Miracle-dz/UniFAR-FTUs huggingface dataset:
Putting sustainability at the core of knowledge management performance evaluation system

With the transformation of managerial views and the increasing focus on knowledge and intellectual capitals as the most important resources to the organizations, the necessity for retaining these resources and monitoring their effectiveness in order to know how they are utilized becomes significant. As for the universities, this requirement is even higher compared to other organizations, due to the fact that almost a complete chain of knowledge management processes and practices exist in the universities, from knowledge creation, planning, creation, development, and acquisition to knowledge updating, sharing, dissemination, utilization, and protection. Therefore, it is crucial to assess the performance of these knowledge management processes. Yet, it is noteworthy to re-look at universities to find out about their position in the community and their responsibilities towards the society at large. Universities do not operate in vacuum; rather their actions and decisions affect the society and the environment. Hence, any program aimed at evaluating the knowledge management performance of universities must also take into consideration their responsibilities toward the society and its sustainable development. This study emphasizes on the importance of putting sustainable development view at the core of any knowledge management performance evaluation effort and proposes a sustainable development-led framework for evaluating knowledge management performance in the university setting.
A state of the art survey of data mining-based fraud detection and credit scoring

Credit risk has been a widespread and deep penetrating problem for centuries, but not until various credit derivatives and products were developed and novel technologies began radically changing the human society, have fraud detection, credit scoring and other risk management systems become so important not only to some specific firms, but to industries and governments worldwide. Frauds and unpredictable defaults cost billions of dollars each year, thus, forcing financial institutions to continuously improve their systems for loss reduction. In the past twenty years, amounts of studies have proposed the use of data mining techniques to detect frauds, score credits and manage risks, but issues such as data selection, algorithm design, and hyperparameter optimization affect the perceived ability of the proposed solutions and it is difficult for auditors and researchers to explore and figure out the highest level of general development in this area. In this survey we focus on a state of the art survey of recently developed data mining techniques for fraud detection and credit scoring. Several outstanding experiments are recorded and highlighted, and the corresponding techniques, which are mostly based on supervised learning algorithms, unsupervised learning algorithms, semi-supervised algorithms, ensemble learning, transfer learning, or some hybrid ideas are explained and analysed. The goal of this paper is to provide a dense review of up-to-date techniques for fraud detection and credit scoring, a general analysis on the results achieved and upcoming challenges for further researches.
Biological Characteristics and Tissue Structure of a Crustose Coralline Lithophyllum Alga

The disappearance of seaweed flora in some rocky areas, which is known as algal whitening, barren ground, coralline flats, or deforested areas, is associated with some species of coralline algae. To determine the biological characteristics of a representative species of crustose coralline alga, the 18S rDNA gene was sequenced to identify the genus Lithophyllum. According to its morphological and distributional characteristics, it was deduced to be L. yessoense. Viability was measured using triphenyl tetrazolium chloride and showed high viability from December to February. Culture conditions of 16°C, a 16 hr light, 8 hr dark cycle, and 30 μE/㎡/s light intensity were optimal for maintaining the viability of the alga for up to five days. Included in the fatty acids was 9.7% ω-3 eicosapentaenoic acid. An electron microscopy scan of the surface structure revealed round craters about 3.6 μm in diameter, which were covered with rough, irregular, and angular polygon-shaped structures about 1.0 to 3.7 μm in size. Based on the composition and structure found in our study, biomimetic coralline alga might become an environmentally friendly antifouling material against the attachment of soft foulants.
Frequency shift caused by gravitation , Doppler and aberration

This paper describes a frequency shift by the diffe rence in particle speed and gravitational potential. The frequency of light source is offset by the increase in motion energy and the clock delay, and that Doppler shift is a synthesis of the classical Doppler shift and the aberrational Doppler shift. And the translational movement of lo ngitudinal direction without aberration is only the primary Doppler shift occurs. Gravitationa l frequency shift by difference of height is changing the frequency of the light source, and is changing the wave speed and wavelength of the photon. As an example the Flyby anomalies expla in th t the difference of centrifugal force potential appears to the frequency shift and rangin g data. INTRODUCTION My previous research [1] involved representing ener gies (gravitational mass, inertial mass, and Planck’s constant) of different particle speeds as an equivalence for quantum ( Mc=∆m∆w=hf/c). In addition, E=Mc (kinetic energy is changed to mass) does not indica te that the total energy change is always proportional to particle speed. Th erefore, “energy representation of a mathematical action,” and “energy change of a physi cal interaction” are not similar. The actual physical phenomenon should distinguish between thes e actions. METHODOLOGY The wave speed and total energy of the object to be resting at the invariant system is c=w0=f0λ0, (1) E0=M0c . (2) The clock delay is offset by the difference of moti on energy: A state that has added the motion energy from the ( Eq.1,2) is w=(c−v), (3) E=(c/w)E0. (4) When represent the energy quantum, it is
Morphological variation of two Alexandrium species responsible for paralytic shellfish poisoning in Southeast Asia

