Miracle-dz/UniFAR-FTUs huggingface dataset:
A Finite Element Method Approach to the Boussinesq Equations Solitary wave propagation through L-bends and symmetric branching points using FEniCS

This thesis investigates the appliance of the nite element method to long wave propagation in channels. Weak formulations of potentialand velocity based Boussinesq equations were derived, with the normal dependent noux boundary condition imposed weakly, using Nitsche's method. Utilizing FEniCS, velocity based equations on constant depth has been thoroughly tested and show promising results when compared with the proven nite di erence tsunami model, GloBouss. The FEM-solver's results in a sharp L-bend for di erent widths are in accordance to results in earlier papers and GloBouss. In a symmetric fork with branches at 45 the FEM-solver produces results that are reminiscent to other investigations of branched channels. Noticeable di erences are observed contra results from GloBouss. Variable depth has been implemented in the FEM-solver, but not fully veri ed. Same applies to the potential based solver. Using the nite element method for solving the Boussinesq equations in complex geometries shows good promise, but need improvements to be e cient. Noticeable spikes are observed when solving for velocity, while the potential based solver seems to not have this non-physical behaviour.
Spatial Configuration of Stars Around Three Metal-poor Globular Clusters in the Galatic Bulge, NGC 6266, NGC 6273, and NGC 6681 : Surface Density Map and Radial Density Profile

We present extra-tidal features of spatial configuration of stars around three metal-poor globular clusters (NGC 6266, NGC 6273, NGC 6681) located in the Galactic bulge. The wide-field photometric data were obtained in BVI bands with the MOSAIC II camera at CTIO 4 m Blanco telescope. The derived color-magnitude diagrams (CMDs) contain stars in a total 71´×71´area including a cluster and its surrounding field outside of the tidal radius of the cluster. Applying statistical filtering technique, we minimized the field star contaminations on the obtained cluster CMDs and extracted the cluster members. On the spatial stellar density maps around the target clusters, we found overdensity features beyond the tidal radii of the clusters. We also found that the radial density profiles of the clusters show departures from the best-fit King model for their outer regions which support the overdensity patterns.
Fecal Carriage of Extended-Spectrum β-Lactamase-/AmpC-Producing Escherichia coli in Pet and Stray Cats

Dogs have been reported as potential carriers of antimicrobial-resistant bacteria, but the role of cats has been poorly studied. The aim of this study was to investigate the presence and the risk factors associated with the fecal carriage of extended-spectrum β-lactamase and AmpC (ESBL/AmpC)-producing Escherichia coli (E. coli) in pet and stray cats. Fecal samples were collected between 2020 and 2022 from healthy and unhealthy cats and screened for ESBL/AmpC-producing E. coli using selective media. The presence of ESBL/AmpC-producing E. coli was confirmed by phenotypic and molecular methods. The evaluation of minimum inhibitory concentrations (MICs) was performed on positive isolates. Host and hospitalization data were analyzed to identify risk factors. A total of 97 cats’ samples were collected, and ESBL/AmpC-producing E. coli were detected in 6/97 (6.2%), supported by the detection of blaCTX-M (100%), blaTEM (83.3%), and blaSHV (16.7%) genes and the overexpression of chromosomal ampC (1%). All E. coli isolates were categorized as multidrug-resistant. Unhealthy status and previous antibiotic therapy were significantly associated with ESBL/AmpC-producing E. coli fecal carriage. Our results suggest that cats may be carriers of ESBL/AmpC-producing E. coli, highlighting the need for antimicrobial stewardship in veterinary medicine and an antimicrobial-resistance surveillance program focusing on companion animals, including stray cats.
Drug Resistance Profile Among HIV-1 Infections Experiencing ART with Low-Level Viral Load in Guangdong China During 2011–2022: A Retrospective Study

