Miracle-dz/UniFAR-FTUs huggingface dataset:
Running head: Functional similarity between ALB3 and ALB4 3

56 ALB3 is a well-known component of a thylakoid protein targeting complex that interacts 57 with the chloroplast signal recognition particle (cpSRP) and the cpSRP receptor, cpFtsY. Its 58 protein-inserting function has been established mainly for light harvesting complex proteins 59 (LHCPs), which first interact with the unique chloroplast cpSRP43 component and then are 60 delivered to the ALB3 integrase by a GTP-dependent cpSRP-cpFtsY interaction. In 61 Arabidopsis thaliana , a subsequently discovered ALB3 homologue, ALB4, has been 62 proposed to be involved not in LHCP targeting but instead in the stabilisation of the ATP 63 synthase complex. However, here we show that ALB3 and ALB4 share significant functional 64 overlap, and that both proteins are required for the efficient insertion of cytochrome f and 65 potentially other subunits of pigment-bearing protein complexes. Genetic and physical 66 interactions between ALB4 and ALB3, and physical interactions between ALB4 and cpSRP, 67 suggest that the two ALB proteins may engage similar sets of interactors for their specific 68 functions. We propose that ALB4 optimizes the insertion of thylakoid proteins by 69 participating in the ALB3-cpSRP pathway for certain substrates (e.g., cytochrome f and the 70 Rieske protein). While ALB4 has clearly diverged from ALB3 in relation to the partner- 71 recruiting C-terminal domain, our analysis suggests that one putative cpSRP-binding motif 72 has not been entirely lost.
Mathematical model predicts anti-adhesion#_#x2013;antibiotic#_#x2013;debridement combination therapies can clear an antibiotic resistant infection

As antimicrobial resistance increases, it is crucial to develop new treatment strategies to counter the emerging threat. In this paper, we consider combination therapies involving conventional antibiotics and debridement, coupled with a novel anti-adhesion therapy, and their use in the treatment of antimicrobial resistant burn wound infections. Our models predict that anti-adhesion–antibiotic–debridement combination therapies can eliminate a bacterial infection in cases where each treatment in isolation would fail. Antibiotics are assumed to have a bactericidal mode of action, killing bacteria, while debridement involves physically cleaning a wound (e.g. with a cloth); removing free bacteria. Anti-adhesion therapy can take a number of forms. Here we consider adhesion inhibitors consisting of polystyrene microbeads chemically coupled to a protein known as multivalent adhesion molecule 7, an adhesin which mediates the initial stages of attachment of many bacterial species to host cells. Adhesion inhibitors competitively inhibit bacteria from binding to host cells, thus rendering them susceptible to removal through debridement. An ordinary differential equation model is developed and the antibiotic-related parameters are fitted against new in vitro data gathered for the present study. The model is used to predict treatment outcomes and to suggest optimal treatment strategies. Our model predicts that anti-adhesion and antibiotic therapies will combine synergistically, producing a combined effect which is often greater than the sum of their individual effects, and that anti-adhesion–antibiotic–debridement combination therapy will be more effective than any of the treatment strategies used in isolation. Further, the use of inhibitors significantly reduces the minimum dose of antibiotics required to eliminate an infection, reducing the chances that bacteria will develop increased resistance. Lastly, we use our model to suggest treatment regimens capable of eliminating bacterial infections within clinically relevant timescales. PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi. 1007211 July 23, 2019 1 / 39 a1111111111 a1111111111 a1111111111 a1111111111 a1111111111
Effects of Sterilization on Bioactives of Jatropha dioica and Opuntia oligacantha Extracts, and on Antimicrobial Capacity against Streptococcus mutans

