Miracle-dz/UniFAR-FTUs huggingface dataset:
Pulverized Mangifera Indica ( mango ) Seed kernel Mitigated Monosodium Glutamate-Intoxicated rats ’ Kidney Histology and Bio-functions

Diets high in saturated fatty acids, refined carbohydrates and sodium, but low in fiber are associated with a higher risk of diet-related chronic diseases [1]. To reduce the burden of chronic diseases, the World Health Organization (WHO) has recommended that the food industry should limit the content of saturated and trans fatty acids, sodium, and sugar in existing food products. In addition, developing new products with better nutritional value is recommended [2].
DEEP LEARNING ARCHITECTURES FOR COMPUTER VISION

Deep learning has become part of many state-of-the-art systems in multiple disciplines (specially in computer vision and speech processing). In this thesis Convolutional Neural Networks are used to solve the problem of recognizing people in images, both for verification and identification. Two different architectures, AlexNet and VGG19, both winners of the ILSVRC, have been fine-tuned and tested with four datasets: Labeled Faces in the Wild, FaceScrub, YouTubeFaces and Google UPC, a dataset generated at the UPC. Finally, with the features extracted from these fine-tuned networks, some verifications algorithms have been tested including Support Vector Machines, Joint Bayesian and Advanced Joint Bayesian formulation. The results of this work show that an Area Under the Receiver Operating Characteristic curve of 99.6% can be obtained, close to the state-of-the-art performance.
Satellite Remote Sensing of Dust Aerosol Indirect Effects on Cloud Formation

We undertook a new approach to investigate the aerosol indirect effect of the first kind on cloud formation by using available data products from MODIS, and obtained physical understanding about the interaction between aerosols and clouds. Our analysis focused on the examination of the variability in the correlation between cloud parameters (optical depth, effective particle size, cloud water path, and cloud particle number concentration) and aerosol optical depth and number concentration that were inferred from available satellite cloud and aerosol data products. Correlation results for a number of selected scenes containing dust and clouds are presented and dust aerosol indirect effects on clouds are directly demonstrated from satellite observations.
Isolation of Acetobacter xylinum from Kombucha and Application of Cellulose Material Produced by Bacteria from Some Culture Media for Drug Carrier Nguyen

Bacterial cellulose (BC) can be produced by bacteria in culture media. BC contain some superior properties such as a nanosized ultrafine fiber network, high water-holding capacity and ease of fabrication into a desired shape, which are capable of drug absorbing to form a prolonged release therapy to improve drug bioavailability. BCs were prepared and evaluated for drug carrier using curcumin and famotidine as model drugs. Acetobacter xylinum was successfully isolated from Kombucha. BC was produced by Acetobacter xylinum in the standard medium (SM), coconut medium (CM) and rice medium (RM). The BC-CM, and BC-RM have characteristics the same as the BC-SM, and BC can be fabricated with the desired thickness and diameter in culture media. BCs were absorbed the famotidine in optimal condition with no difference in famotidine loading (20mg) and entrapment efficiency (89-90%). The amount of loaded curcumin and entrapment efficacy of BC-SM and BC-CM were higher than them of BC-RM. Investigation of the BC structure by SEM showed that the cellulose fibers of BC-SM and BC-CM have a stable structure, without modifications in structure when loading under optimal condition. The results indicate the potential for using BC-SM and BC-CM to produce the drug carrier.
Aihara Substituent Effects on O – H Proton Dissociation Enthalpies of Catecholic Cation Radicals : A DFT Study Hong –

Substituent Effects on O–H Proton Dissociation Enthalpies of Catecholic Cation Radicals: A DFT Study Hong–Yu Zhang, Xiu–Li Wang, and You–Min Sun 1 Laboratory for Computational Biology, Shandong Provincial Research Center for Bioinformatic Engineering and Technique, Shandong University of Technology, Zibo 255049, P. R. China 2 Department of Chemistry, Shandong Teachers’ University, Jinan 250014, P. R. China 3 Institute of Theoretical Chemistry, Shandong University, Jinan 250100, P. R. China
Association between Parent ’ s Social Status on Longitudinal Weight Gain of Santal Early Preschool Children of Jhargram District , West Bengal , India

