Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinical Characterization of Pediatric Erythromelalgia: A Single-Center Case Series

Erythromelalgia is a descriptive term for severe burning pain and erythema in the distal extremities relieved by cold and exacerbated by heat. Pediatric case series to date are relatively small. We extracted and analyzed medical record data for 42 pediatric patients to describe clinical characteristics, associated conditions, and responses to treatments. Informed consent was obtained according to an IRB-approved protocol that included gene discovery. Three patients had confirmed Nav1.7 sodium channelopathies, with six additional patients under investigation with novel gene candidates. There was a female predominance (2.5:1), and the median onset age was 12 years (IQR = 3–14). Patients saw a median of three specialists (IQR = 2–3) for a diagnosis. The majority (90%) reported bilateral symptoms. Cooling methods usually provided partial relief, while heat and exercise exacerbated pain. No medication appeared to be consistently effective; commonly prescribed medications included sodium channel blockers (n = 37), topical analgesics (n = 26), gabapentin (n = 22), and aspirin (n = 15). Based on the currently published literature, we believe this cohort is the largest pediatric study of erythromelalgia to date. Many findings are consistent with those of previously published case series. Work is in progress to establish a prospective cohort and multi-center registry.
Adjusting for Measurement Error in Retrospectively Reported Work Histories: An Analysis Using Swedish Register Data

Abstract We use work histories retrospectively reported and matched to register data from the Swedish unemployment office to assess: 1) the prevalence of measurement error in reported spells of unemployment; 2) the impact of using such spells as the response variable of an exponential model; and 3) strategies for the adjustment of the measurement error. Due to the omission or misclassification of spells in work histories we cannot carry out typical adjustments for memory failures based on multiplicative models. Instead we suggest an adjustment method based on a mixture Bayesian model capable of differentiating between misdated spells and those for which the observed and true durations are unrelated. This adjustment is applied in two manners, one assuming access to a validation subsample and another relying on a strong prior for the mixture mechanism. Both solutions demonstrate a substantial reduction in the vast biases observed in the regression coefficients of the exponential model when survey data is used.
Pediatric Type 1 Diabetes: Mechanisms and Impact of Technologies on Comorbidities and Life Expectancy

Type 1 diabetes (T1D) is one of the most common chronic diseases in childhood, with a progressively increasing incidence. T1D management requires lifelong insulin treatment and ongoing health care support. The main goal of treatment is to maintain blood glucose levels as close to the physiological range as possible, particularly to avoid blood glucose fluctuations, which have been linked to morbidity and mortality in patients with T1D. Indeed, the guidelines of the International Society for Pediatric and Adolescent Diabetes (ISPAD) recommend a glycated hemoglobin (HbA1c) level < 53 mmol/mol (<7.0%) for young people with T1D to avoid comorbidities. Moreover, diabetic disease strongly influences the quality of life of young patients who must undergo continuous monitoring of glycemic values and the administration of subcutaneous insulin. In recent decades, the development of automated insulin delivery (AID) systems improved the metabolic control and the quality of life of T1D patients. Continuous subcutaneous insulin infusion (CSII) combined with continuous glucose monitoring (CGM) devices connected to smartphones represent a good therapeutic option, especially in young children. In this literature review, we revised the mechanisms of the currently available technologies for T1D in pediatric age and explored their effect on short- and long-term diabetes-related comorbidities, quality of life, and life expectation.
IMPROV: an architecture for reliable execution of dynamic service compositions

