Relationships of School Counsellors' Perceptions of Supervision Needs with Job Performance and Job Involvement

The general purpose of the present study was to examine the current status of full-time school counselors in the country. More specifically, this investigation attempted to study the relationships between school counselors' perceptions of supervision needs, job performance and job involvement. In the testing of the conceptual framework of perceptions of supervision needs, demographic variables were included. In addition, the study also sought to examine school counselors' preferences of supervisory emphasis and its relation to experience. A total of 268 of the randomly selected subjects responded, yielding a 67% response rate. A correlational design was used and the theoretical framework of the study was based on the developmental models of supervision. The perceptions of supervision needs was measured by the Perceptions of Supervision Needs Scale developed by the researcher; whereas job performance and job involvement were measured by the Counselor Rating Form-Short and the Job involvement Scale respectively. The three instruments showed reliability coefficients of .89, .88 and .91 respectively. For school counselors' preferences of supervisory emphasis areas, they were measured by the Supervisor Emphasis Rating Form-Revised which showed the reliability coefficients of the four scales ranging from .94 to .96

Ciphertext Policy Attribute based Homomorphic Encryption (CP-ABHERLWE): a fine-grained access control on outsourced cloud data computation

Recently, homomorphic encryption is becoming one of the holy grail in modern cryptography research and serve as a promising tools to protect outsourced data solutions on cloud service providers. However, most of the existing homomorphic encryption schemes are designed to achieve Fully Homomorphic Encryption that aimed to support arbitrary computations for only single-data ownership scenario. To bridge these gaps, this paper proposed a non-circuit based Ciphertext Policy-Attribute Based Homomorphic Encryption (CP-ABHER-LWE) scheme to support outsourced cloud data computations with a fine-grained access control under the multi-user scenario. First, this paper incorporates Attribute Based Encryption (ABE) scheme into homomorphic encryption scheme in order to provide a fine grained access control on encrypted data computation and storage. Then, the proposed CP-ABHER-LWE scheme is further extended into non-circuit based approach in order to increase the practical efficiency between enterprise and cloud service providers. The result shows that the non-circuit based CP-ABHER-LWE scheme has greatly reduced the computation time and ciphertext size as compared to circuit based approach. Subsequently, the proposed CP-ABHER-LWE scheme was proven secure under a selective-set model with the hardness of Decision Ring-LWEd,q,ई problem

Kesihatan mental

Masyarakat kita sering mengaitkan penyakit mental dengan kuasa di luar kawalan manusia seperti hantu, jin, syaitan dan makhluk halus lain. Seorang dukun atau bomoh dianggap mempunyai kepakaran merawat mereka yang ‘dirasuk’ ini serta memulihkan keadaan mental mereka seperti sedia kala. Apabila kita mengenali atau menamakan sesuatu tingkah laku sebagai kecelaruan tingkah laku, kita sering berpandukan kepada apa yang dikenali sebagai norma masyarakat. Bagi mereka yang mengikuti apa yang dilakukan oleh masyarakat, maka perbuatan mereka dianggap normal. Sebaliknya sekiranya apa yang dilakukan oleh seseorang itu bertentangan dengan kelaziman masyarakat, ia dikatakan menyimpang daripada norma masyarakat ataupun dinamakan abnormal. Buku ini membincangkan beberapa jenis penyakit mental dan bagaimana psikoterapi dan perubatan moden digunakan dalam rawatan penyakit mental

The effects of inward and outward FDI on domestic investment:Evidence using panel data of ASEAN-8 countries.

In view of the changing FDI landscape, in particular, a drastic increase in outward FDI from developing and transition economies in recent years, this paper attempts to explore the possible impacts of outward FDI other than domestic savings and inward foreign direct investment on domestic investment. The major contribution of this study is that it is the first effort to empirically analyse the short- and long-run effects of the outward FDI using panel data of ASEAN–8 countries, which could provide useful policy implications for governments at both regional and international levels to achieve inclusive growth and sustainable development. Using pool mean group analysis, this paper finds that the gross domestic saving, inward FDI and outward FDI have a positive long-run impact on the gross domestic investment even though their long-run estimates are inelastic. The empirical study reveals that both inward FDI and outward FDI, to some extent, are complementary to the gross domestic investment

Effects of nano-SiC addition on the superconducting properties of magnesium diboride

