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173 Results Found

  • Article
  • Open Access
2,078 Views
24 Pages

Rhythm-Based Attention Analysis: A Comprehensive Model for Music Hierarchy

  • Fangzhen Zhu,
  • Changhao Wu,
  • Qike Huang,
  • Na Zhu and
  • Tuo Leng

29 May 2025

Deciphering the structural hierarchy of musical compositions is indispensable for a range of music analysis applications, encompassing feature extraction, data compression, interpretation, and visualization. In this paper, we introduce a quantitative...

  • Article
  • Open Access
4 Citations
4,250 Views
9 Pages

Deep-Learning-Based Detection of Paroxysmal Supraventricular Tachycardia Using Sinus-Rhythm Electrocardiograms

  • Lei Wang,
  • Shipeng Dang,
  • Shuangxiong Chen,
  • Jin-Yu Sun,
  • Ru-Xing Wang and
  • Feng Pan

5 August 2022

Background: Paroxysmal supraventricular tachycardia (PSVT) is a common arrhythmia associated with palpitation and a decline in quality of life. However, it is undetectable with sinus-rhythmic ECGs when patients are not in the symptomatic onset stage....

  • Article
  • Open Access
10 Citations
2,789 Views
18 Pages

Sudden cardiac arrest (SCA) is one of the global health issues causing high mortality. Hence, timely and agile detection of such arrests and immediate defibrillation support to SCA victims is of the utmost importance. An automated external defibrilla...

  • Article
  • Open Access
5 Citations
3,729 Views
10 Pages

Automated Atrial Fibrillation Diagnosis by Echocardiography without ECG: Accuracy and Applications of a New Deep Learning Approach

  • Nelson Lu,
  • Hooman Vaseli,
  • Mobina Mahdavi,
  • Fatemah Taheri Dezaki,
  • Christina Luong,
  • Darwin Yeung,
  • Ken Gin,
  • Michael Tsang,
  • Parvathy Nair and
  • Teresa S. M. Tsang
  • + 4 authors

9 February 2024

Background: Automated rhythm detection on echocardiography through artificial intelligence (AI) has yet to be fully realized. We propose an AI model trained to identify atrial fibrillation (AF) using apical 4-chamber (AP4) cines without requiring ele...

  • Article
  • Open Access
78 Citations
12,747 Views
19 Pages

26 August 2017

In the new-generation wearable Electrocardiogram (ECG) system, signal processing with low power consumption is required to transmit data when detecting dangerous rhythms and to record signals when detecting abnormal rhythms. The QRS complex is a comb...

  • Review
  • Open Access
6 Citations
8,817 Views
15 Pages

3 November 2022

Sudden Cardiac Arrest (SCA) is one of the leading causes of death worldwide. Therefore, timely and accurate detection of such arrests and immediate defibrillation support for the victim is critical. An automated external defibrillator (AED) is a medi...

  • Article
  • Open Access
30 Citations
6,482 Views
14 Pages

Automated Detection of Paroxysmal Atrial Fibrillation Using an Information-Based Similarity Approach

  • Xingran Cui,
  • Emily Chang,
  • Wen-Hung Yang,
  • Bernard C. Jiang,
  • Albert C. Yang and
  • Chung-Kang Peng

10 December 2017

Atrial fibrillation (AF) is an abnormal rhythm of the heart, which can increase heart-related complications. Paroxysmal AF episodes occur intermittently with varying duration. Human-based diagnosis of paroxysmal AF with a longer-term electrocardiogra...

  • Article
  • Open Access
21 Citations
8,110 Views
12 Pages

Novel Fingertip Image-Based Heart Rate Detection Methods for a Smartphone

  • Rifat Zaman,
  • Chae Ho Cho,
  • Konrad Hartmann-Vaccarezza,
  • Tra Nguyen Phan,
  • Gwonchan Yoon and
  • Jo Woon Chong

12 February 2017

We hypothesize that our fingertip image-based heart rate detection methods using smartphone reliably detect the heart rhythm and rate of subjects. We propose fingertip curve line movement-based and fingertip image intensity-based detection methods, w...

  • Article
  • Open Access
6 Citations
6,350 Views
18 Pages

7 December 2022

Neural entrainment to musical rhythm is thought to underlie the perception and production of music. In aging populations, the strength of neural entrainment to rhythm has been found to be attenuated, particularly during attentive listening to auditor...

