Miracle-dz/UniFAR-FTUs huggingface dataset:
A herbo health care for gums and throat

The use of herbal gum paint in the treatment of dental problems is not very common. Most of the drugs used are synthetic and are in used over the years mainly for antibacterial activity in the oral cavity. It includes various side effects that are always a limit for their use. Natural remedies are always more desirable and acceptable and are more effective with fewer side effects. ThemicroorganismincludesEscherichiacoli, Klebsiella pneumonia, Staphylococcusepidermidis, and staphylococcus aureus which causegingivitisanddent cavities. The current study objective is to formulate and evaluate an herbal gum paint that is useful in the long term and has rheological characteristics and stability too. The local anesthetic activity is studied and the antimicrobial activity of gum paint is examined by disc diffusion method and compared activity between F1-betel leaf oil, F2- clove oil, and an F3 (F1+F2) – both betel leaf and clove oil. F3 shows a synergistic effect on microbes than the other two and has the maximum zone of inhibition.
Information-based inference in sloppy and singular models

A central problem in statistics is model selection: the choice between competing models of a stochastic process whose observables are corrupted by noise. In information-based inference, model selection is performed by maximizing the estimated predictive performance. We propose a frequen- tist information criterion (FIC) which extends the applicability of information-based inference to the analysis of singular and sloppy models. In these scenarios, the Akaike information criterion (AIC) can result in significant under or over-estimates of the predictive complexity. Two important mechanisms for this failure are examined: an implicit multiple testing problem and the presence of unidentifiable parameters. FIC rectifies this failure by applying a frequentist approximation to compute the com- plexity. For regular models in the large-sample-size limit, AIC and FIC are equal, but in general the complexity exhibits a sample-size dependent scaling. In the context of singular models, FIC can ex- hibit Bayesian information criterion-like or Hannan-Quinn-like scalings with sample size. FIC does not depend on ad hoc prior distributions or exogenous regularization and can be applied when struc- tured data complicates the use of cross-validatation.
Organizational and digital transformation projects-A dynamic en-terprise organizational models (DEOM)

The organizational and digital transformation projects are very complex to finalize, because of many reasons, and they mainly depend on the initial project’s phases. The initial phases depend on the critical Building Blocks (BB) based Reorganizational Process’ (RP) success, knowing that the Unbundling Process (UP) success and the deliverance of pool(s) of extracted and refined BBs, is the most important phase. BBs are combined to offer reusable Composite BBs (CBB), which are used to (re)build and optimize Organization’s Units (OU) Platform (OUP). The optimization of OUs takes into account mainly intangible and non-financial objectives. The Enterprise’s (ENT) RP is a sequence (or a set) of RPs on the OUP (RPOUP), which goal is to disassemble ENT’s: Legacy OUs’ archaic structure(s), Organizational processes, Information system’s administration, Resources/Artefacts, Applications/Modules, Working models, and Components; into dynamic reusable CBBs which can be (re)used in standardized or In-House-Implemented (IHI) Organizational BBs (OBB); where a OU is a set of OBBs and different OUs can share OBBs, and hence CBBs. The conversion of the legacy OUs and their subsystems need an IHI Methodology, Domain, and Technology Common Artefacts Standard (MDTCAS) that maps to existing BBs, CBBs and OOBs. In generating Micro-Artifacts (MA) the RP can face major difficulties because of the ENT’s heterogenous human profiles/cultures, system parts, OU’s Resistances (OUR), managers/stakeholders exaggerated financial ambitions, and project’s limited time/budgets. In this chapter the author uses an adapted version of the Applied Holistic Mathematical Model (AHMM) for DEOM (AHMM4DEOM) (Trad, & Kalpić, 2020a) to support RPOUP’s feasibility that uses the initial phase’s pool of secured BBs that result from the Automated Refine Processes (ARP) based UP (Trad, 2023b). OU is a set of OBBs, and a Dynamic Enterprise Organizational Models (DEOM) is a set of OUs; and finally, an ENT is a set of OUs.
Design and Analysis of 8× 8 SRAM Memory Array using 45 nm Technology at 100 MHz

