Miracle-dz/UniFAR-FTUs huggingface dataset:
UNIVERSITY OF CALIFORNIA SANTA CRUZ STRUCTURAL AND MECHANISTIC INSIGHTS INTO THE REGULATION OF CELLULAR QUIESCENCE BY RB AND P130 A dissertation submitted in partial satisfaction of the requirements for the degree of DOCTOR OF PHILOSOPHY

Alexander Hirschi Structural and mechanistic insights into the regulation of cellular quiescence by Rb and p130 ! The ability of a single cell to grow, replicate its genetic material, and divide into two identical daughter cells is a vital process to ensure the propagation of all life. This process is known as the cell division cycle (cell cycle) and is one of the most highly spatially and temporally regulated cellular processes. Misregulation of the cell cycle, particularly in ways that confer both a proliferative advantage and escape from ultimate growth control mechanisms like cellular senescence or apoptosis, can result in unrestrained cell division and tumor formation. In this study, I utilize structural biology, biochemistry, and biophysical data to demonstrate a novel mechanism regulating Rb phosphorylation state and to map pairwise interactions in a conserved cell-cycle regulatory complex called the MuvB Core. First, competition between CDK and PP1 for Rb access provides an efficient regulatory mechanism to dephosphorylate Rb during mitotic exit and times of genotoxic stress. Second, data is presented mapping domain contacts in the MuvB Core, and structure/function studies with MuvB Core suggest an atypical function in regulation of chromatin structure.
Psychiatric comorbid disorders of cognition: A machine learning approach using 1,175 UK Biobank participants

Conceptualising comorbidity is complex and the term is used variously. Here, it is the coexistence of two or more diagnoses which might be defined as ‘chronic’ and, although they may be pathologically related, they may also act independently1. Of interest here is the comorbidity of common psychiatric disorders and impaired cognition.To examine whether anxiety and/or depression are important longitudinal predictors of cognitive change.UK Biobank participants used at three time points (n= 502,664): baseline, 1st follow-up (n= 20,257) and 1st imaging study (n=40,199). Participants with no missing data were 1,175 participants aged 40 to 70 years, 41% female. Machine learning (ML) was applied and the main outcome measure of reaction time intraindividual variability (cognition) was used.Using the area under the Receiver Operating Characteristic (ROC) curve, the anxiety model achieves the best performance with an Area Under the Curve (AUC) of 0.68, followed by the depression model with an AUC of 0.63. The cardiovascular and diabetes model, and the covariates model have weaker performance in predicting cognition, with an AUC of 0.60 and 0.56, respectively.Outcomes suggest psychiatric disorders are more important comorbidities of long-term cognitive change than diabetes and cardiovascular disease, and demographic factors. Findings suggest that psychiatric disorders (anxiety and depression) may have a deleterious effect on long-term cognition and should be considered as an important comorbid disorder of cognitive decline.Important predictive effects of poor mental health on longitudinal cognitive decline should be considered in secondary and also primary care.Poor mental health is associated with cognitive deficits.One in four older adults experience a decline in affective state with increasing age.ML approaches have certain advantages in identifying patterns of information useful for the prediction of an outcome.Psychiatric disorders are important comorbid disorders of long-term cognitive change.Machine-learning methods such as sequence learning based methods are able to offer non-parametric joint modelling, allow for multiplicity of factors and provide prediction models that are more robust and accurate for longitudinal dataThe outcome of the RNN analysis found that anxiety and depression were stronger predictors of change IIV over time than either cardiovascular disease and diabetes or the covariate variables.The important predictive effect of mental health on longitudinal cognition should be noted and, its comorbidity relationship with other conditions such as cardiovascular disease likewise to be considered in primary care and other clinical settings
DMD053199 1914..1922