Background: An early childhood growth pattern is an important parameter of well-being in both developed and developing countries. Child growth is influenced by multiple biological and social cultural factors. The parent’s education and occupational status are as an important role in the early stages of child growth and development. Objective: The aim of this study was to assess the impact of parent’s education and occupational status on child's growth pattern. Methods: This longitudinal study was conducted in tribal areas of the Jhargram district of West Bengal, India, during 2012 to 2015. Weight of each child aged 1month to 47 months was measured and recorded by trained staff, using baby weighing scale to the nearest 0.5 kg. All information was collected by using a structured schedule through one to one interview. Child percentile growth was calculated based on recent WHO child growth standard. Weight velocity and individual average weight gain were calculated based on standard method. Results: A total of 179 Santal preschool children was included in this study. The proportion of children with weight increment under the 25 percentile was 16 % for boys and 29% for girls. In terms of parent’s education, the weight increment of a higher proportion of children (above 30%) was under the 25 th percentile, if the parents were illiterate, compared with about 16% when the parents were literate (P < 0.05). Earning mothers had a significantly lower proportion of children with weight gain below the 25 percentile compared to mothers who were non-earning with father secondary employed had a lower proportion of children (22%) with weight increment under the 25 percentile than fathers primary sector employment. Conclusions: Low weight increments of tribal children are strongly associated with the parent’s low education,and nonearning mothers. More well-designed studies with a larger augmentation and longer follow-up are needed to validate the present outcome.
THE ORDER OF GROWTH OF THE FOURTH PAINLEVÉ TRANSCENDENTS

Let w be a transcendental solution of the fourth Painlevé equation w′′ = (w′)2 2w + 3 2 w + 4zw + 2(z − α)w + β w . It has a rst integral w′ 2 = w + 4zw + 4(z − α)w − 2β − 4wU, where the auxilliary function U satis es U ′ = w + 2zw. We will consider three speci c cases of limit behaviors of the auxiliary function U outside certain exceptional sets. In each case, we conclude that w is either of order ρ(w) = 2 or of order ρ(w) = 4.
Unconventional monetary policy and households’ financial portfolio choices∗

I use data on Italian households’ financial portfolios to examine how the unconventional monetary policy tools implemented by the ECB affect families’ asset allocation choices. Using survey data on the portfolio composition of Italian families, I first disentangle any household change in financial wealth into its active saving component and its passive saving component (capital gains) using financial indexes. Then, I employ a two-step model to estimate the impact of unconventional measures on portfolio rebalancing, focusing on two asset groups, risky and non risky, and on three different households’ groups. In order to identify the effects of unconventional monetary policy, I exploit households’ cross sectional heterogeneity in the exposure to unconventional monetary policy due to their heterogeneous portfolio composition, while unconventional monetary policy is measured through assets valuation effects induced by ECB’s announcements. The empirical analysis shows that unconventional monetary policy affects households portfolio composition in a direction that is consistent with the portfolio rebalancing channel, i.e. reducing the exposure to safe assets and increasing the investment in risky assets. JEL-Classification: D12, E21, E58.
Factors Influencing Filament Length of MethanospiriZZurn hungatii

Cultivation of Methanospirillum hungatii GP1 at 35 "C in low PO,3(3.0 mM) medium resulted in growth as motile curved rods (6 to 8 x 0.5 pm). However, predominantly long filaments averaging 70 to 300 pm were observed in the presence of high concentrations of PO,3(43.7 mM) or Na+ (225 mM) or after incubation at 25 "C in low PO,3medium. These conditions also resulted in decreased growth rates. Tests with cell-free extracts of long and short form filaments indicated that long filament formation is probably related to a deficiency in heat-labile factor(s) required for cell separation.
UNSUPERVISED GENERATIVE PRE-TRAINING

The French TARPON project aims to build a national injury surveillance system based on emergency room (ER) visit reports. To this end, it is necessary to develop a coding system capable of classifying the causes of these visits based on the automatic reading of clinical notes written by emergency room clinicians. While supervised learning techniques have shown good results in this area, they require manual coding of a large number of texts in order to build a sufficiently large learning annotated sample. New levels of performance have been recently achieved in neural language models (NLM) over the past two years with the use of models based on the Transformer architecture with an unsupervised generative pre-training step. Our hypothesis is that methods involving a generative self-supervised pre-training step significantly reduce the number of annotated samples required for the supervised fine-tuning phase. To measure the potential gain in terms of manual annotation work obtained by adopting this pre-training step, we exploited the fact that we could derive from available diagnostic codes the traumatic/non-traumatic nature of the cause of the ER visit. We then designed a case study to predict from free text clinical notes whether a given ER visit was the consequence of a traumatic or a non-traumatic event. We compared two strategies: Strategy A consisted in training the GPT-2 NLM on the training dataset (with a maximum of 161 930 samples) with all labels (trauma/non-trauma) in a single fully-supervised phase. In Strategy B, we split the training dataset in two parts, a large one of 151 930 samples without any label for the self-supervised pre-training phase and a much smaller one (up to 10 000 samples) for the supervised fine-tuning with labels. ∗corresponding author, emmanuel.lagarde@u-bordeaux.fr ar X iv :1 90 9. 01 13 6v 2 [ cs . C L ] 4 S ep 2 01 9 Neural Language Model for Automated Classification of Electronic Medical Records at the Emergency Room. The Significant Benefit of Unsupervised Generative Pre-training A PREPRINT The results showed that in Strategy A, AUC and F1 score reach 0.97 and 0.89 respectively after the processing of 40 000 samples. The use of generative pre-training (Strategy B) achieved an AUC of 0.93 and an F1-score of 0.80 after the processing of only 120 samples. The same performance was achieved with only 30 labeled samples processed 3 times (3 epochs of learning). To conclude, it is possible to easily adapt a multi-purpose NLM model such as the GPT-2 to create a powerful tool for classification of free-text notes with the need of a very small number of labeled samples.
Genetic engineering of sweetpotatoes (Ipomoea batata (L.) LAM) using isopentenyltransferase gene for enhanced drought tolerance

