Empirical Modeling of Asynchronous Scalp Recorded and Intracranial EEG Potentials

A Brain-Computer Interface (BCI) is a system that allows people with severe neuromuscular disorders to communicate and control devices using their brain signals. BCIs based on scalp-recorded electroencephalography (s-EEG) have recently been demonstrated to provide a practical, long-term communication channel to severely disabled users. These BCIs use time-domain s-EEG features based on the P300 event-related potential to convey the user\u27s intent. The performance of s-EEG-based BCIs has generally stagnated in recent years, and high day-to-day performance variability exists for some disabled users. Recently intracranial EEG (i-EEG), which is recorded from the cortical surface or the hippocampus, has been successfully used to control BCIs in experimental settings. Because these recordings are closer to the sources of the neural activity, i-EEG provides superior signal-to-noise ratio, spatial resolution, and broader bandwidth compared to s-EEG. However, because i-EEG requires surgery and the long-term efficacy for BCIs must still be explored, this approach is still not an option for patients. In order to improve s-EEG BCI performance, it is important understand the underlying brain phenomena and exploit the relationships between the s-EEG and generally superior i-BEG signals. Because the human head acts as a volume conductor consisting of the brain, cerebrospinal fluid, skull, and scalp tissue, linear mathematical models can be used to relate s-EEG and i-EEG. This dissertation presents unique s-EEG and i-EEG data that were recorded from the same subjects and used to develop novel empirical models to estimate s-EEG from i-EEG. These new empirical models can be used to better understand the sources and propagation of the relevant neural activity, as well as to validate existing theoretical volume conduction models. It is envisioned that this knowledge will help to advance algorithms for improving s-EEG BCI performance

Investigating different strategies for increasing sales and customer base

The study primarily discusses about the different strategies that the management of the company can implement in order to boost their customer base and net sales. The main aim of the research is to evaluate different strategies for increasing sales and customer base. A qualitative method was taken for this research, and data was collected with the help of primary and secondary methods. In the primary method, a semi-structured interview was conducted on the organisation’s premises with the store manager and other staff members. The secondary data was collected from books and the internet. The study has an emphasised focus on laying down several goals and objectives that the study plans to achieve. In this study, the researcher has tried to formulate the latest data and information about the company in order to provide the management with the latest insights about customer preferences and techniques that can be used for improving their decision-making process. The study has laid down processes and procedures that were followed in order to prepare the entire study. The key findings of the research are to introduce the new product, give some rewards points and add some more options for customers. The foremost recommendations for the organisation will be to improve communication with their customers, and to use PayWave service and wi-fi facility. Moreover, they should use social media and other platforms to advertise their products and add more features and varieties to the existing product to attract the attention of customers

Equally Spread Current Execution Load Algorithm - A Novel Approach for Improving Data Centre’s Performance in Cloud Computing

Cloud Computing has recently emerged as an innovative approach for hosting & providing services on the Internet. Cloud computing is a concept of distributed computing to provide the customers on-demand, utility based computing services over the internet in the whole world as user pay an hourly basis. Cloud users can provide more trusted, available and up-to-date services to their customers in turn. The cloud is made up of physical machines in cloud provider data centers. The architecture of cloud computing faces the difficulties of large-scale data processing.In this research paper a Equally Spread Current Execution Load Balancing Algorithm has been compared with the Round Robin and this paper has just proposed a method through which the performance can be made better for data centre’s in case of cloud environment

A Review for Digital Microscope Using Raspberry Pi

This paper provides the way of digitization of the microscope by using the raspberry pi kit which includes the touch screen and the Pi camera. We demonstrate the use of the raspberry pi 2 kit as an alternative to the USB camera so as to directly view the data and analyze. The raspberry pi kit would lead to the instant detection and the review of the sample which could be sent directly through internet. The main concern in this paper is to decrease the work of a biologist and getting a better view for the sample to demonstrate and examine the sample

Improving the Processing Time with Equally Spread Technique in Cloud Computing

Cloud Computing attracts many people because disappearing entrepreneur needs users consider pre-provisioning, and allows small businesses and expanding resources only when there is an increase in demand for services. In our research work we have used the Equally Spread Current Execution Load technique by creating 50 user bases and 2 data centers on different regions and configuring each user bases on different data centers. Furthermore simulation is run for 90 minutes using service broker policy for the betterment of the results. Finally we configured it with 50 user bases with 2 data centers on different regions by using linux operating system with virtual machine monitor (VMM). By allotting physical hardware units on data centers and running the simulation for 90 minutes it has been observed that the results obtained in case of Equally Spread Current Execution Load are far better than that of round robin. So in this research work we have implemented the Equally Spread Current Execution Load technique and improvement has been made on the behalf of overall response time and processing time of data centers which is much distinguishable as compared to the Round Robin Technique

Empirical Models of Scalp-EEG Responses Using Non-Concurrent Intracranial Responses

Objective- This study presents inter-subject models of scalp-recorded electroencephalographic (sEEG) event-related potentials (ERPs) using intracranially recorded ERPs from electrocorticography and stereotactic depth electrodes in the hippocampus, generally termed as intracranial EEG (iEEG). Approach- The participants were six patients with medically-intractable epilepsy that underwent temporary placement of intracranial electrode arrays to localize seizure foci. Participants performed one experimental session using a brain-computer interface matrix spelling paradigm controlled by sEEG prior to the iEEG electrode implantation, and one or more identical sessions controlled by iEEG after implantation. All participants were able to achieve excellent spelling accuracy using sEEG, four of the participants achieved roughly equivalent performance in the iEEG sessions, and all participants were significantly above chance accuracy for the iEEG sessions. The sERPs were modeled using a linear combination of iERPs using two different optimization criteria. Main results- The results indicate that sERPs can be accurately estimated from the iERPs for the patients that exhibited stable ERPs over the respective sessions, and that the transformed iERPs can be accurately classified with an sERP-derived classifier. Significance- The resulting models provide a new empirical representation of the formation and distribution of sERPs from underlying composite iERPs. These new insights provide a better understanding of ERP relationships and can potentially lead to the development of more robust signal processing methods for noninvasive EEG applications

