Miracle-dz/UniFAR-FTUs huggingface dataset:
Can A Simple Complete Blood Count Predict Gestational Diabetes Mellitus?

Amac: Basit bir tam kan sayiminin (TKS) gestasyonel diyabetus mellitus (GDM) ongorusundeki rolunu degerlendirmek Gerec ve Yontem: Ocak 2018-Ocak 2020 yillari arasinda 24-28. Gebelik haftalarinda 75g oral glukoz tolerans testi ile GDM taramasi yapilan gebeler retrospektif olarak degerlendirildi. Bilinen sistemik hastaligi olan, aspirin, dusuk-molekul-agirlikli heparin veya steroid kullanan hastalar elendi. TKS icinde hemoglobin, hematokrit, eritrositler, ortalama korpuskuler hacim ve hemoglobin konsantrasyonu, lokositler (notrofil, lenfosit, bazofil, monosit, eozinofil dahil), trombositler, trombosit dagilim genisligi, ortalama trombosit hacmi, kirmizi-hucre dagilim genisligi (RDW), cekirdekli kirmizi kan hucreleri (CKKH) ve yuzdesi, plateletkrit, trombosit buyuk hucre orani ve immatur granulosit ve yuzdesi mevcuttu. Trombosit kutle indeksi (TKI), notrofil-trombosit (NTO) ve lenfosit-trombosit oranlari (LTO) hesaplandi. Bu parametreler GDM olan ve olmayan hastalarda karsilastirildi. GDM ile anlamli korelasyon gosteren parametrelerle regresyon analizi yapildi. Esik deger hesaplamasi ROC egrisi analizi ile yapildi. Bulgular: Eritrositler, lokositler (immatur granulosit dahil tum alt gruplar), TKI, NTO ve PTO da dahil trombosit indeksleri gruplarda benzerdi. Sadece RDW ve CKKH, GDM’li hastalarda anlamli olarak yuksek olarak bulundu ve bu parametreler yas ve tarama haftasi ile birlikte GDM icin bagimsiz prediktorler olarak tespit edildi. Sonuc: Bu sonuclar GDM’li hastalarda RDW ve CKKH seviyelerinin artmis oldugunu, bu parametrelerin GDM icin bagimsiz prediktorler olarak goruldugunu ve GDM gelismesinin izleminde ve degerlendirilmesinde kullanilabilecegini gostermektedir.
Genetic variability, heritability and genetic advance estimates in maize (Zea mays L.) inbred lines.

Forty three genotypes of maize were evaluated for eleven traits at the College Farm, College of Agriculture, Rajendranagar, Hyderabad to study the genetic divergence and various genetic parameters. There was a significant (P<0.01) difference between genotypes for all the characters, which revealed wide range of variability and high heritability for all the characters. The genetic advance as percent of mean was high for grain yield per plant (73.19%), ear height (51.05%), number of kernels per row (44.40%), plant height (43.46%), 100 grain weight (42.88%), ear length (30.79%), number of kernel rows per ear (25.23%), and ear girth (22.37%) indicating additive gene action for these traits. D2 analysis partitioned the forty three genotypes in to six clusters. The maximum inter cluster distance (39.38) was observed between cluster I and cluster V. Grain yield per plant (38.43%), plant height (14.29%), 100 grain weight (12.85%) and number of kernels per row (12.07%) contributed greatly towards diversity.
Coordinate based meta-analysis of whole-brain voxel-based morphometry studies does not show evidence of grey matter loss specific to PTSD

Neuroimaging studies have detected structural alteration in post-traumatic stress disorder (PTSD), but findings are inconsistent. This might be explained by heterogeneity between subjects with PTSD in terms of common comorbidities such as depressive and anxiety disorders and also in traumatic experience. Despite this, coordinate based meta-analysis (CBMA) has been used to try and identify localised grey matter changes, and does suggest some PTSD specific pathology. However, there are multiple technical issues that make the meta-analytic evidence questionable, warranting a re-evaluation. A literature search for voxel-based morphometry studies was performed. Only whole-brain studies using subjects with a current diagnosis of PTSD, and having a comparison group of either healthy or trauma exposed controls, were included. Twenty one voxel-based morphometry studies met the inclusion criteria. CBMA was performed to identify altered grey matter (GM) structures. Using a novel coordinate based random effect size meta-analysis, no grey matter structure was identified as being consistently altered in PTSD compared to controls. This was also verified using the activation likelihood estimate algorithm. There is no evidence, from CBMA, of consistent localised grey matter changes specific to PTSD. Inconsistency may reflect true heterogeneity in PTSD pathology or methodological issues with imaging and/or analysis, limiting the detection of PTSD specific pathology.
Den site selection of the European badger, Meles meles and the red fox, Vulpes vulpes in Hungary

