Miracle-dz/UniFAR-FTUs huggingface dataset:
A New “Turn-On” Fluorescence Probe for Al3+ Detection and Application Exploring in Living Cell and Real Samples

An excess of Al3+ will lead to biological disorders and even many diseases. Therefore, detecting the levels of Al3+ in the human body has drawn great attention for health monitoring. The fluorescence method has been broadly applied because of high sensitivity, real-time detection, and intracellular imaging. In this work, a new probe with “turn-on” fluorescence based on Schiff base derivative, 3,6-imine-triphenylamine-(9-ethyl) carbazole (ITEC), has been successfully synthesized and studied. The high selectivity and sensitivity of ITEC to Al3+ were verified by fluorescence spectra and the detection limit was 2.19 nmol/L. A 1:2 stoichiometry of ITEC-Al3+ was obtained by the 1H NMR spectra and Job’s plot. Furthermore, ITEC was successfully applied to the detection of Al3+ with different concentrations in living HeLa cells. The analog experiments about nature contamination of Al3+ in cells and real samples were finished.
Criteria for deciding cost-effectiveness for expensive new anti-cancer agents

Despite advances in the treatment modalities, cervical cancers are one of the leading causes of cancer death among women. Pap smear and colposcopy are the existing screening methods and histopathology is the gold standard for diagnosis. However, these methods have been shown to be prone to reporting errors, which could be due to their subjective interpretation. Radiotherapy is the mainstay of treatment for the locally advanced stages of cervical cancers. The typical treatment regimen spans over 4 months, from the first fraction of radiation to clinical assessment of tumor response to radiotherapy. It is often noticed that due to intrinsic properties of tumors, patients with the same clinical stage and histological type respond differently to radiotherapy. Hence, there exists a need for the development of new methods for early diagnosis as well as for early prediction of tumor radioresponse. Optical spectroscopic methods have been shown to be potential alternatives for use in cancer diagnosis. In this review, we provide a brief background on the anatomy and histology of the uterine cervix and the etiology of cervical cancers; we briefly discuss the optical spectroscopic approach to cervical cancer diagnosis. A very brief discussion on radiation therapy and radiation resistance is also provided. We also share our experiences with the Raman spectroscopic methodologies in cervical cancer diagnosis as well as in the prediction of tumor radioresponse.
EFFECT OF MORIN ON MERCURY CHLORIDE INDUCED NEPHROTOXICITY

The present study was carried out to investigate the possible effect of Morin (flavonoid) on Mercury chloride induced nephrotoxicity in rats with the help of serum biochemical markers and histological studies. They clearly derived a conclusion that mercuric chloride (5mg/kg body weight dissolved in 0.9% saline) for continuous five days capable of causing nephrotoxicity, at the same time simultaneous administration of Morin (200mg/kg body weight dissolved in 0.9% saline) with mercuric chloride mimics the toxicity in Group C than post toxicity treatment of Morin (Group D).
Warnings Program Factbase Relational Queries Software Artifact Fact Extractor Grok Query Engine Identifying Symptoms

Modern automotive software systems are large, complex, and feature rich; they can contain over 100 million lines of code, comprising hundreds of features distributed across multiple electronic control units (ECUs), all operating in parallel and communicating over a CAN bus. Because they are safety-critical systems, the problem of possible Feature Interactions (FIs) must be addressed seriously; however, traditional detection approaches using dynamic analyses are unlikely to scale to the size of these systems. We are investigating an approach that detects static source-code patterns that are symptomatic of FIs. The tools report Feature-Interaction warnings, which can be investigated further by engineers to determine if they represent true FIs and if those FIs are problematic. In this paper, we present our preliminary toolchain for FI detection. First, we extract a collection of static “facts” from the source code, such as function calls, variable assignments, and messages between features. Next, we perform relational algebra transformations on this factbase to infer additional “facts” that represent more complicated design information about the code, such as potential information flows and data dependencies; then, the full collection of “facts” is matched against a curated set of patterns for FI symptoms. We present a set of five patterns for FIs in automotive software as well a case study in which we applied our tools to the Autonomoose autonomous-driving software, developed at the University of Waterloo. Our approach identified 1,444 possible FIs in this codebase, of which 10% were classified as being probable interactions worthy of further investigation.
MOOCs in the News: A European Perspective

Recent development of Massive Open Online Courses (MOOcs) commenced unprescendented interest of the general public. To leverage from attention given to MOOCs, understanding of public discourse is essential, as it can give critical insights into the important domains of biggest societal interests. Prevoius research showed the great need for understanding specifics of MOOC adoption around the world and the necessity to better cater to the needs of different markets. With this in mind, this paper presents study that looked specificially at the Europe-related MOOC discourse between 2008 and 2015. We identified important themes in the MOOC public discourse and evaluated their changes over time. Further implications of our findings are also discussed.
Protein Structure Elastic Network Models and the Positive Semidefinite Matrix Manifold

