Miracle-dz/UniFAR-FTUs huggingface dataset:
GAMES ON GAMES

Self-reflexive videogames are videogames designed to materialize critical and/or satirical perspectives on the ways in which videogames themselves are designed, played, sold, manipulated, experienced, and understood as social objects. This essay focuses on the use of virtual worlds as mediators, and in particular on the use of videogames to guide and encourage reflections on technical, interactive, and thematic conventions in videogame design and development. Structurally, it is composed of two interconnected parts: In the first part of this essay, I will discuss NECESSARY EVIL (Gualeni et al., 2013), an experimental videogame that I designed as a self-reflexive virtual artifact. With the objective of clarifying the philosophical aspirations of self-reflexive videogames – and in order to understand how those aspirations can be practically pursued – I will dissect and examine the design decisions that contributed to the qualities of NECESSARY EVIL as an example of “playable philosophy”. Taking off from the perspectives on self-reflexive videogames offered in the first part of the essay, the second half will focus on virtual worlds as viable mediators of philosophical thought more in general. In this section, I will argue that, both through the practice of game design and through the interactive experiences of virtual worlds, twenty-first century philosophers have the possibility to challenge the often-unquestioned understanding of written discourse as the only context in which philosophical thought can emerge and be developed.
WIRELESS SENSOR NETWORK, VARIOUS ISSUES AND NEED OF SECURITY-A REVIEW

This new Modern era is full of various new and promising technologies which are capable enough to change the entire world within the fraction of a second. Wireless Sensor Network is the one which is going to play the vital part in this modern scenario. This particular technology shows some great promising feature for the various sector like military as well as public. Combined with various other technology it can be sufficient to solve many problems arising day by day. But like all the other technology it lacks in some fields. In this paper we will try to review this technology as well as issues and security requirements.
Development and validation of UV spectrophotometric method for the determination of Edoxaban Tosylate Monohydrate in pharmaceutical dosage form

Research article Indexed in CAS and CABI Impact factor:0.64 Development and validation of UV spectrophotometric method for the determination of Edoxaban Tosylate Monohydrate in pharmaceutical dosage form Panchumarthy Ravisankar*, D. Srikanth, C. Venkateswara Reddy P. Raghavendra Rao, P. Srinivasa Babu Vignan Pharmacy College, Vadlamudi, Guntur, A.P, India. *Corresponding author: banuman35@gmail.com
Cubosomes: The Three- Dimensional Hexagonal Lipid Nanoparticle For Drug Delivery

The Present study is concerned with development and characterisation of nanoparticulate Cubosomes. The Cubosomes are bi-continuous stable nanoparticle of lipids with internal cubic lattice. The outer corona and inside cubic phase is stabilised by a stabilizer for drug encapsulation. The bicontinuous lipid drug carrier consists of single bi-layer of lipid membrane that forms bilateral continuous periodic membrane lattice with engineered pore size. The Cubosomes are temperature stable upon liposome’s due to their three dimens ional network and high surface area of drug loading. The recent trends and application of Cubosomes includes targeted drug delivery, bio-reactors, artificial nano-cells and biosensors.
Failure of Direct Oral Anticoagulants in Three Patients with Antiphospholipid Antibody Syndrome

Antiphospholipid antibody syndrome is a clinical condition that is characterized by recurrent venous and/or arterial thrombosis, and/or pregnancy morbidity in patients who have positive antiphospholipid antibodies. Clinicians firstly aim to prevent recurrent thrombosis by long-term anticoagulation in these patients. Warfarin is the mainstay drug that is most commonly used in thrombotic antiphospholipid antibody syndrome. It’s narrow therapeutic window requires close regular monitoring of the International Normalized Ratio (INR), which is inconvenient and costly. In the past decade direct oral anticoagulants have been characterized. Today we do not know whether direct oral anticoagulants are safe and effective in comparison with warfarin in patients with antiphospholipid antibody syndrome. We report herein three patients with failure of thrombotic prevention during treatment with rivaroxaban and dabigatran.
Correction: New Biological Books

