The Influence of Hard Skill and Soft Skill on Employee Performance.

This research aims to determine the influence of hard skills on employee performance. The effect of soft skills on employee performance. And the influence of hard skills and soft skills simultaneously. The population in this study were employees of CV. Kharisma Jaya, totaling 38 employees, used a sample of 38 respondents using total sampling technique. The method used uses path analysis with SPSS 25. From this research the results obtained: hard skills have a significant positive effect on employee performance. soft skills have a significant positive effect on employee performance. hard and soft skills simultaneously influence employee performance

The potential of artificial neural network technique in daily and monthly ambient air temperature prediction

Ambient air temperature prediction is of a concern in environment, industry and agriculture. The increase of average temperature results in natural disasters, higher energy consumption, damage to plants and animals and global warming. Ambient air temperature predictions are notoriously complex and stochastic models are not able to learn the non-linear relationships among the considered variables. Artificial Neural Network (ANN) has potential to capture the complex relationships among many factors which contribute to prediction. The aim of this study is to develop ANN for daily and monthly ambient air temperature prediction in Kerman city located in the south east of Iran. The mean, minimum and maximum ambient air temperature during the years 1961-2004 was used as the input parameter in Feed Forward Network and Elman Network. The values of R, MSE and MAE variables in both networks showed that ANN approach is a desirable model in ambient air temperature prediction, while the results of one day ahead mean temperature and one month ahead maximum temperature are more precise using Elman network

Charge Transfer Induced Polarity Switching in Carbon Nanotube Transistors

We probed the charge transfer interaction between the amine-containing molecules: hydrazine, polyaniline and aminobutyl phosphonic acid, and carbon nanotube field effect transistors (CNTFETs). We successfully converted p-type CNTFETs to n-type and drastically improved the device performance in both the ON- and OFF- transistor states utilizing hydrazine as dopant. We effectively switched the transistor polarity between p- and n- type by accessing different oxidation states of polyaniline. We also demonstrated the flexibility of modulating the threshold voltage (Vth) of a CNTFET by engineering various charge-accepting and -donating groups in the same molecule.Comment: 4 pages, 3 figure

Short communication: In vitro screening of Sonneratia alba extract against the oomycete fish pathogen, Aphanomyces invadans

Epizootic ulcerative syndrome (EUS), caused by the aquatic oomycete fish pathogen, Aphanomyces invadans (David and Kirk, 1997) is one of the OIE-listed diseases that leads to huge economic losses in the fish industry in the world. Traditional disease management strategies relying on chemotherapy continue to cause undesirable effects such as antibiotic resistance, environmental pollution and food security issues (Pandey et al., 2012). In addition, there has been no vaccine available to prevent the outbreak of EUS according to the Office International des Epizooties (OIE) (2015). Therefore, many current research focuses on alternative strategies such as using plants for EUS treatments (Fairweather, 1999; Campbell et al., 2001; Chowdhury and Rahman, 2013; Alam et al., 2014; Uthayakumar et al., 2014; Kumar et al., 2015; Yogeshwari et al., 2015)