Miracle-dz/UniFAR-FTUs huggingface dataset:
EXTENSION OF PACMAD MODEL FOR USABILITY EVALUATION METRICS USING GOAL QUESTION METRICS (GQM) APPROACH

Usability measurement is tedious work, particularly for current smart mobile devices. With an increasing capacity for greater user interactivity through a range of tasks and in a variety of contexts during time, the importance and impact of mobile device context-of-use components is of particular interest to researchers. PACMAD was introduced as comprehensive usability model for mobile applications to evaluate usability based on usability factor; user, context of use, and task. PACMAD model identified the usability attributes without considering related low level metrics which represents each attribute. Thus, there is a need to be extended to include relative low level metrics in addition to usability attributes. This motivates us to performed comprehensive literature revise to collect studies that evaluate mobile applications in order to find validated usability evaluation metrics based on PACMAD model attributes by applying Goal Question Metrics (GQM).
Genepin-Cross-Linked Elastin-Like Polypeptide Hydrogels for the Repair of Osteochondral Defects

INTRODUCTION Articular cartilage is a highly specialized tissue, which plays an important role in contributing to the load support and cushioning of joints during movement. Healthy cartilage is largely avascular and alymphatic, consisting primarily of low-density chondrocytes that secrete a rich extracellular matrix (ECM) composed of collagen and proteoglycans. Fractures in the articular cartilage resulting in osteochondral defects (OCD) may arise through trauma or congenital and metabolic diseases, often heralding the early onset of degenerative joint disease or osteoarthritis. Spontaneous healing can occur, however it is generally in the form of fibrocartilage that is in itself unstable and prone to degradation. While the options for treatment of articular cartilage defects have previously been limited to transplantation of the periosteum and perichondrium or osteochondral autografting, the development of new tissue engineering strategies involving the use of autologous cells and smart biomaterials hold promise for the restoration of natural biomechanical and physiological properties in previously damaged tissue. Elastin is an insoluble, polymeric ECM protein that is synthesized as a soluble tropoelastin precursor and is highly expressed in elastomeric tissues including the arteries, lungs, ligaments and skin. Tropoelastin is composed of a unique alternating hydrophobic and crosslinking domain structure which allows for the self-aggregation and coacervation of the individual tropoelastin subunits into ordered filamentous structures. Interestingly, fragments of insoluble elastin (α-elastin) or synthetic elastin-like peptides (ELPs) containing the alternating hydrophobic and cross-linking domains are also capable of undergoing self-assembly, allowing for their potential future use as a biomaterial for many biomedical and tissue engineering applications. Distinct ELPs have been created on the basis of repeated units corresponding to exons 20, 21, 23, and 24, each of which display a characteristic set of physiological and biomechanical properties when cross-linked to form a biomaterial. [1] It was hypothesized that a preformed, genipin-crosslinked material composed of one of these ELPs, designated EP4, can function as a scaffold to promote the repair of fullthickness osteochondral defects. This study was designed to determine the early biocompatibility of this ELP-based material in a rabbit model of a femoral condyle OCD lesion.
FRAGMENTS IN MAMMALIAN CELLS

PCT International Search Report, PCT/NL02/00841, dated Aug. 20, 2003. PCT International Preliminary Examination Report, PCT/NL02/ 00841 dated Apr. 14, 2004. Leung et al., Abstract, The effects of domain deletion, glycosylation, and long IgG3 hinge on the biodistribution and serum stability prop erties of a humanized IgG1 immunoglobulin, hLL2, and its frag ments, Clin Cancer Res., Oct. 1999, pp. 31.06s-3117s, Suppl. 10. Boshartet al., Abstract, Avery strong enhancer is located upstream of an immediate early gene of human cytomegalovirus, Cell, Jun. 1985, pp. 521-530, vol. 2. Fallaux et al., Abstract, New helper cells and matched early region 1-deleted adenovirus vectors prevent generation of replication-com petent adenoviruses, Hum Gene Ther. Sep. 1998, pp. 1909-1917. vol. 9, No. 13.
Azilsartan causing metabolic encephalopathy

