Miracle-dz/UniFAR-FTUs huggingface dataset:
Thyroid Predictors of Postpartum Mood Disorders

Postpartum mood disorders (PMD) are currently among the leading causes of maternal postpartum morbidity and mortality. PMD include the conditions of postpartum blues (PB), postpartum depression (PPD), and postpartum psychosis. The pathogenesis of PMDs are ambiguous, and there are no reliable prenatal predictive markers despite current research efforts. Even though reliable indicators have not been found, leading ideas suggest an etiology of hormonal fluctuations. Although thyroid markers have long been linked to psychiatric disorders such as major depressive disorder (MDD), how they correlate with PMDs is still unclear. This study aimed to evaluate the pathophysiological link between thyroid function, PMDs, and the usefulness of thyroid markers as indicators of their occurrence and severity. The methodology consisted of a narrative literature review. Several inclusion and exclusion criteria were used to filter the results of literature searches in PubMed. Studies were included if they discussed any marker related to thyroid endocrinology in relation to the incidence or pathophysiology of any PMD. Both primary and secondary analyses were included. The permissive inclusion criteria were used due to the relative scarcity of research on the topic and the ambiguous pathophysiology of PMD. The results demonstrated the potential utility of thyroid autoimmunity as a predictor of late-onset PPD. Hypothyroidism, low euthyroid hormone levels, and the presence of thyroid autoantibodies were correlated with increased incidence of PPD and late postpartum depressive symptoms, past the timeline of PB. Most notably a rapid postpartum drop in cortisol level may precipitate thyroid autoimmunity in anti-thyroid peroxidase (TPO) antibody positive women, which could eventually produce a hypothyroid phase associated with depressive symptoms. There was insufficient evidence to suggest a relationship with postpartum psychosis. In conclusion, the exact pathophysiological mechanisms of PMDs remain ambiguous, but TPO-antibodies in the third trimester may be a predictor of late PPD.
Analyzing Behavioral Data for Refining Cognitive Models of Operator

We present a methodology and a loo1 for analyzing the activity of an operator interacting with a complex technical device. The goal is of reJning cognitive models of the operator by relating them to patterns of behavior in real situations. The activity is observed to be modeled as a trace having a graph structure The trace is transJbrmed according to metadata in order to become meaningfkl in the context of modeling theories. Our "Trace Based System" thus gathers both a representation of the activity and a representation of the analyst's expertise, for facilitating the discovery of knowledge in the jeld of cognitive psychology. The approach is illustrated by its application for car driver cognitive modeling.
Deterministic Solutions to Improved Generalized Joined Coupler Matrix for Multibeam Antennas

Analog beamforming for multibeam antennas is envisioned as a key enabling technology for next-generation mobile communications and sensing networks. Whilst many existing analog multibeam antennas have limited beam forming and steering capabilities, a recently developed generalized joined coupler (GJC) matrix makes it possible to form multiple beams in any direction and steer them independently by tuning the phase shifters. In this work, we propose a novel design method for the GJC matrix by jointly designing both the directional couplers and phase shifters instead of the published coupler-only optimization, thus significantly enhancing the beamforming performance of the GJC matrix. To this end, we derive deterministic solutions to solve the parameters of the directional couplers and phase shifter values beam-by-beam. Specifically, we present algorithms to design Blass-like and Nolen-like GJC matrices. It is further shown that the derived solutions are exact for a full-dimensional Nolen-like GJC matrix to generate orthogonal beams of any dimension. Based on the theoretical analysis, we propose an improved architecture for implementing the GJC matrix. Extensive simulation and numerical results are provided to validate the high performance of the proposed designs and their superiority over the prior art in various low-sidelobe beamforming and beam steering scenarios.
A meta-analysis of the effects of gamma irradiation on biochemical and physical characteristics of honey

