Miracle-dz/UniFAR-FTUs huggingface dataset:
RELEVANSI NILAI ATAS INFORMASI AKUNTANSI, STRUKTUR KEPEMILIKAN SAHAM, DAN AFILIASI GROUP BISNIS

Penelitian ini menginvestigasi kegunaan dari informasi akuntansi yang utama, yaitu laba dan nilai buku pada perusahaan publik Indonesia. Hasil penelitian ini menunjukkan bahwa relevansi nilai laba dan nilai buku adalah lebih kecil untuk perusahaan yang bersatus group bisnis dibandingkan dengan perusahaan tunggal. Bukti ini konsisten dengan pandangan bahwa kualitas informasi akuntansi yang disediakan oleh perusahaan-perusahaan kelompok adalah lebih rendah dibandingkan dengan perusahaan tunggal, hal ini dapat disebabkan oleh kurang efektifnya penerapan struktur tata kelola pada kelompok perusahaan di Indonesia. Hasil penelitian ini juga menunjukkan bahwa kepemilikan saham institusional (sebagai proksi untuk efek monitoring) berpengaruh positif pada relevansi nilai informasi akuntansi. Selanjutnya, hasil riset juga menunjukkan bahwa ada pergeseran nilai relevansi dari laba ke nilai buku. Nilai relevansi laba telah menurun. sebaliknya, relevansi nilai dari nilai buku cenderung mengalami kenaikan. Kata kunci: nilai relevansi, struktur kepemilikan, dan afilasi group bisnis.
Modelling techniques for biodiversity and ecosystemmultifunctionality - theoretical development andapplication.

This thesis extends current methods for analysing the biodiversity and ecosystem function relationship, focusing on complexities arising from examining species rich ecosystems and examining multiple ecosystem functions. I developed a parsimonious model for assessing diversity effects on ecosystem function in species rich ecosystems, by including random effects in current univariate analysis methods. Using multivariate techniques, I created a method for analysing multiple ecosystem functions simultaneously. The work presented in this thesis allows for a greater ability to model and understand the biodiversity and ecosystem function relationship. v
An introduction to network inference and mining

This vignette needs no specific prerequisites : it deals with elementary concepts related to graphs or networks. It has been created more specifically for application in biology but can be used by anybody interested by this topic, though the second part, about network inference, is more specific to biostatistics. Also, this vignette is written in English but the most important words are translated in French and formatted this way : en français !
Long-term Marine Monitoring Program final report : NA13NOS4820010, award period October 1, 2013- September 30, 2016

Despite multiple transfers of personnel within the monitoring program throughout this award period, the marine monitoring team (MMT) continues to collect ecological data for the CNMI. During this reporting period the MMT managed to conduct 59 biological surveys at 52 long-term monitoring sites across Saipan, Tinian, Aguigan, and Rota (Table1). Standardized surveys collect data on coral, fish, algae, non-coral macroinvertebrate, and seagrass assemblages across the various marine habitats and management areas of the CNMI, including marine protected areas, species reserves, and priority watersheds. In addition to the standard long-term monitoring efforts, the MMT has conducted over 100 additional surveys in support of related projects including a study on coral reef resilience, , and participated in three expeditions to the remote northern islands. Finally, with the increase of development in the CNMI, the data collected by this program is an essential baseline to monitor the effects these activities have on our marine resources.
Intentionally Introduced and Transferred Fishes in China's Inland Waters

Investigations showed that 72 exotic species and nearly 100 native species of fishes were intentionally introduced and cultured in the inland waters of China. The most influential species were Chinese carps and tilapias, which constitute most of the production in China’s freshwaters. The main purposes of introduction involved aquaculture, sale, ornament, resources conservation and biological control. Impacts included ecological deterioration and economic loss. To solve these problems, cooperation of legislation, administration, education and technical assistance are the top priority.
Seismic facies analysis using machine learning

