Miracle-dz/UniFAR-FTUs huggingface dataset:
A pr 2 00 8 EIGENVALUE ESTIMATES FOR SUBMANIFOLDS OF N × R WITH LOCALLY BOUNDED MEAN CURVATURE

When Ω = M is an open Riemannian manifold, the fundamental tone λ(M) coincides with the greatest lower bound inf Σ of the spectrum Σ ⊂ [0,∞) of the unique self-adjoint extension of the Laplacian △ acting on C 0 (M) also denoted by △. When Ω is compact with piecewise smooth boundary ∂Ω (possibly empty) then λ(Ω) is the first eigenvalue λ1(Ω) of Ω (Dirichlet boundary data if ∂Ω 6= ∅). A well studied problem in the geometry of the Laplacian is the relations between the first eigenvalue or the fundamental tone of open sets of Riemannian manifolds and the manifold’s geometric invariants, see [2],[3], [8] and references therein. Another kind of problem is to give bounds for the the first eigenvalue (fundamental tone) of open sets of minimal submanifolds of Riemannian manifolds, see [4], [5], [7], [9], [10]. There has been recently an increasingly interest on the study of minimal surfaces (constant mean curvature) in product spaces N × R, with after the discovery of many beautiful examples in those spaces, see [14], [15]. This motivates us to study the fundamental tone of minimal submanifold of product spaces N × R. Our first result is the following theorem.
Polyacrylonitrile microscaffolds assembled from mesh structures of aligned electrospun nanofibers as high-efficiency particulate air filters

ABSTRACT Electrospun polyacrylonitrile (PAN) fibers of very small diameters have potential for integration into filters capable of increasing the particle filtration efficiency. To fulfill the requirements for high-efficiency particulate air (HEPA) filters with a reasonable pressure drop, we generated aligned electrospun PAN fibers through pre-alignment at various rotation rates and subsequent solvent vapor annealing (SVA) under a loading. We evaluated the properties of microscaffold filters assembled from aligned electrospun PAN fibers in the form of linear, square, and triangular multiple meshes. The microscaffolds featuring multiple square meshes exhibited dramatically increased filtration efficiency without a significant pressure drop. A nine-layer cross-ply structure provided a filtration efficiency of 99.98% for 0.25-μm particles at a face velocity of 10 cm s−1; its filtration quality factor was the highest among all of the tested microscaffolds. Thus, HEPA filters featuring a low packing density can be achieved using PAN fibers. © 2016 American Association for Aerosol Research
Problem on optimal distribution of induced microwave by heating probe at the tumor site in hyperthermia

In this paper we have investigated analytically the optimal distribution of time dependent point heating power inserted in the tumour site [Deng and liu, 2002] of the tissue described by bio-heat equation so as to attain desired temperature of the tumour at the end of time of operation of the process under constant surface cooling temperature using conjugate gradient method [Loulou and Scott, 2002]. Here the temperature of the tissue against the length of the tissue at different total times of operation of the process due to calculated distribution of heating power is numerically evaluated for investigation of desired tumour temperature.
Evaluation of Three-Step Pretreatment Combined with Air Blast or Cryomechanical Freezing in Improving the Quality of Frozen Strawberries (Fragaria×ananassa Duch. cv. Harunoka)

Abstract The freezing tolerance of the strawberries related to the application of various pretreatment methods combined with air blast (AB) or cryomechanical (CM) freezing was investigated during 24 weeks of frozen storage. Osmotic pretreatments with lemon juice (LJ) solution and crystallized sucrose (CS) exerted significant protective effects on color stability of frozen-thawed strawberries. As compared with no pretreatment, the combined pretreatment using sodium alginate (SA) or low methoxyl pectin (LMP) vacuum-infusion (VI) and subsequent calcium dipping for frozen strawberries reduced firmness loss by 11.5–34.2% and reduced drip loss by 84.6–91.7% depending on specific VI solutions and calcium concentration, while SA or LMP VI alone showed no significant improvement in the retention of texture. CM freezing not only provoked significant reductions in overall freezing time and moisture loss compared to AB freezing, but also resulted in minimizing color and texture instability of frozen strawberries when combined with the three-step pretreatment process.
ChoreoMaster

