KLARIFIKASI KEMATANGAN BUAH NANAS DENGAN RUANG WARNA HUE SATURATION INTENSITY (HSI)

Pineapple fruit is included in the type of tropical fruit, which is quite popular because it contains a lot of Vitamin C, which is quite high. Pineapple is a local fruit in the Kampar area, this fruit can be consumed directly and become other local processed products. Therefore, the quality of pineapple ripeness must be maintained. The problem that occurs at this time is that the pineapple fruit selection process is still done manually, by looking at it visually, so mistakes can occur in the process of clarifying pineapple fruit identification according to standards. Therefore, it is necessary to research the ripeness of pineapples using the Color Space Algorithm Hue Saturation Intensity (HIS). The variables to be input are based on photos of ripe, half ripe, and raw pineapples using a smartphone camera or DSLR camera with a minimum resolution of 8 MP. Clarifying the results with image processing and Hue Saturation Intensity (HIS) transformation has an accuracy rate of 80% for the 20 image test data. So that the expected results can help pineapple farmers in detecting the level of maturity of pineapple fruit, which is difficult, can minimize errors in determining the ripeness of pineapple fruit

Timing of isolation from an enriched environment determines the level of aggressive behavior and sexual maturity in Siamese fighting fish (Betta splendens)

Background Teleost fish are known to respond to environmental manipulation, which makes them an ideal model animal for testing relationships between the environment and behavior. The Siamese fighting fish, Betta splendens, is a solitary, highly territorial fish that displays fierce stereotyped aggressive behavior toward conspecifics or members of other species. Adult fish, especially males, are generally housed in isolation in captivity. Here we report evidence that an enriched rearing environment can decrease the level of aggression in bettas and enable adults to be housed in groups. Results B. splendens individuals were hatched in our laboratory and raised in groups in an enriched environment. At the juvenile or subadult stage, some individuals were relocated to a poor environment and kept in isolation. To evaluate aggression, a mirror-image test was conducted at the juvenile, subadult, and adult stages for each fish, and body parameters as well as plasma concentrations of 11-ketotestosterone, estradiol, and cortisol were evaluated. Male and female adult bettas raised in a group showed lower levels of aggression than other adult fish. The magnitude of threatening behavior was greater in adult bettas isolated as subadults, whereas the magnitude of fighting behavior was grater in adult bettas isolated as juveniles. The influence of rearing conditions on behavior was greater in females than in males. Plasma cortisol concentrations of adult bettas isolated as subadults after the mirror-image test were higher than those in other experimental groups. Adult males isolated as subadults had significantly higher plasma concentrations of 11-ketotestosterone than males raised in a group and isolated as juveniles. Females isolated as subadults had a higher gonadosomatic index than females raised in a group and females isolated as juveniles. Conclusions These results indicate that bettas can be kept in a group under enriched environments and that the timing of isolation influences the aggression and sexual maturity of bettas. Female and male bettas responded differently to environmental manipulation. Judging from their level of sexual maturity, bettas isolated as subadults show proper development.

Mechanisms and effectiveness of immunotherapy in patients infected with COVID-19

Objective: To investigate the mechanism and effectiveness of immunotherapy in patients infected with COVID-19. Literature review: Inflammation for cytokines are directly associated with the development of COVID-19 and its severity, due to the cytokine storm, immunological pulmonary injury and systemic damage. When infected, the patient develops an inflammatory chain that results in a large quantity of pro-inflammatory cytokines, the cytokine storm, leading to fast development of the disease. The status of hyperinflammation and inflammatory biomarkers are essential tools to this disease prognosis. These biomarkers, complete blood count, CRP, Dimer and image test are important for diagnosis and prognosis for COVID-19 patients, which when detected and regulated early, minimize the risks of worsening the case. Final considerations: Therefore, immune suppression and anti-inflammatory drugs are eligible treatments for the cytokine storm, significantly reducing severe cases. In this way, immunomodulators that block interleukin 6 have potential to inhibit in a specific way the hyperinflammation status.

Body image and the relation to mindfulness and self-compassion in physical education students: a cross-cultural study

The present study investigated the body images of Omani and German physical education students. 199 students completed a body image test, a dispositional mindfulness and a self-compassion measurement, as well as a short physical activity questionnaire. Overall, our results demonstrate that females showed a higher body distortion than males and students in Germany displayed a higher body distortion effect. Concerning mindfulness and self-compassion, students from Oman showed higher values than German students in self-compassion, but not in the dispositional mindfulness measurement. However, self-compassion and mindfulness were not related to the body distortion effect. This is the first study that provides unique data of self-compassion and mindfulness in an Arabic sample, and shows that self-compassion is higher in Omani students.

THE SYSTEM OF DAMAGE RECOGNITION IN METAL STRUCTURES

The article deals with a system developed on the basis of a neural network approach that allows the system to detect the visual defects and damage of infrastructure facilities using photo/video data processing. The photo/video images of structural railroad bridge members were used as training data for the convolutional neural network U-Net. The authors carried out ranging and labeling the photo/video data sets as well as they selected an optimal architecture and hyperparameters for the neural network. The image test sets were used for testing the neural network trained. The findings suggest that the resulting system can detect defects in structural steel members at the level which can be achieved if experts performed the visual inspection.

Research on classification and identification of library based on artificial intelligence

With the popularization of open borrowing, it is urgent for major libraries to explore new collection classification and identification systems to assist or replace librarians in their daily book cataloguing work. The messy books can be marked according to invisible colors, which puts forward a new method of library classification. In the algorithm used to detect image edges, by looking for the traditional sensitivity measurement system, the best parameters are applied to the wrong book image edges, and the test results are verified to find the best parameter range. A two-dimensional algorithm is used to segment the information element matrix to reduce sound. The results show that the image edge test is effective and reduces the influence of noise on the image test. The self-adjustment control algorithm of a single neuron is used to control the robot orbit, which makes the robot not only react quickly, but also reduce a small part of the error in meeting the actual needs of the robot. The effect on the result is getting smaller and smaller.

Neurological Manifestations of Systemic Lupus Erytematosus

Systemic lupus erythematosus (SLE) is the prototype of autoimmune disease with multisystemic damage capacity. Its diagnosis is based on clinical and immune criteria, which have been recently updated by EULAR/ACR, making positive antinuclear antibodies (ANA) a necessary part of the diagnosis criteria. Those criteria are responsible for the decrease in the neurological manifestations, in comparison with the former criteria. Eighty seven LES patient’s retrospective hospital sample. Sociodemographic variables, autoimmune family history, years of evolution, diagnosis, antibodies, neurological clinic, image tests, electroencephalography and cerebrospinal fluid, treatment and obtained score according to EULAR/ACR criteria are being analysed. Seventy patients and seventeen with other diagnosis are obtained, where 84.3% are women with an average age of 44.64 years, no autoimmune family history in 54.70% of the cases, an average of 15.3 years of evolution, 100% of ANA and 75% antiDNA positives. Headache, seizures, strokes and cognitive impairment are the most common neurological manifestations. 78.6% of them lack an image test, where steroids are the most used immunosuppressor (58.24%), followed by hydroxychloroquine (48.6%). The frequency of the discussed neurological manifestations is similar to the one present in current literature, having cognitive decline a low prevalence. Our sample’s neurological manifestations lack of statistical significance for SLE diagnosis, being anti-DNA antibodies are crucial for it. We suggest that a prospective study with less years of evolution, widening the neurological manifestations and having anti-DNA antibodies as entry criterion, can increase statistical significance.