bluuebunny/crossref_metadata_2025 huggingface dataset:
ANTIBACTERIAL ACTIVITY OF EXTRACTS OF LEAVES OF LEILEM (Clerodendrum minahassae Teijsm. & Binn.) ON GROWTH GRAM - POSITIVE BACTERIA Staphylococcus aureus strains ATCC 25923
Authors: Raturandang Jefry Oldy , Pendong Dintje , Wurarah Masje
Published: September 2023

Leaf leilem (Clerodendrum minahassae Teism. & Binn.) commonly used by the Minahasa as food and traditional medicine for treating intestinal worms, abdominal pain, and pain in the chest. Gram-positive bacteria Staphylococcus aureus ATCC 25923 strain is a type of bacteria that is found in humans and can be the cause of the emergence of the disease. This research aims to know the types of solvents are most effective and how the antibacterial activity of extracts of leaves of leilem on the growth of the bacteria Staphylococcus aureus strains ATCC 25923. The solvent used is ethanol is polar, ethyl acetate which is semi polar, and n-heksan which is non polar. Preliminary research has been conducted on konsenterasi extract with 100 ppm 200 ppm 400 ppm and 800 ppm, the antibacterial activity of the most optimal at 800 ppm so the data will be used for the analysis in this study was konsenterasi 800 ppm. Deuteronomy was done by as much as 3 times. Positive control using antibiotics clindamicyn 400 ppm and negative controls using aquades and 10% DMSO. Isolation of bacteria using scratch in zig-zag and to test the antibacterial activity of using diffusion well in order. Results of the study showed that the percentage yield of solvent is ethanol that is 1,2329% in maceration 1:4. Drag the diameter of most bacteria are grown on ethyl acetate extract polar spring with a grade average of 12.6 mm. Based on the analysis of OneWay ANOVA showed different results for real then followed by Tukey test, to see that these three types of different extract significantly in inhibiting the growth of gram positive bacteria Staphylococcus aureus strains ATCC 25923. In conclusion, namely the first ethanol is a solvent that is most effective in dissolving the leaves leilem, both of the antibacterial activity in sequence from the most minor to the most massive is the n-heksan (non-polar), ethanol (polar), and ethyl acetate (semi polar). The third conclusion in the optimum konsenterasi 800 ppm, extract n-heksan n-heksan (non-polar), ethanol (polar), and ethyl acetate (semi polar) showed antibacterial activity significantly different.
Effectiveness Test of Tome-tome Fruit Ethanol Extract (Flacourtia inermis,Roxb) against Antidiabetes in White Rats (Rattus norvegicus) Induced by Alloxan
Authors: Jacob Fricilia Leony Mey , Tanor Meity Neltje , Manampiring Nonny
Published: September 2023

Diabetes mellitus is a chronic metabolic syndrome disorder of carbohydrates, lipids, and fats caused by insulin deficiency in the body causing blood glucose above the normal threshold (hyperglycemia). Tome-tome (Flacourtia inermis, Roxb) contains anthocyanins which have the ability to lower blood sugar levels. This study aimed to determine the effectiveness of the ethanolic extract of tome-tome fruit (Flacourtia inermis, Roxb) and to see what dose and day treatment was most effective against diabetes in white rats (Rattus norvegicus) induced by alloxan. The place of research was carried out at the Pharmacy Laboratory of Trinita University, Manado with a research time of 3 months. The test animals used were 25 white rats (Rattus norvegicus) divided into 5 treatment groups, namely normal control, negative control, positive control (glibenclamide) and ethanol extract of tome-tome fruit with doses of 150 mg/kgBW and 300 mg/kgBW. Blood glucose measurements were carried out on day 1, day 7, and day 14. The results showed that the effectiveness of tome-tome fruit ethanol extract against alloxan-induced diabetic rats decreased blood glucose levels. A dose of 150 mg/kgBW ethanol extract of tome-tome fruit was more effective in reducing blood glucose levels compared to a dose of 300 mg/kgBW rats.
DESCRIPTION OF NUTRITIONAL STATUS IN ELEMENTARY SCHOOL STUDENTS: A CASE STUDY OF SD GMIM 65 WINURI, EAST LIKUPANG DISTRICT, NORTH MINAHASA REGENCY
Authors: Mege Revolson Alexius , Helena Maria , Djafar Sintia , Weken Megawati , Polandos Maiko , Manampiring Nonny
Published: September 2023

Nutrition plays an important role in the human life cycle from fetus to the elderly. Malnutrition in infants and toddlers can cause growth and development disorders that continue into adulthood if not treated early. Good quality of children can be achieved by ensuring that the process of child development is also good. Growth is quantitative, such as height, weight, and head circumference, and development is the gradual change and improvement of abilities, such as movement, sensory, language, and social abilities. This research was conducted at SD GMIM 65 Winuri. The sample of this study were all elementary school children at SD GMIM 65 Winuri. The results showed that the most common age characteristics of the respondents were 7 years old by 20%, the sex characteristics were mostly male by 52%. Nutritional status based on body mass index (BMI) according to age, respondents have less nutritional status by 18%, normal nutritional status by 50%, overweight status by 14%, nutritional status of obesity I by 8%, and nutritional status of obesity II by 10%.
ANTAGONIST, ANTIBACTERIAL ACTIVITY OF Stapylocossus aureus AND ISOLATE OF ORAL BACTERIA FROM THE ENDOGENOUS FUNGUS Apis dorsata BINGHAMI NEST
Authors: Rombot Dina , Adil Ellen , Walean Mario , Bastian Virjinia
Published: September 2023