Natural extracts have been used as antimicrobial agents, and extracts of the rhizomes of the dragon’s blood plant (Jatropha dioica) and of the fruit of xoconostle ‘Ulapa’ (Opuntia oligacantha) are among these agents. To be able to use the extracts, it is necessary to eliminate their natural microbiota by the means of sterilization methods; however, the effects of thermal sterilization on their properties have not been evaluated. The objective of the study was to evaluate the physico-chemical, antioxidant, and antimicrobial properties of extracts of the rhizomes of dragon’s blood and the fruit of xoconostle, when not sterilized, and when sterilized by autoclaving. The contents of phenolic compounds, flavonoids, antioxidant, and antimicrobial activity against Streptococcus mutans were not affected in autoclave-sterilized extracts of dragon’s blood rhizomes, and naringenin, apigenin, galagina, vanillic, and caffeic acid were detected, while in autoclave-sterilized extracts of xoconostle fruits, the betalain content decreased, with galagin, gallic, vanillic, and p-coumaric acid being identified. The minimum inhibitory concentration for the extract sterilized by autoclaving dragon’s blood was 2 mg/mL, and for the extract sterilized by autoclaving xoconostle, it was 28 mg/mL. Both represent natural alternatives as antimicrobial agents against S. mutans.
Weighty Balancing Weight Gain with Cardiovascular Risk among Patients with Type 1 Diabetes Mellitus on Intensive Insulin Therapy

157 Type 1 diabetes mellitus, characterized by a deficiency of insulin production owing to damaged pancreatic β-cells, is associated with a 10-fold increase in the risk of cardiovascular disease in comparison with the general population. Intensive insulin therapy, whether administered by multiple daily injections or continuous infusion via a pump, is the cornerstone of glycemic control in the patient with type 1 diabetes mellitus. Much of what we know regarding the benefits of intensive insulin therapy is derived from the Diabetes Control and Complications Trial (DCCT), a trial of patients with type 1 diabetes mellitus who were randomly assigned to either intensive or conventional insulin treatment.
in with Copeptin and NTproBNP in patients with acute Q - myocardial infarction complicated by acute heart failure with hyperglycemia on admission

Introduction. Acute heart failure is a complication of Q-myocardial infarction that affects the acute period and long-term outcome of the disease. The study of new predictors and outcomes of acute heart failure remains an urgent problem. Objective. To assess the levels of copeptin and NTproBNP in acute period of Q - myocardial infarction complicated by acute heart failure with hyperglycemia (HG) on admission. Materials and methods. The study involved 139 patients with acute MI Q-complicated by acute heart failure, who were divided into two groups: normoglycemia (n = 31) and HG on admission (n = 108). There were selected subgroups of HG: stress HG (n = 34), impaired glucose tolerance (IGT) (n = 26), new-onset type 2 diabetes (n = 25), type 2 diabetes mellitus (DM) in history (n = 23). The control group included 26 healthy individuals. The general clinical examination, echocardioscopy, continuous daily monitoring of ECG and blood pressure were performed, the levels of insulin, copeptin and NTproBNP were determined. Results. Compared with control group the patients with normoglycemia showed significantly higher level of copeptin higher than in the control group. In order to identify factors affecting the level of copeptin, a model of multiple linear regression was made. Conclusions. The most significant changes of copeptin were identified in groups of hyperglycemia on admission and stress HG. On the 12th day the increase of copeptin level, compared with the control group, retained in normoglycemia, hyperglycemia on admission and stress hyperglycemia patients. NTproBNP level was significantly increased in all patients, regardless of the presence and type of hyperglycemia. Systolic blood pressure in the pulmonary artery, the presence of the clinical manifestations of heart failure and hyperglycemia on admission have a predictive property, that allows to use them in the linear regression model to predict copeptin level.
This is a repository copy of A Behaviour Change Intervention to reduce home exposure to second hand smoke during pregnancy in India and Bangladesh : a theory and evidence-

eprints@whiterose.ac.uk https://eprints.whiterose.ac.uk/ Reuse Items deposited in White Rose Research Online are protected by copyright, with all rights reserved unless indicated otherwise. They may be downloaded and/or printed for private study, or other acts as permitted by national copyright laws. The publisher or other rights holders may allow further reproduction and re-use of the full text version. This is indicated by the licence information on the White Rose Research Online record for the item.
BOUNDING d - DISTANCE BY INFORMATIONAL DIVERGENCE: A METHOD TO PROVE MEASURE CONCENTRATION 1