Abstract We examined in clonal cultures the morphological variation of two toxic dinoflagellates, Alexandrium tamiyavanichii and A. minutum, responsible for paralytic shellfish poisoning events in Southeast Asia. The Malaysian strain of A. tamiyavanichii had either a straight or oblique posterior margin on the first apical plate, and a triangular, square to trapezoid-shaped precingular part of the anterior sulcal plate. Morphological variability was also detected in the shape of the first apical plate, its connection to the apical pore, and the position of the ventral pore. In A. minutum, the Malaysian strains showed variation in the sixth precingular plate and the anterior sulcal plate. The length:width ratio of the sixth precingular plate varied from one to two. An anterior sulcal plate with a long left extension also occurred in both of the Malaysian strains. Several characters that have been extensively used in the identification of Alexandrium species have been proven quite variable.
Using Information to Promote Healthy Behaviours

11–13 CAVENDISH SQUARE LONDON W1G 0AN TEL: 020 7307 2591 www.kingsfund. org.uk The King’s Fund is an independent charitable foundation working for better health, especially in London. We carry out research, policy analysis and development activities; working on our own, in partnerships, and through funding. We are a major resource to people working in health and social care, offering leadership development courses; conferences; seminars and workshops; publications; information and library services; and conference and meeting facilities. CHARITY REG NUMBER 207401 APRIL 2008
A Hybrid Model for on-line Detection of Gas Turbine Lean Blowout Events

Modern dry low NOx combustors can target very low emissions levels by operating at a lean air/gas ratio. However, ultra-lean combustion is extremely susceptible to thermoacoustic combustion instabilities and Lean Blowout (LBO), which can lead to large pressure oscillations in the combustor and decreased durability of components. Conventional on-board diagnostics embedded in the Unit Control Panel (UCP) of a Gas Turbine, continuously check the health status of the combustion section at a high scan rate and raise alarms when abnormal conditions occur. While ensuring protection and control, UCP control logics may not provide precise indications on the nature of the issue and further troubleshooting, also using specific tools, is typically required. In a changing environment where Industrial Internet of Things (IIoT) is offering a chance to drive productivity and growth, online Monitoring and Diagnostic (M&D) software and services on connected units are becoming strategic to increase asset availability and reliability, as well as reducing maintenance costs. In this paper, we present a hybrid analytic, which combines physics-based and data-driven models, for the detection of Lean Blowout conditions on Gas Turbines equipped with Dry Low NOx multi-can combustion system. Regarding the data-driven model, we face a problem of classification and exploit dimensionality reduction to reduce the number of variables under consideration. During the development, different techniques are tested and benchmarked. The analytic is trained on real LBO events and finally is deployed in a production environment to process incoming on-line data acquired from monitored units. Obtained results are presented.
Does reverse causality explains the relationship between economic performance and technological diversity

Previous studies have highlighted technological innovation as a key instrument for economic development. However, although the relationship between innovation and economic growth has been extensively explored, few studies have investigated the impacts of crucial dimensions of innovation on economic growth. This paper presents one of the first empirical attempts to analyze how the “diversity” aspect of technological progress (or innovation) influences economic performance by considering the possible bidirectional causal effects between these two factors. A series of econometric techniques, including a two-stage-least-squares instrumental variable and dynamic autoregressive distributed lag model, are applied on a dataset of 55 countries. The dataset includes patent data from the United States Patent and Trademark Office and combined macroeconomic data from the World Bank’s development indicators and International Monetary Fund’s economic outlook databases. The results show that generally, technological diversity does not directly affect economic growth. By contrast, a negative effect of diversity on GDP per capita is observed in non-high-income countries. This study contributes to the macroeconomics and innovation management literature by providing an integrated empirical application of various popular firm management theories and a well-known endogenous economic growth theory.
Studying the Neutrality of Money: An Evidence of OPEC Member States

The main fundamental issue in developing oil exporting countries is that there is a disagreement between monetary policy makers and producers. Producers claim that the contraction of monetary policies reduces the output. In contrary with this, policymakers claim that the problem is low efficiency of producers. This paper studies the neutrality of money in OPEC member countries using panel approach during the period 1960-2013. Gross domestic product, liquidity, oil price, exchange rate, gross fixed capital formation and consumer price index are variables which were used in this investigation. The results of this research implied that there is a negative and significant relationship between liquidity and economic growth. A positive and significant relationship between inflation and economic growth is also founded. The results support that money is not neutral in mentioned countries. So, economists and policy makers ought to use appropriate monetary policies for reducing macroeconomic volatilities.
A short review of efficient ground-based harvesting systems for steep and mountainous areas.

