Miracle-dz/UniFAR-FTUs huggingface dataset:
Scholars Journal of Arts, Humanities and Social Sciences

Anthropology, Archeology, Business Administration, Communication, Criminology, Economics, Education, Government, Linguistics, International Relations, Political Science, Geography, History, Law, Psychology, Health, Economy, Trade, Arts, History, Literature, Religion, Marriage, Family Life, Philosophy, Neuroscience, Sociology, Demography, Library Science, Journalism, Environmental Studies, Development Studies, Information Science, Media Studies, Market Research, Languages, Acrobatics, Busking, Geospatial Information Science, Comedy, Dance, Magic, Music, Opera, Film, Juggling, Marching Arts, Brass Bands, Theatre, Visual Arts, Drawing, Painting, Studies, Multicultural, Gender, Minority Studies, Women studies, Social Work , and Social Welfare.
Analysis and simulation of spiral inductor fabricated on silicon substrate

In this paper, parameter extraction methodology of the inductor (L) fabricated on silicon is presented. Firstly, formula for parameter extraction of the target equivalent circuit is proposed. Because of its simplicity and physically-based background, all the model parameters can be extracted without any optimization procedure. By the verification of S-parameter and RF-noise with the equivalent circuit solved by the proposed formula, its modeling capability has been proven up to 20 GHz. Further investigation on model parameters' geometrical dependency was made, and clear layout dependencies have been shown based on the proposed methodology.
The Oxford Handbook of Management Information Systems: Critical Perspectives and New Directions

Management Information Systems (MIS) play a crucial role in an organization's operations, accounting, decision-making, project management, and competitive advantage. The Oxford Handbook of Management Information Systems takes a critical and interdisciplinary view of the increasing complexity of these systems within organizations, and the strategic, managerial, and ethical issues associated with the effective use of these technologies.The book is organized into four parts:- Part I: Background- Part II: Theoretical and Methodological Perspectives in MIS- Part III: Rethinking Theory in MIS Practice- Part IV: Rethinking MIS Practice in a Broader ContextThe Handbook provides an introductory background to the discipline and a methodological and philosophical framework for discussion of key topics, before exploring the issues associated with MIS in practice and considering the broader context and future agenda of research in light of such concerns as sustainability, ethics, and globalization. Bringing together international scholars to focus on the theory and practice of MIS, this handbook provides a comprehensive resource for academics and research students in the fields of MIS, IS, Organizational Behaviour, and Management in general.
Denoising Baseline Wander Noise from Electrocardiogram Signal using Fast ICA with Multiple Adjustments

The electrocardiogram (ECG) is widely utilitarian for prognostic of heart diseases. Quality and utilization of ECG signal is affected by different noises and hence it is very difficult to measure important parameter to know the exact condition of heart. Baseline wander is one type of noise which is normally seen in ECG signal. This artifact severally limits the usefulness of recorded ECG signals and thus need to be removed for better clinical appraisal. Independent component analysis (ICA) is a statistical technique for estimating a multidimensional random vector into components that are statistically not dependent from each other. This paper proposed the implementation of fast ICA with multiple adjustments for removing baseline wander noise effect from ECG. Simulation results demonstrate that the proposed method is better in denoised the baseline wander noise from ECG signal. General Terms ECG, ECG Denoising, Baseline Wader Noise, Independent Component Analysis
[Efficacy of protein-free calf blood extract ophthalmic gel for diffuse punctate corneal epithelial defects].

