Miracle-dz/UniFAR-FTUs huggingface dataset:
Using sequence similarity to predict the function of biological sequences.

In this thesis we examine issues surrounding the development of software that predicts the function of biological sequences using sequence similarity. There is a pressing need for high throughput software that can annotate protein or DNA sequences with functional information due to the exponential growth in sequence data. In Chapter 1 we briefly introduce the molecular biology and bioinformatics that is assumed knowledge, and the objectives for the research presented here. In Chapter 2 we discuss the development of a method of comparing competing designs for software annotators, using precision and recall metrics, and a benchmark method referred to as Best BLAST. From this we conclude that data-mining approaches may be useful in the development of annotation algorithms, and that any new annotator should demonstrate its effectiveness against other approaches before being adopted. As any new annotator that utilises sequence similarity to predict the function of a sequence will rely on the quality of existing annotations, we examine the error rate of existing sequence annotations in Chapter 3. We develop a new method that allows for the estimation of annotation error rates. This involves adding annotation errors at known rates to a sample of reference sequence annotations that was found to be similar to query sequences. The precision at each error rate treatment is determined, and linear regression then used to find the error rate at estimated values for the maximum precision possible given assumptions concerning the impact of semantic variation on precision. We found that the error rate of curated annotations based on sequence similarity (ISS) is far higher than those that use other forms of evidence (49% versus 13-18%, respectively). As such we conclude that software annotators should avoid basing predictions on ISS annotations where possible. In Chapter 4 we detail the development of GOSLING, Gene Ontology Similarity Listing using Information Graphs, a software annotator with a design based on the principles discovered in previous chapters. Chapter 5 concludes the thesis by discussing the major findings from the research presented.
Cordierite II : The role of CO 2 and H 2 O B . A

Polarized single-crystal Raman spectra at room temperature and 5 K and polarized infrared spectra at room temperature were obtained from four natural cordierites of different compositions in the wave number region of the CO2 symmetric stretching vibration and the H2O stretching vibrations. The CO2 molecules are preferentially aligned parallel to the X axis, consistent with results from Xray diffraction and optical studies. The CO2 contents of six natural cordierites, previously studied by powder IR methods (Vry et al. 1990), were determined via Raman spectroscopy. A linear relationship was found between CO2 content and the Raman intensity ratio of the normalized CO2 stretching mode against a Si-O stretching mode. This permits a determination of the CO2 contents in cordierite using micro-Raman measurements. The internal stretching modes between 3500 and 3800 cm were assigned to various types of H2O molecules occurring in the channel cavity. Three different orientations of H2O molecules that have no interactions with alkali cations located at 0,0,0 in the sixmembered tetrahedral rings are classified in a static model as Class I H2O molecules. The HH vector for two of them is parallel to [001], and their molecular planes lie in the XZ and YZ crystal planes. The third type has its HH vector directed along the X axis and its molecular plane lies in the XZ plane. Two other types of H2O have interactions with the alkali cations located at 0,0,0. They are classified as Class II H2O. They distinguish themselves by the number of H2O molecules bonded to the alkali atoms. The formation of weak hydrogen bonds at low temperatures may explain the appearance of some Raman stretching modes below 200 K. The H2O molecules of Class I-Type I/II are probably dynamically disordered about [001] hopping between orientations in the XY and XZ planes down to 5 K. Class II H2O may also be disordered, but more measurements are required to describe its dynamic behavior. *E-mail: nmp46@rz.uni-kiel.de
A Novel Enhanced Positioning Trilateration Algorithm Implemented for Medical Implant In-Body Localization

Medical implants based on wireless communication will play crucial role in healthcare systems. Some applications need to know the exact position of each implant. RF positioning seems to be an effective approach for implant localization. The two most common positioning data typically used for RF positioning are received signal strength and time of flight of a radio signal between transmitter and receivers (medical implant and network of reference devices with known position). This leads to positioning methods: received signal strength (RSS) and time of arrival (ToA). Both methods are based on trilateration. Used positioning data are very important, but the positioning algorithm which estimates the implant position is important as well. In this paper, the proposal of novel algorithm for trilateration is presented. The proposed algorithm improves the quality of basic trilateration algorithms with the same quality of measured positioning data. It is called Enhanced Positioning Trilateration Algorithm (EPTA). The proposed algorithm can be divided into two phases. The first phase is focused on the selection of the most suitable sensors for position estimation. The goal of the second one lies in the positioning accuracy improving by adaptive algorithm. Finally, we provide performance analysis of the proposed algorithm by computer simulations.
Nonlinear Diffusion Filtering for Classifying Image

