Geological Observatory of Coldigioco

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    POLYCRYSTALLINE CuInSe2 ELECTRODES

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    ABSTRACT The oxidation of benzene at a lead dioxide electrode which produces predominantly benzoquinone, maleic acid, and carbon dioxide, has been investigated in aqueous NaHSO4 solutions as a function of temperature up to 250~ An increase in the benzene concentration does not increase the concentration of benzoquinone formed at high temperature, which is different from the behavior at 25~ The formation of biphenyl at high temperature was also discovered. A novel type of single-pass flow reactor for studying high temperature electrochemistry is described

    At First Site: Lessons from Furman University's Center for Collaborative Learning and Communication

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    Engaged learning is a broad, interdisciplinary concept, yet it has very definite roots. Most scholars point first to early-twentieth-century educational theorist John Dewey, whose work argued against passivity in education-and more broadly, in life--by advocating an active, inquiry-based approach. In contrast to the perspectives of scholars interested in simulated learning, While different institutions define engaged learning differently at times in terms of program offerings today, it generally includes project-based, problem-solving scenarios in which students face "real world" challenges. Teachers take on roles like guide and colearner, while students imagine themselves as explorers, and the sort of democratic learning model Dewey imagined persists in this form. Among key components of engaged learning programs are the following: • Learners take responsibility for their progress, including setting goals and developing assessment standards; • Learners develop large-scale characteristics, like critical thinking, simultaneously with smaller-scale characteristics; • Learners find rewards in the learning itself, instead of relying on other motivation or forms of approval; and • Learners develop an appreciation for collaboration

    Male fertility potential alteration in rheumatic diseases: a systematic review

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    absTRaCT aRTIClE INFO ______________________________________________________________ ______________________ Background: Improved targeted therapies for rheumatic diseases were developed recently resulting in a better prognosis for affected patients. Nowadays, patients are living longer and with improved quality of life, including fertility potential. These patients are affected by impaired reproductive function and the causes are often multifactorial related to particularities of each disease. This review highlights how rheumatic diseases and their management affect testicular function and male fertility. Materials and Methods: A systematic review of literature of all published data after 1970 was conducted. Data was collected about fertility abnormalities in male patients with systemic lupus erythematosus, rheumatoid arthritis, dermatomyositis, ankylosing spondylitis, Behçet disease and gout. Two independent researchers carried out the search in online databases. Results: A total of 19 articles were included addressing the following diseases: 7 systemic lupus erythematosus, 6 Behçet disease, 4 ankylosing spondylitis, 2 rheumatoid arthritis, 2 dermatomyositis and one gout. Systemic lupus erythematosus clearly affects gonadal function impairing spermatogenesis mainly due to antisperm antibodies and cyclophosphamide therapy. Behçet disease, gout and ankylosing spondylitis patients, including those under anti-TNF therapy in the latter disease, do not seem to have reduced fertility whereas in dermatomyositis, the fertility potential is hampered by disease activity and by alkylating agents. Data regarding rheumatoid arthritis is scarce, gonadal dysfunction observed as consequence of disease activity and antisperm antibodies. Conclusions: Reduced fertility potential is not uncommon. Its frequency and severity vary among the different rheumatic diseases. Permanent infertility is rare and often associated with alkylating agent therapy

    How good are malware detectors at remediating infected systems?

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    Abstract Malware detectors are applications that attempt to identify and block malicious programs. Unfortunately, malware detectors might not always be able to preemptively block a malicious program from infecting the system (e.g., when the signatures database is not promptly updated). In these situations, the only way to eradicate the infection without having to reinstall the entire system is to rely on the remediation capabilities of the detectors. Therefore, it is essential to evaluate the efficacy and accuracy of anti-malware software in such situations. This paper presents a testing methodology to assess the quality (completeness) of the remediation procedures used by malware detectors to revert the effect of an infection from a compromised system. To evaluate the efficacy of our testing methodology, we developed a prototype and used it to test six of the top-rated commercial malware detectors currently available on the market. The results of our evaluation witness that in many situations the tested malware detectors fail to completely remove the effects of an infection

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    Maximizing the Oscillation Frequency of CMOS VCOs

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    Abstract-Techniques for enhancing the operation frequency range for voltage controlled ring oscillators are discussed. It is shown that substantial improvement in speed is achievable with concentric layout techniques and with transconductance density optimization. Simulation results for a VCO designed in a 0.35µ µ µ µm CMOS process are presented which show a center frequency of 4.5 GHz and a tuning range of ± ± ± ±12%

    What Works Best When? A Systematic Evaluation of Heuristics for Max-Cut and QUBO

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    Though empirical testing is broadly used to evaluate heuristics, there are shortcomings with how it is often applied in practice. In a systematic review of Max-Cut and Quadratic Unconstrained Binary Optimization (QUBO) heuristics papers, we found only 4% publish source code, only 14% compare heuristics with identical termination criteria, and most experiments are performed with an artificial, homogeneous set of problem instances. To address these limitations, we implement and release as open-source a code-base of 10 MaxCut and 27 QUBO heuristics. We perform heuristic evaluation using cloud computing on a library of 3,296 instances. This large-scale evaluation provides insight into the types of problem instances for which each heuristic performs well or poorly. Because no single heuristic outperforms all others across all problem instances, we use machine learning to predict which heuristic will work best on a previously unseen problem instance, a key question facing practitioners

    Modal Logics.fm

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    Abstract The Ambient Calculus is a process calculus where processes may reside within a hierarchy of locations and modify it. The purpose of the calculus is to study mobility, which is seen as the change of spatial configurations over time. In order to describe properties of mobile computations we devise a modal logic that can talk about space as well as time, and that has the Ambient Calculus as a model

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