Miracle-dz/UniFAR-FTUs huggingface dataset:
ABF1 Positively Regulates Rice Chilling Tolerance via Inducing Trehalose Biosynthesis

Chilling stress seriously limits grain yield and quality worldwide. However, the genes and the underlying mechanisms that respond to chilling stress remain elusive. This study identified ABF1, a cold-induced transcription factor of the bZIP family. Disruption of ABF1 impaired chilling tolerance with increased ion leakage and reduced proline contents, while ABF1 over-expression lines exhibited the opposite tendency, suggesting that ABF1 positively regulated chilling tolerance in rice. Moreover, SnRK2 protein kinase SAPK10 could phosphorylate ABF1, and strengthen the DNA-binding ability of ABF1 to the G-box cis-element of the promoter of TPS2, a positive regulator of trehalose biosynthesis, consequently elevating the TPS2 transcription and the endogenous trehalose contents. Meanwhile, applying exogenous trehalose enhanced the chilling tolerance of abf1 mutant lines. In summary, this study provides a novel pathway ‘SAPK10-ABF1-TPS2’ involved in rice chilling tolerance through regulating trehalose homeostasis.
Årsrapport 2020

Nasjonalt kvalitetsregister for ryggkirurgi ble opprettet i 2007 og utvidet til å inkludere nakkekirurgi i 2012. Registeret har som mål å forbedre kvaliteten på kirurgisk behandling av degenerative rygg- og nakkelidelser. Registeret måler pasientrapporterte utfall (PROM) og erfaringer (PREM) med validerte skårer. Datakvaliteten er god med dokumentert aktualitet, korrekthet, reliabilitet, kompletthet og sammenlignbarhet.
La gamificación y su potencial para la disminución del estrés escolar: caso de una Institución de Educación General Básica ecuatoriana

El objetivo del presente trabajo fue disminuir el estrés mediante estrategias metodológicas gamificadas. La metodología es cuantitativa, con diseño cuasiexperimental y tipo explicativo. Como muestra se seleccionó a 44 personas estudiantes de octavo año de Educación General Básica, con edades desde los 11 a los 16 años. El instrumento empleado para el pretest y postest fue la encuesta SISCO SV-21 (SIStémico Cognoscitivista), que sirvió para diagnosticar el nivel de estrés y evaluar los resultados obtenidos luego de la aplicación de estrategias metodológicas gamificadas. Los resultados indican un nivel de estrés inicial del alumnado entre moderado y severo, además, reflejan que el principal problema existente era la falta de estrategias para afrontar situaciones desafiantes que generan estrés. Por ello, se plantean cinco estrategias basadas en la gamificación para la enseñanza de herramientas que disminuyan el estrés y el control de situaciones estresantes. Esto condujo a que el estudiantado en el postest obtenga un nivel de estrés leve, con menos factores estresores desencadenantes de síntomas fisiológicos y psicológicos. Se concluye que las estrategias planteadas, basadas en la gamificación, constituyen una alternativa significativa para la disminución del estrés del alumnado, ya que brindan medios para afrontar sucesos estresantes de la escolaridad y disminuir reacciones físicas y psicológicas que podrían dificultar el aprendizaje. Se recomienda aplicar el modelo propuesto de estrategia metodológica gamificada en otros contextos educativos, desde la presencialidad y con diversas temáticas, para continuar recabando resultados sobre su funcionalidad en la dinamización del proceso de enseñanza y aprendizaje.
On the Gerber–Shiu function with random discount rate

ABSTRACT In this paper, we study the Gerber–Shiu (G-S) function for the classical risk model, in which the discount rate is generalized from a constant to a random variable. The discounted interest force accumulated process is modeled by a Poisson process and a Gaussian process for the G-S function. In terms of the standard techniques in ruin theory, we derive the integro-differential equation and the defective renewal equation satisfied by the G-S function. Then, the asymptotic formula for the G-S function is obtained using the renewal theory.
CYP3A genetic variation and taxane-induced peripheral neuropathy: a systematic review, meta-analysis, and candidate gene study