Menstrual Hygiene Awareness, Challenges and Management for Improving Quality of Life

Menstruation is a normal and necessary part of life, and maintaining proper menstrual hygiene is crucial for women's and girls' health as well as their right to access basic services for sanitation, hygiene, and reproductive health.Thesafe drinking water, sanitation, and hygiene (WASH) aspectof menstrual hygiene has significantly gained attention in recent times. In lowand middle-income nations, womenface significant menstrual hygiene management challenges. These problems stem from a lack of information and inadequate water, sanitation, and hygiene facilities.Women frequently struggle with a lack of access to menstrual hygiene products, or if they do, the high priceof sanitary pad render them unaffordable. The lives of vulnerable women are significantly impacted by stigma and period poverty, forcing them to use unhygienic alternatives like dried leaves and soiled old clothes as sanitary pads. The Menstrual Hygiene Day is observed on May 28 because women menstruate on average five days per month and menstrual cycles last an average of 28 days. 25 percent of World Bank education projects included menstrual hygiene management components, such as the provision of sanitary and hygienic restrooms or separate restrooms for boys and girls in their schools.To empower women and tackle misinformation, this study will contribute to raising awareness regarding the management of menstrual hygiene

Improving public sector performance: the power of implementing corporate governance

The concept of corporate governance of public entities is evolving. Corporate governance in public institutions, as a method of management and control, requires clear rules and principles of integrity, transparency and accountability, well-defined risk management and control mechanisms, elements that are essential for achieving public entities’ goal, which means meeting public needs. Corporate governance is a process through which management monitors and maintains a corporation’s compliance with laws and regulations. Is it necessary to use corporate governance in public entities? Can it reduce expenditure or budget deficits, ensuring an efficient use of public funds? Can it eliminate corruption and improve the performance of public entities? The purpose of this study is to carry out an academic analysis of the evolution of the corporate governance in public entities and to highlight its effectiveness, through principles that encourage better decision-making and resource efficiency. The applied methodology involves focusing on the in-depth study of the subject using the analytical method. Moreover, the study draws comparisons of different models on the aspects researched, using comparative analysis. In conclusion, good corporate governance is essential for any organization to ensure the sustainability of its resources and operations, with a direct effect on the entity’s performance

Mechanistic Insights of Drug Resistance in <em>Staphylococcus aureus</em> with Special Reference to Newer Antibiotics

Staphylococcus aureus is the most ubiquitous microorganism in both environment as well as animals and exists as commensal and pathogenic bacterium. In past few years it has been emerged as a superbug causing serious burden on healthcare system. This bacterium has been found to be the most resistant one toward most of the antibiotics due to its rapid structural and genetic modifications. This chapter will shed light on various types of molecular mechanisms responsible for resistance of Staphylococcus aureus showcasing how it has been emerged as a superbug. Moreover, the recent approaches which include exploring of different drug targets keeping in view the structural and functional behavior of the Staphylococcus aureus has also been discussed

Tc-99m-tamoxifen: A novel diagnostic imaging agent for estrogen receptor-expressing breast cancer patients

PURPOSEThe aim of the study was to radiolabel, characterize, and perform in vitro and in vivo assessment of Technetium-99m (Tc-99m) tamoxifen for screening ER expressing lesions in breast cancer patients.METHODSIn this study, tamoxifen has been radiolabeled with Tc-99m via Tc-99m-tricarbonyl core. The characterization and quality control tests of Tc-99m-tamoxifen were performed. In vitro recep- tor binding and blocking studies were performed in both positive control (MCF-7) and negative control cell lines (MDA-MB-231). Normal biodistribution studies were performed in female Wistar albino rats. The pilot clinical studies were performed in 4 ER-expressing breast cancer patients. Of the 4 patients, 1 was on tamoxifen therapy. All 4 patients had also undergone Fluorine-18 fluorodeoxyglucose (F-18-FDG) positron emission tomography/computed tomography.RESULTSTamoxifen was radiolabeled with Tc-99m via Tc-99m-tricarbonyl core with more than 95% radio- chemical yield. Mass spectra showed a peak corresponding to the molecular weight of Tc-99m- tricarbonyl and Tc-99m-tamoxifen. The site of binding of Tc-99m-tricarbonyl with tamoxifen was determined by proton nuclear magnetic resonance. The Tc-99m-tamoxifen showed 30% binding with MCF-7 and only 1%-2% receptor binding with MDA-MB-231 cell lines. Also, the percentage of receptor binding was drastically reduced (up to 72%) when ER was saturated with 50 times the excess molar ratio of unlabeled tamoxifen. In a pilot patient study, Tc-99m-tamoxifen uptake was observed in primary and metastatic lesions. However, no uptake was observed in a patient who was on tamoxifen therapy. The uptake of F-18-FDG was noted in all the patients.CONCLUSIONTamoxifen was radiolabeled with an in-house-synthesized Tc-99m-tricarbonyl core. The radio- labeled complex has been characterized and evaluated for receptor specificity in in vitro and in vivo studies. Also, this is the first clinical study using Tc-99m-tamoxifen for imaging ER. More patients need to be evaluated to further explore the role of Tc-99m-tamoxifen in ER-expressing lesions