User Benefits Research Articles

Nature-based approaches: a mixed methods study of facilitators and barriers to implementation in CAMHS

BackgroundThere is growing evidence that spending time with or in nature can be beneficial for health and wellbeing. Emerging evidence suggests potential benefits for staff and service users in healthcare settings, yet little is known about how to put Nature-based approaches (NBAs) into practice within the Child and Adolescent Mental Health Services (CAMHS) setting. The CAMHS Goes Wild project in Southwest England aimed to explore the implementation of NBAs within CAMHS, examining staff attitudes and understanding to identify potential benefits and challenges through a mixed methods study.MethodsThe study involved three phases of data collection: an online survey with two waves, the first wave prior to the training, and the second four months post-training, and semi-structured interviews. Data collection was designed to fit around NatureWell training, attended by sixty-four CAMHS staff, which took place alongside the study. All participants were sampled from one NHS Trust and the study was open to both those who had attended the NatureWell training and those who had not. Data were synthesised to produce an understanding of staff attitudes towards NBAs and perceived barriers and facilitators to the implementation of this approach.ResultsNinety-seven staff responded to the wave 1 survey and 57 responded to the wave 2 survey. Fourteen staff members were interviewed. Data synthesis generated three themes: Tension between the culture of CAMHS and NBAs (Theme 1) and the need for buy-in and governance support (Theme 2). Theme three described the potential benefits of NBAs for staff and service users in CAMHS and is presented in a separate paper. The first two themes are presented in this paper.ConclusionsThe implementation of NBAs in mental health service settings for CYP presents both significant challenges and opportunities. Our findings suggest multiple barriers to implementation, often in the form of organisational or cultural factors, such as the risk averse nature of the service. Our work also elucidates several potential facilitators which may address or mitigate some of these barriers. These potential enablers, such as harnessing the role of firsthand experience, warrant further exploration in the implementation of NBAs in CAMHS.

A Tri-Level Transaction Method for Microgrid Clusters Considering Uncertainties and Dynamic Hydrogen Prices

The advancement of hydrogen technology and rising environmental concerns have shifted research toward renewable energy for green hydrogen production. This study introduces a novel tri-level transaction methodology for microgrid clusters, addressing uncertainties and price fluctuations in hydrogen. We establish a comprehensive microgrid topology with distributed power generation and hydrogen production facilities. A polygonal uncertainty set method quantifies wind and solar energy uncertainties, while an enhanced interval optimization technique refines the model. We integrate a sophisticated demand response model for hydrogen loading, capturing users’ behavior in response to price changes, thereby improving renewable energy utilization and supporting economically viable management practices. Additionally, we propose a tri-level game-theoretic framework for analyzing stakeholder interactions in microgrid clusters, incorporating supply–demand dynamics and a master–slave structure for microgrids and users. A distributed algorithm, “KKT & supply-demand ratio”, solves large-scale optimization problems by integrating Karush–Kuhn–Tucker conditions with a heuristic approach. Our simulations validate the methodology, demonstrating that accounting for uncertainties and dynamic hydrogen prices enhances renewable energy use and economic efficiency, optimizing social welfare for operators and economic benefits for microgrids and users.

Low-Carbon Optimization Scheduling of Integrated Energy Systems Based on Bilateral Demand Response and Two-Level Stackelberg Game

In the context of low-carbon energy transformation, fully utilizing the integrated demand response (IDR) resources on the load side can improve the operational flexibility and economy of the integrated energy system (IES). However, establishing a reasonable trading mechanism to enhance users’ participation in IDR has become a key issue that IES urgently needs to solve. To this end, this paper first establishes an IES model that includes electricity, heat, and gas. To reduce carbon emissions, a ladder-type carbon trading mechanism is introduced while adding low-carbon technologies such as carbon capture devices and power-to-gas conversion. Secondly, a bilateral IDR mechanism centered on the load aggregator (LA) is proposed, and a multi-agent operation model including IES, LA, and users is established. The IDR subsidy price is dynamically determined through a two-level Stackelberg game model involving IES, LA, and users. Then, through KKT conditions and the Big M method, the two-level game model is turned into an IES-LA game model, which is solved using a combination of the White Shark Optimization method and the Gurobi solver. The final simulation results show that the scheduling model can fully reflect the time value of IDR resources, and the IES cost is decreased by USD 152.22, while LA and user benefits are increased by USD 54.61 and USD 31.85. Meanwhile, the ladder-type carbon trading mechanism and low-carbon technology have effectively achieved low-carbon operation of the system.