Despite strong demand in the game and film industry, automatically synthesizing high-quality dance motions remains a challenging task. In this paper, we present ChoreoMaster, a production-ready music-driven dance motion synthesis system. Given a piece of music, ChoreoMaster can automatically generate a high-quality dance motion sequence to accompany the input music in terms of style, rhythm and structure. To achieve this goal, we introduce a novel choreography-oriented choreomusical embedding framework, which successfully constructs a unified choreomusical embedding space for both style and rhythm relationships between music and dance phrases. The learned choreomusical embedding is then incorporated into a novel choreography-oriented graph-based motion synthesis framework, which can robustly and efficiently generate high-quality dance motions following various choreographic rules. Moreover, as a production-ready system, ChoreoMaster is sufficiently controllable and comprehensive for users to produce desired results. Experimental results demonstrate that dance motions generated by ChoreoMaster are accepted by professional artists.
Novel method for the analysis of clathrates

Recently various of applications of clathrates, such as the concentration of juices, water desalination and wastewater treatment have gained the attention in industry and research alike. In this paper we present a novel method based on photoacoustic spectroscopy for the analysis of clathrates in aqueous environments. The herein proposed self-referencing method poses a simple and robust approach identifying and determining the formation of clathrates via the measurement of the Grüneisen coefficient using a PVDF-based photoacoustic spectroscope. This research holds high potential for industrial applications of clathrates helping to save time, energy and resources during the clathrate forming process by indicating clathrate formation.
CCID_A_245649 259..266

Michael Benigno 1 Kathryn PAnastassopoulos 2 Arash Mostaghimi Margarita Udall 1 Shoshana R Daniel 1 Joseph C Cappelleri 4 Pratibha Chander Peter MWahl Jennifer Lapthorn Laura Kauffman Linda Chen 1 Elena Peeva 1Pfizer Inc, New York, NY 10017, USA; 2Covance Market Access Services Inc, Gaithersburg, MD 20878, USA; 3Brigham & Women’s Hospital, Harvard University, Boston, MA 02115, USA; 4Pfizer Inc., Groton, CT 06340, USA; 5Pfizer Inc., Cambridge, MA 02139, USA Purpose: Alopecia areata (AA) is an autoimmune disease characterized by the development of non-scarring alopecia. The prevalence is not well known, and estimates vary considerably with no recent estimates in the United States (US). The objective of this study was to define the current AA point prevalence estimate among the general population in the US overall and by severity. Patients and Methods: We administered an online, cross-sectional survey to a representative sample of the US population. Participants self-screening as positive for AA using the Alopecia Assessment Tool (ALTO) also completed the Severity of Alopecia Tool (SALT) to measure the severity of disease as a percent of scalp hair loss. Self-reported AA participants were invited to upload photographs for adjudication of AA by 3 clinicians. Results: The average age of participants was 43 years. Approximately half of the participants (49.2%) were male, and the majority were white (77.1%) and not of Hispanic origin (93.2%). Among the 511 self-reported AA participants, 104 (20.4%) uploaded photographs for clinician evaluation. Clinician-adjudicated point prevalence of AA was 0.21% (95% CI: 0.17%, 0.25%) overall, 0.12% (95% CI: 0.09%, 0.15%) for “mild” disease (≤50% SALTscore), and 0.09% (95% CI: 0.06%, 0.11%) for “moderate to severe” disease (>50% SALT score) with 0.04% (95% CI: 0.02%, 0.06%) for the alopecia totalis/alopecia universalis (100% SALT score) “moderate to severe” subgroup. The average SALT score was 44.4% overall, 8.8% for “mild”, and 93.4% for “moderate to severe”. Conclusion: This study suggests that the current AA prevalence in the US is similar to the upper estimates from the 1970s at approximately 0.21% (700,000 persons) with the current prevalence of “moderate to severe” disease at approximately 0.09% (300,000 persons). Given this prevalence and the substantial impact of AA on quality of life, the burden of AA within the US is considerable.
Astrocytes organize neural associative memory

