Rank Number Research Articles

Design and Control of Polymeric Network Architectures Based on Network Dimension Theory

AbstractA new design policy to synthesize nanogel molecules having desired dimensions under unperturbed state is proposed. Miniemulsion copolymerization of vinyl and divinyl monomers, both conventional free‐radical polymerization and ideal living polymerization, is used to illustrate the method. For the network formation dynamics, the newly proposed model that takes into account the size and structure dependence of cross‐linking/cyclization reactions is employed. The master curve relationship that indicates the maximum average dimensions for randomly cross‐linked networks is used as a guideline and the network dimension is controlled by the magnitude of network maturity index NMI, which is the average number of cycle rank per primary chain. By appropriately sizing the NMI, it is possible to synthesize network polymers with dimensions equal to or greater than the maximum dimensions achievable with a homogeneous, randomly cross‐linked network polymer of the same cycle rank and molecular weight. The current strategy of designing and controlling 3D size is applicable regardless of the reaction mechanism of network formation and will also be applied to the synthesis of macro‐gels.

Attachment Anxiety, Marital Adjustment and Psycho-Social Support of Love and Arranged Marriages Among Meranao Women

This study aims to explore the level of attachment anxiety, marital adjustment, pyscho-social support of love and arranged marriages among Meranao women specifically, it sought to answer the following questions: 1.What is the demographic profile of the respondents in love marriage and arranged marriages in terms of present age, age at the time of marriage, family monthly income, number of children and sibling rank? 2. What is the level of attachment related anxiety, the marital adjustment of the respondents in love and arranged marriages among the following aspects psychological, social, emotional and spiritual? 3. What are the marital adjustment of the respondents in love and arranged marriages when classified as social, physical, financial and spiritual? 4. What is the level of marital quality of the respondents in love and arranged marriages on the following aspects; commitment, trust and mutual interaction? 5. What are the forms of marital support of the respondents in love and arrange marriages receive in terms of psychological, confidant, affective and social support? 6. How do love marriages differ from arranged marriages along the following along the following aspects; level of attachment anxiety, marital adjustment, level of marital quality and marital support? 7. What marriage counseling program has been developed on the basis of the findings of the study. This study was conducted at Tuca, Pindolonan and Dawayan, Marawi City with the total number of 327 married Meranao women, with a breakdown of 132 for love marriage and 195 for arranged marriage. The researcher utilized the descriptive–correlation design. Part of study was done through describing the demographic profile of the respondents and personal profile in terms of age, gender, socio economic status, educational attainment, monthly income and occupation. Their perceptions on their marriage particularly on attachment anxiety, marital adjustment, marital quality and marital support were also given descriptions. On the other hand, these two important variables were then correlated so as to establish a conclusion that a wife’s profile can affect her perception on her marriage life.

FL-DSFA: Securing RPL-Based IoT Networks against Selective Forwarding Attacks Using Federated Learning.

The Internet of Things (IoT) is a significant technological advancement that allows for seamless device integration and data flow. The development of the IoT has led to the emergence of several solutions in various sectors. However, rapid popularization also has its challenges, and one of the most serious challenges is the security of the IoT. Security is a major concern, particularly routing attacks in the core network, which may cause severe damage due to information loss. Routing Protocol for Low-Power and Lossy Networks (RPL), a routing protocol used for IoT devices, is faced with selective forwarding attacks. In this paper, we present a federated learning-based detection technique for detecting selective forwarding attacks, termed FL-DSFA. A lightweight model involving the IoT Routing Attack Dataset (IRAD), which comprises Hello Flood (HF), Decreased Rank (DR), and Version Number (VN), is used in this technique to increase the detection efficiency. The attacks on IoT threaten the security of the IoT system since they mainly focus on essential elements of RPL. The components include control messages, routing topologies, repair procedures, and resources within sensor networks. Binary classification approaches have been used to assess the training efficiency of the proposed model. The training step includes the implementation of machine learning algorithms, including logistic regression (LR), K-nearest neighbors (KNN), support vector machine (SVM), and naive Bayes (NB). The comparative analysis illustrates that this study, with SVM and KNN classifiers, exhibits the highest accuracy during training and achieves the most efficient runtime performance. The proposed system demonstrates exceptional performance, achieving a prediction precision of 97.50%, an accuracy of 95%, a recall rate of 98.33%, and an F1 score of 97.01%. It outperforms the current leading research in this field, with its classification results, scalability, and enhanced privacy.

