Miracle-dz/UniFAR-FTUs huggingface dataset:
Long Noncoding RNA GUSBP3 And SAM4 Function As Potential Diagnostic Biomarkers of Type 2 Diabetes Mellitus In Kazak Populations In The Xinjiang Region of China

Background: The pathogenesis of T2DM is influenced by a combination of genetic and environmental factors, among which LncRNAs have a huge impact on diabetes.In this study, we investigated the diagnostic value of lncRNA GUSBP3 and lncRNA SAM4 for T2DM in Kazakhs in Xinjiang. Methods: In this study, differentially expressed lncRNAs and mRNAs were screened by microarray analysis microarray in a Kazakh population in Xinjiang, and the expression of two candidate lncRNAs (lnc-GUSBP-3 and lnc-SAM-4) was further validated by quantitative real-time polymerization chain reaction (qRT-PCR). Meanwhile, GO (Gene Ontology) enrichment analysis were used to reveal the biological functions of the two candidate lncRNAs. Spearman’s correlation analysis was used to elucidate the correlation between lnc-GUSBP-3 and lnc-SAM-4 expression and metabolic characteristics. We found that the expression of lnc-GUSBP-3 and lnc-SAM-4 was up-regulated in the T2DM group compared to healthy controls. Multivariate logistic regression analysis showed that DBP, FIns and lnc-GUSBP3 were associated with T2DM susceptibility.In addition, ROC curves were used to evaluate the diagnostic potential of lnc-GUSBP3 and lnc-SAM4. Results: We conducted a microarray analysis of PBMC collected from patients with T2DM and healthy controls, all of Kazakh origin. In the microanalysis, we identified 89 differentially expressed lncRNAs, and 147 differentially expressed mRNAs. real-time quantitative reverse transcription polymerase chain reaction analysis of peripheral blood mononuclear cell (PBMC) samples from T2DM patients and healthy controls from the Xinjiang Kazakh population revealed significantly increased levels of lncRNAs GUSBP3 and SAM4 in T2DM patients. Logistic regression analysis revealed that lncRNA GUSBP3 expression correlated negatively with FIns, but positively with creatinine and uric acid (UA). Furthermore, lncRNA SAM4 expression correlated negatively with low-density lipoprotein cholesterol levels, but positively with UA. The area under the receiver operating characteristic curve values for lnc-GUSBP3 and lnc-SAM4 were 0.789 (95% CI = 0.672–0.906) and 0.741 (95% CI = 0.616–0.866), respectively. Conclusion: There were significant changes in lncRNA and mRNA in Kazakh T2DM patients. LncRNA-GUSBP3 and lncRNA-SAM4 may serve as potential diagnostic biomarkers for T2DM in Kazakhs in Xinjiang.
Deciphering the interaction of flavones with calf thymus DNA and octamer DNA sequence (CCAATTGG)2

We investigated the interaction of three flavone compounds, baicalein, chrysin and flavone with calf thymus DNA and octamer DNA sequence (CCAATTGG)2. The binding mechanisms of the flavone compounds with both DNA were unveiled using biophysical, thermodynamic and molecular modelling techniques. Absorption and fluorescence titrations confirm the formation of the DNA complexes along with the extent of interaction. Absorption data proposed an intercalation mode of binding. Fluorescence displacement assays using ethidium bromide and Hoechst 33258 data supports a partial intercalation. Potassium iodide quenching substantiated this finding. Circular dichroism data revealed major structural changes on binding with flavones which can arise from intercalation partially or in a tilted arrangement. Analysis of the effect of ionic strength on complex formation eliminated the role of electrostatic interaction in the binding. Differential scanning calorimetric data showed substantial changes in the melting temperatures of complexes and predicted the DNA–baicalein complex as the most stable one. Molecular modelling showcased that the complexes are located near the AT rich region. Docking analysis with different sequences showed that the flavone compounds intercalated with base pairs only with d(CGATCG)2.
The efficiency of emerging markets: Evidence from nonlinear panel unit tests

