Miracle-dz/UniFAR-FTUs huggingface dataset:
Merovingian mortuary archaeology and the making of the early Middle Ages

Clothing, jewelry, animal remains, ceramics, coins, and weaponry are among the artifacts that have been discovered in graves in Gaul dating from the fifth to eighth century. Those who have unearthed them, from the middle ages to the present, have speculated widely on their meaning. This authoritative book makes a major contribution to the study of death and burial in late antique and early medieval society with its long overdue systematic discussion of this mortuary evidence. Tracing the history of Merovingian archaeology within its cultural and intellectual context for the first time, Effros exposes biases and prejudices that have colored previous interpretations of these burial sites and assesses what contemporary archaeology can tell us about the Frankish kingdoms. Working at the intersection of history and archaeology, and drawing from anthropology and art history, Effros emphasizes in particular the effects of historical events and intellectual movements on French and German antiquarian and archaeological studies of these grave goods. Her discussion traces the evolution of concepts of nationhood, race, and culture and shows how these concepts helped shape an understanding of the past. Effros then turns to contemporary multidisciplinary methodologies and finds that we are still limited by the types of information that can be readily gleaned from physical and written sources of Merovingian graves. For example, since material evidence found in the graves of elite families and particularly elite men is more plentiful and noteworthy, mortuary goods do not speak as directly to the conditions in which women and the poor lived. The clarity and sophistication with which Effros discusses the methods and results of European archaeology is a compelling demonstration of the impact of nationalist ideologies on a single discipline and of the struggle toward the more pluralistic vision that has developed in the post-war years.
Promising Applications of Neodymium Boron Iron Magnets in Electrical Machines

Neodymium Boron Iron NdBFe magnets have high energy product with suitable magnetic and physical properties for applications in electrical machines. The design aspects of permanent magnet machines using NdBFe magnets are presented. The ranges of applica tions cover both generators and motors up to 200 kW ratings. The exciting combination with micro computers and power electronics makes the permanent magnet motors truly attractive for drives requiring smooth synchronous operation, constant torque and constant power characteristics.
1-octanol-water partitioning as a classifier of water soluble organic matters: Implication for solubility distribution

ABSTRACT Water-soluble organic matters (WSOMs) play an important role in determining magnitudes of climatic and environmental impacts of organic aerosol particles because of their contributions to hygroscopic growth and cloud formation. These processes are dependent on water solubility as well as distribution of this property in a particle, yet no method has been available to quantify such characteristics. In this study, we developed a theoretical framework to classify WSOM by 1-octanol-water partitioning that has a strong correlation with water solubility. 1-octanol-water partitioning coefficient also has a strong correlation with a traditional solid phase extraction method, facilitating interpretation of data from the technique. The theoretical analysis demonstrated that the distributions of WSOM classified by 1-octanol-water partitioning depend on (1) the volume ratio of 1-octanol and aqueous phases, and (2) extraction steps. The method was tested by using organic aerosol particles generated by smoldering of a mosquito coil, which serves as a surrogate for biomass burning particles. The WSOM extracted from the mosquito coil burning particles was classified by 1-octanol-water partitioning at different volume ratios. These solutions, including both the 1-octanol and aqueous phases, were nebulized to generate particles for measurements using an online aerosol mass spectrometer. The mass spectra indicated that highly oxygenated species tend to be highly soluble, while high molecular weight compounds are less soluble. Linear combinations of these mass spectra allowed the estimation of the mass fractions of WSOM partitioned to 1-octanol and aqueous phases, thereby facilitating the evaluation of the mass fractions of cloud condensation nuclei (CCN) active materials. © 2017 American Association for Aerosol Research
A H ybrid Approach for Breast Cancer Classification and Diagnosis

