Towards personalized cardiometabolic risk prediction: A fusion of exposome and AI by Zeinab Shahbazi, Slawomir Nowaczyk

“…However, integrating diverse exposome factors into predictive models for personalized health assessments remains a challenge due to the complexity and variability of environmental exposures and lifestyle factors. …”
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Machine learning based sucker rod pump fault diagnosis using motor power curve by Othman H. Ahmed, Samuel I. Tecle, Anatoliy A. Zyuzev, Vladimir P. Metelkov

“… Relevance. The complexity of monitoring and diagnosing the condition of underground structural elements of sucker rod pumping units and large economic losses when operating this equipment with defects not identified in a timely manner. …”
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MOUTH BREATHING SYNDROM-AN INTERDISCIPLINARY APPROACH by Iasmina-Alexandra Predescu, Andreea Mihaela Kiș, Dana Emanuela Pitic, Alina Anton, Ștefania Dinu, Mariana Păcurar, Eugen Bud, Ramona Amina Popovici, Mălina Popa, Iustin Olariu

“…Aim of the study Mouth breathing syndrome (MBS) is a multifactorial condition where the patient breathes predominantly through the mouth instead of the nose, leading to negative consequences on facial development, oral and general health. Because of its complexity, MBS therapy requires close collaboration between different specialities. …”
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Staring Contests in the Overlord Embroidery by Nicole Terrien

“…Le spectateur se trouve alors au cœur de l’action, partageant des émotions complexes. La nécessité constante de reconstruire le schéma transforme ce qui aurait pu être un outil de propagande en véritable œuvre d’art originale.…”
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Promising new drugs and therapeutic approaches for treatment of ovarian cancer—targeting the hallmarks of cancer by Julia Hillmann, Nicolai Maass, Dirk O. Bauerschlag, Inken Flörkemeier

“…The hallmarks of cancer constitute a broad concept to reenact complexity of malignancies and furthermore identify possible targets for new treatment strategies. …”
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Candiduria in Pediatric Patients: Two Case Reports and a Review of Management Strategies. by Aferdita Ademi, Ferizat Dika Haxhirexha, Agron Dogjani, Kastriot Haxhirexha

“…These fungal urinary infections, known as fungiuria, require a more intricate and prolonged treatment plan involving antifungal medications. This complexity underscores the need for specialized knowledge and skills in managing such cases. …”
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Equilibrium distance from long-range dune interactions by J. Vérité, C. Narteau, O. Rozier, J. Alkalla, L. Barrier, S. Courrech du Pont

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Information system for ontological modelling the subject areas by M. N. Bukharov

“…The task is to reduce the complexity of ontological modeling.Methods. As research methods, the theory of hybrid intelligence systems, the theory of sets, elements of mathematical logic, methods for developing the information systems, comparative analysis of information systems, informal analysis of information system were used.Results. …”
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DDL R-CNN: Dynamic Direction Learning R-CNN for Rotated Object Detection by Weixian Su, Donglin Jing

“…However, existing RS detectors and regression techniques have not been able to effectively balance the precision of directional feature extraction with the complexity of the models. To address these challenges, this paper introduces a novel approach known as Dynamic Direction Learning R-CNN (DDL R-CNN), which comprises a dynamic direction learning (DDL) module and a boundary center region offset generation network (BC-ROPN). …”
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Music-based interventions using digital technology for individuals with acquired brain injuries: a scoping review by Huiyuan Yu, Xin Lu, Soo Ji Kim

“…However, challenges were noted regarding device complexity, cost, and inconsistent assessment methods across studies.DiscussionDigital music-based interventions show substantial promise in enhancing motor and cognitive function for individuals with neurological impairments. …”
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A survey of perceptions and behavioural responses towards the COVID-19 pandemic in South Africa by Takana M. Silubonde, Catherine E. Draper, Shane A. Norris

“…Conclusion: This study highlights the complexity of government measures and vaccination adoption and the socioeconomic barriers affecting these. …”
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Exploiting question-answer framework with multi-GRU to detect adverse drug reaction on social media by Jiao-huang Luo, Ai-hua Yang

“…Therefore, the post-marketing detection of ADRs in a timely and accurate manner becomes imperative. Adding to the complexity, a multitude of tweets harbor concealed information about adverse drug reactions, creating difficulties due to their concise, sporadic, and noisy content. …”
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Encrypted traffic identification method based on deep residual capsule network with attention mechanism by Guozhen SHI, Kunyang LI, Yao LIU, Yongjian YANG

