Programming Procedure Research Articles

An Australian Football Themed Health Behaviour Change Intervention for Men With Cardiovascular Disease is Feasible and Acceptable: Results From a Feasibility Randomised Trial

Physical activity (PA) and weight management are critical for cardiovascular disease (CVD) secondary prevention. However, PA adherence during or after cardiac rehabilitation is low. Here, we assess the feasibility and acceptability of the Australian football-themed Aussie Fans in Training (Aussie-FIT) program and associated trial procedures when adapted for men with CVD. A pragmatic randomised control trial, with waitlist control arm, and follow-up measures at 3 and 6 months. Men with a CVD diagnosis and body mass index ≥25 kg/m2 were recruited from community and clinical settings, and randomised, following baseline measures of health and health behaviours. The intervention arm attended 12 face-to-face football-themed education and PA sessions. Feasibility (recruitment, retention, attendance, and adherence to trial procedures) was assessed via mixed methods. A total of 74% (64/86) of participants expressing interest met the eligibility criteria. Of those, 49 men (mean age=61.4, standard deviation=9.5, mean body mass index=31.3, standard deviation=4.2) were randomised. Program attendance rates (87% attended ≥80% of sessions) and retention (92%) were high. Trial retention at the primary end point (3 months) was high (86%) and at the 6-month follow-ups reduced to 67%. Program and trial procedures were acceptable, except for the request to visit a pathologist for the blood draw. Using a football theme and setting may be a feasible way to engage men with CVD in health behaviour change. Given the existing pilot evidence for men at risk of CVD, and that recruitment rates were under the target, trialling a program for men with or at risk of CVD is recommended.

Evaluation of the Implementation of Guidance and Counseling Programs (A Literature Study)

This study aims to explain in detail the theoretical basis and implementation of the evaluation of guidance and counseling programs in schools. The research method used is literature study, with data collection using the documentation method. Data analysis was performed using content analysis method. To ensure research accuracy and prevent misinformation in data analysis, relevant references were checked and re-read. The main objective of this research is to develop the theoretical basis and implementation of the guidance and counseling program. The results of this study include the elaboration of the basic theory and implementation of the guidance and counseling program as a whole, which includes: 1) understanding of program evaluation, 2) components of the guidance and counseling program, 3) understanding of evaluation of guidance and counseling programs, 4) the benefits of carrying out evaluation of guidance and counseling programs counseling, 5) evaluation procedures for guidance and counseling programs, 6) barriers to evaluating guidance and counseling programs.

AI-Assisted Detection of Interproximal, Occlusal, and Secondary Caries on Bite-Wing Radiographs: A Single-Shot Deep Learning Approach.

Tooth decay is a common oral disease worldwide, but errors in diagnosis can often be made in dental clinics, which can lead to a delay in treatment. This study aims to use artificial intelligence (AI) for the automated detection and localization of secondary, occlusal, and interproximal (D1, D2, D3) caries types on bite-wing radiographs. The eight hundredand sixty bite-wing radiographs were collected from the School of Dentistry database. Pre-processing and data augmentation operations were performed. Interproximal (D1, D2, D3), secondary, and occlusal caries on bite-wing radiographs were annotated by two oral radiologists. The data were split into 80% for training, 10% for validation, and 10% for testing. The AI-based training process was conducted using the YOLOv8 algorithm. A clinical decision support system interface was designed using the Python PyQT5 library, allowing for the use of dental caries detection without the need for complex programming procedures. In the test images, the average precision, average sensitivity, and average F1 score values for secondary, occlusal, and interproximal caries were obtained as 0.977, 0.932, and 0.954, respectively. The AI-based dental caries detection system yielded highly successful results in the test, receiving full approval from dentists for clinical use. YOLOv8 has the potential to increase sensitivity and reliability while reducing the burden on dentists and can prevent diagnostic errors in dental clinics.

