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Sumbangan al-Nadwi terhadap perkembangan sastera Islam
No full textWacana berkenaan Sastera Islam telah bermula sejak kehadiran Islam dan ia terus berkembang
sehingga era kesusasteraan moden masa kini. Sastera Islam dilihat sebagai satu gagasan yang dapat
memastikan karya sastera mahupun sebarang idea mengenai sastera sejajar dengan ajaran Islam.
Justeru, para sarjana bidang kesusasteraan khususnya yang menyedari kepentingan Sastera Islam
telah melakukan usaha-usaha memperkasakan gagasan tersebut dan antara yang terlibat ialah alNadwi. Makalah ini bertujuan mengupas sumbangan al-Nadwi terhadap perkembangan Sastera Islam.
Sumbangan al-Nadwi yang dimaksudkan merujuk kepada usaha yang dilakukannya sama ada secara
peribadi mahupun secara kolektif menerusi Liga Sastera Islam Sedunia (Rabitah al-Adab al-Islami al-
‘Alamiyah). Kajian ini menggunakan kaedah analisis teks melibatkan bahan-bahan penulisan
merangkumi sumber primer dan sekunder. Hasil kajian mendapati usaha al-Nadwi menghasilkan karya
sastera khususnya melibatkan genre sastera kanak-kanak (adab al-atfal), sastera kembara (adab alrihlat) dan autobiografi (al-sirah al-zatiyah) sebagai sumbangan besar al-Nadwi terhadap
perkembangan Sastera Islam. Selain usaha beliau secara personal itu, penglibatan aktif al-Nadwi
bersama para sarjana lain secara kolektif sejak sebelum penubuhan Liga Sastera Islam Sedunia
sehingga kewafatannya dilihat sebagai sumbangan beliau yang terbesar dalam perkembangan gagasan
Sastera Islam
Constrained local models (CLM) for facial feature extraction using CLNF and SVR as patch experts
No full textMethods for detection of facial characteristics have
again developed greatly in recent times. However, they also argue
in the presence of poor lighting conditions for amazing pose or
occlusions. A well-established group of strategies for facial
feature extraction is the Constrained Local Model (CLM).
Recently, they are bringing cascaded regression-built
methodologies out of favor. This is because the failure of
presenting nearby CLM detectors to model the highly complex
special signature look affected to a small degree by voice,
illumination, facial hair and make-up. This paper keeps tabs on
execution to collect facial features for the Constrained Local
Model (CLM). CLM model relies on patch model to collect facial
image demand features. In this paper patch model built using
Support Vector Regression (SVR) and Constrained Local Neural
Field (CLNF). We show that the CLNF model exceeds SVR by a
large margin on the LFPW database to identify facial landmarks
Edible Mushroom: Nutritional Properties, Potential Nutraceutical Values, and Its Utilisation in Food Product Development
No full text
The Effect of Zone, Gender, RAE and Fitness Variables Towards Fitness Status and Anthropometric Attributes of Children in Malaysia
No full textThis research aims to identify the influence of zone, gender, RAE, and fitness performance variables and their
relationship with physical fitness and anthropometric attributes of Malaysian children. Data were obtained from
participants aged years old in Malaysia. The participants completed the multiple of test (anthropometrics, standing
broad jump, twenty-meter speed, sit and reach and hand wall toss). Data interpretation was carried out using analysis
of variance as well as principal component analysis (PCA). The PCA was computed to determine the appropriate
components with an eigenvalue greater than (eigenvalue > .). Further analysis performed with varimax rotation
demonstrated that some domain variables are able to distinguish children performances. The finding indicates that
high performance children are attributed to considerable higher anthropometry and are lacking in flexibility as well as
leg and hand strength amongst other variables (p < .). The overall findings revealed that zone, gender, RAE, fitness,
and anthropometry do have an influenced toward children physical fitness performance in Malaysia. © , Springer
Nature Singapore Pte Ltd