SOBRENOME, A. B. C. IMPROV: An architecture for distributed and reliable execution of dynamically built service choreographies. 2017. 88 f. Tese (Doutorado) Instituto de Matemática e Estatística, Universidade de São Paulo, São Paulo, 2010. Adaptivity is a capability that enables a system to choose amongst various alternatives to satisfy or maintain the satisfaction of certain requirements. The criteria of requirements satisfaction could be pragmatic and context-dependent. Contextual Goal Models (CGM) capture the power of context on banning or allowing certain alternatives to reach requirements (goals) and also deciding the quality of those alternatives with regards to certain quality measures (softgoals). It is used to depict facets of the decision making strategy and rationale of an adaptive system at the preliminary level of requirements. In this thesis we argue the case for pragmatic requirements and extend the CGM with additional constructs to capture them and allow their analysis. We also develop an automated analysis which aids the planning and scheduling of tasks execution to meet pragmatic goals. Moreover, we evaluate our modelling and analysis regarding correctness and performance. Such an evaluation showed the applicability of the approach and its usefulness in aiding sensible decisions. It has also shown its capability to do so in a time short enough to suit run-time adaptation decision making.
Phase transition of oscillators and travelling waves in a class of relaxation systems

The main purpose of this article is to investigate the phase transition of oscillation solutions and travelling wave solutions in a class of relaxation systems as follows \begin{eqnarray} \left\{ \begin{array}{ll} \frac{\partial u}{\partial t}=\pm u(u-a)(u-b)-v+D \frac{\partial ^{2}u}{\partial^{2} x},~~~a\neq b, \\\frac{\partial v}{\partial t}=\varepsilon( mu + nv + p ), ~~~~0<\varepsilon\ll 1,\nonumber \end{array} \right. \end{eqnarray} where $a,b,m,n,p$ are parameters in this system. By using the orbit analysis method of planar dynamical system and the homoclinic bifurcation theory, the phase transitions of the solitary oscillators, kink oscillators, periodic oscillators and travelling waves in the relaxation system above are studied. Various critical parameters of the phase transition are obtained under different parametric conditions, while various sufficient conditions to guarantee the existence of the above oscillation solutions and travelling waves are given. As some applications, this paper studied the FitzHugh-Nagumo equation, the van der Pol-equation and the Winfree generic system.
Extensive Air Shower (EAS) Development in the Upper Atmosphere: a unique environment to measure the EAS properties

The direct observation of the beamed, radio and optical Cherenkov signals from cosmic-ray induced extensive air showers (EAS) viewed above-the-Earth-limb offers a unique environment to study the EAS development in the rarified atmosphere. ANITA has measured the beamed, geomagnetic radio signal from EAS from UHECRs, and initial analysis of measurements by EUSO-SPB2 are consistent with the beamed, optical Cherenkov signal from cosmic rays above approximately 1 PeV. For an observation at 33 km altitude, the horizontal slant depth of the atmosphere corresponds to ∼ 300 g/cm 2 while the slant depth quickly increases when viewing closer to the limb. Thus, an instrument can be within the early part of the EAS development while the distance and the atmospheric absorption depth will be small for X-rays generated by high-energy electron synchrotron radiation. The rarified atmospheric environment where these EAS develop is such that the nuclear interaction length is much larger in distance that the Coulomb scattering length, providing a probe of hadronic interactions. Furthermore, the optical attenuation in for Cherenkov light is minimal for these near horizontal EAS, implying that this signal from both the EM bulk of the EAS and that from the muon tail can be both observed as well as the muons themselves. In this paper, we evaluate these disparate EAS signals, radio, optical, HE photon, and particle distributions, and outline the use of these as a tool to measure the cosmic ray and EAS properties in a shower development regime inaccessible
Campylobacteriosis in Poultry: A Review