Gamma irradiation can be used to sterilize honey products. Many previous reports related to biochemical, physical characteristics and antibacterial activity on irradiated honey have not been combined into one quantitative report. Therefore, this study was conducted to determine the effects of gamma irradiation on biochemical and physical characteristics of honey. The source of data in meta-analysis study was conducted on search engines (Scopus®, PubMed®, and Google scholar®), searched with “irradiation”, “gamma”, and “honey” as keywords. Data on gamma irradiation dosage and characteristics of honey were extracted from 12 articles and 44 studies (control vs. irradiated honey). The meta-analysis results showed that gamma irradiation reduced moisture content (p < 0.01). However, gamma irradiation had no effect on viscosity, sugars, total soluble solids, and ash content. It is interesting to note that gamma irradiation significantly increased flavonoid and phenolic compounds (p < 0.01). Gamma irradiation also reduced the level of microorganism in honey (p < 0.01), as reported in total aerobic plate count variable. In summary, except for moisture and vitamin C, gamma irradiation did not influence biochemical characteristics of honey. Gamma irradiation also had no effect on viscosity as physical parameters.
Five Steps to Establish Software Performance Engineering in Your Organization

Most software performance problems are due to fundamental architecture or design problems. Thus they are introduced early in development, but are typically not discovered until late, when they are more difficult and costly to fix. Software Performance Engineering (SPE) is a systematic, quantitative approach for cost-effectively building performance into software systems. It consists of a process for applying the SPE methods throughout the life cycle of new systems; data required for SPE studies; software and system execution models for quantitative performance assessments; and other techniques for success application to software projects. This paper covers the essential steps for establishing an SPE capability in your organization. It describes each step and gives pointers to additional information that will help you implement them in your organization.
Optimization of ICANet lightweight human pose estimation based on HRNet

The existing high-resolution human pose estimation models have low applicability in practical applications due to their large parameter quantity and high computational complexity. To address these issues, this paper proposes a human pose estimation network with a lightweight inverted residual coordinate attention network (ICANet) based on the high-resolution network (HRNet). With the introduction of CoordAttention mechanism and the inverted residual module, this paper proposes two lightweight network modules, namely ICAneck and ICAblock, which not only reduce model parameter quantity and computational complexity, but also achieve feature enhancement of long-range dependence and precise position information in spatial directions of the feature map. Experimental results show that compared to HRNet, the ICANet model proposed in this paper reduces its parameter quantity by 53.7% and computational complexity by 32.4% on the COCO validation set, and lowers its parameter amount by 53.7% and computational complexity by 32.6% on the MPII validation set. Practical applications prove that ICANet still achieves high-precision detection of human key points with fewer parameters and lower computational complexity, and has higher applicability and practicality compared with common human pose estimation networks such as the Stacked Hourglass Network (Hourglass), Cascaded Pyramid Network (CPN), and SimpleBaseline, and therefore has better applicability and practicality.
Amorphophallus muelleri blume diversity based on morphological characteristics in South Sulawesi

Porang is an alternative carbohydrate source plant that contains the highest glucomannan among other Amorphophallus species in Indonesia. Amorphophallus muelleri Blume is an important species of the genus Amorphophallus, which belongs to the same subspecies A. bulbifer and A. yuloensis. A. muelleri Blume has good disease resistance and heat tolerance tendency, and high KGM content. Kinship relationships can be used as a basis for assembling more potential genotypes. To find out the kinship between existing varieties we must exploration and identify. This research was carried out using qualitative methods analysed in the numerical taxonomy and multivariate analysis system version 2.02i (NTSYS) program. The genetic materials used in this study were explored from wild growing habitat in agroforestry areas in South Sulawesi, Indonesia. The results obtained that the MR6 and BL10 genotypes which had a similarity coefficient value of 1.00, between genotypes MR4, MR9, MR10, BT4 and BT10 had a similarity coefficient value of 1.00, between genotypes BT5 and BT7 have a similarity coefficient value of 1.00, and between genotypes BT1, BT2, BT9 have a similarity coefficient value of 1.00. Furthermore, BL1, BL4, and BL6 contribute significantly of the variation as showed by PC1.
The Vaisala RS-80H Radiosonde Dry-Bias Correction Redux

