If They Only Disrespect Us a Little, and the Story is Interesting, I Keep Watching: Navigation of Ethnic Media Gratifications by Latino Teens

The goal of this study was to apply insights from social identity gratifications and ethnic/racial identity development frameworks to better understand how adolescents perceive, select, and avoid media content which has the potential to damage self-and group-concept. We conducted focus groups with 32 Latino adolescents aged 13 to 15. We found mixed evidence that youth prioritized the ethnicity of characters in program selection. Most referenced personality or age as the primary identity-based factors of interest. Although students widely recognized negative stereotypes of Latinos in mainstream English-language media, this did not overwhelmingly dictate media choices, seemingly due to lack of alternative choices. In contrast, Spanish language programming offered a positive alternative to English-language media and may serve identity needs. The theoretical and practical implications are discussed.

The influence of X fuzzy mathematical method on basketball tactics scoring

In the selection of basketball players, the determination of the selection index system and the weight of each index is an important prerequisite for whether the selection is scientific or not. Only when the index system is determined and the importance of each index is sorted reasonably can it be guaranteed that the basketball tactics scoring work went smoothly. This research introduces a method of X fuzzy mathematics, called analytic hierarchy process, or AHP for short. The AHP method can be used in regional planning, resource allocation, program selection, policy analysis, conflict analysis, forecast estimation, decision research, etc. The AHP method schematises the thinking process of the human brain analysis program, which can simply, comprehensively, effectively and clearly deal with complex problems restricted by many factors; it is also a quantitative tool that can be used for the measurement of the sports evaluation system.

Power Supply of Mariculture Complexes

The authors have developed a complex for the cultivation of marine aquatic organisms, including a coastal fry breeding plant and marine plantations in the water column on the deep-sea shelf, installed with a bottom anchor. The autonomy of the plant and marine plantations is ensured by the automation of technological processes with energy supply from renewable sources. The development is based on the task to expand the capabilities of mariculture by creating autonomous automatic installations for growing marine aquatic organisms with remote dispatch control and management. This solution provides the possibility of placement away from the coast and automatic program selection of the optimal immersion depth of cultivated aquatic organisms to intensify the growth of aquatic organisms and escape from the storm, and service by standard methods of the fishing fleet without diving operations. Solving this problem will increase the efficiency and scale of mariculture in food production and introduce into practice autonomous biotechnical systems for biological treatment of sea areas exposed to anthropogenic impact.

Basal Ganglia

The basal ganglia are a group of nuclei that are involved in motor, cognitive, and behavioral circuits and are especially important in motor program selection and motor learning. The key components of the basal ganglia and their circuitry include the striatum (putamen, caudate nucleus, and nucleus accumbens), globus pallidus (GP), subthalamic nucleus (STN), substantia nigra, pedunculopontine nucleus (PPN), and parts of the thalamus and cortex. The basal ganglia have parallel motor, oculomotor, associative, and limbic circuits. This chapter reviews the anatomy and circuitry of the basal ganglia.

An Automated Analytics Engine for College Program Selection using Machine Learning and Big Data Analysis

Because of the differences in the structure and content of each website, it is often difficult for international applicants to obtain the application information of each school in time. They need to spend a lot of time manually collecting and sorting information. Especially when the information of the school may be constantly updated, the information may become very inaccurate for international applicants. we designed a tool including three main steps to solve the problem: crawling links, processing web pages, and building my pages. In compiling languages, we mainly use Python and store the crawled data in JSON format [4]. In the process of crawling links, we mainly used beautiful soup to parse HTML and designed crawler. In this paper, we use Python language to design a system. First, we use the crawler method to fetch all the links related to the admission information on the school's official website. Then we traverse these links, and use the noise_remove [5] method to process their corresponding page contents, so as to further narrow the scope of effective information and save these processed contents in the JSON files. Finally, we use the Flask framework to integrate these contents into my front-end page conveniently and efficiently, so that it has the complete function of integrating and displaying information.

Complex intuitionistic fuzzy Maclaurin symmetric mean operators and its application to emergency program selection

Due to the indeterminacy and uncertainty of the decision-makers (DM) in the complex decision making problems of daily life, evaluation and aggregation of the information usually becomes a complicated task. In literature many theories and fuzzy sets (FS) are presented for the evaluation of these decision tasks, but most of these theories and fuzzy sets have failed to explain the uncertainty and vagueness in the decision making issues. Therefore, we use complex intuitionistic fuzzy set (CIFS) instead of fuzzy set and intuitionistic fuzzy set (IFS). A new type of aggregation operation is also developed by the use of complex intuitionistic fuzzy numbers (CIFNs), their accuracy and the score functions are also discussed in detail. Moreover, we utilized the Maclaurin symmetric mean (MSM) operator, which have the ability to capture the relationship among multi-input arguments, as a result, CIF Maclarurin symmetric mean (CIFMSM) operator and CIF dual Maclaurin symmetric mean (CIFDMSM) operator are presented and their characteristics are discussed in detail. On the basis of these operators, a MAGDM method is presented for the solution of group decision making problems. Finally, the validation of the propounded approach is proved by evaluating a numerical example, and by the comparison with the previously researched results.