Naturally occurring furanocoumarin compounds psoralen (PRN) and isopsoralen (IPRN) are bioactive constituents found in herbaceous plants. They are widely used as active ingredients in several Chinese herbal medicines. In this study, the CYP1A2 inhibitory potential of PRN and IPRN was investigated in rats in vitro and in vivo as well as in human liver microsomes. Both compounds exhibited reversible and time-dependent inhibition toward rat microsomal cyp1a2. The IC50, kinact, and KI values were 10.4 6 1.4 mM, 0.060 6 0.002 min , and 1.13 6 0.12 mM for PRN, and 7.1 6 0.6 mM, 0.10 6 0.01 min, and 1.95 6 0.31 mM for IPRN, respectively. In human liver microsomal incubations, potent reversible CYP1A2 inhibition was observed for both compounds, with IC50 values of 0.26 6 0.01 mM and 0.22 6 0.03 mM for PRN and IPRN, respectively. However, time-dependent inhibition was only observed for IPRN, with kinact and KI values of 0.050 6 0.002 min 21 and 0.40 6 0.06 mM, respectively. Coadministration with PRN or IPRN significantly inhibited cyp1a2 activity in rats, with the area under the curve (AUC) of phenacetin increasing more than 5-fold. Simcyp simulation predicted that PRN would cause 1.71and 2.12-fold increases in the phenacetin AUC in healthy volunteers and smokers, respectively. IPRN, on the other hand, would result in 3.24and 5.01-fold increases in phenacetin AUCs in healthy volunteers and smokers, respectively. These findings represent the first detailed report comparing the potential drug–drug interactions of PRN and IPRN, and provide useful information for balancing safe and efficacious doses of PRN and IPRN.
Application of AHP on SMED for Jig and Fixture Design Selection

The purpose of this paper is to discuss the application of AHP as a decision-making tool in determining the best design model. Three design models developed were based on the SMED concept which were significant with small manufacturing enterprise jigs and fixtures engineering project. , 10 design requirements were considered and used in AHP analysis. The result shows that – the four parameters that were critical measures are gripping, ease of assembly, ease of cleaning and go-no-go inspection, meanwhile easy maintenance was less important for SMED products. Keywords—Analytical Hierarchy Process (AHP); Single-Minute Exchange Die (SMED); Design Selection
OTT_A_266095 10515..10523

1Department of Infectious Disease, Army No.82 Group Military Hospital, Baoding, People’s Republic of China; 2Department of Cellular Engineering Lab, Beijing Institute of Biotechnology, Beijing, People’s Republic of China; 3Department of Oncology, Second Medical Center of Chinese PLA General Hospital, Beijing, People’s Republic of China; 4Department of Radiation Oncology, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, People’s Republic of China; 5Department of Urology, Beijing Luhe Hospital, Capital Medical University, Beijing, People’s Republic of China
AGI September 40/3

Erwin, Christopher R. , Michael A. Helmrath, Cathy E. Shin, Richard A. Falcone, Jr., Lawrence E. Stern, and Brad W. Warner. Intestinal overexpression of EGF in transgenic mice enhances adaptation after small bowel resection. Am. J. Physiol. 277 (Gastrointest. Liver Physiol. 40): G533–G540, 1999. —The effect of direct intestinal overexpression of epidermal growth factor (EGF) on postresection adaptation has been investigated by the production of transgenic mouse lines. A murine pro-EGF cDNA construct was produced, and expression of the EGF construct was targeted to the small intestine with the use of the rat intestinal fatty acid-binding protein promoter. An approximately twofold increase in intestinal EGF mRNA and protein was detected in heterozygous mice. No changes in serum EGF levels were noted. Except for a slightly shortened small intestine, no other abnormal phenotype was observed. Intestinal adaptation (increases in body weight, DNA, protein content, villus height, and crypt depth) was markedly enhanced after a 50% proximal small bowel resection in transgenic mice compared with nontransgenic littermates. This transgenic mouse model permits the study of intestinal adaptation and other effects of EGF in the small intestine in a more physiological and directed manner than has been previously possible. These results endorse a direct autocrine/paracrine mechanism for EGF on enterocytes as a means to enhance adaptation.
an arid grassland. Global

