Miracle-dz/UniFAR-FTUs huggingface dataset:
Multicentennial Agulhas leakage variability and links to North Atlantic climate during the past 80,000 years

New high resolution sea surface temperature (SST) and sea surface salinity (SSS) estimates are presented from the Agulhas Bank slope in the Atlantic sector of the Agulhas Corridor using planktic foraminiferal (Globigerinoides ruber) δ18O and Mg/Ca derived SST. By focusing on the last 80,000 years this is the first fine-scale Agulhas leakage record that overlaps in time with much of the Greenland ice core record of abrupt climate changes in the North Atlantic region. The multi-centennial profiles indicate instances of warm SST and/or increased SSS coincident with Northern Hemisphere cool periods, followed by Northern Hemisphere warming. These periods of enhanced SST and SSS in the Agulhas Corridor occur at the last glacial termination (T1) and during North Atlantic cold episodes associated with Heinrich (H) meltwater events. To a first-order approximation, the timing of maximal salinity events in relation to periods of North Atlantic freshwater perturbation is consistent with the concept suggested by climate models that enhanced Agulhas leakage provides for buoyancy compensation and can potentially trigger increased convective activity in the North Atlantic, thereby restoring Atlantic overturning circulation after relatively weak states.
Federally-Funded Community Mental Health Centers and Suicide

This paper analyzes the effect of the Federally Funded Community Mental Health Center (CMHC) Act of 1963 on county-level suicides. The passage and enactment of the CMHC Act came at a time when mental health treatment in the U.S. was experiencing a transition away from large mental hospitals and towards community-level treatment. Using data on when and where federally funded CMHCs were established, this paper finds that the presence of operating centers is associated with a reduction in suicides by 2.5 percent. Strongest effects are found for males aged 15 to 34 and males over 65 which experienced 4.5 percent and 5.4 percent fewer suicides when there was an operating CMHC in a county, respectively. This study presents empirical evidence suggesting that operational CMHCs and the services they provided increased the availability and utilization of treatment for mental illness, leading to fewer male suicides than there would have been without the centers. JEL Codes: I10, I18, I19
Neural-Network Quantum States, String-Bond States, and Chiral Topological States

Neural-Network Quantum States have been recently introduced as an Ansatz for describing the wave function of quantum many-body systems. We show that there are strong connections between Neural-Network Quantum States in the form of Restricted Boltzmann Machines and some classes of Tensor-Network states in arbitrary dimensions. In particular we demonstrate that short-range Restricted Boltzmann Machines are Entangled Plaquette States, while fully connected Restricted Boltzmann Machines are String-Bond States with a nonlocal geometry and low bond dimension. These results shed light on the underlying architecture of Restricted Boltzmann Machines and their efficiency at representing many-body quantum states. String-Bond States also provide a generic way of enhancing the power of Neural-Network Quantum States and a natural generalization to systems with larger local Hilbert space. We compare the advantages and drawbacks of these different classes of states and present a method to combine them together. This allows us to benefit from both the entanglement structure of Tensor Networks and the efficiency of Neural-Network Quantum States into a single Ansatz capable of targeting the wave function of strongly correlated systems. While it remains a challenge to describe states with chiral topological order using traditional Tensor Networks, we show that Neural-Network Quantum States and their String-Bond States extension can describe a lattice Fractional Quantum Hall state exactly. In addition, we provide numerical evidence that Neural-Network Quantum States can approximate a chiral spin liquid with better accuracy than Entangled Plaquette States and local String-Bond States. Our results demonstrate the efficiency of neural networks to describe complex quantum wave functions and pave the way towards the use of String-Bond States as a tool in more traditional machine-learning applications.
Phenolic Compounds and Antioxidant Activity from Saffron (Crocus sativus L.) Petal

