Miracle-dz/UniFAR-FTUs huggingface dataset:
Environmental Chemistry IN VIVO TOXICITY OF NITROAROMATICS : A COMPREHENSIVE QUANTITATIVE STRUCTURE – ACTIVITY RELATIONSHIP STUDY

The toxicity data of 90 nitroaromatic compounds related to their 50% lethal dose concentration for rats (LD50) were analyzed to develop quantitative structure–activity relationship (QSAR) models. Quantum-chemically calculated descriptors together with molecular descriptors generated by DRAGON, PaDEL, and HiT-QSAR software were utilized to build QSAR models. Quality and validity of the models were determined by internal and external validation techniques. The results show that the toxicity of nitroaromatic compounds depends on various factors, such as the number of nitro-groups, the topological state, and the presence of certain structural fragments. The developed models based on the largest (to date) dataset of nitroaromatics in vivo toxicity showed a good predictive ability. The results provide important input that could be applied in a preliminary assessment of nitroaromatic compounds’ toxicity to mammals. Environ Toxicol Chem 2017;9999:1–7. # 2017 SETAC
Indoor Environment-Health-Comfort and Productivity

Prepare People spend in industrialized countries more than 90 % of there lives in an artificial indoor environment (home, transportation, work). This makes the indoor environment much more important for people health and comfort than the outdoor environment. In typical office buildings the cost of people is a factor 100 higher than energy costs, which make the performance of people at their work significantly more important than energy costs. The task is to optimize indoor environmental conditions for health, comfort and performance while conserving energy, since more than one third of current global energy consumption is used to maintain indoor environments. Detailed field investigations of the indoor environment in hundreds of large office buildings in many parts of the world have documented that the indoor environmental quality is typically rather mediocre, with many people dissatisfied and many suffering from sick-building syndrome symptoms. Recent studies under laboratory conditions and in the field have shown a significant influence of the indoor environment on peoples productivity. Also studies on people sick leaves show a very high loss of work time and performance, which have significant economical consequences for companies. The paper present an update on to days requirement for a healthy and comfortable environment. The paper will mainly be dealing with the indoor thermal environment and air quality. Several standards and guidelines are specifying requirements related to comfort and to health; but the productivity of people is not taken into account. Recent studies showing that comfortable room temperatures, increased ventilation above normal recommendation, reduction of indoor pollution sources and more effective ventilation increases the performance of people. The results indicate increase of productivity of 5-10 %. Also based on the laboratory studies a 10 % increase in dissatisfaction decreases the productivity with around 1 %. paper.
Developmental Dynamics from single-cell data in C . elegans

Advances in single-cell measurement techniques are revolutionizing biology. The large amounts 3 of data generated by single-cell experiments are especially exciting for addressing the challenge 4 of inferring predictive dynamic models of biology. At present, experimental techniques do not 5 allow for following single-cell gene expression patterns in time. However, published single-cell 6 measurements of gene fluorescence during development in C. elegans can be used to test 7 approaches for inferring biological dynamics from temporal single-cell data. We carried out a 8 comprehensive analysis starting from gene fluorescence measurements in differentiating single 9 cells in C. elegans embryos, and ending with a directed graph of gene interactions that predict 10 dynamic changes in gene fluorescence. 11
J un 2 01 9 A self-adjointness criterion for the Schrödinger operator with infinitely many point interactions and its application to random operators by

We prove the Schrödinger operator with infinitely many point interactions in Rd (d = 1, 2, 3) is self-adjoint if the support of the interactions is decomposed into uniformly discrete clusters. Using this fact, we prove the self-adjointness of the Schrödinger operator with point interactions on a random perturbation of a lattice or on the Poisson configuration. We also determine the spectrum of the Schrödinger operators with random point interactions of Poisson–Anderson type.
Temporal effects of final action on the performance of the Portuguese men’s volleyball teams

Summary Study aim: The purpose of this study was twofold: (i) to compare total attacks, points in the defense phase and attack efficiency between playing positions; and (ii) to identify the main predictors of overall volleyball teams’ success related to points made during the game. Material and methods: 282 sets with a total of 33 174 actions and 8 231 points were analyzed. The study included 14 teams participating in the male First Division Portuguese Championship (53 games from the 2016/2017 season and 27 from the first phase of the 2017/2018 season, for a total of 80 matches). Results: The most important parameters for the overall performance are efficacy of points in defense phase, aces, block points, and attack efficiency. Overall team performance variables statistically significantly predicted the total points of the team, F16,1091 = 39.375, p < 0.001, R2 = 0.366. Considering the comparisons between players’ performances, it was found that the setter had the lowest number of points in the defense phase and total attacks. Opposites had more total attacks and points in the defense phase than the other players (at a small-to-moderate magnitude). Conclusion: The results revealed the importance of the efficacy of points in the defense phase, namely regarding the service action, block point, and attack efficiency, to improve the possibilities of winning.
The impact of capital market on economic growth : the Nigerian Perspective