In previous studies (e.g., Lesht 1997, 1998, 1999; Lesht and Richardson 2001; Richardson et al. 2000) we examined the effects of dry bias in Vaisala RS-80H radiosonde humidity measurements on Atmospheric Radiation Measurement (ARM) data. Some of this analysis was done by using a preliminary version of a humidity correction algorithm that was developed by Vaisala in conjunction with their colleagues at the National Center for Atmospheric Research (NCAR). Because Vaisala insisted that the information included in the algorithm be proprietary, we were required to execute a non-disclosure agreement before we could obtain a version of the algorithm sufficiently detailed for us to test and apply. Under the terms of this agreement, we were not permitted either to describe the details of the algorithm or to distribute computer code incorporating it. Recently, however, researchers from NCAR and Vaisala have had an explanation of the correction process, and an example of its application to data from Tropical Ocean Global Atmosphere-Coupled Ocean Atmosphere Response Experiment (TOGA-COARE), accepted for publication (Wang et al. 2002). Although the fundamental aspects of the algorithm described by Wang et al. (2002) are identical to those we previously used in correcting ARM data, there are some important differences. The purpose of this paper is to describe the current algorithm as implemented by ARM and to evaluate the effects of the differences between the current and earlier versions of the algorithm on our analysis of ARM data.
Transferring four-dimensional atomic states at one step between separated cavities

This paper is concentrated on one-step transferring four-dimensional atomic states between atoms trapped in distant cavities connected by an optical fiber. Compared with the conventional schemes, one-step transferring four-dimensional atomic states means higher efficiency in preparing quantum network. In addition, we also calculate the effects of photon leakage out of cavity and fiber in this quantum process. The result shows the high fidelity can be reached based on the current experimental conditions.
Relating the Experimental Ionization Coefficients in Semiconductors to the Nonlocal Ionization Coefficients

The experimentally determined impact ionization coefficients, α'(β'), include intrinsically the presence of a dead-space, where carriers cannot impact ionize as they do not have sufficient energy. These, therefore, cannot be used by nonlocal ionization models, which require the enabled ionization coefficients, α*(β*), which describe the ionization probability after the dead-space. A relatively simple relationship is shown to exist between α'(β') and α*(β*), which requires only the knowledge of the carrier threshold energies. This allows α'(β'), conventionally limited to the local model framework, to be used to give a very good prediction of the avalanche multiplication and excess noise for a wide range of device widths down to 0.05 μm, where the dead-space effect is significant. Parameterized values of α'(β') and the carrier threshold energies are listed for a range of commonly used III-V semiconductors lattice matched to GaAs and InP substrates, as well as Si and SiC.
¿Calidad educativa on-line?: Análisis de la calidad de la educación universitaria basada en internet.

Esta investigacion identifica 24 indicadores considerados esenciales para asegurar la calidad en la educacion a distancia basada en Internet. Los indicadores estan divididos en siete categorias actualmente utilizados en diferentes universidades. Desarrollamos una investigacion cuantitativa-cualitativa con estudiantes, profesores, tecnologos y administradores. Los resultados demostraron que la mayoria de los indicadores de calidad para la educacion a distancia basada en Internet fueron considerados importantes, y que las instituciones procuraban incorporarlas en sus politicas, practicas y procedimientos.
A New Integrated Approach for Fast Intrinsic Dielectric Breakdow

