Miracle-dz/UniFAR-FTUs huggingface dataset:
PENGARUH STRATEGI PEMBELAJARAN DAN KEMAMPUAN ANALITIK TERHADAP KETERAMPILAN PNEUMATIK MAHASISWA TEKNIK MESIN UNY

Penelitian ini bertujuan untuk mengetahui perbedaan keterampilan pneumatik pada mahasiswa yang diajar dengan strategi pembelajaran lengkap dan demonstrasi sesuai berdasarkan kemampuan analitiknya pada pembelajaran mata kuliah Pneumatik Hidroulik. Penelitian ini merupakan penelitian quasi eksperimen dengan variabel terikat keterampilan pneumatik, variabel bebas strategi pembelajaran, dan variabel atribut kemampuan analitik mahasiswa. Rancangan eksperimen faktorial 2x2 dengan dua ta-raf kualifikasi variabel bebas yaitu strategi pembelajaran lengkap dan demonstrasi. Dua kelas sebagai subyek penelitian dengan 32 mahasiswa pada masing-masing kelas, sehingga jumlah keseluruhan adalah 64 mahasiswa yang dipilih secara random. Temuan penelitian ini adalah (1) keterampilan pneumatik mahasiswa yang diajar dengan strategi lengkap lebih tinggi dibanding yang diajar dengan strategi demonstrasi, (2) kelompok mahasiswa yang berkemampuan analitik tinggi dan diajar dengan strategi lengkap, keterampilannya lebih tinggi dibanding yang diajar dengan strategi demonstrasi, (3) kelompok mahasiswa yang berkemampuan analitik rendah dan diajar dengan strategi demonstrasi, keterampilannya lebih tinggi dibanding yang diajar dengan strategi lengkap, (4) ada interaksi antara strategi pembelajaran dan kemampuan analitik terhadap keterampilan pneumatik. Kata kunci: strategi pembelajaran, kemampuan analitik, keterampilan pneumatik
Personalized Reputation Management in P2P Networks

P2P networks have become increasingly popular in the recent years. However, their open, distributed and anonymous nature makes them very vulnerable against malicious users who provide bad responses to requests from other peers. Motivated by this observation, various solutions for distributed reputation systems have been presented recently. In this paper, we describe the first reputation system which incorporates both user-individual personalization and global experiences of peers in the network, for the distributed computation of reputation values. We also present a secure method to compute global trust values, thus assuring identification and isolation of malicious peers. Finally, our simulations show that our system is robust even against attacks from groups of malicious peers deliberately cooperating to subvert it.
Dichotomy Guided Based Parameter Adaptation for Differential Evolution

Differential evolution (DE) is an efficient and powerful population-based stochastic evolutionary algorithm, which evolves according to the differential between individuals. The success of DE in obtaining the optima of a specific problem depends greatly on the choice of mutation strategies and control parameter values. Good parameters lead the individuals towards optima successfully. The increasing of the success rate (the ratio of entering the next generation successfully) of population can speed up the searching. Adaptive DE incorporates success-history or population-state based parameter adaptation. However, sometimes poor parameters may improve individual with small probability and are regarded as successful parameters. The poor parameters may mislead the parameter control. So, in this paper, we propose a novel approach to distinguish between good and poor parameters in successful parameters. In order to speed up the convergence of algorithm and find more "good" parameters, we propose a dichotomy adaptive DE (DADE), in which the successful parameters are divided into two parts and only the part with higher success rate is used for parameter adaptation control. Simulation results show that DADE is competitive to other classic or adaptive DE algorithms on a set of benchmark problem and IEEE CEC 2014 test suite.
Micronutrient fortification of plants through plant breeding: can it improve nutrition in man at low cost?

