Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of application of ultrasound waves in the shelf life of an amazon fruit: araçá-boi

The aim of this work was to evaluate the effects of ultrasonic treatments in quality of araca-boi fruits ( Eugenia stipitata McVaugh) during storage. Araca-boi fruits were processed at a constant ultrasonic frequency of 40 kHz at 5 and 15 min. In the sequence, they were divided in three groups: control (CG), 5 min (G5M) and 15 min (G15M) of ultrasonic treatment and stored at room temperature for six days. The quality of the untreated and treated fruits was evaluated at 0, 3 and 6 days of storage and the following quality parameters were analyzed: weight loss, vitamin C, pH, titratable acidity, soluble solid content, total and reducing sugars. The maximum shelf life of fruits was between 3 and 6 days after harvest, for the three groups. The exposure time to the ultrasonic treatment influenced the quality of the fruits. The fruits of the group G5M presented less degradation, for some parameters (weight loss, pH, titratable acidity and concentration of sugars). In contrast, the fruit of the group G15M showed accelerated degradation. The effect of the cavitation phenomenon provoked by ultrasound treatment cause the irreversible destruction and inactivation of enzymes. Thus, it is assumed that 5 min of the treatment may have been more effective in reducing the action of some enzymes, and with15 min, the cavitation phenomenon may have been excessive for cell tissue and caused degradation and anticipated senescence. The results of this study suggest that ultrasonic treatment can be effective in preserving the quality of fruits, but, the treatment time needs to be better investigated.
STUDY OF MANGROVE COMMUNITY STRUCTURE IN UJUNG BATU BEACH WATER, FLORES SEA, JENEPONTO DISTRICT

This study aims to examine the density, frequency and closure of mangrove areas. In addition, it also analyzed the ecological index (index of diversity, uniformity, and dominance) of mangrove vegetation in the waters of Ujung Batu, Flores Sea, Jeneponto Regency. This research was conducted using the 10 x 10 m2 transect plot method. The data obtained were analyzed to determine the density, frequency, closure and important value index (IVI) as well as to analyze the diversity index, uniformity and dominance index. The results of this study are; mangrove communities in the waters of the Ujung Batu, Flores coast, consists of types Avicennia alba, A. marina, A. officinalis, Sonnneratia alba and Rhizophora stylosa. A. alba dominates at the three observation stations (I, II and III). This is marked by the high importance (IVI) at all levels. The diversity index (H ') at the study site ranged from 0.36 - 0.51, indicating a low level of diversity. The Simpson dominance index (SDI) ranges from 0.34 to 0.54, indicating that one of the species (A. alba) dominates the mangrove area in the study site.
Validity and reliability construct of subjective well being scale

The research objectives are to describe the subjective well-being of teachers, analyze the validity and reliability construct of subjective well-being scale, and find the shaper component of subjective well-being scale construct. The subjective well-being scale measure components with two components are cognitive and affective. The subject of the research is the teachers work in "X" Junior High School with a total of 69 people. The data collecting method is using a subjective well-being scale. The research data were analyzed by Structural Equation Modelling (SEM) SmartPLS 3.2. 8 with a reflective construct through 2nd order CFA. Based on the analysis result of the validity and construct reliability, the components and indicators which form subjective well-being to teachers are stated valid and reliable. It points to all existed indicators and components that are able to reflect and form subjective well-being. By then, the measurement model could be accepted because of the theory reflecting subjective well-being based on empirically collected data.
MAIZE PRODUCTION TECHNOLOGIES IN INDIA- A REVIEW

Maize is considered a promising option for diversifying agriculture in upland areas of India. It now ranks as third most important food grain crop of India. The maize area has slowly expanded over the past few years to about 6.2 million ha. This area would further grow further to meet future food, feed, and other demands, especially in view of the booming livestock and poultry producing sectors in the country. Since opportunities are limited for further expansion of maize area, future increases in maize supply will be achieved through the intensification and commercialization of current maize production systems.
A Study on Ontology-Based Semantic Search System