Image processing is a signal processing for which input is an image output of an image may be characteristics or parameter related to the image . Under this concept the image classification which has both foreground and background feature of an image with edges, lines flow lines structures in foreground and inhibits smooth clutter in background. In this paper the saliency driven nonlinear diffusion filtering algorithm is used and the image is classified using multiscale information fusion in original image, they are applied with diffusion process and finally mapped with saliency . Here the background image is considered as noise which improves image classification and finally they are removed using nonlinear diffusion filtering this process makes the classification of images in an more accurate formation . At larger scales the background is filtered out and the foreground is preserved . Various experimental test has been conducted for image classification using multiscale space such as PASCAL2005 and oxford17 flower dataset with high classification rates
The analysis of repeated measurements: A quantitative research synthesis

Meta-analytic methods were used to summarize the results of Monte Carlo studies investigating the Type I error and power properties of various univariate and multivariate procedures for testing within-subjects effects in split-plot repeated measures designs. Results indicated that all test procedures were generally robust to violations of the multivariate normality assumption, but varied in terms of their Type I error control when the sphericity assumption was not satisfied. For balanced designs, the usual F and e adjusted F tests (Greenhouse & Geisser, 1959) were generally robust to moderate degrees of covariance heterogeneity, whereas the multivariate procedures were slightly more affected by departures from this assumption. When the design was unbalanced, however, all procedures were sensitive to the presence of heterogeneous covariance matrices, particularly when testing the within-subjects interaction effect. Power rates varied little as a function of assumption violations. However, this finding may be due to the restricted range of many of the variables included in the meta-analysis of the power data as well as the strong and overshadowing relationship between the degree of non-centrality and power rates. For balanced designs, the use of either an e-adjusted univariate or a multivariate approach is recommended; for unbalanced designs, researchers should consider adopting one of several robust alternatives that have recently been suggested in the literature.
Jovicentric latitude effect on the bKOM radio emission observed by Ulysses/URAP

During 1994 and into 1996, Ulysses was at distances of 5 AU or more from Jupiter and travelling from south to north of the ecliptic plane. At these distances, the jovian broadband radio emission (bKOM) was only received occasionally by the Unied Radio and Plasma Experiment (URAP) on board the Ulysses spacecraft. The signals were generally weak and much care is needed to nd and to identify the events. It is found that the visibility and polarization of the bKOM appears to depend upon the jovicentric latitude of Ulysses (DUly) at the time of observation. All but two of the bKOM events observed when Ulysses was at northern jovicentric latitudes were predominantly right-hand (RH) polarized while events recorded when the spacecraft was at southerly jovicentric latitudes were all predominantly LH polarized, the change taking place somewhere between 3:9 DUly 8:8, close to 0 jovimagnetic latitude. Compared with previous observations of the bKOM, made by spacecraft considerably closer to Jupiter, the present occurrence probabilities were lower for the LH polarized events although the distribution was similar. For the RH polarized events, however, the distribution was dierent, the so-called main peak being absent or, perhaps, displaced towards a larger central meridian longitude. It is shown that, in a two-dimensional model, if cyclotron maser emission in a dipole magnetic eld is assumed for Jupiter, the detection of bKOM at a given frequency by a spacecraft at a specied location, determines a unique value of for an assumed value of L and a given eld model. This is not true for a three-dimensional model. The present results raise questions on the application of the cyclotron maser theory to bKOM emission.
State Estimation for Game AI Using Particle Filters

Artificial intelligence for games is a challenging area in that it has tight processing constraints and must be fun to play against or with. Some of the latest techniques from robotics research are likely to be applicable to game AI. In particular, we propose that particle filters are well suited to the game AI problem. In this paper, we introduce particle filters, justify their use in game AI, and show the results implemented in a simple game developed using the crystal space game engine.
Dimensional accuracy optimization of the micro-plastic injection molding process using the Taguchi design method

Plastic injection molding is an important field in manufacturing industry because there are many plastic products that produced by injection molding. However, the time and cost required for producing a precision mold are the most troublesome problems that limit the application at the development stage of a new product in precision machinery industry. This study presents an approach of manufacturing a hard mold with microfeatures for micro-plastic injection molding. This study also focuses on Taguchi design method for investigating the effect of injection parameters on the dimensional accuracy of Fresnel lens during plastic injection molding. It was found that the dominant factor affecting the microgroove depth of Fresnel lens is packing pressure. The optimum processing parameters are packing pressure of 80 MPa, melt temperature of 240 °C, mold temperature of 90 °C and injection speed of 50 m/s. The dimensional accuracy of Fresnel lens can be controlled within ±3 µm using the optimum level of process parameters through the confirmation test. The research results of this study have industrial application values because electro-optical industries are able to significantly reduce a new optical element development cycle time. DOI: http://dx.doi. org/10.5755/j01.ms.21.2. 5864
Revolatilisation of soil-accumulated pollutants triggered by the summer monsoon in India

