Academic literature on the topic 'Highest score'
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Journal articles on the topic "Highest score"
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Griffiths, Martin. "91.25 The highest score in the class." Mathematical Gazette 91, no. 520 (2007): 137–42. http://dx.doi.org/10.1017/s0025557200181215.
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Macilwain, Colin. "Democrats score highest in 'votes for science' review." Nature 383, no. 6598 (1996): 288. http://dx.doi.org/10.1038/383288b0.
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Viyayanti and Dwikoranto PakGuru. "Make a Match Techniques in Cooperative Learning: Innovations to Improve Student Learning Outcomes, Student Learning Activities and Teacher Performance." Studies in Learning and Teaching 2, no. 2 (2021): 35–46. http://dx.doi.org/10.46627/silet.v2i2.74.
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The purpose of this study is to describe improving student learning outcomes, describe student activities, describe teacher performance after applying the make a match technique in cooperative learning. This learning improvement is carried out by classroom action research, with steps of planning, implementing, observing, revising. The research subjects were 34 students in the chemistry class of Vocational School 1 Cerme Gresik. Data were analyzed descriptively quantitatively. The results of the class average score before the action was 70. Students who scored above the Minimum Completeness Criteria (MCC) 76 were 16 students (47%) with the highest score of 92 and students who scored below the MCC were 18 students (53%) with the lowest score of 40. After taking action in cycle 1 the average grade of 79. Students who scored above or equal to the MCC were 26 students (76%) with the highest score of 100 and students who scored below the MCC were 8 students (24%) with the lowest score of 52. Cycle 2 the average grade of 84. Students who scored above the MCC were 31 students (91%) with the highest score of 100, while students who scored below the MCC as many as 3 students (9%) with the lowest score of 64. The students' attention, activity, and enthusiasm for learning increased. Teacher performance in learning has increased.
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Siagian, Yudinar Ratnasari, Sutan Pulungan, and Novita Aswan. "Persepsi Kepuasan Konsumen terhadap Produk Kopi di UD. Tyyana Coffee." SOSMANIORA: Jurnal Ilmu Sosial dan Humaniora 3, no. 4 (2024): 464–69. https://doi.org/10.55123/sosmaniora.v3i4.4656.
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This research aims to analyze consumer satisfaction perceptions towards UD. Tyyana Coffee in Aek Sabaon Village, Tapanuli Selatan, conducted in May 2024 using accidental sampling and quantitative data analysis. Consumer satisfaction is measured based on loyalty, location, service, and coffee taste. The results show that customer loyalty falls into the "Satisfied" category with an average score of 3.60. The indicator of purchase frequency received the highest score (3.78), while repeat purchase frequency had the lowest (3.43), indicating opportunities for increasing loyalty. Regarding location, comfort received the highest score (4.53), but strategic location scored the lowest (4.04). Service was rated with an average score of 4.28, with friendliness as the highest aspect (4.30). Coffee taste showed the richness of coffee as the highest indicator (4.35), while flavor received the lowest score (4.05). Overall, consumers are satisfied with various aspects offered by UD. Tyyana Coffee, from a comfortable location and friendly service to its unique coffee taste.
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Metlek, Sedat, and Halit Çetiner. "Classification of Poisonous and Edible Mushrooms with Optimized Classification Algorithms." International Conference on Applied Engineering and Natural Sciences 1, no. 1 (2023): 408–15. http://dx.doi.org/10.59287/icaens.1030.
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Within the scope of this study, it is aimed to classify the mushroom species consumed as a staple food. For this purpose, 8124 mushroom data with 22 different mushroom feature information were used. 5686 of these data were used for training and 2438 for testing. In the study, poisonous and edible mushroom species were classified by random forest, decision tree, and logistic regression classification methods. The parameters used in the random forest and decision tree classification algorithms used in the study were optimized with the GridSearchCV optimization method. With the random forest algorithm, the highest precision, recall, and F1 score values are 0.93, 0.98, and 0.95, respectively. When these values are examined on a class basis, the highest distinctiveness results were obtained in the poisonous class. In the edible class, the highest performance results were measured as 0.97, 0.92, and 0.95 for precision, recall, and F1 score values, respectively. With the decision Tree algorithm, the highest precision, recall, and F1 score values are 0.98, 0.98, and 0.92, respectively. The highest precision, recall, and F1 score values of the best poisonous class are 0.90, 0.98, and 0.92, respectively. The best performance results of the edible class were obtained with the highest precision, recall, and F1 score values of 0.98, 0.89, and 0.90, respectively. The average accuracy rate was 0.9028 with the Logistic Regression algorithm, and the precision, recall, and F1 score values of the poisonous class were obtained as 0.86, 0.97, and 0.91, respectively. Precision, recall, and F1 score values of the Edible class were obtained as 0.96, 0.83, and 0.89, respectively.
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Ariokta, Patar Perdinand, Hafiziannor Hafiziannor, and Eva Prihatiningtyas. "PERSEPSI MASYARAKAT DESA SEKITAR HUTAN TERHADAP TAHURA SULTAN ADAM DAN KHDTK DIKLAT ULM." Jurnal Sylva Scienteae 3, no. 5 (2020): 928. http://dx.doi.org/10.20527/jss.v3i5.2561.
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The study aims to analyse public perceptions of the Sultan Adams Tahura and the Lambung Mangkurat University Research Forest (KHDTK ULM) existence in the Karang Intan sub-district of Banjar Regency. The research site is located in East Mandiangin Village, Mandiangin West Village and Kiram village, Karang Intan District, Banjar Regency. The research using descriptive methods with the questionnaire and the modification formula Levis, 2013 applied to analyse data. The result of this study indicated that the tribes who live surrounds the Sultan Adam Tahura and KHDTK ULM are Banjar tribe who work as farmers. The perceptions of the Mandiangin Barat community to Tahura Sultan Adam, is getting the highest score with an average score of 8.4, following Mandiangin Timur with an average score of 8 and Kiram wich scored 7.8; while the highest perception score to KHDTK ULM was found in the Mandiangin Timur Village an average score of 11.6, followed by the Mandiangin Barat scored 10, and Kiram scored 9.2. Overall perceptions are ranged from MEDIUM to GOOD category.Keywords: People’s perception, Tahura Sultan Adam, KHDTK ULM
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Munawarah, Munawarah, Anton Wijaya, Cindy Fransisca, Felicia Felicia, and Kavita Kavita. "Ketepatan Altman Score, Zmijewski Score, Grover Score, dan Fulmer Score dalam menentukan Financial Distress pada Perusahaan Trade and Service." Owner 3, no. 2 (2019): 278. http://dx.doi.org/10.33395/owner.v3i2.170.
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This research purpose to determine the accuracy among Altman, Zmijewski, Grover, and the Fulmer models in predicting financial distress, and to determine the most accurate prediction models to use in Trade and Service company. With the accuracy of the overall prediction model of 89.4%, this research will compare the four prediction models using real conditions of the company. The Data that used in this research are all form of annual financial reports published by companies on the Indonesia Stock Exchange website. The population used is Trade and Service’s company listed on the Indonesia Stock Exchange for the period 2013-2017. Purposive sampling used in this research to obtain 34 companies as research sample. This research compares four prediction models of financial distress using logistic regression analysis. According to the result of this research shows the accuracy between the Altman, Zmijewski, Grover, and Fulmer models to predict financial distress, which the highest level of accuracy is achieved by Zmijewski model and Fulmer model with a value of 100%, followed by Grover model with a value of 97% while Altman model with a value of 73,5%.
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Lau, Kim Lian, Siang Ching Ong, and Wan Salina Wan Sulaiman. "Comparison between parents’ and patients’ satisfaction level towards cleft management using Cleft Evaluation Profile." IIUM Journal of Orofacial and Health Sciences 2, no. 1 (2021): 37–45. http://dx.doi.org/10.31436/ijohs.v2i1.63.
