Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of Good Corporate Governance Implementation and Risk Management on Bank Performance and Corporate Values

Monetary and real sectors are economic activities that have developed dynamically. One of the effects is towards the banking sector. The purpose of this study is to determine between good corporate governance (GCG) and risk management and its implementation with bank performance before and after the implementation of OJK regulation based on the test conducted. This study also assesses the company (bank) is an approach used to see all the needs and information related to the corporate value (bank) that can be prepared completely by policymakers. This research method uses explanative survey with structural equation modeling analysis. The sample of this research is foreign, government, and private banks which can be obtained from Bank Indonesia (BI) website. The period taken is the period 2008 2016. The role of the financial services authority affects the average value of GCG and risk management mechanisms. However, the performance of the bank and the value of the company has no effect when compared before and after the formation of the financial services authority.
SYNTHESIS, CHARACTERIZATION AND ANTIBACTERIAL INVESTIGATION OF SOME ISATOIC ANHYDRIDE DERIVED AMIDES

Amide is a class of organic compounds with diverse biomedical utilities. The purpose of this work was to synthesize amide derivatives with possible antibacterial activities. The method involves the reaction of each of the amines (propargylamine, benzylamine and 1-naphthy methylamine) with isatoic anhydride in DMF resulting in opening of isatoic anhydride ring with evolution of carbon dioxide. The compounds were purified using column chromatography and were characterized with the combination of Fourier transform infra-red, nuclear magnetic resonance, mass spectroscopy and elemental analyses. These compounds were then screened for the antibacterial activity using agar wells plate incubated for 24 hours at 37 °C and zone of inhibition were measured and recorded. The antibacterial screening of the synthesised and characterized compounds showed no zone of inhibition suggesting that none of the synthesized compound had antibacterial property against the tested bacteria strains.
Damage Phenomena in Optical Connector End Faces

When optical signals are transmitted over a long distance using single-mode optical fibers (SMFs), it is necessary to connect long optical fibers along the transmission path. Optical connectors for SMFs were developed for this purpose. In addition to single-core connectors such as SC-type connectors [1], MUtype connectors [2], LC-type connectors [3], and so forth, MT-type connectors [4] capable of collectively connecting a large number of optical fibers are widely used. Several research institutes have studied the high power performance of singlemode fiber-optic connectors [5]–[8]. One of the most common types of degradation observed in the connectors is related to end-face contamination, often induced by plug/unplug operations. The contamination in optical connectors comprises dust or other organic particles, which are mainly produced during network installation as a result of handling by human operators. When the plug/unplug procedure is performed with contaminated connectors, the impurities can enter the fiber core region. These adherent impurities act as absorbing centers, and the surrounding material is heated to sufficiently high temperatures to induce permanent damage. The temperature rise in the connector may also trigger the fiber fuse effect. The high-power damage phenomena in fiber-optic connectors were previously investigated from the viewpoint of the adhesion of absorbing organic materials, such as carbon-black-doped resin [5], [8] and a thin layer of carbon black [7], on the core end faces in the connectors. The carbon black was used to represent organic contaminants in these studies. De Rosa et al. prepared mated connector pair sets that consisted of end faces with carbon black uniformly covering the fiber cores [5]. These contaminated samples were prepared using a carbon-black-doped UV-curable acrylate resin. A thin, even layer of solution was applied to the end face of one connector of the mated pair and was cured using UV light to provide a known end-face condition. Samples contaminated with 5 wt% carbon-black-doped acrylate resin exhibited end-face damage at an initial laser power P0 of 49 mW when they were exposed to CW laser light with a wavelength λ0 of 1.55 μm [5]. Seo et al. reported that optical connectors with light-absorbing contaminants such as carbon-black-doped epoxy resin and/or oil-based black ink showed end-face damage at P0 = 2 W when exposed to laser light with λ0 = 1.48 μm [8].
Subtypes of Late-Life Depression

Background: With increasing age, symptoms of depression may increasingly overlap with age-related physical frailty and cognitive decline. We aim to identify late-life-related subtypes of depression based on measures of depressive symptom dimensions, cognitive performance, and physical frailty. Methods: A clinical cohort study of 375 depressed older patients with a DSM-IV depressive disorder (acronym NESDO). A latent profile analysis was applied on the three subscales of the Inventory of Depressive Symptomatology, as well as performance in five cognitive domains and two proxies for physical frailty. For each class, we investigated remission, dropout, and mortality at 2-year follow-up as well as change over time of depressive symptom severity, cognitive performance, and physical frailty. Results: A latent profile analysis model with five classes best described the data, yielding two subgroups suffering from pure depression (“mild” and “severe” depression, 55% of all patients) and three subgroups characterized by a specific profile of cognitive and physical frailty features, labeled as “amnestic depression,” “frail-depressed, physically dominated,” and “frail-depressed, cognitively dominated. ” The prospective analyses showed that patients in the subgroup of “mild depression” and “amnestic depression” had the highest remission rates, whereas patients in both frail-depressed subgroups had the highest mortality rates. Conclusions: Late-life depression can be subtyped by specific combinations of age-related clinical features, which seems to have prospective relevance. Subtyping according to the cognitive profile and physical frailty may be relevant for studies examining underlying disease processes as well as to stratify treatment studies on the effectiveness of antidepressants, psychotherapy, and augmentation with geriatric rehabilitation.
Clothing and Appearance among Early, Middle and Late Adolescents

