Miracle-dz/UniFAR-FTUs huggingface dataset:
THE INFLUENCE OF AUDIT COMMITTEE QUALITY, BOARD OF COMMISSIONER’S QUALITY, INSTITUTIONAL OWNERSHIPS, MANAGEMENT OWNERSHIPS TOWARD EARNINGS MANAGEMENT PRACTICE AND FINANCIAL PERFORMANCE AND THE IMPLICATION TOWARD THE FIRM VALUE (Survey on The Go-Public Companies Listed in The Indonesian Stock Exchang

Financial report is an important factor for inventors to make investment decision in capital market. The. Publicity of financial report which has relevant information for decision making will be reacted by market player. Many investors and other users of financial report do not pay attention to the process of publishing financial report, so it pushes the emergence of dysfunctional behaviours, like earnings management practices.The purpose of this research is to study and to find out empirically the research’s evidence about the influence of audit committee and board of commissioner’s quality, institution and management ownerships toward earnings management practice and financial performance and their implication toward firm value. The population of this research is companies listed in Indonesian Stock Exchenge during the period 2007 – 2010 in amount of 105 companies. Based on the criteria, there are only 60 companies chosen as sample. The Method of analysis used in this research is path analysis, with the following hypotheses: (1) The Audit committee and the board of commissioner’s quality, institution and management ownership have influence on the earnings management practice. (2) The Audit committee and the board of commissioner’s quality, institution and management ownership, the earnings management practice have influence on corporate financial performance. (3) The earnings management practice and corporate financial performance have influence on firm value.The results of this study indicate (1)The audit committee quality negatively influence on earnings management practice, (2) The board of commissioner’s quality negatively influence on earnings management practice (3) The institutional ownership negatively influence on earnings management practice (4) the managerial ownership negatively influence on earnings management practice but not significantly (5) simultaneously The audit committee quality, The board of commissioner’s quality, institutional ownership and managerial ownership, have significant influence on earnings management practice, and (6) earnings management practice positively influence on corporate financial performance but not significant, (7) earnings management practice positively influence on firm value, but not significant, (8) corporate financial performance positively influence on firm value.
“Family-friendly” tenancies in the private rented sector

Purpose This paper aims to analyse the extent to which the government’s recent proposals to end no-fault evictions will result in “family-friendly” tenancies. Design/methodology/approach It applies the theoretical scholarship on the meaning of family and home to the current law relating to private rented tenancies and the government’s proposals to increase security of tenure in the private rented sector. Findings Security of tenure is important to a number of the key aspects of home. However, feelings of home are better protected by security of occupancy, which requires more than de jure security of tenure. For families to feel at home in the private rented sector, they must be permitted to personalise their home and to keep pets. Further legislative changes could achieve these changes. However, for families to really make a home in the private rented sector, they need to exercise some choice over where they live and for low-income families; this will only be possible with broader policy changes. Originality/value This paper contributes to the important scholarship on the meaning of home and applies this to the very current debate on the rights of tenants in the private rented sector.
Characterization of Primary Users in Cognitive Radio Wireless Networks using Support Vector Machine

Objectives: This paper aims to solve a problem of existing research for Cognitive Radio networks Unlicensed (specifically for Wi-Fi with centralized network topology), which aims at the spectral making decision stage to efficiently characterize the behavior of users (called PUs) in order to identify spectral opportunities that can be used beneficially by other wireless applications or users. Methods/ Statistical Analysis: The methodology includes capturing the dynamics of channel usage by a user in the 2.4 GHz band, later to apply a pre-processing of the data and reach an estimate for the level of modeling (based training system) and prediction. Findings: The possible solution that was raised during the development of the research was to use a Support Vector Machine (SVM) to estimate the prediction by classification. Application/Improvements: The results suggest that the use of SVM does not correspond to the methodology of artificial intelligence accurately because the level of delivered estimate is not accurate.
Network analysis of high-density microelectrode recordings

A high-density microelectrode arrays (HDMEA) with 3,150 electrodes per square millimetre was used to capture neuronal activity across various scales, including axons, dendrites, and networks. We present a new method for high-throughput segmentation of axons based on the spatial smoothness of signal delays. Comparison with both ground truth and receiver operator characteristics shows that the new segmentation method outperforms previous methods based on the signal-amplitude-to-noise ratio. Structural and functional neuronal network connectivity were reconstructed using a common extension of “Peter’s rule” and a inter-spike histogram method, respectively. Approximately one third of these connections are putative chemical synapses. We evaluated the spike patterns but did not find evidence for “polychronisation” (non-synchronous but precisely timed spike sequences). The developed framework can be used to investigate the relationship between the topology of neuronal connections and emerging temporal spike patterns observed in dissociated neuronal cultures.
Petri nets with may/must semantics: Preserving properties through data refinements