  • Article
  • Open Access
17 Citations
6,248 Views
19 Pages

Advanced Time-Frequency Methods for ECG Waves Recognition

  • Ala’a Zyout,
  • Hiam Alquran,
  • Wan Azani Mustafa and
  • Ali Mohammad Alqudah

ECG wave recognition is one of the new topics where only one of the ECG beat waves (P-QRS-T) was used to detect heart diseases. Normal, tachycardia, and bradycardia heart rhythm are hard to detect using either time-domain or frequency-domain features...

  • Article
  • Open Access
1 Citations
2,572 Views
19 Pages

Novel Insights into the Circadian Rhythms Based on Long Noncoding and Circular RNA Profiling

  • Xiaodong Tan,
  • Jiawen Zhang,
  • Jie Dong,
  • Minjie Huang,
  • Zhenzhen Zhou and
  • Deqian Wang

18 January 2024

Circadian rhythm disorders pose major risks to human health and animal production activity, and the hypothalamus is the center of circadian rhythm regulation. However, the epigenetic regulation of circadian rhythm based on farm animal models has been...

  • Article
  • Open Access
1 Citations
1,724 Views
24 Pages

6 August 2024

Pansori, a traditional Korean form of musical storytelling, is characterized by performances involving a vocalist and a drummer. It is well-known for the singer’s expressive narrative (aniri) and delicate gesture with fan in hand. The classical...

  • Article
  • Open Access
62 Citations
10,389 Views
21 Pages

7 September 2015

This work introduces for the first time the application of wavelet entropy (WE) to detect episodes of the most common cardiac arrhythmia, atrial fibrillation (AF), automatically from the electrocardiogram (ECG). Given that AF is often asymptomatic an...

  • Article
  • Open Access
32 Citations
4,289 Views
35 Pages

Application of Dense Neural Networks for Detection of Atrial Fibrillation and Ranking of Augmented ECG Feature Set

  • Vessela Krasteva,
  • Ivaylo Christov,
  • Stefan Naydenov,
  • Todor Stoyanov and
  • Irena Jekova

15 October 2021

Considering the significant burden to patients and healthcare systems globally related to atrial fibrillation (AF) complications, the early AF diagnosis is of crucial importance. In the view of prominent perspectives for fast and accurate point-of-ca...

  • Article
  • Open Access
5 Citations
3,947 Views
16 Pages

Smartwatch User Authentication by Sensing Tapping Rhythms and Using One-Class DBSCAN

  • Hanqi Zhang,
  • Xi Xiao,
  • Shiguang Ni,
  • Changsheng Dou,
  • Wei Zhou and
  • Shutao Xia

2 April 2021

As important sensors in smart sensing systems, smartwatches are becoming more and more popular. Authentication can help protect the security and privacy of users. In addition to the classic authentication methods, behavioral factors can be used as ro...

  • Article
  • Open Access
1 Citations
1,026 Views
32 Pages

24 August 2025

Ventricular arrhythmias such as ventricular fibrillation (VF) and ventricular tachycardia (VT) are among the leading causes of sudden cardiac death worldwide, making their timely and accurate detection a critical task in modern cardiology. This study...

  • Article
  • Open Access
8 Citations
3,315 Views
21 Pages

Differential Response of MYB Transcription Factor Gene Transcripts to Circadian Rhythm in Tea Plants (Camellia sinensis)

  • Zhihang Hu,
  • Nan Zhang,
  • Zhiyuan Qin,
  • Jinwen Li,
  • Ni Yang,
  • Yi Chen,
  • Jieyu Kong,
  • Wei Luo,
  • Aisheng Xiong and
  • Jing Zhuang

The circadian clock refers to the formation of a certain rule in the long-term evolution of an organism, which is an invisible ‘clock’ in the body of an organism. As one of the largest TF families in higher plants, the MYB transcription f...

  • Review
  • Open Access
150 Views
14 Pages

17 January 2026

Background and Objectives: Subclinical paroxysmal atrial fibrillation (AF) is often undetected by conventional screening strategies, until complications emerge. Artificial intelligence (AI) applied to sinus rhythm electrocardiograms has emerged as a...

