Adapting Text Categorization for Manifest based Android Malware Detection

There are mainly three different approaches to detect malwares: i) static, ii) dynamic, and iii) hybrid. Static approach uses static source of the program without executing it. Dynamic approach, on the other hand, executes the program in a controlled environment and obtains information from operating system during runtime. Hybrid approach, as its name implies, is the combination of these two approaches. Although static approach may seem to have some disadvantages, it is highly preferred because of its lower cost. In this paper, we assume that obfuscated malware is processed by dynamic analysis and perform static malware detection based on text categorization methods. To reach our goal, we apply text mining techniques like feature extraction by using bag-of-words, n-grams, etc. from \texttt{manifest content} of programs to investigate the effectiveness of the malware detection. Our experimental results revealed that our approach is capable of detecting malicious applications with an accuracy between 94.0% and 99.3%

Music Genre Classification with Word and Document Vectors

25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEYWOS: 000413813100009In these days, music genre classification (MGC) is a quite popular research field. The main goal of the MGC studies is automatically detecting music genre (eg., rap, rock). In literature, features are generally extracted from the music's melodic content or lyrics for this task. In this study, we have performed lyrics based MGC on a Turkish dataset. We have just used lyrics as feature source and considered the MGC as a classical text classification problem. However, we represented the features using word (word2vec) and document (doc2vec) vector methods which are quite popular recently. Also, we have compared these methods with traditional Bag of Words (BoW) feature model. In addition, we have investigated the impact of preprocessing steps and vector dimension on both word and document vectors. We have conducted experiments on Support Vector Machine algorithm. Our experimental results show that word vector can be employed for feature representation.Turk Telekom, Arcelik A S, Aselsan, ARGENIT, HAVELSAN, NETAS, Adresgezgini, IEEE Turkey Sect, AVCR Informat Technologies, Cisco, i2i Syst, Integrated Syst & Syst Design, ENOVAS, FiGES Engn, MS Spektral, Istanbul Teknik Uni

Word2vec and Clustering based Twitter Sentiment Analysis

International Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 28-30, 2018 -- Inonu Univ, Malatya, TURKEYWOS: 000458717400037High dimensionality of feature space is major problem due to the sentiment analysis is usually considered as text classification problem. In this study, we investigated the applicability of "word2vec and clustering based text representation" method for Twitter sentiment analysis. We conducted experiments on two different datasets that are comprised of Turkish Twitter feeds from which one is subject -dependent and the other one is subject -independent. In classification phase, we utilized Support Vector Machine (SVM) algorithm. Experimental results show that the W2VC has been quite successful and has provided a tremendous advantage in terms of time and performance as it reduces feature space, but it does not provide enough success in terms of accuracy.Inonu Univ, Comp Sci Dept, IEEE Turkey Sect, Anatolian Sc

Minimal clinically important difference of commonly used hip-, knee-, foot-, and ankle-specific questionnaires: a systematic review

Objective: Minimal clinically important difference (MCID) has become the most important psychometric factor for interpreting change in individual's responses over time from the patient's perspective, evaluating study results and planning sample sizes. The purpose was to synthesize and critically appraise MCID of the most frequently used hip-, knee-, foot-, and ankle-specific patient-reported outcomes (PROs)

Evaluation of the Antioxidant Potency of Seseli L. Species (Apiaceae)

Objectives: In the present study, the antioxidant potency of ethyl acetate (AcOEt) and methanol (MeOH) extracts from the aerial parts of Seseli L. species was investigated for the first time. Materials and Methods: Seseli species L. such as Seseli andronakii Woronow ex Schischk., S. campestre Besser, S. corymbosum Boiss. \& Heldr., S. gummiferum subsp. gummiferum Pall. ex Sm., S. hartvigii Parolly \& Nordt, S. libanotis (L.) W.Koch, S. petraeum M.Bieb., S. peucedanoides (M.Bieb.) Koso-Pol., S. resinosum Freyn \& Sint., and S. tortuosum L. growing in Turkey were collected and evaluated for their antioxidant capacity by using 1.1-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging and lipid peroxidation (LPO) inhibition methods. Results: The highest activities as a scavenger of DPPH radicals were found in the AcOEt extracts of S. peucedanoides (M.Bieb.) Koso-Pol (IC50=0.49 mg/mL), and S. libanotis (IC50=0.75 mg/mL); alpha-tocopherol was used as a positive control. On the other hand, in the LPO assay, the highest activities were determined in AcOEt and MeOH extracts (at 5 mg/mL) of S. tortuosum and S. libanotis (84-94\%). Conclusion: This report gives important information about the antioxidant capacity of Seseli L. species. This research on antioxidant capacity proves that the use of some species used in Eastern Anatolia (in salads) is correct. With this screening study performed in Seseli L. species growing in Turkey, in the future, it is planned to isolate antioxidant compounds from the most active strains of Seseli L

Endoscopic Untethering of Tight Filum Terminate: An Operative Technique

AIM: To demonstrate the various technical advantages of minimally invasive endoscopic untethering of tight filum terminale for the treatment of tethered cord syndrome (TCS)

Parameters impacting the live birth rate per transfer after frozen single euploid blastocyst transfer.

BACKGROUND:To assess the predictive value of patient characteristics, controlled ovarian stimulation and embryological parameters on the live birth outcome of single euploid frozen-warmed blastocyst transfer (FBT). METHODS:This was a retrospective cohort study including 707 single FBTs after preimplantation genetic testing for aneuploidy (PGT-A) that were performed from October 1, 2015, to January 1, 2018. The effects of patient-, cycle- and embryology-related parameters on the live birth outcome after FBT were assessed. RESULTS:In the subgroup analysis based on live birth, patients who achieved a live birth had a significantly lower body mass index (BMI) than patients who did not achieve a live birth (22.7 (21.5-24.6) kg/m2 vs 27 (24-29.2) kg/m2, p<0.001). The percentage of blastocysts with inner cell mass (ICM) A or B was significantly higher among patients achieving a live birth, at 91.6% vs. 82.6% (p<0.001). Day-5 biopsies were also more prevalent among patients achieving a live birth, at 82.9% vs 68.1% (p<0.001). On the other hand, the mitochondrial DNA (mtDNA) levels were significantly lower among cases with a successful live birth, at 18.7 (15.45-23.68) vs 20.55 (16.43-25.22) (p = 0.001). The logistic regression analysis showed that BMI (p<0.001, OR: 0.789, 95% CI [0.734-0.848]), day of trophectoderm (TE) biopsy (p<0.001, OR: 0.336, 95% CI [0.189-0.598]) and number of previous miscarriages (p = 0.004, OR: 0.733, 95% CI [0.594-0.906]) were significantly correlated with live birth. Patients with elevated BMIs, cycles in which embryos were biopsied on day-6 and a higher number of miscarriages were at increased risks of reduced live birth rates. CONCLUSION:A high BMI, an embryo biopsy on day-6 and a high number of miscarriages negatively affect the live birth rate after single euploid FBT