Miracle-dz/UniFAR-FTUs huggingface dataset:
Network Architecture Design for Wireless Sensor Nodes

: Wireless Sensor Networks (WSNs) provide a new paradigm for sensing and disseminating information from various environments, with the potential to serve many and diverse applications. Current WSNs typically communicate directly with a centralized controller or satellite. On the other hand, a smart WSN consists of a number of sensors spread across a geographical area; each sensor has wireless communication capability and sufficient intelligence for signal processing and networking of the data. The key challenge in setting up and proper operation of WSN is to increase the life span of the network by optimizing the energy consumption. A sensor node is battery-operated. Thus; lifetime of a sensor node depends unequivocally on the battery life time, particularly where no power source recharging is conceivable in a few requisitions situations. Since the principle goals of sensor nodes are sensing/gathering events, information handling, and information transmission through routing; then the force asset might be separated among these three operations (sensing, computation, and communications). On the other hand; lifetime of a sensor node plays a key role on energy effectiveness and strength of sensor node. Therefore; numerous investigates are concentrating on planning power-aware protocols and calculations for WSNs with the objective of minimization of vitality use.
Neural Networks and Instance-Based Learning for the Prediction of Stellar Atmospheric Parameters

In this paper we show how machine learning methods can be effectively applied to the problem of automatically predicting stellar atmospheric parameters from spectral information, a very important problem in stellar astronomy. We apply feedforward neural networks, Kohonen’s selforganizing maps and locally-weighted regression to predict the stellar atmospheric parameters effective tempera ture, surface gravity and metallicity from spectral indice s. Our experimental results show that the three methods are capable of predicting the parameters with very good accuracy. Locally weighted regression gives slightly better results than the other methods using the original dataset as input, while self-organizing maps outperform the other methods when significant amounts of noise are added. We also implemented a heterogeneous ensemble of predictors, combining the results given by the three algorithms. This ensemble yields better results than any of the three algorithms alone, using both the original and the noisy data.
SUSTAINABILITY OF WAYANG KULIT AND MAIN PUTERI CULTURAL PERFORMANCES AMONG THE MALAY SOCIETY IN EASTERN PENINSULAR MALAYSIA

Wayang Kulit and Main Puteri are among the Malay cultural performances that are still actively being performed in various parts of Malaysia. Although this performance is a part of Malay culture, this art form is also appreciated by the non-Malay society, especially those residing in the east coast of Peninsular Malaysia. According to Jabatan Kebudayaan Negeri Kelantan (the National Department of Culture and Arts, Kelantan) (2011), only two of the eleven registered groups of wayang kulit are still actively performing. A similar situation is happening with main puteri, where challenges are faced in sustaining interest in this traditional art form among the younger generation. Both individually and in groups, those involved in these art forms are striving to ensure that the traditional performances are preserved and do not become extinct due to modernity. Therefore this study focuses on the factors that influence how this art form is able to survive until today. The study was carried out on two wayang kulit groups named Kumpulan Sri Campuran and Kumpulan Suara Emas, and one main puteri group named Kumpulan Seni Warisan Melayu, all of which are still actively performing in Kelantan and Terengganu today. Interviews and participative observations were the two main techniques carried out to collect data used in this study. The study found that the existence of strong influences from popular culture affected how frequently this group gets to perform. However, there are several factors that continue to drive these groups to stay active in performing and preserving this traditional art form for the future generation, which will be discussed further in this paper. These include demand from society, government policies, government programs, the influential people who are also actively participating in these traditional performances and demand for them for medical and healing purposes.
A Taxonomy for Visualisations of Personal Physical Activity Data on Self-Tracking Devices and their Applications

Self-tracking devices and apps have been widely used for personal data collection, with particular focus on health and physical activity (PA) monitoring. Despite their pervasive use, data representation and data sharing on these devices and apps are still in their infancy. With the aim of contributing towards structuring the design space of personal health visualisation, we present an overview focused on visualisation methods and the typology of tracked data in the most popular health and PA tracking devices and their companion apps/dashboards. Our research method of data collection is based not only on a review of scientific literature in the field, but also on autoethnography, information collected from manufacturers' websites and user manuals as well as online communities and reviews. We then discuss the major issues and limitations users face with regards to health and PA data interpretation and sharing.
The influence of early thrombolysis on C-reactive protein values and functional outcome after acute ischemic stroke

