Miracle-dz/UniFAR-FTUs huggingface dataset:
Antidiabetic Potential of Prosopis farcta Roots: In Vitro Pancreatic Beta Cell Protection, Enhancement of Glucose Consumption, and Bioassay-Guided Fractionation

By using the streptozotocin- (STZ-) induced cytotoxicity in β-TC3 cells as an assay model, a bioassay-guided fractionation study was employed to isolate and characterize the potential antidiabetic principles of roots of Prosopis farcta. A combination of open column chromatography on reverse-phase silica gel using a water-ethanol gradient (10 : 90 to 100 : 0) followed by HPLC-based fractionation led to an active compound that appears to be composed of carbohydrate/sugar. When cell viability under STZ was reduced to 49.8 ± 4% (mean ± SD), treatment with the active compound at the concentration of 0.5 mg/mL either as a coadministration or a pretreatment improved the viability to 93 ± 1.9% and 91.5 ± 7%, respectively. The reduction in the mitochondrial membrane potential by STZ (47.34 ± 8.9% of control) was similarly recovered to 84.5 ± 4.3 (coadministration) and 88 ± 5.5% (pretreatment) by the active fraction. The bioassay-guided fractionation, β-cell protective effect, and increased glucose consumption (up to 1.49-fold increase) in hepatocytes by the extracts and active fraction are also discussed.
Characteristics and Determinants of Livelihood Diversification of Different Household Types in Far Northwestern China

Livelihood diversification is beneficial to mitigate economic and environmental risks and to improve livelihood sustainability and regional sustainable development. Unsettled herder households (UHH), settled herder households (SHH) and farmer households (FH) are different household types in far northwestern China whose livelihood diversification has not been fully explored. By applying a framework of livelihood diversification, this paper presents a comparative analysis of the characteristics and determinants of the diversification of the three household types. The results show that livelihood assets have been unequally distributed, with FH possessing the least assets; however, FH are better than UHH and SHH in the diversification of livelihood activities. Agriculture remains the most important livelihood source. The high-income groups of the three household types have a higher number of livelihood activities but do not necessarily hold an advantage in equality of livelihood activities. Labor capacity and income are positively related to the number of livelihood activities for the three household types. Livestock size is negatively associated with the number of activities of herders. Moreover, age and subsidy have negative impacts on the number of activities for UHH. Based on the findings, we provide policy suggestions on livelihood enhancement and sustainable and effective development of pastoral regions.
Recognition Algorithm of Transient Overvoltage Characteristic Based on Symmetrical Components Estimation

The recognition of transient overvoltage characteristics is the premise of disturbance compensation of the transient overvoltage. Based on that, the recognition algorithm of transient overvoltage characteristics based on symmetrical components estimation was proposed. The generation mechanism of the transient overvoltage in gas insulated switchgear (GIS) was analyzed. Then, the transient overvoltage was measured via the capacitive sensor method. The three-phase voltage of ultra-high voltage grid was asymmetrical when the transient overvoltage appeared. At present, the asymmetrical three-phase voltage was decomposed into the superposition of a symmetrical positive-sequence component, a negative-sequence component, and a zero-sequence component via the symmetrical components estimation to build the superposition model. The model was decomposed via the trigonometric identity and the modified neural network of the least mean square learning rule was used to estimate the parameter vector of the characteristic quantity of the transient overvoltage in real time. The feasibility of the proposed algorithm was verified via comparing the simulation of the proposed algorithm and the algorithm based on dp transformation. The experimental results show that the proposed algorithm has the advantages of a small operand, high detection precision, and fast action.
The Risk Measurement of Shanghai Composite Index Based on Quantile GARCH Model

