Miracle-dz/UniFAR-FTUs huggingface dataset:
Ceramic as a Potential Tool for Water Reclamation: A Concise Review

An awful consequence of technology's recent fast progress is the immense deterioration of precious and essential water resources. As water quality becomes increasingly inferior, a successful alternative treatment measure is urgently required, in addition to available traditional methods. The present review aims to draw a significant account of the water reclamation proficiency of ceramic, which substantially contributes to improving water quality. Incorporation and application of ceramics in the form of filter, macro and microfilter, hybrid and composite membrane filter, and adsorbent using filtration, adsorption, absorption and ion-exchange mechanisms has opened a new approach in the field of drinking water purification, wastewater treatment, removal of aquatic pollutants, and de-eutrophication of water. The promising effectiveness of different modified forms of ceramics in the purification and treatment of freshwater and wastewater would significantly contribute to providing organic, inorganic, and microbial hazards-free qualitatively and quantitatively improved reclaimed water to our present and forthcoming generations at a low cost without any environmental negative impacts. Due to having several significant properties, it may, therefore, be concluded that ceramic is an important natural resource that can be generated through the waste recycling process and may be used as a potential tool for water reclamation.
ScienceDirect Control Libre de Modelo basado en Modos Deslizantes Integrales para Robots Submarinos Subactuados

A combination of a model-free control law at the dynamic level and a guidance law at the kinematic level is proposed for the tracking of an underactuated underwater robot vehicle. The closed-loop system gives rise to chattering-free integral sliding modes for local exponential tracking of actuated coordinates, while ensuring a global stable internal dynamics under certain conditions easy to meet in practice. The design methodology relies on a careful manipulation of the quasi-lagrangian model of the underwater vehicle with a control law that is independent of dynamic model and its parameters assuming full access to the state. Comparative simulations versus a PID show the feasibility and robust behavior under parametric and model uncertainties.
Title Neuroprotective effects of VCP modulators in mouse models ofglaucoma

Glaucoma is a major cause of adult blindness due to gradual death of retinal ganglion cells. Currently, no therapeutics are available for the protection of these cells from the cell death. We have recently succeeded in synthesizing novel compounds, KUSs (Kyoto University Substances), which can reduce cellular ATP consumption by specifically inhibiting the ATPase activities of VCP, a major ATPase in the cell, and we have shown that KUSs could mitigate the disease progression of rd10, a mouse model of retinitis pigmentosa, without any apparent side effects. Here we show that KUSs (e.g. KUS121 and KUS187) can prevent antimycinand oligomycin-induced ATP depletion, endoplasmic reticulum (ER) Received: 9 September 2015 Revised: 4 March 2016 Accepted: 29 March 2016 Heliyon 2 (2016) e00096 http://dx.doi. org/10.1016/j.heliyon. 2016.e00096 2405-8440/© 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). stress, and cell death in neuronally differentiated PC12 cells. Furthermore, KUSs manifest significant efficacies on several mouse models of glaucoma. KUS administration prevented or mitigated ER stress and subsequent apoptotic cell death of retinal ganglion cells in an acute injury mouse model of retinal ganglion cell loss, which was induced with N-methyl-D-aspartate. In a mouse model of glaucoma with high intraocular pressure, KUSs prevented the typical glaucoma pathologies, i.e. enlargement of optic disc cupping and thinning of the retinal nerve fiber layer. KUSs also preserved visual functions in GLAST knockout mice, a mouse model for chronic retinal ganglion cell loss. We propose “ATP maintenance” via inhibition of ATPase activities of VCP as a promising new neuroprotective strategy for currently incurable eye diseases, such as glaucoma.
Don‘t get me wrong ! Negation in argumentative writing by Swedish and British students and professional writers

Negation is a means by which writers take their readers into account, anticipate their expectations and what inferences they may make, and dismiss those which are in conflict with their own. This is a pilot study comparing negation in argumentative writing in English by Swedish advanced learners, British students and professional writers in the British broadsheet press. The findings suggest that Swedish advanced learners use negation to negate interpersonal meanings (i.e. interactional and attitudinal meanings) more frequently than British students, a tendency which can be attributed to a high degree of subjective involvement generally found in Swedish advanced learners‟ essays. In comparison to the professional writers, both categories of student writers use negation less frequently to negate meanings on the content level of their texts. This can be attributed to the difference in the tenor relations which professional and student writers have to their readers.
IS-LM: An Inquest

