Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Different Sound Genres on In Vitro Seed Germination of Grammatophyllum Hybrid and Grammatophyllum Stapeliiflorum Orchids

Auditory stress has been known to affect the development of plants. Recent findings have shown that the stress produced by music induced a positive effect on plants growth. However, different types of music have different kinds of stimulation on plant development. The aim of this study was to examine the in vitro seed germination of two Grammatophyllum species when exposed to five different music genres. The Grammatophyllum species used were G. hybrid and G. stapeliiflorum while the music genres were Instrumental, Rock, Hip hop, Yassin (Quranic reciting) and Ballad. Green capsules of Grammatophyllum hybrid and Grammatophyllum stapeliiflorum were obtained from Triang Botanical Valley, Pahang, Malaysia. Each group of seed cultures were exposed to different music genre for 8 hours starting from 9 am until 5 pm, each for a 6 months period. Seed cultures were kept in the dark for the first 3 months. One untreated (no music) group was kept as a control. All cultures were maintained on half-strength Murashige and Skoog (MS) media supplemented with 30 g/L sucrose, 0.5 mg/L 6-benzylaminopurine (BAP), 2 g/L peptone, 1 g/L activated charcoal and 2.5 g/L gelrite. Observations were recorded every month for the number of shoots emerged and shoot length. Data was analysed by using a one-way ANOVA. At the end of the experiment, it was found that music exposure had a positive effect on the seeds’ germination as compared to the untreated control group. For G. hybrid species, the highest shoots number counted was 19.33±3.79 which was observed on seeds exposed to Yassin. The highest shoot length measured was 2.02±1.10 cm when it was exposed to Rocks music. In contrast, G. stapeliiflorum species showed the highest number of shoots of 12.00±2.64 when exposed to Ballad and the highest shoot length achieved by this species was 0.99±0.38 cm when it was exposed to Instrumental music. Analysis by using Kruskal-Wallis H and one-way ANOVA showed that p < 0.05 for all parameters. The findings showed that different species of orchids need a different type of music to influence the rate of its germination and growth.
A recovery-oriented peer provider (ROPP) work-role model and prototype measure

ABSTRACT Peer providers (PPs) are essential in recovery-oriented mental health (MH) services but are often disempowered and their role is misunderstood. The author aimed to enhance the PP work role by (1) conceptualizing PPs’ optimal views and experiences of their work role and (2) presenting a prototype self-report measure to assess PP optimal expression in MH services. The author analyzed optimal work-role experiences described by 25 PPs working in diverse MH settings using a grounded theory approach. To develop the measure the author employed the Delphi method with another group of eight experienced PPs. The author defines a recovery-oriented peer provider (ROPP) work-role model involving three domains: basic skills, peer-oriented relationships, and role motivations. Based on the ROPP model, the author developed a prototype 38-item self-report scale. The scale gauges multilevel PP processes: providing support via lived experience; communicating the consumer-voice/lived-experience to MH staff; identifying with and being motivated by the PP role. ROPP characterizes PPs’ use of lived experience within eye-level relationships in traditional MH services. ROPP is relevant to diverse MH services interested in developing a recovery orientation. The ROPP scale, once psychometrically validated, can assess PPs optimal expression in MH services, and can already be used for self- assessment and organizational consultation.
MtdC, a Novel Class of Methylene Tetrahydromethanopterin Dehydrogenases

ABSTRACT Novel methylene tetrahydromethanopterin (H4MPT) dehydrogenase enzymes, named MtdC, were purified after expressing in Escherichia coli genes from, respectively, Gemmata sp. strain Wa1-1 and environmental DNA originating from unidentified microbial species. The MtdC enzymes were shown to possess high affinities for methylene-H4MPT and NADP but low affinities for methylene tetrahydrofolate or NAD. The substrate range and the kinetic properties revealed by MtdC enzymes distinguish them from the previously characterized bacterial methylene-H4MPT dehydrogenases, MtdA and MtdB. While revealing higher sequence similarity to MtdA enzymes, MtdC enzymes appear to fulfill a function homologous to the function of MtdB, as part of the H4MPT-linked pathway for formaldehyde oxidation/detoxification.
A practical approach to in vivo quantification of physiological cross-sectional area for human skeletal muscle