The aim of the study was to evaluate the effectiveness of early thrombolysis of patients after acute ischemic stroke on C-reactive protein (CRP) values and functional improvement. From 62 patients with acute ischemic stroke that were evaluated, 32 received thrombolytic therapy (Group A), and 30 were without thrombolytic therapy (Group B). Degree of the neurological deficit was evaluated by the functional independence measure (FIM) test at the admission and after early rehabilitation program (14 days after admission). We found significant increase in FIM values (p<0.01) and significant decrease for CRP values (p<0.01) after early rehabilitation program. Concerning thrombolytic therapy administration, there is significant correlation between FIM values (p<0.01) and between CRP values (p<0.01) at admission and after 14 days in both group of patients. The group that received thrombolytic therapy after early rehabilitation program showed significant negative correlation between FIM and CRP values (p<0.05). Our study pointed out that thrombolytic therapy applied according to the protocol for the acute ischemic stroke in the stroke unit might increase better functional recovery of these patients.
IMF Conditionality, Government Partisanship, and the Progress of Economic Reforms

The International Monetary Fund (IMF) often seeks to influence countries' domestic public policy via varying levels of conditionality—linking financial support to borrowing governments' commitment to policy reforms. When does extensive conditionality encourage domestic economic reforms and when does it impede them? We argue that, rather than universally benefiting or harming reforms, the effects of stricter IMF conditionality depend on domestic partisan politics. More IMF conditions can pressure left-wing governments into undertaking more ambitious reforms with little resistance from partisan rivals on the right; under right governments, however, more conditions hinder reform implementation by heightening resistance from the left while simultaneously reducing leaders' ability to win their support through concessions or compromise. Using data on post-communist IMF programs for the period 1994–2010, we find robust evidence supporting these claims, even after addressing the endogeneity of IMF programs via instrumental variables analysis.
Gene expression pro fi les in intracranial aneurysms

In this study, we extracted total RNA from 15 intracranial aneurysms and 17 superficial temporal artery samples, then performed genome-wide expression profiling using the Affymetrix U133 Plus 2.0 GeneChip. Genes that were differentially expressed between intracranial aneurysms and arterial samples were identified using significance analysis for microarrays, and the expression patterns of three randomly-selected genes were verified by real-time polymerase chain reaction analysis. We identifi ed 3 736 differentially-expressed genes out of the 47 000 assayed transcripts. A total of 179 genes showed a >10-fold change in expression between the aneurysms and the arterial samples. Genes involved in the proliferation, migration, and apoptosis of vascular muscle cells, atherosclerosis, extracellular matrix disruption, and inflammatory reactions were associated with the formation of intracranial aneurysms. There were no significant differences in gene expression profile between unruptured and ruptured aneurysms.
The pronominal coding of the patient in reflexive indefinite agent constructions in Peninsular Spanish

This paper is concerned with the pronominalization of the patient in reflexive passives and reflexive impersonals in Peninsular Spanish. It is commonly agreed that only human patients can pronominalize in these contexts in Standard Peninsular Spanish. However, some varieties show full pronominalization of non-human patients. This paper aims to describe the geographical distribution of this pronominalization in Peninsular Spanish, together with the evolution of this phenomenon. Dialectal data allow describing the evolution of linguistic phenomena by means of investigating their geographical spreading in different contexts. The data contained in this paper show that the pronominalization of the patient in reflexive indefinite agent constructions (namely, reflexive passives and reflexive impersonals) is related to the animacy hierarchy, connecting this phenomenon with the more general category of agreement.
Two Millennia of South Atlantic Convergence Zone Variability Reconstructed From Isotopic Proxies

Most reconstructions of the South American Monsoon System (SAMS) over the last two millennia are based on δ18O records from locations at high‐elevation sites in the Andes, which are not influenced by the South Atlantic Convergence Zone (SACZ). Yet the SACZ is a key driver of SAMS variability over much of Brazil. Here we use two new δ18O records from speleothems sampled in the central and southwestern portions of the SACZ core to show that the SAMS was not varying in phase over the entire tropical continent during the last two millennia. In fact, speleothem records located to the northeast of the SACZ record precipitation variations that are antiphased with similar records on the opposite side of the SACZ, in particular during the Little Ice Age period, while records close to the core of the SACZ axis show no significant departure from the mean state during this period.
Improving the hot-spot pressure and demonstrating ignition hydrodynamic equivalence in cryogenic deuterium–tritium implosions on OMEGAa)

Reaching ignition in direct-drive (DD) inertial confinement fusion implosions requires achieving central pressures in excess of 100 Gbar. The OMEGA laser system [T. R. Boehly et al., Opt. Commun. 133, 495 (1997)] is used to study the physics of implosions that are hydrodynamically equivalent to the ignition designs on the National Ignition Facility (NIF) [J. A. Paisner et al., Laser Focus World 30, 75 (1994)]. It is shown that the highest hot-spot pressures (up to 40 Gbar) are achieved in target designs with a fuel adiabat of α ≃ 4, an implosion velocity of 3.8 × 107 cm/s, and a laser intensity of ∼1015 W/cm2. These moderate-adiabat implosions are well understood using two-dimensional hydrocode simulations. The performance of lower-adiabat implosions is significantly degraded relative to code predictions, a common feature between DD implosions on OMEGA and indirect-drive cryogenic implosions on the NIF. Simplified theoretical models are developed to gain physical understanding of the implosion dynamics th.
Resilience of SIP against ML-based attacks