Background: Taxane-induced peripheral neuropathy (TIPN) is an important cause of premature treatment cessation and dose-limitation in cancer therapy. It also reduces quality of life and survivorship in affected patients. Genetic polymorphisms in the CYP3A family have been investigated but the findings have been inconsistent and contradictory. Methods: A systematic review identified 12 pharmacogenetic studies investigating genetic variation in CYP3A4*22 and CYP3A5*3 and TIPN. In our candidate gene study, 288 eligible participants (211 taxane participants receiving docetaxel or paclitaxel, and 77 control participants receiving oxaliplatin) were successfully genotyped for CYP3A4*22 and CYP3A5*3. Genotyping data was transformed into a combined CYP3A metaboliser phenotype: Poor metabolisers, intermediate metabolisers and extensive metabolisers. Individual genotypes and combined CYP3A metaboliser phenotypes were assessed in relation to neurotoxicity, including by meta-analysis where possible. Results: In the systematic review, no significant association was found between CYP3A5*3 and TIPN in seven studies, with one study reporting a protective association. For CYP3A4*22, one study has reported an association with TIPN, while four other studies failed to show an association. Evaluation of our patient cohort showed that paclitaxel was found to be more neurotoxic than docetaxel (p < 0.001). Diabetes was also significantly associated with the development of TIPN. The candidate gene analysis showed no significant association between either SNP (CYP3A5*3 and CYP3A4*22) and the development of TIPN overall, or severe TIPN. Meta-analysis showed no association between these two variants and TIPN. Transformed into combined CYP3A metaboliser phenotypes, 30 taxane recipients were poor metabolisers, 159 were intermediate metabolisers, and 22 were extensive metabolisers. No significant association was observed between metaboliser status and case-control status. Summary: We have shown that the risk of peripheral neuropathy during taxane chemotherapy is greater in patients who have diabetes. CYP3A genotype or phenotype was not identified as a risk factor in either the candidate gene analysis or the systematic review/meta-analysis, although we cannot exclude the possibility of a minor contribution, which would require a larger sample size.
Compartment Syndrome of All Extremities in the Setting of COVID-19-Induced Systemic Capillary Leak Syndrome With Superimposed Myositis

Three years following the pandemic’s emergence, COVID-19 has continued to affect much of the symptomatic population with widely varied respiratory complaints, fevers, numerous unexpected prodromal manifestations, and unknown long-term consequences. Scattered cases involving myopathies, rhabdomyolysis, and compartment syndrome have also been reported throughout the pandemic. Some similar cases have been attributed to systemic capillary leak syndrome (SCLS). Here, we report the development of compartment syndrome involving all extremities in a 57-year-old vaccinated female known to have COVID-19. In retrospect, we believe the clinical severity and the patient’s sudden deterioration can also be attributed to the lesser-known SCLS. Treatment required fasciotomies of both forearms, arms, and legs. This is the most significantly involved case, leading to survival reported thus far. Lab abnormalities, misleading imaging, and symmetric involvement of all extremities posed a significant challenge to proper diagnosis and treatment. This case serves as a reminder for providers to remain cognizant of neurovascular emergencies during the workup of critically ill patients when the presentation is unrecognized and usual treatments are refractory. Its purpose is also to contribute to the global understanding of and response to COVID-19.
Dimensional Data Design for Event Feedback Data Warehouse