Saffron petal is the main by-product of saffron processing which is producing in large amounts annually. The purposes of this work were to determine total phenolics content in the methanolic extract of saffron petal using Folin-ciocalteu reagent and to measure their antioxidant activity in various in vitro models, such as ? -carotene-linoleate and 1,1-diphenyl-2-picryl hydrazyl (DPPH). Saffron petal extract in different concentrations (0.5-5 mg ml-1) were compared with standard antioxidants of ascorbic acid, ? -tocopherol and TBHQ (0.5-1 mg ml-1). Total phenolics content was 3.42 mg gallic acid/g dry weight. In model systems of beta-carotene-linoleate and DPPH, the extract at 500 ppm concentration showed 91.4% and 74.2% antioxidant activity which was comparable with that of TBHQ (93.1% and 77.9%) at 100 ppm. The results showed that saffron petal could be considered as a bioresource of phenolic compounds with high antioxidant activity.
Resolving multiple supermassive black hole binaries with pulsar timing arrays II: genetic algorithm implementation

Pulsar timing arrays might detect gravitational waves from massive black hole binaries within this decade. The signal is expected to be an incoherent superposition of several nearly monochromatic waves of different strengths. The brightest sources might be individually resolved, and the overall deconvolved, at least partially, in their individual components. In this paper we extend the maximum-likelihood-based method developed in Babak and Sesana [Phys. Rev. D 85, 044034 (2012)] to search for individual massive black hole binaries in pulsar timing array data. We model the signal as a collection of circular monochromatic binaries, each characterized by three free parameters: two angles defining the sky location and the frequency. We marginalize over all other source parameters, and we apply an efficient multisearch genetic algorithm to maximize the likelihood function and look for sources in synthetic data sets. On data sets characterized by white Gaussian noise plus few injected sources with signal-to-noise ratio in the range 10–60, our search algorithm performs well, recovering all the injections with no false positives. Individual source signal-to-noise ratios are estimated within a few percent of the injected values, sky locations are recovered within a few degrees, and frequencies are determined with sub-Fourier-bin precision.
Negative Brand Names

Abstract We hear more and more often that positive things make our life more beautiful and make us more optimistic. But is it really true? If until a few years ago, the products had usual names, now it is desired for them to have a catchy name that would remain in the memory of the target audience. In this research I have analysed the attitude that young people have towards energy drinks with negative brand names, the impact of these energy drinks on them and also the influence they have on the decisional act of purchase. Among secondary objectives was the establishment of the notoriety of energy drinks that have negative names in the case of young people. Another secondary objective consisted in the comparative analysis of the impact that energy drinks with negative names have on men and women. Also, for the determination of the attitude that young people have towards energy drinks with negative names, it was necessary to get one at the time the feelings, the conviction offered by these energizers and also the intent of buying them among young people.
Generalization of learned predator recognition in coral reef ecosystems: how cautious are damselfish?

Summary Learned predator recognition provides animals with an adaptive mechanism to rapidly adapt to current levels of predation risk. Prey may be able to reduce the cost associated with learning if they can use information learned about known predators to respond to cues from closely related predators with which they are unfamiliar. The capacity of prey to generalize recognition and distinguish between novel predators and non-predators is poorly understood, particularly in species-diverse communities with many closely related predators and non-predators. Lemon damselfish, Pomacentrus moluccensis, conditioned to recognize the odour of a predatory moon wrasse, Thalassoma lunare, as a risky stimulus, were subsequently tested for their response to T. lunare and a range of closely related predators and non-predators from within the Labridae family, a distantly related non-predator and a saltwater control. Pomacentrus moluccensis displayed antipredator responses not only to T. lunare odour, but also generalized their recognition to congeneric T. amblycephalum and T. hardwicke odours. Recognition was not extended to other species within (Labridae; Coris batuensis and Halichoeres melanurus) or beyond (Pseudochromidae; Pseudochromis fuscus) the family. Individuals could not distinguish between the predator T. hardwicke and non-predator T. amblycephalum when generalizing their recognition to congeneric species based on chemosensory assessment alone. Our results demonstrate that reef fishes may limit their generalization to congeneric species only, and may be unable to distinguish between predators and non-predators using chemosensory cues. Recognition patterns may result from uncertainties in predicting the identities of predators in species-diverse communities.
Wise-pattern Skin Reducing and Nipple-Sparing Mastectomy Using Modified McKissock ’ s Vertical Bi-pedicle Dermal Flap in Large Breasted Patients for Immediate Reconstruction and Revision Cases

