Bird response to intercropping switchgrass within a loblolly pine plantation by Craig Marshall, Samuel K. Riffell, Darren A. Miller, JoVonn G. Hill, Kristine O. Evans, Scott A. Rush

“…ABSTRACT Global interest in alternative, renewable energy sources has led to the development of novel land‐use practices and techniques aimed at maximizing energy production while also minimizing environmental, economic, and societal costs. …”
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Unsustainable anthropogenic mortality threatens the long-term viability of lion populations in Mozambique. by João Almeida, Willem D Briers-Louw, Agostinho Jorge, Colleen Begg, Marnus Roodbol, Hans Bauer, Andrew Loveridge, Matthew Wijers, Rob Slotow, Peter Lindsey, Kristoffer Everatt, Holly Rosier, Sean Nazerali, Lizanne Roxburgh, Hugo Pereira, Mercia da Conceicao, Armindo Araman, Osvaldo J Abrao, Alison J Leslie, Franziska Steinbruch, Vincent N Naude, Samantha K Nicholson

“…Our findings suggest that resilience to anthropogenic threats is largely a function of lion population size as well as resource and management capacity. …”
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Rapid flips between warm and cold extremes in a warming world by Sijia Wu, Ming Luo, Gabriel Ngar-Cheung Lau, Wei Zhang, Lin Wang, Zhen Liu, Lijie Lin, Yijing Wang, Erjia Ge, Jianfeng Li, Yuanchao Fan, Yimin Chen, Weilin Liao, Xiaoyu Wang, Xiaocong Xu, Zhixin Qi, Ziwei Huang, Faith Ka Shun Chan, David Yongqin Chen, Xiaoping Liu, Tao Pei

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Optimal band selection and transfer in drone-based hyperspectral images for plant-level vegetable crops identification using statistical-swarm intelligence (SSI) hybrid algorithms by Anagha S. Sarma, Rama Rao Nidamanuri

“…Hyperspectral imagery from drones are excellent sources of high-resolution plant-level data that helps in efficient crop identification for smart agriculture practices. …”
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Simultaneous removal and optical determination of mercury ions by constructing fluorescent recombinant T. thermophila SB210 strains by Shu-Hui Zhao, Kai-Kang Hu, Jie Xiong, Jia-Wei Tu, Wei Miao

“…Removing and monitoring Hg2+ ions in the pollution sources based on microorganisms have the advantages of low cost and convenience. …”
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Evaluation of meningitis surveillance system in rural area, Rwanda by Solange Nyinawabeza, Jean Claude Niyoyita, Emmanuel Nshimiyimana, Jerome Ndayisenga, Angela Umutoni, Caroline Stamatakis

“…Data collected from clinical registers and eIDSR were used to assess core functions of the meningitis surveillance system including accuracy in detection of cases, laboratory confirmation of cases, and availability of evaluation reports. …”
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Neural Correlates of Changes in a Visual Search Task due to Cognitive Training in Seniors by Nele Wild-Wall, Michael Falkenstein, Patrick D. Gajewski

“…This study aimed to elucidate the underlying neural sources of near transfer after a multidomain cognitive training in older participants in a visual search task. …”
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Cost-Effective Photoacoustic Imaging Using High-Power Light-Emitting Diodes Driven by an Avalanche Oscillator by Alberto Prud’homme, Frederic Nabki

“…While lasers have traditionally been the light source for PAI, their high cost and complexity drive interest towards alternative sources like light-emitting diodes (LEDs). …”
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Two rare cases of severe community-acquired bloodstream infections: a clinical case report by Li-Na Meng, Gang Li

“…Detailed medical history inquiries, assessment of underlying immune status, detection of the source of infection, and initial precise identification and treatment of the infectious agents can improve the prognosis of CABSI.Case descriptionIn this paper, two incidences of severe CABSI with insidious onset and rapid progression are described. …”
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Profiling of rhizosphere-associated microbial communities in North Alabama soils infested with varied levels of reniform nematodes by Sowndarya Karapareddy, Varsha C. Anche, Sowjanya R. Tamatamu, Madhusudhana R. Janga, Kathy Lawrence, Leopold M. Nyochembeng, Antonette Todd, Lloyd T. Walker, Venkateswara R. Sripathi