Data is an important asset and a fundamental requirement for building valuable information for organizations. Association of Information Systems Students of Unsika (Himsika) as a university organization provides many events to develop student’s academic and professional skills. A post-event evaluation through a feedback survey was conducted and stored in Google Sheets spreadsheet format. However, the current analysis process using spreadsheets lacks standardization, making it difficult to compare satisfaction rates over time and between events. Additionally, the lack of standardization leads to semi-structured data on spreadsheets, with varying question formats and meanings. To address these limitations, implementing a centralized data warehouse is proposed as a solution. The data warehouse would provide a structured and standardized approach to analyzing event feedback, enabling better comparisons and evaluation of management quality within Himsika. The research aims to design a data warehouse that supports multidimensional analysis. As a way to simplify and optimize analytical queries, the data structure is standardized in the data warehouse. The Four-step Dimensional Design method is applied in designing dimensional modeling on the data warehouse, consisting of four stages including selecting the business process, declaring the grain, identifying the dimensions, and identifying the facts. The design process resulted in 4 dimensions of events, dim_instances, dim_degree_programs, and dim_professions, and a fact table called fact_rates_by_responses. Overall, the proposed data warehouse and dimensional modeling approach aim to enhance the analysis and evaluation of Himsika’s events.
Command filter-based adaptive fuzzy backstepping control for a class of switched non-linear systems with input quantisation

This study investigates the problem of adaptive fuzzy output feedback control for a class of switched uncertain non-linear systems with input quantisation. The considered system contains unknown non-linearities, the switching signals, hysteretic quantised input and immeasurable states. Fuzzy logic systems are used to approximate the unknown non-linearities and a fuzzy switched state observer is designed to estimate the unmeasured states. The hysteretic quantised input is divided into two bounded non-linear functions in the control design to avoid chattering problem. By incorporating command filter into the backstepping design procedure, a fuzzy adaptive control scheme is developed, which solves the `explosion of complexity' problem in conventional backstepping control schemes. Finally, the stability of the closed loop and convergence of the tracking error are proved via average dwell time and multiple Lyapunov functions methods. The effectiveness of the proposed approach is verified by a numerical simulation example.
Massive Stellar Clusters in the Disk of the Milky Way Galaxy

Title of thesis: Massive Stellar Clusters in the Disk Of the Milky Way Galaxy Benjamin Bubnick, Master of Science, 2010 Thesis directed by: Professor Margaret Hanson Department of Physics This thesis outlines successful efforts for identifying and characterizing the stellar content of two Galactic disk star clusters using near-infrared observations. Astronomers have a great wealth of knowledge about globular clusters. They are easy to see as most lie outside the plane of the galaxy in the halo. Extinction is low, the stellar population is dense in the cluster, and they are fairly common. However, in the plane of the galaxy, relatively little is known of the open cluster population. Galactic disk open clusters, such as the two discussed in this thesis, are hidden behind gas, dust, and projected against a multitude of field stars. Through the use of near-infrared broad-band photometry and spectroscopy, the distance, age and approximate mass of two disk clusters has been determined. c © Copyright by Benjamin Bubnick 2010
A population genetic-level approach to endemic species of Oxalis section Palmatifoliae (Oxalidaceae) in Patagonia

Oxalis section Palmatifoliae (wood sorrel) includes five species that are well differentiated morphologically. A previous population study in one of the species (O. laciniata) suggested a complex phylogeographic history and highlighted the need to explore the genetic variability of all the species in the section. Thus, we performed a population level study of the five species to (1) determine the population structure within and among species, (2) model their current and paleoclimatic distributions, and (3) assess the historical processes that influenced their current genetic and morphological variation. We generated inter-simple sequence repeat (ISSR) polymorphism data and DNA sequences for the plastid region trnH-psbA and used those data to obtain a haplotype network, and used georeferenced coordinates and Maxent to obtain present and past species distribution models. Our major results included: 1) ISSR data showed a significant level of genetic differentiation among the five species and a degree of admixture within species; 2) plastid region trnH-psbA shows that one haplotype is the most frequent and widespread among all the species; 3) modelling of species present distributions showed different climatic variables for each species, whereas modelling of past distribution scenarios suggests broader distributions of all species.
Biomarkers and their combination in a prediction of decompensation after an index hospitalization for acute heart failure