Abstract. Persistent organic pollutants that have accumulated in soils can be remobilised by volatilisation in response to chemical equilibrium with the atmosphere. Clean air masses from the Indian Ocean, advected with the onset of the summer monsoon, are found to reduce concentrations of hexachlorocyclohexane (HCH), dichlorodiphenyltrichloroethane (DDT) and its derivatives, endosulfan and polychlorinated biphenyls (PCBs) in air at a mountain site (all in the range 5–20 pg m−3) by 77 %, 70 %, 82 % and 45 %, respectively. The analysis of fugacities in soil and air suggest that the arrival of summer monsoon triggers net volatilisation or enhances ongoing revolatilisation of the now-banned chemicals HCH and PCBs from background soils in southern India. The response of the air–soil exchange was modelled using a regional air pollution model, WRF-Chem PAH/POP. The results suggest that the air is increasingly polluted during transport by the south-westerly monsoon winds across the subcontinent. Using a multidecadal multimedia mass balance model, it is found that air–surface exchange of HCH and DDT have declined since the ban of these substances from agriculture, but remobilisation of higher chlorinated PCBs may have reached a historical high, 40 years after peak emission.
The Choice of Monetary Regime: Fiscal Implications

The article examines how government spending is determined in a closed economy where the nominal wage is pre-set through contracts and the wage setters have perfect foresight regarding subsequent policy decisions. The monetary regime affects government spending because: (i) with a pre-set nominal wage, a given change in government spending has different effects on employment and inflation under different monetary regimes, and (ii) the authorities’ inclination to expand government spending is affected by the inflation rate which depends on the monetary regime. If the costs related to inflation are high, a comparison between monetary regimes suggests that welfare is highest under nominal income targeting where the nominal income target is determined to bring about price stability.
The global mindset of entrepreneurs and international performance of StartUps : a systematic literature review

Abstract: Today the need to sustain competitive conditions for companies together with the increasing complexity of the global market and a rise in the interconnectivity among individuals as well as organizations are known factors contributing to the high importance of a global mindset (GM). As defined by Gupta and Govindarajan (2002) a “Global mindset combines an openness to and awareness of diversity across cultures and markets with a propensity and ability to synthesize across this diversity. “ This paper aims to provide a full systematic review of the global mindset of an individual outlining the relevant concepts and addressing the following research question. “How does the global mindset of an entrepreneur affect the international performance of a starting company? ” This literature review identifies a positive relationship between the global mindset of an entrepreneur and the international performance of a small firm respectively a startup.
Non-linear additives to the Brooks-Herring screened potential

In the present work we calculate the non-linear additives to the Brooks-Herring electrostatic screened potential. We also calculate the corresponding additives to the ionized impurity scattering mobility in n-GaAs over a wide range of doping levels and temperatures. It is demonstrated that the additives to the mobility changes its value up to 50%. The most dramatically mobility is changed near the Mott transition, when the doping level is about $10^{14}$ - $2\times10^{16}$ cm$^{-3}$ and temperature is below 50 K. Also, the results allow us to conclude that the non-linear additives break the cross section symmetry with respect to the sign of the charge of the scattering center.
Chemical Profile of the Mesocarp of three Varieties of Terminalia catappa L (Almond Tree)

Five mineral composition (macro element) and proximate composition of the mesocarp of the three common varieties of Terminalia catappa were investigated using standard analytical procedure with a view to evaluating their nutritional potential. The proximate composition of the fruit samples revealed the moisture content 4.81±0.01 to 7.48±0.002, Crude protein; 5.21±0.08 to 6.94±0.08, Crude fibre; 17.27±0.01 to 55.77± 0.004, Crude Fat; 3.66±0.001 to 7.66±0.002, ash; 2.05±0.01 to 7.14±0.01 and nitrogen free extract 25.77±0.04 to 54.79±0.02. The mineral content of the three samples indicated that P, Na, Ca, Mg and K are the most abundant of the five minerals examined. The study revealed that both the chemical composition and proximate composition are comparable with other fruits. Also, the three varieties do not vary much from each other. The representative anti nutritional factorstannis and phytate was reported present at concentrations that may not pose health problems for human consumption. The study recommended that the three varieties are good for human consumption like other fruits.
Current-Limiting DC/DC Power Converters

A new nonlinear control framework that guarantees the desired regulation (voltage, current, or power) with an inherent current-limiting capability for different types of dc/dc power converters is presented in this brief. This framework is based on the idea of applying a virtual resistance in series with the inductor of the converter, which changes according to nonlinear dynamics that depend on the control task. Without requiring any knowledge of the converter inductance, capacitance, or the load, the controller structure is appropriately formulated for each power electronic system based on the nonlinear model of the converter. Using input-to-state stability theory, it is proven that the inductor current remains below a maximum value at all times, even during transients, independently of load and input voltage variations. This offers an inherent current-limiting property of the converter under faults, input voltage sags, and unrealistic power demands without the need of external protection mechanisms, saturation units, or current limiters. Extensive simulation and experimental results validate the effectiveness of the proposed control scheme and its current-limiting property, with comparison to traditional control strategies.
A Theorem Prover Backed Approach to Array Abstraction

