Miracle-dz/UniFAR-FTUs huggingface dataset:
Novel Compact Harmonic - Rejected Ring Resonator Based Bandpass Filter

In this paper, a novel compact ring resonator based bandpass filter with a second harmonic rejection capability is proposed. The proposed bandpass filter uses a stepped-impedance open stubs and a stepped-impedance ring resonator at feeding lines. Stepped-impedance open stubs are used to obtain a better rejection level in the second harmonic-frequency band. Ring resonator’s radius is calculated by examining and solving the eigenvalue equation of the ring resonator. Firstly, Sierpinski second order curve is used to achieve size reduction of about 66% and 71% compared to conventional microstrip ring bandpass filter inner and outer areas, respectively. Sierpinski curve is chosen because of its symmetry and its suitability for orthogonal feeding lines and open stubs incorporation without using any additional space. Referring to resonant rejection value,the proposed first Sierpinski structure −15 dB simulated fractional bandwidth is 5.6% at 1.505 GHz and with rejection of −0.16 dB. Transmission zeros at 2.25 GHz and 3.78 GHz are obtained. Secondly, stepped-impedance open stubs are added to the resonator ports to add another transmission zero at 3.84 GHz. At 2.9 GHz, second harmonic band, the proposed structure achieves rejection of −6.7 dB instead of −1.7 dB for the conventional one. The proposed structure −15 dB simulated fractional bandwidth is 3% at 1.42 GHz. Innovation is achieved by the simplicity of inserting the transmission zeros, controlling zeros rejection values, incorporating stubs and orthogonal feeding lines in the same resonator area and reasonable power capability of the proposed structure. The proposed bandpass filter’s prototype is fabricated using FR4 material, and a good agreement is found between simulated and measured results for return loss and rejection values. The proposed structure is very suitable for L-band applications.
Inhibition of nitric oxide production by Solanum melongena and Solanum macrocarpon on RAW 264.7 cells

Nitric oxide (NO) plays an important role in the physiology and pathophysiology of disease. Overproduction of NO is associated with chronic inflammatory diseases and cancers. Several species of Solanaceae have been used traditionally to treat inflammatory-related diseases. To analyse the possible anti-inflammatory properties of these species, the Griess assay was used to evaluate the effects of various Solanum melongena and Solanum macrocarpon extracts on NO production in lipopolysaccharide (LPS)-stimulated RAW 264.7 cells. The cytotoxicity of the extracts on the cell line was tested using the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay. Extracts that significantly inhibited NO production were further evaluated for inducible nitric oxide synthase (iNOS) expression by Western blot. Thin-layer chromatography was used to determine the major compounds in the extracts. All extracts significantly inhibited NO production in LPS-stimulated RAW 264.7 cells in a dose-dependent manner. At 200 µg/ml, ethyl acetate extract of S. macrocarpon showed the highest NO inhibition of 81%, with a median inhibitory concentration (IC50) value of 44.78 ± 0.04 µg/ml. The viability of cells treated with the extracts was greater than 80%. Ethanol and ethyl acetate extracts of S. melongena, together with ethanol, hexane and ethyl acetate extracts of S. macrocarpon, reduced iNOS expression significantly. At 200 µg/ml, ethyl acetate extract of S. macrocarpon inhibited iNOS protein expression by 79%. Phytochemical analysis of the extracts showed that fluorescent, double-bond compounds, phenols, flavonoids and terpenoids were mainly present in the extracts. Taken together, the results show the potential of ethanol and ethyl acetate extracts of S. melongena, and hexane and ethyl acetate extracts of S. macrocarpon, as agents for the prevention and treatment of inflammatory-related diseases.
Towards long rangeautonomousnavigation