요 약 현재 웹 서비스에서 주로 사용하고 있는 키워드 기반 검색은 사용자의 의도와는 상관없는 정보까지 검색하는 경우가 많아서, 실제로 원하는 정보를 찾는데 많은 시간과 노력을 요구한다는 단점이 있다. 이러한 단점을 보완하기 위해서 최근 시맨틱 웹이라는 개념이 등장하였으며, 본 논문에서는 검색 결과 의 신뢰성을 향상시키기 위해 온톨로지를 기반으로 시맨틱 검색시스템을 설계하였다. 본 논문에서 설계한 온톨로지 기반의 시맨틱 검색 시스템은 기능적으로 크게 두 부분으로 구성되어 있다. 즉, 자료 수집을 하는 로봇 에이전트와 온톨로지를 기반으로 자료를 검색하는 시맨틱 검색 엔진 으로 구성된다. 로봇 에이전트는 자율적으로 웹을 순회하면서 자료를 수집하고 필터링하여 메타데이터 저장소로 가져오는 역할을 한다. 시맨틱 검색 엔진은 사용자의 검색 폼으로부터 전달된 정보 검색 요 구사항을 기초로 시맨틱 질의어로 변환한 후, 온톨로지 저장소를 활용하여 검색한다. 시맨틱 검색 엔 진은 사용자가 입력한 검색어를 시맨틱 질의어로 변환해 주는 질의처리 모듈과 사용자의 의도를 추론 하여 보다 향상된 검색을 가능하게 해주는 추론(Inference) 모듈, 온톨로지를 보관해주는 온톨로지 저장 소 등으로 구성된다. 본 논문에서 설계한 온톨로지 기반의 시맨틱 검색 시스템은 키워드 기반 검색에 비해 사용자가 원 하는 정보를 찾는데 소요되는 시간과 노력을 줄여 주고, 사용자의 의도에 적합한 정보를 제공할 것으 로 기대된다.
Evidence for energetic particle precipitation and quasi-biennial oscillation modulations of the Antarctic NO2 springtime stratospheric column from OMI observations

Abstract. Observations from the Ozone Monitoring Instrument (OMI) on the Aura satellite are used to study the effect of energetic particle precipitation (EPP, as proxied by the geomagnetic activity index, Ap) on the Antarctic stratospheric NO2 column in late winter–spring (August–December) during the period from 2005 to 2017. We show that the polar (60–90∘ S) stratospheric NO2 column is significantly correlated with EPP throughout the Antarctic spring, until the breakdown of the polar vortex in November. The strongest correlation takes place during years with the easterly phase of the quasi-biennial oscillation (QBO). The QBO modulation may be a combination of different effects: the QBO is known to influence the amount of the primary NOx source (N2O) via transport from the Equator to the polar region; and the QBO phase also affects polar temperatures, which may provide a link to the amount of denitrification occurring in the polar vortex. We find some support for the latter in an analysis of temperature and HNO3 observations from the Microwave Limb Sounder (MLS, on Aura). Our results suggest that once the background effect of the QBO is accounted for, the NOx produced by EPP significantly contributes to the stratospheric NO2 column at the time and altitudes when the ozone hole is present in the Antarctic stratosphere. Based on our findings, and the known role of NOx as a catalyst for ozone loss, we propose that as chlorine activation continues to decrease in the Antarctic stratosphere, the total EPP-NOx needs be accounted for in predictions of Antarctic ozone recovery.
Partitioning and Communication Strategies for Sparse Non-negative Matrix Factorization

Non-negative matrix factorization (NMF), the problem of finding two non-negative low-rank factors whose product approximates an input matrix, is a useful tool for many data mining and scientific applications such as topic modeling in text mining and unmixing in microscopy. In this paper, we focus on scaling algorithms for NMF to very large sparse datasets and massively parallel machines by employing effective algorithms, communication patterns, and partitioning schemes that leverage the sparsity of the input matrix. We consider two previous works developed for related problems, one that uses a fine-grained partitioning strategy using a point-to-point communication pattern and one that uses a Cartesian, or checkerboard, partitioning strategy using a collective-based communication pattern. We show that a combination of the previous approaches balances the demands of the various computations within NMF algorithms and achieves high efficiency and scalability. From the experiments, we see that our proposed strategy runs up to 10x faster than the state of the art on real-world datasets.
Multilevel Modeling of Resection Accuracy: Insights from 10,144 Clinical Cases using A Contemporary Computer-Assisted Total Knee Arthroplasty System

