Miracle-dz/UniFAR-FTUs huggingface dataset:
Manuscripts, Status, and Power: The Study of Lontara Bone in the Seventeenth Century

The purpose of this study is to know what interests so that this text made and to what extent the manuscripts can elevate the status of Arung Palakka. These two main points are the focus of this paper. The document in question is a manuscript found in the palace of the Kingdom of Bone in Passempe in 1859. The contents of the script tell the history of the Kingdom of Bone since its establishment until the reign of Arung Palakka, the legendary figure of the Kingdom of Bone. The type of research used is historical research with descriptive method. Primary data used in the form of manuscripts found in Bone districts. As for the figure who was held responsible for the creation of this script, C.C. Macknight has read this text. Then from the results of the study of the book obtained that when Arung Palakka inaugurated as king in the Kingdom of Bone in 1672, appears rejection of some of the high nobility of the Kingdom of Bone. In fact, there is no precise mechanism of succession in the Kingdom of Bone. Men, women, old, young, even a baby had been king in the Kingdom of Bone. If it considered bloody pure noble, then that person deemed entitled to be king. It is a problem for Arung Palakka. A figure who is supposed to have an enormous share in liberating the Kingdom of Bone from the kingdom of Gowa Kingdom, but he found not to have the blood of Tomanurung nobility, so it deemed to be unworthy. Also, La Pakokoe, the son of the king of Bone Kingdom replaced by Arung Palakka, regarding custom and culture, is worthier of occupying that position. Due to disagreement over the appointment, La Pakokoe with a group of high nobles of the Kingdom of Bone as well as a group of nobles from several kingdoms in this region rejected. Though La Pakokoe it is the sister-in-law of Arung Palakka itself. To overcome the possible problems about his appointment as king, and the impact that may arise in the future, a text made to legitimize the power of Arung Palakka, not only for himself but also for his descendants.
Regression based duality approach to optimal control with application to hydro electricity storage

In this paper we consider the problem of optimal control of stochastic processes. We employ the dual martingale method brought forward in [Brown, Smith, and Sun, 2010]. The martingale constituting the solution of the dual problem is determined by linear regression within a Monte-Carlo approach. We apply the solution algorithm to a model of a hydro electricity storage and production system coupled with a model of the electricity wholesale market.
Environmental Factors Influencing Nest-Site Preference in White-Browed Sparrow-Weavers (Plocepasser mahali)

Group-living White-browed Sparrow-Weavers (Plocepasser mahali) build their roost and breeding nests on one side of nest trees. The placement of nests correlates with the direction of the local prevailing wind. Birds gain a 35% increase in the useful life of a nest built on the leeward side of a nest tree, compared with a nest built on the windward side. Solar radiation, humidity, and thermal effects appear unimportant in influencing nest placement. Foliage density and other nearby cover does not affect nest placement. Hence, White-browed Sparrow-Weaver nest placement appears to be an adaptation for having large numbers of intact nests available for breeding and for roosting throughout the year. Key words; White-browed SparrowWeaver; Plocepasser; nesting; environmental physiology; heat loading; wind.
Fibonacci sequences quasiperiodic A5B6C7 ferroelectric based photonic crystal: FDTD analysis

ABSTRACT In this study, we present an investigation of the optical properties and band structures for the conventional and Fibonacci photonic crystals (PCs) based on some A5B6C7 ferroelectrics (SbSBr and BiTeCl). Here, we use one dimensional SbSBr and BiTeCl based layers in air background. We have theoretically calculated the photonic band structure and transmission spectra of SbSBr and BiTeCl based PC superlattices. The position of minima in the transmission spectrum correlates with the gaps obtained in the calculation. The intensity of the transmission depths is more intense in the case of higher refractive index contrast between the layers. In our simulation, we employed the finite-difference time domain technique and the plane wave expansion method, which implies the solution of Maxwell equations with centered finite-difference expressions for the space and time derivatives.
A systematic review of current understandings of employability

A theoretical framework is essential for the effective evaluation of employability. However, there are a wide range of definitions of employability coexisting in current literature. A review into existing ways in which employability has been conceptualised is needed to inform a better understanding of the nature of contributions made by various employability development opportunities, and appropriate assessment of these contributions. A systematic review is presented, assessing the similarities and differences between the components of employability conceptualisations, focusing on employability at an individual level. Relevant publications were identified through a sensitive search strategy of eight electronic bibliographic databases from 1960 to 2014. Data were extracted from 16 eligible manuscripts. Capital, career management and contextual dimensions were identified as unifying themes in these components. Findings indicate that success in developing employability needs to be contextualised within a conceptualisation of employability as a multifaceted construct.
Materials perspective on Casimir and van der Waals interactions