With the continuous development of economic globalization, the issue about the risk of financial derivatives have grown considerably in recent years. When a financial crisis happened in a country, the global economy was severely affected by the catastrophic result. Value at risk has been a standard method for market regulators to measure the risk of market in the future. In this paper, we refer to the conditional quantile estimation for generalized autoregressive conditional heteroscedasticity models in Xiao and Koenker (2009), which has been proved to be a powerful model to measure value at risk. By showing the descriptive statistics of the logarithm returns of Shanghai Composite Index and results of ADF test and Ljung-Box test, we ensure the quantile GARCH model could be applied to Shanghai Composite Index. We apply the quantile GARCH model in Chinese stock market, which could be represented by Shanghai Composite Index. The empirical result demonstrate that the Quantile GARCH model works well in the Chinese stock market. Our paper could offer some important suggestions about risk for investors, financial institutions and stock regulators. Keywords—Value at risk; Quantile GARCH model; Chinese stock market; Financial market; Shanghai Composite Index
Natural Hazards Climate change influence on runoff and soil losses in a rainfed basin with Mediterranean climate

The present research shows the results of possible effects of climate change on runoff and soil loss in a rainfed basin located in the Alt Penedès and Anoia region (NE Spain). Viticulture is an important economic activity in this region and vines for production of high quality wines and “cavas” are the main land use. Climate data for the period 2000-2012 and detailed soil and land use maps were used as input data for SWAT (Soil and Water Assessment Tool) to model the effects of climate change. The analysis compared simulated results for years with different climatic conditions during that period with predicted temperature and precipitation data for 2020, 2050 and 2080 based on data obtained from the HadCM3A2 (Hadley Centre Coupled Model, version 3, A2 scenario) and the trends observed in the area. The research confirmed the difficulty of predicting future soil loss in this region, which has very high inter-annual climate variability. Despite only small changes in precipitation, the model simulated a decrease in soil loss associated with a decrease in runoff, mainly driven by an increase in evapotranspiration. However, the trend in soil losses may vary when changes in precipitation balance the increase in evapotranspiration and when rainfall intensity increases. An increase in maximum rainfall intensity in spring and autumn (main rainy seasons) produced significant increases in soil loss: as high as 12% for the 2020 scenario and 57% for the 2050 scenario.
Physiology and Pharmacology of Corticothalamic Stimulation-Evoked Responses in Rat Somatosensory Thalamic Neurons In Vitro

Kao, Chang-Qing and Douglas A. Coulter. Physiology and other in vitro thalamic preparations lacking a synaptically connected neocortex, but are similar to results evident in thalamic pharmacology of corticothalamic stimulation-evoked responses neurons in response to cortical stimulation in vivo. In addition, in rat somatosensory thalamic neurons in vitro. J. Neurophysiol. the thalamocortical 3to 6-Hz frequency preference was con77: 2661–2676, 1997. Whole cell currentand voltage-clamp served, suggesting that many factors critical for this emergent recording techniques were employed in a rat thalamocortical property of the thalamocortical system are maintained in vitro. slice preparation to characterize corticothalamic stimulationevoked responses in thalamic neurons. Three types of corticothalamic stimulation-evoked responses were observed in thalamic
Acute Promeylocytic Leukemia Presenting as Fatal Intracranial Bleeding in a Rural Setting

Acute promyelocytic leukemia (APL) is a biologically and clinically distinct variant of acute myeloid leukemia (AML), and accounts for 5 to 20 percent of all AML cases. It is a highly curable hematological malignancy with targeted therapy. Patients usually present with symptoms of the complications, typically bleeding. Intracranial bleeding with APL is rarely seen at the presentation, but more common in relapsed cases. APL is a medical emergency with a high rate of early mortality, usually due to catastrophic bleeding if it is not treated timely. It is vital to start treatment once the diagnosis is suspected without waiting for definite diagnosis. We presented a 35-year-old foreign worker who presented with headache and blurring of vision for 5 days, associated with fever and multiple episodes of vomiting on the day of admission. Subsequently he developed status epilepticus and disseminated bleeding. He had raised leukocyte, low platelet, prolonged international normalized ratio and prolonged prothrombin time. His computed tomography (CT) brain revealed intracranial hemorrhage. He was intubated and was transfused one cycle of disseminated intravascular coagulation regime. He was referred to intensive care unit and neurosurgical team. Unfortunately, the patient passed away within 5 hours of hospitalization. His urgent peripheral blood film subsequently came back after he passed away and showed increased white blood cell with more than 90% of abnormal promyelocytes, Auer rods and Faggot cells, suggestive of APL. This case highlights the importance of high index of suspicion; the timely and urgent treatment, which is crucial and might prevent the catastrophic event.
OTT_A_203724 6461..6470