Elastic network models (ENMs) assume pairs of α-carbons of a protein structure are connected by fictitious Hookean springs. A protein structure’s potential energy is then a function of distance. If this distance is squared, the potential energy changes to a function on the positive semidefinite matrix manifold. This change is not trivial as it makes the relationship between ENMs and the rank 3 positive semidefinite (PSD) matrix manifold explicit; it suggests protein dynamics problems can be formulated as low rank semidefinite matrix manifold optimization problems. In this paper, we use normal mode analysis and elastic network interpolation to show the PSD matrix manifold is a reasonable tool for modelling protein dynamics.
What it is to be established: policy and management implications for non-native and invasive species

Management of invasive species, whether prevention, population reduction, or eradication, requires assessment of the invasive species’ population status and an assessment of the probability of success of management options. Perceptions of a species’ permanence in an environment or lack thereof frequently drives how limited time, financial, and personnel resources are allocated to such efforts. Language we use to describe a non-native species’ status largely defines these perceptions and sets boundaries, real or perceived, to potential management actions. Here we discuss the use of a particular term – “established” – when confronting management decisions for invasive species. Our objective is to contribute to bridging the gap between the realms of conceptual development and management with respect to use of the term “established”. We find that although there are benefits of polysemy and synonymy to conceptual development they present an additional challenge to managers who must weigh the costs, benefits, and potential for success of particular management actions. We also examine how existing conceptual frameworks might be augmented to bridge the theoretical-practical gap, such as more precisely defining potential management actions and explicitly including assessment of risk.
econstor Make Your Publications Visible . A Service of zbw

Spatial Mismatch: From the Hypothesis to the Theories Since the 1950s, there has been a steady decentralization of entry-level jobs towards the suburbs of American cities, while racial minorities —and particularly blacks— have remained in city centers. In this context, the spatial mismatch hypothesis argues that because the residential locations of minorities are disconnected from suburban job opportunities, lowskilled minorities residing in inner cities face adverse labor market outcomes. However, the reason why distance to jobs may be harmful to minorities has long remained unclear while the abundant but essentially empirical literature on spatial mismatch has led to much controversy. The present work presents the main stylized facts associated with spatial mismatch and reviews the main theoretical models that started to emerge in the late 1990s. JEL Classification: J15, J41, R14
Tele-MAGMaS : an Aerial-Ground Co-Manipulator System

The manipulation of large size objects by robotic systems is a challenge for applications in the field of construction industry, industrial decommissioning, and Urban Search and Rescue (USAR). These are associated to dangerous environments and thus motivate the need of devising robotic solutions for replacing human presence. Furthermore, they often require manipulation of long objects, such as pipes, bars, beams and metal frameworks, with limited access to their center of mass (CoM). Robotic object handling has been tackled using (mobile) ground manipulators (GM). The rich literature on GMs proposes solutions with single or multiple robots for, e.g., cooperative transportation of large objects [1], offshore robotic sensing and manipulation [2], or for cooperative assembly [3]. The use of GMs has two major drawbacks: first, typical small industrial manipulators have limited joint torques, resulting in poor maximal admissible Cartesian torques at the end-effector (EE) and second, GMs have a rather small workspace around their base, reducing their manipulation capabilities. These limitations can be particularly problematic for long objects if the GM cannot grasp them by their CoM, as that demands high torques at the EE and large workspace. An emerging approach is the use of aerial manipulators (AM) for construction and large load handling. This has been made possible by the recent developments in Unmanned Aerial Vehicles (UAVs) control, especially the latest progress in the field of physical interaction, see e.g., [4] for a panorama of the field. Their use has been demonstrated, in cooperative load transportation using cables [5], [6] (splitting the overall payload among members), in multi-robot assembly [7], [8], and aerial manipulation [9]–[11]. A major drawback of these platforms is their limited payload. In this paper, we present a novel class of heterogenous systems which tackles the problem of manipulating long objects
Localization of Arnold tongues of discrete dynamical systems

The work is devoted to the exposition of the method of localizing the Arnold tongues for finite-dimensional dynamical systems with a discrete time which are the sets corresponding to rationally synchronized relations between the system’s parameters. Such sets correspond to regions of parameter values for which the system has cycles of certain periods. The method allows us to obtain an approximate representation of the Arnold tongues, to study their properties in the major and minor resonances.
Reductive embeddings are Cohen-Macaulay

