Miracle-dz/UniFAR-FTUs huggingface dataset:
Chapter 2 Colloid Nanoparticles and Carbon Nanotubes . What Can We Learn About Their Biomedical Application From Molecular Dynamics Simulations ?

The behavior of a multi-walled carbon nanotube functionalized by magnetic nanoparticles through triethylene glycol chains is studied using molecular dynamics simulations. Particular attention is paid to the effect of magnetic anisotropy of nanoparticles which significantly affects the behaviour of the system under external magnetic field. The magnetization reversal process is coupled with the standard atomistic molecular dynamics equations of motion by utilizing the Neel-Brown model. The overdamped Langevin dynamics is used for the description of the inertialess magnetization displacements. The key results obtained in this study concern: an energetic profile of the system accompanying transition of a magnetic nanoparticle from the vicinity of the nanotube tip to its sidewall, the range of the magnetic anisotropy constant in which the system performs structural rearrangements, and the release dynamics of cisplatin from the interior of the nanocontainer. Another analyzed architecture uses small gold nanoparticles linked with the nanotube by hydrazone bond containing fragments. Because hydrazone bonds hydrolyze at slightly acidic pH those gold nanoparticles become chemically disconnected from the CNT at such conditions. Thus, the previously encapsulated cisplatin molecules in the CNT inner cavity can be released only at acidic pH. Analysis of the above process at the molecular scale leads to the conclusion that the feasibility of such a mechanism can be canceled by strong dispersion forces existing between gold nanoparticles and CNT. However, the presence of cisplatin in the inner cavity of the carbon nanotube strongly reduces the range of dispersion interactions. The determined properties of the studied systems strongly suggest their application in the area of nanomedicine as drug targeting and delivery nanovehicles. T. Panczyk (✉) ⋅ L. Konczak ⋅ P. Wolski Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences, ul. Niezapominajek 8, 30-239 Krakow, Poland e-mail: panczyk@vega.umcs. lublin.pl © Springer International Publishing AG 2018 L. A. Bulavin and A. V. Chalyi (eds.), Modern Problems of Molecular Physics, Springer Proceedings in Physics 197, https://doi.org/10.1007/978-3-319-61109-9_2 23
Standard process steps based on standard methods as part of the business architecture 1

Over the past five years, Statistics Netherlands has been working on an ambitious program to redesign the statistical process. The general ideas of this program are represented in a comprehensive enterprise architecture. More recently, the architecture has been complemented by a series of standard methods and standard tools that should facilitate the design of the production process. Before standard methods or tools can be readily applied in the production of statistics, the statistical processes themselves need to be standardized to a certain extent. For this purpose, a conceptual business model for processing statistical data was developed. An important concept in this model is the standard process step. Standard process steps correspond to applications of statistical functions which can be implemented as business services. Statistical functions are usually based on standard statistical methods. By identifying these standard steps and providing guidelines for their use, the model aims to close the gap between the high-level view taken in the business architecture and designing statistical processes in practice. This paper briefly discusses the model and its concepts. The model will be illustrated by applying it to the field of data-editing.
Intellectual Capital amongst Commercial Banks in Malaysia Khairunnisa

In order to maximize profits and to be more innovative, industry should not only focus on the physical capital but also on the intellectual capital. Further, intellectual capital is crucial in Malaysia’s development toward achieving Vision 2020. Hence, the aims of the study are to evaluate the intellectual capital efficiency and to examine the relationship between intellectual capital components and financial performance. Using 21 commercial banks in Malaysia in years 2008 to 2012, this study employs the Value Added Intellectual Coefficient (VAIC TM ) model and the Pooled Ordinary Least Square (POLS) estimation method. This study finds that AmBank (M) Berhad is the most efficient in utilizing its intellectual capital. Further, it is found that the intellectual capital components are positively associated with the financial performance. This study contributes towards the implementation of Malaysia’s Financial Sector Masterplan (FSMP) in enhancing banks’s operating efficiency, innovation and competition.
Correlation between myocardial ischemia-reperfusion-induced monophasic action potential amplitude change and myocardial damage

