Personal Body Research Articles

Application of Foot Exercises in Diabetes Mellitus Clients with Blood Glucose Levels Instability: A Case Study

Diabetes is a metabolic disorder caused by a lack of the hormone insulin in a person's body. Lack of the hormone insulin in a person's body. Lack of the insulin hormone causes the sugar (glucose) consumed by the body to be imperfect. This situation causes the patient to experience hyperglycemia or excess blood sugar. In diabetes, the condition of excessive blood sugar levels can result in long-term damage, dysfunction and failure of various organs, especially feces, kidneys, nerves, heart and blood vessels. This study aims to determine blood glucose levels before and after the application of foot exercises. With the method of writing in this study using data collection methods, with 2 clients affected by Diabetes Mellitus. The tool used to measure blood glucose is using a glucometer. The results showed that management to overcome instability of blood glucose levels in clients with diabetes mellitus can be done by applying foot exercise techniques. From this study it can be concluded that there are changes in blood glucose in diabetes mellitus clients before and after implementing foot exercises. The application of diabetic foot exercises can be used to improve blood circulation in the legs and prevent swelling and injuries to the feet. Further researchers are advised to increase the number of respondents so that they can reduce blood glucose levels more from this study
 Keywords: Diabetes mellitus, blood glucose levels, foot exercise

Expecting individuals’ body reaction to Covid-19 based on statistical Naïve Bayes technique

Covid-19, what a strange, unpredictable mutated virus. It has baffled many scientists, as no firm rule has yet been reached to predict the effect that the virus can inflict on people if they are infected with it. Recently, many researches have been introduced for diagnosing Covid-19; however, none of them pay attention to predict the effect of the virus on the person's body if the infection occurs but before the infection really takes place. Predicting the extent to which people will be affected if they are infected with the virus allows for some drastic precautions to be taken for those who will suffer from serious complications, while allowing some freedom for those who expect not to be affected badly. This paper introduces Covid-19 Prudential Expectation Strategy (CPES) as a new strategy for predicting the behavior of the person's body if he has been infected with Covid-19. The CPES composes of three phases called Outlier Rejection Phase (ORP), Feature Selection Phase (FSP), and Classification Phase (CP). For enhancing the classification accuracy in CP, CPES employs two proposed techniques for outlier rejection in ORP and feature selection in FSP, which are called Hybrid Outlier Rejection (HOR) method and Improved Binary Genetic Algorithm (IBGA) method respectively. In ORP, HOR rejects outliers in the training data using a hybrid method that combines standard division and Binary Gray Wolf Optimization (BGWO) method. On the other hand, in FSP, IBGA as a hybrid method selects the most useful features for the prediction process. IBGA includes Fisher Score (FScore) as a filter method to quickly select the features and BGA as a wrapper method to accurately select the features based on the average accuracy value from several classification models as a fitness function to guarantee the efficiency of the selected subset of features with any classifier. In CP, CPES has the ability to classify people based on their bodies’ reaction to Covid-19 infection, which is built upon a proposed Statistical Naïve Bayes (SNB) classifier after performing the previous two phases. CPES has been compared against recent related strategies in terms of accuracy, error, recall, precision, and run-time using Covid-19 dataset [1]. This dataset contains routine blood tests collected from people before and after their infection with covid-19 through a Web-based form created by us. CPES outperforms the competing methods in experimental results because it provides the best results with values of 0.87, 0.13, 0.84, and 0.79 for accuracy, error, precision, and recall.

Body Shaming Act as a Crime in Indonesian Criminal Law

Body shaming is an act that often occurs in society. Body shaming is an act that refers to the activity of criticizing and commenting negatively on the physical or other person's body or the act of mocking / insulting a person's body shape or body size or someone's appearance. Often this body shaming is carried out only for jokes or jokes among the public, but basically if viewed from a criminal law perspective, basically this body shaming meets the criteria for a criminal offense in the defamation article regulated in the Criminal Code. criminal offense in contempt which can be punished by using article 315. Considering the legal rules regarding body shaming in the Criminal Code and outside the Criminal Code which in the regulation do not mention directly about body shaming, it is necessary to review the rules governing body shaming so that it does not give rise to multiple interpretations. The formulation of the problem in this study is the regulation of criminal acts in insulting body image (body shaming) in terms of the Criminal Code and Legislation Outside the Criminal Code. The method used in this article uses a normative juridical research method. Later this study will review the legal construction of the law on body shaming in criminal law in Indonesia. In the regulation of the Criminal Code, body shaming is regulated in the elements of a criminal act, article 315. In addition, Indonesia already has a number of rules that regulate behavior on the internet, such as Law No. 11 of 2008 concerning Electronic Information and Transactions, which was later amended in Law No. 19 of 2016 concerning Amendments to Law Number 11 of 2008 concerning Information and Transactions. Electronic (UU ITE)

