Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of a Hotel Inventory System through Agile Methodology

This paper presents the daily inventory experience of Hotel ABC, the problems with their business operations, and the researchers’ solution to their problems. Due to the fact that Hotel ABC does not have an automated inventory system, all their data and records are manually stored in Excel sheets or just handwritten on paper. All inventory processes are generally taken care of by the accounting department which results into a bottleneck in their operations. Another issue is the delayed generation of inventory reports. In order to solve the current problems, the researchers proposed to make a hotel inventory system. The goal of the inventory system is to reduce the inaccuracy and loss of data and eliminate the bottleneck in the daily operations of the hotel. The system should be able to display the complete list of products and their respective quantities in order to avoid overstocking and understocking
X-ray spectral components observed in the afterglow of GRB 130925A X-ray

We have identiﬁed spectral features in the late-time X-ray afterglow of the unusually long, slow-decaying GRB 130925A using NuSTAR , Swift / X-Ray Telescope, and Chandra . A spectral component in addition to an absorbed power law is required at > 4 σ signiﬁcance, and its spectral shape varies between two observation epochs at 2 × 10 5 and 10 6 s after the burst. Several models can ﬁt this additional component, each with very different physical implications. A broad, resolved Gaussian absorption feature of several keV width improves the ﬁt, but it is poorly constrained in the second epoch. An additive blackbody or second power-law component provide better ﬁts. Both are challenging to interpret: the blackbody radius is near the scale of a compact remnant (10 8 cm), while the second power-law component requires an unobserved high-energy cutoff in order to be consistent with the non-detection by Fermi / Large Area Telescope.
Introductory Chapter: ASIC Technologies and Design Techniques Introductory Chapter: ASIC Technologies and Design Techniques

This chapter aims to introduce the field of application specific integrated circuits (ASICs) and provide a basic reference list of crucial design techniques for the interested student. Modern designs using complementary metal oxide semiconductor (CMOS) technologies are at the forefront of nanoscale mass fabrication with recent CMOS processing nodes pushing towards 7 nm feature sizes. While the fabrication of structures on Silicon, Germanium, Gallium Arsenide and other substrates has advanced, so too have the systems we create [1, 2]. The rapidly increasing complexity inherent in these systems – be they digital or analogue in nature – offers its own challenges for engineers. This book therefore offers a small insight into this exciting field.
Ethidium Bromide-Free DNA in Chimeric Gene Construction Involving Multiple DNA Segments

This manuscript describes a method of extracting DNA from agarose gels without exposure to ethidium bromide (EtBr) and UV radiation. Although it is well known that DNA exposed to EtBr and UV is less effective for cloning work, EtBr is still the most widely used staining agent today. Another newer and well- liked staining agent, SYBR Green, also requires UV radiation. Here I describe a simple method that uses these highly sensitive fluorescent agents to locate DNA for extraction, but does not expose the DNA itself to either fluorescent dyes or UV. Thus, the purified DNA can be used effectively for multi-segment ligation and regular cloning work.
Role of Type IV Pilins in Persistence of Vibrio vulniﬁcus in Crassostrea virginica Oysters (cid:1)

Vibrio vulniﬁcus is part of the natural estuarine microﬂora and accumulates in shellﬁsh through ﬁlter feeding. It is responsible for the majority of seafood-associated fatalities in the United States mainly through consumption of raw oysters. Previously we have shown that a V . vulniﬁcus mutant unable to express PilD, the type IV prepilin peptidase, does not express pili on the surface of the bacterium and is defective in adherence to human epithelial cells (R. N. Paranjpye, J. C. Lara, J. C. Pepe, C. M. Pepe, and M. S. Strom, Infect. Immun. 66:5659–5668, 1998). A mutant unable to express one of the type IV pilins, PilA, is also defective in adherence to epithelial cells as well as bioﬁlm formation on abiotic surfaces (R. N. Paranjpye and M. S. Strom, Infect. Immun. 73:1411–1422, 2005). In this study we report that the loss of PilD or PilA signiﬁcantly reduces the ability of V . vulniﬁcus to persist in Crassostrea virginica over a 66-h interval, strongly suggesting that pili expressed by this bacterium play a role in colonization or persistence in oysters.
Proof of the P\'{o}lya conjecture