1Institute of Cancer Research and Basic Medical Sciences of Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, People’s Republic of China; 2Department of Ultrasonography, Cancer Hospital of University of Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, People’s Republic of China; 3Department of Ultrasonography, People’s Hospital of Quzhou Kecheng, Quzhou, Zhejiang 324000, People’s Republic of China; 4Department of Thyroid and Neck Surgery, People’s Hospital of Zhejiang Province, Hangzhou, Zhejiang 310006, People’s Republic of China
Precise Measurement of Hyperfine Structure of Cesium 7S1/2 Excited State

We present a precise measurement of the hyperfine structure of cesium 7S1/2 excited state by employing electromagnetically induced spectroscopy (EIS) with a cesium three-level cascade (6S1/2 − 6P3/2 − 7S1/2) atom in a room temperature vapor cell. A probe laser, λp = 852 nm, was coupled to a transition |6S1/2〉 → |6P3/2〉, related frequency locked to the resonance hyperfine transition of |6S1/2〉 → |6P3/2〉 with a Fabry–Perot (FP) cavity and an electro-optic modulator (EOM). A coupling laser, λc = 1470 nm, drove the |6P3/2〉 → |7S1/2〉 transition with the frequency scanned over the |6P3/2〉 → |7S1/2〉 transition line. The hyperfine level interval was extracted to be 2183.61 ± 0.50 MHz by analyzing EIS spectroscopy. The optical–optical double-resonance (OODR) spectroscopy is also presented for comparison, with the corresponding value of the hyperfine level interval being 2183.48 MHz ± 0.04 MHz, and the measured hyperfine splitting of excited 7S1/2 state is shown to be in excellent agreement with the previous work.
Examples with Engineered Antibodies

Directed molecular evolution is a powerful strategy for investigating the structure and function of proteins. When a function, such as ligand binding, can only be carried out by the native state of the protein, the biological selection for this function can be used to improve structural properties of the protein. Thus, thermodynamic stability and folding efficiency, which is the ability to avoid aggregation during folding, can be optimized. Three methods of selection are reviewed: phage display, selectively infective phages (SIP) and ribosome display, a cell-free method. Examples for optimizing antibody stability are discussed. In one case, antibodies have been generated under evolutionary pressure, which are stable in the absence of any disulfide bond, in the other case, a kink in the first strand of the beta-sandwich of kappa domains has been optimized.
RESPONSE OF BLACK CUMIN (Nigella sativa L.) PLANT FOR NATURAL SOURCES OF PHOSPHORUS AND SOME FOLIAR APPLICATION.

A field experiment was conducted at Gemmeiza Agricultural Research Station, Agric. Res. Center, El- Gharbia Governorate during two successive winter seasons (2011/2012 and 2012/2013) to study the effect of natural sources of phosphorus (Phosphorien and Rock phosphate) at three levels (50, 75 and 100 %) of the recommended dose (RD) and foliar application of Super Mex or Power Mix on some vegetative growth parameters, seed yield, fixed oil yield and chemical compositions in seeds of black cumin (Nigella sativa L.) plant. The obtained results revealed that : 1- The highest values of plant height, capsules number/plant, seeds number/capsule, capsules weight/plant, 1000-seed weight, seed yield and fixed oil yield were achieved from the treatment of 50 % (Phosphorien plus Rock phosphate) + 50 % NPK in both seasons, while 75 % (Phosphorien plus Rock phosphate) resulted in the highest plant dry weight and chemical constituents content. 2- Spraying with Super Mex (RD) + 50 % NPK resulted in the highest values of vegetative growth characters, seed yield, fixed oil of percentage, yield and chemical constituents in comparison with the foliar spray of Power Mix (RD) and the control treatments in both seasons. 3- The interaction treatment of 75 % (Phosphorien plus Rock phosphate) + Super Mex + 50 % NPK augmented values of plant height, capsules number/plant, seeds number/capsule, capsules weight/plant, 1000-seed weight, seed yield, fixed oil yield and chemical constituents in both seasons, while Phosphorien plus Rock phosphate (50 %) induced in the highest plant weight.
Bilingualism and Cognitive Development