Anujith G. Sekhar1, Ajit Singh2, Sheetal Chauhan3, Kanav Khera1*, Tom Devasia2 1Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, India. 2Department of Cardiology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India. 3Department of Pharmacology, Melaka Manipal Medical College, Manipal Academy of Higher Education, Manipal, India.
Research on Haptic Display of Rigid Body Simulation for Digital Mock-Up

近年,CAD/CAMの発達によりデジタルモックアップ の活用が増えている. 特に組み立て(分解)検討は不 具合発見時の出戻りの影響を小さくすることができ,開 発期間の短縮が期待される. 組み立て作業は複数の部品が集まるアセンブリを対象 とするため,組み立て順序によっては部品同士が干渉し あい組み立てが出来ないことがある. 従って試行錯誤的 な検討作業となるため,インタラクティブに組み立て検 討できるシステムの実現が望まれる. こうしたシステム では,操作空間が3次元であるため部品の動きを既存のマ ウス等の装置で行うことは難しく,人が部品を手で持ち, 運ぶような直感的操作で部品を動かすデバイスが必要で ある. 更に,力覚装置を用いて拘束感を提示できれば作 業効率を向上させることができる. 人がシステムに介在し,インタラクティブな操作を行 うためには,応答の遅れは違和感を与え操作性の低下に つながる. このため実時間で衝突判定,接触箇所特定を 行う必要があるが,従来の衝突判定法では一般的な形状 に対して,前処理なしで実時間処理を行うことは難しい. 最短距離計算手法は,凸形状の性質を利用した物体間 距離により判定するため,接触箇所を容易に求めること は出来るが,非凸形状に関して凸形状に分解する必要が ある. 形状の幾何交差を利用して物体間の体積干渉有無 を判定する方法は形状に依存されることはないが,接 触箇所を実時間処理で求めることが難しい. また,物体間の干渉排除(侵入解除),反力計算(拘束 感提示)も操作性に影響を与える. 実装が容易で処理量 が少ないペナルティ法 は物体間干渉を許して反力を 計算する。 神徳らは,はめ合いにおいて、一方の接触 点での干渉により実質的な穴の径が膨らみ,他方の接触 点で発生するべき接触が見落とされ、現実では不可能な はめ合いが可能になることを指摘しており,組み立て作 業への適用は難しい. そのため現実に即した物体操作実 現,つまり物体同士が干渉することなく拘束感を提示 する必要がある. 足立らは干渉することなくインタラ クティブな拘束感提示を可能とした. しかし多点接触を 複数回の1点接触に分けて取り扱うため,両側拘束が働 くケースを想定していない. 1点接触は片側拘束となり 1方向のみの運動を制限するが,両側拘束は両方向の運 動制限であり,当然,多点接触でないと記述できない. 組み立て作業中,はめ合いのような両側拘束となるケー スがあるため,多点接触を考慮する必要があると考える。 本研究では力覚装置デバイスを用いた組み立て検討作 業を想定する. そしてインタラクティブで干渉なく拘束 感を提示可能なシミュレーション技術を実現するため, 1 幾何交差と最短距離を利用した衝突判定法 2 物体の非侵入性を保証した多点接触の拘束感提示 を提案する.
Operculum Movement and Microanatomy Skin Structure of Periophthalmodon Schlosseri in Estuary of Barito River

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Interconnect Adapter State Migration for Virtual HPC Clusters