A non-equilibrium phenomenological description for a complete dielectric breakdown sequence in perfect solid electric insulators, from the dynamics of instability to the growth of branching patterns, is implemented. It represents an original treatment which allows overcoming the current lack of such a complete physical description, involving thermodynamics, and in particular equations on maximum dissipation energy for dielectric breakdown are developed. From the assumption that there is a time delay in the energy rates and propagation speeds between the system input and output, a principle of maximum energy dissipation is postulated and corresponding dynamic evolution equations were obtained. It is shown that the delay in those speeds gives rise to the appearance of iterated equations which in turn leads to the logistic maps describing the dynamic evolution of the system. The results can describe the instability process along with dissipation patterns formation. The vast theoretical and experimental analogies between mechanical fracture and dielectric rupture, lead us to foresee the potential applicability of this model in the prediction of dielectric rupture patterns. This work opens then the possibility to predict the consequent branching patterns by using a maximum energy dissipation principle, contributing in a significant way for energy efficiency engineering.
An elite approach to re-design Aquila optimizer for efficient AFR system control

Controlling the air-fuel ratio system (AFR) in lean combustion spark-ignition engines is crucial for mitigating emissions and addressing climate change. In this regard, this study proposes an enhanced version of the Aquila optimizer (ImpAO) with a modified elite opposition-based learning technique to optimize the feedforward (FF) mechanism and proportional-integral (PI) controller parameters for AFR control. Simulation results demonstrate ImpAO’s outstanding performance compared to state-of-the-art algorithms. It achieves a minimum cost function value of 0.6759, exhibiting robustness and stability with an average ± standard deviation range of 0.6823±0.0047. The Wilcoxon signed-rank test confirms highly significant differences (p<0.001) between ImpAO and other algorithms. ImpAO also outperforms competitors in terms of elapsed time, with an average of 43.6072 s per run. Transient response analysis reveals that ImpAO achieves a lower rise time of 1.1845 s, settling time of 3.0188 s, overshoot of 0.1679%, and peak time of 4.0371 s compared to alternative algorithms. The algorithm consistently achieves lower error-based cost function values, indicating more accurate control. ImpAO demonstrates superior capabilities in tracking the desired input signal compared to other algorithms. Comparative assessment with recent metaheuristic algorithms further confirms ImpAO’s superior performance in terms of transient response metrics and error-based cost functions. In summary, the simulation results provide strong evidence of the exceptional performance and effectiveness of the proposed ImpAO algorithm. It establishes ImpAO as a reliable and superior solution for optimizing the FF mechanism-supported PI controller for the AFR system, surpassing state-of-the-art algorithms and recent metaheuristic optimizers.
Effect of sample preparation and scanning resolution on the Blue Reflectance of Picea abies

Assessing past and recent climate variability is an important task in environmental change research. Various methods and techniques have been developed in order to generate high-quality proxy data. In Tree-rings, which are perhaps the most important annually resolved proxy that spans the past millennium (Esper et al. 2004), particularly strong climate signals have been achieved by measuring maximum latewood density (MXD) using the widely established X-ray method (Polge 1966, Schweingruber 1988, Parker et al. 1978, D’Arrigo et al. 2000, Cown et al. 2004). Such data have been produced to successfully reconstruct past temperature variations from far northern (Briffa et al. 2001) and high elevation (Buntgen et al. 2006) environments, based on various conifer species. In praxis, the application of this technique is not directly accessible for many researchers due to costly equipment, a laborious sample preparation and time consuming measurement procedures. For this reason, efforts have recently been made to either increase the efficiency of X-ray densitometry (Bergsten et al. 2001) or develop alternative paleoclimate proxies which are as reliable as the X-ray based MXD method, but can be applied more readily and efficiently (Frank 1998, Sheppard et al. 1996, Schinker et al. 2003). McCarroll et al. (2002) assessed the suitability of multiband digital images (RGB) of pine (
Psychometric properties and measurement invariance of the Arabic Self-Care Inventory