This article tends to investigate the way bilingualism affects cognitive and linguistic performance through the life. Studies show that bilingualism influences cognitive development in early childhood and make conclusion that language and cognition are interdependent. Through this article it has been proved that when a bilingual person uses one language, the other one is active at the same time sothanks to bilingual developed ability to inhibit one language while using another, bilingual brain can have better task-switching capacities than the monolingual brain. According to the results in tasks that required mental or symbolic flexibility bilingual children did well. The physiological effect on brain base, are increased activation in the dorsolateral prefrontal cortex. Gray matterin the left interior parietal cortexequally with white matter volume، is different in bilinguals.Bilingual access newly learned words easily, and had larger gains in vocabulary. Bilingualism has positive effects against cognitive decline.
Factors Affecting Agrobacterium-mediated Transformation and Callus Induction of Sudan’s Cotton Genotypes

The objective of this study was to optimize conditions affecting transformation of insect resistance gene (cry 1Ac) into locally grown cotton cultivars (Hamid, Barakat90) using a binary Agrobacterium tumefaciens vector. The highest percentages (99.33 and 85.67%) of callus induction from hypocotyls of Hamid and Barakat90, respectively were observed in MS medium supplemented with 2 mg/L 2isopentynyl adenine (2iP) + 2 mg/ L IAA. Transformation/callus induction protocol for cotton cultivars were developed using A. tumefaciens EHA105 strain harboring the pCAMBIA 2301 vector which contains a cry 1Ac gene coding for insecticide resistance under the transcriptional control of cauliflower mosaic virus 35S promoter. Results showed that 16.1—22.3% of the co-cultivated explants were Hygromycin resistant and were considered as putative transformants. Transformation was further confirmed by GUS histochemical assay and PCR amplification of the 35S promoter, Nos terminator, Hygromycin phosphotransferase (hpt) and Kanamycin resistance (nptII) genes which were found on the inserted construct. GUS expression was observed in transformed cotton calli but never in the nontransformants (control). Also, transformed calli gave the target PCR amplicons for all of the examined genes while the untransformed tissues didn’t. Transformation percentages of 16.7 for Hamid and 11.9 for Barakat90 were reported.
Towards A Framework for E-Medicine Knowledge Management in Uganda, Nigeria and Ethiopia

This study therefore was intended to fill-in the e-medicine knowledge management gap in Africa by developing a theoretical framework that would help in harnessing utilizing and preserving emedicine using telemedicine platforms in Africa. This paper proposes a knowledge management framework to ensure Knowledge sharing and management which will go a long way in solving the problems of resource-poor settings in SSA. A qualitative research design was used, although some quantitative methods were used. Structural equation modeling was used to develop and test the new framework. Findings indicate that knowledge management practices strongly influenced the sustainable e-medicine outcomes in Ethiopia, Nigeria, and Uganda. The study did not survey many of the actual users of e-medicine; we mainly worked with doctors, nurses IT specialists and administrators. This study correlates with Uwe (2002) about the “brain gain” hypothesis that seeks to reverse the conclusion of brain drain by many scholars and deduces that through a remigration of elites with good knowledge management practices, the human capital stock will increase and so does the potential growth of the developing countries. This study also reveals that the notion of information science researchers on e-medicine emphasis on ICT;s, this study recognizes that ICT is not sufficient to ensure improvement in the well-being of the underprivileged ,rather, application of ICT should be supplemented with appropriate social protection policies which would enable the poor to actually benefit from information/knowledge. knowledge management in the health sector remains a key factor in sustainability of e-medicine. The framework presented in this paper will provide a good guiding basis for managing emedicine knowledge in developing countries.
Paper review assignment problem under the minimum cost flow network model