Is there innovation management of emotions or just the commodification of happiness? A sentiment analysis of happiness apps

PurposeThe aim of this research is to gain insight into the emotional impact and cognitive evaluations that these applications have on users from their own perspective.Design/methodology/approachSentiment analysis methodology is used to analyze users’ comments and ratings, assess perceived benefits and determine the emotional impact these applications have on them.FindingsThe results suggest a benefit for happiness scholars, professionals, users and organizations focused on employee well-being and provide valuable insights into the evolving landscape of happiness applications. While the study relies on publicly available user data, it complements, but does not replace, market research or product evaluation conducted by app developers and companies.Originality/valueAmong the myriad channels disseminating the assumption that the good life is attainable through personal means and psychological know-how, smartphone applications have emerged as accessible, cost-effective and attractive tools to help users become happier and alleviate feelings of distress and discomfort.

Reservation and allocation model considering the user cost and the utilization of parking space

In order to alleviate the problem of imbalance between parking supply and demand by improving the utilization rate of parking resources, and considering the game relationship between user benefits and system benefits in parking allocation, the optimization objective function of maximum parking space utilization and minimum user cost in parking reservation mode is established from the two aspects which are system optimization and user optimization respectively. Then, the optimal allocation parking integer programming model (OPA) considering users' preferences is established. An Augmented Lagrangian-Alternating Direction Method of Multipliers Algorithm is designed to solve the optimal solution of the model. Finally, in order to test the validity of the model, the proposed model and the classical distribution model are compared and analyzed under different supply and demand conditions. The results show that the performance of the proposed model in three performance metrics which are parking utilization, average user cost and request acceptance rate is significantly better than that of the classical allocation model. The research results of this paper can provide theoretical reference for the management of parking reservation platform.

Park thermal comfort and cooling mechanisms in present and future climate scenarios

Extreme heat is Australia’s most perilous natural hazard, and increasing urban temperatures due to climate change are a growing concern. Consequently, there is growing interest in developing nature-based solutions (i.e., greenery and vegetated surfaces) to cool urban areas. Appropriately designed urban parks are anticipated to be crucial for maintaining thermal comfort as temperatures rise. The two main diurnal cooling mechanisms of urban parks are shade provision and vegetation transpiration. However, limited studies have examined the cooling performance of vegetation through transpiration, especially in the southern hemisphere. This study addresses this gap by examining the microclimatic conditions, cooling benefits, and thermal performance of a typical neighbourhood park in Perth, Western Australia, with a focus on the cooling performance of vegetation through shade and transpiration. Present and future microclimates were modelled and simulated for average and hottest summer days based on 25 years of local weather data and projections for 2090 under the Representative Concentration Pathway (RCP) 8.5 scenario. The findings reveal that trees provided diurnal cooling benefits for park users by lowering the Universal Thermal Comfort Index (UTCI) by up to 17°C, with this benefit persisting in projected 2090 conditions. This cooling benefit was predominantly achieved through shade provision, with marginal contributions from transpiration. Additionally, on hot days, as leaf temperature exceeded 30°C, increased stomatal resistance led to reduced transpiration. Therefore, more attention must be paid to transpiration cooling limits due to stomatal closure during hot hours to improve cooling performance in park design. Moreover, comparing different plant species’ behaviour and adaptability on hot days is crucial, especially in future climatic conditions.

