Machine Learning in Detecting Auditory Sequences in Magnetoencephalography Data: Research Project in Computational Modelling and Simulation

Spielt Ihr Gehirn Ihre letzten Lebenserfahrungen ab, während Sie sich ausruhen? Eine offene Frage in den Neurowissenschaften ist, welche Ereignisse unser Gehirn wiederholt und gibt es eine Korrelation zwischen der Wiederholung und der Dauer des Ereignisses? In dieser Studie habe ich versucht, dieser Frage nachzugehen, indem ich Magnetenzephalographie-Daten aus einem Experiment zum aktiven Hören verwendet habe. Die Magnetenzephalographie (MEG) ist ein nicht-invasives Neuroimaging-Verfahren, das verwendet wird, um die Gehirnaktivität zu untersuchen und die Gehirndynamik bei Wahrnehmungs- und kognitiven Aufgaben insbesondere in den Bereichen Sprache und Hören zu verstehen. Es zeichnet das in unserem Gehirn erzeugte Magnetfeld auf, um die Gehirnaktivität zu erkennen. Ich baue eine Pipeline für maschinelles Lernen, die einen Teil der Experimentdaten verwendet, um die Klangmuster zu lernen und dann das Vorhandensein von Geräuschen im späteren Teil der Aufnahmen vorhersagt, in denen die Teilnehmer untätig sitzen mussten und kein Ton zugeführt wurde. Das Ziel der Untersuchung der Testwiedergabe von gelernten Klangsequenzen in der Nachhörphase. Ich habe ein Klassifikationsschema verwendet, um Muster zu identifizieren, wenn MEG auf verschiedene Tonsequenzen in der Zeit nach der Aufgabe reagiert. Die Studie kam zu dem Schluss, dass die Lautfolgen über dem theoretischen Zufallsniveau identifiziert und unterschieden werden können und bewies damit die Gültigkeit unseres Klassifikators. Darüber hinaus könnte der Klassifikator die Geräuschsequenzen in der Nachhörzeit mit sehr hoher Wahrscheinlichkeit vorhersagen, aber um die Modellergebnisse über die Nachhörzeit zu validieren, sind mehr Beweise erforderlich.Does your brain replay your recent life experiences while you are resting? An open question in neuroscience is which events does our brain replay and is there any correlation between the replay and duration of the event? In this study I tried to investigate this question by using Magnetoencephalography data from an active listening experiment. Magnetoencephalography (MEG) is a non-invasive neuroimaging technique used to study the brain activity and understand brain dynamics in perception and cognitive tasks particularly in the fields of speech and hearing. It records the magnetic field generated in our brains to detect the brain activity. I build a machine learning pipeline which uses part of the experiment data to learn the sound patterns and then predicts the presence of sound in the later part of the recordings in which the participants were made to sit idle and no sound was fed. The aim of the study of test replay of learned sound sequences in the post listening period. I have used classification scheme to identify patterns if MEG responses to different sound sequences in the post task period. The study concluded that the sound sequences can be identified and distinguished above theoretical chance level and hence proved the validity of our classifier. Further, the classifier could predict the sound sequences in the post-listening period with very high probability but in order to validate the model results on post listening period, more evidence is needed

Impact of LFSR Seeding on the Test Pattern Generator in BIST

This paper considers the problem of minimizing the power required to test a BIST based combinational circuit without modifying the test pattern generator and with no extra area or delay overhead. The objective of this paper is to analyze the impact of the polynomial and seed selection of the LFSR on the power consumed by the circuit. It is shown that proper selection of the seed of the LFSR can lead to significant decrease in the power consumption of the BIST sessions. For this purpose, a Bit Flipping LFSR is used as a test pattern generator in the BIST design. Experimental results using the ISCAS benchmark circuits are reported, showing variations of the seed selected for the LFSR, the power consumed is ranging from 5.5% to 13.5%

Symmetries and Synchronization Blockade

Synchronization blockade refers to an interferometric cancellation of quantum synchronization. In this manuscript, we show how the choice of synchronization measure and Hamiltonian symmetries affect the discussion of synchronization blockade. Using counting principles, we prove a general theorem that synchronization blockade cannot be observed in an $N-$level system when the coherent state used to define the diagonal limit-cycle state is in the full $SU(N)$ group. We present several illustrative examples of synchronization blockade in multi-level systems and prove that information-theoretic measures of synchronization can also observe synchronization blockade-like behavior by an appropriate choice of the set of limit cycle states.Comment: 10 pages, comments welcom

How Industry 4.0 technologies and open innovation can improve green innovation performance?