The objective of this study is to examine the impact of capital market on economic growth in Nigeria. The study adopts a time-series research design relying extensively on secondary data covering 1985 -2012. The study utilizes regression analysis as data analysis method incorporating multivariate co-integration and error correction to examine characteristics of time series data adopting disaggregate the capital market indices approach. Observation across studies on this subject is the heterogeneity in empirical findings over what may be termed a considerably uniform theoretical framework at least with regards to causality. Our finding suggests that two exhibit positive while two exhibit inverse and statistically significant relationship with economic growth. This could stimulate dialogue on the implication for policy simulation. Recommendation is that relevant regulatory agencies should focus on enhancing efficiency and transparency of market to improve investor’s confidence. Therefore the need for effective and favourable macroeconomic environment to facilitate economic growth and ensure that channels of capital market induced growth are built around effective systems; and that policy institutions are active in making systemic checks and appropriate policy innovations to ensure capital market led economic growth.
A Scalar Field Theory for Dark Matter – Dark Energy Interaction

In this thesis we study the effects of an interaction between dark matter and dark energy. To fulfil this objective, we introduce two scalar fields φ and χ, and endow them with an interaction potential V (φ, χ) = e−λφP (φ, χ), where P (φ, χ) is a polynomial. This improves on standard cosmology, which is instead based on the cosmological constant and non-interacting cold dark matter. In this model, we demonstrate that the relevant features of the present Universe are reproduced for a large range of the bare mass of the dark matter field. We also study modifications of the potential, revealing important implications of the interaction, including the possibility of transient acceleration solutions. The original work presented in this thesis closely follows Ref. [1].
Quantification with SPEI of historical Droughts and under probable climatic change in the climatological station Zacatecas , Mexico

The SPEI (Standardized Precipitation-Evapotranspiration Index) is a variant of the widespread SPI (Standardized Precipitation Index), it has greater potential as drought index since it is sensitive to climate change because it uses a more realistic measure of the water availability: the climate balance. This measure is evaluated by the difference between monthly precipitation and potential evapotranspiration. This study describes in detail the calculation of SPEI and its application to the monthly historical records of precipitation and average temperature available in the climatological station Zacatecas, located in the capital of the state of Zacatecas, Mexico. The data covers 86 years in the period from 1930 to 2015. For historical droughts, the results of SPEI indicate in light, moderate, severe and extreme droughts, the following approximate values: 32.2%, 11.5%, 5.0% and 1.3%. For this particular location, three scenarios of climatic change were proposed; the
Pattern Classification by Spiking Neural Networks Combining Self-Organized and Reward-Related Spike-Timing-Dependent Plasticity

Abstract Many recent studies have applied to spike neural networks with spike-timing-dependent plasticity (STDP) to machine learning problems. The learning abilities of dopamine-modulated STDP (DA-STDP) for reward-related synaptic plasticity have also been gathering attention. Following these studies, we hypothesize that a network structure combining self-organized STDP and reward-related DA-STDP can solve the machine learning problem of pattern classification. Therefore, we studied the ability of a network in which recurrent spiking neural networks are combined with STDP for non-supervised learning, with an output layer joined by DA-STDP for supervised learning, to perform pattern classification. We confirmed that this network could perform pattern classification using the STDP effect for emphasizing features of the input spike pattern and DA-STDP supervised learning. Therefore, our proposed spiking neural network may prove to be a useful approach for machine learning problems.
MITIGATION OF CADMIUM TOXICITY INDUCED STRESS IN WHEAT BY ACC-DEAMINASE CONTAINING PGPR ISOLATED FROM CADMIUM POLLUTED WHEAT RHIZOSPHERE

Heavy metals induced stress is a serious threat to crop productivity all over the world. Heavy metals enter the food chain through their uptake by plants and thereby affect human health. Among all the heavy metals, cadmium (Cd) is ubiquitously toxic due to its high water solubility. Cadmium can cause cancer, cardiovascular diseases and neural abnormalities in humans when taken up in the form of food. Keeping in mind the importance of wheat as widely used staple food, a hydroponic glass jar experiment was performed under axenic condition for the screening of most efficient Cd tolerant ACC deaminase containing PGPR from Cd polluted (4.3 mg kg Cd) wheat rhizosphere. Out of 20 strains, only nine strains were capable of growing at five mg L Cd level. The most efficient Cd tolerant ACC deaminase containing PGPR that significantly enhanced morphological growth attributes in wheat plants under various levels of Cd (2.5 and 5.0 mg L) were identified as Agrobacterium fabrum (CdtS5) and Stenotrophomonas maltophilia (CdtS7). The photosynthetic pigments were also enhanced significantly in wheat seedlings where Agrobacterium fabrum and Stenotrophomonas maltophilia were applied as an inocula. It is concluded that Agrobacterium fabrum and Stenotrophomonas maltophilia are ACC-deaminase containing PGPR strains which are Cd tolerant, have ability to reduce the Cd uptake by the plant and enhance the wheat growth under Cd toxicity.
Biochemistry and Molecular Physiology of Tomato and Pepper Fruit Ripening