User expectations for an automated motorway access assistant system

IntroductionTo avoid the uncertainty present in a cooperation between manual vehicles (MVs) and automated vehicles (AVs), cooperative connected automated mobility (CCAM) is frequently proposed. In this contribution, we consider the situation of a motorway slip road where an AV (SAE level 3 or higher) on the motorway cooperates by opening a suitable gap for an entering AV. To ensure a meeting of the cooperation partners, speed adjustment by the system might often be necessary.MethodsTo investigate the acceptance of an automated cooperative motorway access assistant a driving simulator study (N = 41) was conducted. Participants drove six laps on a virtual test track in a level 3 AV. Three levels of speed adjustment and two levels of an HMI (with or without HMI) were tested. They experienced the automated cooperative motorway access assistant in two situations. Firstly, when they entered the motorway themselves and benefited from the system, and secondly, when the system reduced their vehicle's speed to allow for cooperation with another vehicle on a motorway slip road ahead.ResultsThe results show that the acceptance of the assistant depends significantly on the magnitude of speed reduction: the greater the speed adjustment, the worse the user rating, and the more often the cooperation was terminated. Obviously, the acceptance depends on the perspective: If the users themselves benefit from the speed adjustment of others, they rate the system significantly better than if they themselves must accept the restriction. Only in the case of a small speed reduction, the assistant is rated as well as if the user benefits from the system. The availability of a human-machine interface (HMI) providing information about the system status influenced acceptance only marginally but had a significant influence on the trust in the automation.DiscussionThe results suggest that people are willing to accept a personal disadvantage in order to give others an advantage in the context of CCAM. However, acceptance depends on the magnitude of the disadvantage. The overall agreement scores of the system with HMI did not differ from those without HMI, although the HMI was found to slightly reduce the termination of cooperation. Three possible reasons for this result, which differs from previous research, are discussed.

Automating insulin delivery through pump and continuous glucose monitoring connectivity: Maximizing opportunities to improve outcomes.

The development of automated insulin delivery (AID) systems, which connect continuous glucose monitoring (CGM) systems with algorithmic insulin delivery from an insulin pump (continuous subcutaneous insulin infusion, [CSII]), has led to improved glycaemia and quality of life benefits in those with insulin-treated diabetes. This review summarizes the benefits gained by the connectivity between insulin pumps and CGM devices. It details the technical requirements and advances that have enabled this, and highlights the clinical and user benefits of such systems. Clinical trials and real-world outcomes from the use of AID systems in people with type 1 diabetes (T1D)will be the focus of this article; outcomes in people with type 2 diabetes (T2D) and other diabetes subtypes will also be discussed. We also detail the limitations of current technological approaches for connectivity between insulin pumps and CGM devices. While recognizing the barriers, we discuss opportunities for the future.

Modeling and significance assessment of road construction participant and user benefits using expert evaluation methods

Human activities are related to obtain economic, technical, social and environmental benefits. The road construction process participants and road users have direct or indirect benefits from elaboration of new infrastructure. The number of the benefits received by individual entities is publicly discussed by politicians, lobbyists, experts and other decision-makers without having quantitative estimates of benefits, i.e., often relying on intuition or considering theoretical reasoning. The paper suggests a system of 19 benefit entities (criteria) assigned the ranks given by experts. The study involved three categories of experts, including 35 road engineers, 36 transport engineers and 61 road users. The values of the concordance coefficients obtained as a result of the conducted research were found significantly higher than critical values and showed that the opinions of the experts in each category were consistent (not contradictory). This made it possible to consider the average of the opinions of the expert group as a reliable result of solving the problem. Rank averages were replaced by the normalized weights of criteria using Average Rank Transformation into Weight-Linear (ARTIW-L) and – Nonlinear (ARTIW-N) methods. The global averages of criterion weights were used employing the Inverse Hierarchy for Assessment Main Criteria Importance (IHAMCI) method thus calculating the normalized weights of the road-related classified entities (three main criteria). The findings prove that road users benefit the most (weight 0.3485), the road construction contractor (weight 0.3325) is in the next position and the road owner (investor) takes the weight equal to 0.3190. The generated research data can be used for justifying the rationality of road investment.