Surveillance system of mask detection with infrared temperature sensor on Jetson Nano Kit

Coronavirus desease-19 (COVID-19) has made it mandatory for people to cover their faces in public areas since the right use of a mask is effective at protecting people from viral infection. It has been also shown that body temperature may indicate an individual's health state. Deep learning is being used in this work to construct an actual strategy to meet the current demand for mask-wearing status and facial temperature detection before entering a public venue. For the mask detection service provider, a surveillance system is constructed utilizing a deep learning technique employing a Jetson Nano. The alert is triggered by an infrared temperature sensor and a buzzer. AMG8833 and C920e camera are used to take input images and measure a person's body temperature at the same time. A warning sound is produced when the temperature of a person's face exceeds the normal range for human beings during these tests, which result in a live video showing the right information on whether the individual is wearing a mask correctly and how hot his or her face is. The model is light and fast, with a 99% accuracy rate for training and a 100% accuracy rate while testing.

VIKTIMISASI PEREMPUAN MELALUI BODY SHAMING

This article discusses bullying, especially body shaming that occurs in women. Body shaming is a form of negative commentary about a person's body, but the main problem for the author is the act of body shaming that often occurs only to women. The author will discuss the victims of women, where those who experience body shaming are inseparable from patriarchal culture, where the culture considers that women are helpless creatures. In the act of body shaming media also plays a role in forming the ideal standard of a woman's body, which causes women to be more vulnerable in becoming victims of body shaming.

RELATIONSHIP BETWEEN WEIGHT AND HEIGHT TO JUMP RESULTS IN EARLY AGE LONG JUMP ATHLETES FOSTERED BY PASI, ACEH BESAR REGENCY

Athletics is the oldest sport in the world. Athletics has 4 numbers, namely running, walking, jumping and throwing numbers. Jump numbers have elements of physical conditions that must be owned by athletes, such as height and weight. The long jump is a sport that combines speed, strength, flexibility, endurance and accuracy in an effort to get as far as possible. Speed ??and strong leg muscles are also related to weight and height, because in the long jump the legs get a big load in the jump. Against the background of people's assumptions which state that differences in a person's body posture or weight and height affect the jump results, this research was conducted. In this study, a correlational research design was used which aims to determine the tendency of the existence or absence of correlation between variables. This correlational research was conducted to find out how much strength the relationship between the variables to be studied was. With the research subjects 7 Early Long Jump Athletes fostered by Pasi Aceh Besar District, so that in this study there were two variables, namely the dependent variable and the independent variable. Assuming H0: there is no relationship between weight and height and with jumps. H1: there is a relationship between weight and height with jumps. The research instruments used were of two kinds, namely instruments and test instruments. The research conducted will produce data in the form of ratio data, then the collected data is analyzed through inferential statistics in the form of simple, multiple regression analysis, and correlation analysis techniques. Based on the results of data analysis carried out, three conclusions were obtained as follows. First, with the results of H0 being rejected and H1 being accepted, there is a negative relationship between body weight and the long jump, which means that the heavier the weight, the shorter the long jump. The magnitude of the effect of body weight on the jump is 0.486 or 48.6%. Second, because H0 is rejected and H1 is accepted, there is a relationship between height and jump. The magnitude of the effect of height on the jump is 0.743 or 74.3%. Third, Based on the calculation, the correlation between weight and height combined has a relationship with jumps. The magnitude of the relationship is 61.45%. The conclusion is that for each sport it is necessary to pay attention to the body composition of the athlete in order to produce maximum results.