OPT-FRAC-CHN: Optimal Fractional Continuous Hopfield Network

The continuous Hopfield network (CHN) is a common recurrent neural network. The CHN tool can be used to solve a number of ranking and optimization problems, where the equilibrium states of the ordinary differential equation (ODE) related to the CHN give the solution to any given problem. Because of the non-local characteristic of the “infinite memory” effect, fractional-order (FO) systems have been proved to describe more accurately the behavior of real dynamical systems, compared to the model’s ODE. In this paper, a fractional-order variant of a Hopfield neural network is introduced to solve a Quadratic Knap Sac Problem (QKSP), namely the fractional CHN (FRAC-CHN). Firstly, the system is integrated with the quadratic method for fractional-order equations whose trajectories have shown erratic paths and jumps to other basin attractions. To avoid these drawbacks, a new algorithm for obtaining an equilibrium point for a CHN is introduced in this paper, namely the optimal fractional CHN (OPT-FRAC-CHN). This is a variable time-step method that converges to a good local minima in just a few iterations. Compared with the non-variable time-stepping CHN method, the optimal time-stepping CHN method (OPT-CHN) and the FRAC-CHN method, the OPT-FRAC-CHN method, produce the best local minima for random CHN instances and for the optimal feeding problem.

Increasing magic number and other trends in diagnostic radiology NRMP match data

The magic number, or number of ranks needed to achieve a greater than 90 % chance of matching, has not been investigated for diagnostic radiology (DR). Somewhat reflective of a field's changing competitiveness, this individual metric can be useful for reassuring applicants or identifying a need to reach out to mentors. The NRMP's Charting Outcomes in the Match was accessed over the previous 10 cycles to assess changes to magic number and other match-related metrics. Over the last 10 cycles, there has been an increase in magic number for prospective radiologists. Based on the most 2022 recent report, the magic number was 14 compared to 5 and 2 in 2014 and 2016 respectively. Compared to the average US MD senior, those applying into DR were significantly more likely to match in 2014, 2016 and 2020 (p < 0.01 for all), and significantly less likely to match in 2018 and 2022 (p = 0.03 and p < 0.01, respectively). This trend has had important consequences for applicants and programs as the incentive to apply more widely grows. The increasing magic number demonstrates increasing competitiveness in the field, which might be due to a positive job market, changing medical student preferences, or increased access to radiology electives and mentors. The 2024 Charting Outcomes document will be the first to include data from a class almost entirely affected by the change to a pass/fail Step1 and the new preference signaling supplement. It is currently unclear how either change will affect the overall competitiveness of the field and the magic number.

The Law of Diminishing Returns in the Integrated Plastic Surgery Residency Match: A Deeper Look at the Numbers.

The highly competitive nature of the integrated plastic surgery residency match justifies the need for objective data that provide insights into some of the residents' selection criteria. Many studies have sought to provide information on these criteria, but to our knowledge, none has described the inflection point where the match probability does not further increase. Although our study provides this information to potential applicants, it will also help them assess and optimize their chances of a successful match. We pooled and analyzed the data available on matched and unmatched integrated plastic surgery applicants on the national residency match program database between 2016 and 2022. Step 2 score of 250 or more (P < 0.0001), number of publications more than 15 (P = 0.0007), number of research experiences five or more (P = 0.018), number of contiguous ranks more than 10 (P < 0.0001), number of volunteer experiences five or more (P < 0.0001), being a US MD applicant (P < 0.0001), and Alpha Omega Alpha membership (P < 0.0001) were all associated with increased probability of matching into the integrated plastic surgery program. Match probability did not further increase after 15 publications, five research experiences, 15 contiguous ranks, and 10 volunteer experiences have been reached. Having a PhD (P = 0.149) or a non-PhD graduate degree (P = 0.07) was not associated with increased match probability. The law of diminishing returns sets in for applicants to the integrated plastic surgery match after 15 publications, 15 contiguous ranks, five research experiences, and 10 volunteer experiences have been reached.

Culprit-Only Revascularization, Single-Setting Complete Revascularization, and Staged Complete Revascularization in Acute Myocardial Infarction: Insights From a Mixed Treatment Comparison Meta-Analysis of Randomized Trials.

