Miracle-dz/UniFAR-FTUs huggingface dataset:
Numerical Study of the Dynamics of Laser Lineshape and Linewidth

give no information about the dynamics of lineshape and linewidth. Second, their way of calculating lineshape and linewidth leads through the implicit assumption that the laser field can be represented by a complex amplitude oscillating at the resonance frequency of the pure cavity, which is equivalent to requiring the solutions for the laser field to be self-consistent. In this context, the finite linewidth of the laser radiation is not related to the existence of solutions at frequencies other than the resonance frequency, it is just the fingerprint of the statistical fluctuations of the complex amplitude when transformed into the frequency domain. The Fokker‐Plank equation divides these statistical fluctuations into a drift term and a diusion term. The former is assigned the coherent
Liu Estimator Based on An M Estimator

ABS TRACT Objective: In multiple linear regression analysis, multicollinearity and outliers are two main problems. In the presence of multicollinearity, biased estimation methods like ridge regression, Stein estimator, principal component regression and Liu estimator are used. On the other hand, when outliers exist in the data, the use of robust estimators reducing the effect of outliers is prefered. Material and Methods: In this study, to cope with this combined problem of multicollinearity and outliers, it is studied Liu estimator based on M estimator (Liu M estimator). In addition, mean square error (MSE) criterion has been used to compare Liu M estimator with Liu estimator based on ordinary least squares (OLS) estimator. Results: OLS, Huber M, Liu and Liu M estimates and MSEs of these estimates have been calculated for a data set which has been taken form a study of determinants of physical fitness. Liu M estimator has given the best performance in the data set. It is found as both = 0.0078< = 0.0508 and = 0.0078< = 0.0085. Conclusion: When there is both outliers and multicollinearity in a dataset, while using of robust estimators reduces the effect of outliers, it could not solve problem of multicollinearity. On the other hand, using of biased methods could solve the problem of multicollinearity, but there is still the effect of outliers on the estimates. In the occurence of both multicollinearity and outliers in a dataset, it has been shown that combining of the methods designed to deal with this problems is better than using them individually.
Power System Dynamic Stability Enhancement Using Fuzzy Controlled STATCOM

This paper aims for linearized Phillips-Heffron model of power system installed with static synchronous compensator (STATCOM) and demonstrates the application of the model in analysing the damping effect of STATCOM and designing a STATCOM stabiliser to enhance power system oscillation stability. A Single Machine Infinite Bus (SMIB) system installed with STATCOM is considered which shows the negative damping influence of STATCOM DC voltage regulator on power system oscillations and the effectiveness of AC damping stabilizer installed in the STATCOM AC voltage regulator in order to counterattack the negative damping effect is demonstrated. Fuzzy logic controller is also de- signed for AC damping stabilizer in order to damp out the low frequency oscillations of power system. The entire per- formance of SMIB system installed with STATCOM and with various damping controllers along with fuzzy AC damping controller is analysed and tested using MATLAB simulation studies.
Perceptions on Preliminary Impact of the Pensiangan-Salinatan Programme: An Efficiency Implication

This paper examines the preliminary effects of the Pensiangan-Salinatan Project which was carried out by the Rajang Teachers’ Institute at four interior primary schools in Julau District. One set of questionnaires was administered to 29 primary school teachers/participants to obtain their perceptions on the preliminary impacts of the project in four aspects relating to skills in planning and implementation of Teaching-Learning, classroom management as well as evaluation and assessment. 95.8% of the teachers expressed their opinions that the added values given to them during the Pensiangan-Salinatan could help them to plan the teaching-learning aspect. Similarly, 91.3% of the teachers were in the opinion that new input given were helpful in implementing the teaching and learning process and 93.3% perceived that the Pensiangan-Salinatan could equip them the skills of classroom management. 89.3 % of the teachers perceived the project was helpful to them in practicing the classroom evaluative and assessment skills. Semi-structured interviews also indicated that the input given was beneficial and of added values to the teachers especially in subject content, teaching methodology, motivation and professional development. The study therefore implies that the government expenditure in helping the disadvantaged schools in the interior can be justified as the exchange efficiency could be achieved at high levels.
“ CREATE MUSIC THAT WILL OPEN A PERSON ’ S HEART ” : A PERSPECTIVE ON EMOTIONAL AND SOCIAL WELLBEING AS DEPICTED IN THREE FILMS