Nawiri SO, Oduor RO, Jalemba AM. 2017. Genetic engineering of sweet potatoes (Ipomoea batatas) using isopentenyl transferase gene for enhanced drought tolerance. Asian J Agric 1: 85-99. Approximately 70% of yield crop reduction worldwide is caused by drought. Due to severe drought which happened many times as a result of climate change, substantial yield deprivation is usual among the major cereals such as maize, wheat, and barley. Therefore, drought tolerant crops that still yield amidst erratic climatic phenomenon are greatly needed. Due to its capability to produce high yield in a short period, sweet potato is suitable for cultivation in regions with limited or erratic rain water supply where other food crops cannot grow easily. Nevertheless, its sensitivity to water deficit may lead to the adverse crop growth and yield. By conventional hybridization method, sweet potato is tried to be improved, but it gives unsatisfied results due to its high male sterility, sexual incompatibility and hexaploid nature of its genome.The aim of this study, therefore, is to develop new varieties of sweet potato with improved tolerance to water-deficit stress for sustainable production of sweet potato under water-limited conditions. Three sweet potato genotypes: Jewel, Kemb36, and Ksp36 were transformed using isopentenyl transferase gene (IPT) that delays drought-induced senescence via up-regulation of cytokinin biosynthesis, under the control of a waterdeficit responsive and maturation specific promoter (PSARK). The PNOV-IPT gene construct was introduced into sweet potato to evaluate their transformability and regenerability. It is done via Agrobacterium tumefaciens strain EHA101 and the plants subsequently regenerated via somatic embryogenesis. Jewel genotype recorded the highest transformation and regeneration frequency followed by Kemb36 and KSP36. Calli were cultured on media supplemented with various mannose concentrations to evaluate the suitability of mannose as a selectable marker for sweet potato, and it was figured out that 30 g/L concentration was optimal for selection of transformed events. At the time of PCR analysis, Jewel had the highest transformation efficiency followed by Kemb36. At the time for evaluation on drought tolerance under controlled conditions, the sweet potato showed delayed senescence and greater drought tolerance under water deficit conditions in the glasshouse. These plants exhibited better growth, higher yield, higher water status maintenance, higher chlorophyll content, and thus higher photosynthetic rates under reduced water conditions in comparison to wild-type. These results, therefore, indicated that expression of isopentenyl transferase gene in sweet potato significantly improves drought tolerance. Therefore, IPT gene should be used to transform other economically important food crops to delay drought-induced senescence and enhance drought tolerance.
(t,q) Q-systems, DAHA and quantum toroidal algebras via generalized Macdonald operators

We introduce difference operators on the space of symmetric functions which are a natural generalization of the $(q,t)$-Macdonald operators. In the $t\to\infty$ limit, they satisfy the $A_{N-1}$ quantum $Q$-system. We identify the elements in the spherical $A_{N-1}$ DAHA which are represented by these operators, as well as within the quantum toroidal algebra of $gl_1$ and the elliptic Hall algebra. We present a plethystic, or bosonic, formulation of the generating functions for the generalized Macdonald operators, which we relate to recent work of Bergeron et al. Finally we derive constant term identities for the current that allow to interpret them in terms of shuffle products. In particular we obtain in the $t\to\infty$ limit a shuffle presentation of the quantum $Q$-system relations.
Climate of the Past The climate in the Baltic Sea region during the last millennium simulated with a regional climate model

