bluuebunny/crossref_metadata_2025_split huggingface dataset:
A detailed characterisation of drug resistance during darunavir/ritonavir (DRV/r) monotherapy highlights a high barrier to the emergence of resistance mutations in protease but identifies alternative pathways of resistance
Authors: Abdullahi Adam , Diaz Ana Garcia , Fopoussi Olga Mafotsing , Beloukas Apostolos , Defo Victoire Fokom , Kouanfack Charles , Torimiro Judith , Geretti Anna Maria 
Published: October 2023

AbstractBackgroundMaintenance monotherapy with DRV/r has yielded variable outcomes and is not recommended. Trial samples offer valuable opportunities for detailed studies. We analysed samples from a 48-week trial in Cameroon to obtain a detailed characterisation of drug resistance.MethodsFollowing failure of NNRTI-based therapy and virological suppression on PI-based therapy, participants were assigned to receive either DRV/r (n=81) or TDF/3TC + LPV/r (n=39). PBMC from study entry underwent bulk protease and RT sequencing. Plasma collected at virological rebound (confirmed or last available HIV-1 RNA >60 copies/ml) underwent ultradeep protease and RT sequencing and bulk gag-protease sequencing. A site-directed mutant with T375A (p2/p7) was phenotypically characterised using a single-cycle assay.ResultsHIV-1 DNA analysis revealed NRTI and NNRTI resistance-associated mutations (RAMs) in 52/90 (57.8%) and 53/90 (58.9%) samples, respectively. In rebound HIV-1 RNA (DRV/r n=21; LPV/r n=2), prevalence was 9/23 (39.1%) and 10/23 (43.5%), respectively, with most RAMs occurring at frequencies ≥15%. No DRV RAMs were found. Paired HIV-1 DNA and RNA sequences showed partial consistency in resistance patterns. Among 8 participants experiencing virological rebound on DRV/r (n=12 samples), all showed gag mutations associated with PI-exposure, including T375N, T375A (p2/p7), K436R (p7/p1), and mutations in p17, p24, p2 and p6. T375A conferred 10-fold DRV resistance and increased replication capacity.ConclusionsThe study highlights the high resistance barrier of DRV/r while identifying alternative pathways of DRV resistance through gag substitutions. During virological suppression, resistance patterns in HIV-1 DNA reflect treatment history, but due to technical and biological considerations, cautious interpretation is warranted.
Evaluation of 1stWHO Anti-Malaria Reference Reagent for Competition ELISA Harmonisation and Development of ADAMSEL Analytical Platform
Authors: Khatri Bhagwati , Riese Peggy , Shkarlet Hanna , Mortier Daniella , McShane Helen , Bowyer Paul , Remarque Edmond 
Published: October 2023

AbstractThis study focuses on harmonising the competition ELISA (cELISA) assay forPlasmodium falciparum(P. falciparum), using the 1stWHO reference reagent for anti-malaria (P. falciparum) human reference serum (10/198). Antibody-mediated immune responses, against the Apical Membrane Antigen 1 (AMA1), play a significant role in protection against malaria. However, the sequence diversity of AMA1 and cross-reactivity among variants pose challenges in assessing antibody responses. To address this, the cELISA assay was selected to examine cross-reactive antibody responses against different variants.The harmonisation process for cELISA was performed in three laboratories. The 10/198 served as an internal standard for the calculation of IgG concentrations in the cELISA using ADAMSEL software. Additionally, a novel semi-automated analytical tool was developed in the R-statistics environment. This tool is freely available for download and streamlines result in generation while minimising human error.This study demonstrated the effectiveness of the 1stWHO reference reagent as a standard for ELISA. Additionally, the ADAMSEL software and R-platform tool provide a user-friendly and accessible tool for the analysis of cELISA data. Its automation capabilities improve efficiency and ensure global accessibility at no cost, benefitting laboratories with limited resources.ImportanceThis study focuses on the 1stWHO reference reagent (10/198) in harmonizing the competition ELISA (cELISA) assay for P. falciparum. In addition, the introduction of ADAMSEL software for cELISA data analysis, coupled with a novel R-platform tool, available for free, simplifies analytical processes and contributes to global accessibility. This study demonstrates the 1stWHO reference reagent’s efficacy as a competition ELISA standard.
Clinical Performance and Safety of Cerviron Vaginal Ovules in the Management of Cervical Lesions Postoperative Care: A National, Multicentric Study
Authors: Petre Izabella , Toader Daniela Oana , Petrita Ramona , Pinta Alexandru-Remus , Alexa Andreea Anda , Mercioni Marina Adriana , Sandulescu Roxana-Mihaela 
Published: October 2023

