bluuebunny/crossref_metadata_2025 huggingface dataset:
ANTIDIARRHEAL ACTIVITY OF EXTRACT ETHANOL MELINJO LEAVES (GNETUM GNEMON L. (LINN.)) IN WISTAR MALE WHITE RATS INDUCED BY ESCHERICHIA COLI AND EXTRACT STANDARDIZATION
Authors: HERLINA  , SOLIHAH INDAH , WIJAYA DIAN PERMATA , NURRAHMAH ANISSA NADIA
Published: July 2022

Objective: Determination of the antidiarrheal activity of extract ethanol melinjo leaves (Gnetum gnemon L. (Linn.)) in Wistar male white rats induced by Escherichia coli and extract standardization has been performed.

Methods: This research was conducted by in vivo method using white male rats of Wistar strain induced by Escherichia coli. The treatment group was divided into 6 groups: normal, negative control, positive control, and groups with doses 150, 300, and 600 mg/kg BW. Negative control was given Na-CMC and positive control Gentamicin. The initial time diarrhea occurred 24-30 h after administration of Escherichia coli suspension.

Results: The results of the phytochemical screening of the ethanolic extract of melinjo contain secondary metabolites of flavonoids, steroids, tannins, and saponins. Standardization of the extract ethanol melinjo leaves (Gnetum gnemon L.) meet the predetermined standards, while the acid insoluble ash content parameters did not meet the predetermined standards. The parameters feces weight, feces consistency, frequency diarrhea, body weight, number of Escherichia coli colonies feces dose 600 mg/kg BW had an effect that was almost close to positive control. The results showed that anti-diarrheal effect dose 150 mg/kg BW 35.75%, dose 300 mg/kg BW 43.02%, dose 600 mg/kg BW 50.14%. This shows that ethanol extract melinjo leaves dose 600 mg/kg BW wasn’t significantly different from the positive control (p<0.05). Effective Dose (ED50) Ethanol Extract Melinjo Leave as antidiarrheal was 578.2468 mg/kg BW.

Conclusion: Extract ethanol melinjo leaves (Gnetum gnemon L. (Linn)) dose 600 mg/kg BW has the potential to be used as antidiarrheal and its extract meet the predetermined standards, except the acid insoluble ash content parameters did not meet the predetermined standards.
EVALUATION OF MICROBIOLOGICAL CONTAMINATION PARAMETERS OF TRADITIONAL MEDICINAL PREPARATIONS CONTAINING RED GINGER
Authors: PRATAMI DIAH KARTIKA , KUMALA SHIRLY , WIDYASIH I GUSTI NYOMAN ARY , MIFTAHURROHMAH NUR , NAFISA SAFIRA
Published: July 2022

Objective: The purpose of this study was evaluated the presence or absence of pathogenic microbial contamination in traditional medicinal preparations containing red ginger based on specific microbial tests and evaluating the amount of microbial contamination in traditional medicinal preparations containing red ginger based on the Total Plate Number and Mold Yeast values.

Methods: This research was conducted on instant powdered herbal preparations containing red ginger and internal medicinal liquid containing red ginger. This preparation will be tested for safety and quality requirements including Total Plate Number with Tryptic Soy Agar media, Yeast Mold Number with Saboroud Dextrose Agar media, Enterobacteriaceae Numbers with Violet Red Bile Glucose media, Escherichia coli with Mac Conkey Agar media, Clostridia sp with Reinforced media Medium for Clostridia, Salmonella sp with Rappaport Vasiliadis medium Salmonella Enrichment Broth, and Shigella sp with Xylose Lysine Deoxycholate Agar.

Results: The results of the study for the Total Plate Count and Mold and Yeast values ​​in red ginger instant powder preparations were<10 CFU/gr, for testing the microbes Escherichia coli, Salmonella sp., Clostridia, and Shigella sp. is negative. Then, the results of the research on the medicinal liquid in red ginger for microbial contamination values ​​were<10 CFU/gr, for testing Escherichia coli, Salmonella sp., Clostridia, and Shigella sp. is negative/gr.

Conclusion: Based on the results obtained, it is concluded that herbal preparations containing red ginger meet the safety and quality requirements so that they are safe for consumption.
THE FORMULATION OF NANOEMULSION SERUM-CONTAINING GOTU KOLA EXTRACT (CENTELLA ASIATICA L. URBAN) AND CHIA SEED OIL (SALVIA HISPANICA) FOR SKIN HYDRATION EFFECT
Authors: KARLINA SELLY , CHAIDIR  , FARIDA YUNAHARA
Published: July 2022

Objective: The aims of this study of nano serum formulation from C. asiatica and chia seed to skin hydration effect.

Methods: C. asiatica extraction was macerated by 70% ethanol and evaporated by a rotary evaporator to produce high viscosity of extract yields. Four different formulas were obtained from nanoemulsion serum production with different concentrations of chia seed oil (1%, 2%, 3%, 4%). Two formulas F1 (1% chia seed oil) and F4 (4% chia seed oil) were selected for further clinical testing, which were applied at face skin for 7 d, then were measured using a skin analyzer looking for the best and most effective.

Results: Optimation result of extraction method of C. asiatica herb as high as 28.74% extract yields and 3.12% asiaticoside content. The result value of formulation based on the effect of moisturizing/hydration then can be analyzed with the Minitab program using the One-way ANOVA method. The result indicated that the product can increase face skin moistness at 20 respondents, where 13.36% increase from F1 formula and 13.88% increase from F4 formula.

