Miracle-dz/UniFAR-FTUs huggingface dataset:
Recognizing the Activity Daily Living (ADL) of Subject Independent

: - Recognition of an Activity Daily Living (ADL) has recently garnered for providing a piece of valuable information to a human. Small and easy to carry, a wearable sensor such as an accelerometer has opened the space for researchers to explore the prior knowledge of pervasive computing. In some ways, the wearable sensor has started to gain attention among researchers to conduct their research in a broad area of human activity recognition. Recent ADL is not only tackling simple activities but also cater to the broad categories of complex activities. However, the recognition accuracy tends to decrease when involving huge numbers of a subject. Even though the same activity has been conducted by a different subject, the acceleration signal obtained significantly differs. This happens due to the action pattern for each subject is different based on several aspects such as subject age, gender, emotion and personality. Thus, this paper is proposing the framework for tackling the subject independent matter by improving the recognition accuracy of ADL. The signal obtained from an accelerometer sensor to undergo a segmentation process to extract additional valuable features. In certain cases, some of the features might irrelevant to determine the class. Hence, we propose feature selection to select the most meaningful features which can lead to accuracy above 90%. On top of that, this paper also highlighted a short empirical review of previous related work. This preliminary work will be evaluated and analyzed using several machine learning algorithms.
The omega-3 fatty acid docosahexaenoate attenuates endothelial cyclooxygenase-2 induction through both NADP(H) oxidase and PKCε inhibition

A high intake of the omega-3 fatty acid docosahexaenoate [docosahexaenoic acid (DHA)] has been associated with systemic antiinflammatory effects and cardiovascular protection. Cyclooxygenase (COX)-2 is responsible for the overproduction of prostaglandins (PG) at inflammatory sites, and its expression is increased in atheroma. We studied the effects of DHA on COX-2 expression and activity in human saphenous vein endothelial cells challenged with proinflammatory stimuli. A ≥24-h exposure to DHA reduced COX-2 expression and activity induced by IL-1, without affecting COX-1 expression. DHA effect depended on the NF-κB-binding site in the COX-2 promoter. EMSAs confirmed that DHA attenuated NF-κB activation. Because MAPK, PKC, and NAD(P)H oxidase all participate in IL-1-mediated COX-2 expression, we also tested whether these enzymes were involved in DHA effects. Western blots showed that DHA blocked nuclear p65 NF-κB subunit translocation by decreasing cytokine-stimulated reactive oxygen species and ERK1/2 activation by effects on both NAD(P)H oxidase and PKCε activities. Finally, to address the question whether DHA itself or DHA-derived products were responsible for these effects, we inhibited the most important enzymes involved in polyunsaturated fatty acid metabolism, showing that 15-lipoxygenase-1 products mediate part of DHA effects. These studies provide a mechanistic basis for antiinflammatory and possibly plaque-stabilizing effects of DHA
Butanol soluble fractions of Cissus cornifolia methanolic leaf extract and behavioural effects in mice

Cissus cornifolia Baker - Planch (Family: Vitaceae) is used for various central nervous system disorders. The present study reported the sedative and central nervous depressant effects of fractions (butanol soluble portion and its flavonoid rich fraction) obtained from methanolic leaf extract of Cissus cornifolia using diazepam induced sleep, head-dip and motor coordination tests in mice at doses between 5 to 600 mg/kg body weight. The flavonoid rich column fraction 3 (CF3) significantly (p <0.05) prolonged the duration of sleep in mice at the dose of 10 and 20 mg/kg. Similarly, the butanol soluble portion significantly (p <0.001) prolonged the duration of diazepam induced sleep at 150, 300 and 600 mg/kg in a dose dependent manner. It also significantly (p <0.05) decreased the onset of sleep at the dose of 150 and 600 mg/kg. A dose dependent and significant (p <0.001) decrease in the mean number of head-dips was produced by the butanol soluble portion at all the doses tested. The butanol soluble portion at all the doses tested significantly (p <0.005) prolonged the time to complete the beam walk, however the extract did not produce a significant increase in number of foot slips. The results demonstrated that the butanol soluble fractions obtained from methanolic leaf extract of Cissus cornifolia posses sedative and central nervous system depressant activity, thus supporting its ethno medicinal use as a sedative in the management of central nervous system disorders.
The influence of noise kurtosis on the dynamics of a harmonic oscillator with fluctuating frequency

