Relationship between anterior segment biometry and primary angle-closure glaucoma in Hubei region: a retrospective case-control study.

Objective: To investigate the pathogenesis of Primary Angle-Closure Glaucoma (PACG) and its relationship with the anatomical structure of the anterior segment by obtaining biometric parameters using the IOL-Master 700. Methods: A retrospective case-control study was conducted. Clinical data from 39 PACG patients and 40 normal controls treated at the Aier Eye Hospital affiliated with Wuhan University from January to December 2022 were collected. Anterior chamber depth (AC), white-to-white (WTW), lens thickness (LT), central corneal thickness (CCT), axial length (AL), corneal curvature (K1), corneal curvature (K2), and lens position (LP) were measured using the IOL-Master 700 to analyze the characteristics and differences in the anterior segment structure of both groups. Statistical methods included independent sample t-tests and logistic regression analysis. Results: Significant differences were found in the anterior segment biometric parameters between PACG patients and normal controls (p < 0.05). Anterior chamber depth, white-to-white, lens thickness, central corneal thickness, axial length, and K2 were all related to the occurrence of PACG (p < 0.05). The occurrence of PACG was negatively correlated with ACD, CCT, and AL (OR = 0.12-0.64, p < 0.05), and positively correlated with LT. Conclusion: Compared to the normal control group, PACG patients in the Hubei region have a smaller anterior segment space, narrower angles, thicker lens, thinner cornea, shorter axial length, flatter cornea, and more anteriorly positioned lens.

Comparison of the IOL Master and Pentacam in the measurement of anterior segment parameters in patients with high myopia and cataracts.

PURPOSE: This study aimed to compare the differences between the Zeiss IOL Master and Oculus Pentacam in keratometry and central anterior chamber depth (ACD) measurements in patients with high myopia and cataracts. METHODS: Between January 2019 and December 2020, 89 patients (103 eyes) with cataracts and high myopia who underwent preoperative cataract evaluation at Nanchang First Hospital were selected for retrospective analysis. Keratometry (K1, K2) and ACD were measured with the IOL Master and Pentacam. Paired t-tests were performed to compare the differences, while the Bland-Altman method was used to evaluate the agreement. RESULTS: The K1 value was (43.15±2.44) D for the IOL Master and (42.98±2.47) D for the Pentacam, and the difference between the two instruments was statistically significant (P<0.01). The K2 value was (44.55±2.63) D for the IOL Master and (44.32±2.55) D for the Pentacam. The ACD was (3.44±0.33)mm for the IOL Master and (3.39±0.36)mm for the Pentacam. There were statistically significant differences between the two instruments in both keratometry and ACD (P<0.01). The absolute values of the maximum difference between the two instruments for K1 and K2 were 1.1 and 1.07; thus, the consistency of the two instruments with respect to this measurement was poor. However, the absolute value of the maximum difference between the two instruments for ACD was 0.34, so the consistency of the two instruments in relation to this measurement was good. CONCLUSIONS: Both the IOL Master and the Pentacam can be used in the measurement of keratometry and ACD in patients with high myopia and cataracts, but the keratometry measurements should be compared in clinical application.

Tremor Estimation and Removal in Robot-Assisted Surgery Using Improved Enhanced Band-Limited Multiple Fourier Linear Combiner.

BACKGROUND: During a robot-assisted minimally invasive surgery, hand tremors in a surgeon's manipulation of the master manipulator can cause vibrations of the slave surgical instruments. METHODS: This letter addresses this problem by proposing an improved Enhanced Band-Limited Multiple Linear Fourier Combiner (E-BMFLC) algorithm for filtering the physiological tremor signals of a surgeon's hand. The proposed method uses the amplitude of the input signal to adapt the learning rate and a dense division of the combiner bands for the higher amplitude bands of the tremor signals. RESULTS: By using the proposed improved E-BMFLC algorithm, the compensation accuracy can be improved by 4.5%-8.9%, as well as a spatial position error of less than 1 mm. CONCLUSION: The results show that among all filtering methods, the improved E-BMFLC filtering method has the highest number of successful experiments and the lowest experimental time.

Solving the Mystery: A Case Study on Treating a Mandibular First Premolar With Multiple Canals.