Conclusion: The nanoemulsion serum-containing combination of C. asiatica extract and chia seed oil enables to increase in the moisturizing effect on dry skin or normal tend to dry skin.
FORMULATION AND EVALUATION OF CITRONELLA OIL IN ROLL-ON APPLICATION SYSTEM
Authors: NAFISA SAFIRA , KUMALA SHIRLY , SUMIYATI YATI , WINARTI WIWI , PRATAMI DIAH KARTIKA , AULENA DESI NADYA , YANTIH NOVI , NURSAFITRI AMELIA
Published: July 2022

Objective: The purpose of this study to obtain the best formulation of roll-on Citronella oil that can be used for aromatherapy.

Methods: The citronella plant (Cymbopogon winterianus Jowitt) was processed with Steam-water distillation produced essential oil. Citronella oil was tested for quality and formulated. The best formulation result is then tested for product quality.

Results: The result of yield of citronella oil was 0.6%. The result of citronella oil quality parameters is obtained in accordance with the literature. The result of the hedonic test, formula 2 was chosen to be the best formula. The result of an average transferred volume was 10.0 ml. The result of the total plate number is<`10 cfu/ml. The result of the identification of Staphylococcus aureus and Pseudomonas aeruginosa was negative. The result of the stability test was stable during storage.

Conclusion: The results showed that formula 2 was the best and has the potential to be circulated in large quantities
FORMULATION AND EVALUATION OF RED GINGER OIL (ZINGIBER OFFICINALE ROSCOE) BALM AS AN ANALGESIC
Authors: SUMIYATI YATI , NAFISA SAFIRA , WINARTI WIWI , MUMPUNI ESTI , PRATAMI DIAH KARTIKA , AULENA DESI NADYA , YANTIH NOVI , JOTI
Published: July 2022

Objective: The purpose of this study was to obtain the best formulation of red ginger oil balm that can be used for aromatherapy as an analgesic.

Methods: The red ginger plant in Steam-water distillation produces red ginger oil. Red ginger oil is tested for quality and formulated. The best formulation result is then tested for product quality.

Results: The result of red ginger oil quality parameters is obtained in accordance with the literature. As the result of the hedonic test, formula 4 was chosen to be the best formula. The result of the total plate number is<`10 CFU/ml. The result of the identification of Staphylococcus aureus and Pseudomonas aeruginosa is negative. The result of the stability test, irritation tests, and pH test was stable during storage.

Conclusion: The results showed that formula 4 is the best formula and has the potential to circulate in large quantities.Red ginger oil
MICROENCAPSULATION OF INDONESIAN POLYMER BIODIVERSITY IN WARTHON'S JELLY MESENCHYMAL STEM CELL (WJMSC)
Authors: RAHMAT DENI , WIDOWATI WAHYU , FARIED AHMAD , NAINGGOLAN ITA MARGARETHA , PRIYANDOKO DIDIK , BUDIATI ANARISA , ZAKARIA TEDDY MARCUS , AFIFAH ERVI
Published: July 2022

Objective: WJMSC is a stem cell-derived from Wharton's Jelly the umbilical cord of pregnant women which has the ability to differentiate into other cells that are osetogenic, myogenic, neurogenic, and hematopoietic. Stem cell microencapsulation is a cell coating technique that is expected to act as a delivery vehicle. This study aims to make stem cell microencapsulation using various types of natural polymers.

Methods: WJMSC (Wharton's Jelly Mesenchymal Stem Cell) was cultured with supplemented Modified Eagle Medium (MEM) Alpha in incubator with 37 °C and 5% of CO2. In this study, we investigated various of natural polymers (chitosan, glucomannan, inulin, fucoidan and amylopectin) in WJMSC microencapsulation. Viability cell of WJMSC microencapsulate was measured using MTS (3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxy-phenyl)-2-(4-sulfophenyl)-2H-tetrazolium) assay, and the condition medium (CM) was determined the measure EGF, IL-6, VEGF with ELISA.

Results: WJMSC microencapsulation using chitosan, oxidized glucomannan, inulin, fucoidan and oxidized amylopectin showed viability cell up to 100%. The EGF, IL-6, VEGF levels were increased in all tested polymers compared to negative control.

Conclusion: Tested polymers (chitosan, oxidized glucomannan, inulin, fucoidan, oxidized amylopectin) were not toxic to WJMSC and cell microencapsulation was successfully carried out.
QUALITY PARAMETERS AND DETERMINATION OF TOTAL FLAVONOID LEVELS FROM THE HIGHEST ANTIOXIDANT ACTIVITY OF ETHANOL 70% EXTRACT JACKFRUIT PEEL (ARTOCARPUS HETEROPHYLLUS L.) BY MACERATION, REFLUX, AND ULTRASONIC METHODS
Authors: FARIDA YUNAHARA , QODRIAH RAHMATUL , NILESH SANAM
Published: July 2022

Objective: The aim of this study was to investigate and determination of total flavonoid levels antioxidant activity of ethanol 70% extract jackfruit peel (Artocarpus heterophyllus L.) by maceration, reflux, and ultrasonic methods

Methods: Jackfruit peel was extracted by using maceration, reflux, and ultrasonic methods with 70% of ethanol as the solvent. Antioxidant activity using DPPH free radical scavenging and determination of total flavonoid levels using colorimetric methods.

Conclusion: The results of phytochemical screening indicates that jackfruit peel contains flavonoids, saponins, tannin, and triterpenoids; the best antioxidant activity is found in the maceration method. The extract of Jackfruit peel fullfill the quality parameters requirements.