Examining the Application of a Similar Problem-Based Learning Procedure in Teacher Education and Engineering Education Programs

This multiple case study aims to describe how Turkish students in English Language Teaching (ELT) and Electrical-Electronics Engineering Program (EEP) conceive of Problem-based Learning (PBL), and how they experience their studies within a PBL-oriented curriculum. With the inclusion of these two cases into the study, the rationale is to represent two different educational perspectives and to obtain in-depth, extensive, and comparable data. The participants from the ELT and EEP were first-year students who pursued courses in English, which is taught as a foreign language in Turkiye. During one semester, the data were collected through open-ended questionnaires and reflection reports, both of which were analyzed qualitatively with an interpretative phenomenological approach. The results revealed commonalities as well as differences in how students in these two comparable programs perceived and experienced PBL. Commonalities were many in number and involved positive perceptions along with beneficial experiences of PBL. Yet, differences only stemmed from the number of frequencies of some similar issues raised by both groups of students. The most eye-catching difference was that the EEP students emphasized the anticipated benefits of PBL less frequently than the ELT students did. However, at the end of the process, the EEP students proposed benefits gained from PBL more frequently.

Contemporary morbidity and mortality of open versus robotic cystectomy for bladder cancer: An analysis of the National Surgical Quality Improvement Program (NSQIP) procedure targeted cystectomy database

ObjectivesTo evaluate the association between surgical modality (RARC vs. ORC) and the risk of 30-day complications. Materials and MethodsWe utilized the American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) Cystectomy-Targeted database from 2019 to 2021. The primary outcome was a composite of major complications including 30-day mortality, reoperation, cardiac events, and stroke. Secondary outcomes included individual major and cystectomy-specific complications. Propensity score matching (PSM) was employed to minimize inherent differences within our cohort. We performed logistic regression to assess the association between outcomes of interest and operative modality. ResultsWe found no difference between operative modality and the primary outcome, however, RARC was associated with a 70% lower risk of 30-day mortality (OR 0.30, 95% CI 0.13-0.70) and had favorable outcomes with respect to respiratory, deep venous thrombosis, wound complications, and length of stay. Limitations are related to residual confounding given the observational methodology. ConclusionsRARC was associated with reduced risk of multiple 30-day complications, including mortality, as well as organ system and cystectomy-specific outcomes. These data support the clinical benefit of increased adoption of RARC.

Modeling and Analysis of Driven Shaft with Composite Materials

This study deals with the review of the optimization of drive shafts using ANSYS. The substitution of composite material over regular steel material for the drive shaft has expanded the upsides of the outline because of its high particular firmness and quality. The drive shaft is the primary part of the drive arrangement of a vehicle. The utilization of traditional steel for assembling drive shafts has many impediments, for example, low particular firmness and quality. Regular drive shaft is made up of two sections to build its major common twisting recurrence. A two-piece drive shaft expands the heaviness of the drive shaft which is not alluring in the present market. Numerous strategies are accessible at display for the plan advancement of basic frameworks and these strategies are in view of scientific programming procedures including slope look and direct inquiry. These techniques expect that the plan factors are persistent. Be that as it may, in useful basic building improvement, all the plan factors are discrete. This is because of the accessibility of segments in standard sizes and imperatives because of development and assembling rehearses. This paper talks about the past work done on composite drive shafts utilizing ANSYS

Implementation of an Integrative Holistic Program in Early Childhood Education (Multi Site Study at the Pembina Inti State Kindergarten in Central Banjarmasin and Pembina East Banjarmasin State Kindergarten 2)

This research aims to describe and analyze an integrative holistic program in early childhood education. This research uses a descriptive qualitative approach, multi-site design, with data collection through interviews, observation and documentation . The research results obtained regarding the implementation of an integrative holistic program in Early childhood education at Pembina Central Banjarmasin State Kindergarten and Pembina East Banjarmasin State Kindergarten 2 concluded that: 1) integrative holistic program planning in early childhood education is contained in the annual work program and standard operational procedures which are also contained in the operational curriculum of the educational unit. 2) Implementation of an integrative holistic program including education, health and nutrition, care, protection and welfare services involving collaboration with related parties across sectors.