The main goal of this paper is to build an 8 by 8-bit SRAM memory array using 45nm CMOS technology. The SRAM array is read by a 3-bit address using a 3-to-8 decoder. The SRAM cells are made to operate at 100 MHz Read & Write cycles with the least amount of power usage and the appropriate static noise margin. Through Cadence Virtuoso’s Analog-Design Environment, both the SRAM array and decoder are implemented, tested, and laid out using software models. (ADE).
Computation of Source for Non-Meshed Coils in a Reduced Domain With  ${A}$ – ${V}$  Formulation

The discretized source magnetic vector potential A<sub>j</sub>, projected from source field Hs with H(curl, Ω) semi-norm, is studied for non-meshed coils with magnetic vector potential A and electric scalar potential V formulation. As a novelty, source potential A<sub>j</sub> is computed in a reduced domain Ω<sub>red</sub> instead of the complete domain Ω. For domains with fixed and moving parts, potential A<sub>j</sub> can be computed on each part, for each of the related current sources, with no need to ensure its continuity between these parts.
Intracompany Training in Software Testing: Experience Report

The objective of this short paper is to summarize the team’s experience in the area of software-testing education obtained through the development of an extensive internal training program for entry-level software testing specialists. The curriculum description is outlined in the context of most recent trends in the professional domain of software testing as well as the demand for new skills caused by the industry shift. We discuss the educational approach, course design, instruction tools and techniques along with the challenges and lessons learned in the setting of an international, multicultural, and geographically-distributed classroom.
0423 The Role of Fear of Sleep in Cognitive Behavioral Therapy for Insomnia and Cognitive Processing Therapy

Fear of sleep (FoS) is linked to symptoms of PTSD. Additionally, cognitive behavioral therapy for insomnia (CBTi) can reduce FoS. Utilizing data from a randomized controlled trial of CBTi followed by Cognitive Processing Therapy for PTSD (CPT), this secondary data analysis sought to examine the relationship between FoS and PTSD symptoms, and how FoS is impacted by CBTi, in individuals exposed to interpersonal violence with PTSD. Additionally, we sought to extend the literature by examining whether FoS predicts the effect of subsequent CPT on PTSD severity or if CPT further reduces FoS. A sample of 83 participants were randomly assigned to either receive sequential delivery of four weekly sessions of CBTi, which included modules to address FoS, followed by 12 weekly sessions of CPT (Group 1: CBTi+CPT) or receive four weekly phone check-ins (CTRL) followed by CPT (Group 2: CTRL+CPT). Participants were assessed at baseline (T1), after CBTi/CTRL (T2), and after CPT (T3). Relevant measures included the Fear of Sleep Inventory (FoSI) and Clinician Administered PTSD Scale (CAPS). Analyses included correlations, mean differences tests, and regression-based analyses. At T1 FoSI and CAPS were positively correlated (r = 0.47, p < 0.001). At T2 a significant reduction in FoSI scores was observed after CBTi/CTRL for Group 1 (t = 4.81, p < 0.001), but not Group 2, and a significant difference in FoSI scores between Group 1 and Group 2, all while controlling for baseline differences (F (1, 80) = 3.99, p < 0.05). Lastly, for the entire sample lower T2 FoSI scores predicted lower T3 CAPS scores (B = 0.42, p < 0.01) and FoS was not further reduced following CPT. Results replicate previous work by demonstrating a positive relationship between FoS and PTSD severity. Additionally, FoSI was significantly reduced after CBTi. Lastly, lower levels of FoS predicted reduced PTSD symptoms following CPT, although CPT was not associated with significant reductions in FoS. Results highlight that CBTi that explicitly addresses FoS may reduce FoS, and findings also suggest that effectively reducing FoS prior to PTSD treatment may improve treatment outcomes. NIH/NINR R01 NR013909; VA Center of Excellence for Suicide Prevention
Homogeneous Green's functions as a dictionary for wavefield reconstruction

Techniques for wavefield interpolation, extrapolation and regularization often rely on general-purpose dictionaries originating in the discipline of signal or image processing. However, the linearity of the Helmholtz equation suggests that a dictionary composed of homogeneous Green’s functions may be specifically suitable for the reconstruction of the acoustic wavefields relevant to seismic exploration. Through such dictionary, data can be linearly mapped into a dual domain interpreted as an equivalent source distribution. The theoretical argument behind this mapping operation is constructed from first principles in this document. The scheme is then applied to the interpolation of a set of simple synthetic data.
Human Cognition-Based Consistency Inference Networks for Multi-Modal Fake News Detection

