Miracle-dz/UniFAR-FTUs huggingface dataset:
Hybridization of Metaheuristic Algorithms for Optimal Location and Capacity in Radial Distribution System

The objective of this research is to find the impact of Distributed Generation (DG) on radial system intend to enhance the performance of given network by minimizing power losses and enhancement of voltage. DG placement will definitely have an impact on performance of the grid. Introduction of nonconventional energy resources to the existing conventional grid will affect the system performance. In this paper proposing one algorithm to get optimal capacity and placing of various DG types. Initially system real and reactive power losses and each bus voltage are investigated by Backward and Forward Sweep (BW/FWS) approach. Then Gravitational Search Analysis (GSA) approach is used to investigate system parameters. Then these obtained parameters are validated with proposed algorithm having unity power factor condition. All these approaches will be applied on IEEE-33 and IEEE-69 buses. This research carried out using MATLAB simulation to find the allocation of DGs optimally.
Use of comparative classification techniques to build a system for diagnosing heart diseases

Heart diseases are among the most prevalent diseases, especially in our Yemeni situation, because of the lack of health culture in the community, lack of attention to health care, and costs of medical diagnosis in medical examination and consultation. Accurate and fast computer systems help to diagnose diseases, including heart diseases. In this article, heart disease symptom data were studied, analyzed, and classified using different classification techniques (Naive Bayes id3, j48, Decision Table, Cart, and ANN) to classify and diagnose common heart diseases and compare the results of the different analyses to see which provides better classification and diagnosis. The amount of distortion in the data used (training group) was calculated using entropy to build the decision tree. Many of the medical causes used in the analysis were reviewed through patient records and the symptoms of heart diseases helped in building and designing a web-based system that helps diagnose heart diseases. Some of the techniques mentioned earlier are simulated through the system interfaces, through which the patient can enter their pathological symptom data to make diagnosis.
PPG Noise Reduction based on Adaptive Frequency Suppression using Discrete Fourier Transform for Portable Home Monitoring Applications

Photo-plethysmogram (PPG) is the most widely monitored signal for the personalized home monitoring applications and wearable devices. PPG data recorded by such devices are often corrupted with different artifacts which significantly affects the diagnosis accuracy. Use of complex noise reduction techniques based on advanced signal processing tools is unsuitable for implementation in such devices due to their limited computational ability and power requirement. This paper proposes a noble and simple algorithm for noise reduction from PPG data. It is based on the removal of the noise frequencies by suppression of the corresponding Discrete Fourier Transform coefficients. The frequency components to be suppressed are chosen adaptively based on the individual signal characteristics. The performance of the algorithm is extensively tested with data collected from the MIMIC II Waveform database and with real data collected using the Biopac MP-150 data acquisition system for different types of added noises. Apart from displaying significant noise reduction ability as quantified by the SNR Improvement factor, the algorithm also well maintains the signal morphology. Moreover, the simplicity and ease of implementation of the proposed technique make it highly suitable for implementation in the portable home monitoring applications.
Probabilistic Load Flow Based on Bivariate Dimension Reduction and Johnson System

A probabilistic load flow (PLF) is an effective tool that helps describe the uncertainty of power system operation. However, when confronting random variables with non-Gaussian distributions and highly discrete characteristics, existing PLF methods have difficulty balancing efficiency and accuracy. Therefore, a novel approach based on bivariate dimension reduction (BDR) and the Johnson system is proposed herein. BDR is used to estimate the moments of output random variables (ORVs). Because BDR considers the joint effect of input random variables, it significantly reduces the estimation error for high-order moments in particular. In addition, a strategy to improve BDR efficiency is proposed. The Johnson system is used to obtain the probability distributions of ORVs as it has better adaptability and accuracy than the series expansion method. Case studies including comparisons between this approach and others found in the literature were conducted, and the results obtained showed that the proposed method has better performance than previous approaches.
The Heterogeneous Impact of Financial Development on Green Total Factor Productivity