Identifying and minimizing critical driving range thresholds for electric vehicles in intercity networks

It is well known that range anxiety faced by electric vehicle (EV) drivers nowadays can be effectively mitigated by either increasing the driving range of vehicles or increasing the distribution density of charging stations. To enact an effective research and development plan, vehicle manufacturers should understand well the relationship between the EV adoption and usage rates and the performance level of battery and energy management technologies. On the other hand, the underlying relationship between EV adoption and usage rates and the number and distribution of charging stations is also critical for charging infrastructure investors in determining their construction plans. This paper is dedicated to analytically identifying two critical driving range thresholds and further reducing these driving range thresholds as much as possible by optimally deploying charging station locations in intercity highway networks. These critical thresholds represent the turning points of individual routing convenience conditions or satisfaction levels for long-distance trips, implying that the inconvenient travel restrictions may be largely overcome if the driving range of EVs goes beyond these thresholds. For this purpose, we develop two integer programming models and dynamic programming algorithms for the driving range threshold identification problems, and extend the modeling framework to accommodate two relevant driving range threshold minimization problems as well, which are solved by a branching algorithm encapsulating the aforementioned dynamic programming procedures. The output of this research offers a set of new analytical tools for EV manufacturers to make strategic decisions on extending the driving range of their products and for charging infrastructure investors to make planning decisions on selecting charging station locations.

Judgment Errors in Surgical Care.

Human error is impossible to eliminate, particularly in systems as complex as healthcare. The extent to which judgment errors in particular impact surgical patient care or lead to harm is unclear. The American College of Surgeons NSQIP (2018) procedures from a single institution with 30-day morbidity or mortality were examined. Medical records were reviewed and evaluated for judgment errors. Preoperative variables associated with judgment errors were examined using logistic regression. Of the surgical patients who experienced a morbidity or mortality, 18% (31 of 170) experienced an error in judgment during their hospitalization. Patients with hepatobiliary procedure (odds ratio [OR] 5.4 [95% CI 1.23 to 32.75], p = 0.002), insulin-dependent diabetes (OR 4.8 [95% CI 1.2 to 18.8], p = 0.025), severe COPD (OR 6.0 [95% CI 1.6 to 22.1], p = 0.007), or with infected wounds (OR 8.2 [95% CI 2.6 to 25.8], p < 0.001) were at increased risk for judgment errors. Specific procedure types and patients with certain preoperative variables had higher risk for judgment errors during their hospitalization. Errors in judgment adversely impacted the outcomes of surgical patients who experienced morbidity or mortality in this cohort. Preventing or mitigating errors and closely monitoring patients after an error in judgment is prudent and may improve surgical safety.

Delivering an enhanced pleural procedural skill teaching programme for UK physicians in a tertiary UK hospital

Delivering an enhanced pleural procedural skill teaching programme for UK physicians in a tertiary UK hospital

Improved Model Predictive Speed Control of a PMSM via Laguerre Functions

This paper proposes a model predictive speed control strategy for a surface-mounted permanent magnet synchronous motor by applying Laguerre functions. The model predictive controller (MPC) incorporates an integrator. A quadratic programming procedure is applied to solve the constrained optimization problem online. The paper also provides a solution for stability. The performance efficiency of the proposed scheme is validated by comparing the results with the performance of an optimal linear quadratic regulator, conventional state-space model predictive control, and a simple MPC algorithm with integral action. Extensive simulation results confirm the efficacy of the proposed scheme, showing that it achieves good steady-state performance while maintaining a fast dynamic response.