Results: The determination was carried out at the Center for Plant Conservation and Botanical Gardens-LIPI, Bogor. The results of this determination indicate that the material studied belongs to the species Artocarpus heterophyllus L.
THE ROLE OF PROPOLIS TETRAGONULA SP. IN OXIDATIVE STRESS AND ITS PROTECTIVE EFFECT AGAINST UV RADIATION ON CELLS
Authors: ASIH SAFIRA CANDRA , PRATAMI DIAH KARTIKA , YOHDA MASAFUHMI , FUKUTAMI YOSUKE , FARIED AHMAD , SAHLAN MUHAMAD
Published: July 2022

Objective: This report presents a study the anti-oxidant properties of propolis wax from Tetragonula sp. bees by evaluating the protection ability of propolis towards cells from ultraviolet (UV) exposure. The next evaluation was using a literature study and LC-MS (Liquid Chromatography-Mass Spectrometry) to find compounds in propolis that are responsible for anti-oxidative stress activity.

Methods: HEK 293T (Human Embryonic Kidney 293 T) and fibroblast cells line were used. Four tests were performed on the cells, namely: cell proliferation assay using water-soluble tetrazolium salt (WST-8); lactate dehydrogenase (LDH), and free radicals produced on cells test by measuring fluorescence intensity produced by dichlorofluorescein; cell viability through observation using fluorescence microscope on cells stained with Hoechst and propidium iodide (PI); and reactive oxygen assay (ROS) Assay. Before UV exposure, propolis wax was added to the cells in different concentrations. The authors also analyzed the component in propolis wax using LC-MS.

Results: Based on this assessment, it was found that propolis wax successfully protects the cells against UV-induced free radicals’ formation by maintaining the cell proliferation rate, reducing the free radicals produced after UV exposure, and decreasing the number of cell death. Nevertheless, we found that a greater concentration of propolis wax tends to be toxic to the cells. While on the LC-MS results obtained about 83 compounds, in which 35 of them are flavonoid and polyphenols derived compounds with antioxidant properties.

Conclusion: Based on these findings, propolis wax produced Tetragonula sp. can be used as a potential alternative treatment of anti-oxidative stress and anti-free radicals.
SELECTION AND OPTIMIZATION OF MOST EFFICIENT SUPERDISINTEGRANT FOR THE FORMULATION OF DISPERSIBLE TABLETS OF TRAMADOL HYDROCHLORIDE
Authors: DASH G. S. , MURTHY P. N. , CHOWDARY K. A.
Published: July 2022

Objective: The intent and objective of this research work were to find out the most effective superdisintegrants on the basis of disintegration time dissolution rate and other secondary tablet properties among the three mostly used superdisintegrants (Crospovidone, sodium starch glycolate and croscarmellose). This endeavour was initiated to mitigate dysphagia and for better bioavailability of drugs.
Methods: Nine formulations of Tramadol HCl (50 mg) dispersible tablets were fabricated by direct compression process using different concentrations (3%, 5% and 8%) of mentioned superdisintegrants. Dispersible tablets were formulated and evaluated for various parameters such as thickness, hardness, friability, weight variation, disintegration time, drug content and dissolution rate. Then the stability study was carried out on the selected formulation batch to get a conclusion.
Results: Results were interpreted in mean±SD where the value of n is equal to 3. The formulated dispersible tablets were evaluated for their post-compression parameters after achieving the desired pre-compression attributes. In pre-compression evaluation, the flow property and compressibility of powder were checked and the results found to be acceptable of all the nine formulations having an angle of repose less than 19 °, compressibility index in the range of 14.45 to 15.27 and Hausner’s ratio (≤ 1.29). The thickness of the tablets was found to be 4.19 to 4.28 mm. The tablets have optimum hardness just above 4 kg/sq. cm for better sustainability against mechanical stress and the percentage loss on friability found to be less than 1%. The drug content in the tablets of all nine formulations was found to be in the range of 97.48±0.9% to 99.46±0.4%. The wetting time and disintegration time were found to be within 20 sec and 40 sec, respectively, for all nine batches. The dissolution profile showed that more than 97% of the drug were released within 14 min, which is a great achievement in comparison to marketed dispersible tablets. The formulation batch (B2) with crospovidone as superdisintegrant has shown supremacy in tableting properties with better disintegration and dissolution profile. The bioavailability of the drug would be enhanced due to the increment in these parameters. The results of the stability studies of formulation batch (B2) were satisfactory. This batch with crospovidone as a super disintegrant was selected as the best formulation and recommended for scale-up.
Conclusion: The outcome of the research work suggests that the disintegration efficiency of crospovidone is the most among the three super disintegrants and is recommended for the formulation of most effective dispersible tablets of Tramadol Hydrochloride.
IDENTIFICATION AND QUANTIFICATION OF PHOSPHODIESTERASE-5 INHIBITOR AS FALSIFIED IN ‘‘NATURAL’’ MALAYSIAN HERBAL APHRODISIACS SOLD IN SOME BENINESE MARKETS
Authors: ASSANHOU ASSOGBA GABIN , GANFON HABIB , AGBOKPONTO JANVIER ENGELBERT , TAKPONON CYNTHIA , DOFFON PARFAIT , N’OUENI KANDITCHA , YEMOA LOCONON ACHILLE , GBAGUIDI AHOKANOU FERNAND
Published: July 2022