Background Antiretroviral therapy (ART) efficiently reduces the morbidities and mortalities caused by HIV-1 infection and prevents the HIV epidemic. However, virologic failure (VF) occurs in some patients receiving ART experience, especially increases in those patients with intermittent or persistent low-level viremia (LLV). The presence of drug resistance mutations (DRMs) in LLV was a strong predictor of subsequent VF. The data on drug resistance (DR) or DRMs for HIV-1 infections at low-level viral load (LLVL) are limited in China. Objective To monitor the prevalence of HIV-1 drug resistance and to evaluate the risk factors associated with drug resistance in LLVL HIV-1 infections during ART in Guangdong, China. Methods Plasma samples with LLVL during ART in Guangdong Province between Jan 2011 and Dec 2022 were subjected to a modified reverse-transcription PCR with a pre-step of virus concentration by ultracentrifugation before extraction and the Sanger sequencing. Then, the genotypic resistance test was performed and DR was analyzed by the Stanford HIVDB program. Finally, DR-associated factors were identified by logistic regression analysis. Results We found that CRF01_AE (53.57%) and CRF07_BC (25.07%) were the dominant HIV-1 genotypes in LLVL in Guangdong between 2011 and 2022 but that the percentage of CRF01_AE showed a trend of decrease over time. M46 (1.49%), M184 (30.91%), and K103 (21.46%) were the dominant PI-, NRTI-, and NNRTI-associated mutations, respectively. The total DR rate was 47.06%. Specifically, PI (3.71%) showed a significantly lower DR rate than NNRTI (40.74%) and NRTI (34.14%). Duration of ART, initial ART regimen, ethnicity, and WHO clinical stages were associated with DR. Conclusion The drug resistance rate among the LLVL during ART in Guangdong, China is high. The risk factors associated with HIV drug resistance should be seriously considered for better control.
Weight Loss Is a Strong Predictor of Memory Disorder Independent of Genetic Influences

Background: Past studies identified a link between weight loss and dementia, but lacked consistent conclusions. We sought to establish this link by examining the weight change profiles before and after dementia diagnosis. Methods: Using data from the Health and Retirement Study (1996–2020), we examined 13,123 participants. We conducted a nested case–control analysis to assess differences in biennial weight change profile while controlling for BMI, longevity polygenic risk scores, and APOE gene variants. Results: Participants with a memory disorder lost weight (−0.63%) biennially, whereas those without a diagnosis did not (+0.013%, p-value < 0.0001). Our case–control study shows a significant difference (p-value < 0.01) in pre-dementia % weight changes between the cases (−0.29%) and controls (0.19%), but not in post-dementia weight changes. The weight loss group have the highest risk (OR = 2.01; p-value < 0.0001) of developing a memory disorder compared to the stable weight and weight gain groups. The observations hold true after adjusting for BMI, longevity polygenic risk scores, and APOE variant in a multivariable model. Conclusions: We observe that weight loss in dementia is a physiological process independent of genetic factors associated with BMI and longevity. Pre-dementia weight loss may be an important prognostic criterion to assess a person’s risk of developing a memory disorder.
Study of Threat Scenario Reconstruction based on Multiple Correlation

The emergence of intrusion detection technology has solved many network attack problems, ensuring the safety of computer systems. However, because of the isolated output alarm information, large amount of data, and mixed events, it is difficult for the managers to understand the deep logic relationship between the alarm information, thus they cannot deduce the attacker’s true intentions. This paper presents a method of online threat scene reconstruction to handle the alarm information, which reconstructs of the threat scene. For testing, the standard data set is used.
SSR marker development in Abelmoschus esculentus (L.) Moench using transcriptome sequencing and genetic diversity studies