Thefunctionalitiesrequired to endowa rover with the capacityto autonomouslygenerateandexecutemotions are nowwell understoodin theroboticcommunity. But theability to achievelongrangemissions, in bothspace and time,can not be reducedto a simplesequenceof small motions. Besidesthe integration of high level planning, schedulingand missionexecutionmonitoring processes, this ability calls for the developmentof new functionalities. Thispaperpresentour progresses onthedevelopmentof such functionalities,namelylong rangelocalizationandnavigationstrategies.
Global Regularity to the Navier-Stokes equations for a class of Large initial Data

We prove that for initial data of the form \begin{equation}\nonumber u_0^\epsilon(x) = (v_0^h(x_\epsilon), \epsilon^{-1}v_0^n(x_\epsilon))^T,\quad x_\epsilon = (x_h, \epsilon x_n)^T, n \geq 4, \end{equation} the Cauchy problem of the incompressible Navier-Stokes equations on $\mathbb{R}^n$ is globally well-posed for all small $\epsilon > 0$, provided that the initial velocity profile $v_0$ is analytic in $x_n$ and certain norm of $v_0$ is sufficiently small but independent of $\epsilon$.
Chance or Ability? The Efficiency of the Football Betting Market Revisited

The extent of market efficiency induced by rational behaviour of market participants is central for economic research. Many economists have already examined sports-betting markets as a laboratory to better understand trading behaviour and efficiency of stock prices while avoiding to jointly test the hypothesis of a correct capital market model. The following paper will investigate whether the European football betting market fulfils the efficiency paradigm introduced by Fama (1970) with a unique dataset allowing for an investigation of the German betting market in view of its regulatory changes recently. The analysis contributes to the literature by conducting a variety of empirical strategy including rational expectation frameworks and an ordered choice model to stress the ex post market performance from a weak and semi-strong form perspective. In view of existing market distortions as taxes, switching costs of changing betting providers and limitation in competition, the results of the analysis are indicative of a rational market equilibrium surprisingly close to the efficiency benchmark.1
Empowerment, Organizational Commitment, Organization Citizenship Behavior and Firm Performance

The broad objective of this study was to establish the mediating and moderating effect of employee commitment and organizational citizenship behaviour on the relationship between empowerment and firm performance. The review of literature provided conceptual and empirical gaps that formed the basis of the conceptual hypotheses. The study adopted a quantitative approach and a survey that targeted a manufacturing firm in Kenya was utilized. A survey questionnaire was the tool of data collection and was distributed to the 96 non-managerial employees of a manufacturing firm. Out of the 96 questionnaires issued randomly, 86 were returned, indicating a 91.6% response rate. The reliability test showed that study dimensions were reliable. Inferential statistics was used to analyse data. Results showed that employee empowerment had a positive and significant influence on organizational performance; organizational commitment mediated the relationship between employee empowerment and organization performance; and OCB did not have a moderating effect.
A Review of Converter Topologies for Battery Charging Applications in Plug-in Hybrid Electric Vehicles

The subsequent rapid increase in the Hybrid Electric Vehicles (HEVs) in the past one decade, has led to the significant intensification of one particular type of Electric Vehicles (EVs) known as Plug-in hybrid electric vehicles (PHEVs). An expeditious gain in PHEVs is due to the clean environmental considerations and secondly because of the ability of recharging its own energy storage (battery) from an off-board power sources peculiarly a grid. The most prominent issue in these vehicles is the method by which the charging of the batteries should be done and secondly the increasing demand of power required due to the rapid demand of electric power necessitated by PHEVs. This paper surveys the state of the art of existing converter topologies which is indispensable for charging the PHEVs battery charging schemes. This paper will make an attempt as an assessment to give a detailed review of different power electronic topologies used in PHEVs such as bi-directional AC-DC and DC-DC converters which fulfill these requirements. Further, an inference would be drawn by discussing the best choice of topology to be adopted for the efficient and more reliable applications in PHEVs.
Use of otolith Sr : Ca ratios to study the riverine migratory behaviors of Japanese eel Anguilla japonica.

