Explore the vast range of titles available.

Job satisfaction is one of the important factors to be considered by the organization. The satisfaction felt by employees in their work will minimize the high number of turnover and absenteeism of employees and can increase productivity and employee loyalty to the organization. Research method is an analytical study with a quantitative approach and a cross sectional study design. Data collection is done by questionnaire. The population in this study is all employees who worked in the Hospital of Mother and Child X Ciputat. Sample in this study were 50 respondents. Data analysis was performed using univariate and bivariate. The results of the study showed that employees who felt dissatisfied worked at the Hospital of Mother and Child X Ciputat by 36.0%. The results also show that there are four variables that have a significant relationship with employee’s job satisfaction at the X Ciputat Mother and Child Hospital including salary, organizational policy, job security, and working conditions. Therefore the hospital is advised to conduct employee performance surveys periodically and continuously to evaluate employee performanceKey Words : Job satisfaction, employee, hospital

Background Institutional delivery has been considered one of the important strategies to improve maternal and child health and significantly reduce birth-related complications. However, it is still low in developing countries though there are some improvements. even among the community who has access to the health institutions weather health center and hospital including Somaliland. Hence, the aim of this study was to assess the level of institutional delivery service utilization and associated factors among women who gave birth in the last 12 months in Ga’an libah district, Marodijeh region, Somaliland. Methods The community-based cross-sectional study was conducted among women who gave birth in the last 12 months from September to December 2022. A simple random sampling technique was employed to select study participants from a total of sample population. Data was collected using semi-structural administered questionnaire through interviewing women. Data was collected with online mobile data collection (Kobo collect). SPSS version 25.0 was used for data management, entering and analysis. Bivariate and multivariable logistic regression models were fitted to determine the presence of a statistically significant association between independent variables and the outcome variable with p -value < 0.05. Result Level of Institutional delivery services utilization in Ga’an libah district was 53.9% [95% Cl 48.2–59.6] gave birth at health institutions. Women who can read and write local were (AOR 2.18, 95% CI 1.08–4.56, p <0.01), Women with their husband can be capable to read and write are [(AOR = 6.95, 95% Cl 2.82–21.58, p <0.002]). Additionally, ability to cost transportation for referral [AOR 5.21, 95% Cl 2.44–11.13, p <0.001]. not good services available [AOR 0.07, 95%Cl 0.01–0.10, p <0.02]. lack of maternal health and child knowledge [AOR 0.034, 95% Cl 0.02–0.57, p <0.01]. were observed associated with level of institutional deliver services utilization. Conclusion The institutional delivery service utilization was relatively high compared to national demographic health services in the study area. A large proportion of women gave both at home without a skilled attendant. Therefore, this finding has important policy implications since changes in the cost of the health service and perceived quality would mean changes in client satisfaction as well as their choice, as well emphasize to expectant women can receive medical advice and ambulance for referrals.

Google playstore is an official platform that provides applications to services, and not only that, user can perform assessments and reviews after using the Google playstore. One of the applications and services provided by Google playstore is online transportation. There's a couple of online transports available but at this time's research just scanned the official transport account of gojek and grab online. The data used in this study were application review data and service review data from the two online transportations which are processed using the K-Nearest Neighbor and Improved K-Nearest Neighbor algorithms by comparing the accuracy values. An experiment was conducted to divide the data with 5 K on the K-Fold Cross-Validation. The results of the comparison of the KNN application data were that Grab had a higher accuracy of 77.77% compared to Gojek which had an accuracy value of 66.24%. In terms of the Data Services using the IKNN algorithm, Grab had a higher accuracy value of 78.23% while Gojek had an accuracy value of 48.19%. Meanwhile, from the time complexity of the process, the IK-NN algorithm is better than the K-NN.

This study addressed the role of children in studying education is the use of education system. The goal of this study is to develop the international community-based research approach, which is a characteristic assessment involving non-participating observation, interviews and documentation. This research focuses on the models of teaching materials for training to use the full daily school system. The whole research focuses on the models of instructional media for learning through the use of a full day state education system. The data were analyzed to use a qualitative descriptive tool. The aim of data collection is to define teaching assessment by means of interview, review, assessment, documents and research instruments. Participants included 300 elementary school graduates, namely Sidenreng Rappang Regency, Enrekang Regency, Pinrang Regency, Barru Regency and Parepare City, South Sulawesi, Indonesia. The findings of the study showed no substantial associations between the introduction of a full day public education system, personal development, and a positive mindset. The researcher shall be allowed to examine the research questionnaire identified for this analysis and the field of activity research. On the other hand, the full days public school is substantially successful in the training program for elementary school children. Most of the functionality used in the originality of this research by the research instrument selected for the study are approved and used to understand the impact of mobile-based surveys on the character development to be significant predictors.