Le toucher dans la relation de soins

Touching someone is a multisensory encounter with the other, it is listening, hearing, seeing, smelling, feeling, perceiving, etc. This contact allows for the interpersonal circulation of a host of information in a close relationship. The caregiver touches the patient's body with his or her eyes before beginning to grasp it with his or her hands. In order to adjust his or her approach to care, he or she must be attentive to the messages that the patient sends. But touching a patient's body also means that the caregiver is touched by the emotions produced by the confrontation of the person's body with his or her own body.

The Impact of Idealized Imagery of Models/Celebrities in Malaysian Television and Online Commercial Towards Youth Behaviour

Advertising plays an important role to educate, promote and create awareness for a company's product and services through traditional media such as television, radio, newspaper, billboard, and magazine or via the Internet. It is not easy to persuade potential and target market to buy the product. Therefore, advertisers decided to use any methods to attract the customer's attention. One of the ways includes using beautiful and well-figured models in their advertisements. However, some of the ads do not look relevant to the product. The advertisers' objective is to develop the ads that can grab attention, create interest and desire to purchase. The study's major purpose is to look into the effects of the media on body image and self-esteem in males and females aged 19 to 24. The media is the most influential contributor of social acceptance norms surrounding physical expectations, ideal height and weight, which have been the main factors contributing to one dissatisfaction of his or her own physical appearances and in turn, attributed to mental health issues such as depressive disorder, inferiority complex and disturbed eating habits. A quantitative non-experimental correlational method was used, and a total of 354 participants involved in this study which consists of 225 females and 129 males. Participants completed survey questionnaires containing three sections, which included media exposure, body image, and self-esteem. Data from these survey questionnaires were analysed using Statistical Package for the Social Sciences (SPSS). The results derived from the study shows that females tend to have lower body image than males, but there is no significant linkage between a person's body image and self–esteem. The result also shows that there is a negative correlation between media exposure and self-esteem for both males and females.

Hubungan Kadar Hemoglobin Dengan Ketahanan Kardiorespirasi Pada Anak Sekolah Dasar

The degree of health of a person's body has decreased which consists of one of the supporting body health, namely cardiorespiratory health or called the degree of maximum oxygen quantity (VO2Max). Children who do less physical activity in the future can experience cardiorespiratory problems such as shortness of breath, heart attack, chest pain, and stroke, because cardiorespiratory fitness increases insulin sensitivity, glucose transport, improves nervous system function and lowers heart rate. This study aims to to determine the relationship between hemoglobin levels and cardiorespiratory resistance (VO2max) in elementary school children. This study is a correlational study on the subjects of elementary school children aged 10-12 years. and multistage random sampling. Measurement of physical fitness level using the Harvard step test method, pulse rate and VO2max were measured using an oximeter, hemoglobin level data using the cyanmeth method. The statistical test used was the Shapiro-Wilk test and the regression estimation curve test was used to determine the relationship between variables. The results of measuring cardiorespiratory endurance (VO2max) by measuring cardiorespiratory function using the Harvard step test showed that on average elementary school children had less cardiorespiratory endurance (49.01 ± 15.16). The results of measuring the hemoglobin level of the subjects showed that the average hemoglobin level was normal (11.03±0.83 mg/dl). The normality test of the data used, namely Shapiro-Wilk, shows a significance of 0.000 (<0.05), which means that the data is not normally distributed. The results of the analysis obtained using the regression estimation curve obtained a correlation coefficient of 0.46 with a significance of 0.786 (p>0.05). The conclusion in this study is that there is no relationship between hemoglobin levels and cardiorespiratory endurance (VO2max) in elementary school children. The importance of providing a balanced nutritional intake, a balanced diet and activity can increase hemoglobin and VO2max levels in elementary school children.

Deep Learning Approach For Modelling The Spread of Covid-19

In March 2020, the Covid-19 outbreak in Indonesia, where the symptoms of the corona virus made the Indonesian people worry and experience depression. It has been almost two years that Covid-19 has not known what causes it, let alone a person's body condition is not good which can result in being attacked by the virus. Covid-19 first appeared in the city of Wuhan, part of China, where it spread very quickly and was deadly. Its spread through direct physical contact with humans is transmitted through the mouth, nose and eyes, therefore a model is needed for the spread of the corona virus. The spread of COVID-19 affects the pattern of interaction between susceptible (susceptible) and infected (infectious) individuals, where human social contact is very heterogeneous and in groups. To influence the impact of the spread of COVID-19 using deep learning approach that is modeled on the spread of COVID-19, individuals are exposed, infected, recover and die. The purpose of this research is to produce good predictions with a deep learning approach for modeling the spread of COVID-19. The results of the deep learning approach for the COVID-19 spread model carried out the 400 time iteration with an MSE achievement of 0.021112.