Many systems used in process managements, like workflow systems, are developed in a top-down fashion, when the original design is refined at each step bringing it closer to the underlying reality. Underdefined specifications cannot however be used for verification, since both false positives and false negatives can be reported. In this paper we introduce colored Petri nets where guards can be evaluated to true, false and indefinite values, the last ones reflecting underspecification. This results in the semantics of Petri nets with may- and must-enableness and firings. In this framework we introduce property-preserving refinements that allow for verification in an early design phase. We present results on property preservation through refinements. We also apply our framework to workflow nets, introduce notions of may- and must-soundness and show that they are preserved through refinements. We shortly describe a prototype under implementation.
GENDER DAN PEMBANGUNAN PEREMPUAN DI ACEH PASCA KONFLIK DAN TSUNAMI: PEMBAHASAN TEORITIS

This article discusses the theoretical analysis of gender and its relationship to women's development in post-conflict Aceh and the tsunami. This discussion is considered important because of two causes, first the development of women in most countries is always focused on the gender concepts that discuss the position of men and women from the socio-cultural side that influence development in particular in this study is the development of women's rights Aceh . While the development of women is still minimal has led to demands for the fulfillment of women's rights in Aceh. Based on this, then the issues studied in the discussion of this article are what is meant by gender and how can gender be formed? What is the relationship between gender concepts and women's development process in Aceh ? The findings of the study found that the concept of gender is an important contributor to the birth of women's power in advocating for the development of their rights in post-conflict Aceh and the tsunami. This is because the concept of gender provides a great opportunity for the existing women's movements in various parts of the world, especially in post-conflict Aceh and tsunami in Aceh. At the end of the study, this article shows that gender plays an important role in the development of women's rights in Aceh. Keywords : Gender, Development of women, Aceh, Conflict and Tsunami.
Imbalancing the academy: the impact of research quality assessment, di Ian McNay

The UK exercises in research quality assessment since 1986 have had ill-defined objectives. For the first exercises, the results were simply 'to inform funding', seeking value for money in an evaluative, regulatory state. That aim remained, almost word for word, until the Research Excellence Framework (REF) in 2014, when there was an additional articulated intent 'to change behaviour'. There had already been much changed behaviour over the years, perhaps unintended,apparently unexpected,as staff adapted their responses to changing 'rules of the game' and the meaning they attributed to these. This article outlines the changing mechanics of successive exercises - the process means toil-defined policy ends, and analyses the impact of design features which have affected the staff, and distorted institutional strategies of both policy development and control of delivery. The cumulative effect is to imbalance the system to favour a small elite, leading to isomorphism and funding concentrated to an extent that risks loss of diversity and stifling of challenges to established ideas, failing to recognise a variety of excellences.
Predicting voice alternation across academic Englishes

Abstract Academic writing in the second half of the twentieth century witnesses a notable decrease in be-passives in British and American English (AmE). This trend is more advanced in the soft than in the hard sciences; with the exception of AmE, moreover, regional variation is not highly significant. This paper aims to discover whether the use of passives is conditioned by the same factors across seven different varieties of English (both as a first and as an institutionalized second language). For this purpose, we automatically retrieve central be-passives and active transitives from syntactically annotated International Corpus of English corpora and code for factors that are likely to play a role in the choice between active and passive (such as the semantics of the participant roles or the length of the constituents). Our results show that, while the same factors predict the choice of a passive over an active verb phrase across first- and second-language varieties, subtle differences are found in the effect size that some factors (animacy, givenness and length of passive subject) have, notably in Hong Kong and Philippine English. Some (but not all) of these find an explanation in substrate influence.
Low Temperature Sapphire to Silicon Flip Chip Interconnects by Copper Nanoparticle Sintering

The continuous trend to integrate more multi-functions in a package often involves, Heterogeneous Integration of multi-functional blocks in some kind of 3D stacking. The conventional flip chip for die-on-substrate technology applies solder for integration. However, solder joint integration has the disadvantages of restricting height, reflow issues and re-melting at high operating temperatures. Nanometallic particle sintering offers a potential solution for these solder related issues. Nanometallic particle sintering occurs at low temperature and does not reflow and melt at higher temperatures. Hence, it can be applied for quite precise alignment and integration technologies, such as photonic components on silicon for harsh environment applications. In order to test this concept, we use sapphire and Si wafers with different mechanical properties, which can lead to the coefficient of thermal expansion mismatch. The sapphire chip can operate at a higher temperature applied for ultraviolet photonics application. This report describes a novel approach using copper nanoparticles paste patterned through photolithographic stencil printing. The photoresist acts as the stencil mask, and a photoresist lift-off process is applied to strip the photoresist stencil. This process has the advantages of lithographic form factor and precision and provides a chip to chip interconnect with a standard height of 20 µm.
BUILDING CONSTRUCTION PROGRESS MONITORING USING UNMANNED AERIAL SYSTEM (UAS), LOW-COST PHOTOGRAMMETRY, AND GEOGRAPHIC INFORMATION SYSTEM (GIS)