In this paper we prove that in positive characteristics normal embeddings of connected reductive groups are Frobenius split. As a consequence, they have rational singularities and are thus Cohen-Macaulay varieties. As an application, we study the particular case of reductive monoids, which are affine embeddings of their unit group. In particular, we show that the algebra of regular functions of a normal irreducible reductive monoid M has a good filtration for the action of the unit group of M.
Point Cloud Dataset Creation for Machine Learning on CAD Models

Recently, the application of machine learning on Computer-Aided Design (CAD) models has emerged. However, there is a lack of robust methods for the conversion of boundary representation (B-Rep) CAD models from engineering software to appropriate input representations for a machine learning algorithm. Those that do exist break the link with the B-Rep, meaning the ability to use machine learning to support future engineering operations on the B-Rep are challenging. This paper presents a method for the creation and labelling of point clouds from B-Rep CAD models for machine learning techniques, while maintaining a link between the two representations. This method allows for the creation of a dataset with additional input features determined from the CAD model such as B-Rep face labels, that could increase the accuracy of certain problems when machine learning is utilized. First, an open-source software called CloudCompare is used for point cloud creation. Fast interrogation of the CAD model using face bounding boxes are utilized to link points to their corresponding faces. This link allows for easy traversal of the CAD model topology to gain other geometric features if needed. A deficiency of the approach is that some B-Rep faces result in being under sampled. For these insufficiently sampled faces, a method is presented to re-sample them. Experiments on the approach are outlined to illustrate the efficiency of the proposed method with the approach taking approximately 10 seconds per CAD model within the tested dataset.
The Mopra Southern Galactic Plane CO Survey

Abstract We present the first results from a new carbon monoxide (CO) survey of the southern Galactic plane being conducted with the Mopra radio telescope in Australia. The 12CO, 13CO, and C18O J = 1–0 lines are being mapped over the $l = 305^{\circ }\text{--} 345^{\circ }, b = \pm 0.5^{\circ }$ portion of the fourth quadrant of the Galaxy, at 35 arcsec spatial and 0.1 km s−1 spectral resolution. The survey is being undertaken with two principal science objectives: (i) to determine where and how molecular clouds are forming in the Galaxy and (ii) to probe the connection between molecular clouds and the ‘missing’ gas inferred from gamma-ray observations. We describe the motivation for the survey, the instrumentation and observing techniques being applied, and the data reduction and analysis methodology. In this paper, we present the data from the first degree surveyed, $l = 323^{\circ } \text{--} 324^{\circ }, b = \pm 0.5^{\circ }$ . We compare the data to the previous CO survey of this region and present metrics quantifying the performance being achieved; the rms sensitivity per 0.1 km s−1 velocity channel is ~1.5 K for ${\rm ^{12}CO}$ and ~0.7 K for the other lines. We also present some results from the region surveyed, including line fluxes, column densities, molecular masses, ${\rm ^{12}CO/^{13}CO}$ line ratios, and ${\rm ^{12}CO}$ optical depths. We also examine how these quantities vary as a function of distance from the Sun when averaged over the 1 square degree survey area. Approximately 2 × 106M⊙ of molecular gas is found along the G323 sightline, with an average H2 number density of $n_{\text{H}_2} \sim 1$ cm−3 within the Solar circle. The CO data cubes will be made publicly available as they are published.
Determining Factors for Slum Growth with Predictive Data Mining Methods

Currently, more than half of the world’s population lives in cities. Out of these more than four billion people, almost one quarter live in slums or informal settlements. In order to improve living conditions and provide possible solutions for the major problems in slums (e.g., insufficient infrastructure), it is important to understand the current situation of this form of settlement and its development. There are many different models that attempt to simulate the development of slums. In this paper, we present data mining models that correlate information about the temporal development of slums with other economic, ecologic, and demographic factors in order to identify dependencies. Different learning algorithms, such as decision rules and decision trees, are used to learn descriptive models for slum development from data, and the results are evaluated with commonly used attribute evaluation methods known from data mining. The results confirm various previously made statements about slum development in a quantitative way, such as the fact that slum development is very strongly linked to the demographic development of a country. Applying the introduced classification models to the most recent data for different regions, it can be shown that the slum development in Africa is expected to be above average.
What Is All Efficiency?—A Note

In a nostalgic spurt, I reminisce about the meaning of the adjective “efficient,” in the context of a normative model, where it signified no dominance by any other choice. And how this value-neutral meaning turned into an ideological, value-laden jargon of “efficiency,” to adorn capital markets as the avatar of God. TOPIC: Portfolio theory Key Finding • What is normative and what is positive, value-neutral, and value-laden, and how efficiency got a meaning of its own.
Economic Hysteresis And The Effects Of Output Regulation