Experiences and impacts of psychological support following adverse neonatal experiences or perinatal loss: a qualitative analysis

BackgroundPoor parental mental health in the perinatal period has detrimental impacts on the lives and relationships of parents and their babies. Parents whose babies are born premature and/or sick and require neonatal care or those who experience perinatal loss are at increased risk of adverse mental health outcomes. In 2021 a North-West charity received funding to offer psychological support to service users of infants admitted to neonatal care or those who had experienced perinatal loss, named the Family Well-being Service (FWS). The FWS offered three different types of support – ad hoc support at the neonatal units or specialist clinics; one-to-one person-centred therapy; or group counselling. Here we report the qualitative findings from an independent evaluation of the FWS.MethodsThirty-seven interviews took place online or over the phone with 16 service users (of whom two took part in a follow-up interview), eight FWS providers and 11 healthcare professionals. Interviews were coded and analysed using thematic analysis.ResultsThe analysis revealed two themes. ‘Creating time and space for support’ detailed the informational, contextual, and relational basis of the service. This theme describes the importance of tailoring communications and having a flexible and proactive approach to service user engagement. Service users valued being listened to without judgement and having the space to discuss their own needs with a therapist who was independent of healthcare. Communication, access, and service delivery barriers are also highlighted. The second theme - ‘making a difference’ - describes the cognitive, emotional, and interpersonal benefits for service users. These included service users being provided with tools for positive coping, and how the support had led to enhanced well-being, improved relationships, and confidence in returning to work.ConclusionThe findings complement and extend the existing literature by offering new insights into therapeutic support for service users experiencing adverse neonatal experiences or perinatal loss. Key mechanisms of effective support, irrespective of whether it is provided on a one-to-one or group basis were identified. These mechanisms include clear information, flexibility (in access or delivery), being independent of statutory provision, focused on individual needs, active listening, the use of therapeutic tools, and positive relationships with the therapist. Further opportunities to engage with those less willing to take up mental health support should be developed.

Robust Online Selection with Uncertain Offer Acceptance

Online advertising has motivated interest in online selection problems. Displaying ads to the right users benefits both the platform (e.g., via pay-per-click) and the advertisers (by increasing their reach). In practice, not all users click on displayed ads, while the platform’s algorithm may miss the users most disposed to do so. This mismatch decreases the platform’s revenue and the advertiser’s chances to reach the right customers. With this motivation, we propose a secretary problem where a candidate may or may not accept an offer according to a known probability p. Because we do not know the top candidate willing to accept an offer, the goal is to maximize a robust objective defined as the minimum over integers k of the probability of choosing one of the top k candidates, given that one of these candidates will accept an offer. Using Markov decision process theory, we derive a linear program for this max-min objective whose solution encodes an optimal policy. The derivation may be of independent interest, as it is generalizable and can be used to obtain linear programs for many online selection models. We further relax this linear program into an infinite counterpart, which we use to provide bounds for the objective and closed-form policies. For [Formula: see text], an optimal policy is a simple threshold rule that observes the first [Formula: see text] fraction of candidates and subsequently makes offers to the best candidate observed so far. Funding: Financial support from the U.S. National Science Foundation [Grants CCF-2106444, CCF-1910423, and CMMI 1552479] is gratefully acknowledged.

Designing near-peer mentoring for work integrated learning outcomes: a systematic review

BackgroundWork-integrated learning (WIL) is a core aspect of allied health education. WIL placements typically focus on developing clinical skills, with broader conceptions of work readiness a secondary consideration. Near-peer mentoring (NPM), where senior students mentor junior students, is one WIL placement model that holds promise for developing students’ work readiness, along with additional benefits for educators and service users. While there is emerging evidence of the benefits of NPM in allied health, a more comprehensive understanding of the design and outcomes of NPM WIL placements for allied health students, their educators and service users is needed.MethodsA systematic search of seven electronic databases (CINAHL, ERIC, ProQuest Education, Medline, PsychInfo, EMBASE and Scopus) from 2003 to 2022 was conducted with 4195 records reviewed. Included studies reported on near-peer mentoring between at least one of the identified 11 allied health professionals providing services to real people (i.e. not simulation). Data extracted included pedagogical approaches, type of service model and relationship of peers to each other and educator, objectives for implementing the NPM, and effects for students. Quality appraisal was undertaken using the Standards for Reporting of Qualitative Research (SRQR).ResultsFourteen studies met the inclusion criteria. The majority were North American in origin, from the disciplines of pharmacy, physiotherapy, psychology and occupational therapy, and used a range of research designs. Four types of placement design were observed from incidental co-location of students and observing outcomes through to deliberate preparation of students and/or educators for their roles in a NPM placement. Outcomes for junior students included lowered anxiety leading to increased confidence and motivation to learn and thus enhanced clinical skills. Senior student outcomes included development of educator skills, increased confidence, and enhanced professional reasoning. Service users and educators also benefited from NPM; however, evidence was sparse in these areas.ConclusionThe evidence supports near-peer mentoring as a valuable WIL model to support work readiness, and several general pedagogical designs are evident. Future research should design NPM WIL with a greater integration of educational theory and evaluate outcomes beyond satisfaction and self-reported experiences.