This study examines the heterogeneous impact of financial development on green total factor productivity for 40 countries over the period 1991 to 2014. Specifically, this paper describes financial development from the three aspects of banking, securities, and insurance. In developing countries, an inverted U-shaped relationship exists between financial development and green total factor productivity, whether it is in bank development, securities development, or insurance development. In developed countries, the development of bank and insurance tends to adversely affect green total factor productivity, while the development of securities has always had a positive impact on green total factor productivity. Securities development is more conducive to improving green total factor productivity than bank development.
Primary Metabolism Is Distinctly Modulated by Plant Resistance Inducers in Coffea arabica Leaves Infected by Hemileia vastatrix

Epidemics of coffee leaf rust (CLR) leads to great yield losses and huge depreciation of coffee marketing values, if no control measures are applied. Societal expectations of a more sustainable coffee production are increasingly imposing the replacement of fungicide treatments by alternative solutions. A protection strategy is to take advantage of the plant immune system by eliciting constitutive defenses. Based on such concept, plant resistance inducers (PRIs) have been developed. The Greenforce CuCa formulation, similarly to acibenzolar-S-methyl (ASM), shows promising results in the control of CLR (Hemileia vastatrix) in Coffea arabica cv. Mundo Novo. The molecular mechanisms of PRIs action are poorly understood. In order to contribute to its elucidation a proteomic, physiological (leaf gas-exchange) and biochemical (enzymatic) analyses were performed. Coffee leaves treated with Greenforce CuCa and ASM and inoculation with H. vastatrix were considered. Proteomics revealed that both PRIs lead to metabolic adjustments but, inducing distinct proteins. These proteins were related with photosynthesis, protein metabolism and stress responses. Greenforce CuCa increased photosynthesis and stomatal conductance, while ASM caused a decrease in these parameters. It was further observed that Greenforce CuCa reinforces the redox homeostasis of the leaf, while ASM seems to affect preferentially the secondary metabolism and the stress-related proteins. So, the PRIs prepare the plant to resist CLR but, inducing different defense mechanisms upon pathogen infection. The existence of a link between the primary metabolism and defense responses was evidenced. The identification of components of the plant primary metabolism, essential for plant growth and development that, simultaneously, participate in the plant defense responses can open new perspectives for plant breeding programs. Graphical Abstract Main metabolic classes affected by the resistance inducers in response to coffee leaf rust.
Insights from the CIRCULAR IMPACTS case studies

III EXECUTIVE SUMMARY . 1 1 :: INTRODUCTION . 6 1.1 THE SELECTION OF CASE STUDIES . 6 1.2 METHODOLOGY FOR THE CASE STUDIES . 7 2 :: CONCRETE RECYCLING IN FRANCE . 10 2.
THE DEVELOPMENT OF NEONATAL GUT MICROBIOTA AND ITS ROLE IN HEALTH AND DISEASE

The initial microbiota formation in newborns is likely to be a critical determinant in the development of certain pediatric diseases. The process is affected by many factors such as: mode of delivery, infant gestational age and postnatal age, host genetics, feeding types and nutrition, environmental factors (familial transmission), and antibiotics and/or probiotics and prebiotics use. We review hereinafter the recent knowledge of the impact of both mode of delivery and newborn diet on gut microbiota development and we also discuss the link between neonatal gut microbiota and stress-related behaviors.
Non-replicating Vaccinia Virus TianTan Strain (NTV) Translation Arrest of Viral Late Protein Synthesis Associated With Anti-viral Host Factor SAMD9

NTV is a highly attenuated virus that was created by genetically deleting 26 genes related to host range and virulence from TianTan strain. Since NTV is highly attenuated, it has been used widely as an optimizing viral vector. In this study, we explored the biological characteristics in vitro and the host restriction mechanism of NTV. Most cell lines do not support sufficient dissemination and replication of NTV, and in non-permissive cell line HeLa, the replication block of NTV occurred at the translation stage of viral late protein expression. Lack of PKR activity was not sufficient to rescue expression of viral late proteins and replication, even though the phosphorylation level of eIF2α increased in NTV-infected HeLa cells. Moreover, the translation inhibition of NTV in HeLa cells was dependent upon a SAMD9 signaling pathway, as demonstrated by silencing SAMD9 expression with siRNA and observing the colocalization of SAMD9 and AVGs. Reinserting C7L or K1L into NTV rescued the late viral protein expression and replication of NTV in HeLa cells. Among the genes deleted in NTV, C7L or/and K1L gene was mainly responsible for its replication defect. Protein C7 interacted with SAMD9, which antagonized the antiviral response of SAMD9 to ensure viral protein translation and replication of NTV in non-permissive cell lines. Our finding will serve as a baseline for modification of NTV in future application.
EVALUATION OF SPINO-PELVIC PARAMETERS ACCORDING TO INTRAOPERATIVE POSITION IN LUMBOSACRAL SPINE ARTHRODESIS

