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"This new case-based book fills a gap in the literature by guiding the reader through the challenging clinical problems encountered in daily practice. Each case presents the clinician with a complete patient work-up that includes clinical history, radiological and clinical findings, treatment summary and suggested readings."

"Latar Belakang: Tujuan studi ini adalah membandingkan terapi antara siklofosfamid dan mikofenolat mofetil pada remisi nefritis lupus melalui sebuah laporan kasus berbasis bukti (evidence-based case report) yang diperoleh dari telaah sistematis dan meta-analisis.Metode: Metode yang digunakan pada studi ini adalah laporan kasus berbasis bukti menggunakan telaah sistematis dan meta-analisis. Pertanyaan klinis adalah manakah terapi imunosupresan yang memberikan hasil lebih baik pada remisi nefritis lupus; siklofosfamid atau mikofenolat mofetil? Untuk menjawab pertanyaan tersebut, kami melakukan pencarian dari situs PubMed dengan kata kunci ?lupus nephritis AND mycophenolate mofetil AND cyclophosphamide? dengan batasan telaah sistematis dan/atau meta-analisis, bahasa Inggris, dan hanya melakukan perbandingan secara spesifik terhadap kedua obat.Hasil: Dari pencarian awal, kami memperoleh 11 artikel telaah sistematis dan/atau meta-analisis terkait terapi nefritis lupus. Satu artikel dieksklusi karena berbahasa Yahudi, empat artikel lain dieksklusi karena tidak spesifik melakukan perbandingan terhadap mikofenolat mofetil dan siklofosfamid sehingga diperoleh enam studi yang ikut serta dalam telaah kritis dan diskusi laporan kasus kami.Kesimpulan: Berdasarkan bukti-bukti ilmiah yang diperoleh, mikofenolat mofetil memberikan efektivitas yang sama (non-inferior) dengan siklofosfamid dalam mencapai remisi pada nefritis lupus, tetapi memiliki tingkat keamanan yang lebih baik daripada siklofosfamid. Pasien pada kasus mendapatkan mikofenolat mofetil dan telah menunjukkan perbaikan secara klinis ke arah remisi pada evaluasi pasca-rawat inap

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Background: The aim of this case study is to compare the effectiveness between cyclophosphamide and mycophenolate mofetil to achieve remission of lupus nephritis in an evidence-based case report from meta-analyses.

Methods: Method in this case study is evidence-based case report using meta-analyses. Clinical question used in this paper is; which immunosuppressant gives better result in achieving remission in lupus nephritis patient: cyclophosphamide or mycophenolate mofetil? To answer this question, we search the evidence from PubMed with the keywords: ?lupus nephritis AND mycophenolate mofetil AND cyclophosphamide? with inclusion criteria of meta-analysis, written in English, and focused comparing cyclophosphamide and mycophenolate mofetil.

Results: From the searching method, we found 11 articles which is relevant. One has been excluded since it written in Hebrew, 4 articles excluded since are not focus answering the clinical question. At the end, 6 studies were included to the critical appraisal step.

Conclusion: Based on the evidences, mycophenolate mofetil is non-inferior to cyclophosphamide in achieving remission in lupus nephritis patients, but with the better safety profile. Patient in our case study get mycophenolate mofetil and shows better clinical condition towards remission as she are evaluated in the outpatient clinic."

"This atlas is a detailed guide to the imaging appearances of gliomas following treatment with neurosurgery, radiation therapy, and chemotherapy. Normal and pathological findings are displayed in detailed MR images that illustrate the potential modifications due to treatment. Particular emphasis is placed on characteristic appearances on the newer functional MR imaging techniques, including MR spectroscopy, diffusion-weighted imaging, and perfusion imaging. These techniques are revolutionizing neuroradiology by going beyond the demonstration of macroscopic alterations to the depiction of preceding metabolic changes at the cellular and subcellular level, thereby allowing earlier and more specific diagnosis. A key section comprising some 40 clinical cases and more than 500 illustrations offers an invaluable clinical and research tool not only for neuroradiologists but also for neurosurgeons, radiotherapists, and medical oncologists."

"ABSTRAKJumlah ulasan pengguna untuk sebuah aplikasi mobile bisa mencapai ribuan sehingga membutuhkan waktu banyak bagi pengembang aplikasi untuk memilah-milah dan mencari informasi yang penting untuk pengembangan aplikasi selanjutnya. Oleh karena itu penelitian ini bertujuan untuk melakukan klasifikasi secara otomatis terhadap ulasan pengguna aplikasi mobile yang dimiliki oleh PT PQR. Klasifikasi otomatis yang dilakukan pada penelitian ini menggunakan pendekatan machine learning. Fitur-fitur yang diekstrak dari data adalah unigram, bigram, star rating, panjang ulasan, serta rasio jumlah kata bersentimen positif dan negatif. Untuk algoritma klasifikasi digunakan Na ve Bayes, Support Vector Machine, Logistic Regression dan Decision Tree. Hasil percobaan menunjukkan bahwa fitur bigram dan star rating berdampak negatif pada performa klasifikasi. Algoritma Na ve Bayes menghasilkan precision terbaik sebesar 85,3, sedangkan algoritma Logistic Regression menghasilkan recall dan F-measure terbaik sebesar 85.

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ABSTRACTThe number of user reviews for a mobile app can reach thousands so it will take a lot of time for app developers to sort through and find information that is important for further app development. Therefore, this study aims to classify automatically mobile application user reviews of PT PQR. Automatic classification conducted in this study using machine learning approach. The features extracted from the data are unigram, bigram, rating score, review length, as well as the ratio of the number of words contain positive and negative sentiment. For classification algorithms, we used Na ve Bayes, Support Vector Machine, Logistic Regression and Decision Tree. The experimental results show that bigram and star rating has negative impact on the classifier performance. Na ve Bayes algorithm gives the best precision of 85,3 , while Logistic Regression gives the best recall and F measure of 85."