Campylobacter is common in poultry, including layer and broiler chickens, geese, ducks, and turkeys. This review aimed to emphasize the prevalence of campylobacteriosis, recent poultry diagnoses, and strict prevention measures. Campylobacter species colonize the intestines of poultry and waterfowl but are generally nonpathogenic in poultry. However, they are the most common bacterial cause of sporadic human enteritis in both developed and developing countries. The main species responsible for campylobacteriosis is Campylobacter jejuni, followed by Campylobacter coli. A number of other Campylobacter species, such as Campylobacter lari, fetus, upsaliensis, and hyointestinalis are rarely associated with campylobacteriosis. Campylobacter hepaticus is the species linked to spotty liver disease in layers and breeder chickens, and it may be the etiological agent of the disease previously known as avian vibrionic hepatitis. The most prevalent infection source for Campylobacter is environmental contamination from poultry droppings. However, some Campylobacter species can be transmitted vertically, either on the surface of eggs or via trans-ovarian transmission in addition to consumption of contaminated feed or water. Due to the non-specific clinical signs such as diarrhea and weight loss, diagnosing campylobacteriosis in poultry requires culture or polymerase chain reaction tests. Little is known about the available vaccine or effective antibiotic treatment due to the rapid development of antibiotic resistance. Therefore, strict biosecurity measures play a crucial role in preventing Campylobacter infection in commercial poultry. These measures include decontaminating housing between flocks, preventing the entry of rodents, wild birds, and animals, and eradicating insects. To control campylobacteriosis and reduce infection risks, it is important to implement efficient on-farm biosecurity measures, conduct regular inspections of workers at meat processing plants and poultry farms, and ensure thorough preparation of chicken meat and eggs before consumption. These measures are vital in minimizing the Campylobacter transmission from both broiler and laying chickens, thereby reducing the risk of foodborne diseases caused by contaminated food.
Impaired Repopulating Ability of Uhrf2−/− Hematopoietic Progenitor Cells in Mice

UHRF proteins catalyze the ubiquitination of target proteins and are involved in regulating gene expression. Some studies reported a reduced expression of UHRF2 in acute leukemia cells, but the role of UHRF2 in hematopoiesis remains unknown. Here, we generated Uhrf2−/− mice to clarify the role of UHRF2 deletion in hematopoiesis. Compared to Uhrf2+/+ mice, Uhrf2−/− mice showed no differences in complete blood counts, as well as bone marrow (BM) findings and spleen weights. Proportions of cells in progenitor fractions in BM were comparable between Uhrf2+/+ mice and Uhrf2−/− mice. However, in competitive repopulation assays with BM transplants (BMT), the proportions of Uhrf2−/− cells were decreased relative to Uhrf2+/+ cells in all lineages. After the second BMT, Uhrf2−/− neutrophils were few, while 20–30% of Uhrf2−/− T cells and B cells were still detected. RNA sequencing showed downregulation of some genes associated with stem-cell function in Uhrf2−/− hematopoietic stem/progenitor cells (HSPCs). Interestingly, trimethylated histone H3 lysine 9 was increased in Uhrf2−/− HSPCs in a cleavage under targets and tagmentation assay. While UHRF2 deletion did not cause hematologic malignancy or confer a growth advantage of HSPCs, our results suggest that UHRF2 may play a role in the regulation of hematopoiesis.
Using GOES layer average specific humdity (GLASH) and Lagrangian reverse domain filling trajectories to forecast Stratospheric/Tropospheric Exchange (STE)

The goal of this research effort was to forecast the location of ozone enhancements in the troposphere that result from Stratospheric/Tropospheric Exchange (STE). Reverse domain filling (RDF) trajectories and Lagrangian Liapunov exponents were used to develop a mixing forecast for the upper-troposphere. Lagrangian simulations capture filamentary tracer structures associated with isentropic mixing, or stirring. Stirring is derived from shear in the large-scale flow and distorts the shape of air parcels through a process known as chaotic advection. Liapunov exponents provide a measure of this stretching rate, the deformation of the flow by velocity shear. The RDF technique has been successfully applied to diagnose mixing in the stratosphere (Pierce et al., 1993), and has been shown to simulate the physical cascade of tracer variability to smaller scales. The development of filaments in the upper troposphere should enhance the efficiency of small-scale mixing along the boundary between moist subtropical tropospheric air and dry, ozone-rich stratospheric air. Image loops of GOES Layer Average Specific Humidity (GLASH) a derived product (and a conservative quantity) appear to capture these filamentation and fragmentation processes that we associate with STE. In this sense, they have operational value, allowing us to diagnose STE in near real-time. We used both satellite imagery and sonde observations of upper tropospheric ozone to evaluate RDF forecasts made during the recent summer 2004 NASA INTEX mission. We also illustrate the value of post-mission RDF analyses to diagnose mixing in an event of STE observed during the 2000 Tropospheric Ozone Production about the Spring Equinox (TOPSE) field mission.
When Tradition Meets Modernity: The Adaptation of Bajau Community in Malaysia Amidst Sociocultural Transformation

