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  1. 1621

    Comparing soil microbial diversity in smallholder plantain backyard gardens and main farms in Western and Central Africa by Manoj Kaushal, Yao Adjiguita Kolombia, Amos Emitati Alakonya, Cargele Masso

    Published 2025-08-01
    “…Beneficial genera such as Bacillus, Streptomyces, Bradyrhizobium, and Paenibacillus were also detected. Functional predictions based on COG and KEGG databases indicated notable differences in microbial functional potential between the two settings. …”
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  2. 1622

    Much More Than the Malady: The Promise of a Web-Based Digital Platform Incorporating Self-Report for Research and Clinical Care in Mild Cognitive Impairment by Andrew McGarry, MD, Oliver Roesler, PhD, Jackson Liscombe, PhD, Michael Neumann, PhD, Hardik Kothare, PhD, Abhishek Hosamath, MBM, Lakshmi Arbatti, MS, Anusha Badathala, MD, Stephen Ruhmel, BS, MPH, Bryan J. Hansen, PhD, Madeline Quall, BA, Sandrine Istas, MBio, Arthur Wallace, MD, PhD, David Suendermann-Oeft, PhD, Vikram Ramanarayanan, PhD, Ira Shoulson, MD

    Published 2025-06-01
    “…A complementary approach using digital biomarkers to surpass exam-based limitations for detecting physical change coupled with a direct report from participants on what their sources of suffering are could be a useful advance in reporting beneficial effects of interventions, particularly if changes track together. …”
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  3. 1623

    Exploration of the interaction between antimicrobial peptides and gamma radiation for biosensor development. by Fabiane Modenese Garbim, Marcela Rabelo De Lima, Giulianna Santos Pereira, João Nilton Conceição Bandeira, Álvaro José Mendes-Boareto, Fernando Manuel Araújo-Moreira, N.F.G. Serrano

    Published 2025-06-01
    “…These findings indicate that, although AMPs demonstrate changes in activity as a function of dose and could be explored for biosensing, their functional stability is limited at higher radiation doses. …”
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    Article
  4. 1624

    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

    Published 2025-01-01
    “…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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  5. 1625

    A novel deep learning technique for multi classify Alzheimer disease: hyperparameter optimization technique by A. S. Elmotelb, Fayroz F. Sherif, A. S. Abohamama, A. S. Abohamama, Mahmoud Fakhr, Amr M. Abdelatif

    Published 2025-04-01
    “…A progressive brain disease that affects memory and cognitive function is Alzheimer’s disease (AD). To put therapies in place that potentially slow the progression of AD, early diagnosis and detection are essential. …”
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    Article
  6. 1626

    Cloning, expression of carboxylesterase BioH and improvement of its hydrolysis activity by directed evolution by XU Hongna, YU Hongwei

    Published 2013-11-01
    “…And its thermostability was detected after the enzyme was incubated at 60℃ for 40 min. …”
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  7. 1627

    Milk phenomics: leveraging biological bonds with blood and infrared technologies for evaluating animal nutritional and health status by Diana Giannuzzi, Chiara Evangelista, Angela Costa, Giuseppe Conte, Gianluca Neglia, Umberto Bernabucci, Stefano Schiavon, Marcello Mele, Alessio Cecchinato

    Published 2024-12-01
    “…Indeed, monitoring the nutritional and health status becomes paramount, aiming for an early detection of (sub)clinical health impairments. Given the mammary gland’s centrality in high-yielding dairy breeds, it’s unsurprising that the milk matrix provides insights about udder itself but also systemic metabolic function. …”
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  8. 1628
  9. 1629

    Structural Repetition Detector for multi-scale quantitative mapping of molecular complexes through microscopy by Afonso Mendes, Bruno M. Saraiva, Guillaume Jacquemet, João I. Mamede, Christophe Leterrier, Ricardo Henriques

    Published 2025-07-01
    “…Understanding these structures provides insights into their functional roles. While super-resolution microscopy can visualise such patterns, manual detection in large datasets is challenging and biased. …”
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  10. 1630

    GENERATION AND COLLECTION OF TOBACCO AEROSOL FOR SHISHA by N. N. Bubnova, M. V. Shkidyuk

    Published 2020-11-01
    “…Qualitative characteristics of tobacco aerosol for shisha are determined by the functional purpose and depend on the component composition of the tobacco mixture and the coal used.The purpose of the research is to develop a methodology for the comprehensive assessment of tobacco for shisha based on modern methods of product quality control and includes the following steps:- monitoring of the studies to determine the component composition of the hookah mixture and the aerosol produced;- analysis of hookah mixture testing modes and development of an aerosol generation protocol;- development of a method for collecting aerosol on a laboratory smoking machine; - quantitative analysis of toxic analytes by HPLC MS / MS method.Methods have been developed for the machine generation and collection of tobacco aerosol for hookah, taking into account low concentrations of the analyzed toxic substances.The expediency of using the HPLC MS / MS method to determine the quantity of the following substances in tobacco aerosol for shisha has been substantiated:- carbonyl compounds (formaldehyde, acetaldehyde, acrolein) by detection on an electrospray source in the negative polarity mode- tobacco specific nitrosoamines (NNN and NNK) by detection on an electrospray source in the positive polarity mode.During the research laboratory and analytical equipment was used: a five-channel linear CERULEAN SM 405 smoking machine; Thermo Scientific Dionex UltiMate 3000 liquid chromatograph and TSQ Quantiva mass spectrometer.Obtaining experimental data on the quantitative determination of the component composition of the aerosol produced by tobacco for shisha using hookah systems is relevant for assessing toxic characteristics of the product.…”
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  11. 1631

    Risks as an object of internal control: identification and assessment by М.М., I.I.