Correlation between myocardial ischemia-reperfusion-induced monophasic action potential amplitude change and myocardial damage Ying-Ying Liu, Qin Li 1. Electrocardiogram Room, the First People’s Hospital of Yibin Sichuan Province, Yibin City, Sichuan Province, 644000 2. Department of Cardiovascular Medicine, the First People’s Hospital of Yibin Sichuan Province, Yibin City, Sichuan Province, 644000 Journal of Hainan Medical University
Executable Pseudocode for Graph Algorithms

textabstract Algorithms are written in pseudocode. However the implementation of an algorithm in a conventional, imperative programming language can often be scattered over hundreds of lines of code thus obscuring its essence. This can lead to difficulties in understanding or verifying the code. Adapting or varying the original algorithm can be laborious. We present a case study showing the use of Common Lisp macros to provide an embedded, domain-specific language for graph algorithms. This allows these algorithms to be presented in Lisp in a form directly comparable to their pseudocode, allowing rapid prototyping at the algorithm level. As a proof of concept, we implement Brandes' algorithm for computing the betweenness centrality of a graph and see how our implementation compares favourably with state-of-the-art implementations in imperative programming languages, not only in terms of clarity and verisimilitude to the pseudocode, but also execution speed.
Lessons Learned through Implementation and Performance Comparison of Two MAC/RDC Protocols on Different WSN OS

Implementing new, high-performance MAC/RDC protocols on WSN/IoT motes is a complex and requiring task; to do it efficiently, one has to encounter many challenges that need to be overcome using the best trade-off between various and often contradictory objectives. A first key point is the software platform used for implementation: many specialized OSes for WSN motes are available, each one with its own set of features. What are the most important features an OS can offer when trying to implement a new protocol into its network stack? What software platform did we choose according to these requirements? A second point is the availability of development tools facilitating implementation and debugging. Emulators and simulators are such tools. They dramatically help to develop and debug WSN/IoT software. Are they also adequate for performance evaluation of MAC/RDC protocols? Finally, what is the impact of implementation choices on the performance of the final software? To what extent does optimization influence actual results during evaluation? We propose, in this report, our answers to these questions; answers we had to give while building and testing an implementation of our own MAC/RDC protocol.
Frame Interpolation Using Generative Adversarial Networks

Video frame interpolation is an elusive but coveted technology with the potential to have a far reaching impact in the video streaming service industry. In this paper, we present a novel deep learning architecture for increasing the frame rate of videos. We utilize a convolutional neural network architecture and generative adversarial networks to create a model capable of taking a pair of video frames and generating the frame in-between them. By training on a combination of the `1, MS-SSIM, and GAN losses, we are capable of generating frames that far exceed the qualitative appeal of those generated by closely related works [12], and have comparable performance on the quantitative measures of SSIM and PSNR.
A Fast PRM Planner for Car-like Vehicles

We present a probabilistic roadmap method (PRM) for Ackermann vehicles by exploring the non-holonomic constraint of the Ackermann linakge. Similar to most PRM methods, the configuration space is first sampled in order to guarantee no-collision of the vehicle. Then, the sampled states are connected using proximity and our own algorithm for modeling the non-holonomic properties of the Ackermann. Finally, a path-searching algorithm is applied to find the shortest path from the start to goal state. We show that the path planner is successful in finding the shortest path while incorporating the non-holonomic constraints, and discuss some important computational properties of this method.
ArcFuels : Forest Planning Tools for Managing Wildland Fuels

