Miracle-dz/UniFAR-FTUs huggingface dataset:
BIOACCUMULATION , GROWTH AND PHOTOSYNTHETIC RESPONSE OF A NEW FOUND IN BULGARIA INVASIVE SPECIES Lemna minuta AND L . valdiviana

Heavy metals can meet in the surrounding environment as natural ingredients or from agricultural, industrial and chemical industries. The study was conducted in order to trace the potential of the aquatic plant L. minuta and L. valdiviana for the bioaccumulation of Cu, Cd, and Pb from contaminated water at low levels of these elements. Each of the duckweed species was treated separately with CuSO4.5H2O, CdSO4, Pb SO4 (Valerus, Bulgaria) at 0.5 and 1 mg L-1 concentrations of for 96 hours. After conducting the experiments, relative growth rate (RGR), bioconcentration factor (BCF), tolerant index (Ti) and photosynthetic pigments of two Lemna species were studied. The solution with higher metal concentration more inhibits the growth of macrophytes. The BCF of the metals on the two species were in decreasing order: Cu > Pb > Cd. Our study showed that L. minuta and L. valdiviana at a concentration of 0.5 mg L-1 copper have better affected on the photosynthetic apparatus compared to the control. Better bioaccumulation ability was established in L. minuta compared to L. valdiviana.
Poor-Grade Aneurysmal Subarachnoid Hemorrhage: Diagnosis, Therapeutical Management, and Prognosis

Aneurysmal subarachnoid hemorrhage (aSAH) is a devastating neurological condition and these patients often have unfavorable outcomes at the long-term follow-up. Poor-grade aSAH is a severe subtype of aSAH and is defined as World Federation of Neurosurgical Surgeon (WFNS) grade IV or V. All patients should be treated by a multidisciplinary team that consists of vascular neurosurgeons, interventional neuroradiologists, neurologists, and anesthetists. Aneurysm rebleeding occurs in the poor-grade aSAH within the first 72 h after ictus. Timing of treatment for aSAH has shifted from delayed to early treatment of ruptured aneurysms, and there will be a trend toward early or ultra-early treatment for poor-grade aSAH. However, there is no consensus regarding the optimal timing of treatment for poor-grade aSAH. Endovascular coiling has provided a viable alternative to surgical clipping. An increasing number of patients have received endovascular treatment. There are limited data on high-level clinical trials focused on the treatment of poor-grade aSAH. An accurate prediction model remains challenging. Predicting long-term outcome is essential to support treatment decision-making. We reviewed the current therapeutical management and prognosis of poor-grade aSAH.
7th Meeting on Game Theory and Practice Dedicated to Energy, Environment and Natural Resources

Game models are blamed for not being able to predict the final resolutions of real conflicts in which people’s behavior might be different from what the game model assumes. However, the associated assumptions of the applied solution concepts in the model should not be neglected when interpreting the results. If players play the game in a way that a particular solution concept assumes, the resolution of the game in practice will not be different from what the model predicts. The main reason for model’s failures in prediction of the real resolution is the modelers’ failure in applying proper solution concepts to solve the game. To better reflect the human behavior in the decision making process, different solution concepts have been proposed, trying to better simulate behaviors of different types of people with different levels of foresight, risk attitude, and knowledge of others’ preferences. Such solution concepts can be applied to more accurately find the most likely resolutions of a game. In this study, some solution concepts will be applied to predict the possible resolutions of an interconnected water game between two countries. To show the value, applicability, and reliability of these solution concepts, results will be compared with results of another study which has used a different approach to find the possible resolutions of the same game.
Incorporating Autodesk Moldflow as a Tool for Promoting Engaged Student Learning

In this paper, we provide a discussion on implementation of Autodesk Moldflow Software for enhancing and promoting teaching activities and enhancing course content offered as one of mandatory courses in Manufacturing Engineering curriculum of one of the Higher Education Institution in United States. The target audience of the course is undergraduate students at junior or senior level. In the paper, implementation of Autodesk Moldflow as an instructional tool for promoting a dynamic interactive classroom environment and providing seamless integration of classroom activities such as traditional classroom teaching, computer simulation of manufacturing process, and actual physical laboratory experience related with the process. In that regard, Autodesk Moldflow is used as one of the tools that would be used for promoting positive outcomes associated with the student learning. Autodesk Moldflow is used for modeling and simulating of the plastic injection molding process. During computer simulation laboratories, specific examples of Autodesk Moldflow is introduced for providing ideas to students on how the manufacturing process would be improved by employing the tools based on computer simulation of associated process. In that regard, corresponding examples on discovering potential manufacturing problems that might arise are introduced. Role of software for providing visual aid for understanding filling, packing, and cooling stages of the manufacturing process is emphasized. In order for promoting active learning experience, and providing association between classroom teaching, physical laboratory demonstration, and computer simulation of plastic injection molding process, required references are made. Feedback obtained from the oral communication and Student Evaluation of Instruction Report indicate that suggested approach help achieving learning outcomes and promote a classroom environment conducive to engaged student learning.
Analysis on the Research Status of Sympathy Connotation and Its Measurement Methods*