Interactions induced by electromagnetic fluctuations, such as van der Waals and Casimir forces, are of universal nature present at any length scale between any types of systems with finite dimensions. Such interactions are important not only for the fundamental science of materials behavior, but also for the design and improvement of micro- and nano-structured devices. In the past decade, many new materials have become available, which has stimulated the need of understanding their dispersive interactions. The field of van der Waals and Casimir forces has experienced an impetus in terms of developing novel theoretical and computational methods to provide new insights in related phenomena. The understanding of such forces has far reaching consequences as it bridges concepts in materials, atomic and molecular physics, condensed matter physics, high energy physics, chemistry and biology. In this review, we summarize major breakthroughs and emphasize the common origin of van der Waals and Casimir interactions. We examine progress related to novel ab initio modeling approaches and their application in various systems, interactions in materials with Dirac-like spectra, force manipulations through nontrivial boundary conditions, and applications of van der Waals forces in organic and biological matter. The outlook of the review is to give the scientific community a materials perspective of van der Waals and Casimir phenomena and stimulate the development of experimental techniques and applications.
Ease.ml in Action: Towards Multi-tenant Declarative Learning Services

We demonstrate ease.ml, a multi-tenant machine learning service we host at ETH Zurich for various research groups. Unlike existing machine learning services, ease.ml presents a novel architecture that supports multi-tenant, cost-aware model selection that optimizes for minimizing total regrets of all users. Moreover, it provides a novel user interface that enables declarative machine learning at a higher level: Users only need to specify the input/output schemata of their learning tasks and ease.ml can handle the rest. In this demonstration, we present the design principles of ease.ml, highlight the implementation of its key components, and showcase how ease.ml can help ease machine learning tasks that often perplex even experienced users.
MicroRNA in follicular fluid : new molecular markers of oocyte quality in cancer patients

Objective: to investigate the expression profile of microRNA in cancer patients, before radio/ chemiotherapy, compared with age-matched healthy patients. Patient(s): patients with malignant disease, younger than 35 years, with a good ovarian reserve and who didn’t receive any prior treatment within comparative studies with healthy, age-matched patients whose primary infertility is due to a male factor. Main Outcome Measure(s): fast real time PCR system to investigate the expression miRNA profiles. 2-CT method to calculate relative gene expression levels between the two groups of patients. Bioinformatic tools for miRNA target prediction and pathway analysis. Results: our ongoing research project aims to identify highly represented miRNA in follicular fluid of cancer patients compared with healthy group. Our results will improve knowledge of the different signature which have a strong effect on reproductive health.
Inverter Circuits Based on Low-Temperature Solution-Processed ZnO Nanoparticle Thin-Film Transistors

An enhancement-load inverter circuit is presented, which is based on ZnO nanoparticles as active material. Poly(4-vinylphenol) is used as a polymeric gate dielectric layer, so it was possible to perform the integration process with a maximum temperature of 200◦C. Aluminum and gold gate electrodes were investigated for individual transistors. In both cases the transistors exhibited a field-effect mobility of 2 · 10 cm/(Vs) and the transfer characteristics were dominated by hysteresis, which is presumably related to charge trapping in the gate dielectric layer. The thin-film transistors with aluminum gate electrodes showed a significantly better performance in the transistor off-state. Therefore, the Al-gated transistors were utilized for the inverter devices. The maximum peak gain and static power dissipation were 6V/V and 600 nW, respectively. These values are reasonable for nanoparticle based devices.
Planning the Unplanned Experiment: Towards Assessing the Efficacy of Standards for Safety-Critical Software

While software in industries such as aviation has a good safety record, little is known about whether standards for software in other safety-critical applications “work” — or even what that means. Safe use of software in safety-critical applications requires well-founded means of determining whether the software is fit for such use. It is often implicitly argued that software is fit for safety-critical use because it conforms to an appropriate standard. Without knowing whether a standard “works,” such reliance is an experiment and without carefully collecting assessment data, that experiment is unplanned. To help “plan” the experiment, we organized a workshop to develop practical ideas for assessing software safety standards. In this paper, we relate and elaborate on our workshop discussion, which revealed subtle, but important, study design considerations and practical barriers to collecting appropriate historical data and recruiting appropriate experimental subjects. We discuss assessing standards as written and as applied, several candidate definitions for what it means for a standard to “work,” and key assessment strategies and study techniques. Finally, we conclude with a discussion of the kinds of research that will be required and how academia, industry and regulators might collaborate to overcome these noted barriers.
NoMoAds: Effective and Efficient Cross-App Mobile Ad-Blocking