The mandibular first premolar, which is the anteriormost tooth in the mandibular arch, differs from other teeth in that it typically has two roots and two to four canals. The current case involves treating a mandibular first premolar with two canals through endodontic therapy. The 42-year-old male patient's left mandibular first premolar was diagnosed with irreversible pulpitis. The lateral view X-ray depicted two canals. In the dental procedure, endodontic treatment involves working under an operating microscope and using magnification to treat the affected tooth. After canal shaping the tooth was treated with the crown after it had been cleaned and then adjusted for the bite. As aforementioned, no signs of periapical disease were observed when the tooth was rediscovered a year later. However, this case study indicates that any shift in the anatomy of the canal in premolars should be well monitored and controlled to improve endodontic treatment outcomes of such teeth as the mandibular first premolars.

The link between patient safety competence and adverse event among master of nursing students: a cross-sectional mixed-methods study.

BACKGROUND: Patient safety (PS) is a core competency for registered nurses. However, there is a gap between the PS competence of nursing students and their clinical experience in PS. This study explored the effect of PS competence levels on the occurrence of adverse events (AEs) among nursing master's students in China. METHODS: A sequential mixed methods design was used, with a purposive sample across seven colleges. A total of 327 graduate nursing students, aged 22 to 38, participated in the survey, and 15 participated in qualitative interviews. The Health Professional Education in Patient Safety Survey (H-PEPSS) assessed the students' competence levels in PS. The respondents also reported any AEs that they had been involved in over the past year. RESULTS: A total of 78 AEs occurred in the past year, with 17.7% of the participants involved 1 to 3 AEs. The most common AEs were medication administration errors (30.77%) and improper use of medical equipment/supplies (28.20%). Students acquired more competencies from the clinical setting than from the classroom setting. Three competencies learned from classroom settings were associated with clinical AEs: low clinical safety skills [OR = 0.61], inappropriate identify, response to and disclosing AE and close calls [OR = 0.454], and low confidence in working in teams with other health professionals [OR = 2.168]. Qualitative data analysis revealed five themes: recognizing AEs, reducing harm by addressing immediate risks to patients and others involved, promoting safe medication and clinical practice, managing members' authority and team dynamics, and dealing with inter-professional conflict. CONCLUSIONS: The quantitative and qualitative data align, supporting the enhancement of students' PS competence.

Coordinated Multi-Scenario Optimization Strategy for Park Photovoltaic Storage Based on Master-Slave Game.

Optimizing the operation of photovoltaic (PV) storage systems is crucial for meeting the load demands of parks while minimizing curtailment and enhancing economic efficiency. This paper proposes a multi-scenario collaborative optimization strategy for PV storage systems based on a master-slave game model. Three types of energy storage system (ESS) application scenarios are designed to comprehensively stabilize PV fluctuations, compensate for load transfers, and participate in the frequency regulation (FR) market, thereby optimizing the overall operational strategy of PV storage systems in parks. The upper-level objective is to maximize the park operators' profit, while the lower-level objective is to minimize the user's power supply costs. Case studies demonstrate that this strategy can significantly increase the economic benefits for park operators by 25.8%, reduce user electricity expenditures by 5.27%, and lower curtailment through a load response mechanism, thereby promoting the development and construction of PV storage parks.

Master of nursing programs in Australia: A desktop analysis.

Background: Master of Nursing (MN) programs serve as an important structured pathway to prepare the nursing workforce to develop advanced capabilities. Little research has been done to examine the key characteristics of MN programs in Australia and their responsiveness to meeting the health needs of the community. Aim: The aim of this desktop analysis is to provide a detailed overview of the key characteristics of MN programs in Australia. Method: A desktop analysis of MN programs in Australia utilising content analysis of publicly available information gathered from program websites of Australian Universities. Results: A total of 70 MN programs were analysed from the 28 that offered these programs. Nine categories were developed that describe the key characteristics of these programs: nomenclature and program focus, program outcomes, regulation and professional recognition, structure, work integrated learning, delivery mode, admission, and tuition fees. Inconsistencies were identified across all categories. Discussion: While Australian universities offer a diverse range of MN programs, inconsistencies across the programs can impact quality and intent and have implications for students, employees, and universities. Conclusion: There is a pressing need to ensure the quality of MN education is maintained and adequate to meet healthcare needs. The benefits and risks of professional regulation of all MN programs should be considered as a mechanism for enhancing the quality of nursing education.