The work found the shape of spectral lines of electromagnetic radiation produced by a relativistic quantum of magnetic flux moving in a Josephson transmission line under the action of a purely fluctuating external current and dissipation. It is shown that even in the case of a Gaussian noise current, the shape of the spectral lines of electromagnetic radiation has an essentially non-Gaussian form. The limited dispersion of the frequency of electromagnetic radiation (which is determined by the pinching of the spectral lines of radiation) is proved, due to the relativistic properties of the quantum magnetic flux. This is another unique aspect of the relativistic quantum magnetic flux - as a carrier of electromagnetic radiation in the Josephson transmission line.

The frequency dependences of the Faraday rotation angle and the ellipticity angle are studied taking into account light absorption in dielectric media. The extreme values of the above values are determined, as well as the field of their application in dielectric media.

Skin cancer is one of the most common types of cancer globally, caused by prolonged exposure to the sun’s UV rays. Despite recent developments in research, early diagnosis, prevention, and treatment, skin cancer remains a significant health concern. This study proposes a multi-stage knowledge distillation-based deep learning technique with a layer fusion strategy to classify different types of skin lesion cells using the HAM10000 dataset. Augmentation and basic preprocessing steps have been applied to the HAM10000 dataset to enhance robustness. The applied multi-stage knowledge distillation incorporates intermediate features by measuring several loss values and coefficients to balance the corresponding losses. The proposed ViT and ConvNeXT-integrated teacher model leverages hybrid architectures derived from baseline models, combining convolutional feature extraction with transformer-based attention mechanisms. The distilled model, built using CNN and EfficientNet, achieved significant performance improvements over the baseline. The optimized model achieved an accuracy of 95.88%, F1 and AUC scores of 95.91% and 99.02%, respectively. Multi-stage knowledge distillation with intermediate exits and layer fusion improved model accuracy and performance metrics with the lowest training and inference times of 61 and 15 ms/step, respectively. Post-training quantization was applied to reduce the parameters and size of the distilled model. Multiple XAI techniques—Grad-CAM, Score-CAM, and LIME—have been explored to enhance the interpretability of the applied multi-stage knowledge distillation model. The implementation codes with the quantized and distilled model are available in the following repository: https://github.com/codewith-pavel/Optimizations .

Earlier studies indicated that the reactive MgO reduces shrinkage crack and porosity, and accelerates the hydration and strength development. Ferrochrome ash (FCA), a waste generated from ferrochrome industry, is a rich source of MgO apart from the aluminosilicate compositions and hence can fulfil the need for added reactive MgO. With this objective, several geopolymer mixes are prepared by varying mix proportions of FCA and FA from 20 to 80% in the source mix. The alkaline solutions of sodium hydroxide and sodium silicate were used to activate these sources. The effect of FCA on resulting geopolymer concrete mix is evaluated through workability, compressive strength, microstructural and mineralogical analysis. Based on these extensive studies it is observed that a mix containing FCA and FA in 60:40 ratio can be best suited for geopolymerization that resulted in the 28-day compressive strength of 29.3 MPa under ambient curing condition.

In this research work, we have varied several parameters of a carbon nanotube based tunneling field effect transistor (CNT-TFET) such as the dielectric constant of the gate insulator (κ), channel length, oxide thickness, doping level, and the nature of doping to investigate how the performance of the CNT-TFET is affected. The performance analysis has been done based on the following performance criteria: Subthreshold swing (SS), threshold voltage ( V T ), and on-current to off-current ratio (I on /I off ). In addition, we have also analyzed how linearity and distortion figures of merit such as second-order voltage intercept point (VIP2), third-order voltage intercept point (VIP3), third-order input intercept point (IIP3), and third-order intermodulation distortion (IMD3) are affected by parametric variation. By observing the impact of parametric variation on this large number of performance metrics, a compromise choice of structural parameters is possible depending on the application. Moreover, we have proposed an asymmetric doping design that suppresses the highly undesirable ambipolar behavior in CNT-TFET. In a real-space approach, the simulation study has been carried out using the elegant non-equilibrium Green’s function (NEGF) formalism considering tight-binding Hamiltonian.

In this study, the effect of nano-silica (NS) and silica fume (SF) on workability, setting time, compressive strength and microstructural properties of fly ash-ground granulated blast furnace slag (FA-GGBFS) based geopolymer concrete (GPC) is investigated. Five mixtures of each containing 0.5%, 1.0%, 1.5%, 2.0% and 2.5% NS and SF are prepared for this investigation. The optimum GPC mixture with NS resulted in compressive strength of 63 MPa and the SF modified GPC achieved a compressive strength of 59.59 MPa after 28 days of outdoor temperature curing (Avg. temp. 31.4℃). The hardened concrete samples are analyzed through X-ray diffraction (XRD), X-ray fluorescence (XRF), field emission scanning electron microscope (FESEM), Fourier transform infrared spectroscopy (FTIR), and petrographic examination, for the better understanding of geopolymer mineralogy, mechanism and microstructure. Results indicate that both NS and SF facilitated a higher degree of geopolymerization, leading to the densification of the geopolymer matrix which led to the improvement of the properties of FA-GGBFS based GPC.