We present an extension to an on-demand abstraction framework, which integrates deductive verification and abstract interpretation. Our extension allows for a significantly higher precision when reasoning about programs containing arrays. We demonstrate the usefulness of our approach in the context of reasoning about secure information flow. In addition to abstracting arrays that may have been modified, our approach can also keep full precision while adding additional information about array elements which have been only read but not modified.
Aerobic exercise program on blood lipids in women between 40 and 55 years old

Objective: Evaluate the effect of a physical activity program on the blood lipid profile in women between 40 and 55 years old. Methods: 7 female participants from the city of Chihuahua, Chihuahua, Mexico, on a program of moderateintensity physical activity lasting 4 months, evaluated before and after the implementation of the program in the variables of total cholesterol, triglycerides, LDL and HDL, as well as the atherogenic index and cardiovascular risk. Data were analyzed with Student t test for related samples with a significance level of 0.05. Results: Total cholesterol levels and LDL in samples collected after physical exercise program decreased significantly compared to those collected before the implementation of the exercise program, while statistically, HDL and triglycerides did not show significant changes. The atherogenic index and cardiovascular risk showed positive trends, thus favoring that moderate intensity aerobic exercise decreased cardiovascular risk in women reaching the perimenopause period.
An Improved One Round Authenticated Group Key Agreement

많은 인증 키 합의 프로토콜이 제안되어 왔다. 여전히 안전한 인증키 합의 프로토콜을 설계하는 것이 이슈화되고 있다. 이 논문에서는, 전형적인 ID 기반의 암호화 시스템의 공개키와 개인키 뿐 아니라 하나 더 많은 공개키와 개인키를 사용하는 원 라운드 인증 그룹키 합의 프로토콜을 제안한다. 제안된 프로토콜은 Shi et al. 프로토콜과 He et al. 프로토콜을 수정 보완하였다. 제안된 프로토콜의 공개키 개인키와 서명 과정은 그들의 프로토콜보다 단순하다. 제안한 프로토콜은 안전하며, 통신과 계산 비용 면에서 그들의 프로토콜보다 더 효율적이다.
CONCEPT AND IMPORTANCE OF STATISTICAL REGIONS ON THE EXAMPLE OF BOSNIA AND HERZEGOVINA

Bosnia and Herzegovina is the first country in Europe for unemployment and percentage of inhabitants who do not live in the country where they were born. These data require a very serious approach with a wide range of reasons for these phenomena especially from geographical point of view. Thus, it is necessary to critically investigate its regional structure. The reason for this is knowledge of the real economic and geographical differences that exist between individual regions. In order to achieve this, it is necessary to abandon the concept of the existing physiognomic or economic-geographic regions, since they do not reflect the real dynamics of major social changes and do not allow for the perspective of the future economic and geographical development of Bosnia and Herzegovina. The starting hypothesis of this paper is based on the creation of statistical regions, which will be separated based on the NUTS methodology for the level of political-administrative units, reflecting its constitutional structure. Implementation of statistical regions will soon be set up as an imperative for BiH on the road to EU accession, as already done by other countries.
Research on Correlations between Academicians’ Levels of Organisational Commitment and Their Intention to Quit Their Job: A Comparison of State and Foundation Universities

This study aims to demonstrate the correlations between academicians’ organisational commitment and their intention to resign from their job. For this purpose, first the concepts of organisational commitment and quitting the job were considered within the framework of relevant literature, and then hypotheses for the correlations were developed.276 lecturers in total 198 of whom were teaching in faculties or departments of sport sciences and 78 of whom were teaching in foundation universities were included in this study.A personal information form in addition to Turnover Intention Scale developed by Rosin and Korabick (1995) and adapted into Turkish by Tanriover (2005), and Organisational Commitment Scale developed by Meyer and Allen (1997) and adapted into Turkish by Varol (2010) were used for our purposes.In conclusion, it was found that academicians’ intention to quit their job was low but their organisational commitment levels were high and that they had emotional commitment most—which was followed by normative commitment and continuance commitment. Lecturers employed in foundation universities had higher levels of intention to quit their job than those employed in state universities. Lecturers working in state universities had higher levels of emotional commitment than those working in foundation universities. It was also found that lecturers’ rate of quitting the job was reduced as their levels of emotional and normative commitment increased in both state and foundation universities.