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A comparative study of adrenalin and fluocinolon induced oxidative stress in male wistar rats by Erika KIS

“…In this study, we used electron paramagnetic resonance spectroscopy for the direct detection of free radical content in the organs of stressed Wistar rats. …”
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Validation of the inadequate delivery of oxygen index in an adult cardiovascular intensive care unitCentral MessagePerspective by Heather Holman, BS, Dimitar Baronov, PhD, Jeff McMurray, MD, Arman Kilic, MD, Marc Katz, MD, Sanford Zeigler, MD

“…Conclusions: The IDO2 index is capable of detecting SvO2 ≤50% with good discriminatory function in non-MCS CVICU patients in a variety of monitoring situations. …”
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Metaproteomics in the One Health framework for unraveling microbial effectors in microbiomes by Robert Heyer, Maximilian Wolf, Dirk Benndorf, Sergio Uzzau, Jana Seifert, Lucia Grenga, Martin Pabst, Heike Schmitt, Bart Mesuere, Tim Van Den Bossche, Sven-Bastiaan Haange, Nico Jehmlich, Mariagrazia Di Luca, Manuel Ferrer, Sergio Serrano-Villar, Jean Armengaud, Helge B. Bode, Patrick Hellwig, Catherine Robbe Masselot, Renaud Léonard, Paul Wilmes

“…Metaproteomics offers a novel methodological framework as it provides insights into microbial dynamics by quantifying microbial biomass composition, metabolic functions, and detecting effectors like viruses, antimicrobial resistance proteins, and non-ribosomal peptides. …”
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Lactylation: From Homeostasis to Pathological Implications and Therapeutic Strategies by Xi Chen, Yixiao Yuan, Fan Zhou, Lihua Li, Jun Pu, Yong Zeng, Xiulin Jiang

“…Moreover, we discuss advanced detection technologies and potential therapeutic interventions targeting lactylation pathways. …”
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The Role of Rivaroxaban in a Comprehensive Protection Strategy for Patients with Atrial Fibrillation by I. A. Zolotovskaya, V. D. Sabanova, I. L. Davydkin

“…Atrial fibrillation is often asymptomatic and timely detection of these patients can be one of the most important tasks in the complex of measures aimed at protecting patients from stroke. …”
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Fluxgate Magnetometers Based on New Physical Principles by Ivan V. Bryakin, Igor V. Bochkarev, Vadim R. Khramshin, Vadim R. Gasiyarov, Ivan N. Erdakov

“…The authors considered a generalized flow of the physical processes in the FM to obtain a detailed representation of the operating functions of the FM. The presented experimental results for the proposed FM in the field meter mode confirm its operating parameters (±40 μT—measurement range, 0.5 nT—detection threshold). …”
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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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Assessing the impact of a rare synonymous variant in the <i>KNG1</i> gene on the development of hereditary angioedema by N. A. Pechnikova, Yu. V. Ostankova, M. A. Saitgalina, A. M. Bebyakov, A. A. Totolian

“…The material was a whole blood sample obtained from a woman with clinical manifestations of hereditary angioedema without a decrease in the levels and function of the C1 inhibitor. The research methods included whole exome sequencing, bioinformatic analysis of the KNG1 gene mutation using a number of databases and web resources. …”
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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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Research on Behavior Recognition and Online Monitoring System for Liaoning Cashmere Goats Based on Deep Learning by Geng Chen, Zhiyu Yuan, Xinhui Luo, Jinxin Liang, Chunxin Wang

“…We improved YOLOv8n through dataset expansion, algorithm lightweighting, attention mechanism integration, and loss function optimization. Our improved model achieved the highest detection accuracy of 98.11% compared to other state-of-the-art (SOTA) target detection algorithms. …”
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