Feature selection in breast cancer disease important and risky task for further analysis. Breast cancer is the second leading reason for death among the women. Cancer starts from breast and spread to other part of the body. People are unable to identify their disease before it become dangerous. It can be cured if the disease identified at early stage. Accurate classification of benign tumours can avoid patients undergoing unnecessary treatments. Data Analytics and machine learning methods provides framework for prognostic studies by errorless classification of data instances into relevant based on the cancer severity. In this study we have purposed a prediction model by combining artificial intelligent based learning technique with multivariate statistical method. For automation of the diagnosis process data mining plays an significant role. The data sets available in different repositories are noisy in nature. This study suggests a hybrid feature selection method to be used with PCA (Principal Component Analysis) and Artificial Neural Network (ANN). Preprocessing of data and extracting the most relevant features done by PCA. The proposed algorithm is tested by applying it on Wisconsin Breast Cancer Dataset from UCI Repository of Machine Learning Databases. In classification phase 10 fold cross validation was used. The suggested algorithm was measured against different classifier algorithms on the same database. The evaluation results of the algorithm proposed have achieved better accuracy with sensitivity and F measure comparison with others and by enhancing this concept we can provide a future scope to produce sophisticated learning models for diagnosis.
The relationship between intellectual capital and value-based performance measurement variables (Case study: automotive industry companies of Iran)

Abstract. This study aimed to investigate the relationship between intellectual capital and value-based performance measurement variables of automotive companies operating in Iran in the period 2008-2014 and it was found that efficient use of material and intellectual resources is effective on value-based performance measurement indicators. Also, the efficiency of human capital impacts on economic value added, market value added and value-added cash and the efficiency of capital employed impacts only on the economic value added and has a negative impact on cash value and market value added. Finally, the efficiency of the capital structure had a negative impact on all three indicators of financial performance. Given the results of the auto industry's market in Iran, less attention to the use of financial resources in the design and creation of processes, systems and working infrastructure has bene paid. The attention of Iran's Automotive Industry Company to the human capital performance than the human capital performance employed and structural capital is greater and it can be said that for more profitability, this industry must consider all three components of intellectual capital.
Does Fiscal Decentralisation Strengthen Social Capital? Cross-Country Evidence and the Experiences of Brazil and Indonesia

With this paper I test the hypothesis that, by giving people more voice in the government decision-making process, fiscal decentralisation fosters social capital, measured in terms of interpersonal trust. Empirical evidence based on World Values Survey data and seemingly unrelated probit estimations for a cross-section of countries suggests that people living in federal and decentralised countries find it more important to have a voice in government decisions than their counterparts living in unitary and centralised countries. Provoice attitudes are, in turn, associated with greater social capital. The cross-country estimations are complemented by country-specific regressions for Brazil and Indonesia on account of these countries’ experiences with fiscal decentralisation. The results show that the cohorts of individuals that have been exposed to decentralisation are in general more provoice (and trustful of strangers in the case of Brazil) than their counterparts that have not been exposed to decentralisation. These findings are not driven by the effects of political liberalisation on people’s attitudes towards the importance of having a voice in government decisions and interpersonal trust.
A new design approach of Fuzzy Hashing schemes for Fingerprints Student Name :

Fuzzy hashing is a technique commonly used to compare two different data files which share identical sets of bits in same order, by determining the level of similarity between them. This is done by generating same hash output for the similar files (similar in terms of bits). We provide a new design approach of Fuzzy Hashing schemes, for protecting fingerprint templates of individuals from being misused by attackers when stored on servers or any Cryptographic module by introducing a binary representation for templates. The representation scheme outputs a bit string from the unique features present on human fingertip and is non-invertible, invariant to change in position of fingerprint, and captures most of the discriminatory information which can define a fingerprint. As a particular individual has unique set of features known as minutiae, the bit string generated is unique for every individual. The user is authenticated through simple hamming weight calculation between two bit strings representing fingerprint templates. We then mapped this bit string obtained from design approach to a fuzzy extractor which is used to generate strong, secure Cryptographic key that is used for encrypting personal data.
Analysis of Unslotted IEEE 802.15.4 Networks With Heterogeneous Traffic Classes