We investigate one aspect of the functional role played by astrocytes in neuron-astrocyte networks present in the mammal brain. To highlight the effect of neuron-astrocyte interaction, we consider simplified networks with bidirectional neuron-astrocyte communication and without any connections between neurons. We show that the fact, that astrocyte covers several neurons and a different time scale of calcium events in astrocyte, alone can lead to the appearance of neural associative memory. Without any doubt, this mechanism makes the neuron networks more flexible to learning, and, hence, may contribute to the explanation, why astrocytes have been evolutionary needed for the development of the mammal brain.
Comparing Machine Learning Estimation of Fuel Consumption of Heavy-Duty Vehicles

Fuel consumption (FC) is one of the key factors in determining expenses of operating a heavy-duty vehicle. A customer may therefore request an estimate of the FC of a desired vehicle. The modular design of heavy-duty vehicles allows their construction by specifying the building blocks, such as gear box, engine and chassis type. If the combination of building blocks is unprecedented, it is unfeasible to measure the FC, since this would first r equire the construction of the vehicle. This paper proposes a machine learning approach to predict FC. This study uses around 40,000 vehicles specific a nd o perational e nvironmental c onditions i nformation, such as road slopes and driver profiles. A ll v ehicles h ave d iesel engines and a mileage of more than 20,000 km. The data is used to investigate the accuracy of machine learning algorithms Linear regression (LR), K-nearest neighbor (KNN) and Artificial n eural n etworks ( ANN) in predicting fuel consumption for heavy-duty vehicles. Performance of the algorithms is evaluated by reporting the prediction error on both simulated data and operational measurements. The performance of the algorithms is compared using nested cross-validation and statistical hypothesis testing. The statistical evaluation procedure finds that ANNs have the lowest prediction error compared to LR and KNN in estimating fuel consumption on both simulated and operational data. The models have a mean relative prediction error of 0.3% on simulated data, and 4.2% on operational data. Keywords—Artificial neural networks, fuel consumption, machine learning, regression, statistical tests.
Antiparasitic Properties of Cardiovascular Agents against Human Intravascular Parasite Schistosoma mansoni

The intravascular parasitic worm Schistosoma mansoni is a causative agent of schistosomiasis, a disease of great global public health significance. Praziquantel is the only drug available to treat schistosomiasis and there is an urgent demand for new anthelmintic agents. Adopting a phenotypic drug screening strategy, here, we evaluated the antiparasitic properties of 46 commercially available cardiovascular drugs against S. mansoni. From these screenings, we found that amiodarone, telmisartan, propafenone, methyldopa, and doxazosin affected the viability of schistosomes in vitro, with effective concentrations of 50% (EC50) and 90% (EC90) values ranging from 8 to 50 µM. These results were further supported by scanning electron microscopy analysis. Subsequently, the most effective drug (amiodarone) was further tested in a murine model of schistosomiasis for both early and chronic S. mansoni infections using a single oral dose of 400 mg/kg or 100 mg/kg daily for five consecutive days. Amiodarone had a low efficacy in chronic infection, with the worm and egg burden reduction ranging from 10 to 30%. In contrast, amiodarone caused a significant reduction in worm and egg burden in early infection (>50%). Comparatively, treatment with amiodarone is more effective in early infection than praziquantel, demonstrating the potential role of this cardiovascular drug as an antischistosomal agent.
Tabular: Probabilistic Inference from the Spreadsheet