Abstract. Monitoring the progress of building’s construction is critical in construction management. However, measuring the building construction’s progress are still manual, time consuming, error prone, and impose tedious process of analysis leading to delays, additional costings and effort. The main goal of this research is to develop a methodology for building construction progress monitoring based on 3D as-built model of the building from unmanned aerial system (UAS) images, 4D as-planned model (with construction schedule integrated) and, GIS analysis. Monitoring was done by capturing videos of the building with a camera-equipped UAS. Still images were extracted, filtered, bundle-adjusted, and 3D as-built model was generated using open source photogrammetric software. The as-planned model was generated from digitized CAD drawings using GIS. The 3D as-built model was aligned with the 4D as-planned model of building formed from extrusion of building elements, and integration of the construction’s planned schedule. The construction progress is visualized via color-coding the building elements in the 3D model. The developed methodology was conducted and applied from the data obtained from an actual construction site. Accuracy in detecting ‘built’ or ‘not built’ building elements ranges from 82–84 % and precision of 50–72 %. Quantified progress in terms of the number of building elements are 21.31% (November 2016), 26.84 % (January 2017) and 44.19 % (March 2017). The results can be used as an input for progress monitoring performance of construction projects and improving related decision-making process.
Kode Raptor Berbasis Low Density Generator Matrix (ldgm) Untuk Single Carrier Internet Of Things (sc-iot)

Tugas Akhir ini mengusulkan kode Raptor baru berbasis low density generator matrix (LDGM) untuk mendukung Internet of Things (IoT) yang berkomunikasi menggunakan single carrier transmission, disebut single carrier -IoT (SC-IoT). IoT merupakan teknologi masa depan yang terrealisasi dengan Machine-toMachine (M2M) communications dan melibatkan miliaran device yang saling terkoneksi dalam Internet. Target utama Tugas Akhir ini adalah pada pengembangan Kode Raptor untuk internal device, namun tidak menutup kemungkinan bahwa beberapa hasil dalam Tugas Akhir ini bisa dipakai untuk desain, analisis, dan pengembangan lanjut network coding berbasis Kode Raptor. Teknik yang diusulkan dalam Tugas Akhir ini dikhususkan untuk SC-IoT, karena single carrier transmission memiliki kelebihan berupa kesederhanaan desain sehingga sesuai untuk aplikasi yang memerlukan baterai tahan lama. Tugas Akhir ini mengusulkan Kode Raptor untuk SC-IoT devices dengan degree distribution baru yang (sub)optimal, didapat dengan extrinsic information transfer (EXIT) analisis, sehingga performansinya mendekati Shannon limit dan menghindari pemborosan power dalam transmisi. Kode Raptor terdiri atas precode dan Kode Luby Transform (LT). Tugas Akhir ini mengusulkan precode berupa LDGM, yang kemudian disebut Kode LDGM-Raptor. Kode LDGM-Raptor ini dirancang secara (sub)optimal sehingga sesuai untuk SC-IoT dengan bit-error rate (BER), dan outage probability yang rendah tetapi throughput yang tinggi. Tugas Akhir juga ini mengevaluasi performansi Kode LDGM-Raptor dengan Shannon limit, yang diturunkan dari kapasitas kanalnya, untuk mengkonfirmasi kesesuaian dengan kebutuhan jaringan masa depan. Keywords: Internet of Things, Kode LDGM, Kode Raptor, EXIT chart
Clustering Algorithms Analysis Based on Arcade Game Player Behavior

The purpose of this study is to investigate the feasibility of using different clustering algorithms in grouping arcade game data for player behavior profiling. Using 3 clustering algorithms namely K-Means, Hierarchical Agglomerative Clustering, and DBSCAN, recorded game data for 6 games were clustered and the performance of each clustering algorithm was measured and compared. K-Means was shown to produce the highest quality and well formed clusters among all other algorithms used, and it also scored the highest on two of the evaluation metrics used. This study definitely answered the question regarding the utilization of different clustering algorithm with the use of arcade game data. Further studies are needed in order to generalize the idea of player profiling on games as a whole, with no regards in genres.
Anti-windup Compensation of Input Constrained Systems

