Programmers Research Articles

PO0249: Assessment of Anatomical Variation for Patient-Tailored Cervical Cancer Brachytherapy Applicator Development

PO0249: Assessment of Anatomical Variation for Patient-Tailored Cervical Cancer Brachytherapy Applicator Development

0.2-mm-Step Verification of the Dual Gaussian Distribution Model with Large Sample Size for Predicting Tap Success Rates

The Dual Gaussian Distribution Model can be utilized for predicting the success rates of tapping targets. However, previous studies have shown that the prediction error increases to as much as 10 points, where "points" represent the percentage difference between the observed and predicted values of the tap success rate, particularly for a small target width W such as 2 mm. We hypothesize that this could be due to the experimental designs with sparse W levels performed by few participants, rather than the model itself. Our experiment involving horizontal and vertical bar targets with W = 2-8 mm (step: 0.2 mm) performed by more than 180 participants showed that the maximum prediction errors were relatively small: 2.769 and 3.185 points, respectively. Furthermore, the correlation between W and the prediction error was statistically small (Pearson's |r| < 0.2), and W was not a significant contributor to changing prediction errors (p>0.05). As these results do not support the concerns that the Dual Gaussian Distribution Model has an issue when used with small targets, the development of applications and refined models is encouraged to continue.

IT Team Project Management Transformation Plan for TIC Company’s IT Division

Nowadays, organizations are increasingly reliant on information technology to maintain efficient and effective internal systems, stay competitive, and meet the evolving needs of their customers. However, organizations facing challenges often include delays in project delivery, difficulties in managing workflows, and issues with accurately tracking progress and performance. The Information Technology Division of one of the testing, inspection, and certification companies in Indonesia is responsible for application development but frequently encounters operational issues such as development delays, unaddressed requests, difficulties in tracking project timelines and completions, and unclear job description alignments. This study examines Waterfall, Kanban, and Scrum Agile methodologies through case studies and Design Science Research Methodology to address these issues. Scrum Agile, with its principles and practices, is selected as the preferred solution for resolving these recurring problems. The research proposes transitioning project management to Scrum Agile methods and demonstrates how these methods effectively address several existing challenges. This approach results in the development of a new system that implements Scrum Agile for project management within the department. This research can enhance the efficiency and effectiveness of application development and improve project visibility and control for the organization. Additionally, it provides learning through comparative analysis to identify appropriate new methods and systems based on the case study.

Modified Literature Circles: Improving ESP Students’ English-speaking Skills Through Movie Circles

For Thai students, English-speaking skills have been among the most problematic. This study aims to compare the English-speaking skills of English for Specific Purposes (ESP) students before and after employing movie circles, and to investigate their attitudes toward employing movie circles. The participants consisted of 30 ESP students studying a dual program in social development and education at a public university in Thailand. They were also classified as pre-service social studies teachers. A mixed-methods study was performed utilizing the one-group pre-test-post-test design. Both qualitative and quantitative methods were employed. The instruments were movie circle lesson plans, pre- and post-English-speaking tests, an attitude questionnaire, and semi-structured interview questions. The results revealed significant improvement in the ESP students’ English-speaking skills, as well as positive attitudes toward using movie circles to improve English-speaking skills. The findings suggest that movie circles, or peer-led discussion activities, can be integrated into ESP classrooms with the specific goal of improving English-speaking skills.

Diagnostic point-of-care ultrasound in obstetric anesthesia and critical care: a scoping review protocol

