Miracle-dz/UniFAR-FTUs huggingface dataset:
A Quest for Cultural Emancipation through Traditional Attire in Mphambo Village , Vhembe District of South Africa

The use of traditional attire as a cultural and an expression of social identity has become more prevalent amongst female Tsonga youth particularly during traditional ceremonies and/or cultural festivals. This might stem from the quest for the South African youth to reclaim their African identity and ways of life. The paper sought to understand the drive behind wearing traditional attire, which is currently fashionable amongst youth at Mphambo village, Malamulele municipality in Limpopo Province. The paper followed a qualitative research approach which is ethnographic in design. The purposive sampling method was used to select ten key informant participants. Thematic data analysis was used to organize raw data into meaningful themes and descriptions. The findings discovered that female youths staying in rural areas frequently wear fashionable traditional attire called xibelane during festivals. The female youths enjoy the freedom, respect, and honour from elders through wearing xibelane and nceka. The paper also revealed that xibelane stands out to represent an emancipated social identity, which communicates one standing in the community and belonging to one’s culture in a society. Anthropologist, 33(1-3): 59-66 (2018) DOI: 10.31901/24566802.2018/343.1-3.2006 © Kamla-Raj 2018
ffects of two traits of the ecological state equation on our nderstanding of species coexistence and ecosystem services

Species coexistence has been a fundamental issue to understand ecosystem functioning since the beginnings of ecology as a science. The search of a reliable and all-encompassing explanation for this issue has become a complex goal with several apparently opposing trends. On the other side, seemingly unconnected with species coexistence, an ecological state equation based on the inverse correlation between an indicator of dispersal that fits gamma distribution and species diversity has been recently developed. This article explores two factors, whose effects are inconspicuous in such an equation at the first sight, that are used to develop an alternative general theoretical background in order to provide a better understanding of species coexistence. Our main outcomes are: (i) the fit of dispersal and diversity values to gamma distribution is an important factor that promotes species coexistence mainly due to the right-skewed character of gamma distribution; (ii) the opposite correlation between species diversity and dispersal implies that any increase of diversity is equivalent to a route of “ecological cooling” whose maximum limit should be constrained by the influence of the third law of thermodynamics; this is in agreement with the well-known asymptotic trend of diversity values in space and time; (iii) there are plausible empirical and theoretical ways to apply physical principles to explain important ecological processes; (iv) the gap between theoretical and empirical ecology in those cases where species diversity is paradoxically high could be narrowed by a wave model of species coexistence based on the concurrency of local equilibrium states. In such a model, competitive exclusion has a limited but indispensable role in harmonious coexistence with functional redundancy. We analyze several literature references as well as ecological and evolutionary examples that support our approach, reinforcing the meaning equivalence ical an between important phys
Detection and online classification of the near-infrared spectroscopy fast optical signal for brain-computer interfaces

Near-infrared spectroscopy (NIRS) can detect a fast optical signal (FOS), corresponding to optical property changes in neuronal tissue during neuronal activation. The FOS has high temporal and spatial resolution, but has a low signal-to-noise ratio. The FOS has yet to be automatically classified, hence its value as a BCI control signal remains unknown. During offline and online sessions, participants performed a visual oddball task. In offline sessions, the FOS was validated with electroencephalography (EEG) measurements of event-related potential (ERPs). Spectral relationships between FOS and ERP oddball responses were found in upper delta and theta bands using coherence and Granger causality metrics. A temporal FOS-ERP correlation was also found 200 ms after oddball presentation. Offline and online FOS classification of oddballs versus frequent responses was achieved with average balanced accuracies of 62 ± 5% and 63 ± 6%, respectively. FOS classification results were above chance but did not reach the threshold (>70%) for effective BCI communication.
8 FLOSS Project Effectiveness Measures 1

redistribute modifications to the source code. While the open source movement views these freedoms pragmatically (as a development methodology), the free software movement emphasizes the meaning of “free as in speech,” which is captured by the French/Spanish libre, and one of their methods of supporting those freedoms is “copyleft,” famously embodied in the General Public License, meaning that derivative works must be made available under
Novel Natriuretic Peptides and the Cardiorenal Syndrome

