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FEASST is an open-source Monte Carlo software package for particle-based simulations. This software, which was released in 2017, has been used to study phase equilibrium, self-assembly, aggregation or gelation in biological materials, colloids, polymers, ionic liquids, and adsorption in porous networks. We highlight some of the unique features available in FEASST, such as flat-histogram grand canonical ensemble, Gibbs ensemble, and Mayer-sampling simulations with support for anisotropic models and parallelization with flat-histogram and prefetching. We also discuss how the challenges of supporting a variety of Monte Carlo algorithms were overcome by an object-oriented design. This also allows others to extend classes, which improves software interoperability, as inspired by LAMMPS classes and user packages. This article describes version 0.25.1 with benchmarks, compilation instructions, and introductory tutorials for running, restarting, and testing simulations, user guidelines, software design strategies, alternative interfaces, and the test-driven development strategy. [ABSTRACT FROM AUTHOR]

Atomic-scale simulations have progressed tremendously over the past decade, largely thanks to the availability of machine-learning interatomic potentials. These potentials combine the accuracy of electronic structure calculations with the ability to reach extensive length and time scales. The i-PI package facilitates integrating the latest developments in this field with advanced modeling techniques thanks to a modular software architecture based on inter-process communication through a socket interface. The choice of Python for implementation facilitates rapid prototyping but can add computational overhead. In this new release, we carefully benchmarked and optimized i-PI for several common simulation scenarios, making such overhead negligible when i-PI is used to model systems up to tens of thousands of atoms using widely adopted machine learning interatomic potentials, such as Behler–Parinello, DeePMD, and MACE neural networks. We also present the implementation of several new features, including an efficient algorithm to model bosonic and fermionic exchange, a framework for uncertainty quantification to be used in conjunction with machine-learning potentials, a communication infrastructure that allows for deeper integration with electronic-driven simulations, and an approach to simulate coupled photon-nuclear dynamics in optical or plasmonic cavities. [ABSTRACT FROM AUTHOR]

MiMiC is a framework for performing multiscale simulations in which loosely coupled external programs describe individual subsystems at different resolutions and levels of theory. To make it highly efficient and flexible, we adopt an interoperable approach based on a multiple-program multiple-data (MPMD) paradigm, serving as an intermediary responsible for fast data exchange and interactions between the subsystems. The main goal of MiMiC is to avoid interfering with the underlying parallelization of the external programs, including the operability on hybrid architectures (e.g., CPU/GPU), and keep their setup and execution as close as possible to the original. At the moment, MiMiC offers an efficient implementation of electrostatic embedding quantum mechanics/molecular mechanics (QM/MM) that has demonstrated unprecedented parallel scaling in simulations of large biomolecules using CPMD and GROMACS as QM and MM engines, respectively. However, as it is designed for high flexibility with general multiscale models in mind, it can be straightforwardly extended beyond QM/MM. In this article, we illustrate the software design and the features of the framework, which make it a compelling choice for multiscale simulations in the upcoming era of exascale high-performance computing. [ABSTRACT FROM AUTHOR]

BACKGROUND: The consent protocol is now a critical part in the overall orchestration of clinical research. We aimed to demonstrate the feasibility of an Ethereum-based informed consent system, which includes an immutable and automated channel of consent matching, to simultaneously assure patient privacy and increase the efficiency of researchers data access. METHOD: We simulated a multi-site scenario, each assigned 10000 consent records. A consent record contained one patients data-sharing preference with regards to seven data categories. We developed a blockchain-based infrastructure with a smart contract to record consents on-chain, and to query consenting patients corresponding to specific criteria. We measured our systems recording efficiency against a baseline design and verified accuracy by testing an exhaustive list of possible queries. RESULTS: Our method achieved ∼3-4% lead with an average insertion speed of ∼2 s per record per node on either a 3-, 4- or 5-node network, and 100 % accuracy. It also outperformed other solutions in external validation. DISCUSSION: The speed we achieved is reasonable in a real-world system under the realistic assumption that patients may not change their minds too frequently, with the added benefit of immutability. Furthermore, the per-insertion time did improve slightly as the number of network nodes increased, attesting to the benefit of node parallelism as it suggests no attrition of insertion efficiency due to scale of nodes. CONCLUSIONS: Our work confirms the technical feasibility of a blockchain-based consent mechanism, assuring patients with an immutable audit trail, and providing researchers with an efficient way to reach their cohorts.

Digital heritage portal interfaces are generally similar to digital library and search engine interfaces in displaying search results as a list of brief metadata records. The knowledge organization and search result display of these systems are item-centric, with little support for identifying relationships between items. This paper proposes a knowledge graph system and visualization interface as a promising solution for digital heritage systems to support users in browsing related items, understanding the relationships between items, and synthesizing a narrative on an issue. The paper discusses design issues for the knowledge graph, graph database, and graph visualization, and offers recommendations based on the authors' experience in developing three knowledge graph systems for archive and digital humanities resources: the Zubir Said personal archive collection at the Nanyang Academy of Fine Arts, Singapore; Singapore Pioneers social network; and Polyglot Medicine knowledge graph of Asian traditional and herbal medicine. Lessons learned from a small user study are incorporated in the discussion. [ABSTRACT FROM AUTHOR]

In public libraries, especially those in rural settings, it is important that every dime of library funding is leveraged effectively into serving the community. As part of a year-long project beginning in January 2023, we are evaluating item-level cost-effectiveness for each circulating item housed at the public library in Lakeville, Indiana. Through the use of big(ish) data, some custom Python scripting, and machine learning algorithms we hope to answer: How much money is saved by library patrons through their use of the public library's physical collection? How much money is saved by the community through the operation of a public library based on the use of the circulating collection? And are there any non-obvious traits which make an item or title a more or less cost-effective circulating asset? In this column, I will describe the scripts, share initial findings, discuss challenges, and investigate next steps. [ABSTRACT FROM AUTHOR]