The safety of nipple-sparing mastectomy has been adequately validated and increasing number of patients opt for mastectomy with immediate reconstruction in early breast cancer or risk-reducing mastectomy. In large breasted women, down-sizing the breast skin envelope can be challenging, particularly when nipple preservation is desired. A bi-pedicle nipple-sparing mastectomy using the modified Letterman technique has been previously described. This technique combines the McKissock’s vertical bi-pedicle dermal flap and the Wise-pattern skin-reducing mastectomy, to achieve the desired skin envelope in large breasted patients. There is minimal scarring on the breast mound, particularly within the social triangle or décolletage. The vertical bi-pedicle dermal flap ensure good vascularity to the nipple and protects the underlying implant from the skin incision. This versatile technique translates the principles of breast reduction and nipple-sparing mastectomy to help achieve smaller reconstruction for large breasted women and has been previously described with 2-stage Tissue-expander reconstruction. Use of this technique in patients undergoing mastectomy with immediate implant reconstruction or autologous lateral chest wall perforator flaps, including revision cases by a single Oncoplastic Breast Surgeon is described. Despite the small number of cases, there were very few complications with high rates of patient satisfaction and without any implant loss.
The Integrated Size and Price Optimization Problem August 6 , 2012

We present the Integrated Size and Price Optimization Problem (ISPO) for a fashion discounter with many branches. Based on a two-stage stochastic programming model with recourse, we develop an exact algorithm and a production-compliant heuristic that produces small optimality gaps. In a field study we show that a distribution of supply over branches and sizes based on ISPO solutions is significantly better than a one-stage optimization of the distribution ignoring the possibility of optimal pricing. 2000 Mathematics Subject Classification: Primary: 90B90, Secondary: 90B05
Analysis of managerial innovation flow on the small and medium it sized enterprises

The purpose of this paper is to develop a diagram flow of strategic decisions on small and medium-sized high-tech enterprises and explains how it can be used to transform a innovate idea into a competitive output in the market. These enterprises are characterized, by their ability to create value, employ highly skilled workers, and use high technology in their internal processes. These firms face some problems like weak strategies of IT management and limited human and financial resources. The approach suggested in this paper offers small and medium-sized firms an opportunity to innovate or create newer outputs and increase the competitive effectively with others companies. Additionally, this paper can be used as a guide to building innovation as strategic competitiveness on the small and medium IT sized enterprises, denoted SMET at this paper.
THE EFFECT OF SOLID LIPID NANOPARTICLES ON TAMOXIFEN-RESISTANT BREAST CANCER CELLS

To overcome the acquired Tamoxifen (Tam) resistance in Tam-resistant breast cancer cells without damaging normal cells, we have examined the therapeutic efficacy of Tam-loaded solid lipid nanoparticles (SLNs). Tam-loaded SLNs were produced by hot homogenization method. After characterization, in vitro cytotoxic and apoptotic activity of Tam-SLNs were evaluated in MCF7, MCF7-TamR (Tam-resistant breast cancer cells) and MCF10A cells. Tam-SLNs had an average size nearly 300 nm and a zeta potential of approximately-40 mV. In vitro cytotoxicity results showed that Tam-SLNs indicated the cytotoxic and apoptotic activity on MCF7 and MCF7-TamR cells. We found that MCF7-TamR cell viability was also suppressed significantly by Tam-SLNs and thus, Tam-SLNs could delay and overcome Tam-resistance (p<0.05). Furthermore, the Tam-SLNs did not induce apoptosis on MCF10A control cells. The lowest MCF10A cell viability was 83.0% whereas MCF7 and MCF7-TamR (R↔ and R↑) cells viability are reduced to 21.98%, 27.5% and 29.4% at 10 µM of Tam-SLNs, respectively (p<0.05). The obtained results were supported by apoptosis assays. SLNs-delivery system provided therapeutic efficacy to overcome Tam-resistance thanks to unique features of SLNs including small size, drug accumulation in the tumor site and controlled drug release. Therefore, Tam-SLNs may have therapeutic potential for the treatment of TAM-resistant breast cancer.
Generation of Plausible Hurricane Tracks for Preparedness Exercises

