Wastewater metagenomics in Africa: Opportunities and challenges. by Stephen Kanyerezi, Fatma Zahra Guerfali, Abbas Abel Anzaku, Oluwasegun Adesina Babaleye, Tracey Calvert-Joshua, Julien Alban Nguinkal, Oluwaseun Paul Amoo, Chiraz Atri, Waqasuddin Khan, Iqra Saleh, M Imran Nisar, Arthur Shem Kasambula, Koketso Morapedi, Gerald Mboowa

“…The advent of metagenomics has dramatically expanded our understanding of microbial communities, particularly through the study of wastewater, which serves as a rich source of microbial data. In Africa, wastewater metagenomics presents unparalleled opportunities for public health monitoring, antimicrobial resistance (AMR) tracking, and the discovery of new microbial species and functions. …”
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A new fluorescent probe based on BODIPY for testing NO2 released from propellants by Ying-cui Cui, De-bin Xia, Zhong-yu Cui, Yu-jing Li, Jian Zhang, Ping Wang, Ting Guo, Kai-feng Lin, Yu-lin Yang

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Distance Conversion Factors for In Situ H-Field Emissions Tests by Jordi Sole-Lloveras, Yasutoshi Yoshioka, Manuel Anon-Cancela, Thilo Kootz, Ferran Silva, Marco A. Azpurua

“…An algorithm is developed to extract the H-field strengths normalized to the reference distance and then, through methods for optimal detection of changepoints, such a normalized curve is fitted to a piece-wise linear function that becomes the generalized distance conversion factor, presented in the form of simplified equations. …”
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MGSurvE: A framework to optimize trap placement for genetic surveillance of mosquito populations. by Héctor M Sánchez C, David L Smith, John M Marshall

“…For these projects, monitoring will be required to detect unintended spread of gene drive mosquitoes beyond field sites, and the emergence of alternative alleles, such as drive-resistant alleles or non-functional effector genes, within intervention sites. …”
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Prokaryotic microbial compositions and physicochemical characteristics of Huangshui, a by-product of Baijiu fermentation by TANG Yanping, GAO Xiubing, NI Jie, ZHANG Fengqin

“…In this study, the similarities and differences in physicochemical properties and prokaryotic microbial structures among different sources of Huangshui were comprehensively analyzed by physicochemical detection methods and high-throughput sequencing technology. …”
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From Lab to Life: Self‐Powered Sweat Sensors and Their Future in Personal Health Monitoring by Nan Gao, Guodong Xu, Gang Chang, Yuxiang Wu

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Are Supernovae Responsible for the Gamma Ray Spectrum from the Galactic Center? by Todor Stanev

“…We discuss the supernova remnants distribution as a function of the galactic longitude and compare their positions to that of the detected TeV gamma ray sources. …”
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Gallium oxide (Ga2O3) as a radiation detector distinguishing neutrons and gammas by D. J. Valdes, L. Rendon, J. Winkelbauer, P. Koehler, S. C. Vogel, K.-X. Sun

“…Gallium oxide (Ga2O3) is a promising ultrawide bandgap semiconductor for radiation detection with the potential of integrating electronic and scintillation functions within a single crystal device. …”
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Radiation diagnostics of the state of ventilation and pulmonary circulation in patients with COPD by O. S. Sementsov, S. V. Stepanenko

“…Also a promising area is the use of functional CT (inspiratory-expiratory CT) - which should improve the assessment of respiratory function, including early detection of patients with COPD, which will promote the in time start of specific treatment, reduce episodes of exacerbations during the disease, assess the dynamics of the pathological process and the effectiveness of treatment, as well as improving the prognosis of work and life expectancy of patients. …”
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Impact of health literacy in patients with chronic musculoskeletal disease--systematic review. by Yoon K Loke, Ina Hinz, Xia Wang, Gill Rowlands, David Scott, Charlotte Salter

“…The sample sizes may not have been sufficiently large to enable detection of significant associations.<h4>Conclusions</h4>The current evidence does not show a consistent association between low health literacy and poorer functional outcomes in patients with chronic musculoskeletal conditions. …”
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Simple fuzzy classification of metal qualities of Ona River, Ibadan, Nigeria, and its implication for fish production and other uses by Olayiwola Akin Akintola, Foluso Oyedotun Agunbiade, Tolulope Omolayo Ariyomo, Toju Esther Babalola, Bolaji Adelanke Adabembe, Oluwaseun Temitope Faloye, Opeyemi Samuel Sajo