Purpose – This study investigates the impact of Industry 4.0 technologies on green innovation performance. In this relationship, the mediating role of green innovation behavior is also studied. Moreover, open innovation is tested as a mediator between Industry 4.0 technologies and green innovation behavior. Design/methodology/approach – A quantitative research method is adopted in which a structured questionnaire was used to collect data from 217 manufacturing firms of Malaysia. After collecting data, the partial least squares-structural equation modeling (PLS-SEM) technique is applied to analyze data and test the hypothesis of study. Findings – It is found that Industry 4.0 positively impacts open innovation which leads to green innovation behavior. Also, the former lays positive impact on green innovation behavior which leads to improve green innovation performance. Research limitations/implications – The authors conclude that Industry 4.0 technologies can play an important role to improve green innovation performance of Malaysian manufacturing firms by managing open innovation for green innovation behavior which further improves the green innovation performance. In this context, it is recommended that strategists and policymakers should undertake the role of open innovation and Industry 4.0 technologies to promote environment-friendly innovations and to promote the green behavior in companies. The authors suggest hereby that firms should be given incentives to adopt and utilize Industry 4.0 technologies and collaborative innovation interactions – as they foster a climate for sustainable green innovations (which is also a key component to achieve competitive advantage) and a growing concern nowadays. Practical implications – First of all the research contributes to achieving the broader of United Nations to promote sustainable innovation through green innovations. Moreover, the companies can also incorporate the findings and insights of this study while devising their policies to foster green innovations. Originality/value – This research has done the novel contribution by bridging the gap between open innovation approach and sustainability fields while promoting green innovations in small and medium enterprises (SMEs). These two research fields are rarely studied in previous studies by focusing open innovation particularly. Hence, the authors suggest researchers to undertake these fields to further enhance the level of scholarship between innovation management and sustainability. Also, the authors recommend considering technological orientation and technological absorptive capacity of firms to improve green innovations. The current study has investigated the SMEs perspective in general irrespective to their sectoral differences, thus, for future researchers the authors suggest investigating the sector-wise comparison, i.e. electrical and electronics sector, chemical sector, etc.; or service and manufacturing sector differences

Are Health Caregivers safe from workplace violence? A cross sectional study on workplace safety from Tertiary Care Hospital of Uttarakhand

Background: The prevalence of workplace violence in the healthcare sector is a problem that is frequently ignored and underreported. The performance of healthcare workers who have been the target of violence may suffer, which may have a negative effect on patient satisfaction and health. Aims & Objectives: The purpose of the current study was to determine the prevalence of workplace violence (WPV), risk factors for violence against healthcare workers, and their experiences regarding the same. Methodology: It was a cross-sectional study conducted on 157 hospital staff at Tertiary Care Medical College of Uttarakhand. Data was gathered using a semi-structured, self-administered questionnaire that was modified from the ILO, ICN, WHO, and PSI. Data were analyzed using SPSS software (version 20). Results: Factors like age, gender, job profile, lesser work experience, night shifts, and fewer staff on duty were found to have a positive association with workplace violence. It was observed that the majority of incidents took place in the ward, and the patient’s relatives were the attacker in most of the cases. It was also seen that the majority of Hospital staff did not get bothered by the incident except by staying super alert while dealing with other patients or their relatives. Conclusion: The study concludes that while caring for patients, Hospital staff are at risk of being victims of aggressive and violent situations. To reduce this problem, strategies like training staff in order to handle such incidents in the future should be brought into practice. Laws should be made stricter & assaulting staff on duty should be made a cognizable offense with serious consequences & heavy penalties. Also, the young budding MBBS students should be trained by incorporating these strategies, laws & policies in the CBME curriculu