Fruit ripening is a complex, genetically programmed process that culminates in dramatic changes in the metabolites, colour, texture, and flavour of the fruit. In the present paper, we survey recent findings in the areas of fruit chlorophyll degradation, carotenoid biosynthesis, volatiles, cell wall metabolism and central metabolism shift during tomato and pepper ripening. Moreover, the latest research on molecular aspects of the ethylene response is presented. _____________________________________________________________________________________________________________
Accounting System Considerations : CO 2 Emissions from Forests , Forest Products , and Land-Use Change A statement from Edmonton

With continuing concern about the accumulation of greenhouse gases in the earth's atmosphere, there is increasing interest in accounting for the sources and sinks of these gases and in exploring for ways to slow the atmospheric accumulation by decreasing sources or increasing sinks. Also, as interest in mitigating climate change builds, there is an increasing tendency to assign credit for providing greenhouse gas sinks and debits for greenhouse gas sources. The United Nations Framework Convention on Climate Change, for example, asks each country to provide estimates of its greenhouse gas sources and sinks and to adopt plans to stabilize or reduce its net of emissions. Increasingly this kind of accounting of credits and debits is being applied at smaller scales as, for example, various sub-national states and provinces estimate their net emissions and the US adopts a program whereby corporations, small businesses, or even individual citizens can report their emissions and emissions-reduction efforts. The international program of Joint Implementation will permit investor countries to take credit for emissions reductions achieved through sponsored programs in host countries. Pressure is building for a binding system of national emissions reductions and this will be a primary focus for an international gathering in Kyoto, Japan in December, 1997.
Heat transfer modeling and analysis of solar thermochemical reactor for hydrogen production from water

A solar thermo-chemical reactor is modeled and analyzed for the solar thermal dissociation of zinc oxide into zinc and oxygen involved in the thermo-chemical cycle for hydrogen production. The reactor consists of a cavity surrounded by a rotating insulation layer made of alumina. The granular zinc oxide particles are fed into the cavity and are directly exposed to the solar radiation entering the cavity through a quartz window. A three dimensional numerical model coupling the multiphase particle dynamics in gravitational field, multiphase heat transfer, kturbulence model, discrete ordinates radiation model, Arrhenius reaction rate model is developed. The cavity temperature and oxygen molar flow rate at the outlet of the reactor which is the indicator of the reaction rate has been validated with a 10kW reactor prototype. An energy balance study of thermal performance parameters including the various losses occurring from the reactor and efficiency is also done. The major losses were contributed by re-radiation (46%) and sensible heating of reactor components (35.5%), while the minor losses were contributed by convection by argon (1%) and conduction through insulation (2%). The thermal efficiency of the reactor is calculated to be 15.5%. © 2013 The Authors. Published by Elsevier Ltd. Selection and/or peer-review under responsibility of ISES
In silico analysis of plant phytochemicals against secreted aspartic proteinase enzyme of Candida albicans

Candida albicans, a polymorphic fungal species of human microflora is pathogenic and are known to cause immense damage to the host organism which includes biofilm formation, oral and skin infections in immune deficient individuals. Secreted aspartic proteinase (Sap) enzyme plays a major role in promoting virulence to Candida albicans and thus could be established as a drug target for Candida infections. As a result, inhibiting the enzymeâ€™s active center using phytochemicals would reduce the severity of the enzymeâ€™s virulence. The present work focuses on the in-silico analysis of about 15 plant phytochemicals against the Sap enzyme using the AutoDock 4.2. 6 software. The docking results were found to be promising with emodin having the highest binding score of -6.44 kCal/mol followed by the isoflavonoid equol with the binding score of -6.29 kCal/mol. Thus, these bioactive compounds could be used as leads for drugs targeting Sap enzymes in treating resistant Candida infections.
Using Constraints on a general Knowledge lexiCal networK for domain-speCifiC semantiC relation extraCtion and modeling