Can commonly-eaten food staple crops be developed that fortify their seeds with essential minerals and vitamins? Can farmers be induced to grow such varieties? If so, would this result in a marked improvement in human nutrition at a lower cost than existing nutrition interventions? An interdisciplinary international effort is underway to breed for mineral- and vitamin-dense varieties of rice, wheat, maize, beans and cassava for release to farmers in developing countries. The biofortification strategy seeks to take advantage of the consistent daily consumption of large amounts of food staples by all family members, including women and children as they are most at risk for micronutrient malnutrition. As a consequence of the predominance of food staples in the diets of the poor, this strategy implicitly targets low-income households. After the one-time investment is made to develop seeds that fortify themselves, recurrent costs are low and germplasm may be shared internationally. It is this multiplier aspect of plant breeding across time and distance that makes it so cost-effective. Once in place, the biofortified crop system is highly sustainable. Nutritionally-improved varieties will continue to be grown and consumed year after year, even if government attention and international funding for micronutrient issues fades. Biofortification provides a truly feasible means of reaching malnourished populations in relatively remote rural areas, delivering naturally-fortified foods to population groups with limited access to commercially-marketed fortified foods that are more readily available in urban areas. Biofortification and commercial fortification are, therefore, highly complementary. Breeding for higher trace mineral density in seeds will not incur a yield penalty. Mineral-packed seeds sell themselves to farmers because, as recent research has shown, these trace minerals are essential in helping plants resist disease and other environmental stresses. More seedlings survive and initial growth is more rapid. Ultimately, yields are higher, particularly in trace mineral-‘deficient’ soils in arid regions.
A multichannel acoustic echo canceler double-talk detector based on a normalized cross-correlation matrix

Multichannel acoustic echo cancellation is basically composed of two parts. One part is a multichannel system identification problem which is nontrivial to solve. The other part, which is also nontrivial, is the so-called double-talk detection problem. Near-end speech detection is based on a test statistic. Recently, a new double-talk test statistic based on the normalized cross-correlation vector was proposed for the single-channel case. Obviously, in the multichannel case, there are several solutions, but what should be the optimal one is not yet known. Then, a fundamental question arises: how do we deal optimally with multiple channels? In this paper, we generalize the idea of normalized cross-correlation vector (single-channel) to the matrix case (multichannel), derive a frequency-domain version, and show how to combine both the multichannel frequency-domain adaptive filter and the multichannel double-talk detector.
The Regulatory Role for Magnesium in Glycolytic Flux of the Human Erythrocyte*

31P NMR was used to measure the intracellular free magnesium concentration ([Mg2+]i) in human erythrocytes while [Mg2+]i was changed between 0.01 and 1.2 mM using the divalent cationophore A23187. 13C NMR and [2-13C]glucose were used to determine the kinetic effects of [Mg2+]i by measuring the flux through several parts of the glucose pathway. Glucose utilization was strongly dependent on [Mg2+]i, with half-maximal flux occurring at 0.03 mM. The rate-limiting step was most likely at phosphofructokinase, which has a Km(Mg2+) of 0.025 mM in the purified enzyme. Phosphorylated glycolytic intermediate concentration was also strongly dependent on [Mg2+]i and [MgATP], and glucose transport plus hexokinase may have been partially rate-determining at [Mg2+]i below ∼0.1 mM. The pentose phosphate shunt activity was too low to determine the dependence on [Mg2+]i. Phosphoglycerate kinase and 2,3-diphosphoglycerate mutase fluxes were also measured, but were not rate-limiting for glycolysis and showed no Mg2+ dependence. Human erythrocyte [Mg2+]i varies between 0.2 mM (oxygenated) and 0.6 mM (deoxygenated), well above the measured [Mg2+]i(1/2). It is unlikely, then, that [Mg2+]i plays a regulatory role in normal erythrocyte glycolysis.
A new social question? On minimum income protection in the postindustrial era