Music in film is a powerful means for highlighting particular themes or messages. Furthermore, film music provides a background to what the viewer perceives in scenes or events through the experiences of the actors. Although mostly fictional, many emotions or situations depicted in films can be assimilated with the life experiences of the viewer. The three films in question in this article, As it is in Heaven, Les Choristes and Harmony show that, in facing life’s many challenges, singing as a form of music can serve as a means to express and/or attain a measure of emotional and social wellbeing. The meaning of group singing, the relationship between singing and wellbeing as well as the comments of conferences attendees and the interpretation of some lyrics are discussed in this qualitative research article. The preceding points link to the “broaden-andbuild” model of positive emotions.
Factors blocking the development of north – central Rzeszów

Abstract Rzeszów is one of the best developing cities in Poland. Once the small HQ of a principality - due to complicated historical conditioning - it has now become a place where an increasing number of people choose to live. The city with its bursting life, streets and squares starts and ends, however, in an area which only a few dozen years ago still catered for one fifth of the current population. The main reason for this phenomenon is the presence of spatial barriers, which significantly limit the development of the central urban area. This article analyzes the elements, which block the development of the north-central part of Rzeszów. An appropriate diagnosis of the problem may in the future allow the right actions in urban planning to be taken in order to cross these barriers. This may lead to the future development of areas with huge urbanization potential. Investments undertaken by city authorities to develop the northern peripheries of Rzeszów may trigger the development of the central district in this direction. This may occur as a result of concrete design interventions. The new part of the central district should have the scale and proportions of urban space that answer to the needs of a dynamically developing capital of the Podkarpacie region.
Evidence of rock kangaroo seed dispersal via faecal seed storage in a tropical monsoon community

While some of the plant species of the ‘Sandstone Country’ along the escarpment of western Arnhem Land produce fleshy fruits and appear to rely on biotic methods of seed dispersal, little is known about the methods by which this is achieved – and few potential dispersers co-occur in the sandstone outcrop communities. For the present study, scat collections were made on outcrops in the northeastern area of Kakadu National Park with the hope of uncovering relationships between local frugivores and fruit-producers, and providing evidence for seasonal storage of mammal-dispersed seeds in scat prior to germination. The goals of the present project were to collect and identify sandstone community macropod scat, determine the identity of seeds present in the scat, and provide support for the role of browser/grazer macropods as effective seed dispersers via faecal seed storage in an otherwise disperser-poor local fauna. Scat containing seeds was identified as belonging to the Black Wallaroo (Macropus bernardus), a rare and locally-endemic macropod considered an intermediate browser/ grazer. These seeds were successfully germinated and the seedlings identified using molecular phylogenetic techniques as Gardenia fucata (Rubiaceae), an endemic rockspecialist species – thus establishing the first confirmation of effective seed dispersal by a ‘rock kangaroo’ in this region and the first identification of a seed disperser for this uncommon Gardenia species. The results provide support for the role of browser/grazer macropods as occasional effective seed dispersers of rock-specialist plant species in the northern monsoon tropics of Australia via faecal seed storage.
EFFECT OF COIR GEOTEXTILES ON BEARING CAPACITY