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Cleft lip and palate (CLP) are common birth defects that occur in approximately 1 out of every 611 newborn in Malaysia. Cleft Evaluation Profile (CEP) is a well-established method used to evaluate the patient’s level of satisfaction with the CLP treatment that they received. This study aimed to compare the level of satisfaction of cleft patients and their parents towards cleft management in Kelantan, Malaysia. The results showed that the mean scores of CEP for the parents were between 2.04 and 3.00, whilst the patient’s mean score ranged from 2.01 to 3.04. In general, nose is the most dissatisfied feature for both patients and parents with the mean score of 3.04 for patients and 3.00 for parents. Teeth was the second highest (2.97) mean scores rated by parents but it was the third highest (2.84) mean score from the patients. Lip feature scored the third highest mean score for parents, and it was the second-highest mean score for patients. Hearing was the lowest mean score for both parents and patients. Both parties were aware of the features of their facial and nose appearance. From the weighted Kappa statistic, both the parent and patient pairs demonstrated good to very good agreement for their satisfaction towards the clinical outcome. In conclusion, features related to facial appearance (nose, teeth, lip and facial profiles) require more attention and improvement during the treatment process.
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Ariansyah, Imam, and Nurmala Nurmala. "ANALISIS PENILAIAN KESEHATAN KOPERASI SIMPAN PINJAM BERDASARKAN PERATURAN DEPUTI BIDANG PENGAWASAN KEMENTERIAN KOPERASI USAHA KECIL DAN MENENGAH No: 14/Per/DEP.6/IV/2016 PADA KOPERASI PEGAWAI KEJAKSAAN TINGGI SUMATERA SELATAN." Jurnal Ecoment Global 4, no. 2 (2019): 52. http://dx.doi.org/10.35908/jeg.v4i2.755.
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<p>This study aims to assess the health level of savings and loan cooperatives based on regulations of the superintendent of the ministry of cooperatives of small and medium enterprises No, 14 / per / DEP.6 /IV/2016 Padakoperasi high prosecutor's office in South Sumatra. The population in this study is a cooperative financial report, while the sample is the 2016-2018 period financial statement. Discussion of Research Results The Capital Value is obtained a score of 7.1 the average score of 1.50 the highest score with susceptible standards ≤ 51. get Predicate in Special Supervision. The Product Quality Asset Quality score is scored 10 with an average score of 10 with a score the highest 100 with vulnerable 80 ≤ X ≤ 100. Get a healthy predicate. Efficiency aspect obtained an average score of 3.33.% Of the maximum score of 4, the highest score of 100, with a range of 80 ≤ X ≤ 100. Got a healthy predicate, Liquidity Aspect obtained a score of 2.5 with a value of 25 Maximum score of 100, with a standard range rentang 51.00. Obtaining a Predicate under Special supervision, the Aspects of Independence and Growth obtained an average of 2.25 maximum score of 3 in the range of 66 ≤ X ≤ 80. Self-Aspect score = average 7 with a maximum score of 7 where the ratio is obtained with a standard range of 80 ≤ X ≤ 100. Get healthy predicate.</p><p>Keywords: Capital Aspect, earning assets, efficiency, liquidity, independence and growth, identity</p>
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Mondal, Himel, Devendra Nath Tiu, Shaikat Mondal, Rajib Dutta, Avijit Naskar, and Indrashis Podder. "Evaluating Accuracy and Readability of Responses to Midlife Health Questions: A Comparative Analysis of Six Large Language Model Chatbots." Journal of Mid-life Health 16, no. 1 (2025): 45–50. https://doi.org/10.4103/jmh.jmh_182_24.
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ABSTRACT Background: The use of large language model (LLM) chatbots in health-related queries is growing due to their convenience and accessibility. However, concerns about the accuracy and readability of their information persist. Many individuals, including patients and healthy adults, may rely on chatbots for midlife health queries instead of consulting a doctor. In this context, we evaluated the accuracy and readability of responses from six LLM chatbots to midlife health questions for men and women. Methods: Twenty questions on midlife health were asked to six different LLM chatbots – ChatGPT, Claude, Copilot, Gemini, Meta artificial intelligence (AI), and Perplexity. Each chatbot’s responses were collected and evaluated for accuracy, relevancy, fluency, and coherence by three independent expert physicians. An overall score was also calculated by taking the average of four criteria. In addition, readability was analyzed using the Flesch-Kincaid Grade Level, to determine how easily the information could be understood by the general population. Results: In terms of fluency, Perplexity scored the highest (4.3 ± 1.78), coherence was highest for Meta AI (4.26 ± 0.16), accuracy of responses was highest for Meta AI, and relevancy score was highest for Meta AI (4.35 ± 0.24). Overall, Meta AI scored the highest (4.28 ± 0.16), followed by ChatGPT (4.22 ± 0.21), whereas Copilot had the lowest score (3.72 ± 0.19) (P < 0.0001). Perplexity showed the highest score of 41.24 ± 10.57 in readability and lowest in grade level (11.11 ± 1.93), meaning its text is the easiest to read and requires a lower level of education. Conclusion: LLM chatbots can answer midlife-related health questions with variable capabilities. Meta AI was found to be highest scoring chatbot for addressing men’s and women’s midlife health questions, whereas Perplexity offers high readability for accessible information. Hence, LLM chatbots can be used as educational tools for midlife health by selecting appropriate chatbots according to its capability.
Dissertations / Theses on the topic "Highest score"
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Zhang, Liang-Cheng. "Economies of Scale and Scope in Higher Education." Thesis, Griffith University, 2017. http://hdl.handle.net/10072/366522.
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This thesis investigates economies of scale and scope in higher education. In a period of tighter budget constraints, declining government funding, and increasing competition for students, staff and non-commercial and commercial research funding, understanding the nature of any scale and scope economies in higher education is critically important for both policy change and ongoing institutional and structural reform. The thesis presents three separate but related research objectives to provide insights into this important area: first, an examination of new output sources of cost economies (including scale and scope) as they exist in the Australian higher education sector, second, an analysis of the link between university performance and cost economies, and finally, an evaluation of the factors affecting the estimated economies of scale and scope.<br>Thesis (PhD Doctorate)<br>Doctor of Philosophy (PhD)<br>Griffith Business School<br>Griffith Business School<br>Full Text
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Decker, Cole R. "Brand personality, congruency, and net promoter score: A university case study." Ohio University Honors Tutorial College / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ouhonors1460375965.
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Panus, Peter C., David W. Stewart, James Thigpen, Nicholas E. Hagemeier, and L. K. Brooks. "Self-Testing Improves Student Scores on Subsequent Exams." Digital Commons @ East Tennessee State University, 2013. https://dc.etsu.edu/etsu-works/1461.
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Jauk, Emanuel, and Scott Barry Kaufman. "The Higher the Score, the Darker the Core: The Nonlinear Association Between Grandiose and Vulnerable Narcissism." Frontiers Research Foundation, 2018. https://tud.qucosa.de/id/qucosa%3A31801.
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Narcissism is a truly Janusian phenomenon, consisting of both narcissistic grandiosity, exhibitionism, admiration-seeking, boldness, and dominance on the one hand, and narcissistic vulnerability, introversion, withdrawal, hypersensitivity, and anxiety on the other hand. While there is broad consensus that these two seemingly contradictory faces of narcissism can be empirically discerned and have different implications for psychological functioning and mental health, there is not yet agreement on whether grandiose and vulnerable narcissism should be regarded as independent traits or as two manifestations of one personality trait. Previous research indicates that both views hold true when the level of grandiosity is considered a moderating factor: while grandiose and vulnerable narcissism are largely unrelated in the range of normal personality variation, they are correlated in the range of high grandiosity (Jauk et al., 2017b). Here, we replicate and extend this work in an independent sample (N = 891) using a more comprehensive narcissism inventory grounded in a new trifurcated model of narcissism. The trifurcated model partitions narcissism into three main personality dimensions:
agentic extraversion, antagonism, and neuroticism. We found a significant breakpoint in the association between narcissistic grandiosity and vulnerability at 75% cumulative frequency of grandiosity. While grandiosity and vulnerability are unrelated below this breakpoint (r = 0.02), they are strongly correlated above (r = 0.45). In the lower range of grandiose narcissism, grandiosity draws more upon agentic extraversion and is largely associated with mental health. In the upper range, however, grandiosity is more strongly linked to antagonism and is substantially associated with fear, negative affect, and depression. These findings provide evidence for the view that grandiose and vulnerable narcissism are distinct traits at lower levels of grandiosity, but blend into an antagonistic core with signs of psychological maladjustment at higher levels. Implications for research on narcissism as a personality trait, as well as clinical practice, are discussed.
