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Artykuły w czasopismach na temat „Problem Behavior and EEG Record”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Liu, Longfan, Yan Li, Yan Xiong, Juan Cao, and Ping Yuan. "An EEG study of the relationship between design problem statements and cognitive behaviors during conceptual design." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 32, no. 3 (2018): 351–62. http://dx.doi.org/10.1017/s0890060417000683.

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AbstractIn the design process, different problem statements result in different problem-solving strategies. A proper problem statement is the key to effective problem-solving. Based on the characteristics of the product design process, we divided design problem statements into open-ended (OE), decision-making (DM), and constrained (CO) statements and attempted to investigate the influences of different problem statements on designers’ cognitive behaviors from three perspectives, namely divergent thinking, convergent thinking, and mental workload. Then we provided quantification description to

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Fahland, Dirk, Vadim Denisov, and Wil M. P. van der Aalst. "Inferring Unobserved Events in Systems with Shared Resources and Queues." Fundamenta Informaticae 183, no. 3-4 (2022): 203–42. http://dx.doi.org/10.3233/fi-2021-2087.

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To identify the causes of performance problems or to predict process behavior, it is essential to have correct and complete event data. This is particularly important for distributed systems with shared resources, e.g., one case can block another case competing for the same machine, leading to inter-case dependencies in performance. However, due to a variety of reasons, real-life systems often record only a subset of all events taking place. To understand and analyze the behavior and performance of processes with shared resources, we aim to reconstruct bounds for timestamps of events in a case

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Vyas, Manoj Rameshachandra, Manish Tyagi, and Rohit Kumar Sharma. "Data-driven approach for effective fatigue detection in drivers during driving events." Multidisciplinary Science Journal 5 (September 5, 2023): 2023ss0407. http://dx.doi.org/10.31893/multiscience.2023ss0407.

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The effectiveness of transportation and the safety of the road depend heavily on drivers during driving events. The way people drive, and the likelihood of accidents or other occurrences may both be strongly impacted by their actions and behaviors. Promoting safe and sensible driving behaviors requires an understanding of the traits and variables that affect drivers during driving incidents. The rising number of traffic accidents highlights the critical necessity to rein in and lessen the prevalence of careless driving. One of the most common causes of these serious mistakes is drowsiness whil

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Alroy, John. "Global databases will yield reliable measures of global biodiversity." Paleobiology 29, no. 1 (2003): 26–29. http://dx.doi.org/10.1666/0094-8373(2003)029<0026:gdwyrm>2.0.co;2.

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For decades, paleobiologists have treated global diversity estimation as a straightforward problem (Miller 2000): count up the known higher taxa in each geological time interval, make a diversity curve, and go straight ahead to analyzing and interpreting the trends. However, global diversity curves recently have come under attack from all sides. Some researchers argue that although traditional curves are strongly affected by sampling biases (e.g., Smith 2001; Peters and Foote 2002), these biases can be corrected by assembling large, locality-level databases with detailed contextual information

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ANGEL, OMER, RICHÁRD BALKA, and YUVAL PERES. "Increasing subsequences of random walks." Mathematical Proceedings of the Cambridge Philosophical Society 163, no. 1 (2016): 173–85. http://dx.doi.org/10.1017/s0305004116000797.

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AbstractGiven a sequence of n real numbers {Si}i⩽n, we consider the longest weakly increasing subsequence, namely i1 < i2 < . . . < iL with Sik ⩽ Sik+1 and L maximal. When the elements Si are i.i.d. uniform random variables, Vershik and Kerov, and Logan and Shepp proved that ${\mathbb E} L=(2+o(1)) \sqrt{n}$.We consider the case when {Si}i⩽n is a random walk on ℝ with increments of mean zero and finite (positive) variance. In this case, it is well known (e.g., using record times) that the length of the longest increasing subsequence satisfies ${\mathbb E} L\geq c\sqrt{n}$. Our main re

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Chung, Gregory. "Toward the Relational Management of Educational Measurement Data." Teachers College Record: The Voice of Scholarship in Education 116, no. 11 (2014): 1–16. http://dx.doi.org/10.1177/016146811411601115.

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Background Historically, significant advances in scientific understanding have followed advances in measurement and observation. As the resolving power of an instrument increased, so have gains in the understanding of the phenomena being observed. Modern interactive systems are potentially the new “microscopes” when they are instrumented to record fine-grained observations of what students do in an online task. Advances in the conceptualization, design, and analyses of such interaction data enable the discovery of learning patterns and can power new applications. One application, personalizati

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Arnadottir, Audur Thora, Gudmundur F. Ulfarsson, and Sungyop Kim. "Single-vehicle injury crashes on rural roads in Iceland: contribution of unforgiving roadsides to fatal and serious injuries of vehicle occupants." Traffic Safety Research 9 (January 24, 2025): e000083. https://doi.org/10.55329/bkrk9175.