Live migration of virtual machines is considered as one of the most powerful tools available in the context of machine virtualization. Specifically in data centers, it can enable higher fault tolerance through fail-over semantics and better load-balancing within a cluster. High performance computing infrastructure as a service (HPC IaaS) has gained substantial momentum in the recent past, as it promises to bring elasticity and flexibility to the area of high performance computing (HPC). In contrast to traditional Ethernet-based cloud data centers, however, HPC clusters typically use high-speed interconnects with intelligent network adapters, such as InfiniBand. They provide cutting-edge communication performance and use aggressive protocol offloading, OS-bypass techniques, and advanced features such as remote DMA. While the latest generation of such cards already provides hardware capabilities to ease their virtualization (with SR-IOV, for instance), support for transparent live migration of these self-virtualizing adapters is still an open question in virtualization research. In this thesis, we propose a novel design enabling guest-transparent live migration of a virtual machine configured with a directly assigned virtual device instance of self-virtualized hardware. We take advantage of the self-virtualization features to perform the actual state migration of the assigned instance in software. Despite we focus on HPC IaaS, our approach can be also employed in other scenarios. A prototypical evaluation, based on Mellanox’s ConnectX-3 VPI InfiniBand HCA and the Linux KVM virtual machine monitor (VMM), proofs that this design integrates with recent VMMs.
PLASTICITY IN PLANT SIZE AND ARCHITECTURE IN RHIZOME-DERIVED VS. SEED-DERIVED SOLIDAGO AND ASTER'

Old-field perennials of the genera Aster and Solidago, known to have long and short rhizomes, respectively, are expected to represent two types of genet architectures. We collected these plants at different field sites and grew their seeds and rhizomes in loose and compact soils to investigate the following questions about size and architectural plas- ticity in these clonal perennials: (1) to what extent do plant size and architecture vary among environments and within taxa, (2) does such variation obscure the differences in rhizome length and architecture between taxa, and (3) because these plants regenerate by clonal growth and sexual reproduction, how does mode of regeneration affect this variation? In all field sites as well as in the contrasting experimental environments Aster and Solidago had similar size (e.g., shoot height and plant mass) but different architecture. Whereas Aster always produced long rhizomes and much-branched shoots with few main-stem leaves, Solidago produced short rhizomes and little-branched shoots with many main-stem leaves. Size variation among environments was large in both genera. Architecture was influenced by environment in Aster but not in Solidago. Phenotypic variation for size and architectural characters among populations and families within genera was small. In both genera, plants grown from rhizomes and from seeds of the same (maternal) parents had similar mean performance, but phenotypic variation among environments was greater for rhizome- derived than for seed-derived plants. We conclude that in these plants the environment influences variation in architecture less strongly than it affects variation in size. Because differences among populations and families were also small, the two taxa Aster and Solidago are well characterized by their respective plant architecture. We suggest that the influence of mode of reproduction on phenotypic flexibility may reflect a stronger architectural "blueprint" in seed-derived plants (less flexible) as compared with rhizome-derived plants (more flexible).
FACTOR INFLUENCING THE USER SATISFACTION IN ADOPTING E-LEARNING BASED ON OPEN SOURCE LEARNING MANAGEMENT SYSTEM PLATFORM AT PT.MAHADANA DASHA UTAMA

Knowledge Management System (KMS) is important system to be applied in each company which purpose to maintain the company's knowledge assets. This is very important because the employee tacit knowledge is potentially lost (knowledge walkout) due to employee turnover during a company's knowledge is not well documented using the system. PT Mahadana Dasha Utama (MahaDasha) is one of the company has been adopting e-learning system. MahaDasha is an investment holding company with several business units. MahaDasha uses open source moodle learning management system technology platform. The idea is triggered by the company's efficiency program in information technology investment both infrastructure and application development so it enforce MahaDasha’s IT team to find out the best innovation solution by optimizing open source technology which suitable with the user's need. Therefore, this study aims to evaluate the effectiveness of e-learning adoption based on open source moodle technology platform by developing The DeLone & McLean Information Success Model and empirically measured the relation between aspect of information quality, system quality, service quality, user readiness and user satisfaction. The quantitative data are gained through questionnaire by distributing the questionnaires to all MahaDasha employees who use e-learning. The analysis of data indicated that the user satisfaction is the most positive influenced by information quality and user readiness . The contribution of this research was performed by evaluation process both for quality of trainer and IT support team based on result of the research. In the other hand, the system quality had been re-reviewed whether moodle application is suitable or not for user needs in MahaDasha .
WHAT GUIDANCE WILL BUILDING MODELLERS REQUIRE FOR INTEGRATING FUTURE CLIMATES INTO BUILDING PERFORMANCE SIMULATION?