The existing models for multi-modal fake news detection focus mainly on capturing common similar semantics between different modalities to improve detection performance. However, they ignore the extraction of inconsistent features between these modalities. The intuitive cognition way people identify a piece of fake news is generally to discover if there are inconsistent semantics among news content itself and its comments, which could be abstracted as “comparing news image-text consistency - finding valuable comments - reasoning in-/consistency between news and comments”. Inspired by the cognitive process, we propose Human Cognition-based Consistency Inference Networks (HCCIN) to comprehensively explore consistent and inconsistent semantics for multi-modal fake news detection. Specifically, we first design cross-modal alignment layer to learn consistent semantics between textual and visual information within the multi-modal news, and then the comment clue discovery layer is devoted to ascertaining the most-concerned semantics by audiences between comments. Finally, we develop collaborative inference layer to drive news consistent semantics and the most-concerned semantics to reason and discover consistent and inconsistent information between them. Experiments on three public datasets, including Weibo, Twitter, and PHEME, reveal the superiority of our HCCIN.
Approximate Dynamic Programming for Event-Driven H∞ Constrained Control

We study the dynamic event-driven H∞ constrained control problem through approximate dynamic programming (ADP). Differing from the existing literature considering systems with either symmetric constraints or asymmetric constraints, we consider the two different constraints simultaneously. Initially, by constructing a generalized nonquadratic value function, we transform the H∞ constrained control problem into an unconstrained two-player zero-sum game. Then, we present an event-driven Hamilton–Jacobi–Isaacs equation (ED-HJIE) corresponding to the zero-sum game for lowering down the computational load. To solve the ED-HJIE, we propose a dynamic triggering mechanism together with a sole critic neural network (CNN) being built under the ADP framework. The CNN’s weights are tuned via the gradient descent approach. After that, we prove uniform ultimate boundedness of the closed-loop system and the CNN’s weight estimation error via Lyapunov’s method. Finally, we separately use an F16 aircraft plant and an inverted pendulum system to validate the present theoretical claims.
Edge-color-histogram and Kalman filter-based real-time object tracking

An object tracking algorithm based on Kalman filter and edge orientation histogram(EOH) was used to improve the tracking performance with scene illumination variations or complicated backgrounds.Since the EOH is not sensitive to light or color variation,this method works well when tracking object in such cases.The Kalman filter is used to estimate the new position and angle and then a new estimate of the EOH is calculated to quickly and efficiently match the target.Tests show that the color histogram method easily losts objects while the EOH follows them very well.The tests show that the EOH and the Kalman filter can track objects in real-time when the illumination varies or background clutter is present.
Vitamin D Status in Women with a History of Infertility and Decreased Fecundability: A Population-Based Study

Background: Infertility and fecundability problems have been linked with lower 25-hydroxyvitamin D (25(OH)D) concentrations, but studies conducted with small, heterogenous or selected populations have shown inconsistent results. Methods: This study included women at age 31 from prospective population-based Northern Finland Birth Cohort 1966. Serum 25(OH)D concentrations were evaluated between women with or without previous infertility examinations or treatments (infertility group, n = 375, reference group, n = 2051) and time to pregnancy (TTP) of over 12 months (decreased fecundability group, n = 338) with a wide range of confounders. Furthermore, 25(OH)D concentrations were also compared among reproductive outcomes. Results: The mean 25(OH)D concentration was lower and 25(OH)D < 30 nmol/L was more frequent in women with a history of infertility compared to reference group. Moreover, 25(OH)D > 75 nmol/L was more frequent in the reference group. The mean 25(OH)D concentration was lower in women who had had multiple miscarriages. Both history of infertility (β = −2.7, 95% confidence interval (CI) −4.6, −0.7) and decreased fecundability associated with lower 25(OH)D concentration (β = −4.1, 95% CI −7.4, −0.8) after adjustments. In conclusion, this population-based study demonstrated that previous infertility and decreased fecundability were associated with lower 25(OH)D.
Trajectory‐BERT: Pre‐training and fine‐tuning bidirectional transformers for crowd trajectory enhancement