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About 50% of the most severe crashes on rural roads in Iceland are run-off-road crashes. Many existing roads were designed before the concept of forgiving roadsides became prevailing in road design in Iceland. This research aimed to find the roadside elements that significantly increase the probability of high severity of single-vehicle injury crashes compared to low severity crashes on rural roads to prioritize safety improvements under limited budgets. In this research, 712 police records on single-vehicle injury crashes on rural state roads in Iceland in 2016–2018 were investigated. Crash d

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Pardhi, Amol, and Suchita Varade. "Ambulatory EEG Data Management System for Home Care Epileptic Patients." International Journal of Ambient Computing and Intelligence 13, no. 1 (2022): 1–15. http://dx.doi.org/10.4018/ijaci.311500.

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Epilepsy is an instance-based incident that occurs in a patient's behavior without prior intimation. However, it may be predicted through pre-seizure behavioral changes and that is the period when electroencephalogram (EEG) signals need to be recorded in case of the patient. Doctors or researchers may have the solution to record these EEG signals, but generating the seizure situation by any means or by provoking the patient is not an ethical practice. Doctors suggest therapy or treatment based on behavioral knowledge and without actual mental situations. The only solution to this is to encoura

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Campanaro, Celia M., Jose Carlos Pereira, Jose Hugo Lins Pessoa, Marcia Pradella Halimann, and Monica Favoreto. "Descriptive Study: sleep disorders breathing and Polysomnographic changes in Children and Adolescents with Sickle Cell Disease." Blood 118, no. 21 (2011): 4849. http://dx.doi.org/10.1182/blood.v118.21.4849.4849.

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Abstract Abstract 4849 Introduction: -Sickle Cell Disease (SCD) is a chronic inflammatory disease and a public health problem in Brazil, due its prevalence and Brazilian people high miscegenation. The hypoxia is one of the trigger for vessel occlusive crises in SCD and the quality of sleep is important to maintain a good tissue oxygenation. The search for sleep-disordered breathing (SDB) must be made based on history, physical examination and polysomnography (PSN). These include the diagnosis of airway obstruction and sleep apnea/hypopnea, obstructive syndrome (SAHOS). The objective confirmati

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Ding, Yueqing, Kaiqi Lei, and Jianhua Yang. "EVOLUTION TREND AND HOT ISSUES OF GROUNDWATER ENVIRONMENT RESEARCH IN RECENT 40 YEARS BASED ON EMOTIONAL BEHAVIOR CHANGES: A SUMMARY OF SCIENTIFIC ECONOMETRIC ANALYSIS FROM 1981 TO 2021." International Journal of Neuropsychopharmacology 25, Supplement_1 (2022): A47—A48. http://dx.doi.org/10.1093/ijnp/pyac032.065.

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Abstract Background Groundwater pollution has become an important factor restricting regional economic development and environmental protection. The prevention and control of groundwater pollution has always been the focus of water resources management scholars. The purpose of this study is to systematically evaluate the knowledge system of groundwater pollution prevention and control from 1981 to 2021, and to explore the research trend and hot spots of groundwater pollution prevention and control knowledge system. And the emotional and behavioral changes of water conservancy workers. Topics a

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Ke, Guek-Nee, Regina Wei Wen Tan, and Sam Palmer. "Brain Activity and Aggressive Behavior of Online Gamers." International Journal of Cyber Behavior, Psychology and Learning 12, no. 1 (2022): 1–19. http://dx.doi.org/10.4018/ijcbpl.304903.

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Research has shown mixed results in studies of online gaming and its effects, including aggression. The purpose of the current study is to examine the effects of a violent and non-violent game on aggression levels and brain activity. Forty-seven participants completed online questionnaires during pre- and post-gaming. During gaming, participants were randomly assigned to play either an action survival game or puzzle game. A mobile electroencephalography (EEG) recording device was used to record brain activity. Questionnaire results show significant positive correlations between problematic onl

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Williamson, A. A., E. Bhandari, O. Cicalese, et al. "0929 Caregiver-Reported Versus Clinician-Documented Child Sleep Problems and Sleep-Related Health Behaviors in Primary Care." Sleep 43, Supplement_1 (2020): A353. http://dx.doi.org/10.1093/sleep/zsaa056.925.

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Abstract Introduction Sleep problems are highly prevalent in early childhood but often under-identified in pediatric primary care. This study identified the prevalence of caregiver-reported versus primary care provider (PCP)-documented sleep problems and sleep-related health behaviors in young children presenting to well child visits (WCVs). Methods Caregivers (85.4% mothers) of 198 young children (2-5 years, M = 3.3, 53.7% female, 62.9% Black) presenting to urban (74.1%) and suburban (25.9%) primary care sites for well child visits (WCVs) completed research surveys on child behavioral sleep p

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Lemery-Chalfant, Kathryn, Sierra Clifford, Kristy McDonald, T. Caitlin O'Brien, and Carlos Valiente. "Arizona Twin Project: A Focus on Early Resilience." Twin Research and Human Genetics 16, no. 1 (2013): 404–11. http://dx.doi.org/10.1017/thg.2012.107.