We need to simulate building proposals in future weather conditions because the climate is changing. This increases the complexity of decision-making for the designers and building modeller. For instance, the latest climate projections for the UK (UKCP09 from UK Climate Projections, 2009) are probabilistic having large numbers of associated weather files. This paper reviews approaches to using future weather data including running multiple simulations and post-processing, narrowing the choice of files using a framework for selection, and using building unique functions. The paper finds that a framework may be beneficial and suggests the investigation of climate data prior to simulation.
Designing and Implementing Cyber Attack Prevention Software for Enterprise Information Security Management System

: Security weaknesses in information and communication systems cause these systems to be out of service or abuse, data loss, large-scale economic damage, deterioration of public order and violation of national security. The financial loss caused by cyber-attacks reaches extraordinary dimensions. It is very difficult to determine who insists and developed cyber-attacks targeting the information systems and their data. For these and similar reasons, cyber security software and cyber security hardware designed within the scope of the study aimed to ensure information security and prevent cyber-attacks. The hardware developed within the scope of the study was designed using Nano-technological computers. Open source programming technique was used in the design phase. In addition, with the integration of Nano-technology microcomputers and touch LCD screen, cyber security activities that provide ergonomic and easy use were carried out. With this cyber security software, it is aimed that especially small and medium sized enterprises and home users can benefit from the cyber security technology that they can use and manage easily.
REAL-TIME HARDWARE ARCHITECTURE OF THE ADAPTIVE DUAL THRESHOLD FILTER BASED ECG SIGNAL DENOISING

This paper presents a hardware architecture of the Adaptive Dual Threshold Filter (ADTF). This architecture leads to real-time process of the ECG signal denoising. The ADTF is a recent technique that offers a simple and efficient algorithm of the ECG signal denoising. The implementation of the ADTF is based on a structural VHDL description of different functional blocks. The overall architecture was designed and parallelized in order to accelerate processing. Results of this architecture design show high performances of the real-time denoising process of the ECG signal. The proposed architecture presents a low complexity and a low occupancy of the various resources of an FPGA architecture based low-cost systems presented in this research work.
Fluxes in litter decomposition in three selected indigenous species and teak in a converted rainforest ecosystem in southwestern Nigeria

The study investigated the rate of litter decomposition in three prominent litter releasing indigenous tree species in the natural rainforest and an exotic species Teak, Tectona grandis Lim. , in the adjacent plantation in Akure forest reserve, southwestern Nigeria. Results showed that teak had the highest litter decomposition rate and Mansonia altissima the least. There was no relationship between the rates of decomposition among all species examined. The implication is that teak litter had the highest probability of releasing litter nutrients into the soil nutrient pool than any of the selected indigenous tree species while Mansonia altissima had the least. However all species had high decomposition rates. This implies that soil fertility will be maintained if any of the tree species were to be used for monoculture plantations.
Parasitism Rate of Egg Parasitoid Anastatus orientalis (Hymenoptera: Eupelmidae) on Lycorma delicatula (Hemiptera: Fulgoridae) in China

Anastatus orientalis Yang et Gibson(Hymenoptera : Eupelmidae) is the egg parasitoid of lantern-fly Lycorma delicatula. The natural parasitism showed that: (1)the highest parasitism rate of egg masses was 68.96% in Yantai Shandong; (2)the highest parasitism rate of eggs was 32.98% in Haidian Beijing; (3)the eggs of parasitoids hatched and emerged earliest in Yangling Shaanxi; emergence time of different populations in Yantai, Guangang Tianjin, Qinhuangdao Hebei and Haidian was similar; (4) the sex ratios were various among the populations ranging from 1.92 to 1.94; (5) parasitism rates of egg masses on Populus sp. , Salix sp. and Toona sinensis were not significantly different, the highest parasitism rate of egg masses was 64.3% on T. sinensis, and the lowest rate was 27.4% on Ailanthus altissima; (6)parasitism rates of eggs on Populus sp. , Salix sp. , T. sinensis and A. altissima were not significantly different, about 30% averagely.
Covert Channel based on AMD Precision Boost 2