One of the important functions of geotextiles is to increase thc bearing capacity of the soil. The reinforcement effect is achieved either by micro reinforcement or by macro reinforcement. In the former, the reinforcement of the soil is achieved by mixing it with randomly oriented fibres. This aspect has been discussed in detail in Chapter 12. Macro reinforcement on the other hand, consists of placing reinforcing elements such as strips, bars, sheets, grids, cells, etc. in the soil. This can be placed in single layer or in multiple layers. In many cases roads and embankments are subjected to submergence and the soil will be in saturated conditions. To know the effectiveness of coir geotextiles in such situations it is necessary to carry out experimental studies in saturated conditions also. In the present investigation the possibility of utilizing coir geotextiles as reinforcement is explored by conducting studies on square footings resting on coir geotextile reinforced sand beds, both in dry and saturated conditions.
The community structure of Prosobranchia (Mollusca: Gastropoda) on shallow soft bottoms of the Çanakkale Strait

Calismanin amaci Canakkale Bogazi kiyisal sularinin (0-5 m) yumusak zeminlerindeki Prosobrans kommunite yapisini belirlemekti. Bentoz ornekleri Temmuz 2008 ve Nisan 2009 tarihleri arasinda bir Scuba dalici tarafindan 30x30 cm’lik kuadrat kullanilarak mevsimsel olarak toplanmistir. Orneklemeler Canakkale Bogazi’nin 8 farkli istasyonun 3 transekt derinliginde yurutulmustur. Prosobranslardan toplam 4472 birey kaydedilmistir. Rissoa splendida Eichwald, 1830 sayisal olarak en baskin turdu (Di % = 20.57). Lapseki istasyonu en dusuk birey sayisina (157) sahipken, Kilitbahir en yuksek (1069) birey sayisina sahipti. Spearman korelasyonuna gore en yuksek pozitif iliski (rs = 0.75) tuzluluk ile tur sayisi arasindadir. Aksine en dusuk (rs = 0.51) iliski ise pH ile tur sayisi arasindadir. Bray-Curtis benzerlik analizi yaz ve kis aylarinin (88.65%) cok benzer oldugunu gostermektedir. Canakkale ve Kilya koyu istasyonlari yuksek (70.87 %) benzerlige sahipti.
Sources, Sites and Components of Greenhouse Gases (GHGs) from Animal Agriculture in West Papua Province, Indonesia

Environmental status of an area needs to be recognized with both locally and globally measureable indicators. Papua Barat has played important roles as carbon sink of the world with its forest cover. However, recently many areas are being converted for several functions. Agricultural function is a leading sector for the environmental degradation with emissions uncounted produced. Data collected from nine regencies compiled by West Papua province environmental department were accounted for. Quantifications were made to compute average emission resulted from large livestock, small livestock and poultry-manure production. Manure and slurry were the main sources of GHGs emissions, i.e. CO2, CH4 and N2O. The highest contribution was produced by poultry followed by large livestock and small livestock (p<0.01). In terms of poultry, broiler was the highest (p<0.05) compared to village chicken, egg poultry and duck. The three highest producing emissions are Manokwari, Kota Sorong and Sorong.
Empirical Evidence on the Success of R&D Co-Operation - Happy Together?

In this paper we analyse the effect of past R&D cooperation on current firms’ innovation performance. Success measures are: sales of innovative products, distinguishing between products new to the firm and new to the market, and cost reductions due to innovative processes. Particular attention is paid to the impact of different cooperation partners. The analysis rests on firm-level data of the annual German innovation survey. We find that R&D cooperation with competitors leads to greater cost reductions that are attributable to innovative processes. R&D cooperation with research institutes has a positive influence on a firm’s economic success with market novelties.
A Comparative Study of Modified Principal Component Analysis and Generalized Latent Semantic Analysis Approach to Automated Marking of Theoretical-Based Exams