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The Arizona Twin Project is an ongoing longitudinal study designed to elucidate the genetic and environmental influences underlying the development of early competence and resilience to common mental and physical health problems during infancy and childhood. Participants are a sample of 600 twins (25% Hispanic) recruited from birth records in the state of Arizona, United States. Primary caregivers were interviewed on twins’ development and early social environments when twins were 12 and 30 months of age. Measures include indices of prenatal and obstetrical risk coded from hospital medical rec

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Shen, Min Fen, and Jia Chun Weng. "An Approach for Predicting Clinical EEG Signal Based on SVM." Applied Mechanics and Materials 411-414 (September 2013): 1134–38. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.1134.

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Accurate modeling of Electroencephalography (EEG) signals is an important problem in clinical diagnosis of brain diseases. The method using support vectors machine (SVM) based on the structure risk minimization provides us an effective way of learning machine. But solving the quadratic programming problem for training SVM becomes a bottle-neck of using SVM because of the long time of SVM training. In this paper, a local-SVM method is proposed for modeling EEG signals. The local method is presented for improving the speed of the prediction of EEG signals. Furthermore, this proposed model is use

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Gooday, A. J., F. Jorissen, L. A. Levin, et al. "Historical records of coastal eutrophication-induced hypoxia." Biogeosciences Discussions 6, no. 1 (2009): 2567–658. http://dx.doi.org/10.5194/bgd-6-2567-2009.

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Abstract. Under certain conditions, sediment cores from coastal settings subject to hypoxia can yield records of environmental changes over time scales ranging from decades to millennia, sometimes with a resolution of as little as a few years. A variety of biological and geochemical proxies derived from such cores have been used to reconstruct the development of eutrophication and hypoxic conditions over time. Proxies based on 1) the preserved remains of benthic organisms (mainly foraminiferans and ostracods), 2) sedimentary features (e.g. laminations) and 3) sediment chemistry and mineralogy

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Gooday, A. J., F. Jorissen, L. A. Levin, et al. "Historical records of coastal eutrophication-induced hypoxia." Biogeosciences 6, no. 8 (2009): 1707–45. http://dx.doi.org/10.5194/bg-6-1707-2009.

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Abstract. Under certain conditions, sediment cores from coastal settings subject to hypoxia can yield records of environmental changes over time scales ranging from decades to millennia, sometimes with a resolution of as little as a few years. A variety of biological and geochemical indicators (proxies) derived from such cores have been used to reconstruct the development of eutrophication and hypoxic conditions over time. Those based on (1) the preserved remains of benthic organisms (mainly foraminiferans and ostracods), (2) sedimentary features (e.g. laminations) and (3) sediment chemistry a

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Seo, Keonkyo, and Byungjune Chun. "Current Utilization of Electroencephalography (EEG) Analysis in Career, Entrepreneurship, and Management Research in South Korea." Korean Career, Entrepreneurship & Business Association 8, no. 6 (2024): 297–315. https://doi.org/10.48206/kceba.2024.8.6.297.

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This study aims to explore the potential of Electroencephalography (EEG) application in Korea’s career, entrepreneurship, and management fields, driven by advancements in AI and neuroscience. The objective of this research is to systematically analyze domestic research trends and present academic and practical implications for the use of EEG. To achieve this, 14 papers published in Korean academic journals registered with the National Research Foundation of Korea between 2006 and 2023 were analyzed, focusing on the year of publication, research methods, research subjects, data collection and p

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Rodriguez Aguiñaga, Adrian, Luis Muñoz Delgado, Víctor Raul López-López, and Andrés Calvillo Téllez. "EEG-Based Emotion Recognition Using Deep Learning and M3GP." Applied Sciences 12, no. 5 (2022): 2527. http://dx.doi.org/10.3390/app12052527.

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This paper presents the proposal of a method to recognize emotional states through EEG analysis. The novelty of this work lies in its feature improvement strategy, based on multiclass genetic programming with multidimensional populations (M3GP), which builds features by implementing an evolutionary technique that selects, combines, deletes, and constructs the most suitable features to ease the classification process of the learning method. In this way, the problem data can be mapped into a more favorable search space that best defines each class. After implementing the M3GP, the results showed

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Jiang, Xiao, Gui-Bin Bian, and Zean Tian. "Removal of Artifacts from EEG Signals: A Review." Sensors 19, no. 5 (2019): 987. http://dx.doi.org/10.3390/s19050987.