There is a simple inequality by Pinsker between variational distance and informational divergence of probability measures deﬁned on arbitrary probability spaces . We shall consider probability measures on sequences taken from countable alphabets, and derive, from Pinsker’s inequality, bounds on the d -distance by informational divergence . Such bounds can be used to prove the ‘‘concentration of measure’’ phenomenon for some nonproduct distributions .
Long Non-Coding RNA NEAT1 Promoted Hepatocellular Carcinoma Cell Proliferation and Reduced Apoptosis Through the Regulation of Let-7b-IGF-1R Axis

Background and aim: Long non-coding RNA nuclear-enriched abundant transcript 1 (NEAT1) is abnormally expressed in various human malignancies, including hepatocellular carcinoma (HCC). Let-7b is a miRNA with the effect of a tumor suppressor gene, and its expression level in various tumor tissues is lower than that in normal tissues. Studies have found that IGF-1R can be abnormally activated in the process of hepatocyte deterioration, and the expression level of IGF-1R in HCC is signi ﬁ cantly up-regulated. The aim of this study was to investigate the functional mechanism of NEAT1/let-7b-IGF-1R axis in HCC. Methods: The expressions of NEAT1 and microRNA (miR)-let-7b in HCC tissues and cell lines were quanti ﬁ ed by quantitative real-time PCR (qRT-PCR). The effect of NEAT1 on tumor growth was observed in a mice model of transplanted hepatoma. The effects of down-regulation or up-regulation of NEAT1 expression in HCC cell lines were analysed from the perspectives of cell viability and apoptosis. The binding sites of NEAT1 and miR-let-7b were predicted by biological software. The expression of the miR-let-7b target molecules IGF-1R was detected by Western blotting. Results: The results showed that the expressions of NEAT1 were signi ﬁ cantly increased, while the expressions of miR-let-7b were decreased in the HCC tissues and cell lines. Additionally, it was found that the expressionsofNEAT1 and miR-let-7b showed a negative correlation in HCC tissues. The mouse model experiments con ﬁ rmed that the interference with NEAT1 expression inhibited the tumor growth. Meanwhile, the cell viability of HepG2/Huh7 cell lines was signi ﬁ cantly decreased via the downregulation of NEAT1, whereas the corresponding rates of apoptosis were signi ﬁ cantly increased. It was further proven that there was a certain negative regulatory mechanism between NEAT1 and miR-1et-7b, which was related to the expression of IGF-1R. Conclusion: The over-expression of NEAT1 could promote the proliferation of HCC cells by inhibiting the expression of the miR-let-7b regulated by IGF-1R.
Modes of Experience: Everyday Aesthetics Between Erlebnis , Erfahrung , and Lebenswelt

This paper focuses on the notion of experience, whose conceptual analysis seems to be often neglected or at least not sufﬁciently made explicit in the current discourse on Everyday Aesthetics. In our investigation this notion will be tackled, in particular, through the lens of such concepts as Erlebnis, Erfahrung and Lebenswel t, which are drawn from the continental philosophical tradition. Purpose of the paper is to present a provisional framework aimed at clarifying that a more accurate conceptualization of experience allows for a better contemporary reﬂection on the aesthetics of everyday life. |
Roadmap-based Planning in Human-Robot Collaboration Environments

—Enabling humans and robots to work together allows for cost savings and workplace efﬁciency. The robot must be equipped to perceive humans, and redirect its actions for co-operative tasks or under hazardous situations. Thus, dynamic motion planning appears as an essential exercise. We use dynamic roadmaps for online motion planning in changing environments combined with a voxel-based grid. The presented approach can answer path planning queries efﬁciently. Visualized simulation is an important technique for rapid veriﬁcation of algorithms or prototypes. We present an architecture that implements a simulation of the robotic manipulator using the Robot Operating System (ROS) and MoveIt.
THE HYPOGLYCEMIC EFFECT OF FENUGREEK SEEDS IN TYPE 2 DIABETES