Apis dorsata Binghami is a honey bee endemic to Indonesia, living naturally in the forests of Sulawesi. This study aimed to obtain isolates and characteristics of endogenous fungi antibiotic activity from Apis dorsata Binghami nest. The study consisted of isolation of fungi from beehives using potato dextro agar, pure culture of fungi, antagonist test and antibiotic test using disc diffusion method. Antibiotic test was performed on oral bacteria and Staphylococcus aureus. The results obtained six fungal isolates from Apis dorsata Binghami's nest, namely isolates FAB1, FAB2, FAB3, FAB4, FAB5 and FAB6. The results of the antagonist test showed that the isolates FAB1, FAB2, FAB3, FAB4 and FAB5 were antagonistic. The results of the antibacterial test showed that all isolates produced an average bacterial growth inhibition of 17-18 mm on Staphylococcus aureus and isolates of oral bacteria. The inhibition zone lasts up to 3 x 24 hours so that the activity of the bacteria is bactericidal. From the results of this study, it can be concluded that the endogenous fungus Apis dorsata Binghami is a potential source of antibacterial bioactives.
POTENTIAL ANTIBACTERIAL EXTRACTS OF MANGROVE GENUS AVICENIA ROOT AND LEAVES FROM KOMBI BEACH MINAHASA
Authors: Wurarah Masje , Kalitouw Devitha , Gerungan Raflen Aril
Published: September 2023

This study aimed to obtain the phytochemical content of the crude extract of leaves and roots of Avicenia spp from Kombi Beach Minahasa. Obtaining data on the activity of inhibiting the growth of infective microbes on external wounds of crude extract of leaves and roots of Avicenia spp from Kombi Beach, Minahasa. To determine the concentration of minimum growth inhibition of crude extract of leaves and roots of Avicenia spp from Kombi Beach, Minahasa. Knowing the crude extract (crude extract) leaves and roots of Avicenia spp originating from the Minahasa Kombi Beach is bactericidal or bacteriostatic. This research consisted of extraction, phytochemical analysis and antibacterial activity test. The results showed that the dominant secondary metabolites in the root and leaf extracts were alkaloids, flavonoids, saponins and tannins. The chloroform extract inhibited the growth of bacteria in infected wounds more than the ethanol and n-hexane extracts, at concentrations of 15 and 30 ppm for the test solution of ethanol extract with an inhibitory diameter of < 7 mm and a concentration of 50 ppm with an inhibitory diameter of > 10 mm indicating that the high bioactive activity antibacterial.
ANTIBACTERIAL ACTIVITY OF CHLOROFORM EXTRACT AND RHIZOPHORA SPP LEAVES METHANOL EXTRACT ON MOUTH BACTERIA
Authors: Manuahe Carolin , Sumampouw Herry , Montolalu Friska
Published: September 2023

The purpose of this study was to obtain the phytochemical profile of the methanol and chloroform extracts of the leaves of Rhizophora apiculata and to find the antibacterial activity of the methanol and chloroform extracts against human oral bacteria. This research was carried out in 3 stages, namely Rhizopora spp. Leaf Sampling, Extraction and Analysis of Secondary Metabolite Content and Antibacterial Activity Test using the agar diffusion method. Based on the results of the phytochemical screening examination of the leaf extract of Rhizopora spp., the results showed that it was rich in chemical compounds of alkaloids, flavonoids, tannins, and saponins in both methanol extract and chloroform extract. The results of the antibacterial activity test of methanol extract obtained that the smallest concentration in bacterial isolate bacteria 2 was 30 mg/ml, while the smallest concentration in bacterial isolate 1 was 50 mg/ml. The results of the antibacterial activity test of the chloroform extract obtained that the smallest concentration in the bacterial isolate bacteria 2 was 20 mg/ml while the smallest concentration in the bacterial isolate 1 was 30 mg/ml. Both methanol extract and chloroform extract had better activity on gram-positive bacteria.
BIOLOGY OF YELLOW SELAR FISH (Caranx leptolepis) AND ICE PRESERVED PROTEIN, LIPID AND CARBOHYDRATE CONTENT
Authors: Raturandang Jeffry , Rogahang Femmy , Tuju Fandi
Published: September 2023

Yellow Selar fish (Caranx leptolepis) as pelagic fish are mostly caught by fishermen in North Sulawesi. However, from observations and preliminary research, fishermen often do not pay attention to fish sustainability because even small fish are caught. This is motivated by the lack of knowledge of fishermen and the lack of research on yellow selar fish in Sulawesi. Research has been carried out with the aim of obtaining the Biological Characteristics of Yellow Selar fish caught by fishermen in North Sulawesi. Obtaining the biochemical characteristics of selar kuning fish (macronutrient content). The results that have been achieved: The average total length of Caranx leptolepis without distinguishing males and females is 180 mm and weighs 90 gr. Fish gonad maturity index is between 1.02 to 1.90. From the stomach contents that we observed, the types of food eaten included small fish and shrimp. A total of 96% of small fish and 4% of shrimp were found in the stomach contents of the slugs that were analyzed. Protein and Fat content of Selar fish decreased with the length of storage time using ice. However, the carbohydrate content remained relatively unchanged. The best storage time for tude on ice is 48 hours. More than 48 hours there is a very significant decrease in protein and fat content.
PHYTOCHEMICAL ANALYSIS OF BITUNG TREE SEEDS (Baringtonia asiatica L.)
Authors: Maliangkay Hendra Pratama , Rumondor Rolef , Walean Mario
Published: September 2023