The aim of this department is to give the reader brief indications of the character, the content, and the value of new books in the various fields of biology. In addition there will occasionally appear one longer critical review of a book of special significance. Authors and publishers of biological books should bear in mind that THE QUARTERLY REVIEW OF BIOLOGY can notice in this department only such books as come to the office of the editor. The absence of a book, therefore, from the following and subsequent lists only means that we have not received it. All material for notice in this department should be addressed to the Book Review Editor, American Institute of Biological Sciences, 2000 P Street, N.W. , Washington 6, D. C. , U. S. A.
Large-scale macromolecule classification and clustering by 2D structure bitmap image analysis

—The computational problems of exhaustive structural comparisons of large numbers of macromolecules by atomic coordinate data are discussed. Potential solutions for simpler proxy variables are explored, with non-coding RNA structures as an example. A new method of analyzing computed 2D structures by bitmap image processing is suggested. Implications for large-scale discovery, clustering and classification of macromolecular structures are discussed, with suggestions for future research.
Banking Sector Reforms in Bangladesh: Measures and Economic Outcomes

This paper discusses the reform measures of the banking system of Bangladesh along with economic outcomes of the reform measures. The paper finds that the government of Bangladesh undertook ownership reform program in 1982 to make the banking system more competitive and robust under the financial restraint framework. The banking system followed arms-length model since the 1990s by undertaking a broad based reform program in the name of FSRP. Afterwards, it undertook BRC/CBRP programs, liberalized interest rate policy, and adopted risk based capital adequacy norms, inter alia, to foster competiveness and efficiency in the banking system. However, the paper reveals that the banking sector still is not free from distortion, fragmentation and oligopolism even after the financial reform measures, as there exits high level of nominal lending rates, high nominal spreads, high non-performing loans in different clusters of banks and clout of the owners and directors. The paper concludes that creating an enable environment for a rational spread rate, introducing tailored products on both assets and liability front end proper management of NPLs along with accurate risk management device may improve financial stability in the banking system in the foreseeable future. JEL Classification: E52, G21
The Role of RNase L in Thymic Homeostasis and Humoral Responses

RNase L is highly expressed in the spleen, thymus, and multiple immune cells, suggesting that it may play an important role in the immune system against microbes. Previous studies in the lab have shown that deficiency of RNase L results in enlarged thymuses in mice at young age. However, relatively little is known about its influence on the thymic development and adaptive immunogenicity. The present Ph.D. study focuses on investigating the role of RNase L in the thymic homeostasis and humoral immune responses, thereby gaining new insights into the molecular aspects in thymocyte development, maturation and adaptive immunity. By using RNase L gene knockout mice with C57BL/6 background, we found that RNase L deficient mice displayed severe homeostatic defect in the thymus, from birth until adolescence consistently. This homeostatic defect in the thymus was reflected by the increased population of BrdU positive cells, the enhanced growth rate and proliferation capacity in response to mitogens, and the elevated expression level of the pro-survival Bcl-2 protein; while the expression of the pro-apoptotic Bax protein was suppressed. Further investigation indicated that wild type thymocytes were prone to be arrested in the G1/S phase of the cell cycle by p27Kip1. In addition, PTPH1, a protein tyrosine phosphatase, and its substrate VCP, a well-known cell cycle regulator, may be the target molecules of RNase L in preventing excessive cell proliferation by
Using Clustering Techniques to Optimize Panel Grouping for Large PV Arrays with Non-uniform Orientation and Shading Obstructions

This paper demonstrates a clustering method for grouping PVs of arbitrary orientation affected by nonuniform local shading. For a project with 44,000 PV panels cladding doubly curved roof surfaces, every panel has a unique orientation. In addition, clerestory windows cause non-uniform near-field shading. The combination of curvature and shading causes every panel to receive a different amount of irradiance at any time. The PV panel with lowest output (lowest irradiance) in a MPPT string limits the output of the whole string. The method for grouping 44,000 PV panels into 296 MPPT strings affects the total annual energy producing. The PV array grouped with clustering generated 7.7% more energy annually compared to the same array grouped in a simple grid.
Multilevel Inverter for Induction Motor Connected Photovoltaic Systems