Abstract. The European badger (Meles meles) and the red fox (Vulpes vulpes) are the two most common mesocarnivores in Hungary. The populations of both species are increasing. The badger has settled in various habitats in the last two decades, while the red fox can often be seen in urban habitats. Due to their wide tolerance of environmental conditions wildlife managers and conservation experts realized that both species have an important (predatory) role in many ecosystems. During the course of our research we examined the preferred locations of the den sites of the European badger and the red fox on the basis of set locations for both species in various areas across Hungary (badger: n = 142, fox: n = 113). Our aim was to find out whether there is a connection between these species' habitat selection on a small scale (locally) and on a large scale (at countrywide level). Field data were collected in four hilly areas and four lowland areas in Hungary. Badgers preferred deciduous and coniferous forests, and rarely used open areas, whereas foxes did not seem to use either coniferous forests or open areas. In the case of both species the preferred locations of the den sites were sharply demarcated in coniferous forests.
Linking Hydraulic Modeling with a Machine Learning Approach for Extreme Flood Prediction and Response

An emergency action plan (EAP) for reservoirs and urban areas downstream of dams can alleviate damage caused by extreme flooding. An EAP is a disaster action plan that can designate evacuation paths for vulnerable districts. Generally, calculation of dam-break discharge in accordance with dam inflow conditions, calculation of maximum water surface elevation as per hydraulic channel routing, and flood map generation using topographical data are prepared for the purposes of creating an EAP. However, rainfall and flood patterns exhibited in the context of climate change can be extremely diverse. In order to prepare an efficient flood response, techniques should be considered that are capable of generating flood maps promptly while taking dam inflow conditions into account. Therefore, this study aims to propose methodology that is capable of generating flood maps rapidly for any dam inflow conditions. The proposed methodology was performed by linking a dynamic numerical analysis model (DAMBRK) with a random forest regression technique. The previous standard method of drawing flood maps often requires a significant amount of time depending on accuracy and personnel availability; however, the technique proposed here is capable of generating a flood map within one minute. Through use of this methodology, the time taken to prepare flood maps in large-scale water-disaster situations can be reduced. Moreover, methodology for estimating flood risk via use of flood mapping has been proposed. This study would provide assistance in establishing disaster countermeasures that take various flood scenarios into account by promptly providing flood inundation information to disaster-related agencies.
Complex dynamics of some models of antimicrobial resistance on complex networks

Studying the spread of epidemics and diseases is a worldwide problem especially during the current time where the whole world is suffering from COVID‐19 pandemic. Antimicrobial resistance (AMR) and waning vaccination are classified as worldwide problems. Both depend on the exposure time to antibiotic and vaccination. Here, a simple model for competition between drug‐resistant and drug‐sensitive bacteria is given. Conditions for local stability are investigated, which agree with observation. Existence of positive solution in the AMR complex networks is proved. Dynamics of the identical AMR models are explored with different topologies of complex networks such as global, star, line, and unidirectional line networks coupled through their susceptible states. Chaotic attractors are shown to exist as the AMR models are located on all these topologies of complex networks. Thus, it is found that the dynamics of the AMR model become more complicated as it is located on either integer‐order or fractional‐order complex networks. Furthermore, a discretized version of the fractional AMR model is presented. Complex dynamics such as existence of Neimark–Sacker, flip bifurcations, coexistence of multiple attractors, homoclinic connections, and multiple closed invariant curves are investigated. Basin sets of attraction are also computed. Finally, the discretized system is located on complex networks with different topologies which show rich variety of complex dynamics. Also, 0–1 test is used to verify the existence of unpredictable dynamics. So, studying the dynamics of AMR models on complex networks is very helpful to understand the mechanism of spread of diseases.
Flexible fingerprint sensor driver IC and bendable evaluation