In this paper, we study lower bounds for higher eigenvalues of the Dirichlet eigenvalue problem of the Laplacian on a bounded domain $\Omega$ in $\mathbb{R}^n$. It is well known that the $k$-th Dirichlet eigenvalue $\lambda_k$ obeys the Weyl asymptotic formula, that is, \[ \lambda_k\sim\frac{4\pi^2}{(\omega_n\mathrm{vol}\Omega)^\frac{2}{n}}k^\frac{2}{n}\qquad\hbox{as}\quad k\rightarrow\infty, \] where $\mathrm{vol}\Omega$ is the volume of $\Omega$. In view of the above formula, P\'{o}lya conjectured that \[ \lambda_k\gs\frac{4\pi^2}{(\omega_n\mathrm{vol}\Omega)^\frac{2}{n}}k^\frac{2}{n}\qquad\hbox{for}\quad k\in\mathbb{N}. \] This is the well-known conjecture of P\'{o}lya. Studies on this topic have a long history with much work.In particular, one of the more remarkable achievements in recent tens years has been achieved by Li and Yau [Comm. Math. Phys. 88 (1983), 309--318]. They solved partially the conjecture of P\'{o}lya with a slight difference by a factor $n/(n+2)$. Here, following the argument of Li and Yau on the whole, we shall thoroughly solve the above conjecture.
The metabolic gene HAO2 is downregulated in mouse, rat and human hepatocellular carcinoma and correlates with metastasis and poor survival

Background & Aims : L -2-Hydroxy acid oxidases are ﬂavin mononucleotide-dependent peroxisomal enzymes, responsible for the oxidation of L -2-hydroxy acids to ketoacids, resulting in the formation of hydrogen peroxide. We investigated the role of HAO2 , a member of this family, in rat, mouse and human hepatocarcinogenesis. Methods :We evaluated Hao2 expression by qRT-PCR in the following rodent models of hepatocarcinogenesis: the Resistant-Hepatocyte, the CMD and the chronic DENA rat models, and the TCPOBOP/DENA and TCPOBOP only mouse models. Microarray and qRT-PCR analyses were performed on two cohorts of human hepatocellularcarcinoma(HCC)patients.RatHCCcellsweretrans-duced by a Hao2 encoding lentiviral vector and grafted in mice. Results :Downregulation of Hao2 was observed in all investigated rodent models of hepatocarcinogenesis. Interestingly, Hao2 mRNA levels were also profoundly downregulated
Research on Action Recognition and Content Analysis in videos based on DNN and MLN

: In the current era of multimedia information, it is increasingly urgent to realize intelligent video action recognition and content analysis. In the past few years, video action recognition, as an important direction in computer vision, has attracted many researchers and made much progress. First, this paper reviews the latest video action recognition methods based on Deep Neural Network and Markov Logic Network. Second, we analyze the characteristics of each method and the performance from the experiment results. Then compare the emphases of these methods and discuss the application scenarios. Finally, we consider and prospect the development trend and direction of this field.
Analytical Modeling of Potential and Electric Field Distribution and Simulation of Large Signal Parameters for Dual Channel Dual Material Gate AlGaN/GaN High Electron Mobility Transistor

 Abstract —A two dimensional analytical model based on solution of 2-DEG charge expressions for potential and electric field distribution in dual channel dual material gate AlGaN/GaN high electron mobility transistor (DCDMG HEMT) is developed to demonstrate unique features of this device structure in suppressing short channel effects (SCEs), reduction in overall drain current collapse with further improvement in device current drive capability. The model accurately predicts the channel potential and electric field distribution along the device channels. It is observed that work function difference of dual metal gate leads to a screening effect of the drain potential variation by second metal gate portion near the drain resulting in suppressed drain induced barrier lowering (DIBL) and hot carrier effect. This further improves carrier transport efficiency due to improved uniform distribution of electric field along both the channels of device. Improvement in device current drive capability is due to incorporation of lower channel in the device. The resultant double channel dual material gate device get improved transconductance that suppresses current collapse that normally occurs in GaN based conventional HEMTs. Since current collapse mainly occurs in upper channel closer to the device surface while graded profile lower channel in the device is at far distance resulting in minimal current collapse. The proposed model also considers trap concentration, a responsible factor, for current collapse for device analysis and characterization. Finally theoretical prediction of our model results compared with device simulation results and experimental data. Results are found to be in close agreement giving validity to our proposed model.
Checkered Regression Checkered Regression

This paper introduces the checkered regression model, a nonlinear generalization of logistic regression. More precisely, this new binary classiﬁer relies on the multivariate function 12 (cid:0) 1 + tanh( z 1 2 ) × · · · × tanh( z m 2 ) (cid:1) , which coincides with the usual sigmoid function in the univariate case m = 1. While the decision boundary of logistic regression consists of a single hyperplane, our method is shown to tessellate the feature space by any given number m ≥ 1 of hyperplanes. In order to ﬁt the model’s parameters to some labeled data, we describe a classic empirical risk minimization framework based on the cross entropy loss. A multiclass version of our approach is also proposed.
Scientific Workflow Scheduling in Clouds: A Review

