Nonmotor Symptoms Groups in Parkinson's Disease Patients: Results of a Pilot, Exploratory Study by Santiago Perez Lloret, Malco Rossi, Marcelo Merello, Olivier Rascol, Daniel P. Cardinali

“…Nonmotor symptoms (NMS) like neuropsychiatric symptoms, sleep disturbances or autonomic symptoms are a common feature of Parkinson's disease (PD). To explore the existence of groups of NMS and to relate them to PD characteristics, 71 idiopathic non-demented PD out-patients were recruited. …”
Get full text

Metric‐based pill recognition with the help of textual and visual cues by Richárd Rádli, Zsolt Vörösházi, László Czúni

“…The inference time on CPU and GPU makes the proposed model suitable for different kinds of applications in medical pill verification; moreover, the approach applies to other areas of object recognition where few‐shot problems arise. The proposed high‐level feature injection method (into a low‐level metric learning model) can also be exploited in other cases, where class features can be well described with textual or visual cues.…”
Get full text

Classification-augmented survival estimation (CASE): A novel method for individualized long-term survival prediction with application to liver transplantation. by Hamed Shourabizadeh, Dionne M Aleman, Louis-Martin Rousseau, Katina Zheng, Mamatha Bhat

“…Further, we develop novel temporal feature importance methods to understand how different features may vary in survival importance over time, potentially providing actionable insights in real-world survival problems.…”
Get full text

ICEEMDAN–VMD denoising method for enhanced magnetic memory detection signal of micro-defects by Shouhong Ji, Jie Yan, Yang Liu, Guojun He

“…When improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) is employed independently for signal denoising, the noise and feature signals of the transition components are retained or removed. …”
Get full text

Optic Disc and Optic Cup Segmentation for Glaucoma Detection from Blur Retinal Images Using Improved Mask-RCNN by Tahira Nazir, Aun Irtaza, Valery Starovoitov

Get full text

Frictions in Fiction. La rappresentazione dell’invecchiamento femminile nella serie televisiva Feud: Bette e Joan. by Antonella Mascio

“…The narrative modulation recalls the set of problems connected with sexism and misogyny, quite present in the film industry of the time. …”
Get full text

Prediction of Medium-Thick Plates Weld Penetration States in Cold Metal Transfer Plus Pulse Welding Based on Deep Learning Model by Yanli Song, Kang Song, Yipeng Peng, Lin Hua, Jue Lu, Xuanguo Wang

“…Squeeze-and-Excitation (SE) block was added after each Inception-ResNet block to further extract key feature information from weld pool images, increasing the weight of key features beneficial for predicting the penetration states. …”
Get full text

Children and youth leisure in the 1930s by the example of the cities of the Caucasian Mineral Waters by E. Yu. Oborskii

“…The sources highlight not only the facts about the events that have taken place, but also the desires and expectations of residents of resort cities in the future. Problems with leisure infrastructure and ways to solve them are analyzed. …”
Get full text

Real-time Prediction in Hands-free Computing for Disabled by Pradeep V

“…The current systems can only move the pointer in a slanting manner due to the user's accidental head movements losing the tracked feature. The movement has not yet allowed people with impairments the same chances as others to interact with computers. …”
Get full text

The Modelling of Historical Fact in A. Hudyma’s Novels in Verse by Valentyna Bilyats’ka

“…Hudyma’s novels in verse are unexplored despite the fact the scholars mentioned them in the context of problems (V. Bilyatska) and image (V. Bilyatska, L. …”
Get full text

VirtualFilter: A High-Performance Multimodal 3D Object Detection Method with Semantic Filtering by Mingcheng Qu, Ganlin Deng

“…Certainly, multimodal methods can also lead to many problems, the two main ones being the incomplete utilization of camera features and rough fusion methods. …”
Get full text

THE RESULTS OF THE STUDY OF TOPOGRAPHIC ANATOMY OF THYROID AND PARATHYROID GLANDS OF RAT by A. V. Ayusheeva, O. A. Goldberg, E. A. Iljicheva, S. A. Lepekhova, I. S. Kurganskiy, A. E. Akhmedov