This research aims to analyze how the Bajau community in Kulambai Village, Kota Belud, Sabah, Malaysia, adapts their traditional practices in response to modernization. Modernization has brought significant changes in various aspects of life, including local culture and traditions. The Bajau community, having lived with local wisdom and distinctive traditions, now faces significant pressure to integrate with the ever-evolving modern world. This study utilizes a qualitative approach, collecting data through in-depth interviews with members of the Bajau community in Kulambai Village. Participatory observation is also conducted to understand how traditional practices interact with modern elements in daily life. The collected data are then analyzed to identify patterns and key findings related to traditional adaptation in the face of modernization. The research results indicate that the Bajau community in Kulambai Village is experiencing changes in their traditional practices in response to modernization. They face a dilemma between preserving their cultural identity and adapting to the social and economic changes brought by modernization. Factors such as education, urbanization, and media influence also affect this adaptation process. Resource limitations and challenges in maintaining local wisdom pose obstacles for the Bajau community. Nevertheless, efforts to preserve traditions and cultural values are continually made by some Bajau community groups. This research provides a deeper understanding of how the Bajau community in Kulambai Village adapts their traditional practices in the face of modernization. The results can make a significant contribution to efforts to preserve local culture and traditions amidst rapid social change. Recommendations for further research include expanding the scope of the study to Bajau communities in other regions and deepening the analysis of modernization's impact on their cultural aspects.
Molecular Descriptors Property Prediction Using Transformer-Based Approach

In this study, we introduce semi-supervised machine learning models designed to predict molecular properties. Our model employs a two-stage approach, involving pre-training and fine-tuning. Particularly, our model leverages a substantial amount of labeled and unlabeled data consisting of SMILES strings, a text representation system for molecules. During the pre-training stage, our model capitalizes on the Masked Language Model, which is widely used in natural language processing, for learning molecular chemical space representations. During the fine-tuning stage, our model is trained on a smaller labeled dataset to tackle specific downstream tasks, such as classification or regression. Preliminary results indicate that our model demonstrates comparable performance to state-of-the-art models on the chosen downstream tasks from MoleculeNet. Additionally, to reduce the computational overhead, we propose a new approach taking advantage of 3D compound structures for calculating the attention score used in the end-to-end transformer model to predict anti-malaria drug candidates. The results show that using the proposed attention score, our end-to-end model is able to have comparable performance with pre-trained models.
Evaluating the Service Performance Measurement in PT. ASABRI (Persero) Balikpapan Branch Office, Indonesia

State-Owned Enterprise (BUMN) is one of the contributors to the State Budget in terms of non-tax state revenue. BUMN dividends as a share of the government, the performance of BUMN has partially contributed to the realization of state revenues. This study seeks to evaluate the service performance measurement in PT. ASABRI (Persero) Balikpapan Branch Office, Indonesia. This study uses Important Performance Analysis (IPA) on 70 personnel of ASABRI. The result indicates that expectations and reality, the satisfaction level of respondents (ASABRI participants/heirs) was 95.23 percent, indicating that ASABRI participants/heirs were very satisfied with the services provided by the PT. ASABRI (Persero) Balikpapan Branch Office. The overall gap value is calculated based on the difference between the actual level of performance with the expected level. All show a positive value (+), meaning that the management of PT ASABRI (Persero) Balikpapan Branch has provided services according to the needs of ASABRI participants and management has provided satisfactory service to the participants.
A Study of Inertia Force Identification by Inverse Method Between Cantilever Structure and Moving Mass