Introduction: Heart failure (HF) still remains as one of the most common causes of hospital admission with a high mortality rate. Aim: To investigate the possible prognostic role of brain natriuretic peptide (BNP), high-sensitivity (hs) cardiac troponin (cTn) I, cystatin C, and cancer antigen 125 (CA125) in the prediction of decompensation after an index hospitalization and to investigate their possible additive prognostic value. Patients and Methods: Two hundred twenty-two patients hospitalized with acute HF were monitored and followed for 18 months. Results: BNP at discharge has the highest sensitivity and specificity in the prediction of decompensation. For a cutoff value of 423.3 pg/ml, sensitivity was 64.3% and specificity was 64.5%, with a positive predictive value of 71.6% and an area under the curve (AUC) of 0.69 (P < 0.001). The hazard risk (HR) for decompensation when the discharge BNP was above the cutoff value was 2.18. Cystatin C, at a cutoff value of 1.46 mg/L, had a sensitivity of 57% and specificity of 57.8%, with a positive predictive value of 65.8% and an AUC of 0.59 (P = 0.028). CA125, in the prediction of decompensation in patients with acute heart failure (AHF) and at a cutoff value of 80.5 IU/L, had a sensitivity of 60.5% and specificity of 53.3%, with a positive predictive value of 64.5% and an AUC of 0.59 (P = 0.022). The time till onset of decompensation was significantly shorter in patients with four versus three elevated biomarkers (P = 0.047), with five versus three elevated biomarkers (P = 0.026), and in patients with four versus two elevated biomarkers (P = 0.026). The HR for decompensation in patients with five positive biomarkers was 3.7 (P = 0.001) and in patients with four positive biomarkers was 2.5 (P = 0.014), compared to patients who had fewer positive biomarkers. Conclusion: BNP, cystatin C, and CA125 are predictors of decompensation, and their combined usage leads to better prediction of new decompensation.
Models and algorithms for dominance-constrained stochastic programs with recourse

In der vorliegenden Dissertationsschrift befassen wir uns mit stochastischen Optimierungsproblemen unter Nebenbedingungen, die mithilfe stochastischer Ordnungen formuliert sind. Hierbei konzentrieren wir uns auf stochastische Dominanz erster Ordnung und die steigende konvexe Ordnung, wobei beide Ordnungen in unserem Fall auf Zufallsgrosen operieren, welche Optimalwerten zweistuger stochastischer Optimierungsprobleme mit Kompensation entsprechen. Wir stellen die theoretische Relevanz der vorliegenden Problemklasse heraus und tragen zur Entwicklung von effizienten Losungsverfahren bei. Um Letzteres zu erreichen untersuchen und erweitern wir bestehende gemischt-ganzzahlige lineare Reprasentationen dieser Probleme und entwickeln masgeschneiderte Dekompositionsverfahren. Der Schwerpunkt dieser Arbeit liegt dabei auf der Entwicklung und Implementierung besonders effizienter Losungsansatze fur den Fall mit linearer Kompensation.
The next WALDMEISTER loop

In saturation-based theorem provers, the reasoning process consists in constructing the closure of an axiom set under inferences. As is well-known, this process tends to quickly fill the memory available unless preventive measures are employed. For implementations based on the DISCOUNT loop, the passive facts are responsible for most of the memory consumption. We present a refinement of that loop allowing such a compression that the space needed for the passive facts is linearly bound by the number of active facts. In practice, this will reduce memory consumption in the WALDMEISTER system by more than one order of magnitude as compared to previous compression schemes.
Nonparametric curve estimation under monotonicity constraint