Public Views on Whether the Use of Pharmaceutical Neuroenhancements Should Be Allowed.

Some individuals are using drugs to try to enhance cognitive and social-affective functioning and asking physicians for off-label prescriptions for neuroenhancement (e.g., stimulants). Several medical societies released guidance on prescribing neuroenhancers, some of which refer to potential societal effects of neuroenhancement (e.g., distributive justice), besides risks and benefits to users. Which institutions (e.g., medical societies, government, universities) should make decisions on allowing neuroenhancement and whether they should consider potential societal effects are unclear. We examined whether and how much support for allowing pharmaceutical neuroenhancers was influenced by the institution and potential individual and societal effects of neuroenhancers. We conducted a discrete-choice experiment using a constructed representative sample of the US adult public. Multinomial logit models were used to analyze the data. Participants (n = 927) demographically resembled the US population. Risks of serious side effects (OR 0.20, CI 0.18-0.22) and a lack of benefits for users (OR 0.31, CI 0.26-0.38) had the largest negative effect on participants' support for allowing neuroenhancers. A risk of mild side effects had a moderate negative effect on participants' support for allowing neuroenhancers (OR 0.67, CI 0.62-0.74) and the prospect of more meaningful, long-lasting benefits for users a moderate positive effect (OR 1.74, CI 1.61-1.87). Positive or negative effects of neuroenhancers on the average well-being of people in society and on equality had moderate effects on participants' support for allowing neuroenhancers. For example, the odds of participants' support for allowing enhancers with a negative effect on societal well-being were around half (OR 0.45, CI 0.40-0.50) and the odds of allowing enhancers that worsen inequality were approximately 40% lower compared with enhancers without such effects (OR 0.62, CI 0.55-0.71). The odds of participants allowing neuroenhancers were slightly (10%) lower if enhancers reduced users' authenticity (OR 0.90, CI 0.84-0.97). The institution regulating neuroenhancers and neuroenhancers providing users with an unfair advantage did not affect participants' decisions. When presented with both individual and societal considerations, the public seems to support medical societies and other institutions making policy decisions about neuroenhancers based on risks and benefits for users, as well as, but to a lesser extent, effects on equality and societal well-being.

Evaluation of Different Visual Feedback Methods for Brain-Computer Interfaces (BCI) Based on Code-Modulated Visual Evoked Potentials (cVEP).

Brain-computer interfaces (BCIs) enable direct communication between the brain and external devices using electroencephalography (EEG) signals. BCIs based on code-modulated visual evoked potentials (cVEPs) are based on visual stimuli, thus appropriate visual feedback on the interface is crucial for an effective BCI system. Many previous studies have demonstrated that implementing visual feedback can improve information transfer rate (ITR) and reduce fatigue. This research compares a dynamic interface, where target boxes change their sizes based on detection certainty, with a threshold bar interface in a three-step cVEP speller. In this study, we found that both interfaces perform well, with slight variations in accuracy, ITR, and output characters per minute (OCM). Notably, some participants showed significant performance improvements with the dynamic interface and found it less distracting compared to the threshold bars. These results suggest that while average performance metrics are similar, the dynamic interface can provide significant benefits for certain users. This study underscores the potential for personalized interface choices to enhance BCI user experience and performance. By improving user friendliness, performance, and reducing distraction, dynamic visual feedback could optimize BCI technology for a broader range of users.