In A New Social Question? On Minimum Income Protection in the Postindustrial Era staat de vraag centraal of de overgang van een industriele naar een een post-industriele samenleving daadwerkelijk heeft geleid tot wat Pierre Rosanvallon ooit een 'Nieuwe Sociale Kwestie' noemde. We zouden vandaag immers geconfronteerd worden met sociale risico's en noden waarop de klassieke sociale zekerheidssystemen onmogelijk een bevredigend antwoord kunnen bieden. Een radicale herziening van het sociale stelstel lijkt onafwendbaar. In het 8e deel van de serie "http://www.aup. nl/changingwelfarestates">Changing Welfare States analyseert de auteur de impact van de economische veranderingen in de laatste decennia, op armoede en sociale zekerheid. Er is een bijzondere focus op de Bismarckiaanse welvaartsstaten zoals Nederland en Belgie in de laatste decennia. Met name voor beleidsmakers en studenten die zich bezighouden met de sociale zekerheid is dit boek een aanrader.
Dopamine Modulates Ih in a Motor Axon

We studied the axons of the pyloric dilator neurons in the stomatogastric nervous system of the lobster. The several-centimeters-long portions of these axons in the motor nerves depolarize in response to low concentrations of dopamine (DA) and exhibit peripheral spike initiation in the absence of centrally generated activity. This effect is inhibited by blockers of hyperpolarization-activated inward current (Ih). We show here that peripheral spike initiation was also elicited by D1-type receptor agonists and drugs that increase cAMP. This suggests that DA acts via a D1-type receptor mechanism to modulate hyperpolarization-activated cyclic nucleotide-gated channels. We used two-electrode voltage clamp of the axon to directly study the effect of DA on Ih. Surprisingly, DA decreased the maximal conductance. However, because of a shift of the activation curve to more depolarized potentials, and a change in the slope, conductance was increased at biologically relevant membrane potentials. These changes were solely caused by modulation of Ih, as DA had no discernible effect when Ih was blocked. In addition, they were not induced by repeated activation and could be mimicked by application of drugs that increase cAMP concentration. DA modulation of Ih persisted in the presence of a protein kinase A inhibitor and is therefore potentially mediated by a phosphorylation-independent direct effect of cAMP on the ion channel. A computer model of the axon showed that the changes in maximal conductance and voltage dependence were not qualitatively affected by space-clamp problems.
Emotion regulation choice: selecting between cognitive regulation strategies to control emotion

Consider the anger that arises in a heated argument with your romantic partner, or the dreadful anxious anticipation in the dentist's waiting room prior to a root canal procedure. Our daily lives are densely populated with events that make us emotional. Luckily, however, we developed numerous ways to control or regulate our emotions in order to adapt (Gross, 2007; Koole, 2009 for reviews). A central remaining challenge to explain adaptation, involves understanding how individuals choose between the different emotion regulation strategies in order to fit with differing situational demands. Specifically, when is the aforementioned romantic partner or dental patient more likely to “put aside” or disengage from the emotional situation, and when are they more likely to “make sense” or engage with their emotional reactions? In this opinion article we concentrate on the intersection between affective science and decision making as manifested in emotion regulation choice, defined as the act of making an autonomous choice between different regulation strategies that are available in a particular context.
Long-lasting Transient Conditions In Simulations With Heavy-tailed Workloads

Recent evidence suggests that some characteristics of computer and telecommunications systems may be well described using heavy tailed distributions — distributions whose tail declines like a power law, which means that the probability of extremely large observations is nonnegligible. For example, such distributions have been found to describe the lengths of bursts in network traffic and the sizes of files in some systems. As a result, system designers are increasingly interested in employing heavy-tailed distributions in simulation workloads. Unfortunately, these distributions have properties considerably different from the kinds of distributions more commonly used in simulations; these properties make simulation stability hard to achieve. In this paper we explore the difficulty of achieving stability in such simulations, using tools from the theory of stable distributions. We show that such simulations exhibit two characteristics related to stability: slow convergence to steady state, and high variability at steady state. As a result, we argue that such simulations must be treated as effectively always in a transient condition. One way to address this problem is to introduce the notion of time scale as a parameter of the simulation, and we discuss methods for simulating such systems while explicitly incorporating time scale as a parameter.
Ping-Pong Avoidance Algorithm for Vertical Handover in Wireless Overlay Networks