Critical Evaluation of the Efficiency of Colorectal Fellowship Websites: Cross-Sectional Study (Preprint)

BACKGROUND Websites are an important source of information for fellowship applicants as they can influence ongoing interest and potential program selection. OBJECTIVE To evaluate the current state of colorectal fellowship websites. METHODS This cross-sectional study evaluates the quantity and quality of information available on websites of colorectal fellowship programs verified by the Accreditation Council for Graduate Medical Education in 2019. RESULTS A total of 63 colorectal fellowships were included for evaluation. Websites were surveyed for content items that previous study has found to be influential to program applicants. The 58 (91%) programs with a functional website were evaluated using an information index (calculated as a function of availability of content items concerning education, application, personnel, and benefits) and an interactive index (calculated as a function of accessibility and usability of the webpage). Programs had a median total score of 27.8 (interquartile range 21.5-34.5) out of 79. The median score for interactive index was 7.5 out of 15 and information index was 20 out of 64. The median scores for website application, education, personnel, and benefits or life considerations were 5, 5.5, 3.3, and 4 out of 13, 24, 13, and 14, respectively. There was no difference in total score between programs in different geographical regions. CONCLUSIONS Currently, colorectal surgery fellowship program websites do not provide enough content for applicants to make informed decisions. All training programs regardless of specialty should evaluate and improve their digital footprint to ensure their websites are accessible and provide the information desired by applicants.

Global Pandemic and PRS Residency Match: Can Social Media Fill the Void?

Background The type of content that influences plastic and reconstructive surgery (PRS) residency program selection and attracts applicants is everchanging and not clearly understood. Further, the COVID-19 pandemic had a major impact on residency selection that is undetermined. Objectives The purpose of this study was to determine to what degree and the type of PRS SM content that drives prospective applicants’ interest of a residency program, especially in the context of COVID-19. Methods Prospective PRS residency applicants were surveyed anonymously. Results An average of 60% of respondents reported that PRS social media (SM) content influenced their perception of a program. Fifty-eight percent reported that resident lifestyle content made them gain interest in a program. Separately, 32% reported that resident lifestyle content influenced them to rank a program higher. Seventy-two percent of respondents claimed SM content did not make them lose interest in a program. Rarely posting, outdated content, and lack of engagement were cited as factors for loss of interest in a program. A majority of respondents (53%) reported wanting to see more resident life and culture content on SM. Of the existing PRS SM content, respondents were most interested in resident lifestyle, followed by clinical and program-specific content. Conclusions The COVID-19 pandemic amplified the importance of SM PRS residency selection. Resident lifestyle content was consistently indicated as more likely to make respondents gain interest in a program, rank a program higher, and as the most desired content. PRS programs will benefit from highlighting resident camaraderie, quality of life, hobbies, and lifestyle to attract applicants.

Optimalisasi Pembenihan Ikan Nila Merah Nilasa Oreochromis sp. Di Ukbat Cangkringan, Yogyakarta

The aim of this study was to evaluate the optimization of Nilasa red tilapia fish Oreochromis niloticus breeding process at Work Unit Freshwater Aquaculture (WUFA) Cangkringan, Technology Development Center of Fisheries (TDCOF) Yogyakarta. Nilasa red tilapia fish is one of the commodity that has advantages, including respond to artificial feed, grow fast, can live with high density and resistance to disease. WUFA Cangkringan was one of the government fisheries center which develop nilasa red tilapia fish. The hatchery activities is including maintenance of the parentstock, spawning, larval rearing, harvesting and post harvest. Nilasa red tilapia fish was a test fish that used at the WUFA Cangkringan from red tilapia study and released under the name Nilasa in 2012, start from 1st generation (F-0) to the 5th generation (F-4) in the program selection. The survival rate resulting from the hatchery activities with seed 2-3 cm was 80% and the seed was sold at Rp50 fish-1. The profit obtained Rp150 699 688 year-1, R/C ratio 1,34 and payback period 9 month. Key word: nilasa red tilapia fish, breeding process, survival rate

Embedding Crowd-Vote as Knowledge Source to Support Decision Making on University Program Selection

Crowd-vote has implemented as a part of a university program recommendation system, complementing the aspect of knowledge management. The recommendation system is developed to support freshmen students’ decision making during program selection and uses for first time of enrolment. The challenges of decision-making among students is formed by many influential factors like family, agents, universities and others. Popular decision making models include rational, intuitive, among others. Rational models have series of sequential steps that involve a thinking process, while intuitive models are more on people experiences and recognition of the pattern based on what people believe and think how it will work. Other models attempt to combine both rational and intuitive aspects of decision. The challenge is foreseen in capturing experts’ opinion as part of students’ decision making, since experts are the good source of knowledge to strengthen the process. A prototype is developed for this purpose and constructive feedback from experts and students were collected to examine the significant use of crowd-vote using questionnaire survey. The objectives of this paper are to investigate the use of crowd-vote in leveraging decision making, and to evaluate the implementation of crowd-vote in supporting decision making during program selection. The results from expert opinions and students’ evaluation are discussed.