Okra [Abelmoschus esculentus (L.) Moench] also known as bhindi or lady’s finger is an important vegetable crop in India, West Africa, South Africa, Brazil, USA and Turkey. It belongs to the family Malvaceae. Okra is mainly grown in tropics and subtropics of the world. The studies regarding the molecular marker development are very limited; still there is no SSR development from comprehensive transcriptome data in this crop. This study presents the first comprehensive transcriptome data, using RNA from different parts of okra such as root, stem, leaf, bud, flower, different stages of developing pod and from twenty days old plantlets of heat, drought and salt stressed. A total of 10,492 SSRs were identified in this study. Among these tri repeats (2112) were found to be predominant followed by di (1285), tetra (149), penta (24) and hexa. Thirty four SSRs were standardized for PCR and screened for 36 okra genotypes and accessions. Among these 18 SSR primers were found to be highly polymorphic with the PIC values more than 0.5. And the overall results of analysis showed that expected heterozygosity ranged from 0.000 to 0.971 with a mean of 0.593; the values for observed heterozygosity ranged from 0.000 to 0.794 with the mean of 0.254; the number of allele per locus ranged from 1 to 30 and the Polymorphic Information Content (PIC) ranged from 0.000 to 0.940 with the mean value of 0.5546. The genic SSR markers developed will help in germplasm characterization mapping, genetic diversity studies, molecular assisted breeding and also in gene discovery.
A habituation memristor model for lung cancer screening application

—Lung cancer screening is critical to the diagnosis and treatment of patients. Today, computed tomography (CT) scanning technology provides a promising approach for the screening of lung cancer. Nevertheless, the redundant information in CT images often limits the efficiency and accuracy of screening. The biological sensory nervous system has an important mechanism for screening out redundant information, namely habituation. Here, we designed a second-order memristor model with habituation characteristics. Some of the habituation behavior of the memristor model has been demonstrated with LTspice simulation. Furthermore, the habituation memristor model is incorporated in a volatile memristor based leaky integrate and fire (LIF) neuron circuit to construct a simple neural system. The simulation results indicate that the neural system exhibits reliable habituation behaviors. Finally, lung cancer screening tasks have been implemented based on the neural system with habituation behavior. The habituation memristor circuit serves as a data preprocessing layer that filters out relevant information from lung cancer images. The results indicate that the performance and accuracy of lung cancer screening performance are noticeably better than the neural system without habituation behavior. This work provides a new idea for lung cancer screening implementation.
Estimating In-Situ R-Value of Highly Insulated Building Walls Based on the Measurement of Temperature and Heat Flux Inside the Wall

Accurate and rapid in situ measurements of the thermal resistance (R-value) of building envelopes are necessary for assessing planned performance and identifying appropriate retrofitting strategies. Although there are several approaches for in situ R-value estimation, the average method of ISO 9869-1 based on the heat flow meter method is the most widely used. However, discrepancies between theoretical and in situ R-values are frequently reported in many studies that employ this method. This study aimed to investigate the cause of this discrepancy in estimating in situ R-values of highly insulated building walls using the average method of ISO 9869-1 by conducting long-term experiments. This study was made possible due to a specially constructed test wall wherein more sensors were installed than are required by the ISO 9869-1 standard. The findings showed that discrepancies between heat fluxes on the internal surface and heat passing through the wall is the main cause of the error in in situ R-value estimation. Measurement results from winter showed that deviation from the theoretical R-value was 9.12% for the average method and 0.6% for the extended average method, determined by additionally using the temperature and heat flux inside the wall.
Unveiling Online Self-Disclosure: A Comparative Study of Adolescents and Young Adults in The Digital Age