In this study, we investigate market efficiency considering nonlinearities by testing the weak-form market efficiency of the stock markets of Brazil, China, Russia, Turkey, and South Africa using recently proposed nonlinear panel unit root tests. The stock markets of these emerging countries are deliberately selected for their market capitalization to form a homogenous panel. The results of nonlinear models indicate that the stock market indexes are stationary and weak-form inefficient. This finding contributes to the contradictory results of the prior research using linear and nonlinear models about the efficiency of emerging stock markets in favor of nonlinear ones. Furthermore, we propose that studies using financial variables consider such nonlinearity in order to achieve more accuracy in findings related to such studies.
Industry 4.0 for Steel Construction: an Outlook

In the era of internet and robots, sophisticated devices and real‐time simulation, the construction sector remains highly dependent on manual labor which is also the main source of delays, lack of quality, and human injuries. The rapid development in technological areas such as mechatronics, computers, sensors, programming, human interfaces and artificial intelligence (AI) – offers huge potential for modern applications.
Analysis of Fuel Oil Consumption, Green Economic Growth and Environmental Degradation in 6 Asia Pacific Countries

This study aims to fill the gap of previous research in the form of developing studies between fuel oil consumption, green economic growth and environmental degradation in 6 selected Asia Pacific countries (Australia, China, India, Indonesia, South Korea and Thailand) by considering the determinants during the period 2007-2020 by using a simultaneous panel model approach. The important findings of this study are grouped into 3 analytical models. First, green economic growth, environmental degradation and cleaner energy have a negative effect on fuel oil consumption, while GDP per capita has a positive effect. Second, fuel oil consumption, environmental degradation and militarization have a negative effect on green economic growth, while technological innovation and cleaner energy have a positive effect. Third, green economic growth and cleaner energy have a negative effect on environmental degradation, while fuel oil consumption, health expenditure and poverty have a positive effect. The policy implication that can be applied is to utilize renewable energy such as biofuel oil to implement a clean development mechanism because the increasing demand for fuel oil consumption will result in CO2 emissions which are a factor causing increased environmental degradation and decreased green growth in a country.
Evaluation of the Quality of Life of Patients Followed up with Diagnosis of Type 1 Diabetes Mellitus

Yayın hakları Güncel Pediatri’ye aittir. Sorumlu yazar yazışma adresi: Enes DURAS. Sağlık Bilimleri Üniversitesi Okmeydanı Eğitim ve Araştırma Hastanesi, Çocuk Sağlığı ve Hastalıkları Kliniği, İstanbul, Türkiye 72 E-posta: ensarduras@gmail.com Tip 1 Diyabetes Mellitus Tanısı ile İzlenmekte Olan Hastaların Yaşam Kalitesi Düzeylerinin Değerlendirilmesi Evaluation of the Quality of Life of Patients Followed up with Diagnosis of Type 1 Diabetes Mellitus Ensar Duras, Diğdem Bezen, Ozan Özkaya, Hasan Dursun
Relationship between Plasma Concentrations of Afatinib and the Onset of Diarrhea in Patients with Non-Small Cell Lung Cancer

Simple Summary Higher afatinib plasma concentrations have been reported to be associated with the severity of diarrhea; however, the specific target plasma concentration of afatinib required to avoid severe diarrhea onset is unclear. We found that an afatinib AUC0–24 of greater than or equal to 823.5 ng·h/mL and C0 of greater than or equal to 28.5 ng/mL may be used as cut-off values for the incidence of afatinib-induced grade 2 diarrhea. A significant correlation between the AUC0–24 and C0 of afatinib was observed (r2 = 0.761; p < 0.001). Therefore, we could use C0 as a marker of therapeutic drug monitoring. In the current study, the median time to the incidence of grade 2 diarrhea in patients with a C0 of more than 28.5 ng/mL was 16 days. Therefore, we recommend monitoring the C0 of afatinib on day 8 after the beginning of afatinib therapy. Abstract We evaluated the area under the plasma concentration–time curve (AUC) of afatinib required to avoid the onset of grade 2 or higher diarrhea. The C0 and AUC0–24 of afatinib were significant higher in patients with grade 2 diarrhea than in those with grade 0–1 diarrhea. The areas under the receiver operator curves were 0.795 with the highest sensitivity (89%) and specificity (74%) at an AUC0–24 threshold of 823.5 ng·h/mL, and 0.754 with the highest sensitivity (89%) and specificity (74%) at a C0 threshold of 28.5 ng/mL. In Kaplan–Meier analysis based on these cut-off AUC0–24 and C0 values, the median time to the incidence of grade 2 diarrhea was 16 days. The predicted AUC0–24 of afatinib from the single point of C6 showed the highest correlation with the measured AUC0–24 (r2 = 0.840); however, a significant correlation between the AUC0–24 and C0 was also observed (r2 = 0.761). C0 could be used as a marker of therapeutic drug monitoring because afatinib C0 was related to AUC0–24. Therefore, afatinib C0 should be monitored on day 8 after beginning therapy, and the daily dose of afatinib should be adjusted as an index with a cut-off value of 28.5 ng/mL.
SPV-BES System Synchronized to Three-Phase Four-Wire AC Distribution Network

