Miracle-dz/UniFAR-FTUs huggingface dataset:
Antioxidant Activities of Dialium indum L. Fruit and Gas Chromatography-Mass Spectrometry (GC-MS) of the Active Fractions

The fruit of Dialium indum L. (Fabaceae) is one of the edible wild fruits native to Southeast Asia. The mesocarp is consumed as sweets while the exocarp and seed are regarded as waste. This study aimed to evaluate the antioxidant activities of the fruit by using four assays, which measure its capabilities in reducing phosphomolybdic-phosphotungstic acid reagents, neocuproine, 2,2-diphenyl-picrylhydrazyl (DPPH), and inhibiting linoleic acid peroxidation. The active fractions were then analyzed by gas chromatography-mass spectrometry (GC-MS). The results showed that the seed methanol fraction (SMF) exhibited the strongest antioxidant activity with significantly higher (p < 0.05) gallic acid equivalence (GAE), total antioxidant capacity (TAC), and DPPH radical scavenging activity (IC50 31.71; 0.88 µg/mL) than the other fractions. The exocarp dichloromethane fraction (EDF) was the discriminating fraction by having remarkable linoleic acid peroxidation inhibition (IC50 121.43; 2.97 µg/mL). A total of thirty-eight metabolites were detected in derivatized EDF and SMF with distinctive classes of phenolics and amino acids, respectively. Bioautography-guided fractionation of EDF afforded five antioxidant-enriched subfractions with four other detected phenolics. The results revealed the antioxidant properties of D. indum fruit, which has potential benefits in pharmaceutical, nutraceutical, and cosmeceutical applications.
Tourism research from its inception to present day: Subject area, geography, and gender distributions

This paper uses text data mining to identify long-term developments in tourism academic research from the perspectives of thematic focus, geography, and gender of tourism authorship. Abstracts of papers published in the period of 1970–2017 in high-ranking tourist journals were extracted from the Scopus database and served as data source for the analysis. Fourteen subject areas were identified using the Latent Dirichlet Allocation (LDA) text mining approach. LDA integrated with GIS information allowed to obtain geography distribution and trends of scholarly output, while probabilistic methods of gender identification based on social network data mining were used to track gender dynamics with sufficient confidence. The findings indicate that, while all 14 topics have been prominent from the inception of tourism studies to the present day, the geography of scholarship has notably expanded and the share of female authorship has increased through time and currently almost equals that of male authorship.
Urolithiasis Frequency and Risk Factors in Home Ventilated Patients with Tracheostomy

©Telif Hakkı 2017 Çocuk Acil Tıp ve Yoğun Bakım Derneği Çocuk Acil ve Yoğun Bakım Dergisi, Galenos Yayınevi tarafından basılmıştır. Yazışma Adresi/Address for Correspondence: Dr. İlknur Tolunay, Çukurova Üniversitesi Tıp Fakültesi, Çocuk Yoğun Bakım Bilim Dalı, Adana, Türkiye E-posta: ilknurtolunay@gmail.com ORCID ID: orcid.org/0000-0002-3454-8483 Geliş Tarihi/Received: 30.07. 2017 Kabul Tarihi/Accepted: 14.09. 2017 Giriş: Bu çalışmada, ev tipi ventilatör ile izlenen trakeostomili hastalarda ürolitiazis sıklığı ve risk faktörlerinin değerlendirilmesi amaçlanmıştır. Yöntemler: Ocak 2014 ve Aralık 2015 tarihleri arasında çocuk yoğun bakım ünitemize yatırılan ve ev tipi ventilatörü olan trakeostomili 30 hasta geriye dönük olarak değerlendirilmiştir. Hastalara ait yaş, cinsiyet, altta yatan hastalık, kullanmakta olduğu ilaçlar, beslenme şekli, beslenme ürünü, kan biyokimyası, parathormon, 25(OH) vitamin D düzeyi, spot idrarda kalsiyum/kreatin, üriner sistem ultrasonografisi bilgileri hastaların arşiv dosyaları ve bilgisayar sisteminden elde edilmiştir. Bulgular: Hastaların %30’u (9/30) kız, %70’i (21/30) erkek olup yaş ortanca 70 ay (15-197 ay) idi. Motor fonksiyon sınıflama sistemine göre hastaların %33,3’ü (10/30) skor 4, %66,7’si (20/30) skor 5 olup tamamı immobil hastalar idi. Üriner sistem ultrasonografisi ile hastaların %30’unda (9/30) üst üriner sistem taşı saptandı. Hastaların %56,7’sinde (17/30) spot idrar kalsiyum/kreatin 0,21’in üzerinde bulundu. Yaşa göre spot idrar kalsiyum/kreatin hastaların %66,6’sında (20/30) yüksek saptandı. Hastaların günlük kalsiyum alımı 541±182 (336-1200) mg/gün; vitamin D alımı 25,9±10,6 (7,8-51,4) μg/gün idi. Hastaların tamamında kan kalsiyum düzeyi normal sınırlarda (8,5-10,5 mg/dL) olup kan 25(OH) vitamin D düzeyi 8 hastada >30 ng/mL, 13 hastada 20-30 ng/mL ve 9 hastada <20 ng/mL idi. Sonuç: Ev tipi ventilatör ile izlenen trakeostomili hastalarda immobilizasyon ürolitiazis açısından önemli bir risk faktörü olup bu hastaların eşlik eden metabolik bozukluklar açısından düzenli olarak takip edilmesi gerekmektedir. Anahtar Kelimeler: Çocuk, immobilizasyon, ürolitiazis, ev tipi ventilatör hastas
Investigation of the Inhibitory Effects of Mangrove Leaves and Analysis of Their Active Components on Phaeocystis globosa during Different Stages of Leaf Age