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Raphael, Mary Louise Longman 1949. "Keeping score: Restructuring rhetoric used in Fortune 500 companies and public Research I universities." Diss., The University of Arizona, 1998. http://hdl.handle.net/10150/282709.
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Researchers have discussed the problems of restructuring, the methods used to measure restructuring success, the effectiveness of restructuring efforts, and prescriptions for successful restructuring among specific types of organizations (for-profit and public non-profit). While some have suggested that different challenges face for-profit sector and public non-profit sector restructuring efforts, few have compared the restructuring processes in both sectors based on the statements made by organizational representatives. This research studies both the language of restructuring as used by university and corporate leaders and the actual results of the restructuring plans presented through the theoretical frameworks of isomorphism and resource dependency. The documents collected from each organization were limited to those prepared for public consumption and reflected the language used by top management or administrators. An approach, using multiple case studies, was employed to organize and focus the data collected. The use of individual cases provided the opportunity to examine specific restructuring strategies, language, and results used by different organizations functioning in different economic sectors. The language analysis looked for the expression of different or similar organizational values expressed during the course of restructuring. The organizations studied all underwent recent restructuring efforts, and included two Research I universities and three Fortune 500 businesses. This research indicated that the public rhetoric of restructuring may not reflect the actual activities of restructuring taking place within an organization. Even though the business literature and many businesses themselves have extolled the benefits of a more collaborative management style since the early 1980's, and legislatures have encouraged public universities to be more business-like since the early 1990's, and though much of the rhetoric reflected these pressures, the actual management processes showed very little change in either group. A movement toward one another in management style was not found in these organizations. All five organizations structured rhetoric to satisfy their constituents, all five organizations maintained their traditional management and decision making styles, and, at the end of the restructuring period, all five organizations were still trying to find ways to improve their organizational outcomes.
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Thigpen, James, Peter C. Panus, Nicholas E. Hagemeier, L. K. Brooks, and David W. Stewart. "Self-Testing Improves Exam Scores Regardless of Self-Testing Average." Digital Commons @ East Tennessee State University, 2012. https://dc.etsu.edu/etsu-works/1466.
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Objectives: To determine if there is a relationship between the number of self-testing attempts and subsequent exam grade in a pharmacy course. Method: A total of 1,342 multiple choice questions were developed for pharmacy students to self-test for a pathophysiology course. Prior to each examination, students were allowed to take online quizzes which were randomly generated and related to the exam content. Quizzes were scored immediately, and students were shown the incorrect questions along with all answer choices. A matrix of intercorrelations and repeated measures ANOVA, with post hoc tests, was generated using PASW Statistics Version 19 (IBM, Armonk, NY) to evaluate all variables. Results: 77 of 79 students (97.5%) participated, resulting in a total of 7,042 attempts. Non-participants were assigned a zero. There were variations in both the average practice attempts (18 – 30) and subsequent exam grade (82 – 90) on the 4 exams. However, a significant correlation (p ≤ 0.05) existed between number of attempts and each exam grade (R = 0.478, 0.426, 0.385, and 0.218). For each exam, students were stratified into the upper and lower 50%, according to the number of self-test attempts. On all four exams the lower 50%, based solely on attempts, scored significantly lower (p ≤ 0.05) on the subsequent exam based on a two group T-test. Implications: Although self-testing strategies increase recall ability, this strategy is uncommon in pharmacy education. These results suggest that the number of self-testing attempts improves subsequent exam grade, regardless of the score for the self tests. Read More: http://www.ajpe.org/doi/full/10.5688/ajpe76599
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Bynum, Katherine E. "Weeding Out the Undesirables: the Red Scare in Texas Higher Education, 1936-1958." Thesis, University of North Texas, 2014. https://digital.library.unt.edu/ark:/67531/metadc699918/.
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When the national Democratic Party began to transform to progressive era politics because of the New Deal, conservative reactionaries turned against the social welfare programs and used red scare tactics to discredit liberal and progressive New Deal Democrat professors in higher education. This process continued during the Second World War, when the conservatives in Texas lumped fascism and communism in order to anchor support and fire and threaten professors and administrators for advocating or teaching “subversive doctrine.” In 1948 Texas joined other southern states and followed the Dixiecrat movement designed to return the Democratic Party to its original pro-business and segregationist philosophy. Conservatives who wanted to bolster their Cold Warrior status in Texas also played upon the fears of spreading communism during the Cold War, and passed several repressive laws intended to silence unruly students and entrap professors by claiming they advocated communist doctrine. The fight culminated during the Civil Rights movement, when conservatives in the state attributed subversive or communist behavior to civil rights organizations, and targeted higher education to protect segregated universities. In order to return the national Democratic Party to the pro-business, segregationist philosophy established at the early twentieth century, conservatives used redbaiting tactics to thwart the progressivism in the state’s higher education facilities.
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Rappold, Sally McHugh. "The Effect of Nursing Education on Emotional Intelligence Scores." Thesis, University of Montana, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10744602.
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<p> The purpose of this research study was to examine the difference between three levels of nursing students (sophomore, junior, senior) and their assessed emotional intelligence (EI) scores. A quantitative, quasi-experimental study was conducted with a population of nursing students from five separate campuses at Montana State University, and a control group of education students at the University of Montana. The following research question was explored in this study: What difference, if any, does nursing education have on the emotional intelligence scores of sophomore, junior, and senior Bachelor of Science in Nursing (BSN) students? Students voluntarily completed the online EQ-i 2.0 assessment resulting in composite standard scores with a mean of 100 and a standard deviation of 15 calculated for the total, scale and subscale EI scores. Mean total standard EI scores were 103.59 (nursing students, n = 51) and 94.43 (education students, n = 7). A one-way analysis of variance (ANOVA), analysis of covariance (ANCOVA), and correlational statistical analyses were conducted. No statistically significant difference was found between the sophomore, junior, and senior students and their assessed EI scores. However, further analysis showed that a moderately strong positive correlation existed between participants’ ages and EI scores: (<i>r</i> = .34, <i> n</i> = 51, <i>p</i> =. 02) with <i>R</i><sup> 2</sup> = 0.11. </p><p>
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Oates, Krystle S. "A logistic regression analysis of score sending and college matching among high school students." Diss., University of Iowa, 2015. https://ir.uiowa.edu/etd/1994.
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College decisions are often the result of a variety of influences related to student background characteristics, academic characteristics, college preferences and college aspirations. College counselors recommend that students choose a variety of schools, especially schools where the general student body matches the academic achievement of students. These types of schools are generally referred to as match schools.
This thesis examined the initial college decisions of high school students in a large Midwestern state, who were an academic match for selective and highly selective schools by observing the student characteristics that were most influential in predicting college matching for students’ initial first choice institution. This thesis also observed college enrollment among students who chose a match school as their first choice institution, college matching over a time period from 1992 to 2013, and college matching after the implementation of a state initiative designed to help students apply for college.
