Miracle-dz/UniFAR-FTUs huggingface dataset:
Weighted Gene Co-expression Network Analysis Identi�es Speci�c Modules and Hub Genes Related to Alzheimer's Disease

Background: Alzheimer's disease (AD) is the most common cause of dementia. We used Weighted gene co-expression network (WGCNA) to construct a gene co-expression network to analyze AD-related genes and �nd biomarkers of AD. An AD RNA chip expression data was downloaded from NCBI's GEO database. The construction of the gene co-expression network was completed by the WGCNA package of R software. Functional annotation of genes was performed by gene ontology and Kyoto Encyclopedia Gene and Genomic pathway analysis. Results: We used WGCNA to construct a co-expression network of 2713 differential expression genes in 56 AD patients and 44 healthy controls, and �nally identi�ed 7 gene modules, ranging in size from 32 to 1619. Correlation analysis of gene modules and disease showed that the turquoise module and the brown module were signi�cantly associated with age. The turquoise module has obvious biological signi�cance. The hub gene in this module is ATL1, which is involved in synaptic signaling and MAPK signaling pathways. The hub gene in the Brown module is CIRBP, which may be related to the regeneration of synapses. Conclusions: This study used WGCNA, an e�cient system biology algorithm, to analyze the hub genes related to AD for the �rst time and provide a new direction for the future research of AD.
Rehabilitation System in 3D Natural Scenes

—In this paper, we present a rehabilitation system for patients who suffer wrist injury. The idea to use computer vision for rehabilitation is not new; however, the method proposed in this paper differs signiﬁcantly from previously proposed methods. We propose a 3D hand model evaluation method that can recognize soft and elaborate representations of hand motions. In practice, hand motion recognition in an unconstrained environment is a difﬁcult task because of intra-class variation. It becomes more challenging when we lose depth data because of projection. However, the emergence of commercial depth sensors, such as Microsoft Kinect and SoftKinect, has overcome this issue. In previous work, we used the data of tip and joints, which was sufﬁcient for simple motion; however, in complex motion, such as grabbing and rotation, it is not possible to track and estimate the depth of tips and joints. In this work, we modify the algorithm that is proposed by Rodriguez et al and Hadﬁeld. Instead of using 2D data, we extend the method for 3D data, and for elevation information, Hidden Markov Model (HMM) is used.
Survey on Performance Estimate Fashions for Information Retrieval System

: The peoples are used to go for library to search any kind of information by using card catalogue method. From 20 century onwards peoples are started to search information from large stored database system. th The searching of information system can also be called as information retrieval system. The efficiency of all information retrieval system has been estimate under some fashion. Today’s many efficiency estimate fashions have been used. And their performance efficiency estimate fashions have been divided into two class’s one is Non-Graphical Estimate Fashions and Graphical Estimate Fashions. In this paper, performance estimates for information retrieval system have been reviewed for both Non-Graphical (Precision, Recall, F1-score, MAP) and Graphical Fashions (ROC Curve, AUC and nDCG).
Automatic Video Genre Classification Using Audio and Video Features

: Video genre identification is the process of identifying the genre of the video. Today, video analysis is a key issue in digital video application including video retrieval and video annotation. In our approach videos are initially classified into commercials, news, movies, sports, music, cartoons and documentaries by computing the visual features and audio features. Video features such as color moment, edge histogram, wavelet feature and local binary pattern which are extracted from each key frame of the video. Audio feature such as Mel Frequency Cepstral Coefficient is extracted from the audio signal of the video. Classification is performed using Support Vector machine. In our work total of 150 videos have been used for classifying the system.
Large-scale signiﬁcance testing of the full Moon eﬀect on deliveries