Covert channels provide an attacker with the means of bypassing application isolation demanded by system security policies. This thesis presents a frequencybased covert channel using the dynamic frequency scaling technology AMD Precision Boost 2, similar to a covert channel based on Intel Turbo Boost presented by Kalmbach [8]. By applying load on multiple CPU cores, the core frequency of all cores is reduced. This frequency drop can be measured by a receiver, allowing messages to be transmitted. Our analysis showed that in contrast to Intel Turbo Boost, Precision Boost 2 reacts with high, asymmetric latencies which introduce new problems in the construction of covert channels. In our design, we compensate for the asymmetric latencies by changing how the receiver translates frequencies into symbols. Our covert channel reaches a net bit rate of 1.08 bit/s when using a transfer protocol to ensure that messages are transmitted without errors. The channel also does not rely on operating system support, making the construction of centralized software-based countermeasures not trivial.
AN EXPRESSED SEQUENCE TAG ANALYSIS OF THALLUS AND REGENERATING PROTOPLASTS OF CHONDRUS CRISPUS (GIGARTINALES, RHODOPHYCEAE) 1

In order to identify genes involved in cell wall regeneration and stress responses in red algae, expressed sequence tags (ESTs) from protoplasts (2002 ESTs) and thalli (2052 ESTs) from the seaweed Chondrus crispus (Stackh.) were studied. Clustering gave 2291 non‐redundant sequences; 50% of the ESTs showed similarity (e<10−4) to known sequences. The fraction of stress‐related ESTs was five‐times higher in the protoplast library than in the thallus library. The ESTs that were statistically over‐represented in protoplasts included: glutathione S‐transferases, heat shock proteins, vanadium bromoperoxidase, and several genes of unknown function; in all 32 transcripts. Over‐represented genes in thallus included: NADH dehydrogenase, a peroxidase, and several genes of unknown function; in all 12 transcripts. In general, the ESTs from the two libraries were very different; for example, only 38% of contigs had members of both catalogues. The approach allowed the identification of numerous stress genes; including 23 different heat shock proteins and molecular chaperones, antioxidative enzymes, and several genes potentially involved in detoxification. Genes potentially involved in the construction of the cell wall or the extracellular matrix included α‐galactosidase, pullulanase, sulfohydrolase, and several sequences with von Willebrand factor type A domains with similarities to cochlin, integrin, and vitrin.
Communication Patterns in Distributed Deep Learning

Machine learning has been increasingly deployed in the cloud to take advantage of massive scaling capability as a means of reducing the time-to-accuracy of training. To this end, different machine learning training distribution frameworks are put to use, with Horovod from Uber emerging as a popular choice. To squeeze as much performance as possible from the distribution framework, it is important to maximally overlap computation and communication while maintaining high GPU utilization as a way of reducing the duration of each iteration of training. As a first step in this direction, this project sets out to study the communication component of training. We train Deep Neural Network (DNN) models of various sizes on sixteen GPUs in Google Cloud Compute Engine platform and record information about the data the workers exchange as well as the timing of each iteration of training. Our two main observations are: (i) the amount of data exchanged between workers at each training iteration is proportional to the model size; and (ii) the duration of training is not fully determined by the model size, it depends also on the compute hardware, communication bandwidth, and batch sizes in addition. The significance of these findings does not offer a complete enough picture for improving the TTA for models, but can do that in combination with information about computation.
Mathematical Morphology Elements Used for the Ridges Extraction of Linear AM-FM Modulated Signals

In this paper is presented an original method used to estimate the signature of an AM-FM signal, which in this case represents the variation law of the signal’s instantaneous frequency. The analysis was developed for linear AM-FM signals covered by a zero mean Gaussian noise. Key-Words: signature, time-frequency representations, ridges extraction, Gaussian noise.