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Electroencephalogram (EEG) plays an important role in identifying brain activity and behavior. However, the recorded electrical activity always be contaminated with artifacts and then affect the analysis of EEG signal. Hence, it is essential to develop methods to effectively detect and extract the clean EEG data during encephalogram recordings. Several methods have been proposed to remove artifacts, but the research on artifact removal continues to be an open problem. This paper tends to review the current artifact removal of various contaminations. We first discuss the characteristics of EEG

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Wang, Ching-Wen, Po-Chang Lin, and Chyuan Sha. "Employee Problems and Their Consequences in the Technology Industry: Evidence from Surveys and Counseling Records." Psychological Reports 114, no. 3 (2014): 687–719. http://dx.doi.org/10.2466/01.02.pr0.114k24w2.

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To support employees' work and health, organizations should help employees cope with common problems. Previous studies have focused primarily on work-related problems across multiple industries rather than on evaluating industry-specific issues. Here, two approaches identified common work and nonwork employee problems in the technology industry with the strongest correlations with psychosomatic health and life satisfaction. Study 1 used questionnaires to identify the problems that were perceived as the most frequent by lower-level employees ( N=355) working in the technology industry. Study 2

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Herzberg, J. L., and P. B. C. Fenwick. "The Aetiology of Aggression in Temporal-Lobe Epilepsy." British Journal of Psychiatry 153, no. 1 (1988): 50–55. http://dx.doi.org/10.1192/bjp.153.1.50.

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A retrospective case-note survey was carried out on 31 subjects admitted with temporal-lobe epilepsy to the Maudsley hospital from 1974–1983 inclusive. Fourteen aggressive subjects were compared with the non-aggressive patients on 95 organic, developmental, and social variables. Aggressive behaviour was associated with male sex, early onset of seizures, and a history of long-standing behavioural problems. Aggressive subjects had lower mean IQ scores and poorer occupational records than controls. No relationship was found between aggression and the presence of specific EEG or CAT scan findings,

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Chaabene, Siwar, Bassem Bouaziz, Amal Boudaya, Anita Hökelmann, Achraf Ammar, and Lotfi Chaari. "Convolutional Neural Network for Drowsiness Detection Using EEG Signals." Sensors 21, no. 5 (2021): 1734. http://dx.doi.org/10.3390/s21051734.

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Drowsiness detection (DD) has become a relevant area of active research in biomedical signal processing. Recently, various deep learning (DL) researches based on the EEG signals have been proposed to detect fatigue conditions. The research presented in this paper proposes an EEG classification system for DD based on DL networks. However, the proposed DD system is mainly realized into two procedures; (i) data acquisition and (ii) model analysis. For the data acquisition procedure, two key steps are considered, which are the signal collection using a wearable Emotiv EPOC+ headset to record 14 ch

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Anderson, Michael I., and Shane M. O'Mara. "Analysis of Recordings of Single-Unit Firing and Population Activity in the Dorsal Subiculum of Unrestrained, Freely Moving Rats." Journal of Neurophysiology 90, no. 2 (2003): 655–65. http://dx.doi.org/10.1152/jn.00723.2002.

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We examined neuronal activity in the dorsal subiculum of unrestrained, male adult Wistar rats, which were implanted with a moveable eight-electrode microdrive. The subiculum is the primary hippocampal formation output area and is comparatively uninvestigated neurophysiologically. We compared subicular unit activity and the subicular EEG while rats occupied a small, restricted environment and also correlated neuronal activity with the ongoing behavior of the animal. Units were separated using their electrophysiological characteristics into bursting units, regular spiking units, theta-modulated

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Hanrahan, Brian, James Lee, Eric Jackowiak, et al. "S90. Changing EEG ordering behavior based on modification of an electronic medical record ordering platform: Preliminary data." Clinical Neurophysiology 129 (May 2018): e175-e176. http://dx.doi.org/10.1016/j.clinph.2018.04.450.

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Zuckerman, Inon, Dor Mizrahi, and Ilan Laufer. "EEG Pattern Classification of Picking and Coordination Using Anonymous Random Walks." Algorithms 15, no. 4 (2022): 114. http://dx.doi.org/10.3390/a15040114.

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Tacit coordination games are games where players are trying to select the same solution without any communication between them. Various theories have attempted to predict behavior in tacit coordination games. Until now, research combining tacit coordination games with electrophysiological measures was mainly based on spectral analysis. In contrast, EEG coherence enables the examination of functional and morphological connections between brain regions. Hence, we aimed to differentiate between different cognitive conditions using coherence patterns. Specifically, we have designed a method that p

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V., Madhu Sudhan H., and S. Saravana Kumar. "Fusion Based Depression Detection through Artificial Intelligence using Electroencephalogram (EEG)." Fusion: Practice and Applications 14, no. 2 (2024): 109–18. http://dx.doi.org/10.54216/fpa.140209.