The present study was conducted to evaluate the effect of Fenugreek seed powder on blood glucose along with nutritional status, Knowledge, Attitude and Practice in Type 2 Diabetic patients.50 subjects were divided into group I (Standard Conventional Treatment) and group II (Standard Conventional Treatment and Fenugreek seed powder 25 g per day for a period of 3 weeks). Results: The mean age was 50.87±10.76 years in males and 50.69± 10.85 in females. The mean duration of the disease was 5.62 ±5.54 yrs. 95.65% females had raised BMI >23 kg/m² compared to 76.1% in males. Similarly, 76% of females had a WHR above the cut off value as compared 47.61% to males. The mean knowledge score was 7.85±1.21; attitude score was 35.75±4.07 and Practice score was 12.57±2.04. The Intervention group have shown significant reduction in FBS (P= 0.001) and PPBS (P=0.000). In the control group there was a significant reduction in the PPBS (P=0.007). However, the significance was more in the intervention group than control group. Conclusion: Our study has shown high prevalence of general and central obesity in type 2 diabetic patients with good knowledge with poor practice towards diabetes management. Fenugreek seed powder supplementation has shown a significant improvement in the fasting and post prandial blood glucose levels. Thus, indigenous and natural food based intervention like fenugreek seeds can be used as an adjuvant in the management of diabetes.
Generation and Decay Mechanisms of Ningaloo Ni ~ no/Ni ~ na Journal of Geophysical Research: Oceans

Using an ocean model, generation and decay mechanisms of warm/cool sea surface temperature anomalies (SSTAs) off Western Australia, or Ningaloo Ni ~ no/Ni ~ na, are investigated through the calculation of a mixed-layer temperature (MLT) balance taking the mixed-layer depth (MLD) variation into account. Since Ningaloo Ni ~ no/Ni ~ na develops owing to local air-sea interaction and/or remote forcing, events are classiﬁed into two cases based on alongshore wind anomalies and analyzed separately. It is revealed that the anomalous meridional advection associated with the stronger Leeuwin Current and the enhanced warming by the climatological shortwave radiation because of the shallower MLD generate warm SSTAs in the coastal region for both cases of Ningaloo Ni ~ no. On the other hand, the latent heat ﬂux damps SSTAs only in a case without northerly alongshore wind anomalies. In the decay, larger sensible heat loss is important. Because of the reduced meridional temperature gradient, the meridional advection eventually damps SSTAs. The sensitivity change to the climatological shortwave radiation owing to MLD anomalies explains offshore MLT tendency anomalies for both cases throughout the events. The mechanisms for Ningaloo Ni ~ na are close to a mirror image of Ningaloo Ni ~ no but differ in that the latent heat ﬂux damps offshore SSTAs. The seasonal phase-locking nature of Ningaloo Ni ~ no/Ni ~ na is related to the seasonal variations of MLD and surface heat ﬂuxes, which regulate the amplitude and sign of the sensitivity change to surface heat ﬂuxes. It is also related to the seasonal variations of the Leeuwin and meridional temperature through advection anomalies.
Research Online Research Online Mindfulness-based treatment for bipolar disorder: A systematic Mindfulness-based treatment for bipolar disorder: A systematic review of the literature review of the literature

Despite the increasing number of studies examining the effects of mindfulness interventions on symptoms associated with Bipolar Disorder (BD), the effectiveness of this type of interventions remains unclear. The aim of the present systematic review was to (i) critically review all available evidence on Mindfulness Based Cognitive Therapy (MBCT) as a form of intervention for BD; (ii) discuss clinical implications of MBCT in treating patients with BD; and (iii) provide a direction for future research. The review presents findings from 13 studies (N = 429) that fulfilled the following selection criteria: (i) included BD patients; (ii) presented results separately for BD patients and control groups (where a control group was available); (iii) implemented MBCT intervention; (iv) were published in English; (v) were published in a peer reviewed journal; and (vi) reported results for adult participants. Although derived from a relatively small number of studies, results from the present review suggest that MBCT is a promising treatment in BD in conjunction with pharmacotherapy. MBCT in BD is associated with improvements in cognitive functioning and emotional regulation, reduction in symptoms of anxiety depression and mania symptoms (when participants had residual manic symptoms prior to MBCT). These, treatment gains were maintained at 12 month follow up when mindfulness was practiced for at least 3 days per week or booster sessions were included. Additionally, the present review outlined some limitations of the current literature on MBCT interventions in BD, including small study sample sizes, lack of active control groups and idiosyncratic modifications to the MBCT intervention across studies. Suggestions for future research included focusing on factors underlying treatment adherence and understanding possible adverse effects of MBCT, which could be of crucial clinical importance. to in activity for the BD group n = activation of non-relevant to the healthy n and cingulate cortices. This found that BD participants had deficits in resting brain activity, which may have reduced their ability to attend to relevant After participating in week MBCT, the BD group showed changes in the frontal EEG activity (beta activity was was associated with slight improvement in attention readiness (the effect size was not reported).
Undergraduate Research: Deep Learning Based Plant Classiﬁers and Their Real-Life Research Applications