Study conducted by the Spine Surgery Group, Department of Orthopedics and Traumatology, Faculdade de Ciências Médicas da Universidade Estadual de Campinas (Unicamp), Campinas, SP, Brazil. Correspondence: Departamento de Ortopedia e Traumatologia – Área de Cirurgia da Coluna. Faculdade de Ciências Médicas – Unicamp. Rua Tessália Vieira de Camargo, 126. Cidade Universitária “Zeferino Vaz”. Campinas, SP. Brasil. 13083-887. madson83@gmail.com; mrisso@mpc.com. br ABSTRACT
Postprandial Glycemia, Insulinemia, and Antioxidant Status in Healthy Subjects after Ingestion of Bread made from Anthocyanin-Rich Riceberry Rice

Riceberry rice, a gluten-free grain, contains many nutrient components, including carbohydrates, proteins, certain fatty acids, and micronutrients, as well as bioactive non-nutrient compounds, such as polyphenolic compounds. This study aimed to evaluate the effect of bread made from anthocyanin-rich Riceberry rice on the postprandial glycemic response, glucagon-like peptide-1 (GLP-1), antioxidant status, and subjective ratings of appetite. In the crossover design, 16 healthy participants (six men and 10 women) completed four sessions involving blood collection in the fasting state and at 30, 60, 90, 120, 150, and 180 min after food consumption (50 g of available carbohydrate) in a randomized order: 1) glucose solution, 2) wheat bread (WB), 3) Riceberry rice bread (RRB), and 4) Hom Mali bread (HMB). Consumption of RRB resulted in significantly lower postprandial plasma glucose concentration at 30 and 60 min when compared to HMB. No difference in postprandial glucose concentration between RRB and WB was observed. In addition, postprandial plasma insulin showed a significant decrease in the group which received RRB at 15 and 60 min, as compared to HMB. In comparison with 50 g of glucose, as a reference, the glycemic index (GI) of RRB, WB, and HMB was 69.3 ± 4.4, 77.8 ± 4.6, and 130.6 ± 7.9, respectively. Interestingly, the ferric-reducing ability of plasma (FRAP) level was shown to significantly increase after consumption of RRB. In the meantime, a significant decrease in the postprandial FRAP level was also observed following an intake of WB and HMB. All breads caused increases in the postprandial plasma protein thiol group and had similar effects on hunger, fullness, desire to eat, and satiety ratings. However, consumption of RRB, WB, and HMB did not change plasma GLP-1 and malondialdehyde (MDA) levels when compared to the baseline. The findings suggest that anthocyanin-rich Riceberry rice can be a natural ingredient for gluten-free bread which reduced glycemic response together with improvement of antioxidant status in healthy subjects.
Association between osteoporosis and menopause in relation to SOX6 rs297325 variant in Taiwanese women

Abstract Objective: Osteoporosis, the most prevalent bone disorder in humans, is a global public health issue and its relationship with menopause is well-established. The interaction between menopause and genes on osteoporosis risk is, however, yet to be fully elucidated. We assessed the association between menopause and osteoporosis in relation to the SOX6 rs297325 variant in Taiwanese women. Methods: There were 7,581 female participants, aged 30 to 70 years old. Information on SOX6 rs297325 and menopause were obtained from the Taiwan Biobank Database while that on osteoporosis was obtained from the National Health Insurance Research Database. Results: Menopause but not SOX6 rs297325 was significantly associated with a higher risk of osteoporosis (odds ratio [OR] = 1.48; 95% confidence interval [CI] = 1.04-2.10). The interaction between menopause and rs297325 on osteoporosis was significant (P = 0.0216). After stratification by rs297325 genotypes, the risk of osteoporosis was significantly higher in menopausal women having the TT + CC genotype (OR = 2.02; 95% CI = 1.21-3.38). After stratification by menopausal status and rs297325 genotypes, the OR; 95% CI was 0.62; 0.38 to 0.99 in premenopausal women with the TC + CC genotype and 1.24; 0.82 to 1.88 in menopausal women with the TC + CC genotype. Conclusion: SOX6 rs297325 was not significantly associated with osteoporosis but might have modulated the association between menopause and osteoporosis. The risk of osteoporosis was higher in menopausal women with the TC + CC genotype but lower in premenopausal women with the TC + CC genotype.
Genetic manipulation of transcriptional regulators alters nicotine biosynthesis in tobacco.

