Educational enhancement

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Review of the utilization of HEEPF – competitive projects for educational enhancement in the Egyptian medical sector

Review of the utilization of HEEPF – competitive projects for educational enhancement in the Egyptian medical sector

In Egypt, the medical sector has been facing the same problems that challenged the system of higher education in the past decades, mainly an increasing student enrollment, limited resources, and old governance and bylaws. These constraints and the escalating paucity of resources have had a major negative influence on quality of education. Consequently, thoughts of educational reform came forward in the form of competitive projects, which have attracted several institutes from the health sector to improve their educational performance. The aim of this paper is to review the share of the medical sector in the higher education enhancement project fund (HEEPF), its outcomes, sustainability, and to provide recommendations for keeping the momentum of reform pursuit in the future. The methodology included obtaining statistics pertaining to the medical sector in Egypt as regards colleges, students, and staff. We also reviewed the self-studies of the medical sector colleges, HEEPF projects reports, performance appraisal reports, and World Bank reports on HEEPF achievements in order to retrieve the required data. Results showed that medical sector had a large share of the HEEPF (28.5% of projects) as compared to its size (8% of student population). The projects covered 10 areas; the frequency distribution of which ranged between 4.4% (creation of new programs) to 97.8% (human resource development). In conclusion, educational enhancement in the medical sector in Egypt could be apparently achieved through the HEEPF competitive projects. A study of the long-term impact of these projects on the quality of education is recommended
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Education Appropriations. Funded by the Educational Enhancement (Lottery) Trust Fund

Education Appropriations. Funded by the Educational Enhancement (Lottery) Trust Fund

(2) Each fiscal year, variable percentages of the gross revenue from the sale of online and instant lottery tickets as determined by the department consistent with subsection (1), and other earned revenue, excluding application processing fees, shall be deposited in the Educational Enhancement Trust Fund, which is hereby created in the State Treasury to be administered by the Department of Education. The Department of the Lottery shall transfer moneys to the Educational Enhancement Trust Fund at least once each quarter. Funds in the Educational Enhancement Trust Fund shall be used to the benefit of public education in accordance with the provisions of this act. Notwithstanding any other provision of law, lottery revenues transferred to the Educational Enhancement Trust Fund shall be reserved as needed and used to meet the requirements of the documents authorizing the bonds issued by the state pursuant to s. 1013.68, s. 1013.70, or s. 1013.737 or distributed to school districts for the Classrooms First Program as provided in s. 1013.68. Such lottery revenues are hereby pledged to the payment of debt service on bonds issued by the state pursuant to s. 1013.68, s. 1013.70, or s. 1013.737. Debt service payable on bonds issued by the state pursuant to s. 1013.68, s. 1013.70, or s. 1013.737 shall be payable from, and is secured by a first lien on, the first lottery revenues transferred to the Educational Enhancement Trust Fund in each fiscal year. Amounts distributable to school districts that request the issuance of bonds pursuant to s. 1013.68(3) are hereby pledged to such bonds pursuant to s. 11(d), Art. VII of the State Constitution.
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Quality Assurance (QA) Report (Final) Juvenile Justice Educational Enhancement Program (JJEEP)

Quality Assurance (QA) Report (Final) Juvenile Justice Educational Enhancement Program (JJEEP)

The principal for alternative schools is the contract manager. Documentation of appropriate oversight and assistance to the program includes regular meetings, e-mails, periodic on-site visits, and telephone calls. During the regular meetings, many educational concerns and issues are addressed to ensure that the quality of education is maintained. The contract manager documents implementation of new educational initiatives and evaluating and monitoring the educational component; however, more assistance is needed to ensure that the school district reading coach assists the reading teacher with implementing the reading curriculum and to ensure that students who are on the special diploma track receive instruction via an appropriate model. In addition, the contract manager visits the program regularly as documented on the visitors log and contacts the program via e-mails, telephone calls, memos, and faxes. Observations and interviews with the teachers and staff confirm that the program is provided adequate resources and support by the school district. 13.7 The contract manager or designee monitors and documents
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Quality Assurance (QA) Report (Final) Juvenile Justice Educational Enhancement Program (JJEEP)

Quality Assurance (QA) Report (Final) Juvenile Justice Educational Enhancement Program (JJEEP)

The program provides students access to Florida Virtual School as appropriate. RATING JUSTIFICATION The intent of the indicator is being exceeded. The program has a cadre of educational support that includes a librarian, classroom volunteers, a curriculum director, and an involved reading coach who promotes reading across the curriculum. These provide extended services to students. Additionally, there is program wide dedication to training teachers to implement reading strategies in their lesson plans and instruction in all subject areas.