OBJECTIVE To evaluate the clinical efficacy of protein-free calf blood extract ophthalmic gel for diffuse punctate corneal epithelial defects. METHODS 36 patients (36 eyes) with diffuse punctate corneal epithelial defects were enrolled between Oct. 2008 and Apr. 2009 in outpatient clinic from Eye Ear Nose and Throat Hospital of Fudan University. Patients were randomized divided into protein-free calf blood extract ophthalmic gel group (the test group, 19 eyes) and recombinant bovine basic fibroblast growth factor ophthalmic gel group (the control group, 17 eyes). The drugs were delivered in both groups 4 times per day, one drop each time in the 14 days duration. Corneal staining, the tear break-up time, the Schirmer value and visual acuity were evaluated on the pre-delivery day and the post-delivery day 14. RESULTS On day 14, both the test group and control group had a significant decrease from baseline in corneal staining (the test group t = 5.7083, P = 0.0000 and the control group t = 4.5019, P = 0.0004, respectively). And improvements of corneal staining in the test group was more significant than that in the control group (t = 2.2712, P = 0.0296). Improvements were seen in BUT values in both group on day 14, as compared to baseline (the test group Z = 2.226, P = 0.0260 and the control group Z = 2.527, P = 0.0115, respectively). However, there was no significant difference between groups (Z = 1.336, P = 0.1815). As to the Schirmer value, there were neither difference within groups from baseline (the test group t = 0.4207, P = 0.6790 and the control group t = 1.1255, P = 0.2770, respectively). Nor between groups (t = 0.9830, P = 0.3325). And no obvious changes from baseline in visual acuity were observed in both groups (the test group Z = 1.897, P = 0.0578 and the control group Z = 1.786, P = 0.0741, respectively). CONCLUSION The efficacy of protein-free calf blood extract ophthalmic gel is prior to recombinant bovine basic fibroblast growth factor ophthalmic gel in patients with diffuse punctate corneal epithelial defects.
MyTaxa: an advanced taxonomic classifier for genomic and metagenomic sequences

Determining the taxonomic affiliation of sequences assembled from metagenomes remains a major bottleneck that affects research across the fields of environmental, clinical and evolutionary microbiology. Here, we introduce MyTaxa, a homology-based bioinformatics framework to classify metagenomic and genomic sequences with unprecedented accuracy. The distinguishing aspect of MyTaxa is that it employs all genes present in an unknown sequence as classifiers, weighting each gene based on its (predetermined) classifying power at a given taxonomic level and frequency of horizontal gene transfer. MyTaxa also implements a novel classification scheme based on the genome-aggregate average amino acid identity concept to determine the degree of novelty of sequences representing uncharacterized taxa, i.e. whether they represent novel species, genera or phyla. Application of MyTaxa on in silico generated (mock) and real metagenomes of varied read length (100–2000 bp) revealed that it correctly classified at least 5% more sequences than any other tool. The analysis also showed that ∼10% of the assembled sequences from human gut metagenomes represent novel species with no sequenced representatives, several of which were highly abundant in situ such as members of the Prevotella genus. Thus, MyTaxa can find several important applications in microbial identification and diversity studies.
Theoretical approach to the correlations of a classical crystal.

We present the first theoretical approach to the angular-average of the two-body correlation function $\tilde g(r)$ for simple solids. It is based on three sum rules for $\tilde g(r)$: the compressibility and virial equations and the normalization. We apply the theory to determine this correlation function for the case of the FCC solid phase of hard spheres. The agreement with simulation data is excellent over all the density range. The application to other simple systems is discussed. The approach opens a new route to perturbation theories for simple solids.
Alveolar macrophage elimination in vivo is associated with an increase in pulmonary immune response in mice

A single intracheal dose of liposome-encapsuled dichloro-methylene- diphosphonate resulted in the elimination of alveolar macrophages (AM) from the lung, creating a model to study the in vivo role of AM in the pulmonary immune response. Using intratracheally administered trinitrophenyl-keyhole limpet hemocyanin (TNP-KLH), the kinetics of the response, the location and number of TNP-specific antibody-forming cells, and the different Ig classes of the antibodies produced were studied in AM-depleted animals. The results show that AM elimination has a dramatic effect on the pulmonary immune responses against TNP- KLH. An increase in APC in lung-associated lymph nodes and a prolongation of the response is found, as well as an introduction of APC in lung tissue. In both experimental groups, the majority of the TNP-specific antibodies produced was IgG, followed by IgA and IgE, while very few IgM antibodies could be detected. We conclude from these results that AM are likely to play a role in controlling the pulmonary immune response in a suppressive way, thereby limiting the possible damage caused by severe immune responses in lung tissue.
Design of Adaptive Sliding Mode Controllers for Linear Systems via Output Feedback

