Exploring the creation of an alternative workforce by upskilling pharmacists working in primary care for chronic skin conditions: a qualitative thematic analysis by Sangeeta Punjabi, Ayushi Singh

“…Another strong theme from all groups was that financial constraints in the NHS were a challenge to implementation because pharmacists were needed to meet quality framework targets in primary care.7 Recommendation themes from all groups agreed for a supportive pathway with secondary care input. This includes setting up either a community service that embeds prescribing pharmacists safely, or a post-diagnosis service through advice and guidance with a protocol-driven treatment plan. …”
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Longitudinal study of adolescent stress, critical consciousness and resilience trajectories in the context of structural racism: the RISE Baltimore study protocol by Renee M Johnson, Rashelle Musci, Dylan Jackson, Laura K Clary, Tamar Mendelson, Lindsey Webb, Monica Guerrero Vazquez, Joni Holifield, Delida Sanchez, Matt Jans, Roderick Watts

“…A Youth Advisory Board comprised of adolescents who are representative of our target study population will be developed to provide input on the study and its implementation. Growth mixture modelling and latent variable modelling will be used to analyse quantitative data. …”
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Advantages of a genomic DNA-based next-generation sequencing assay for detection of mutant NPM1 measurable residual disease in AML by Christian M. Vonk, Tim Grob, Melissa Rijken, François G. Kavelaars, Jolinda M. L. Konijnenburg, Gert J. Ossenkoppele, Markus G. Manz, Violaine Havelange, Yngvar Fløisand, Bob Löwenberg, Peter J. M. Valk

“…Because of recent advancements of promising drugs targeting mNPM1 AML, monitoring of mNPM1 MRD has gained interest, and is generally done by reverse transcriptase quantitative polymerase chain reaction (RT-qPCR). However, these RT-qPCR assays use complementary DNA (cDNA) as input, are based on gene expression levels of mNPM1, and are generally limited to specific mNPM1 gene variants. …”
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Interventions to prevent aggression against doctors: a systematic review by Ann Raveel, Birgitte Schoenmakers

“…Postincident reporting followed by root cause analysis of the incident provides the basic input for review and optimisation of violence prevention programmes.Conclusions This review documented interventions to prevent and de-escalate aggression against doctors. …”
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Prediction of Monthly Temperature Over China Based on a Machine Learning Method by Ping Mei, Zixin Yin, Haoyu Wang, Changzheng Liu, Yaoming Liao, Qiang Zhang, Liping Yin

“…After feature engineering, including feature selection and dimensionality reduction, the predictors are generated and input into a regressor. Five machine learning algorithms are employed as regressors one by one: linear regression (LR), ridge regression (RR), random forest (RF), support vector machine (SVM), and gradient boosting decision trees (GBDTs). …”
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Systematic review and meta-analysis protocol of impact of pharmacist-led antibiotic stewardship audit-feedback intervention by Duaa Salem Jawhar, Amer Hayat Khan, Khurshid Alam

“…Publication bias will be examined using funnel plots and Egger’s test. For the quantitative synthesis, a random-effects model will be employed. • This protocol outlines a rigorous plan for conducting a high-quality meta-analysis examining the impact of pharmacist-led audit and feedback interventions within antibiotic stewardship programs. • It details the full methodological framework, from topic selection through to the statistical approaches planned for data synthesis. • By publicly sharing our protocol through an academic publishing platform, we aim to promote transparency, invite constructive input, and contribute to raising the methodological standards for meta-analyses in the domain of antibiotic stewardship.…”
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Incorporating usability evaluation into iterative development of an online platform to support research participation in Parkinson’s disease: a mixed methods protocol by Stephen Mullin, Edward Meinert, Camille B Carroll, John Whipps, Sue Whipps, Rebecca Chapman, Marie-Louise Zeissler, Kate Hockey, Philip Hockey

“…Quantitative data will be analysed using descriptive statistics, and a thematic analysis undertaken for interview data. …”
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Boundary Control Behaviors of Multiple Low-Cost AUVs Using Acoustic Communication by Mohammed Tarnini, Saverio Iacoponi, Andrea Infanti, Cesare Stefanini, Giulia de Masi, Federico Renda

“…All tests were performed with fully autonomous platforms, and no external input or sensor was provided to the AUVs during validation. …”
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Advanced 3D Artistic Image Generation with VAE-SDFCycleGAN by Dorcas Oladayo Esan, Pius Adewale Owolawi, Chunling Tu