Illuminating the Anticancerous Efficacy of a New Fungal Chassis for Silver Nanoparticle Synthesis

Biogenic silver nanoparticles (Ag NPs) have supple platforms designed for biomedical and therapeutic intervention. Utilization of Ag NPs are preferred in the field of biomedicines and material science research because of their antioxidant, antimicrobial, and anticancerous activity along with their eco-friendly, biocompatible, and cost-effective nature. Here we present a novel fungus Piriformospora indica as an excellent source for obtaining facile and reliable Ag NPs with a high degree of consistent morphology. We demonstrated their cytotoxic property, coupled with their intrinsic characteristic that make these biogenic nanoparticles suitable for the anticancerous activity. In vitro cytotoxicity of biologically synthesized Ag NPs (BSNPs) and chemically synthesized Ag NPs (SNPs) was screened on various cancer cell lines, such as Human breast adenocarcinoma (MCF-7), Human cervical carcinoma (HeLa), Human liver hepatocellular carcinoma (HepG2) cell lines and embryonic kidney cell line (HEK-293) as normal cell lines. The antiproliferative outcome revealed that the BSNPs exhibited significant cytotoxic activity against MCF-7 followed by HeLa and HepG2 cell lines as compared to SNPs. The blend of cytotoxic properties, together with green and cost-effective characteristics make up these biogenic nanoparticles for their potential applications in cancer nanomedicine and fabrication coating of ambulatory and non-ambulatory medical devices

Compensation of frequency independent I/Q imperfections using LMS algorithm

Due to the increasing demand of high data rate in recent years, orthogonal frequency division multiplexing (OFDM) and Direct up conversion transmitters (DCT) have gained significant interest. However such system's efficiency can be compromised by front-end impairments such as In-phase Quadrature (I/Q) imperfections. In this paper the effects of IQ imbalance on transmitter is studied and an adaptive algorithm is developed to compensate such distortions. Simulation results show high level of accuracy in the proposed algorithm and its ability to estimate the IQ imperfections. It also shows that the proposed compensator could overcome the imperfections perfectly

The extent and nature of individual tribal land alienation in fifth schedule states in India

"This is a report on the situation of tribal land alienation in India. Recent literature and public policy debates have focused attention on development- induced land alienation – large tracts of Adivasi land acquired by state or negotiated by private parties, for setting up development projects, with no or very modest returns for Adivasi, individually and collectively, and mostly, adverse after-effects. What has been missed in this, admittedly important debate, is the significant alienation that adivasis suffer across the country due to factors not necessarily directly related to large development projects and acquisitions of land related to those. Adivasi land is alienated also in small trickles, one family at a time, through the actions and inactions of state agents, lawyers, real estate brokers and land-hungry rich, acting in collusion, through individual purchases and acquisitions, mostly illegal and unrecorded, to deprive the often poverty-stricken Adivasis of what is her source, not just of sustenance but also identity and cultural moorings. Indeed, even the stories behind the relatively minuscule number of ‘legal’transactions between Adivasis and non-Adivasis, are in fact, studies in fraud and deceit, with Adivasis being roundly shortchanged at every step. ‘Non-development’induced Adivasi land alienation has been a common, often un-recorded and under-reported phenomenon, for generations.The cumulative scale of these, is equal if not wider, than that of development-induced ones. This report, based on detailed field work in Fifth Schedule states of the country – perhaps the first such, given the scale - is about the causes, the routes and processes of the phenomenon of “non development-induced” Adivasi land alienation, providing an up-to-date picture of the goings-on. The intentions of the study are strongly, policy-relevance.