The Innovation of Digital Payment System with QRIS in National Open API and Maqasid al-Sharia Standards

QRIS is a digital payment system innovation standardized as a national QR code in Indonesia. This paper analyzes the National Open API and Maqasid al-Sharia standards within the QRIS digital payment system. Employing a qualitative descriptive methodology, the study determined that Bank Indonesia formulated three National Open API standards: governance guidelines, data standards with technical specifications, and technical and safety standards. Aligned with Maqasid al-Sharia, the analysis reveals a significant correlation between QRIS and its core tenets, specifically Hifz ad-Din (safeguarding religion) and Hifz al-Mal (preserving wealth). Moreover, viewing maqasid as a methodological framework, QRIS is deemed a legal and halal system conforming to maqasid. This topic can be examined from five dimensions: the payment system's alignment with Sharia law, its widespread use among traders (urf tujjar), the contractual adherence (ijab qabul) to Islamic sharia and user benefits, the reflection of service value in QRIS service fees, and mutual advantages for both parties. Regarding maslahah, QRIS falls under dzanni maslahah, necessitating its implementation to be entrusted to contemporary mujtahids for the continued benefit of users

Poverty Alleviation in Nigeria: A Decadal Examination of Political Economic Forces and Implications for Future Initiatives, Spotlighting Microfinance Banks

This research investigates the impact of political-economic dynamics on the effectiveness of Poverty Reduction Strategy Papers (PRSPs) in Nigeria from 2004 to 2014, with a specific emphasis on the role played by Microfinance Banks (MFBs). Employing a phenomenological approach within the social constructionist tradition, the study utilizes both individual and focus group interviews, complemented by the analysis of official documents from Nigerian Federal Ministries and the Central Bank. The case selection centers on microcredit, an important component of the IMF country report for the specified period. The findings reveal that while the National Economic Empowerment and Development Strategy (NEEDS) exhibits positive macroeconomic indicators, its alignment with the empowerment framework is nuanced. The study highlights the challenges faced by microcredit users, emphasizing the high interest rates, lack of government support, and inadequacies in the regulatory framework. Microfinance policy, as outlined by the Central Bank of Nigeria, is critiqued for its failure to provide safety nets and welfare benefits for microcredit users, exacerbating their economic vulnerabilities. This research contributes a comprehensive understanding of the socio-economic impact of PRSPs in Nigeria, shedding light on the complex interplay between macroeconomic policies and micro-level dynamics. The policy recommendations provided aim to address these challenges, advocating for regulatory enhancements, targeted interventions, and inclusive economic growth to foster a more effective and equitable poverty reduction strategy.

Co-Designing a Smoking Cessation Chatbot: Focus Group Study of End Users and Smoking Cessation Professionals.

Our prototype smoking cessation chatbot, Quin, provides evidence-based, personalized support delivered via a smartphone app to help people quit smoking. We developed Quin using a multiphase program of co-design research, part of which included focus group evaluation of Quin among stakeholders prior to clinical testing. This study aimed to gather and compare feedback on the user experience of the Quin prototype from end users and smoking cessation professionals (SCPs) via a beta testing process to inform ongoing chatbot iterations and refinements. Following active and passive recruitment, we conducted web-based focus groups with SCPs and end users from Queensland, Australia. Participants tested the app for 1-2 weeks prior to focus group discussion and could also log conversation feedback within the app. Focus groups of SCPs were completed first to review the breadth and accuracy of information, and feedback was prioritized and implemented as major updates using Agile processes prior to end user focus groups. We categorized logged in-app feedback using content analysis and thematically analyzed focus group transcripts. In total, 6 focus groups were completed between August 2022 and June 2023; 3 for SCPs (n=9 participants) and 3 for end users (n=7 participants). Four SCPs had previously smoked, and most end users currently smoked cigarettes (n=5), and 2 had quit smoking. The mean duration of focus groups was 58 (SD 10.9; range 46-74) minutes. We identified four major themes from focus group feedback: (1) conversation design, (2) functionality, (3) relationality and anthropomorphism, and (4) role as a smoking cessation support tool. In response to SCPs' feedback, we made two major updates to Quin between cohorts: (1) improvements to conversation flow and (2) addition of the "Moments of Crisis" conversation tree. Participant feedback also informed 17 recommendations for future smoking cessation chatbot developments. Feedback from end users and SCPs highlighted the importance of chatbot functionality, as this underpinned Quin's conversation design and relationality. The ready accessibility of accurate cessation information and impartial support that Quin provided was recognized as a key benefit for end users, the latter of which contributed to a feeling of accountability to the chatbot. Findings will inform the ongoing development of a mature prototype for clinical testing.