High-sugar/high-fat diet modulates the effects of chronic stress in cariocas high- and low-conditioned freezing rats

Stress and eating disorders are closely related and are a topic of major concern due to their burden on human health. Engaging in unhealthy eating habits may come as a result of stress, and it often serves to alleviate the symptoms of anxiety or as a distraction from the stressor itself or self-awareness. However, it can also lead to negative feelings of a person's body figure, guilty, or shame. As diverse as these consequences are in humans, so are the effects of the combined administration of stress and hypercaloric food in animals’ models. In this study, we assessed the influence of individual innate behavioral predisposition on the effects of chronic unpredictable mild stress and the dietary supplementation with high-sugar/high-fat food. These conditions were applied to male Carioca low- and high-conditioned freezing (CLF and CHF) rats for 21 days. Behavioral results show that the hypercaloric supplement had a protective effect over the alterations caused by the stress. Notably, it was more strongly observed in CHF rather than CLF animals. As the chronic stress led to an impaired behavior in the contextual fear conditioning and the forced swimming tests in the CLF line, animals fed with the HSHF pellet scored responses similar to their untreated control. On CHF rats, these effects also were seen to a broader extent on the open field test, where the locomotor behavior was also increased. No major effects of the diet were seen in the unstressed groups. Overall, our results show that the influences of both chronic stress and hypercaloric feeding depend on innate differences in fear response traits of male Carioca rats.

Hubungan Tingkat Pengetahuan dan Sikap Ibu tentang Status Gizi pada Balita

Nutritional status is a measure of the condition of a person's body that can be seen from the food consumed and the use of nutrients in the body. Knowledge is what is known and knowledge obtained by someone. Attitude is a reaction or response that is still closed from a person to a stimulus or object. The phenomenon found is the problem of nutritional status in toddlers with the relationship between the level of knowledge and attitudes of mothers about nutrition for toddlers. The aim of this study was to determine the relationship between the level of knowledge and attitudes of mothers about the nutritional status of children under five. Based on the results of research using literature reviews from six journals of the relationship between Mother's Knowledge Level and Attitude About Nutritional Status in Toddlers in respondents with less dominant categories and statistical results showed p-value = < 0.005. This shows that there is a relationship between the level of knowledge and attitudes of mothers about the nutritional status of toddlers. Based on the results of research, knowledge, and attitudes are closely related, because the higher a person's knowledge, the better the attitude that a person gets.

Description of teachers' knowledge on the occurrence of syncope in State Junior School 1 kabila bone

Syncope is an event of loss of consciousness and strength of a person's body that occurs from nowhere or without realizing it. The purpose of this study was to determine the description of the teacher's knowledge of the occurrence of syncope. This study uses a qualitative research design with analytical descriptive method. With as many as 5 informants’ teachers. This study uses data collection procedures by conducting observations, interviews and documentation. The procedure for checking the validity of the data uses peer discussion. Based on the results of research and interviews, it was found that, according to the informants, the description of the teacher's knowledge of syncope events is being able to know, understand, apply, analyze and evaluate syncope events that occur among students at school.

Случай развития дисморфофобии у пациентки, длительно страдающей дискоидной красной волчанкой с поражением кожи лица

The external appearance of a person is, first of all, an objective set of his mental and bodily organization. It affects the perception of a person by others, and also determines the characteristics of the psychology of the individual. As a physical component, appearance is a system of elements of a person's body organization, which are anatomical and anthropological structures. Any changes or inconsistencies with the generally accepted "patterns of appearance" in these structures, especially in the anatomical ones, especially leading to a permanent change in the face, body of a person, can lead to a psychological disorder, up to the formation of persistent mental disorders. The feeling of one's own inferiority, is reflected in the mood, worldview of the patient, relationships with others, and causes an obsessive desire to improve one's appearance. In psychiatry, such mental disorder is called dysmorphophobia. In dermatovenereology, there is a significant number of dermatoses that can cause this disorder. The article presents a case report of a young woman with severe facial skin defects, suffering from lupus erythematosus for a long time and developed dysmorphophobia. The difficulties of diagnosis, clinical picture and treatment of this disorder, as well as the features of counseling such patients by a dermatologist are described.