This study applied an advanced statistical tool (multilevel modeling) to assess the accuracy of bony resection during total knee arthroplasty on 10144 cases performed using a modern CAOS system. An extensive list of factors was included for the modeling, including geographic region, inter-surgeon difference, surgeon’s adoption of the technology (learning or proficient phases), and historical progression of the CAOS application (software versions). The comprehensive analysis demonstrated that the CAOS system is an accurate and precise solution to assist the surgeons to achieve his/her surgical resection goals.
Trust, Confidence And Social Capital In The Democratization Process Of Eastern Countries

Current theories on the Eastern European Countries support the idea that the governments produce democracy (Choen, 1997, Levi, 1998, 1999; Offe, 1999, Rothnstein, 2001). While some authors show a failure to find correlation between aggregate measures of social capital and democratization level (Dowley, Silver, 2001), others give evidence that distrust for politician or parties is a peculiarity of many eastern countries (Schmitter, 1994). Using the European and World Values Studies (1995-1997) and considering six Eastern countries (Bulgaria, Estonia, Latvia, Lithuania, Poland and Slovenia), we analyzed, with a model of structural equation, the impact of social trust, social capital, democracy support, and other socio-demographic variables on the level of democratization (Free House, 1997). The results, on the aggregate level, show that: i) trust can produce democracy support (Inglehart, 1999) and democracy (Uslaner, 2002) but not the contrary as Levi and other scholars claim; ii) social capital, although registered at low levels, has an acceptable relationship both to democracy support and to democratic level; iii) the scarce democracy support (confidence in public institutions) has a negative impact on the democratic level. The new democracy and democratization Since the fall of the Berlin Wall, many non-democratic regimes have undergone a transition to democracy, that in the East Europe we can image as a “domino effect” or, talking about out the metaphor, “effect of diffusion” (Starr, 1991). The nature of this process is surely ambivalent if we consider two aspects: on one hand, the political trust is determined by specific transitional processes and conditions in each particular country; on the other hand, taking into account the fast information exchange, we cannot ignore the influence of socio-political changes in Western countries on the Eastern states, defined as new democracies because they don’t have democratic traditions. In this sense, we need to include the possibility that certain disillusionment with representative democracy, which can be seen in Western countries, may also create more scepticism and criticism in postCommunist countries with respect to democracy and its institutions. The metaphor of the domino effect is well fitting if we think that from August to December 1989, six countries changed regime: the breakdown of non-democratic communist regimes, which started in Poland (August 1989) and continued in the other countries, has inspired many authors to invoke the “diffusion effect” in their research (Huntington, 1990; Lipset, 1994; Linz Stepan, 1996). The literature on democratic transitions has focused on political processes and choice of actor to explain regime changes, thereby failing to investigate whether structural factors affect the recent rise of transitions to democracy (Rustow, 1970; O’Donnel, Schmitter, 1986; Di Palma, 1990; Przeworski, 1991; Mainwairing et
Discussion on the mode mixing in wave energy control systems using the Hilbert-Huang transform

A great improvement in the absorption of energy of a wave energy converter (WEC) is obtained with a time-varying power take-off (PTO) damping over a constant damping. In a passive control scheme based on the Hilbert-Huang transform (HHT), the PTO damping is time-varying and tuned to the instantaneous frequency of the wave excitation force. The HHT method relies on the use of the empirical mode decomposition (EMD) method to decompose the wave signal into a number of components (IMFs) from the highest to the lowest frequency component. However, the decomposition process is not always perfect and may result in mode mixing, where an IMF will consist of signals of widely disparate frequency scales, or different IMFs will consist of signals with similar frequency scales. Mode mixing can be caused by intermittent/noisy signals, and by specific amplitude and frequency relations of the original modes in the signal. The aim of this paper is to extend the studies on the use of the HHT for WEC tuning purposes by revealing how the EMD mode mixing problem affects the WEC performance. A comprehensive study using firstly synthetic two-tone waves (i.e., superposition of two sinusoidal waves) is performed. Then, the observations from the two-tone studies are used to further improve the energy absorbed by WECs using the HHT in real ocean wave scenarios resembling the analytic scenario.
Personal Information Disclosure Control in Context-aware Healthcare Applications

