Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards a framework for iteratively signing graph data

When publishing graph data on the web such as vocabularies using RDF(S) or OWL, one has only limited means to verify the authenticity and integrity of the graph data. Today's approaches require a high signature overhead and do not support iterative signing of graph data. This paper describes a first step towards a framework for signing arbitrary graph data provided in RDF(S), Named Graphs, or OWL. Our framework supports signing graph data at different levels of granularity: minimum self-contained graphs (MSG), sets of MSGs, and entire graphs. It supports iteratively signing graph data, e. g. , when different parties provide different parts of a common graph, and allows for signing multiple graphs. Both can be done with a constant, low overhead for the resulting signature statements, even when iteratively signing.
Game Theoretic Approach in Adapting QoS Routing Protocol for Wireless Multimedia Sensor Networks

Network routing has a direct impact on the fairness and efficiency of the whole wireless multimedia sensor networks, the cooperation of nodes in term of routing can be considered as a group called routing coalition. In order to improve the fairness of the wireless multimedia sensors networks, each node should take into account the choices of joining a appropriate routing coalition. This paper presents a game theoretic approach, called coalitional routing game (CRG), which is guideline for nodes to choose the best coalition. The objective of the proposed method is to achieve fairness and QoS efficiency for each node in joining the routing coalition. The Shapley value is used as a solution for the CRG. The coalitional routing game is implemented in DSR protocol in network simulator NS-2 to verify its performance with simulations. Numerical analysis and simulations are conducted, and the results demonstrate that the CRG improves performance of the DSR compared to the same network with only DSR protocol.
Knowledge Management: Perspectives and Practices from the Middle East

This chapter gives an introduction to the core concepts behind knowledge management as well as the reasons behind the increasing emphasis that has been placed on the knowledge management process as a source of competitive advantage, innovation, and organizational performance. Some of the key influences on knowledge management processes are also examined such as culture and the roles of management before being examined in the context of KM initiatives in the Middle East. The critical success factors relating to the implementation of knowledge management processes are then outlined before a framework for implementation that takes into account the unique features of organizations in the Middle East is discussed.
A Method for Applying Double Scheme Dynamic Reconfiguration over InfiniBandTM

InfiniBand Architecture is a newly established general-purpose interconnect standard applicable to local area, system area and storage area networking and I/O. Networks based on this standard should be capable of tolerating topological changes due to resource failures, link/switch activations, and/or hot swapping of components. In order to maintain connectivity, the network’s routing function may need to be reconfigured on each topological change. Although the architecture has various mechanisms useful for configuring the network, no strategy or procedure is specified for ensuring deadlock freedom during dynamic network reconfiguration. In this paper, a method for applying the Double Scheme [1] over InfiniBand networks is proposed. The Double Scheme provides a systematic way of reconfiguring a network dynamically while ensuring freedom from deadlocks. We show how features and mechanisms available in InfiniBand Architecture for other purposes can also be used to implement dynamic network reconfiguration based on the Double Scheme. We also propose new mechanisms that may be considered in future versions of the spec for making dynamic reconfiguration and other subnet management operations more efficient.
Survey of Occupational Therapy Practitioners in Southwestern Schools

Purpose: The purpose of this study was to identify current practice in assessment useof school-based occupational therapy practitioners and to identify their expectations of student performance in assessment upon completion of the pediatric Fieldwork II experience. A survey of school-based occupational therapists in the southwestern states was conducted to answer three research questions: (1) what standardized assessments are currently used frequently and occasionally by occupational therapy practitioners in the school setting, (2) what level of competency in assessment administration by Fieldwork II students is expected by supervising occupational therapists, and (3) what educational preparation did the practitioners receive prior to their employment in schools and what professional support is currently available to them? Method: A five page questionnaire was mailed to 406 practicing thera-pists in four southwestern states with a response rate of 74.1 percent using Dillman's Total Design Method. Results: Respondents reported use of motor and visual perception tests most frequently in their practice. When trends of this survey were compared to previous surveys, practitioners reported similar use of motor and visual perception tests, a decreased use of sensory integration measures, and an increasein the use of function-based assessments.
Motion Planning of Humanoid Robot Arm for grasping task

A new method for computing numerical solution to the motion planning of humanoid robot arm is developed. The proposed method is based on combination of two nonlinear programming techniques. Forward recursion formula with backward cycle computation method is used to reach in the vicinity of target object and then FBS method is used to grasp object in real-time. Proposed method is numerically stable, computationally effective and it is not sensitive to singular configuration of the manipulator. Effectiveness of the proposed method is achieved through results.
Renal Comorbidity After Solid Organ and Stem Cell Transplantation