The presence of harmful algal blooms (HABs) can cause significant problems to the quality of the water, the marine ecosystems, and the human health, and economy worldwide. Biological remediation can inhibit harmful algal growth efficiently in an environmental-friendly manner. Therefore, the research conducted on biological remediation with regard to the inhibition of HABs is becoming a major focus in marine ecology. To date, no study has been reported with regard to the red tides occurring in mangrove wetlands. Therefore, the present study used two mangrove species, namely Bruguiera gymnorrhiza and Kandelia candel and one harmful algae species Phaeocystis globosa as experimental organisms. The present study determined the inhibitory effects and algae physiology of specific aqueous extracts from mangrove leaves on the viability of harmful algae, and analyzed the main chemical composition of the aqueous extracts by ultra-performance liquid chromatography coupled to high resolution mass spectrometry (UPLC-QTOF-MS). The results indicated that the aqueous extracts from different leaf ages of B. gymnorrhiza and K. candel leaves exhibited apparent inhibitory effects on the growth of P. globosa. The inhibitory effects of B. gymnorrhiza and K. candel leaves aqueous extracts on the growth of P. globosa were in the following order: senescent > mature > young leaves. The levels of the parameters superoxide dismutase (SOD) activity, glutathione (GSH), and malondialdehyde (MDA)content in P. globosa following treatment with B. gymnorrhiza and K. candel leaves aqueous extracts were increased as follows: senescent > mature > young leaves. Simultaneously, the intensity of the ion peaks of the specific secondary metabolites assigned 4 (No.: 4 Rt: 2.83 min), 7 (No.: 7 Rt: 3.14 min), 8 (No.: 8 Rt: 3.24 min), 9 (No.: 9 Rt: 3.82min) and 10 (No.: 10 Rt: 4.10 min) were increased. These metabolites were found in the aqueous extracts from B. gymnorrhiza leaves. The intensities of the ion peaks of the secondary metabolites 7, 8 in the aqueous extracts from the K. candel leaves were also increased. The majority of the substances that inhibited the algae found in the mangrove plants were secondary metabolites. Therefore, we considered that the norsesquiterpenes compounds 4, 8, 9, and 10 and a phenolic glycoside compound 7 were the active constituents in the aqueous extracts of the mangrove leaves responsible for the inhibition of algae growth. This evidence provided theoretical guidance for the development of biological methods to control red tides and for the further use of substances with antiproliferative activity against algae.
Modeling of Human-Centered Cooperative Control by Means of Tracking in Discrete Time Linear Quadratic Differential Games