In terms of utility and technical quality, open-source software solutions have become a common option for many libraries. As barriers to adoption have been reduced and systems such as FOLIO appear poised to change the landscape of LIS technology, it is worth examining how the use of open source can support the normative core values of librarianship and to outline a strategy for critical engagement with the technology that is beneficial to patrons and libraries. Such a strategy will require further codification, institutionalization, and investigation of open source at many levels. [ABSTRACT FROM AUTHOR]

Purpose: To investigate cytokine levels in peri-implant crevicular fluid and thus evaluate the effects of concentrated growth factor (CGF) on osseointegration. Materials and Methods: A total of 40 mandibular implants were symmetrically placed in a group of 20 systemically healthy patients enrolled in the study. In each patient, one implant wetted with liquid infiltrated from fibrin matrix was placed in the test side (Group L), and the other implant was placed in the control side without the application of any material (Group C). Peri-implant crevicular fluid was collected at 2, 4, and 12 weeks later. Marginal bone loss was measured with panoramic radiographs taken immediately after implant placement and at 12 weeks. Resonance frequency analysis (RFA) of the implants was performed intraoperatively and at 4 and 12 weeks. Results: Stability values of the implants in the CGF liquid–treated sites were higher than those of the control group at week 12 (P = .005). There was no statistically significant difference between the two groups in terms of marginal bone loss (MBL). Group L showed increased levels of tumor necrosis factor alpha (TNF-α) and receptor activator of nuclear factor kappa-B ligand (RANKL) at 2 and 4 weeks. Also, levels of osteoprotegerin (OPG) were higher in Group L at week 4 compared to Group C (P = .033). Conclusions: The increased TNF-α, RANKL, and OPG levels in this study demonstrate that CGF liquid can be used to accelerate peri-implant bone remodeling in the early phase of osseointegration. [ABSTRACT FROM AUTHOR]

This study discusses the importance of the DSpace open-source software that supports numerous digital libraries and repositories around the world. With the release of DSpace version 7, a natural question that arises is whether the new version offers enough new functionalities to motivate system administrators to upgrade. This paper briefly describes the most important changes, including new features and bug fixes, included in DSpace 7.4 and prior minor versions. The next parts of this paper explore our estimate that there are several thousand DSpace-based systems globally that will likely have to be upgraded in the near future. The main reason for this need is that older versions of DSpace (including 5.x) have reached the end of their developer support period or are reaching it in mid-2023. Based on our own upgrade experience, we propose suggestions and recommendations on migrating from the previous DSpace 6.3-based environment to the new one in a case study that concludes this article. [ABSTRACT FROM AUTHOR]

Universities and scientific educational institutions today need targeted information services to ensure that their user communities have the information they need. This study aims to design, develop, implement, and evaluate a mobile application for academic library services at Tarbiat Modares University (Tehran, Iran). A four-stage process was utilized to accomplish this aim. In the first phase, relevant literature was reviewed to obtain appropriate data requirements for the app. A questionnaire was designed and administered to survey expert librarians on the most suitable data requirements. The second phase involved the design of the user interface and user experience with the assistance of experts, followed by the evaluation of the experience. The third phase involved the development of the app in the Android Studio environment using the Java programming language, based on the requirements identified in the first and second phases. The app was then made available to the user community. Finally, the app was evaluated in the fourth phase using a questionnaire tool. The researchers found this approach to application development to be both economical and effective in the context of a developing country. [ABSTRACT FROM AUTHOR]

Design patterns are an effective technique for software development. However, lacking suitable documents often reduces traceability, and advantages remain unclear in source lines of code (SLOC). Design patterns are proven, reliable solutions to several frequent problems in object‐oriented software design. Detecting design patterns in a software system contributes to maintainability and reengineering and facilitates understanding codes. Furthermore, different design pattern implementations impede the detection of code pattern instances. A design pattern is a set of roles played by the code classes. Roles are the main details and determinants in patterns. A pattern can be detected in its defined role as it is an instance of a role. It is also of great importance in system documentation. The proposed method exploits blockchain‐based approaches for pattern mining and isolating design patterns in order to identify intercode relationships. The results demonstrate that the blockchain is effective and efficient in extracting the connections of features from source codes and adapting to design patterns with precision 97.2%. [ABSTRACT FROM AUTHOR]

Modern manufacturing methods demand highly flexible and reusable assembly systems. Such flexibility and reusability can be attained using systems that are modular. These modular systems have the ability to react faster to market forces and are adaptable beyond the limits of the so-called flexibility corridor. Also, placing the constraints of flexibility and reusability on software paves the way for design and usage of generic systems that have a relatively low initial cost. However, these advantages are often overshadowed by the complexity of these software systems. Especially, one faces many difficulties in software modularizing the assembly system so that each module can be integrated seamlessly into the entire system. Defining an interface in the development phase is practically impossible given that systems evolve a lot before reaching production phase. [ABSTRACT FROM AUTHOR]

The existing Pascal curve gears are limited by inflexible pitch curves and constrained transmission ratio changes, which hinders the application in a range of mechanical systems that require more adaptable gear solutions. To address this, a design procedure for higher-order multisegment denatured Pascal curve gear is proposed. A unified mathematical expression for the Pascal curve gear family is derived, enabling the construction of non-circular gears with free-form pitch curves by adjusting key parameters and offering more flexible pitch curve and a wider range of transmission ratios. Compared with elliptical gears and eccentric circular gears, its transmission ratio range can be expanded by up to 35%. Then the transmission characteristics of these gears are analyzed in detail. To validate the design, the visual analysis and design software of the gear is compiled based on Visual Basic, and is verified with the example. The novelty Pascal curve gears is applied to drive the differential velocity vane pump. The displacement, instantaneous flow rate, and pulsation rate of the differential velocity vane pump are calculated. The comparison with the differential pumps driven by eccentric non-circular gears and Fourier non-circular gears shows that when the pitch curves are not concave, the displacement driven by Pascal curve circular gears is the highest (compared to differential pumps driven by eccentric non-circular gears, and Fourier non-circular gears, their flow rates increased by 50.6%, and 175.7%, respectively), and the instantaneous flow pulsation rate of single pump is the smallest.This study shows that the higher-order multisegment denatured Pascal curve gear provides a viable solution for systems requiring flexible transmission mechanisms and improved operational performance. [ABSTRACT FROM AUTHOR]