With the progress of the times and social development, the requirements for talent specifications are getting higher and higher. The quality of talents has also become a hot issue of universal concern in all countries of the world. The core literacy of college students has made the education sector re-recognize the importance of talents and their evaluation. This paper aims at the sympathy in the moral quality system of college students, carries out literature review, analyzes the connotation characteristics of sympathy, determines the conceptual category for the project research, and carries out combing of the compassion measurement method, and designs and develops the measurement scale of the project to lay the foundation of theory and method. Keywords—moral quality; sympathy; psychological
Ukraine Cyber-Induced Power Outage

On December 23, 2015, a “temporary malfunction of the power supply” in three provinces in Ukraine resulted in power outages that lasted up to six hours and affected 225,000 customers. Following the event, an investigation identified evidence that several regional Ukraine power control systems had been compromised by cyber attacks. This was the first publicly documented successful cyber attack on an electric utility’s control system. Both asset owners and government officials around the world now are asking, “What happened and could a similar cyber attack happen in our control systems? ” This paper provides an analysis of the Ukraine cyber attack, including how the malicious actors gained access to the control system, what methods the malicious actors used to explore and map the control system, a detailed description of the December 23, 2015 attacks, and methods used by the malicious actors to erase their activities and make remediation more difficult. We then present a detailed description of securing utility power system control systems based on best practices, including control system network design, whitelisting techniques, monitoring and logging, and personnel education. The paper concludes with a discussion of mitigation methods and recommendations that would have protected the Ukraine control system and alerted personnel in advance of the cyber attack.
Factors Affecting Marketing Success for Construction Companies in the Housing Sector

Marketing is a critical issue to success in today’s increasingly competitive business environment. A company’s growth and success can be strongly influenced by marketing practices. The aim of this study is to investigate the critical factors affecting marketing success of construction companies in the housing sector. Within this context, a survey was carried out among 40 Turkish local construction companies that are operating in the housing sector. In this survey, top-level managers and owners of the companies were interviewed. The majority of the interviewees were the owners of these companies. The interviews were performed between January and March 2008. In the study, the survey questionnaire was administered during face-to-face interviews. The factors considered in this study were identified based on a literature review. Then, a total of six possible factors that were felt to have an effect on successful marketing for construction companies in Turkey were determined. Finally, the ranking of the critical factors has been determined by using the Simple Multi Attribute Rating Technique (SMART). Based on the results, company image and customer satisfaction were determined as highly vital factors for successful marketing in construction business.
The effects of enrichment on the physical and psychological health of two related species at the Toronto Zoo

The cumulative effects of environmental destruction have resulted in the unavoidable need for captive animal institutions that house captive animals for a multitude of reasons. Regardless of the reason for placing these species in captivity, the physical and psychological health implications of captive animals should be considered. An observational study investigating the effects of enrichment on the display of abnormal/stereotypic behaviour for both the western lowland gorilla and the ring-tailed lemur at the Toronto Zoo, was conducted. Both species had varying amounts of enrichment, which allowed for the comparison between the amount of abnormal/stereotypic behaviour being displayed and the amount of enrichment provided. In terms of psychological health, results indicated that more enrichment was beneficial for reducing the amount of abnormal/stereotypic behaviour displayed. In terms of their physical health, it seems that the amount of enrichment had very little bearing on the amount of physical illnesses displayed over a one-year period. Results indicated that although there is no optimal enrichment program, as each animal has individual needs, providing captive animals with any form of enrichment is beneficial – particularly for their psychological wellbeing. The extent to which all captive animals should be given enrichment needs further investigation, but it seems likely to assume that all captive animals should be given this consideration.
DEGENERATION AND CURVES ON K3 SURFACES

We study curves on K3 surfaces. A folklore conjecture concerning rational curves on K3 surfaces states that all K3 surfaces contain infinite number of irreducible rational curves. It is known that all K3 surfaces, except those contained in the countable union of hypersurfaces in the moduli space of K3 surfaces satisfy this property. We present a new approach for constructing curves using degenerations, and apply this technique to the above problem. In particular, we prove that there is a Zariski open dense subset in the moduli space of K3 surfaces whose members satisfy the conjecture.
Graph-Based Source Code Analysis of JavaScript Repositories

