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Objective: The American College of Radiology Thyroid Imaging Reporting and Data System (TI‐RADS) is a widely used method for the management of adult thyroid nodules. However, its use in paediatric patients is controversial because adult fine needle aspiration biopsy (FNAB) recommendations may lead to delayed diagnoses of cancer in children. The objectives of this study were to evaluate the performance of TI‐RADS in paediatric thyroid nodules and to tailor FNAB recommendations for children. Methods: Consecutive surgically resected paediatric thyroid nodules from two tertiary care centres between 2003 and 2021 were reviewed. Ultrasounds were blindly scored by radiologists according to TI‐RADS. Management recommendations based on TI‐RADS were evaluated. Various modelling methodologies were used to determine the optimal cutoff for FNAB in children. Results: Of the 96 patients, 79 (82%) were female and the median age at surgery was 16.1 years. Fifty (52%) nodules were malignant on surgical pathology. The area under the receiver operating characteristic curve of TI‐RADS for predicting malignancy was 0.78. Adult TI‐RADS recommendations would have resulted in 4% of cancerous nodules being lost to follow‐up. Modifications to TI‐RADS (FNAB of all TR3 nodules ≥1.5 cm, FNAB of TR4 and TR5 nodules ≥0.5 cm, surveillance of nodules ≥1 cm, consider surgery for nodules >4 cm) reduced this missed malignancy rate to 0%. Conclusions: TI‐RADS can risk‐stratify paediatric thyroid nodules. However, the system requires modifications to reduce the missed malignancy rate in paediatric thyroid nodules. Our data suggest that lower size thresholds for FNAB are warranted in children. [ABSTRACT FROM AUTHOR]

We prove that TR is corepresentable by the reduced topological Hochschild homology of the flat affine line S[t] as a functor defined on the 1-category of cyclotomic spectra with values in the1-category of spectra with Frobenius lifts, refining a result of Blumberg-Mandell. We define the notion of an integral topological Cartier module using Barwick's formalism of spectral Mackey functors on orbital1-categories, extending the work of Antieau-Nikolaus in the p-typical setting. As an application, we show that TR evaluated on a connective E1-ring admits a description in terms of the spectrum of curves on algebraic K-theory, generalizing the work of Hesselholt and Betley-Schlichtkrull. [ABSTRACT FROM AUTHOR]

This paper demonstrates how Latinx/a/o parents drew on various forms of capital to support their children’s college application, choice, and transition during the pandemic. Latinx/a/o parents encouraged and supported their children by maintaining high college aspirations despite COVID-19 concerns, entrusting their children with their college choice decisions despite sometimes conflicting with their own, and supporting their children in their college transition through consejos and encouragement. This study contributes to the literature by centering Latinx/a/o parents’ counternarratives that highlight their ongoing commitment to supporting students’ college aspirations despite deficit notions exacerbated by the pandemic. [ABSTRACT FROM AUTHOR]

We present GeneBe, an online platform streamlining the automated application of American College of Medical Genetics and Genomics (ACMG), Association for Molecular Pathology (AMP), and the College of American Pathologists (CAP) criteria for assessment of pathogenicity of genetic variants. GeneBe utilizes automated algorithms that evaluate 17 criteria from 28, closely aligning with current guidelines and leveraging data from diverse sources, including ClinVar. The user‐friendly web interface enables manual refinement of assignments for specific criteria based on site‐collected data. Our algorithm demonstrates a high correlation (r = 0.90) of assigned pathogenicity scores compared to expert assessments from the ClinGen Evidence Repository and substantial concordance with ClinVar verdict assignments (κ = 0.69). Comparative analysis with other published tools reveals that GeneBe performs similarly to VarSome while being superior over TAPES and InterVar. In contrast to some other tools, GeneBe's web implementation is tracker‐free and third‐party request‐free, safeguarding user privacy. Additionally, GeneBe offers an Application Programming Interface (API) for enhanced flexibility and integration into existing workflows and is provided free of charge for research purposes. GeneBe is available at https://genebe.net. [ABSTRACT FROM AUTHOR]

While a substantial body of work has shown that higher-SES students tend to apply to more selective colleges than their lower-SES counterparts, we know relatively less about why students differ in their application behavior. In this study, we draw upon a sociological approach to educational stratification to unpack the SES-based gap in college application selectivity. Using data from the High School Longitudinal Study of 2009, we examine the contribution of theoretical factors to the class-based gap in the selectivity of college applications. Namely, from the rational action model we estimate the contribution of performance differentials and choice differentials, while from the status attainment model we look at the level and type of educational expectations as well as the number of applications submitted. Through a series of Heckman selection models, as well as a Blinder-Oaxaca decomposition analysis, we can explain 85% of the gap in college application selectivity between students in the top and bottom SES quintiles. In turn, we estimate that 60% of this explained portion is due to rational action mechanisms such as grades and test scores while 35% is due to status attainment mechanisms. Finally, we reveal that SES moderates the relationship between type of expectations and application selectivity. We find that the payoff to higher expectations (in terms of selective applications) disproportionately accrues to higher-SES students. [ABSTRACT FROM AUTHOR]