Penerapan Metode Hybrid Case Base Pada Sistem Pakar Diagnosa Penyakit Obesitas

Obesity is a disease that is caused by the condition of a person's body that has a lot of fat in his body and is overweight or very fat. This condition is usually caused by the intake of calories into the human body that exceeds the capacity required by the body, where this condition causes a buildup of calories that turn into saturated fat. These conditions cause various chronic diseases such as diabetes, hypertension and coronary heart disease. Therefore, in order to avoid disease conditions caused by obesity, treatment and knowledge are needed so that it is not too late to take action so that the disease does not become severe. One of them uses an expert system, so that people can check for diseases without having to see a doctor. The method used Hybrid Case Base is used to make the best decision from a number of symptoms or alternatives from the diagnosed disease. The aim is to make it easier for the public to find out the diseases they suffer from obesity and be able to check them early. Where this expert system applies the Hybrid Case Base method which has the final result of this research producing an accurate diagnosis with a sample of symptom data used and getting a similarity measurement percentage of 77% with a diagnosis of the possibility of having Type 2 Diabetes.

An Evaluation of Supervised Dimensionality Reduction For Large Scale Data

Experimenters today frequently quantify millions or even billions of characteristics (measurements) each sample to address critical biological issues, in the hopes that machine learning tools would be able to make correct data-driven judgments. An efficient analysis requires a low-dimensional representation that preserves the differentiating features in data whose size and complexity are orders of magnitude apart (e.g., if a certain ailment is present in the person's body). While there are several systems that can handle millions of variables and yet have strong empirical and conceptual guarantees, there are few that can be clearly understood. This research presents an evaluation of supervised dimensionality reduction for large scale data. We provide a methodology for expanding Principal Component Analysis (PCA) by including category moment estimations in low-dimensional projections. Linear Optimum Low-Rank (LOLR) projection, the cheapest variant, includes the class-conditional means. We show that LOLR projections and its extensions enhance representations of data for future classifications while retaining computing flexibility and reliability using both experimental and simulated data benchmark. When it comes to accuracy, LOLR prediction outperforms other modular linear dimension reduction methods that require much longer computation times on conventional computers. LOLR uses more than 150 million attributes in brain image processing datasets, and many genome sequencing datasets have more than half a million attributes.

An overview of the behavior of maintaining dental and oral health for occupational therapy student at the poltekkes surakarta during the covid-19 pandemic

Dental and oral health can affect the health of a person's body because through this organ various germs can enter. Therefore, the discipline of maintaining dental and oral health is essential for the well-being of the individual. Thorough cleaning of the mouth is a major component in the maintenance of dental and oral health. With mechanical and chemical assistance, you can clean your teeth and mouth such as brushing your teeth after breakfast and before bed, eating foods and drinks that are good for your teeth and using tools such as mouthwash and dental floss. The purpose of this study is to know the description of dental and oral health maintenance behavior of students occupational therapy poltekkes ministry of Surakarta during the Covid-19 pandemic. This research is a descriptive research conducted in January-June 2021. The number of samples of 38 people using purposive sampling technique. Analysis using frequency distribution. Result: The results of the analysis on the sample of students occupational therapy Poltekkes Kemenkes Surakarta showed that 92.1% of respondents have dental and oral health maintenance behaviors with good criteria, 94.7% have good brushing behavior, 77.7% have good behavior in consuming food and beverages that are good for dental health and 65.8% have bad behavior in the use of tools to help. Conclusion: The majority of respondents have dental bad oral health maintenance behavior with good criteria.

Self-offloading therapeutic footwear using compliant snap-through arches.

