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This study aims to explore the role of pet attachment among cat owners in Palembang, focusing on how emotional bonds are formed, interpreted, and influence psychological well-being. A qualitative approach was employed using purposive sampling to select two main participants who had high interaction intensity with their cats, along with additional informants from family members and neighbors. Data were collected through in-depth interviews, observations, and documentation, then analyzed thematically with source triangulation to ensure validity. The findings reveal that pet attachment develops through daily interactions such as feeding, cleaning, playing, and monitoring the cat’s health. Cats are perceived not only as domestic animals but also as companions that provide psychological comfort, emotional support, and stress reduction. Factors shaping attachment include emotional needs, intensity of daily interaction, empathy toward the pet’s condition, long-term caregiving commitment, and the perception of cats as significant companions. The duration of ownership strengthens attachment quality, while the loss of a pet triggers profound grief comparable to losing a family member. Moreover, pet attachment influences family dynamics and social identity, portraying owners as caring and empathetic individuals. In conclusion, pet attachment among cat owners in Palembang is a complex psychological phenomenon involving emotional, social, and behavioral dimensions. The relationship between humans and cats extends beyond utilitarian functions, evolving into deep affective bonds that serve as coping mechanisms and psychosocial support in urban life. These findings enrich the literature on human-animal relationships and highlight the therapeutic and emotional value of pets in modern society.

Toxoplasmosis is caused by Toxoplasma gondii, a protozoa that is often found in cats as the definitive host. The infection can spread to humans through contact with cat feces or consumption of contaminated food and drinks. Pregnant women, especially in the second trimester, are at high risk of developing infections that can be transmitted to the fetus. Primary infections during pregnancy can lead to a variety of complications, including birth defects, and premature birth. The purpose of this study is to examine the relationship between cat ownership and the incidence of toxoplasmosis in pregnant women in the second trimester. This study is the result of a literature review with a literature search method conducted on the internet and scientific journals based on questions about the relationship between cat keepers and the incidence of toxoplasmosis in pregnant women in the 2nd trimester. According to the (WHO), the incidence ratio in 26 countries is based on concrete evidence. The three countries with the highest IgG seroprevalence according to data are Ethiopia (64.2%, 95%CI: 34.3–89.1), Gabon (56.7%, 54.4–59.0), and Brazil (53.8%, 39.3–68.0) but there are also three countries with the lowest IgG are Mexico (7.2%, 5.3–9.4), South Korea (2.1%, 0.6–4.3), and Canada (0.2%, 0.2–0.3). Meanwhile, the prevalence of toxoplasmosis in pregnant women in Indonesia ranged from 43% to 88% in 2014. Data shows that keeping cats as well as poor hygiene practices can increase the risk of toxoplasmosis infection in pregnant women.

The patient, MA, a 2-year-4-month-old boy, was brought by his mother to Simpang Keuramat Primary Health Center with complaints of itchy scalp for the past 4 months. On the itchy area, white scales were observed. Initially, it was only itching, but two weeks later, the parents noticed white patches on the scalp that became thicker and more scaly. The itching was intermittent and worsened with sweating. At first, only a few hairs were broken, but over time it progressed into a round area of hair loss with well-defined borders. The patient bathes twice daily and shampoos every other day. Towels, pillows, and combs used by the patient were not shared with other family members. According to the patient's parents, the child often plays with stray cats around the house. Primary data were obtained through allo-anamnesis, physical examination, home visits, completion of the family folder, and patient records. Assessment was conducted based on the initial holistic diagnosis, process, and outcome of the visits, both quantitatively and qualitatively. Interventions included educating the patient about the causes of tinea capitis, emphasizing the importance of skin hygiene, and explaining that the disease is highly contagious. Therefore, patients were advised to avoid sharing clothing and towels with family members as a preventive measure against transmission.

Rabies is an acute infectious disease of the central nervous system caused by the rabies virus and belongs to the zoonotic group, which is a disease that can be transmitted from animals to humans through bites or exposure from Rabies Transmitting Animals (HPR) such as dogs, monkeys, ferrets, cats, and wild animals that have been infected. In the prevention of rabies after exposure (Post Exposure Prophylaxis/PEP), there are three important elements, namely wound care, anti-rabies serum (SAR), and anti-rabies vaccine (VAR). This community service activity is carried out through approaches, preparation, and implementation with the aim of increasing the understanding of high school students about first aid and wound care due to the bite of an animal infected with rabies. The targets to be achieved in this activity include providing comprehensive health education about rabies, health risks for sufferers, rabies prevention, and how to treat wounds caused by rabies bites. With this education, it is hoped that students can have a better understanding and be able to apply first aid measures and wound care appropriately.