  • Article
  • Open Access
24 Citations
3,794 Views
17 Pages

The fatigue of air traffic controllers (ATCOs) on duty seriously threatens air traffic safety and needs to be managed. ATCOs perform several different types of work, with each type of work having different characteristics. Nonetheless, the influence...

  • Article
  • Open Access
1 Citations
1,632 Views
15 Pages

The Circadian Rhythm of Intracellular Protoporphyrin IX Accumulation Through Heme Synthesis Pathway in Bladder Urothelial Cancer Cells Exposed to 5-Aminolevulinic Acid

  • Nobutaka Nishimura,
  • Makito Miyake,
  • Sayuri Onishi,
  • Mitsuru Tomizawa,
  • Takuto Shimizu,
  • Kenta Onishi,
  • Shunta Hori,
  • Yosuke Morizawa,
  • Daisuke Gotoh and
  • Kiyohide Fujimoto
  • + 2 authors

8 December 2024

Background/Objectives: The standard recommendation for patients with non-muscle invasive bladder cancer is 5-aminolevulinic acid-mediated photodynamic diagnosis. The intensity of the fluorescence caused by the intracellular accumulation of protoporph...

  • Article
  • Open Access
12 Citations
4,872 Views
15 Pages

Res-BiANet: A Hybrid Deep Learning Model for Arrhythmia Detection Based on PPG Signal

  • Yankun Wu,
  • Qunfeng Tang,
  • Weizong Zhan,
  • Shiyong Li and
  • Zhencheng Chen

Arrhythmias are among the most prevalent cardiac conditions and frequently serve as a direct cause of sudden cardiac death. Hence, the automated detection of arrhythmias holds significant importance for assisting in the diagnosis of heart conditions....

  • Article
  • Open Access
1 Citations
1,638 Views
17 Pages

19 August 2025

Background: Left atrial strain, particularly reservoir strain, has emerged as a sensitive marker of left atrial function and an early indicator of diastolic dysfunction and cardiovascular risk. However, automated left atrial strain analysis is not un...

  • Article
  • Open Access
2 Citations
2,269 Views
22 Pages

Assessing Cardiac Sympatho-Vagal Balance Through Wavelet Transform Analysis of Heart Rate Variability

  • A.M. Nelushi,
  • C.H. Manathunga,
  • N.G.S. Shantha Gamage and
  • Tadachika Nakayama

7 February 2025

Heart rate variability (HRV), which is the variation between consecutive heartbeats, reflects the electrical activity of the heart and provides insight into the autonomic nervous system (ANS) function. This study uses wavelet transform-based HRV feat...

  • Proceeding Paper
  • Open Access
7 Citations
2,402 Views
7 Pages

Screening for Atrial Fibrillation: Improving Efficiency of Manual Review of Handheld Electrocardiograms

  • Madhumitha Pandiaraja,
  • James Brimicombe,
  • Martin Cowie,
  • Andrew Dymond,
  • Hannah Clair Lindén,
  • Gregory Y. H. Lip,
  • Jonathan Mant,
  • Kate Williams,
  • Peter H. Charlton and
  • on behalf of the SAFER Investigators

14 November 2020

Atrial fibrillation (AF) is a common irregular heart rhythm associated with a five-fold increase in stroke risk. It is often not recognised as it can occur intermittently and without symptoms. A promising approach to detect AF is to use a handheld el...

  • Article
  • Open Access
32 Citations
5,426 Views
17 Pages

A Deep Learning Approach for Featureless Robust Quality Assessment of Intermittent Atrial Fibrillation Recordings from Portable and Wearable Devices

  • Álvaro Huerta Herraiz,
  • Arturo Martínez-Rodrigo,
  • Vicente Bertomeu-González,
  • Aurelio Quesada,
  • José J. Rieta and
  • Raúl Alcaraz

1 July 2020

Atrial fibrillation (AF) is the most common heart rhythm disturbance in clinical practice. It often starts with asymptomatic and very short episodes, which are extremely difficult to detect without long-term monitoring of the patient’s electroc...

  • Article
  • Open Access
14 Citations
8,795 Views
15 Pages

Two-Wired Active Spring-Loaded Dry Electrodes for EEG Measurements

  • Seungchan Lee,
  • Younghak Shin,
  • Anil Kumar,
  • Kiseon Kim and
  • Heung-No Lee

21 October 2019

Dry contact electrode-based EEG acquisition is one of the easiest ways to obtain neural information from the human brain, providing many advantages such as rapid installation, and enhanced wearability. However, high contact impedance due to insuffici...

