Miracle-dz/UniFAR-FTUs huggingface dataset:
Ebselen sensitizes glioblastoma cells to Tumor Necrosis Factor (TNFα)‐induced apoptosis through two distinct pathways involving NF‐κB downregulation and Fas‐mediated formation of death inducing signaling complex

Resistance to tumor necrosis factor (TNFα)‐induced apoptosis in various cancer cells has been attributed to the activation of the transcription factor NF‐κB. Ebselen (2‐phenyl‐1,2‐benzisoselenazol‐3[2H]one)—a selenoorganic compound is known to prevent TNFα‐mediated NF‐κB activity. As glioblastoma are resistant to the cytotoxic effect of TNFα, we investigated the potential of Ebselen in sensitizing glioma cells to TNFα‐induced apoptosis. Although treatment with Ebselen reduced viability of glioma cells, cotreatment with TNFα enhanced apoptosis further through alteration of TNFα‐mediated signaling pathways. Sensitization of TNFα activated glioma cells to apoptosis by Ebselen involved 2 pathways: (i) abrogation of TNFα induced NF‐κB activation and (ii) induction of Fas‐associated death inducing signaling complex (DISC) formation. Ebselen inhibited the prosurvival pathway mediated by NF‐κB by altering the association of TNF receptor associated factor 2 (TRAF2) with TNFα receptor associated death domain (TRADD) in the TNFR1‐TRADD‐TRAF2 complex —an interaction crucial for mediating NF‐κB activity. Ebselen also induced the formation of DISC involving Fas, Fas‐associated death domain (FADD) and active caspase 8 to transduce apoptotic signals in situations where NF‐κB function was inhibited. Cotreatment with Ebselen and TNFα induced G2/M phase arrest in cell cycle and modulated the expression of molecules involved in cell cycle progression. These results raise the possibility of overcoming resistance to TNFα‐induced apoptosis by cotreatment with organoselenium Ebselen as a strategy to kill glioma cells. © 2008 Wiley‐Liss, Inc.
Energy-Aware Task Consolidation Technique for Cloud Computing

Task consolidation is a way of maximizing cloud computing resource, which brings many benefits such as better use of resources, rationalization of maintenance, IT service customization, QoS and reliable services, etc. However, maximizing resource utilization does not mean efficient energy usage. Many literature show that energy consumption and resource utilization in clouds are highly coupled. Some research works aim to decrease resource utilization for saving energy while some try to find the balance between resource utilization and energy consumption. In this paper, an energy-aware task consolidation (ETC) technique is presented aims to optimize energy consumption of virtual clusters in cloud data center. Conforming most cloud systems, a 70% principle of CPU utilization is proposed to manage task consolidation among virtual clusters. The simulation results show that ETC can significantly reduce power consumption in managing task consolidation for cloud systems. Up to 17% improvement as compare to a recent work in [10] that aims to maximize resource utilization can be obtained.
Interpolating Arithmetic Read-Once Formulas in Parallel

A formula is read-once if each variable appears in it at most once. An arithmetic formula is one in which the operations are addition, subtraction, multiplication, and division (and constants are allowed). We present a randomized (Las Vegas) parallel algorithm for the exact interpolation of arithmetic read-once formulas over sufficiently large fields. More specifically, for $n$-variable read-once formulas and fields of size at least 3(n2+3n-2), our algorithm runs in $O(\log^2 n)$ parallel steps using O(n4) processors (where the field operations are charged unit cost). This complements some results from [N. H. Bshouty and R. Cleve, Proc. 33rd Annual Symposium on the Foundations of Computer Science, IEEE Computer Science Press, Los Alamitos, CA, 1992, pp. 24--27] which imply that other classes of read-once formulas cannot be interpolated---or even learned with membership and equivalence queries---in polylogarithmic time with polynomially many processors (even though they can be learned sequentially in polynomial time). These classes include boolean read-once formulas and arithmetic read-once formulas over fields of size $o(n / \log n)$ (for n variable read-once formulas).
Dating COINS: Kinematic Ages for Compact Symmetric Objects

