Machine-Learning Models With Multiple Imputation With Sequential Nearest Neighbors Imputation for Predicting the Prognosis of Idiopathic Sudden Sensorineural Hearing Loss Patients.

Objectives: The prognosis of idiopathic sudden sensorineural hearing loss (ISSNHL) is heterogeneous. The study aimed to investigate the prognostic factors of ISSNHL and develop machine-learning models with multiple imputation to predict the prognosis of ISSNHL.

Design: A retrospective study was undertaken on a cohort of 600 patients with ISSNHL who underwent standardized treatment protocols.

A dataset of primary nasopharyngeal carcinoma MRI with multi-modalities segmentation.

Multi-modality magnetic resonance imaging(MRI) data facilitate the early diagnosis, tumor segmentation, and disease staging in the management of nasopharyngeal carcinoma (NPC). The lack of publicly available, comprehensive datasets limits advancements in diagnosis, treatment planning, and the development of machine learning algorithms for NPC. Addressing this critical need, we introduce the first comprehensive NPC MRI dataset, encompassing MR axial imaging of 277 primary NPC patients.

Sensorineural Hearing Loss Affects Functional Connectivity of the Auditory Cortex, Parahippocampal Gyrus and Inferior Prefrontal Gyrus in Tinnitus Patients.

Background: Tinnitus can interfere with a patient's speech discrimination, but whether tinnitus itself or the accompanying sensorineural hearing loss (SNHL) causes this interference is still unclear. We analyzed event-related electroencephalograms (EEGs) to observe auditory-related brain function and explore the possible effects of SNHL on auditory processing in tinnitus patients.

Methods: Speech discrimination scores (SDSs) were recorded in 21 healthy control subjects, 24 tinnitus patients, 24 SNHL patients, and 27 patients with both SNHL and tinnitus.

Identification of Small Berry Species in Food and Juice Using TaqMan-Based Real-Time PCR.

Public interest is growing for small berries in recent years because they are very delicious, low in energy, and full of bioactive compounds with potential health benefits. Similar to other food products, adulteration of small berry fruit products poses economic and safety problems to consumers. To protect consumers and regulate the small berry fruit products market, it is necessary to establish a robust method for detecting the authenticity.

Authentication of Small Berry Fruit in Fruit Products by DNA Barcoding Method.

Small berry fruit products are gaining an expanded market due to their high nutrition value. However, the authenticity of products is challenged by adulteration and mislabeling. To establish an accurate and robust method for identifying both known and unknown fruit species in small berry fruit products, DNA barcoding technology based on Sanger sequencing was adopted.

Molecular Tracing of the Origin of Six Different Plant Species in Bee Honey Using Real-Time PCR.

The quality of honey is significantly influenced by floral origin. Mislabeling floral species occurs frequently in bee honey products. To protect consumers from economic fraud and maintain a fair market environment, methods to identify floral species in honey are necessary.