BackgroundPoint-of-care ultrasound (POCUS) has gained popularity as a bedside diagnostic imaging modality. In obstetrical populations, particularly in acute care settings, POCUS serves as a valuable complement to clinical assessment. Despite its many applications, only a few have been defined and validated in the obstetric population. This scoping review aims to delineate literature on the diagnostic applications of POCUS in obstetric anesthesia and critical care.MethodsThis review will adhere to the Joanna Briggs Institute methodology for scoping reviews, as updated by Arksey and O’Malley and in stages elaborated by Levac et al. Relevant literature will be identified using Medical Subject Headings (MeSH), keyword, and proximity searches and combined using Boolean operators in PubMed, Embase, and Web of Science from January 1, 2000, to the present. Two independent reviewers will screen literature against predefined eligibility criteria in abstract and full-text forms. A third reviewer will be consulted if consensus cannot be reached. Data extraction will be systematic, focusing on pre-specified variables aligned with the review’s aims. Descriptive statistical and thematic analysis will follow data extraction, with findings presented in graphical and tabular forms. The reporting will follow Preferred Reporting Items for Systematic reviews and Meta-Analysis extension for Scoping Reviews (PRISMA-ScR).ConclusionThis review will present the scope of the current literature on diagnostic POCUS in obstetric anesthesia and critical care, highlighting both strengths and gaps in existing knowledge. The insights gained will support future research, knowledge synthesis, and development of educational programs. The findings will be disseminated through peer-reviewed journal publications, conferences, and social media platforms.Systematic review registrationNot applicable.

BLOOD PRESSURE MONITORING USING TELEMEDICINE TECHNOLOGIES IN PATIENTS WITH HEART FAILURE

An urgent task of modern cardiology is to ensure continuous monitoring of cardiovascular patients' condition indicators. Monitoring of patients with heart failure (HF) is especially important due to the instability of the condition, extremely high prevalence of pathology and life-threatening. Currently, active search and development of optimal devices and programs for medical telemonitoring continues. The review presents the results of Russian and foreign studies on the introduction of invasive and non-invasive technologies for blood pressure (BP) monitoring and demonstrates their clinical significance. The comparison of clinical data of several studies using wireless remote monitoring of pulmonary artery pressure with the help of CardioMEMS sensor was carried out. Mobile applications and telephone monitoring are also considered as an alternative to invasive devices, and information about their effectiveness and impact on the quality of life of patients is given. The article also compares the effectiveness of treatment of hypertension and HF using remote monitoring with standard practice and demonstrates the dependence of the risk of hospitalization for HF and the presence of monitoring of the condition.

Understanding leadership challenges faced by humanitarian aid workers: insights from the experiences of NNPHL training participants

This paper examines the self-reported leadership challenges experienced by humanitarian aid workers who participated in the National NGO Program on Humanitarian Leadership (NNPHL) Program. Data were drawn from NNPHL program participants describing leadership challenges they faced in their humanitarian work. Responses were analyzed qualitatively revealing 10 broad themes of leadership challenges: (1) organizational capacity and resource constraints, (2) managerial decision-making styles, (3) bureaucracy and external influence, (4) purpose, motivation, and influence, (5) coordination and cooperation, (6) trust and cohesion within teams, (7) staff well-being and burnout, (8) identity and diversity, (9) self-efficacy and confidence, (10) security. These findings were then situated in the broader literature on challenges identified in humanitarian aid contexts. Humanitarian aid workers offer valuable first-hand insights into the leadership challenges they face in their work. Understanding leadership challenges from the perspective of aid workers provides valuable insight that can be used to inform decision-making and policy development within humanitarian organizations. The findings can also help inform and shape the development of humanitarian training programs by tailoring humanitarian education curricula to address the challenges encountered by aid workers themselves.

THE HERITAGE OF VLADIGEROV – THE MUSEUM UP CLOSE

The preservation, scientific processing and presentation of the rich material and musical heritage of the classic Bulgarian composer Pancho Vladigerov are the main goals of the Pancho Vladigerov House Museum – Sofia. In fulfillment of Vladigerov's will and thanks to the donative gesture of his wife, Mrs. Elka Vladigerova, today the composer’s former home houses his archive, painstakingly collected by him throughout his life. The diversity and uniqueness of the collections in the museum's holdings are a prerequisite for the development of thematic documentary exhibitions, educational programs, and multi-genre concerts, as well as many accompanying events that attract young audiences and introduce them to the composer's personality and the recognition he received as a leading figure in Bulgarian musical culture, as well as on a European and global scale. The team’s work is focused on turning the house that has preserved the unique atmosphere of Vladigerov's home in the capital's Lozenets district at 10 Yakubitsa Street into an attractive cultural center.