Solar photovoltaic (SPV) system performance degrades due to the presence of nonlinear/unbalanced loads at the point of common coupling (PCC). These loads also cause the current in the ac network's neutral conductor, which causes additional losses and the voltage difference between the neutral conductor and the ground. This work addresses these problems and presents the control algorithm for the SPV system to improve its performance and the power quality (PQ) at the PCC, to reduce the current flow in the ac network's neutral conductor, and to maintain the balanced operation in the ac network at unbalanced loads. The battery energy storage is incorporated with the SPV system to improve the supply's reliability at the load end by operating the system in the islanded mode (ILM) when the ac network supply is interrupted. A new application of the variable zero attracting (VZA) least mean square (LMS) adaptive control algorithm is presented for the PQ improvement in both grid-connected mode (GCM) and ILM operations. The VZA component reduces the steady-state oscillation in the LMS algorithm without compromising its dynamic response. The seamless operation is used to avoid any abnormality in voltages and currents of the system operating mode changes from the ILM to the GCM after the grid recovery. The performance of the system is tested on the developed Simulation model and further verified by the experimental study performed on a reduced rating prototype.
Topographical indexing

The problems of achieving comprehensive coverage of place-name material are discussed and examples from the national press, journals and popular magazines are given. Relevant material is often buried within other articles. Although 100% coverage is impossible, more could be done to improve the situation by investigating the range of indexes produced and rationalizing with, for example, an ‘index of indexes’. Major reference works, bibliographies and archives are also important for place names, but most lack relevant indexes.Greater co-operation between indexers is proposed.
High Psychosocial Work Demands, Decreased Well-Being, and Perceived Well-Being Needs Within Veterinary Academia During the COVID-19 Pandemic

Higher psychosocial work demands in veterinary and academic professions are associated with decreased occupational, physical, and mental well-being. COVID-19 introduced far-reaching challenges that may have increased the psychosocial work demands for these populations, thereby impacting individual- and institutional-level well-being. Our objective was to investigate the psychosocial work demands, health and well-being, and perceived needs of faculty, staff, residents and interns at the Ontario Veterinary College, in Ontario, Canada, during COVID-19. A total of 157 respondents completed a questionnaire between November 2020 and January 2021, that included the Third Version of the Copenhagen Psychosocial Questionnaire (COPSOQ-III) and open-text questions on perceived needs for well-being. Results showed that COPSOQ-III dimensions of quantitative demands, recognition, sense of community, burnout, stress, and depressive symptoms, were significantly worse in our study population than the Canadian norm. Quantitative and emotional demands, health and well-being (including depressive symptoms, stress, cognitive stress, somatic stress, and burnout), and work-life conflict were also reported to have worsened since the COVID-19 restrictions for most respondents. Females and caregivers had higher odds of experiencing increased work demands, and decreased health and well-being, compared to males and non-caregivers. However, male caregivers experienced worsened supervisor relations, compared to female caregivers. Social capital also worsened for clinical and part-time employees, compared to full-time and non-clinical employees. Respondents identified increased workload support, community-building, recognition of employees' capacities and personal needs, flexible work schedules, and consistent communication, as strategies to increase well-being during COVID-19 and generally. Overall, our findings suggest that COVID-19 has increased occupational demands, work-life conflicts, and decreased well-being in veterinary academia. Institutional-level interventions are discussed and recommended to aid individual and institutional well-being.
Carbonic Anhydrase IV Selective Inhibitors Counteract the Development of Colitis-Associated Visceral Pain in Rats

