A powerful molecular marker to detect mutations at sorghum LOW GERMINATION STIMULANT 1 by Adedayo O. Adeyanju, Patrick J. Rich, Gebisa Ejeta

“…We developed a robust polymerase chain reaction (PCR)‐based LGS1 marker that detects all known natural lgs1 alleles. We have successfully used this marker to improve Striga resistance in our sorghum breeding program. …”
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Optimized PCF architectures for THz detection of aquatic pathogens: Enhancing water quality monitoring. by Diponkar Kundu, Nasir Uddin Badhon, A H M Iftekharul Ferdous, Md Safiul Islam, Md Galib Hasan, Khalid Sifulla Noor, Most Momtahina Bani

“…These improvements improve the sensor's trace bacteria detection. These factors increase the sensor's aquatic germ detection when combined. …”
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Blood-detected mitochondrial biomarker NSUN4: a potential indicator of ovarian aging by Jianheng Hao, Liying Liu, Boya Chang, Yuemeng Zhao, Yuanyuan Lai, Chunhui Tian, Huichao Xu, Haijun Wang, Laixi Ji, Jie Yang

“…Conclusions: The findings suggest that NUSN4 levels detected in the blood could serve as a potential biomarker for ovarian aging. …”
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Detecting Vietnam War bomb craters in declassified historical KH-9 satellite imagery by Philipp Barthelme, Eoghan Darbyshire, Dominick V. Spracklen, Gary R. Watmough

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Novel transfer learning based acoustic feature engineering for scene fake audio detection by Ahmad Sami Al-Shamayleh, Hafsa Riasat, Ala Saleh Alluhaidan, Ali Raza, Sahar A. El-Rahman, Diaa Salama AbdElminaam

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DETECTION OF THE INFLUENCE OF TRANSCRANIAL ELECTROSTIMULATION ON THE STESS RESISTANCE OF STUDENTS BY THE TEST OF T. HOLMES AND R. RAHE by A. H. Kade, S. K. Achedzhak-Naguze, O. A. Tereschenko

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Association of Intensive Endoscopic Burden with Esophageal Cancer Detection: A Nationwide Cohort Study by Yeunji Lee, Eunyoung Lee, Bumhee Park, Gil Ho Lee, Sun Gyo Lim, Sung Jae Shin, Choong-Kyun Noh, Kee Myung Lee

“…This study evaluated the association between the number of endoscopic screenings and EC detection rates in a nationwide cohort. Methods: This retrospective population-based study used the Korean National Cancer Screening Program database, comprising 32,774,742 males and females aged ≥40 years between 2015 and 2019. …”
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Glaucoma detection and staging from visual field images using machine learning techniques. by Nahida Akter, Jack Gordon, Sherry Li, Mikki Poon, Stuart Perry, John Fletcher, Thomas Chan, Andrew White, Maitreyee Roy

“…This automated DL model will assist clinicians in precision glaucoma detection and progression management during extensive glaucoma screening.…”
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The epiMelanoma test enables plasma-based detection of melanoma and prediction of immunotherapy response by Olivia Dumas, Nicholas Rozza, David Cheishvili, Sharon Luk, Sarah T. K. Sin, Alua Khassenova, Richard Kremer, Moshe Szyf, Catalin Mihalcioiu, Shafaat A. Rabbani

“…Abstract Background Melanoma is one of the most serious skin cancers worldwide, often progressing without obvious symptoms. Early detection is crucial to enable timely intervention, reducing morbidity and mortality. …”
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Insights into the detection of AMPA cross-reactivity: comparing cyclic peptide- to protein-based assays by Roxane Biersteker, Aegli Athanasiadou, Stef van der Meulen, Tineke J. van Wesemael, Linda M. Slot, Theresa Kissel, René E. M. Toes, Leendert A. Trouw, Diane van der Woude

“…AMPAs exhibit significant cross-reactivity towards multiple PTMs, and increased cross-reactivity before disease onset may serve as a biomarker of disease progression. However, the impact of antigen backbone variations on cross-reactivity detection remains unclear. …”
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Detection of Alzheimer Disease in Neuroimages Using Vision Transformers: Systematic Review and Meta-Analysis by Vivens Mubonanyikuzo, Hongjie Yan, Temitope Emmanuel Komolafe, Liang Zhou, Tao Wu, Nizhuan Wang