In this paper, an inverse method which formed by two different parts: Kalman filter part and recursive least-square algorithm part is applied to solve an identification problem of the inertia force between a cantilever beam and a moving mass. Based on the basic Euler-Bernoulli beam model, the discretized state space model of the cantilever beam and moving mass system, which transform from the differential equations about the inertia force and modal responses of the cantilever beam, is established. Both the recursive inverse method and the traditional least square method are adapted to the none-noise and noise simulation deflection data which is obtained by the finite element method. The results show that although both two algorithms can bring good results in dealing with the none-noise data, the inverse method has a strong ability to estimate the inertia force in the strong-noise environment, where the traditional least square method fails. Finally, a field experiment is conducted and the identification results show that the recursive inverse method can be adapted to estimate the inertia force between the cantilever and moving mass successfully.
Food Sources of Animal Protein in Relation to Overall and Cause-Specific Mortality—Causal Associations or Confounding? An Analysis of the EPIC-Heidelberg Cohort

While prior prospective iso-caloric substitution studies show a robust association between higher intake of animal protein and risk of mortality, associations observed for mortality risk in relation to major food sources of animal protein have been generally more diverse. We used the EPIC-Heidelberg cohort to examine if confounding, notably, by smoking, adiposity, or alcohol intake, could cause inconsistencies in estimated mortality hazard ratios (HR) related to intake levels of different types of meat and dairy products. Higher intakes of red or processed meats, and lower intakes of milk or cheese, were observed among current heavy smokers, participants with obesity, or heavy alcohol drinkers. Adjusting for age, sex, and total energy intake, risk models showed increased all-cause, cardiovascular, and cancer-related mortality with higher red or processed meat intakes (HR ranging from 1.25 [95% confidence interval = 1.15–1.36] to 1.76 [1.46–2.12] comparing highest to lowest tertiles), but reduced risks for poultry, milk, or cheese (HR ranging from 0.55 [0.43–0.72] to 0.88 [0.81–0.95]). Adjusting further for smoking history, adiposity indices, alcohol consumption, and physical activity levels, the statistical significance of all these observed was erased, except for the association of processed meat intake with cardiovascular mortality (HR = 1.36 [CI = 1.13–1.64]) and cheese intake with cancer mortality (HR = 0.86 [0.76–0.98]), which, however, were substantially attenuated. These findings suggest heavy confounding and provide little support for the hypothesis that animal protein, as a nutrient, is a major determinant of mortality risk.
Enabling Business Analytics in SMEs: The Trivi Open-source System

The purpose of this project is to propose an open-source system, called the Trivi system, for enabling business analytics in small and medium-sized enterprises (SMEs). The paper presents the key activities of the project development, including problem identification and motivation, objective definition, design and development, demonstration, and evaluation. The project’s main outcomes are a knowledge development process, a set of use cases related to business analytics techniques in SMEs, and a general architecture for business analytics systems. Moreover, a four-level service architecture (data, information, analytics, and decision services) of the Trivi system is proposed, and a case study about the first validation for the cultural sector is presented.
Distinguishing Genetic Drift from Selection in Papillomavirus Evolution

Pervasive purifying selection on non-synonymous substitutions is a hallmark of papillomavirus genome history, but the role of selection on and the drift of non-coding DNA motifs on HPV diversification is poorly understood. In this study, more than a thousand complete genomes representing Alphapapillomavirus types, lineages, and SNP variants were examined phylogenetically and interrogated for the number and position of non-coding DNA sequence motifs using Principal Components Analyses, Ancestral State Reconstructions, and Phylogenetic Independent Contrasts. For anciently diverged Alphapapillomavirus types, composition of the four nucleotides (A, C, G, T), codon usage, trimer usage, and 13 established non-coding DNA sequence motifs revealed phylogenetic clusters consistent with genetic drift. Ancestral state reconstruction and Phylogenetic Independent Contrasts revealed ancient genome alterations, particularly for the CpG and APOBEC3 motifs. Each evolutionary analytical method we performed supports the unanticipated conclusion that genetic drift and different evolutionary drivers have structured Alphapapillomavirus genomes in distinct ways during successive epochs, even extending to differences in more recently formed variant lineages.