Software is (among others) susceptible to code manipulation/tampering attacks from attackers who have full control over the execution environment (Man-at-the-End) [1]. Against such attacks there exist a multitude of integrity protection (tamper-proofing) techniques. These techniques rely on code instrumentation to inject protection routines/guards into programs. However, code instrumentation leaves recognizable patterns in the protected binaries that could potentially single out protection routines [2]. To mitigate pattern-based attacks, we inevitably have to utilize diversification obfuscation [3] on protection guards. How effectively such diversified guards can counter pattern-based attacks is questionable.
Aggregate Implications of Heterogeneous Households in a Sticky-Price Model

This paper analyzes the role of heterogeneous households in propagating shocks over the business cycle by generalizing a basic sticky-price model to allow for imperfect risk-sharing between households that differ in labor incomes. I show that imperfectly insured household consumption distorts household incentive to supply labor hours through an idiosyncratic income effect, which in turn generates strategic complementarities in price setting and thus amplifies business cycle fluctuations. This mechanism diminishes the role of nominal rigidities and makes sticky-price models more consistent with microeconomic evidence on the frequency of price changes.
Leveraging Knowledge Graph for Open-Domain Question Answering

Rich and comprehensive knowledge graphs (KG) of the Web, such as, Google KG, NELL, and Diffbot KG, are becoming increasingly prevalent and powerful as the underlying AI technology is rapidly progressing. In this work, we leverage this ongoing advancement for the task of answering questions posed from any domain and any type (factoid and non-factoid). We present a framework for knowledge graph based question answering systems, KGQA, and experiment with an instance of this framework that employs Diffbot KG. The unique features offered by KGs, such as, rapid query response time, connections between related graph objects, and structured information, are used to design a QA system that is effective and efficient.
N Mineralization Potential Under Different Land Uses in Tutunculer in Artvin, Turkey

This study was conducted to investigate mineralization potensial of different land uses in the area of Tutunculer in Artvin in 2011. For this purposes, soil samples were taken from surface 0-15 cm depth in young scothpine stands, scothpine and spruce stand and adjacent grassland sites with similar parent material, slope and aspect. Samples were subjected to standard incubition technique in labratory conditions (60% MSK and 25 0 C). Mineralization rate different significantly among sites. Nitrification rate higher in grassland sites compared to other sides (149.46 N kg/ha 63 day -1 ) . Normal 0 false false false TR X-NONE X-NONE
Unsupervised Big name Confront Naming with HOG Scheme

These days character distinguishing proof from well known web recordings is exceptionally testing assignment because of enormous variety in the approach of every last individual or big name in the web recordings . In this paper exploring the issue of missing tag or mark identification in unconstrained recordings with client made Metadata. Rather than depending on administered taking in, a superior relationship produced using picture space and esteem content. Those connections for the most part incorporate spatialtransient setting and visual likenesses. Also, the learning base incorporates feebly labeled pictures alongside set of names and big name informal communities. Converging of reasonable association with learning base is done through contingent arbitrary field. The proposed framework gives three sorts of relationship sets, Face to Face, Name to Name and Face to Name. The new approach present here, which can experience the nearest association with right element or faces in web recordings, along these lines diminish missing label issue with VIP confront recognizable proof to a perfect degree
Does self-regulation mediate the relationship between locus of control and resiliency related outcomes?

Locus of control (LOC) has been implicated in predicting mental wellbeing outcomes in a variety of theories and empirical studies, however the mediating mechanisms between the trait and mental wellbeing are not well known. The King and Rothstein (2010) model of resiliency posits self-regulation as the active mechanism that leads to recovery in resiliency related outcomes following significant adversity. This study investigated the mediating role of affective, behavioral, and cognitive self-regulation between locus of control, depression, and anxiety using mediation analysis. The results showed LOC significantly predicted all three self-regulation components, as well both depression and anxiety. behavioral and cognitive self-regulation were found to significantly predict depression and anxiety, suggesting partial mediation for both, but not affective regulation. Results and implications for the resiliency process are then discussed, including the role of self-regulation in recovering from adversity.
Climate change and lakes: Estimating sensitivities of water and carbon budgets