The toxic alkaloid nicotine is produced in the roots of in Nicotiana species and primarily accumulates in leaves as a specialized metabolite. A series of metabolic and transport genes involved in the nicotine pathway are coordinately upregulated by a pair of jasmonate-responsive AP2/ERF-family transcription factors, NtERF189 and NtERF199, in the roots of Nicotiana tabacum (tobacco). In this study, we explore the potential of manipulating the expression of these transcriptional regulators to alter nicotine biosynthesis in tobacco. Transient overexpression of NtERF189 led to alkaloid production in the leaves of N. benthamiana and N. alata. This ectopic production was further enhanced by co-overexpressing a gene encoding a bHLH-family MYC2 transcription factor. Constitutive and leaf-specific overexpression of NtERF189 increased the accumulation of foliar alkaloids in transgenic tobacco plants but negatively affected plant growth. By contrast, in a knockout mutant of NtERF189 and NtERF199 obtained through CRISPR/Cas9-based genome editing, alkaloid levels were drastically reduced without causing major growth defects. Metabolite profiling revealed the impact of manipulating the nicotine pathway on a wide range of nitrogen- and carbon-containing metabolites. Our findings provide insights into the biotechnological applications of engineering metabolic pathways by targeting transcription factors.
Hybrid algorithm based on radial symmetry and weighted least-square ellipse fitting for three-dimensional nanometer particle localization

Abstract. Choosing the localization algorithm in superresolution microscopy is an important factor in determining the resolution in such a modality. The point spread function (PSF) in defocused images has ring structures that can be used to localize the three-dimensional (3-D) position of single particles by calculating the ring center (x and y) and radius (z). As there is no well-developed mathematical model for a defocused PSF, it is difficult to perform a fitting-based algorithm in such images. A particle localization algorithm based on radial symmetry and ellipse fitting is developed to localize the centers and radii of defocused PSFs. Our method can localize the 3-D position of a fluorophore within 20-nm precision in three-dimensions in a range of 40 μm in z-dimension from defocused two-dimensional (2-D) images.
Stasis of functionally versatile specialists

A classic hypothesis posits that lineages exhibiting long‐term stasis are broadly adapted generalists that remain well‐adapted despite environmental change. However, lacking constraints that steepen adaptive peaks and stabilize the optimum, generalists’ phenotypes might drift around a broad adaptive plateau. We propose that stasis would be likely for morphological specialists that behave as ecological generalists much of the time because specialists’ functional constraints stabilize the optimum, but those with a broad niche, such as generalists, can persist despite environmental change. Tree squirrels (Callosciurinae and Sciurini) exemplify ecologically versatile specialists, being extreme in adaptations for forceful biting that expand rather than limit niche breadth. Here, we examine the structure of disparity and the evolutionary dynamics of their trophic morphology (mandible size and shape) to determine if they exhibit stasis. In both lineages, a few dietary specialists disproportionately account for disparity; excluding them, we find compelling evidence for stasis of jaw shape but not size. The primary optima of these lineages diverge little, if at all over approximately 30 million years. Once their trophic apparatus was assembled, their morphological specialization steepened the slopes of their adaptive peak and constrained the position of the optima without limiting niche breadth.
Distribution of Aromatase in the Brain of the African Cichlid Fish Astatotilapia burtoni: Aromatase Expression, But Not Estrogen Receptors, Varies with Female Reproductive-State.