There is a tradeoff between user’s privacy and utility of context-aware services in ubiquitous computing environments. Many privacy models have been proposed to support the disclosure of personal information at different levels of detail, in ubiquitous computing environments. However, most of these models do not allow for explicit criteria to assess the benefit users are likely to reap by disclosing their personal information. In this paper, we propose an automated decision making mechanism that evaluates the “benefit of disclosure” for the users based on trust relationships between users and information requesters and manages the disclosure of user’s personal information accordingly. Unlike other trust models, we do not regard the reputation of an information requester as sufficient to determine his/her trustworthiness. Instead, we represent trustworthiness as a function of information requester’s reputation in the eyes of the user and his/her competence in a given context. To validate our mechanism, we apply it to context-aware healthcare application that monitors physiological condition of a user.
ERAS – An Ontology-Based Tool for the Expeditious Reconstruction of Virtual Cultural Heritage Sites

Abstract In the last years several researchers have proposed semi-automatic methods for the expeditious modelling of virtual buildings or even entire cities, in some cases applied to the cultural heritage reconstruction. However, most of the approaches focus the generation of the building exteriors. Despite the existing research work on interiors generation, there is still a lack of support from real rules. Besides, the specification of generation rules involves an extensive analysis of documents such as books, historical documents, floor plans and other graphical representations, and knowledge about grammar languages as well. We intend to follow these lines of research in order to get an expeditious modelling tool that will produce high fidelity models, employing procedural modelling techniques. This paper aims to present the global architecture of a system for the reconstruction of virtual heritage sites, applying a new method for extracting information from geographical data and textual descriptions. Moreover, it is intended to present an abstract ontology to rule the information extraction and defines a semantic relationship between the different elements that compounds a generic city in order to allow derivation by other architectonic styles.
On-Device Detection of Repackaged Android Malware via Traffic Clustering

Malware has become a significant problem on the Android platform. To defend against Android malware, researchers have proposed several on-device detection methods. Typically, these on-device detection methods are composed of two steps: (i) extracting the apps’ behavior features from the mobile devices and (ii) sending the extracted features to remote servers (such as a cloud platform) for analysis. By monitoring the behaviors of the apps that are running on mobile devices, available methods can detect suspicious applications (simply, apps) accurately. However, mobile devices are typically resource limited. The feature extraction and massive data transmission might consume substantial power and CPU resources; thus, the performance of mobile devices will be degraded. To address this issue, we propose a novel method for detecting Android malware by clustering apps’ traffic at the edge computing nodes. First, a new integrated architecture of the cloud, edge, and mobile devices for Android malware detection is presented. Then, for repackaged Android malware, the network traffic content and statistics are extracted at the edge as detection features. Finally, in the cloud, similarities between apps are calculated, and the similarity values are automatically clustered to separate the original apps and the malware. The experimental results demonstrate that the proposed method can detect repackaged Android malware with high precision and with a minimal impact on the performance of mobile devices.
“ Virtual ” (Computed) Fractional Flow Reserve Current Challenges and Limitations

Fractional ﬂ ow reserve (FFR) is the “ gold standard ” for assessing the physiological signi ﬁ cance of coronary artery disease during invasive coronary angiography. FFR-guided percutaneous coronary intervention improves patient outcomes and reduces stent insertion and cost; yet, due to several practical and operator related factors, it is used in < 10% of percutaneous coronary intervention procedures. Virtual fractional ﬂ ow reserve (vFFR) is computed using coronary imaging and computational ﬂ uid dynamics modeling. vFFR has emerged as an attractive alternative to invasive FFR by delivering physiological assessment without the factors that limit the invasive technique. vFFR may offer further diagnostic and planning bene ﬁ ts, including virtual pullback and virtual stenting facilities. However, there are key challenges that need to be overcome before vFFR can be translated into routine clinical practice. These span a spectrum of scienti ﬁ c, logistic, commercial, and political areas. The method used to generate 3-dimensional geometric arterial models (segmentation) and selection of appropriate, patient-speci ﬁ c boundary conditions represent the primary scienti ﬁ c limitations. Many con ﬂ icting priorities and design features must be carefully considered for vFFR models to be suf ﬁ ciently accurate, fast, and intuitive for physicians to use. Consistency is needed in how accuracy is de ﬁ ned and reported. Furthermore, appropriate regulatory and industry standards need to be in place, and cohesive approaches to intellectual property management, reimbursement, and clinician training are required. Assuming successful development continues in these key areas, vFFR is likely to become a desirable tool in the functional assessment of coronary artery disease. (J Am Coll Cardiol Intv 2015;8:1009 – 17) © by Paterson E, et al. Results of FDA ’ s ﬁ rst interlaboratory computational study of a nozzle with a sudden contraction and conical diffuser. Cardiovasc Eng Tech 2013;4: 374 – 91.
Ovarian cancer cells, not normal cells, are damaged by Mirk/Dyrk1B kinase inhibition