Physiological cross-sectional area (PCSA) is an important property used to predict the maximal force capacity of skeletal muscle. A common approach to estimate PCSA uses an algebraic formula based on muscle volume (MV), fascicle length (FL) and pennation angle (PA) that are measured by magnetic resonance imaging (MRI) and ultrasonographic assessments. Due to the limited capability of assessing architecturally complex muscles with these imaging modalities, the accuracy of measurements and ultimately PCSA estimation is compromised. On the other hand, cadaveric modeling provides a more accurate quantification by effectively dealing with the variable complexity of the muscle but it may not be straightforward to directly apply to in vivo studies. Thus, the purpose of our study is to provide a practical approach to PCSA estimation for in vivo muscle by integrating both cadaveric and ultrasound data. The muscle architecture in vivo is approximated by fitting 3D cadaveric data onto 2D ultrasound data of living subjects. The fitted architectural data is used for PCSA quantification. Validation experiments based on synthetic muscle and cadaveric data, respectively, demonstrate 0.4 − 8.4 % errors between original architecture and its approximation, depending on the anatomical complexity. Furthermore, it is shown that, despite the large inter-subject variability of cadaveric data (standard deviation: ±153.2 mm2), their transformation toward 2D ultrasound data consistently yields a narrow distribution of PCSA estimation (standard deviation: ±24.6 ∼ ±35.7 mm2), which provides a practical insight into accurate quantification of PCSA for in vivo muscle.
Ultra-Low Power Passive UHF RFID for Wireless Sensor Networks

This paper presents two ultra-low-power voltage sensors and a voltage protection, to optimize the charge of the supply capacitor in passive UHF RFID sensors. The state-of-the-art in the field is analyzed and compared with the proposed circuits using a 0.35 mum 2P4M CMOS process. The measured current consumption of the voltage sensors are 70 nA and 0.2 nA at 3.3 V. The voltage protection circuit consumes less than 60 nA at 3 V. Additionally, a low power consumption voltage regulator is presented. Experimental results prove its proper operation.
Complexity Of Computations

Construction of algorithms is a time honored mathematical activity. Euclid's algorithm for finding the greatest common divisor of two integers, as well as the many constructions by a ruler and compass are some of the fruits of the search for algorithms by the Greek mathematicians. In our days, we have the whole field of Numerical Analysis devoted to finding a variety of algorithms for numerical integration of differential equations.
Improved Chopper Stabilized Amplifier for Offset and 1/f Noise Cancellation

The limits of the conventional chopper stabilization technique for cancelling the 1/f noise are studied theoretically and with simulations. The expected replicas of the 1/f noise at the chopping frequency and its multiples are attenuated by a modified chopping control. Simulation done using records of real 1/f noise outputs show that the spectrum of the signal does not change but 1/f replicas are reduced by more than 40 dB. The required circuit for the generation of the chopping signal is also described. The resulting overhead with respect to conventional solutions is negligible and fully acceptable.
MetaMorpho: A Pattern-Based Machine Translation System

This paper describes an efficient real-time comprehension assistance and machine translation method. Combining the advantages of example-based (EBMT) and rule-based machine translation (RBMT), a new paradigm, pattern-based translation is presented. A system based on these principles that features an innovative user-friendly interface has been built. Called MetaMorpho, the system has been tested for English-Hungarian translation, and showed very promising results both in translation quality and speed.
Parallels and differences in the treatment of metaphor in relevance theory and cognitive linguistics