Seismic interpretations are, by definition, subjective and often require significant time and expertise from the interpreter. We are convinced that machine-learning techniques can help address these problems by performing seismic facies analyses in a rigorous, repeatable way. For this purpose, we use state-of-the-art 3D broadband seismic reflection data of the northern North Sea. Our workflow includes five basic steps. First, we extract seismic attributes to highlight features in the data. Second, we perform a manual seismic facies classification on 10,000 examples. Third, we use some of these examples to train a range of models to predict seismic facies. Fourth, we analyze the performance of these models on the remaining examples. Fifth, we select the “best” model (i.e., highest accuracy) and apply it to a seismic section. As such, we highlight that machine-learning techniques can increase the efficiency of seismic facies analyses.
On the differences between cognitive and noncognitive systems

Recent "connectionist" models provide a new explanatory alternative to the digital computer as a model for brain function. Evidence from our EEG research on the olfactory bulb suggests that the brain may indeed use computational mechanisms like those found in connectionist models. In the present paper we discuss our data and develop a model to describe the neural dynamics responsible for odor recognition and discrimination. The results indicate the existence of sensoryand motor-specific information in the spatial dimension of EEG activity and call for new physiological metaphors and techniques of analysis. Special emphasis is placed in our model on chaotic neural activity. We hypothesize that chaotic behavior serves as the essential ground state for the neural perceptual apparatus, and we propose a mechanism for acquiring new forms of patterned activity corresponding to new learned odors. Finally, some of the implications of our neural model for behavioral theories are briefly discussed. Our research, in concert with the connectionist work, encourages a reevaluation of explanatory models that are based only on the digital computer metaphor.
Evaluation of the Security of RC6 against the ^2-Attack

SUMMARY Knudsen and Meier applied the χ 2 -attack to RC6. The χ 2 -attack recovers a key by using high correlations measured by χ 2 -value. Up to the present, the success probability of any χ 2 -attack has not been evaluated theoretically without using experimental results. In this paper, we discuss the success probability of χ 2 -attack and give the theorem that evaluates the success probability without using any experimental result, for the ﬁrst time. We make sure the accuracy of our theorem by demonstrating it on both 4-round RC6 without post-whitening and 4-round RC6-8. We also evaluate the security of RC6 theoretically and show that a variant of the χ 2 -attack is faster than an exhaustive key search for the 192-bit-key and 256-bit-key RC6 with up to 16 rounds. As a result, we succeed in answering such an open question that a variant of the χ 2 -attack can be used to attack RC6 with 16 or more rounds.
Critical Assessment of Geoengineering Strategies using ResponseTheory

Abstract. We investigate in an intermediate-complexity climate model (I) the applicability of linear response theory to assessing a geoengineering method, and (II) the success of the considered method. The geoengineering problem is framed here as a special optimal control problem, which leads mathematically to the following inverse problem. A given rise in carbon dioxide concentration [CO2] would result in a global climate change with respect to an appropriate ensemble average of the surface air temperature . We are looking for a suitable modulation of solar forcing which can cancel out the said global change, or modulate it in some other desired fashion. It is rather straightforward to predict this solar forcing, considering an infinite time period, by linear response theory, and we will spell out an iterative procedure suitable for numerical implementation that applies to finite time periods too. Regarding (I), we find that under geoengineering, i.e. the combined greenhouse and solar forcing, the actual response Δ asymptotically is not zero, indicating that the linear susceptibility is not determined correctly. This is due to a significant quadratic nonlinearity of the response under system identification achieved by a forced experiment. This nonlinear contribution can in fact be easily removed, which results in much better estimates of the linear susceptibility, and, in turn, in a five-fold reduction in Δ under geoengineering. Regarding (II), however, we diagnose this geoengineering method to result in a considerable spatial variation of the surface temperature anomaly, reaching more than 2 [K] at polar/high latitude regions upon doubling the [CO2] concentration, even in the ideal case when the geoengineering method was successful in canceling out the response in the global mean. In the same time, a new climate is realised also in terms of e.g. an up to 4 [K] cooler tropopause or drier/disrupted Tropics, relative to unforced conditions.
SYSADMIN Theia : Visual Signatures for Problem Diagnosis in Large Hadoop Clusters