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SEED Haematology. Sysmex Educational Enhancement and Development February 2013

SEED Haematology. Sysmex Educational Enhancement and Development February 2013

The laboratory practice of haematology has evolved tre- mendously over the past few decades with automated ana- lyser generated complete blood counts (CBC) having fully replaced the ori[r]

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Quality Assurance (QA) Report (Final) Juvenile Justice Educational Enhancement Program (JJEEP)

Quality Assurance (QA) Report (Final) Juvenile Justice Educational Enhancement Program (JJEEP)

The self-report, interviews with educational staff, and observations during this review document that the contract manager is highly involved in the program and demonstrates commitment to providing high quality educational services to students. Teachers interviewed report that he is accessible and responsive to program needs. E-mails, calendars, and sign-in sheets document that he comes to the program one day a week. This year he assigned an assistant principal and a guidance counselor to the program and was instrumental in obtaining a $125,000 grant to build and equip a library. As noted in the last quality assurance (QA) review, the teachers need training in developing and reviewing students' individual academic plan (IAP) goals. 13.7 The contract manager or designee monitors and documents
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NAUFRP Undergraduate Educational Enhancement Strategy

NAUFRP Undergraduate Educational Enhancement Strategy

Goal 3 NAUFRP should develop and strengthen educational partnerships (e.g., CEDD, NAUFWP, Ecological Society of America (ESA), APLU, TWS, SAF, USDA, USDOI, American Fisheries Society (AFS)) regarding undergraduate education with all stakeholders in natural resources in a way that leverages our mutual interests so that we produce the numbers, quality, and diversity of natural resource professionals needed for the future.

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Heat Transfer Enhancement in Heat Exchanger using Passive Enhancement Technique

Heat Transfer Enhancement in Heat Exchanger using Passive Enhancement Technique

Besides the relative thermal–hydraulic performance improvements brought about by the Enhancement devices, there are many factors that should be considered to evaluate the Performance of particular heat transfer equipment. They include economic (engineering Development, capital, installation, operating, maintenance, and other such costs), Manufacturability (machining, forming, bonding, and other production processes), reliability (material compatibility, integrity, and long-term performance), and safety, among others. The Assessment of these factors, as well as the enhanced convection performance, is usually.
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Educational Robotics as an Inovative Educational Technology

Educational Robotics as an Inovative Educational Technology

Robotics can be regarded as an efficient means of individualization of learning – taking into account the interests, inclinations, the level of students' knowledge in the subject. This is provided not only by the relevant techniques of teacher's work, but also owing to a variety of educational robotics kits, as well as accompanying study materials targeted at developing the technical creativity in children of various age and level of readiness for lessons of technical modeling and design. An additional factor stimulating the use of individual training technology is the implementation of the relation between the academic process and competitive robotics movement which can involve the students interested in technical creativity.
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Speech Enhancement for Quality and Intelligibility Enhancement under Different Noise Conditions

Speech Enhancement for Quality and Intelligibility Enhancement under Different Noise Conditions

Next, we consider how the hypothesis is influenced if the signal is translated in its auditory representation. In Section II-A we portrayed a mapping from the acoustic to the auditory representation. Inside each ERB band various Gaussian variables are combined in one method. Our model without upgrade inside a specific ERB band with record comprises of i) the era of an arrangement of variables, ii) The expansion of autonomous noise variable to each created variable iii) The summation (in the ear) of all variables to the single ERB band arbitrary variable: . Assuming is constant for ,it can then be demonstrated that Which is same as (5) preceding the enhancement symbol is included. In this manner, we have found that from the mentioned assumptions the above hypothesis persists to the situation where the last recipient is the human auditory system, which incorporates within the speech signal.
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Human enhancement and human diversity : the need for a coordinated approach to enhancement technologies