In Shared Control, humans interact with robots and machines to achieve tasks in a cooperative scenario. Different preferences of human and machine on how to achieve the task can be modeled by means of differential games. A relevant task in various situations, e.g. cooperative lifting of weights, is to follow a trajectory of states, which can be formalized as a cooperative tracking problem. In this paper, we present a discrete-time linear-quadratic tracking game to model the interaction of two controllers in trajectory tracking. In a second step, we discuss the existence and analyze the resulting control law. In addition, we propose a simplified suboptimal cooperative tracking controller that allows easier implementation. Finally, simulation results are given for both proposed methods.
Learning Sentences Similarity By Multi-Head Attention

Text comprehension and information retrieval are two essential methods which could be reinforced by modeling to semantic similarity in sentences and phrases. However, there are general problems of traditional methods on LSTM which is used to process the input sentences. Those semantic vectors cannot fully represent the entire information sequence and the information contained in firstly input content will be diluted or overwritten by the late r information. The longer the input sequence, the more serious this phenomenon is. In order to address these problems, we propose new methods with self-attention. It can incorporate weights of special words and highlight the comparison of the similarity in key words. Compared with normal self-attention which can only incorporate the weight of the key words into the naive sentences and describe position information on sentences through position encoding. Our experiment shows that new method can improve the performance of model.
Context-Aware Software Documentation

Software developers often do not possess the knowledge needed to understand a piece of code at hand, and the lack of code comments and outdated documentation exacerbates the problem. Asking for the help of colleagues, browsing the official documentation, or accessing online resources, such as Stack Overflow, can clearly help in this "code comprehension" activity that, however, still remains highly time-consuming and is not always successful. Enhancing this process has been addressed in different studies under the subject of automatic documentation of software artifacts. For example, "recommender systems" have been designed with the goal of retrieving and suggesting relevant pieces of information (e.g., Stack Overflow discussions) for a given piece of code inspected in an IDE. However, these techniques rely on limited contextual information, mainly solely source code. Our goal is to build a context-aware proactive recommender system supporting the code comprehension process. The system must be able to understand the context, consider the developer's profile, and help her by generating pieces of documentation at whatever granularity is required, e.g., going from summarizing the responsibilities implemented in a subsystem, to explaining how two classes collaborate to implement a functionality, down to documenting a single line of code. Generated documentation will be tailored for the current context (e.g., the task at hand, the developer's background knowledge, the history of interactions). In this paper we present our first steps toward our goal by introducing the ADANA project, a framework which generates fine-grained code comments for a given piece of code.
Lesions of the Parotid Gland and Buccal Artery After Buccal Fat Pad Reduction

Abstract The significant increase in esthetic surgery, especially buccal fat pad reduction, has led to a corresponding increase in lesions and postoperatory after-effects from this surgical procedure. The aim of this study is to discuss the immediate and mediate risks of removing the Bichat ball, as well as describing a clinical study in which this surgical procedure resulted in lesions of the parotid gland and buccal artery, which was confirmed via nuclear magnetic resonance. The facial lesions were remedied via exploratory surgery by opening a new orifice of the glandular duct in the buccal cavity followed by drainage and compressive surgical bandages.
The Journal of Systems and Software

Manual testing is still a predominant and an important approach for validation of computer systems, particularly in certain domains such as safety-critical systems. Knowing the execution time of test cases is important to perform test scheduling, prioritization and progress monitoring. In this work, we present, apply and evaluate ESPRET (EStimation and PRediction of Execution Time) as our tool for estimating and predicting the execution time of manual test cases based on their test speciﬁcations. Our approach works by extracting timing information for various steps in manual test speciﬁcation. This information is then used to estimate the maximum time for test steps that have not previously been executed, but for which textual speciﬁcations exist. As part of our approach, natural language parsing of the speciﬁcations is performed to identify word combinations to check whether existing timing information on various test steps is already available or not. Since executing test cases on the several machines may take different time, we predict the actual execution time for test cases by a set of regression models. Finally, an empirical evaluation of the approach and tool has been performed on a railway use case at Bombardier Transportation (BT) in Sweden.
Algorithms for Detecting Potato Defects Using Images in the Infrared Range of Spectrum