This study aims to obtain data on the phytochemical content of the methanol extract of Baringtonia asiatica. Obtain data on the phytochemical content of the B. asiatica clorform extract. This research was carried out in the Biology laboratory and Chemistry Laboratory, State University of Manado. The study consisted of extraction and phytochemical analysis using the Harborne method, the results showed that from the extraction process the highest yield was obtained in extracts with n-hexane solvent, then chloroform and methanol. The results of phytochemical analysis show that saponins are the phytochemical group with the strongest intensity found compared to other phytochemical groups. Furthermore, flavonoids were found in high intensity also in the analyzed samples.
IDENTIFIKASI MOLEKULER BAKTERI PUPUK ORGANIK SISTIM BIOPORI MENGGUNAKAN GEN 16S rRNA
Authors: Pangerapan Feren , Simanjuntak Suddin , Kamagi Decky
Published: September 2023

Bakteri dari pupuk organik sistim biopori masih perlu ditentukan kedudukan dalam klarifikasi bakteri. Untuk itu perlu dilakukan identfikasi pada tingkat spesies menggunaan analisis sekuen gen 16S rRNA. DNA bakteri dari pupuk organik sistim biopori di ekstrak untuk di identifikasi secara molekuler menggunakan gen 16S rRNA. Isolat yang diperoleh berasal dari sampel pupuk organik sistim biopori. Bakteri di isolasi pada media NA dengan metode tabur dan di inkubasi pada suhu kamar selama 2x24 jam. Isolate yang tumbuh pada media NA diekstrasi menggunakan Presto Mini gDNA Bacteria KIT. Amplifikasi gen 16S rRNA dengan metode PCR, visualisasi amplikon gen 16S rRNA dengan metode elektroforesis, Amplifikasi DNA target dilakukan dengan menggunakan primer 16sA dan 16sB2. Amplicon-amplikon dielektroforesis menggunakan gel agarose 1,6 dengan DNA Ladder 500-1500bp. Sekuensing menggunakan jasa sekuensing First Base Singapura. Hasil analisis penyelarasan menggunakan program BLAST (www.ncbi.nih.gov.com) 16S rRNA urutan isolat bakteri pupuk organik bp4 sistim biopori menunjukkan kemiripan 98% dengan Bacillus cereus strain MH19 (nomor tambahan CP039269.1). Hasil rekonstruksi filogeni dengan Neighbour Joining, urutan gen 16S Rrna isolate bp4 menunjukkan hubungan terdekat dengan Bacillus cereus strain MH19 (nomor tambahan CP039269.1).
POPULATION DIVERSITY BASED ON MORPHOMETRIC MERISTIC ENDEMIC BUTINI FISH (Glossogobius matanensis) IN LAKE TOWUTI, SOUTH SULAWESI
Authors: Mamangkey Jefry Jack , Satiman Utari , Taulu Stella
Published: September 2023

Butini fish is a resource wealth of fauna found only in the East Complex Malili Luwu, South Sulawesi. The necessary information about the morphological characters (morphometric and meristic) to determine the management of fish resources. The purpose is to assess the diversity of populations based on morphometric meristik. Sampling is based on descriptive methods and fish samples taken to determine the diversity of phenotypes based on the depth of each morphometric character. Calculating morphometric characters using the main component analysis to obtain the correlation between the character and the grouping of individuals based on morphometric characters. Calculation meristik characters include the number of fingers, the number of fins and scales, namely the number of fingers of the dorsal fin, anal fin radius, the radius of the ventral fin, pectoral fin radius, the radius of the caudal fin, scales on the rib line, scales above the rib line, scales below the ribs, scales in front of the dorsal fins, scales on the cheeks, around the body scales, scales around the tail shaft. The analysis showed that the first two principal components contained the greatest information, with a cumulative range of 80%. All the characters' morphometric first role is a major component. The character who plays the main component of the length of the head in front of the eyes, long upper jaw, lower jaw length, high cheeks, and the length of the radius of a weak base ventral fins showed great correlation to the diversity of forms. Main components analysis also showed that butini fish, at any depth, showed no grouping. This suggests that the fish species observed was one (one unit of population). In calculating the value of phenotypic diversity of each character, butini generally fish in the lake Towuti show morphometric characters with the highest diversity value and the lowest given by the total length and high under the eyes. In the calculation of the formula derived characters meristik flipper fingers that D1, V-VI. D2. I, 8-11; dan D1, V-VI, D2. I, 8-10.
ENVIRONMENTAL QUALITY IN EUCALYPTUS SPP. PLANTATIONS DETERMINED FROM FUNCTIONAL PROCESSES OF ITS LITTER
Authors: Pinto Winkler José , Negreiros André Batista de
Published: September 2023