Examination is a means by which individual’s ability on an acquired skill or knowledge is evaluated. Some examiners useMultiple Choice Questions (MCQ), while others use the theory-based Questions. This study performed a comparative study of two techniques: Modified Principal Component Analysis and Generalized Latent Semantic Analysis used in grading students’ responses in theory-based examination. Softcopy of students’ responses and examiner’s marking scheme were captured in an electronic format of . txt. file. The inherent stopwords and stemming in the . txt document were pre-processed to address morphological variations using standard stopwords list and porters stemmer algorithm, respectively. N-gram terms were derived for each student’s response and the marking schemes (MS) using the vector space model. A Document Term Matrix (DTM) was generated with n-gram terms of MS and students response representing columns and rows, respectively. MPCA and GLSA algorithms were used to reduce the sparseness of the DTM to obtain a vector representation of the students’ answers and the marking scheme. The reduced vector representation of the students’ answers were graded according to the mark assigned to each question in the marking scheme using cosine similarity measure. The developed Automated Theory-Based Marking System (ATBMS) was implemented in Matrix Laboratory 8.1 (R2013b). Performance of MPCA was compared with GLSA to determine the effectiveness of ATBMS on the grading of students’ answers in COM 317 and COM 325 courses, in terms of Pearson correlation coefficient(r) and coefficient of determination (R 2 ). These performance evaluation shows that MPCA is a better feature extraction techniques.
Comparing the fixed and the time varying parameter model in forecasting the inflation rate of Malaysia

Inflation is one of the most substantial elements in the analysis of a country’s economy. It describes the general increment of the price of goods and services in a country. The interaction between inflation and economic growth are closely related. A high inflation rate would bring a negative impact on a country. Economists agreed that price stability is a prerequisite for a country’s rapid growth and important for a balanced development mechanism. Great economic decision can be made with a good forecasting values associated with low forecast errors. This research aimed to identify the best model in forecasting inflation using the Consumer Price Index (CPI) data as an indicator of inflation. Three models were considered based on univariate and multivariate time series. Models based on the fixed parameter and the time-varying parameter were also considered. The best model chosen is based on out-of-sample forecasting framework starting from January 2009 until December 2012, while the model was fitted for period January 1997 to December 2008. The starting point of comparison is Naive Model acting as benchmark while the other models, Autoregressive Distributed Lag (ADL), and Time-Varying Parameter (TVP) model were carried out. The results showed that, TVP Model outperformed all the other competed models. Thus, it is the best model to forecast inflation in Malaysia.
SYNTHESIS, CHARACTERIZATION, AND APPLICATION OF THE MESOPOROUS MOLECULAR SIEVE SR-MCM-41 IN THE REMOVAL OF NAPHTHENIC ACIDS FROM A MODEL MIXTURE OF AVIATION KEROSENE BY ADSORPTION

The MCM-41 mesoporous molecular sieves have attracted a great deal of interest due to their application in adsorption processes, like in the removal of naphthenic acids, which are directly responsible for acidity and corrosiveness of petroleum. The objective of this work is to explore the synthesis, characterization, and application of Sr-MCM-41 in removing naphthenic acids from a model mixture of aviation kerosene (jet fuel) by adsorption. The adsorbent was characterized and a factorial design was used to determine the best operating conditions. The characterization results indicated that the incorporation of strontium did not compromise the mesoporous structure, and that the material showed a good degree of organization. The factorial design indicated that the highest adsorption capacity was obtained for an acid concentration of 7wt. %, an adsorbent amount of 0.01g, and a stirring speed of 420rpm. This study demonstrates the potential of this adsorbent for the removal of the naphthenic acids that are present in jet fuel.
Dynamic Multi-Objective Navigation in Urban Transportation Network Using Ant Colony Optimization

Intelligent Transportation System (ITS) is one of the most important urban systems that its functionality affects other urban systems directly and indirectly. In developing societies, increasing the transportation system efficiency is an important concern, because variety of problems such as heavy traffic condition, rise of the accident rate and the reduced performance happen with the rise of population. Route finding and navigation are two effective tools to reduce the pressure on the transportation system. Better navigation methods can reduce the traffic concentration in specific areas. In most of the cases, transportation networks are changing through time and they don’t have a static status. On the other hand, different users consider different objectives when they want to move through the transportation network. So, this paper proposed a novel method to solve dynamic navigation and route finding problem while considering different objectives. This new method is based on multi-objective Ant Colony Optimization (ACO). Experiments are designed in a simulated network and results are compared with static navigation in single-objective and multi-objective mode. Results indicated that the proposed method is performing very accurate in finding the optimal paths. Also the proposed method for dynamic navigation is performing better than the static navigation. It has improved the trip duration of the 80% of the altered routes and decreased the trip duration of some experiments up to 50%. These results indicate that the proposed method has the ability to solve multi-objective dynamic navigation in urban transportation systems in the presence of high rate traffic information.
Mapping coupled open innovation processes from Activity Theory framework