Complete revascularization improves cardiovascular outcomes compared with culprit-only revascularization in patients with acute myocardial infarction ([MI]; ST-segment-elevation MI or non-ST-segment-elevation MI) and multivessel coronary artery disease. However, the timing of complete revascularization (single-setting versus staged revascularization) is uncertain. The aim was to compare the outcomes of single-setting complete, staged complete, and culprit vessel-only revascularization in patients with acute MI and multivessel disease. PubMed, EMBASE, and clinicaltrials.gov databases were searched for randomized controlled trials that compared 3 revascularization strategies. From 16 randomized controlled trials that randomized 11 876 patients with acute MI and multivessel disease, both single-setting complete and staged complete revascularization reduced primary outcome (cardiovascular mortality/MI; odds ratio [OR], 0.52 [95% CI, 0.41-0.65]; OR, 0.74 [95% CI, 0.62-0.88]), composite of all-cause mortality/MI (OR, 0.52 [95% CI, 0.40-0.67]; OR, 0.78 [95% CI, 0.67-0.91]), major adverse cardiovascular event (OR, 0.42 [95% CI, 0.32-0.56]; OR, 0.62 [95% CI, 0.47-0.82]), MI (OR, 0.39 [95% CI, 0.26-0.57]; OR, 0.73 [95% CI, 0.59-0.90]), and repeat revascularization (OR, 0.30 [95% CI, 0.18-0.47]; OR, 0.46 [95% CI, 0.30-0.71]) compared with culprit-only revascularization. Single-setting complete revascularization reduced cardiovascular mortality/MI (OR, 0.70 [95% CI, 0.55-0.91]), major adverse cardiovascular event (OR, 0.67 [95% CI, 0.50-0.91]), and all-cause mortality/MI driven by a lower risk of MI (OR, 0.53 [95% CI, 0.36-0.77]) compared with staged complete revascularization. Single-setting complete revascularization ranked number 1, followed by staged complete revascularization (number 2) and culprit-only revascularization (number 3) for all outcomes. The results were largely consistent in subgroup analysis comparing ST-segment-elevation MI versus non-ST-segment-elevation MI cohorts. Single-setting complete revascularization may offer the greatest reductions in cardiovascular events in patients with acute MI and multivessel disease. A large-scale randomized trial of single-setting complete versus staged complete revascularization is warranted to evaluate the optimal timing of complete revascularization.

Research Trends in Artificial Intelligence and Security—Bibliometric Analysis

This paper provides a bibliometric analysis of current research trends in the field of artificial intelligence (AI), focusing on key topics such as deep learning, machine learning, and security in AI. Through the lens of bibliometric analysis, we explore publications published from 2020 to 2024, using primary data from the Clarivate Analytics Web of Science Core Collection. The analysis includes the distribution of studies by year, the number of studies and citation rankings in journals, and the identification of leading countries, institutions, and authors in the field of AI research. Additionally, we investigate the distribution of studies by Web of Science categories, authors, affiliations, publication years, countries/regions, publishers, research areas, and citations per year. Key findings indicate a continued growth of interest in topics such as deep learning, machine learning, and security in AI over the past few years. We also identify leading countries and institutions active in researching this area. Awareness of data security is essential for the responsible application of AI technologies. Robust security frameworks are important to mitigate risks associated with AI integration into critical infrastructure such as healthcare and finance. Ensuring the integrity and confidentiality of data managed by AI systems is not only a technical challenge but also a societal necessity, demanding interdisciplinary collaboration and policy development. This analysis provides a deeper understanding of the current state of research in the field of AI and identifies key areas for further research and innovation. Furthermore, these findings may be valuable to practitioners and decision-makers seeking to understand current trends and innovations in AI to enhance their business processes and practices.

Impact of the COVID-19 Pandemic on the Scientific Production of Physical Education Researchers: A Five-Year Follow-Up Study.

The COVID-19 pandemic caused significant changes in society's dynamics, particularly affecting the landscape of education. Research in several areas may have been affected during periods of social restrictions. This study analyzed the curricula of 558 researchers across 27 graduate programs in physical education in Brazil to investigate the potential impact of the COVID-19 pandemic on scientific publications. Researchers' production from 2018 to 2022 underwent a comprehensive analysis, considering the total number of publications, Qualis rank, and journal impact factor. Data were analyzed using chi-squared and Kruskal-Wallis tests. Significance was set at 5%. Overall, the analyzed researchers published a total of 17,932 manuscripts from 2018 to 2022. During the COVID-19 pandemic, there was a decline of 16.4% in the number of articles published (p = 0.001). This decline was similar between men and women (p = 0.603) and was associated with a worsening in Qualis rank (p = 0.001). The number of studies published in journals with impact factors was also affected (p = 0.001). The findings suggest a potential impact of the COVID-19 pandemic on the scientific production of Brazilian researchers in the field of physical education. Funding agencies should consider the challenges associated with the COVID-19 pandemic before evaluating researchers and programs.