In this paper, we propose a ping-pong avoidance algorithm capable of effectively alleviating the unnecessary vertical handovers between 3G cellular and WLAN hotspots. The proposed algorithm determine the appropriate time at which a terminal should initiate a handover. It can be classified into two major schemes: One is designed to separate the single vertical handover threshold; the other to estimate the transition of the beacon signal strengths received by the terminal from WLAN hotspots on the basis of the least square approach. The aim of this study is to prevent such performance degradations as the increase of the service interruption time which follows unnecessary vertical handovers.
Dependency-aware quality-differentiated wireless video multicast

Video multicast exploits the wireless broadcast nature to transmit a video stream to multiple clients with a minimum bandwidth requirement. Assigning a suitable transmission bit-rate to each scalable coded block in a video stream is however a challenging problem because clients in a wireless network have heterogeneous channel quality and experience different packet loss probability. Prior work attempts to transmit the base-layer stream at a low transmission bit-rate to ensure a high reception probability, and hence the basic visual quality. Such methods however are over-simplified for a video stream that supports multiple quality levels in a video frame and needs explicit rate assignment for each block. We propose in this paper a dependency-aware rate scheduling scheme that assigns each block a rate according to dependency between blocks. With consideration of block dependency, we can better utilize limited wireless bandwidth to deliver important blocks, and minimize the number of undecodable blocks due to the loss of their reference blocks at the receivers. The simulation results show that since our scheme reduces the number of undecodable blocks, it achieves a higher overall video quality for a multicast group than the existing schemes under different client distributions.
Recovery of neuronal and network excitability after spinal cord injury and implications for spasticity

The state of areflexia and muscle weakness that immediately follows a spinal cord injury (SCI) is gradually replaced by the recovery of neuronal and network excitability, leading to both improvements in residual motor function and the development of spasticity. In this review we summarize recent animal and human studies that describe how motoneurons and their activation by sensory pathways become hyperexcitable to compensate for the reduction of functional activation of the spinal cord and the eventual impact on the muscle. Specifically, decreases in the inhibitory control of sensory transmission and increases in intrinsic motoneuron excitability are described. We present the idea that replacing lost patterned activation of the spinal cord by activating synaptic inputs via assisted movements, pharmacology or electrical stimulation may help to recover lost spinal inhibition. This may lead to a reduction of uncontrolled activation of the spinal cord and thus, improve its controlled activation by synaptic inputs to ultimately normalize circuit function. Increasing the excitation of the spinal cord with spared descending and/or peripheral inputs by facilitating movement, instead of suppressing it pharmacologically, may provide the best avenue to improve residual motor function and manage spasticity after SCI.
Identity and Educational Choice: A Behavioral Approach

It is puzzling that socioeconomic background greatly affects educational choice. Distinguished from the explanations based on expected utility theory, this paper attempts to explore the psychological mechanisms of generating educational identity1 and schooling choice. It offers a self-signaling model where (1) it incorporates self-esteem concerns into the agent’s payoff function, (2) the investment in schooling not only signals her cognitive ability but also brings the agent into cognitive dissonance and reduction when the perceptions of ability are time-dependent. Using this model, I show a more discriminating analysis of educational choice which combines multi-dimensional factors including socioeconomic background, cognitive and non-cognitive abilities. I identify the conditions under which the high ability agent fails to invest in education. The quality of school and the preschooling are key variables. The model suggests that public policy can help poor children by improving both the early and later education quality at school.
A 1-V high-gain two-stage self-cascode operational transconductance amplifier