1 Carbon dioxide (CO 2 ) efflux from soil represents one of the biggest ecosystem carbon (C) fluxes 2 and high-magnitude pulses caused by rainfall make a substantial contribution to the overall C 3 emissions. It is widely accepted that the drier the soil, the larger the CO 2 pulses will be, but this 4 notion has never been tested for water-repellent soils. Soil water repellency (SWR) is a common 5 feature of many soils and is especially prominent after dry periods or fires. An important 6 unanswered question is to what degree SWR affects common assumptions about soil CO 2 7 dynamics. To address this, our study investigates, for the first time, the effect of SWR on the CO 2 8 pulse upon wetting for water-repellent soils from recently burned forest sites. CO 2 efflux 9 measurements in response to simulated wetting were conducted both under laboratory and in 10 situ conditions. Experiments were conducted on strongly and extremely water-repellent soils, 11 with a wettable scenario simulated by adding a wetting agent to the water. CO 2 efflux upon 12 rewetting was significantly lower in the water-repellent scenarios. Under laboratory conditions, 13 CO 2 pulse was up to four times lower under the water-repellent scenario as a result of limited 14 wetting, with 70% of applied water draining rapidly via preferential flow paths, leaving much of 15 the soil dry. We suggest that the predominant cause of the lower CO 2 pulse in water-repellent 16 soils was the smaller volume of pores in which the CO 2 was replaced by infiltrating water, 17 compared to wettable soil. This study shows that SWR should be considered as an important 18 factor when measuring or predicting the CO 2 flush upon rewetting of dry soils. Although this 19 study focused mainly on short-term effects of rewetting on CO 2 fluxes, the overall implications of 20 SWR on physical changes in soil conditions can be long lasting, with overall larger consequences 21 for C dynamics. and changes in soil moisture and III) validate the CO 2 response to wetting under field This study comprises a series of wetting experiments and CO 2 efflux measurements on water- 105 repellent soils in fire-affected areas: i ) under laboratory conditions on intact core soil samples and ii ) in situ under field conditions. Soil sampling and in situ measurements were carried out at two within a recently forest in October after a wildfire before at study
Mapping of a Milk Production QTL to a 420 kb Region on Bovine Chromosome 6

A QTL affecting milk production traits was previously mapped to an interval of 7.5 cM on chromosome six in Norwegian Dairy Cattle. The present paper aimed to refine this position by increasing the map density in the region by a set of Single Nucleotide Polymorphisms, and analyzing the data with a combined linkage and linkage disequilibrium approach. Through a series of singleand multitrait and singleand multipoint analyses, the QTL was positioned to an interval surrounded by the genes ABCG2 and LAP3. As no recombinations were detected in this interval, physical mapping was required for further refining. By using Radiation Hybrid mapping as well as BAC clones, the bovine and human comparative map in the region are resolved, and the QTL mapped within a distance of 420 kb.
Evaluation of Spinetoram against Odontotermes Brunneus Hagen (Isoptera: Termitidae) in laboratory and field condition

Field experiments were carried out during 2013-14 in N. E. B. Crop Research Centre of G.B. P.U. A. &T. , Pantnagar (Uttarakhand) to evaluate the field efficacy of spinetoram 11.7% SC against termites in sugarcane crop. Sugarcane cultivar CoP 97222 was used for experiment. The plot size was 8 ×5 m, row to row distance 90 cm, 3 budded setts were used as planting material and date of planting was 20 March, 2013. The experiment was laid out in a randomized block design with four replications. Six treatments including control were allocated randomly to different plots in each of the three blocks. Foraging workers were collected from termitarium present near Practical crop production, campus of GBPUA&T, Pantnagar. The termite individuals were transferred separately in three glass jars (dia. 20 cm, height 15 cm) having an inner lining of moist filter paper. These jars with termite individuals were kept in laboratory at room temperature (25C and 80 ± 5% RH) in dark conditions. The top of the jar was covered with slightly moist muslin cloth. All termites were tested within three days of collection and only active and healthy termites were used for the experiments. Spinetoram belongs to spinosyn group, which have novel mode of action and are widely used for the management of various agricultural pest. In this study, Spinetoram 11.7 w/w evaluated for their efficacy in laboratory as well as in sugarcane crop field. In the laboratory test, it was found that at 24HAE, efficacy of Spinetoram (LC50 31.9 ppm) was higher as compare to Imidacloprid (LC50 52.5 ppm) while field evaluation of insecticides application against termites in sugarcane crop showed the order of efficacy of various treatments as Spinetoram (1500 > 750 ml/ha) > Chloropyrifos> Fipronil > Imidacloprid > Control.
DMSO_A_294555 705..717