Background: While there is a list of monosyllabic words available for use in speaking tests in our country, the list of sentences is limited. The aim of this study is to evaluate the effectiveness of the mobile application we developed by creating a list of 4-word sentences that are frequently encountered in daily life, well-known, and spectrally balanced, to be used in speech tests in children aged 8–12 with normal hearing. A total of 50 participants, 25 girls (mean age 9.56 ± 1.56) and 25 boys (mean age 10.60 ± 1.55) with normal hearing, aged 8–12, were included in the study. Familiarity was evaluated by listening to a list of 200 sentences consisting of 4-word sentences to 70 children in 7 geographical regions of Turkey, and the sentences that 80% of the children did not understand were excluded. A list of 60 balanced sentences was determined by performing spectral and coherence analysis of the sentences. The recording of each sentence at 80 dB, 60 dB, and 40 dB intensity levels, respectively, increased in 5 dB steps between the − 10/ + 10 signal-to-noise ratio value and was combined separately with 3 different environmental noises (classroom, shopping mall, amusement park) and uploaded to the developed mobile application. Results: For all participants, speech comprehension scores at 80 dB, 60 dB, and 40 dB sound intensity were lowest in the amusement park environment. Speech comprehension scores are lowest in noise levels of 40 dB in amusement park and shopping mall environments. Speech comprehension scores are lowest in noise levels of 60 dB in the classroom environment. There is a statistically significant difference between ambient noises (p < 0.05). When male and female participants are compared, it is seen that male participants' comprehension scores in noise in the shopping mall environment are higher than female participants. There is a statistically significant difference between genders (p < 0.05). Conclusion: When the speech in noise tests developed in the literature are examined, even though the word lists are equalized with the phonemic equalization method, they do not reflect the reality of daily life. The Turkish Mobile Speech Discrimination in Real Noise 4-Word Sentence Test that we have developed will contribute to the literature. It is recommended that future research compare the results by adding different ambient noises. [ABSTRACT FROM AUTHOR]

Manual decisions regarding the timing of surveillance endoscopy for premalignant Barrett's oesophagus (BO) is error-prone. This leads to inefficient resource usage and safety risks. To automate decision-making, we fine-tuned Bidirectional Encoder Representations from Transformers (BERT) models to categorize BO length (EndoBERT) and worst histopathological grade (PathBERT) on 4,831 endoscopy and 4,581 pathology reports from Guy's and St Thomas' Hospital (GSTT). The accuracies for EndoBERT test sets from GSTT, King's College Hospital (KCH), and Sandwell and West Birmingham Hospitals (SWB) were 0.95, 0.86, and 0.99, respectively. Average accuracies for PathBERT were 0.93, 0.91, and 0.92, respectively. A retrospective analysis of 1640 GSTT reports revealed a 27% discrepancy between endoscopists' decisions and model recommendations. This study underscores the development and deployment of NLP-based software in BO surveillance, demonstrating high performance at multiple sites. The analysis emphasizes the potential efficiency of automation in enhancing precision and guideline adherence in clinical decision-making. [ABSTRACT FROM AUTHOR]

Medical errors can occur in many areas of healthcare, including hospitals, clinics, and surgery centers. They can result in negative consequences for patients and their loved ones. Over the years, different methods have been used to reduce medical errors. Zero Trust is an information security model that denies access to applications and data by default. Other industries have successfully used Zero Trust Model (ZTM), and it has been shown to improve outcomes. This editorial analyzes how the ZTM can be introduced to prevent medical errors in healthcare settings. ZTM application in healthcare could potentially revolutionize patient safety by tightly controlling and monitoring access to sensitive patient data and critical systems. By enhancing security measures, the ZTM could address the paramount concerns of patient data privacy and safety in healthcare. The zero-trust approach offers a potential solution by identifying consistent causes of errors and providing viable solutions to prevent their recurrence. In the era of worsening ransomware attacks on healthcare systems, the ZTM could also have enormous implications in other cybersecurity aspects. With this manuscript, the authors advocate for the broader application of ZTM across other facets of healthcare cybersecurity. [ABSTRACT FROM AUTHOR]

Background: Medical devices for fluorescence-guided surgery (FGS) are becoming available at a fast pace. The main challenge for surgeons lies in the lack of in-depth knowledge of optical imaging, different technical specifications and poor standardisation, and the selection of the best device based on clinical application. Methods: This manuscript aims to provide an up-to-date description of the commercially available fluorescence imaging platforms by comparing their mode of use, required settings, image types, compatible fluorophores, regulatory approval, and cost. We obtained this information by performing a broad literature search on PubMed and by contacting medical companies directly. The data for this review were collected up to November 2023. Results: Thirty-two devices made by 19 medical companies were identified. Ten systems are surgical microscopes, 5 can be used for both open and minimally invasive surgery (MIS), 6 can only be used for open surgery, and 10 only for MIS. One is a fluorescence system available for the Da Vinci robot. Nineteen devices can provide an overlay between fluorescence and white light image. All devices are compatible with Indocyanine Green, the most common fluorescence dye used intraoperatively. There is significant variability in the hardware and software of each device, which resulted in different sensitivity, fluorescence intensity, and image quality. All devices are CE-mark regulated, and 30 were FDA-approved. Conclusion: There is a prolific market of devices for FGS and healthcare professionals should have basic knowledge of their technical specifications to use it at best for each clinical indication. Standardisation across devices must be a priority in the field of FGS, and it will enhance external validity for future clinical trials in the field. [ABSTRACT FROM AUTHOR]

The National Fatality Review Case Reporting System (NFR-CRS) is a web-based data collection tool for child death review and fetal and infant mortality review teams. The NFR-CRS captures information from the multidisciplinary review, including the social and community risk factors that may have impacted the death. The NFR-CRS is a nimble data system that has evolved throughout the past 20 years. The most recent enhancements include a life stressors section focused on collecting contextual information such as racism and poverty, revised cause of death sections to better align data collected with risk factors identified in the research, and enhanced data visualizations. The NFR-CRS has improved data quality since the launch of a data quality initiative in 2015. As a result of the data quality initiative, the completeness, consistency, accuracy, and timeliness of the NFR-CRS data have improved. Limitations for the NFR-CRS include the fact that data entered are not population-based, data fields have evolved over time, and there are high percentages of missing and unknown data. Despite its limitations, the NFR-CRS remains a valuable research tool, especially when paired with other data sources. [ABSTRACT FROM AUTHOR]