  • Article
  • Open Access
66 Citations
11,853 Views
20 Pages

Deep Neural Networks for ECG-Based Pulse Detection during Out-of-Hospital Cardiac Arrest

  • Andoni Elola,
  • Elisabete Aramendi,
  • Unai Irusta,
  • Artzai Picón,
  • Erik Alonso,
  • Pamela Owens and
  • Ahamed Idris

21 March 2019

The automatic detection of pulse during out-of-hospital cardiac arrest (OHCA) is necessary for the early recognition of the arrest and the detection of return of spontaneous circulation (end of the arrest). The only signal available in every single d...

  • Article
  • Open Access
7 Citations
3,945 Views
23 Pages

Inexpensive Home Infrared Living/Environment Sensor with Regional Thermal Information for Infant Physical and Psychological Development

  • Genta Karino,
  • Aya Senoo,
  • Tetsuya Kunikata,
  • Yoshimasa Kamei,
  • Hideo Yamanouchi,
  • Shun Nakamura,
  • Masanori Shukuya,
  • Ricki J. Colman and
  • Mamiko Koshiba

The use of home-based image sensors for biological and environmental monitoring provides novel insight into health and development but it is difficult to evaluate people during their normal activities in their home. Therefore, we developed a low-cost...

  • Article
  • Open Access
42 Citations
8,830 Views
22 Pages

Speech Processing for Language Learning: A Practical Approach to Computer-Assisted Pronunciation Teaching

  • Natalia Bogach,
  • Elena Boitsova,
  • Sergey Chernonog,
  • Anton Lamtev,
  • Maria Lesnichaya,
  • Iurii Lezhenin,
  • Andrey Novopashenny,
  • Roman Svechnikov,
  • Daria Tsikach and
  • John Blake
  • + 2 authors

This article contributes to the discourse on how contemporary computer and information technology may help in improving foreign language learning not only by supporting better and more flexible workflow and digitizing study materials but also through...

  • Article
  • Open Access
4 Citations
3,275 Views
20 Pages

A Potential Effect of Circadian Rhythm in the Delivery/Therapeutic Performance of Paclitaxel–Dendrimer Nanosystems

  • Tânia Albuquerque,
  • Ana Raquel Neves,
  • Milan Paul,
  • Swati Biswas,
  • Elena Vuelta,
  • Ignacio García-Tuñón,
  • Manuel Sánchez-Martin,
  • Telma Quintela and
  • Diana Costa

The circadian clock controls behavior and physiology. Presently, there is clear evidence of a connection between this timing system and cancer development/progression. Moreover, circadian rhythm consideration in the therapeutic action of anticancer d...

  • Article
  • Open Access
4 Citations
3,363 Views
22 Pages

24 September 2022

Sudden cardiac death (SCD) risk can be reduced by early detection of short-lived and transient cardiac arrhythmias using long-term electrocardiographic (ECG) monitoring. Early detection of ventricular arrhythmias can reduce the risk of SCD by allowin...

  • Article
  • Open Access
10 Citations
4,881 Views
14 Pages

Regional Brain Analysis of Modified Amino Acids and Dipeptides during the Sleep/Wake Cycle

  • Theodosia Vallianatou,
  • Nicholas B. Bèchet,
  • Mario S. P. Correia,
  • Iben Lundgaard and
  • Daniel Globisch

27 December 2021

Sleep is a state in which important restorative and anabolic processes occur. Understanding changes of these metabolic processes during the circadian rhythm in the brain is crucial to elucidate neurophysiological mechanisms important for sleep functi...

  • Article
  • Open Access
4,807 Views
18 Pages

21 October 2023

Implantable Cardiac Monitor (ICM) devices are demonstrating, as of today, the fastest-growing market for implantable cardiac devices. As such, they are becoming increasingly common in patients for measuring heart electrical activity. ICMs constantly...

  • Article
  • Open Access
15 Citations
3,857 Views
22 Pages

11 July 2022

Heart rate is quite regular during sinus (normal) rhythm (SR) originating from the sinus node. In contrast, heart rate is usually irregular during atrial fibrillation (AF). Complete atrioventricular block with an escape rhythm, ventricular pacing, or...