The influence of noise kurtosis on underdamped motion of a harmonic oscillator with fluctuating frequency subjected to an external periodic force and an additive thermal noise is considered. The colored fluctuations of the oscillator frequency are modeled as a trichotomous noise. It is established that the spectral amplification and variance of the output signal exhibits a nonmonotonic dependence on the noise kurtosis, thus demonstrating the phenomenon of noise kurtosis controlled stochastic resonance. Some unexpected effects such as hypersensitive response of spectral amplification to small variations of noise amplitude, encountered in the case of a large kurtosis of colored noise are also discussed.
IDENTIFYING MOTIVATIONAL FACTORS FOR TREKKING ACTIVITIES

Trekking Nature-based tourism Tourist motivation The aim of this study is to determine motivational factors for participating in trekking activities. Questionnaire technique has been utilized and short form of ‘Recreation Experience Preference Scale’ has been used in this study. The sample consists of 324 individuals participating in trekking within naturebased activities associations in Adana, Turkey. The research findings have revealed that “escape pressure, achievement/ stimulation, introspection and development, togetherness, learning and enjoy nature” are the main motivational factors for trekking participants. Besides, Ttest and one way ANOVA tests have identified that motivational factors for participating in trekking activities significantly differ depending on demographic variables.
SPLASH: U: Gradual Program Analysis

Annotations are a common and useful way to make static analysis tools more usable, but there is no standard way to analyze programs that have only partial annotations. We give a formal framework that transforms arbitrary static analyses assuming complete annotations into gradual analyses accepting partial annotations. Our approach is based on gradual typing, and thus combines static and dynamic analysis to give soundness guarantees via runtime checks. We satisfy a preestablished property called the gradual guarantee, ensuring that our system reacts predictably as the programmer adds annotations one-by-one. We implement a specific instance of our general framework as a static null-pointer checker in Face-book Infer, and find in a preliminary empirical investigation that our framework gives fewer statically-reported false positives than Infer’s existing checkers.
A Systematic Review of the Benefits and Challenges Associated with the Hybrid Collaboration of Cloud with Specific Reference to Small and Medium Businesses (SMB’S)

- There has been an Upsurge in the use of Cloud Services in Businesses and Small and Medium Sized Enterprises are using Software Services as well as Infrastructure Services Provided by Professional Information Service Companies. These Companies Provide the Msmes (Micro, Small and Medium Scale Enterprises) with Services Such as Data Storage, Document Sharing, E-Mail Domains and Other Computer as well as Management Information Systems as Public Resources in Order to Support their Business Processes Management. However, There is a Limitation in the Services One Vendor can Supply, and Thus These Businesses Need to Simultaneously use Services from Different it Platforms and Conduct their Business. Cloud, Called as The ‘Future of Information Technology’, Plays a Crucial Role in this Regard. Hybrid Collaboration of Cloud, In Simple Words can be Explained as the Integration of Public and Private Cloud Services. The Purpose of this Study is to Summarize with a Systematic Review, The Previous Researches on Hybrid Collaborations in Cloud and How Msmes use these Applications for their Benefit.
USING DATA MINING ALGORITHM FOR SENTIMENT ANALYSIS OF USERS’ OPINIONS ABOUT BITCOIN CRYPTOCURRENCY

Cryptocurrency has turned out to be one of the most significant currencies in the recent times due to their secureness, ease and value. Among the other cryptocurrencies available in the market, Bitcoin cryptocurrency is the most valuable and famous currency. A large number of people discuss about the Bitcoin currency on the internet and social media platforms as well. These discussions help in determining the importance of Bitcoin in terms of users’ discussions about Bitcoin and can help in determining the value of Bitcoin in terms of people point of views about the topic. In this paper, sentiment analysis of the tweets of users on the topic of Bitcoin has been carried out. For this purpose, real-world twitter data set of Bitcoins is used. The data set has been divided into five separate sections for better comparative analysis, including overall extensive data analysis regarding tweets, retweets, tweets with mentions, tweets containing external links and also about the users who discuss regarding cryptocurrency of Bitcoin. A framework for sentiment analysis is proposed on the basis of Naïve Bayes sentiment classification algorithms which is widely used as a better option for text data. The proposed framework is capable to perform sentiment analysis of the tweets data. The results resemble that users’ opinions are on the high positive side about Bitcoins and people mostly people represent the positive sentiment about Bitcoins. The results are evaluated using the standard performance evaluation measures including precision, recall, f1-score and accuracy.
Linking TQM Critical Success Factors to strategic goal: Impact on Organizational Performance