Objective: Nowadays, there have been several reports of herbal products falsified with well-known synthetic molecules, leading to harmful health consequences for the consumer. The aim of this study was to assess the profile of ‘natural' herbal aphrodisiacs in the local markets of the municipalities of Cotonou and Abomey-Calavi in Benin and to screen some of them for the presence of additives such as sildenafil and tadalafil.
Methods: A non-probability survey was conducted to identify the available aphrodisiacs and their characteristics. Some of them were then selected for analysis. Thin Layer Chromatography (TLC) was adopted for qualitative detection. The TLC positive extracts were then analyzed by HPLC on a C18 column with a mobile phase consisting of a mixture of 0.05M phosphate buffer (pH 5.8), acetonitrile and methanol (30:50:20). The Detection was performed at 290 nm.
Results: Seventy-seven aphrodisiacs were identified and from these, 18 were selected for analysis. Six of them were adulterated with tadalafil. The concentration of tadalafil in the samples was 1.7 to 4.6 times higher than the recommended dose of 20 mg.
Conclusion: This work opens the door to the need to control ‘‘natural’’ labeled products in order to ensure their quality.
ASSESSMENT OF QUALITY OF LIFE AND EFFECTS IN RECOVERED AND VACCINATED COVID-19 POPULATION: A CROSS-SECTIONAL OBSERVATIONAL STUDY
Authors: VANLALFAKZELI  , PAYANGOTT VARADHA , SIDDIQ ABUBAKER
Published: July 2022

Objective: The main objective of this study was to assess the QOL (quality of life) and effects on the recovered and vaccinated COVID-19study population.
Methods: A cross-sectional observational study was carried out for six months among residential areas and selected individuals regardless of country. Demographic details and responses were collected through phone calls and also using google form questionnaires.
Results: A total of 264 subjects were enrolled in this study. In the selected study of recovered patients, it was found that females (mean score 21.9) experience high effects compared to males (mean score 39.6) since a low mean score means higher post-effects. In the evaluation of post-vaccination effects of the selected study population, it was found that males and females experience different levels of post-vaccination effects in which females(mean score 19.5) experience high effects comparatively to males (mean score 21.9). The result of the quality of life for both recovered patients and the vaccinated population infers that the younger age group was found to experience a high quality of life than the older age group who were>65 y of age.
Conclusion: The study concludes that the elderly population of>65 y of age and females based on gender were likely to suffer from post-COVID-19 effects and post-vaccination effects. It can also be concluded that the younger age group has a healthy standard of living compared to the age group>65 y.
EVALUATION OF KNOWLEDGE AND ATTITUDE ON RESPIRATORY DISEASES AMONG PHARMACY STUDENTS OF CHITRADURGA: A PROSPECTIVE OBSERVATIONAL STUDY
Authors: VANLALPEKA SAMUEL , TOM SURYA TERESE , SIDDIQ ABUBAKER
Published: July 2022

Objective: The objectives of the study were to evaluate the basic knowledge and attitude regarding Respiratory Diseases among Pharmacy students of Chitradurga and to analyze and assess the level of attitude regarding Respiratory Diseases.
Methods: This was a Prospective Observational study that was conducted among the Pharmacy students of Chitradurga for six months. Statistical analysis was done using the Descriptive method to obtain the frequency and percentage; one sample and paired sample T-test were applied to determine any significant difference between quantitative variables.
Results: A total of 250 participants from Pharmacy College were enrolled in the study. All the subjects were in the range of 16-27 y old with which 129 (51.6%) students were from the 16-21 age group and 121 (48.4%) students were from the 22-27 age group from the total subjects. Out of 250 participants, 159 (63.3%) were females and 91 (36.4%) were males. The study showed a correlation of age with knowledge i.e. Age group 22-27 y was made based on knowledge and attitude, which revealed that females (mean ≈ 9.6) had a better level of knowledge and also better attitude compared to the age group 16-21 y. It also shows that female individuals (9.6) are having higher knowledge and attitude toward respiratory diseases than males (9.05) regarding Respiratory Diseases.
Conclusion: The assessment individuals had higher knowledge and awareness of respiratory diseases than males (mean ≈ 9.05). It also revealed that individuals in the age group of 16-21 and 22-27 had different levels of knowledge of the respiratory disease in which 22-27 (mean ≈ 9.7) age group individuals are having high knowledge and awareness of respiratory diseases than 16-21 (mean ≈ 9.2) age group.
Sustainability of Passenger Waterway Transportation under Demand and Service Level Constraints: A case study in Belém, Brazil
Authors: Tobias Maisa Sales Gama , Rocha Marcus Pinto da Costa da , Afonso Paulo Sérgio Lima Pereira
Published: July 2022

Waterway transportation is a very ancient mobility solution. Amazon region represents a good case study, where waterway transport played and is still playing a very important role. Nevertheless, passenger waterway transportation lacks economic models that help in designing and implementing strategies towards sustainability. In this work, a cost model of passenger waterway transportation was developed based on the assumptions of activity-based costing and used linear programming for cost optimization under demand and service level restrictions, with an objective-function of profit maximization of service. The model was applied in a passenger waterway transportation company to three crossings in Belém city - Brazil, for passengers and cargo, and vehicle transportation, operating on trips between Belém and Marajó Island. Different simulations in order to explore the opportunities and conditions of operational cost reductions were made. The search was for the best relation between cost and profit, i. e., model parameters include variable cost, profit and maximum number of possible trips. On results, cost reduction alternatives were established in order to reach the maximum profit and number of trips. The model proved to be useful for the design of sustainable waterway transportation services through the analysis of feasible and effective cost reduction strategies.
Importance of Regulation in the Brazilian Intellectual Property Legal System and the Consequences of the Delay for the Development of the Country
Authors: Maia Guilherme Aparecido da Silva , Ribas Lídia Maria
Published: July 2022