A systematic mapping of public health master's and structured doctoral programs in Germany.

BACKGROUND: Well-trained public health professionals are key to addressing both global and local public health challenges of the twenty-first century. Though availability of programs has increased, the population health science (PHS) and public health (PH) higher education landscape in Germany remains scattered. To date, no comprehensive overview of programs exists. OBJECTIVES: This study aimed to map PHS and PH master's and structured doctoral programs in Germany, including selected program characteristics, curricula and target competencies. METHODS: We conducted a systematic mapping of PHS and PH programs in Germany following a prospectively registered protocol ( https://doi.org/10.17605/OSF.IO/KTCBA ). Relevant master's and doctoral programs were identified by two study authors independently searching a comprehensive higher education database, which was, for doctoral programs, supplemented with a google search. For PHS programs, general characteristics were mapped and for the subset of PH programs, in-depth characteristics were extracted. RESULTS: Overall, 75 master's and 18 structured doctoral PHS programs were included. Of these, 23 master's and 8 doctoral programs focused specifically on PH. The majority of PHS master's programs awarded a Master of Science degree (55 out of 75 programs). The PH master's program curricula offered various courses, allowing for different specializations. Courses on topics like public health, epidemiology, health systems (research) and research methods were common for the majority of the master's programs, while courses on physical activity, behavioral science, nutrition, and mental health were offered less frequently. Structured PH doctoral programs were mainly offered by medical faculties (6 out of 8 programs) and awarded a doctorate of philosophy (Ph.D.) (6 out of 8 programs). PH doctoral programs were very heterogeneous regarding curricula, entry, and publication requirements. There was a broad geographical distribution of programs across Germany, with educational clusters in Munich, Berlin, Bielefeld and Düsseldorf. CONCLUSION: Germany offers a diverse landscape of PHS and PH master's programs, but only few structured doctoral programs. The variety of mandatory courses and competencies in these programs reflect Germany's higher education system's answer to the evolving demands of the PH sector. This review may aid in advancing PH education both in Germany and globally.

Characterizing the Perceived Need for Advanced Clinical Pharmacy Training in British Columbia.

Background: Currently in Canada there are limited opportunities for advanced clinical pharmacy training after a year 1 residency. Advanced training programs currently in existence are year 2 residencies, clinical Master's degrees, and Fellowships. Objectives: To characterize the perceived need for advanced clinical pharmacy training in British Columbia and to determine the desired educational competencies to be gained through advanced training. Methods: Current pharmacy residents (academic year 2021/22) and residency graduates of the past 5 years (2017-2021), together referred to as early career pharmacists or ECPs, were surveyed. Provincial health authority pharmacy leaders who hire clinical pharmacists were also surveyed and invited to participate in key informant interviews. Results: Eighty-four ECPs and 22 pharmacy leaders participated in the surveys (estimated response rates 26% and 35%, respectively). Eleven (13%) of the ECPs had already completed advanced clinical training, and an additional 24 (29%) planned to pursue such training within 5 years. Sixteen (73%) of the pharmacy leaders had experienced difficulties in filling advanced practice positions over the previous 3 years due to a lack of qualified applicants, and 21 (95%) believed that more advanced training positions should be offered. The majority of ECPs interested in advanced training (39/60, 65%) chose year 2 residency as their preferred program, and 20 (91%) of the pharmacy leaders agreed that British Columbia should offer year 2 residencies. Both ECPs and leaders rated clinical skills and knowledge as the most important educational competencies. Conclusions: Pharmacy leaders expressed a need for more pharmacists with advanced clinical pharmacy training, and many ECPs were interested in pursuing such advanced training. Most respondents preferred the year 2 residency, with the most common goal being to improve clinical competencies.