“…The results revealed that the PTEs: Fe, Pb, Cd, Cr, and Mn were detected above guideline limits in several sampling points, indicating possible contamination from anthropogenic sources. …”
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Tracing the Earliest Stages of Star and Cluster Formation in 19 Nearby Galaxies with PHANGS-JWST and HST: Compact 3.3 μm Polycyclic Aromatic Hydrocarbon Emitters and Their Relation... by M. Jimena Rodríguez, Janice C. Lee, Remy Indebetouw, B. C. Whitmore, Daniel Maschmann, Thomas G. Williams, Rupali Chandar, A. T. Barnes, Oleg Y. Gnedin, Karin M. Sandstrom, Erik Rosolowsky, Adam K. Leroy, David A. Thilker, Hwihyun Kim, Jiayi Sun, Ralf S. Klessen, Brent Groves, Aida Wofford, Médéric Boquien, Daniel A. Dale, Leonardo Úbeda, Kirsten L. Larson, Kathryn Grasha, Kelsey E. Johnson, Rebecca C. Levy, Frank Bigiel, Hamid Hassani, Sumit K. Sarbadhicary

“…We establish a selection criteria based on a median color threshold of F300M − F335M = 0.67 at F335M = 20 and identify 1816 sources. These sources are predominantly located in dust lanes, spiral arms, rings, and galaxy centers, with ∼87% showing concentration indices (CIs) similar to optically detected star clusters. …”
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A metabolic profiling approach to characterize and discriminate plant-based beverages and milk by Gaia Meoni, Ingrid Sousa, Leonardo Tenori, Giovanni Niero, Marta Pozza, Massimo De Marchi, Carmen L. Manuelian

“…ABSTRACT: The rising demand for nondairy and nonanimal protein sources has increased plant-based beverages (PBB) consumption. …”
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Provenance-Finding of Dust Storms Using AVHRR Sensor Images of NOAA Satellite (Case Study: Southwest of Iran) by Mohammad Hossein Rezaei Moghaddam, Mojtaba Mahdian Boruojeni

“…Dust pollution of this area drawn to the south of Khuzestan. 4- Conclusion In general, using 24 AVHRR images and the use of detection techniques, a total 62 points were identified as the source of dust production. …”
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Weibull-Type Incubation Period and Time of Exposure Using <i>γ</i>-Divergence by Daisuke Yoneoka, Takayuki Kawashima, Yuta Tanoue, Shuhei Nomura, Akifumi Eguchi

“…Accurately determining the exposure time to an infectious pathogen, together with the corresponding incubation period, is vital for identifying infection sources and implementing targeted public health interventions. …”
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The burden of intracerebral hemorrhage attributable to ambient particulate matter pollution in five Asian countries: a 32-year comparative analysis by Rui Yang, Xingke Wang, Panpan Hao

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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. …”
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Modelling and Forecasting Energy Efficiency Impact on the Human Health by Yuliia Matvieieva, Hedy Ben Hamida

“…In the study framework, the VOSviewer 1.6.18 tools allowed the detection of six clusters of research streams: renewable resources, sustainable development, public, energy policy, energy efficiency, and solar energy. …”
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Preliminary Design of a GNSS Interference Mapping CubeSat Mission: JamSail by Luis Cormier, Tasneem Yousif, Samuel Thompson, Angel Arcia Gil, Nishanth Pushparaj, Paul Blunt, Chantal Cappelletti

“…First, a flexible, low-cost GNSS interference detection payload capable of characterising and geolocating the sources of radio interference regarding the E1/L1 and E5a/L5 bands will be demonstrated on a global scale. …”
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Double-moment normalization of hail size number distributions over Switzerland by A. Ferrone, J. Kopp, M. Lainer, M. Gabella, U. Germann, A. Berne

“…These results highlight the invariance of the normalized distribution and the adaptability of the method to different data sources.</p>…”
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