  • Article
  • Open Access
17 Citations
4,543 Views
11 Pages

The sleep/wake rhythm is one of the most important biological rhythms. Quality and duration of sleep change during lifetime. The aim of our study was to determine differences in sleep efficiency, movement, and fragmentation during sleep period betwee...

  • Feature Paper
  • Article
  • Open Access
51 Citations
7,503 Views
19 Pages

21 December 2020

Telemedicine and all types of monitoring systems have proven to be a useful and low-cost tool with a high level of applicability in cardiology. The objective of this work is to present an IoT-based monitoring system for cardiovascular patients. The s...

  • Article
  • Open Access
7 Citations
4,970 Views
29 Pages

13 February 2025

GPU-based deep neural networks (DNNs) are powerful for electrocardiogram (ECG) processing and rhythm classification. Although questions often arise about their practical application in embedded systems with low computational resources, few studies ha...

  • Article
  • Open Access
9 Citations
3,780 Views
16 Pages

Atrial Fibrillation Detection Based on a Residual CNN Using BCG Signals

  • Qiushi Su,
  • Yanqi Huang,
  • Xiaomei Wu,
  • Biyong Zhang,
  • Peilin Lu and
  • Tan Lyu

19 September 2022

Atrial fibrillation (AF) is the most common arrhythmia and can seriously threaten patient health. Research on AF detection carries important clinical significance. This manuscript proposes an AF detection method based on ballistocardiogram (BCG) sign...

  • Article
  • Open Access
12 Citations
8,914 Views
23 Pages

Enabling Heart Self-Monitoring for All and for AAL—Portable Device within a Complete Telemedicine System

  • Andrés-Lorenzo Bleda,
  • Francisco-Manuel Melgarejo-Meseguer,
  • Francisco-Javier Gimeno-Blanes,
  • Arcadi García-Alberola,
  • José Luis Rojo-Álvarez,
  • Javier Corral,
  • Ricardo Ruiz and
  • Rafael Maestre-Ferriz

14 September 2019

During the last decades there has been a rapidly growing elderly population and the number of patients with chronic heart-related diseases has exploded. Many of them (such as those with congestive heart failure or some types of arrhythmias) require c...

  • Article
  • Open Access
34 Citations
7,114 Views
22 Pages

24 June 2021

Automatic detection of abnormal heart rhythms, including atrial fibrillation (AF), using signals obtained from a single-lead wearable electrocardiogram (ECG) device, is useful for daily cardiac health monitoring. In this study, we propose a novel ima...

  • Article
  • Open Access
3,883 Views
29 Pages

Dorsal Anterior Cingulate Cortex Coordinates Contextual Mental Imagery for Single-Beat Manipulation during Rhythmic Sensorimotor Synchronization

  • Maho Uemura,
  • Yoshitada Katagiri,
  • Emiko Imai,
  • Yasuhiro Kawahara,
  • Yoshitaka Otani,
  • Tomoko Ichinose,
  • Katsuhiko Kondo and
  • Hisatomo Kowa

Flexible pulse-by-pulse regulation of sensorimotor synchronization is crucial for voluntarily showing rhythmic behaviors synchronously with external cueing; however, the underpinning neurophysiological mechanisms remain unclear. We hypothesized that...

  • Article
  • Open Access
20 Citations
3,747 Views
15 Pages

Automatic Seizure Detection Based on Stockwell Transform and Transformer

  • Xiangwen Zhong,
  • Guoyang Liu,
  • Xingchen Dong,
  • Chuanyu Li,
  • Haotian Li,
  • Haozhou Cui and
  • Weidong Zhou

22 December 2023

Epilepsy is a chronic neurological disease associated with abnormal neuronal activity in the brain. Seizure detection algorithms are essential in reducing the workload of medical staff reviewing electroencephalogram (EEG) records. In this work, we pr...

  • Review
  • Open Access
16 Citations
6,564 Views
18 Pages

26 January 2023

Clock (circadian) genes are heterogeneously expressed in hair follicles (HFs). The genes can be modulated by both the central circadian system and some extrinsic factors, such as light and thyroid hormones. These circadian genes participate in the re...