The Continuous Electron Beam Accelerator Facility at 12 GeV

This review paper describes the energy-upgraded Continuous Electron Beam Accelerator Facility (CEBAF) accelerator. This superconducting linac has achieved 12 GeV beam energy by adding 11 new high-performance cryomodules containing 88 superconducting cavities that have operated cw at an average accelerating gradient of 20 MV/m. After reviewing the attributes and performance of the previous 6 GeV CEBAF accelerator, we discuss the upgraded CEBAF accelerator system in detail with particular attention paid to the new beam acceleration systems. In addition to doubling the acceleration in each linac, the upgrade included improving the beam recirculation magnets, adding more helium cooling capacity to allow the newly installed modules to run cold, adding a new experimental hall, and improving numerous other accelerator components. We review several of the techniques deployed to operate and analyze the accelerator performance and document system operating experience and performance. In the final portion of the document, we present much of the current planning regarding projects to improve accelerator performance and enhance operating margins, and our plans for ensuring CEBAF operates reliably into the future. For the benefit of potential users of CEBAF, the performance and quality measures for the beam delivered to each of the experimental halls are summarized in the Appendix. Published by the American Physical Society 2024

Register Lingual pada Jual Beli Online dalam Aplikasi Shoppe

Sociolinguistics is one of the fields of linguistics that studies the interaction between language and society. Nowadays, the use of language variations or registers, including in the context of online buying and selling, is increasing. However, despite its frequent use, many people still lack understanding of the registers used in online transactions such as in the Shopee app. Many users, from parents to teenagers and even children, only read or write at a glance without understanding the meaning of the register used. The characteristics of this register are related to the linguistic rules in the advertising text, which are short and contain special terms. The formulation of the problem in this study is how the variety of lingual registers in online buying and selling in Shopee application. The purpose of this study is to identify and describe the forms of lingual registers used in online buying and selling transactions at Shopee. The benefits of this research are divided into theoretical and practical benefits for creators, readers, observers, and users of online buying and selling. The techniques used in this research include listening, reading, and recording techniques, as well as sorting data analysis techniques. The results of this study produce 8 data that show the variation of lingual register in online buying and selling at Shopee. The analysis of registers in online buying and selling in Shopee application contributes as a source of knowledge in the learning process, and can increase understanding for readers and broaden insights in learning.

Supporting Inclusivity Through an Automatic Transcription Application to Improve Hearing Skills for the Deaf

Inclusivity is the principle that underlies a just and equal society for all individuals, including students or pupils who have hearing disabilities such as the deaf. In an effort to realize inclusivity, technological developments have opened the door to solutions that can improve the quality of life for deaf users. One of the main challenges faced by deaf users is difficulty in understanding and communicating with the outside world through hearing. This article discusses how automatic transcription applications can serve as powerful tools in supporting inclusiveness by improving the listening skills of deaf users. An automatic transcription application is software that is capable of converting spoken conversations into text in real-time. This has the potential to enable deaf users to access previously difficult-to-reach information. The use of automatic transcription applications can provide significant benefits for deaf users. Firstly, it allows pupils and students to follow conversations and presentations better, improving their listening skills. Second, users can participate more actively in various social and educational activities, feeling more confident in interacting with friends, colleagues and instructors. Apart from that, the use of this application can also help in the development of their spoken language, because students can view the transcribed text while listening to the conversation. However, there are several challenges that need to be overcome in implementing this automatic transcription application. These include accuracy of transcription, availability of appropriate hardware and software, and community understanding of the needs and rights of deaf users. Therefore, collaboration between technology developers, the deaf community, and other interested parties is important in ensuring that automated transcription applications can be used effectively to increase inclusivity for deaf users.