To understand the migratory behavior and habitat use of the Japanese eel Anguilla japonica in the Kaoping River, SW Taiwan, the temporal changes of strontium (Sr) and calcium (Ca) contents in otoliths of the eels in combination with age data were examined by wavelength dispersive X-ray spectrometry with an electron probe microanalyzer. Ages of the eel were determined by the annulus mark in their otolith. The pattern of the Sr:Ca ratios in the otoliths, before the elver stage, was similar among all specimens. Post-elver stage Sr:Ca ratios indicated that the eels experienced different salinity histories in their growth phase yellow stage. The mean (±SD) Sr:Ca ratios in otoliths beyond elver check of the 6 yellow eels from the freshwater middle reach were 1.8 ± 0.2 x 10 -3 with a maximum value of 3.73 x 10 -3 . Sr:Ca ratios of less than 4 x 10-3 were used to discriminate the freshwater from seawater resident eels. Eels from the lower reach of the river were classified into 3 types: (1) freshwater contingents, Sr:Ca ratio <4 x 10 -3 , constituted 14 % of the eels examined; (2) seawater contingent, Sr:Ca ratio 5.1 ± 1.1 x 10-3 (5%); and (3) estuarine contingent, Sr:Ca ratios ranged from 0 to 10 x 10 -3 , with migration between freshwater and seawater (81 %). The frequency distribution of the 3 contingents differed between yellow and silver eel stages (0.01 < p < 0.05 for each case) and changed with age of the eel, indicating that most of the eels stayed in the estuary for the first year then migrated to the freshwater until 6 yr old. The eel population in the river system was dominated by the estuarine contingent, probably because the estuarine environment was more stable and had a larger carrying capacity than the freshwater middle reach did, and also due to a preference for brackish water by the growth-phase, yellow eel.
CADMIUM AVAILABILITY AND ACCUMULATION BY LETTUCE AND RICE

Among the toxic elements, Cd has received considerable attention in view of its association with a number of human health problems. The objectives of this study were to evaluate the Cd availability and accumulation in soil, transfer rate and toxicity in lettuce and rice plants grown in a Cd-contaminated Typic Hapludox. Two simultaneous greenhouse experiments with lettuce and rice test plants were conducted in a randomized complete block design with four replications. The treatments consisted of four Cd rates (CdCl2), 0.0; 1.3; 3.0 and 6.0 mg kg-1, based on the guidelines recommended by the Environmental Agency of the State of Sao Paulo, Brazil (Cetesb). Higher Cd rates increased extractable Cd (using Mehlich-3, Mehlich-1 and DTPA chemical extractants) and decreased lettuce and rice dry matter yields. However, no visual toxicity symptoms were observed in plants. Mehlich-1, Mehlich-3 and DTPA extractants were effective in predicting soil Cd availability as well as the Cd concentration and accumulation in plant parts. Cadmium concentration in rice remained below the threshold for human consumption established by Brazilian legislation. On the other hand, lettuce Cd concentration in edible parts exceeded the acceptable limit.
Word Sense Disambiguation in Bahasa Indonesia Using SVM

Currently, the use of Indonesian language on the internet is growing rapidly and many of the existing sentences contain ambiguous words. In Natural Language Processing the problem to find out the meaning of an ambiguous word is called Word Sense Disambiguation. Word sense disambiguation is a problem about how we know the meaning of an ambiguous word in a given sentence. Many uses if we can solve word sense disambiguation problems such as can be used for text classification, text clustering and for machine translation. In this paper, we propose the use of SVM algorithm with TF-IDF as the feature extraction method and Wikipedia as the training data to solve the WSD problem of Indonesian language. The results of our proposed method reach an accuracy level of 0.877.
Secondary metabolites production through biotechnological intervention: a review.