1Department of Pharmaceutical Medicine, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, 110062, India; 2Centre for Translational and Clinical Research, School of Chemical & Life Sciences, Jamia Hamdard, New Delhi, 110062, India; 3Hamdard Institute of Medical Sciences and, Research, HAH Centenary Hospital, New Delhi, 110062, India; 4Physician and Healthcare Consultant. Formerly, Sun Pharmaceuticals Industries Limited, Gurgaon, 122015, India Purpose: Type 2 diabetes mellitus (T2DM), a metabolic disorder, remains associated with a physiological impairment affecting large populations worldwide. Onset of T2DM is multifactorial where obesity and abnormal basal metabolic rate are considered most critical. Of people diagnosed with T2DM, about 80% are also obese. It is also reported that obese individuals have an increased odds of developing depression, whereas T2DM is estimated to increase the incidence by two-fold. The preponderance of research data demonstrates that T2DM alters the serum level of cortisol and adiponectin which are known to be associated with neuronal physiology. The study explored, how a metabolic disorder like T2DM is linked with the altered plasma level of cortisol and adiponectin, the risk factors for stress and depression. Patients and Methods: A cross-sectional population study was conducted in T2DM patients using a bimodal approach. First approach used questionnaires, (1) Patient Health Questionnaire (PHQ-9) and (2) Stress Coping Inventory Questionnaire (SCQ) to assess signs and symptoms of depression and stress, respectively, in T2DM patients. In the second approach, robust biochemical analysis was conducted for serum adiponectin and cortisol levels. Results: An association of T2DM in stress and depression was evaluated in 158 subjects (105 T2DM obese patients and 53 healthy controls). A lower PHQ-9 score and adiponectin levels were seen in T2DM obese patients compared to healthy controls (p<0.05). Further, results also depicted a lower adiponectin levels in T2DM obese patients with depression compared to T2DM obese patients without depression (p<0.05). The study did not find a significant difference in cortisol serum levels among the T2DM and control groups. However, a higher level of serum cortisol was reported in T2DM obese patients with depression over those T2DM obese patients who lacked depression (p<0.05). Conclusion: The findings suggest that T2DM obese patients might have a higher risk of developing stress and depression. Further, biochemical parameters, adiponectin and cortisol, might be the potential biomarkers for T2DM and may help in early diagnosis of these comorbid conditions.
The Stress Tests with the Designation of Oxygen in the Blood in the Evaluation of the Idiopathic Pulmonary Fibrosis

Background: The aim of this work is to characterize how important is effort research with blood gas measurement to estimate IPF (Idiopathic Pulmonary Fibrosis) course with reference to standards of this estimate that are spirometry research, diffusive capacity of lungs research, HRCT (High Resolution Computed Tomography) Methods: In the research, there were included patients who had at the same time spirometry research, diffusive capacity of lungs research, effort research with blood gas measurement, before and after effort, HRCT of lungs. The received dates were compared with the dates of the next hospitalization, whereas all above mentioned researches were conducted. The criterion of including in research was existence of fibrosis of lungs stated in HRCT of chest in patients with IPF. The diagnosis of acute interstitial fibrosis of lungs was established on the basis of clinic characteristics and additional researches conducted in Lung Diseases and Tuberculosis Clinic in Zabrze. All dates were received on the basis of archival documentation of Lung Diseases and Tuberculosis Clinic in Zabrze. 18 patients with IPF were examined. 10 females and 8 males. Aged since 33 to 72. Results: The conducted researches showed that the changes in HRCT appear together with the changes of suppleness of oxygen in effort and FVC (forced vital capacity) among patients with IPF. For patients with interstitial changes in lungs valuable researches are (in order) estimate of PaO 2 (partial pressure of the oxygen in arterial blood) in effort TAU = 0,7(value of tau-Kendall statistic); p= 0,012 (value of Pearson’s chi square statistic) estimate of FVC (TAU = 0,280; p= 0,011). In this case the value of DLCO (diffusing capacity or transfer factor of the lung for carbon monoxide) in rest was not statistically essential (p=0,2). Conclusion: On the basis of above results the measurement of PaO 2 is suggested, in the highest effort as the main research in progression of fibrosis of tissue monitoring of patients with IPF.
CMAR_A_236576 2265..2278