Abstract Although advertising is a popular strategy for mobile app monetization, it is often desirable to block ads in order to improve usability, performance, privacy, and security. In this paper, we propose NoMoAds to block ads served by any app on a mobile device. NoMoAds leverages the network interface as a universal vantage point: it can intercept, inspect, and block outgoing packets from all apps on a mobile device. NoMoAds extracts features from packet headers and/or payload to train machine learning classifiers for detecting ad requests. To evaluate NoMoAds, we collect and label a new dataset using both EasyList and manually created rules. We show that NoMoAds is effective: it achieves an F-score of up to 97.8% and performs well when deployed in the wild. Furthermore, NoMoAds is able to detect mobile ads that are missed by EasyList (more than one-third of ads in our dataset). We also show that NoMoAds is efficient: it performs ad classification on a per-packet basis in real-time. To the best of our knowledge, NoMoAds is the first mobile ad-blocker to effectively and efficiently block ads served across all apps using a machine learning approach.
MULTIVARIATE CORRELATION ANALYSIS FOR DOS ATTACK DETECTION USING SUPPORT VECTOR

Interconnected systems, like internet servers, info servers, cloud computing servers etc, are currently below threads from network attackers. During this paper, tend to present a DOS attack detection system that uses variable Correlation Analysis (MCA) for accurate network traffic characterization by extracting the geometrical correlations between network traffic options. MCA- based DOS attack detection system employs the principle of anomaly-based detection in attack recognition. This makes our answer capable of detective work famous and unknown DOS attacks effectively by learning the patterns of legitimate network traffic solely. Moreover, a triangle-area-based technique is planned to boost and to hurry up the method of MCA. The effectiveness of planned detection system is evaluated victimization KDD Cup ninety nine dataset, and therefore the influences of each non- normalized knowledge and normalized knowledge on the performance of the planned detection system are examined. The results show that system outperforms 2 different antecedently developed progressive approaches in terms of detection accuracy. Support Vector Machines (SVM) could be a powerful, progressive algorithmic program with robust theoretical foundations. SVM cut back the false positive rate. Experimental results show that SVMs bring home the considerably higher search accuracy.
Disordered Eating in Female Collegiate Athletes: Investigating the Relationships Among Coaching and Parenting Styles, Psychological Needs, and Self-Determined Motivation

Female collegiate athletes are at significantly greater risk than their non-athlete peers for developing eating disorders. One plausible explanation for this increased risk is offered by SelfDetermination Theory (SDT), according to which athletes who perceive themselves to be experiencing high levels of autonomy, competency, and relatedness will experience greater selfdetermined motivation (SDM) and ultimately less disordered eating behaviors (DE). The present study employed a combined survey-experimental design through an online questionnaire to investigate mediational relationships among coaching and parenting styles, psychological need satisfaction (PNS), SDM, and DE, as well as the causal impact of PNS on athletes’ SDM and DE. Participants were varsity female athletes (N = 113) at a Division III liberal arts college in the Mid-Atlantic United States. Mediational analyses revealed a significant indirect effect of coaching style on SDM through psychological need satisfaction, as well as significant total and direct effects of parenting style on SDM. Results from a factorial ANOVA indicated a significant effect of direction of psychological need satisfaction on SDM. Although no significant findings were evident for DE, the present study offers empirical support for the associations among coaching and parenting styles, PNS, and SDM, and suggests the implementation of longitudinal designs to more accurately assess the relationships among those variables and DE.
Cyberbomb

Recent research has shown that ostracism is distressful regardless of mitigating circumstances, providing evidence that humans are hard-wired to be hypervigilant to ostracism cues. Arguing that it is also highly adaptive to avoid being in a situation that signals a threat to survival we reasoned that the immediate distress to ostracism would be mitigated in a game of bomb-toss (Cyberbomb) compared to a game of ball-toss (Cyberball). Results showed that such a symbolic threat to survival is able to reduce the immediate distress caused by ostracism (Study 1 and Study 2), and––when the negative consequences of not surviving are highlighted––still powerful enough to induce aggression to fellow game players (Study 2). Taken together the studies speak to the often assumed but relatively untested relation between exclusion and survival that has been proposed in theories on belonging, exclusion and ostracism.
Toward a Framework for Highly Automated Vehicle Safety Validation

Validating the safety of Highly Automated Vehicles (HAVs) is a significant autonomy challenge. HAV safety validation strategies based solely on brute force on-road testing campaigns are unlikely to be viable. While simulations and exercising edge case scenarios can help reduce validation cost, those techniques alone are unlikely to provide a sufficient level of assurance for full-scale deployment without adopting a more nuanced view of validation data collection and safety analysis. Validation approaches can be improved by using higher fidelity testing to explicitly validate the assumptions and simplifications of lower fidelity testing rather than just obtaining sampled replication of lower fidelity results. Disentangling multiple testing goals can help by separating validation processes for requirements, environmental model sufficiency, autonomy correctness, autonomy robustness, and test scenario sufficiency. For autonomy approaches with implicit designs and requirements, such as machine learning training data sets, establishing observability points in the architecture can help ensure that vehicles pass the right tests for the right reason. These principles could improve both efficiency and effectiveness for demonstrating HAV safety as part of a phased validation plan that includes both a “driver test” and lifecycle monitoring as well as explicitly managing validation uncertainty.
GPU-based Adaptive Octree Construction Algorithms