  • Review
  • Open Access
928 Views
18 Pages

Monitoring Atrial Fibrillation Using Wearable Digital Technologies: The Emerging Role of Smartwatches

  • Panagiotis Stachteas,
  • Marios G. Bantidos,
  • Nikolaos Papoutsidakis,
  • Athina Nasoufidou,
  • Paschalis Karakasis,
  • Georgios Sidiropoulos,
  • Christos Kofos,
  • Dimitrios Patoulias,
  • Vasileios Ediaroglou and
  • Nikolaos Fragakis
  • + 7 authors

19 December 2025

Atrial fibrillation (AF) is the most common sustained arrhythmia and a growing global health burden, yet conventional monitoring with Holter devices, event recorders and implantable loop recorders often fails to adequately capture recurrence. Rapid a...

  • Article
  • Open Access
5 Citations
3,503 Views
7 Pages

Purpose: Since the prolonged sequestration management that was implemented in order to achieve lower infection and mortality rates, there has been a surge in depression worldwide. The correlation between the physical activity level and the detection...

  • Article
  • Open Access
19 Citations
8,316 Views
18 Pages

Data-Driven ECG Denoising Techniques for Characterising Bipolar Lead Sets along the Left Arm in Wearable Long-Term Heart Rhythm Monitoring

  • Omar J. Escalona,
  • William D. Lynn,
  • Gilberto Perpiñan,
  • Louise McFrederick and
  • David J. McEneaney

Abnormal heart rhythms (arrhythmias) are a major cause of cardiovascular disease and death in Europe. Sudden cardiac death accounts for 50% of cardiac mortality in developed countries; ventricular tachycardia or ventricular fibrillation is the most c...

  • Article
  • Open Access
21 Citations
10,530 Views
24 Pages

RNA Sequencing Analysis Reveals Transcriptomic Variations in Tobacco (Nicotiana tabacum) Leaves Affected by Climate, Soil, and Tillage Factors

  • Bo Lei,
  • Kun Lu,
  • Fuzhang Ding,
  • Kai Zhang,
  • Yi Chen,
  • Huina Zhao,
  • Lin Zhang,
  • Zhu Ren,
  • Cunmin Qu and
  • Wenjie Pan
  • + 2 authors

11 April 2014

The growth and development of plants are sensitive to their surroundings. Although numerous studies have analyzed plant transcriptomic variation, few have quantified the effect of combinations of factors or identified factor-specific effects. In thi...

  • Article
  • Open Access
16 Citations
3,988 Views
17 Pages

Developing Graph Convolutional Networks and Mutual Information for Arrhythmic Diagnosis Based on Multichannel ECG Signals

  • Bahare Andayeshgar,
  • Fardin Abdali-Mohammadi,
  • Majid Sepahvand,
  • Alireza Daneshkhah,
  • Afshin Almasi and
  • Nader Salari

Cardiovascular diseases, like arrhythmia, as the leading causes of death in the world, can be automatically diagnosed using an electrocardiogram (ECG). The ECG-based diagnostic has notably resulted in reducing human errors. The main aim of this study...

  • Article
  • Open Access
12 Citations
4,900 Views
10 Pages

Human Milk Endocannabinoid Levels as a Function of Obesity and Diurnal Rhythm

  • Palika Datta,
  • Michael W. Melkus,
  • Kathleen Rewers-Felkins,
  • Dhavalkumar Patel,
  • Tiffany Bateman,
  • Teresa Baker and
  • Thomas W. Hale

3 July 2021

The endocannabinoid system is involved in the regulation of a variety of physiological and cognitive processes. While the endocannabinoids 2-arachidonoylglycerol (2-AG) and anandamide (N-arachidonoylethanolamine, AEA) have been found in breast milk,...

  • Article
  • Open Access
16 Citations
5,755 Views
19 Pages

Whole-Genome and Expression Analyses of Bamboo Aquaporin Genes Reveal Their Functions Involved in Maintaining Diurnal Water Balance in Bamboo Shoots

  • Huayu Sun,
  • Sining Wang,
  • Yongfeng Lou,
  • Chenglei Zhu,
  • Hansheng Zhao,
  • Ying Li,
  • Xueping Li and
  • Zhimin Gao

2 November 2018

Water supply is essential for maintaining normal physiological function during the rapid growth of bamboo. Aquaporins (AQPs) play crucial roles in water transport for plant growth and development. Although 26 PeAQPs in bamboo have been reported, the...

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