Access to struct members and undefined behavior of C code

During software development, novice developers usually receive a lot of error messages and just warnings of various kinds. And if the code simply won't run when there are errors, then the program usually starts when there are various warnings. And here it is important to understand what consequences the presence of warnings of various kinds can lead to. This work aims to study the code's undefined behavior when working with struc-tures in the C programming language when issuing a corresponding compiler warn-ing about returning the address of a local or temporary variable. In the procedural programming language C, there is an ancestor of the OOP class — the structure struct, which encapsulates only the state of the entity. And the question arises — is it possible to work with separate components-fields of such a structure analogously to OOP languages? For research, a simple structure was taken, which contains information about the person's name, surname, and phone number. To access parts of the structure, pseudogetters were used — functions that returned a pointer to the corresponding part of the structure. The research was conducted in the Visual Studio 2019 environment under the control of the Windows 10 operating system when the default C language standard - MSVC and the more modern ISO standard C17 (2018) was selected in the project settings. As a result, a truly undefined behavior of the code was obtained, when the re-sult of the work of the code fragment (function call) depends on many factors: the length of the array, the standard of the C language, the position of a certain part in the structure. An attempt to conduct similar research under the control of the Linux Mint oper-ating system using the gcc compiler version 5.4 was unsuccessful. When compiling the code, a similar warning about returning the address of a local variable was also issued, as in the case of Visual Studio. But when the program was launched, it sim-ply crashed with a message about a segmentation error. Thus, both the Visual Studio 2019 compiler and the gcc compiler warned us about undefined code behavior. But this uncertain behavior was radically different for operating systems and compilers. If after gcc under the Linux OS, the code simply does not work at all and the program stops its work with a segmentation error mes-sage, then after Visual Studio under Windows, inexperienced developers with im-proper testing and verification of the code can miss the code that "does not always work", which can lead to unexpected results, not always pleasant, to say the least. And that's why software developers, especially beginners, should pay attention not only to compilation errors but also to warnings, even if the code works.

Lazy model checking for recursive state machines

Recursive state machines (RSMs) are state-based models for procedural programs with wide-ranging applications in program verification and interprocedural analysis. Model-checking algorithms for RSMs and related formalisms have been intensively studied in the literature. In this article, we devise a new model-checking algorithm for RSMs and requirements in computation tree logic (CTL) that exploits the compositional structure of RSMs by ternary model checking in combination with a lazy evaluation scheme. Specifically, a procedural component is only analyzed in those cases in which it might influence the satisfaction of the CTL requirement. We implemented our model-checking algorithms and evaluate them on randomized scalability benchmarks and on an interprocedural data-flow analysis of Java programs, showing both practical applicability and significant speedups in comparison to state-of-the-art model-checking tools for procedural programs.

Language Assessment in Bilingual Turkish-Speaking Preschoolers With Developmental Language Disorders: A Tutorial

Purpose: Developmental language disorder (DLD) is a common childhood disorder that hinders children from functioning in other developmental areas, such as social–emotional and cognitive domains. Consequently, a comprehensive speech and language assessment of children is of great importance. Of concern, however, is the challenge for speech and language pathologists to assess the speech and language skills of bilingual children. This article aims to inform clinicians, researchers, and other experts working with bilingual Turkish-speaking children with DLD about bilingual language assessment. Method: The current literature on Turkish–English bilingual language acquisition and bilingual language assessment is reviewed, and the general characteristics of bilingual development are reported. In order to understand how the first language affects the second language, a contrastive analysis of the Turkish and English languages is summarized. A case study is described to highlight essential factors to take into account when creating a comprehensive language assessment battery for Turkish, covering all areas impacted by DLD. Results: The results of the proposed language assessment protocol are analyzed, and its practical use is discussed. Additionally, the case study child's strengths and the skills requiring support are interpreted with regard to their implications for daily life activities and prospective academic requirements. Conclusions: This tutorial highlights the importance of comprehensive language assessment for the differential diagnosis of DLD in bilinguals as the most essential step to develop an appropriate intervention program and counseling procedures. Such assessment considers individual as well as cultural differences of children and their family members.