Hang Nadim International Airport in Batam, as one of Indonesia's main airports, plays a vital role in supporting both domestic and international air mobility. However, its proximity to protected forests and green open spaces poses a serious challenge in the form of wildlife hazard risks in the airside area. The main problem identified is the potential for flight disturbances and accidents caused by the presence of wild animals such as birds, monkeys, stray dogs, and cats, which can lead to incidents like bird strikes and Foreign Object Debris (FOD). This study aims to determine the level of wildlife hazard risk in the airside area of Hang Nadim International Airport and to provide effective control recommendations to improve aviation safety. This research uses a descriptive method with qualitative and quantitative approaches. Data were collected through field observations, interviews with relevant staff, and documentation of wildlife hazard incidents that occurred from 2022 to early 2024. Risk analysis was carried out using the Hazard Identification and Risk Assessment (HIRA) method, by identifying the types of wild animals that frequently appear, the frequency of incidents, and the impact on airport operations. The results show that the level of wildlife hazard risk in the airside area of Hang Nadim International Airport is categorized as moderate to high, especially for incidents involving birds and monkeys. Events such as aircraft delays during takeoff or landing, as well as the discovery of animal carcasses on the runway, indicate the need for more effective management. Therefore, wildlife hazard risk management must be a priority to ensure the safety and smooth operation of flights at Hang Nadim International Airport.

This research investigated the biomechanical variables of movement analysis and its essentialcomponents for handball players at the College of Physical Education and Sports Sciences, Al-MustansiriyaUniversity, during a league match and university qualifiers. The data was analyzed using binary logisticregression, a mathematical model that defines the link between a dependent variable, which takes the valueof one when a goal is scored against the opposing team and zero when no goals are scored, and independentfactors.The bird swarm algorithm will be used in this research. It is one of the artificial intelligencealgorithms that rely on the intelligence of living flocks by monitoring their movements, such as birds, bees,cats, chickens, and many other swarm algorithms.The conclusions we reached from this study are as follows: When using logistic regression, we foundonly four explanatory variables that affect the dependent variable. They are detailed as follows: The twoexplanatory variables (The maximum height of the hip and Flight time until leaving the ball) and thedependent variable (shooting) have an inverse relationship and affect it. The two variables (Knee angle at themoment of thrust and The instantaneous speed of the ball) have a positive relationship with aiming and affectit.When we used the Bird Swarm algorithm, we found that all the explanatory variables included in thestudy had a significant effect on the dependent variable. The variables (Knee angle at the moment of thrust,Rising angle, Flight angle, The instantaneous speed of the ball, and the horizontal distance of theperformance) have a positive relationship, with the dependent variable (shooting). In contrast (The maximumheight of the hip and Flight time until leaving the ball) have an inverse relationship with the dependentvariable.Using the logistic model helps sports coaches and researchers to estimate and predict models,especially when the dependent variable takes values ​​(one or zero). In contrast, we noticed that the resultswere more accurate and objective when using the bird swarm algorithm. It further helps academics, thoseinterested in sports, and coaches benefit from these results.

Fish waste and tempeh have significant nutritional advantages in making cat food. Some of the advantages that can be obtained from using these ingredients include the vegetable protein content in tempeh which is easier for cats to digest, making it very beneficial for cats with certain digestive sensitivities or allergies. Tempeh also contains essential amino acids that help meet the nutritional needs of cats, as well as support muscle growth and maintenance. Fish waste contains important nutrients such as 29.70% protein, 18.83% fat, 1.94% carbohydrates, 8.97% water content, and 1.07% crude fiber, which overall meet the nutritional needs of cats. In addition, the omega-3 fatty acid content in eggs is also useful for the health of the cat's skin and fur, making the food more nutritious. Tempeh is also known as first aid for cats with diarrhea, because the bacteria contained in tempeh can help neutralize harmful bacteria in the cat's intestines. By combining fish waste and tempeh in cat food, cats can get complete and balanced nutritional intake, while reducing feed production costs, making it a more environmentally friendly and economical choice.

Image classification is widely used in everyday life such as in car steering, closed-circuit television (CCTV), traffic cameras, etc. The implementation of image classification can be done using several methods, including neural network and support vector machine models. The neural network method is able to find the right weights that allow the network to show the desired behaviour while the support vector machine method has many dimensions and can overcome linear and non-linear data. In this research, feature extraction was carried out using VGG16 to increase accuracy. This research aims to find out how to implement the neural network and SVM algorithms to classify images and determine the results of analyzing the performance of the two methods. The data used in this study is secondary data consisting of 10 types of large wild cats with a total of 2339 training image datasets and 50 testing image datasets. The research stages consist of data augmentation, model design, model training, and model evaluation. Classification with the neural network model produced an accuracy of 96% and the support vector machine model produced an accuracy of 96%, which means that in a consistent training environment, the two models have the same performance.