Landscape analysis of wildland fuel treatment strategies on Federally-managed lands is a complex modeling problem that has received relatively little attention. A number of vegetation and wildfire behavior models are available (e.g., FVS, FVS-FFE, SVS, FARSITE, NEXUS, BEHAVE), but integration among models and the data they require is weak. Key questions concern the response of forest landscapes to fuel treatment in terms of forest structure, composition, fire behavior, visuals, etc. We developed a library of VBA macros ("ArcFuels") within ArcMap to link and drive a number of models that are useful for analyzing fuel treatment scenarios. We applied the system to a wildland urban interface in northeastern Oregon and examined a number of long-term (60-year) treatment strategies. The treatment strategies used spatial goals and constraints to explore how different management approaches affected potential fire behavior. The library of macros facilitates the analysis and visualization of forest management scenarios.
ID 2 S Password-Authenticated Key Exchange Protocols

In two-server password-authenticated key exchange (PAKE) protocol, a client splits its password and stores two shares of its password in the two servers, respectively, and the two servers then cooperate to authenticate the client without knowing the password of the client. In case one server is compromised by an adversary, the password of the client is required to remain secure. In this paper, we present two compilers that transform any two-party PAKE protocol to a two-server PAKE protocol on the basis of the identity-based cryptography, called ID2S PAKE protocol. By the compilers, we can construct ID2S PAKE protocols which achieve implicit authentication. As long as the underlying two-party PAKE protocol and identity-based encryption or signature scheme have provable security without random oracles, the ID2S PAKE protocols constructed by the compilers can be proven to be secure without random oracles. Compared with the Katz et al.’s two-server PAKE protocol with provable security without random oracles, our ID2S PAKE protocol can save 22% to 66% computation in each server.
WHAT A WEALTH OF DATA IS WAITING TO BE EXPLOITED ! » : SOCIAL SCIENTISTS ' USE OF WORLD BANK ' S POVERTY REPORTS ON UKRAINE

For a social scientist interested in poverty in Ukraine, the World Bank would be one of the first refe­ rence points, since it is an important source of aggregate data, ranging from GDP per capita and the percentage of households below the poverty line, to the main determinants of poverty (such as age, gender, family composition, education, health, employment or geographical location). Nevertheless, while being helpful for social scientists as a starting point in their poverty research, the nature and the aim of World Bank's reports also have limitations that need to be taken into account. This paper explores the «strong» and the «weak» sides of these reports from a perspective of their potential use by social scientists. In par¬ ticular, attention is drawn to such issues as methology, data analysis and possible biases in explaining statistical results.
Decreased expression of long noncoding RNA NBAT 1 indicates a poor prognosis and promotes cell proliferation and EMT in bladder cancer

Objective: Dysregulation of long non-coding RNAs (lncRNAs) may exert critical roles in tumor progression in human. In the current research, we focused on lncRNA NBAT1 and explored its expression pattern and biological function in bladder cancer (BCa). Methods: NBAT1 expression in 79 BCa tissues was assessed through quantitative Real-time PCR (qRT-PCR) and its correlation with clinicopathological features and prognosis was later analyzed. Moreover, in vitro assays, including MTT assay, transwell migration and invasion assays, Annexin V-binding assay and Cleaved Caspase-3 ELISA assay were performed to measure the effect of NBAT1 overexpression in BCa cell lines. Protein levels of epithelial-mesenchymal transition (EMT) markers were determined by western blot. Results: NBAT1 expression was remarkably decreased in BCa tissues and cell lines, and NBAT1 levels were closely associated with tumor grade, tumor stage, and unfavorable overall survival. Besides, the results of in vitro experiments demonstrated that up-regulation of NBAT1 significantly inhibited BCa cell proliferation, migration, invasion, and promoted cell apoptosis. Overexpression of NBAT1 was observed to suppress EMT through the regulation of E-cadherin and N-cadherin expression. Conclusion: Our present study suggested that lncRNA NBAT1 might be a novel molecule involved in BCa progression, which provide a potential diagnostics or predictive biomarker and therapeutic approach.
1 PPAR α is a key regulator of hepatic FGF 21