Association of pathologic factors with postoperative venous thromboembolism after gastrointestinal cancer surgery

BackgroundVenous thromboembolism (VTE) chemoprophylaxis is the standard of care after gastrointestinal (GI) cancer surgery; however, variation in risk based on pathologic factors (eg, stage and histology) is unclear. This study aimed to evaluate the association of pathologic factors with VTE after GI cancer surgery. MethodsThe American College of Surgeons National Surgical Quality Improvement Program procedure targeted datasets were queried for patients who underwent colorectal, pancreatic, primary hepatic, and esophageal cancer surgery between 2017 and 2020. Disease-specific and pathologic factors associated with postoperative VTE were evaluated using multivariable logistic regression. ResultsAmong 70,934 patients who underwent GI cancer surgery, the incidence rates of 30-day postoperative VTE were 3.3% for pancreatic cancer, 3.2% for esophageal cancer, 2.7% for primary hepatic, and 1.3% for colorectal cancer. T stage was associated with VTE for colorectal cancer (T4 vs T1; odds ratio [OR], 1.79; 95% CI, 1.24–2.60), pancreatic cancer (all T stages vs T1; P < .05), and primary hepatic cancer (T4 vs T1; OR, 2.80; 95% CI, 1.55–5.08). N stage was associated with VTE for colorectal cancer (N2 vs N0; OR, 1.33; 95% CI, 1.04–1.68) and pancreatic cancer (N2 vs N0; OR, 1.36; 95% CI, 1.03–1.81). M stage was associated with VTE for colorectal cancer (OR, 1.47; 95% CI, 1.17–1.85) and esophageal cancer (OR, 2.54; 95% CI, 1.24–5.19). Histologic subtype was not associated with VTE, except for pancreatic neuroendocrine tumors vs adenocarcinoma (OR, 1.34; 95% CI, 1.03–1.74). ConclusionPathologic factors were associated with higher 30-day VTE risk after GI cancer surgery. Acknowledging the association of pathologic factors on VTE is an important first step to considering a more tailored approach to chemoprophylaxis.

Agronomic performance and phenotypic variability of the F2 population derived from various types of okra varieties

Abstract Okra is a functional vegetable with high nutrient content and medicinal value potential. Evaluating genetic material from various genetic sources is a standard procedure in plant breeding programs. A field study was carried out to evaluate the agronomic traits of F2 populations derived from various types of varieties and assess the phenotypic variability of the traits. The research was conducted at the Research Station of the Faculty of Agriculture, Andalas University, from January to May 2021. The materials used are seeds from self-pollinated of 16 F1 populations with various varieties, i.e., hybrid, composite, introduced and local varieties. Data was collected based on an individual observation, and the data were then analyzed using descriptive statistics. Results showed that the entire population of the F2 derived from both hybrid or composite varieties, introduced or local varieties, has diverse agronomic traits, indicating their potential to be developed as parental inbred lines. All agronomic traits evaluated showed wide variability, indicating a high possibility to obtain plants with valuable and desirable traits. The exception was found for the optimum picking time; however, the optimum picking time 7, 8 or 9 DAA is sufficient to obtain fruit with higher fruit weight and fruit size.

Representation of the program model using predicates

The object of research in this article is the process of modeling programs and their subsequent development. The purpose of this article is to develop a methodology for describing and building software models in the form of nondeterministic finite automat. To achieve this goal, a task was set to improve the method for describing such models using predicates based on the MODEL CHECKING technology. The result of this article is a method for describing and presenting program models directly according to the chosen algorithm using predicates. If the program algorithm is chosen and described correctly, the resulting model should also be correct. The model will be a non-deterministic state machine that will not require further checking, as provided by the MODEL CHECKING technology. Structurally, the model will represent a special database, the processing of which will allow turning the model into a program in any procedural programming language. When developing parallel programs that are widely used for control in aviation, land transport, military affairs, etc., two additional states of the automaton are introduced into the model, which take into account the features of such programs. Therefore, a state monitor is provided for access to shared resources and a state protocol to process parallel branches of the program. To describe the algorithm of the program, we propose to present it in the form of a connected sequence of certain actions using predicates with the use of extended temporal logic. This description covers both the logic of the program and its branches and the specific actions at each location of the program model. With the help of this methodology, a program model of a stack algorithm was developed, which is the main component for the future automated system of processing the description of program models. The program which was created according to this technology, is currently in the testing and verification stage. The sequence of processing steps of such a model is shown in the example of a floating-point constant translation program. This program is also created using this technology in the target language assembly, has been fully tested, and has shown its functionality. This description covers both the logic of the program with its branches and the specific actions at each location of the application model. Conclusions: with a correct description of the program algorithm, an adequate model of it is built, with the help of which the program itself is created in the target procedural programming language. Note that in the conditions of the rapid development of management and control automation systems in various spheres of human activity, research on the creation of reliable based on the description of their models is an urgent problem.004.414.23:510.637