Human enhancement and human diversity : the need for a coordinated approach to enhancement technologies

This is my goal in this thesis. In collaboration with co-authors, I have written five articles which analyse the costs and benefits of enhancement technologies in different contexts. I identify the reasons for and against particular uses of enhancement technologies, and discuss whether these reasons may be strong enough to justify further actions, such as state sponsored restrictions. These five separate manuscripts have been brought together in this “thesis by compilation”. Hence the next five chapters can be read as five different standalone pieces – each making a different set of claims. However, the forthcoming chapters can also be read as five interrelated pieces that support a general conclusion about human enhancement. This conclusion is that we need to considerer certain population-level properties, such as diversity and robustness when assessing the permissibility of particular enhancement technologies. When individuals alter their own genes, or the genes of their children, they also influence the human gene pool. Similarly when individuals alter their cognitive capacities they also influence the collective cognitive resources available to the population as a whole. These types of effects on collective properties provide reasons both for and against particular uses of enhancement technologies.
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Enhancement of Underwater Images using Pixel Arrangements and Image Enhancement Algorithm

Enhancement of Underwater Images using Pixel Arrangements and Image Enhancement Algorithm

Illumination of the object is also heavily influenced by the diving location, due to color cast of specific locations: deeper ocean and seas generates greenish and bluish backgrounds, equatorial waters seems cyan in nature, while protected reefs usually have exceptionally good image perceptibility. Futhermore adding on to the problem of varying level of illumination present underwater, the particle density that the light has to travel through is several times denser than normal atmosphere in sub seawaters. As a implied result, light in sub-sea water gradually looses different wavelengths of light. From the studies of Codruta O. Ancuti ; Cosmin Ancuti ; Christophe De Vleeschouwer ; Philippe Bekaert [1] we know that red, which compares to the longest wavelength, is the first to be lost (10-15 ft), trailed by orange (20-25 ft), and yellow (35-45 ft). Pictures taken at 5 ft profundity will have a perceptible attenuation of red. Furthermore, the refractive list of water makes making a decision about separations troublesome. Along these lines, submerged articles can seem 25% bigger than they truly are. The image enhancement adopts a three step strategy to improve underwater images
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Computational video enhancement

Computational video enhancement

high noise levels and significant quantization noise because it only uses a few of the bits of dynamic range the sensor offers. The problem domain of enhancing LDR footage is an excellent test case for proving the capabilities of computational video processing because its enhancement is aided by additional information from nearby spatial and temporal samples. The first approach presented here considers the problem of enhancing a low-light visible- spectrum video by itself, while the second presents a fusion of both visible and non-visible spectra videos, integrating samples from both spectra. Besides both enhancing low-light video, these approaches are also unified by their use and extension of concepts of the edge-preserving bilateral filter (Tomasi and Manduchi, 1998) for a variety of filtering and decomposition tasks. Visible-spectrum-only enhancement is performed inside a processing model called the Vir- tual Exposure Camera (VEC) which provides simultaneous tone mapping and noise reduction. Specifically, noise reduction is performed with a novel computational video filter called the Adaptive Spatio-Temporal Accumulation (ASTA) filter. Alternatively, the multispectral fu- sion in Section 4.3 decomposes each of the input videos and combines the best elements of each into the output video. These underlying components are also enhanced with a new multispectral filtering technique called the dual bilateral filter.
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Narcissistic Self-Enhancement