Persistent pain affecting patients with inflammatory bowel diseases (IBDs) is still very difficult to treat. Carbonic anhydrase (CA) represents an intriguing pharmacological target considering the anti-hyperalgesic efficacy displayed by CA inhibitors in both inflammatory and neuropathic pain models. The aim of this work was to evaluate the effect of inhibiting CA IV, particularly when expressed in the gut, on visceral pain associated with colitis induced by 2,4-di-nitrobenzene sulfonic acid (DNBS) in rats. Visceral sensitivity was assessed by measuring animals’ abdominal responses to colorectal distension. Repeated treatment with the selective CA IV inhibitors AB-118 and NIK-67 effectively counteracted the development of visceral pain induced by DNBS. In addition to pain relief, AB-118 showed a protective effect against colon damage. By contrast, the anti-hyperalgesic activity of NIK-67 was independent of colon healing, suggesting a direct protective effect of NIK-67 on visceral sensitivity. The enzymatic activity and the expression of CA IV resulted significantly increased after DNBS injection. NIK-67 normalised CA IV activity in DNBS animals, while AB-118 was partially effective. None of these compounds influenced CA IV expression through the colon. Although further investigations are needed to study the underlying mechanisms, CA IV inhibitors are promising candidates in the search for therapies to relieve visceral pain in IBDs.
Scaling-up From Leaf to Whole-plant Level for Water Use Efficiency Estimates Based on Stomatal and Mesophyll Behavior

AimsPrediction of whole-plant short-term water use efficiency (WUEs,P) is essential to indicate plant performance and facilitates comparison across different temporal and spatial scales. Here, the isotope model for WUEs,P was scaled-up from the leaf to the whole-plant level.MethodsFor WUEs,P modelling, leaf gas exchange information, plant respiration and “unproductive” water loss were taken into account. Specifically, in shaping the expression of the WUEs,P, we emphasized the role of both stomatal (gsw) and mesophyll conductance (gm). ResultsThe verification showed that estimates of gsw from the coupled photosynthesis (Pn,L)-gsw model accounting for the effect of soil water stress slightly outperformed the model neglecting the soil water status effect, and the established coupled Pn,L-gm model proved more effective in the estimation of gm than the previously proposed model. Introducing the two diffusion control functions into the whole-plant model, the developed model for WUEs,P effectively captured its response pattern to different CO2 concentration (Ca) and soil water content (SWC) conditions. ConclusionsOverall, this study confirmed that accurate estimation of WUEs,P requires an improved predictive accuracy of gsw and gm. These results have important implications for predicting how plants respond to climate change.
Experimental Study of Hybrid Genetic Algorithms for the Maximum Scatter Travelling Salesman Problem

We consider the maximum scatter travelling salesman problem (MSTSP), a travelling salesman problem (TSP) variant. The problem aims to maximize the shortest edge in the tour that travels each city only once in the given network. It is a very complicated NP-hard problem, and hence, exact solutions are obtainable for small sizes only. For large sizes, heuristic algorithms must be applied, and genetic algorithms (GAs) are observed to be very successful in dealing with such problems. In our study, a simple GA (SGA) and four hybrid GAs (HGAs) are proposed for the MSTSP. The SGA starts with initial population produced by sequential sampling approach that is improved by 2-opt search, and then it is tried to improve gradually the population through a proportionate selection procedure, sequential constructive crossover, and adaptive mutation. A stopping condition of maximum generation is adopted. The hybrid genetic algorithms (HGAs) include a selected local search and perturbation procedure to the proposed SGA. Each HGA uses one of three local search procedures based on insertion, inversion and swap operators directly or randomly. Experimental study has been carried out among the proposed SGA and HGAs by solving some TSPLIB asymmetric and symmetric instances of various sizes. Our computational experience reveals that the suggested HGAs are very good. Finally, our best HGA is compared with a state-of-art algorithm by solving some TSPLIB symmetric instances of many sizes. Our computational experience reveals that our best HGA is better. Keywords—Hybrid genetic algorithm; maximum scatter travelling salesman problem; sequential constructive crossover; adaptive mutation; local search; perturbation procedure
Improved KNN Imputation for Missing Values in Gene Expression Data

