Integrating Montessori Principles in Mental Health Education

This research paper will seek to address the ensuing principal research question: “What has been the role of early childhood education for the mentally ill child?” The Montessori principles which can be found in the proposed research lies in the fact that relative research undertaken on the role of mentally ill children’s education still continue to be in its infancy stage. There are a number of academic publications which have focused on the identification of key areas in need of further study between students’ social, emotional well-being, mental health and their school success as well as academic achievement. This research aims to investigate to what extent Maria Montessori‘s argument could be significant for today’s educational policies for the mentally ill. Montessori studied her mentally disabled patients, listening and carefully noting their response to her attempts to implement Séguin's educational methods, as well as their progress in becoming increasingly independent and verbal. The study will target this void by enunciating, refining and encompassing some of the recent hypothetical viewpoints of Montessori education and mental care

Enterprise Risk Management Adoption And Significant Positive Impact On Company Value. Case Study Of Sic Insurance Company Ghana ( Inferential Statistics And Hypothesis Testing).

This paper begins with academic empirical findings on current state of maturity with ERM (Enterprise Risk Management) as evidenced by research survey at SIC Company Ghana. The study of ERM (Enterprise Risk Management) took a qualitative research strategic approach, the study analysis of non-numerical qualitative data is expressed through words that is used to find answers to the stated hypothesis , which is applicable to this study. The research data collected was based on a single case study considering that the annual reports only indicated whether the company used COSO’s framework and ERM practices, a further investigation had to be made to ensure the suitability of the potential case company. State Insurance Corporation (SIC) Ghana was contacted considering that the company seemed to be using the COSO framework as well as having a strategic thinking regarding risk. The aim of the study was to investigate the usage of ERM (which should permeate the organization. To answer the research question some hypotheses have been formulated. These hypotheses are derived from findings of earlier research and literature. It is reasonable that firms with an ERM system may decide to increase leverage as a result of their improved risk appreciation . Another industrial sector with stronger ERM requirements due to regulatory restrictions, e.g. as a consequence of the downfall of Enron, is the energy industry. On the other hand, firms with a higher number of operating segments are faced with a higher risk complexity and therefore an increasing willingness to implement ERM. To answer H1 to H5, an analysis of the ERM implementation level needs to be performed. Second, the ERM implementation levels and performance of the insurance company needs to be coupled and compared to the other insurance companies in the sample. There are two research objectives which will be focused on 1) The grounded theory method which uses two basic principles: (a) questioning rather than measuring, and (b) generating hypotheses using theoretical coding and 2) the value impact of ERM systems, different empirical methods along with different time periods (a one-year and a multi-period sample), thereby following the literature. The hypothesize that the following firm characteristics have an impact on the likelihood of an ERM implementation.&nbsp

How Mood Affects The Stock Market: Empirical Evidence From Chinese Microblog

With the advent of the Web2.0 era, social media can achieve the rapid transmission of information and reduce the information asymmetry. In our study, we selected social media of Sina Weibo because of its wide use in China. Through text mining technology, this paper we extracted total 22504 tweets related to real estate industry. We succeeded in classify microblog accounts and two clusters of social media users are selected: individual investors and official media. Based on two dimensions of attention and emotion, this paper discusses the influence of different users on the stock market. Interestingly, the empirical results show that (1) there is an inverse U-shaped curve between attention and stock return for both official media and investor which support the over-attention underperformance hypothesis. (2) We also find that both daily sentiment of official media and investor are positively correlated to stock return. Our study contributes to a better understanding of emotion and stock market, particularly based on Chinese microblog

USING SOCIAL NETWORK ANALYSIS AS A STRATEGY FOR E-COMMERCE RECOMMENDATION

Recommender agents are being widely used by E-commerce business to help customers make decisions from a large amount of choices. To improve the performance of recommendation agents, three main approaches (content-based approaches, collaborative approaches and hybrid approaches) have been proposed to address recommendation problem whose basic idea is to discover similarity of items and users and predicate users’ preference toward a set of items. This provides potential for using social network analysis to make recommendations since social network analysis can be used to investigate the relationships of customers. In this research, we illustrate the concepts of social network analysis and how it can be employed to make better recommendations in E-commerce context. Application and research opportunities are presented

Spatially controlled electrostatic doping in graphene p-i-n junction for hybrid silicon photodiode

Sufficiently large depletion region for photocarrier generation and separation is a key factor for two-dimensional material optoelectronic devices, but few device configurations has been explored for a deterministic control of a space charge region area in graphene with convincing scalability. Here we investigate a graphene-silicon p-i-n photodiode defined in a foundry processed planar photonic crystal waveguide structure, achieving visible - near-infrared, zero-bias and ultrafast photodetection. Graphene is electrically contacting to the wide intrinsic region of silicon and extended to the p an n doped region, functioning as the primary photocarrier conducting channel for electronic gain. Graphene significantly improves the device speed through ultrafast out-of-plane interfacial carrier transfer and the following in-plane built-in electric field assisted carrier collection. More than 50 dB converted signal-to-noise ratio at 40 GHz has been demonstrated under zero bias voltage, with quantum efficiency could be further amplified by hot carrier gain on graphene-i Si interface and avalanche process on graphene-doped Si interface. With the device architecture fully defined by nanomanufactured substrate, this study is the first demonstration of post-fabrication-free two-dimensional material active silicon photonic devices.Comment: NPJ 2D materials and applications (2018

Effective electro-optic modulation in low-loss graphene-plasmonic slot waveguides

Surface plasmon polaritons enable light concentration within subwavelength regions, opening thereby new avenues for miniaturizing the device and strengthening light-matter interactions. Here we realize effective electro-optic modulation in low-loss plasmonic waveguides with the aid of graphene, and the devices are fully integrated in the silicon-on-insulator platform. By advantageously exploiting low-loss plasmonic slot-waveguide modes, which weakly leak into a substrate while feature strong fields within the two-layer-graphene covered slots in metal, we successfully achieve a tunability of 0.13 dB/um for our fabricated graphene-plasmonic waveguide devices with extremely low insertion loss, which outperforms previously reported graphene-plasmonic devices. Our results highlight the potential of graphene plasmonic leaky-mode hybrid waveguides to realized active ultra-compact devices for optoelectronic applications.Comment: revised version with 12 pages and 4 figure

Clustering mechanism of oxocarboxylic acids involving hydration reaction : Implications for the atmospheric models

The formation of atmospheric aerosol particles from condensable gases is a dominant source of particulate matter in the boundary layer, but the mechanism is still ambiguous. During the clustering process, precursors with di↵erent reactivities can induce various chemical reactions in addition to the formation of hydrogen bonds. However, the clustering mechanism involving chemical reactions is rarely considered in most of the nucleation process models. Oxocarboxylic acids are common compositions of secondary organic aerosol, but the role of oxocarboxylic acids in secondary organic aerosol formation is still not fully understood. In this paper, glyoxylic acid, the simplest and the most abundant atmospheric oxocarboxylic acids, has been selected as a representative example of oxocarboxylic acids in order to study the clustering mechanism involving hydration reaction using Density Functional Theory combined with the Atmospheric Clusters Dynamic Code. The hydration reaction of glyoxylic acid can occur either in the gas phase or during the clustering process. In atmospheric conditions, the total conversion ratio of glyoxylic acid to its hydration reaction product (2,2-dihydroxyacetic acid) in both gas phase and clusters can be up to 85%, andthe product can further participate in the clustering process. The di↵erences in cluster structures and properties induced by the hydration reaction lead to significant di↵erences in cluster formation rates and pathways at relatively low temperatures.Peer reviewe