This paper aims to examines and establish the relationship between critical success factors (CSFs) of total quality management (TQM), strategic goal and organizational performance. Using key enablers and drivers collectively said CSFs as measures, the suggested model appraises three dimensions of performance: financial, non-financial and operational. A total of 500 questionnaires have been distributed to a FMCGs company in India and effective sample of 165 usable completed surveys (33.0 percent usable response rate). Statistical analysis and correlation were used to predict and estimate the relationship. The model was assessed using Analysis of Moment Structure (AMOS) based Structural Equation Modeling (SEM). The findings showed that TQM practices have a significant impact on financial and operational performance.
PARTIAL DEPENDENT GRAPHICAL MODELS FOR UNDIRECTED RELATIONSHIPS INVOLVING PASSIVE STATES

As a core framework in artificial intelligence, standard graphical models generally assume that every state of a variable node has effect on other nodes by propagating beliefs to them. However, in many real world problems concerning undirected relationships, it is common that certain state of an object cannot possibly change other objects' states. Besides, an object only remains in this state when no effect on it successfully changes it. This paper defines it as passive state, and presents a framework - Partial Dependent Graphical Models (PDGM) for representing undirected relationships involving these states. Through a static undirected structure with a varying directed edge system, it analytically captures the behavior of variables having passive states. An inference method is developed for reasoning in the model. Experiments and examples are provided to show the effectiveness of PDGM.
Cognitive Radar Framework for Target Tracking

In this work we address the problem of radar waveform optimization and target tracking. We propose an algorithm for optimal waveform design and target tracking based on the Control theoretic approach, where the waveform parameters are adaptively designed by minimizing the tracking mean square error (MSE). In this work we take several approaches to enhance the radar tracking performance. In a first place the Kalman filter was used to estimate the target position which we use to optimize the waveform parameters. Experimental results demonstrated the ability of the proposed algorithm to track a flying target in the Cartesian space, by providing accurate estimates of the target position and the target speed cartesian vector as well as the radial speed. The algorithm adapted the waveform parameters on the fly based on the estimate vectors. In literature, the doppler effect theory was intensively used to estimate target velocity. Under certain conditions, such as tracking high speed targets or rough sea and weather conditions the doppler effect is less effective. Hence, in this first approach we introduce an algorithm that relies on the Kalman filter estimations independently of the doppler effect. A low pass filter with adaptive parameters in real time is applied to the estimated speed vector, and accurate speed estimations where extracted. Furthermore, we tackle the radar tracking problem from a realistic angle by admitting that the target motion can’t be described by on matrix like we have proposed using the Kalman filter , therefore we introduce the Interacting Multiple Model algorithm instead to estimate the target position. Through simulations, we demonstrate the good performance of the proposed algorithm and prove that waveform optimization can improve the tracking performance of the radar. Finally we consider harvesting information from two antennas instead of one , and using one of the data fusion algorithms , and the IMM algorithm , we were able to reduce the tracking error and provide a more robust and reliable solution to the tracking problem . KeywordsAdaptive waveform design, Cognitive radar (CR), Kalman Filter, Moving average filter, MMSE filter, Neyman-Pearson Hypothesis decision, Target tracking Waveform optimization, Machine learning. 2-Introduction Cognition is defined as the mental process involved in knowing, learning, and understanding things. This definition introduces three major ingredients that define a CR:
LH-Releasing Activity in Hypothalamic Extracts