Variability and long-term climate change in the Baltic Sea region is investigated for the pre-industrial period of the last millennium. For the first time dynamical downscaling covering the complete millennium is conducted with a regional climate model in this area. As a result of changing external forcing conditions, the model simulation shows warm conditions in the first centuries followed by a gradual cooling until ca. 1700 before temperature increases in the last centuries. This long-term evolution, with a Medieval Climate Anomaly (MCA) and a Little Ice Age (LIA), is in broad agreement with proxy-based reconstructions. However, the timing of warm and cold events is not captured at all times. We show that the regional response to the global climate anomalies is to a strong degree modified by the large-scale circulation in the model. In particular, we find that a positive phase of the North Atlantic Oscillation (NAO) simulated during MCA contributes to enhancing winter temperatures and precipitation in the region while a negative NAO index in the LIA reduces them. In a second step, the regional ocean model (RCO-SCOBI) is used to investigate the impact of atmospheric changes onto the Baltic Sea for two 100 yr time slices representing the MCA and the LIA. Besides the warming of the Baltic Sea, the water becomes fresher at all levels during the MCA. This is induced by increased runoff and stronger westerly winds. Moreover, the oxygen concentrations in the deep layers are slightly reduced during the MCA. Additional sensitivity studies are conducted to investigate the impact of even higher temperatures and increased nutrient loads. The presented experiments suggest that changing nutrient loads may be more important determining oxygen depletion than changes in temperature or dynamic feedbacks.
Fe b 20 15 Online Learning with Feedback Graphs : Beyond

We study a general class of online learning problems where the feedback is specified by a graph. This class includes online prediction with expert advice and the multiarmed bandit problem, but also several learning problems where the online player does not necessarily observe his own loss. We analyze how the structure of the feedback graph controls the inherent difficulty of the induced T -round learning problem. Specifically, we show that any feedback graph belongs to one of three classes: strongly observable graphs, weakly observable graphs, and unobservable graphs. We prove that the first class induces learning problems with Θ̃(α1/2T 1/2) minimax regret, where α is the independence number of the underlying graph; the second class induces problems with Θ̃(δ1/3T 2/3) minimax regret, where δ is the domination number of a certain portion of the graph; and the third class induces problems with linear minimax regret. Our results subsume much of the previous work on learning with feedback graphs and reveal new connections to partial monitoring games. We also show how the regret is affected if the graphs are allowed to vary with time. Tel Aviv University, Tel Aviv, Israel, and Microsoft Research, Herzliya, Israel, nogaa@post.tau. ac.il. Dipartimento di Informatica, Università degli Studi di Milano, Milan, Italy, nicolo.cesabianchi@unimi.it. Parts of this work were done while the author was at Microsoft Research, Redmond. Microsoft Research, Redmond, Washington; oferd@microsoft.com. Technion—Israel Institute of Technology, Haifa, Israel, and Microsoft Research, Herzliya, Israel, tomerk@technion.ac.il. Parts of this work were done while the author was at Microsoft Research, Redmond.
The Short-Chain Fatty Acid Propionate Protects from Hypertensive Cardiovascular Damage Running

Background: Arterial hypertension and its organ sequelae show characteristics of T cell mediated inflammatory diseases. Experimental anti-inflammatory therapies have been shown to ameliorate hypertensive end-organ damage. Recently, the CANTOS study targeting interleukin1β demonstrated that anti-inflammatory therapy reduces cardiovascular risk. The gut microbiome plays pivotal role in immune homeostasis and cardiovascular health. Short-chain fatty acids (SCFA) are produced from dietary fiber by gut bacteria and affect host immune homeostasis. Here, we investigated effects of the SCFA propionate in two different mouse models of hypertensive cardiovascular damage. Methods: To investigate the effect of SCFA on hypertensive cardiac damage and atherosclerosis, wild-type NMRI (WT) or ApoE deficient mice received propionate (200mM) or control in the drinking water. To induce hypertension, WT mice were infused with Angiotensin (Ang)II (1.44mg/kg/d s.c.) for 14 days. To accelerate the development of atherosclerosis, ApoE mice were infused with AngII (0.72mg/kg/d s.c.) for 28 days. Cardiac damage and atherosclerosis were assessed using histology, echocardiography, in vivo electrophysiology, immunofluorescence, and flow cytometry. Blood pressure was measured by radiotelemetry. Regulatory T cell (Treg) depletion using PC61 antibody was used to examine the mode of action of propionate. Results: Propionate significantly attenuated cardiac hypertrophy, fibrosis, vascular dysfunction, and hypertension in both models. Susceptibility to cardiac ventricular arrhythmias was significantly reduced in propionate-treated AngII-infused WT mice. Aortic atherosclerotic lesion area was significantly decreased in propionate-treated ApoE. Systemic inflammation was mitigated by propionate treatment, quantified as a reduction in splenic effector memory T cell frequencies and splenic T helper 17 cells in both models, and a decrease in local cardiac immune cell infiltration in WT mice. Cardioprotective effects of propionate were abrogated in Tregdepleted AngII-infused mice, suggesting the effect is Treg-dependent. Conclusions: Our data emphasize an immune-modulatory role of SCFAs and their importance for cardiovascular health. The data suggest that lifestyle modifications leading to augmented SCFA production could be a beneficial non-pharmacological preventive strategy for patients with hypertensive cardiovascular disease.