An interdisciplinary framework for Islamic cognitive theories

The Islamic psychology (IP) community in Europe has recently witnessed a heated debate about the credentials required to participate in the theoretical substantiation of IP and Islamically integrated psychotherapy and counseling. This debate has provided convenient circumstances for Muslim psychologists and Islamic scholars alike to rethink their roles within the flourishing movement. Specifically, the discussions hint toward the importance of adopting a collaborative research methodology for IP, in particular for basic research. The methodology of choice will need to define the necessary qualifications and responsibilities of scholars and psychologists in a collaborative research process (personal collaboration) and evince its capability to appropriately marry knowledge and data, diverging research methods, and perspectives, concepts, and theories from Islamic studies and contemporary psychology (content-related collaboration). Here, we devise and offer a case illustration of an Islamic Psychology Basic Research Framework (coined the SALAAM Framework). This framework uses the Institute for Interdisciplinary Studies (IIS) Model of Interdisciplinary Research, developed by the IIS at the University of Amsterdam. Our first aim is to appropriate the IIS model for the IP literature by applying the model's research process phases and technique for the integration of disparate bodies of knowledge—that is, the identification of common ground—to methodological approaches in the contemporary IP literature. Our second aim is to exemplify the devised SALAAM Framework using the relatively unexplored area of Islamic cognitive theories (ICTs), which remain underdeveloped in contemporary psychological literature, primarily because of a lack of commensurability with the nomenclature of contemporary psychology. We thus provide a primer on the potential scope of ICTs. Toward the end of this article, we discuss the potential of the project of interdisciplinary construction of Islamic psychological theory, and the ability of the SALAAM Framework to establish a research program in IP that centers on cognition. We finally offer our reflections on the distinctiveness of Islamic psychologies in comparison to mainstream and Christian psychology.Q4WOS:0004589189000062-s2.0-8506156876

Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BackgroundDisorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by the International Classification of Diseases (ICD)-11, or a subset of cases of congenital, neonatal, and infectious conditions that cause neurological damage. Here, we estimate nervous system health loss caused by 37 unique conditions and their associated risk factors globally, regionally, and nationally from 1990 to 2021.MethodsWe estimated mortality, prevalence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs), with corresponding 95% uncertainty intervals (UIs), by age and sex in 204 countries and territories, from 1990 to 2021. We included morbidity and deaths due to neurological conditions, for which health loss is directly due to damage to the CNS or peripheral nervous system. We also isolated neurological health loss from conditions for which nervous system morbidity is a consequence, but not the primary feature, including a subset of congenital conditions (ie, chromosomal anomalies and congenital birth defects), neonatal conditions (ie, jaundice, preterm birth, and sepsis), infectious diseases (ie, COVID-19, cystic echinococcosis, malaria, syphilis, and Zika virus disease), and diabetic neuropathy. By conducting a sequela-level analysis of the health outcomes for these conditions, only cases where nervous system damage occurred were included, and YLDs were recalculated to isolate the non-fatal burden directly attributable to nervous system health loss. A comorbidity correction was used to calculate total prevalence of all conditions that affect the nervous system combined.FindingsGlobally, the 37 conditions affecting the nervous system were collectively ranked as the leading group cause of DALYs in 2021 (443 million, 95% UI 378–521), affecting 3·40 billion (3·20–3·62) individuals (43·1%, 40·5–45·9 of the global population); global DALY counts attributed to these conditions increased by 18·2% (8·7–26·7) between 1990 and 2021. Age-standardised rates of deaths per 100 000 people attributed to these conditions decreased from 1990 to 2021 by 33·6% (27·6–38·8), and age-standardised rates of DALYs attributed to these conditions decreased by 27·0% (21·5–32·4). Age-standardised prevalence was almost stable, with a change of 1·5% (0·7–2·4). The ten conditions with the highest age-standardised DALYs in 2021 were stroke, neonatal encephalopathy, migraine, Alzheimer's disease and other dementias, diabetic neuropathy, meningitis, epilepsy, neurological complications due to preterm birth, autism spectrum disorder, and nervous system cancer.InterpretationAs the leading cause of overall disease burden in the world, with increasing global DALY counts, effective prevention, treatment, and rehabilitation strategies for disorders affecting the nervous system are needed