The plants used in the phyto-pharmaceutical preparations are obtained mainly from the natural growing areas. With the increasing demand for the crude drugs, the plants are being overexploited, threatening the survival of many rare species. In addition, agriculture land decreasing day by day due to the real estate, industrialization, and roads for the betterment of human beings. To maintain the required demand of the important secondary metabolites and their sources; several research institutions and pharmaceutical industries using advanced biotechnological tools, this includes culturing of plant cells, genetic manipulation aiming to restore the germplasm, insertion of interest of genes for the production of important active principle. The present review article covering the in vitro micropropagation and production of selected secondary metabolites through biotechnological intervention viz. Alliin, Artimisnin, Podophyllotoxin, and Taxol.
Entry-wise Matrix Completion from Noisy Entries

We address the problem of entry-wise low-rank matrix completion in the noisy observation model. We propose a new noise robust estimator where we characterize the bias and variance of the estimator in a finite sample setting. Utilizing this estimator, we provide a new robust local matrix completion algorithm that outperforms other classic methods in reconstructing large rectangular matrices arising in a wide range of applications such as athletic performance prediction and recommender systems. The simulation results on synthetic and real data show that our algorithm outperforms other state-of-the-art and baseline algorithms in matrix completion in reconstructing rectangular matrices.
Intercultural learning as a strategic response to socio-cultural differences in global software development

In this paper, we conceptualize the relationships between software developers’ socio-cultural differences, global distribution, intercultural learning and interpretation of information in the organization of GSD. Our discussions are centred on the idea that the combination of global distribution and different socio-culturally-based perceptions will lead to interlocutors’ heterogeneous interpretation information. Such interpretation contributes largely to several organizing problems that have been reported in the literature on distributed work – e.g. conflicts, uncertainties, misattributions, ethnocentrisms and mistrust. We propose intercultural learning as a strategic response for dealing with different perceptions and hence for moderating the heterogeneity of information interpretation. On the methods to attain intercultural learning, we propose the creation of avenues for informal interactions, the increment of the frequency of interactions, and the creation of common contexts for enriching information exchanged in remote interactions.
High prevalence of dementia among community dwelling older adults in receipt of state funded home care packages: implications for health care planning

Objectives The majority of people living with dementia in Ireland reside in their own homes, some supported by formal or informal home care. This audit aimed to estimate the prevalence of dementia and suspected cognitive impairment (CI) among older adults, 65+ years, in receipt of formal home care (domiciliary care) in a defined health service area in North Dublin. A secondary objective of the audit was to explore factors associated with dementia or CI in this cohort. Methods A cross-sectional audit was conducted on all clients aged 65+ years actively receiving publicly funded home care packages (HCPs) during May 2016 in Healthcare Service Executive CHO9 Dublin North Central. A total of 935 urban community dwelling older adults were included in the study [mean age 83.7 (s.d. 7.4) years and 65% female]. Basic socio-demographic and health data were extracted from common summary assessment reports. Service users were categorised as having (a) dementia if a diagnosis of dementia or cognitive decline which impacts on independent living, was documented by a health professional or (b) suspected CI where a validated cognitive screening tool was applied and the score was indicative of mild CI. Results Overall, the estimated prevalence of dementia and suspected CI was 37.1% and 8.7%, respectively. Factors significantly associated with dementia and suspected CI were higher dependency and home care hours, communication difficulty and being non-self-caring (p<0.001). Notably, half (51.6%) of those with either dementia or suspected CI group lived alone. Conclusions Our findings suggest a high prevalence dementia among HCP users, highlighting a need and opportunity for dementia-specific approaches to support older people in their homes.
Mathematical Modelling and Simulation of Combined Trajectory Paths of a Seven Link Biped Robot