The objective of the study was to understand the influence of Eucalyptus spp. cultivation on the quality of the environment in which it is inserted. For this, three sampling areas of eucalyptus plantations and a control area composed of heterogeneous vegetation. Measurements of leaf litter mass loss, water retention capacity (WRC) tests, and measurements of the content of macronutrients and organic fractions (lignin, cellulose and polyphenols) were carried out in the litter. The litter samples from the control area showed a decomposition coefficient (k) (0.78; 0.82; 0.87) significantly higher than the samples from Eucalyptus spp. (0.51; 0.52; 0.55). For WRC, samples from the control area showed values between 161% and 339%, with an average value of 260%. These were significantly higher than those in the eucalyptus areas, which varied between 72% and 156%, with an average value equal to 112%. As for the content of macronutrients, for the concentration of N, Mg and S in the litter, the samples collected in the control area showed average values significantly higher than the samples from the eucalyptus areas. Regarding the contents of lignin and polyphenols, the samples collected in the eucalyptus areas showed significantly higher values than those presented by the control area. The results obtained showed a strong statistical correlation between the contents of N, Mg, lignin and polyphenols in the sampled leaf material, decomposition rates and water retention capacity. The decomposition of Eucalyptus spp. presented slow decomposition, strongly linked to its chemical composition, which hinders the action of decomposing agents.
CARACTERIZAÇÃO DE PERFIS LONGITUDINAIS DE RIOS APLICADA AO ESTUDO DA INFLUÊNCIA MORFOESTRUTURAL E MORFOTECTÔNICA NO RELEVO DO SETOR CENTRAL DO PLANALTO DAS ARAUCÁRIAS – SUL DO BRASIL
Authors: Lima Jacson Gosman Gomes de , Pontelli Marga Eliz , Santos Matos Andréa Cristina Lima dos
Published: September 2023

Realizou-se análise de perfis longitudinais nos rios do setor central do Planalto das Araucárias, visando contribuir para o entendimento da influência morfoestrutural e morfotectônica no relevo. Imagens de radar foram utilizadas para extração da rede drenagem e curvas de nível. Foram considerados canais acima de 4ª ordem, nos quais plotou-se formações e estruturas geológicas. Os resultados mostraram que rios sobre única litologia são mais equilibrados, tendo rupturas de declive (knickpoints) menos acentuadas. Já aqueles com maior diferenciação litológica apresentam menor equilíbrio do canal e knickpoints mais acentuadas. Fatores estruturais também são importantes, pois as principais quebras nos rios associam-se a lineamentos (70%). Os trechos em ascensão e subsidência ao longo dos rios tem forte correlação com estruturas geológicas (52%), sendo mais expressiva na bacia do rio Chapecó (72%). Isso sugere que a área de estudo esteve sujeita a influência morfoestrutural e morfotectônica, sendo a bacia do Chapecó a mais afetada.
VETORES DE DEGRADAÇÃO DAS PASTAGENS NO CERRADO DO NORTE MINEIRO – MINAS GERAIS - BR
Authors: Pereira da Silva Lucas Augusto , Sena-Souza João Paulo , Pereira de Souza Cristiano Marcelo , Silva Claudionor Ribeiro , Bolfe Edson Luis , Chagas-Reis Carolina Cabral , Leite Marcos Esdras
Published: September 2023

O Cerrado é o bioma brasileiro é uma região estratégica para a pecuária, com alta concentração de pastagens e rebanho bovino. Aproximadamente 30% das pastagens do Cerrado possuem algum grau de degradação, essencialmente em regiões semiáridas. O norte do estado de Minas Gerais retrata bem este contexto. Portanto, a identificação dos vetores de degradação é vital para o planejamento agroambiental. O objetivo desse trabalho foi elaborar um modelo para avaliação os vetores da degradação das pastagens no Cerrado norte mineiro. A estrutura metodológica foi baseada em: I) mapeamento do índice de degradação de pastagens (IDP) por meio de técnicas de sensoriamento remoto, II) montagem de um banco de dados com variáveis preditoras representando os aspectos socioeconômicos, de relevo e climáticos, e III) elaboração de um modelo para avaliação dos vetores da degradação das pastagens com regressão linear múltipla. O mapeamento de IDP mostrou que todos os municípios do Cerrado norte mineiro apresentam algum grau de degradação. 18 municípios (21%) possui pasto moderadamente degradados e 66 (79%) com níveis leves. O modelo elaborado mostrou que a degradação das pastagens no norte de Minas Gerais pode ser explicada por vetores climáticos, especificamente por temperatura do ar, sazonalidade da precipitação e precipitação anual (R² = 0.50, valor-p < 0.001). O manejo das pastagens na região deve considerar esses aspectos ambientais, objetivando uma pecuária mais sustentável no Cerrado norte mineiro.
CHARACTERIZATION OF LONGITUDINAL PROFILES OF RIVERS APPLIED TO THE STUDY OF MORPHOSTRUCTURAL AND MORPHOTECTONIC INFLUENCE IN THE RELIEF OF THE CENTRAL SECTOR OF THE ARAUCARIA PLATEAU - SOUTHERN BRAZIL
Authors: Lima Jacson Gosman Gomes de , Pontelli Marga Eliz , Santos Matos Andrea Cristina Lima dos
Published: September 2023

Longitudinal profiles were analyzed in the rivers of the central sector of the Araucaria Plateau, aiming to contribute to the understanding of the morphostructural and morphotectonic influence on the relief. Radar images were used to extract the drainage network and contour lines. Channels above the 4th order were considered, in which geological formations and structures were plotted. The results showed that rivers on a single lithology are more at equilibrium, or graded, with less pronounced slope breaks (knickpoints). Those with greater lithological differentiation, on the other hand, have less channel balance and more marked knickpoints. Structural factors are also important, as the main breaks in rivers are associated with lineaments (70%). The sections in ascension and subsidence along the rivers have a strong correlation with geological structures (52%), being more expressive in the Chapecó River basin (72%). This suggests that the study area was subject to morphostructural and morphotectonic influence, with the Chapecó basin being the most affected.
PROPOSTA METODOLÓGICA PARA AVALIAÇÃO DA TRANSFORMAÇÃO DO MICROCLIMA URBANO EM CIDADES DE PORTE MÉDIO: UM ESTUDO DE CASO NA MALHA URBANA DO MUNICÍPIO DE PARACATU, MINAS GERAIS
Authors: Santos Arthur , Simionatto Henzo
Published: September 2023