Stratification in selective college admissions persists even as colleges' criteria for evaluating merit have multiplied in efforts to increase socioeconomic and racial diversity. Middle-class and affluent families increasingly turn to privatized services, such as private college consulting, to navigate what they perceive to be a complicated and opaque application process. How independent educational consultants (IECs) advise students can thus serve as a lens for understanding how the rules of college admissions are interpreted and taught to students. Through 50 in-depth interviews with IECs, I find that IECs encourage students to be authentic by being true to themselves but that demonstrating authenticity requires attention to how one's authentic self will be perceived. Translating an authentic self into an authentic application also involves class-based and racialized considerations, particularly for Asian American students who are susceptible to being stereotyped as inauthentic. These findings suggest that efforts to improve diversity must be carefully implemented, or they risk reproducing inequality. [ABSTRACT FROM AUTHOR]

This paper analyzes the impact of college athletic reclassification for educational institutions in the United States. Most of America's colleges and universities offer athletic opportunities for their students under NCAA governance. The level of competition and associated resource requirements range from relatively low (Division 3) to high (Division 1). In recent years, there has been an increase in the number of institutions that have either reclassified to a higher division, or publicly considered such a move. The resource obligations of reclassification are significant, and administrators must carefully weigh expected benefits and costs with respect to the institution's mission and vision. While several studies (Bell, 2017; Schwarzber, 2014; Frieder & Fulks, 2007; Tomasini, 2005) have focused on reclassification from Division 1-FCS to FBS—the highest level of competition—less attention has been paid to colleges in Division 2 and 3—which comprise two-thirds of NCAA membership. Our study addresses a gap in the literature by analyzing athletic reclassification among schools moving up from Division 2 to Division 1 (FCS and no-football) during the period of 2001–2018. Drawing upon multiple data sources, we construct a panel of 33 schools (14 treatments and 19 controls) to evaluate the impact of reclassification on applications and athletic department budgets. Results from quasi-experimental methods (difference in differences, event study, and synthetic control models) suggest that reclassification significantly increased basketball program revenues and athletic department expenses among the treatment schools. However, we do not find evidence that reclassification raises student applications in the short term. [ABSTRACT FROM AUTHOR]

In modern society, the importance of healthy lifestyle has become increasingly prominent. As an important group, college students' exercise habits are directly related to their health status. In order to effectively monitor the motion of college students and provide scientific guidance, this study developed a motion recognition algorithm based on optical principle. In this study, college students are selected as the research objects, and the motion recognition is carried out by collecting optical signals in the process of motion and applying a specific optical algorithm. The optical sensor is used to capture the optical signal generated in the process of motion, and the characteristics of the signal are used for motion recognition. Then the characteristics of the optical signal are extracted to judge the type and intensity of motion. Through experimental verification, the motion recognition algorithm based on optical detection Internet of Things devices has high accuracy and reliability in the application of college students' motion monitoring platform. The algorithm can accurately identify different types of motion and judge the intensity level of motion according to the intensity of optical signals. Through the use of optical principles for motion recognition, more accurate monitoring of college students' movement and providing them with scientific exercise guidance will help to improve their health. [ABSTRACT FROM AUTHOR]

The Universal Design for Learning (UDL) framework has been shown to support instructors in the design of inclusive instructional learning environments. However, few studies have examined the effects of UDL professional development programmes for community college faculty and staff. The present study examined the effects of a four-day Universal Design for Learning (UDL) training on community college faculty and staff. Three paired samples t tests were run on the pretest and posttest scores of participants. The results indicated that, after the training, faculty and staff had a statistically significantly greater knowledge of UDL and were better able to provide examples of how to apply it to their work on campus. The results provide support for training community college faculty and staff to apply the UDL framework to their instruction. [ABSTRACT FROM AUTHOR]

With the in-depth implementation of the innovative development-driven strategy of "mass innovation and entrepreneurship" put forward by the state, colleges and universities, as the main positions for cultivating innovative and entrepreneurial talents, have set up a multi-level and all-round training system for college students' innovative and entrepreneurial ability according to the relevant policies and implementation opinions of the state for deepening innovation and entrepreneurship education in colleges and universities, and actively promoted the improvement of college students' innovative and entrepreneurial ability. The college students' innovation and entrepreneurship ability evaluation could be regarded as the classical multiple attribute group decision making (MAGDM) issue. The PULTSs could well depict uncertain information during the college students' innovation and entrepreneurship ability evaluation and the combined compromise solution (CoCoSo) method is appropriate to stable the decision-making results. In this paper, the probabilistic uncertain linguistic combined compromise solution (PUL-CoCoSo) method based on the probabilistic uncertain linguistic sets (PULTSs) and combined compromise solution method is proposed for multiple attribute group decision making (MAGDM). The weights of attribute based on the CRITIC method are obtained under PULTSs. Finally, an application related to the college students' innovation and entrepreneurship ability evaluation is utilized to demonstrate the usage of the developed algorithms. [ABSTRACT FROM AUTHOR]