Contexte: Actuellement au Canada, les possibilités de formation avancée en pharmacie clinique après une première année de résidence sont limitées. Les programmes de formation avancée qui existent actuellement sont les résidences de deuxième année, les maîtrises cliniques et les programmes de bourses. Objectifs: Caractériser le besoin perçu de formation avancée en pharmacie clinique en Colombie-Britannique et déterminer les compétences pédagogiques souhaitées qui doivent être acquises grâce à la formation avancée. Méthodologie: Les résidents actuels en pharmacie (année universitaire 2021­2022) et les diplômés en résidence des 5 dernières années (2017­2021), appelés ensemble « pharmaciens en début de carrière ¼ (« PDC ¼), ont été interrogés. Les responsables de pharmacie des autorités sanitaires provinciales qui embauchent des pharmaciens cliniciens ont également été interrogés et invités à participer à des entrevues à titre d'informateurs clés. Résultats: Quatre-vingt-quatre PDC et 22 responsables de pharmacie ont participé aux sondages (taux de réponse estimés à 26 % et 35 %, respectivement). Onze PDC (13 %) avaient déjà suivi une formation clinique avancée et 24 autres (29 %) prévoyaient de le faire dans les cinq ans. Seize responsables de pharmacie (73 %) ont éprouvé des difficultés à pourvoir des postes de pratique avancée au cours des trois années précédentes en raison d'un manque de candidats qualifiés, et 21 (95 %) d'entre eux étaient d'avis que des postes de formation plus avancée devraient être offerts. La majorité des PDC intéressés par une formation avancée (39/60, 65 %) ont choisi la résidence de deuxième année comme programme de premier choix, et 20 responsables de pharmacie (91 %) convenaient que la Colombie-Britannique devrait offrir des résidences de deuxième année. Les PDC et les responsables ont évalué les compétences et les connaissances cliniques comme étant les compétences théoriques les plus importantes. Conclusions: Les chefs de file des pharmacies ont exprimé le besoin de disposer d'un plus grand nombre de pharmaciens ayant une formation avancée en pharmacie clinique, et de nombreux PDC souhaitaient poursuivre une telle formation. La plupart des répondants préféraient la résidence de deuxième année, l'objectif le plus couramment cité étant l'amélioration des compétences cliniques.

Paradoxes in the coevolution of contagions and institutions.

Epidemic models study the spread of undesired agents through populations, be it infectious diseases through a country, misinformation in social media or pests infesting a region. In combating these epidemics, we rely neither on global top-down interventions, nor solely on individual adaptations. Instead, interventions commonly come from local institutions such as public health departments, moderation teams on social media platforms or other forms of group governance. Classic models, which are often individual or agent-based, are ill-suited to capture local adaptations. We leverage developments of institutional dynamics based on cultural group selection to study how groups attempt local control of an epidemic by taking inspiration from the successes and failures of other groups. Incorporating institutional changes into epidemic dynamics reveals paradoxes: a higher transmission rate can result in smaller outbreaks as does decreasing the speed of institutional adaptation. When groups perceive a contagion as more worrisome, they can invest in improved policies and, if they maintain these policies long enough to have impact, lead to a reduction in endemicity. By looking at the interplay between the speed of institutions and the transmission rate of the contagions, we find rich coevolutionary dynamics that reflect the complexity of known biological and social contagions.

Protein intake by master swimmers: Implications for practice in Sports Nutrition-A cross-sectional study.

Background: Proteins are essential for the maintenance, repair, and growth of muscle mass. This is particularly important for master athletes because aging has been associated with loss of muscle mass, function, and strength. Moreover, the timing of intake has been shown important for the best protein utilization. Aim: To analyze timing, quantity, and source of dietary protein in competitive master athletes according to current recommendations. Methods: Twenty-one male master swimmers (47.9 ± 10.0 years; 79.2 ± 6.5 kg; 179.1 ± 5.5 cm; 23.5 ± 4.9% body fat; 73.3 ± 4.2% lean mass) participated in this cross-sectional study. Protein intake was analyzed based on 7-day food records, regarding quantity, timing, and sources of intake. Protein intake was evaluated according to current international sports nutrition guidelines, including the International Society of Sports Nutrition Position Stand. Body fat (%) and lean mass (%) were evaluated using dual-energy X-ray absorptiometry. Results: Participants' mean protein intakes were 1.9 ± 0.5 g/kg/day, 0.6 ± 0.2 g/kg/meal post-training, and 33.5 ± 23.9 g during the pre-sleep period. Daily intake was within the recommended values of 1.4 and 2.0 g/kg/day (p = 0.01 and 0.147, respectively). Mean pre-sleep intake was within the recommendation values of 30-40 g (p = 0.28 and 0.147, respectively). Most of the daily protein intake was consumed at lunch (66.7 ± 6.9 g) and dinner (48.0 ± 4.5 g). Regarding protein sources, intakes from animal, vegetal, and supplements were, respectively, 65.7%, 29.2%, and 5.1%. Conclusion: Master swimmers presented a total protein intake within the recommendations for a daily basis, but the majority of intake was at lunch and dinner. Protein intake could be better distributed throughout the day to optimize protein synthesis. Guidance on daily protein intake distribution should be reinforced in clinical practice.