A supressão da vegetação para o incremento de áreas construídas intensifica os efeitos da urbanização e ocasiona alterações no microclima. Portanto, esta pesquisa elabora uma proposta metodológica para avaliar áreas com potencial de formação de ilhas de calor urbana. Foram utilizadas imagens de satélite para verificar a temperatura superficial e o índice NDVI da área de estudo. Também foram empregados dados de uso e ocupação do Mapbiomas. A cidade de Paracatu, localizada no Cerrado brasileiro, foi a escolhida para aplicação e validação do método proposto. Utilizou-se imagens dos satélites LANDSAT-5 e LANDSAT-8, que, inicialmente, passaram por uma reamostragem e padronização dos pixels. Posteriormente, foram aplicados os cálculos de temperatura da superfície e do NDVI, sendo esses dados, comparados com o uso e ocupação. De forma geral, foi possível notar que houve, na cidade, um aumento da temperatura superficial média, mínima e máxima. O mesmo comportamento espaço-espectral se deu para o NDVI, sendo esses, relacionados com as mudanças de uso e ocupação da terra. Em relação às áreas com potencial formação de ilhas de calor urbana, notou-se que essas, em um intervalo de 14 anos, triplicaram, sendo possível relacionar a situação com a expansão urbana e a presença de novos loteamentos em áreas periféricas. Notou-se também que as áreas com potencial de mitigação para com essas não foram planejadas, principalmente no bairro mais populoso do município. Os resultados obtidos mostraram-se satisfatórios e a metodologia proposta poderá servir de base para os gestores públicos em relação às medidas mitigadoras do microclima urbano.
THE STUDY OF SOIL EROSION UNDER A SYSTEMIC CONCEPTION
Authors: Borges Neto Inocencio De Oliveira , Santos Leonardo José Cordeiro , Suertegaray Dirce Maria Antunes , Xavier Rafael Albuquerque
Published: September 2023

This article aimed to understand how erosion processes can be analyzed from a systemic point of view. Soil erosion is considered here a naturally occurring phenomenon, which can be (and usually is) influenced by human activities, constituting one of the main environmental problems of the planet, in addition to being the main modeling agent of the terrestrial surface. The consequences of the accelerated action of erosion processes are numerous, such as: reduction of natural fertility and productive capacity of soils; silting and pollution of water bodies; impoverishment of rural communities; rural exodus; among many others. Understanding the dynamics of this phenomenon becomes fundamental because a comprehension of a spatio-temporal scope, coupled with the knowledge of the possible problems that may occur with its accelerated performance, provides support for the development of sustainable management.  Given that soils are the 'foundation' of the fauna, flora, and mainly of human subsistence, it is a valuable resource. The analytical procedures of this manuscript followed the construction of a system based on a case study, exemplifying how the systemic approach can be developed in the studies of erosive processes. By analyzing soil erosion from a systemic approach, it was possible to observe how the different flows of matter and energy occurred between the variables, explain the importance of understanding erosion processes in an integrated way, and avoid fragmented and reductionist interpretations.
NOTA EDITORIAL - V.57
Authors: Sampaio Tony Vinicius Moreira
Published: September 2023

Nota Editorial
Xác định cường lực và sản lượng khai thác bền vững tối đa nguồn lợi thuỷ sản tại Đầm Nại, tỉnh Ninh Thuận
Authors: Vũ Kế Nghiệp , Nguyễn Trọng Lương
Published: September 2023

Bài báo thể hiện thực trạng về cường lực và sản lượng khai thác thuỷ sản tại đầm Nại, tỉnh Ninh Thuận. Nghiên cứu đã sử dụng chuỗi số liệu sản lượng và cường lực khai thác của nghề lưới rê 3 lớp, lờ dây, câu vàng, đáy và nghề te hoạt động tại đầm Nại từ năm 2012-2016. Bằng mô hình Schaefer đã xác định được sản lượng khai thác bền vững tối đa (MSY) và cường lực khai thác bền vững tối đa (fMSY) của 5 loại nghề hoạt động khai thác NLTS tại đầm Nại là 280 tấn. Trong đó, nghề lưới rê 3 lớp có MSY là 211,8 tấn và fMSY là 152,169 ngàn mét lưới; nghề lờ dây có MSY 28,6 tấn và fMSY là 2,61 ngàn dây lờ; nghề câu vàng có MSY là 8 tấn và fMSY là 2,603 ngàn lưỡi câu; nghề đáy có MSY là 22,4 tấn và fMSY là 8 miệng đáy và nghề nghề te có MSY là 9,5 tấn tương ứng fMSY là 25 miệng te. Kết quả nghiên cứu chỉ ra rằng nghề lưới rê 3 lớp đã khai thác hết 65,2% sản lượng hợp lý và dư thừa 64,6% cường lực, nghề câu vàng đã khai thác hết 70,4% sản lượng hợp lý và dư thừa 22,2% cường lực, nghề lờ dây đã khai thác hết 56,0% sản lượng hợp lý và dư thừa 61,4% cường lực, nghề lưới đáy đã khai thác hết 67,5% sản lượng hợp lý và dư thừa 37,5% cường lực.
Cranes of Madhav National Park
Authors: Saxena Rajiv
Published: September 2023

This report explains the status of cranes in Madhav National Park in Madhya Pradesh, India. India has 6 species of cranes out of the 15 found in the world.
Wintering Black Necked Cranes in India
Authors: Gole Prakash
Published: September 2023

