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"In addition to The Prophet and numerous other volumes written in English, Kahlil Gibran published several books in his native language, Arabic. Beginning in 1948 we have been issuing these in definitive, complete, authorized versions. They include Spirits Rebellious and Nymphs of the Valley. The largest of these is A Tear and a Smile, which contains fifty-six parables, stories, and poems in Gibran's wholly inimitable manner. Illustrated with four of his own paintings and drawings, A Tear and a Smile is the most important recent addition to the canon of this greatly loved writer."

"Smile sheets are often maligned as poor evaluation tools, despite their widespread use. Is it possible to make them a useful tool? This issue of Infoline answers a resounding yes to this question by showing you how to make the humble evaluation form into a power tool that can gather reaction data you can use to improve the design and delivery of your program or future programs. Moreover, once you create these tools as guided by this issue, you can easily modify them for any future program!"

"Paper ini menyajikan medote pendeteksi bibir dan senyum berdasarkan diagram tingkat kromatis RGB ternormalisasi. Metode ini menggunakan metode Viola-Jones yang populer untuk mendeteksi wajah. Untuk menghindari kesalahan positif, detektor mata diperkenalkan pada tahapan deteksi. Hanya kandidat wajah dengan mata yang telah terdeteksi yang dianggap sebagai wajah. Setelah wajah dideteksi, bagian bibir ditempatkan dengan menggunakan aturan geometris sederhana. Selanjutnya, batasan warna merah berdasarkan pada diagram kromatisitas RGB ternormalisasi digunakan untuk mengekstrak bibir. Teknik proyeksi digunakan untuk mendeteksi keadaan tersenyum. Dari hasil percobaan, metode yang diusulkan mencapai 97% untuk tingkat deteksi bibir dan 94% untuk tingkat deteksi senyum.

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AbstractThis paper presents a lip and smile detection method based-on the normalized RGB chromaticity diagram. The method employs the popular Viola-Jones detection method to detect the face. To avoid the false positive, the eye detector is introduced in the detection stage. Only the face candidates with the detected eyes are considered as the face. Once the face is detected, the lip region is localized using the simple geometric rule. Further, the the red color thresholding based-on the normalized RGB chromaticity diagram is proposed to extract the lip. The projection technique is employed for detecting the smile state. From the experiment results, the proposed method achieves the lip detection rate of 97% and the smile detection rate of 94%."

"This paper presents a lip and smile detection method based-on the normalized RGB chromaticity diagram. The method employs the popular Viola-Jones detection method to detect the face. To avoid the false positive, the eye detector is introduced in the detection stage. Only the face candidates with the detected eyes are considered as the face. Once the face is detected, the lip region is localized using the simple geometric rule. Further, the the red color thresholding based-on the normalized RGB chromaticity diagram is proposed to extract the lip. The projection technique is employed for detecting the smile state. From the experiment results, the proposed method achieves the lip detection rate of 97% and the smile detection rate of 94%.Paper ini menyajikan medote pendeteksi bibir dan senyum berdasarkan diagram tingkat kromatis RGB ternormalisasi. Metode ini menggunakan metode Viola-Jones yang populer untuk mendeteksi wajah. Untuk menghindari kesalahan positif, detektor mata diperkenalkan pada tahapan deteksi. Hanya kandidat wajah dengan mata yang telah terdeteksi yang dianggap sebagai wajah. Setelah wajah dideteksi, bagian bibir ditempatkan dengan menggunakan aturan geometris sederhana. Selanjutnya, batasan warna merah berdasarkan pada diagram kromatisitas RGB ternormalisasi digunakan untuk mengekstrak bibir. Teknik proyeksi digunakan untuk mendeteksi keadaan tersenyum. Dari hasil percobaan, metode yang diusulkan mencapai 97% untuk tingkat deteksi bibir dan 94% untuk tingkat deteksi senyum."

"[ABSTRAKKedokteran gigi estetik dipengaruhi berbagai faktor. Digital Smile Design (DSD) merupakan salah satu kemajuan ilmu dan teknologi yang sangat menunjang perawatan dalam bidang estetika. Dokter gigi dapat langsung memberi gambaran rencana perawatan pada pasien. Proporsi gigi anterior merupakan salah satu faktor penting dalam perencanaan perawatan dalam bidang estetik Penelitian bertujuan untuk menganalisis persepsi kepuasan pasien terhadap estetika desain senyum yang dihasilkan dengan dan tanpa panduan DSD.Subjek berjumlah 25 orang dengan indikasi rehabilitasi estetik diminta untuk menilai kepuasan estetika desain senyum dengan 2 metode mock up, yaitu dengan dan tanpa panduan Digital Smile Design serta menjawab kuesioner estetik yang sudah tervalidasi dengan nilai alpha cronbach 0,98. Mock up dengan panduan DSD menghasilkan kepuasan yang lebih baik dibandingkan dengan mock up tanpa panduan DSD.

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ABSTRACTIn the field of dentistry, aesthetic is influenced by various factors. Advances in science and technology, supports in aesthetic treatment, especially in this modern era, the dentist can immediately provide an overview plan of treatment. One of the main factor in planning an aesthetic treatment is the proportion of upper anterior teeth. Twenty-five subjects with the aesthetic rehabilitation indications were asked to assess the aesthetic satisfaction with 2 mock-up methods, with and without a guide of Digital Smile Design, followed by answering an aesthetic questionnaire that has been validated with a value of Cronbach?s alpha = 0.98.Patients? satisfaction with the aesthetic proportion of upper anterior teeth with a mock-up guide Digital Smile Design is better than a mock-up without Digital Smile Design., In the field of dentistry, aesthetic is influenced by various factors. Advances in science and technology, supports in aesthetic treatment, especially in this modern era, the dentist can immediately provide an overview plan of treatment. One of the main factor in planning an aesthetic treatment is the proportion of upper anterior teeth. Twenty-five subjects with the aesthetic rehabilitation indications were asked to assess the aesthetic satisfaction with 2 mock-up methods, with and without a guide of Digital Smile Design, followed by answering an aesthetic questionnaire that has been validated with a value of Cronbach’s alpha = 0.98.Patients’ satisfaction with the aesthetic proportion of upper anterior teeth with a mock-up guide Digital Smile Design is better than a mock-up without Digital Smile Design.]"

"Saat ini sekuritas derivatif menjadi bagian penting dalam dunia keuangan dan investasi. Salah satu contoh sekuritas derivatif adalah opsi call Eropa. Nilai opsi call Eropa dapat ditentukan dengan formula Black-Scholes. Formula Black-Scholes dipengaruhi antara lain oleh volatilitas harga saham, dan karena volatilitas harga saham tidak dapat diobservasi secara langsung, maka dilakukan penaksiran volatilitas. Taksiran volatilitas dengan menggunakan data nilai opsi dari pasar disebut implied volatility. Kurva implied volatility terhadap kenaikan harga patokan dikenal sebagai volatility smile. Volatility smile mengindikasikan ketidaksempurnaan formula Black-Scholes dalam mengakomodasi sifat volatilitas harga saham yang acak. Dalam skripsi ini akan dibahas tentang implied volatility dan volatility smile dari model Hull-White yang menggunakan asumsi volatilitas stokastik."