Abstract Both cognitive linguists and relevance theorists are developing original approaches to metaphor. Both shed new light on old debates and suggest fruitful directions for research. Although there has so far been little interaction between the two approaches, Raymond Gibbs and Markus Tendahl (Mind & Language 21: 379–403, 2006, Journal of Pragmatics 40: 1823–1864, 2008) have recently begun to compare them and consider how they might be combined. This paper is intended as a contribution to that debate. After outlining some parallels and differences between the two approaches, I will discuss how they might fit together to give a fuller picture of the role of metaphor in language and thought.
Elliot Waves Predicting for Stock Marketing Using Euclidean Based Normalization Method Merged with Artificial Neural Network

Financial Marketing is very common in the world to make money or to control the company strategy. Nearly all events trigger to each other and moreover countries. Some predicting methods, on guessing the marketing depends on natural behavior of the events. When, have a scrutinize to backwards, it can be evaluated that some upfront events occur periodically and trigger to each others and may lead to next known moving. Elliot is one of the famous estimating methods on stock marketing. Elliot waves let to time to think and analyze the next moving not in hurry. The proposed method consist of three stages (i) arranging the real time data (ii) data normalization according to Euclidean distance named Euclidean Based Normalization Method and (iii) performing artificial neural network to predict the next swing of the stock or financial marketing. The results compared raw data results and minimum maximum normalization methods to EBNM. Mean squared error and Average Deviation and R2 statistical value were used as performance criteria. According to MSE, the obtained results were 0.000484, 0.205069 and 0.003178 minimum maximum normalization, raw data set and EBNM method respectively. The performance of the proposed method has more accurate than the other two methods.
Cloning of murine TCF-1, a T cell-specific trans cription factor interacting with functional motifs in the CD3ε and T cell receptor α enhancers.

CD3-e gene expression is confined to the T cell lineage. We have recently identified an cloned a human transcription factor, TCF-1, that binds to a functional element in the T lymphocyte-specific enhancer of CD3-e. In a panel of human cell lines, TCF-1 expression was restricted to T lineage cells. TCF-1 belonged to a novel family of genes that contain the so-called high mobility group 1 (HMG) box. Here we report the cloning of murine TCF-1. The T lineage-specific expression and the affinity for functional motifs in the TCR-α and CD3-e enhancers imply an important role for TCF-1 in the establishment of the mature T cell phenotype
A Faithful Representation of Temperley-Lieb Algebras in Matrices

It is shown that Temperley-Lieb algebras in which the multiplicative generators satisfy hihi = nhi for n ≥ 2 can be isomorphically represented in matrices. Mathematics Subject Classification (2000): 57M99, 15A03, 16G99, 05C50
Secure aggregation in hybrid mesh/sensor networks

Several researchers are proposing information systems-based Wireless Sensor Networks (WSNs) that provide an extensible and effective means to monitor large and diverse geographical areas. Nodes in a WSN are characterized by very limited computing capabilities and energy consumption is a major concern, which implies that communications should be minimized, thus unorthodox solutions are required for many situations. The definition of secure and privacy aware solutions, ensuring at the same time limited power consumption of transmitted data is then a great challenge. In this paper we present an hybrid mesh/sensor network, which allows to deliver a transparent multi-hop wireless backhaul able to handle in a secure way different kinds of data (temperature, humidity, etc.), coming from different kinds of wireless sensor networks. The main idea is based on a sharing of tasks between wireless mesh networks and wireless sensor networks. Our architecture is particularly suitable to realize an application agnostic mesh backhaul able to concurrently support multiple WSNs, while ensuring both end-to-end encryption and hop-by-hop authentication. Hence, in order to evaluate the performance of the proposed architecture an ad-hoc prototype is realized.
Characterizing and Avoiding Routing Detours Through Surveillance States