This paper presents design of two-stage operational transconductance amplifier (OTA) using self-cascode MOSFET to achieve high gain with a low-supply voltage. To improve the gain of OTA a positive feedback is created by cross coupling the bulk terminals of the input stage load transistors. The proposed design is implemented in a standard 65 nm CMOS process with a supply voltage of 1 V. The designed self-cascode OTA affords a DC gain of 78 dB, unity gain frequency of 191 MHz and a phase margin of 63.5° with a small process, voltage, temperature (PVT) variations.
The interaction of ellipticine derivatives with nucleic acids studied by optical and 1H‐nmr spectroscopy: Effect of size of the heterocyclic ring system

The DNA interaction of derivatives of ellipticine with heterocyclic ring systems with three, four, or five rings and a dimethylaminoethyl side chain was studied. Optical spectroscopy of drug complexes with calf thymus DNA, poly [(dA‐dT) · (dA‐dT)], or poly [(dG‐dC) · (dG‐dC)] showed a 10 nm bathochromic shift of the light absorption bands of the pentacyclic and tetracyclic compounds upon binding to the nucleic acids, which indicates binding by intercalation. For the tricyclic compound a smaller shift of 1–3 nm was observed upon binding to the nucleic acids.
Psychosis and Spirituality Revisited: The Frontier is Opening up!

The first edition of this book began by observing that the connection between spirituality and psychosis was not new or surprising. Anyone familiar with the recurring themes of psychosis would recognise religious pre-occupations as commonplace. Similarly, psychotic experience could be said to lie outside the domain of logical discourse and many would say the same of religious belief. Rather it was the way in which psychosis and spirituality had been kept so distinct that demanded explanation. The ‘New Frontier’ referred to in the title was explained as the breaking through into an area beyond the efforts to draw distinction between psychosis and spirituality, and an exploration of the creative possibilities that this vista revealed. The challenge lay in linking the highest realms of human consciousness and the depths of madness. It was recognised that this challenge would feel uncomfortable to many. It required a rethinking of the nature of both psychosis and spirituality. I argued then that the psychological research, accounts from marginalised areas of discourse (such as the cross-cultural and anthropological perspectives) and data frompersonal experience brought together in the chapters of that volume demanded that this challenging new perspective be taken seriously. That edition came out in 2001, but thematerial was essentially gathered in 1999. In the intervening 10 years, this perspective has emerged from the shadows into the light in a way that makes any special pleading about the need for a second edition of this book redundant. Instead, I will sketch in someof the developments that I amaware of that have contributed to this change of intellectual climate, and then trace the part played by the process that was started by the first edition of this book. That process began with conferences arising out of the book itself, and has ultimately contributed to the founding of a Spiritual Crisis Network in the United Kingdom.
Neurotransmitters : Their Role in the Body

Objectives By the end of this educational encounter, the clinician will be able to: 1. Understand how nerve impulses travel along neural pathways 2. Identify common neurotransmitters and their effect in the body 3. Explain the effect of altered concentrations of specific neurotransmitters upon the system. The purpose of this course is to give an overview of the neurotransmitter system of the human body and increase understanding about how altered neurotransmitter concentrations affect various body organs.
Interactive Control of Diverse Complex Characters with Neural Networks

We present a method for training recurrent neural networks to act as near-optimal feedback controllers. It is able to generate stable and realistic behaviors for a range of dynamical systems and tasks - swimming, flying, biped and quadruped walking with different body morphologies. It does not require motion capture or task-specific features or state machines. The controller is a neural network, having a large number of feed-forward units that learn elaborate state-action mappings, and a small number of recurrent units that implement memory states beyond the physical system state. The action generated by the network is defined as velocity. Thus the network is not learning a control policy, but rather the dynamics under an implicit policy. Essential features of the method include interleaving supervised learning with trajectory optimization, injecting noise during training, training for unexpected changes in the task specification, and using the trajectory optimizer to obtain optimal feedback gains in addition to optimal actions.