Rajeev Gandhi is a Senior Systems Scientist at Carnegie Mellon University. His research focuses on problem diagnosis in large-scale distributed systems and video streaming. Rajeev was previously involved in the H.264 video-compression standardization and received a Motorola Outstanding Performance award in 2002 in recognition of his contributions to global standardization. In 2000, Rajeev received his PhD from the University of California, Santa Barbara. rgandhi@ece.cmu. edu Priya Narasimhan is an Associate Professor at Carnegie Mellon University. Her research interests lie in the fields of dependable distributed systems, embedded systems, mobile systems, and sports technology. Priya is also the CEO and Founder of YinzCam, Inc., a Carnegie Mellon spin-off company focused on mobile live streaming and scalable video technologies to provide sports fans with the ultimate in-stadium mobile experience at NHL/NFL/NBA games. priya@cs.cmu. edu
Organizational citizenship behavior: A step towards effective employee engagement in the banking sector

urpose. Organizational citizenship behaviour is a concept used to describe all the productive and constructive acts and attitudes of workers that are not part of the definition of their formal work. Employees do something out of their own free will that respects their friends, which helps the companyas a whole. This paper states that how effectively monitoring the various dimensions of organizational citizenship behaviour can inculcate an effective employee engagement in the organization. Study design. Exploratory research has been conducted comprising of 84 respondents from public and private sector banks in Kolkata. Findings. The findings revealed that organizational citizenship behaviour is having a significant relationship with employee engagement. The dimension conscientiousness which has more influence on employee engagement and courtesy has least influence on employee engagement.There exists no significant difference of organizational citizenship behaviour among the employees with respect to ownership of the bank, gender of employees, experience and with respect to various dimensions of organizational citizenship behaviour. Implications for practice. This study focusses thatif the organization follow a proactive strategy for inculcating organizational citizenship behaviour i.e. stimulus-organism-response behaviour model which in turn will enhance employee engagement in the organization. Originality. The literature review reveals that no study has been conducted based on this area in banking sector in India.
Bulletin of Electrical Engineering and Informatics

Sambugari Anil Kumar, M. Siva Sathya Narayana Varma, K. Jithendra Gowd Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University, Ananthapuramu, India Department of Electrical and Electronics Engineering, G. Pulla Reddy Engineering College (Autonomous), Kurnool, India Department of Electrical and Electronics Engineering, JNTUA College of Engineering Ananthapuramu, Ananthapuramu, India
Collusion Detection in Public Procurement with Limited Information Bedri

We design a method to identify and test for bid rigging in procurement auctions with limited information. Public procurement data sets usually lack detailed data that are needed to implement existing methods. We develop a varying-coefficient model to estimate the auction-specific coefficient of competition and use the coefficient as the collusion measure. The method can be implemented to limited data sets using standard econometric tools and software. We implement the methodology to a unique data set about all Turkish public procurement auctions in years 20052012, numbering 565,298. We find that collusion significantly increases procurement costs and decreases procurement efficiency in Turkey. JEL Codes: C36; D44; H57
Echo Chamber or Public Sphere? Predicting Political Orientation and Measuring Political Homophily in Twitter Using Big Data

This paper investigates political homophily on Twitter. Using a combination of machine learning and social network analysis we classify users as Democrats or as Republicans based on the political content shared. We then investigate political homophily both in the network of reciprocated and nonreciprocated ties. We find that structures of political homophily differ strongly between Democrats and Republicans. In general, Democrats exhibit higher levels of political homophily. But Republicans who follow official Republican accounts exhibit higher levels of homophily than Democrats. In addition, levels of homophily are higher in the network of reciprocated followers than in the nonreciprocated network. We suggest that research on political homophily on the Internet should take the political culture and practices of users seriously.
Chapter 2 Active tectonics of Myanmar and the Andaman Sea