The purpose of this study was to investigate clothing use, satisfaction with clothing and satisfaction with the body among early, middle and late adolescents. Data were collected from 478 sixth, ninth and twelfth grade males and females in two school districts, one urban, one rural and separated by 45 miles. Dramatic physical, psychological and social changes are expected to take place during this transitional period of development; however, most research on adolescents and appearance has focused on them as if they were a homogeneous group. Significant differences were found between stages of adolescence on clothing use, satisfaction with clothing and satisfaction with appearance of the body. Older adolescents were less satisfied with their clothing and their bodies than were younger adolescents. Gender differences found between clothing and appearance variables seem to be largely reflective of society in terms of how males and females are socialized (e.g. physical effectiveness for males, physical attractiveness for females). Large differences found between rural and urban adolescents indicate the importance of identifying adolescents by place of residence when examining clothing and appearance and perhaps other lifestyle variables.
ReuseTracker: Fast Yet Accurate Multicore Reuse Distance Analyzer

One widely used metric that measures data locality is reuse distance—the number of unique memory locations that are accessed between two consecutive accesses to a particular memory location. State-of-the-art techniques that measure reuse distance in parallel applications rely on simulators or binary instrumentation tools that incur large performance and memory overheads. Moreover, the existing sampling-based tools are limited to measuring reuse distances of a single thread and discard interactions among threads in multi-threaded programs. In this work, we propose ReuseTracker—a fast and accurate reuse distance analyzer that leverages existing hardware features in commodity CPUs. ReuseTracker is designed for multi-threaded programs and takes cache-coherence effects into account. By utilizing hardware features like performance monitoring units and debug registers, ReuseTracker can accurately profile reuse distance in parallel applications with much lower overheads than existing tools. It introduces only 2.9× runtime and 2.8× memory overheads. Our tool achieves 92% accuracy when verified against a newly developed configurable benchmark that can generate a variety of different reuse distance patterns. We demonstrate the tool’s functionality with two use-case scenarios using PARSEC, Rodinia, and Synchrobench benchmark suites where ReuseTracker guides code refactoring in these benchmarks by detecting spatial reuses in shared caches that are also false sharing and successfully predicts whether some benchmarks in these suites can benefit from adjacent cache line prefetch optimization.
The cluster approach and SME competitiveness: a review

Purpose – The purpose of this paper is to review the effect of a cluster approach on SMEs' competitiveness. The primary objective is to examine the use of a cluster approach among SMEs as a tool for meeting their challenges related to globalisation and trade liberalisation, as well as investigating its contributing factor in the process of increasing their competitiveness.Design/methodology/approach – The methodology used for this paper is a literature review of published materials. The literature analysis was performed based on research objectivity, coverage and authority.Findings – There is strong evidence to suggest that a cluster policy brings additional positive effect to existing SME policy in industrialised economies, but such effects have not been extensively researched in developing (transition) countries, particularly from the point of view of the SMEs, which are the main actors in the cluster development process, in relation to whether their performance has been improved as a result of cluster .
Equidistant path generation for improving scanning efficiency in layered manufacturing

Path generation is an important factor that affects the quality and efficiency of most laminated manufacturing processes such as SLS, SLA and FDM. This paper introduces an efficient path generation algorithm. The principle of the algorithm and its implementation are presented. A comparative study is used to analyze the effectiveness of this method. The results of comparison on both path length and processing time between the traditional method and the proposed method are discussed.
DBR waveguide laser in erbium-diffusion-doped LiNbO3

The first integrated optical DBR waveguide laser with dry-etched Bragg grating (345 nm period) is demonstrated in Er-diffusion-doped doped zeta -cut LiNbO/sub 3/ with Ti-diffused waveguide. Three different resonator configurations have been investigated. The best device has a threshold of 40 mW coupled pump power ( lambda /sub p/=1484 nm) and emits up to 2 mW CW output power at lambda /sub s/=1531 nm with a typical bandwidth of 3.6 GHz.
Higher Order Variational Integrators for Multibody System Dynamics with Constraints