Tingginya penggunaan media sosial mendorong pergeseran aktivitas pengungkapan diri dari offline ke online. Padahal, perilaku pengungkapan diri online memiliki beragam risiko yang rentan dialami pengguna yang mayoritas berada di tahap perkembangan remaja dan dewasa awal. Penelitian ini bertujuan untuk mengetahui apakah ada perbedaan tingkat pengungkapan diri online di media sosial antara pengguna remaja dengan dewasa awal. Desain penelitian survei kuantitatif digunakan dengan convenience sampling sebagai teknik pengambilan sampel. Sebanyak 532 pengguna media sosial remaja dan dewasa awal, baik dari Pulau Jawa maupun dari luar Pulau Jawa terlibat dalam penelitian ini. Hasil analisis independent t-test menunjukkan tidak ada perbedaan yang signifikan pada pengungkapan diri online remaja dan dewasa awal. Akan tetapi, ditemukan perbedaan pengungkapan diri online ditinjau dari wilayah domisili dan durasi akses media sosial. Pengguna dari Pulau Jawa dan pengguna yang mengakses media sosial selama 6-8 jam perhari memiliki tingkat pengungkapan diri online yang lebih tinggi. Temuan ini memperkaya pemahaman mengenai perilaku pengguna media sosial di Indonesia. Masyarakat perlu berkolaborasi untuk mengelola perilaku bermedia sosial guna menghindari risiko penggunaan media sosial yang tidak terkontrol. The high use of social media encourages a shift in offline and online self-disclosure activities. Whereas online self-disclosure behavior has various risks that are prone to be experienced by users, most of whom are in the developmental stages of adolescence and early adulthood. This study aims to determine whether there is a difference in the level of online self-disclosure on social media between adolescent and early adult users. The quantitative survey research design was used with convenience sampling as the sampling technique. This research has 532 adolescent and early adult social media users, both from Java and outside Java, who were involved in this study. The results of the independent t-test analysis showed that there was no significant difference in online self-disclosure of adolescents and early adults. However, differences in online self-disclosure were found regarding the domicile area and duration of social media access. Users from Java and users accessing social media for 6-8 hours daily have higher online self-disclosure levels. These findings enrich the understanding of the behavior of social media users in Indonesia. Communities need to collaborate to manage social media behavior to avoid the risks of uncontrolled use of social media.
MATH 585 - TOPICS IN MATHEMATICAL PHYSICS - FALL 2006 MATHEMATICS OF MEAN FIELD SPIN GLASSES AND THE REPLICA METHOD LECTURE 7: SOLUTION OF THE C-W MODEL BY DE FINETTI'S THEOREM

This lecture is based on the paper of Fannes, Spohn and Verbeure [2], although specialized to the classical (non-quantum) setting. The presentation I give here owes a debt also to Eugene Kritchevski, [4]. To some extent, the best perspective on this approach is to first consider statistical mechanics on Z via the Gibbs variational principle and ergodic decompositions. But to digress into that subject now would take us too far astray. For independent study, we recommend the monographs of Israel [3] and Simon [7].
Analysis of the Connecting, Organizing, Reflecting and Extending (CORE) Model to Improving the Mathematical Reasoning Ability Students

The low of students' reasoning ability is caused by the teacher's lack of ideas in applying the learning model in the class. This study aims to conduct a literature review on the improvement in students' of senior high school on mathematical reasoning ability after got the connecting, organizing, reflecting and extending (CORE) model and to determine the advantages of the CORE model in mathematics learning in the class. The research used is a qualitative using the systematic literature review (SLR) method with a survey-based descriptive approach. The survey was conducted on secondary data, namely the results of basic research on the CORE model on students' mathematical reasoning abilities. The research technique used data collection, data analysis, and drawing conclusions. The results indicate that the student's responses to the CORE learning model were positive. Based on the research criteria from 8 articles, students’ can improve the mathematical reasoning after got the connecting, organizing, reflecting and extending (CORE) model, compared to students received conventional mathematics learning and the advantages of the CORE model in the class, namely developing students' activeness in learning, training memory, developing students' reasoning power, developing reasoning mathematical skills with the stages of connecting, organizing, reflecting and extending.
Characterization of uncertainty in maximum tidal elevation near Bangladesh coastline due to uncertain sea level rise

The Ganges‐Brahmaputra‐Meghna delta is vulnerable to sea level rise from global warming. Based on sea level rise predictions for the year 2100 given in the 6th Assessment Report by the Intergovernmental Panel on Climate Change (IPCC), we examine the effect of uncertainty in sea level rise on maximum tidal elevation statistics at several locations along the Bangladesh coastline using a discretized derived distribution approach. For five IPCC scenarios, the standard deviation in maximum tidal elevation including sea level rise is predicted to increase by between 3% and 61% at three different locations for a 41% increase in the standard deviation of mean sea level rise. By excluding the linear effect of sea level rise, the increase in the standard deviation of maximum tidal elevation is found to vary spatially from 2% to 68% with a 41% increase in the standard deviation of sea level rise.
The use of multi-criteria optimization to choose solutions for energy-efficient buildings