Logistic regression along with descriptive statistics were used as the primary analyses for college matching. Results from these analyses showed that students belonging to underrepresented minority groups had odds of college matching for their first choice institution that were significantly greater than white students. Students whose parents earned at least a bachelor’s degree had odds that were significantly greater than students whose parents had not earned a bachelor’s degree. Also, students whose coursework included calculus and physics, and students who planned to earn a graduate degree had significantly greater odds of matching on their first choice institution than students who were not a part of these respective groups. Among students in the sample who chose a match school for their first choice institution, students who had at least one parent earn up to a bachelor’s degree were significantly more likely to enroll in a match school. Also, the percentage of students at a single high school who were eligible for free and reduced lunch were negatively associated with the odds of students enrolling in a match school.
To observe score sending among students to their first choice institution over time an additional variable, “year” was added to the logistic regression model to compare the years of 2000, 2008 and 2013 to 1992. The results of this logistic regression analysis showed that students’ odds of choosing a match school for their first choice institution were significantly lower in 2008 and 2013 than in 1992. College matching for students who attended high schools serviced by the state initiative were compared using the percentage differences in college matching before and after the implementation of the program. However, results could not be interpreted with certainty due to the small size of the sample.
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Smith, Laura Dandar. "Florida's College Placement Test reading scores as an essential indicator for successful completion of the highest college preparatory course in reading." [Tampa, Fla] : University of South Florida, 2007. http://purl.fcla.edu/usf/dc/et/SFE0001892.
Full textBooks on the topic "Highest score"
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Bardin, Matt. Zen in the art of the SAT: How to think, focus, and achieve your highest score. Houghton Mifflin, 2005.
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Bardin, Matt. Zen in the art of the SAT: How to think, focus, and achieve your highest score. Houghton Mifflin, 2005.
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Bardin, Matt. Zen in the art of the SAT: How to think, focus, and achieve your highest score. Houghton Mifflin, 2005.
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Branch, Historical Association Bristol, ed. A season's fame: How A.E.J. Collins of Clifton College in 1899 made cricket's highest individual score. Bristol Branch of the Historical Association, 1991.
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Charles, Piemonte, and Lawrence Marcia, eds. Acing the new SAT: Breakthrough strategies for the highest scores. Plume, 1994.
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1957-, Adams Paul, Openshaw Roger, and Trembath Victoria 1957-, eds. Score more: Essential academic skills for tertiary education. Thomson/Dunmore Press, 2006.
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Hughes, Carla Blyth. Top the TOEFL test: Ten days to a higher score. Prentice Hall Regents, 1994.
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Publishing, Kaplan. Inside the new SAT: 10 strategies to help you score higher. Simon & Schuster, 2004.
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Moesta, Rebecca, and Kevin J. Anderson. Highest Score: Star Trek: Deep Space Nine #8. Aladdin, 1996.
Find full textBook chapters on the topic "Highest score"
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Brubakk, A. O., and J. E. Jacobsen. "HADES, Highest Accumulated Decompression Score." In SUBTECH ’91. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3544-3_25.
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Zhou, Xiao-Nong, Xiaokui Guo, and Xiaoxi Zhang. "Findings and Recommendations." In Global One Health Index Report 2022. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-4824-2_5.
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AbstractThe global One Health index (GOHI) study provides an extensive assessment of health interrelations among humans, animals, and the environment. Globally, the average GOHI score is 54.82, signaling substantial room for improvement. The study reveals marked disparities in GOHI scores across various regions and countries, suggesting uneven performances in managing health issues in the interface of human, animal and ecosystem. In examining specific nations, Oman’s commendable efforts in animal and environmental health contrast its human health performance, while Singapore excels in human health but lags in environmental health. Among the GOHI-Governance indicators, consensus-oriented methods score highest, but the formation of specialized One Health associations is lacking. The GOHI-Zoonoses score is notable, but the route of transmission indicator highlights weaknesses in managing zoonotic disease pathways. These findings underscore the need for robust international cooperation, enhanced data sharing mechanisms, and the translation of One Health research into actionable policies. The study’s limitations include potential data collection biases and the need for further validation of the GOHI framework.
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Zhou, Xiao-Nong, Xiaokui Guo, and Xiaoxi Zhang. "GOHI Dashboard." In Global One Health Index Report 2022. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-4824-2_3.
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AbstractThe global One Health index (GOHI) assesses One Health approaches across human, animal, and environmental sectors. Significant disparities in GOHI performance exist worldwide, with the United States achieving the highest score (70.61) and Guinea-Bissau the lowest (39.03). Overall, the global average score stands at 54.82, suggesting considerable room for improvement in One Health practice. Notably, income levels correlate with One Health performance, with high-income regions like North America, Europe, and East Asia achieving better scores than low-income regions such as sub-Saharan Africa. Despite variations, no country reached the optimal score in all indicators of core drivers index. The study further emphasizes the importance of international cooperation, especially between high- and low-income countries, to enhance One Health outcomes. The pandemic has highlighted the significance of global collaboration in tackling health crises. Moreover, there is an evident need to bolster data capacity at a global level, ensuring transparency and comprehensive data coverage, particularly in animal and environmental health sectors. Lastly, a more unified and consolidated governance structure for One Health is recommended, underscoring the urgency of translating One Health policies into actionable strategies across different levels of governance.
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Sigurðardóttir, Ingibjörg, and Anna Lilja Pétursdóttir. "The visitor experience at a horse event." In Humans, horses and events management. CABI, 2021. http://dx.doi.org/10.1079/9781789242751.0088.
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Abstract The demand side of horse (sport) events, that is visitor expectations, experiences and satisfaction, has not been the subject of much research. This chapter focuses on visitor experience and satisfaction at Landsmót (the National Championship of the Icelandic horse), held in Iceland in Hella (2014), Hólar (2016) and Reykjavík (2018). An online survey was conducted among visitors following those three events where a total of 2318 visitors responded. Findings indicated the importance of intangible services at the venue and service-mindedness of staff. High demand for horse-related products and equipment was reported at the venues during the events, as well as demand for clothes and other products related to weather conditions during the events. Visitors desired greater variety of meals and access to a grocery store at the venues. There was a considerable difference in visitor satisfaction between the three events investigated. The 2016 event in Hólar ranked the highest in all factors evaluated, except those related to the shopping area where visitors wanted more variety of products. The score of the 2016 event for overall visitor satisfaction was 4.39 (out of 5). The 2018 event in Reykjavík scored 4.21 whereas the 2014 event in Hella ranked 3.64.
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Montassar, Imen, Belkacem Chikhaoui, and Shengrui Wang. "Agitated Behaviors Detection in Children with ASD Using Wearable Data." In Digital Health Transformation, Smart Ageing, and Managing Disability. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43950-6_8.
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AbstractChildren diagnosed with Autism Spectrum Disorder (ASD) often exhibit agitated behaviors that can isolate them from their peers. This study aims to examine if wearable data, collected during everyday activities, could effectively detect such behaviors. First, we used the Empatica E4 device to collect real data including Blood Volume Pulse (BVP), Electrodermal Activity (EDA), and Acceleration (ACC), from a 9-years-old male child with autism over 6 months. Second, we analyzed and extracted numerous features from each signal, and employed different classifiers including Support Vector Machine (SVM), Random Forest (FR), eXtreme Gradient Boosting (XGBoost), and TabNet. Our preliminary findings showed good performance in comparison with the state of the art. Notably, XGBoost demonstrated the highest performance in terms of accuracy, precision, recall, and F1-score. The accuracy achieved in this paper using XGBoost is equal to $$80\%$$ 80 % which exceeds previous research.
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Rahman, M. R., F. S. Hosseini, P. Taleghani, M. Ghassemi, and M. Chizari. "Design and Prototype an Educational Proton-Exchange Membrane Fuel Cell Model." In Springer Proceedings in Energy. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-30960-1_22.