As mentioned by many authors, the belief that the number of women going into labor and giving birth is higher during the full Moon is widespread, even among the medical staﬀ. However, various statistical studies of the daily number of births along the Moon cycle, mostly on rather short periods (from 40 to 60 lunar cycles, i.e. less than 5 years), conclude to contradictory results, which strengthens the need for a powerful analysis on a large amount of data. We propose a large-scale signiﬁcance testing analysis of the full Moon eﬀect in each lunar cycles from 1968 until 2005 based on the daily numbers of births in France. A multiple testing methodology (see [13] and [7]) which accounts for dependence among lunar cycles is used to guarantee both a high overall power and a control of the False Discovery Rate at a low level. Results conﬁrm the existence of a small yet marked full Moon eﬀect: on average, one cycle per year shows a signiﬁcantly larger birth rate during a 6-days period around the Full moon day than the other days of the cycle, which is four times more than for a comparison between any other 6-days period and the rest of the cycle.
Characterization of genes involved in galactooligosaccharide metabolism in 1 Lactobacillus reuteri and their ecological role in the gastrointestinal tract 2

Strains of Lactobacillus reuteri are commonly used as probiotics due to 23 their demonstrated therapeutic properties. Many strains of L. reuteri also utilize the 24 prebiotic, galactooligosacchride (GOS), providing a basis for formulating synergistic 25 synbiotics that could enhance growth or persistence of this organism in vivo . In this 26 study, in-frame deletions mutants were constructed to characterize the molecular basis 27 of GOS utilization in L. reuteri ATCC PTA- 6475. Results suggested that GOS transport 28 relies on a permease encoded by lacS , while a second unidentified protein may function 29 as a galactoside transporter. Two  -galactosidases, encoded by lacA and lacLM, 30 sequentially degrade GOS oligosaccharides and GOS disaccharides, respectively. 31 Inactivation of lacL and lacM resulted in impaired growth in the presence of GOS and 32 lactose. In vitro competition experiments between the wild type and  lacS  lacM strains 33 revealed that the GOS-utilizing genes conferred a selective advantage in media with 34 GOS but not glucose. GOS also provided an advantage to the wild type strain in 35 experiments in gnotobiotic mice, but only on a purified, no sucrose diet. Differences in 36 cell numbers between GOS-fed mice and mice that did not receive GOS were small, 37 suggesting that carbohydrates other than GOS were sufficient to support growth. On a 38 complex diet, the  lacS  lacM was outcompeted by the wild-type in gnotobiotic mice, 39 suggesting that lacL and lacM are involved in the utilization of alternative dietary 40 carbohydrates. Indeed, growth of the mutants was impaired in raffinose and stachyose, 41 which are common in plants, demonstrating that α-galactosides may constitute alternate 42 substrates of the GOS pathway. IMPORTANCE This study shows that lac genes in L. reuteri encode for hydrolases 44 and transporters necessary for metabolism of GOS, as well as α-galactoside substrates. 45 Co-culture experiments with the wild type strain and a gos mutant clearly demonstrated 46 that GOS utilization confers a growth advantage in medium containing GOS as the sole 47 carbohydrate source. However, that the wild type strain also outcompeted the mutant in 48 germ-free mice suggested that GOS genes in L. reuteri also provide a basis for 49 utilization of other carbohydrates, including α-galactosides, ordinarily present in the 50 diets of humans and other animals. Collectively, our work provides information on the 51 metabolism of L. reuteri in its natural niche in the gut and may provide a basis for the 52 development of synbiotic strategies. 53
Machine Learning Fake News Classi�cation with Optimal Feature Selection