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Depression is one of the common psychological disorders that affects many people all over the world. The primary typical behavior of depression is persistent low mood, and it is one of the main reasons for disability worldwide. Due to the lack of awareness, treatment, and social stigma, it is leading to suicide and self-harm. It is necessary to identify the depression at a very initial stage to overcome further complications that may lead to suicide. In recent years, certain studies have been done on identifying depression through Machine Learning and Deep Learning techniques. Electroencephalo

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Chung, Kyong-mee, and Dongjoo Chin. "Identification of the Function of Problem Behavior Using Functional Assessment: Based on Types of Observer and Problem Behavior." Journal of Behavior Analysis and Support 8, no. 3 (2021): 57–74. http://dx.doi.org/10.22874/kaba.2021.8.3.57.

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Although identification of the function of problem behavior can be influenced by observers or types of problem behaviors, there is lack of studies analyzing these factors. The purpose of this study, which is focused on people with developmental disabilities, was to identify the functions of problem behaviors reported by three different groups of caregivers(teachers, staff/therapists, and parents), and types of problem behaviors(self-injurious, attack, destroy, stereotype, tantrum, others). Total of 473 participants answered basic information record and Functional Assessment for the Challenging

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Chalfoun, Pierre, and Claude Frasson. "Subliminal Cues While Teaching: HCI Technique for Enhanced Learning." Advances in Human-Computer Interaction 2011 (2011): 1–15. http://dx.doi.org/10.1155/2011/968753.

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This paper presents results from an empirical study conducted with a subliminal teaching technique aimed at enhancing learner's performance in Intelligent Systems through the use of physiological sensors. This technique uses carefully designed subliminal cues (positive) and miscues (negative) and projects them under the learner's perceptual visual threshold. A positive cue, called answer cue, is a hint aiming to enhance the learner's inductive reasoning abilities and projected in a way to help them figure out the solution faster but more importantly better. A negative cue, called miscue, is al

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Capisizu, Alexandru, Leon Zăgrean, Elena Poenaru, Elena Tudorache, Mihaela Anca Bulf, and Adriana Sorina Capisizu. "Investigation of Electroencephalographic Aspects, Adaptive Features, and Clinical Phenotypes in a Group of Children with Autism—A Pilot Study." Clinics and Practice 15, no. 3 (2025): 50. https://doi.org/10.3390/clinpract15030050.

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(1) Background: Autism, as an important global problem that affects many phenotypically different individuals, is associated with electroencephalographic (EEG) abnormalities and adaptability impairment. (2) Materials and Methods: In this retrospective study of a group of 101 autistic children, we aimed to evaluate the presence of EEG abnormalities, adaptive features, and clinical phenotypes via EEG, the Adaptive Behavior Assessment System II (ABAS II) scale, and neurological examination. (3) Results: Our results showed statistically significant associations between the level of adaptability ob

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Weed, L. "New Premises and New Tools for Medical Care and Medical Education." Methods of Information in Medicine 28, no. 04 (1989): 207–14. http://dx.doi.org/10.1055/s-0038-1636803.

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Abstract:Medical care and medical education can be supported more than in the past by using new tools and new premises for the effective linkage between bodies of knowledge and the use of that knowledge. The medical record can be converted from a source-oriented record to a problem-oriented record, enabling to trace not only what was done, but why it was done. These possiblities reveal new insights in the use of databases, problem lists, problem-oriented plans, and problem-oriented progress notes and flowsheets. It brings about a neW behavior in teaching which replaces memorizing facts, new po

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Andrzej Siemaszko. "Self-report study: methodological problems." Archives of Criminology, no. XV (July 12, 1988): 33–93. http://dx.doi.org/10.7420/ak1988b.

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Self-report studies are gradually becoming the predominating current of empirical research in criminology. This is particularly the case with etiological studies of deviant behaviour in young persons. However, the present popularity of self-report studies is not accompanied by improvement of their methodological aspect. No important development of the methodology of these studies has occured since the pioneer works of Short and Nye. It is the fundamental aim of the present paper to point to these of the methodological questions on which the further development of self-report studies will depen

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Kelly, Sean. "A Crisis of Authority in Predominantly Black Schools?" Teachers College Record: The Voice of Scholarship in Education 112, no. 5 (2010): 1247–74. http://dx.doi.org/10.1177/016146811011200501.

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Background/Context Black students are no less engaged or more disruptive than other students of similar achievement levels and socioeconomic status. However, because Black students are more likely to have disadvantaged family backgrounds and lower levels of achievement, segregation concentrates the risk factors for problem behavior in predominantly Black schools. As a result of the behavioral climate in predominantly Black schools, teachers may rely on instructional methods that facilitate an orderly classroom and minimize the negative effects of disruptions, possibly resulting in an instructi

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Zhang, Bingxue, Yang Shi, Longfeng Hou, Zhong Yin, and Chengliang Chai. "TSMG: A Deep Learning Framework for Recognizing Human Learning Style Using EEG Signals." Brain Sciences 11, no. 11 (2021): 1397. http://dx.doi.org/10.3390/brainsci11111397.