The paper presents a flexible polyimide fingerprint sensor driver IC driven by a 0.18‐μm CMOS technology and studies the sensor bendable performance. The finger valley and ridge are sensitive to environment noise; therefore, we propose low‐ripple cross non‐overlap charge pump that performs 7.2 V pumped output voltage with Δ30 mV ripple and 98.36% pump efficiency to increase the sensing level and propose mutual Vref SAR ADC circuit with 6.6 V input swing range, 30 MS/s, ENOB of 10 bits, SNDR 74.1 dB, and bit error with INL [0.61, −0.7] and DNL [0.9, −0.62] to enhance the resolution. Through low‐ripple charge pump and mutual Vref SAR ADC circuitry implementation, it makes the sensing of fingerprint valley and ridge capacitance signal still distinguishable when the film is bent harshly by the substrate radius 10 mm and, in the meanwhile, meet the FBI PIV biometric fingerprint image quality, which is upmost tough standard in biometric fingerprint of identification product.
Systematic Review of Mental Health Problems and Violent Extremism

ABSTRACT This systematic review assesses the impact of mental health problems upon attitudes, intentions and behaviours in the context of radicalisation and terrorism. We identified 25 studies that measured rates of mental health problems across 28 samples. The prevalence rates are heterogenous and range from 0% to 57%. If we pool the results of those samples (n = 19) purely focused upon confirmed diagnoses where sample sizes are known (n = 1705 subjects), the results suggest arate of 14.4% with aconfirmed diagnosis. Where studies relied upon wholly, or in some form, upon privileged access to police or judicial data, diagnoses occurred 16.96% of the time (n = 283 subjects). Where studies were purely focused upon open sources (n = 1089 subjects), diagnoses were present 9.82% of the time. We then explore (a) the types and rates of mental health disorders identified (b) comparison/control group studies (c) studies that explore causal roles of mental health problems and (d) other complex needs.
Perception and Trend Analysis of Climate Change in Chepang and Non-Chepang Farming Community of Chitwan, Nepal.

This research was conducted to assess trend and farmer’s perception of climate change among Chepang and Non-Chepang communities in Chitwan. Data were obtained from 120 households using pre-tested questionnaire and secondary sources. Descriptive statistics, time series regression and Logit model were used for data analysis. About 53 percent of respondents had knowledge of climate change which was found higher among Non-Chepang (61.7%) as compared to Chepang (43.3%). Majority of farmers perceived rise in temperature in all three seasons with increase in numbers of summer days and decrease in numbers of both winter and rainy days. Both numbers of rainy days and intensity of rainfall were perceived to decrease by a majority of respondents in all three seasons. Trend analysis showed increasing trend of annual total rainfall (4.86 mm per year) and average temperature (0.005C). Household size, respondent’s education and maize production were statistically significant on farmer’s perception of climate change. Farmers at local and rural level seem to have insufficient knowledge about climatic patterns which will highly hinder their adaptation practices, leading to unsuccessful farming. The finding from this research can be useful for climatic disaster management and formulation of relevant plan and policies.
Mechanistic insight into the interactions of NAP1 with NDP52 and TAX1BP1 for the recruitment of TBK1

NDP52 and TAX1BP1, two SKICH domain-containing autophagy recetpors, play crucial roles in selective autophagy. The autophagic functions of NDP52 and TAX1BP1 are regulated by TBK1, which can indirectly associate with them through the adaptor protein NAP1. However, the molecular mechanism governing the interactions of NAP1 with NDP52 and TAX1BP1 as well as the effects induced by TBK1-mediated phosphorylation of NDP52 and TAX1BP1 remain elusive. Here, we reported the first atomic structures of the SKICH regions of NDP52 and TAX1BP1 in complex with NAP1, which not only uncover the mechanismtic basis underpinning the specific interactions of NAP1 with NDP52 and TAX1BP1, but also reveal the first binding mode of a SKICH domain. Moreover, we demonstrated that the phosphorylation of TAX1BP1 SKICH mediated by TBK1 may regulate the interaction between TAX1BP1 and NAP1. In all, our findings provide mechanistic insights into the NAP1-mediated recruitments of TBK1 to NDP52 and TAX1BP1, and are valuable for further understanding the functions of these proteins in selective autophagy.
Chemical Compositions and Biological Activities of Scutellaria Genus Essential Oils (Lamiaceae)