Whether the IS-LM framework is to be vilified for its elusive, chameleonlike character or to be cherished for its flexibility remains an open question. What is not open to question is that its development and widespread adoption as the central mode of analytical expression for macroeconomists in the post-World War I1 era was linked intimately to the endeavor to give mathematical structure to Keynes’s General Theory (1936). In his book, Interpreting MK Keynes: The IS-LM Enigma (1987), one of the coauthors of this article, Warren Young, has examined the social and intellectual interactions among the principal figures involved in the creation of the IS-LM approach. The current essay has a different emphasis. Our focus here is on the tools rather than on the toolmakers. Therefore, we explore the content of the various models purporting to represent Keynes’s message below in comparative fashion, rather than the personalities who developed the models. There is surprising diversity in these early models. What places a macroeconomic model in the IS-LM tradition now seems to be its amenability to inclusion of equations that equate sav-
Energy Conscious based Multipath Routing Algorithm in WSN

Wireless Sensor Network (WSN) is a collection of sensory nodes forming a provisional network without the assistance of any recognized infrastructure. Due to the minimal range of each node's transmissions, it may be essential for one sensory node to request for the aid of other sensory node in transferring a packet between the source and sink. The important issue while designing WSN is the routing protocol that makes the best use of the severely minimal resource, especially the energy consumption. We propose a Energy Conscious multipath Routing Algorithm designed to improve the latency, resiliency and efficiency through discovering multiple routes between the source and sink. A Sink Originated Route Discovery (SORD) process provides the locality information of the source to the sink. One dominant and multiple alternate routes are generated at the end of the route discovering process. Apart from the dominant route, all the other nodes are put to sleep mode in order to conserve energy and create a concussion free route. Data is transmitted between the source and sink through the dominant route and if there is a disturbance in the existing route, the next preferred alternate route is used. If the route doesn't exist between the source and sink, the process starts from the beginning. Further, we analyze how the proposed protocol overcomes the drawback of the existing protocols. This system is implemented by using NS-2.34. By altering route update guidelines of existing on-demand routing schemes the Performance gains in the order of 10-15 % could be achieved. The simulation results show that the proposed protocol has less control packet overhead, less average energy consumption and the algorithm is faster.
Analysis of effects of spherical microphone array physical parameters using simulations

Spherical microphone arrays are used for spatial sound field analysis. Although there are commercially available products, they are not the most suitable for research due to their price and working limits of the embedded software. In those cases it is more convenient to build an own prototype in a lab. In this paper, the analysis of the effects of the physical parameters of a spherical microphone array is presented. The observed parameters are radius of the sphere, distance from the sound source and distribution of the microphone elements points over the sphere. The obtained results provide useful inputs for building a spherical microphone array for the desired applications. [Projekat Ministarstva nauke Republike Srbije, br. 36026]
Detection of thyroid hormone receptors in the olfactory system and brain of wild masu salmon, Oncorhynchus masou (Brevoort), during smolting by in vitro autoradiography

Title Detection of thyroid hormone receptors in the olfactory system and brain of wild masu salmon, Oncorhynchus masou (Brevoort), during smolting by in vitro autoradiography Author(s) Kudo, H. ; Tsuneyoshi, Y. ; Nagae, M. ; Adachi, S. ; Yamauchi, K. ; Ueda, H. ; Kawamura, H. Citation Aquaculture and Fisheries Management, 25(Supplement 2): 171-182 Issue Date 1994 Doc URL http://hdl.handle. net/2115/39718 Rights The definitive version was published by Blackwell Publishing. Type article (author version) File Information AFM1994_Kudo. pdf
Poverty Effects of Higher Food Prices: A Global Perspective

The spike in food prices between 2005 and the first half of 2008 has highlighted the vulnerabilities of poor consumers to higher prices of agricultural goods and generated calls for massive policy action. This paper provides a formal assessment of the direct and indirect impacts of higher prices on global poverty using a representative sample of 63 to 93 percent of the population of the developing world. To assess the direct effects, the paper uses domestic food consumer price data between January 2005 and December 2007--when the relative price of food rose by an average of 5.6 percent --to find that the implied increase in the extreme poverty headcount at the global level is 1.7 percentage points, with significant regional variation. To take the second-order effects into account, the paper links household survey data with a global general equilibrium model, finding that a 5.5 percent increase in agricultural prices (due to rising demand for first-generation biofuels) could raise global poverty in 2010 by 0.6 percentage points at the extreme poverty line and 0.9 percentage points at the moderate poverty line. Poverty increases at the regional level vary substantially, with nearly all of the increase in extreme poverty occurring in South Asia and Sub-Saharan Africa.
Multiple imputation for ordinal longitudinal data with monotone missing data patterns