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Educational theory claims that integrating learning style into learning-related activities can improve academic performance. Traditional methods to recognize learning styles are mostly based on questionnaires and online behavior analyses. These methods are highly subjective and inaccurate in terms of recognition. Electroencephalography (EEG) signals have significant potential for use in the measurement of learning style. This study uses EEG signals to design a deep-learning-based model of recognition to recognize people’s learning styles with EEG features by using a non-overlapping sliding win

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Yan, Jianzhuo, Jinnan Li, Hongxia Xu, Yongchuan Yu, and Tianyu Xu. "Seizure Prediction Based on Transformer Using Scalp Electroencephalogram." Applied Sciences 12, no. 9 (2022): 4158. http://dx.doi.org/10.3390/app12094158.

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Epilepsy is a chronic and recurrent brain dysfunction disease. An acute epileptic attack will interfere with a patient’s normal behavior and consciousness, having a great impact on their life. The purpose of this study was to design a seizure prediction model to improve the quality of patients’ lives and assist doctors in making diagnostic decisions. This paper presents a transformer-based seizure prediction model. Firstly, the time-frequency characteristics of electroencephalogram (EEG) signals were extracted by short-time Fourier transform (STFT). Secondly, a three transformer tower model wa

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Andersson, A. J., and F. T. Mackenzie. "Ocean acidification: setting the record straight." Biogeosciences Discussions 8, no. 3 (2011): 6161–90. http://dx.doi.org/10.5194/bgd-8-6161-2011.

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Abstract. In recent years, ocean acidification has gained continuously increasing attention from scientists and a number of stakeholders and has raised serious concerns about its effects on marine organisms and ecosystems. With the increase in interest and the number of scientific investigations of this environmental problem, the number of opinions, often emotional, and misinterpretations of the issue have also increased. Regrettably, this is not necessarily helping to advance scientific understanding of the problem. In this article, we revisit a number of issues relevant to ocean acidificatio

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Miočinović, Lj Popović, M. Mladin Čikara, and K. Bošnjak Nađ. "Differential diagnosis of grand mal seizures during puberty in neurologically healthy children." Paediatria Croatica 55, no. 2 (2011): 127–32. http://dx.doi.org/10.13112/pc.797.

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Epileptic syndromes that occur during puberty with grand mal (GM) seizures can present a diagnostic problem. The beginning of the disease is often marked by “big attack”. Juvenile myoclonic epilepsy (JME) in puberty is first characterized by the occurrence of myoclonic jerks mostly in the hand, then by GM, and more rarely by typical absence seizures. The aim is to describe the course of the same disease, JME, in a sister and brother but with a different diagnostic approach, and consequently different therapeutic success. The sister was found to have a GM attack during afternoon nap at the age

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Kulsoom, Shazia, Erum Majid, Shazia Soomro, Sanam Bano, Taj Muhammad, and Zubair Khoso. "Electroencephalogram Spectrum in Children with Neurological Disorders an Experience of Tertiary Care Hospital." Pakistan Journal of Medical and Health Sciences 16, no. 6 (2021): 886–88. http://dx.doi.org/10.53350/pjmhs22166886.

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Background and Objective: For evaluation of brain function in medical and psychiatric disorders one of the important investigative tool is Electroencephalogram (EEG) . There are limited studies overall related to use of EEG however in pediatric population there is scarcity of standard data related to topic Therefore, the objective of this study is to evaluate the prevalence of abnormal EEG and related neurological disorders in children. Methods: A retrospective analysis of 664 EEG was done. One year record from 1st October 2020 to 30th September 2021 was reviewed .EEG request forms and reports

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Yankovsky, Alexei E., Martin Veilleux, François Dubeau, and Frederick Andermann. "Post‐ictal rage and aggression: a video‐EEG study." Epileptic Disorders 7, no. 2 (2005): 143–47. http://dx.doi.org/10.1684/j.1950-6945.2005.tb00115.x.

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ABSTRACT Post‐ictal rage and aggression have been mentioned in the literature but have rarely been documented by video‐EEG recording. We studied a patient with dramatic, episodic, seizure‐related rage and violence. This mentally retarded man had a lifelong history of seizures. He developed increasing episodic rage and aggression. Caregivers were afraid of him, although there was no record of directed violence. In one of these episodes he fractured his tibia and fibula. Interictal discharges arose from both temporal areas independently. He had focal seizures with secondary generalization. Immed

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Purdy, Isabell B., Lynne Smith, Dorothy Wiley, and Lina Badr. "A Psychoneuroimmunologic Examination of Cumulative Perinatal Steroid Exposures and Preterm Infant Behavioral Follow-Up." Biological Research For Nursing 15, no. 1 (2011): 86–95. http://dx.doi.org/10.1177/1099800411420134.