Intellectual property rights have their roots in the Paris Conventions (1883) and Bern (1883) and will materialize in contemporary society through TRIPS. Brazil, as a signatory country to these international agreements, sought to adapt its domestic System of knowledge protection. However, it was a relatively tardy measure, considering that implementation took place, in the late 1970s, through the Industrial Property Law (Law nº 9279/1996), which had a high cost to the country in terms of development. As if the time delay were not enough, the protection of knowledge in Brazil was born out of date, considering the advance of patent rights on biotechnology. By denying patents on genetic and modified material, the country opened its borders to patent applications requirements from developed nations, based on TRIPS. Thus, from the dialectical method combined with the hypothetical-deductive method, this work seeks to investigate the intellectual property rights of Brazil, having international treaties and national legislation as references. The results show that the country paid dearly for the negligence in protecting its knowledge, which placed it in the rear of scientific and technological development, and resulting in the expansion of the technological domain of developed nations in Brazilian territory.
ЭКСПЕРИМЕНТАЛЬНАЯ ЭКСПЛУАТАЦИЯ ТУРБОМОЛЕКУЛЯРНОГО НАСОСА VEGA PROVAC 1500 В СОСТАВЕ ВАКУУМНОЙ КАМЕРЫ
Authors: Кочетков А.Ю. , Братской В.Л. , Костецкий Н.И. , Неверов В.С. , Ширяев И.А. , Кобозев С.В.
Published: July 2022

В статье представлены результаты экспериментальной эксплуатации турбомолекулярного насоса в составе экспериментальной вакуумной камеры.
ОБОРУДОВАНИЕ ДЛЯ УСТРАНЕНИЯ СУБМИКРОННЫХ ДЕФЕКТОВ
Authors: Плебанович В.И. , Аваков С.М.
Published: July 2022

Изготовление фотошаблонов с нулевым количеством дефектов является очень трудной, но крайне необходимой задачей. Для устранения обнаруженных дефектов требуется прецизионное оборудование. Важно не только устранить дефект, но и не создать при этом новые дефекты. Разработанное нами оборудование позволяет решать поставленные задачи вплоть до технологического уровня 65 нм.
СПЕЦИАЛЬНЫЕ ТЕХНОЛОГИИ ПОДГОТОВКИ ДЕИОНИЗОВАННОЙ ВОДЫ. ОСОБЕННОСТИ ПРОЕКТИРОВАНИЯ И МЕТОДЫ ОПТИМИЗАЦИИ
Authors: Сафонова Д.А.
Published: July 2022

В докладе рассмотрены специальные технологии получения деионизованной воды для предприятий микроэлектронной отрасли, основанные на мембранных методах очистки. Приведены особенности проектирования систем водоподготовки и методы их оптимизации.
ИЗМЕРЕНИЕ ЭЛЕКТРИЧЕСКИХ ХАРАКТЕРИСТИК ПРИ ВНЕШНЕМ ВОЗДЕЙСТВИИ. ЕСТЬ ЛИ СМЫСЛ В МЕТРОЛОГИИ?
Authors: Шейхо А.С.
Published: July 2022

В статье рассмотрены основные методы измерений электрических характеристик ЭКБ под воздействием тепла и холода. Оценены преимущества и недостатки испытаний в климатических камерах и с помощью систем с нагнетанием воздуха. Предложен новый метод воспроизведения температуры на базе новых установок.
ОСОБЕННОСТИ ГОТОВЫХ ПРОГРАММНО-АППАРАТНЫХ РЕШЕНИЙ ДЛЯ ТЕСТИРОВАНИЯ ПАРАМЕТРОВ МИС. ПУТЬ К РАЗРАБОТКЕ АВТОМАТИЗИРОВАННОГО ИЗМЕРИТЕЛЬНОГО КОМПЛЕКСА РЕАЛЬНОГО ВРЕМЕНИ
Authors: Сметанин В.В.
Published: July 2022

Дана оценка возможности создания автоматизированного измерительного комплекса для тестирования параметров СВЧ МИС на базе программно-аппаратных решений от ведущих производителей измерительного оборудования. Предложен проект разработки собственного автоматизированного измерительного комплекса с отличительными признаками системы реального времени.
Water Quality Prediction using Machine Learning
Authors: Rawat Nishant
Published: July 2022

Abstract: Freshwater is a critical resource for agriculture and industry's survival. Examination of water quality is a fundamental stage in the administration of freshwater assets. As indicated by the World Health Organization's yearly report, many individuals are getting sick or some are dead due to the lack of safe drinking water, especially pregnant ladies and kids. It is critical to test the quality of water prior to involving it for any reason, whether it is for animal watering, chemical spraying(Pesticides etc), or drinking water. Water quality testing is a strategy for finding clean drinking water. Accordingly, appropriate water monitoring is basic for safe, clean, and sterile water. Water testing is fundamental for looking at the legitimate working of water sources, testing the safety of drinking water, identifying disease outbreaks, and approving methodology and safeguard activities. Water quality is a proportion of a water’s readiness for a specific utilize in view of physical, chemical, and biological qualities.
Human Activity Recognition using Machine Learning
Authors: Das Shuvojit
Published: July 2022