In the United States, some states allow undocumented immigrants to benefit from in-state resident tuition policy at public colleges and universities, a benefit aimed at improving accessibility to higher education. Yet, undocumented immigrants face bureaucratic procedures and requirements that may discourage them from applying and delay or hamper their access to higher education. Building upon administrative burdens scholarship and using quantitative data from the examination of college application forms and surveys administered to undocumented immigrants, this article explores requirements representing learning, compliance, and psychological costs when this group applies for college. Findings suggest that variations in requirements may reflect states' political leanings, patterns of immigration, alternate social constructions, and organizational factors. Undocumented immigrants' perceptions show that factors associated with SSN, citizenship, residency, notarized affidavits, and lack of clear information and guidance from college websites and personnel substantially increase burdens when these individuals seek in-state tuition benefits. This study contributes to higher education scholarship by highlighting how bureaucratic procedures and administrative discretion can help achieve or prevent the attainment of policy goals. [ABSTRACT FROM AUTHOR]

Objective: To determine the distinct influences of rural background and rural residency training on rural practice choice among family physicians. Data Sources and Study Setting: We used a subset of The RTT Collaborative rural residency list and longitudinal data on family physicians from the American Board of Family Medicine National Graduate Survey (NGS; three cohorts, 2016–2018) and American Medical College Application Service (AMCAS). Study Design: We conducted a logistic regression, computing predictive marginals to assess associations of background and residency location with physician practice location 3 years post‐residency. Data Collection/Extraction Methods: We merged NGS data with residency type—rural or urban—and practice location with AMCAS data on rural background. Principal Findings: Family physicians from a rural background were more likely to choose rural practice (39.2%, 95% CI = 35.8, 42.5) than those from an urban background (13.8%, 95% CI = 12.5, 15.0); 50.9% (95% CI = 43.0, 58.8) of trainees in rural residencies chose rural practice, compared with 18.0% (95% CI = 16.8, 19.2) of urban trainees. Conclusions: Increasing rural programs for training residents from both rural and urban backgrounds, as well as recruiting more rural students to medical education, could increase the number of rural family physicians. [ABSTRACT FROM AUTHOR]

More than 40% of US high school students have access to Naviance, a proprietary tool designed to guide college search and application decisions. The tool displays, for individual colleges, the standardized test scores, grade-point averages, and admissions outcomes of past applicants from a student's high school, so long as a sufficient number of students from previous cohorts applied to a given college. This information is intended to help students focus their efforts on applying to the most suitable colleges, but it may also influence application decisions in undesirable ways. Using data on 70,000 college applicants across 220 public high schools, we assess the effects of access to Naviance on application undermatch, or applying only to schools for which a candidate is academically overqualified. By leveraging variation in the year that high schools adopted the tool, we estimate that Naviance increased application undermatching by more than 50% among 17,000 high-achieving students in our dataset. This phenomenon may be due to increased conservatism: Students may be less likely to apply to colleges when they know their academic qualifications fall below the average of admitted students from their high school. These results illustrate how information on college competitiveness, when not appropriately presented and contextualized, can lead to unintended consequences. [ABSTRACT FROM AUTHOR]

Introduction Service members and veterans applying to medical schools can be a challenging experience. Often, the applicants have difficulty providing descriptions of their experiences. Additionally, their pathway to medical school is significantly different compared to traditional applicants. We sought to determine if there were statistically significant factors within a cohort of U.S. military medical school applications to a U.S.-based allopathic medical school to provide recommendations on how to best advise military applicants. Methods Data about social, academic, and military factors were collected and analyzed from the American College Application Service (AMCAS) applications to the West Virginia University School of Medicine (WVU SoM) from the 2017 to 2021 cycles. Eligibility criteria included the applications that indicated that the applicant listed any type of military experience. Results In the 5-year study period, there were 25,514 applicants to the WVU SoM, and 1.6% (n  = 414) self-identified as military applicants. Of the military applicants, 28 (7%) were accepted to the WVU SoM. Statistically significant differences were found in several factors, including but not limited to academic performance, number of total experiences (14.5 vs. 12, P  = .01), and number of military experiences (4 vs. 2, P  = .003) listed on the AMCAS applications. In the accepted group, 88% of the applications included information about military experiences, which was understandable to the nonmilitary researchers compared to 79% in the nonaccepted group (P  = .24). Conclusions Premedical advisors can share statistically significant findings with military applicants, so they are informed about the academic and experiential factors associated with medical school acceptance. Applicants should also be advised to provide clear explanations of any military lexicon used in their applications. Although not statistically significant, there were a higher percentage of applications that contained descriptions of military language that was understandable to the civilian researchers in the accepted group vs. the nonaccepted group. [ABSTRACT FROM AUTHOR]

We analyze eight letters of recommendation written by high school teachers for first-generation college students, so as to illustrate narrative strategies that can make letters more effective in providing support for students' college applications. Amidst recent criticisms of the limited utility of letters in college admissions, we argue that they can provide valuable context to students' applications and present data in letters that shows how teachers make their students stand out. We draw on Bakhtin's notion of voice and Bamberg's theory of narrative positioning to examine teachers' portrayals of their own and their students' voices, especially through constructed dialogue. We show that such portrayals play a key role in allowing teachers to bridge the gap between students' personal experiences and admissions officers' institutional expectations by positioning teachers in a supportive and authoritative role, on the levels of the storyworld and the storytelling world. [ABSTRACT FROM AUTHOR]