We present multiepoch VLBA observations of compact symmetric objects (CSOs) from the COINS sample (CSOs Observed In the Northern Sky). These observations allow us to make estimates of, or place limits on, the kinematic ages for those sources with well-identified hot spots. This study significantly increases the number of CSOs with well-determined ages or limits. The age distribution is found to be sharply peaked under 500 yr, suggesting that many CSOs die young, or are episodic in nature, and very few survive to evolve into FR II sources such as Cygnus A. Jet components are found to have higher velocities than hot spots, which is consistent with their movement down cleared channels. We also report on the first detections of significant polarization in two CSOs, J0000+4054 (2.1%) and J1826+1831 (8.8%). In both cases the polarized emission is found in jet components on the stronger side of the center of activity.
Alternative Funding Resources for Higher Education

This paper discusses the funding of higher education, starting (Section II) with the theoretical answers to a number of key questions. Section III sets out alternative funding packages, and Section IV considers recent developments in a number of countries. To make such a vast topic manageable, the paper is limited in several ways. It discusses the funding but not the production of higher education. It does not discuss the nature of the 'product', nor the specific issues raised by the funding of research. It looks only at advanced industrialised economies.2 Finally, it attempts to be systematic in surveying broad options, but not in surveying countries. Since policy can usefully be assessed only against stated aims, a word is needed about objectives. Macro efficiency aims relate to the total quantity of resources devoted to higher education, i.e. to the size of the sector. Micro efficiency is concerned with the division of total higher education resources between teaching and research and between different subject areas, and with the quality of the output and the extent to which it satisfies the demands of its three major constituencies, students, employers and government. Equity aims relate to the distribution of higher education by socio-economic group. Improving access for students from disadvantaged backgrounds depends on the organisation both of higher education and of the school system. Thus equity includes discussion of how resources should be divided between higher education, and policies to promote access earlier in the system. UK policy is concerned particularly with macro efficiency (e.g. expansion of the higher education system) and with improving access. Other countries, such as the United States, with large systems and a fairly broad class composition, are more concerned with aspects of micro efficiency, most particularly the quality of education and its contribution to broader aims such as output growth. These different concerns should not be surprising, since they follow fairly directly from the different nature of the two systems. Large taxpayer subsidies (for tuition fees and/or living costs) create supply-side constraints because of the desire to contain public spending. Where, as in Britain, qualified students have no automatic entitlement to a university place, the constraint takes the form of a view (typically by the Treasury) about student numbers. The result
The Impact Mechanism of Work Team Leaders’ Psychological Capital on Followers’ Organizational Citizenship Behavior: A Multilevel Model

The increase of global competition, consolidation, and innovation brought up pressures and urged the emergence of work teams as basic building blocks of organizations. As consequence, more and more organizations shifted from work organized around individual-base job to team-based work structures. Recent organizational researches confirmed that work team members’ organizational citizenship behavior had unique meaning to facilitate the effective functioning of work team. The purpose of this article was to explore how work team leaders’ psychological capital influenced on their direct followers’ organizational citizenship behavior. Sixty-six work teams (66 work team leaders and their 303 followers) were sampled from a large State-owned enterprise in eastern China. Data were collected from leaders and their direct followers respectively. Both work team leaders and their followers self-rated their own level of psychological capital. Besides, work team members also finished an organizational citizenship behavior self-report questionnaire. Structural equation model (SEM) and hierarchical linear mode (HLM) were applied to analyze the survey data. After controlling demographic and human capital variables, such as, gender, age, marriage, educational level and organizational tenure, hierarchical linear modeling results revealed that work team leaders’ psychological capital was positively related to their direct followers’ organizational citizenship behavior, work team members’ psychological capital was a cross-level mediator between work team leaders’ psychological capital and their followers’ organizational citizenship behavior. However, this research didn’t support the hypothesis that the relationship between work team members’ psychological capital and organizational citizenship behavior was moderated by work team leaders’ psychological capital such that the relationship was stronger when work team leaders’ psychological capital was perceived to be high versus low. This finding was different from that of western organizational background. Our findings revealed that both work team leaders and members’ psychological capital were positively associated with work team members’ organizational citizenship behavior. The result suggested that psychological capital, especially work team leaders’ psychological capital, was a key element for constructing efficient work teams. Entrepreneurs could do everything possible to improve work team leaders and members’ psychological capital to enhance work team efficiency and organizational performance.
Submarine groundwater discharge: An important source of new inorganic nitrogen to coral reef ecosystems