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Purpose: This study’s aim was to explore relationships between preterm infant behavioral outcomes and maternal/infant glucocorticoid (dexamethasone [DEX]) treatments using a psychoneuroimmunologic approach. Research questions were (a) do relationships exist between infant cumulative perinatal steroid (PNS) exposure and child behavioral problems? and (b) do maternal/infant characteristics (e.g., immune markers and biophysiologic stressors) influence these relationships? Methods: The convenience sample comprised 45 mother–child dyads in which the children (mean age 8 years ± 2.3) had been born a

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Smith, S., K. Greenwood, Z. Atakan, et al. "The impact study - motivating a change in health behaviour." European Psychiatry 26, S2 (2011): 2151. http://dx.doi.org/10.1016/s0924-9338(11)73854-8.

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IMPaCT is a five-year project funded by the Department of Health, UK. Running in the UK and now Sweden, the IMPACT Project aims to target the poor physical health and excessive substance use seen in people with SMI. There is evidence that behavioural interventions may be associated with an improvement in physical health and substance use in this population.IMPaCT is a randomised controlled trial of a health promotion intervention which consists of a manualised modular approach to working with people with severe mental illness to empower them to improve their physical health and substance use h

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VanPutten, Rachel, Claudia Drossel, and Thomas Waltz. "ADAPTING DIALECTICAL BEHAVIOR THERAPY TO ADDRESS CAREGIVER HEALTH IN HIGH-CONFLICT CAREGIVING SITUATIONS." Innovation in Aging 8, Supplement_1 (2024): 381–82. https://doi.org/10.1093/geroni/igae098.1239.

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Abstract Family caregivers of older adults with neurocognitive disorders (NCDs) are invisible patients in the U.S. healthcare system. This is especially concerning because poor caregiver mental or physical health predicts coercive care practices (e.g., yelling or threatening the older adult). When older adults with NCD come to providers’ attention for emotional and behavioral changes, systematic strategies for assessing and intervening on caregiver health and potential coercive caregiving patterns are lacking. The present study consisted of a retrospective chart review of clinical records from

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Kerr, D. C. R., and D. M. Capaldi. "Young men's intimate partner violence and relationship functioning: long-term outcomes associated with suicide attempt and aggression in adolescence." Psychological Medicine 41, no. 4 (2010): 759–69. http://dx.doi.org/10.1017/s0033291710001182.

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BackgroundLongitudinal research supports that suicidal thoughts and behaviors in adolescence predict maladjustment in young adulthood. Prior research supports links between suicide attempt and aggression, perhaps because of a propensity for impulsive behavior in states of high negative affect that underlies both problems. Such vulnerability may increase risk for intimate partner violence and generally poor young adulthood relational adjustment.MethodA total of 153 men participated in annual assessments from ages 10–32 years and with a romantic partner at three assessments from ages 18–25 years

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Sultanov, M. B., and Kh Yu Ismailova. "ELECTROENCEPHALOGRAPHIC STUDY OF PREFRONTAL CORTEX AMONG YOUTH ATHLETES HAS GIVEN THEIR TEMPERAMENT." Bulletin of Udmurt University. Series Biology. Earth Sciences 32, no. 4 (2022): 431–38. http://dx.doi.org/10.35634/2412-9518-2022-32-4-431-438.

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The problem of studies is the determination of hypothetical predictors for personality traits among five generalized EEG rhythms in the prefrontal cortex of youth soccer players. The goal of study was to explore the relationship between the oscillations of EEG rhythms in the prefrontal cortex and the personality traits of undergraduates of Sports University . The EEG was recorded using a wireless system with dry non-contact frontal sensor electrodes. The power spectrum was analyzed in five frequency bands (1-50 Hz). Personality traits determination was performed using Eysenck's personality que

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Mohammed, Hussein M., and Qutaiba I. Ali. "Cheating Detection in E-exams System Using EEG Signals." International Conference on Scientific and Innovative Studies 1, no. 1 (2023): 200–209. http://dx.doi.org/10.59287/icsis.601.

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Cheating in e-exams is a real problem that threatens academic integrity and underminesconfidence in the feasibility of remote assessments. Many previous research papers and studies discussedthe issue of cheating in e-exams to prevent or reduce it through the use of the available technologies suchas the use of a web camera to monitor the examinee, some researchers proposed using specific software torestrict the examinee from accessing resources that are not permitted during the exam. This work aims todesign a Semi-automatic, AI-based e-proctoring system that mitigates cheating in e-exams. This

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Canetto, Silvia Sara, Andrew D. Menger-Ogle, and Usha K. Subba. "Studying Scripts of Women, Men and Suicide: Qualitative-Method Development and Findings from Nepal." International Journal of Environmental Research and Public Health 20, no. 11 (2023): 6032. http://dx.doi.org/10.3390/ijerph20116032.