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AbstractProton-exchange membrane (PEM) cells fuel cells are being used as highly efficient and zero-emission power units to produce electricity from a renewable source. The purpose of the current study is to present the design of a simple PEM type fuel cell model that can be used in an educational environment. The study has illustrated possibility of the design through a product design specification (PDS) process. Three different designs were studied and ranked based on design parameters such as cost, environmental safety, size and weight, educational application etc. Then the highest score design was selected. The selected design then improved by utilizing a 3D computer modelling to come up with the final design. The developed design was then manufactured in house and assembled to form a full functional prototype. The model then was tested, and outcome was compared against existing fuel cell models. Test results show that the prototype can produce reasonable amount of electricity. However, the efficiency of the higher heating value and lower heating value of hydrogen was about 15% less compared to the existing fuel cell model. Furthermore, there are some concerns about the controlling combustible and flammable gas which need to be consumed immediately inside the system instead of storing the gas. The project is under development to be safe enough for any educational environment.
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Chabane, Nail, Mohamed Achraf Bouaoune, Reda Amir Sofiane Tighilt, Bogdan Mazoure, Nadia Tahiri, and Vladimir Makarenkov. "Using Clustering and Machine Learning Methods to Provide Intelligent Grocery Shopping Recommendations." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-09034-9_10.
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AbstractNowadays, grocery lists make part of shopping habits of many customers. With the popularity of e-commerce and plethora of products and promotions available on online stores, it can become increasingly difficult for customers to identify. products that both satisfy their needs and represent the best deals overall. In this paper, we present a grocery recommender system based on the use of traditional machine learning methods aiming at assisting customers with creation of their grocery lists on the MyGroceryTour platform which displays weekly grocery deals in Canada. Our recommender system relies on the individual user purchase histories, as well as the available products’ and stores’ features, to constitute intelligent weekly grocery lists. The use of clustering prior to supervised machine learning methods allowed us to identify customers profiles and reduce the choice of potential products of interest for each customer, thus improving the prediction results. The highest average F-score of 0.499 for the considered dataset of 826 Canadian customers was obtained using the Random Forest prediction model which was compared to the Decision Tree, Gradient Boosting Tree, XGBoost, Logistic Regression, Catboost, Support Vector Machine and Naive Bayes models in our study.
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Bowen, Meirio. "The Score." In Tippett on Music. Oxford University PressOxford, 1995. http://dx.doi.org/10.1093/oso/9780198165415.003.0022.
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Abstract If you look at a printed copy of one of my large-scale works, such as one of the symphonies, you are likely to regard it as a finished entity. It has many pages; it has many thousands of notes. Now those notes have been invented by me as a series of instructions to enable people with the requisite skills to perform the work. I have, in principle, nothing to do with the performance: my concern is simply with invention. The instructions must of course be accurate, precise to the last possible detail—though on reflection that last detail is not totally realizable. There are limits to which music can be considered an exact science; there are many pitfalls in the intermediary processes between invention and realization. Far more so than the context and manner in which a painter’s canvas is exhibited—size of room, companion pictures (if any), methods of lighting, and so forth—music enters a somewhat indefinite region when it is performed. Many factors will remain outside the composer’s control: the acoustics of the hall, the extent of the performers’ accomplishment and commitment to the highest ideals, and so on. In theory, the matter could be solved partially by a series of legal injunctions, supetvised by the composer and publisher while still alive, and by appointed trustees during a designated period after his or her death. Some have taken that course. But what an atmosphere it creates! The guide-lines I am offering here are meant not to restrict but to stimulate: to give some background information that facilitates an informed approach to the scores and helps illuminate certain matters of style.
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Bunnaen, Wutthisak. "The Development Biology Authentic Learning of Mahasarakham University Demonstration School (Secondary). Thailand." In Active Learning [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98772.
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The research study Development of Authentic Biology Learning Activities, Mahasarakham University Demonstration School (Secondary). The sample group consisted of 160 students in grade 10 students, Science-Mathematics major, 160 students, divided into experimental groups of 80 people and 80 control groups from purposive sampling. The instruments used in research is a set of authentic biology learning activities, the biology knowledge tests and attitude questionnaire. The research used experimental process (Quasi-experimental Design Research) Quasi-equivalent control group design. The results of comparative analysis of the average test results of biology knowledge Before and after learning of students in the experimental group It was found that before the students had an average score of 8.96 and the post-test results in the experimental group students had an average score increased to 12.98, with the average after learning scores increased significantly at the level of .05. The biology knowledge test before and after learning found that the students in the experimental group average score from the biology knowledge test after learning higher than students in the control group with statistical significance at the level of.05 and the results of attitudes towards the arrangement of authentic learning biology learning activities of grade 10 students in the experimental group found that in almost all questions, the average score of the score is greater than 4.51 Which is at the highest level and the overall average score is 4.74 which is at the highest level show that. The organizing of authentic learning activities in biology for grade 10 students, gives students a better understanding of the learning content with scores from higher knowledge tests therefore, is an effective way to organize learning activities for students that can be applied with other courses.
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Bohnet Bernd. "Graph-based and Transition-based Dependency Parsers with Hash Kernels." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2013. https://doi.org/10.3233/978-1-61499-352-0-170.
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In this paper, we compare a higher order graph-based parser and a transition-based parser with beam search. These parsers provide a higher accuracy than a second order MST parser and a deterministic transition-based parser. We apply and compare the output on languages, which have not been in the research focus of Shared Tasks. The parser are implemented in a uniform framework. The transition-based parser was newley implemented and we revised the graph-based parser. The graph-based parser has to our knowlege the highest published scores for French and Czech with 90.40 and 81.43 labeled accuracy score.
Conference papers on the topic "Highest score"
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Siyanbola, Sikiru Abdulganiyu, Olamide Mercy Oluwatade, and Emmanuel Emeka Okafor. "Predictive Modelling for Optimizing Wind Turbine Performance and Structural Health Monitoring: Adapting Turkish SCADA Data for Sub-Saharan Africa." In Africa International Conference on Clean Energy and Energy Storage. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-7eveuy.
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This research investigates the application of AI-enhanced structural health monitoring (SHM) systems to predict and optimize the performance and reliability of wind turbines in Sub-Saharan Africa power generation. Supervisory Control and Data Acquisition (SCADA) systems data from a Turkish wind turbine were leveraged to develop a predictive model using the eXtreme gradient boosting (XGBoost) algorithm. Wind speed data from the Turkish wind turbine was substituted with wind speed data of some selected locations in Sub-Saharan Africa (Katsina, Nigeria; Addis Ababa, Ethiopia; Dakar, Senegal; and Cape Town, South Africa). The performance of the models was evaluated using Mean Absolute Percentage Error (MAPE) and the coefficient of determination (R²). The findings show a 0.95% decrease in predicted power output for all the selected locations. The adapted model achieved a MAPE of 1.1% for Addis Ababa, 1.25% for both Cape Town and Katsina, and 1.17% for Dakar, while achieving a high R² of 0.96 for all the locations, indicating high predictive accuracy. In scenarios with high wind speed, Dakar has the highest prediction of 3691.09kW, achieving a 1.03% increase compared to Turkey with a predicted power output of 3583.69kW. Cape Town achieved better prediction accuracy, with a MAPE of 0.78% and R² of 0.98, while yielding a power output of 3545.67 kW. The model achieved F1-Score, Accuracy, sensitivity, precision, and selectivity scores of 99.87%, 99.75%, 99.93%, 99.81%, and 4.85% respectively. This study shows there is vast potential for employing machine learning models in enhancing the operational efficiency of wind turbines. Future study is recommended to incorporate local SCADA data across different wind farms in Sub-Saharan Africa.
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Ivošević, Željana, Boris Radovanov, and Aleksandra Marcikić Horvat. "The Efficiency Analysis of Agricultural Production in the European Union." In 29th International Scientific Conference Strategic Management and Decision Support Systems in Strategic Management. University of Novi Sad, Faculty of Economics in Subotica, 2024. http://dx.doi.org/10.46541/978-86-7233-428-9_393.