This paper considers the problem of designing adaptive output feedback sliding mode controllers for a class of linear systems with matched external disturbances, where the norm bound of the external disturbance is unknown. First, we derive a new design approach of linear sliding surface in the singular system framework, and propose an adaptive output feedback sliding mode controller such that the motion of the closed-loop system is uniformly ultimately bounded stable. Second, to improve the transient performance, a memory-based adaptive output feedback sliding mode controller is also proposed. Finally, an illustrative example is utilized to demonstrate the design procedures proposed in this paper. It is shown that the memory-based adaptive output feedback sliding mode control approach provides a better transient performance.
ELF4 Is Required for Oscillatory Properties of the Circadian Clock1[W]

Circadian clocks are required to coordinate metabolism and physiology with daily changes in the environment. Such clocks have several distinctive features, including a free-running rhythm of approximately 24 h and the ability to entrain to both light or temperature cycles (zeitgebers). We have previously characterized the EARLY FLOWERING4 (ELF4) locus of Arabidopsis (Arabidopsis thaliana) as being important for robust rhythms. Here, it is shown that ELF4 is necessary for at least two core clock functions: entrainment to an environmental cycle and rhythm sustainability under constant conditions. We show that elf4 demonstrates clock input defects in light responsiveness and in circadian gating. Rhythmicity in elf4 could be driven by an environmental cycle, but an increased sensitivity to light means the circadian system of elf4 plants does not entrain normally. Expression of putative core clock genes and outputs were characterized in various ELF4 backgrounds to establish the molecular network of action. ELF4 was found to be intimately associated with the CIRCADIAN CLOCK-ASSOCIATED1 (CCA1)/LONG ELONGATED HYPOCOTYL (LHY)-TIMING OF CAB EXPRESSION1 (TOC1) feedback loop because, under free run, ELF4 is required to regulate the expression of CCA1 and TOC1 and, further, elf4 is locked in the evening phase of this feedback loop. ELF4, therefore, can be considered a component of the central CCA1/LHY-TOC1 feedback loop in the plant circadian clock.
In-Depth Analysis of the Arabic Version of the Felder-Silverman Index of Learning Styles

The aim of this paper is to compare learning style characteristics from two very different linguistic and cultural groups to see how homogeneous they are. The paper analyses the learning styles of a large sample of Arabic learners using the first validated Arabic version of the Felder-Silverman learning style model (FSLSM), and compares these with samples from English learners in previous studies, notably a study from Graf et al. The analysis takes the form of linear discriminant analysis, cross validated by frequencies and correlation analysis to identify representative characteristics of each learning style dimension and to determine how representative these characteristics are within the different samples. To ensure robust methodological support, the paper applies the methods used by Graf et al., therefore providing a direct comparison between the English and Arabic groups of learners from the two studies. Our results show differences between representative characteristics for the different learning cohorts, which could indicate that culture and learning environment have an influence on learning style preferences.
Content-based music recommendation using underlying music preference structure

The cold start problem for new users or items is a great challenge for recommender systems. New items can be positioned within the existing items using a similarity metric to estimate their ratings. However, the calculation of similarity varies by domain and available resources. In this paper, we propose a content-based music recommender system which is based on a set of attributes derived from psychological studies of music preference. These five attributes, namely, Mellow, Unpretentious, Sophisticated, Intense and Contemporary (MUSIC), better describe the underlying factors of music preference compared to music genre. Using 249 songs and hundreds of ratings and attribute scores, we first develop an acoustic content-based attribute detection using auditory modulation features and a regression by sparse representation. We then use the estimated attributes in a cold start recommendation scenario. The proposed content-based recommendation significantly outperforms genre-based and user-based recommendation based on the root-mean-square error. The results demonstrate the effectiveness of these attributes in music preference estimation. Such methods will increase the chance of less popular but interesting songs in the long tail to be listened to.
Phase transition of a continuous-time quantum walk on the half line