Converters for photovoltaic (PV) systems usually consist of two stages are a dc/dc booster and a pulse width modulated (PWM) inverter. This cascade of converters presents efficiency issues, interactions between its stages, and problems with the maximum power point tracking. Therefore, only part of the produced electrical energy is utilized. In this paper, propose a single-phase H-bridge multilevel converter for PV systems governed by optimal PWM switching-angle generator. Most of the required signal processing is performed by a micro controller. The general architecture of the system and its main performance in a large spectrum of practical situations are presented and discussed. This topology features several advantages such as the independent tracking of the MPP of each string and the possibility to scale the system by plugging more strings to the existing plant. This converter topology can reach peak efficiencies up to 96%.
An OpenMTC platform-based interconnected European – South African M2M Testbed for Smart City Services

— Recent advances in device, information and communication technologies have exhibited a strong potential to enhance the quality of life of inhabitants of Smart Cities. Interconnecting different Smart Cities’ infrastructures can help in the exchange of information and experiences between developed and developing nations. However, more research work is needed to define the aspect of interworking smart services, and evaluate the benefits archiving this. In the developed and the developing world, there are common use cases where existing solutions can be reused or easily adapted. Nevertheless, there are also different use cases which may require different test environments simultaneously for efficient testing. Additionally, different environmental conditions can be used for experiment aspects. In this paper, we introduce an interconnected M2M platform testbed in the Smart City context based on the standardized M2M platform OpenMTC. Our approach aims to interconnect testbeds in Germany and South Africa, and enable resource sharing between systems. This approach is framed in the context of the TRESCIMO project. The integrated resources include sensors or devices used in the different test environments as well as applications. We present the planned experiments for the common and different use cases, which use devices located in either or both environments, with the aim of investigating possible problems arising due to delay and reliability. The experiments will consider different environmental settings to compare the considered scenarios in both developed and developing world.
The Effect of Green Contract Law in Japanese Electric Power Procurement Auctions

This paper investigates how an environmental policy disproportionately hit smaller companies by analyzing the impact of green contract law on new entrant electricity retailers in Japanese electric power procurement auctions. The endogenous switching regression model is employed to account for selection bias. The results show that green contract law lowers entrant participation in the auction by 9.9% and increases the winning bid by 1.2% once entrants enter the auction. On the other hand, the effect of green contract law on the winning bid is not statistically significant if only incumbents participate in the auction. Various other factors are also analyzed to explore the causes of the limited competition in Japanese retail electricity market.
Benefits of Integrating Cloud Computing with Internet of Things

: This paper is a theoretical approach on the mentioned topic. In this research we mainly focus on the benefits of integration and challenges associated with the same. The main goal of the interaction and cooperation between objects over the wireless networks is to fulfill the objective set for them as a combined entity. This paper mainly focuses on the integration of cloud and IoT which is called Cloud IoT paradigm and what are their usage scenarios. However,the research work lacks detailed analysis of the new CloudIoT paradigm, which involves completely new applications, benefits, challenges and research issues. The challenges or the issues include security concern and the compatibility check between the respective systems. There are many issues standing in the successful implementation of both Cloud and IoT. The integration of Cloud Computing with the IoT is the most effective way on which to overcome these issues.
Resistance Identification of New Variety Wheat to Macrosiphum avenae

From 2006 to 2010,589 parts of wheat germplasm resources were collected at home and abroad.According to national industry standard,resistance to Macrosiphum avenae(Fabficius) was identified in Linfen,the main wheat production area in Shanxi.Results showed that there were significant differences of resistance to Macrosiphum avenae(Fabficius) between these wheat varieties.Among them,27 wheat varieties(4.58%) were high resistant to Macrosiphum avenae(Fabficius) and 93 varieties(15.79%) were middle resistant,which could be used in breeding.
Striving for Adequacy: The Importance of Rich HMI Requirements