Summary Acid extracts of rat SME tissue evoked OAAD in immature rats pre-treated with gonadotropins. Part of the activity in the extracts could be accounted for by their content of LH or vasopressin or both, whereas the remaining activity appeared to be due to release of LH from pituitary of assay rats. The substance(s) responsible for LH-releasing activity of extracts has been called LH-releasing factor. The nature of this material is unknown, but it appears to differ from histamine, serotonin, substance P, epinephrine, and vasopressin or oxytocin. The technical assistance cf Maria Smith is gratefully acknowledged.
THE POTENTIAL GEOGRAPHICAL VARIATIONS IN SPERMOGRAM PARAMETERS, STEROID HORMONES, AND ZINC CONCENTRATION AMONG JORDANIAN INFERTILE MALES

In this study, the potential geographical differences in semen parameters, serum steroid hormones, and Zinc levels among Jordanian infertile males were investigated. Three hundred and twenty four infertile males distributed in eleven Jordanian cities were enrolled in this study. The study groups were compared in terms of geographical distribution and spermogram parameters including: volume, count, motility grades, morphology, germ cells and fructose. Seminal zinc level was detected by Atomic Absorption Spectrophotometer and serum steroid hormones by a competitive chemoluminescent enzyme immunoassay. Seminal fluid samples showed significant differences between cities in the mean volume (3.72±2.55 ml), sperm count (24.16±33.57 x10), morphology of sperms (4.83±4.68 %), non progressive motility (23.46±14.95 %), germ cells (3.11±4.20 %), fructose (321.09±92.91 g/dl), zinc level (21.26±17.83 mg/dl), and viscosity (0.23±0.45 cm). Ar Ranmtha and Al Zarka, particularly, revealed a significant decrease in sperm count, active motility, viability, morphology, germ cells, mean fructose level, and a significant increase in immotile sperm. Estradiol, prolactin, testosterone hormones, and zinc in Ar Ramtha were significantly different from other cities. Geographical differences can affect in one way or another nature of semen in infertile men and might be linked to the regular dietary intake of zinc, and steroid hormones. This study is an introduction to illustrate the geographical diversity to the heterogeneity of semen quality that can be used as an input for future studies.
Robust Trajectory Tracking Control of Omni-Wheeled Mobile Robots

: - In this paper, the robust trajectory tracking control problem for a dynamical model of a mobile robot with three omnidirectional wheels is considered. The motion of the robot is carried out by means of three independent electric motors. Based on the Lyapunov vector function method, a new discrete controller is presented which takes into account the presence of sliding friction forces and parametric variations. The estimations of the region of initial deviations and the unknown part of the inertia matrix are obtained.
Effect of dark rearing on the eye of Gryllus bimaculatus Crickets

Studies of the visual fields of six species of crickets have shown that the extent of these visual fields is related more to the nature of their habitat than to the phyletic proximity of the species. The present experiments were conducted to determine the influence of light itself on the development of the eye in young Gryllus bimaculatus. When these insects were maintained in total darkness from the first stages of ontogenetic development, they exhibited morphogenetic changes which seem to result in better light energy reception (more numerous ommatidia, smaller interommatidial angles). However, electron microscopic studies revealed fine structural modifications, which are likely to affect vision adversely. We discuss these changes in terms of the visually guided locomotion of the insects in their natural habitat. © 1994 Wiley-Liss, Inc.
SPECTRAL ENERGY BASED VOICE ACTIVITY DETECTION FOR REAL-TIME VOICE INTERFACE

Voice activity detection (VAD) is a main process of speech recognition tasks in which every voice region is detected to extract acoustic feature parameters from the region. This paper proposes an efficient VAD approach for applying to real-time voice interface systems. Even though diverse VAD approaches have been successfully applied for speech applications, they may operate inefficiently according to environmental conditions. In this study, we attempt to enhance the conventional VAD method based on signal energy within time and spectral domain. In addition, an efficient end-point detection method is also proposed. We successfully verified the efficiency of the proposed approach via a set of VAD experiments, comparing with the performance of some conventional VAD methods including zero crossing rate.
Behavioural responses of freshwater phytoplanktonic flagellates to a temperature gradient

