Benefit, cost and risk analysis on extending the forest roads network: A case study in Crasna Valley (Romania)

The paper presents how the Analytic Hierarchy Process can be used to select the most suitable combination of new forest roads to build onto a forested area provided that social or ecological aspects are not jeopardized. All important features worth being considered when a new network of forest roads is designed were grouped in three types of criteria, which are benefits, costs and risks. Further, in order to ease the pairwise comparisons between criteria, both benefits and costs have been divided into private and social, while the risks refer to the events that might be triggered or favoured by the construction of new roads, like habitat fragmentation, landslides in case of heavy rainfall during the construction phase or even illegal cuttings. The outcome consists of a series of benefit-cost-and-risk indices and benefit-cost ratios, one for each combination of forest roads, including the status quo. The method has been tested on three combinations of new forest roads already designed for a small forest management unit located in Prahova County, encompassing 838.0 ha of mountainous forest.</p

Repertoire-Specific Vocal Pitch Data Generation for Improved Melodic Analysis of Carnatic Music

Deep Learning methods achieve state-of-the-art in many tasks, including vocal pitch extraction. However, these methods rely on the availability of pitch track annotations without errors, which are scarce and expensive to obtain for Carnatic Music. Here we identify the tradition-related challenges and propose tailored solutions to generate a novel, large, and open dataset, the Saraga-Carnatic-Melody-Synth (SCMS), comprising audio mixtures and time-aligned vocal pitch annotations. Through a cross-cultural evaluation leveraging this novel dataset, we show improvements in the performance of Deep Learning vocal pitch extraction methods on Indian Art Music recordings. Additional experiments show that the trained models outperform the currently used heuristic-based pitch extraction solutions for the computational melodic analysis of Carnatic Music and that this improvement leads to better results in the musicologically relevant task of repeated melodic pattern discovery when evaluated using expert annotations. The code and annotations are made available for reproducibility. The novel dataset and trained models are also integrated into the Python package compIAM1 which allows them to be used out-of-the-box

Anxiety and Fear in Cancer Patients

Anxiety is a highly prevalent disorder in cancer patients, but it is often underdiagnosed in this setting. Receiving diagnosis of cancer leads the establishment of several psychological dynamics: fear of dying, uncertainty, loss of control, change in interpersonal relationships and self-image. Several clinically significant studies have supported the belief that cancer patients are more apt to suffer from anxiety, stress, depression and other emotional challenges. The study focuses on anxiety among cancer patients. It aims at investigating cancer and symptoms the disease has on the anxiety level of patients.</p

CAS: Centre for advanced studies

An introduction to the Centre for Advanced Studies.JRC.A.5-Scientific Developmen

Perpendicular switching of a single ferromagnetic layer induced by in-plane current injection

International audienceModern computing technology is based on writing, storing and retrieving information encoded as magnetic bits. Although the giant magnetoresistance effect has improved the electrical read out of memory elements, magnetic writing remains the object of major research efforts. Despite several reports of methods to reverse the polarity of nanosized magnets by means of local electric fields and currents, the simple reversal of a high-coercivity, single-layer ferromagnet remains a challenge. Materials with large coercivity and perpendicular magnetic anisotropy represent the mainstay of data storage media, owing to their ability to retain a stable magnetization state over long periods of time and their amenability to miniaturization. However, the same anisotropy properties that make a material attractive for storage also make it hard to write to. Here we demonstrate switching of a perpendicularly magnetized cobalt dot driven by in-plane current injection at room temperature. Our device is composed of a thin cobalt layer with strong perpendicular anisotropy and Rashba interaction induced by asymmetric platinum and AlOx interface layers. The effective switching field is orthogonal to the direction of the magnetization and to the Rashba field. The symmetry of the switching field is consistent with the spin accumulation induced by the Rashba interaction and the spin-dependent mobility observed in non-magnetic semiconductors as well as with the torque induced by the spin Hall effect in the platinum layer. Our measurements indicate that the switching efficiency increases with the magnetic anisotropy of the cobalt layer and the oxidation of the aluminium layer, which is uppermost, suggesting that the Rashba interaction has a key role in the reversal mechanism. To prove the potential of in-plane current switching for spintronic applications, we construct a reprogrammable magnetic switch that can be integrated into non-volatile memory and logic architectures. This device is simple, scalable and compatible with present-day magnetic recording technolog