Due to their abundant resources that can be elastically provisioned with pay-as-you-go pricing, clouds have emerged as a promising cost-efficient platform to execute large scale scientific applications. Such applications consist of number of processes/tasks forming workflow. These tasks are connected by direct edges that show the data dependency between the tasks. Tasks perform their computation on the original data submitted by the user, or on data passed by its predecessor task. This work, classify and discuss proposals that investigate the problem of scheduling scientific workflows in clouds.
NUMERICAL SIMULATION OF HEAT TRANSPORT FROM THE ELECTRIC ARC FURNACE TO THE HEAT RECOVERY SYSTEM NUMERICAL SIMULATION OF HEAT TRANSPORT FROM THE ELECTRIC ARC FURNACE TO THE HEAT RECOVERY SYSTEM

The paper presents a numerical model of heat transport from melting charge of the electric arc furnace designed for ferroalloy production, into a cooled roof of the electric arc furnace from which waste heat is led to the heating system of a company. The model considers the influence of an asymmetric flue gas removal and geometry of electrode arrangement. The model was developed implementing CFD - the finite volume method in ANSYS - Fluent program code. Outputs of the simulation model served as a basis for dimensioning heat exchanger circuits designed for waste heat recovery to provide a company heating.
Pharmacological Characterization of 2-Methyl- N -((2 (cid:1) -(pyrrolidin-1-ylsulfonyl)biphenyl-4-yl)methyl)propan-1-amine (PF-04455242), a High-Affinity Antagonist Selective for (cid:1) -Opioid Receptors □ S

2-Methyl- N -((2 (cid:1) -(pyrrolidin-1-ylsulfonyl)biphenyl-4-yl)methyl)propan-1-amine(PF-04455242)isanovel (cid:1) -opioidreceptor(KOR)antagonist with high affinity for human (3 nM), rat (21 nM), and mouse (22 nM) KOR, a (cid:2) 20-fold reduced affinity for human (cid:2) -opioid receptors (MORs; K i (cid:3) 64 nM), and negligible affinity for (cid:3) -opioid receptors ( K i (cid:4) 4 (cid:2) M). PF-04455242 also showed selectivity for KORs in vivo. In rats, PF-04455242 blocked KOR and MOR agonist-induced anal- gesia with ID 50 values of 1.5 and 9.8 mg/kg, respectively, and inhib- ited ex vivo [ 3 H](2-(benzofuran-4-yl)- N -methyl- N -((5 S ,7 R ,8 R )-7-(pyrrolidin-1-yl)-1-oxaspiro[4.5]decan-8-yl)acetamide ([ 3 H]CI977) and [ 3 H](2 S )-2-[[2-[[(2 R )-2-[[(2 S )-2-amino-3-(4-hydroxyphenyl) propanoyl-]amino]propanoyl]amino]acetyl]-methylamino]- N -(2-hydroxyethyl)-3- phenylpropanamide ([ 3 H]DAMGO) binding to KOR and MOR receptors with ID 50 values of 2.0 and 8.6 mg/kg, respectively. An in vivo binding assay was developed using (-)-4-[ 3 H]methoxycarbonyl-2-[(1-pyrrolidinylmethyl]-1-[(3,4-dichlorophenyl)acetyl]-piperidine ([ 3 H]PF-04767135), a tritiated version of the KOR positron emission tomography ligand (-)-4-[ 11 C]methoxycarbonyl-2-[(1-pyrrolidinylmethyl]-1-[(3,4-dichlorophenyl)acetyl]-piperidine ([ 11 C]GR103545) in which PF-04455242 had an ID 50 of 5.2 mg/kg. PF-04455242 demonstrated to 41.9 4.9 ng/ml. PF-04455242 dose-dependently reduced the elevation of spiradoline-induced plasma prolactin with an ID 50 of 2.3 (cid:5) 0.1 mg/ kg, which aligned well with the ED 50 values obtained from the rat in vivobindingandefficacyassays.ThesedataprovidefurtherevidencethatKORantagonistshavepotentialforthetreatmentofdepressionandaddictiondisorders.
Genital Infection muridarum Chlamydia Oviduct Pathology during Limited Role of Inflammasome Activation, in Significant Role of IL-1 Signaling, but