Abstract: Nowadays, activity recognition is one of the most popular uses of machine learning algorithms. It's utilized in biomedical engineering, game production, and producing better metrics for sports training, among other things. Data from sensors linked to a person may be used to build supervised machine learning models that predict the activity that the person is doing. We will use data from the UCI Machine Learning Repository in this work. It contains data from the phone's accelerometer, gyroscope, and other sensors, which is used to build supervised prediction models using machine learning techniques like as SVM, Random Forest. This may be used to forecast the person's kind of movement, which is separated into six categories: walking, walking upstairs, walking downstairs, sitting, standing, and lying. We'll use a confusion matrix to compare the accuracy of different models.
Vertical Axis Wind Turbine
Authors: Kumar Dhiraj , Alam Md Noor
Published: July 2022

Abstract: In this system, we make utilisation of vertical axis Wind turbine for energy generation. Vertical Axis Wind Turbine is which is run by energy of air. It comprises of vertical axis Wind mill, DC motor,12v battery ,dc inverter and transformer .
Reverse Image Querying
Authors: Anap Janhavi
Published: July 2022

Abstract: As days go by, the volume of graphic i.e. visual data keeps increasing exponentially. This presents a more recent and complex set of problems for handling and making use of such vast, disorganised and unregulated data. Multiple organisations have launched many commercial products to tap into this market. There are multiple methods and functions for reverse image querying but most of them are either incomplete or compute-intensive to be a viable option for smaller use cases. In this study, we have implemented and improvised a rudimentary yet efficient solution by using the cosine similarity model to extract similar images for the given input image from the user. The model used is explained comprehensively together with visual representations. We have also explored multiple use cases that can be used as commercial products. The resulting web application can be utilised to act as a reverse image search engine as a standalone application or can be embedded as a submodule in a larger application.
Virtual Health Care Robot Using Kinect Sensor
Authors: R Vedashree
Published: July 2022

Abstract: Kinect cameras and therefore the other sensor combination framework is used to obtain real-time tracking of a person’s action skeleton. Various gestures, performed by different persons, Quaternion's of joint angles are first used as robust and significant features. we present a gesture human activity recognition system for the event of human-robot interaction (HRI) interface. Next, classifiers are used to recognize the different gestures. This work deals with different challenging tasks, like the real-time implementation of a gesture act recognition system and also the temporal resolution of gestures. The HRI interface developed during this work includes three Kinect and robots which will be remotely controlled by one operator standing before of one of the Kinect sensors. Moreover, the system is provided with a nation action for control of the robot.
Ethnobotanical and Pharmacological Activity of Arthrospira Platensis
Authors: Bajirao Mugaonkar
Published: July 2022

Abstract: Spirulina is also known as Arthrospira platensis is algae that belong to cyanobabcteria having lots of bioactivities. Cyanobacteria (blue-green algae) are among the most primordial life forms on the planet. It contains proteins, vitamins, carbohydrates, and lipids. It has been established that Arthrospira platensis has strong antioxidant activity, inhibits the colonisation of wounds by multi-resistant bacteria, and stops viruses from entering target cells. Anti-cancer action was also seen in mouth cancer, melanoma, and UV-induced non-melanoma skin cancer animals. Arthrospira platensis has an immunostimulating impact on humans, animals, chickens, and fish by increasing their resistance to infections, altering hemopoiesis, and stimulating the synthesis of antibodies and cytokines. Here we discussed about some pharmacological activities of Arthrospira platensis.
A Review on Machine Learning Tools and Techniques
Authors: Kishore M Ram
Published: July 2022

Abstract: Data is evolving as the fuel for the new economy and the future economy. Having the right data saves time. For major businesses, a significant portion of their work is spent gathering data, sorting it, and then analyzing it in various business contexts to derive insights that are beneficial to the firm. The key challenge or the key opportunity to any organization is to be able to convert the data available into intelligent action. The best way to take advantage of this data is to convert into intelligence, specifically intelligent actions. All these cannot be performed effectively when done manually. Using machine learning, it is possible to build a system that continuously learns from historical data, build models which are fed with input data, train those models, and then predict the future when it receives new data. This whole task of building intelligent systems can be boiled down to building better models that can make precise predictions. There are several tools available that can be utilized to construct better models for different algorithms, which simplifies the process of building models seamlessly and easier to comprehend. Building a machine learning system requires a number of steps, including handling various data types, analyzing and preprocessing them, creating neural networks, training the model, evaluating it, and making iterative changes to the model to improve its performance on both training and test datasets. In this paper we will introduce you to various tools that can be used at different phases of developing a strong machine learning model. Additionally, we'll provide case-studies of a few applications, guide you through the tasks the application performs, and explain which machine learning techniques are employed to meet the application's primary goals.
Report on Automatic Vehicle Control System Using IR Technology
Authors: Roy Arnab Nilanjan
Published: July 2022

Abstract: The purpose of this idea is to control the speed of vehicles in relation to the different areas in which they are operating. Areas are generally classified into three types, namely, local narrow roads in a city, heavy traffic wide roads, and outlying roads. The speed limit of vehicles varies depending on the area. By setting special types of transmitters at a frequency of 38 kHz, which are mounted in each area, the speed control task is accomplished. An Infrared Signal (IR) receiving unit is set up in the vehicle which gets activated once it comes into the radiation zone of the transmitters that continuously radiate IR coded signals. The vehicle receives IR radiation whenever the vehicle's speed is not within the prescribed speed range and then the speed is controlled either by a control unit or manually. Speed is maintained until the vehicle receives another IR signal. This idea has the potential to be very useful in preventing vehicular accidents. It can also protect pedestrians from overspeed vehicles in slowmoving areas as they cross the road. Consequently, it can be implemented to monitor and control the speed of vehicles in various areas.
Design and Analysis of a 28 GHz Micro strip Patch Antenna for 5G Wireless Communications
Authors: Bhattacharyya Abhik
Published: July 2022

