AUTOMATIC QUESTION GENERATION (AQG) DARI DOKUMEN TEKS BAHASA INDONESIA BERDASARKAN NON-FACTOID QUESTION

Automatic Question Generation (AQG) adalah sistem yang dapat membangkitkan pertanyaan secara otomatis dari teks atau dokumen dengan menggunakan metode atau pola-pola tertentu. Diharapkan sistem AQG yang dikembangkan bekerja seperti halnya manusia membuat pertanyaan setelah diberikan suatu teks. Manusia dapat membuat pertanyaan, dikarenakan manusia dapat memahami teks yang diberikan dan berdasarkan pengetahuanpengetahuan yang dimilikinya. Untuk mengembangkan sistem AQG penelitian ini, dilakukan kombinasi beberapa metode diantaranya algoritme Naive Bayes Classifier untuk mengklasifikasikan kalimat ke dalam jenis kalimat non-factoid. Chunking labelling untuk memberikan label pada masing-masing kalimat dari hasil klasifikasi dan pendekatan template untuk mencocokan hasil kalimat dengan template pertanyaan yang dibuat. Hasil pertanyaan yang dihasilkan oleh sistem akan diukur berdasarkan paramater yang telah ditentukan yang didasarkan atas pengukuran recall, precision dan F-Measure. Dengan adanya sistem AQG ini diharapkan dapat membantu guru mata pelajaran Biologi untuk membuat pertanyaan secara otomatis dan efektif serta efisien

Cutaneous leishmaniasis in Karak, Pakistan: Report of an outbreak and comparison of diagnostic techniques

A total of 339 patients with clinically suspected cutaneous leishmaniasis (CL) were studied from March to April, 2010 in three villages of Karak, Khyber Pakhtunkhwa, Pakistan where an epidemic of the disease was in question. Using polymerase chain reaction (PCR), 78.17% (265/339) were observed having CL. Microscopically, however, only 43.06% (146/339) were diagnosed with the disease. This study reports and confirms epidemic of CL in both gender of all ages in the area. Females (70.94%) were noted to be predominantly affected as compared to males (29%). Clinically, 12.38% of patients had more than three lesions, 29.20% had two lesions, while 58.40% had only single lesion. Most lesions were found on exposed surfaces of the body (predominantly hands, face and feet). The present study confirms that PCR was more sensitive than microscopic examination.Key words: Epidemic, cutaneous leishmaniasis, polymerase chain reaction (PCR), microscopy, Pakistan

ANALISIS SENTIMEN DAN KLASIFIKASI KATEGORI TERHADAP TOKOH PUBLIK PADA TWITTER

Keberadaan Twitter telah digunakan secara luas oleh berbagai lapisan masyarakat dalam beberapa tahun terakhir. Kebiasaan masyarakat mem-posting tweet untuk menilai tokoh publik adalah salah satu media yangmerepresentasikan tanggapan masyarakat terhadap tokoh publik. Menjelang pemilihan umum, biasanya ada pihak-pihak tertentu yang ingin mengetahui sentimen dan tanggapan terhadap tokoh publik. Tokoh publik yangdinilai adalah tokoh yang dianggap layak dan memiliki kemampuan untuk dipilih menjadi pemimpin. Oleh karena itu, penelitian ini mencoba menganalisis tweet berbahasa Indonesia yang membicarakan tentang tokohpublik. Analisis dilakukan dengan melakukan klasifikasi tweet yang berisi sentimen masyarakat tentang tokoh tertentu. Metode klasifikasi yang digunakan dalam penelitian ini adalah Naive Bayes Classifier. Naive BayeClassifier dikombinasikan dengan fitur untuk dapat mendeteksi negasi dan pembobotan menggunakan term frequency serta TF-IDF. Klasifikasi tweet pada penelitian ini diperoleh berdasarkan kombinasi antara kelasentimen dan kelas kategori. Klasifikasi sentimen terdiri dari positif dan negatif sedangkan klasifikasi kategori terdiri dari kapabilitas, integritas, dan akseptabilitas. Hasil pengujian pada aplikasi yang dibangun dan padatools RapidMiner memperlihatkan bahwa akurasi dengan term frequency memberikan hasil akurasi yang lebih baik daripada akurasi dengan fitur TF-IDF. Metode Support Vector Machine menghasilkan akurasi performansyang lebih baik daripada metode Naive Bayes baik dalam klasifikasi sentimen maupun dalam klasifikas kategori. Namun demikian, secara keseluruhan penggunaan metode Support Vector Machine dan Naive Baye sama-sama memiliki performansi yang cukup baik untuk melakukan klasifikasi tweet