Simultaneous generation of dual 16-QAM-modulated millimeter-wave signals enabled by precoding-based optical I/Q modulation and single photodetector detection

Integration of quadrature-amplitude-modulation (QAM) modulation and millimeter-wave (mm-wave) technology ensures a concise enhancement of transmission capacity and peak data rates in radio-over-fiber (RoF) systems. Nevertheless, with the continuous development of new-generation mobile applications, higher demands on access flexibility have also been formulated. We propose a novel, to the best of our knowledge, dual 16-QAM-modulated mm-wave signal generation scheme for the simultaneous generation and transmission of two independent 16-QAM signals with different carrier frequencies, enhancing the channel capacity, spectrum efficiency, and access flexibility of the RoF systems. In our proposed scheme, the generation of the optical dual 16-QAM-modulated mm-wave signals is implemented by a precoding-based optical in-phase/quadrature (I/Q) modulator operating at optical carrier suppression (OCS) mode, and their detection is implemented by a single photodetector (PD). At the transmitter side, two independent driving QAM vector radio-frequency (RF) signals with precoding, generated via digital signal process (DSP), are fed into two parallel Mach–Zehnder modulators (MZMs) of an I/Q modulator to implement OCS modulation. The I/Q modulator generates optical carriers carrying both information from different QAM signals simultaneously. After square-law detection in a single PD, we generate the desired dual 16-QAM-modulated mm-wave signals with photonic frequency-doubling and recover the original 16-QAM signals without information distortion. Based on our proposed scheme, we experimentally demonstrate the simultaneous generation and transmission of 2-Gbaud dual 16-QAM-modulated mm-wave signals with carrier frequencies of 26 GHz and 40 GHz, respectively. After transmission over 10-km single-mode fiber (SMF) link and 1.2-m wireless link, the dual 16-QAM signals can be successfully separated and demodulated by a common DSP. Bit-error ratios (BERs) of both recovered 16-QAM signals can reach the hard-decision forward-error-correction (HD-FEC) threshold of 3.8×10−3. Compared with the existing schemes, our scheme only requires one-half of the driving frequency to generate dual 16-QAM-modulated mm-wave signals with the same carrier frequency. The result indicates that our proposed scheme can lower bandwidth requirements for optoelectronics devices, along with implementing better spectral efficiency and receiver sensitivity, which is more applicable to the demands for increased system capacity and multi-frequency access flexibility in future systems.

Prediction of human O-linked glycosylation sites using stacked generalization and embeddings from pre-trained protein language model.

O-linked glycosylation, an essential post-translational modification process in Homo sapiens, involves attaching sugar moieties to the oxygen atoms of serine and/or threonine residues. It influences various biological and cellular functions. While threonine or serine residues within protein sequences are potential sites for O-linked glycosylation, not all serine and/or threonine residues undergo this modification, underscoring the importance of characterizing its occurrence. This study presents a novel approach for predicting intracellular and extracellular O-linked glycosylation events on proteins, which are crucial for comprehending cellular processes. Two base multi-layer perceptron models were trained by leveraging a stacked generalization framework. These base models respectively employ ProtT5 and Ankh O-linked glycosylation site-specific embeddings whose combined predictions are used to train the meta-multi-layer perceptron model. Trained on extensive O-linked glycosylation datasets, the stacked-generalization model demonstrated high predictive performance on independent test datasets. Furthermore, the study emphasizes the distinction between nucleocytoplasmic and extracellular O-linked glycosylation, offering insights into their functional implications that were overlooked in previous studies. By integrating the protein language model's embedding with stacked generalization techniques, this approach enhances predictive accuracy of O-linked glycosylation events and illuminates the intricate roles of O-linked glycosylation in proteomics, potentially accelerating the discovery of novel glycosylation sites. Stack-OglyPred-PLM produces Sensitivity, Specificity, Matthews Correlation Coefficient, and Accuracy of 90.50%, 89.60%, 0.464, and 89.70%, respectively on a benchmark NetOGlyc-4.0 independent test dataset. These results demonstrate that Stack-OglyPred-PLM is a robust computational tool to predict O-linked glycosylation sites in proteins. The developed tool, programs, training, and test dataset are available at https://github.com/PakhrinLab/Stack-OglyPred-PLM. Supplementary data are available at Bioinformatics online.