[1] As humanity develops strategies to manage and adapt to climate change, potential changes to carbon cycles are of increasing interest. The potential sensitivity of carbon sources and sinks in lakes may be of global importance, yet the direction and magnitude of possible changes are poorly understood across entire lake-rich regions. We used a spatially explicit simulation model of water and carbon cycling to explore the potential behavior of 6739 lakes and watersheds to changes in climate. Our study site was the Northern Highland Lake District of northern Wisconsin and the Upper Peninsula of Michigan. We developed two perturbation scenarios built from observed extreme high and low precipitation and evaporation values. Despite a spatially uniform change in precipitation across the region, individual lakes responded differently. Hydrologic responses were mostly predictable at both individual and regional scales, but the routing of carbon in lakes was both more sensitive and varied. We estimate that in today’s climate, 7.3E+10 g of carbon are vented annually from lake surfaces in the District to the atmosphere. Compared to today’s climate, total regional flux of carbon from lake surfaces was 31% higher in the wet scenario and 45% lower in the dry scenario. Some measures of carbon fluxes (such as net ecosystem production) appear to change uniformly and gradually at the regional scale, though aggregate change was driven primarily by considerable changes in relatively few large lakes. The simulations demonstrate that simple, spatially homogeneous perturbations in these complex connected watersheds can have both predictable and surprising effects.
Explaining International Variations in Self-Employment: Evidence from a Panel of OECD Countries

Organisation for Economic Cooperation and Development (OECD) data from 1972 to 1996 reveals substantial differences in the levels and trends of self-employment rates across countries. This article uses recently developed panel integration and cointegration techniques to explore the determinants of aggregate self-employment rates. We find that within the panel, self-employment rates are positively and significantly related to personal income tax rates and negatively and significantly related to the unemployment benefit replacement rate. This accords a central role to government tax and transfer policies, in contrast to nonrobust influences from macroeconomic variables, which have been widely used in previous studies.
Effects of caffeine on cognitive and autonomic measures in heavy and light caffeine consumers

Caffeine effects on arousal and cognition were assessed in relation to habitual caffeine intake. After drinking either decaffeinated coffee or decaffeinated coffee plus 300 mg caffeine, 22 heavy caffeine consumers (HCCs) and 26 light caffeine consumers (LCCs) were examined on various cognitive, autonomic, and anxiety measures. In LCCs only, caffeine significantly improved performance of the Wisconsin Card Sorting Test, and significantly increased state anxiety scores. Caffeine significantly increased spontaneous skin conductance responses in HCCs and LCCs alike. The HCCs and LCCs did not differ on measures of trait anxiety or neuroticism. Results are discussed in terms of the cognitive enhancing and nonspecific arousing effects of caffeine in relation to caffeine tolerance.
Occurrence of bacteria species responsible for vibriosis in shrimp pond culture systems in Sri Lanka and assessment of the suitable control measures

Shrimp culture in Sri Lanka is continuously affected by bacterial infections and most symptoms agree with the disease called vibriosis. Therefore a bacteriological study was undertaken in shrimp farms to identify the diversity of pathogenic Vibrio species, favorable environmental conditions for them and sensitivity to antibiotics to control them. Water and infected animals from shrimp farms of the Western and North Western provinces were screened for Vibrio . Conventional methods were used for presumptive identification of isolated bacteria. Water quality was analyzed by spectophotometric methods. Disk diffusion technique was used to evaluate antibiotic sensitivity. During the study, 40 bacteria isolates belonging to the family Vibrionaceae were recorded. Of those, 24 isolates belonged to Vibrio species which are responsible for vibriosis in shrimps. Those were Vibrio alginolyticus , V. parahaemolyticus , V. damsela , and V. anguillarum . Most frequently isolated species was V. parahaemolyticus . All Vibrio isolates were found to be resistant to Ampicillin, Gentamycin, Oxytetracyclin, Chloramphenicol, Trimethoprim and Kanamicin, which are commonly used antibiotics in aquaculture. Water quality conditions indicated that the alkaline pH conditions and high salinity and ammonia levels favour the occurrence of high vibrio counts. Results indicate that the application of antibiotics for the control of vibriosis in shrimp farms has limited effectiveness due to the development of resistant bacterial strains and environmental management is the best management intervention that can be used to control this disease.
Coherent metropolis light transport on the GPU using speculative mutations

The Metropolis Light Transport algorithm generates physically based images with superior image quality than classical ray tracing. Although it is trivially parallelizable on GPUs by running N MLTs, the performance on current graphics hardware is below par. One of the main problems is the set of incoherent paths due to the independent Markov chains. Since each MLT generates full paths and mutates them sequentially, we construct totally incoherent rays which in negatively affects the performance on the GPU. By using a novel speculative variant of the Metropolis algorithm we increase the similarity of paths and achieve higher coherence. This decreases the computation time significantly. Further, we improve memory access by optimizing the data layout to better utilize coalesced access.