ANALISIS SENTIMEN DAN KLASIFIKASI KATEGORI TERHADAP TOKOH PUBLIK PADA TWITTER

Keberadaan Twitter telah digunakan secara luas oleh berbagai lapisan masyarakat dalam beberapa tahun terakhir. Kebiasaan masyarakat mem-posting tweet untuk menilai tokoh publik adalah salah satu media yangmerepresentasikan tanggapan masyarakat terhadap tokoh publik. Menjelang pemilihan umum, biasanya ada pihak-pihak tertentu yang ingin mengetahui sentimen dan tanggapan terhadap tokoh publik. Tokoh publik yangdinilai adalah tokoh yang dianggap layak dan memiliki kemampuan untuk dipilih menjadi pemimpin. Oleh karena itu, penelitian ini mencoba menganalisis tweet berbahasa Indonesia yang membicarakan tentang tokohpublik. Analisis dilakukan dengan melakukan klasifikasi tweet yang berisi sentimen masyarakat tentang tokoh tertentu. Metode klasifikasi yang digunakan dalam penelitian ini adalah Naive Bayes Classifier. Naive BayeClassifier dikombinasikan dengan fitur untuk dapat mendeteksi negasi dan pembobotan menggunakan term frequency serta TF-IDF. Klasifikasi tweet pada penelitian ini diperoleh berdasarkan kombinasi antara kelasentimen dan kelas kategori. Klasifikasi sentimen terdiri dari positif dan negatif sedangkan klasifikasi kategori terdiri dari kapabilitas, integritas, dan akseptabilitas. Hasil pengujian pada aplikasi yang dibangun dan padatools RapidMiner memperlihatkan bahwa akurasi dengan term frequency memberikan hasil akurasi yang lebih baik daripada akurasi dengan fitur TF-IDF. Metode Support Vector Machine menghasilkan akurasi performansyang lebih baik daripada metode Naive Bayes baik dalam klasifikasi sentimen maupun dalam klasifikas kategori. Namun demikian, secara keseluruhan penggunaan metode Support Vector Machine dan Naive Baye sama-sama memiliki performansi yang cukup baik untuk melakukan klasifikasi tweet

Current Trends in High-Grade Gliomas

This is an overview of the current trends in the management of high-grade gliomas based on the current evidence available at the time of compiling this chapter in the first quarter of 2016, by a dedicated, high-volume Neurosurgical Oncology team of clinical and surgical Neuro-Oncologists based in central Pennsylvania

Impact of cardiac interoception cues and confidence on voluntary decisions to make or withhold action in an intentional inhibition task

Interoceptive signals concerning the internal physiological state of the body influence motivational feelings and action decisions. Cardiovascular arousal may facilitate inhibition to mitigate risks of impulsive actions. Baroreceptor discharge at ventricular systole underpins afferent signalling of cardiovascular arousal. In a modified Go/NoGo task, decisions to make or withhold actions on ‘Choose’ trials were not influenced by cardiac phase, nor individual differences in heart rate variability. However, cardiac interoceptive awareness and insight predicted how frequently participants chose to act, and their speed of action: Participants with better awareness and insight tended to withhold actions and respond slower, while those with poorer awareness and insight tended to execute actions and respond faster. Moreover, self-reported trait urgency correlated negatively with intentional inhibition rates. These findings suggest that lower insight into bodily signals is linked to urges to move the body, putatively by engendering noisier sensory input into motor decision processes eliciting reactive behaviour

3D Bioprinted cancer models: Revolutionizing personalized cancer therapy

After cardiovascular disease, cancer is the leading cause of death worldwide with devastating health and economic consequences, particularly in developing countries. Inter-patient variations in anti-cancer drug responses further limit the success of therapeutic interventions. Therefore, personalized medicines approach is key for this patient group involving molecular and genetic screening and appropriate stratification of patients to treatment regimen that they will respond to. However, the knowledge related to adequate risk stratification methods identifying patients who will respond to specific anti-cancer agents is still lacking in many cancer types. Recent advancements in three-dimensional (3D) bioprinting technology, have been extensively used to generate representative bioengineered tumor in vitro models, which recapitulate the human tumor tissues and microenvironment for high-throughput drug screening. Bioprinting process involves the precise deposition of multiple layers of different cell types in combination with biomaterials capable of generating 3D bioengineered tissues based on a computer-aided design. Bioprinted cancer models containing patient-derived cancer and stromal cells together with genetic material, extracellular matrix proteins and growth factors, represent a promising approach for personalized cancer therapy screening. Both natural and synthetic biopolymers have been utilized to support the proliferation of cells and biological material within the personalized tumor models/implants. These models can provide a physiologically pertinent cell–cell and cell–matrix interactions by mimicking the 3D heterogeneity of real tumors. Here, we reviewed the potential applications of 3D bioprinted tumor constructs as personalized in vitro models in anticancer drug screening and in the establishment of precision treatment regimens

Metallointercalator [Ru(dppz)2(PIP)]2+ Renders BRCA Wild-Type Triple-Negative Breast Cancer Cells Hypersensitive to PARP Inhibition