r dysfunction in heart failure patients or the presence of cardiac functional impairment in renal failure patients invariably means a worsening prognosis in either setting (1–7). Clinical and experimental studies have concluded that there is not one unique mechanism for cardiorenal syndrome. Decreased renal perfusion in the heart failure setting has been a ssociated with renal hypoxia, increased sympathetic activity, elevated central venous pressure and increased intra-abdominal pressure, oxidative stress, endothelial dysfunction, as well as with activated renin-angiotensin-aldosterone system (RAAS) and vasopressin system (REF) (8–13). Beyond elucidating the mechanisms of this syndrome, there is an unmet need for innovative therapeutics that aim both at the heart and the kidney to enhance both organ systems in the control of opNovel Natriuretic Peptides and the Cardiorenal Syndrome
Technical Change and Gender Wage Inequality : Long-Run Effects of India ’ s Green Revolution ∗ Version : January 13 , 2017

New technologies can have distributional consequences that narrow or widen existing inequalities. In this paper, I estimate the effect of India’s Green Revolution on the gender wage gap in village labor markets. Widely considered the country’s most important episode of agricultural technical change, productivity gains from the Green Revolution were due largely to the introduction of high-yielding variety seeds (HYVs). Their sensitivity to water conditions advantaged locations with reliable irrigation access, which I exploit by constructing a novel dataset of historical groundwater resources as a source of exogenous variation in Green Revolution adoption. Using data from 1956-1987 in a difference-in-differences framework, I estimate that groundwaterrich districts experienced large and significant increases in HYV adoption, crop revenues, and cropping intensity. These productivity gains affected labor markets, with male wages rising, but female wages declining, jointly raising the male wage premium an average 17 percent. Additionally, census and microdata results show women substituted away from wage work, and increased their time in unpaid own-farm work and home production. These outcomes are most likely driven by the sharp yield gains achieved with wheat HYVs. As a male labor-biased crop, the expansion of wheat production contributed to declines in female wage labor participation. These findings document how new technology shocks can generate winners and losers, and offers an example of productivity growth that exacerbated gender disparities.
Lawrence Berkeley National Laboratory Recent Work Title Science Objectives and Early Results of the DEEP 2 Redshift Survey Permalink

The DEIMOS spectrograph has now been installed on the Keck-II telescope and commissioning is nearly complete. The DEEP2 Redshift Survey, which will take approximately 120 nights at the Keck Observatory over a three year period and has been designed to utilize the power of DEIMOS, began in the summer of 2002. The multiplexing power and high eÆciency of DEIMOS enables us to target 1000 faint galaxies per clear night. Our goal is to gather high-quality spectra of 60; 000 galaxies with z > 0:75 in order to study the properties and large scale clustering of galaxies at z 1. The survey will be executed at high spectral resolution, R = = 5000, allowing us to work between the bright OH sky emission lines and to infer linewidths for many of the target galaxies (for several thousand objects, we will obtain rotation curves as well). The linewidth data will facilitate the execution of the classical redshift-volume cosmological test, which can provide a precision measurement of the equation of state of the Universe. This talk reviews the project, summarizes our science goals and presents some early DEIMOS data.
ASSISTANCE TASK USING A MANIPULATOR ROBOT AND USER KINEMATICS FEEDBACK

This work presents the development of an assistance task performed by an anthropomorphic manipulator robot of five degrees of freedom. The task consists in serving a drink to the users by approaching it to their mouths. While serving the drink, the robot tracks the head movements in order to dynamically adjust the end-effector according to the head position. The planning of the task and modeling of the robot were based on dual quaternion algebra. Since the robot is underactuated for this task, a task-priority based control was implemented such that the control of the end-effector position has higher priority than the orientation control. Experiments were performed in order to test the validity of the approach. Keywords— Assistance task, human-robot interaction, dual quaternion algebra, task-priority control, Jacobian-based control
CHEMICAL COMPOSITION AND METABOLIZABLE ENERGY VALUES OF ALTERNATIVE INGREDIENTS FOR BROILERS