The metabolic regulator fibroblast growth factor 21 (FGF21) has antidiabetic properties in animal models of diabetes and obesity. Using quantitative RT-PCR, we here show that the hepatic gene expression of FGF21 is regulated by the peroxisome proliferator-activated receptor alpha (PPARα). Fasting or treatment of mice with the PPARα agonist Wy-14,643 induced FGF21 mRNA by 10-fold and 8-fold respectively. In contrast, FGF21 mRNA was low in PPARα deficient mice, and fasting or treatment with Wy-14,643 did not induce FGF21. Obese ob/ob mice known to have increased PPARα levels, displayed 12-fold increased hepatic FGF21 mRNA levels. The potential importance of PPARα for FGF21 expression also in human liver was shown by Wy-14,643 induction of FGF21 mRNA in human primary hepatocytes and PPARα response elements have been identified in both the human and mouse FGF21 promoters. Further studies on the mechanisms of regulation of FGF21 by PPARα in humans is of great interest.
Finding Hamiltonian cycles in { quasi-cla w , K 1 , 5 , K 1 , 5 + e }-free graphs with bounded Dilworth numbers

Let u and v be two vertices in a graph G. We say vertex u dominates vertex v if N(v) ⊆ N(u) ∪ {u}. If u dominates v or v dominates u, then u and v are comparable. The Dilworth number of a graph G, denoted as Dil(G), is the largest number of pairwise incomparable vertices in the graph G. A graph G is called quasi-claw-free if it satisfies the property: d(x, y) = 2 ⇒ there exists u ∈ N(x) ∩ N(y) such that N[u] ⊆ N[x] ∪ N[y]. A graph is called {quasi-claw, K1,5, K1,5 + e}-free if it is quasi-claw-free and contains no induced subgraph isomorphic to K1,5 or K1,5 + e, where K1,5 + e is a graph obtained by joining a pair of nonadjacent vertices in K1,5. It is shown that if G is a k (k ≥ 2)-connected {quasi-claw, K1,5, K1,5 + e}-free graph with Dil(G) ≤ 2k − 1, then G is Hamiltonian and a Hamiltonian cycle in G can be found in polynomial time. © 2008 Elsevier B.V. All rights reserved.
Value Stream Mapping Technology Application in the Production Line Optimization

The theory of value stream has the extremely important significance to the enterprise's organization reengineering, management improvement, strategic planning and resource allocation. Value stream map not only can be used as a tool to management improvement, business planning and communication, but also can transform enterprise from traditional to lean one. This paper uses value stream map to analyze the status quo and lean improvement to the connector production line, which can effectively shorten the cycling time of production system, reduce the WIP inventory, and rebuild the manufacturing process. From these researches, production line capacity, value-added ratio and balance of the rate and artificial efficiency are improved substantially, which all can increase the enterprise market competition ability.
ENTER CLASSIFICATION ENTER CLASSIFICATION 1 . 1 HUMAN-AUTONOMY TEAMING IN A FLIGHT FOLLOWING TASK 1 . 1 . 1

• Automation Transparency: The operator must understand the automation agent’s intent and reasoning, and be able to elicit additional factors on which the agent has based a recommendation for a course of action. Operators must be able to see what the agent is doing and, ideally, predict what the agent will do next. Transparency requires operator knowledge of the general logic of how the agent works and accurate mental models of its functioning [3]. At the same time, the autonomous agent must understand (to some extent) the current preferences, attitudes and states of human operators in the team. To be truly transparent, communication should use a shared language that matches the operator's mental model.
Redefining Requirements of Infrastructure for Pervasive Computing Systems