Quantum walks are referred to as quantum analogues to random walks in mathematics. They have been studied as quantum algorithms in quantum information for quantum computers. There are two types of quantum walks. One is the discrete-time quantum walk and the other is the continuous-time quantum walk. We study a continuous-time quantum walk on the half line and challenge to find a limit theorem for it in this paper. As a result, approximate behavior of the quantum walker is revealed after the system of quantum walk gets updated in long time.
The Expression of Tumor-Associated Macrophages in Papillary Thyroid Carcinoma

Background Tumor-associated macrophages (TAMs) play a tumorigenic role related to advanced staging and poor prognosis in many human cancers including thyroid cancers. Yet, a functional role of TAMs in papillary thyroid carcinoma (PTC) has not been established. The aim of this study was to investigate TAM expression in human PTC with lymph node (LN) metastasis. Methods Thirty-six patients who underwent surgery after being diagnosed with PTC with LN metastasis were included. Primary tumor tissues were immunohistochemically stained with an anti-CD68 antibody and clinical characteristics according to TAM density were evaluated. Results The TAM densities (CD68+ cells) varied from 5% to 70%, in all tumor areas, while few cells were stained in adjacent normal tissues. TAMs were identified as CD68+ cells with thin, elongated cytoplasmic extensions that formed a canopy structure over tumor cells. Comparing clinicopathologic characteristics between tumors with low (<25%) and high (25% to 70%) TAM densities, primary tumors were larger in the high density group than in the low density group (2.0±0.1 vs. 1.5±0.1; P=0.009). Conclusion TAMs were identified in primary PTC tumors with LN metastasis and higher TAM densities were related to larger tumor sizes, suggesting a tumorigenic role of TAMs in human PTCs.
Utilizing Vector Space Models for Identifying Legal Factors from Text

Vector Space Models (VSMs) represent documents as points in a vector space derived from term frequencies in the corpus. This level of abstraction provides a flexible way to represent complex semantic concepts through vectors, matrices, and higher-order tensors. In this paper we utilize a number of VSMs on a corpus of judicial decisions in order to classify cases in terms of legal factors, stereotypical fact patterns that tend to strengthen or weaken a side’s argument in a legal claim. We apply different VSMs to a corpus of trade secret misappropriation cases and compare their classification results. The experiment shows that simple binary VSMs work better than previously reported techniques but that more complex VSMs including dimensionality reduction techniques do not improve performance.
Constructing accurate, space-efficient, wireless coverage maps for vehicular contexts

Wireless connectivity for vehicles is a fast-growing market, with a plethora of different network technologies already in use. Surveys of the numbers of IEEE 802.11b/g access points in cities point to hundreds to thousands of networks within each square kilometre, with coverage areas that are not easily predicted due to the complexities of the urban environment. In order to take advantage of the diversity in wireless networks available, we need data concerning their coverage. Methods of generating such coverage maps that are accurate, space-efficient and easy to query are not a well addressed area. In this paper, we present and evaluate, using a large corpus of real-world data, novel algorithms for processing large quantities of signal strength values into coverage maps that satisfy such requirements.
Reconstructing undirected graphs from eigenspaces

In this paper, we aim at recovering an undirected weighted graph of $N$ vertices from the knowledge of a perturbed version of the eigenspaces of its adjacency matrix $W$. For instance, this situation arises for stationary signals on graphs or for Markov chains observed at random times. Our approach is based on minimizing a cost function given by the Frobenius norm of the commutator $\mathsf{A} \mathsf{B}-\mathsf{B} \mathsf{A}$ between symmetric matrices $\mathsf{A}$ and $\mathsf{B}$. In the Erd\H{o}s-R\'enyi model with no self-loops, we show that identifiability (i.e., the ability to reconstruct $W$ from the knowledge of its eigenspaces) follows a sharp phase transition on the expected number of edges with threshold function $N\log N/2$. Given an estimation of the eigenspaces based on a $n$-sample, we provide support selection procedures from theoretical and practical point of views. In particular, when deleting an edge from the active support, our study unveils that our test statistic is the order of $\mathcal O(1/n)$ when we overestimate the true support and lower bounded by a positive constant when the estimated support is smaller than the true support. This feature leads to a powerful practical support estimation procedure. Simulated and real life numerical experiments assert our new methodology.
Evaluating the Effect of Style in Information Visualization