To address the issue of trajectory fragments and ID switches caused by occlusion in dense crowds, we propose a space‐time trajectory encoding method and a point‐line‐group division method to construct Trajectory‐BERT in this paper. Leveraging the spatiotemporal context‐dependent features of trajectories, we introduce pre‐training and fine‐tuning Trajectory‐BERT tasks to repair occluded trajectories. Experimental results show that data augmented with Trajectory‐BERT outperforms raw annotated data on the MOTA metric and reduces ID switches in raw labeled data, demonstrating the feasibility of our method.
Beta-lactam, aminoglycoside, and quinolone resistance in Escherichia coli strains isolated from shrimps and mussels in the Marmara Sea

The purpose of the study was to examine the prevalence of Escherichia coli in shrimps and mussels, and to determine the distribution of β-lactam, aminoglycoside, quinolone, and multi-drug resistance phenotypically and genotypically in E. coli isolates obtained from mussels and shrimps in Istanbul. Faecal samples were collected from mussels (n = 96) and shrimps (n = 96) from the Marmara Sea coastline and fish markets in Istanbul. For the detection of antibiotic susceptibilities, seven antibiotic groups were used. β-lactamase, aminoglycoside, and quinolone genes were also determined. A total of 34 (17.7%, 15 shrimps, and 19 mussels) E. coli were isolated, and 17 (50%) were found to be resistant to one or more antimicrobials. The highest resistance was seen against aminoglycosides with 11 isolates (32.35%), followed by quinolones with 10 isolates (29.41%) and extended-spectrum β-lactamase (ESBL) with 4 isolates (11.76%). Multi-drug resistance was detected in 5 isolates (14.7%) from 3 shrimp and 2 mussel samples. The prevalence of ESBL genes was demonstrated at 3.84% in mussels and shrimp samples. There were no AmpC and carbapenemase-producing genes. These samples harbored blaCTX-M-1 (n = 3) and blaTEM (n = 4). Ten isolates were resistant to aminoglycosides genotypically. Resistance genes detected were strB in 2 isolates, aadA in 5, strB and aadA together in 3, ANT('')-Ia, aphA1 and aphA2 simultaneously in 3, aphA1 in 1, aac(3)-IIa in 1 isolate. aac(6')-Ib-cr gene was detected in only one of 10 phenotypically resistant isolates to quinolones.
Novel Method for Printed Character Recognition: (0,1,*)-Matrix Based on GA

To reduce the computing complexity of printed character recognition and improve recognition rate as well, a new effective algorithm is proposed. Using two reasonable threshold values, the algorithm transforms real template vectors into (0,1,*) ones. Meanwhile, adequately considering the different weightiness of the four different factors denoting the pertinence between template and unknown sample, corresponding weight coefficients are allocated on them. Genetic algorithm is used to decide all these threshold values and weight coefficients. The method produces 98.1% of the recognition rate, which is better than 92.1% of conventional template matching method under the identical experimental condition.
Understanding Chinese international students in the U.S. in Times of the COVID-19 crisis: from a Chinese discourse studies perspective

ABSTRACT Using the Chinese Discourse Studies (CNDS) as a theoretical framework, this study seeks to challenge the cultural essentialism and uncritical roots of existing literature, with an aim to expose long-standing patterns of Western totalizing discourse in the field of international education research. This exploratory article explores how Chinese international students as cultural agents respond to the global pandemic and pandemic-related stereotypes. Through a critical analysis of 21 Chinese students’ narratives, this article identifies three culturally specific characteristics that pervade Chinese normative dialogues: (1) Chinese dialectics, (2) Chinese harmony, and (3) Chinese self-criticism. They are often employed to emphasize Chinese optimistic attitudes in times of crisis, avoidance of confrontation for harmonious communication, and moral character of self-introspection to conform to the social norm. This article offers new empirical evidence for the reconstruction of the Chinese paradigm of discourse studies and reveals the inappropriateness of Western scholarship for understanding non-Western linguistic and communicative events and practices. In sum, this article demonstrates that Chinese discourse studies can be a potential decolonial option to depart from deep-seated scholarship in Western intellectual supremacy and a visionary framework to advance multicultural discourses about international education against the backdrop of geopolitical tensions and anti-Asian racism.
On determining the shortest path through a number of intermediate points