“…With the improvement of users’ security awareness and the development of encryption technology, encrypted traffic has become an important part of network traffic, and identifying encrypted traffic has become an important part of network traffic supervision.The encrypted traffic identification method based on the traditional deep learning model has problems such as poor effect and long model training time.To address these problems, the encrypted traffic identification method based on a deep residual capsule network (DRCN) was proposed.However, the original capsule network was stacked in the form of full connection, which lead to a small model coupling coefficient and it was impossible to build a deep network model.The DRCN model adopted the dynamic routing algorithm based on the three-dimensional convolutional algorithm (3DCNN) instead of the fully-connected dynamic routing algorithm, to reduce the parameters passed between each capsule layer, decrease the complexity of operations, and then build the deep capsule network to improve the accuracy and efficiency of recognition.The channel attention mechanism was introduced to assign different weights to different features, and then the influence of useless features on the recognition results was reduced.The introduction of the residual network into the capsule network layer and the construction of the residual capsule network module alleviated the gradient disappearance problem of the deep capsule network.In terms of data pre-processing, the first 784byte of the intercepted packets was converted into images as input of the DRCN model, to avoid manual feature extraction and reduce the labor cost of encrypted traffic recognition.The experimental results on the ISCXVPN2016 dataset show that the accuracy of the DRCN model is improved by 5.54% and the training time of the model is reduced by 232s compared with the BLSTM model with the best performance.In addition, the accuracy of the DRCN model reaches 94.3% on the small dataset.The above experimental results prove that the proposed recognition scheme has high recognition rate, good performance and applicability.…”
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Acute Myotonometric Changes in the Masseter and Upper Trapezius Muscles After Upper Body Quarter Stretching and Coordination Exercises or Chewing by Marša Magdič, Miloš Kalc, Matjaž Vogrin

“…These findings reveal the distinct effects of exercise and chewing on muscle properties, emphasising the complexity of their therapeutic potential and the need for further investigation.…”
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Analyzing Structural and Physical Changes and the Future of Tehran’s Urban Fringe (The Case: The Fringe of District 22 of Tehran Municipality) by Taher Parizadi, Ali Shamaei

“…Finding showed that before the formation of the district, in 1972, the urban fringe of the district, large-scale urban land uses such as sports, research-educational, recreational and military land use, as well as urban and residential complexes, established in agricultural and vacant lands.  …”
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Hypoglycemic activity of brown seaweed (Sargassum plagiophyllum) kombucha bioactive compound in rat model type-2 of diabetes by Priambodo Ahmad Faris, Martati Erryana, Firdaus Muhamad

“…The kombucha fermentation method is used to reduce structural complexity, thereby increasing the bioavailability of bioactives. …”
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Spherical sustainability in construction and demolition: How aligned are policies, goals, regulations, markets, and stakeholder mindsets? by Mohammad Amin Havaei, Hassan Malekitabar

“…Considering the growing complexity and variety in construction methods, bridging the gap between theoretical models and real-world practices has become essential. …”
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Big Data Cleaning Based on Improved CLOF and Random Forest for Distribution Networks by Jie Liu, Yijia Cao, Yong Li, Yixiu Guo, Wei Deng

“…Aiming at the diversity and complexity of data missing forms in power big data, this paper has improved the Random Forest imputation algorithm, which can be applied to various forms of missing data, especially the blocked missing data and even some completely missing horizontal or vertical data. …”
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Cohesive factors in Chubak's Short Story: Adl by Havva Hajeidi, Hossein Razavian

“…Chubak creates a simple, coherent prose without complexity, by using more grammatical cohesion elements, so there is not appeared any slightest meaning gap from start to the end of the story.…”
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Analisis rantai nilai dalam aspek lingkungan dan ekonomi menggunakan VCOR pada petani kopi di Malang by Imam Santoso, Miftahus Sa'adah, Izzum Wafi'uddin, Naila Maulidina Lu'ayya, Dodyk Pranowo, Retno Astuti

“…A value chain analysis in supply chain management is essential to support sustainable coffee agroindustry. The complexity of the coffee value chain involves multiple stakeholders, including input providers, producers, traders, cooperatives, and exporters, emphasizing the intricate nature of the coffee chain and the need for coordinated efforts to ensure quality and sustainability. …”
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