This paper reports on a between-subject, comparative online study of three information visualization demonstrators that each displayed the same dataset by way of an identical scatterplot technique, yet were different in style in terms of visual and interactive embellishment. We validated stylistic adherence and integrity through a separate experiment in which a small cohort of participants assigned our three demonstrators to predefined groups of stylistic examples, after which they described the styles with their own words. From the online study, we discovered significant differences in how participants execute specific interaction operations, and the types of insights that followed from them. However, in spite of significant differences in apparent usability, enjoyability and usefulness between the style demonstrators, no variation was found on the self-reported depth, expert-rated depth, confidence or difficulty of the resulting insights. Three different methods of insight analysis have been applied, revealing how style impacts the creation of insights, ranging from higher-level pattern seeking to a more reflective and interpretative engagement with content, which is what underlies the patterns. As this study only forms the first step in determining how the impact of style in information visualization could be best evaluated, we propose several guidelines and tips on how to gather, compare and categorize insights through an online evaluation study, particularly in terms of analyzing the concise, yet wide variety of insights and observations in a trustworthy and reproducable manner.
Deep Learning and IACT: Bridging the gap between Monte-Carlo simulations and LST-1 data using domain adaptation

The Cherenkov Telescope Array Observatory (CTAO) is the next generation of observatories employing the imaging air Cherenkov technique for the study of very high energy gamma rays. The deployment of deep learning methods for the reconstruction of physical attributes of incident particles has evinced promising outcomes when conducted on simulations. However, the transition of this approach to observational data is accompanied by challenges, as deep learning-based models are susceptible to domain shifts. In this paper, we integrate domain adaptation in the physics-based context of the CTAO and shed light on the gain in performance that these techniques bring using LST-1 real acquisitions.
Carotid Plaque Inflammation Is Associated With Cerebral Microembolism in Patients With Recent Transient Ischemic Attack or Stroke: A Pilot Study

Background—Cerebral infarcts distal to carotid stenoses are thought to be caused by emboli from inflamed, destabilized plaques. We hypothesized that microembolic signals (MES) on transcranial Doppler will be associated with carotid plaque inflammation on 18F fluorodeoxyglucose positron-emission tomography (FDG PET) in recently symptomatic patients. Methods and Results—Sixteen patients presenting with recent (47±31 days) anterior circulation transient ischemic attack or minor stroke and 50% to 99% stenosis of the ipsilateral carotid bifurcation underwent FDG PET, high-resolution black-blood carotid MRI, and transcranial Doppler for detection of MES. Patients with potential cardiac sources of emboli or contralateral MES were excluded. Regions of interest defined on the coregistered MRI were used to measure FDG standardized uptake values (with Rousset partial volume correction) from the index and contralateral carotid plaques and artery. Ipsilateral MES were detected in 7 patients (MES+ group) and absent in 8 (MES− group). There was a significant difference in index-to-contralateral plaque standardized uptake value ratio between MES+ (median, 1.05; first to third quartile, 0.96 to 1.32) and MES− (median, 0.76; first to third quartile, 0.62 to 0.94) patients (P=0.005). The interval from symptom onset to PET and percent index carotid stenosis were not different between the 2 groups (P=0.68 and P=0.48, respectively). Conclusions—In this sample of recently symptomatic patients with carotid stenosis, an association was found between in vivo measures of plaque inflammation detected by FDG PET and the presence of transcranial Doppler MES. These findings strengthen the notion that embolic events distal to carotid stenoses are related to plaque inflammation, and FDG PET may be useful in the investigation of culprit carotid lesions.