We introduce a pattern-based approach applied to the semantic relation retrieval and semantic modeling. Our method relies upon the use of a general knowledge lexical semantic network built, shaped, and handled by crowdsourcing and GWAPs (games with a purpose). Implementing constraints on semantic relations available in the network increases the efficiency of the relation extraction process but also opens a semantic modeling perspective. In terms of (mostly horizontal) relation extraction, we tested our method on radiology reports in French. Our results show the interest of using a general knowledge lexical semantic network for the domain specific textual analysis as well as the interest of implementing series of constraints on semantic relations for the relation retrieval. We recently turned to the analysis of cooking recipes that stand for examples of domain specific instructional texts. Thus, in addition to the semantic relation discovery, we are building a method for the semantic modeling and conceptualization of cooking instructions. Its first results are presented below. Today, our results are available for French but we target extending the lexical network coverage to other languages in the next few years.
Study on the Efficacy of Daikenchuto on Bowel Motility after Laparoscopic Resection of Colorectal Cancer

Introduction: Daikenchuto is considered to have actions that promote gastrointestinal motility and inhibit inflammation. We examined the efficacy of Daikenchuto on bowel motility after laparoscopic resection of colorectal cancer. Materials and Methods: The subjects were 64 patients (33 Daikenchuto, 31 non Daikenchuto group) who underwent laparoscopic resection of colorectal cancer at our department. From Day 2, Daikenchuto was administered to the Daikenchuto group at a dose of 15 g. On days 1 and 5, plain X-ray and blood sampling were performed, in addition to the application of a questionnaire survey for bowel function. The plain X-ray images were examined using Image J image analysis software to measure the gas volume in the intestine and determine the Gas Volume Score (GVS). We evaluated bowel function using the Japanese version of Gastrointestinal Symptom Rating Scale (GSRS) as a QOL score. We also examined the duration of the operation, intraoperative blood loss and initial emission of gas after the surgery, initial defecation, duration of postoperative hospitalization, inflammatory reaction, and hepatic function. Results: There were no significant differences between the Daikenchuto and the non-administration groups regarding background factors, QOL score and GVS. There were no significant differences between the two groups for other factors. Discussion: No significant difference was observed between the two groups regarding laparoscopic resection of colorectal cancer in this study. The results of this study may be due to the fact that the minimally invasive laparoscopic surgery results in a favorable postoperative course, with less bowel paralysis, compared with abdominal open surgery.
WaterTransport inUnsaturatedCrackedConcreteunderPressure

In order to analyze the process of hydraulic water infiltrating cracked concrete of underwater tunnels, the equation of water transport in unsaturated cracked concrete under pressure was proposed according to the double-porosity medium model. Penetration tests on prefabricated cracked concrete blocks were conducted, and then the influence of hydraulic pressure, initial saturation, and crack width on water transport was studied. *e results show that the larger the water pressure, the lower the initial saturation, and the wider the crack width, then the greater the penetration depth, which can be reasonably explained according to water motion theoretical models in this study. Moreover, the TOUGH2 software was used to simulate the change and distribution of saturation, driving potential, and water velocity of unsaturated cracked concrete, which further proved the experimental results and theoretical analysis. It reflects that both pressure potential and matric potential are the driving force of water transport in underwater cracked concrete, and the driving force will be converted with the change of concrete saturation. In addition, crack width is positively correlated with concrete permeability.
Analysis of organic compounds , minerals and biota : Preparation for future Mars life detection missions

Z. Martins (1), J. M. Kotler (2), S. O. L. Direito (3), M. A. Sephton (1), C. Stoker (4), B. H. Foing (3,5), P. Ehrenfreund (2,6) (1) Department of Earth Science and Engineering, Imperial College London, UK (z.martins@imperial.ac.uk; Phone: +44 20 7594 64732), (2) Leiden Institute of Chemistry, Leiden University, Leiden, the Netherlands, (3) VU University, Amsterdam The Netherlands, (4) NASA Ames, USA, (5) Science and Robotic Exploration Directorate, European Space Agency (ESA), ESTEC, Noordwik, The Netherlands, (6) Space Policy Institute, George Washington University, Washington D.C., USA.
STREAMLINING THE MODELLING TO VIRTUAL REALITY PROCESS Semi-Automating Mesh Quadrangulation and UV Unwrapping for Grasshopper

Visualisation in architecture often involves a transition between different modelling programs. This is done in order to be able to manually prepare and repair three-dimensional models for visualisations such as renders and VR simulations. In this paper the development of a direct link between a three-dimensional modelling platform and a Virtual Reality (VR) Engine is investigated. This is researched through the generation and manipulation of clean quad mesh topology, UVmapping and UV texture map creation. Through a reiterative process, all possible solutions for improved quad mesh topology for doubly curved surfaces are explored. The resulting clean quad mesh improves the usability of the model and application of textures to accurately simulate a real material. In parallel, the development of a UV unwrapping and UV map creation process was investigated to enhance the texturing process inside the same architectural modelling platform. The overall system was developed as an advanced tool for semi-automating and streamlining the process between modelling and VR simulation. The paper concludes with the limitations of the process and points out to future research to improve speed and quality as well guides to where future testing and experiments should be further investigated and applied.