AbstractBackgroundLaser conization and electrocautery are the preferred surgical options for the management of benign cervical erosions. Local re-epithelialization therapy should be initiated preoperatively and postoperatively to prevent severe bleeding, wound inflammation, and infection.ObjectiveTo investigate the aspect of the cervix by colposcopy after a 3-month treatment with the medical device. As secondary objectives, the study analyzed the presence of primary and secondary inflammation, the presence of ulceration, colpitis, vaginal discharge, and vaginal irritation.MethodsThe study population included 27 participants with benign, ectopic, cervical ectopy that consented their participation in 3 research sites from Romania. The treatment protocol consisted of the delivery of the medical device intravaginally, for 15 consecutive days, with a total study duration of 3 months.ResultsCerviron had a positive impact on cervical epithelialization. After 3 months of treatment with Cerviron, for 100.00% of the participants, the colposcopy result was normal. Cerviron seems to exert a beneficial effect in reducing primary inflammation correlated with cervical erosions. It was observed that after 90 days of treatment primary inflammation was reduced by 85.19% (p < 0.001; 95% CI [58.74 – 98.35]). Other clinical parameters associated with cervical ectopy have certainly improved: vaginal erosion by 70.37% (p < 0.001, 95% CI [48.30 – 93.23]), ulceration by 55.56% (p < 0.001, 95% CI [33.22 – 83.67]), colpitis by 81.48% (95% CI [62.52 – 100.00], and vaginal secretion by 66.67% (95% CI [44.26 – 90.74]).ConclusionsThe medical device reduced inflammation and other symptoms related to non-malignant cervical disease. Moreover, our study findings suggest that supportive treatment with Cerviron can be recommended for cervical wound healing in patients with human papillomavirus infection.ClinicalTrials.govidentifier:NCT04735718
Trends in Nationally Notifiable Infectious Diseases in Humans and Animals During the COVID-19 Pandemic in South Korea
Authors: Chang Taehee , Cho Sung-il , Yoo Dae sung , Min Kyung-Duk 
Published: October 2023

AbstractNon-pharmaceutical interventions (NPIs) were implemented to cope with the coronavirus disease 2019 (COVID-19) pandemic in South Korea. These interventions could also have affected other infectious diseases, but there have been no comprehensive studies regarding their impacts. This study examined trends in notifiable infectious diseases in both humans and animals during the COVID-19 pandemic. Autoregressive integrated moving average (ARIMA) models were developed for each disease using data from 2016 to 2019, and the incidences for 2020 to 2021 were predicted. Subsequently, the predicted numbers of cases were compared with actual observations. Our findings indicated a substantial reduction in human respiratory infectious diseases during implementation of NPIs. However, human gastrointestinal infectious diseases and livestock diseases did not show a significant decrease. The results revealed that the preventive effect sizes of NPIs varied among diseases and indicated the potential for side effects, suggesting that complementary interventions are needed to minimize these negative effects.
Disability Documentation in the National Health Interview Survey and Its Consequence: Comparing the American Community Survey to the Washington Group Disability Measures
Authors: Landes Scott D. , Swenor Bonnielin K. , Vaitsiakhovich Nastassia 
Published: October 2023