Narcissistic Self-Enhancement

Pockets of NPI research also support the notion that compensation for fragile self-esteem accounts for narcissists' drive to self-enhance. For example, some NPI studies have found that narcissists' self-reported self-esteem level fluctuates considerably over time (Rhodewalt, Madrian, & Cheney, 1998) and drops following failure experiences (e.g., Rhodewalt & Morf, 1998). Other studies have linked high NPI scores with low scores on covert, response latency-based measures of implicit self-esteem (e.g., Brown & Bosson, 2001; Jordan, Spencer, Zanna, Hoshino-Browne, & Correll, 2003). Papers in the social- personality literature have often adopted the assumption established previously in the clinical literature that narcissists are vulnerable, shame-prone individuals whose self-enhancement tendencies should be viewed as fundamentally defensive (e.g. Kernis, 2001; Raskin & Novacek, 1991). For example, Morf and Rhodewalt (2001b) concluded that "narcissists behave as if they live in a precarious environment, with threat lurking around every corner" (see also Rhodewalt, Tragakis, & Finnerty, 2006). However, the argument that NPI narcissists self-enhance to self-protect is difficult to reconcile with rapidly
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Enhancement of Eeg Signal

Enhancement of Eeg Signal

3.6 Removing Ocular Artifact of EEG signal using SOBI-RO The contaminated EEG signal keeps both original source signal and noise signal which is artifacts. Ocular artifac[r]

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Academic Enhancement Programs

Academic Enhancement Programs

The University has established itself as a pioneer in the implementation of technology across the curriculum. A host of multiprocessor campus servers supports the labs and educational programs. The University maintains 1.5 Gpbs Internet (1,500 Mbps), dual-housed for reliability and uptime. The network also supports video, voice and data across the campus. State-of- the-art routers and firewalls provide high- speed connectivity and security to Wide Area Network segments and are completely managed in-house. Administrators apply traffic-shaping, intrusion prevention and wireless security measures for access as secure as it is convenient.
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SPEECH ENHANCEMENT TECHNIQUES

SPEECH ENHANCEMENT TECHNIQUES

While transmitting these signals in which energy is stored at its harmonic frequencies gets attenuated and at the receiving side by using previous speech enhancement techniques these harmonics are usually considered as noise and they will be filtered and the signal information at the harmonic frequencies are lost, in order to prevent harmonics getting filtered we will be using a different method of speech enhancement technique called Harmonic Regeneration and Noise Reduction method.

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Survey on Image Enhancement

Survey on Image Enhancement

This method increases the enhancement while preserving the image detail. In this method curvelet transform function and histogram matching technique are used. The curvelet transform are used to fine the bright regions in the image. Firstly find out the bright region in the image, then histogram of the identified image are compared with the histogram of the original image. For this purpose wraparound discrete transform function are used. The curvelet transform is used for region identification and hard threshold is used for region separation. Let represent space domain curvelet then the curvelet transform of the image I is given by
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Resolution enhancement in MRI

Resolution enhancement in MRI

In this article, we introduce a novel method for resolution enhancement in MR images. The problem of image resolution, whether in regular cameras or in MRI, is a well-studied problem. There are many algorithms and methods [1–14] that deal with the problem of having low- resolution images limited by the available hardware and methods of acquisition. This article introduces a simplified model of the low-resolution images. Based on this model and the assumption that we can achieve subpixel shifts of the images, we present a novel approach and algorithm for the super-resolution reconstruction (SRR) problem and show that under some conditions perfect high-resolution reconstruction is definite (in the absence of noise).
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Resonant enhancement in leptogenesis

Resonant enhancement in leptogenesis

flavor off-diagonal correlations are built up even when they are vanishing initially and are crucial to capture the saturation of the enhancement. Therefore, it is necessary to go beyond the standard Boltzmann treatment, for instance by solving the two-time Kadanoff-Baym or the Wigner-space evolution equations, in order to obtain an accurate result for the lepton asymmetry in situations that differ from the simplified setup considered here. The two-momentum approach has been compared to the Kadanoff-Baym and Wigner descriptions for a scalar model in Ref. [109], finding agreement if the initial conditions are properly related, and up to terms suppressed by ∆M/ M ¯ (see Sec. 5). This approach allows one to separate the contribution to the asymmetry into contributions ascribed to oscillations and to mixing, as we will describe in the next section. A similar separation is possible within the Wigner approach, when considering the contributions to the asymmetry from the various eigenmodes discussed above separately. For further discussions of the sources of CP asymmetry, see the companion Chapter [54].
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