“… BackgroundAlzheimer disease (AD) is a progressive condition characterized by cognitive decline and memory loss. …”
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Detection of Plantaricin-Encoding Gene and Its Partial Purification in Lactobacillus plantarum BP102 by Elsa Mega Suryani, Yoga Dwi Jatmiko, Irfan Mustafa

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Evaluation of Four Rapid Tests for Detection of Hepatitis B Surface Antigen in Ivory Coast by Bamory Dembele, Roseline Affi-Aboli, Mathieu Kabran, Daouda Sevede, Vanessa Goha, Aimé Cézaire Adiko, Rodrigue Kouamé, Emile Allah-Kouadio, Andre Inwoley

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Advanced analytical and digital approaches for proactive detection of food fraud as an emerging contaminant threat by Ahmed S. El-tahlawy, Abdullah S. Alawam, Hassan A. Rudayn, Ahmed A. Allam, Rehab Mahmoud, Hany Abd El-Raheem, Waleed Alahmad

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Assessing acoustic receiver detection efficiency using autocorrelation adjusted machine learning models by Devon A. Smith, James A. Crossman, Eduardo G. Martins

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Abnormal Operation Detection of Automated Orchard Irrigation System Actuators by Power Consumption Level by Shahriar Ahmed, Md Nasim Reza, Md Rejaul Karim, Hongbin Jin, Heetae Kim, Sun-Ok Chung

“…The proposed approach effectively detects actuator malfunctions, demonstrating the potential to enhance irrigation management and crop productivity. …”
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Spectroscopic detection of cotton Verticillium wilt by spectral feature selection and machine learning methods by Weinan Li, Weinan Li, Weinan Li, Lisen Liu, Jianing Li, Weiguang Yang, Weiguang Yang, Yang Guo, Yang Guo, Longyu Huang, Longyu Huang, Zhaoen Yang, Jun Peng, Jun Peng, Xiuliang Jin, Xiuliang Jin, Yubin Lan, Yubin Lan

“…Initial analysis identified critical spectral reflectance bands, wavelet coefficients, and SIs that exhibited dynamic responses as the disease progressed.ResultsModel validation demonstrated that the incidence detection models at the leaf scale achieved a peak classification accuracy of 85.83%, which is about 10% higher than traditional methods without feature selection. …”
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Computer Vision With Explainable Artificial Intelligence for Visual Pollution Detection in the Kingdom of Saudi Arabia by Alanoud Al Mazroa, Mohammed Maray, Abdullah M. Alashjaee, Faiz Abdullah Alotaibi, Ahmad A. Alzahrani, Abdulwhab Alkharashi, Shoayee Dlaim Alotaibi, Mrim M. Alnfiai

“…Building automated pollutants or pollution detection methods became progressively popular owing to the present growth of improved artificial intelligence methods. …”
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Surveillance of anthelmintic treatments on ruminant farms to detect resistance in a low-prevalence area by Rosa D’Ambrosio, Loredana Baldi, Stefania Cavallo, Alessandro Nappa, Luigia Di Donato, Roberta Brunetti, Mirella Santaniello, Antonella Pesce, Marialuisa Buonanno, Laura Rinaldi, Antonio Bosco

“…Abstract Background Difficulty in combating gastrointestinal nematode (GIN) infection in ruminants is increasing worldwide, owing to progressive anthelmintic resistance (AR). This study evaluates the AR current status against benzimidazoles and macrocyclic lactones on 20 sheep and 10 cattle farms in southern Italy that have performed a greater number of anthelmintic treatments in recent years. …”
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Diagnostic Value of Combined Detection of Serum TTR, PP13 and PLGF in Preeclampsia Patients by Ying Jiang, Caifeng Deng, Xuehua Cheng, Xiaofeng Chen

“…Serum TTR, PP13, PLGF levels in preeclampsia patients were negatively correlated with the disease progression (r = –0.332, –0.315, –0.391, p < 0.05). …”
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