An automated system for contactless thermal quality testing of potato moving along a chain conveyor is presented. The algorithm of the computer vision system for the recognition of potato defects in real time is described. The method for detecting defects is based on determining the temperature difference between healthy and damaged tissues after short-term heating of the tubers.
Practical Aspects Related to Using Hidden Markov Models for Detecting Metamorphic File Infectors

Hidden Markov Models (HMMs) have been widely used recently for detection of metamorphic malware families. In this paper, we address some practical aspects which should be taken into consideration when modeling file infectors using HMMs. We highlight how patient zero and the way in which generations of infections are spread is important to correctly choose and extract the code (sequences of instructions) on which to perform the training / testing. Specifically, we perform some tests in order to show the devastating effects on the detection rate for cases in which: testing is performed on buffers of code bigger in size than the ones used for training; training is performed on latter generations as opposed to using earlier generations; code belonging to the file infector ends with one random instruction or a few instructions belonging to the clean host. We performed the tests on Evol, a highly metamorphic malware family, which has the desired property of evolving significantly across two different generations.
Physical Human-Robot Interaction through a Jointly-held Object based on Kinesthetic Perception

This paper deals with the problem of human-robot cooperative object manipulation for cases where the grasp position of the operator can change during task execution similar to human-human collaborative scenarios. In state of the art algorithms for cooperative object handling, a constant grasping position is considered for the operator. In order to accommodate the changes of the human grasping point in the control design, we do not depend on sensors on the operator's hand or on the object but we employ estimates obtained through a recursive least-squares estimator. The estimation algorithm uses only the measured wrenches obtained by a force/torque sensor located at the end-effector of the manipulator. We also propose a switching strategy for a damping controller based on the online estimates. Simulation results are provided in order to demonstrate the proposed method.
Multifactorial explanatory model of depression in patients with rheumatoid arthritis: a structural equation approach.

OBJECTIVES Depressive symptoms are common among patients with rheumatoid arthritis (RA). This study was aimed at developing a multifactorial explanatory model that evaluated the influence of personality traits, disease activity, perceived disease impact, and comorbidities. METHODS This cross-sectional study used structural equation modelling estimation to analyse the associations between these dimensions, pursuing three hypotheses. Depressive symptoms were assessed using the Hospital Anxiety and Depression Scale, disease impact by the Rheumatoid Arthritis Impact of Disease score, personality by the Ten Item Personality Inventory and the disease activity through the Disease Activity Score 28 joints. The influence of comorbidities was investigated by multigroup analysis. RESULTS The final model derived from data of 254 patients presented a good fit. Disease activity had an indirect relation with depressive symptoms mediated by disease impact (β=0.17, p<0.001), but the direct relationship between disease activity and depressive symptoms was not significant (β=0.09; p=0.07). "Positive" personality had a strong negative direct relation with depressive symptoms as well as an indirect relationship mediated by disease impact (total effect β=-0.61, p<0.001). The final proposed model explained 58% of the variance of depressive symptoms. Multigroup analysis showed an invariant model when comparing patients with and without comorbidities (dχ2=9.03; df=12; p=0.70). CONCLUSIONS Personality characteristics seem to have a major influence upon the impact of disease and the patient's adjustment to RA, including the vulnerability or resilience to depression. Individual personality traits deserve attention in tailored assessment and treatment of patients with RA, in order to optimise outcomes.
Classifying Patent Applications with Ensemble Methods

We present methods for the automatic classification of patent applications using an annotated dataset provided by the organizers of the ALTA 2018 shared task - Classifying Patent Applications. The goal of the task is to use computational methods to categorize patent applications according to a coarse-grained taxonomy of eight classes based on the International Patent Classification (IPC). We tested a variety of approaches for this task and the best results, 0.778 micro-averaged F1-Score, were achieved by SVM ensembles using a combination of words and characters as features. Our team, BMZ, was ranked first among 14 teams in the competition.
A DOA Estimation Method With Kronecker Subspace for Coherent Signals