“…VAE extracts feature from the two-dimensional input image and reconstructs a voxel-type grid using a signed distance function. …”
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Real-Time Posture Correction of Squat Exercise: A Deep Learning Approach for Performance Analysis and Error Correction by Prashant Rao, C. S. Asha, P. Raghavendra Rao

“…Both qualitative and quantitative evaluations indicate that our approach outperforms state-of-the-art methods utilizing stereo video input. …”
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THE ACCEPTANCE OF AN EDUCATIONAL INTEGRATED DEVELOPMENT ENVIRONMENT TO LEARN PROGRAMMING FUNDAMENTALS by Nor Farahwahida Mohd Noor, Aslina Saad, Abu Bakar Ibrahim, Norashady Mohd Noor

“…For the problem-solving environment, the Computational Thinking (CT) concepts were applied which were supported by the Input-Process-Output (IPO) Model through Scientific Instructions and Inquiries. …”
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An Integrated Model of Emotional Intelligence, Leadership, and Game Playability in Enhancing Team Effectiveness in MMOGs by Xiaoxue Gong, Lili Nurliyana Abdullah, Azrul Hazri Jantan, Noris Mohd Norowi, Anara Karymsakova

“…Drawing on the Input–Process–Output (IPO) model, social identity theory, and user experience theory, the research focused on how individual characteristics shape team outcomes and player experiences. …”
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An Iterative Adaptive Polarization Calibration Method Independent of Corner Reflectors by Bowen Chi, Jixian Zhang, Guoman Huang, Lijun Lu, Shucheng Yang

“…Polarimetric calibration (PolCal) is essential for the quantitative processing of polarimetric synthetic aperture radar data. …”
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Quantifying ventilatory control with 3% CO2 inhalation during exercise by Suhaib M. Hashem, Stanley M. Yamashiro, Takahide Kato, Takaaki Matsumoto, Vasilis Z. Marmarelis

“…The low frequency WGAs, however, only maintain significance during rest and the baseline session of exercise.ConclusionChanges in WGA can be used as quantitative estimates of central and peripheral chemoreflexes. 3% CO2 activates both reflexes and is more apparent in the higher frequency WGAs during exercise due to the oxygen dependent mechanisms effects of exercise.…”
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Assessment of Severe Accident Management for Small IPWR under an ESBO Scenario by Hao Yu, Minjun Peng

“…After the reactor reaches the SAMG entry conditions, the PSS input can effectively alleviate the accident and prevent the core from being damaged and melted. …”
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HoloMoA: a holography and deep learning tool for the identification of antimicrobial mechanisms of action and the detection of novel MoA by Zohreh Sedaghat, Benoît Courbon, Héloïse Botrel, Hélène Dugua, Pawel Tulinski, Laethitia Alibaud, Lucia Pagani, Derry Mercer, Cyril Guyard, Christophe Védrine, Sophie Dixneuf

“…First, using reconstructed phase images as input to a Convolutional Recurrent Neural Network (CRNN), we detected the MoA of known antibiotics with 95% accuracy. …”
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Real-Time Long-Wave Infrared Semantic Segmentation With Adaptive Noise Reduction and Feature Fusion by Haejun Bae, Dong-Goo Kang, Minhye Chang, Kye Young Jeong, Byung Cheol Song

“…Extensive qualitative and quantitative evaluations further validate its robustness, particularly in scenarios where RGB imagery is unavailable. …”
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Microseismic moment tensor inversion based on ResNet model by Jiaqi Yan, Li Ma, Tianqi Jiang, Jing Zheng, Dewei Li, Xingzhi Teng

“…This ResNet-based moment tensor prediction technology, whose input is raw recordings, does not require the extraction of data features in advance. …”
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Investigation of TsGAN-based multimodal image fusion to augment image pre-processing abilities by Priyanka Bhatambarekar, Gayatri Phade

“…The TSGAN framework generates a unified texture map that captures essential gradient preservation into the generator’s loss function, the model successfully retains critical information about texture from the input source images. Additionally, “a multiple decision map-based strategy” is introduces for fusion to enhance texture extraction. …”
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Creation of Text Vignettes Based on Patient-Reported Data to Facilitate a Better Understanding of the Patient Perspective: Design Study by Sofia Charlotte Kelly, Emilie Kauffeldt Wegener, Lars Kayser

“…ConclusionsText vignettes can be developed using PRO instruments, with individual scales as input strings. This provides an opportunity to present numeric values in a text format that is understandable and recognizable to most patients and clinicians. …”
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