The primary aim of this systematic review is to investigate the inclusion of autistic individuals in the design process of immersive technologies. This study follows the preferred reporting items for systematic reviews and meta-analyses standards for systematic literature reviews. To ensure the research questions and subsequent stages of the review incorporate pertinent parameters, the problem, interest, context framework has also been employed. Findings highlight that, while early proponents of immersive technology emphasized the importance of user involvement in design of new technology, immaturity of the technology often limited the implementation of direct user input to the design process. Nonetheless, analysis of the literature published between 2002–2022 identified 20 studies in which substantial influence of autistic individuals and stakeholders was found in the design process of immersive technologies. The roles of autistic individuals varied from active co-designers and co-creators to essential contributors in refining prototypes and providing critical feedback, ensuring the final products align with their needs and preferences. Results underscore the need to align research and design of immersive technologies more closely with the priorities and preferences of autistic individuals. Further is needed regarding actively involving autistic individuals in the design and implementation of immersive technology applications. On this basis, we maintain that more inclusive and effective deployment of immersive technologies is needed in order to ensure that resultant technologies are fit for purpose and address the actual needs of the autistic community. [ABSTRACT FROM AUTHOR]

Background: Digital therapeutics (DTx) have attracted attention as the substitutes or add-ons to conventional pharmacotherapy and the number of DTx products authorized with the regulatory reviews of the clinical evidence is increasing. Insomnia is one of the major targets of the DTx due to the benefit from cognitive behavioral interventions and several products have been launched in the market with regulatory reviews. However, common features of the products and the clinical evidence required by each regulatory agency have not been investigated. Methods: In this study, we identified the DTx products with the primary indication of insomnia authorized with regulatory reviews of clinical evidence by literature and website searches, and investigated the common features of the products and of the study designs for the pivotal clinical trials. Results: The total of 6 DTx products were identified. The components of cognitive behavioral therapy for insomnia (CBT-I) were identified as common features of the products. All the pivotal clinical trials were randomized, parallel-group, blind studies against insomnia patients. No products have been authorized in multiple countries regardless of the similarity of the features of the products and of the study designs for the pivotal clinical trials. Conclusions: Our study revealed that the components of CBT-I and gold standard design in pivotal clinical trials were adopted in all the DTx products for insomnia authorized with reviews of clinical evidence. At the same time, our findings suggest the needs of internationally harmonized regulatory review and authorization system to facilitate the early patient access to the promising DTx products. [ABSTRACT FROM AUTHOR]

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As the commercialisation of Intelligent Connected Vehicles (ICVs) accelerates, Vehicle-to-Everything (V2X)-based general testing and assessment systems have emerged at the forefront of the research. Current field testing schemes mostly follow the norms of traditional vehicle tests. In contrast, Original Equipment Manufacturers (OEMs) have increasingly focused on the potential influence of V2X communication performance on the application response characteristics. Our previous work resulted in a C-V2X (Cellular-V2X) large-scale testing system (LSTS) for communication performance testing. However, when addressing the need to combine application and communication, the system software faces confronts heightened technical challenges. This paper proposes a layered software architecture for the automated C-V2X LSTS, which is tailored to combined scenarios. This architecture integrates scenario encapsulation technology with a large-scale node array deployment strategy, enabling communication and application testing under diversified scenarios. The experimental results demonstrate the scalability of the system, and a case study of Forward Collision Warning (FCW) validates the effectiveness and reliability of the system. [ABSTRACT FROM AUTHOR]

Active mobility and light vehicles, such as e-bikes, are gaining increasing attention as sustainable transportation alternatives to internal combustion solutions. In this context, collecting comprehensive data on environmental conditions, vehicle performance, and user interaction is crucial for improving system efficiency and user experience. This paper presents a data acquisition system designed to collect data from multiple sensor platforms. The architecture is optimized to maintain low power consumption and operate within limited computational resources, making it suitable for real-time data acquisition on light vehicles. To achieve this, a data acquisition module was developed using a single-board computer integrated with a custom shield, which also captures data related to the assistance of an e-bike motor through a wireless interface. The paper provides an in-depth discussion of the architecture and software development, along with a detailed overview of the sensors used. A demonstrator was created to verify the system architecture idea and prove the potentialities of the system overall. The demonstrator has been qualified by professional and semi-professional riders in the framework of the Giro-E, a cyclist event which took place in May 2024, on the same roads of the Giro d'Italia. Finally, some preliminary analyses on the data acquired are provided to show the performance of the system, particularly in reconstructing the user behavior, the environmental parameters, and the type of road. [ABSTRACT FROM AUTHOR]

The aim of this study was to manufacture alternative Siemens DC measurement system equipment to solve the problems of increased failure rates of foreign DC measurement equipment and the stopped production of key parts. In this paper, the overall structure and common faults of the Siemens DC measurement system are introduced, the difference between TDM signal frame structure and FT3 frame structure is detailed, and the related functional structure, chip type, and function of the Siemens distal module and merging unit (including laser function) are studied. The remote module, merging unit (including laser function), and related hardware design and software design to replace the Siemens DC measurement system were developed, and the test environment and control protection, fault recording wave for communication, and other functional tests were built. The test results show that the domestic remote module, merging unit (laser function), and other technologies communicate normally with the existing Siemens and the domestic mainstream manufacturers, and the accuracy meets the requirements of the 0.2 level. [ABSTRACT FROM AUTHOR]

The digital twins process of equipment operation and maintenance involves massive data and complex business logic. Through data awareness of equipment and workshop environment. According to the characteristics of equipment operation and maintenance, the data characteristics and requirements are analysed, an equipment operation and maintenance management system based on the micro-service framework is proposed, a set of equipment operation and maintenance digital twins are designed and a general reference software architecture is designed and by checking the underlying in-heap pattern reduces high-impact portions of memory to provide accurate follow-up complex digital twins modelling provides the architectural foundation. [ABSTRACT FROM AUTHOR]