This paper discusses some of the key issues, which have severely impeded the development of good Human Machine Interfaces (HMI) for air traffic controller working positions. It describes the approach to these issues that has evolved over a number a years within the EUROCONTROL Experimental Centre and emphasises the importance of HMI Requirements as a critical element in the design life cycle. A structure for clarifying and tracing requirements, based on constraints derived from these key issues is described. It is based on 5 levels, System Functional Requirements, System Mechanisms, Computational Requirements, Human Interaction Requirements and the Specification of HMI Mechanisms. The object is to allow separation of the effects due to the operational and technical concept and the interface design and realisation. It also provides a framework that clarifies the point at which different levels of design constraint should be applied. The use of this framework is illustrated with an example, drawn from system supported inter-centre flight data notification and coordination. The paper concludes with a brief discussion on the use of the framework and issues associated with its potential for development.
Ethnobotanical Study of Medicinal Plants Used in the Treatment of Vaginal Infections in Four Towns in Cameroon

1 Laboratory of Botany and Traditional Medicine, Institut of Medical Research and Medicinal Plant Studies, Yaoundé, Cameroon 2 Laboratory of Biology and Physiology of Plant Organisms, Department of Plant Biology, University of Douala, Cameroon 3 Laboratory of Microbiology, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon 4 Laboratory Transcell Lab, Faculty of Medicine, Xavier Bichat, Paris7, Paris France
The Seakeeping Committee Final Report and Recommendations to the 24 th ITTC 1

Prof. Hiroshi Kagemoto (Chairman). University of Tokyo, Japan. Mr. Terrence Applebee (Secretary). Naval Surface Warfare Center, U.S.A. Mr. Adolfo Marón. Canal de Experiencias Hidrodinámicas de El Pardo, Spain. Mr. Paul Crossland. QinetiQ, United Kingdom. Prof. Jian-Min Yang. Shanghai Jiao Tong University, China. Dr. Jianbo Hua. SSPA Sweden AB, Sweden. Prof. Masashi Kashiwagi. Kyushu University, Japan. Mr. Jean-François Le Guen. Bassin d’Essais des Carènes, France. Professor J.A. Keuning. Technical University Delft, The Netherlands.
Automated Planning and Goal Reasoning for Autonomous Systems via Model Checking

While AI techniques have found many successful applications in autonomous systems, many of them permit behaviours that are difficult to interpret and may lead to uncertain results. We follow the “verification as planning” paradigm and propose to use model checking techniques to solve planning and goal reasoning problems for autonomous systems. We give a new formulation of Goal Task Network (GTN) that is tailored for our model checking based framework. We then provide a systematic method that models GTNs in the model checker; Process Analysis Toolkit (PAT). We present our planning and goal reasoning system as a framework called Goal Reasoning And Verification for Independent Trusted Autonomous Systems (GRAVITAS) and discuss how it helps provide trustworthy plans in a dynamic environment. Finally, we demonstrate the proposed ideas in an experiment that simulates a survey mission performed by the REMUS-100 autonomous underwater vehicle.
Ambient Noise Tomography With Common Receiver Clusters in Distributed Sensor Networks