Safety and efficacy of a nitrous oxide procedural sedation programme in a paediatric emergency department: a decade of outcomes

BackgroundNitrous oxide (N2O) has multiple benefits in paediatric procedural sedation (PPS), but use is restricted by its limited analgesic properties. Analgesic potency could be increased by combining N2O and intranasal...

Unravelling the quality of malaria microscopy across Kinshasa, DR Congo.

In the current study we assessed clinical laboratories' staff ability across the city of Kinshasa with particular focus on their practices and performance regarding malaria microscopy. This was a non-random cross-sectional study included clinical laboratories in Kinshasa and focused on cross-checking of blood slides, a questionnaire and checklist according to standardised analytic malaria microscopy procedures. Regarding the cross-checking of slides, participant responses were considered 'corrects' in cases of complete congruence with the reference; 'acceptable' for malaria-positive slides but no identification of Plasmodium species, stage of development, parasite density and/or reported as P. falciparum instead of 'P. non falciparum'; and 'incorrect' if 'false positive' and 'false negative' cases. Eighty-eight among the 90 targeted clinical laboratories (participation 97.8%) took part in the investigation from February to July 2019. The ability assessment revealed that individuals qualified to perform thick blood films (TBF) according to the national malaria control program (NMCP) procedures ranged from 48.6% to 100.0%. Overall cross-checking performance of 167 eligible routine slides was relatively low: 37.7%; 25.8% and 36.5% of correct, acceptable and incorrect responses, respectively. The first routine slide was correctly and acceptably scored respectively by 35.3% and 28.2% of participating laboratories (n = 85); and the second, by 40.2% and 23.2% respectively (n = 82). The sensitivity and specificity were found to be 79.4% and 53.8%, respectively. However, the relative high scores reported in relation with the ability needed to perform TBF based on NMCP standards contrasted with the poor performance from cross-checking slides. Consecutively, only one-third of the 88 participating laboratories reached a score > 60% in agreement with NMCP procedures and had acceptable responses to cross-checked slides. The study was conducted as part of the activities relating to "Ensuring early diagnosis and prompt malaria treatment" component of the national malaria control strategy with NMCP support. More laboratories must implement clear and standardised malaria microscopy procedures, and need to include more rigorous quality control.

Amplitude Adaptive Modulation of Neural Oscillations Over Long-Term Dynamic Conditions: A Computational Study.

Closed-loop deep brain stimulation (DBS) shows great potential for precise neuromodulation of various neurological disorders, particularly Parkinson's disease (PD). However, substantial challenges remain in clinical translation due to the complex programming procedure of closed-loop DBS parameters. In this study, we proposed an online optimized amplitude adaptive strategy based on the particle swarm optimization (PSO) and proportional-integral-differential (PID) controller for modulation of the beta oscillation in a PD mean field model over long-term dynamic conditions. The strategy aimed to calculate the stimulation amplitude adapting to the fluctuations caused by circadian rhythm, medication rhythm, and stochasticity in the basal ganglia-thalamus-cortical circuit. The PID gains were optimized online using PSO, based on modulation accuracy, mean stimulation amplitude, and stimulation variation. The results showed that the proposed strategy optimized the stimulation amplitude and achieved beta power modulation under the influence of circadian rhythm, medication rhythm, and stochasticity of beta oscillations. This work offers a novel approach for precise neuromodulation with the potential for clinical translation.