Nowadays, information is published in newspapers and social media while transmitted on radio and television about current events and speci�c �elds of interest nationwide and abroad. It becomes di�cult to explicit what is real and what is fake due to the explosive growth of online content. As a result, fake news has become epidemic and immensely challenging to analyze fake news to be veri�ed by the producers in the form of data process outlets not to mislead the people. Indeed, it is a big challenge to the government and public to debate the situation depending on case to case. For the purpose several websites were developed for this purpose to classify the news as either real or fake depending on the website logic and algorithm. A mechanism has to be taken on fact-checking rumors and statements, particularly those that get thousands of views and likes before being debunked and refuted by expert sources. Various machine learning techniques have been used to detect and correctly classi�ed of fake news. However, these approaches are restricted in terms of accuracy. This study has applied a Random Forest (RF) classi�er to predict fake or real news. For this prpose, twenty-three (23) textual features are extracted from ISOT Fake News Dataset. Four best feature selection techniques like Chi2, Univariate, information gain and Feature importance are used for selecting fourteen best features out of twenty-three. The proposed model and other benchmark techniques are evaluated on the dataset by using best features. Experimental �ndings show that, the proposed model outperformed state-of-the-art machine learning techniques such as GBM, XGBoost and Ada Boost Regression Model in terms of classi�cation accuracy.
Low Annexin A1 level in HTLV-1 infected patients might be a potential 1 biomarker for the clinical progression and diagnosis of HAM/TSP 2

34 Background: Human T-lymphotropic virus 1 (HTLV-1) is etiologically associated with the 35 chronic inflammatory neurodegenerative disease HTLV-1-associated myelopathy/tropical 36 spastic paraparesis (HAM/TSP) Annexin A1 (AnxA1) is an anti-inflammatory protein with 37 proposed neuroprotective and anti-neuroinflammatory functions. We hypothesized that 38 ANXA1 gene expression may be dysregulated in HTLV-1-infected HAM/TSP patients. 39 Methods: This study involved 37 individuals infected with HTLV-1, including 21 40 asymptomatic (AS) carriers and 16 with HAM/TSP, and a control group of 30 individuals 41 negative for HTLV-1 and HTLV-2. For AS HTLV-1-positive and HAM/TSP patients, 42 ANXA1 and formyl peptide receptor ( FPR1 , FPR2 and FPR3 ) expression and HTLV-1 43 proviral load (PVL) in peripheral blood cells were evaluated by real-time quantitative PCR 44 (qPCR), and plasma AnxA1 levels were determined by enzyme-linked immunosorbent 45 assay (ELISA). 46 Results: ANXA1 gene expression was increased in the AS group compared with the 47 HAM/TSP and control groups, but the differences were not statistically significant. FPR1 48 gene expression was higher in patients with HTLV-1 than in controls (AS, p = 0.0032; 49 HAM/TSP, p < 0.0001). Plasma AnxA1 levels were higher in the AS group than in the 50 HAM/TSP group ( p = 0.0045), and PVL was higher in patients with HAM/TSP than in AS 51 individuals ( p = 0.0162). The use of a combined ROC curve using Annexin 1 levels and 52 proviral load significantly increased the sensitivity and specificity to predict progression to 53 HAM/TSP (AUC = 0.851 and AUC = 0.937, respectively, to AUC=1,000). 54 Conclusions: Our results suggest that AnxA1 may be dysregulated in HAM/TSP patients. 55 Serological detection of AnxA1 in association with proviral load may provide a prognostic biomarker for HTLV-1-associated neurodegenerative disease.
Determinants of Chinese tourism to Australia: a dynamic demand analysis

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A patch that imparts unconditional stability to certain explicit integrators for SDEs

This paper proposes a simple strategy to simulate stochastic differential equations (SDE) arising in constant temperature molecular dynamics. The main idea is to patch an explicit integrator with Metropolis accept or reject steps. The resulting `Metropolized integrator' preserves the SDE's equilibrium distribution and is pathwise accurate on finite time intervals. As a corollary the integrator can be used to estimate finite-time dynamical properties along an infinitely long solution. The paper explains how to implement the patch (even in the presence of multiple-time-stepsizes and holonomic constraints), how it scales with system size, and how much overhead it requires. We test the integrator on a Lennard-Jones cluster of particles and `dumbbells' at constant temperature.
JUXTAPOSING VISUAL LAYOUTS – AN APPROACH FOR SOLVING ANALYTICAL AND EXPLORATORY TASKS THROUGH ARRANGING VISUAL INTERFACES