Burma (Myanmar) is situated along the obliquely colliding eastern margin of the Indian Plate (Fig. 2.1). It connects the ongoing India–Asia collision along the Himalayan Range in the north to the newly formed oceanic crust in the Andaman Sea in the south, via the active plate margin along the dextral Sagaing Fault and subduction along the Burma Seismic Zone. The active tectonics of Myanmar are controlled by the combination of: (1) the continuing northwards penetration of India into Asia, ongoing since the initial collision and closing of the Tethyan ocean c. 50 Ma; (2) the active dextral shear along the right-lateral Sagaing strike-slip fault, and region to the west across the Indo-Burma Ranges or Indo-Myanmar Ranges (IMR); (3) the active eastwards-dipping Burma Seismic Zone that indicates subduction of a downgoing plate to depths of >150 km; (4) the clockwise rotation around the Eastern Himalayan Syntaxis and a series of arcuate strike-slip faults (e.g. Nanting and Wanding faults) in the northern Shan Plateau; and (5) the active extensional and strike-slip tectonics in the back-arc Andaman Sea. In this paper we review the active tectonics of this region and discuss the interactions and driving mechanisms of deformation in and around Myanmar. Fig. 2.1. Seismotectonic map of Myanmar (Burma) and surroundings. Faults are from Taylor & Yin (2009) with minor additions and adjustments. GPS vectors show velocities relative to a fixed India from Vernant et al. (2014), Gahalaut et al. (2013), Maurin et al. (2010) and Gan et al. (2007). Coloured circles indicate M w > 5 earthquakes from the EHB catalogue. Grey events are listed for depths 100 km. The band of yellow and red earthquakes beneath the Indo-Burman Ranges represents the Burma Seismic Zone. The dashed black line …
Speaker recognition by combining MFCC and phase information

In conventional speaker recognition method based on MFCC, the phase information has been ignored. In this paper, we proposed a method that integrates the phase information on a speaker recognition method. The speaker identification experiments were performed using NTT database which consists of sentences uttered at normal speed mode by 35 Japanese speakers (22 males and 13 females) on five sessions over ten months. Each speaker uttered only 5 training utterances (about 20 seconds in total). Using the phaseinformation, the speaker recognition error rate was reduced by about 44%. Index Terms: speaker identification, MFCC, phase information, GMM, combination method
Self-calibrating Online Wearout Detection

Technology scaling, characterized by decreasing feature size, thinning gate oxide, and non-ideal voltage scaling, will become a major hindrance to microprocessor reliability in future technology generations. Physical analysis of device failure mechanisms has shown that most wearout mechanisms projected to plague future technology generations are progressive, meaning that the circuit-level effects of wearout develop and intensify with age over the lifetime of the chip. This work leverages the progression of wearout over time in order to present a low-cost hardware structure that identifies increasing propagation delay, which is symptomatic of many forms of wearout, to accurately forecast the failure of microarchitectural structures. To motivate the use of this predictive technique, an HSPICE analysis of the effects of one particular failure mechanism, gate oxide breakdown, on gates from a standard cell library characterized for a 90 nm process is presented. This gate-level analysis is then used to demonstrate the aggregate change in output delay of high-level structures within a synthesized Verilog model of an embedded microprocessor core. Leveraging this analysis, a self- calibrating hardware structure for conducting statistical analysis of output delay is presented and its efficacy in predicting the failure of a variety of structures within the microprocessor core is evaluated.
PolyScope: Multi-Policy Access Control Analysis to Compute Authorized Attack Operations in Android Systems