We propose a direction-of-arrival estimation method using the Kronecker subspace that can cope with coherent source signals. The proposed method employs a new formulation of the Khatri–Rao product array processing, where not only auto-correlations but also cross-correlations of source signals are regarded as virtual source signals transmitted to the difference co-array of the original sensor array, and can cope with up to <inline-formula> <tex-math notation="LaTeX">$N-1$ </tex-math></inline-formula> coherent signals with a sensor array having <inline-formula> <tex-math notation="LaTeX">$N$ </tex-math></inline-formula> sensors if the source signals have quasi-stationarity. Computer simulation results illustrate the performance of the proposed approach in comparison with that of conventional algorithms.
Assessing User Specifications for Robot Task Planning

As robots' capability and autonomy improve, they are expected to increasingly operate in human environments, and interact with novice, untrained users. When robots operate in human or shared environments, their tasks and behaviours need to be specified; this task is typically performed by a human operator or supervisor. The human operator may specify constraints on robot behaviour to make the robot more predictable or align its behaviour with user expectations. However, these constraints may impact robot task performance. This paper investigates how novice users generate robot specifications and proposes metrics for quantifying specification quality. The proposed approach is evaluated with a user study, where novice users provide specifications for an autonomous robot operating in a shared warehouse environment. We find that untrained users create a wide variety of behaviour-limiting specifications, that users generally have difficulty creating efficient specifications, and that they were not able to correctly assess their own performance.
Task Generalization for Robust One-Shot Robot Programming using Entity-based Resources

With a robust one-shot programming approach from previous work we are able to transfer the advantages of general purpose robots into more unstructured environments like private households or small and medium sized enterprises. From this we enable non-experts to use the capabilities of a kinesthetically guidable manipulator. The main contribution of this work is to extend our behavior-based approach by two generalizations in the task representation model, which were identified in previous work, but not yet examined. With this we introduce novel extensions of our programming paradigm by integrating task generalization in terms of path adaption and object generalization. The proposed extensions allow to generalize task solutions from a demonstration by monitoring resources (e.g. objects in the workspace) and their changes. Integrating task generalization by adapting a demonstrated task to new paths as well as new objects in similar situations raises challenges for both, demonstration and execution phase: During task demonstration it is necessary to identify which aspects can be generalized and during execution we have to distinguish adaptable from faulty situations.
Effects of Recommendation Neutrality and Sponsorship Disclosure on Trust vs. Distrust in Online Recommendation Agents: Moderating Role of Explanations for Organic Recommendations

We extend the extant research on neutral recommendation agents (RAs) to those that lack recommendation neutrality and are biased toward sponsors. We first investigate the effects of recommendation neutrality on users’ trust and distrust in RAs by comparing a biased RA with sponsorship disclosure with a neutral RA. We then apply a contingency approach to examine the effects of sponsorship disclosure on users’ trust and distrust in biased RAs, with explanations for organic recommendations as a contingent factor. A laboratory experiment was conducted in the United States. We determine that users’ trust in the biased RA with sponsorship disclosure is lower and that their distrust is higher than that in the neutral RA. Results also show that user trust in a biased RA increases only when explanations for organic recommendations and sponsorship disclosure are both provided. Users’ perceived psychological contract violations of an RA have been verified as a key mediator of the examined effects. However, explanati.
Design Development and Performance Analysis of Homopolar Inductor Pulsed Alternator

High frequency and high voltage supply is needed for many applications such as laser application, electromagnetic launch and capacitor charging. Pulsed power supply has advantage of better energy storage density, sufficient power density and high reliability. Pulsed power supply is useful in applications like electromagnetic launch. In this paper the magnetic and performance analysis of Homopolar Inductor Alternator is described. The integrated machine can generate pulsed power supply of high magnitude and frequency. Machine consists of 3 sections of rotor. Two sections of equal number of pole work as alternator and the other section work as motor. All the three sections are integrated together as a single rotor structure. The three sections have different axial length and different pole pairs. Motor works at a lower frequency compared to alternator. A low frequency low voltage supply is used to drive high frequency and high voltage supply by integrating them together. Machine works at a rated speed of 18000rpm. Machine is designed and developed in ANSYS Maxwell and magnetic analysis is done and output voltage waveform is obtained.