Interactive visualization and visual analytics systems enables solving a variety of tasks. Starting with simple search tasks for outliers, anomalies etc. in data to analytical comparisons, information visualizations may lead to a faster and more precise solving of tasks. There exist a variety of methods to support users in the process of task solving, e.g. superimposing, juxtaposing or partitioning complex visual structures. Commonly all these methods make use of a single data source that is visualized at the same time. We propose in this paper an approach that goes beyond the established methods and enables visualizing different databases, data-sets and sub-sets of data with juxtaposed visual interfaces. Our approach should be seen as an expandable method. Our main contributions are an in-depth analysis of visual task models and an approach for juxtaposing visual layouts as visual interfaces to enable solving complex tasks.
Optimization of power electronic systems using ripple correlation control: a dynamic programming approach

The ripple correlation control (RCC) method is used for optimization of nonlinear systems with power electronic interfacing. The method takes advantage of the small signal ac information contained within the ripple signals to generate localized gradient information. This gradient information is used by the control loop to move the operating point to some optimal condition. This paper demonstrates how an analytical point of view on RCC can be formulated by re-casting the method in a dynamic programming framework. Specifically, RCC is formulated as a gradient ascent (descent) method. Stability and steady state error of the RCC method are also considered in some detail.
Optimistic calculations about the Witten--Reshetikhin--Turaev invariants of closed three-manifolds obtained from the figure-eight knot by integral Dehn surgeries

I calculate optimistically asymptotic behaviors of the WRT SU(2) invariants for the three-manifolds obtained from the figure-eight knot by p-surgeries with p=0,1,2,. ,10, from which one can extract volumes and the Chern-Simons invariants of these closed manifolds. I conjecture that this also holds for general closed three-manifolds.
ArticleAdolescents’ Concerns

The global outbreak of COVID-19 has brought changes in adolescents’ daily routines, restrictions to in-person interactions, and serious concerns about the situation. The purpose of this study was to explore COVID-19-related concerns, daily routines, and online peer activities during the confinement period according to sex and age groups. Additionally, the relationship of these factors and optimism along with adolescents’ frustration was examined. Participants included 1246 Spanish students aged 16–25 years old (M = 19.57; SD = 2.53; 70.8% girls). The results indicated that the top concern was their studies. COVID-19-related concerns, daily routines, and online peer activities varied by sex and age. Findings also revealed moderate to high levels of frustration, which were associated with adolescents’ main concerns, online peer activities, maintaining routines, and optimism. The results are discussed in light of their implications in designing support programs and resources to reduce the psychological impact of COVID-19 on adolescent mental health.
Turmeric Spent Flour: Value Addition to Breakfast Food

The study has focused on turmeric spent utilization for preparing of value added products. Dosa also an Indian pan fried product is a power packed healthy breakfast or snack and prepared by raw rice (Oryza Sativa) and black gram (Vignamungo L.). Turmeric Spent Flour (TSF) was added to the batter by replacing rice at 10, 25 and 50% on the weight basis. The batter was fermented at room temperature and was analyzed for its microbial and physicochemical properties. During the fermentation, the batter increased to twice its volume at 28±2 ºC. The initial pH of the batter was 6.1±0.3 and after 12hrs, it lowered to 4.9±0.6. The fermented batter showed, L*, a*, b* and ΔE values of 74.6 to 90.7, -4.2 to 2.8, 9.8 to 57.7 and 3.11 to 48.0, respectively. Sensory evaluation of TSF dosa (up to 25%) added was comparable in sensory characteristics with the control.
Charm production in double parton scattering at the LHC

