A novel method for the determination of organophosphorus pesticides in urine samples using a combined gas diffusion microextraction (GDME) and gas chromatography-mass spectrometry... by Mohammadreza Jafari, Ali Gholami, Maryam Akhgari

“…This study introduces a novel and sensitive method for determining organophosphorus pesticides in urine using Gas Diffusion Microextraction (GDME) combined with Gas Chromatography-Mass Spectrometry (GC–MS). …”
Get full text

The neuropathological basis of elevated serum neurofilament light following experimental concussion by John D. Arena, Douglas H. Smith, Ramon Diaz Arrastia, D. Kacy Cullen, Rui Xiao, Jiaxin Fan, Danielle C. Harris, Cillian E. Lynch, Victoria E. Johnson

Get full text

Onboard LiDAR–Camera Deployment Optimization for Pavement Marking Distress Fusion Detection by Ciyun Lin, Wenjian Sun, Ganghao Sun, Bown Gong, Hongchao Liu

“…Therefore, an onboard light detection and ranging (LiDAR) and camera deployment optimization method is proposed for pavement marking distress detection to adapt to complex traffic conditions, such as shadows and changing light. …”
Get full text

Magnetic resonance imaging and bone scintigraphy in bone metastasis detection: A comparative study by Lučić Silvija, Nikoletić Katarina, Peter Andrea, Lučić Miloš A., Jovanović Dušan

“…Advances in the bone scintigraphy (single photon emission tomography - SPECT, SPECTcomputed tomography - SPECT-CT) and MRI (whole body MRI, diffusion MRI), make it possible the diagnostic potential of both methods will result in a further improvement in bone metastasis detection.…”
Get full text

Detection and significance of human epidermal growth factor receptor 2 expression in gastric adenocarcinoma by Sutapa Halder, Debjani Mallick, Priyanka Mondal, Debajyoti Singha Roy, Aniket Halder, Sudipta Chakrabarti

“…Overexpression of HER2 is noted in 10%–22.8% of gastric adenocarcinoma and its identification is of immense importance for management by targeted drugs. Detection of HER2 expression in gastric malignancies has not been undertaken previously in the local population. …”
Get full text

How Implicit Sequence Learning and Explicit Sequence Knowledge Are Expressed in a Serial Response Time Task by Marius Barth, Christoph Stahl, Hilde Haider

“…In the past few decades, research into sequence learning largely focused on the type of representation that may underlie implicit sequence learning, and whether or not two independent learning systems are necessary to explain qualitative differences between implicit and explicit learning. Using the drift-diffusion model, here we take a cognitive-processes perspective on sequence learning and investigate the cognitive operations that benefit from implicit and explicit sequence learning (e.g., stimulus detection and encoding, response selection, and response execution). …”
Get full text

Beyond The Usual Suspects: Primary Breast Lymphoma Incidentally Detected With Routine Mammographic Screening by Thomas Wright MD, PhD, Jowan Al-Nusair MD, Reesha Bodiwala DO, Samhitha Gundakaram MBBS, Swapna Sirigireddy MBBS, Zakaria Alagha MBBCh, Saadia Haleema MD, Mahmoud Abdallah MD, Muhammad Omer Jamil MD

Get full text

Case Report: Improved hearing in a rare, adult IDH2-mutant brainstem astrocytoma successfully treated with radiation and temozolomide by Takuya Okada, Manabu Natsumeda, Manabu Natsumeda, Hidemoto Fujiwara, Nayuta Higa, Toshiaki Akahane, Yuki Watabe, Kaoru Tomikawa, Kyoka Nishita, Yoshihiro Tsukamoto, Shinsuke Ohshima, Arata Horii, Akihide Tanimoto, Ryosuke Hanaya, Hiroshi Shimizu, Akiyoshi Kakita, Makoto Oishi

“…Detection of 2HG by MRS and molecular analysis, including non-canonical IDH1/2 mutations, were helpful in determining treatment response in this adult brainstem glioma case. …”
Get full text

Phenotypic Detection of Extended Spectrum Beta-Lactamase (ESBL) Produced by Gram-Negative Uropathogens in Sokoto Metropolis by Nuhu Tanko *, Chado Jibril Baba, Olowookere Ahmed, Hussain Ungokore Yahaya, Nura Umar Muhammad

Get full text

The first-line therapy of aggressive non-Hodgkin’s lymphomas in russian clinical practice: data from the EQUILIBRIUM study by L. G. Babicheva, I. V. Poddubnaya

“…The group of aggressive non-Hodgkin’s lymphomas (aNHL), which is the subject of this article, included 295 patients with a median age of 55.9 years: diffuse B-large cell lymphoma – 87 %, primary mediastinal lymphoma – 11 %, Burkitt’s lymphoma – 1 %. …”
Get full text