After transplantation of solid organs or hematopoietic stem cells, a significant acute decrease in renal function occurs in the majority of patients. Depending on the degree of kidney injury, a large number of patients develop chronic kidney disease (CKD) and some develop end‐stage renal disease requiring renal replacement therapy. The incidence varies depending on the transplanted organ, but important risk factors for the development of CKD are preexisting renal disease, hepatitis C, diabetes, hypertension, age, sex, posttransplant acute kidney injury and thrombotic microangiopathy. This review article focuses on the risk factors of posttransplant chronic kidney disease after organ transplantation, considering the current literature and integrates the incidence and the associated mortality rates of acute and chronic kidney disease. Furthermore, we introduce the RECAST (REnal Comorbidity After Solid organ and hematopoietic stem cell Transplantation) registry.
Power-precision scalable latch memories

Approximate computing leverages the inherent error resiliency present in many applications to improve circuits performance. Precision-scalable systems dynamically introduce approximations to trade off power and quality, based on the application under execution and the incoming dataset. In this paper, this principle is explored for the first time in the context of latch memories by introducing the ability to scale their precision, while retaining the ability to synthesize them in an automated manner. This offers additional opportunities to reduce energy, compared to the well-known suitability for aggressive voltage scaling of latch memories. A case study based on image processing applications is presented to evaluate the quality-power trade-off in 40nm CMOS. The analysis shows that the total power is reduced by up to 56% when the precision requirement is relaxed.
The luminal Vps 10 p domain of sortilin plays the predominant role in targeting to insulin-responsive Glut 4-containing vesicles *

In fat and skeletal muscle cells, insulin-responsive vesicles, or IRVs, deliver glucose transporter Glut4 and several associated proteins to the plasma membrane in response to hormonal stimulation. Although the protein composition of the IRVs is well studied, the mechanism of their formation is unknown. It is believed, however, that the cytoplasmic tails of the IRV component proteins carry targeting information to this compartment. In order to test this hypothesis, we have studied targeting of sortilin, one of the major IRV constituents. We have found that the reporter protein consisting of the cytoplasmic tail of sortilin and EGFP is co-localized with ectopically expressed Glut4 in the perinuclear compartment of undifferentiated 3T3L1 cells that do not form insulinresponsive vesicles. Upon cell differentiation, this reporter protein does not enter the IRVs; moreover, it loses its perinuclear localization, and becomes randomly distributed throughout the whole intracellular space. On the contrary, the tagged luminal Vps10p domain of sortilin demonstrates partial co-localization with Glut4 in both undifferentiated and differentiated cells and is targeted to the IRVs upon cell differentiation. Using chemical cross-linking and yeast two-hybrid system, we show that sortilin interacts with Glut4 and IRAP in the vesicular lumen. Our results suggest that luminal interactions between component proteins play an important role in the process of IRV biogenesis.
In Vivo 5 Day Animal Studies of a Compact, Wearable Pumping Artificial Lung

Recent studies show improved outcomes in ambulated lung failure patients. Ambulation still remains a challenge in these patients. This necessitates development of more compact and less cumbersome respiratory support specifically designed to be wearable. The Paracorporeal Ambulatory Assist Lung (PAAL) is being designed for providing ambulatory support in lung failure patients during bridge to transplant or recovery. We previously published in vitro and acute in vivo results of the PAAL. This study further evaluates the PAAL for 5 days. Five-day in vivo studies with the PAAL were conducted in 50–60 kg sheep after heparinization (activated clotting time range: 190–250 s) and cannulation with a 27 Fr. Avalon Elite dual-lumen cannula. The animals were able to move freely in a stanchion while device flow, resistance, and hemodynamics were recorded hourly. Oxygenation and hemolysis were measured daily. Platelet activation, blood chemistry, and comprehensive blood counts are reported for preoperatively, on POD 0, and POD 5. Three animals survived for 5 days. No study termination resulted from device failure. One animal was terminated on POD 0 and one animal was terminated at POD 3. The device was operated between 1.93 and 2.15 L/min. Blood left the device 100% oxygenated. Plasma-free hemoglobin ranged 10.8–14.5 mg/dl. CD62-P expression was under 10%. Minimal thrombus was seen in devices at explant. Chronic use of the PAAL in awake sheep is promising based on our study. There were no device-related complications over the study course. This study represents the next step in our pathway to eventual clinical translation.
Vertical Differentiation Strategy of Products with Network Externality