We calculate $c\bar{c}c\bar{c}$ and $b\bar{b}b\bar{b}$ production cross section in Double Parton Scattering (DPS) processes at the energies of LHC. In our calculation we include saturation effects in the gluon distribution. For charm production, our results confirm the prediction of a previous work in which saturation effects were neglected, namely that at the energies of LHC charm production in DPS processes becomes comparable with charm production in SPS. We also estimate the production of $c\bar{c}b\bar{b}$ in DPS. Our results indicate that at $\sqrt{s}=14$ TeV half of the total amount of bottom produced in proton-proton collisions comes from this process.
Analysis of the Repli Pla Lcation Region of a Mycobacterial smid, pMSC262

We determined the nucleotide sequence of a DNA fragment which contains the replication region of pMSC262, a Mycobacterium scrofulaceum plasmid used to construct the Mycobacterium-Escherichia coli shuttle vector. The complete sequence of the fragment contained 2,504 bp with an overall G+C content of 69.8%. By deletion analysis, we found that the minimum length required for plasmid replication in M. bovis BCG was about 1.6 kb. Within this region, several open reading frames (ORFs) and a putative replication origin (ori) were identified by computer analysis. One ot the ORFs, ORF2, which encodes a putative 28.9-kDa basic protein with characteristics of DNA-binding proteins, appeared to be involved in replication of the plasmid in BCG. By separation of ORF2 and the putative ori region, it was revealed that the relative locations of ORF2 and the putative ori region are likely important for replication in BCG. No DNA or amino acid homologies were found between this replication region and that ofI pAL5000, another mycobacterial plasmid used for vector plasmid construction. In addition, we found that this replicon did not lead to replication in E. coli and was compatible in BCG with pAL5000-derived vector plasmid pYUB75 (R. G. Barletta, D. D. Kim, S. B. Snapper, B. R. Bloom, and W. R. Jacobs, J., J. Gen. Microbiol.
EFFECTIVE BANDWIDTH FOR SELF-SIMILAR TRAFFIC IN ATM NETWORK

This paper proposes a new approach to estimate the effective bandwidth for self-similar traffic in ATM network. In this approach we use the tail distribution of queue length based on FBM model. This approach is derived from the inequalities for Millsâ€™ ratio. Then a comparison with Norros and Trinh&Miki schemes are analysed. The results demonstrate reasonable agreement between numerical and simulation results and between all schemes. Their bandwidth estimation tends closer for CLP improvement.
Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Earnings momentum in international markets Earnings momentum in international markets

This paper examines the profitability of earnings momentum strategies based on analyst forecast revisions in eleven international equity markets. While analyst forecast revisions exhibit persistence in all countries, the profitability of trading strategies based on these revisions varies. Specifically, earnings momentum yields significant profits in Australia, Canada, France, Germany, Hong Kong, and the United Kingdom, but not in Malaysia, South Korea, Japan, Singapore, or Taiwan. Interestingly, price momentum exists only in those countries where earnings momentum is profitable. In general, markets with high levels of corruption (low investor protection) exhibit weak momentum. Collectively, these findings suggest that the momentum phenomenon is related to information dissemination mechanisms within a country.
with certain homotopy types

J. Milnor [8] and S. Smale [11] have proved that the oriented differentiable homotopy $(4k-1)$-spheres $(k>1)(i$ . $e$ . $(4k-1)$-manifolds which have the homotopy type of the $(4k-1)$-sphere), which are boundaries of $\pi$ -manifolds, are homeomorphic to the natural sphere $S^{4k-1}$ and their diffeomorphism classes form a cyclic group $\Theta^{4k-1}(\partial\pi)$ of a finite order under the connected sum operation. It is known (cf. [8]) that in general any 7 or 11 dimensional closed ( $i$ . $e$ . compact unbounded) oriented differentiable $\pi$ -manifold always bounds a z-manifold. Thus the group $\Theta^{7}$ (resp. $\Theta^{11}$ ) of diffeomorphism classes of oriented differentiable homotopy 7-spheres (resp. ll-spheres) coincides with