The Internet of Things (IoT) has gained significant popularity through wearable technologies. Several IoT devices are used in educational institutions, smart homes, and security management. Their widespread use in sports training applications using IoT (WS-IoT)-based wearable sensors is noteworthy. Meanwhile, artificial intelligence (AI) has evolved rapidly, and its applications have expanded across many diverse fields. Over the past few years, China has placed greater emphasis on physical education to enhance students' physical fitness and overall capabilities. A significant number of colleges and universities have adopted artificial intelligence to transform traditional single-mode sports training methods. This paper introduces a continuous monitoring system for sports individuals using the WS-IoT. The goal of coaches is to maximize the results of athlete training across various sports events using AI technology and their sports expertise. In this study, we examine the use of AI technology in sports and assess the practical implications of its implementation. To achieve the objective function, we used a Bayesian deep classifier and deep learning algorithms that utilize adaptive optimization. Utilizing artificial intelligence in Chinese educational institutions improves training efficiency and effectiveness. The system was then rigorously tested and analyzed in terms of the quality-of-service parameters, including communication collisions and packet loss rates. It is shown that packet loss rates increase with increasing packet numbers, but collision rates remain unchanged. Furthermore, a practical application of the system in colleges and universities showed that 14.4% of the students were extremely satisfied with the use of teaching materials, 24.5% were satisfied with the materials, 30.1% were satisfied with the training methods, and 17.9% were dissatisfied. [ABSTRACT FROM AUTHOR]

In the recent past, Due to continuous development in the field of multimedia technology on moral education teaching in colleges and universities, Students interest and enrollment in smart classrooms with multimedia technology are enhancing worldwide due to diverse demands on high end technologies on moral studies for interactive teaching learning process. At present scenario due to inefficient usage of technology for higher education in colleges and universities, teachers and mentors need to educate themselves and improve their way of teaching through interactive sessions with the students than using white board. This research surveys various elements used in multimedia technology such as music, data interpretation, presentation using image, video analytics, animation and user control metrics which attracted lot of attention by the researchers due to its importance on moral education teaching. This research finds firm survey on interactive teaching process using blooms multimedia technology for smart classroom environment which helps to enhance the teaching methodologies of teachers and mentors in colleges and universities. In addition, this paper discusses the advantage and disadvantages of teaching learning process and the importance of blooms multimedia technology rather than writing on the white board. The main objective of this article is focused in improving socialization on moral education with advanced multimedia techniques which reforms higher education. [ABSTRACT FROM AUTHOR]

The so-called "college English" teaching quality evaluation is to provide a basic, comprehensive, and realistic evaluation of the relevant aspects and management of teaching implementation on the basis of following the general laws of higher education; It is a comprehensive inspection of "College English" teaching and an important means of quality monitoring and policy adjustment for "College English". As mentioned earlier, teaching evaluation is a comprehensive evaluation of teaching. Therefore, our evaluation of the quality of university public education is actually an examination of our specific measures in evaluating teaching, teaching methods and methods, teaching literature, and other aspects. The college public English teaching quality evaluation is a classical multiple attribute decision making (MADM). In this paper, we define the triangular Pythagorean fuzzy sets (TPFSs) and investigate the MADM problems under TPFSs. Based on the traditional dual generalized weighted Bonferroni mean (DGWBM) operator and dual generalized weighted geometric Bonferroni mean (DGWGBM) operator, some triangular Pythagorean fuzzy operators are proposed: triangular Pythagorean fuzzy DGWBM (TPFDGWBM) operator and triangular Pythagorean fuzzy DGWGBM (TPFDGWGBM) operator. Accordingly, we have took advantage of these operators to develop some approaches to work out the triangular Pythagorean fuzzy MADM. Ultimately, a practical example for college public English teaching quality evaluation is took advantage of to validate the developed approach, and an influence analysis of the parameter on the final results is been presented to attest its availability and validity. [ABSTRACT FROM AUTHOR]

It is generally accepted that the nation's community colleges are underfunded, especially given the job that society expects of them. Accordingly, practitioners and scholars have long argued for new revenue sources and funding models. This essay briefly explains one such alternative model, namely funding adequacy. This concept has a long history at the K‐12 level and holds potential for application in community colleges. [ABSTRACT FROM AUTHOR]