In diabetic peripheral neuropathy, offloading high-plantar-pressure areas using statically offloaded customized insoles or expensive sensors and actuators are commonly-followed treatment procedures. In this article, we propose the concept of dynamically self-offloading therapeutic footwear that operates mechanically without using sensors and actuators. We achieve this by using an array of snapping arches. When a load higher than a bespoke value is applied, these arches enter negative-stiffness regime and offload the high-pressure region by snapping to a different shape. They again return to their initial shape when the load disappears. Thus, they serve as both sensors and actuators that get actuated by person's body weight. We present an analytical method to compute the switching load and the switchback time of such arches and use them to customize the footwear according to the person's body weight, gait speed, and foot size. We identify the high-pressure regions from the clinical data and place the arches such that these high-pressure regions get dynamically offloaded, and the pressure gets redistributed to other regions. We considered 200kPa as a limiting pressure to prevent the prolonged effects of high plantar pressure. To check the efficacy of the concept, a complete 3D-printed prototype made of thermoplastic polyurethane was tested and compared with barefoot and in-shoe plantar pressure for subjects recruited at a clinical facility. We notice that the self-offloading insole shows the plantar pressure reduction at all the foot regions, and significant offloading of 57% is observed at the forefoot region.

Development of a remote multipurpose body fat Analyser using Bluetooth technology

Weight and height are used to calculate a person's Body Mass Index (BMI), which measures the amount of fat in the body. Because of this, obesity has become the world's leading public health problem. Hypertension, type-2 diabetes, renal illness, respiratory issues, degenerative joint disease, cardiovascular disease, and others are all linked to this. When designing and fabricating a locally built Arduino-based automated BMI machine with LCD display, the goal was to use Hooke's law and acoustic ultrasound waves to make it inexpensive, accurate, robust, and accessible for anyone to check their obesity status on a regular basis. The goal of this project is to automatically compute a person's body mass index (BMI) based on their weight and height and preserve that information in the system's database. For this design project, the proponents created a circuit that integrated an ultrasonic proximity sensor with an optical weight sensor, as well as software for two microcontrollers that govern and operate the whole system. Arduino, SQL Server Management Studio, Microsoft Visual Studio (NET), and Gizduino ATMEGA328 were used in conjunction with the hardware tools of an ultrasonic proximity sensor and a weight sensor (software). Proponents of the gizDuino program released the software programs to Microcontroller Units after a series of tests (MCU). After the program had been uploaded, it was connected to the hardware and tested to see whether it worked. A number of experiments were carried out, and the results show that the automated BMI calculation yields accurate results. An ultrasonic sensor and four load cells are used to measure weight, and an Arduino microcontroller is used to calculate body mass index (BMI). The design has some limitations, such as not being able to accommodate more than one person at a time and not being able to accommodate more than 250 kilograms. Sixty randomly selected students from the FEDERAL POLYTECHNIC ILE OLUJI were utilized to calculate their BMI using the equipment. To serve as a baseline, the same kids' heights and weights were measured by hand. The standard errors for height, weight, and BMI are 0.01, 0.35, and 0.12, respectively, for manual and designed automatic BMI equipment. Formation of the communication system. It not only meet the document transmission needs of local area of a business, company, school and office data, it can also perform information exchange, storage and processing, provide voice, data and image synthesis in a country or even in the worldwide. The computer communication revolution brings the important facts as follows: There is no essential difference between data processing equipment (computers) and data (switching transmission equipment). There is no essential difference.

Machine learning algorithms for early diagnosis of diabetes mellitus: A comparative study

A huge majority of people all over the globe are coping with the devastating effects of diabetes, and many of them are not being identified early enough. Diabetes has become one of the most common diseases for cause of death, it develops whenever the person's body becomes unable to create sufficient insulin and the level of glucose is increased in the blood. Overall, Diabetes' global influence has exploded in current years and is expected to continue to do so in the near future. Diabetes affects around 463 million people worldwide; By 2045, this figure will have risen to 700 million. In many nations, the number of people with type 2 diabetes is increasing. Diabetes has become one of the most common diseases for the cause of death, leading to major health issues such as blindness, kidney disease, strokes,heart disease, etc. In this research, some Machine Learning Algorithms are utilized in the prediction ofDiabetes because they are effective at aiding and making predictions from big amounts of data. This research conducts a comparativeevaluation of diabetes diagnosis based on Machine LearningAlgorithms like Naïve Bayes (NB), Support Vector Machine (SVM), Neural Network, Adaboost, K-nearest neighbor (KNN), Linear Kernel SVM etc. In a result, Neural Network produced the best results with the highest accuracy rate.