Get full text

An Intelligent Prediction Method of the Karst Curtain Grouting Volume Based on Support Vector Machine by Jiandong Niu, Bin Wang, Haifa Wang, Zhiwei Deng, Jianxin Liu, Zewei Li, Guanjun Chen, Botao Zhang

“…Because of the concealment and complexity of the karst curtain grouting engineering, there is little research on the prediction of the karst curtain grouting volume (KCGV), and the prediction is hindered by the practical problems of small samples, high dimensions, and nonlinearity. …”
Get full text

Intelligent Fault Diagnosis Across Varying Working Conditions Using Triplex Transfer LSTM for Enhanced Generalization by Misbah Iqbal, Carman K. M. Lee, Kin Lok Keung, Zhonghao Zhao

“…Our proposed methodology uses empirical mode decomposition (EMD) to extract pertinent features from raw vibrational signals and utilizes Pearson correlation coefficients (PCC) for feature selection. …”
Get full text

Tea Disease Detection Method Based on Improved YOLOv8 in Complex Background by Junchen Ai, Yadong Li, Shengxiang Gao, Rongsheng Hu, Wengang Che

“…The model introduces the SSPDConv convolution module in the backbone of YOLOv8 to enhance the global information perception of the model under complex backgrounds; a new ESPPFCSPC module is proposed to replace the original spatial pyramid pool SPPF module, which optimizes the multi-scale feature expression; and the MPDIoU loss function is introduced to optimize the problem that the original CIoU is insensitive to the change of target size, and the positioning ability of small targets is improved. …”
Get full text

End-to-End CNN conceptual model for a biometric authentication mechanism for ATM machines by Karthikeyan Velayuthapandian, Natchiyar Murugan, Saranya Paramasivan

“…The multiscale attention mechanism in face recognition enhances feature extraction by applying convolution filters at various scales, allowing the network to capture detailed and global facial features. …”
Get full text

Uncovering Barriers to Maternal Mortality Audits: An Unseen Challenge by Salsabila Dinda Nuril Ishlahi, Metta Octora, Ratih Barirah, Ario Danianto

“…The results showed that the problems faced by the MPDSR team, including ineffective of MPDSR socialization, budget limitations of MPDSR activities, feature issues in the MPDN, the ratio between labor and workload was less than ideal, incomplete and delayed collection of maternal mortality data, lack of communication between MPDSR teams, health workers have not been trained in the data entry process, labor outside of medical supervision, no monitoring of maternal mortality cases in wards other than obgyn, health workers did not understand the ICD-10 code, the assessment was still conducted in a hybrid, not all maternal death cases were assessed, blaming culture, and suboptimal monitoring of the sustainability of MPDSR recommendation. …”
Get full text

Predicting adolescent violence in Wartegg-ZeichenTest drawing images based on deep learning by Kyung-yeul Kim, Young-bo Yang, Mi-ra Kim, Ji Su Park, Jihie Kim

“…This thesis deals with the problem of negative behaviour due to changes in mental and physical stress in adolescence. …”
Get full text

DIFFERENTIATION OF POLYNOMIALS IN SEVERAL VARIABLES OVER GALOIS FIELDS OF FUZZY CARDINALITY AND APPLICATIONS TO REED-MULLER CODES by V. M. Deundyak, N. S. Mogilevskaya

“…Polynomials in several variables over Galois fields provide the basis for the Reed-Muller coding theory, and are also used  in a number of cryptographic problems. The properties of such polynomials specified over the derived Galois fields of fuzzy cardinality are studied. …”
Get full text

An enhanced YOLOv8‐based bolt detection algorithm for transmission line by Guoxiang Hua, Huai Zhang, Chen Huang, Moji Pan, Jiyuan Yan, Haisen Zhao

“…Abstract The current bolt detection for overhead work robots used for transmission lines faces the problems of lightweight algorithms and high accuracy of target detection. …”
Get full text