Context: Essential oils are secondary metabolites with versatile organic structures that, due to their compounds, have useful medicinal properties. There are about 250 species of the genus of Scutellaria perennial flowering plants from the Lamiaceae family. Its application for the treatment of allergy, inflammatory, hyperlipidemia, arteriosclerosis, hypertension, and hepatitis has a long history. Evidence Acquisition: Various studies on the chemical compounds of the Scutellaria genus have identified several ‎compounds, especially essentials oils. The current review is based on the evidence found in Chemical Abstract, Science Direct, Scopus, PubMed, Web of Knowledge, and Google Scholar databases. Results: Many studies on the chemical components of essential oils from the Scutellaria genus have identified several compounds. We summarized the chemical compositions and biological activities of Scutellaria essential oils. Hexadecanoic acid, germacrene D, β-caryophyllene, linalool, β-farnesene, and eugenol are the main compounds in essential oils of this genus. Despite many reports about essential oils of Scutellaria species (more than 38), a large number of species have not been studied yet. Therefore, several studies should be conducted on the chemical compounds and biological activities of unstudied Scutellaria essential oils. Conclusions: This review has summarized reports on the chemistry and biological activities of Scutellaria essential oils,‎ such as antioxidant, antimicrobial, antifeedant, phytotoxic, and acaricidal toxicities, based on the recent literature.
Overexpressed indoleamine 2, 3-dioxygenase induced T cell apoptosis via Fas/FasL and Bcl-2/Bax-related apoptotic pathways in metastatic breast cancer

IDO is reported to be related to regulatory T cells (Tregs) infiltration and promoted tumor progression, however, the direct influence of breast cancer-derived IDO on the apoptosis of T cells is remains unclearly. In this study, pIRES2-EGFP-IDO and pIRES2-EGFP empty vectors were cloned and transfected with breast cancer 4T1 cell lines by method of lipofection. Meanwhile, T cells isolated from the mice spleen were co-cultured with untreated 4T1 cells, pIRES2-IDO-4T1 cells and pIRES2-EGFP-4T1 cells for 48 h to explore the effects of IDO on T cells. The expression of IDO was detected by RT-PCR and Western Blot, and then the apoptosis of co-cultured T cell lines were analyzed by flow cytometry, using simple-T cells as control. Moreover, the expressions of apoptosis-related proteins including Fas/FasL, Bcl-2/Bax were assessed by Western blot, followed by analysis of BcL-2/Bax ratio. The results revealed that IDO was expressed in pIRES2-IDO-4T1 cells, and T cells in pIRES2-IDO-4T1/T cells co-culture system showed significantly increased apoptosis (P<0.01) compared with simple-T cells, 4T1/T cells and pIRES2-EGFP-4T1/T cells. Furthermore, Fas, FasL and Bax were significantly up-regulated in pIRES2-IDO-4T1/T cells co-culture system in comparison with simple-T cells, while Bcl-2 was markedly decreased (P<0.01). BcL-2/Bax ratio in pIRES2-IDO-4T1/T cells co-culture system was significantly reduced (P<0.01). To conclude, our results implied that IDO may trigger the apoptosis of T cells by regulating Fas/FasL and Bcl-2/Bax-related apoptotic pathways.
Formation tracking of multiple amphibious robots with unknown nonlinear dynamics

Cooperative tracking control problem of multiple water–land amphibious robots is discussed in this article with consideration of unknown nonlinear dynamics. Firstly, the amphibious robot dynamic model is formulated as an uncoupled nonlinear one in horizontal plane through eliminating relatively small sway velocity of the platform. Then cooperative tracking control algorithm is proposed with a two-stage strategy including dynamic control stage and kinematic control stage. In dynamic control stage, adaptive consensus control algorithm is obtained with estimating nonlinear properties of amphibious robots and velocities of the leader by neural network with unreliable communication links which is always the case in underwater applications. After that, kinematic cooperative controller is presented to guarantee formation stability of multiple water–land amphibious robots system in kinematic control stage. As a result, with the implementation of graph theory and Lyapunov theory, the stability of the formation tracking of multiple water–land amphibious robots system is proved with consideration of jointly connected communication graph. At last, simulations are carried out to prove the effectiveness of the proposed approaches.
Successful clean energy technology transitions in emerging economies: learning from India, China, and Brazil