AbstractBackground and Objective.The objective of the National Health Interview Survey (NHIS) is to provide data that can be used to monitor the health of the US population. In this study, we evaluate whether the disability questions currently used in the NHIS – the Washington Group questions – threaten the ability of this survey to fulfil its stated objective for disabled people.Methods.Data were from the 2011-2012 NHIS with linkage to mortality status through 2019. We examined the percentage and characteristics of people reporting a disability in the American Community Survey (ACS) disability questions who were documented as such in the Washington Group (WG) disability questions. We then examined the consequence of use of the WG, as opposed to the ACS questions, on estimates of disability prevalence and comparative mortality risk.Results.We find that when compared to their predecessor, the American Community Survey disability questions, the Washington Group questions account for less than half of disabled people, primarily documenting disabled people with a more than one disability status, but excluding many disabled people with only one disability status. As a result of these exclusions, disability prevalence rates based on the Washington Group questions underestimate the size of the disabled population in the US, and overestimate the comparatively higher mortality risk associated with disability status.Conclusions.These results underscore the need to re-evaluate the disability questions used in the NHIS, and invest in the development of improved and expanded disability questionnaires for use in national surveys.
Stock price indices prediction combining deep learning algorithms and selected technical indicators based on correlation
Authors: Ifleh Abdelhadi , El Kabbouri Mounime 
Published: October 2023

PurposeThe prediction of stock market (SM) indices is a fascinating task. An in-depth analysis in this field can provide valuable information to investors, traders and policy makers in attractive SMs. This article aims to apply a correlation feature selection model to identify important technical indicators (TIs), which are combined with multiple deep learning (DL) algorithms for forecasting SM indices.Design/methodology/approachThe methodology involves using a correlation feature selection model to select the most relevant features. These features are then used to predict the fluctuations of six markets using various DL algorithms, and the results are compared with predictions made using all features by using a range of performance measures.FindingsThe experimental results show that the combination of TIs selected through correlation and Artificial Neural Network (ANN) provides good results in the MADEX market. The combination of selected indicators and Convolutional Neural Network (CNN) in the NASDAQ 100 market outperforms all other combinations of variables and models. In other markets, the combination of all variables with ANN provides the best results.Originality/valueThis article makes several significant contributions, including the use of a correlation feature selection model to select pertinent variables, comparison between multiple DL algorithms (ANN, CNN and Long-Short-Term Memory (LSTM)), combining selected variables with algorithms to improve predictions, evaluation of the suggested model on six datasets (MASI, MADEX, FTSE 100, SP500, NASDAQ 100 and EGX 30) and application of various performance measures (Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error(RMSE), Mean Squared Logarithmic Error (MSLE) and Root Mean Squared Logarithmic Error (RMSLE)).
Sustainable urban landscapes: a computation framework for enhancing sustainability in early-stage design
Authors: Yoffe Hatzav , Raanan Noam , Fried Shaked , Plaut Pnina , Grobman Yasha Jacob 
Published: October 2023

PurposeThis study uses computer-aided design to improve the ecological and environmental sustainability of early-stage landscape designs. Urban expansion on open land and natural habitats has led to a decline in biodiversity and increased climate change impacts, affecting urban inhabitants' quality of life and well-being. While sustainability indicators have been employed to assess the performance of buildings and neighbourhoods, landscape designs' ecological and environmental sustainability has received comparatively less attention, particularly in early-design stages where applying sustainability approaches is impactful.Design/methodology/approachThe authors propose a computation framework for evaluating key landscape sustainability indicators and providing real-time feedback to designers. The method integrates spatial indicators with widely recognized sustainability rating system credits. A specialized tool was developed for measuring biomass optimization, precipitation management and urban heat mitigation, and a proof-of-concept experiment tested the tool's effectiveness on three Mediterranean neighbourhood-level designs.FindingsThe results show a clear connection between the applied design strategy to the indicator behaviour. This connection enhances the ability to establish sustainability benchmarks for different types of landscape developments using parametric design.Practical implicationsThe study allows non-expert designers to measure and embed landscape sustainability early in the design stages, thus lowering the entry level for incorporating biodiversity enhancement and climate mitigation approaches.Originality/valueThis study expands the parametric vocabulary for measuring landscape sustainability by introducing spatial ecosystem services and architectural sustainability indicators on a unified platform, enabling the integration of critical climate and biodiversity-loss solutions earlier in the development process.
Adult and child labor markets with Nashian and Kantian firms
Authors: Pham Van H. 
Published: October 2023