There is a need to improve and extend the use of clinically-approved poly(ADP-ribose) polymerase (PARP) inhibitors (PARPi), including for BRCA wild-type triple-negative breast cancer (TNBC). The demonstration that ruthenium(II) polypyridyl complex (RPC) metallo-intercalators can rapidly stall DNA replication fork progression provides the rationale for their combination alongside DNA damage response (DDR) inhibitors to achieve synergism in cancer cells. The aim of the present study was to evaluate use of the multi-intercalator [Ru(dppz)2(PIP)]2+ (dppz = dipyrido[3,2-a:2′,3′-c]phenazine, PIP = (2-(phenyl)imidazo[4,5-f][1,10]phenanthroline, Ru-PIP) alongside the PARP inhibitors (PARPi) olaparib and NU1025. Cell proliferation and clonogenic survival assays indicated a synergistic relationship between Ru-PIP and olaparib in MDA-MB-231 TNBC and MCF7 human breast cancer cells. Strikingly, low dose Ru-PIP renders both cell lines hypersensitive to olaparib, with a 300-fold increase in olaparib potency in TNBC; the largest non-genetic PARPi enhancement effect described to date. Negligible impact on the viability of normal human fibroblasts was observed for any combination tested. Increased levels of DNA double-strand break (DSB) damage and olaparib abrogation of Ru-PIP activated pChk1 signalling is consistent with PARPi-facilitated collapse of Ru-PIP-associated stalled replication forks. This results in enhanced G2/M cell-cycle arrest, apoptosis and decreased cell motility for the combination treatment compared to single-agent conditions. This work establishes that an RPC metallo-intercalator can be combined with PARPi for potent synergy in BRCA-proficient breast cancer cells, including TNBC

Outcome of early cardiopulmonary resuscitation in out-of-hospital cardiac arrest managed in Universiti Kebangsaan Malaysia Medical Centre

Out-of-hospital cardiac arrest (OHCA) patients require immediate cardiopulmonary resuscitation (CPR). Early initiation of CPR and defibrillation before arrival at Emergency Department (ED) increases the chance of survival from sudden cardiac arrest. The main objective of this study was to identify the factors that influenced the outcome of early cardiopulmonary resuscitation (CPR) in out-of-hospital cardiac arrest (OHCA) patients managed at the ED of Universiti Kebangsaan Malaysia Medical Centre (UKMMC). The second objective was to determine the incidence of CPR initiated by the public prior to ambulance arrival. The present study was a one-year cross-sectional study. The OHCA patients were identified from the ED resuscitation logbook. Patients’ medical records were used to obtain details of the resuscitation. Factors recorded included: aetiology of arrest, initiation of on-scene CPR, use of automated external defibrillators (AEDs), mode of transportation and the incidence of return of spontaneous circulation (ROSC) in the ED. Categorical data was analysed using chi-square and Fisher exact tests. Nine patients out of 98 had early CPR. Three patients achieved ROSC. Gender was significantly associated with ROSC (p-value=0.015). More patients who received early CPR achieved ROSC compared to those who received late CPR. The provision of early CPR and usage of AEDs by the public is still low. Female gender had a positive influence on ROSC. Efforts are required to increase the awareness and involvement of the public in initiating early CPR prior to the arrival of ambulance service

The Representation of Fascism in Bowden’s Novel Assassin’s Creed: Unity. Dery Ahmad Fajar Reg. Number : 137010059

This research tells about fascism within a novel entitled Assassin’s Creed: Unity . The novel was written by Oliver Bowden. The writer chooses the novel because the theme of fascism and related research are few in number and the novel itself is a rare object researcher in Indonesia prefer to analyze. The writer thinks that fascism and ideology and how the author deliver it with a spices of fantasy between 2 urban legend organization is interesting. The writer decides to conduct this research to fin d how the author represent fascism in the novel which isn’t supposed to surface before world war I. The writer uses William Ebenstein Theory of 7 Principle element of fascist outlook to answer the problem. Furthermore, the writer uses intrinsic element as data to match Ebenstein’s fascism theory to further develop this research. The data of this book which fall into intrinsic elements are plot, characters, and setting. Each of these data can be found within sentences, words, and narration. Later the data ar e placed and categorized in a table respectively with one or two Ebenstein’s fascism outlook to make the data analysis, finding and conclusion easier. Qualitative method is used to described the quotation taken from the novel and categorize them based on E benstein’s theory in data analysis. Concerning the term and theory of representation, representation only used as a general term. The writer won’t delve deeper as far as using it as one main theory for this research, though the full detail of representatio n theory and term shall be explained in chapter II. The main theory and focus of this research is William Ebenstein fascism theory. The purpose of this research is to show whether fascism is indeed present or not in this novel and how does the author repre sent fascism in this novel if fascism is present. Furthermore, a sub - title disclosing the writer thought about fascism is present in discussion. The research also provides some insight on how fascism can be called as one of the worst ideology beside anarch ism, communism, socialism and those that have some similarity with fascism. Keywords: Novel, Ideology, Representation, Fascis