We propose a modeling framework composed of a Markov chain and the related coupling equations to evaluate the performance of unslotted IEEE 802.15. 4 wireless sensor networks based on CSMA/CA medium access control. Different from the related literature, the proposed model is able to capture heterogeneous classes of nodes with class-specific traffic generation rate and includes a more refined calculation of the probability of finding the channel busy during the carrier sensing process. The proposed model is used to derive class-specific performance figures including the probability of a successful transmission and the average delay for a successful/unsuccessful transmission.
Concentration of Heavy Metals in Molluscs and Sediment from Sei Jang Estuary

Analisis konsentrasi logam berat Pb, Cu dan Zn dalam jaringan lunak moluska ( Geloina sp dan Calliostoma sp) dan sedimen dari perairan muara Sei Jang Riau Indonesia telah dilakukan. Pada umumnya konsentrasi logam tersebut dalam jaringan lunak moluska lebih tinggi dari konsentrasi dalam sedimen, kecuali logam Pb dalam Geloina sp yang relatif lebih rendah dibanding dalam sedimen. Geloina sp mengakumulasi logam Zn lebih dari tiga kali lipat dari konsentrasi dalam sedimen, sedangkan Calliostoma sp mengakumulasi logam Cu lebih dari empatbelas kali lipat konsentrasi logam tersebut dalam sedimen. Peningkatan konsentrasi logam berat lebih terlihat jelas di sekitar kawasan bekas penambangan bauksit, galangan kapal dan di kawasan aktivitas penduduk. Akumulasi logam didapatkan lebih tinggi dalam jaringan lunak moluska yang berukuran lebih besar dimana hal ini mengindikasikan bahwa ukuran merupakan faktor penting dalam akumulasi logam berat oleh moluska. Indeks Akumulatif menunjukkan bahwa akumulasi logam tertinggi oleh moluska terjadi di kawasan bekas penambangan bauksit dan Geloina sp lebih baik dijadikan sebagai indikator untuk logam Zn sedangkan untuk logam Cu dan Pb lebih baik digunakan Calliostoma sp. Kata kunci : logam berat, sedimen, moluska, indeks akumulatif Abstract Concentrations of lead, copper and zinc were measured in molluscs (Geloina sp and Calliostoma sp) and sediment samples collected from Sei Jang estuary Riau Indonesia. Concentrations of those metals in molluscs were higher than in sediments, except for lead in Geloina sp which was slightly lower than sediments. Geloina sp accumulates zinc more than threefold of the concentration in sediment, whilst Calliostoma sp accumulates copper more than fourteen-fold of the sediment concentrations. Elevated concentrations of heavy metals in an ex-bauxite mining area, dockyard and anthropogenic activities were found. Accumulation of metals in molluscs varied between sizes where larger size accumulated more metals than smaller size indicating that size is an important consideration for metal accumulation. Average accumulative indices indicated that highest metals accumulation by molluscs occurred in the area of an ex-bauxite mining activities. These indices also suggested that Geloina sp was better to be used as indicator organism for zinc, whilst Calliostoma sp was considered to be suitable indicator organisms for the accumulation of copper and lead. Key words : heavy metals, sediment, mollusc, Accumulative index
Analysis and Design of Low Phase Noise LC Oscillator for Sub-mW PLL-Free Biomedical Receivers

This work presents the design of a low phase noise LC oscillator (LCO) for a phase locked loop (PLL)-free receiver (RX), which is used for wireless sensor nodes based healthcare applications. A detailed analysis of phase noise of free running LCO has been presented under the influence of off-chip components, which are very often inevitable in biomedical radios. Based on the analysis, a low power cross coupled LCO has been optimally designed for Medical Device Radiocommunication (MedRadio) band, which is a recommended communication band for biomedical applications. The proposed LCO has been fabricated in 180 nm CMOS technology. Measurement results show that the LCO consumes 140 micr-watt power from 1.8 V supply and exhibits a phase noise of -103 dBc/Hz at an offset of 300 kHz, which closely matches with the post layout simulation results. Measurement results also show that the proposed LCO results in significant power reduction in the PLL-free RX while achieving less than 10^-4 BER at a data rate of 200 kb/s, which is good enough for various biosignal communication.
Being Involved in Something One Should not Get Involved With: Resistance to Sexual Music Videos