This work studies the design and implementation of anti-windup compensators for systems with magnitude and rate-limited actuators; the work contains four main contributions. The first is the development of a new method for anti-windup compensator design, based on the solution of a single Riccati equation, for systems with magnitude saturated actuators. The second contribution shows how this new method can be adapted to systems with rate saturation. The third contribution describes the application of the anti-windup techniques developed to a complex experimental aircraft model in order to reduce the susceptibility to pilot-induced-osicalltions. The work culminates with a description and analysis of the implementation of these anti-windup compensators on a real aircraft and the subsequent flight tests. The flight test results clearly illustrate the advantages of employing anti-windup compensation in terms of improved handling qualities and reduced susceptibility pilot-induced-oscillations.
A Multiple Charge Extractions and Multiple Precharge Interface Circuit for Piezoelectric Energy Harvesting

This paper proposes a piezoelectric energy harvesting interface circuit using multiple charge extractions and the multiple precharge (MCE-MPC) technique. This circuit is able to extract energy from PEH efficiently using a miniscule inductor and has the advantage of controllable precharge energy. It improves output power and extraction efficiency by using precharge and multiple transfers techniques. When the inductor value is 50μH, the output power of MCE-MPC is increased by 101.92% and 24.60% compared with synchronous electric charge extraction (SECE) and multi-shot SECE (MCE), respectively, and 7.62% compared with multiple charge extractions with bias-flip (MCEBF) when precharging the piezoelectric voltage to the same value. When the inductor value is 1mH, an extraction efficiency of 102.9% can be obtained by MCE-MPC.
Unsupervised Learning Based on Temporal Coding Using STDP in Spiking Neural Networks

Spiking Neural Networks (SNNs) have been recognized as one of the next generation of Neural Networks (NNs), showing a great potential in a variety of applications. Spiking-Timing Dependent Plasticity (STDP) underlies the brain’s learning mechanisms, and trains SNNs with great energy efficiency. In this paper, we propose a low-cost spike-time based unsupervised learning method. It constructs a SNN with one fully-connected excitatory layer structure without inhibitory layer, and trains the SNN with STDP using a first-spike-based temporal coding scheme where input information is directly encoded into spike times. It only updates the synaptic weights connected to the neuron that first generates a spike in a forward propagation step, which reduces the frequency of the synaptic weight updates significantly. The forward propagation process can be stopped once a neuron fires whether in the training mode or the inference mode, by which many unnecessary computations are just avoided and the latency in the inference mode is reduced. The method was used to train on the classification task on MNIST dataset and achieved an accuracy of 90.4% with 800 excitatory neurons.
The effects of knowledge characteristics, organizational and societal culture in knowledge transfer within firms

Purpose- Knowledge is a competitive asset for the firm. Yet, existing studies mostly investigated joint ventures, acquisitions, and cross border transfers not knowledge transfer at the micro level per se. Hence, individual to individual transfer within a single firm present importance. In this study, we examine the transfer methods and possible inhibitors among individuals in organizations. Methodology- In this study, we have presented an individual knowledge transfer framework. This framework is personal, and transfer is also a social event. Organizational and societal culture aspects are also incorporated in the framework. The proposed framework could allow future studies new pleasurable directions Findings- The proposed framework and propositions are taught to be quite useful in research and managerial areas and could provide a significant contribution to scholarly publications that would be carried out in the future. We also suggest future research directions in examining micro-level knowledge transfer that also could provide an important competitive advantage to a firm. Conclusion- Effective and efficient knowledge transfer provides a competitive advantage to the firm. Therefore, it is crucial firms decide and implement how, when, where, and why employees transfer needed knowledge within the firm. This framework could enable firm managers to appreciate and consider all important dimensions of knowledge transfer and better facilitate the micro level knowledge transfers within firms.
A current-mode Σ△ modulator with FIR feedback and DC servo loop for an improved dynamic range

In this paper, we present a continuous-time current-mode $\Sigma\triangle$ modulator (CT C-SDM) with finite impulse response (FIR) feedback to increase clock jitter robustness while preserving the anti-aliasing filtering (AAF) property of a CT modulator. The modulator also features a newly proposed DC servo loop (DSL) that extends the modulator’s dynamic range in applications with a large DC bias current. This improvement breaks the intrinsic tradeoff between dynamic range and quantization noise floor of C-SDM for applications which require the digitization of AC currents in the presence of strong DC bias currents. The proposed modulator architecture has been manufactured in 180nm CMOS, and consumes 64mW from a 3. 3V supply. The chip’s measured peak SNR and SNDR are 77 dB and 76.8 dB, respectively. The modulator can accommodate AC signal currents up to 137$\mu \mathrm{A}_{\mathrm{p}\mathrm{p}}$ and features an integrated noise of 6.9 n$\mathrm{A}_{\mathrm{r}\mathrm{m}\mathrm{s}}$ over a 200 kHz bandwidth, corresponding to a noise floor of 15 pA/$\sqrt{\mathrm{H}\mathrm{z}}$. An off-chip implementation of the proposed DSL verifies its positive effect on the modulator’s dynamic range (DR) without deteriorating the modulator’s noise performance and/or stability properties.