Design and development of an intelligent zone based master electronic control unit for power optimization in electric vehicles.

The development of electric vehicles (EVs) has been incremental because EVs satisfy a significant demand for energy sources. Electronic control unit (ECU) is an important component that processes the electric signals received from various sensors for generating the control signals for the actuators. Automotive control systems were initially operated manually throughout the automotive revolution based on the responses of input signals received from ECUs and drivers. Most of the functions in EV are controlled by the ECU and every ECU consumes power at all times even if it is not in use. The larger power consumption of passive ECUs like adaptive lighting systems (ALS), automatic wiper systems (AWS) brake light systems (BLS), etc., affect the life of ECUs and the range of EVs. This article is primarily concerned with limiting power consumption by switching the power supply to the passive ECUs based on their requirements. Hence, to achieve the objective, the intelligent zone (i-zone) based master ECU is triggered to activate the slave ECUs. Designing suites including Proteus and KiCAD were used for designing the circuits including master as well as slave ECU. This prototype is built using three secondary ECUs such as ALS & AWS and BLS which are controlled using i-zone-based master ECU. The performance of this implemented design is evaluated, and it is discovered that almost 40% of the battery consumption is reduced. This i-zone-based master ECU and all its slave ECUs manage power while ensuring the safety and reliability of EVs.

Multidisciplinary considerations for implementing Bayesian borrowing in basket trials.

Drug development has historically relied on phase I-III clinical trials including participants sharing the same disease. However, drug development has evolved as the discovery of mechanistic drivers of disease demonstrated that the same therapeutic target may provide benefits across different diseases. A basket trial condenses evaluation of one therapy among multiple related diseases into a single trial and presents an opportunity to borrow information across them rather than viewing each in isolation. Borrowing is a statistical tool but requires a foundation of clinical and therapeutic mechanistic justification. We review the Bayesian borrowing approach, including its assumptions, and provide a framework for how this approach can be evaluated for successful use in a basket trial for drug development.

Congestion Transition on Random Walks on Graphs.

The formation of congestion on an urban road network is a key issue for the development of sustainable mobility in future smart cities. In this work, we propose a reductionist approach by studying the stationary states of a simple transport model using a random process on a graph, where each node represents a location and the link weights give the transition rates to move from one node to another, representing the mobility demand. Each node has a maximum flow rate and a maximum load capacity, and we assume that the average incoming flow equals the outgoing flow. In the approximation of the single-step process, we are able to analytically characterize the traffic load distribution on the single nodes using a local maximum entropy principle. Our results explain how congested nodes emerge as the total traffic load increases, analogous to a percolation transition where the appearance of a congested node is an independent random event. However, using numerical simulations, we show that in the more realistic case of synchronous dynamics for the nodes, entropic forces introduce correlations among the node states and favor the clustering of empty and congested nodes. Our aim is to highlight the universal properties of congestion formation and, in particular, to understand the role of traffic load fluctuations as a possible precursor of congestion in a transport network.

Design and Motion Control of Master-Slave Control Endotracheal Intubation Robot.

BACKGROUND: Master-slave remote control technology allows patients to be treated promptly during transport and also reduces the risk of contagious infections. Endotracheal intubation, guided by endoscopy and a master-slave system, enables doctors to perform the procedure efficiently and accurately. METHODS: In this paper, we present the development of a master-slave controlled endotracheal intubation robot (EIR). It is based on operation incremental mapping, a weighted recursive average filtering method to reduce vibration, and a virtual fixture designed to reduce mishandling in minimally invasive surgery. RESULTS: Simulation analysis of the master-slave control demonstrates that the weighted recursive average filtering method effectively reduces vibration, while the virtual fixture assists in confining the operator's movement within a delimited area. Experimental validation confirms the validity of the robot's structural design and control method. CONCLUSIONS: The developed robot successfully achieves the necessary motion for endotracheal intubation surgery through master-slave control.