Research on sexual music videos has paid little attention to the possibility that viewers can resist the sexual content of music videos and has largely ignored the processes that may explain this resistance. The present study aimed to fill these gaps in the literature. In an experiment with a one-factorial between-subjects design, 44 young women were shown either a music video with sexual content or a music video with neutral content. Subsequently, their reactions to the music video were assessed. Involvement in the sexual music video resulted in increased psychological discomfort, which in turn elicited resistance in the form of negative thoughts and affect towards the music video. Our study suggests that future research on the effects of sexual music videos should pay more attention to resistance processes.
Medium-Run Implications of Changing Demographic Structures for the Macro-Economy

While there may be an important, but transitory, cyclical component in the poor performance of the past decade, we will emphasise the secular forces: the impact of demographic structure and innovation. We draw on the empirical and theoretical work reported in Aksoy, Basso, Smith and Grasl (2015), ABSG, about the impact of changes in demographic structure on macroeconomic outcomes. This suggests that changes in age profile not only have significant implications for savings, investment, real interest rates and growth but also for innovation. The size of the effects seems plausible. For instance, if in 2015 the UK had the 1970 age structure, it would have added 0.68 percentage points to the long-run annual growth rate. The model suggests that the population ageing predicted for the next decades will tend to reduce output growth and real interest rates across OECD countries.
Title PDGF activation in PGDS-positive arachnoid cells induces meningioma formation in mice promoting tumor progression in combination with Nf 2 and Cdkn 2 ab loss Permalink

The role of PDGF-B and its receptor in meningeal tumorigenesis is not clear. We investigated the role of PDGF-B in mouse meningioma development by generating autocrine stimulation of the arachnoid through the platelet-derived growth factor receptor (PDGFR) using the RCAStv-a system. To specifically target arachnoid cells, the cells of origin of meningioma, we generated the PGDStv-a mouse (Prostaglandin D synthase). Forced expression of PDGF-B in arachnoid cells in vivo induced the formation of Grade I meningiomas in 27% of mice by 8 months of age. In vitro, PDGF-B overexpression in PGDS-positive arachnoid cells lead to increased proliferation. We found a correlation of PDGFR-B expression and NF2 inactivation in a cohort of human meningiomas, and we showed that, in mice, Nf2 loss and PDGF overexpression in arachnoid cells induced meningioma malignant transformation, with 40% of Grade II meningiomas. In these mice, additional loss of Cdkn2ab resulted in a higher incidence of malignant meningiomas with 60% of Grade II and 30% of Grade III meningiomas. These data suggest that chronic autocrine PDGF signaling can promote proliferation of arachnoid cells and is potentially sufficient to induce meningiomagenesis. Loss of Nf2 and Cdkn2ab have synergistic effects with PDGF-B overexpression promoting meningioma malignant transformation.
Bifurcations associated with a three-fold zero eigenvalue

On etudie la bifurcation et le comportement d'instabilite d'un systeme autonome non lineaire au voisinage d'un point critique compose. Le point critique est caracterise par un triple zero de la valeur propre d'indice un et le systeme est decrit par 3 parametres independants
Status of Macrobenthic Community and Its Relationships to Trace Metals and Natural Sediment Characteristics

Laizhou Bay, located in the northwest of Shandong Peninsula, has complex transitional environments between terrestrial and marine ecosystems. In the present study, a total of 122, 131, and 139 species were collected in spring, summer, and autumn 2011, respectively. Species constitutions of macrobenthos were grouped into four phyla, of which annelida were the most abundant phylum, the average biomass proportion of echinodermata was the lowest, and the proportion of important species for mollusca was the highest. The structure of the macrobenthic community showed significant differences between sites, and greater divergence was observed between the third site (S03) and other stations. The ABC plots showed that the biomass curve lay below the abundance curve, and the W-statistic value was negative. The result of the BOPA index showed that two stations had moderate ecological status in spring and that there were two heavily polluted sites and one moderately polluted site in summer. The BIO-ENV analyses indicated that the grain-size fractions together with trace metals (Hg, Pb, Zn, Cu, and Cr) could be considered as the major environmental variables influencing the macrobenthic patterns. The results together demonstrated that the macrobenthic communities in Laizhou Bay were negatively affected, perhaps by the tremendous impact of heavy metals in the sediments.
Statistical significance in high-dimensional linear models