Deep learning structures, such as Convolutional Neural Networks (CNNs), have been introduced to the undergraduate students in Central State University for the past three years. Funded by an 1890 Land Grant Evans-Allen research program and a USDA Capacity Building Grant, a number of students with minimum deep learning background were trained to develop customized CNNs. After training, the students were able to solve given plant classification problems and develop plant classification apps to showcase the performance of the customized CNNs. In particular, two students’ research projects were discussed in details in this work. One project’s goal was to identify Soybean (Glycine max) in its Cotyledon (VC) and 1st -5th trifoliate stages, the other project’s goal was to identify Hemp (Cannabis sativa) in its three variations. The databases used in these projects were built from real field images, which contain 9 common weed species. The students’ achievement, as well as discovered issues, are assessed and reported in this work. The students’ projects will be further used to support our 1890 Land Grant and CBG research.
Research Online Research Online Extending Asterism decoding to QAM and its complexity in Rician fading Extending Asterism decoding to QAM and its complexity in Rician fading MIMO systems MIMO systems

Abstract The area of Multiple Input Multiple Output (MIMO) communications systems has received enormous attention recently as they can provide a roughly linear increase in data rate by using Multiple Transmit and Receive antennas. The optimal detection strategy for a MIMO receiver is to perform a Maximum-Likelihood (ML) search over all possible transmitted symbol combinations has an exponential complexity when the constellation size of number of transmit antennas increase. A number of sub-optimal decoders, such as VBLAST, provide linear decoding only where the number of receive antennas is at least equal to the number of transmit antennas . Asterism decoding proposed in [7] [8], described a scheme that achieved ML performance for PSK MIMO systems. By considering the larger complex constellation created by a multiple transmit antennas and a single receive antenna. The decoder was then extended to achieve ML like performance for any number of receive antennas. This paper investigates the extension of Asterism decoding for QAM modulation schemes. It further shows that Asterism decoding has an approximate order of magnitude reduction in computational complexity when compared to ML decoding, and shows that this reduction is possible not only for Rayleigh fading channels, but also most Rician flat fading channels. Abstract —The area of Multiple Input Multiple Output (MIMO) communications systems has received enormous attention recently as they can provide a roughly linear increase in data rate by using Multiple Transmit and Receive antennas. The optimal detection strategy for a MIMO receiver is to perform a Maximum-Likelihood (ML) search over all possible transmitted symbol combinations has an exponential complexity when the constellation size of number of transmit antennas increase. A number of sub-optimal decoders, such as VBLAST, provide linear decoding only where the number of receive antennas is at least equal to the number of transmit antennas . Asterism decoding proposed in [7] [8], described a scheme that achieved ML performance for PSK MIMO systems. By considering the larger complex constellation created by a multiple transmit antennas and a single receive antenna. The decoder was then extended to achieve ML like performance for any number of receive antennas. This paper investigates the extension of Asterism decoding for QAM modulation schemes. It further shows that Asterism decoding has an approximate order of magnitude reduction in computational complexity when compared to ML decoding, and shows that this reduction is possible not only for Rayleigh fading channels, but also most Rician ﬂat fading channels.