Estrogen synthesis and signaling in the brains of vertebrates has pleotropic effects ranging from neurogenesis to modulation of behaviors. The majority of studies on brain-derived estrogens focus on males, but estrogenic signaling in females likely plays important roles in regulation of reproductive cycling and social behaviors. We used females of the mouth brooding African cichlid fish, Astatotilapia burtoni, to test for reproductive state-dependent changes in estrogenic signaling capacity within microdissected brain nuclei that are important for social behaviors. Expression levels of the rate-limiting enzyme aromatase, but not estrogen receptors, measured by qPCR changes across the reproductive cycle. Gravid females that are close to spawning had higher aromatase levels in all brain regions compared to females with lower reproductive potential. This brain aromatase expression was positively correlated with circulating estradiol levels and ovarian readiness. Using chromogenic in situ hybridization (ISH) we localized aromatase-expressing cells to ependymal regions bordering the ventricles from the forebrain to the hindbrain, and observed more abundant staining in gravid compared to mouth brooding females in most regions. Staining was most prominent in subpallial telencephalic regions, and diencephalic regions of the preoptic area, thalamus, and hypothalamus, but was also observed in sensory and sensorimotor areas of the midbrain and hindbrain. Aromatase expression was observed in radial glial cells, revealed by co-localization with the glial marker GFAP and absence of co-localization with the neuronal marker HuC/D. Collectively these results support the idea that brain-derived estradiol in females may serve important functions in reproductive state-dependent physiological and behavioral processes across vertebrates. This article is protected by copyright. All rights reserved.
Within-person increase in pathological worry predicts future depletion of unique executive functioning domains

Abstract Background Affective neuroscience and scar theories propose that increased excessive worry, the hallmark symptom of generalized anxiety disorder (GAD), predicts future declines in executive functioning (EF). However, the preponderance of cross-sectional designs used to examine between-person chronic worry–EF relationships has blocked progress on understanding their potentially causal within-person associations. Accordingly, this study used bivariate dual latent change score (LCS) models to test whether within-person increased GAD severity might relate to future reduced EF. Methods Community-dwelling adults (N = 2581, 46 years on average, s.d. = 11.40, 54.71% female) were assessed for GAD symptom severity (Composite International Diagnostic Interview-Short Form) across three waves, spaced about 9 years apart. Three aspects of EF [inhibition, set-shifting, and mixing costs (MCs; a measure related to common EF)], were assessed with stop-and-go switch tasks. Participants responded to 20 normal and 20 reverse single-task block trials and 32 mixed-task switch block trials. EF tests were administered at time 2 (T2) and time 3 (T3), but not at time 1 (T1). Results After controlling for T1 depression, LCS models revealed that within-person increased T1 − T2 GAD severity substantially predicted future reduced T2 − T3 inhibition and set-shifting (both indexed by accuracy and latency), and MC (indexed by latency) with moderate-to-large effect sizes (|d| = 0.51–0.96). Conclusions Results largely support scar theories by offering preliminary within-person, naturalistic evidence that heightened excessive worry can negatively predict future distinct aspects of cognitive flexibility. Effectively targeting pathological worry might prevent difficulties arising from executive dysfunction.
The Fibroblast Growth Factor Receptors in Breast Cancer: from Oncogenesis to Better Treatments

Breast cancer (BC) is the most frequent form of malignancy and second only to lung cancer as cause of deaths in women. Notwithstanding many progresses made in the field, metastatic BC has a very poor prognosis. As therapies are becoming more personalized to meet the needs of patients, a better knowledge of the molecular biology leading to the disease unfolds the possibility to project more precise compounds or antibodies targeting definite alteration at the molecular level and functioning on such cancer-causing molecules expressed in cancer cells of patients, or present as antigens on the surface of cancer cell membranes. Fibroblast growth factor receptor (FGFR) is one of such druggable targets, activated by its own ligands -namely the Fibroblast Growth Factors (FGFs). This pathway provides a vast range of interesting molecular targets pursued at different levels of clinical investigation. Herein we provide an update on the knowledge of genetic alterations of the receptors in breast cancer, their role in tumorigenesis and the most recent drugs against this particular receptor for the treatment of the disease.