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In this paper authors examine relative technical efficiency of agricultural production in the European Union using Data Envelopment Analysis (DEA). Output oriented DEA model with variable return to scale has been applied. Four input variables were used in the model: labour, pesticides, fertilizers and used land. Production has been used as the only output variable. Results of this analysis indicate that the efficiency score values lie between 9% and 100%, with the average efficiency score of 52%. Slovenia, Estonia, Germany and Malta are characterized with the highest efficiency scores, while Cyprus, Finland and Ireland have the lowest efficiency score values. Policymakers can utilize this paper's findings to determine what elements enhance or diminish agriculture's efficiency.
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Mogaji, Andrew. "Goal-Setting and Task Performance among Nigerian Managers in a Cross-Cultural Context." In International Association of Cross Cultural Psychology Congress. International Association for Cross-Cultural Psychology, 2014. http://dx.doi.org/10.4087/esoe3786.
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This study assessed goal-setting and task performance among Nigerian managers. Data were collected from 521 subjects including 176 Yoruba, 147 Igbo and 198 Hausa/Fulani managerial employees in Lagos, Nigeria. The relevant scales of the 57-item questionnaire designed by Mendonca and Kanungo (1994) were used to obtain measures of the dependent variables. Mean scores in goal setting and performance-intrinsic reward contingency were highest among the Yoruba managers followed by Hausa/Fulani and Igbo managers respectively. Mean score in task significance was highest among the Igbo managers followed by Yoruba and Hausa/Fulani managers respectively. Mean score in performance-extrinsic reward contingency was highest among the Hausa/Fulani managers followed by Yoruba and Igbo managers respectively. One-way ANOVA showed cultural differences in performance-intrinsic reward contingency (p< .05) and task significance (p< .01) but not in goal-setting and performance-extrinsic reward contingency respectively. The results were discussed in terms of the influence of culture on human resources management practices and that managers who value performance-intrinsic reward allocation should engage in goal-setting more than the others.
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Rudder, Marc, Amanda Kissoon, and Indira Rampaul-Cheddie. "Raising the National Average for Asset Integrity Management in the Energy Sector of a Small Island Developing State." In SPE Trinidad and Tobago Section Energy Resources Conference. SPE, 2021. http://dx.doi.org/10.2118/200934-ms.
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Abstract In 2015 and 2016, the Ministry of Energy and Energy Industries (MEEI) undertook a National Facilities Audit (NFA) to augment the periodic audit exercises of the Ministry. This Audit was the first of its kind conducted in Trinidad and Tobago and involved upstream, midstream and downstream energy sector companies. Some companies scored highly in the Audit, some were average and others below average. This paper will provide guidance to operators who scored below the average so that they can make the necessary adjustments to improve their Asset Integrity scores to above average and beyond in future. The selected consultant who performed the NFA developed a standardized audit protocol to audit all the companies. The MEEI set up a Steering Committee to oversee the execution and delivery of the audit to ensure it was conducted within the project's objectives. The consultant and MEEI representatives conducted joint audits, which involved document reviews, interviews and site visits. A Systems and Equipment Audit was conducted followed by a site visit. The project lasted 9 months, a total of 30 audits were conducted during the period, and a report prepared and presented to the MEEI by the consulta nts with the findings and recommendations. Scores were assigned to various categories in both the System and Equipment Audits, which contributed to a System score and Equipment score. From these two scores, an overall score was determined. The audit found that Asset Integrity Management (AIM) systems showed a wide variation across the industry, international companies were typically more advanced with AIM than domestic companies, the state-owned companies had the lowest scores and Joint Venture companies generally had the highest scores. Generally, many companies did poorly in the audit due to lack of proper documented internal procedures with respect to Asset Integrity. Companies that did well had well-documented procedures for process safety management. The paper will show the benefit of conducting a nationwide Asset Integrity Audit that can inspire other countries to consider doing likewise and thus encourage improved Asset Integrity Management in the global energy sector. The paper will go into the details of the audit so that in future companies would be more prepared for a similar type of audit, and who show significant improvements with their scores.
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Skvorcova, Olga, Anna Stavicka, and Indra Odiņa. "Subjective Well-Being of International Students in Latvian Higher Education Institutions." In 78th International Scientific Conference of University of Latvia. University of Latvia, 2020. http://dx.doi.org/10.22364/htqe.2020.18.
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Students’ well-being and life satisfaction have been the crucial trends in research and practice over the last decades. Often students, who come to study to another country encounter several challenges in the process of integration in the new host country environment. The article deals with the part of the broader research which aimed at fostering international students’ integration in the environment of the host country – Latvia. The aim of this article is to explore international students’ satisfaction as well as the problems they have encountered in Latvian higher education institutions and thus find out the level of their subjective well-being according to Ryff’s (1989) stated indicators: autonomy, environmental mastery, personal growth, positive relations with others, purpose in life, and self-acceptance. The data reveal the average score 5.6 out of highest score 7 and the highest scores are for self-acceptance and positive relations with others. The research also coincided with the beginning of the outbreak of COVID-19 pandemic, thus influencing the number of respondents and representation of the countries in the research sample. The research was conducted in the framework of the project “Multilingual and Multicultural University: Preparation Platform for Prospective International Students” (No. 1.1.1.2/ VIAA/1/16/019) co-funded by ERDF.
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Zheng, Honglin, Xinfang Ma, Shicheng Zhang, Yong Liu, Delong Guo, and Hai Lin. "Research on Recognition Method of Fracturing Dessert of Algaeolite Reservoir in Qaidam Basin." In International Geomechanics Symposium. ARMA, 2022. http://dx.doi.org/10.56952/igs-2022-042.
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Abstract Fengxi structure in Qaidam basin is a low porosity and ultra-low permeability reservoir mainly composed of algal limestone on the land of China. Algal limestone is thin and distributed dispersedly. There are problems such as inaccurate dessert identification and large difference in single well production during fracturing. In this paper, reservoir analysis is carried out through cutting electron microscope scanning experiment and core test experiment to obtain and correct various parameters characterizing geological and engineering desserts. A prediction model of algal limestone reservoir fracturing desserts is established by combining the advantages and disadvantages solution distance method (TOPSIS) with the analytic hierarchy process (AHP), and dessert point grades are classified. According to the calculation results, Fengxi Block is generally at the level of Class III and IV desserts, and the artificial fractures are mainly multi fractures near the well and single fractures. Compared with adjacent wells, this method reduces the construction pressure by 10.1% and increases the production by 49.7% after well selection and formation selection, realizing the purpose of precise stimulation of reservoir desserts, and providing a new idea for efficient development of algal limestone reservoirs in Qaidam Basin. Optimization of Dessert Attribute Parameters There are many influencing parameters involved in the identification of fracturing desserts, including geological attributes and engineering attributes (Huang J.L, 2012). In order to accurately screen out the attribute parameters representing dessert, the scoring method is adopted to quantify the score of each attribute one by one, and the attribute parameter with the highest score is selected as the basis for dessert recognition. Attribute scoring methods include accuracy scoring, representation range scoring, and necessity scoring (Han F.P.et al,2019). In the accuracy score, the accuracy of the parameters obtained by the direct measurement method is high, and the score is 3 points; The accuracy of parameters obtained through inversion of relevant data is medium, and the score is 2 points; The score of other data with poor accuracy is 1 point. In the score of characterization range, the parameter that can represent the continuous well section is scored as 2 points, and the parameter that can only represent the specific depth is scored as 1 point. In the necessity score, the parameter with high importance is scored as 2 points, and the parameter with low importance is scored as 1 point.
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Suryani, Y. E., N. H. P. S. Putro, H. Retnawati, and Zh Khamit. "Cognitive Abilities of Senior High School Students." In Challenges of Science. Institute of Metallurgy and Ore Beneficiation, 2023. http://dx.doi.org/10.31643/2023.08.