With rapid improvements in the performance and programmability, Graphics Processing Units (GPUs) have fostered considerable interest in substantially reducing the running time of compute intensive problems, many of which work on fundamental octree based clustering. Parallelizing the construction of octrees is thus of immense importance with respect to its applicability. This paper presents two different ways for constructing octrees on GPUs and reports average speed-ups of 100 than their CPU counterparts. We evaluate our algorithms qualitatively and quantitatively and finally use them in a compute-intensive problem of finding radiosity based Global Illumination solution for point models using the Fast Multipole Method as a proof of its correctness and applicability.
Rapid Digital Game Creation for Learning Object-Oriented Concepts

A large body of research from multiple fields demonstrates the power of digital games in learning. This article is about the learning that occurs from making games, rather than from playing games. In this paper, we describe the use of Rapid Digital Game Creation (RDGC) for learning and teaching Object-Oriented (O-O) concepts. RDGC involves the rapid building of digital games with high-level software that requires little or no programming knowledge. We examine how RDGC supports the understanding of various O-O concepts. Using a theoretical framework of constructionism, we discuss pedagogical guidelines for RDGC-based learning. We suggest that RDGC is a useful pedagogic tool that complements formal programming languages and can help flatten the steep learning curve needed to learn O-O computer programming (or OOP).
Single Document Automatic Text Summarization using Term Frequency-Inverse Document Frequency (TF-IDF)

The increasing availability of online information has triggered an intensive research in the area of automatic text summarization within the Natural Language Processing (NLP). Text summarization reduces the text by removing the less useful information which helps the reader to find the required information quickly. There are many kinds of algorithms that can be used to summarize the text. One of them is TF-IDF (TermFrequency-Inverse Document Frequency). This research aimed to produce an automatic text summarizer implemented with TF-IDF algorithm and to compare it with other various online source of automatic text summarizer. To evaluate the summary produced from each summarizer, The F-Measure as the standard comparison value had been used. The result of this research produces 67% of accuracy with three data samples which are higher compared to the other online summarizers.
Blocker-Tolerant and High-Sensitivity Correlation Digitizer for Radar and Coherent Receiver Applications

In this paper, a coherent subsampling digitizer for pulsed Doppler radar systems is proposed. Prior to transmission, the radar system modulates the RF pulse with a known pseudorandom binary phase shift keying (BPSK) sequence. Upon reception, the radar digitizer uses a programmable sample-andhold circuit to multiply the received waveform by a properly time-delayed version of the known a priori BPSK sequence. This operation demodulates the desired echo signal while suppressing the spectrum of all in-band noncorrelated interferers, making them appear as noise in the frequency domain. The resulting demodulated narrowband Doppler waveform is then subsampled at the IF frequency by a delta–sigma modulator. Because the digitization bandwidth within the delta–sigma feedback loop is much less than the input bandwidth to the digitizer, the thermal noise outside of the Doppler bandwidth is effectively filtered prior to quantization, providing an increase in signal-to-noise ratio (SNR) at the digitizer’s output compared with the input SNR. In this demonstration, a delta–sigma correlation digitizer is fabricated in a 0.18-μm CMOS technology. The digitizer has a power consumption of 1.12 mW with an IIP3 of 7.5 dBm. The digitizer is able to recover Doppler tones in the presence of blockers up to 40 dBm greater than the Doppler tone.
Don't Hate the Player, Hate the Game: The Racialization of Labor in World of Warcraft

This article examines the racialization of informational labor in machinima about Chinese player workers in the massively multiplayer online role playing game World of Warcraft. Such fan-produced video content extends the representational space of the game and produces overtly racist narrative space to attach to a narrative that, while carefully avoiding explicit references to racism or racial conflict in our world, is premised upon a racial war in an imaginary world—the World of Azeroth. This profiling activity is part of a larger biometric turn initiated by digital culture's informationalization of the body and illustrates the problematics of informationalized capitalism. If late capitalism is characterized by the requirement for subjects to be possessive individuals, to make claims to citizenship based on ownership of property, then player workers are unnatural subjects in that they are unable to obtain avatarial self-possession. The painful paradox of this dynamic lies in the ways that it mirrors the dispossession of information workers in the Fourth Worlds engendered by ongoing processes of globalization. As long as Asian “farmers” are figured as unwanted guest workers within the culture of MMOs, user-produced extensions of MMO-space like machinima will most likely continue to depict Asian culture as threatening to the beauty and desirability of shared virtual space in the World of Warcraft.