Improving nutritional status is fundamental to addressing challenges in child health in low- and middle-income countries (LMICs) and a priority for international organisations such as the United Nations Children's Fund (UNICEF) and the World Health Organisation (WHO). Despite the global consensus that child growth is a key indicator of child nutrition and health, the development of low-cost, accurate and child-friendly growth measurement devices that are fit for purpose in LMICs remains elusive. Recognising these limitations, UNICEF recently published a Target Product Profile (TPP) calling for the development of new state-of-the-art height and length measurement devices. The purpose of this review was to examine current growth measurement devices in relation to this UNICEF TPP requirement and set the stage for the development of new devices. The findings show that there is a gap in the product market for accurate portable length and height measurement devices. In particular, our review indicates that devices in current use generally lack capabilities for automated data recording and transfer of data to a central database, and are often not child-friendly. We conclude that future innovations in length and height measurement devices should focus on addressing these issues.
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http://dx.doi.org/10.1080/03091902.2021.1946181 | DOI Listing |
Surg Endosc
January 2025
Clinica Chirurgica, Department of Experimental and Clinical Medicine, Section of Surgical Sciences, Polytechnic University of Marche, Ancona, Italy.
Introduction: Altered vascular microcirculation is recognized as a risk factor for anastomotic leakage (AL) in colorectal surgery. However, few studies evaluated its impact on AL using different devices, with heterogeneous results. The present study reported the initial experience measuring gut microcirculatory density and flow with the aid of incidence dark-field (IDF) videomicroscopy (Cytocam, Braedius, Amsterdam, The Netherlands) comparing its operative outcome using a propensity score matching (PSM) model based on age, gender, and Charlson Comorbidity Index (CCI).
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January 2025
Department of Artificial Intelligence and Data Science, College of Computer Science and Engineering, University of Hail, Hail, Saudi Arabia.
In the present digital scenario, the explosion of Internet of Things (IoT) devices makes massive volumes of high-dimensional data, presenting significant data and privacy security challenges. As IoT networks enlarge, certifying sensitive data privacy while still employing data analytics authority is vital. In the period of big data, statistical learning has seen fast progressions in methodological practical and innovation applications.
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January 2025
Center for Advanced Laser Technologies (CETAL), National Institute for Lasers, Plasma and Radiation Physics, Magurele-Ilfov, 077125, Romania.
Nature offers unique examples that help humans produce artificial systems which mimic specific functions of living organisms and provide solutions to complex technical problems of the modern world. For example, the development of 3D micro-nanostructures that mimic nocturnal insect eyes (optimized for night vision), emerges as promising technology for detection in IR spectral region. Here, we report a proof of principle concerning the design and laser 3D printing of all ultrastructural details of nocturnal moth Grapholita Funebrana eyes, for potential use as microlens arrays for IR detection systems.
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January 2025
Department of Chemistry, School of Advanced Sciences, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.
This study investigates the potential of zinc oxide (ZnO) and Ag-doped zinc oxide (Ag-ZnO) nanoparticles (NPs) (1, 3 and 5 wt%) electrospun into poly(vinylidene fluoride) (PVDF) based triboelectric nanogenerators (TENGs) to harness electrical energy from ambient mechanical vibrations. ZnO and Ag-ZnO NPs were developed using a co-precipitation method. 3 wt% Ag-ZnO doping was optimized to exhibit a higher β-crystalline phase in PVDF (PAZ3).
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January 2025
Institute for Disaster Management and Reconstruction, Sichuan University, No. 122, Section 1, Huanghe Middle Road, Chengdu, 610211, China.
In the early days of the urban pandemic, many cities had personal protective equipment (PPE) shortages, which adversely affected urban pandemic governance. Using the COVID-19 strategies employed in Wuhan as the pivotal case study, this study sought to determine effective strategies to optimize city PPE distribution. System dynamics modeling was employed to explore the influence of PPE allocation strategies on pandemic control measures.
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