The humanoid robot is designed like human for doing various tasks and adapting to human’s environment. Next generation humanoids are expected to successfully coexist within human environments. This imposes very difficult challenges to researchers to produce truly dynamic movements to maintain balance under unexpected changes of paths. There are vast majority of studies on single trajectory paths of the biped robot (Bagheri & Mousavi, 2007; Mousavi & Bagheri, 2007) while combined trajectory paths have not received much attention. In this chapter, we have hence focused on generation of combined trajectory paths with the aid of mathematical interpolation. Zarrugh and Radcliffe (1997) have considered a biped robot with respect to a walking pattern by recording human kinematic data while McGeer (1990) have focused on passive walking of a biped robot generated by gravitational and inertial components. Silva and Machado (1999) have focused on actuator power and energy by the adaptation of walking parameters. The stability of the robot is connected to the biped robot’s tendency to tip over. Zheng and Shen (1990) have considered a method of gait synthesis with respect to static stability while Chevallereau (1998) have focused on dynamic stability with the aid of a low energy reference trajectory definition. Takanishi et al. (1985), Shih et al. (1990), Hirai et al. (1998), and Dasgupta and Nakamura (1999) have considered the robot dynamic stability with respect to the walking process based on the zero moment point (ZMP) method. With respect to the various conditions of combined trajectory paths, Shih (1997, 1999), Huang et al. (2001) utilized methods to generate the trajectory paths of the robot where they carried out simulation of the combined trajectory paths. The current chapter focuses on the inverse kinematic and dynamic methods for providing the robot combined trajectory paths in order to obtain a smooth motion of the robot. This procedure avoids the link’s velocity discontinuities of the robot in order to mitigate the occurrence of impact effects and also helps to obtain a suitable control process. The main contribution of this work consists of a new method for simulation of a seven link biped robot over combined trajectory paths in order to study the effects of hip height over the torso’s modified motion. The process has been performed based on the system given breakpoints and either third-order spline or Vandermonde matrix interpolation method. 10
Exploiting Compressive System Identification for Multiple Line Outage Detection in Smart Grids

Due to system complexity and structural variations, real time power line outage detection (POD) and localization is a critical and challenging monitoring goal for modern smart grid (SG). Online monitoring of power lines status plays a major role in system-wide cascading blackout prevention. In this work, we aim to address the multiple POD problems by exploiting the compressive system identification (CSI) - a time efficient approach in complex network analysis. We consider a power network (PN) as a single graph and the mathematical formulation of POD is initialized using the DC power-flow model and graph theory concepts. The POD sparse recovery problem (POD-SRP) reported earlier is improved and generalized in case of large-scale multiple outages. The technical challenges from sparse recovery perspective are addressed through developing new SRP solvers. Moreover, a new sparse-based mathematical formulation for POD is termed as ‘Binary-POD-SRP’ to specifically address the signal dynamic range issue. Finally, using the IEEE standard test-beds, it is discussed how the inherent challenges within large-scale multiple-outages can be solved by applying these new techniques and formulations.
Automatic Event Trigger Word Extraction in Chinese Event

As a basic unit of knowledge representation and an important means for information organization, event has drawn growing number of people’s attention, the research of event identification and extraction in natural language processing field is an important research topic in information extraction area, the recognition and extraction of event trigger word plays a decisive role in event identification and extraction. In this paper, the authors make experiment in Chinese Event Corpus CEC, and present a method of extracting event trigger word automatically that combines extended trigger word table and machine learning. The experiment result shows that the F-score of extracting event trigger word. can reach 71.2% by using this method.
Impact of self-attraction and loading on the annual cycle in sea level

The annual exchange of water between the continents and oceans is observed by GPS, gravimetry, and altimetry. However, the global average amplitude of this annual cycle (observed amplitude of ∼8 mm) is not representative of the effects that would be observed at individual tide gauges or at ocean bottom pressure recorders because of self-attraction and loading effects (SAL). In this paper, we examine the spatial variation of sea level change caused by the three main components that load the Earth and contribute to the water cycle: hydrology (including snow), the atmosphere, and the dynamic ocean. The SAL effects cause annual amplitudes at tide gauges (modeled here with a global average of ∼9 mm) to vary from less than 2 mm to more than 18 mm. We find a variance reduction (global average of 3 to 4%) after removing the modeled time series from a global set of tide gauges. We conclude that SAL effects are significant in places (e.g., the south central Pacific and coastal regions in Southeast Asia and west central Africa) and should be considered when interpreting these data sets and using them to constrain ocean circulation models.