Background: Childhood and adolescent obesity are persistent public health issues in the United States. Childhood obesity Electronic Health Record (EHR) tools strengthen provider-patient relationships and improve outcomes, but there are currently limited EHR tools that are linked to adolescent mHealth apps. This study is part of a larger study entitled, CommitFit, which features both an adolescent-targeted mobile health application (mHealth app) and an ambulatory EHR tool. The CommitFit mHealth app was designed to be paired with the CommitFit EHR tool for integration into clinical spaces for shared decision-making with patients and clinicians. Objectives: The objective of this sub-study was to identify the functional and design needs and preferences of healthcare clinicians and professionals for the development of the CommitFit EHR tool, specifically as it relates to childhood and adolescent obesity management. Methods: We utilized a user-centered design process with a mixed-method approach. Focus groups were used to assess current in-clinic practices, deficits, and general beliefs and preferences regarding the management of childhood and adolescent obesity. A pre- and post-focus group survey helped assess the perception of the design and functionality of the CommitFit EHR tool and other obesity clinic needs. Iterative design development of the CommitFit EHR tool occurred throughout the process. Results: A total of 12 healthcare providers participated throughout the three focus group sessions. Two themes emerged regarding EHR design: (1) Functional Needs, including Enhancing Clinical Practices and Workflow, and (2) Visualization, including Colors and Graphs. Responses from the surveys (n = 52) further reflect the need for Functionality and User-Interface Design by clinicians. Clinicians want the CommitFit EHR tool to enhance in-clinic adolescent lifestyle counseling, be easy to use, and presentable to adolescent patients and their caregivers. Additionally, we found that clinicians preferred colors and graphs that improved readability and usability. During each step of feedback from focus group sessions and the survey, the design of the CommitFit EHR tool was updated and co-developed by clinicians in an iterative user-centered design process. Conclusion: More research is needed to explore clinician actual user analytics for the CommitFit EHR tool to evaluate real-time workflow, design, and function needs. The effectiveness of the CommitFit mHealth and EHR tool as a weight management intervention needs to be evaluated in the future. [ABSTRACT FROM AUTHOR]

The article presents an algorithm and optimization software designed for the optimal configuration of a tuned inductive choke. The optimization software consists of two main parts: an optimization procedure and a mathematical model for the designed electromagnetic devices. A lumped-parameters model of a tuned inductive choke was developed, with the device's structure described by three design variables. As an optimality criterion, the multi-objective compromise function was adopted. The objective function merges the total inductances of the electromagnetic device under different operation states. The optimized structure was analyzed using the finite element method. The developed lumped-parameters model is characterized by good accuracy and can be successfully applied to optimize tuned inductive chokes for various rated parameters. The optimization procedure was adapted to the tuned inductive choke model by appropriately selecting the characteristic coefficient of the salp swarm algorithm. The reliability of the optimization software was verified through experimental measurements. [ABSTRACT FROM AUTHOR]

Developing biodiversity‐inclusive spatial plans at a national level is the focus of Target 1 of the Kunming–Montreal Global Biodiversity Framework (KMGBF). There are 2 general approaches to identifying areas of value for biodiversity plans: criteria‐based, such as the Key Biodiversity Areas (KBA) process, and systematic conservation planning (SCP) approaches, which apply complementarity to efficiently achieve specific quantitative targets. We examined the benefits of both approaches and considered how the KBA approach can best complement SCP. We reviewed 200 papers articles that applied SCP to real‐world data with the Marxan conservation design software. Our review showed that targets for biodiversity elements are poorly selected in many SCP publications, with more than 75% of the studies applying uniform percentage target amounts to planning elements. Uniform targets favor more widespread species and ecosystems that are likely to be more common and less important for conservation. The strengths and complementarities of KBA and SCP approaches were reviewed and we identified the elements from both approaches that should be considered for spatial planning to achieve Target 1 in the KMGBF. In particular, the global approach of KBAs (i.e., identifying sites of global significance for species or ecosystems) better complements SCP, which often has a national or subnational focus. The KMGBF will fail if conservation of globally significant sites is not targeted and these sites are not incorporated in national spatial planning. [ABSTRACT FROM AUTHOR]

This paper addresses the development of a vision system for the UR5 cobot and the corresponding operating algorithm of the robotic quality control station. The hardware–software architecture of the developed robotic station consisting of a UR5 cobot equipped with a web camera and a stationary industrial camera with a lighting system is presented. Image processing and analysis algorithms are described, the method of control and communication between the station components is discussed, and operating scenarios are presented as a single robotic station and as a part of the robotic line. Based on the results which were obtained, the level of measurement noise, accuracy, and repeatability of the developed vision system were estimated. A novel complete vision system architecture with hardware–software modules for the UR5 cobot quality control station is shown and discussed. The software part based on Python 3.12 language, OpenCV 4.7.0.68 libraries, and the PolyScope 1.8 environment incorporates modules for system calibration, image acquisition, preprocessing and image analysis (for objects' location and geometric measurements) and for robotic cell communication and control. The hardware part of the UR5 cobot vision system is based on a PC with two independent and distinct cameras: one permanently affixed and the other mounted to the cobot's flange. This innovative setup, combined with software architecture, broadens the scope of existing robotic quality control applications. [ABSTRACT FROM AUTHOR]