At the stage of college education, English is a very important subject, which is directly related to the enhancement of college students' English literacy and the improvement of their English level. From the perspective of mobile internet, the construction and application of college English intelligent classroom teaching mode can promote the reform and improvement of traditional English teaching mode. By giving full play to students' subjectivity, English teaching can be carried out in a modern teaching classroom environment, which is conducive to strengthening students' comprehensive English ability, which is also very important and meaningful for building an efficient college English classroom. The college English smart classroom (CESC) teaching quality evaluation is a classical multiple attribute decision making (MADM). In this paper, we define the triangular Pythagorean fuzzy set (TPFS) and investigate the multiple attribute decision making problems under it. Accordingly, we take advantage of traditional Bonferroni mean (BM) operator to develop some triangular Pythagorean fuzzy information operators: triangular Pythagorean fuzzy Bonferroni mean (TPFBM) operator and triangular Pythagorean fuzzy weighted Bonferroni mean (TPFWBM) operator. The dominating natures of these operators are researched. Accordingly, the TPFWBM operator is built for triangular Pythagorean fuzzy MADM. Ultimately, a practical example for CESC teaching quality evaluation is took advantage of to validate the developed approach. [ABSTRACT FROM AUTHOR]

Purpose: This study draws on genre theory to analyze the linguistic and discursive presentation of the self in successful US college application essays. Research Methods : We used qualitative discourse analysis informed by the systemic functional linguistic concepts of field, tenor, and mode to analyze 20 sample application essays identified as exemplary by college admissions staff from 4 US colleges, along with essay-writing advice obtained from websites of 12 US universities. Our analysis aimed to specify (1) the characteristics of the self that are represented in successful essays and (2) how the writers linguistically and discursively construct these characteristics. Findings : Successful essays portrayed a unique and authentic self through distinctive, patterned features that spanned the three categories of field, tenor, and mode. Features related to "field" included extended metaphors representing insights gained from learning and experience, language representing niche interests, verbs suggesting learning or change, and appraisal language positioning the writer as charitable and optimistic; features related to "tenor" did not include direct address or questions but rather implicit persuasion through descriptive representation of the writer's character; and features related to "mode" included micronarratives, extended metaphors that supported cohesion, and syntactic structures that facilitated contrast of the writer's self before and after a significant moment of learning. Implications: As colleges move away from requiring standardized tests for admission, the importance of college application essays has increased. Our findings contribute to efforts to make successful performance of this high-stakes genre more attainable, particularly for first-generation and underrepresented students applying to college. [ABSTRACT FROM AUTHOR]

The huge demand for translation talents has prompted the universities to focus on improving the quality of translation teaching. As a necessary means to improve teaching quality, translation teaching quality (TTQ) evaluation plays a role in guiding, regulating and managing translation teaching, and is an important part of translation teaching. The TTQ evaluation of college English is affirmed as multi-criteria group decision-making (MCGDM). The purpose of this article is to proposed a new improved grey relation analysis (GRA) method based on cumulative prospect theory (CPT-GRA) to solve the MCGDM under IVNSs. At the end of this paper, an example for TTQ evaluation of college English is illustrated through the built method and the comparison of this new method with other proposed IVNSs methods demonstrates the availability and difference of this method. [ABSTRACT FROM AUTHOR]

With the globalization of the world's economy, culture, science and technology, and the increasing frequency of international cooperation and exchanges, English will play an increasingly important role. For non-English majors in Chinese colleges and universities, college English is a public compulsory basic course, which plays a very important role in expanding students' knowledge, improving foreign language cultural literacy and comprehensive language use ability. An important part of college English classroom teaching is teaching evaluation, which not only helps teachers obtain teaching feedback information, improve teaching management, and ensure teaching quality, but also effectively helps students adjust learning strategies, improve learning methods, and improve learning efficiency. The English classroom teaching quality evaluation could be deemed as a classic multiple attribute group decision making (MAGDM) problem. In this paper, as a useful outranking approach, the extended QUALIFLEX method is utilized to address some MAGDM issues by using picture 2-tuple linguistic sets (P2TLSs). In addition, integrating the QUALIFLEX method with P2TLSs, the extended QUALIFLEX method with P2TLNs is constructed and all calculating procedures are simply depicted. Eventually, an empirical application of English classroom teaching quality evaluation has been offered to demonstrate this novel method. [ABSTRACT FROM AUTHOR]

Cognitive Fusion is related to psychological problems, such as anxiety and depression, and is assessed through the Cognitive Fusion Questionnaire (CFQ). Aim: to confirm the unidimensional structure of the CFQ, its internal consistency reliability, and convergent and divergent validity in a sample of Ecuadorian college students. Method: instrumental design using Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) to estimate convergent and divergent validity of the CFQ. Participants: 356 college students (59.1% women) aged between 18 and 58 years (M = 25.52, SD = 7.51) from several universities in Ecuador (43.9% public institutions). Results: the unidimensional structure of the CFQ is confirmed, through adequate fit indices. Its reliability is excellent (ω = .954) and, regarding convergent and divergent validity, it correlates positively with Experiential Avoidance (AAQ-II) and negatively with Satisfaction with Life (SWLS). Conclusion: The Psychometric properties of the CFQ are adequate for its application in Ecuadorian college students. [ABSTRACT FROM AUTHOR]