We are surrounded by more and more complex software that operate in missioncritical systems. Even small errors in these software can lead to serious consequences thatmay be too expensive to let happen. Static analysis is a proven approach for detecting mistakes in the source code early in the development cycle. Since static analysis does not compile or run the code, it can be applied at an early state of development. With static analysis it is possible to check whether the software conforms to the coding rules and requirements, and to locate potential errors. While multiple static analysis tools exist for general purpose programming languages and these are generally part of the continuous integration systems, this is not the case with JavaScript. Due to the dynamically typed nature of this language there are only a few tools available for JavaScript codebases. Also, there are currently no tools available jointly providing lower level and global static analysis, finding control flows, and providing integration points for continuous integration systems. In this thesis I design, implement and evaluate a framework extending the continuous integration workflow of large and frequently changing JavaScript repositories with configurable static analysis tools and techniques. Due to the novel approach of the framework, its users can express requirements easier and they are able to check global level requirements more efficiently.
HM-VAEs: a Deep Generative Model for Real-valued Data with Heterogeneous Marginals

In this paper, we propose a very simple but effective VAE model (HM-VAE) that can handle real-valued data with heterogeneous marginals, meaning that they have drastically distinct marginal distributions, statistical properties as well as semantics. Preliminary results show that the HM-VAE can learn distributions with heterogeneous marginal distributions, whereas the vanilla VAEs fails.
The Profit Rate in Chile: 1900-2010

The interest of this paper is to discuss the main features that characterize the accumulation regimes that have taken place during the twentieth century in Chile. Understanding that a set of institutionalized compromises and political conflicts are inherent to any capitalist society, I rely on the body of literature of Marxist political economy, which focuses on the dynamics of profitability to describe its reproductive patterns. In light of this analysis, I argue that the main institutional transformations in Chilean history are better understood. I characterize long-waves of capitalist accumulation as accumulation regimes and identify three stages: early expansion, late expansion, and crisis. Using decomposition analysis, I identify recurrent patterns in each phase and also argue that the distributional conflict is historically contingent. Moreover, I implement a novel method proposed by Shaikh (2016) to identify the utilization rate, which allows me to discuss issues of aggregate demand in the decomposition analysis more accurately. Furthermore, I also discuss the relation of the process of urbanization with technical change relying on the Okishio-Marx debate. Finally, I argue that unlike previous accumulation regimes, the neoliberal period relies on reproductive patterns of profitability that makes it highly stable. JEL Codes: B51, B52, E11
Experimental and Numerical Investigations of Steel Tension Members with Holes

This paper discusses the experimental and numerical investigations conducted on steel tension members, in order to develop appropriate material stress-strain relationship for numerical analysis, which can capture the behaviour of structural steel including the fracture. Twenty eight tensile coupons were obtained from beam sections made of two different steel grades; ASTM A992 steel and 350W steel. The test program considered flange and web coupons, both solid and perforated samples (Net area-to-gross area An/Ag ratio 0.9 to 0.5) having different diameter holes in the middle region. The experiments on solid coupons provided the engineering stress-strain relationships until fracture. These relationships were converted to true stress true strain relations up to ultimate strength. A unique material constitutive relation for post-ultimate region, which is expected to capture the behaviour of the coupons up to fracture, was derived by simulating these tests using Finite Element (FE) analyses. This material constitutive relation so derived was then used to predict the load-deformation behaviour of coupons with a hole in the middle region subjected to direct tension loading. The FE predictions for perforated tension coupons agreed well with the corresponding experimental results.
Assessment of roadkills in Hluhluwe-Imfolozi Park, KwaZulu-Natal, South Africa.

Anthropogenic land-use activities are considered to be the main contributor to current worldwide changes in natural ecosystems. South Africa is one of the countries that has been severely affected by changing land-use. The changes in land-use in South Africa are driven primarily by the need to provide food, water, and shelter to a growing human population and for economic growth. However, consequences of such actions impact biodiversity negatively with effects that lead to habitat fragmentation, loss of wildlife habitats, wildlife mortalities and species declines. One factor that contributes negatively is the increased number of roads and associated traffic. This study was conducted in Hluhluwe-Imfolozi Park (HIP), KwaZulu-Natal, South Africa, to assess roadkills on roads of the park. We conducted monthly roadkill surveys on three main roads (R618 corridor road traversing the HIP, paved road from Memorial Gate to Hilltop Resort, and an unpaved road from Memorial Gate to Isivivaneni Lookout) within HIP for a year. Furthermore, we assessed the public’s level of awareness about roadkills using questionnaire surveys. Relatively few roadkills were reported in our study when compared with other studies. The taxa that were reported as roadkills included mammals, birds, reptiles and amphibians. The R618 corridor road traversing the HIP had the highest number of roadkills, followed by the paved road then the unpaved road within park. Factors that contributed to reported roadkills were season, type of road, amount of game in the vicinity, and the distance to roadside vegetation from the road. In addition, the public showed limited awareness about roadkills occurring in HIP, but were aware of how they were expected to drive within protected area road networks. Mitigation measures such as mowing, signage, enforcement of harsh laws and introduction of fines were recommended as means that would help in the reduction of roadkills in HIP.
Gaussian Process Meta-Representations For Hierarchical Neural Network Weight Priors