ABSTRACT Missing data often complicate the analysis of scientific data. Multiple imputation is a general purpose technique for analysis of datasets with missing values. The approach is applicable to a variety of missing data patterns but often complicated by some restrictions like the type of variables to be imputed and the mechanism underlying the missing data. In this paper, the authors compare the performance of two multiple imputation methods, namely fully conditional specification and multivariate normal imputation in the presence of ordinal outcomes with monotone missing data patterns. Through a simulation study and an empirical example, the authors show that the two methods are indeed comparable meaning any of the two may be used when faced with scenarios, at least, as the ones presented here.
Influences of de-escalation antibiotic therapy on clinical cure rate, adverse reaction, and endotracheal intubation rate of severe pneumonia patients

Purpose: To study the effects of de-escalation antibiotic therapy on clinical cure rate, adverse reaction, and endotracheal intubation rate of severe pneumonia patients. Methods: A total of 92 severe pneumonia patients who visited doctors in our hospital from January 2015 to January 2016 were randomly selected, and they were randomly divided into observation group (n=46) and control group (n=46). Patients in control group were given escalation antibiotic therapy, whereas those in observation group were given with de-escalation antibiotic therapy. Then, clinical efficacies of the two groups were compared. Results: Clinical efficacy of patients in the observation group was significantly superior to that of control group (P<0.05). The occurrence rate of adverse reactions of patients in the observation group was significantly lower than that in the control group (P<0.05). Furthermore, both endotracheal incubation and death rates of patients in the observation group were significantly lower than those in the control group (P<0.05). Conclusion: De-escalation antibiotic therapy for severe pneumonia patients could significantly improve clinical cure rate of patients, lower endotracheal incubation rate, and effectively shorten length of stay and duration of antibiotic use. Moreover, occurrence rate of adverse reactions decreased. Thus, this therapy was safe and reliable and worthy of clinical promotion.
Term Extraction, Tagging, and Mapping Tools for Under-Resourced Languages

Although term extraction has been researched for more than 20 years, only a few studies focus on under-resourced languages. Moreover, bilingual term mapping from comparable corpora for these languages has attracted re- searchers only recently. This paper presents methods for term extraction, term tagging in documents, and bilingual term mapping from comparable corpora for four under-resourced languages: Croatian, Latvian, Lithuanian, and Romanian. Methods described in this paper are language independent as long as language specific parameter data is provided by the user and the user has access to a part of speech or a morpho-syntactic tagger.
Modeling of Bilayer Graphene Based Field Effect Transistors for Digital Electronics

Graphene is a wonder material with ultra-fast conductivity due to its zero bandgap structure with outstanding electronic properties. Monolayer graphene based transistors are suitable for analogue electronics as off-state is not required in analogue and radio frequency applications. But to make the bilayer graphene based transistors suitable for digital applications, a bandgap is required for the existence of an off-state. Also, to achieve a higher performance as compared to the rival silicon-CMOS technology, a high ION/IOFF ratio is required. The latest research on bilayer graphene is still in a theoretical and analytical phase, so we present an analytical modeling of a bilayer graphene based field effect transistor (BLGFET) for digital applications. The proposed BLGFET operates on the principle of a Klein tunneling and Klein paradox. This principle is used to develop a model of BLGFET for digital electronics with an excellent ION/IOFF ratio (greater than 106). Bilayer graphene (BLG) has two types depending on the geometry i.e. AA-stacked and AB-stacked. Both types of BLG undergo Klein tunneling and Klein paradox but at different angles. So the expressions for transmission probabilities and the ION/IOFF ratios for both types of BLGs are derived and their corresponding results are plotted using MATLAB.
GENERAL SYSTEMS THEORY THROUGH LINGUISTIC MODELLING

A brief historical background suggests that although the 'systemic or structural' description of parts of the world appears to be universal, an acceptable general systems theory has not been put forward. A scheme for empirical research is described which can be used to evaluate to what extent constituents of 'human intellectual endeavour' including a GST, fits into such a scheme. Past suggestions for GST are compared with that currently under consideration. Basic notions of the proposed GST are outlined leading to a set of concepts for this GST which can then be used for operational descriptions of either quantitative or qualitative aspects of things. These aspects are embodied in mathematical or linguistic models having a common origin in 'processed natural language', the primary model. The generalised model of purposive system is considered as the basis of production and consumption of 'product' by living things. Connection between 'conventional' and 'systems' sciences is demonstrated pointing to their application in problem solving and design. Thus, an integrated scheme of analysis and synthesis together referred to as GST dealing with scenarios labelled 'natural', 'technical', 'living' and 'social' systems has emerged.
Entanglement verification and steering when Alice and Bob cannot be trusted