There is an increased interest to find cost-efficient and environmentally sound options for timber harvesting in steep terrain since such operational conditions are widespread around the world. Several low or fully mechanized options were tested in steep terrain in order to assess their performance. This study gives an overview on achieved results when testing ground-based forest equipment such as harvesters, forwarders, skidders and chutes on steep terrain. The results as well as the testing conditions presented herein may help forest practitioners in decision making on what kind of equipment to use in similar work conditions.
Video Compensation for Highlights and Shadows

HDR method is a common used approach to enhance a LDR image for a static scene. It creates a HDR image from a number of LDR images for a static scene. But for a LDR video, the problem is somewhat different. Because the video is captured from a moving camera, it is difficult to obtain the images with different exposures for the same scene. This work proposes a 2-pass HDR method for the compensation of highlights and shadows in a video. First, barrel distortion correction and cylindrical projection are used to correct the perspective distortion, so the frames on different time can be aligned together. Then, the proposed 2-pass HDR method compensates the improper exposed frames in video. Because the proper exposure frame may come from preceding or succeeding frames, the process scan bi-directionally to compensate the highlights and shadows. Experimental results show that our method can effectively compensate the highlights and shadows for the input videos and yield the satisfied compensated results.
New Approaches to Employability in the UK: Combining ‘Human Capital Development’ and ‘Work First’ Strategies?

Abstract This article analyses recent developments in policies to promote the employability of unemployed and economically inactive people in the UK. It discusses the extent to which these policies reflect the dominant approaches of ‘Work First’, where programmes focus mainly on compulsory job search and short-term interventions to facilitate a quick return to work, or human capital development (HCD), where programmes tailor services to promote longer-term skills and personal development. Specifically, the article reports on case-study research into two recent pilot initiatives: Working Neighbourhoods (which targeted a range of intensive services in neighbourhoods characterised by high levels of inactivity) and Pathways to Work (which combines employability services and cognitive behaviour therapy-type approaches to help clients to manage health problems). While both pilots have retained strong Work First features, they potentially represent a shift towards a more HCD-oriented approach, through the delivery of more holistic ‘coping and enabling’ services. However, there remain concerns that, as with previous progressive policy initiatives, the positive lessons of these pilots will not be fully mainstreamed. We conclude that, if the UK is to balance Work First compulsion with high-quality services delivering progress in the labour market and HCD, a strengthening of ‘coping and enabling’ interventions is required, alongside a renewed commitment to training.
: STRAIN LOCALISATION BENEATH ACTIVE FAULTS , NEW ZEALAND 45 ° S 170 ° E Christchurch Dunedin 175 ° E 41 ° S Haast Milford Permian Ophiolite Belt ALPINE FAULT

The Alpine Fault accommodates around 60–70% of the 37 mm/yr oblique motion between the Australian and Pacific plates in the South Island of New Zealand. Uplift on the fault over the past 5 Ma has led to the exhumation of the deep-seated mylonite zone alongside the present surface trace. Shear strain estimates in the mylonites reach 200–300 in the most highly strained rocks, and provide an integrated displacement across the zone of 60–120 km. This is consistent with the amount of displacement during the last 5 Ma, suggesting that displacement on the fault is localised within a 1–2 km wide ductile shear zone to depths of 25–30 km. Existing geodetic data, together with Late Quaternary slip rate and paleoseismic data, are consistent with the steady build-up and release of elastic strain in the upper crust driven by ductile creep within a narrow mylonite zone at depth. Faults of the Otago Fault System form a parallel array east of the Alpine Fault and accommodate c. 2 mm/yr contraction. Long periods of quiescence on individual structures suggest episodic, or “intermittently characteristic”, behaviour. This is more consistent with failure on faults within an elastico-frictional upper crust above a ductile lower crust. Localisation of crustal deformation may be initiated by inherited weaknesses in the upper crust, with downward propagation of slip causing strain weakening within the ductile zone immediately beneath. Inherited structures of great length focus a greater amount of displacement and hence more rapidly develop underlying zones of ductile shear.
Switched-capacitor power supplies: DC voltage ratio, efficiency, ripple, regulation

A comprehensive and accurate steady-state analysis of a step-up DC-DC switched-capacitor power converter is performed. No approximations, such as average techniques, are invoked. Parasitic elements such as diode forward voltages, on-resistances of transistors and equivalent-series resistances of capacitors are included into the model. The converter performance functions, i.e. DC voltage ratio, efficiency, output voltage ripple, are expressed in terms of the number of switched-capacitor stages, number of capacitors per stage, values of the capacitors and parasitic elements, switching frequency and load. Design criteria aiming at high efficiency, low ripple and achievable output voltage are formulated. Trade-offs between the efficiency requirement and good regulation capability are discussed.
Design of seedling transplanting machine based on motion controller