Computing and networking are increasingly implemented in software. We design and build a software build assurance scheme detecting if there have been injections or modifications in the various steps in the software supply chain, including the source code, compiling, and distribution. Building on the reproducible build and software bill of materials (SBOM), our work is distinguished from previous research in assuring multiple software artifacts across the software supply chain. Reproducible build, in particular, enables our scheme, as our scheme requires the software materials/artifacts to be consistent across machines with the same operating system/specifications. Furthermore, we use blockchain to deliver the proof reference, which enables our scheme to be distributed so that the assurance beneficiary and verifier are the same, i.e., the node downloading the software verifies its own materials, artifacts, and outputs. Blockchain also significantly improves the assurance efficiency. We first describe and explain our scheme using abstraction and then implement our scheme to assure Ethereum as the target software to provide concrete proof-of-concept implementation, validation, and experimental analyses. Our scheme enables more significant performance gains than relying on a centralized server thanks to the use of blockchain (e.g., two to three orders of magnitude quicker in verification) and adds small overheads (e.g., generating and verifying proof have an overhead of approximately one second, which is two orders of magnitude smaller than the software download or build processes). [ABSTRACT FROM AUTHOR]

Although the rapid growth in the efficiency of medical imaging is undeniable, the expansion of health information technology (HIT) into medical imaging has not been as seamless or well-integrated as it was thought to be. The socio-technical complexities in medical imaging associated with HIT systems can cause risks to patient harm and inconvenience, both individually and collectively, often in new, unforeseen, and unexpected ways. This study reflects a retrospectively collected single incident report related to medical imaging HIT systems, aiming to develop a set of preventive and corrective strategies. A combination of multiple deductive approaches (existing frameworks), i.e., HIT Classification Systems and 18-step medical imaging process workflow and inductive method (content analysis), were used to analyze the incident. The incident was identified as a "system configuration"-related software issue, contributed by system upgrade-changes in hardware and software. The incident was determined to occur during steps 10-12, i.e., "study selection and retrieval," "calling up of patient's referral," and "image review and interpretation," causing severe disruptions in the clinical workflow for several weeks. We propose 16 preventive and corrective strategies grouped under four key areas based on the sociotechnical aspects associated with HIT systems. The key areas are (i) preparation and integration for upgraded systems, (ii) training for medical imaging specialists, (iii) contingency planning/immediate backup system, and (iv) system design and configuration. These strategies are expected to help healthcare staff, analysts, reporters, researchers, and relevant stakeholders improve care delivery and patient safety in medical imaging in the context of any system upgrades. [ABSTRACT FROM AUTHOR]

Timber connections were prepared using glulam from tropical plantation species, focusing on key properties for dowel-type joints with half threaded bolts without nuts: Bolt bearing strength and bolt withdrawal capacity. Tests were performed according to ASTM standards. Three half-threaded bolt diameters (12 mm, 16 mm, and 20 mm) were tested in two loading directions, parallel and perpendicular to the grain, with 12 replicates for each configuration. Response Surface Methodology (RSM) using Design Expert Software was applied to optimize bolt diameter for both loading directions. Results showed that bolt bearing strength was higher in perpendicular loading, with the 12 mm bolt achieving 16.6 N/mm², compared to 6.01 N/mm² in parallel loading. Withdrawal capacities varied, with the 16 mm bolt showing the highest capacity in perpendicular loading at 54.2 kN. The study demonstrates that the 16 mm bolt exhibited the optimal diameter-to-embedment length ratio compared to 12 mm and 20 mm bolts, resulting in the highest withdrawal capacity. Consequently, the 16 mm bolt represented the best balance for achieving maximum withdrawal capacity. The optimization suggests using a 16 mm bolt for parallel loading to the grain and a 14 mm bolt for perpendicular loading. [ABSTRACT FROM AUTHOR]

Low back pain (LBP) mainly affects the working-age population, and few specific causes can be identified, making diagnosis difficult and rendering them nonspecific. Artificial intelligence (AI) can be a great ally for prognosis, diagnosis, and treatment plans in healthcare. To describe the development of software aimed at providing prognoses, diagnoses, and treatment suggestions for LBP with AI support, as well as to report the functionality and initial limitations through a pilot study. Fifty assessment records from a database of patients at the Physiotherapy School Clinic of the University of Gurupi-UnirG, who were treated for LBP, were analyzed. Using data mining, including information described by patients and post-processing of discovered anamnesis patterns (rules), it was possible to develop software for evaluation and intervention in this patient group. Subsequently, a pilot study was initiated with 34 patients residing in the city of Gurupi-TO to test the application's functionality. The software enabled more accurate treatments, diagnoses, and prognoses during the pilot study, directing the patient towards physiotherapeutic intervention based on the presented condition. [ABSTRACT FROM AUTHOR]

Aim and Objectives: The present work aimed to prepare a FDBF with a fixed dose of Doxylamine succinate. This film provides fast relief from sudden allergic reactions. Materials and Methods: FDBF were produced employing a technique known as solvent casting. Eight different formulations were tested in an experiment where we varied three factors: X1-PVA concentration, X2-PVP concentration and X3-PG concentration. The two responses were: Y1-disintegration time (sec) and Y2-cumulative drug release (%). Each formulation was subjected to a range of evaluations, including weight variation, folding endurance, thickness, drug content and in vitro studies. Statistical analysis of the responses was performed using Design Expert software version 13.0 trial edition. Results: All the formulations of the films were transparent, non-sticky and could be easily peeled off. They satisfactory exhibited all the evaluation parameters. The concentration of the PVA, PVP and PG was observed to significantly influence on both the disintegration time and drug release. The optimized formulation OF1, dissolved in 68 sec and drug released at 71.5%. Ex vivo testing on goat buccal mucosa showed a drug release rate of 73.3%. The results of the short-term stability test of optimized formulation OF1 according to the International Council for Harmonization guidelines confirmed that the product stays stable for one month at temperature of 30°C±2°C and relative humidity of 65%±5%. Conclusion: Based on these results, it can be concluded that FDBF present a promising drug delivery approach for DOXS bypassing first-pass metabolism. This facilitates rapid drug permeation, improving absorption and bioavailability. [ABSTRACT FROM AUTHOR]

A multi-tenant database (MTDB) is the backbone for any cloud app that employs a software as a service (SaaS) delivery paradigm. Every cloud-based SaaS delivery strategy relies heavily on the architecture of multitenant databases. The hardware and performance costs for quicker query execution and space savings provided by the architecture of MTDBs are implementation costs. All tenants’ data may be kept in a single table with a common schema and database format, making it the most cost-effective MTDB configuration. The arrangement becomes congested if tenants have varying storage needs. In this research, we present a space-saving architecture that improves transactional query execution while avoiding the waste of space due to different attribute needs. Extensible markup language (XML) and JavaScript object notation (JSON) compare the proposed system against the state of the art. The suggested multitenant database architecture reduces unnecessary space and improves query performance. The experimental findings show that the suggested system outperforms the state-ofthe-art extension table method. [ABSTRACT FROM AUTHOR]