Application and Prospect of Strapdown Inertial Navigation System in Coal Mining Equipment

In recent years, with the rapid construction of a safe, clean, efficient and sustainable modern energy system, the intelligence of coal mining has become the inevitable direction of the development of the coal mining industry. The intelligence of coal mining system and equipment is the core of intelligent mining, and the positioning technology of mining equipment is the key to underground intelligent mining. The strapdown inertial navigation system can make up for the shortcomings of traditional GPS positioning systems and laser positioning because of its strong anti-interference, high precision and real-time monitoring, and ability to carry out real-time dynamic positioning of mining equipment in underground coal mines. This paper briefly introduces the basic principle of the strapdown inertial navigation system, analyzes the application of the existing strapdown inertial navigation system in mining equipment, and lists and analyzes the research status of the improvement strategy of the inertial navigation system, such as zero speed correction and integrated navigation technology. Finally, by analyzing the application and future development trend of inertial navigation systems in mining equipment, this paper provides more data and method support for the positioning of mining equipment in the future.

Artificial intelligence systems for predicting disease outcomes in chronic ischemic heart disease patients who have undergone cardiac surgery in respect of anemic syndrome (review).

Materials and methods. The PubMed and RSCI databases were analyzed covering the period of 2000-2023. 906 articles were found using the keywords “artificial intelligence”, “anemia”, coronary artery disease”, “hemoglobin”, “cardiac surgery”, of which 38 met the criteria for inclusion in the analysis. Results. In a number of countries around the world, artificial intelligence (AI) systems have now been created to predict the course of IHD, however, at the moment, data have been published on the single system with AI elements, presented by the developers of the University of Turin (Italy). It has the functionality of predicting the course of IHD and complications of invasive procedures for IHD against the background of anemic syndrome, based on the use of the HAS-BLEED scale. The increase in the number of CABG operations determines the importance of further research into their long-term results and the development of programs for their management, which will take into account such factors that are important for choosing a strategy for their management and the possibility of influencing the risks of an unfavorable prognosis. This review presents published data on the developed and used digital products based on artificial intelligence intended for the management of patients with coronary artery disease, including taking into account basic hematological parameters. Conclusion. Analysis of existing developed AI systems showed a focus on solving prognostic issues. At the same time, in our opinion, the range of analyzed parameters is not wide enough, in particular, taking into account the presence of anemia, which plays one of the key roles in modifying the risk of adverse outcomes (coronary deaths, repeated acute coronary events, progression of CHF).

Childhood Emotional Trauma and Flourishing in Female College Students.

There are few studies that measure the effects of childhood emotional trauma on female college students' positive perceptions and attitudes toward their present lives. Therefore, this study analyzes how female college students' emotional trauma induced by child emotional abuse influences their flourishing as adults. To this end, a descriptive survey via an online platform was conducted from November 26 to December 3, 2022. The participants were 318 female college students aged 18 to 35 in South Korea, who experienced parental emotional abuse when they were younger than 18 years old. The survey was conducted to validate the moderating effects of resilience and cognitive emotion regulation strategies on the relationship between female college students' childhood emotional trauma and flourishing. The data were analyzed using descriptive statistics, t-tests, analysis of variance, Pearson's correlation coefficient, and Hayes' PROCESS macro. Self-blame, other-blame, and positive refocusing factors of the Cognitive Emotion Regulation Questionnaire were found to moderate the relationship between childhood emotional trauma and flourishing. Specifically, the self-blame strategy intensified the negative moderation effect. As flourishing depends on the degree of self-blame, fostering optimism by mitigating self-blame is necessary. The other-blame strategy attenuated the negative impact of childhood emotional trauma on flourishing. Nevertheless, this strategy can weaken emotions if individuals fail to regulate them independently. A positive refocusing strategy also effectively moderated the relationship between childhood emotional trauma and flourishing by alleviating the former's adverse effects. By contrast, resilience lacked a moderation effect. To overcome past emotional adversities and lead a flourishing life, interventions that actively utilize relational resources within the campus and regulate irrational beliefs, such as self-blame and blame toward others are necessary. These findings provide critical foundational data for the development of programs aimed at fostering a forward-thinking cognitive framework, thus enabling them to focus on future plans despite memories of emotional abuse.