For the paper review assignment problem, i.e., to assign papers to proper reviewers, most of the existing algorithms regard it as an integer programming problem, which is however a class of NP -hard problem. In this paper, the paper review assignment problem is considered under the minimum cost flow network model. The running time of network simplex algorithm to solve the review assignment is no worse than O(nm(n + m)2 log(n + m)) (n:paper number, m:reviewer number). Thus the problem can be solved in strongly polynomial time. The efficiency of our proposed algorithm is demonstrated by computation results.
Sharp-selectivity in-line topology low temperature superconducting bandpass filter for superconducting quantum applications

This paper presents a new class of sharp-selectivity low-temperature superconducting filter that incorporates lumped element resonant couplings. Dependent on a novel synthesis approach, the proposed filter exhibits great advantages such as: (1) a very simple in-line topology (without any cross coupling), (2) extremely compact size based on lumped inductor-capacitor (LC) elements, and (3) multiple transmission zeros (TZs) independently generated and controlled (via each resonant coupling). To facilitate the physical implementation, a group of lumped element circuit models are detailed, where series LC units are adopted for both the resonators and the resonant couplings. Considering an in-line topology here, the entire filter layout is then designed by cascading the lumped models one after another. For verification, a 5th-order bandpass filter centered at 5 GHz, with 500 MHz bandwidth and 3 TZs, is designed, simulated, and tested at cryogenic temperature (4.2 K). Moreover, preliminary simulations of the presented filter in series with an on-chip rapid single-flux-quantum microwave pulse generator are discussed for superconducting quantum applications.
The Milky Way’s stellar streams and globular clusters do not align in a Vast Polar Structure

There is increasing evidence that a substantial fraction of Milky Way satellite galaxies align in a rotationally supported plane of satellites, a rare configuration in cosmological simulations of galaxy formation. It has been suggested that other Milky Way substructures (namely young halo globular clusters and stellar/gaseous streams) similarly tend to align with this plane, accordingly dubbed the Vast Polar Structure (VPOS). Using systemic proper motions inferred from Gaia data, we find that globular cluster orbital poles are not clustered in the VPOS direction, though the population with the highest VPOS membership fraction is the young halo clusters (∼30 per cent). We additionally provide a current census of stellar streams, including new streams discovered using the Dark Energy Survey and Gaia data sets, and find that stellar stream normals are also not clustered in the direction of the VPOS normal. We also find that, based on orbit modelling, there is a likely association between NGC 3201 and the Gjöll stellar stream and that, based on its orbital pole, NGC 4147 is likely not a Sagittarius globular cluster. That the Milky Way’s accreted globular clusters and streams do not align in the same planar configuration as its satellites suggests that the plane of satellites is either a particularly stable orbital configuration or a population of recently accreted satellites. Neither of these explanations is particularly likely in light of other recent studies, leaving the plane of satellites problem as one of the more consequential open problems in galaxy formation and cosmology.
Learning Deep Analysis Dictionaries - Part I: Unstructured Dictionaries

Inspired by the recent success of Deep Neural Networks and the recent efforts to develop multi-layer dictionary models, we propose a Deep Analysis dictionary Model (DeepAM) which is optimized to address a specific regression task known as single image super-resolution. Contrary to other multi-layer dictionary models, our architecture contains L layers of analysis dictionary and soft-thresholding operators to gradually extract high-level features and a layer of synthesis dictionary which is designed to optimize the regression task at hand. In our approach, each analysis dictionary is partitioned into two sub-dictionaries: an Information Preserving Analysis Dictionary (IPAD) and a Clustering Analysis Dictionary (CAD). The IPAD together with the corresponding soft-thresholds is designed to pass the key information from the previous layer to the next layer, while the CAD together with the corresponding soft-thresholding operator is designed to produce a sparse feature representation of its input data that facilitates discrimination of key features. Simulation results show that the proposed deep analysis dictionary model achieves comparable performance with a Deep Neural Network which has the same structure and is optimized using back-propagation.