This article reports the (re) discovery of wintering black necked cranes in the Apa Tani Valley of Arunachal Pradesh
ASSOCIATION OF RULA AND UPPER LIMB MUSCULOSKELETAL PAIN IN FINE ARTS STUDENTS
Authors: MATEEN A , NADIR F , QASIM F , ALTAF F , IMTIAZ R , FATIMA K , IRFAN M , BUTT AF , RAFIQUE H , ASLAM I
Published: September 2023

This study aimed to investigate the relationship between RULA and upper limb musculoskeletal pain in fine arts students. The research was conducted in Lahore, Pakistan, and involved 250 students from various universities, including NCA, BNU, PU, and GC University. To assess ergonomics, RULA was used, while the Nordic Musculoskeletal Questionnaire (NMQ) was used to evaluate pain. The data was analyzed using SPSS v20, and the Chi-square test was used to determine the association between RULA and upper limb musculoskeletal pain. The results revealed that shoulders were the most common area of pain reported by students in the last 12 months (68%) and last 7 days (60%), followed by wrist/hand pain (66% and 55.2%, respectively). The Chi-square value showed a significant association between RULA Score and Shoulder Pain (p-value 0.04) and RULA Score and Wrist Pain (p-value 0.05); however, there was no significant association between RULA and Elbow pain (p-value 0.861). Statistical significance was set at p-value ≤ .05. In conclusion, this study found a significant association between RULA and upper limb musculoskeletal pain in fine arts students.
Exploring the Frontiers of Green Nanotechnology: Advancing Biomedicine, Herbonanoceuticals, Environment, and Sustainability
Authors:   Department of Eastern Medicine, Government College University Faisalabad Pakistan., Muhammad Akram , Rashid Abid ,   Faculty of Medical Sciences, Government College University Faisalabad Pakistan., Anwar Hina ,   Department of Eastern Medicine, Government College University Faisalabad Pakistan., Khan Fahad Said ,   Department of Eastern Medicine, Government College University Faisalabad Pakistan., Chikwendu Chukwudi J. ,   Department of Biochemistry, Chukwuemeka Odumegwu Ojukwu University, P.M.B.02 Uli, Anambra State, Nigeria., Destiny Edward C. ,   Department of Science and Laboratory Technology, Delta State Polytechnic Ogwashi-Uku, Delta State, Nigeria., Dokubo Chinweike U. ,   Department of Science and Laboratory Technology, Delta State Polytechnic Ogwashi-Uku, Delta State, Nigeria., Ifeanyi Akaun ,   Department of Science and Laboratory Technology, Delta State Polytechnic Ogwashi-Uku, Delta State, Nigeria., Uche Chukwuemelie Z. ,   Department of Medical Biochemistry and Molecular Biology, University of Nigeria, Enugu Campus, Nigeria., Olisah Michael Chinedu ,   Department of Medical Biochemistry, Faculty of Basic Medical Sciences, Chukwuemeka Odumegwu Ojukwu University, Nigeria., Egbuna Chukwuebuka ,   African Centre of Excellence in Public Health and Toxicological Research (ACE-PUTOR), University of Port-Harcourt, Nigeria.
Published: September 2023

Green nanotechnology represents a burgeoning field that holds immense promise in the realm of nutraceuticals and pharmaceuticals. This comprehensive review explores the multifaceted applications of green nanotechnology, offering an extensive analysis of its potential and current achievements in these vital sectors. The utilization of plant extracts and natural compounds as reducing and stabilizing agents for nanoparticles is a key focus of this review. The discussion encompasses various synthesis techniques, shedding light on the innovative developments and methods that researchers employ to harness the full potential of green nanotechnology. The array of applications covered in this review spans applications in drug delivery systems and nanomedicine to imaging and diagnostics and environmental applications. We underscore the significance of maintaining nanoparticle stability and bioavailability throughout their journey within the body, addressing critical issues related to nanotoxicology, in vivo testing, and formulation development. Furthermore, this review emphasizes the pivotal role of green nanotechnology in nutraceuticals and pharmaceuticals by elucidating its contributions to enhanced drug efficacy, reduced side effects, and improved patient outcomes. In conclusion, the blend of green nanotechnology with nutraceuticals and pharmaceuticals offers a remarkable opportunity to revolutionize the healthcare landscape. By harnessing the potential of plant-derived nanoparticles and innovative synthesis methods, researchers and industries alike are poised to unlock new frontiers in drug delivery, diagnostics, and patient care.
Transatlantic African Sound Praxis: Communitarian Practices, Pedagogies and Research
Authors:   University of the Witwatersrand, Johannesburg, Pyper Brett , Moutinho Ribeiro Renan ,   Federal University of Rio de Janeiro, Mendonca Pedro ,   Federal University of Rio de Janeiro, Freire Juliana ,   Federal University of Rio de Janeiro, Carneiro De Sousa Felipe ,   Federal University of Rio de Janeiro
Published: September 2023

This paper summarizes the exploration of sound praxis, a decolonial approach in South African universities inspired by the work of Brazilian educator and philosopher Paulo Freire. The paper discusses the history and development of sound praxis, focusing on articles and research by Samuel Araújo and the Ethnomusicology Laboratory of the Federal University of Rio de Janeiro. The concept of sound praxis integrates dialogue, participation, and collective authorship in research, challenging traditional academic norms. The abstract also highlights the collaboration between Brazilian and South African activists, educators, and researchers, as they seek to apply sound praxis in their respective contexts and explore the potential for transformative pedagogy and artistic practice.
The Body Matters: Making the Body and Materials Present in Post-Extractive Urban Terrains in Response to Issues of the Anthropocene Thrugh Speculative and Performative Practices
Authors:   University of the Witwatersrand, Johannesburg, Stone-Johnson Brigitta
Published: September 2023