Abstract: In this paper, a 28GHz micro strip patch antenna (MSPA) design and performance analysis for fifth-generation (5G) communication systems is presented. The antenna is designed using FR4 substrate material with thickness of 0.244 mm, and and analyzed using HFSS (High frequency structure simulator) simulator. The simulated results show that, the beam-gain of 7.587 dBi, directivity of 7.509 dBi, the radiation efficiency of 97.33 %, and bandwidth of 1.046 GHz, compared to other similar designs suffers from losses are gained from the antenna significantly better bandwidth, beam-gain, return loss, and radiation efficiency. Therefore, the proposed antenna gives a highly competitive performance as related to other works, and also, it is a potential candidate antenna type for 5G wireless communication systems.
An Intelligent Approach for Food Standards Prediction Using Machine Learning
Authors: K Dr. Ashoka
Published: July 2022

Abstract: Nowadays, standard intake of healthy food is necessary for keeping a balanced diet to avoid health issues in the human body. This project proposes a food recognition system that uses a convolution neural network as a base model for image prediction and then returns nutrition facts such as calories in the given single food image. Knowing the nutrition content of the food that we are consuming helps in maintaining balanced diet. We have aimed with a variety of food categories, each containing thousands of images, and through machine learning training to achieve higher classification accuracy. Firstly, we have planned to train and optimize a CNN, state-of-art model using Tensorflow, we are using CNN as the convolution layers are tweak able and easy to implement. Second, we adapt our model with GUI features as well as nutrition analysis.
Blockchain Difficulties and Valuable Open Doors: A Study
Authors: Rajani Pankaj
Published: July 2022

Abstract: Blockchain One of the hottest technologies in the market but what exactly the blockchain is . – A blockchain is a digital transaction of records that is organized in pieces of information called blocks. These blocks connect with each other through a cryptographic validation known as a hashing function. These blocks when are connected together form a structure of solid chain - a blockchain. As of now, the blockchain technology has touched many of the fields like financial services, Internet of things , Digital identities, social media etc However, as all things in the world have pros and cons blockchain is also having some cons which are not been addressed till date and since it is an emerging technology , there are some areas in which blockchain technology still needs to be discovered and how these can be used in those fields to have an outlast benefits of the technology. In this paper , our aim is to give the overall picture of the blockchain , how it works what are the challenges of the technology and what are the opportunities that can be explored in the blockchain field.
Impact of Vertical and Horizontal Shape Modification on Tall Structure Subjected to Dynamic Wind Load: A Review
Authors: Sharma Abhishek , Maru Dr. Savita
Published: July 2022

Abstract: In modern scenario rapidly increasing population resulted in scarcity of land. High-rise buildings are solution of this inevitable problem for providing accommodation to large amount of people in significantly less amount of land on affordable price. Skyscraper structures are more revered to twist powers at higher height focuses. At these points static analysis fails to give satisfactory results. To defeat these different nations incorporated the arrangement of Gust Effectiveness Method which considers the unique properties of construction, wind structure connection and afterward decides the breeze load as comparable to static burdens. In present work, research papers on dynamic behaviour of wind and Gust Effectiveness Method has been studied and conclusions are made. The effect of vertical and horizontal shape modification, plan ratio and aspect ratio with different terrain categories has also been studied.
A Study to Assess the Stressors and Coping Strategies Among Patients Undergoing Haemodialysis Admitted in Selected Hospitals of Surat City with A View to Develop Information A Booklet on It
Authors: Vaidya Ms. Mayuri
Published: July 2022

Abstract: Life on dialysis is a perpetual challenge due to demanding treatment schedule and dietary restrictions. The dialysis depends on machine for survival conflicts with the independence needed to maintain a normal life. A number of stress and coping mechanism factors operate in patients on maintenance hemodialysis. These include physiological, psychological, socioeconomic, financial and marital problems depending on the machine, limited activities and treatment related problems. Life on dialysis end stage renal disease shows similarities with other chronic disorders in that there are threats to autonomy, a considerable burden of illness and changes in functional status Thus, promotion of their health from the beginning of human life is essential. The study aimed to assess the stressors and coping strategies of the patients undergoing dialysis of Surat city to develop and distribute an information booklet. A Cross sectional descriptive survey research approach was used in this study at selected hospitals of Surat city. Sample comprised of 100 patients undergoing haemodialysis and sample was selected by simple random sampling technique. Data was collected by using structured interview questionnaire, and analyzed by using descriptive and inferential statistics. A structured questionnaire was used to assess stressors of patients undergoing hemodialysis and A Likert Attitude questionnaire for assessing coping strategies adopted by patients undergoing hemodialysis.
A Review of Endophytes\' Ability to Promote Plant Development on Medicinal Herbs
Authors: Kishan Kharol
Published: July 2022