An experiment was conducted to determine the chemical composition and apparent metabolizable energy (AME) and AME corrected for nitrogen (AMEn) of three types of cottonseed meal (CM): extruded CM, CM by solvent extraction with husk and CM with 40% crude protein (CP), two varieties of sorghum and hominy feed. AMEn values of CM and sorghum from the existing literature were used to create prediction equations using chemical composition. Male Ross broilers at 14 days of age (n=210) were used in a metabolism assay and housed in metabolism cages in groups of five animals with six replicates per treatment. A reference diet (RD) and six test diets containing the ingredients under evaluation replacing 40% of RD constituted the set of established treatments. The chemical composition of the ingredients was as follows: 92.92, 91.80, 89.08, 86.44, 87.19 and 88.50% for dry matter, 32.96, 35.11, 40.50, 9.83, 8.17 and 10.80% for CP, 17.81, 1.03, 3.59, 2.27, 2.67 and 12.90% for ether extract (EE) and the values of AMEn were 2977, 2793, 2827, 2766, 3117 and 3017 kcal/kg, respectively, for extruded CM, CM with hulls, CM with 40% CP, IPA sorghum, Dow sorghum and hominy feed. The established AMEn equation for CM was -9,158.67 + 1,106.94*CP 12.05*CP*CP 1,866.99*Ash + 100.16*Ash*Ash 834.01*Crude Fiber (CF) + 30.43*CF*CF and for sorghum was 4,365.59 + 175.41*CP 10.35*CP*CP 99.55*EE + 525.34*Ash 85.06*Ash*Ash 1,310.47*CF + 251.61*CF*CF. AMEn values of one sorghum and one CM type did not adjust to the prediction equations established.
Value Addition from Reprocessing of Seismic Data : An Analysis of Some of the Case Histories

Whenever the geological objectives are not met with the available processed data, the interpreters would like to get reprocessed the same data rather than to acquire data a fresh. Since the processing cost and time is much-much less than acquisition cost and time, it is prudent to get reprocessed of seismic data for improvement. A new lead and discovery at different/deeper level in a well provide new opportunity to the interpreter to re-look the data. Looking with another angle may require the re-processing of data with different objective. This is necessitated by the fact that advanced techniques aimed at enhancing the signal-to-noise ratio and frequency of the data available now might not have existed in the industry at that time which is seeing very rapid growth in the techniques in seismic data processing. Sometimes, the data is acquired in different campaigns and this usually results in apparent differences in the quality of the processed output. Integrated interpretation requirements necessitate the use of seismic data of similar quality and therefore the data may require reprocessing of whole data with uniform optimum processing parameters. Reprocessing of seismic data carried out using state-of-the-art processing techniques usually show an overall significant improvement in terms of reflection detail and frequency or in specific zones if the reprocessing effort is focused on specific targets
RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control

We present a system for collision-free control of a robot manipulator that uses only RGB views of the world. Perceptual input of a tabletop scene is provided by multiple images of an RGB camera (without depth) that is either handheld or mounted on the robot end effector. A NeRF-like process is used to reconstruct the 3D geometry of the scene, from which the Euclidean full signed distance function (ESDF) is computed. A model predictive control algorithm is then used to control the manipulator to reach a desired pose while avoiding obstacles in the ESDF. We show results on a real dataset collected and annotated in our lab. Our results are also available at https://ngp-mpc.github. io/.
Research of infrared background suppression method based on anisotropic bilateral filtering

Infrared complex background suppression is an important part of infrared dim target detection, directly affects the target detection probability and false alarm rate of subsequent algorithms. Bilateral filter as a nonlinear smoothing method which considers not only the distance between pixels, but also the gray value similarity between adjacent pixels has a certain edgepreserving effect. However it did not take full account of the characteristics of the edge direction and reserves lots of edge residual. In this paper, an anisotropic bilateral filter which adapts the filter parameters by using the local characteristics of the image and ensures the filter direction along the edge is designed. It will separate the target from background more precisely. The experimental results show the effectiveness of the proposed method.
Automatic Classification of surface ships based on signals from passive underwater sensors