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Information about suicidal behavior in Nepal is limited. According to official records, suicide rates were high until the year 2000 and declined thereafter. Official records are considered unreliable and a gross undercounting of suicide cases, particularly female cases. Suicide research in Nepal has been mostly epidemiologic and hospital-based. Little is known about how suicide is understood by Nepali people in general—including dominant suicide attitudes and beliefs in Nepal. Suicide attitudes and beliefs, which are elements of a culture’s suicide scripts, predict actual suicidality. Drawing

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Mehman oğlu Mürşüdov, Kamran. "Development of methods of elimination of artefacts." NATURE AND SCIENCE 19, no. 4 (2022): 20–26. http://dx.doi.org/10.36719/2707-1146/19/20-26.

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Beyin fəaliyyətini və davranışını müəyyən etməkdə elektroensefaloqramma (EEG) mühüm rol oynayır. Bununla belə, qeydə alınan elektrik aktivliyi həmişə artefaktlarla çirklənir və sonra EEG siqnallarının təhlilinə təsir göstərir. Siqnal artefaktları qeyd sistemlərindən EEG məlumatlarının toplanması zamanı çox əhəmiyyətlidir. Bu artefaktlar EEG məlumatlarının keyfiyyətini çirkləndirə bilər. Bu baxımdan, artefaktları və ya səs-küyü effektiv şəkildə aradan qaldırmaq üçün artefakt növləri haqqında hərtərəfli bilik tələb olunur. Artefaktlar əsasən ətraf mühitin səs-küyündən, eksperimental xətadan və f

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Ascari, Luca, Anna Marchenkova, Andrea Bellotti, et al. "Validation of a Novel Wearable Multistream Data Acquisition and Analysis System for Ergonomic Studies." Sensors 21, no. 24 (2021): 8167. http://dx.doi.org/10.3390/s21248167.

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Nowadays, the growing interest in gathering physiological data and human behavior in everyday life scenarios is paralleled by an increase in wireless devices recording brain and body signals. However, the technical issues that characterize these solutions often limit the full brain-related assessments in real-life scenarios. Here we introduce the Biohub platform, a hardware/software (HW/SW) integrated wearable system for multistream synchronized acquisitions. This system consists of off-the-shelf hardware and state-of-art open-source software components, which are highly integrated into a high

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Badgley, Catherine. "The multiple scales of biodiversity." Paleobiology 29, no. 1 (2003): 11–13. http://dx.doi.org/10.1666/0094-8373(2003)029<0011:tmsob>2.0.co;2.

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The claim that measures of global biodiversity dynamics are meaningless is based upon several methodological problems, including underrepresentation of tropical regions in “global” Phanerozoic data sets, inaccuracies in taxonomic data, non-equivalence of higher taxa among groups of organisms, and uneven sampling intensity across groups, environments, and time intervals. Some of these problems are inherent in the fossil record, whereas others lie in documentation and interpretation of the subject. But the subject of global biodiversity is perfectly legitimate, even if problems persist in evalua

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Brasier, Martin D., and David Wacey. "Fossils and astrobiology: new protocols for cell evolution in deep time." International Journal of Astrobiology 11, no. 4 (2012): 217–28. http://dx.doi.org/10.1017/s1473550412000298.

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AbstractThe study of life remote in space has strong parallels with the study of life remote in time. Both are dependent on decoding those historic phenomena called ‘fossils’, here taken to include biogenic traces of activity and waste products. There is the shared problem of data restoration from incomplete data sets; the importance of contextual analysis of potentially viable habitats; the centrality of cell theory; the need to reject the null hypothesis of an abiogenic origin for candidate cells via morphospace analysis; the need to demonstrate biology-like behaviour (e.g., association with

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Yedurkar, Dhanalekshmi Prasad, Shilpa P. Metkar, Fadi Al-Turjman, Thompson Stephan, Manjur Kolhar, and Chadi Altrjman. "A Novel Approach for Multichannel Epileptic Seizure Classification Based on Internet of Things Framework Using Critical Spectral Verge Feature Derived from Flower Pollination Algorithm." Sensors 22, no. 23 (2022): 9302. http://dx.doi.org/10.3390/s22239302.

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A novel approach for multichannel epilepsy seizure classification which will help to automatically locate seizure activity present in the focal brain region was proposed. This paper suggested an Internet of Things (IoT) framework based on a smart phone by utilizing a novel feature termed multiresolution critical spectral verge (MCSV), based on frequency-derived information for epileptic seizure classification which was optimized using a flower pollination algorithm (FPA). A wireless sensor technology (WSN) was utilized to record the electroencephalography (EEG) signal of epileptic patients. Ne

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