In view of the current large labor intensity of seedling transplanting, low efficiency, unable to complete the task on time of transplanting and other issues, a kind of automatic seedling transplanting machine is designed based on motion controller. The seedling transplanting machine control system adopts motion controller as the core, with double CPU structure of "PC + motion controller", which can ensure the system response speed and processing speed. The test proves that the seedling transplanting machine can realize the automatic transplanting process, improve transplanting efficiency, and reduce the cost of transplanting, it has a certain practical significance.
Validation of a Laboratory Test Bench for the Efficiency of an N95 Filtering Face Piece, using Simulated Occupational Exposure

Ultrafine particles (<100 nm) have special properties that nanotechnologies seek to exploit. However, due to their nanometric scale, these particles can be deposited in the lungs and cause damage. Based on current knowledge, occupational exposure to nanoparticles occurs mainly in workplaces handling nanomaterials, or when certain processes generate them indirectly. However, there are currently no limit values for exposure to ultrafine particles. To limit worker exposure, respiratory protective devices (RPD) are generally used. The aim of this study was to determine if (a) a laboratory test bench and (b) a simulated occupational exposure setup were reliable representations undesirable exposure in workplace. Thus, two tests benches were used to compare on the one hand conventional measurements and on the other hand sanding- simulation process measurements. NaCl aerosols were generated and then used to measure penetration with constant flow at 43 L/min, 85 L/min and 135 L/min, and one cyclic flow defined by 85 L/min as the mean inhalation flow. The results showed that initial penetrations were less than 5%, as required by the certification. The results also showed that there was a high correlation between the two penetration measurements. One also notes that the measurements had a slightly higher maximum penetration with a charge- neutralized NaCl aerosol than with an un-neutralized NaCl aerosol. The charged-neutralized particles constituted the worst-case scenario exposure.
A SENSOR DESIGN AND DATA ANALYSIS FOR AUTOMATIC DRUM BEATER WINDING

In the percussion music industry, drum beater manufacturing requires a skilled operator to manually wind the beater with acrylic yarn. Tacit skill is used to control and adapt tension during the winding process of beater construction, which cannot be easily articulated. Consequently the operator has been unable to successfully pass the skill on. In order to overcome this problem, an investigation into automating the drum beater winding process has been initiated. An in-depth human task analysis was performed to identify the skill-, rule-, and knowledge-based tasks during the winding process. In this paper, the two key parameters, yarn tension and patting force reported by the human task analysis during the manual process are further studied. The patting force has been measured and analysed for the low-level control unit. A tension measurement sensor has been designed and substrate has been simulated. This sensor will be used to measure yarn tension during the manual winding process and further work will be carried out to analyse the results for tension control mechanism.
Earthquake forecasts for the CSEP Japan experiment based on the RI algorithm

An earthquake forecast testing experiment for Japan, the first of its kind, is underway within the framework of the Collaboratory for the Study of Earthquake Predictability (CSEP) under a controlled environment. Here we give an overview of the earthquake forecast models, based on the RI algorithm, which we have submitted to the CSEP Japan experiment. Models have been submitted to a total of 9 categories, corresponding to 3 testing classes (3 years, 1 year, and 3 months) and 3 testing regions. The RI algorithm is originally a binary forecast system based on the working assumption that large earthquakes are more likely to occur in the future at locations of higher seismicity in the past. It is based on simple counts of the number of past earthquakes, which is called the Relative Intensity (RI) of seismicity. To improve its forecast performance, we first expand the RI algorithm by introducing spatial smoothing. We then convert the RI representation from a binary system to a CSEP-testable model that produces forecasts for the number of earthquakes of predefined magnitudes. We use information on past seismicity to tune the parameters. The final submittal consists of 36 executable computer codes: 4 variants corresponding to different smoothing parameters for each of the 9 categories. They will help to elucidate which categories and which smoothing parameters are the most meaningful for the RI hypothesis. The main purpose of our participation in the experiment is to better understand the significance of the relative intensity of seismicity for earthquake forecastability in Japan.
Using distant supervision to build a proposition bank

Semantic role labeling has become a key module of many language processing applications. To build an unrestricted semantic role labeler, the first step is to develop a comprehensive proposition bank. However, building such a bank is a costly enterprise, which has only been achieved for a handful of languages. In this paper, we describe a technique to build proposition banks for new languages using distant supervision. Starting from PropBank in English and loosely parallel corpora such as versions of Wikipedia in different languages, we carried out a mapping of semantic propositions we extracted from English to syntactic structures in Swedish using named entities. We could identify 2,333 predicate–argument frames in Swedish. (Less)