This study aims to investigate the impact of Information and Communication Technology (ICT) in college libraries within the Chirang district. The rapid advancements in technology have brought about significant changes in the way libraries function, making it crucial to assess the effects of ICT application on library services and user experiences. The data collected will be analyzed using descriptive statistics and thematic analysis. The results will provide insights into the extent to which ICT has transformed library services in the Chirang district, as well as the challenges faced during the implementation of ICT initiatives. The study will also explore the perceptions of library users regarding the effectiveness and accessibility of ICT-based resources and services. The findings of this research will contribute to the existing body of knowledge regarding the impact of ICT in college libraries. The study's results will help library administrators and policymakers in the Chirang district to make informed decisions on the allocation of resources for ICT infrastructure and training. Additionally, the study will provide recommendations for enhancing the utilisation of ICT in college libraries to improve overall service quality and user satisfaction. [ABSTRACT FROM AUTHOR]

This study aims to investigate the impact of Information and Communication Technology (ICT) in college libraries within the Chirang district. The rapid advancements in technology have brought about significant changes in the way libraries function, making it crucial to assess the effects of ICT application on library services and user experiences. The data collected will be analyzed using descriptive statistics and thematic analysis. The results will provide insights into the extent to which ICT has transformed library services in the Chirang district, as well as the challenges faced during the implementation of ICT initiatives. The study will also explore the perceptions of library users regarding the effectiveness and accessibility of ICT-based resources and services. The findings of this research will contribute to the existing body of knowledge regarding the impact of ICT in college libraries. The study's results will help library administrators and policymakers in the Chirang district to make informed decisions on the allocation of resources for ICT infrastructure and training. Additionally, the study will provide recommendations for enhancing the utilisation of ICT in college libraries to improve overall service quality and user satisfaction. [ABSTRACT FROM AUTHOR]

Objectives: The study aims to examine the extent to which the updated ACC/AHA management of blood cholesterol guideline (2018) is implemented in practice and to assess the value of the clinical pharmacist interventions in improving physicians' adherence the guidelines recommendations. Methods: We utilized in this study an interventional before-after design. The study was conducted on 272 adult patients who visited the study site internal medicine clinics and were candidates for statin therapy based on the 2018 ACC/AHA guidelines for cholesterol management. Adherence to guideline recommendations was measured before and after clinical pharmacists' interventions by calculating the percentage of patients receiving statin therapy as per guideline recommendation, the type and intensity (moderate or high intensity) of statin therapy used, and the need for additional non-statin therapy. Results: Adherence with guideline recommendations was significantly improved from 60.3% to 92.6% (X2 = 79.1, p = 0.0001) after clinical pharmacist interventions. Among patients who were on statin therapy, the percentage of those who were on proper statin intensity increased significantly from 47.6% to 94.4% (X2 = 72.5, p = 0.0001). The combination of statins with non-statin therapies such as ezetimibe and PCSK9 inhibitors increased from 8.5% to 30.6% (X2 = 95, p<0.0001) and from 0.0% to 1.6% (X2 = 6, p = 0.014), respectively. The use of other lipid-lowering agents was diminished from 14.6% to 3.2% (X2 = 19.2, p<0.0001). Conclusion: Collaboration between physicians and clinical pharmacists is a crucial strategy to improve patients' treatment and hence, achieve better health outcomes among patients suffering from dyslipidemia. [ABSTRACT FROM AUTHOR]

The article focuses on the tragic death of Mahsa Jina Amini, a 22-year-old Iranian woman, who was detained by the "morality police" for wearing her hijab loosely, beaten, and hospitalized, ultimately succumbing to her injuries. Topics include the oppressive environment in Iran, the social media outcry and protests sparked by her death, and the author's personal reflections on the echoes of her own experiences during the Iranian Revolution.

The article presents the discussion on application openings for two major piano competitions: the Hilton Head International Piano Competition. Topics include running from March 10-17, 2025, with a $20,000 prize for first place, and the 11th National Chopin Piano Competition from January 4-12, 2025; and offering a $100,000 prize and entry into the International Chopin Piano Competition in Warsaw.

The article, titled "When Summer's in Session, so is NACAC: A message from the NACAC board chair," discusses the activities and initiatives of the National Association for College Admission Counseling (NACAC) during the summer season. The article highlights the Annual Member Vote, where new leaders for the organization are elected, and provides resources for members to get to know the candidates. It also mentions the preparations for the annual conference, which focuses on the theme of courage. Additionally, the article mentions the formation of a new ad hoc committee to explore transparency in college admission and acknowledges the work of previous committees. The article concludes by emphasizing NACAC's commitment to advancing careers, college access, and opportunity for all. [Extracted from the article]

In college admission, financial aid plays an important role in students' enrollment decision as well as their preparation for college application. We analyze how different types of financial aid affect these decisions and admission outcomes. We consider two financial aid regimes—need-based and merit-based—in a simple college admission model and characterize respective equilibria. We find that a more competitive college has a higher admission cutoff under a need-based regime than under a merit-based regime. A less competitive college, on the other hand, benefits from a merit-based regime as it admits students with a higher average ability than it does under no aid. We next allow colleges to choose their own financial aid system so as to account for a stylized fact in the US college admissions. We show that when one college is ranked above the other, it is a dominant strategy for the higher-ranked college to offer need-based aid and for the lower-ranked college to offer merit-based aid. [ABSTRACT FROM AUTHOR]