A finite sample comparison is carried out for three recent nonparametric methodologies in estimating the monotone regression function F and its inverse F 1 . The methods are (1) the inverse kernel method DNP (Dette et al. (2005), Dette and Scheder (2010)), (2) the monotone spline (Kong and Eubank (2006)) and (3) the data adaptive method NAM (Bhattacharya and Lin (2010), (2011)), with roots in isotonic regression (Ayer et al. (1955), Bhattacharya and Kong (2007)). Comparative studies are carried out mainly in terms of length of the confidence interval in this article. Let there be m distinct values of the independent variable x among N observations y. The results show that if m is relatively small compared to N then generally the NAM performs best, while the DNP outperforms the other methods when m is O(N) unless there is a substantial clustering of the values of the independent variable x.
Atriopathy and atrial fibrillation. Part II

Atrial fibrillation is based on various forms of congenital and acquired pathology. When choosing a method of treatment, it is important to understand not only the causes of arrhythmia in a particular patient, but also the features of its mechanism and progression factors. Obviously, there is a difference in the mechanisms of paroxysmal and nonparoxysmal forms of atrial fibrillation. Criteria and methods for assessing the stage of possible reverse structural and functional changes in the atria after stabilization of the heart rate are of great clinical importance. The second part of the review reflects the immediate causes of atriopathy, including heart amyloidosis, mutations of the natriuretic peptide precursor A, hereditary myodistrophia, heart failure, obstructive sleep apnea, drug effect, myocarditis, genetic disorders of repolarization, aging, arterial hypertension, obesity, diabetes mellitus, heart defects, atrial fibrillation itself. Qualitative and quantitative methods of atrial fibrosis evaluation are described, as well as the possibilities of reverse remodeling. The potential role of fibrosis as a direct cause of systemic thromboembolism and ischemic stroke in atrial fibrillation patients is considered. Ways of atriopathy prevention and treatment are discussed. An algorithm for assessing the severity of atriopathy and the probability of maintaining sinus rhythm are presented.
The effect of corporate governess on the performance of an organization

This study examined whether corporate governance has impact on organizational performance in Financial Institutions as research problem. This research was carried out with objective to measure association between Corporate Governance and Financial Institution’s Performance in Batticaloa district. Conceptual framework has been developed to measure linkages between Corporate Governance and Financial Institution’s Performance. Board Size, Corporat e Governance Mechanism, Communication Strategies, and Code of Conduct are considered as the measurement variables of Corporate Governance which was derived from Changezi & Saeed (2013) and Customer Satisfaction, Employee Commitment and Corporate Reputation are considered as the measurement variable of Organizational Performance which was derived from Bayoud (2012) and Carton (2004). Moreover, it also found that there is a strong positive relationship between Corporate Governance and Organizational Performance. Corporate Governance significantly impacts Organizational Performance of Financial Institutions. These findings would be useful to consider more on Corporate Governance practices to avoid the Corporate Collapses and to achieve successful Organizational Performance.
The gut-retina axis: a new perspective in the prevention and treatment of diabetic retinopathy

Diabetic retinopathy (DR) is a microvascular lesion that occurs as a complication of diabetes mellitus. Many studies reveal that retinal neurodegeneration occurs early in its pathogenesis, and abnormal retinal function can occur in patients without any signs of microvascular abnormalities. The gut microbiota is a large, diverse colony of microorganisms that colonize the human intestine. Studies indicated that the gut microbiota is involved in the pathophysiological processes of DR and plays an important role in its development. On the one hand, numerous studies demonstrated the involvement of gut microbiota in retinal neurodegeneration. On the other hand, alterations in gut bacteria in RD patients can cause or exacerbate DR. The present review aims to underline the critical relationship between gut microbiota and DR. After a brief overview of the composition, function, and essential role of the gut microbiota in ocular health, and the review explores the concept of the gut-retina axis and the conditions of the gut-retina axis crosstalk. Because gut dysbiosis has been associated with DR, the review intends to determine changes in the gut microbiome in DR, the hypothesized mechanisms linking to the gut-retina axis, and its predictive potential.