This study addresses the prevalent gap between structured models and informal architectural methodologies in software engineering. Recognizing the potential of informal architecture artifacts in analytical processes, we introduce a methodology that efficiently transforms these informal components into structured models. This method facilitates understanding and utilizing informal diagrams and enhances analytical capabilities through graph analysis techniques. By leveraging user-friendly tools such as Draw.io, the methodology democratizes the modeling process, making sophisticated architectural analyses accessible to a broader spectrum of professionals without requiring deep expertise in formal methods. The innovative aspects of this methodology lie in its ability to streamline the transformation process, significantly improving both the efficiency and effectiveness of model creation and analysis. These enhancements are demonstrated through a practical application involving a sample architecture diagram, where the resulting model is thoroughly analyzed using advanced graph analysis tools. This approach bridges the theoretical and practical divides in software architecture. [ABSTRACT FROM AUTHOR]

Google has become an "increasing invisible information infrastructure" that "organizes the world's information," simultaneously shaping and organizing users through "ubiquitous googling" with keywords as a daily habit of new media. However, there is limited knowledge about how Google ranks information, intervenes, and the veracity of its search results. How can they be captured, analyzed, and understood in regard to search ecosystems? This article addresses these questions through a digital ethnography with a group of students as an "experiment in living" that investigates whether individuals receive so‐called "personalized" search results with the keyword "mink." The method of screenshotting makes permanent the top results, which can then be compared, offering a "partial perspective" as "situated knowledge." Building on previous empirical search studies using screenshotting, an analysis demonstrates that similar search results are obtained due to Google's recent tendency for "social relevance" and not individual "user relevance." Students were sorted and grouped into categories of others "like them," in this case dependent on a static university Internet Protocol address. This educational intervention contributes to screenshotting literature and feminist STS by introducing a method that empowers citizen agency, thereby contributing to developing strategies for generating more democratic, inclusive, and healthier information ecosystems. [ABSTRACT FROM AUTHOR]

Currently, people spend a lot of time using their mobile devices. With such ubiquity of mobile devices in our daily life, battery capacity and quality are of utmost importance. Running software applications (called apps) are one of the major factors influencing the power consumption in mobile devices. In order to meet user needs, mobile apps are becoming inherently complex and resource greedy. Therefore, fulfilling these requirements at the pace imposed by the market may degrade software construction quality and insert so-called energy code smells: bad patterns in the source code of an app that indicate a deeper problem and adversely affect power consumption. This work proposes a developer-oriented framework for identifying and fixing patterns via analyzing different application code flavors in a user-driven test scenario. A special app was designed in order to validate the Android implementation of the proposed methodology. The study results have shown significant improvement regarding energy efficiency after correcting one or more energy code smells, with a 4 to 30 percent decrease in battery drain. Additionally, the power consumption signature term is defined in the context of mobile applications. This paper presents a developer-oriented framework for assessing power consumption in mobile applications. Our key contributions include identifying significant energy code smells, demonstrating their impact on power consumption, and providing a toolset for developers to improve energy efficiency. [ABSTRACT FROM AUTHOR]

Background and Objective: Understanding and recognizing basketball offensive set plays, which involve intricate interactions between players, have always been regarded as challenging tasks for untrained humans, not to mention machines. In this study, our objective is to propose an artificial intelligence model that can automatically recognize offensive plays using a novel self-supervised learning approach. Methods: The dataset was collected by SportVU from 632 games during the 2015–2016 season of the National Basketball Association (NBA), with a total of 90,524 possessions. A multi-agent motion prediction pretraining model was built on the basis of axial-attention transformer and trained with different masking strategies: motion prediction (MP), motion reconstruction (MR), and MP + MR joint strategy. A downstream play-level classification task and similarity search were used to evaluate the models' performance. Results: The results showed that the MP + MR joint masking strategy maximized the ability of the model compared with individual masking strategies. For the classification task, the joint strategy achieved a top-1 accuracy of 81.5% and top-3 accuracy of 97.5%. In the similarity search evaluation, the joint strategy attained a top-5 accuracy of 76% and top-10 accuracy of 59%. Additionally, with the same MP + MR joint masking strategy, our HoopTransformer model outperformed the two baseline models in the classification task and similarity search. Conclusion: This study presents a self-supervised learning model and demonstrates the effectiveness and potential of the model in accurately comprehending and capturing player movements and complex interactions during offensive plays. [ABSTRACT FROM AUTHOR]

In the present study, the aim was to predict and validate putative candidate genes underlying drought‐tolerant quantitative trait loci (QTLs) in rice crop using in silico approaches and real‐time polymerase chain reaction (RT‐PCR). The genes underlying major drought‐tolerant QTLs which have been reported by data mining, sequence variation, gene ontology analysis, quantitative traits gene finder and gene expression analysis were subjected to RiceVarmap software to design primers, and only a few variants gave the SNP/InDel primers; thus, finally, 15 primers were ultimately selected, which were used in identification of differentially expressed genes (DEGs) among contrasting rice genotypes IR 64 and N 22 for drought tolerance trait using quantitative RT‐PCR studies by providing drought stress treatment during panicle initiation stage. In this investigation, we predicted 11 genes as candidate genes underlying drought‐tolerant QTLs. Out of these, only four QTLs were found responsible for the major effect in drought tolerance regions such as QTL‐Qsn‐4b, QTL‐rn7a, QTL‐Qtgw‐2a and QTL‐phc4.1 and 11 prioritized candidates were identified that expressed in leaf tissues. Only four primers belong to two QTLs, primer vg0712623096 from QTL‐rn7a (LOC_Os07g22450) located on chromosome‐7 encoding NAC domain‐containing protein and the primers vg0431750843(LOC_Os04g53310) encoding soluble starch synthase 3‐ chloroplast precursor, vg0432626757 (LOC_Os04g54850) encoding pectin acetylesterase domain‐containing protein and vg0433031562 (LOC_Os04g55520) encoding AP2 domain‐containing protein, from QTL‐Qsn‐4b, located on chromosome‐4 found to have higher differential expression in N 22 in comparison with IR 64 during drought stress as per quantitative RT‐PCR 2–ΔΔCt values. Considering the overall study, these four primers/genes were identified as candidate genes underlying genomic regions governing drought tolerance. Therefore, these putative candidate genes could be focussed for further functional analysis to exploit in rice breeding. [ABSTRACT FROM AUTHOR]