PurposeThis paper is a dedication to Professor Ngo Van Long who introduced the idea of Kant–Nash equilibrium. The author extends this analysis to the study of adult and child labor markets.Design/methodology/approachThis is a game theoretic analysis of the market for adult and child workers when some firms behave in the neoclassical Nashian way and some firms follow a Kantian social norm.FindingsThe presence of Kantian firms in the output market in addition to Nashian lowers industry output and labor demand. This raises the possibility that Kantian behavior in the output market could lower wages sufficiently and increase the incidence of child labor. If firms engage in Kantian behavior in the labor market by not hiring child workers, adult wage rises but could lower child wage as children if they work can only work for Nashian firms. When labor demand is sufficiently high, more Kantians could raise adult wage above subsistence and eliminate child labor supply.Originality/valueThis is the first paper to apply Kant–Nash equilibrium to the labor market. The result that Kantian behavior could have an unintended negative spillover effect in other markets is new. The paper keeps alive the ideas of Professor Long, which hopefully will stimulate further work and build on his ideas.
Adoption and forecasting of technology: modeling the dynamics of cloud adoption using a system approach
Authors: Sharma Mahak , Gupta Ruchita , Acharya Padmanav 
Published: October 2023

PurposeThis paper aims to examine the dynamism of causal relationships among cloud computing (CC) adoption factors in the Indian context, considering the perspectives of both the cloud adopter and cloud provider.Design/methodology/approachThe case-study method has been used to understand the dynamics among the factors. Using data from specific cases in India, causal loop diagrams (CLDs) have been developed. System dynamic modeling (SDM) and simulation are used to study the relationships and their effect on the adoption rate.FindingsThe results revealed that adoption of CC depends on various factors such as persuasion (time-saving, cost-saving and word of mouth) and constraint factors (security and financial loss). However, it is seen that the adoption rate is very sensitive to changes in adoption per contact and word of mouth. Further, the adopter firm has a quicker time to market, which gives an added advantage to the firm. Also, with CC services, a firm can fulfill its projects or clients' requirements with little to no upfront investment in information technology (IT) services.Practical implicationsLack of security, standardization and undefined service-level agreements are a few pressing issues that make it difficult for firms to evaluate the performance and reliability of services. Hence, immediate attention is needed to make transparent policies on CC and its services, thereby building trust.Originality/valueThis is the first and only work that has tried to explore and empirically test the dynamics of critical factors while making an adoption decision, considering both the adopter and provider perspectives. This study shows the journey of a firm, starting from being a prospective adopter to an adopter and continuous user. The work also empirically tested how adopters of technology benefit from the technology.
Ambidextrous organizational learning and performance: absorptive capacity in small and medium-sized enterprises
Authors: Ding Zhenkuo , Li Meijuan , Yang Xiaoying , Xiao Wanjun 
Published: October 2023

PurposeThe purpose of this paper is to investigate how absorptive capacity mediates the relationship between ambidextrous organizational learning and performance among small and medium-sized enterprises (SMEs).Design/methodology/approachBased on the resource-based view (RBV) and the dynamic capability approach, this paper uses the resource-capability-performance framework to construct the theoretical model of this study and tests the theoretical model with the questionnaire survey data of 189 SMEs in mainland China.FindingsAmbidextrous organizational learning has different effects on SMEs' performance in terms of survival performance and growth performance. Both exploitative learning and exploratory learning have positive effects on absorptive capacity, and absorptive capacity has positive influences on both the survival performance and growth performance of SMEs. Absorptive capacity plays different mediating roles in the relationships between ambidextrous organizational learning and SMEs' performance: absorptive capacity plays a partial mediating role in the relationship between exploratory learning and SME growth performance, while absorptive capacity plays complete mediating roles in other relationships.Practical implicationsManagers must stress the use of exploratory learning in order to promote SMEs' growth performance. However, to foster both absorptive capacity and SME performance in terms of survival and growth, managers must pay more attention to take advantage of ambidextrous organizational learning. Government as policymakers should create a favorable environment that enable SMEs to benefit much more from the deployment of ambidextrous organizational learning and absorptive capacity.Originality/valueTo the best of authors’ knowledge, this study is the first to theorize and test the mediating role of absorptive capacity in the linkage between ambidextrous organizational learning and SME performance in terms of survival and growth. Additionally, this study also is the first to provide empirical support for the impact of ambidextrous organizational learning on absorptive capacity among SMEs.
Facilitating workplace friendships for individuals with limited work capacity
Authors: Li David Chun Yin 
Published: October 2023