In vertical differentiation model with network externality,Bertrand price competitive strategies of duopoly firms are researched under incomplete covering or complete covering market.According to the results,market price,share and profit of both product under complete covering market are greater than that of under incomplete covering market;but quality differentiation degree of product is less than that of under incomplete covering market;Product with high quality obtains market dominant no matter which market coverage;market price,share and profit of high quality product with network externality are greater than that of without network externality,and increase with network externality parameter increasing,but all case are reverse for low quality product.
Development of a Machine Vision Method for the Monitoring of Laying Hens and Detection of Multiple Nest Occupations

Free range systems can improve the welfare of laying hens. However, the access to environmental resources can be partially limited by social interactions, feeding of hens, and productivity, can be not stable and damaging behaviors, or negative events, can be observed more frequently than in conventional housing systems. In order to reach a real improvement of the hens’ welfare the study of their laying performances and behaviors is necessary. With this purpose, many systems have been developed. However, most of them do not detect a multiple occupation of the nest negatively affecting the accuracy of data collected. To overcome this issue, a new “nest-usage-sensor” was developed and tested. It was based on the evaluation of thermografic images, as acquired by a thermo-camera, and the performing of patter recognitions on images acquired from the nest interior. The sensor was setup with a “Multiple Nest Occupation Threshold” of 796 colored pixels and a template of triangular shape and sizes of 43 × 33 pixels (high per base). It was tested through an experimental nesting system where 10 hens were reared for a month. Results showed that the evaluation of thermografic images could increase the detection performance of a multiple occupation of the nest and to apply an image pattern recognition technique could allow for counting the number of hens in the nest in case of a multiple occupation. As a consequence, the accuracy of data collected in studies on laying performances and behaviors of hens, reared in a free-range housing system, could result to be improved.
A Particle Swarm Optimization with diversity-guided convergence acceleration and stagnation avoidance

This paper proposes an enhanced Particle Swarm Optimization (PSO) algorithm by using the swarm diversity as a main guidance in both convergence acceleration and stagnation avoidance. This proposed algorithm, namely Diversity-Guided PSO (DGPSO), includes three features that employ swarm diversity at each generation. First, the inertia weight is adapted using a feedback from diversity. Second, DGPSO operations include a perturbation, whose distance is controlled with the diversity information, significantly accelerating the convergence. Third, the diversity-guided mechanism prevents the swarm from being trapped in local optima. DGPSO is evaluated using 10 well-known benchmarks of non-linear functions with various characteristics. The test results at 20 and 50 dimensions are compared with those from Standard PSO 2007 (SPSO07) [19] and Ratnaweera's MPSO-TVAC (RPSO) [6]. The experiment demonstrates that DGPSO outperforms both SPSO07 and RPSO in most cases with statistical significance.
Mapping a Complete Neural Population in the Retina

Recording simultaneously from essentially all of the relevant neurons in a local circuit is crucial to understand how they collectively represent information. Here we show that the combination of a large, dense multielectrode array and a novel, mostly automated spike-sorting algorithm allowed us to record simultaneously from a highly overlapping population of >200 ganglion cells in the salamander retina. By combining these methods with labeling and imaging, we showed that up to 95% of the ganglion cells over the area of the array were recorded. By measuring the coverage of visual space by the receptive fields of the recorded cells, we concluded that our technique captured a neural population that forms an essentially complete representation of a region of visual space. This completeness allowed us to determine the spatial layout of different cell types as well as identify a novel group of ganglion cells that responded reliably to a set of naturalistic and artificial stimuli but had no measurable receptive field. Thus, our method allows unprecedented access to the complete neural representation of visual information, a crucial step for the understanding of population coding in sensory systems.
Single-Transform Formulas for Pricing Asian Options in a General Approximation Framework under Markov Processes

Cai, Song and Kou (2015) [Cai, N. , Y. Song, S. Kou (2015) A general framework for pricing Asian options under Markov processes. Oper. Res. 63(3): 540-554] made a breakthrough by proposing a general framework for pricing both discretely and continuously monitored Asian options under one-dimensional Markov processes. In this note, under the setting of continuous-time Markov chain (CTMC), we explicitly carry out the inverse Z-transform and the inverse Laplace transform respectively for the discretely and the continuously monitored cases. The resulting explicit single Laplace transforms improve their Theorem 2, p.543, and numerical studies demonstrate the gain in efficiency.
Price optimization for transportation service procurement with fuzzy random shipments: from shipper’s perspective