Under the National Hurricane Program, MIT Lincoln Laboratory is developing HURREVAC eXtended (HVX), which is replacing the legacy evacuation decision-support tool HURREVAC. The platform is designed to enable emergency managers (EMs) make accurate and timely evacuation decisions for their community by providing planning, situation awareness, data analytics, and training tools in a Web browser. HVX provides the novel capability to simulate storm tracks in a Web application with minimal user input or meteorological expertise. This capability will allow EMs to train more frequently and inexpensively, simulate storms that EMs have not already seen, and enable serious games and training analytics to improve EMs preparedness. The simulator leverages the HURDAT2 database, which contains information on more than 2,800 tropical storms, to generate plausible storms. The intended purpose and the required storm characteristics drove simulator design and technique selection. Storm movement between waypoints is simulated by a Markov model and kernel density estimation (KDE) with a gamma-von Mises product kernel. KDE with a beta kernel generates maximum sustained winds, and linear regression simulates minimum central pressure. Maximum significant wind extents are simulated by Poisson regression and temporal filtering. The un-optimized MATLAB code runs in less than a minute and is integrated into HVX as a Java package.
Electrically tunable liquid-crystal photonic crystal fiber

Tunable light switch using a photonic crystal fiber filled with nematic liquid crystal is demonstrated. The original band-gap-guiding fiber structure was transformed to a total internal reflection-guiding photonic crystal fiber by filling liquid crystal into the air core and cladding air holes. By applying external voltage to the liquid-crystal-filled fiber, we have demonstrated an electrically tunable fiber-optical switch with over 30dB attenuation at 60Vrms for a He-Ne laser beam. This liquid-crystal-filled photonic crystal fiber will find useful applications in fiber-optic communication systems.
Particle Identification by Light Scattering through Evolutionary Algorithms

Optimization methods are fundamental in science and technology, due to their application in numerous, diverse, fields. In most applications, the corresponding objective functions are multimodal, discontinuous, and frequently, they are contaminated by noise. Such problems cannot be solved effectively through classical Nonlinear Programming techniques. Evolutionary Algorithms are stochastic optimization methods that exploit function values solely. They are not affected by possible discontinuities of the objective function, and have proved to be noise tolerant. This paper addresses the problem of Particle Identification by Light Scattering, which is, in general, contaminated by noise. To this end, two evolutionary algorithms, namely, Particle Swarm Optimization and Differential Evolution, are employed. In particular, two variants of each algorithm are considered. Both algorithms are efficient, and exhibit robust behavior with respect to noise. Overall, the obtained experimental results are satisfactory.
Study of the humic-like compounds formed from L-tyrosine on homoionic clays

Abstract The ability to produce humic-like polymeric compounds, with L-tyrosine as the starting material, was evaluated using different mineral systems, e.g. on Ca-, Al- and Cu(II)-saturated montmorillonite, nontronite and kaolinite, and on quartz. Clay minerals proved to be effective in the formation of these compounds, but not quartz, except in the presence of Cu(II). The newly formed compounds were fractionated by alkaline extraction. With clay systems, the amounts of substances produced appear to be related more to the interlayer cation than to the clay type. Copper cations appear to be more effective when not associated with the clay structure.
I. PENDAHULUAN Perkembangan teknologi di bidang robotika telah menjadi perhatian yang cukup serius dalam beberapa tahun terakhir. Hal ini disebabkan peran robot yang dapat menggantikan pekerjaan manusia terutama dalam lingkungan yang berbahaya, seperti daerah radiasi nuklir, penjelajahan ruang angka

