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Identification of Psychological Training Strategies Essential for Volleyball Performance
No full textThis chapter highlights the contribution of certain training psychological strategic elements in the prediction of
players performance during the indoor volleyball tournament. It has been demonstrated from the study findings
that training strategic variables that included attentional control, imagery, relaxation, activation, goal setting,
emotional control, automaticity as well as self-talk are found to be non-trivial in predicting the performance of the
elite volleyball players. It has also been demonstrated from the current finding that linear-based SVR is able to
yield an accurate prediction of the performance of the players. It is then inferred that the ability of an athlete to
develop a personal strategy for dealing with adversity could to a larger extend assist the athlete in delivering good
performance during competition in this sport. © 2021, The Author(s), under exclusive license to Springer Nature
Singapore Pte Ltd
Adaptive latent fingerprint image segmentation and matching using chan-vese technique based on EDTV model
No full textBiometrics such as face, fingerprint , iris, voice and palm prints are the most widely used, and as well
the fingerprints are one of the most frequently used biometrics to identify individuals and authenticate
their identity. commonly categorized into three different categories which are rolled, plain and latent
fingerprints. The reliability of image segmentation for latent fingerprint which is used in criminal
issues still challenges, The difficulty of latent fingerprint image segmentation mainly lies in the
poor quality of fingerprint patterns and the presence of the noise in the background, This research has
investigated the fingerprint segmentation and matching based on EDTV and presented Chan-vese
active contour segmentation technique, in addition, presented NIST SD27 for grayscale dataset of
latent fingerprint which is standard by National Institute of Standard and Technology, where is
dataset have varieties of fingerprint image samples, a total about 258 of latent fingerprint , those
samples collected from crime scenes and matching fingerprint and shown the performance of
matching accuracy ROC and CMC curves, To evaluate the performance of the matching ROC and CMC
curves has been deployed, The area under curve (AUC) of the ROC of the good images performance is
72% with CMC rank1-idnetification of 42% and rank-20 identification of 79%. the result shows that the
latent fingerprint method performance is better for good latent fingerprint images compare to bad
and ugly images, while there is no much difference for bad and ugly image
The mediating role of place attachment on the perceived value & destination loyalty relationship: A conceptual model
No full textTerengganu is one of the states in Malaysia that possesses the advantages of having beautiful islands and delicious local foods Despite having these competitive advantages. recent statistics reported that Terengganu is among the least states in Malaysia receiving local tourist arrivals. Therefore. it is important to improve destination loyalty to increase domestic tourist arrivals to Terengganu. Hence, the study's main objective is to develop a new conceptual model comprising the relationship of perceived value, place attachment. and destination loyalty among domestic tourists In Terengganu. Most importantly. this study proposes to examine the mediating effect of place attachment on the relationship between perceived value and destination loyalty because limited number of studies have tested this mediating effect. Thus, the study introduces a new conceptual model to researchers and practitioners to better understand the concept of perceived value and place attachment to enhance domestic touring' loyalty to Terengganu
Automatic chili seeds remover for household and small-medium enterprises as an alternative of hand cutting method
No full textChili is the main ingredient and one of the spices that is widely used to improve flavor in the meal.
Spicy meals provided with dried chili make some people feel spicy yet delicious and they become more
desirable to be eaten. Naturally, chili contains a large number of seeds and it became more challenging
to separate the seeds from the chili. It takes longer time and a lot of manpower to prepare dried chili
paste manually. Hence to reduce meal preparation time, some people opted for the use of instant chili
paste in their cooking. However, the chili paste contains additional preservatives to ensure longer shelf
life. This situation is unfavorable for the consumer's health. On the other hand, the existing chili seed
remover is large and expensive and only suitable for the large food industry application. The purpose of
this study is to design and develop a beta prototype of an automatic dried chili seed remover machine
(ADCSRM) which is ergonomic and portable and can be tested with different weights of dried chili per
operation. It is also can help the small industry and the housewife to optimize their works. ADCSRM is
designed to cut dried chili and remove the seeds by using specifically designed blade. This machine has
seven main parts and used a blender motor with adjustable speed function. The result of this study
showed that the ADCSRM machine can separate a minumum of 50 g up to 250 g of dried chili per
operation. The maximum time for each operation is around 40-45 s depending on the weight of dried chili input. The machine was invented in a small size with a simple mechanism and easy to use. In
conclusion, by using ADCSRM it can reduce the meal preparation time, number of labor as well as the
cost of chili paste preparation
Antibiogram and molecular typing of multidrug-resistant staphylococcus aureus isolated from veterinarians and livestock farmers
No full textDetection, antibiogram and molecular characterization of MRSA and MSSA isolated from swine
No full textThe emergence of bacteria with antimicrobial resistance traits such as methicillin-resistant
Staphylococcus aureus (MRSA) in food-producing animals is a significant public health concern. The
aim of this study is to determine the prevalence rate, antibiotic susceptibility and the molecular
characteristics of Staphylococcus aureus (S. aureus) in swine from selected swine farms in Peninsular
Malaysia. The oral and nasal swabs of 200 live swine were collected. Screening and isolation of S.
aureus isolates were carried out using phenotypic identification techniques. The identity of the
bacteria isolates was confirmed by detection of nuc gene (S. aureus) and mecA gene (MRSA).
Antibiogram of S. aureus against 19 antibiotics was developed using Kirby-Bauer test. Molecular
detections of antimicrobial resistance and virulence genes as well spa typing of S. aureus was carried
out. 25% of swine were carrying S. aureus with 9% being MRSA carriers. S. aureus and MRSA have
shown high resistance against clindamycin, tetracycline, chloramphenicol, oxacillin, penicillin,
erythromycin, cefoxitin and amoxicillin/clavulanate. Antimicrobial resistance and virulence genes, including tetK, tetL, tetM, ermA, ermB, ermC, msrA and scn genes were detected. 93% of S. aureus were
multiple-drug resistant (MDR), suggesting the emergence of MDR S. aureus in swine in Malaysia
Discriminant Validity: A Comparison of CBSEM and Consistent PLS using Fornell & Larcker and HTMT Approaches
No full textDiscriminant validity is recognized as the essential approach in structural equation modelling method
to determine the construct uniqueness in a research model. Using this approach, the applied
researchers can identify the distinction role on each construct applied in the study. To date, there are
several available approaches has been introduced to perform the discriminant validity. In applied
research, the Fornell & Larcker approach is known as the method of choice for discriminant validity.
Thus, this study attempt to make a comparison Fornell & Larcker approach with HTMT using CBSEM
and Consistent PLS. From here, the results revealed that HTMT based Consistent PLS approach is
comparable to Fornell & Larcker based CBSEM but not empirical standard to Fornell & Larcker based
Consistent PLS. The discussion and recommendations also provided for this justifications