The work in this thesis investigates the possibility to improve the accuracy of a surface ship classification system using mid-level sensor fusion and data from different sensor types. The classifier uses features extracted from passive underwater signatures generated by civilian surface ships to discriminate between the ships volume and type of ship, respectively. Features are extracted separately from each sensor and then fused into one feature vector, discriminating between the ships volume and type of ship is done using an Artificial Neural Network with one hidden layer. The data used in this thesis comes from realworld measurements, and consists of signatures from a broad diversity of ship models, with a total of 117 passages. The mid-level fusion classifier increased the classification performance in comparison to using only the acoustic signatures. With an overall accuracy improvement of +4.2% and +14.0% classifying volume of ship and type of ship, respectively.
EXPANDING ILLUSTRATION DESIGN STUDIO PRACTICE THROUGH CRITICAL REFLECTION

There is no standard model for teaching critical reflection within Illustration Design. Evidence of critical reflection in Illustration Design practice is limited in undergraduate education and rarely occurs within professional practice. Illustration Design education should enable students to become effective and successful professional practitioners. It is a profession that requires high level conceptual and technical skills and is underpinned by innovative thinking and entrepreneurial abilities. A teaching approach that incorporates a formal critical reflection framework will provide students with lifelong skills to practice, critically reflect, analyse, describe and expand the impact of their work beyond obvious applications and industries. This paper will describe and explain a critical reflection teaching and learning framework embedded within the University of South Australia, Visual Communication, Illustration design program that connects Illustration design professional practice with academic design research.
Electricity consumption and economic growth in ASEAN

Article history: Received 28 April 2017 Received in revised form 11 May 2017 Accepted 21 May 2017 Published 30 May 2017 The relationship and causality direction between electricity consumption and economic growth is an important issue in the fields of energy economics and policies towards energy use. Extensive literatures has discussed the issue, but the array of findings provides anything but consensus on either the existence of relations or direction of causality between the variables. This study extends research in this area by studying the long-run and causal relations between economic growth, electricity consumption, labour and capital based on the neo-classical one sector aggregate production technology mode using data of electricity consumption and real GDP for ASEAN from the year 1983 to 2012. The analysis is conducted using advanced panel estimation approaches and found no causality in the short run while in the long-run, the results indicate that there are bidirectional relationship among variables. This study provides supplementary evidences of relationship between electricity consumption and economic growth in ASEAN.
U LYMFOIDNÍCH MALIGNIT DNA MICROARRAYS IN LYMPHOID MALIGNANCIES

Diagnostika hematologick ̆ch malignit je v souãasnosti zaloÏena na morfologick ̆ch kritériích, doplnûn ̆ch o anal ̆zy nûkolika molekulárních markerÛ. Uvnitfi fiady takto definovan ̆ch jednotek pacienti vykazují heterogenní odpovûì na aplikovanou léãbu a odli‰n ̆ klinick ̆ v ̆voj onemocnûní. Vyvstává tedy otázka, co je pfiíãinou tohoto stavu? Selhávají stávající diagnostické metody nebo klasifikaãní systémy hematologick ̆ch malignit? Obecnû lze konstatovat, Ïe zhoubné novotvary pfiedstavují chorobu genomu, jehoÏ patologické alterace (chromozomální aberace nebo genové mutace) vedou k maligní transformaci buÀky a kumulace tûchto zmûn ovlivÀuje v ̆voj nádorového onemocnûní. Relativnû vysok ̆ poãet genÛ s primárnû (onkogeny a supresorové geny), ale zejména se sekundárnû pozmûnûnou expresí je moÏnou pfiíãinou stavu, kdy na základû anal ̆zy jednoho nebo nûkolika z nich nelze vÏdy dosáhnout optimální diagnostické diskriminanty nebo prediktivního faktoru daného onemocnûní. Z tohoto dÛvodu je nadûje vkládána do DNA ãipÛ (DNA microarrays), které pfiedstavují zafiízení schopné ve velmi krátkém ãase paralelnû detekovat a kvantifikovat expresi aÏ desítky tisíc genÛ (stanovit profil genové exprese) a nebo identifikovat variabilitu genetického kódu. DNA ãipové anal ̆zy nám umoÏÀují globální pohled na genovou expresi nádoru a identifikaci molekulárních markerÛ dÛleÏit ̆ch pro diagnostiku, klasifikaci a predikci nádorového onemocnûní, zejména se zfietelem na v ̆voj a efektivní pouÏití cílené terapie (1). V pfiípadû lymfoidních malignit DNA ãipy jiÏ pfiinesly fiadu v ̆znamn ̆ch objevÛ s jednoznaãn ̆m klinick ̆m dopadem. Jejich souhrn pfiiná‰íme v na‰em pfiehledovém ãlánku.
Surgical Management of Intra-Articular Fractures of Upper End of Tibia. -