Open Digital Health Workshops - A Model for Mutual Contact and Knowledge Exchange with the Local Community.

The increasing percentage of elderly in our society is challenging the health care system. To meet the challenge, we have implemented an experience-based master's programme in digital health care. The 3-yrs 90 ECTS programme consists of physical sessions of three days duration and weekly 2-3-hour digital lectures and bi-weekly supervisions. A main goal of the program has been to involve the students in relevant local and regional health problems as well as inviting health care personnel to participate in the planning of the study program, present relevant health problems and challenges and follow our open digital health workshops. In this way we have managed to create a stimulating learning environment for both students on further education and local and regional health care personnel.

Canalizing kernel for cell fate determination.

The tendency for cell fate to be robust to most perturbations, yet sensitive to certain perturbations raises intriguing questions about the existence of a key path within the underlying molecular network that critically determines distinct cell fates. Reprogramming and trans-differentiation clearly show examples of cell fate change by regulating only a few or even a single molecular switch. However, it is still unknown how to identify such a switch, called a master regulator, and how cell fate is determined by its regulation. Here, we present CAESAR, a computational framework that can systematically identify master regulators and unravel the resulting canalizing kernel, a key substructure of interconnected feedbacks that is critical for cell fate determination. We demonstrate that CAESAR can successfully predict reprogramming factors for de-differentiation into mouse embryonic stem cells and trans-differentiation of hematopoietic stem cells, while unveiling the underlying essential mechanism through the canalizing kernel. CAESAR provides a system-level understanding of how complex molecular networks determine cell fates.

An unsupervised learning-based guidewire shape registration for vascular intervention surgery robot.

In a vascular interventional surgery robot(VISR), a high transparency master-slave system can aid physicians in the more precise manipulation of guidewires for navigation and operation within blood vessels. However, deformations arising from the movement of the guidewire can affect the accuracy of the registration, thus reducing the transparency of the master-slave system. In this study, the degree of the guidewire's deformation is analyzed based on the Kirchhoff model. An unsupervised learning-based guidewire shape registration method(UL-GSR) is proposed to estimate geometric transformations by learning displacement field functions. It can effectively achieve precise registration of flexible bodies. This method not only demonstrates high registration accuracy but also performs robustly under different complexity degrees of guidewire shapes. The experiments have demonstrated that the UL-GSR method significantly improves the accuracy of shape point set registration between the master and slave sides, thus enhancing the transparency and operational reliability of the VISR system.

Characteristics and motivational factors of candidates applying to the Master in Health Professions Education (MHPE) program.

Objective: To determine characteristics and motivational factors of applicants applying for MHPE program at a Public-sector University, Karachi. Methods: This cross-sectional descriptive study, conducted from September till October 2022, included all 60 applicants of MHPE program at Jinnah Sindh Medical University. The survey questionnaire was administered (google form) and comprised questions seeking demographic information, few questions with options to select and 34 statements to be responded on 5-point scale. One open-ended question asking motivational factor/s. Data was analyzed using SPSS and independent sample t-test was used to determine the differences between groups of applicants based on demographic factors. Results: 48 participants responded, mean age was 35.8 ± 7.3 years, with predominantly males (81.3%), graduates of medical and dental programs (n = 29), and employed in medical education departments (n = 36). Most of the applicants wanted to join the program to improve their teaching skills, especially psychomotor skills teaching (96%) and educational research [90%]. Majority (64.6%) learned about the program through peers, whereas 29.9% independently chose to pursue the program. Their primary motivation stemmed from their inability to secure admission elsewhere and the belief that minimal effort was needed to acquire the degree (mean score 4.58 ± 0.87 and 4.42 ± 0.94), respectively. For medical and dental graduates, comparable responses emerged, displaying a statistically significant correlation (p < 0.05). However, there was mutual disagreement regarding the program's structure and faculty as motivating factors. Conclusion: Primary motivations to earn an MHPE degree were to improve teaching skills. Motivations to apply to this particular program was the failure to be accepted elsewhere and the perception that minimal efforts were needed to complete this program. The program goals and purpose need to be better propagated along with changes in the admission processes in order to encourage those individuals to apply who are motivated to pursue medical education as a career.