Photoresponses of motile phytoplanktonic flagellates have been widely studied, whereas the behavioural responses of these organisms to temperature, and their potential ecological consequences, have rarely been considered. This study investigated the population responses and individual swimming trajectories of five phylogenetically contrasting species of freshwater flagellates exposed to a gradient of temperature in micro-scale preference chambers. Population responses demonstrated a species-dependent diversity in thermoresponsive behaviour. Across a gradient of 9.8 to 15.1°;C which simulated the typical range of temperature across a thermocline in a temperate monomictic lake, Ceratium furcoides, Chlamydomonas moewusii, Dinobryon sertularia and Plagioselmis nannoplanctica all preferred the highest temperatures. In contrast, Euglena gracilis preferred the lowest temperature. Analysis of the swimming behaviour of individual cells confirmed preferences and demonstrated that, in all species, a combination of tactic and kinetic reactions was responsible for these accumulations. For the first time, controlled positive and negative thermotaxes towards a temperature preference were identified. This thermotactic orientation, in conjunction with a reduction in directionality of response in the preference zone and with ortho- and klino-thermokinesis, enabled cells to maintain position at preferred temperatures. Specifically, in all species apart from P. nannoplanctica, significant ortho-kinetic increases in swimming speed permitted rapid movement of cells away from unfavourable conditions, while a reduction in speed and a klino-kinetic increase in rate of turning (in all five species) maintained position within favoured temperatures. This ability to detect, orientate and accumulate within a temperature gradient may be triggered by physiological processes and presents ecological advantages. Behavioural response to temperature may optimize growth, influence the spatial and temporal distribution of flagellates, particularly the diel position of cells during migration, and contribute to the delineation of niche separation.
Empirical Analyses on the Financial Profile of Korean Chaebols in Corporate Research & Development Intensity

This study examines one of the conventional and controversial issues in modern finance. Specifically, this study identifies financial determinants of corporate R&D intensity for firms belonging to Korean Chaebols. Empirical estimation procedures are applied to derive more robust results of each hypothesis test. Static panel data, Tobit regression and stepwise regression models are employed to obtain significant financial factors of R&D expenditures, while logit, probit and complementary log-log regression models are used to detect financial differences between Chaebol firms and their counterparts not classified as Chaebols. Study results found the level of R&D intensity in the prior fiscal year, market-value based leverage ratio and firm size empirically showed their significance to account for corporate R&D intensity in the first hypothesis test, whereas the majority of explanatory variables had important power on a relative basis. Assuming that the current circumstances in the domestic capital market may necessitate gradual changes of Korean Chaebols in terms of their socio-economic function, the results of this study are expected to contribute to identifying financial antecedents that can be beneficial to attain optimal level of corporate R&D expenditures for Chaebol firms on a virtuous cycle. 요 약 본 연구는 현대 재무관리 이론 상 전형적인 주제로서 현재까지도 지속적인 논의의 대상이 되는 국내 재벌그룹소속 계열사들의연구개발비비중에대한재무적결정요인들에대한분석이다. 실증연구를통한분석결과의강건성제고를위하 여본연구에서는다양한실증적모형들이응용되었다. 절대적추정방법으로서정적인패널자료모형, 토빗모형그리고단계 적회귀모형등이활용되었고, 상대적인추정방법으로서로짓, 프로빗그리고보완적로그-로그모형등이재벌소속계열사 와그에대한 상대표본인 비재벌소속 계열사들의 재무적 결정요인의 차별성규명을위하여 응용되었다. 실증분석결과와 관련, 전년도의연구개발비비중, 시장가치기준의부채비율그리고기업규모등이첫번째가설에서표본기업들의연구개발 비비중에대하여통계적으로유의한재무적결정요인으로서판명되었으며, 후자의상대적추정모형분석에서는총 11개의 설명변수들중, 대다수의 변수들이통계적으로유의한것으로 검정되었다. 최근 국내자본시장에서요구하는재벌기업들의 사회-경제적 기능면에서의 점진적 변화 가능성을 전제하여, 본 연구 결과는 재벌소속 계열사들의 적정 연구개발비 수준을 결정하기 위한 선행요인들의 재무적 분석에 기여할 수 있다고 판단된다.