Organisations have started to adopt open innovation processes to supplement their internal competencies and resources. Adoption of these processes assist them in keeping up with the pace of technology and protecting their competitive advantage in the market. Despite the significance of open innovation processes, there are few studies focusing on them. The purpose of this study is mapping coupled open innovation processes to contribute to the field of open innovation. The case study research was set up to explore how organisations undertake coupled open innovation processes from the perspective of employees working in a small-medium sized enterprise. The Activity Theory was used as a research framework. The research findings revealed how the importing and exporting mechanisms of coupled processes. The findings are discussed to fill the knowledge gaps in the existing literature and help design management academia and practice identify future work areas.
A neural network system for estimation of the geomagnetic field disturbance

The paper presents our software system for estimation the degree of disturbance of the geomagnetic field. The system automatically classifies registered geomagnetic data and determines the state of the geomagnetic field for the current day. The results of approbation of the system showed the prospect of its application in problems of estimation and prediction of space weather. The system allows us to allocate weak disturbances of the geomagnetic field, which may occur before strong magnetic storms.
Reproductive Aging: Perimenopause and Psychopathological Symptoms

The female reproductive axis essentially comprises of the hypothalamic-pituitary- ovarian axis and the mullerian-derived structures. The reproductive axis ages to a non-functional state (menopause) much earlier than the other organ systems do, at a time when a woman is otherwise healthy. The basis of reproductive senescence in women is oocyte depletion in the ovary. Perimenopause is defined by menstrual cycle and endo - crine changes, such as disturbed ovarian-pituitary-hypothalamic feedback relationships, inaccurate estrogen levels, and decreased progesterone levels. Many psychopathological changes can take place, but most commonly women experience mild cognitive impairment, anxiety, irritability, mood swings, and depression. Estrogens influence depression and depressive-like behavior through interactions with neurotropic factors and through an influence on the serotonergic system.
Granger causality in dynamic binary short panel data models

Strict exogeneity of covariates other than the lagged dependent variable, and conditional on unobserved heterogeneity, is often required for consistent estimation of binary panel data models. This assumption is likely to be violated in practice because of feedback effects from the past of the outcome variable on the present value of covariates and no general solution is yet available. In this paper, we provide the conditions for a logit model formulation that takes into account feedback effects without specifying a joint parametric model for the outcome and predetermined explanatory variables. Our formulation is based on the equivalence between Granger's de nition of noncausality and a modi cation of the Sims' strict exogeneity assumption for nonlinear panel data models, introduced by Chamberlain (1982) and for which we provide a more general theorem. We further propose estimating the model parameters with a recent xed-e ects approach based on pseudo conditional inference, adapted to the present case, thereby taking care of the correlation between individual permanent unobserved heterogeneity and the model's covariates as well. Our results hold for short panels with a large number of cross-section units, a case of great interest in microeconomic applications.
An Antenna Like Form "Hand" of the Man on Five Bands Wlan/Wimax/Hiper LAN2/C-Band Applications

In this paper, a new form of printed antenna for a five-band C-band applications is presented. The proposed antenna consists of six simple rectangles, whose geometry resembles all the “hand” of man. By varying the geometries and dimensions of these six rectangles, five different resonance modes can be effectively created for five distinct frequency bands, respectively. The overall dimension of the proposed antenna can reach 45 × 50 × 2.54 mm3. The simulated results show that the presented antenna is adapted to 4.6/5.24/5.6/6.7/7.3 GHz five bands which are applied to C-band.