Prior studies had shown that the Mirk/dyrk1B gene is amplified/upregulated in about 75% of ovarian cancers, that protein levels of this kinase are elevated in quiescent G0 cells and that Mirk maintains tumor cells in quiescence by initiating rapid degradation of cyclin D isoforms and by phosphorylation of a member of the DREAM complex. Depletion of Mirk/dyrk1B led to increased cyclin D levels, an elevated reactive oxygen species (ROS) content and loss of viability. However, many normal cells in vivo are quiescent, and therefore, targeting a kinase found in quiescent cells might be problematic. In our study, Mirk kinase activity was found to be higher in ovarian cancer cells than in normal cells. Pharmacological inhibition of Mirk/dyrk1B kinase increased cyclin D levels both in quiescent normal diploid cells and in quiescent CDKN2A‐negative ovarian cancer cells, but led to more active CDK4/cyclin D complexes in quiescent ovarian cancer cells, allowing them to escape G0/G1 quiescence, enter cycle with high ROS levels and undergo apoptosis. The ROS scavenger N‐acetyl cysteine reduced both the amount of cleaved poly(ADP‐ribose) polymerase (PARP) and the extent of cancer cell loss. In contrast, normal cells were spared because of their expression of cyclin directed kinase (CDK) inhibitors that blocked unregulated cycling. Quiescent early passage normal ovarian epithelial cells and two strains of quiescent normal diploid fibroblasts remained viable after the inhibition of Mirk/dyrk1B kinase, and the few cells that left G0/G1 quiescence were accumulated in G2+M. Thus, inhibition of Mirk kinase targeted quiescent ovarian cancer cells.
PALIPERIDONE ER: A NEW TREATMENT FOR SCHIZOPHRENIA

A new second-generation antipsychotic for the treatment of schizophrenia has been found. Paliperidone ER (Invega TM) was approved in 2007 by Food and Drug Administration (FDA) to treat patients with schizophrenia. The formulation of Paliperidone ER by using the Alza OROS (Osmotic-controlled Release Oral-delivery System) and utilizing osmotic pressure release medication in smooth blood plasma levels. Several studies that were sponsored by Johnson and Johnson Pharmaceutical Research and Development found that all doses of paliperidone ER is effective in controlling a broad range of the symptoms of schizophrenia and personal and social functioning and generally well tolerated. (JKS 2013; 3: 159-165)
A Calcineurin-dependent Switch Controls the Trafficking Function of (cid:1) -Arrestin Aly1/Art6

Background: In response to nutrient signals, (cid:1) -arrestins selectively regulate trafficking of membrane transporters. Results: Aly1 is a substrate of the phosphatase calcineurin, and dephosphorylation triggers Aly1-dependent internalization of the permease Dip5. Conclusion: Endocytic function of (cid:1) -arrestins is stimulated by removal of inhibitory phosphorylation. Significance: These insights define a molecular mechanism controlling the function of an (cid:1) -arrestin in endocytosis, which is critical for cellular adaptation. shown, to share (18). We located 22 phospho-sites in Aly1, identified a subset of these as regulated by calcineurin, and delineated the specific P X I X IT-dock-ing motif in Aly1 needed for its interaction with and dephosphorylation by calcineurin. We further show that Aly1 mutants that cannot be dephosphorylated by calcineurin or that mimic persistent phosphorylation are unable to reduce cell surface levels of Dip5. Thus, these studies identify a new role for calcineurin in membrane trafficking; calcineurin promotes vacuolar trafficking of Dip5 by dephosphorylating Aly1, thereby stimulating its endocytic function. By contrast, we found that dephosphorylation of Aly1 is not required for its role in the intracellular sorting of Gap1. Our data add to the growing body of evidence that (cid:1) -arrestin-mediated trafficking is strictly con-trolled by a phosphorylation-dependent switch wherein phosphorylation blocks and dephosphorylation promotes the function of an (cid:1) -arrestin in endocytosis. This study further identifies the first phosphatase responsible for direct regulation of an (cid:1) -arrestin.