Under-representation of Diversity on American Urological Association and European Association of Urology Guideline Panels

ObjectiveTo assess the panel composition of the two most important guideline developers in urology as equity and acceptability, important domains in clinical guideline development, require broad stakeholder representation. MethodsFollowing a predefined protocol, we identified all current AUA and EAU guideline documents. Two authors independently abstracted data including guideline topic, number and roles of panel members, voting status, and academic rank. We determined panel member gender (woman, man, or nonbinary) and racialization (White or non-White) status based on name, internet picture, pronouns used, bios available, and gender listed on their profile. ResultsWe identified 31 AUA and 20 EAU guidelines for inclusion. Median panel size was 19 (interquartile range [IQR]: 17; 21) with 12 (IQR: 10; 14) voting members. The average composition of voting panels was predominantly male (81.8%) and White (86.8%). Eleven guideline panels (21.6%) did not include any women, and nine (17.6%) panels had no representation of individuals from non-White groups. While gender distribution was similar among guidelines of the two organizations, the AUA included more voting members from non-White groups (14.3% versus 8.0%; p=0.010). Analysis of the AUA panel composition over time revealed stable proportions of female and non-White individuals. ConclusionBoth AUA and EAU guidelines exhibit insufficient representation of females and non-White individuals, with no evident improvement observed over time. Implementing more transparent processes that advocate for diverse panel representation may enhance the incorporation of stakeholder values and preferences, thereby improving the dissemination and adoption of guidelines.

A Comparative Political Analysis of Finland and Belarus Based on the 2022 World Happiness Report

This analysis is in the field of Political Science, specifically Comparative Politics. This paper analyzes the scores of two countries Finland and Belarus on the 2022 World Happiness Report. Finland, known as the happiest country in the world is highly esteemed as a leader in democracy, healthcare, and education, and ranks number 1 on the World Happiness Report with a score of 7.821. Belarus*, a former Soviet Republic famously known for its lack of free and fair elections, ranks number 65 with a score of 5.821 (Helliwell et al., 2022). According to the report, the asterisk near Belarus signifies that the ranking is based on survey reports from 2019, and not from 2020 or 2021 (Helliwell et al., 2022). This analysis explains the gap between the two countries and identifies factors responsible for the stark differences between the scores. Several factors identified that explained the differences in the scores were related to politics, such as formal political institutions (political structure within both countries), political informal institutions (political culture), election processes (validity of elections), and the presence of a steady modern democracy or lack thereof, determined by the presence of four requirements. Another important factor identified was economic performance and the presence or lack of economic stability. This paper concludes that although Belarus presents itself as a democracy, the country does not in fact qualify as a modern democracy because of its inability to pass the requirements of a modern democracy.

Bosonic rational conformal field theories in small genera, chiral fermionization, and symmetry/subalgebra duality

A (1 + 1)D unitary bosonic rational conformal field theory (RCFT) may be organized according to its genus, a tuple (c,C) consisting of its central charge c and a unitary modular tensor category C which describes the (2 + 1)D topological quantum field theory for which its maximally extended chiral algebra forms a holomorphic boundary condition. We establish a number of results pertaining to RCFTs in “small” genera, by which we informally mean genera with the central charge c and the number of primary operators rank(C) both not too large. We start by completely solving the modular bootstrap problem for theories with at most four primary operators. In particular, we characterize, and provide an algorithm which efficiently computes, the function spaces to which the partition function of any bosonic RCFT with rank(C)≤4 must belong. Using this result, and leveraging relationships between RCFTs and holomorphic vertex operator algebras which come from “gluing” and cosets, we rigorously enumerate all bosonic theories in 95 of the 105 genera (c,C) with c ≤ 24 and rank(C)≤4. This includes as (new) special cases the classification of chiral algebras with three primaries and c &amp;lt; 120/7 ∼ 17.14, and the classification of chiral algebras with four primaries and c &amp;lt; 62/3 ∼ 20.67. We then study two applications of our classification. First, by making use of chiral versions of bosonization and fermionization, we obtain the complete list of purely left-moving fermionic RCFTs with c &amp;lt; 23 as a corollary of the results of the previous paragraph. Second, using a (conjectural) concept which we call “symmetry/subalgebra duality,” we precisely relate our bosonic classification to the problem of determining certain generalized global symmetries of holomorphic vertex operator algebras.