Technological innovation and widespread deployment of clean-energy technologies in emerging economies are critical for a global clean energy transition. Success or failure in this endeavour will have long-term energy and carbon consequences. A fundamental question exists about whether, and how, emerging economies can accelerate clean-energy transitions, given the unprecedented scales of their impending socio-economic and infrastructure transitions, and often-underdeveloped technological innovation capabilities and supporting finances. We reflect on this question by undertaking a retrospective analysis of past and recent large-scale rapid clean-energy technology transitions in the three largest emerging economies—of light emitting diodes in India, solar photovoltaics in China, and sugarcane ethanol fuel in Brazil—each of which grew out of an unexpected set of initial technological conditions and resulted in dramatic changes to the global technological landscape. In examining how each country overcame its conventional technological lag, we discuss synthetic lessons for accelerated clean-energy transitions in emerging economy contexts: the essential role of PSEs in leveraging economies of scale; complementarities between domestic policies and global value chains; and the continued importance of domestic R&D and academia-industry linkages. We argue that forging clean-energy pathways requires a holistic systems approach, with a shift from isolated policy approaches to a portfolio of coordinated innovation policies where demand, research and development, and manufacturing are all strategically developed.
Time-Implicit Mutant Population Dynamics: Luria-Delbrück Fluctuation Test Revisited

We applied novel time-implicit dynamical models to reassess the classic Luria-Delbrück Fluctuation Test (LDFT), which has established the spontaneous and random nature of genetic mutations. Despite the profound impact of the study, full quantitative features of the seemingly simple mutational population dynamics are still under active investigation. Particularly, with a recent surge of interest in Bayesian inference, there has been renewed interest in Luria-Delbrück experiment in relation to a potential support for the controversial concept of “adaptive mutation”, by which cells increase the mutation rate corresponding to environmental stresses. Though majority of the detailed analyses showed that the mutations are not intended in any adaptive way but occur without any regard to their potential benefits, there is a possibility that random spontaneous mutation works along with Lamarckian mechanisms as exemplified by the CRISPR-Cas immunity in bacteria. Here we employed an alternative mathematical analysis, where the size of the wild-type population takes in place of time. By eliminating time, first of all, the usual but unjustified assumption of exponential growth could be easily relaxed. Furthermore, our analysis re-discovers all the stochastic versions of the original Luria-Delbrück model, and the resulting statistics could be re-examined on a more quantitative basis, shedding light on the recent calls for the extension of the Modern Synthesis.
Notch activation instructs rapid glial differentiation by multipotent neural crest stem cells

Notch activation has been widely observed to regulate cell fate determination in the nervous system by transiently inhibiting neuronal differentiation, causing progenitors to remain undifferentiated. As expected, Notch activation inhibited neuronal differentiation by neural crest cells in vivo. To study the mechanism we examined the effect of a soluble Notch accurst, Delta-Fc, on neural crest stem cells (NCSCs) that had been isolated by flow-cytometry. Surprisingly, rather than maintaining these stem cells in an uncommitted state, Delta-Fe instructively promoted Schwann (glial) cell differentiation at the expense of neuronal and myofibroblast fates. Delta-Fe increased not only the extent but also the rate of glial marker expression, suggesting that it acts positively as a differentiation-inducing signal. Induction of glial differentiation by Notch was completely dominant to neuronal differentiation induced by the instructive factor BMP2. These data suggest that expression of Notch ligands by differentiating neuroblasts can override BMP2-Induced neurogenesis and promote gliaI differentiation in neighboring cells. Thus, Notch ligand expression may be the switch that ends neuronal differentiation and initiates glial differentiation by neural crest progenitors in developing peripheral nervous system ganglia. More generally, these data suggest, that Notch can act positively as a differentiation-inducing signal for multipotent stem cells.