The College of Application of the University of São Paulo was conceived to be a space for training its undergraduate students, as well as for carrying out pedagogical experimentation. In its twelve years of existence, this school was marked by innovative practices and political disputes, which led to its extinction. This work seeks to understand, from the perspective of pedagogical renewal, three different representations of the College de Application of the USP made by two book chapters and an article. To do so, it uses the concept of representation formulated by Roger Chartier as the presentification and construction of the absent. The representations of USP's College of Application are distinguished by the historical view of the authors, as well as by the period in which they were elaborated. [ABSTRACT FROM AUTHOR]

The authors of this commentary highlight the differences between the Electronic Residency Application Service and the American Medical College Application Service in allowing graduate medical education programs to holistically review residency and fellowship applicants. [ABSTRACT FROM AUTHOR]

In the era of "Internet +," the deep integration of party building in colleges and universities and information technology is the objective need for the modernization of the party's government in colleges and universities and the realization of science. Starting from the concept of the smart party-building platform in colleges and universities, this study analyzes the current situation of the informatization and intelligence of party-building work in colleges and universities. Combined with the current development needs of the party-building work in colleges and universities, starting from the significance of the construction of the smart party-building platform in colleges and universities, the ideas and main research studies on the construction of the smart party-building platform in colleges and universities are expounded. Contents describe the construction path and implementation method of the university wisdom party-building platform in order to construct a reasonable and efficient university wisdom party-building platform construction plan. [ABSTRACT FROM AUTHOR]

Short videos are increasingly being consumed by college students as crucial content in the age of big data since they are a perfect fit for this medium. Therefore, college students should place a high value on the utilization of short movies. In this study, a neural network is utilized to create a mental health prediction model for college students. The neural network is trained using its self-learning capability to map out the relationships between different elements and mental health. The enhanced algorithm minimizes the production of candidate item sets to some amount, as well as the algorithm's time and space requirements, significantly decreasing the initialization time of the transaction set. According to the research, the test sample's pattern recognition accuracy was 81.29%, whereas the training sample's accuracy for pattern recognition was 83.37%. The analysis's finding is that the enhanced mining algorithm offers a fresh approach to educating college students about their health. [ABSTRACT FROM AUTHOR]

Using data from the High School Longitudinal Study (HSLS:09), this study examines the experience of college acceptance and rejection among white and Asian American students applying to four-year postsecondary institutions. The results suggest that Asian male students in particular face higher rejection rates relative to whites with similar academic profiles. First, Asians participate in more supplementary preparation, apply to more schools, and consider more selective colleges than whites net of other characteristics, which suggests that they may anticipate more rejection than whites. After controlling for individual and background characteristics, Asian male students are eighty percent more likely to be rejected by their desired institution compared to whites. This effect is most prominent for high performing Asian male applicants to highly selective schools and lower performing Asian male applicants to less selective schools. Separate analyses by race show that the predictors for college rejection differ substantially for Asian and white applicants. When disaggregated by ethnic group, Chinese and Southeast Asian students, and more specifically Chinese males, face the highest odds of rejection net of other explanatory factors. The author posits that the rejections faced by Asian male students may affect their feelings of resentment about the college application experience. (198 words) [ABSTRACT FROM AUTHOR]

In 2015, Idaho adopted the nation's first direct admissions system and proactively admitted all high school graduates to a set of public institutions. This reimagination of the admissions process may reduce barriers to students' enrollment and improve access across geographic and socioeconomic contexts by removing many human capital, informational, and financial barriers in the college search and application process. Despite a lack of evidence on the efficacy of direct admissions systems, the policy has already been proposed or implemented in four other states. Using synthetic control methods, we estimate the first causal impacts of direct admissions on institutional enrollment outcomes. We find early evidence that direct admissions increased first-time undergraduate enrollments by 4–8% (50–100 students per campus on average) and in-state levels by approximately 8–15% (80–140 students) but had minimal-to-no impacts on the enrollment of Pell-eligible students. These enrollment gains were concentrated among 2-year, open-access institutions. We discuss these findings in relation to state contexts and policy design given the emergence of literature highlighting the varied efficacy of similar college access policies. [ABSTRACT FROM AUTHOR]

Under the background of networked education, the subjective behavior in the field of education, the interaction between teachers and students, and the educational environment in which the subject is located have all had a comprehensive impact on the teaching mode of mental health courses in colleges and universities. In recent years, the teaching research and practice related to "action learning" and "thinking visualization" have been deepening, and more papers, monographs, and training activities related to them have been deepened. Thinking is a complex cognitive process, and students' positive and critical thinking attitude plays a crucial role in improving the quality of nursing work in the future. The importance of study, our way of self-cultivation, and the foundation of our destiny is beyond words. This study explores the application and significance of college students' happy learning combined with the visualization of thinking and action learning under the background of "Internet +" from four aspects: curriculum connotation, system construction, effect analysis, and curriculum thinking, so that students can play their subjectivity in education courses and improve. The initiative and interaction of students in the classroom encourages students to not only know, feel, and experience in education courses but also dare to speak, ask, and question and be the leaders of the classroom. [ABSTRACT FROM AUTHOR]