In this article, an algorithm is presented which determines in a transportation (road) network the shortest path from an origin to a destination that passes by a number of predefined intermediate points, all given by their geographic coordinates. In general, these points do not coincide with nodes of the graph and we may assume that a point is visited as soon as one of the nodes closest to it is visited. The algorithm searches for the shortest path iteratively from one intermediate point to another. It can be proven that, in particular cases, this algorithm realizes a speedup in comparison with a point-to-point algorithm.
Serious Games to Improve Attention in Boys and Girls with Attention Deficit Hyperactivity Disorder (ADHD): A Pilot Study.

Background: The objective of this study was to test a treatment program in Serious Games (SG) format to improve attention in children from Catalonia, Spain, with Attention Deficit Hyperactivity Disorder (ADHD). The activities adapted to the SG format consisted of (1) stimulus selection, (2) mark equal drawings, (3) eight differences, (4) hidden figures, (5) compare texts, (6) compare measures and shapes, (7) put model keys, (8) labyrinths and (9) memorization of drawings. Method: A pretest-posttest design was used with a cohort of 30 children between 8 and 10 years old diagnosed with ADHD, with 20% girls (n = 6) and 80% boys (n = 24) with a mean age of 9.4 years (SD = 0.63; range of 8 to 10 years). Four schools and a clinical center from Catalonia, Spain participated in the sample composition. Half of the sample participated in an attention improvement program for nine sessions of 30-45 minutes each in Serious Games format. They were presented with a series of game challenges with various virtual scenarios through a monitor. The other half did the same attention improvement program in pencil and paper format. Results: The children in the Serious Games group progressed and improved more during treatment, as shown by the average number of errors of commission (p =.02) than those in the pencil and paper group. Both groups also improved in the total score and concentration scale of the D2 test (p < .001). Conclusions: Attentional training through programs in Serious Games format seems to have a more significant effect on commission errors than attentional training in pencil and paper format.
Simulating wake losses of the Danish Energy Island wind farm cluster

The increase in the number of installed offshore wind farms has led to clustering, where wind farm interaction can cause energy losses. The Danish government is planning an Energy Island in the North Sea consisting of ten 1 GW wind farms. The initial wind farm layout design from a consultant company (COWI) has reported a 5% annual energy production (AEP) wake loss based on a low-fidelity engineering wake model that is known to underestimate wind farm interaction. The present work employs higher-fidelity wake models based on Reynolds-averaged Navier-Stokes (RANS) and a mesoscale model, which predict higher AEP losses due to wind farm interaction; namely, between 8.6-10.1%. In addition, we investigate how a microscale model as RANS can be employed to simulate a large wind farm cluster efficiently, and we compare its results with mesoscale model simulations.
Development of low-cost electrospun carbon nanofibers using asphaltene precursor

This study reports for the first time the development of low-cost nano-scale carbon fibers from petroleum asphaltene precursors using the simple and cost-effective electrospinning technique. Firstly, the green nanofiber nonwoven mats were electrospun without any prior treatment of the asphaltene feedstock. The nanomats were then heat treated at different temperatures to optimise their thermostabilisation and carbonisation conditions. Based on extensive mechanical and analytical (DSC, TGA, ATR-FTIR) characterisations, it was found that thermostabilisation of fibers at 250 °C in air followed by carbonisation at 1000 °C in nitrogen resulted in nanofibers with the best tensile properties (∼340 MPa) and good morphology as also confirmed by SEM micrographs. Moreover, the nanofiber mats exhibited relatively good electrical conductivity (5.88 ± 0.43 S cm−1), which could be useful for energy storage applications. The average diameter of the carbonised nanofibers was found to be 700 nm, and the carbonised nanofiber mats were flexible and showed good handleability despite the inherent brittleness of asphaltenes. Overall, the present work opens new avenues for the valorisation of asphaltene waste into high-value nanofiber materials with the potential for multi-functional applications in the composite and energy industries.