IL-1 b has been implicated in the development of oviduct pathology during Chlamydia muridarum genital infection in the mouse model. The goal of this study was to characterize the role of IL-1 signaling and the inﬂammasome-activation pathways during genital chlamydial infection. Compared with control mice, IL-1R–deﬁcient mice displayed delayed clearance and increased chlamydial colonization. Consistent with the role for IL-1 signaling in infection clearance, mice deﬁcient for the IL-1R antagonist cleared infection at a faster rate. Despite increased infection, IL-1R–deﬁcient mice had signiﬁcantly reduced oviduct pathology, which was associated with decreased numbers of neutrophils, but more macrophages, in the genital tract. IL-1 b secretion is dependent on caspase-1 and apoptosis-associated speck-like protein containing caspase recruitment domain (ASC) inﬂammasome during in vitro infection of primed macrophages with C. muridarum . To investigate the role of inﬂammasome components during in vivo genital infection, mice lacking NLRP3, NLRC4, and ASC were tested and found to display no reduction in oviduct pathology compared with control mice. Mice deﬁcient for ASC displayed a prolonged course of infection, which was associated with reduced T cell recruitment and proliferation. Further, ASC-deﬁcient mice displayed normal levels of IL-1 b in genital secretions. However, a signiﬁcant decrease in caspase-1–dependent IL-18 was observed in both ASC- and NLRP3-deﬁcient mice. These data demonstrate a major role for IL-1 signaling, but a limited role for the inﬂammasome pathway, in IL-1 b secretion cytokine analysis over the course of infection was made using two-way ANOVA with the post hoc Tukey test as a multiple comparison procedure. The Fisher exact test was used for determination of signiﬁcant differences in the frequency of hydrosalpinx (HS) observed in the two groups. For analysis of pathology scores, a Mann–Whitney U test was performed. One-way ANOVA or unpaired Student t test was used for determining the signiﬁcance between differences in the percentage of positive cells from ﬂow cytometry data.
in a

This paper evaluates several methods of discretisation (binning) within a k-Nearest Neighbour predictor. Our k-NN is constructed using binary neural networks which require continuous-valued data to be discretised to allow it to be mapped to the binary neural framework. Our approach uses discretisation coupled with robust encoding to map data sets onto the binary neural network. In this paper, we compare seven unsupervised discretisation methods for retrieval accuracy (prediction accuracy) across a range of well-known prediction data sets comprising time-series data. We analyse whether there is an optimal discretisation configuration for our k-NN. The analyses demonstrate that the configuration is data specific. Hence, we recommend running evaluations of a number of configurations, varying both the discretisation methods and the number of discretisation bins, using a test data set. This evaluation will pinpoint the optimum configuration for new data sets.
Enhanced latent inhibition in high schizotypy individuals ☆ Personality and Individual Differences

Latent inhibition refers to a retardation in learning about a stimulus that has been rendered familiar by non- reinforced preexposure, relative to a non-preexposed stimulus. Latent inhibition has been shown to be inversely correlated with schizotypy, and abnormal in people with schizophrenia, but these ﬁ ndings are inconsistent. One potentialcontributingfactortothisinconsistencyisthatmanytasksthatpurporttomeasurelatentinhibitionare confounded by alternative effects that also retard learning and co-vary with schizotypy (e.g. learned irrelevance and conditioned inhibition). Here, two within-participant experiments are reported that measure the effect of familiarity on learning without the confound of these alternative effects. Consistent with some of the clinical literature, a positive association was found between the rate of learning to the familiar, but not the novel, stimulusandtheunusual-experiencesdimensionofschizotypy — implyingabnormallypersistentlatentinhibition in high schizotypy individuals.
DEVELOPMENT OF A NONINVASIVE CALCIUM IMAGING PROBE