In order to improve the quality of College Chinese teaching, innovate the teaching mode, enrich the teaching content, and fundamentally improve the application and practice ability of college students so as to promote the reform of College Chinese teaching, this article briefly describes the research background of this subject, introduces the special teaching mode under the network environment, and briefly describes the basic content and practice of the special teaching method. This article mainly explores the construction of a network environment based on blockchain technology, including the construction of a blockchain framework and the application of the blockchain system. This article briefly analyzes the functional requirements of the network environment, explores the application practice of the mental health teaching method and the special subject teaching method based on the network environment, and finally studies the creation and implementation of the network environment conditions of the special subject teaching method. By creating a high-quality network environment, it provides a technical guarantee for the application and realization of special teaching method, effectively meets the needs of College Chinese teaching, and cultivates students' interest. Under the joint action of the above algorithms, the BTP congestion control system is verified by the laboratory simulation environment: it has more than 40% random packet loss resistance, the bandwidth is still available as low as 300 kbps, and the network jitter is 1200 ms. It has been proved that the mental health teaching method, the special subject teaching method, and the network environment have remarkable application effects in College Chinese teaching and are worthy of wide application and promotion. [ABSTRACT FROM AUTHOR]

In the face of the sudden new crown pneumonia epidemic, "retroversions" across the country are facing difficulties, fighting with their lives on the front line of the fight against the epidemic, and protecting the lives and health of the people across the country with love. As an important position for epidemic prevention work, colleges and universities, in order to maintain the physical and mental health of students, use the grid management model to closely organize the student management work network, and extend the epidemic prevention and control work to the "end" of student management, so as to effectively strengthen the epidemic prevention work position in colleges and universities. In today's era of big data, internet technology has brought great convenience to people, and people are also subtly enjoying the benefits of the era of big data in production and life. This study mainly discusses the combination of big data technology and efficient managers to deal with the management of students in the era of big data more scientifically and reasonably, and at the same time, colleges and universities do a good job in the practical significance and role of grid work mode for students under the normalization of the antiepidemic situation mode, to drive the overall development of colleges and universities and promote the improvement of college management level. [ABSTRACT FROM AUTHOR]

This research focuses on the relationship between artificial intelligence technology and music performance in colleges and universities and explores the application of artificial intelligence technology in music teaching. At the same time, it explores the deficiencies of existing computer-assisted language learning software and systems through questionnaires and interviews and also proposes solutions, such as further understanding of theories, enhancing learners' confidence, and stimulating their interest in learning. The results of this research will help to improve the application of online intelligent human-computer systems in music teaching and provide dynamic support for improving the quality of music teaching and talent training in colleges and universities. [ABSTRACT FROM AUTHOR]

With the rapid development of educational information technology, "online and offline" hybrid teaching has become the main trend of foreign language teaching reform in colleges and universities. The blended teaching mode integrates the traditional teaching mode with modern educational technology and reconstructs the traditional college English teaching mode in the aspects of teaching object, teaching content, teaching method, teaching environment, and teaching evaluation. Based on the multisource data such as students' learning situation, learning duration, and academic performance, this paper builds a student English learning analysis system that realizes the integration of multisource data, completes the unified processing and analysis of multisource data, and then displays it through the interface. The system helps English teachers to guide students in different degrees according to the students' English learning situation and academic performance, so that English teachers have a clearer and more comprehensive understanding of students' learning and living conditions and timely guide students with incorrect learning attitudes, so as to avoid students' detours. [ABSTRACT FROM AUTHOR]

The college tennis classroom teaching effect evaluation is viewed as the multiattribute group decision making (MAGDM). The probabilistic double hierarchy linguistic term set (PDHLTS) not only conforms to people's language expression habit of "adverb + adjective" but also can accurately depict its importance in real MAGDM. Therefore, this paper comes up with the probabilistic double hierarchy linguistic grey relational analysis (PDHL-GRA) method based on the grey relational analysis (GRA) process for MAGDM based on PDHLTS environment and applies it to the college tennis classroom teaching effect evaluation. Finally, a practical case for college tennis classroom teaching effect evaluation is presented to demonstrate the steps of our method, and a comparison analysis illustrates its feasibility and effectiveness. [ABSTRACT FROM AUTHOR]

Study aims were to examine oppression in education among Mexican immigrant youth with undocumented status and how mentors and other adults helped them resist oppression. Qualitative, narrative one‐on‐one interviews were conducted with 17 Mexican immigrant young adults with undocumented or DACA status in the U.S. Participants provided retrospective accounts from childhood through older adolescence. Analyses revealed critical junctures in which participants experienced oppression: (1) developmental milestones and school events, (2) college application process, (3) unforeseen life events, and (4) incidents of racial discrimination. Mentors and other adults helped participants to resist oppression through advocacy, social capital efforts, role modeling, and emotional, instrumental, and financial support. This study fills gaps in the literature on mentoring and immigrant youth who are undocumented. [ABSTRACT FROM AUTHOR]