Economic hysteresis, the continuation of a phenomenon after its initial cause has disappeared, represents an alternative theoretical explanation for the fixed-asset problem. When a set of fixed assets includes quota licenses, hysteresis in license investment leads to distortions that have not been measured in the policy analysis literature. A model of economic Â“"friction"Â” tests the effect of hysteresis in Alberta dairy investment. Estimates of investment functions show that desired investment (disinvestment) must be significantly greater (less) than zero before any action is taken. Because cattle and quota are often purchased together, the relatively long periods of no change in quota holdings that result from hysteresis cause similar periods in which herds neither grow nor contract.
The Dependency Strategies of Product Design for Supply Chain Operations

This research proposed several strategies for product design to improve the efficiency of the supply chain operation. The product design is integrated by complicated relationships among processing network nodes in which products are designed; produced; shipped for customers. Supply Chains are authorized by particular self-government that enables them to build up the elasticity of the manufacturing operation and the quick response for demands. The optimal postponements of the production processes are adjusted for the customers’ demands and to match contingent states. These strategies are devised for product design and production by means of specific objectives among the suppliers. These strategies are incorporated by many different objectives of the expertise agents and flexible postponement policies in an attempt to simply supplier operations. Agents diminish the variations in demand alteration by temporal reasoning functions for suppliers’ conciliations. Several practical rules were concluded while agents take different improving strategies by applying temporal reasoning with postponement procedures for suppliers’ deviations.
Soil carbon stocks and land use change : a meta analysis

The effects of land use change on soil carbon stocks are of concern in the context of international policy agendas on greenhouse gas emissions mitigation. This paper reviews the literature for the influence of land use changes on soil C stocks and reports the results of a meta analysis of these data from 74 publications. The meta analysis indicates that soil C stocks decline after land use changes from pasture to plantation (-10%), native forest to plantation (-13%), native forest to crop (-42%), and pasture to crop (-59%). Soil C stocks increase after land use changes from native forest to pasture (+ 8%), crop to pasture (+ 19%), crop to plantation (+ 18%), and crop to secondary forest (+ 53%). Wherever one of the land use changes decreased soil C, the reverse process usually increased soil carbon and vice versa. As the quantity of available data is not large and the methodologies used are diverse, the conclusions drawn must be regarded as working hypotheses from which to design future targeted investigations that broaden the database. Within some land use changes there were, however, sufficient examples to explore the role of other factors contributing to the above conclusions. One outcome of the meta analysis, especially worthy of further investigation in the context of carbon sink strategies for greenhouse gas mitigation, is that broadleaf tree plantations placed onto prior native forest or pastures did not affect soil C stocks whereas pine plantations reduced soil C stocks by 12-15%.
Chapter 7 Hormones and Sexual Behavior of Teleost Fishes

Fishes are an excellent group for studying the mechanisms through which hormones modulate the expression of sexual behaviors in vertebrates. First, they have radiated virtually throughout all aquatic environments and this is reflected in an extraordinary diversity of mating systems and reproductive behaviors. Second, many species present a remarkable plasticity in their sexual displays, as exemplified by fishes that change sex or that adopt more than one reproductive tactic during their lifetime, and this plasticity seems to be mediated by hormones. Third, the fish neuroendocrine system is well conserved among vertebrates and the mechanisms of hormonal action in behavior are likely to share similarities with those of other vertebrates. We review the role of hormones and neuropeptides in the modulation of fish sexual displays. We also try to identify research areas in fish behavioral endocrinology that have the potential to be further developed (e.g., the role of hormones in the regulation of female sexual behavior) and some of the technological developments that promise to increase our knowledge in this field in the near future.
Grammar Cube Strategy: The Newest Alternative Media to Learn Arabic Grammar for Beginner in Indonesia

Basic Arabic grammar is divided into two categories: jumlah Ismiyah and jumlah Fi’liyah which are the most important thing to be mastered by students. However, students are not accustomed using media when learning process that makes students feel bored in learning Arabic. So, the researcher offered grammar cube in learning Arabic as an alternative media to teach students. This study was experimental research which aimed to find out the effect of using grammar cube in learning Arabic to master students’ jumlah Ismiyah and jumlah Fi’liyah at Islamic Junior High School Darul Huda Sipungguk Kampar Regency, Indonesia. This experimental research starts from design the step of learning, implementation, observation, and test. Based on the data analysis, it can be concluded that the use of grammar cube in learning Arabic effected on mastering students’ jumlahIsmiyah and jumlah Fi’liyah at Islamic Junior High School Darul Huda Sipungguk Kampar Regency, Indonesia. The result showed the score of To = 2.83 is higher than Tt on standard 1% = 2.76 and 5% = 2.04. It means Ho is rejected and Ha is accepted. So, there was a significant effect of using grammar cube on students’ jumlah Ismiyah and jumlah Fi’liyah. By conducting this research, the researcher hopes Arabic teachers can teach grammar by using this media in order to increase students’ interest in learning Arabic.