Using radium (Ra) isotopes and nutrient analyses, we found that submarine groundwater discharge (SGD) is an important source of “new” nutrients, particularly nitrogen, to coral reefs around the world. Nitrogen input estimates associated with SGD range from 3 to 800 mmol h‐1 per meter of shoreline. The use of Ra isotopes allows us to quantify the inorganic nitrogen input from this source of nutrients. Increasing coastal population and land use practices may enhance anthropogenic nutrient loading from submarine groundwater contributing to reef degradation.
Dynamic Pricing for Multi-Products in E-Retailing

In this paper, we investigate the use of Q-learning approach to the problem of determining dynamic prices for multi-products in an e-retailing setting. In particularly, this article is concerned with the representation and generalization of large state spaces in Q-learning problems. We proposed a Q-learning model that is based on the self-organizing map, and validate our approach in simulated test.
Perturb and observe based on fuzzy logic controller maximum power point tracking (MPPT)

Photovoltaic (PV) systems are considered to be renewable resources of energy that utilize direct sun radiation and converts it to electric power. The most important elements in such systems are photovoltaic cells that are connected as an array to produce usable electric energy. These systems need electronic converters to convert the system's output current and voltage into a proper form when considering the conditions of the system's load and its needs. The most commonly used electronic converter is the DC to DC converter where high voltage is generated from the low solar cell voltage. This paper, explores the PV system and DC to DC converter with reference to two cases: in the first case, the system was designed as a closed loop system, since the situation of the system depends on the algorithm of the maximum power point tracking (MPPT), which captures the maximum amount of sunshine to generate the maximum electrical power. This system simulation and hardware implementation was done using the MATLAB/SIMULINK software program and real components integration. In the second case, the system was designed depending on MPPT, but the simulation was done by using a fuzzy logic controller. The implementation and simulation results for both cases are presented to illustrate the output voltage's steady state returning ability when the input voltage influence varied. The presence of a minute settling time and over-shoot in output voltage return ia apparent as well. Finally, the result for the two cases is compared to ascertain which case is better.
Adjuvanticity of Plasmid DNA Encoding Cytokines Fused to Immunoglobulin Fc Domains

Purpose: Plasmid DNAs encoding cytokines enhance immune responses to vaccination in models of infectious diseases and cancer. We compared DNA adjuvants for their ability to enhance immunity against a poorly immunogenic self-antigen expressed by cancer. Experimental Design: DNAs encoding cytokines that affect T cells [interleukin (IL)-2, IL-12, IL-15, IL-18, IL-21, and the chemokine CCL21] and antigen-presenting cells [granulocyte macrophage colony-stimulating factor (GM-CSF)] were compared in mouse models as adjuvants to enhance CD8+ T-cell responses and tumor immunity. A DNA vaccine against a self-antigen, gp100, expressed by melanoma was used in combination with DNA encoding cytokines and cytokines fused to the Fc domain of mouse IgG1 (Ig). Results: We found that (a) cytokine DNAs generally increased CD8+ T-cell responses against gp100; (b) ligation to Fc domains further enhanced T-cell responses; (c) adjuvant effects were sensitive to timing of DNA injection; (d) the most efficacious individual adjuvants for improving tumor-free survival were IL-12/Ig, IL-15/Ig, IL-21/Ig, GM-CSF/Ig, and CCL21; and (e) combinations of IL-2/Ig + IL-12/Ig, IL-2/Ig + IL-15/Ig, IL-12/Ig + IL-15/Ig, and IL-12/Ig + IL-21/Ig were most active; and (f) increased adjuvanticity of cytokine/Ig fusion DNAs was not related to higher tissue levels or greater stability. Conclusions: These observations support the potential of cytokine DNA adjuvants for immunization against self-antigens expressed by cancer, the importance of timing, and the enhancement of immune responses by Fc domains through mechanisms unrelated to increased half-life.
The Multifrontal Method for Sparse Matrix Solution: Theory and Practice