Near-surface imaging with distributed sensor networks (DSN) is promising for planet exploration, which affordably generates a near-surface velocity model. Recently, an Eikonal tomography-based ambient noise seismic imaging (ANSI) algorithm was implemented in a DSN to realize real-time and in-situ near-surface imaging. However, only using data from neighbors to generate a velocity map cannot have enough stacking samples to generate high-quality results. Also, the neighbor range increase will result in the exponential rise of communication costs. To overcome this problem, we propose a new decentralized Eikonal tomography algorithm in the DSN. The main idea is to change the source-based algorithm to a receiver-based one, which we call common receiver decentralized Eikonal tomography (CR-TomoEK). With CR-TomoEK, nodes fully utilize signals from neighbors to generate partial velocity maps, when combined, lead to the final output. When compared with the original Eikonal algorithm, the stacking number is significantly increased, output quality is higher than before, and there is a significant reduction in communication cost. We performed experiments on both synthetic data and real data from the USArray Transportable Array. Both imaging quality and communication cost are considered in the algorithm validation. The result shows that our algorithm significantly increases the output quality while keeping the communication cost safe to generate a real-time result.
Safety, Efficacy, Pharmacokinetic and Pharmacodynamic evaluation of YF-H-2015005 for mobilizing Hematopoietic stem cells in Non-Hodgkin's Lymphoma Patients

Background: Targeting the interaction between SDF1 and CXCR4 may provide an opportunity to intervene in the hematopoietic stem cell mobilization process. Aim: The present study aimed to investigate the safety, efficacy, pharmacokinetic and pharmacodynamic profiles of YF-H-2015005, a CXCR4 antagonist, for the mobilization of hematopoietic stem cells (HSCs). Methods: A total of 15 patients with non-Hodgkin's lymphoma (NHL) eligible for autologous hematopoietic stem cell transplantation were enrolled. All patients achieved a partial or complete remission after the first- or second-line therapy. Granulocyte colony stimulating factor (G-CSF) was given in the morning for 8 consecutive days, and 0.24 mg/kg YF-H-2015005 was subcutaneously administered in the evening of the 4th day of G-CSF treatment for up to four days. Apheresis was performed 9-10 hours following each dose of YF-H-2015005. Results: YF-H-2015005 was rapidly absorbed and eliminated, with Tmax and t1/2 of 0.5 and 5.04 ± 1.00 hours, respectively. Moreover, the mean peripheral blood CD34+ cell counts were elevated by 2.0- to 2.9-fold from 2 to 24 hours, and reached the maximum level of 76.5 ± 53.9 cells/kg at 10 hours after YF-H-2015005 treatment. Fourteen (93%) out of 15 NHL patients achieved a minimum target of ≥2×106/kg CD34+ cells. Furthermore, there was no grades 3-4 treatment-related adverse event observed among these patients. Conclusion: YF-H-2015005 can serve as a safe, effective agent in combination with G-CSF for CD34+ hematopoietic progenitor cell mobilization in NHL patients.
Automated modelling procedure for acoustic Wave Based Technique models

In vehicle acoustics, the Finite Element Method (FEM) and the Statistical Energy Analysis (SEA) are widely used simulation methods. Yet, for standard vehicle frequency ranges and dimensions both methods suffer from strong limitations. Solving acoustical problems with FEM for higher frequencies f > 250Hz, like any element based method, causes high computational costs, while SEA models show poor spectral resolution and no phase information. In order to overcome these difficulties, a new method, the so-called Wave Based Technique has been established.
1st International Workshop on Artiﬁcial Intelligence for Historical Image Enrichment and Access

Cultural institutions such as galleries, libraries, archives and museums continue to make commitments to large scale digitization of collections. An ongoing challenge is how to increase discovery and access through structured data and the semantic web. In this paper we describe a method for using computer vision algorithms that automatically detect regions of “stuff”—such as the sky, water, and roads—to produce rich and accurate structured data triples for describing the content of historic photography. We apply our method to a collection of 1610 documentary photographs produced in the 1930s and 1940 by the FSA-OWI division of the U.S. federal government. Manual veriﬁcation of the extracted annotations yields an accuracy rate of 97.5%, compared to 70.7% for relations extracted from object detection and 31.5% for automatically generated captions. Our method also produces a rich set of features, providing more unique labels (1170) than either the captions (1040) or object detection (178) methods. We conclude by describing directions for a linguistically-focused ontology of region categories that can better enrich historical image data. Open source code and the extracted metadata from our corpus are made available as external resources.