Strain field reconstruction from helical-winding fiber distributed acoustic sensing and its application in anisotropic elastic reverse time migration

Optical fiber-based distributed acoustic sensing (DAS) technology has been a popular seismic acquisition tool due to its easy deployment, wide bandwidth, and dense sampling. However, the sensitivity of straight optical fiber to only single-axis strain presents challenges in fully characterizing multicomponent seismic wavefields, making it difficult to use these data in elastic reverse time migration (ERTM). The helical-winding fiber receives projecting signals projected onto the fiber from all seismic strain field components and has the potential to reconstruct those strain components for ERTM imaging. Here, we give detailed mathematical principles of helical fiber-based DAS with crucial parameters such as pitch angle, gauge length, and rotating angle. At least six points of DAS responses are required in one or several winding periods to rebuild the strain fields within the seismic wavelength. The projecting matrix of conventional regular helical-winding fiber is singular and ill conditioned, which results in computation challenges for the inverse of the Hessian matrix for strain component reconstruction. To tackle this problem, we develop a nonregular variant pitch-angle winding configuration for helical fiber. Our winding design is validated using the rank and condition number of the projecting matrix, which is proven to be an important tool in the reconstruction of the original seismic strains. The recovered strain components from the DAS response are then used to backward propagate the receiver wavefields in ERTM with an efficient P/S decoupled approach. To summarize, we develop a novel winding design of helical fiber to recover the strain fields and then develop an efficient 3D anisotropic P/S wave-mode decomposition method for generating vector P and S wavefields during their propagation. Both methods are applied to build an anisotropic DAS-ERTM workflow for producing PP and PS images. Two synthetic examples demonstrate the effectiveness of our approach.

Autonomic impairment is not explained by neurological level of injury or motor-sensory completeness.

Cross-sectional study. Determine how well common clinical assessments of level and completeness of injury are correlated with symptoms of autonomic blood pressure instability and secondary medical complications after spinal cord injury (SCI). Academic medical center, United States. Eighty-two individuals with (n = 48) and without (n = 34) SCI had symptoms of autonomic blood pressure instability quantified with the Autonomic Dysfunction Following SCI (ADFSCI) survey. Health histories quantified the secondary medical complications through number of urinary tract infections and hospitalizations in the past year, time to complete bowel program, and lifetime pressure injuries. Regression models were completed to identify strengths of associated correlations. ADFSCI scores were significantly higher in individuals with SCI than controls. Neurological level of injury and ASIA impairment scale were both minimally correlated to symptoms of autonomic blood pressure instability, accounting for only 11.5% of variability in regression models. Secondary medical complications had similar, minimal correlations to level and motor/sensory completeness of SCI (R2 = 0.07 and R2 = 0.03 respectively). Contrasting this, symptoms of blood pressure instability on ADFSCI far outperformed the common clinical motor/sensory bedside exam, with moderately strong correlations to the ranked number of secondary medical complications after SCI (R2 = 0.31). Neurological level of injury and motor/sensory completeness provided limited insights into which individuals with SCI would have blood pressure instability or secondary medical complications. Interestingly, symptoms of blood pressure instability outperform the clinical motor/sensory bedside exam, with higher correlations to secondary medical complications after SCI.

816 Comparing Match Data for Neurological and Orthopaedic Surgery Applicants From 2016-2022: Is There a Point of Diminishing Return for Research Experiences and Publications?