The continuous and discrete Euler-Lagrangian equations with holonomic constraints are presented based on continuous and discrete Hamiltonian Principle. Using Lagrangian polynomial to interpolate state variables and Gauss quadrature formula to approximate Hamiltonian action integral, the higher order variational Galerkin integrators for multibody system dynamics with constraints and the computation procedure are given. Numerical examples are provided to show the long-time behavior of the methods proposed in this paper via comparisons with traditional Runge-Kutta methods.
IMPULSIVE EXCITATION OF ACOUSTIC VIBRATIONS IN APPLES FOR FIRMNESS DETERMINATION

ABSTRACT Apple modulus of elasticity was readily predicted (r^ > 0.76) from acoustic resonant frequency vibrations caused by an impulse striking the apple. Magness-Taylor fiminess was poorly predicted (r^ < 0.27) using the same technique. An elastic sphere model was developed that utilized an observed resonant frequency to predict the modulus of elasticity of the apple. These predictions were compared with measured values of Magness-Taylor firmness and modulus of elasticity.
Optical oxygen saturation imaging in cellular ex vivo lung perfusion to assess lobular pulmonary function.

Ex vivo lung perfusion (EVLP) is an emerging tool to evaluate marginal lungs in lung transplantation. However, there is no objective metric to monitor lobular regional oxygenation during EVLP. In this study, we developed oxygen saturation (SaO2) imaging to quantitatively assess the regional gas exchange potential of the lower lobes. Ten porcine lungs were randomly divided into control and donation after circulatory death (DCD) groups (n = 5, each). Lungs were perfused in cellular EVLP for 2 h, and multispectral images were continuously collected from the dorsal sides of the lower lobes. We examined whether lower lobe SaO2 correlated with PaO2/FiO2 (P/F) ratios in lower pulmonary veins (PV). The wet/dry ratio in lower lobes was measured and Monte Carlo simulations were performed to investigate the method's feasibility. There was a significant correlation between lower lobe SaO2 and the P/F ratio in lower PV (r = 0.855, P < 0.001). The DCD group was associated with lower SaO2 and higher wet/dry ratio than the control group (P < 0.001). The error of estimated SaO2 was limited according to Monte Carlo simulations. The developed technology provides a noninvasive and regional evaluative tool of quantitative lobular function in EVLP.
Extraction of the Si-SiO/sub 2/ interface trap layer parameters in MOS transistors using a new charge pumping analysis

Using an in-depth approach for the Si-SiO/sub 2/ interface in metal-oxide-semiconductor (MOS) transistors, the parameters of the Si-SiO/sub 2/ interface trap layer can be measured. Trap depth concentration profiles are found of the form N/sub t/(x)=N/sub ts/exp(-x/d)+N/sub to/. The first term corresponds to the Si-SiO/sub 2/ interface traps and the second to the trap density in the oxide strained layer. In state-of-the-art MOS transistors, N/sub ts//N/sub to//spl ap/100 while d/spl ap/1 /spl Aring/. This is achieved using a new charge pumping (CP) analysis based on the evolution of the CP current with the gate signal frequency. The distortions introduced to the profiles by the near source and drain regions of the devices, where the doping concentration is lower than in the channel, are studied. The case of RTCVD oxynitrides as gate films is also considered.
Experimental Investigation Into Thermal Behavior of Steam Turbine Components: Part 3 — Startup and the Impact on LCF Life

Steam turbine start-up has a significant impact on the cyclic fatigue life. Modern steam turbines are operated at high temperatures for optimal efficiency, which results in high temperature differences relative to the condition before start-up. To achieve the fastest possible start-up time without reducing the lifetime of the turbine components due to excessive thermal stress, the start-up procedure of cyclic turbines is optimized to follow the specific material low cycle fatigue limit. For such optimization and to ensure reliable operation, it is essential to fully understand the thermal behavior of the components during start-up. This is especially challenging in low flow conditions, i.e. during pre-warming and early loading phase. A two-dimensional numerical procedure is described for the assessment of the thermal regime during start-up. The calculation procedure includes the rotor, casings, valves and main pipes. The concept of the start-up calculation is to replace the convective effect of the steam in the turbine cavity by an equivalent fluid over-conductivity that gives the same thermal effect on metallic parts. This approach allows simulating accurately the effect of steam ingestion during pre-warming phase. The fluid equivalent over-conductivity is calibrated with experimental data. At the end of the paper the impact of ingested steam temperature and mass-flow on the rotor cyclic lifetime is demonstrated. This paper is a continuation of papers [1] and [2]. Copyright © 2013 by Alstom Technology
Dying To Win: The Strategic Logic of Suicide Terrorism