In this study, we report the results on phase formation, microstructures, and superconducting properties of a series of MgB2 samples with different level of SiC additions. The polycrystalline samples were prepared via solid state reaction by mixing magnesium, boron and silicone carbide powders according to the ratio of Mg:B:SiC = 1:2:x. XRD spectra showed that MgB2 is the primary phase while Mg2Si, MgO and MgB4, together with some unreacted SiC are the secondary phases as the addition increases. The presence of Mg2Si became more significant as the addition level increased. SEM images showed smaller grains as the addition level increases indicating more grain boundaries were formed. The Tc was as low as 30.5K for x=15wt%. The field dependence of Jc showed that x=1wt% sample gave the best performance at both 5K and 20K

Optimization of palm oil physical refining process for reduction of 3-monochloropropane-1,2-diol (3-MCPD) ester formation

The reduction of 3-monochloropropane-1,2-diol (3-MCPD) ester formation in refined palm oil was achieved by incorporation of additional processing steps in the physical refining process to remove chloroester precursors prior to the deodorization step. The modified refining process was optimized for the least 3-MCPD ester formation and acceptable refined palm oil quality using response surface methodology (RSM) with five processing parameters: water dosage, phosphoric acid dosage, degumming temperature, activated clay dosage, and deodorization temperature. The removal of chloroester precursors was largely accomplished by increasing the water dosage, while the reduction of 3-MCPD esters was a compromise in oxidative stability and color of the refined palm oil because some factors such as acid dosage, degumming temperature, and deodorization temperature showed contradictory effects. The optimization resulted in 87.2% reduction of 3-MCPD esters from 2.9 mg/kg in the conventional refining process to 0.4 mg/kg, with color and oil stability index values of 2.4 R and 14.3 h, respectively

X-ray powder diffraction study on the MgB2 superconductor reacted with nano-SiC: the effects of sintering temperature

SiC added MgB2 polycrystalline samples were synthesized at low (650°C) and high (850°C) temperatures in order to study the sintering effect on the phase formation and superconducting properties. The MgB2 bulks with additions of 0wt%, 1wt%, 3wt% and 5wt% SiC were studied with powder X-ray diffraction technique. We observed that MgB2 remained as the primary phase for both sintering temperatures in all samples with the presence of MgO and Mg2Si as the main impurities. Some diffraction peaks associated with unreacted SiC is also noticeable. The relative intensity of the Mg2Si peaks was found to decrease in samples sintered at higher temperature. Temperature dependent magnetic moment measurements showed that the superconducting transition temperature, Tc decreases as the SiC addition level increases while lower sintering temperature degrades Tc to a greater extent. The changes in the physical properties is discussed based on the results of phase formation, full width half maximum (FWHM), lattice parameter and crystallite size

Large-Scale Location-Aware Services in Access: Hierarchical Building/Floor Classification and Location Estimation using Wi-Fi Fingerprinting Based on Deep Neural Networks

One of key technologies for future large-scale location-aware services in access is a scalable indoor localization technique. In this paper, we report preliminary results from our investigation on the use of deep neural networks (DNNs) for hierarchical building/floor classification and floor-level location estimation based on Wi-Fi fingerprinting, which we carried out as part of a feasibility study project on Xi'an Jiaotong-Liverpool University (XJTLU) Campus Information and Visitor Service System. To take into account the hierarchical nature of the building/floor classification problem, we propose a new DNN architecture based on a stacked autoencoder for the reduction of feature space dimension and a feed-forward classifier for multi-label classification with argmax functions to convert multi-label classification results into multi-class classification ones. We also describe the demonstration of a prototype DNN-based indoor localization system for floor-level location estimation using real received signal strength (RSS) data collected at one of the buildings on the XJTLU campus. The preliminary results for both building/floor classification and floor-level location estimation clearly show the strengths of DNN-based approaches, which can provide near state-of-the-art performance with less parameter tuning and higher scalability.Comment: 5 pages, 6 figures, FOAN 2017 (Munich, Germany, Oct. 2017

Preferences and the effectiveness of behavior-change interventions: Evidence from adoption of improved cookstoves in India

Preference heterogeneity can influence behavior in economically significant ways, thereby influencing the effectiveness of environmental policies or interventions. We test this hypothesis in the context of efficient cooking technology in India. We use stated preference methods to first characterize household tastes for various features of a more efficient cooking technology. We then relate these typically unobserved preferences to households' adoption decisions during an experiment that allowed them to choose between two alternatives with different features. Stated preferences help predict actual adoption: households initially classified as uninterested are less likely to purchase and use any new technology, while relative distaste for pollution is linked to selection of a cleaner technology. Because of this influence on adoption behaviors, preference heterogeneity has important implications for how environmental policies can impact various health and development outcomes