This paper explores the relationship between human actions, particularly in the context of extractive industries and colonial attitudes, and their impact on climate change. The text discusses the concept of the Anthropocene and its problematic implications, emphasizing the need to reframe the relationship between humans and the living world. It proposes embodied creative practices that engage with materials and the body to challenge extractive narratives and foster a more holistic understanding of matter and its agency. The paper highlights the importance of individual responsibility and collective action, drawing attention to the role of implicated subjects in addressing the material consequences of our actions.
Art in Action Research (AIAR): Integrating Tacit Knowledge Into Research
Authors:   Zurich University of Art, Lammli Dominique , Flux Foa ,   Zurich University of Art
Published: September 2023

This paper introduces the concept of Art in Action Research (AiAR) as an alternative paradigm for art practitioners working in sociocultural settings. AiAR aims to accommodate diverse notions of art, theories, and knowledge bases, integrating tacit knowledge into research frameworks. The paradigm is grounded in the issues emerging from the work environment, focusing on real-life challenges to co-create a liveable future. The paper addresses the need for methodological guides in researching art practitioner perspectives and discusses the concepts of knowledge and tacit knowledge. It explores the problem of non-groundedness in art practitioner research and highlights the global turn and the need for retooling disciplinary perspectives. In sum, the paper argues that AiAR provides an alternative paradigm for methodology crafting that considers the global turn and acknowledges diverse notions of art and knowledge bases.
Research on communication efficiency and privacy security of federated learning
Authors: Zhou Junhao
Published: September 2023

In recent years, to surmount the challenges of data sensitivity and data silos, federated learning (FL), a collaborative decentralized privacy preservation machine learning framework was proposed and rapidly became a current research hotspot. In this paper, we present an overview of FL workflow, as well as the communication overhead and privacy leakage problems associated with FL. In order to alleviate these two pain points, several corresponding solutions are presented in this paper along with their advantages and disadvantages. To reduce the communication overhead, this paper suggests three reliable approaches by reviewing related research including increasing the amount of computing on the edge side, model compression, and improving parallelism. To address the privacy concerns, this paper introduces three prevailing privacy preservation techniques: differential privacy, homomorphic encryption, and secure multiparty computation (SMC), and shows how to efficiently incorporate these privacy-preserving techniques into a federated learning framework by summarizing relevant literature. On the whole, this paper contributes to explaining the overall workflow of a FL framework and helps advance the understanding of FL in improving communication efficiency and enhancing privacy security.
An improved partition merging algorithm to account for maximum waiting time in carpools
Authors: Wen Andrew , Xu Jinglin , Chen Shunchang , Wu Ryan , Lin Yuntao
Published: September 2023

Nowadays, traffic problems have become an issue that needs to be solved in every populous country. Especially in large urban areas, people face traffic problems such as road congestion and high exhaust emissions due to the rapid growth of vehicles on the roads. In this context, several researchers have shown that carpooling, i.e., vehicle sharing, is an attractive solution to effectively address the traffic stress that arises when a large number of cars are traveling at the same time. The goal of our carpool scheduling problem is to reduce the number of carpools required by all users while ensuring their waiting time. Previous studies on similar topics have introduced additional static capacity constraints to simplify the problem, which limits the number of carpooling users in a vehicle. However, this does not match most real-world situations. This is because when a passenger gets off the vehicle, their seat should also be vacated for the next user. In this paper, we eliminate the static capacity constraint to enable timely user turnover during the carpooling journey. A greedy algorithm based on iterative matching and summation is proposed. In addition, we introduce the concept of user waiting time, i.e., the amount of time a user is willing to wait to be picked up. We apply our algorithm to synthetic and real-world data sets, and our experimental results show that our algorithm has better performance than existing methods.
Survey on deep learning techniques for thorax disease classification task
Authors: Yang Fan , Jia Huizhu , Xie Xiaodong
Published: September 2023

In recent years, medical image analysis has been widely studied, largely because it provides useful tools to support daily clinical routines. Thorax disease classification (TDC) is an important one among these tools since Chest X-ray (CXR) has become prevalent in daily clinical examinations. It aims to distinguish between normal and abnormal CXR images according to different diseases. To this aim, many thorax disease classification systems have been proposed to increase performance. Most of them adopt deep learning techniques to train a deep neural network (DNN) by using labeled CXR datasets. The TDC performance has been continually refined. Aiming to provide future researchers with the work being done on TDC to date, we review the DNN models for this task. A brief review of each method along with their evaluations on a set of benchmark datasets is included. Moreover, we give a detailed comparison of these methods as well as a conclusion.
Speech emotion recognition using multiple classification models based on MFCC feature values
Authors: Chen Hanwen , Wu Shengping , Wu Xinrui , Lin Ziran
Published: September 2023

In everyday life, people are often influenced by emotions in our behaviour and language. When people use different emotions to articulate the same text, it can have a completely different effect. With the increasing demand for speech emotion recognition (SER), more machine learning and deep learning methods are being used to perform SER. matlab was used as the experimental tool in this study. The Berlin Database of Emotional Speech was used as the database. Feature extraction was performed by Mel Frequency Cepstrum Coefficients (MFCC) and based on these feature values, Support Vector Machines (SVM), K-Nearest Neighbors Algorithm (KNN), Semi-supervised graph-based classifier, ECOC classification model, Naive Bayes model and long short-term memory for predictive classification. The results surface that among the six classifiers, the best sentiment recognition method is LSTM, with 93.2% and 73.03% accuracies in the training and test groups respectively.
Removal of artifact in bio signal using ECG for QRS detection
Authors: S. Karthic R. , S. Saravanan , M. Prabin S. , Karthikeyan P. , M. Sandeep Kumar
Published: September 2023