Cats (Felis catus) are a type of carnivorous mammal from the Felidae family that was domesticated and has been one of the animals that has mingled with humans since time immemorial. Domestic cats are broadly divided into 2 types, namely village cats and purebred cats. Purebred cats have quite a varied number of types. Therefore, confusion often occurs in determining the type or breed of cat. Meanwhile, in practice, each race does not have the same treatment (especially in the aspect of care). In digital image processing, Machine Learning and Deep Learning are the main aspects in the process of applying technology that can overcome this problem, so research related to this problem was designed. This research was conducted to add insight for further research in a more sophisticated and effective image recognition process. In the experiments carried out in this research, the SVM, KNN, and CNN methods were tested with the Xception and EfficientNet-B1 architectures. Based on the final results obtained from this test, the CNN method with the Xception architecture is the best model. By using fine-tuning and a learning-rate of 1e-5, this method produces a micro average value of 0.974, on a cat breed image dataset of 13 classes and 7800 images. Meanwhile, the method that produces the fastest ETA Training and Testing is obtained by the KNN method, with an ETA Training time of 0.194 seconds, and an ETA Testing time of 1.782 seconds.      

Cats are one of the beloved animals that require care and development. As beloved animals, cats have their own charm thanks to their different body shapes, eyes and fur colors. Cats whose pedigrees are officially registered as purebred cats. Cats, in Latin Felis silvestris catus, are a type of carnivore. The word cat usually means a domesticated cat but can also refer to large cats such as lions, tigers and leopards. Cats have been mixed with human life for at least 6000 years BC, since cat skeletons were discovered on the island of Cyprus (Arquitectura et al., 2015).  One of the diseases that often appears in cats is feline lower urinary tract disease (FLUTD), also known as feline urological syndrome (FUS), which is a health problem that often occurs in cats, especially male cats. This health problem attacks the cat's bladder and urethra. Urethral disorders are caused by the structure of the male cat's urethra, which is tube-shaped and has a narrow section, which often causes obstruction of urine from the bladder (VU) to the outside of the body. FLUTD includes several diseases that occur in the cat's urinary tract (Indonesia, 2022).  Knowledge about diseases in cats is one of the problems. Many owners do not realize that their cats are suffering from diseases that can cause death. The cause of the cat's death occurred due to the keeper's lack of knowledge regarding the disease and symptoms the cat was experiencing. Apart from that, the problem is that there are so few doctors available that they are difficult to find, and the information obtained is only in accordance with the condition of the cat when it goes to the vet. If you see other symptoms, like it or not, you have to consult the veterinarian again and it will take additional time and money. This problem can be solved with an expert system that can diagnose the disease suffered by the cat based on the selected symptoms.

Currently, many people keep cats and dogs at home, in fact, according to research, keeping cats and dogs can relieve stress for pet parents. Cats and dogs are no longer just pets but are like family for pet parents. Veterinarians and pet shops are everywhere, this indicates that many people are starting to keep and love their cats and dogs. The need for technology regarding pets is also increasing, encouraging people involved in the IT world to create applications. One of the needs is how to design the right UX/UI for an application related to pets, especially cats and dogs. The intended users are pet parents. How can it be easy for pet parents to use this application so that pet parents get a user experience and user interface that is comfortable and enjoyable so that the purpose of creating the application can be achieved well. Comparing the 10 selected journals according to the criteria using the narrative review method, it was found that the second journal was the best among the other nine journals.    

In today's digital era, cats are one of the most popular pets in the community. Cats are cute and adorable animals and can even be believed to relieve stress and reduce tension after doing daily activities. As the number of people who keep cats increases, of course, this has an impact on the sale of cat feed which is quite increasing where many people are in the cat feed business because it is a promising business. Types of cat feed consist of dry feed and wet feed that can be sold both online and offline.

  This article analyzes the interpretations and metaphors on the lyric of Iwan Fals song. This research was also conducted using the hermeneutic  approach which showed that is  was descriptive. There are also metaphors used in the "Tikus-tikus Kantor" song such as mice, cats and shrimp. One of the interesting thing is that the lyrics of this song are not expressed clearly but uses figure of speech. Research has shown that the song is about public criticism of corruption by government officials and law enforcement agencies.