Manuscript submitted 2017-02-01, revised 2017-05-10, initially accepted for publication 2017-06-22, published in December 2017. Abstract. The goal of this paper was to optimize the building envelope and technical equipment in the building through the mitigation of the global cost value, and then to evaluate the influence of the chosen assumptions on the primary energy index. The analyses carried out using global cost method allow for finding the cost optimal solution but only for the some range of primary energy index variability. In order to find the optimal solutions it was proposed to use the multi-criteria optimisation, assuming the following as basic criteria: a global cost value and investment prices increase (economic criteria), a primary energy index (energy-related criterion), an emission of carbon dioxide (environmental criterion). The analysed case study refers to the technical solutions for the residential buildings with the usable energy demand at the level of 40 and 15 kWh/m2/a. The presented method might be applied to different types of buildings: those being designed and those being the subject of the thermo-modernisation. The results demonstrate that the proposed model allows for classification of the alternative technical solutions regarding the designing process and the building’s technical equipment. The carried out analyses indicate the economic possibility to achieve the low energy building standard and show the need to concentrate the activities related to the installation technology and used energy source.
A CLASS OF MARKOV CHAINS WITH BETA ERGODIC DISTRIBUTIONS

We study a class of discrete-time Markov chains describing random motions in the interval (0, 1). They can be viewed as modelling the motion of particles, stock price ratios, or interest rate changes. At any step, both the direction in which the particle moves, up or down, and the new position are random. The Markov chains arising in such models are ergodic and one of the problems is to find their ergodic distributions explicitly. We show, for some models, that the ergodic distributions are beta distributions for which the parameters can be specified explicitly.
Dyskeratosis congenita: natural history of the disease through the study of a cohort of patients diagnosed in childhood

Background Dyskeratosis congenita (DC) is a multisystem and ultra-rare hereditary disease characterized by somatic involvement, bone marrow failure, and predisposition to cancer. The main objective of this study is to describe the natural history of DC through a cohort of patients diagnosed in childhood and followed up for a long period of time. Material and methods Multicenter, retrospective, longitudinal study conducted in patients followed up to 24 years since being diagnosed in childhood (between 1998 and 2020). Results Fourteen patients were diagnosed with DC between the ages of 3 and 17 years (median, 8.5 years). They all had hematologic manifestations at diagnosis, and nine developed mucocutaneous manifestations during the first decade of life. Seven presented severe DC variants. All developed non-hematologic manifestations during follow-up. Mutations were identified in 12 patients. Thirteen progressed to bone marrow failure at a median age of 8 years [range, 3–18 years], and eight received a hematopoietic stem cell transplant. Median follow-up time was 9 years [range, 2–24 years]. Six patients died, the median age was 13 years [range, 6–24 years]. As of November 2022, eight patients were still alive, with a median age of 18 years [range, 6–32 years]. None of them have developed myeloblastic syndrome or cancer. Conclusions DC was associated with high morbidity and mortality in our series. Hematologic manifestations appeared early and consistently. Non-hematologic manifestations developed progressively. No patient developed cancer possibly due to their young age. Due to the complexity of the disease multidisciplinary follow-up and adequate transition to adult care are essential.
Dispersion Characteristics and Circulation Associated with Boreal Summer Westward-Traveling Mixed Rossby–Gravity Wave–Like Disturbances

AbstractAn algorithm has been developed to track synoptic-scale, westward-traveling mixed Rossby–gravity (MRG) wave–like disturbances with a cross-equatorial component. Applied to space–time-filtered meridional wind data, this algorithm finds locations with Gaussian-shaped wind structures stated in the solutions of shallow-water equations (SWEs). Based on 850-hPa meridional wind from the global National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR) dataset, local and instantaneous wave properties including the occurrence time, wavenumber, intrinsic frequency, and magnitude were examined. It was found that these low-level MRG wave–like disturbances can be classified into a longer-wavelength group and a shorter-wavelength group. While most waves identified in the eastern Pacific give longer wavelengths, disturbances in the western Pacific tend to have a wider range of wavenumbers. Composite analysis revealed that east of ~140°E, low-level disturbances are characterize.