INTRODUCTION: The application process for neurological surgery (NSGY) and orthopaedic surgery (Ortho) residency positions is highly competitive. Prior work has characterized variables associated with improved match rates; however, limited analyses have been published in recent years. METHODS: Data on the characteristics of NSGY and Ortho applicants was obtained from the National Residency Matching Program Interactive Charting Outcomes in the Match tool from 2016 to 2022. The POM was computed for each subgroup classification available for applicant characteristics. RESULTS: Applicant characteristics that correlated with an improved POM into both NSGY and Ortho included increasing USMLE Step 1 and Step 2 scores, being a US MD Senior, number (#) of contiguous ranks (a proxy for # of interviews), # of volunteer experiences, and being a member of AOA. An increasing # of publications correlated with an increased POM until 25+ were reported for NSGY applicants but only until more than 11-15 were reported for Ortho applicants. A PhD correlated positively with the POM for NSGY applicants but negatively for Ortho applicants. Non-PhD graduate degrees correlated negatively with the POM for both NSGY and Ortho applicants. An increasing # of work experiences correlated negatively with the POM for NSGY applicants at all levels, and correlated negatively with the POM for Ortho applicants after 3-5 were reported. CONCLUSIONS: There appeared to be a point of diminishing return where an increasing number of publications no longer increased the probability of matching for both NSGY and Ortho applicants. Non-PhD graduate degrees did not improve the POM. Ranking more programs was associated with a higher POM for both NSGY and Ortho applicants, suggesting an incentive to take as many interviews as possible if not otherwise restricted.

Some Sums Involving Generalized Harmonic and r-Derangement Numbers

In this paper, we derive some sums involving generalized harmonic and r-derangement numbers by using generating functions of these numbers and some combinatorial identities. The relationship between Daehee numbers and generalized harmonic numbers of rank r, H(n,r,α) is given. In addition, sums including Daehee numbers of order r,D_n^r, generalized hyperharmonic numbers of order r, H_n^r (α), Cauchy numbers of order r, C_n^r and the stirling numbers of the first kind, s(n,i) are also calculated.

The Effective Fragment Molecular Orbital Method: Achieving High Scalability and Accuracy for Large Systems.

The effective fragment molecular orbital (EFMO) method has been developed to predict the total energy of a very large molecular system accurately (with respect to the underlying quantum mechanical method) and efficiently by taking advantage of the locality of strong chemical interactions and employing a two-level hierarchical parallelism. The accuracy of the EFMO method is partly attributed to the accurate and robust intermolecular interaction prediction between distant fragments, in particular, the many-body polarization and dispersion effects, which require the generation of static and dynamic polarizability tensors by solving the coupled perturbed Hartree-Fock (CPHF) and time-dependent HF (TDHF) equations, respectively. Solving the CPHF and TDHF equations is the main EFMO computational bottleneck due to the inefficient (serial) and I/O-intensive implementation of the CPHF and TDHF solvers. In this work, the efficiency and scalability of the EFMO method are significantly improved with a new CPU memory-based implementation for solving the CPHF and TDHF equations that are parallelized by either message passing interface (MPI) or hybrid MPI/OpenMP. The accuracy of the EFMO method is demonstrated for both covalently bonded systems and noncovalently bound molecular clusters by systematically examining the effects of basis sets and a key distance-related cutoff parameter, Rcut. Rcut determines whether a fragment pair (dimer) is treated by the chosen ab initio method or calculated using the effective fragment potential (EFP) method (separated dimers). Decreasing the value of Rcut increases the number of separated (EFP) dimers, thereby decreasing the computational effort. It is demonstrated that excellent accuracy (<1 kcal/mol error per fragment) can be achieved when using a sufficiently large basis set with diffuse functions coupled with a small Rcut value. With the new parallel implementation, the total EFMO wall time is substantially reduced, especially with a high number of MPI ranks. Given a sufficient workload, nearly ideal strong scaling is achieved for the CPHF and TDHF parts of the calculation. For the first time, EFMO calculations with the inclusion of long-range polarization and dispersion interactions on a hydrated mesoporous silica nanoparticle with explicit water solvent molecules (more than 15k atoms) are achieved on a massively parallel supercomputer using nearly 1000 physical nodes. In addition, EFMO calculations on the carbinolamine formation step of an amine-catalyzed aldol reaction at the nanoscale with explicit solvent effects are presented.

Pharmacist certification of drug therapy modification: A survey of pharmacist‐reported practices, facilitators, and barriers in Georgia