    Published 2021-08-01
    “…The main purpose of internal control is to ensure timely detection and analysis of business risk, reliability of relevant information, integrity of assets, compliance with regulations, internal policies and procedures, implementation of plans and efficient use of resources. …”
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  12. 1632

    Pediatric Adenotonsillectomy Trial for Snoring (PATS): protocol for a randomised controlled trial to evaluate the effect of adenotonsillectomy in treating mild obstructive sleep-di... by Rui Wang, Jessie P. Bakker, Ronald D. Chervin, Susan L. Garetz, Fauziya Hassan, Stacey L. Ishman, Ron B. Mitchell, Michael G. Morrical, Syed K. Naqvi, Jerilynn Radcliffe, Emily I. Riggan, Carol L. Rosen, Kristie Ross, Michael Rueschman, Ignacio E. Tapia, H. Gerry Taylor, David A. Zopf

    Published 2020-03-01
    “…The study’s coprimary endpoints are (1) change from baseline in executive behaviour relating to self-regulation and organisation skills as measured by the Behavioural Rating Inventory of Executive Function (BRIEF) Global Composite Score (GEC); and (2) change from baseline in vigilance as measured on the Go-No-Go (GNG) signal detection parameter (d-prime). …”
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  13. 1633

    Self-Supervised Learning to Unveil Brain Dysfunctional Signatures in Brain Disorders: Methods and Applications by Ying Li, Yanwu Yang, Yuchu Chen, Chenfei Ye, Ting Ma

    Published 2025-01-01
    “…Critically, we highlight the potential of SSL in addressing data scarcity, multimodal integration, and dynamic network modeling for disease detection and prediction. We showcase successful applications of these techniques in understanding and classifying conditions such as Alzheimer’s disease, Parkinson’s disease, and epilepsy, demonstrating their potential in downstream neuropsychological applications. …”
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  14. 1634

    BIOINFORMATICS — INSTRUMENT INTERPRETATION PROTEOMIC PROFILES OF MEAT PROTEIN by N. L. Vostrikova, I. M. Chernukha

    Published 2017-04-01
    “…Studies in this field have enabled formulating and significantly expanding the approaches to the identification and quantification of protein markers of quality, functionality and safety of meat raw material (detection of falsification) in the finished meat products. …”
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  15. 1635

    Emerging Diagnostic Approaches for Musculoskeletal Disorders: Advances in Imaging, Biomarkers, and Clinical Assessment by Rahul Kumar, Kiran Marla, Kyle Sporn, Phani Paladugu, Akshay Khanna, Chirag Gowda, Alex Ngo, Ethan Waisberg, Ram Jagadeesan, Alireza Tavakkoli

    Published 2025-06-01
    “…Point-of-care ultrasound and portable diagnostic devices have expanded real-time imaging and functional assessment capabilities across diverse clinical settings. …”
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    Article
  16. 1636

    Immunoexpression of tumor suppressor genes p53, p21WAF1/CIP1 and p27KIP1 in humam astrocystic tumors Imuno-expressão dos genes supressores tumorais p53, p21WAF1/CIP1 e p27KIP1 em t... by Mário Henrique Girão Faria, Régia Maria do Socorro Vidal do Patrocínio, Manoel Odorico de Moraes Filho, Silvia Helena Barem Rabenhorst

    Published 2007-12-01
    “…These results indicated the p53 mutation as an initial, relevant and potentially predictor of tumor progression event in astrocytomas, with the detection of p21 protein as an important resource for the deduction of functional situation of this gene. …”
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  17. 1637

    Improved Accuracy of the 3D Measurement Method Utilizing Differential Modulation Based on Multi-Color Channel Fusion by Lei Liu, Xusheng Zhu, Hexiang Zhou, Long Xu, Xinming Zhou, Wei Liu

    Published 2025-02-01
    “…The traditional structured light illumination measurement method usually utilizes peak detection and curve fitting to extract the target position of the modulation curve, while the modulation function is extremely insensitive to the variation of the peak position with height, which leads to the inability to further improve the measurement accuracy. …”
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  18. 1638
  19. 1639

    Gait-based Parkinson’s disease diagnosis and severity classification using force sensors and machine learning by Navita, Pooja Mittal, Yogesh Kumar Sharma, Anjani Kumar Rai, Sarita Simaiya, Umesh Kumar Lilhore, Vimal Kumar

    Published 2025-01-01
    “…The results indicate that the proposed dual-stage model is exceptionally successful in the early detection and severity assessment of Parkinson’s disease and demonstrates better efficacy than alternative models.…”
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  20. 1640