Multi-Branch Network with Multi-Feature Enhancement for Improving the Generalization of Facial Forgery Detection by Siyu Meng, Quange Tan, Qianli Zhou, Rong Wang

“…The rapid development of deepfake facial technology has led to facial fraud, posing a significant threat to social security. With the advent of diffusion models, the realism of forged facial images has increased, making detection increasingly challenging. …”
Get full text

AI-ready rectal cancer MR imaging: a workflow for tumor detection and segmentation by Heather M. Selby, Yewon A. Son, Vipul R. Sheth, Todd H. Wagner, Erqi L. Pollom, Arden M. Morris

“…Objective This study aimed to foster collaboration between a radiologist and two data scientists in the detection and segmentation of rectal tumors on T2- and diffusion-weighted MR images. …”
Get full text

Detection and antibiotic resistance of diarrheagenic Escherichia coli from patients with diarrhea in Ulaanbaatar, Mongolia by Munkhdelger Yandag, Altansukh Tsend-Ayush, Nyamaa Gunregjav, Otgontsetseg Erdenebayar, Bayarlakh Byambadorj, Nishi Juniichiro, Sarantuya Jav

“…Results: DEC pathogens were detected in 53.7% of 341 E. coli isolates. Enteroaggregative E. coli (EAEC) was the most common DEC pathotype identified by HEp-2 adherence assay and multiplex PCR methods in 97 samples (28.4%), followed by atypical enteropathogenic E. coli (EPEC) in 50 samples (14.7%), diffusely adherent E. coli (DAEC) in 25 samples (7.3%), enterohaemorrhagic E. coli (EHEC) in 6 samples (1.8%), enterotoxigenic E. coli (ETEC) in 4 samples (1.2%), and enteroinvasive E. coli (EIEC) in 1 sample (0.3%). …”
Get full text

Channel impulse response insensitive feature for non-coherent signal detection in molecular communication by Limin XIAO, Xiangrong XU, Zhuangkun WEI, Shenghan LIU, Yiwen LIU

“…To solve the inter-symbol interference (ISI) and background noise challenges of molecular communication via diffusion (MCvD),four ISI-resistant signal-features were deployed,and a reliable non-coherent signal detection algorithm,which was insensitive to different types of molecular channel impulse response (CIR),was proposed.Also,an adaptive decision threshold and theoretical bound of bit error rate (BER) were deduced.Simulation results demonstrate a lower BER of the proposed non-coherent scheme compared to the state-of-the-art schemes in the same order of computational complexity,therefore suggesting its potential applications for future nano-scale MC.…”
Get full text

Performance Analysis of Data Augmentation Approaches for Improving Wrist-Based Fall Detection System by Yu-Chen Tu, Che-Yu Lin, Chien-Pin Liu, Chia-Tai Chan

“…In this study, we analyze different data augmentation methodologies to enhance the performance of wrist-based fall detection systems using deep learning technology. Based on the results, the conditional diffusion model is an ideal data augmentation approach, which improves the F1 score by 6.58% when trained with only 25% of the actual data, and the synthetic data maintains a high quality.…”
Get full text

A Mathematical Survey of Image Deep Edge Detection Algorithms: From Convolution to Attention by Gang Hu

“…Edge detection, a cornerstone of computer vision, identifies intensity discontinuities in images, enabling applications from object recognition to autonomous navigation. …”
Get full text

Evaluating normative representation learning in generative AI for robust anomaly detection in brain imaging by Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel

“…Traditional anomaly detection methods often evaluate the anomaly detection performance, overlooking the crucial role of normative learning. …”
Get full text

SHIELD: an evaluation benchmark for face spoofing and forgery detection with multimodal large language models by Yichen Shi, Yuhao Gao, Yingxin Lai, Hongyang Wang, Jun Feng, Lei He, Jun Wan, Changsheng Chen, Zitong Yu, Xiaochun Cao

“…For the face forgery detection task, we evaluate GAN-based and diffusion-based data, incorporating visual and acoustic modalities. …”
Get full text

Aluminum doped zinc oxide nanoplatelets based sensor with enhanced hydrogen sulfide detection by Brahim Ydir, Amine Ajdour, Iulia Antohe, Gabriel Socol, Marcela Socol, Luiza-Izabela Toderascu, Driss Saadaoui, Imade Choulli, Radouane Leghrib, Houda Lahlou

“…Notably, the 6% AZO samples exhibited an augmented selective sensitivity to H2S, demonstrating stable detection performance. Additionally, the significant improvement in detection capabilities can be attributed to the synergistic effects of electronic and chemical sensitization. …”
Get full text

Phenotypic detection of carbapenem-resistant Enterobacterales in clinical isolates at a tertiary care hospital by Astha Sinha, Mamta Gour, Riti Jain Seth

“…The aim of the study is to detect carbapenem-resistant Enterobacterales (CRE) in different clinical isolates and study carbapenemase production by phenotypic methods in CRE. …”
Get full text