We propose a method for constructing p-values for general hypotheses in a high-dimensional linear model. The hypotheses can be local for testing a single regression parameter or they may be more global involving several up to all parameters. Furthermore, when considering many hypotheses, we show how to adjust for multiple testing taking dependence among the p-values into account. Our technique is based on Ridge estimation with an additional correction term due to a substantial projection bias in high dimensions. We prove strong error control for our p-values and provide sufficient conditions for detection: for the former, we do not make any assumption on the size of the true underlying regression coefficients while regarding the latter, our procedure might not be optimal in terms of power. We demonstrate the method in simulated examples and a real data application.
Huffman Subcarrier Activation Pattern Activated Subcarrier Indices SIM − OFDM Mapper Variable − length Codebook Probabilities

We propose entropy coding aided adaptive subcarrier index modulated orthogonal frequency division multiplexing (SIM-OFDM). In conventional SIM-OFDM, the indices of the subcarriers activated are capable of conveying extra information. We propose the novel concept of compressing the index information bits by employing Huffman coding. The probabilities of the different subcarrier activation patterns are obtained from an optimization procedure, which improves the performance of the scheme. Both the maximum-likelihood (ML) as well as the logarithmic-likelihood ratio (LLR-) based soft detector may be employed for detecting the subcarriers activated as well as the information mapped to the classic constellation symbols. As an additional advantage of employing the variable-length Huffman codebook, all the legitimate subcarrier activation patterns may be employed, whereas the conventional SIM-OFDM is capable of using only a subset of the patterns. Our simulation results show that an improved performance is attainable by the proposed system.
Social Documentary: An interactive and evolutive installation to explore crowd-sourced media content

This paper aims to present a project in progress, an interac- tive installation for collaborative manipulation of multime- dia content. The proposed setup consists in a vertical main screen and a horizontal second screen, which is used as con- trol panel, reproducing an augmented physical desktop. Aug- mented reality markers are used to give the user an intentional way to interact with the system and a depth camera is used to estimate the users' gaze and quantify how interested they are in the displayed content, slightly modifying the video projec- tion itself. Author Keywords
Comparison of the immediate effects of modified and routine warm-ups on knee joint function and dynamic balance in athletes

Background: Warm-up before a sport activity is the most common preventive measure to reduce the incidences and severity of injuries during sport activities. This study investigated the effects of modified warm-up on balance and knee function as compared to those of routine warm-up in athletes.Methods: Twenty healthy athletes volunteered to participate in the study. At the beginning of the session, we evaluated the dynamic balance and the knee joint function variables by Star Excursion Balance Test (SEBT) and hop tests, and then the subjects did either modified or routine warm-up. Immediately after doing the warm-up, the dynamic balance and the knee joint function variables were assessed again. Each subject underwent both interventions in two sessions separated by at least 48 hours.Results: Statistically significant improvements were measured for modified warm-up compared to routine warm-up in eight directions of SEBT and four hop tests. (A: p=0.0001, AL: p=0.005, L: p=0.002, PL: p=0.005, P: p=0.005, PM: p=0.0001, M: p=0.001, AM: p=0.001) (One-leg hop test for distance: p=0.007, triple hop test for distance: p=0.003, triple crossover hop for distance: p=0.004, and 6 meter timed hop test: p=0.0001(. Conclusion: Modified warm-up showed greater impact on improving dynamic balance and some indicators of knee joint function in athletes, and it thereby provides more appropriate conditions for physical activity and reduces incidences of sport injuries.