Robert Pape thoroughly examines the misperceptions about and motivations behind suicide terrorism in his book, Dying to Win: The Strategic Logic of Suicide Terrorism. He uses empirical data and a multidisciplinary approach to support his argument that suicide terrorism is used to meet the secular and strategic goal of compelling the withdrawal of military forces.
Efficiency Evaluation of Energy in Northeastern China Based on Data Envelopment Analysis

The development of the energy economy in Northeastern China is unbalanced. In this paper, some energy structures such as oil, coal, and electricity are chosen as input indexes, while per capita gross domestic product (GDP) and total retail sales of consumer goods are desirable output indexes. The main causes of haze are industrial waste gas emission, industrial wastewater discharge, and solid waste production, which are regarded as undesirable output indexes. Environmental variables include industrial structure, urbanization, per capita GDP, and government planning. The proportion of the tertiary industry’s output value to its total output value is one of the important indexes to measure economic development in one area. Therefore, industrial structure plays a vital role in a region’s economic development. The tertiary industry oriented by service sector is the main force to promote economic transformation. The development of the urban economy will change from high to low as the process of urbanization, which can be characterized by green coverage of the urban built-up area. The higher per capita GDP, the higher the economic development can be achieved. Government planning refers to the total number of construction projects and completed projects in the year the government takes measures to control pollution. It shows that the total factor productivity of energy green efficiency has been stable in the last decades but fluctuated wildly in special periods, in which technical progress has played a great role, as well as the increase of technical efficiency.
A New Modeling Approach for Circuit-Field-Coupled Time-Stepping Electromagnetic Analysis of Saturated Interior Permanent Magnet Synchronous Motors

The performance predictions of the saturated IPM motor are, in general, difficult because of the variation of parameters due to magnetic saturation and cross-coupling. In this case, the well-known classical d-q model-based performance predictions can be unreliable. The difficulties are more apparent when the fractional-slot concentrated windings are used because neither the EMF waveforms nor the variation of inductance with rotor position is sinusoidal. Especially, the space harmonics of inductance cause considerable amount of time harmonics of current in the motor under the sinusoidal PWM voltage drive. The time harmonics of current increase the torque ripple and the harmonic iron losses. Hence, the space harmonics of inductance must be taken into account for the accurate design. Moreover, the effect of motor drive circuit such as PWM and dead time cannot be neglected in the design work. As computer technology has progressed, a time-stepping Finite Element Analysis (FEA) coupled with circuit simulation has enabled accurate predictions of the machine’s performance, i.e., instantaneous current and torque waveforms. However, this type of solution is still unpractical for design of a saturated IPM motor because of a large amount of computation time. This paper proposes a new modeling approach for circuit-filedcoupled time-stepping electromagnetic analysis of a saturated IPM motor. To predict the drive performance quickly, the proposed approach consists of a dynamic simulator based on a new analytical model of d, q-axes magnetization characteristics (λ-id-iq-θ). As a typical example, Fig. 1 shows the calculated q-axis magnetization characteristics under d-axis current id = 0 and −100 A. It is found from Fig. 1 that the space harmonics of λq are relatively large for the high q-axis current. In addition, the space harmonics is a function of d-axis current. Therefore, the model based on the magnetization characteristics can take into account not only the cross-saturation but also the harmonics of inductance distributions in the performance predictions.
Assessment of Three Alternative Bicycle Infrastructure Quality-of-Service Metrics

Cities throughout the United States are increasingly interested in the design of bicycle facilities to attract new riders and improve the comfort of existing riders. In particular, transportation agencies increasingly use treatments such as cycle tracks, buffered bike lanes, and colored pavement to supplement or replace traditional facilities (e.g., bike lanes). To respond to this trend, transportation professionals require evaluation metrics that effectively assess design options and provide decision-support in the choice of bicycle facilities that best match local context. Recent research has produced several bicycle evaluation tools [e.g., bicycle level of service (BLOS)] that attempt to fill this need. This paper presents the results of a comprehensive, real-world comparison of three leading bicycle evaluation tools: Highway Capacity Manual 2010 (HCM) BLOS, Danish Road Directorate BLOS, and the San Francisco, California, Bicycle Environmental Quality Index. Each evaluation tool was applied to a before–after evaluation of two bicycle facility installations in Washington, D.C. The tools were assessed with a consistent set of evaluation criteria, which included data and time requirements, sensitivity to key inputs, intuitiveness of the results, and soundness of the tool's theoretical basis. Intercept surveys of facility users were used to compare the tool outputs with actual user preferences. The results suggest several shortcomings in the HCM BLOS methodology that make it unsuited for assessing bicycle design options that include cycle tracks and other emerging bicycle facility types. Additional research is needed to develop a nationally accepted bicycle evaluation tool to reflect the growing variety of bicycle facilities in the United States.