Android’s filesystem access control provides a foundation for system integrity. It combines mandatory (e.g., SEAndroid) and discretionary (e.g., Unix permissions) access control, protecting both the Android platform from Android/OEM services and Android/OEM services from third-party applications. However, OEMs often introduce vulnerabilities when they add market-differentiating features and fail to correctly reconfigure this complex combination of policies. In this paper, we propose the PolyScope tool to triage Android systems for vulnerabilities using their filesystem access control policies by: (1) identifying the resources that subjects are authorized to use that may be modified by their adversaries, both with and without policy manipulations, and (2) determining the attack operations on those resources that are actually available to adversaries to reveal the specific cases that need vulnerability testing. A key insight is that adversaries may exploit discretionary elements in Android access control to expand the permissions available to themselves and/or victims to launch attack operations, which we call permission expansion. We apply PolyScope to five Google and five OEM Android releases and find that permission expansion increases the privilege available to launch attacks, sometimes by more than 10x, but a significant fraction (about 15-20%) cannot be converted into attack operations due to other system configurations. Based on this analysis, we describe two previously unknown vulnerabilities and show how PolyScope helps OEMs triage the complex combination of access control policies down to attack operations worthy of testing.
The effect of spatiality on multiplex networks

– Many multiplex networks are embedded in space, with links more likely to exist be-tween nearby nodes than distant nodes. For example, interdependent infrastructure networks can be represented as multiplex networks, where each layer has links among nearby nodes. Here, we model the eﬀect of spatiality on the robustness of a multiplex network embedded in 2-dimensional space, where links in each layer are of variable but constrained length. Based on empirical measurements of real-world networks, we adopt exponentially distributed link lengths with characteristic length ζ . By changing ζ , we modulate the strength of the spatial embedding. When ζ → ∞ , all link lengths are equally likely, and the spatiality does not aﬀect the topology. However, when ζ → 0 only short links are allowed, and the topology is overwhelmingly determined by the spatial embedding. We ﬁnd that, though longer links strengthen a single-layer network, they make a multi-layer network more vulnerable. We further ﬁnd that when ζ is longer than a certain critical value, ζ c , abrupt, discontinuous transitions take place, while for ζ < ζ c the transition is continuous, indicating that the risk of abrupt collapse can be eliminated if the typical link length is shorter than ζ c .
Customized proximal point algorithms for linearly constrained convex minimization and saddle-point problems : a uniform approach

This paper takes a uniform look at the customized applications of proximal point algorithm (PPA) to two classes of problems: the linearly constrained convex minimization problem with a generic or separable objective function and a saddle-point problem. We model these two classes of problems uniformly by a mixed variational inequality, and show how PPA with customized proximal parameters can yield favorable algorithms, which are able to exploit the structure of the models fully. Our customized PPA revisit turns out to be a uniform approach in designing a number of efficient algorithms, which are competitive with, or even more efficient than some benchmark methods in the existing literature such as the augmented Lagrangian method, the alternating direction method, the split inexact Uzawa method, and a class of primal-dual methods, etc. From the PPA perspective, the global convergence and the O(1/t) convergence rate for this series of algorithms are established in a uniform way.
AUTOCHTHONOUS PEARL MILLET ECOTYPE (Pennisetum glaucum L. R.BR.) RESPONSE TO DIFFERENT SOWING DATES IN TUNISIA

Pearl millet [Pennisetum glaucum (L.)R.Br. ] is a potential crop for the Great plains in Tunisia, but there are no any studies on production practices. The research objective was to determine the optimal planting time for pearl millet in Mediterranean environment. Studies were conducted in Kairouan (centre of Tunisia) using an autochthonous pearl millet ecotype and seven sowing dates. The experimental design was a complete randomized block design with four replications. Plant morphological variables as well as yield characteristics were measured and related to sowing date and air heat units. Optimal planting times were determined by relating yield components with calendar date and with GDD (growth day degree). Grain panicle yield related to air heat units was effective in determining the optimal planting time. Optimal pearl millet planting times were between 1549 and 1441 GDD; base 10°C; or between 296 and 563 air heat units after 1 April for Kairouan. Pearl millet had large planting time window, allowing flexibility in planting time. Very early sowing before early May did not generate any advantages for earliness and yield components. Most suitable period for pearl millet sowing is between first May and early June for the Mediterranean region which offers a long and suitable environment for both main and double crop production.