AbstractIntroductionCollaborative drug therapy management (CDTM) allows pharmacists to assess patients, administer medications, manage and adjust medication regimens, and order laboratory tests within a defined protocol. Pharmacist CDTM may aid in preventative care and chronic condition management.ObjectivesThe primary objectives were to identify CDTM services provided by pharmacists in the state of Georgia, examine factors associated with the provision of CDTM services, and identify barriers and facilitators to CDTM service provision. The secondary objective was to assess differences in CDTM practice between pharmacists who completed a Registered Pharmacist (R.Ph.)/Doctor of Pharmacy (Pharm.D.), postgraduate year one (PGY1), or postgraduate year two (PGY2) residency.MethodsUsing the Dilman method, this cross‐sectional study invited all 134 CDTM‐licensed pharmacists in Georgia to complete a 30‐min electronic survey. Data included demographics, training, services offered, disease states managed, and perceptions regarding CDTM implementation. Descriptive statistics, Welchs analysis of variance (ANOVA), and chi‐square were conducted using SPSS v28.ResultsA total of 36 (26.9%) pharmacists completed the survey. Participants offered a median of three CDTM services. A majority offered medication therapy management (86.1%) and chronic care management (66.7%). A majority offered services for diabetes (58.3%), hyperlipidemia (55.6%), and hypertension (55.6%). There were differences in the mean ranked number of CDTM services offered between R.Ph./Pharm.D. and PGY2 groups (−11.667, p = 0.019), and the mean ranked number of disease states covered between R.Ph./Pharm.D. and PGY1 (−10.990, p = 0.029) and R.Ph./Pharm.D. and PGY2 (−12.640, p = 0.010, adjusted p‐value) groups. Reported CDTM facilitators were job requirements, expanding patient care, job satisfaction/personal advancement, and expanding professional practice. Reported challenges were continuing education, clinical/interprofessional concerns, administration issues with the board of pharmacy or individual practice site, and regulations differing from other states.ConclusionOf those with CDTM licensure, a majority offer medication therapy management and chronic care management services covering diabetes, hypertension, and hyperlipidemia. Postgraduate training may help prepare pharmacists to engage in CDTM services.

Green University Model – World Trend and Policy Implications for Vietnam

Green university model is now developing dramastically, spreading and becoming a mainstream trend in world higher education. Main features of this trend are universities integrating sustainable development goals into their operations, implementing their mission in building a prosperous and safe society. With key solutions using modern technology and techniques, universities strive to develop smart educational ecosystems, explore natural resources to improve quality of life, and participate in combating climate change, solving ecological problems of resources and human health. A number of green university rankings have been created, becoming a place to encourage the trend of developing green university model as a breakthrough solution for smart universities. Based on the approach of content and trend of green university development, the article presents some recommendations for green development in Vietnamese universities.

Trends in the Main Residency Match From 2007 to 2020.

Background The United States Medical Licensing Exam (USMLE)Step 1 was recently changed from a numerically scored grading system to a pass/fail grading system. Until late 2024, there will be no formal studies about the impact that the grading change will have on the match process. To thoroughly assess the impact that this change will have on the overall match process, it is important to look at what the trends in applicants' objective measures have been in the years before the change. We aim to systematically evaluate the rates of change and mean trend of objective metrics found in residency applications in the main residency match. Methods Objective medical student data of matched and unmatched applicants were queried from the National Matching Program's Charting Outcomes in the Match Reports for the 2007 to 2020 application cycles. Data were used to create linear regression analyses and statistical tests were performed to evaluate trends over time. Results For matched applicants, there were statistically significant positive trends for the mean number of contiguous ranks (m=0.33, p<0.01), having another non-doctoral graduate degree (m=0.67, p<0.01), membership to Alpha Omega Alpha(AOA) honor society (m=0.22, p<0.01), mean USMLE Step 1 score (m=1.01, p<0.01), mean USMLE Step 2 score (m=1.68, p<0.01), mean number of research experiences (m=0.12, p<0.01), and mean number of abstracts, presentations, and publications(m=0.34, p<0.01). Additionally, there was a statistically significant negative trend for the percentage who graduated from a top 40 National Institutes of Health-funded medical school (m=-0.41, p<0.01). For unmatched applicants, there were statistically significant positive trends for having another non-doctoral graduate degree (m=0.83, p<0.01), mean USMLE Step 1 score (m=1.26, p<0.01), mean USMLE Step 2 score (m=2.27, p<0.01), mean number of research experiences (m=0.13, p<0.01), and mean number of abstracts, presentations, and publications (m=0.33, p<0.01). Conclusion Our study shows that there have been statistically significant increases in almost all objective measures in the residency application. Recent changes to the abstracts, presentations, and publications on the Step 1 scoring system will force almost all residency programs to overhaul their application process and potentially increase reliance on Step 2, research, and other nonobjective factors. For students early in their medical education, emphasis on Step 2 and research will yield increased chances of matching into residency in the future.