Bayesian inference offers a theoretically grounded and general way to train neural networks and can potentially give calibrated uncertainty. However, it is challenging to specify a meaningful and tractable prior over the network parameters, and deal with the weight correlations in the posterior. To this end, this paper introduces two innovations: (i) a Gaussian process-based hierarchical model for the network parameters based on recently introduced unit embeddings that can flexibly encode weight structures, and (ii) inputdependent contextual variables for the weight prior that can provide convenient ways to regularize the function space being modeled by the network through the use of kernels. We show these models provide desirable test-time uncertainty estimates, demonstrate cases of modeling inductive biases for neural networks with kernels and demonstrate competitive predictive performance on an active learning benchmark.
Detecting and monitoring the progress of powdery mildew disease in squash using hyperspectral imaging and artificial neural networks

Timely disease detection can improve disease management and reduce environmental impact, as applying unnecessary chemical applications could increase the risk of pollution and reduce profit. Herein, different development stages of powdery mildew disease (asymptomatic, early, intermediate, and late stage) were monitored in a squash crop by utilizing hyperspectral imaging (380-1030 nm) in laboratory conditions (the spectral measurements were conducted seven times). Radial basis function network was used to discriminate between healthy and diseased plant and to distinguish the infection level (disease development stage). Since, spectral Vegetation Indices (VIs) have been shown to be useful for monitoring disease development stages, seventeen VIs were selected and evaluated to detect and classify healthy and powdery mildew diseased plants. The best VI that can be used for disease detection was the water index (WI) in early, intermediate and late disease development stage. High classification rates, ranging from 82% 99% for asymptomatic to late stages, were achieved in disease detection. Keyword: Disease, powdery mildew, hyperspectral, vegetation indices, classification methods, neural networks.
Sinkhorn Permutation Variational Marginal Inference

We address the problem of marginal inference for an exponential family defined over the set of permutation matrices. This problem is known to quickly become intractable as the size of the permutation increases, since its involves the computation of the permanent of a matrix, a #P-hard problem. We introduce Sinkhorn variational marginal inference as a scalable alternative, a method whose validity is ultimately justified by the so-called Sinkhorn approximation of the permanent. We demonstrate the effectiveness of our method in the problem of probabilistic identification of neurons in the worm C.elegans.
University of Birmingham Topological data analysis quantifies biological nano-structure from single molecule localization microscopy

Motivation: Localization microscopy data is represented by a set of spatial coordinates, each corresponding to a single detection, that form a point cloud. This can be analyzed either by rendering an image from these coordinates, or by analyzing the point cloud directly. Analysis of this type has focused on clustering detections into distinct groups which produces measurements such as cluster area, but has limited capacity to quantify complex molecular organization and nano-structure. Results: We present a segmentation protocol which, through the application of persistence-based clustering, is capable of probing densely packed structures which vary in scale. An increase in segmentation performance over state-of-the-art methods is demonstrated. Moreover we employ persistent homology to move beyond clustering, and quantify the topological structure within data. This provides new information about the preserved shapes formed by molecular architecture. Our methods are ﬂexible and we demonstrate this by applying them to receptor clustering in platelets, nuclear pore components, endocytic proteins and microtubule networks. Both 2D and 3D implementations are provided within RSMLM, an R package for pointillist-based analysis and batch processing of localization microscopy data. Availability
The Return of Statisfaction: A study on the Consequences for Investor Behavior

In this study I will shed new light on investors’ satisfaction levels, risk preferences and trading decisions using stock price development patterns. These patterns significantly influence investor satisfaction and behavior. By using and expanding the experiment done by Grosshans and Zeisberger (2016) I am able to find evidence of investor’s preference bias on future trading decisions. These results suggest that investors with a positive bias towards a certain company tend to make lower risk expectations. In accordance, evidence is presented in which the influence of a bias on return expectations becomes more clear. The use of reference points in combination with trading decisions clearly explains and shows presence the disposition effect. Investors not only tend to hold loser stocks for too long, but also, more moderately, if they are satisfied with a stock’s performance. Finally, early evidence of a relationship between a preference bias and the disposition effect is presented. These results add to Prospect theory, risk-taking behavior, trading decision theory, and extend the ‘traditional’ meanvariance trade-off introduced by Markowitz (1952).