To enable the vision of invisible computing, an infrastructure for pervasive computing systems is required. This infrastructure is successful if it meets requirements assi gned to it. Hence, it is extremely essential to correctly determineits requirements. Much research has endeavoured to figure out th ese requirements. However, it seems that the research on realis ing the potential of invisible computing is encountering with difficulties and falls far short of the expectation of the user community. We argue that the reason for this is the lack of an appropriate fundamental model of pervasive computing environments (PCEs). In this paper, we see real world computing objects (including local and global) as universal multi-modal interfaces for users and other computing objects to interact with. These objectsare universally networked interactive interfaces while the network capability becomes a trivial concern and computational processing, decision making, and data management are placed on powerful central computers. According to this view, the paper redefines the correct requirements of infrastructure for pervasive computing which must be addressed to realise the potential o f invisible computing.
More on the Gnevyshev Gap During the 11-year Solar Activity Cycle

Structured activity maxima are detected, in all the solar atmospheric layers up to the interplanetary space, during the 11-y sunspot cycles. A clear trace of a dual-peak maximum was found in past work and here is confirmed for cycle 23, remarking the relevance of the time interval between the two activity peaks (the so-called Gnevyshev Gap) for Space Mission planning. Results supporting the Gnevyshev Gap definition are derived by analysing the 27-d periodicity of Kp and Dst indices.
Some Problems and Proposed Solutions in Developing a Small Area Estimation Product for Clients

With the goal of developing a small area estimation (SAE) product for clients, several user needs were identified. The basic area level mixed linear model was taken as the starting point upon which several enhancements were built to incorporate desired features based on user needs. One of the main research contributions of this SAE product development endeavor is a generalization of Kalman Filter (KF) to two or higher dimensions (corresponding to area and outcome variables besides time) for computational feasibility and statistical efficiency under multivariate modeling. For this purpose, the area and outcome variables are ranked in some ad hoc manner for rankorder to serve as a pseudo-time variable so that the usual theory of KF can be applied. Use of KF also gives rise to a versatile set of diagnostics based on innovations which are extremely useful to overcome the masking effect present in the usual BLUP residuals. This can be serious in the case of correlated random effects. In this paper, the new SAE product of Statistics Canada termed BUPF (signifying Best Unbiased Prediction via Filtering) is briefly described. It is observed that taking on the task of developing a product (the term product is defined as a menu-driven software system customized for clients and requiring minimal statistical training) unlike a tool (requiring statistical skills to operate) can be mutually beneficial for both researchers and clients. It helps researchers to take a disciplined path with deliverables, set priorities, and receive client input and validation at early stages, while it helps clients to have an understanding and confidence about the product and to plan for data gaps and customer needs in advance. The BUPF product was successfully pilot-tested with the 2003 Labour force Survey (LFS) data for producing annual averages of monthly employment total estimates for three digit occupation codes by province. Several other applications are planned in future in light of increasing user demands.
Surgical treatment of Posterior Malleolus Fracture

Introduction: Posterior malleolus fractures are common in ankle fractures. They usually occur in association with fractures of the other malleoli, hence resulting in an unstable trimalleolar configuration. The posterior malleolus fracture most commonly occurs with the supinationexternal rotation and pronation-external rotation fracture patterns [1]. Though various attempts at classification & guidelines of treatment were made, there is no clear consensus regarding the minimum size of the fracture that requires fixation. Current trend is directed towards anatomic reduction and fracture fixation of posterior malleolar fragments. Fixation methods vary based on the size of the fragment.
Application of CAPM for investment decisions in emerging countries

The paper is focused on investment decisions of companies with a diversified shareholder base in emerging countries. We assume net present value (NPV) as an appropriate procedure for evaluating investment without significant impact on investor ́s portfolio. The NPV method is based on discounting forecasted cash flows at a discount rate that is consistent with project risk. For estimation of this rate the capital asset pricing model (CAPM) is used. In the paper the CAPM for discount rate determination is introduced. In the main part, we analyze and criticize traditional approach to treating country risk as an important part of risk premium. As a result, we propose a modification of CAPM for investment evaluation in emerging countries taking into consideration investment project ́s cash flow sensitivity to various markets and involving only the country ́s systematic risk. This modification is an improvement over the existing model for conditions prevailing in emerging countries.