physicians’ interests in QI, opportunities to be involved in QI efforts, and insights into physicians’ experiences of participation, both in hospital and general practice is critical to understanding the challenges and opportunities for physician engagement in QI. The purpose of this study was to gain insight into both the number of physicians currently trained and participating in QI and identify key barriers preventing physicians from being trained and participating in QI.Methods: A cross-sectional online survey was used to evaluate physician engagement in QI. A total of 231 physicians across Ontario, Canada, participated in the study.Results: Results indicate that leadership should continue to make Quality Improvement (QI) training opportunities available to physicians.Conclusions: If more physicians are to be engaged in QI, there is a need to clearly identify and communicate opportunities for QI projects.