Abstract This paper considers fuzzy random shipments and seeks to optimize transportation service prices from a shipper’s perspective. To determine suitable prices, the carriers’ existing networks and possible reactions are considered, so that the shipper can easily and effectively purchase the required services while optimizing total cost. Two objectives are considered for the shippers, minimizing total cost and total risk. For the carrier, the objective is to maximize carrier profits. Multi-objective expected bi-level programming is developed to incorporate the decision makers’ preferences. After establishing the model with uncertain data, multi-objective particle swarm optimization is proposed to solve the model. A case study and analysis are then presented to illustrate the effectiveness of the proposed model and approach.
An overview of e-invoicing in China and the factors affecting individual's intention to B2C e-invoicing adoption

Objectives of the Study This study is aimed to present a clear picture of e-invoicing in China, by introducing the whole related process and work that have been carried out or are going to be done in the recent years. Also, it will explore Chinese individual’s attitude towards B2C e-invoicing and the factors that can affect individual’s intention to adoption. Based on those studies, useful suggestions for the developing of e-invoicing in China are supposed to be put forward. Academic background and methodology The theoretical part of this thesis is based on the theory of reasoned behavior (TRA) introduced by Fishbein (1967), the technology acceptance model (TAM) proposed by Davis (1986), and the unified theory of acceptance and use of technology (UTAUT) (Venkatesh et al., 2003). A framework will be adapted from the previous studies to better illustrate einvoicing in China, and a new factor—promotional effort, will be included to examine whether it is able to affect user’s intention to adoption. The empirical part will adopt an online survey conducted among Chinese citizens, and the responds data will be analyzed to test whether the framework is able to explain individuals’ attitudes and intention to adoption, whether the proposed factors are significant, and whether hypothesis about determinants related to attitudes and intention are true or not. Findings and conclusions The results attained from the analysis indicate that, PU is the most significant variable that affecting individual's attitude to e-invoicing, while the power of PEU and T are much weaker. Consistent with the hypothesis, attitude is positively related to intention. While the hypothesis regarding to social influence that it will positively affect people’s intention turned out to be false in this case. What is remarkable is that promotional effort is found to plays a role in stimulating users’ intention, and its effect is stronger for women than for men, and stronger for existed user than for those who never used e-invoicing, which is worthy for further study.
MORAL GOVERNANCE AND STAKEHOLDER MANAGEMENT: ARE POLITICIANS TOO POWERFUL?

We investigate upon the influences on the Board exerted by politicians concerning strategic management and corporate governance, an invasive activity which we characterize as moral governance. We present a list of actions through which politicians and other outside parties who intervene in the political arena show power in influencing corporate policies. We analyze three Italian clinical cases some of which can be considered reluctant forms of privatization. At crossroads between corporate governance and stakeholder management, our model could be used as a guideline and checklist for insiders to interact with politicians, for cross-country comparisons of business environment, and for assessing transparency of companies in developed and developing countries.
Employer Branding Strategies Effects on Job Pursuit Intention of Business School Undergraduates: Case Study of Oil Companies in Indonesia

Employers in Indonesia must set themselves apart from competitors to attract high quality graduates from the university since the competition for talent is so high. Therefore, employer needs to increase the value of company as a good employer by conducting early-recruitment branding strategies. This study aims to examine the impact of employer branding strategies and perceived job attributes of employer image towards organizational prestige and job pursuit intention. This paper also reveals the differences between those variables, which carried out by two oil companies in Indonesia with differ-ent characteristics. The one is state-owned oil company, and another one is multinational oil compa-ny. The respondents of this study are undergraduate students of Faculty of Economics and Business in one of the reputable university in Indonesia. Using structural equation modeling method, the results show that for state-owned oil company, word of mouth endorsement is the most significant dimension affecting perceived job attributes of employer image. While for multinational oil company, advertis-ing is the most significant dimension affecting perceived job attributes of employer image. Three of four employer image dimensions (working atmosphere, payment attractiveness, and task attractive-ness) influence organizational prestige, which in turn influences job pursuit intention for both compa-nies. The paper discusses the implication of the results for academic and company in the oil industry. Research paper Reference to this paper should be made as follows: Devina. M. , Astrini, M. R. , Syaebani, M. I. (2016). “Employer Branding Strategies Effects on Job Pursuit Intention of Business School Under-graduates: Case Study of Oil Companies in Indonesia”, Journal of Entrepreneurship, Business and Economics, Vol. 4, No. 2, pp. 1–39