Background Self-care is a fundamental aspect of health and well-being for healthy individuals and those with chronic illnesses. However, the available self-care measurement instruments have limited support regarding their psychometric properties. Research about the validation of comprehensive, theory-based self-care tools in the Arabic language and culture is also limited. In addition, many self-care measurement tools are available only for people with chronic illnesses. Objective To examine the psychometric properties of the Arabic version of the Self-care Inventory (SCI) in the general adult population in Jordan. Methods This study was conducted using a cross-sectional design. Data collection was performed using a demographics questionnaire, and Arabic versions of the SCI, Self-care Self-Efficacy, and the Center for Epidemiologic Studies Depression Scale-revised. SPSS and AMOS were used to analyze the data. Data analysis was conducted by performing confirmatory factor analysis, measurement invariance, internal consistency, and bivariate correlations. Results The results revealed that the SCI comprises three scales: self-care maintenance, self-care monitoring, and self-care management. The goodness of mode fit indices showed that the models of these scales fit the data well by meeting the following set a priori criteria: (RMSEA < .07, CFI > .95, and X2/df < 5). The factor loadings of the individual items of the SCI provided further evidence about the factor structure of the three scales. Regarding measurement invariance, the results indicated that partial invariance across participants’ sex is assumed. The values of both Cronbach’s α and composite reliability showed that the internal consistency of the SCI is supported. Cronbach’s α of the self-care maintenance, self-care monitoring, and self-care management were . 82, . 86, and . 83, respectively. Conclusion The psychometric properties of the Arabic version of the SCI demonstrate its validity and reliability as a robust assessment tool for measuring self-care in the general adult population.
Characteristics of carpal tunnel syndrome in patients with cervical radiculopathy: A cross‐sectional study

Cervical radiculopathy (CR) is a group of signs and symptoms caused by cervical root dysfunction. Patients with this condition may also have carpal tunnel syndrome (CTS), which is caused by compression of the median nerve in the carpal tunnel. This coexistent condition is referred to as double crush syndrome (DCS) which is explained by proximal disruption in axoplasmic flow that may result in nerve dysfunction. Yet, the accuracy of this hypothesis remains controversial.
A Complicated Case of Aspirin-Exacerbated Respiratory Disease With Kounis Syndrome

Kounis syndrome is angina or acute coronary syndrome caused by mast cell degranulation and inflammatory cell activation. We present a case of a patient with underlying aspirin-exacerbated respiratory disease (AERD) and previous anaphylaxis to aspirin. The patient underwent aspirin desensitization and was then treated with high-dose aspirin. Unfortunately, he developed recurrent angina and myocardial infarction (MI). Numerous left heart catheterizations revealed vasospasms as the etiology of his MIs; however, therapy with increasing doses of vasodilators yielded no improvement in the patient’s condition. Ultimately the patient’s aspirin was discontinued and he had no recurrence of angina or MI.
Calcium channel β3 subunit regulates ATP-dependent migration of dendritic cells

Migratory dendritic cells (migDCs) continuously patrol tissues and are activated by injury and inflammation. Extracellular adenosine triphosphate (ATP) is released by damaged cells or actively secreted during inflammation and increases migDC motility. However, the underlying molecular mechanisms by which ATP accelerates migDC migration is not understood. Here, we show that migDCs can be distinguished from other DC subsets and immune cells by their expression of the voltage-gated calcium channel subunit β3 (Cavβ3; CACNB3), which exclusively facilitates ATP-dependent migration in vitro and during tissue damage in vivo. By contrast, CACNB3 does not regulate lipopolysaccharide-dependent migration. Mechanistically, CACNB3 regulates ATP-dependent inositol 1,4,5-trisphophate receptor–controlled calcium release from the endoplasmic reticulum. This, in turn, is required for ATP-mediated suppression of adhesion molecules, their detachment, and initiation of migDC migration. Thus, Cacnb3-deficient migDCs have an impaired migration after ATP exposure. In summary, we identified CACNB3 as a master regulator of ATP-dependent migDC migration that controls tissue-specific immunological responses during injury and inflammation.