Exploring RNA therapeutics for urea cycle disorders.

RNA has triggered a significant shift in modern medicine, providing a promising way to revolutionize disease treatment methods. Different therapeutic RNA modalities have shown promise to replace, supplement, correct, suppress, or eliminate the expression of a targeted gene. Currently, there are 22 RNA-based drugs approved for clinical use, including the COVID-19 mRNA vaccines, whose unprecedented worldwide success has meant a definitive boost in the RNA research field. Urea cycle disorders (UCD), liver diseases with high mortality and morbidity, may benefit from the progress achieved, as different genetic payloads have been successfully targeted to liver using viral vectors, N-acetylgalactosamine (GalNAc) conjugations or lipid nanoparticles (LNP). This review explores the potential of RNA-based medicines for UCD and the ongoing development of applications targeting specific gene defects, enzymes, or transporters taking part in the urea cycle. Notably, LNP-formulated mRNA therapy has been assayed preclinically for citrullinemia type I (CTLN1), adolescent and adult citrin deficiency, argininosuccinic aciduria, arginase deficiency and ornithine transcarbamylase deficiency, in the latter case has progressed to the clinical trials phase.

Spin-Lifetime Probe for Detecting Intramolecular Noncovalent Interaction in Organic Semiconductors.

Intramolecular noncovalent interaction (INCI), a crucial strategy for effectively enhancing molecular planarity and extending π-electron delocalization in organic semiconductors (OSCs), has played an increasingly important role in optoelectronic applications. However, though the INCI formation is regularly considered to improve the device performance by literature, there is no feasible approach to directly and reliably characterizing its formation in practical-OSC films thus far. Here in this study, by theoretical analysis and calculation, the generation of INCIs in OSCs is found, normally consisting of relatively heavy elements, such as O···Se, O···S, N···S interactions, etc., can induce enhanced strength of spin-orbit coupling, the primary factor dominating spin lifetime in OSCs. Based on this newly discovered theory, spin lifetime is creatively employed as a probe for sensitively detecting INCIs in OSC films via spin valves or field-induced electron paramagnetic resonance, respectively. This study will highly promote academic and applicable developments of the cross-cutting frontier research field between organic spintronics and electronics.

Knowing, Being and Becoming a Person-Centred Nurse Leader: Findings from a Transformative Professional Development Programme.

Background/Objectives Leadership is central to the development of effective workplace cultures and as such should be viewed as a practice that is relational, exercised through a process of mutual and reciprocal influence. Person-centred leadership is an approach to leadership that supports a way of being that is authentic, prioritising values lived out in action. However, there is an increasing recognition that leadership development has not been impactful in relation to workplace culture. This paper reports on the ongoing evaluation of an innovative development programme (Queen's Nurse Development Programme), the overall aim of which was to illuminate the participants' experiences of engaging in transformative learning and development and identify the technical and transformative outcomes arising. The programme focused on developing leadership capacity for societal change and maximising the health impact of community nursing leaders. Methods The methodological framework for evaluation was underpinned by a Collaborative Critical Creative Inquiry. Twenty community nurses were selected to undertake the programme during 2020. The collection and analysis of data was consistent with the Collaborative Critical Creative Inquiry and was conducted as a one-day workshop, with participants engaged in a cycle of creative hermeneutic analysis. Results A total of seven themes were identified, including: sense of belonging; personal growth; developing new skills; finding voice; importance of self-care; and creating a safe place. This illuminated how the transformative learning and development processes within this programme were experienced and how these enabled participants to explore how they influence their practice and workplace. It is the journey with self that generates a sense of belonging and enables personal growth and the ability to care for self and others. Conclusions The key learning from this innovative development programme is the importance of focusing on the attributes of practitioners and the key building blocks for knowing, being, and becoming a person-centred practitioner.