An increasing number of countries are passing laws that facilitate the mass surveillance of Internet traffic. In response, governments and citizens are increasingly paying attention to the countries that their Internet traffic traverses. In some cases, countries are taking extreme steps, such as building new Internet Exchange Points (IXPs), which allow networks to interconnect directly, and encouraging local interconnection to keep local traffic local. We find that although many of these efforts are extensive, they are often futile, due to the inherent lack of hosting and route diversity for many popular sites. By measuring the country-level paths to popular domains, we characterize transnational routing detours. We find that traffic is traversing known surveillance states, even when the traffic originates and ends in a country that does not conduct mass surveillance. Then, we investigate how clients can use overlay network relays and the open DNS resolver infrastructure to prevent their traffic from traversing certain jurisdictions. We find that 84\% of paths originating in Brazil traverse the United States, but when relays are used for country avoidance, only 37\% of Brazilian paths traverse the United States. Using the open DNS resolver infrastructure allows Kenyan clients to avoid the United States on 17\% more paths. Unfortunately, we find that some of the more prominent surveillance states (e.g., the U.S.) are also some of the least avoidable countries.
Nitric Oxide–Dependent Activation of P53 Suppresses Bleomycin-Induced Apoptosis in the Lung

Chronic inflammation leading to pulmonary fibrosis develops in response to environmental pollutants, radiotherapy, or certain cancer chemotherapeutic agents. We speculated that lung injury might be mediated by p53, a proapoptotic transcription factor widely implicated in the response of cells to DNA damage. Intratracheal administration of bleomycin led to caspase-mediated DNA fragmentation characteristic of apoptosis. The effects of bleomycin were associated with translocation of p53 from the cytosol to the nucleus only in alveolar macrophages that had been exposed to the drug in vivo, suggesting that the lung microenvironment regulated p53 activation. Experiments with a thiol antioxidant (N-acetylcysteine) in vivo and nitric oxide (NO) donors in vitro confirmed that reactive oxygen species were required for p53 activation. A specific role for NO was demonstrated in experiments with inducible nitric oxide synthase (iNOS)−/− macrophages, which failed to demonstrate nuclear p53 localization after in vivo bleomycin exposure. Strikingly, rates of bleomycin-induced apoptosis were at least twofold higher in p53−/− C57BL/6 mice compared with heterozygous or wild-type littermates. Similarly, levels of apoptosis were also twofold higher in the lungs of iNOS−/− mice than were observed in wild-type controls. Consistent with a role for apoptosis in chronic lung injury, levels of bleomycin-induced inflammation were substantially higher in iNOS−/− and p53−/− mice compared with wild-type controls. Together, our results demonstrate that iNOS and p53 mediate a novel apoptosis-suppressing pathway in the lung.
Predicting information cascade on Twitter using support vector regression

Twitter is one of the very popular micro-blogging platforms for people to share content and information. Information propagates through the interaction between users with many different ways, such as retweet, mention or reply. With those abilities, Twitter has become one of the medium for advertisers to perform the marketing campaign. Sometimes in their campaign, advertisers hire several buzzers to make the campaign activity running more organically. In this paper we will discuss how to predict information cascades, in term of number interaction over the network that will happen just after buzzer doing its campaign. We formulate the task into a regression problem and define a feature-set, then extract the features on initial interaction data to build a model for prediction. Our experiment shows that Support Vector Regression (SVR) is better than Linear Regression (LR) algorithm. SVR has Mean Absolute Error (MAE) ranged from 1.54 to 33.93. We also found that the optimal setting of initial interaction data is 2 hours time lag which hit the lowest MAE 1.54.
Safety of antibiotic and probiotic feed additives for Gallus gallus domesticus

8 Introduction. 9 Multifactoral role in health and growth . 9 Modulation of nutrition and digestion . 11 Microbiome modulation . 14 Modulation of broiler physiology . 17 Immune modulation . 20 Conclusions . 24 References . 25 Chapter 3 . 43 Characterisation of L. johnsonii DPN184, L. salivarius DPN164, L. crispatus DPN167, L. gallinarum DPN164, E. faecalis DPN94 and B. amyloliquefaciens DPN123 isolated from healthy free-range broilers . 43 Abstract . 43 Stellenbosch University https://scholar.sun.ac.za. 43 Stellenbosch University https://scholar.sun.ac.za
Correlates of Stalking in Dating Relationships: The Role of Motivating Factors and Behavioral Repertoire Deficits