The problem of missing values has long been studied by researchers working in areas of data science and bioinformatics, especially the analysis of gene expression data that facilitates an early detection of cancer. Many attempts show improvements made by excluding samples with missing information from the analysis process, while others have tried to fill the gaps with possible values. While the former is simple, the latter safeguards information loss. For that, a neighbour-based (KNN) approach has proven more effective than other global estimators. The paper extends this further by introducing a new summarizationmethod to theKNNmodel. It is the first study that applies the concept of ordered weighted averaging (OWA) operator to such a problem context. In particular, two variations of OWA aggregation are proposed and evaluated against their baseline and other neighbor-based models. Using different ratios of missing values from 1%–20% and a set of six published gene expression datasets, the experimental results suggest that newmethods usually provide more accurate estimates than those compared methods. Specific to the missing rates of 5% and 20%, the best NRMSE scores as averages across datasets is 0.65 and 0.69, while the highest measures obtained by existing techniques included in this study are 0.80 and 0.84, respectively.
Security and Privacy Analysis of Vinoth et al.'s Authenticated Key Agreement Scheme for Industrial IoT

Vinoth et al. proposed an authenticated key agreement scheme for industrial IoT (Internet of Things) applications. Vinoth et al.’s scheme aimed to protect the remote sensing data of industrial IoT devices under hostile environments. The scheme is interesting because the authorized user is allowed simultaneously to access the multiple IoT sensing devices. Therefore, we carefully analyzed the security and privacy implications of Vinoth et al.’s scheme. Our findings are summarized as follows. One, Vinoth et al.’s scheme failed to defeat user impersonation attacks. Second, Vinoth et al.’s scheme did not prevent IoT sensing device impersonation attacks. Third, Vinoth et al.’s scheme suffered from replay attacks. Fourth, Vinoth et al.’s scheme was vulnerable to desynchronization attacks. Fifth, Vinoth et al.’s scheme could not maintain user privacy. As a case study, our analysis results enlighten researchers and engineers on the design of robust and efficient authenticated key agreement schemes for IoT applications.
Myocardial infarction and factor VIII elevation in a 36-year-old man

Abstract An association has been reported between factor VIII and arterial thrombosis such as ischemic stroke and myocardial infarction. We report a 36-year-old man who had a myocardial infarction despite lacking traditional cardiac risk factors. He developed end-stage heart failure and renal insufficiency necessitating a HeartMate II left ventricular assist device (LVAD). While on the transplant list, he experienced two episodes of LVAD thrombosis 6 months apart, prompting device exchange and escalation of anticoagulation therapy. He eventually underwent a successful heart-kidney transplant before suffering an extensive left lower extremity deep vein thrombosis 6 weeks later. A thrombophilia workup revealed elevated factor VIII activity of 319% (normal range, 50%–150%). He was placed on indefinite anticoagulation with apixaban with no further thrombotic episode in 18 months of follow-up to date.
Echocardiography of Marfan's Syndrome Patient with New Gene Mutation of FBN1 with 13-year Follow-up

: A case of Marfan syndrome was followed up by echocardiography for 13 years to observe the evolution of cardiovascular disease. The initial cardiovascular manifestations of this patient were "mitral myxoid degeneration, chordal rupture, leaflet prolapse, and massive regurgitation". Subsequently, after several years of development, the aortic sinus and ascending aortic aneurysm dilatation appeared and a new gene mutation site G4331A of FBN1 was found by genetic testing in this patient. Whether the new gene mutation site is related to the initial manifestation of the patient's cardiovascular disease with "mitral valve disease" remains to be further verified.