Abstract: Countless microbes live in the bodies of animals and plants. Plant growth is aided by the interaction between microbes and plants. They can be used as bio-fertilizers because of their nutrient intake and nitrogen-fixing capacity. These bacteria produce important metabolites and secondary metabolites that can be used to treat cancer and other chronic human diseases. They play a key role in the decomposition of heavy metals in the soil. In other words, they have a positive impact on agriculture, medicine, biotechnology, and food science. Plant growth-promoting rhizobacteria (PGPR) are commonly used to improve the growth of a wide range of crops, such as seed germination, plant weight, and harvest yields. Plant development is triggered by PGPR colonization because bacteria produce plant hormones such as indole-3-acetic acid, cytokinin, and gibberellins, as well as enhanced mineral and nitrogen availability in the soil. They are also known to defend their host plants from harmful bacteria in some cases. The role of PGPR in connection to medicinal plants and their impact on the development of botanicals is an area where there is still a lot of research to be done. This review highlights the potential PGPR–medicinal plant interactions that could boost the medicinal plant's effectiveness, particularly in farmed plants. The significance of medicinal plant endophytic microbes for bioactive potentials.
The Analysis of Plants Recognition Based on Deep Learning and Artificial Neural Network
Authors: Kiran A. Uday
Published: July 2022

Abstract: Classification and identification of plants are helpful for people to effectively understand and safeguard plants. The leaves of plants are the most important identifying organs. With the development of artificial intelligence and machine vision technology, plants leaf recognition technology based on image analysis is used to ameliorate the knowledge of plant classification and protection. Deep learning is the condensation of deep neural network learning method and belongs to neural network structure. The main content of this paper is to extract plant leaf features and identify plant species based on image analysis.
Formulation and Evaluation of Herbal Toothpaste
Authors: Jagdishsingh Mr. Nikumbh Gaurav
Published: July 2022

Abstract: Neem, “the bitter gem” is one of the most valued trees with many medicinal applications. The scientific name of neem is Azadirachta indica and belongs to Meliaceae family. It is the world’s most studied tree in the world and most promising one in the 21st century. Every part of the tree has medicinal value, such as flowers, leaves, neem cake, fruits and seed oil. Almost 300 different phytochemicals have been found in neem tree with versatile application. The aqueous and alcoholic leaf extract of neem is accounted for to have different pharmacological activities . In current situations oral dental care with use of herbal toothpaste containing natural ingredients are more acceptable in public belief than chemical based synthetic formulations due to their safety and efficacy in reducing dental caries, and preventing other dental issues to which this generation is prone to. In this formulation we utilizes clove oil, neem extract, peppermint oil, which are used in this research work. These extracts possess many activities like anti-ulcer, anti-caries, anti- bacterial, wound healing along with which it certain special additional properties like anti-fungal and anti – microbial . Important physical parameters i.e. pH, stability, spreadability, foamability, to make a successful more efficacious and stable formulation. This study that our herbal based toothpaste formulation having natural ingredients.
A Review on Artificial Intelligence in Stock Market
Authors: Apraj Saurabh D.
Published: July 2022

Abstract: This paper essentially concentrates on the utilization of man-made consciousness and AI in the field of corporate share. The standards and qualities of KNN, k-Means, bisecting k-Means, and ANN algorithm are contemplated to analyse the impacts, similitudes and contrasts of various calculations. The calculations are carried out through Python programs for stock examination. As per the P/E proportion, profit rate, fixed resource turnover rate, net revenue and different marks of each stock, the stocks are characterized and grouped to anticipate the stock improvement prospects and give reference to choosing fitting speculation systems.
Prediction of ICU Admission Analysis for Covid-19 Patients
Authors: R Pooja
Published: July 2022

Abstract: A rapid spread of SARS COVID-19 disease was first observed in China since early January 2020 and then in Italy. Covid 19 spread rapidly spread amongst many countries from one person to another person the deaths due to the pandemic continued to increase as all the countries faced many problems due to rapid spread of Coronavirus the health department was also clueless on how to provide facilities to the patients who needed ICU emergency beds in the hospitals as the cases increased all over the world. The SARS coronavirus has infected more than 100 million people and has resulted in almost three million deaths worldwide. In this project, the development of Machine Learning (ML) models for COVID-19 progression is discussed. As the pandemic situation was increased this Machine Learning model builds a web application framework where using the previous datasets we can create a complete blood count data based on which we will be able to the analysis of the ICU admitted patients. The proposed system is a Machine Learning approach which predicts the analysis of ICU and non ICU Patients. The analysis is made by uploaded details of patient which is based on CBC data only. The details of the patient data are data preprocessed and trained so that the system can predict the analysis of the entered data and gives the graphical representation through graphs. The proposed approach is a web application framework using Html, CSS, JavaScript as front end technology and for the validations. Python is an object oriented programming language which is the sever side language in this project. The data visualization is given by considering the analysis of the prediction in ICU
Hand Gesture Recognizer with Alert Message Display and Vocalizer for People with Disabilities Using Deep Learning
Authors: Bhanuprakash Dr. G C
Published: July 2022

Abstract: Communication is the basic medium by which we can interact and understand each other but unfortunately this process can prove to be difficult for the people with disabilities. This project is a small contribution to address this issue and help them communicate better. It uses the concept of neural networks in order to help the people with disabilities communicate better with just their hand gestures. The hand gesture recognizer and actuator system acts as an interface between computer and human using hand gestures. This project is a combination of gesture identification, classification and it displays the message pertaining to the gesture while simultaneously reading the message out loud. The user has to perform a particular gesture, the webcam captures this and identifies and recognizes it against a set of known gestures and displays and vocalizes the gesture. This is a very useful hands-free approach. There could be an emergency situation for them and in order to inform people around them, this system is an effective tool. The system has a set of samples to be trained against and then the trained model is tested against a set of test data.