STRAUSS, CATHERINE V. , M.S., April 2016, Clinical Psychology Correlates of Stalking in Dating Relationships: The Role of Motivating Factors and Behavioral Repertoire Deficits Director of Thesis: Ryan C. Shorey Within the dating violence literature, physical, psychological, and sexual aggression have been extensively studied, and it has been well-documented that many college students will experience some form of dating violence during their time at university. Stalking is a form of dating violence that has mostly been studied after relationship termination, despite evidence suggesting that stalking occurs within current dating relationships. Consequently, there is very little known research on correlates of stalking perpetration among intact dating relationships. Therefore, the aim of the current study was to examine correlates of stalking perpetration among college men and women in intact dating relationships (N = 627) in order to identify possible risk factors for stalking perpetration. Using the dating violence literature and Bell and Naugle’s (2008) theoretical framework for IPV perpetration as a guide, four potential correlates of stalking were examined: emotion regulation, anger management, relationship satisfaction, and alcohol use. Gender differences in relationships among these four correlates and stalking perpetration were also examined using previously collected cross-sectional data (Shorey, Cornelius, Strauss, 2015). Structural equation modeling demonstrated that anger management and emotion regulation were positively related to stalking perpetration, and relationship satisfaction was negatively related to stalking perpetration. Furthermore, no
Energy description of human motion capture data

In this paper, we present a novel energy-based model to describe human motion. According to biomechanics attribute of human body, we define kinetic and potential energy for each joint, upon which we convert the trajectory-based description of human motion into multi-dimensional energy series. As Dynamic Time Warping (DTW) distance is used to measure the similarity of motions, we employ an index for DTW, which is based on piecewise constant approximation, in order to speed up the query.
Object extraction based on 3D-segmentation of LiDAR data by combining mean shift with normalized cuts: Two examples from urban areas

In this work, we have looked into the problem of urban analysis using airborne LiDAR data based on the strategy of classification by segmentation. Segmentation is a key and hard step in the processing of 3D point clouds, which is not perfectly solved in view of different applications. A new 3d segmentation method incorporating the advantages of nonparametric and spectral graph clustering is presented here to facilitate the task of object extraction in urban areas. This integrated method features local detection of arbitrary modes and globally optimized organization of segments concurrently, thereby making it particularly appropriate for partitioning raw airborne LiDAR data of urban areas into segments approximating semantic entities. Two examples in urban areas — flyover and vehicle are chosen as interest objects to be extracted by a classification-based step. The approach has been tested on LiDAR data of dense urban areas, and the results that are obtained have been compared with manual counts and showed us the efficiency and reliability of the strategy.
PHYSICAL ACTIVITY AND COGNITIVE HEALTH CONDITION OF INSTITUTIONALIZED ELDERLY IN PASSO FUNDO-RS, BRAZIL

AbstractThe research aimed at identifying factors related to physical activity and cognitive health in elderly living in long-stay institutions. It is a populational based cross sectional study with 191 individuals aged ? 60 years. It was analyzed sociodemographic variables and the ones related to health. Crude multivariable analysis were run upon Poisson regression, estimating the ratios of gross and adjusted prevalence and calculated the confidence intervals of 95 % at a significance level of p ? 0.05. The average age was 79,7 years (±9,8). In the adjusted model, the rate of prevalence of physical activity was 1.94 times higher among elderly people without dementia symptoms. The findings reinforce the need for ongoing incentive to physical activity practice for institutionalized elderly, since the reduction or slowing up the complications resulting from dementia and better understanding of the overall picture of health.Keywords: Cognitive Science, Homes for the Aged, Longevity.
Crystallized Rate Regions in MIMO Communications with the Presence of Femtocell Interferers

In this paper the application of the concept of crystallized rate regions to MIMO transmission with femtocell interference is investigated. Based on the referenced work a new game definition specifying the new cost function derived for MIMO transmission with femtocell interference is proposed. Furthermore, the idea of channel approximation for complexity reduction is described. Finally, the simulation results for different MIMO realizations are presented, which prove the correctness of application of the proposed regret-matching algorithm in the MIMO channel scenario with femtocell.