Perkembangan teknologi di bidang robotika telah menjadi perhatian yang cukup serius dalam beberapa tahun terakhir. Salah satu jenis robot dengan kemampuan istimewa yaitu robot mobil. Masalah utama robot ketika beroperasi adalah bagaimana robot dapat bergerak pada lintasan yang sesuai dan dengan cepat sampai pada tujuan. Pada tulisan ini dicoba mendesain algoritma If-Then rule yang di implementasikan pada Automated Guided Vehicle (AGV), dengan input 3 sensor ultrasonik dan 2 output yaitu arah sudut dan kecepatan robot, kemudian dilihat kemampuan robot dalam bergerak pada lintasan yang berbelok. Dari hasil yang diperoleh robot mampu bergerak melintas pada lintasan lurus dan belok, tetapi robot tidak mampu berada pada bagian tengah lintasan, hal ini disebabkan karena algoritma If-Then yang digunakan hanya mendeteksi input sensor yang masih sedikit dan respon robot yang lambat.
Crystalline Block Copolymer Decorated, Hierarchically Ordered Polymer Nanofibers

We report the formation of hierarchically ordered polymer nanofiber structures, named as nanofiber shish kebabs (NFSKs), by combining electrospinning and controlled polymer crystallization. Nanofibers were produced by electrospinning polycaprolactone (PCL), which was used as the shish, and a secondary polymer [either PCL or PCL-b-poly(ethylene oxide)] was decorated on the nanofiber by an incubation (slow crystallization) or a solvent evaporation (fast crystallization) method to form kabab lamellae. Selected area electron diffraction experiment showed that the PCL crystal c axis is parallel to the fiber axis in both shish and kebabs. The formation mechanism was attributed to soft epitaxy where crystallographic registration between the shish and the kebab was not needed. In block copolymer NFSKs, nanofiber-induced polymer crystallization brings the block copolymer to the vicinity of the nanofibers, and the block copolymer further phase separated into lamellar structure templated by the nanofiber. The result.
Large trees drive forest aboveground biomass variation in moist lowland forests across the tropics

Aim Large trees (d.b.h. 70 cm) store large amounts of biomass. Several studies suggest that large trees may be vulnerable to changing climate, poten- tially leading to declining forest biomass storage. Here we determine the importance of large trees for tropical forest biomass storage and explore which intrinsic (species trait) and extrinsic (environment) variables are associated with the density of large trees and forest biomass at continental and pan-tropical scales. Location Pan-tropical.
Identifying the Topic-Specific Influential Users in Twitter

Social Influence can be described as the ability to have an effect on the thoughts or actions of others. Influential members in online communities are becoming the new media to market products and sway opinions. Also, their guidance and recommendations can save some people the search time and assist their selective decision making. The objective of this research is to detect the influential users in a specific topic on Twitter. From a collection of tweets matching a specified query, the influential users are to be detected in an online fashion. In order to address this, the issue of which set of features can best lead us to the topic-specific influential users is investigated along with how these features can be expressed in a model to produce a list of ranked influential users.
A Quasi-Conservative Dynamical Low-Rank Algorithm for the Vlasov Equation

Numerical methods that approximate the solution of the Vlasov-Poisson equation by a low-rank representation have been considered recently. These methods can be extremely effective from a computational point of view, but contrary to most Eulerian Vlasov solvers, they do not conserve mass and momentum, neither globally nor in respecting the corresponding local conservation laws. This can be a significant limitation for intermediate and long time integration. In this paper we propose a numerical algorithm that overcomes some of these difficulties and demonstrate its utility by presenting numerical simulations.