*These authors contributed equally to this work Purpose: Previous studies have identified the important roles of a long noncoding RNA called FGD5 antisense RNA 1 (FGD5-AS1) in several types of human cancer. Nonetheless, to our knowledge, the expression and functions of FGD5-AS1 in esophageal squamous cell carcinoma (ESCC) have not been clarified. In this study, we aimed to determine the expression status of long noncoding RNA FGD5-AS1 in ESCC, determine its participation in ESCC progression, and uncover the underlying mechanisms. Methods: ESCC tissue samples and paired normal adjacent tissues were collected to quantify FGD5-AS1 expression by reverse-transcription quantitative PCR. The effects of FGD5-AS1 on ESCC cell proliferation, apoptosis, migration, and invasion in vitro as well as tumor growth in vivo were studied using a Cell Counting Kit-8 assay, flow cytometry, Transwell migration and invasion assays, and an in vivo tumor xenograft experiment. Results: FGD5-AS1 was found to be aberrantly upregulated in both ESCC tumors and cell lines compared to the control groups. Increased FGD5-AS1 expression manifested a close association with tumor size, TNM stage, and lymph node metastasis in patients with ESCC. Overall survival of patients with ESCC was shorter in the FGD5-AS1 high-expression group than in the FGD5-AS1 low-expression group. An FGD5-AS1 knockdown markedly attenuated ESCC cell proliferation, migration, and invasion and promoted apoptosis in vitro as well as slowed tumor growth in vivo. Mechanism investigation revealed that FGD5-AS1 can increase SP1 expression by sponging microRNA-383 (miR-383), thus functioning as a competing endogenous RNA. An miR-383 knockdown and recovery of SP1 expression attenuated the inhibition of the malignant characteristics of ESCC cells by the FGD5-AS1 knockdown. Conclusion: Thus, FGD5-AS1 enhances the aggressive phenotype of ESCC cells in vitro and in vivo via the miR-383–SP1 axis, which may represent a novel target for ESCC therapy.
An Economic Model of Remote Specialist Consultations using Videoconferencing

Remote specialist consultations using videoconferencing have the potential to reduce costs and improve access to health care services. The University Hospital of North Norway now plans to replace some outpatient consultations with videoconferencing. As part of this initiative, a project assessing the use of models to analyse the economic impact of videoconferencing has been initiated. In this project, existing evidence found in the peerreviewed literature and local cost data were used to build a model that illustrates the decision problem associated with investing in videoconferencing. This paper proposes a generic model that can be used as a template for more specific videoconferencing models. This work also presents a specific model illustrating the expected outcomes in the field of urology. Both of these models can be used to clarify the options under consideration, to assess potential costs and benefits, and to determine whether further analysis is need to enable informed decision making in the field. This paper also presents a threshold analysis and shows values for when a conclusion changes in favour of one of the options.
Student Risk Identification Model Using Random Forest Algorithm

The main aim of this work is address the issues and predict students who fail or not complete their online graduation course within stipulated time. Training of the existing machine learning (ML) model is done from existence of data from previous course. This manuscript finds the solution for efficient learning when we don’t have learning data from previous years for a particular course (i.e., for the new course introduced which has no history). To address the problem mentioned the proposed work builds a machine learning model which uses data from newly introduced course. For this the proposed model uses newly introduced course data of already submitted task, Hence the model induces imbalanced data issues. For addressing this issue, this work presents a Random Forest (RF) classification algorithm. By the results obtained by experiments conducted we see that a significant outcome is attained by proposed model compared to existing ML models.