This paper proposed a removal of artifacts in bio signal, which is used to improve the signal strength by using Pan Tompkins algorithm for QRS signal detection. This algorithm is compared with different filtering technique such as noise cancellation filter, squaring filter, moving average and differentiator filter. Recorded bio signal and SNR ratio measurement will be shown in simulation result using MATLAB 2018a software tool, this filtering technique data contains noisy input signal with 3 second time delay. The sampling rate of the ECG signal is 200Hz on power line noise from machine power supply, ECG signal wandering after cancellation DC drift and normalization process. Efficacy of the filters for removing the artifact and generate the effect on the ECG waveform, in terms of accuracy rate, the SNR ratio of ECG in pipeline architecture has 93% of efficiency is achieved.
Understanding user experiences and expectations toward patient appointment systems
Authors: Huai Yibin
Published: September 2023

Patient appointment systems are automated reservation systems which allow people to book healthcare services, such as doctor appointments or outpatient appointments online or in apps. In many cases, patient appointment systems are attached as a function in the websites of hospitals. As a kind of direct-to-user healthcare technology which build interactions with patients, the experiences the systems created can affect patients emotion status and health conditions. Therefore, to investigate how user experience could be improved and how positive experience could be created through Human Computer Interaction (HCI) and user experience design, Clincare, a prototype healthcare website making users feel supportive was designed. To characterize users experience and expectations towards patient appointment systems, user experience study was then conducted using the prototype. The results revealed 4 aspects which could significantly influence participants experience and emotions: Information Display, Aesthetics, Workflow, and Context of Use. Based on the result, 4 design implications were proposed to inform future design works of patient appointment systems.
A deep learning assisted web application tool for diagnosing communication disorder in children
Authors: KanimozhiSelvi C. S. , Santhiya S. , C Sharmila , S. Gayathri , V. Venkatesh , S. Snehaa
Published: September 2023

Communication is an important way of expressing one's thoughts to others. Many people are suffering from communication disorders like stammering and stuttering. Communicative disorders are mainly divided into three types namely language disorders, speech production disorders, and oral motor/swallowing/feeding disorders. Identifying the problem earlier and giving intervention at the right time is very important for children to improve their personal and academic lives. It will be better for the children to recover from the disorder if the problem is identified earlier. Disorder identification is a complex decision-making process that requires expertise in the medical field. The proposed framework gets the voice input through a web application. Later, deep learning technology predicts the speech disorder of the recorded voice. The deep learning-assisted tool developed in the proposed framework is to identify if the person has a stuttering problem, dysarthria, or whether the person can talk normally. Hence, the proposed method alleviates the problem of identifying speech disorder types by recording the person's voice through a web application and it achieves the accuracy of 95%.
Network resilience: impact on small-world network
Authors: Wang Chuanshi
Published: September 2023

Lots of complex systems in the real world have network structures, and a number of these structures have small-world property. This kind of structures are called small-world networks. Examples include the world's air transportation system, electric power systems, and human functional brain network, and small-world property is one of the key reasons why these systems function efficiently. However, for complex systems, in addition to their efficiency, resilience or robustness is also one of the concerns, as these systems need to ensure that they do not completely collapse on their own in case of failure of a small number of their components. The purpose of this paper is to try to find and explain the factors that affect the robustness of small-world network by comparing different classes of small-world networks and analysing differences between them and possible causes of these differences, in order to get an idea to optimize the robustness of small-world networks while preserving their small-world property.
On enhancing transmission performance for iov based on improved greedy algorithm
Authors: Wei Longqi , Feng Junyuan , Deng Yancong
Published: September 2023

Nowadays, the development of 5G and IoT technology can be observed from abundance of their applications, such as VR/AR/MR, communication, healthcare, transportation and so on. Some of these applications are in need of quality improvement like delay and resource consumption decrease since the need of users and devices about the relatively developed technique gradually increase as well. About this kind of QoS improvement in the field of VANET, this paper first has a brief review on this concept and related key word and makes use of the concept of Edge Computing, eventually provides information about the research that focuses on the optimization of Task Offloading function by proposing a new algorithm. The new algorithm consists of 3 C++ programs and determines the relatively effective task offloading strategy by taking both calculating resource consumption and communication latency into consideration. In order to prove the developed performance of the proposed algorithm, paper uses other two kinds of algorithms to have comparison, finally reaches the conclusion that proposed algorithm has the best system cost performance among the comparison objects.
Full convolutional speech enhance network based on with combined amplitude and phase spectra
Authors: Li Xingda
Published: September 2023

With the coming of the information age, speech has a pivotal role in modern society, and the study of speech enhancement has become necessary. To implement the often-neglected speech phase spectrum. This research proposes a full convolutional model based on an enhanced U-Net. The standard convolution kernel in the model is replaced with a deformable convolution with adaptive learning bias, a double attention mechanism is added between the encoder and decoder layers, and many residual connections are used to link the different layers, and the phase spectrum is also used as one of the inputs. The simulation experiments show that the added modules all contribute to the speech enhancement effect. Among them, the addition of the deformable convolution has the greatest contribution to the model.