This paper presents an overview of the multifrontal method for the solution of large sparse symmetric positive definite linear systems. The method is formulated in terms of frontal matrices, update matrices, and an assembly tree. Formal definitions of these notions are given based on the sparse matrix structure. Various advances to the basicmethod are surveyed. They include the role ofmatrix reorderings, the use of supernodes, and other implementation techniques. The use of the method in different computational environments is also described. 1. Introduction. The numerical solution of large sparse linear systems lies at the heart of many large-scale scientific and engineering computations. One of the signifi- cant advances in direct methods for sparse matrix solution was the development of the multifrontal method by Duff and Reid (20) in 1983. The method reorganizes the overall factorization ofa sparse matrix into a sequence ofpartial factorizations ofdense smaller matrices. The method has proved to be extremely valuable. Its importance can be gauged by its wide acceptance in many scientific and engineering applications. The method has been used in many large-scale finite element applications (8), (9), (43). Recently, its us- age has been reported in the solution of the Navier-Stokes equation for computational fluid dynamics (3), in the solution of separable optimization problems (10), and in semi- conductor device simulation (40). The method has also attracted great interest in the linear programming community as an effective solution method for sparse linear least squares problems arising from Karmarkar's method. The term "multifrontal" is used by Duff and Reid (20) since they developed the
Lipoxygenase pathway and antioxidant system in salt stressed tomato seedlings (Lycopersicon esculentum Mill.)

Soil or growing media salinity is an increasing problem in agriculture throughout the world. Therefore, there is a real interest in a better understanding of the mechanisms set by the plants to respond to this stress. The present study concerns tomato, which is one of the most important cultivated vegetables. Tomato seeds (Lycopersicon esculentum var. 'Moneymaker') were disinfected and a salt stress (NaCl 100 mM) was applied 8 days after the onset of germination. Samples were collected after 4 days of stress. In this study, attention was focused on the antioxidant system and the lipoxygenase pathway because salt stress is often associated with an increased production of reactive oxygen species and polyunsaturated fatty acids are one of the most susceptible targets to oxidative attacks. The perception of the stress by the plantlets was confirmed by the overexpression of an aquaporin-coding gene (aqua2). Concerning the antioxidant system, the activities of ascorbate peroxydase and catalase enzymes were studied but no significant variation was observed between stressed seedlings and controls. Similar results were obtained for ascorbate measurements. Complementarily, the lipoxygenase pathway was studied at three levels in the plantlets. The expression of two genes (lipoxygenase-A and oxo-phytodienoic acid reductase) was first followed at the mRNA level by RT-PCR. The oxylipin content was determined by HPLC and the lipoxygenase activity as well as the hydroperoxide degradation activity were measured spectrophotometrically. The obtained results indicate that no clear accumulation of oxylipin occurs in our stress conditions. However, an increase in lipoxygenase and hydroperoxide degradation activities was observed and seems to indicate that several enzymes of the lipoxygenase pathway are involved in the plant response to salt stress.
Reflections on the 2014 Decade Award: Is There Strength in the Construct of HR System Strength?