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The Scholastic Assessment Test is a test used to measure cognitive abilities. The Scholastic Assessment Test predicts prospective students who are able to complete their studies in college well and on time. This study aims to (1) describe the cognitive abilities of high school students through the scores of the Scholastic Assessment Test on Computer-Based Written Examination in 2021; (2) find out the subtest that has the most influence on the Scholastic Assessment Test score. This study uses secondary data, namely the mean score of the SMA/MA Scholastic Assessment Test in the province of Yogyakarta Special Area which is included in the Top 1000 results of the 2021 Computer-Based Written Examination. In the Province of Yogyakarta Special Area, there are 83 schools that fall into the Top 1000 category with details: 28 Senior High Schools in Yogya City, 23 schools in Sleman Regency, 18 schools in Bantul Regency, 7 schools in Gunung Kidul Regency, and 7 schools in Kulon Progo Regency. The data analysis methods used in this study were descriptive statistics and multiple regression analysis. The results of data analysis show that the highest average of students’ cognitive ability in the low group is reading comprehension and writing ability, in the medium group the highest average is reasoning ability, and in the high group, the highest average is quantitative ability. Based on the results of the regression analysis, it can be seen that the reasoning ability subtest has the greatest contribution to the Scholastic Assessment Test scores of high school students in the Special Area of Yogyakarta.
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Chagas, Paulo, Luiz Souza, Izabelle Pontes, et al. "Deep-learning-based membranous nephropathy classification and Monte-Carlo dropout uncertainty estimation." In Simpósio Brasileiro de Computação Aplicada à Saúde. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/sbcas.2021.16070.
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Membranous Nephropathy (MN) is one of the most common glomerular diseases that cause adult nephrotic syndrome. To assist pathologists on MN classification, we evaluated three deep-learning-based architectures, namely, ResNet-18, DenseNet and Wide-ResNet. In addition, to accomplish more reliable results, we applied Monte-Carlo Dropout for uncertainty estimation. We achieved average F1-Scores above 92% for all models, with Wide-ResNet obtaining the highest average F1-Score (93.2%). For uncertainty estimation on Wide-ResNet, the uncertainty scores showed high relation with incorrect classifications, proving that these uncertainty estimates can support pathologists on the analysis of model predictions.
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Yiran, Zhang. "Visual effects based on blank fractions in the case of multi-paragraph text overlay images." In Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1002829.
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Multi-segment text overlay images are commonly used in web design, poster layout and other design-related activities. In this paper, we use a character-based blank score calculation model and a text box-based blank score calculation model to investigate which model is more effective in reflecting visual aesthetics in the case of multi-part text overlay images. The text-frame-based blank-score model was found to be more effective in reflecting the visual perception of the subjects by using the fitting tool in MATLAB to fit the subjective scores and the calculated blank scores. The text box in the text box-based blank score model was then optimized by eliminating the part of the last line of each paragraph that was not filled with text, so that the text box was not a regular rectangle, but still a relatively regular linear text box. In the case of multi-paragraph text overlay image, when the line spacing and paragraph spacing are the same, subjects cannot distinguish the beginning and end of several paragraphs of text by line spacing. In this paper, an optimized text box-based margin score calculation model is used to design an experiment to investigate the effect of the margin score of the text box of the last line of the preceding paragraph on the visual effect of subjects' visual division of paragraphs in the case of multiple-paragraph text-covered images. The results show that when the blank area of the last line of the previous paragraph is about half of the area of the previous line, the visual aesthetic satisfaction is the highest, i.e., people can quickly and accurately divide the paragraph without reading the text content, while when the last line of the previous paragraph is filled with text, the visual aesthetic satisfaction is the lowest, and people cannot intuitively divide the paragraph without reading the text content.
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Zhang, Shiyuan, Evan Gunnell, Marisabel Chang, and Yu Sun. "An Intellectual Approach to Design Personal Study Plan via Machine Learning." In 6th International Conference on Computer Science, Engineering And Applications (CSEA 2020). AIRCC Publishing Corporation, 2020. http://dx.doi.org/10.5121/csit.2020.101804.
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As more students are required to have standardized test scores to enter higher education, developing vocabulary becomes essential for achieving ideal scores. Each individual has his or her own study style that maximizes the efficiency, and there are various approaches to memorize. However, it is difficult to find a specific learning method that fits the best to a person. This paper designs a tool to customize personal study plans based on clients’ different habits including difficulty distribution, difficulty order of learning words, and the types of vocabulary. We applied our application to educational software and conducted a quantitative evaluation of the approach via three types of machine learning models. By calculating cross-validation scores, we evaluated the accuracy of each model and discovered the best model that returns the most accurate predictions. The results reveal that linear regression has the highest cross validation score, and it can provide the most efficient personal study plans.
Reports on the topic "Highest score"
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Bajaro, Donna Faye, Yothin Jinjarak, Yuho Myoda, Donghyun Park, and Pilipinas Quising. Health Spending Efficiency in Developing Asia. Asian Development Bank, 2023. http://dx.doi.org/10.22617/wps230471-2.
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This study analyzes health spending efficiency in developing Asia. The result shows universal health coverage service coverage index and population density as key determinants of health spending efficiency. While East Asia has the highest average technical efficiency score, Caucasus and Central Asia has the highest average allocative efficiency score. Overall, there is significant potential for improving both technical and allocative efficiency in health-care expenditures across developing Asia.
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Lines, Lisa M., Marque C. Long, Jamie L. Humphrey, et al. Artificially Intelligent Social Risk Adjustment: Development and Pilot Testing in Ohio. RTI Press, 2022. http://dx.doi.org/10.3768/rtipress.2022.rr.0047.2209.
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Prominent voices have called for a better way to measure, predict, and adjust for social factors in healthcare and population health. Local area characteristics are sometimes framed as a proxy for patient characteristics, but they are often independently associated with health outcomes. We have developed an “artificially intelligent” approach to risk adjustment for local social determinants of health (SDoH) using random forest models to understand life expectancy at the Census tract level. Our Local Social Inequity score draws on more than 150 neighborhood-level variables across 10 SDoH domains. As piloted in Ohio, the score explains 73 percent of the variation in life expectancy by Census tract, with a mean squared error of 4.47 years. Accurate multidimensional, cross-sector, small-area social risk scores could be useful in understanding the impact of healthcare innovations, payment models, and SDoH interventions in communities at higher risk for serious illnesses and diseases; identifying neighborhoods and areas at highest risk of poor outcomes for better targeting of interventions and resources; and accounting for factors outside of providers’ control for more fair and equitable performance/quality measurement and reimbursement.
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Kim, Joseph, and Jose Arroyo-Turcios. Conceptual Critical Success Factors Model on Infrastructure Sustainability Rating System for California Construction Projects. Mineta Transportation Institute, 2025. https://doi.org/10.31979/mti.2024.2324.
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This report addresses the sensitivity and reliability of the sustainability rating systems by comparing each category’s verified scores with its respective submitted scores to evaluate how points are awarded for infrastructure projects, examine which categories present the most challenges for verification, and identify the best category for verification in the sustainability rating system. The authors conducted three analyses using credit score data obtained from fourteen actual civil infrastructure projects certified under Envision. First, the Natural World category had the highest average score from the submitted and verified data. Pairwise comparisons using t-tests indicate that the mean value of one category does not differ statistically from that of other categories. Second, a one-way analysis of variance found no statistically significant differences among the five categories’ scores. Two-sample t-tests for comparing the submitted credit scores and the verified credit scores demonstrated no statistically significant difference in all five categories. However, the results showed that the verified credit scores are 18.63% lower than the submitted credit scores for all five categories. Third, multiple comparisons (Hsu’s MCB) showed that the Natural World category is the best category with 95% confidence. The results also indicated that the Quality of Life, Leadership, New World, and Climate and Risk categories have a higher possibility of being verified on a similar level, proving that those projects are close to the “best” category and present fewer challenges to be certified than the Resource Allocation category. The findings from this report will provide sustainability managers and project teams with insights into credit implementation in the pre-design stage of potential infrastructure projects that may pursue the certification process.