This paper aims to measure the human hand tremor caused by handheld device using a low-g micro-accelerometer. A novel low-g area-changed differential capacitive micro-accelerometer is designed and analyzed using microproduct design software INTELLISUITE 8.6. Thermo-electro-mechanical analysis is conducted for applied acceleration within the low-g range spans between 0 and 10 g. Existing design performances such as displacement and sensitivity are compared with new proposed design. The sensitivity of micro-accelerometer is improved by using U-shaped spring. The designed micro-accelerometer is used to find vibration that exists while using handheld device. Experimentation is done to measure vibration under dissimilar surfaces. The workers are made to drill three different surface blocks namely paver block, solid cement block, and black stone, and vibrations produced are recorded. These accelerations are intended to calculate exposure action value (EAV) and exposure limit value (ELV) for 8 hours of a working day so that worker can halt the work as soon as ELV is accomplished. [ABSTRACT FROM AUTHOR]

Purpose: This systematic review aims to update the results related to user interfaces and digital technologies that support the social interactions of older adults. Multiple innovative technological forms in existing research were evaluated to obtain evidence that digital technologies improve older adults' quality of life and social well-being. Materials and methods: A search for relevant studies published in the last five years was conducted using the databases of Google Scholar, IEEE Xplore, PubMed, Scopus, Springer Link and Web of Science. Results: Of the 4959 records identified, a total of 29 studies met the inclusion criteria. The findings were reviewed in three areas: social interaction of older adults supported by user interface, the digital technologies used in the user interface, and the effects of user interfaces on the social interactions of older adults. Conclusions: Future research should develop digital technologies and service models to enhance the quality of life of older adults. Long-term solutions to promote social interaction in older adults require more user interface support. Community connection-based user interfaces can support existing social relationships and develop new social circles for older adults. Implication for rehabilitation: An update on recent advances in research on user interfaces that support social interaction with older adults. Community connection-based user interfaces can support existing social relationships and develop new social circles for older adults. The application of digital technology needs to consider the establishment of long-term and deep social relationships for older adults. Future research should develop and explore digital technologies with a broader social perspective. [ABSTRACT FROM AUTHOR]

Purpose An investigational drug services (IDS) pharmacy plays a vital role in supporting clinical trial research by ensuring the safe and efficient management of investigational products. This article describes the implementation of an electronic project management software to improve an IDS pharmacy's study protocol work. The article describes the implementation of the software and how this approach addressed specific challenges, including project oversight, process standardization, documentation, reporting, accountability, and intrateam communication. Summary We describe an electronic project management software system used to streamline and standardize the work associated with study protocols. This software provides an organized and customizable workspace to manage tasks associated with each study protocol. The software automates task creation, tracks progress, and ensures comprehensive record keeping. Additionally, the software fosters effective communication within the team and offers real-time reporting to assess team productivity and progress. We have observed improved consistency, enhanced revenue, including approximately $18,000 in additional fee capture, and increased collaboration among pharmacy team members. Conclusion Implementing an electronic project management software has proven highly beneficial in the IDS pharmacy. The software has significantly improved workflow efficiency by addressing challenges in study protocol management. While initial setup and training required time and resources, the long-term benefits in project oversight, collaboration, and revenue capture justify the investment. An electronic project management software is a valuable tool in managing the complexity of study protocol activities and supports the pharmacy's crucial role in advancing clinical research. [ABSTRACT FROM AUTHOR]

Transparency in teamwork and across team members' status is one of the main challenges in remote work, and using online collaborative whiteboards (OCW) is a potential solution for more transparent teamwork. We explore the experience of transparency of three design teams who used an OCW called Miro in remote work during the COVID-19 pandemic. Our aim was to gain in-depth understanding on what constitutes transparency in this teamwork context. We conducted a qualitative interview study with 11 participants who are user experience and service designers, and who actively use Miro in their daily work. We adopted sociomateriality as our research lens and thematically analysed the data, finding that transparency at work is a dynamic experience ranging between positive and negative. Rather than being merely users' or organisations' choices or the result of the tool affordances, the experience of transparency at work is an outcome of sociomaterial entanglements between the user, tool, and organisation. Furthermore, the occupational and organisational factors not only affect the experience of transparency, but they also actively constitute it. [ABSTRACT FROM AUTHOR]

There is increasing interest in incorporating game design elements in workplace learning, known as instructional gamification. Despite initial positive indications, there is still a need for a deeper understanding of how organisational stakeholders play a role in implementing instructional gamification. This study employed an explanatory sequential mixed-methods approach to identify and understand stakeholders' instructional gamification design preferences and how these preferences might impact their endorsement of instructional gamification. A survey of 231 individuals at a software company was conducted to gather data on stakeholders' preferences for instructional gamification. This was followed by in-depth interviews with eight employees to further enhance the understanding of stakeholders' instructional gamification design preferences. The quantitative findings revealed four interrelated factors concerning the instructional gamification design preferences of the three stakeholder groups. However, the qualitative findings revealed that the stakeholder groups interpreted the items differently. By integrating the quantitative and qualitative findings, the study provides a comprehensive understanding of the factors that enable or hinder stakeholders' endorsement of instructional gamification in workplace learning. The study also presents four design propositions that facilitate stakeholder endorsement of gamified learning artifacts. The findings have both theoretical and practical implications for designing and implementing instructional gamification in workplace learning environments. [ABSTRACT FROM AUTHOR]