Genetically encoded calcium indicators (GECIs) are Ca 2+ sensitive fluorescent proteins that have expanded the usefulness of optical calcium imaging to longitudinal in vivo studies due to their advantage of direct expression in the tissue being imaged. Several generations of GECIs have been developed using green fluorescent protein (GFP) or one of its variants with each generation improving upon Ca 2+ -binding affinities and optical properties. However, the tissue penetration of excitation or emission light through tissue is small due to high absorption of available GECI wavelengths, which are shorter than the infrared range. The field still lacks a GECI with excitation or emission wavelengths in the infrared range, which has significantly less attenuation in biological tissue. Here we propose the development of an infrared GECI by insertion of the Ca 2+ binding domain calmodulin (CaM) into regions surrounding the biliverdin chromophore binding pocket of infrared fluorescent protein (iRFP). We proposed seven DNA constructs of iRFP with different CaM insertion sites. Six of the seven DNA constructs were successfully produced with protein expressed from one of these constructs exhibiting similar optical properties to iRFP, showing successful receptor insertion into iRFP. Though our initial Ca 2+ sensitivity test to monitor change in fluorescence due to Ca 2+ binding is not conclusive, we open the field of GECI engineering to exciting new possibilities for noninvasive deep tissue calcium imaging.
Attachment and caregiver sensitivity in toddler childcare RELATIONSHIP BUIDLING BETWEEN TODDLERS AND NEW CAREGIVERS IN OUT-OF-HOME CHILDCARE: ATTACHMENT SECURITY AND CAREGIVER SENSITIVTY

Attachment and caregiver sensitivity in toddler childcare RELATIONSHIP BUIDLING BETWEEN TODDLERS AND NEW CAREGIVERS IN OUT-OF-HOME CHILDCARE: ATTACHMENT SECURITY AND CAREGIVER SENSITIVTY Katharina Ereky-Stevens, katharina.ereky@education.ox. ac.uk Antonia Funder, antonia.funder@univie.ac. at Tamara Katschnig, tamara.katschnig@univie.ac. at Lars-Erik Malmberg, lars-erik.malmberg@education.ox. ac.uk Wilfried Datler , wilfried.datler@univie.ac. at University of Vienna, Institut für Bildungswissenschaft, Sensengasse 3a, 1090 Wien, Austria Univeristy of Oxford, Department of Education, 15 Norham Gardens, Oxford, OX2 6PY, UK Corresponding author. Present address: Univeristy of Oxford, Department of Education, 15 Norham Gardens, Oxford, OX2 6PY, UK
Cost-effective screening for differentially expressed genes in microarray experiments based on normal mixtures

Microarray experiments allow the monitoring of expression levels for thousands of genes simultaneously. Based on data obtained from the co-hybridization of two mRNA samples, a frequent goal is to find out which genes are differentially expressed. For this purpose, we propose to estimate the distribution of popular test statistics by a mixture of normal distributions. These statistics are calculated for each gene separately. A Bayes classifier is then used to decide upon differential expression. The cut-off for the classifier is chosen according to the number of false positives and negatives when applied to realistic data generating models. In particular, we generate data from a mixture model and from an Empirical Bayes model. By comparing the numbers of false decisions for various test statistics in the context of the considered models, we investigate which of the statistics are particularly suitable with our approach.
Is There a Limit to Adoption of Dynamic Ridesharing Systems? Evidence from Analysis of Uber Demand Data from New York City

Recent technological advances have paved the way for new mobility alternatives within established transportation networks, including on-demand ride hailing/sharing (e.g., Uber, Lyft) and citywide bike sharing. Common across these innovative modes is a lack of direct ownership by the user; in each of these mobility offerings, a resource not owned by the end users’ is shared for fulfilling travel needs. This concept has flourished and is being hailed as a potential option for autonomous vehicle operation moving forward. However, substantial investigation into how new shared modes affect travel behaviors and integrate into existing transportation networks is lacking. This paper explores whether the growth in the adoption and usage of these modes is unbounded, or if there is a limit to their uptake. Recent trends and shifts in Uber demand usage from New York City were investigated to explore the hypothesis. Using publicly available data about Uber trips, temporal trends in the weekly demand for Uber were explored in the borough of Manhattan. A panel-based random effects model accounting for both heteroscedasticity and autocorrelation effects was estimated wherein weekly demand was expressed as a function of a variety of demographic, land use, and environmental factors. It was observed that demand appeared to initially increase after the introduction of Uber, but seemed to have stagnated and waned over time in heavily residential portions of the island, contradicting the observed macroscopic unbounded growth. The implications extend beyond already existing fully shared systems and also affect the planning of future mobility offerings.
Antimicrobial Resistance Pattern of Clinical Isolates of Infected Wounds

:The progressively increasing invasive systemic infections are among the lead health problems caused by the wound infections. The morbidity and mortality rate is increased due to the widespread use of antibiotics and resistance caused by the microorganisms. AIMS & OBJECTIVES: The aim of study is to isolate the causative organisms and study their pattern of drug susceptibility of bacteria cultured from superficial wound infections. METHODOLOGY: University. A total of 87 patients who Sterile cotton to obtain the specimens from wounds and processed. Bacterial culturing Eighty-seven patients wound infection for collection. positive isolate