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Seyoum, Asrat. Pathways to viability: Community radio in Ethiopia. FOJO media institute, Linnaeus University, 2024. http://dx.doi.org/10.15626/fojo.i.202402.
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Ethiopia's community radio landscape, with over 50 licensed stations and approximately 35 broadcasting nationwide, serves as a vital information source in rural areas, broadcasting in over 20 local languages. Despite their significance, these stations face challenges in governance, financial sustainability, and program quality. The media viability assessment aimed to understand these challenges, prioritize them, and inform support activities. The assessment involved 35 managers and program heads from 25 community radio stations and employed online surveys, desktop research, and limited expert interviews. Factors were scored on a scale of 1 to 10 for their importance to station viability, with most receiving high scores. Governance, programming, financial sustainability, and technical issues were key focus areas. The analysis revealed a clear recognition among managers of the complex challenges they face, with factors related to local issue coverage receiving the highest average score. Recommendations include developing robust financial sustainability strategies, prioritizing audience engagement, enhancing board leadership, creating strategic plans, advocating for high-quality content, providing training in project management and media management, offering technical skills training, facilitating networking among managers, and prioritizing digital capacity-building.
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Gordon-Rogers, Liza. Evaluating Ballot Design in the 2024 General Election: A Review of Sample Ballots. Union of Concerned Scientists, 2025. https://doi.org/10.47923/2025.15858.
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A healthy, well-functioning democracy depends on every voter having equal and effective access to the ballot. Science has shown that poorly designed ballots create significant barriers to effective participation, leading to thousands of uncounted votes each election, with ballot design flaws disproportionately affecting Black, Hispanic, low-income, and older voters. To assess the state of ballot usability, we analyzed eight counties’ 2024 sample ballots from select jurisdictions in Arizona, Georgia, North Carolina, Ohio, and Pennsylvania using 10 equitable ballot design recommendations established in an earlier study. We find that no county achieved a perfect score, with the highest-scoring ballot following about 70 percent of the recommendations. This highlights considerable room for improvement in ballot clarity and usability. Although election administrators must navigate considerable constraints to certain elements of ballot design, many choices can be made at their discretion to enhance accessibility. Our findings reinforce the need for continued analysis.
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Casas, Lyle Daryll, Jhanna Uy, Eldridge Ferrer, et al. Determining Optimal Mid-Upper Arm Circumference (MUAC) Cutoffs Maximizing Admission of Wasted Children to Treatment in the Philippines. Philippine Institute for Development Studies; Department of Health; National Nutrition Council; United Nations International Children's Emergency Fund, 2024. http://dx.doi.org/10.62986/dp2024.08.
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In low-resource settings, obtaining accurate weight-for-height Z-scores can be challenging. This is due to factors such as the lack of equipment to measure height and weight accurately and the minimal training of community health workers. To address this issue, the Mid-Upper Arm Circumference (MUAC) serves as a simple tool to identify wasted children. However, some researchers and practitioners argue that relying solely on MUAC may fail to identify many wasted children, leading to delayed intervention and potential death. This study aims to determine the most effective MUAC cutoffs for accurately detecting wasting based on Weight-for-Height z-scores (WHZ) in Filipino children aged 6-59 months. To achieve this, the 2018-2019 Expanded National Nutrition Survey (ENNS) was analyzed to evaluate the diagnostic performance of MUAC cutoffs in identifying moderate and severe wasting. The optimal cutoff is defined as the cutoff that yields the highest AUROC curve. The findings indicate that the current MUAC cutoffs demonstrated poor performance in identifying severe wasting (sensitivity: 13%; specificity: 99%; AUROC: 0.558) and moderate wasting (sensitivity: 22%; specificity: 96%; AUROC: 0.0586). The optimal MUAC cutoff for identifying severe wasting was found to be <13.6cm (sensitivity: 62%; specificity: 76%; AUROC: 0.690), while for moderate wasting, the optimal cutoff was 14.0cm (sensitivity: 80%; specificity: 67%; AUROC: 0.737). Although the optimal MUAC cutoff was not significantly influenced by gender, it did vary with age. A combination of WAZ < -2 or MUAC ≤ 12.7cm (sensitivity: 84%; specificity: 78%; AUROC: 0.810) for moderate wasting and WAZ < -2 or MUAC ≤ 11.7cm (sensitivity: 80%; specificity: 80%; AUROC: 0.800) for severe wasting provided the optimal criteria. These cutoffs demonstrated significantly improved diagnostic sensitivity, albeit with acceptable decreases in specificity. The results from this study aim to contribute to the development of local and global evidence to enhance the identification and management of acute malnutrition. This will improve access and coverage of the Philippine Integrated Management of Acute Malnutrition (PIMAM) services. Thus, it is essential to consider alternative case definitions that incorporate both Weight-for-Age Z-score (WAZ) and Mid-Upper Arm Circumference (MUAC) when Weight-for-Height Z-score (WHZ) indicators are not feasible. Furthermore, conducting additional implementation studies is crucial to validate these findings and gain insights into their practical application and cost implications for the health system. This approach will support effective and sustainable improvements in identifying and treating acute malnutrition in the Philippines.
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Anglade, Boaz, and Julia Escobar. Effect of Violence against Women on Victims and their Children: Evidence from Central America, the Dominican Republic, and Haiti. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003157.
Full textAbstract:
This paper presents a systematic overview of the evidence of violence against women in the Central America, Mexico, Panama, Haiti, and Dominican Republic region and examines its impact on the well-being of women and their children. Population-based surveys show that violence against women remains a widespread issue in the region. The proportion of women who have experienced physical or sexual violence at least once in their lifetime varies between 13% and 53%; Panama has the lowest rate while Mexico and El Salvador have the highest. The percentage of women who have experienced violence within private spheres ranges between 17% and 24%. Also, homicidal violence targeting women remains a major problem in the region. Using a novel propensity score reweighting technique, we assess the impact of violence on a series of outcome variables related to a womans health and socioeconomic condition. We find evidence that violence against women negatively affects victims reproductive and physical health as well as their fertility preferences. We also find evidence that violence against mothers has an adverse effect on childrens advancement in school and overall health.
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Borger, Michael, Gregory Elacqua, Isabel Jacas, Christopher Neilson, and Anne Sofie Westh Olsen. Report Cards: Parental Preferences, Information and School Choice in Haiti. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0004933.
Full textAbstract:
This paper studies school choice and information in the context of education markets in rural Haiti. Using a market level randomized control trial, we evaluate the aggregate effect of providing test score information on subsequent test scores, prices, and enrollment. After the intervention, we find that private schools have higher test scores, with an average increase of 0.3 standard deviations in treated markets. However, we are unable to detect significant changes to prices and market shares. These findings suggest that providing information in poor education markets can improve market efficiency and benefit children's welfare.
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Blau, Francine, and Lawrence Kahn. Do Cognitive Test Scores Explain Higher US Wage Inequality? National Bureau of Economic Research, 2001. http://dx.doi.org/10.3386/w8210.
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Amengual, Dante, Xinyue Bei, Marine Carrasco, and Enrique Sentana. Score-type tests for normal mixtures. CIRANO, 2023. http://dx.doi.org/10.54932/uxsg1990.
Full textAbstract:
Testing normality against discrete normal mixtures is complex because some parameters turn increasingly underidentified along alternative ways of approaching the null, others are inequality constrained, and several higher-order derivatives become identically 0. These problems make the maximum of the alternative model log-likelihood function numerically unreliable. We propose score-type tests asymptotically equivalent to the likelihood ratio as the largest of two simple intuitive statistics that only require estimation under the null. One novelty of our approach is that we treat symmetrically both ways of writing the null hypothesis without excluding any region of the parameter space. We derive the asymptotic distribution of our tests under the null and sequences of local alternatives. We also show that their asymptotic distribution is the same whether applied to observations or standardized residuals from heteroskedastic regression models. Finally, we study their power in simulations and apply them to the residuals of Mincer earnings functions.