Purpose
This paper aims to provide strategies for individuals with limited work capacity (LWC) to build workplace friendships and foster inclusion, which can benefit their mental health.

Design/methodology/approach
The paper integrates key theories such as social exchange theory and the similarity-attraction paradigm to analyze the dynamics of relationships. Practical tips grounded in the existing literature are outlined.

Findings
Effective communication, building trust, showing mutual respect and discovering common interests can facilitate friendship development for employees with LWC. Supportive organizational policies and culture are also critical.

Social implications
By building workplace bonds and inclusion, individuals with LWC may experience greater social support, more engagement and better mental well-being. This also helps to diminish stigma and marginalization.

Originality/value
This viewpoint provides practical guidance specifically designed for individuals with Limited Work Capacity (LWC) to overcome workplace obstacles and build social relationships. It addresses an existing gap in the interpersonal facets of disability inclusion.
Development of a parametric optimization concept for the sun control of the outdoor spaces: the case study of 5A business park, Cairo, Egypt
Authors: Magdy Ayatallah , Mahmoud Ayman Hassaan , Saleh Ahmed 
Published: October 2023

PurposeComfortable outdoor workspaces are important for employees in business parks and urban areas. Prioritizing a pleasant thermal environment is essential for employee productivity, as well as the improvement of outdoor spaces between office buildings to enhance social activities and quality of outdoor workplaces in a hot arid climate has been subjected to very little studies Thus, this study focuses on business parks (BPs) landscape elements. The objective of this study is to enhance the user's thermal comfort in the work environment, especially in the outdoors attached to the administrative and office buildings such as the BPs.Design/methodology/approachThis research follows Four-phases methodology. Phase 1 is the investigation of the literature review including the Concept and consideration of BP urban planning, Achieving outdoor thermal comfort (OTC) and shading elements analysis. Phase 2 is the case study initial analysis targeting for prioritizing zones for shading involves three main methods: social assessment, geometrical assessment and environmental assessment. Phase 3 entails selecting shading elements that are suitable for the zones requiring shading parametrize the selected shading elements. Phase 4 focuses on the optimization of OTC through shading arrangements for the prioritized zones.FindingsShading design is a multidimensional process that requires consideration of various factors, including social aspects, environmental impact and structural integrity. Shading elements in urban areas play a crucial role in mitigating heat stress by effectively shielding surfaces from solar radiation. The integration of parametric design and computational optimization techniques enhances the shading design process by generating a wide range of alternative solutions.Research limitations/implicationsWhile conducting this research, it is important to acknowledge certain limitations that may affect the generalizability and scope of the findings. One significant limitation lies in the use of the shade audit method as a tool to prioritize zones for shading. Although the shade audit approach offers practical benefits for designers compared to using questionnaires, it may have its own inherent biases or may not capture the full complexity of human preferences and needs.Originality/valueFew studies have focused on optimizing the type and location of devices that shade outdoor spaces. As a result, there is no consensus on the workflow that should regulate the design of outdoor shading installations in terms of microclimate and human thermal comfort, therefore testing parametric shading scenarios for open spaces between office buildings to increase the benefit of the outer environment is very important. The study synthesizes OTC strategies by filling the research gap through the implementation of a proper workflow that utilizes parametric thermal comfort.