Erratum: Using A Tiered Approach for Implementing Networked Learning Communities: A Case Study on Developing the Capacity of Leaders to Implement Systemwide Innovations within International Training and Development Programs

Erratum: Using A Tiered Approach for Implementing Networked Learning Communities: A Case Study on Developing the Capacity of Leaders to Implement Systemwide Innovations within International Training and Development Programs

Tailoring Entrepreneurial Education: Demand-Driven Insights for an Entrepreneurial Online Mentoring Program

The 2023 European Innovation Scoreboard reveals that there is an innovation asymmetry between different European Union (EU) regions, which is leading to an innovation gap. In particular, southern and eastern EU countries showcase a lower level of innovation compared to their northern and western counterparts. To tackle this issue, the ENTRPRENEDU project, funded by the European Union, endeavors to bridge the innovation and educational divide across EU regions through a scalable "Venture Building Program". At its core lies the precisely crafted ENTREPRENEDU mentoring program, which aims to nurture 12, through hackathons selected, teams from the emerging to moderate-innovation countries Italy, Greece, and Bulgaria. This paper presents the methodological framework, execution, and results of the demand analysis underpinning the development of the ENTRPRENEDU online mentoring program. Employing a qualitative research design for the demand analysis, semi-structured interviews were conducted to delve into the nuanced needs and experiences of the participating teams. These hour-long sessions followed a pre-defined guideline and aimed to determine the specific entrepreneurial needs of the participating teams. For the analysis of interview data, a thematic approach was utilized revealing clusters of predominant demands among the teams, serving as the cornerstone for deriving six overarching mentoring modules. These modules were tailored to address the identified demands and laid the foundation for the program's curriculum development. Each mentoring module was crafted to align with the specific learning objectives of the teams, ensuring targeted guidance tailored to their unique journey. This paper highlights the symbiotic relationship between the identified demands of the teams and the structured mentoring curriculum, underscoring its significance in providing tailored support conducive to their success. The findings not only contribute to the academic discourse on mentoring program development but also hold practical implications for policymakers, educators, and entrepreneurs striving to foster innovation and entrepreneurship in their respective contexts.

Predicting 5G throughput with BAMMO, a boosted additive model for data with missing observations

Abstract To deliver on the promise of 5G, network providers and application developers need to understand the factors impacting millimetre wave (mmWave) 5G throughput. Missing data, however, pose significant challenges for modelling throughput. Even in controlled settings, signal strength data may be only intermittently observed when a device’s connection is weak, leading to missing predictor values in model training. In addition, users may choose not to share their data once the model is deployed, meaning that key predictors may be missing when we want to predict throughput for their devices. To address these challenges, we introduce boosted additive model for data with missing observation (BAMMO), a novel additive model estimator obtained via a componentwise boosting algorithm that naturally incorporates data with missing values in model fitting. We validate BAMMO’s approach to handling missing data by comparing it with competing methods on real 5G network data with a high proportion of missing values and in simulations, finding that it delivers more accurate predictions and takes less time to compute. To identify key predictors of mmWave 5G throughput, we develop a novel extension of sparsity oriented importance learning for BAMMO, giving us a measure of variable importance based on the entire boosting solution path rather than a single selected model.

Increased risk of genitourinary cancer in kidney transplant recipients: a large-scale national cohort study and its clinical implications.

To investigate the risk of genitourinary (GU) cancer in kidney transplant recipients (KTRs) compared to that in the general population, focusing on potential risk factors and clinical implications. Using a national cohort of approximately 360,000 individuals, including 31,542 KTRs, we conducted a retrospective analysis of the data from 2007 to 2018. Propensity score matching was used to compare KTRs with a healthy population, adjusting for age, sex, diabetes, hypertension, and hypercholesterolemia. We identified a significantly increased risk of GU cancers, particularly bladder and kidney cancers, in KTRs. Multivariate analysis revealed a higher risk of GU cancer associated with kidney transplantation [hazard ratio (HR) 2.133, 95% confidence interval (CI) 1.641-2.772] and hypercholesterolemia (HR 1.725, 95% CI 1.227-2.425), with older age and male sex also being significant risk factors. Conversely, no significant increase in prostate cancer risk was observed in KTRs compared to the general population. This national cohort-based study indicated an increased risk of GU cancer in KTRs, underscoring the need for targeted cancer surveillance and pre- and post-transplant counseling. These findings provide valuable insights for the development of cancer surveillance programs for KTRs and highlight the necessity for further research in this field.