Intra-articular fractures of the knee adversely affect the knee function if not managed properly. The objective is to achieve a stable, pain free knee joint with minimal effect on the quality of life. We prospectively studied 49 patients (mean age 44 years, range 21-63 years) with displaced tibial plateau fractures treated operatively. Schatzker type 2 fracture was the commonest pattern (38 per cent). 12 patients were treated with percutaneous screw fixation and 37 were treated with open reduction and plate fixation. Various clinical and radiological criteria were used to calculate final outcome at 1 year. Apart from one patient who died, all fractures were united at final follow-up. There were 13 excellent, 18 good, 15 fair and three poor functional results; and 19 excellent, 18 good, 10 fair and two poor radiological results. There was no significant correlation between the final radiographic appearance and clinical outcome. Postoperative complications included infection in 4 patients and lateral peroneal nerve pasly in 2 patients. Old age, severity of fracture, associated injuries and post-operative complications significantly affected the functional outcome despite acceptable radiological results.
Title Towards an intelligent binaural speech enhancement system by integrating meaningful signal extraction

Current speech enhancement applications, such as binaural hearing aids, mainly aim to suppress interference signals and enhance the target signal with preservation of binaural cues. However, in addition to the target signal, human beings are able to pay attention to other important or meaningful sounds (e.g., the call from others) in daily conversation. This attention mechanism to meaningful signals is seldom considered in the state-of-the-art signal processing systems. In this paper, we propose an intelligent binaural speech enhancement model by extracting the meaningful signals as well as the target signal. Specifically, the proposed model consists of two main parallel processes: binaural target signal enhancement and binaural meaningful signal extraction, finally yielding the binaural outputs. Experimental result showed that the proposed system is able to not only suppress interfering noise signals, but also enhance target signal and meaningful signals.
Winning Experiences with or without Failure : A Behavioral perspective

We examine when and how firms explore to generate architectural innovations. Drawing on behavioral perspective literature, we conceptualize two distinct paths of firm performance feedback: persistent winning experiences and winning experiences with failure. We argue that firms whose paths accumulate winning experiences are more likely to pursue architectural innovations than firms whose paths accumulate failures. We argue that persistent winning experiences will bring higher motivation for a firm to generate an architectural innovation than winning experiences with failures. We find support for our hypotheses using data from the global smartphone industry from 2007 to 2018. The findings imply that the differences in paths of firm that have accumulated experiences of winning and failure explain the heterogeneity among firms in generating architectural innovations.
LEBANESE AMERICAN UNIVERSITY Executive Turnover and Firm Performance Scapegoats or Villains ?

We test the relevance of changes in the top management team (TMT) after the appointment of a new CEO due to firm operating performance. Our results suggest an increase in executive turnover during the early years of a CEO’s tenure. We find that executive dismissals occur after poor firm performance the year before. If the firm did not perform well during the past year, the new CEO resorts to evaluating the TMT. As a result, s/he would blame some of the executives leading to their dismissal. We find that firms enjoy an increase in firm performance after executive dismissals. Thus, we conclude that the incumbent executive lacks qualifications and is responsible for poor firm performance prior to his/her dismissal.