Various protocols exist by which a referee can be convinced that two observers share an entangled resource. Such protocols typically specify the types of communication allowed, and the degrees of trust required, between the referee and each observer. Here it is shown that the need for any degree of trust of the observers by the referee can be completely removed via the referee using classical and quantum communication channels appropriately. In particular, trust-free verification of Bell nonlocality, EPR-steering, and entanglement, respectively, requires two classical channels, one classical and one quantum channel, and two quantum channels. These channels correspond to suitable inputs of quantum randomness by the referee, which prevent the observers from mimicking entanglement using shared classical randomness. Our results generalize recent work by Buscemi [Phys. Rev. Lett. 108, 200401 (2012)], and offer a perspective on the operational significance of that work. They also offer the possibility of simpler experimental demonstrations of the basic idea of quantum-refereed nonlocality tests.
The Development of Shallow Lakes in Different Landscapes of Vologda Region (Noth-Wethern Russia)

The unique territory as regards the diversity of landscape structure with the shallow lakes of the Vologda region located in the north-west of European Russia is review. The area was a margin of the Valdaysky Glacier, consequently the formation of the lake ecosystems are related to historical processes. The formation of water communities is connected by location of the territory at the watershed of the Caspian, Baltic and White Seas. It’s show the results of long-term (1970–2000s) investigations, that anthropogenic pressures lead to the rapid transformation of the shallow lakes ecosystems. The general trends are toward the changes of ionic composition of water, eutrophication and the toxification of lakes. The communities have exhibited a decline in biodiversity. The changes of the communities diverse are connected with disappearance of some species as unique whitefish’s populations and invasions of others. It is concluded that the ways of regulation of the community according to the «trophical cascade» hypothesis determine the rate of structural changes in the communities. The main reasons of the deterioration of the abiotic conditions and the changes of the trophic level structure were analyzed. The problem of preservation biodiversity, the conservation habitat and of lake ecosystems and their drainage areas due to including in protected area network are discussed.
Research on Order Financing System Dynamics in the Chain Finance Model

Supply chain finance is an efficient method to solve SME’s financing problem. A core issue is to simulate the supply chain finance system’s real operations. Especially small and medium-sized enterprise financing and development are difficult, so that the supply chain financial innovation is imminent. To solve the problem of shortage of funds for the development of enterprises, the most effective way is to have a good financial way. With the rapid development of the global supply chain finance, order financing emerges as the times require, but in our country, the research is under studying. This paper will use the method of system dynamics, base on the small and medium-sized enterprise order financing, building order financing system system dynamics model and simulation in Vensim ple, to explore the effect of order financing mode on the benefit of small and medium sized enterprises and supply chain.
Developing an Inventory to Measure Anger in Mexican Children

Based on the state-trait model of anger (Spielberger, 1988, 1999), the aim was to develop a reliable and valid inventory to measure anger in Mexican children. Exploratory factor analyses on responses from 592 children (302 boys, 290 girls) (M=10.35 years old, SD=1.14) revealed four factors suggesting construct validity: 6-item state anger (e.g., I am upset), 5-item trait-temperament (e.g., I get mad easily), 7-item angerout (e.g., I fight with whoever made me mad), and 12-item anger control (e.g., I try to relax). Alpha reliabilities were . 76, . 76, . 73, and . 88, respectively. Anger control correlated negatively with other factors, whereas other factors correlated positively with each other. The inventory also had concurrent validity with an instrument that measured physical aggression.
Influence of subcellular metal compartmentalization in different prey on the transfer of metals to a predatory gastropod

Marine snails Thais clavigera accumulate high metal concentrations in their bodies and trophic transfer may play an important role in metal bioaccumulation in this top predator in the inter- tidal rocky shore. In this study, we examined the relationship between the subcellular metal distrib- ution in prey (barnacles, mussels, oysters, herbivorous snails, limpets) and the assimilation efficiency (AE) of cadmium, silver and zinc in T. clavigera. The metal subcellular distributions in the oyster prey were also modified and the metal AEs in T. clavigera measured. We further purified the subcellular fractions of different prey and determined how the biochemical properties of different fractions affected the metal AEs. Results showed that the AEs of each metal from different prey were compa- rable and generally high (50 to 90%). Significant positive correlation was found between the Cd AEs and the metallothionein-like protein (MTLP) fraction, and between the AEs of Zn and the trophically available metal (TAM) fraction. For Ag, no relationship between its AE and any of the subcellular fractions was documented. When T. clavigera fed on oysters with different exposure regimes, the metal AEs were not significantly correlated with the metal subcellular partitioning in the oysters. Fur- thermore, the AEs of Ag, Cd and Zn were similar among the different biochemical fractions. For these 3 metals, T. clavigera assimilated 60 to 85% from the insoluble fraction, 40 to 80% from the heat- sensitive protein fraction, 45 to 90% from the MTLP fraction, and 40 to 80% from the metal-rich gran- ule (MRG) fraction. Our results imply that metals bound to the insoluble fraction or MRG were also bioavailable to T. clavigera. This study may help to better understand the mechanisms of metal transfer along the intertidal food chain.