Since the 2004 publication of “Understanding HRM–Firm Performance Linkages: The Role of the ‘Strength’ of the HRM System,” the concept of HRM strength has been widely accepted in the field. We reflect on how the construct of HRM system strength has been used in subsequent theory and research, devoting particular attention to identifying consistencies and inconsistencies from the original intent and implications of the construct for related areas and topics such as strategic HRM, HRM architecture, social psychological contracts, and organizational climate strength. Our review indicates that subsequent work has considerably added to the original; however, challenges remain in capitalizing on this construct in both theory and research. We conclude by offering promising directions for further developing the construct of HRM system strength.
Tata Laksana ‘Behavioral Activation’ untuk Menurunkan Tingkat Depresi pada Pasien Stroke

Depression in patients of stroke causes a decrease in health, quality of life, and positive feelings. Behavioral Activation (BA) is a technique that consists of various series of activities that can increase happiness, productivity, and patient's meaning of life. BA for depression in stroke patients still needs to be developed more in clinical setting. Therefore, we need a treatment guideline for psychologists in conducting assessment, diagnosis, and treatment for depression in stroke patients based on BA principles. This study aims to verify the effectiveness of BA guideline by evaluating psychologist’s self efficacy in delivering service for stroke patients, patients’ satisfaction of service, & patients’ BDI scores. Data were analyzed by visual inspection and qualitative analysis.
ST-Drop: A novel buffer management strategy for D2D opportunistic networks

In D2D opportunistic networks, nodes need to cooperate acting as relays for transmitting messages to other nodes according to an opportunistic routing algorithm. To store these messages until they are propagated, each node uses a buffer with limited capacity. However, when multiple messages are forwarded in the network, the number of incoming messages may exceed the nodes' capacity, causing a buffer overflow. In this scenario, message dropping policies are very important to this problem, because when a message is dropped, there is a chance that other copies of this message still exist in the network. In this work, we propose a new buffer management algorithm for opportunistic routing in D2D networks named ST-Drop (Space-Time-Drop). We have evaluated our solution in three different types of opportunistic routing algorithms: epidemic-based, probabilistic, and social-aware. We have conducted simulations using two different publicly available data sources and considered different network traffic loads. Compared to other message drop policies, ST-Drop obtained the highest message delivery ratio in all considered scenarios and the lowest overhead when applied to the state-of-art social-aware and probabilistic routing algorithms, namely, Bubble Rap and Prophet.
30-Gb/s Bidirectional Transparent Optical Transmission With an MMF Access and an Indoor Optical Wireless Link

This letter describes a 30-Gb/s bidirectional transparent optical transmission, over a 4.4-km multimode fiber (MMF) in combination with an indoor optical wireless (OW) link, which could provide limited mobility. Due to MMF's advantages, such as lower installation costs and easy maintenance, it is used as the access link. To enhance the MMFs bandwidth and provide the feasibility to use standard single-mode devices in the OW terminal (OWT), center launching and center detection techniques are both utilized. The stability of the indoor OW channel and the modal noise in MMF are investigated. Discrete multitone modulation with power and bit loading algorithms are applied to improve system's frequency utilization efficiency and robustness.
Parameter approximate dynamic optimization for PSO systems

This paper presents a novel swarm approximate dynamic programming method (swarm-ADP) for parameter optimization of PSO systems, from the perspective of optimal control. Based on the stability results of a simplified PSO and the swarm-ADP algorithm, parameter dynamic optimization and computation is studied in detail for a deterministic PSO system and a stochastic PSO system, respectively. Furthermore, numerical simulations based on several benchmarks optimization are performed. The results show the validity of the proposed parameter optimization method for PSO systems.
On the modeling of robots in contact with a dynamic environment

A new modeling approach for describing motion of robots in contact with a possibly dynamic environment is presented. The proposed technique allows one to model all those cases in which purely kinematic constraints imposed on the robot end-effector live together with dynamic interactions. Suitable parametrizations are introduced for the environment configurations and constrained end-effector poses and for the exchanged forces. The generalized directions of 'static' environment reaction forces (orthogonal to the directions of admissible end-effector motion) and those of 'active' forces (responsible for energy transfer between robot and environment) are formally characterized. The overall dynamics of the robot-environment system is then derived in a unique framework. The obtained model structure is shown to be suitable for the design of hybrid control laws. Simple but significative examples are reported to illustrate the modeling procedure. <<ETX>>