: Tabular is a domain-speciﬁc language for expressing probabilistic models of relational data. Tabular has several features that set it apart from other probabilistic programming languages including: (1) programs and data are stored as spreadsheet tables; (2) programs consist of probabilistic annotations on the relational schema of the data; and (3) inference returns estimations of missing values and latent columns, as well as parameters. Our primary implementation is for Microsoft Excel and relies on Infer.NET for inference. Still, the language can be called independently of Excel and can target alternative inference engines.
CMAR_A_265529 7619..7633

1Department of Anesthesiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China (USTC), Hefei, Anhui 230001, People’s Republic of China; 2Department of Anesthesiology, Anhui Provincial Hospital, Hefei 230001, Anhui, People’s Republic of China; 3Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, People’s Republic of China; 4Department of Molecular Pathology, Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei, Anhui 230031, People’s Republic of China Abstract: It is difficult to control the recurrence and metastasis of malignant tumors; furthermore, anesthesia is considered one of the main influencing factors. There has been increasing clinical attention on the effects of anesthetic drugs and methods on postoperative tumor growth and metastasis. We reviewed the effects of anesthesia on tumor recurrence and metastasis; specifically, the effects of anesthetic agents, anesthesia methods, and related factors during the perioperative period on the tumor growth and metastasis were analyzed. This study can provide reference standards for rational anesthesia formulations and cancerrelated pain analgesia protocols for surgical procedures in patients with malignant tumors. Moreover, it contributes toward an experimental basis for the improvement and development of novel anesthetic agents and methods.
Studies on Electrochemical Behavior of Fe(II)-EDTA Cleaving DNA on HMDE

Electrochemical behavior of Fe(Ⅱ) EDTA cleaving DNA on hanging mercury drop electrode(HMDE) was studied. It was found that the changes in the DNA structure due to Fe(Ⅱ) EDTA breaking DNA result in the increasing of a reduction peak current of DNA on HMDE, indicating that the electrochemical methods are hopeful to be used as an auxiliary means for probing changes in the DNA structure. Furthermore, the standard rate constant of the surface reaction k s was determined as 0.59 s -1 .
Origin of High‐Frequency Radiation During Laboratory Earthquakes

We monitor dynamic rupture propagation during laboratory stick‐slip experiments performed on saw‐cut Westerly granite under upper crustal conditions (10–90 MPa). Spectral analysis of high‐frequency acoustic waveforms provided evidence that energy radiation is enhanced with stress conditions and rupture velocity. Using acoustic recordings band‐pass filtered to 400–800 kHz (7–14 mm wavelength) and high‐pass filtered above 800 kHz, we back projected high‐frequency energy generated during rupture propagation. Our results show that the high‐frequency radiation originates behind the rupture front during propagation and propagates at a speed close to that obtained by our rupture velocity inversion. From scaling arguments, we suggest that the origin of high‐frequency radiation lies in the fast dynamic stress‐drop in the breakdown zone together with off‐fault coseismic damage propagating behind the rupture tip. The application of the back‐projection method at the laboratory scale provides new ways to locally investigate physical mechanisms that control high‐frequency radiation.
Pengaruh Anomali Pasar: The Day of The Week Effect dan Week Four Effect Terhadap Return Saham di Bursa Efek Indonesia Periode Januari–Desember 2016 / Alvina Yudonegoro / 23140221 / Pembimbing : M. Budi Widiyo Iryanto

Anomali pasar adalah suatu kejadian (peristiwa) yang dapat dieksploitasi untuk menghasilkan abnormal return. Pada Juli 2016, Bursa Efek Indonesia menemukan adanya pergerakan anomali pada saham PT Bank Pundi Indonesia Tbk (BEKS) dan PT Bank Maybank Indonesia Tbk (BNII) dibandingkan periode sebelumnya. Didukung fenomena tersebut, penulis tertarik untuk meneliti lebih lanjut fenomena anomali pasar yang biasa mengganggu pasar efisien bentuk lemah, khususnya pengaruh the day of the week effect dan week four effect terhadap return saham di Bursa Efek Indonesia. Teori hipotesis pasar efisien dan anomali pasar merupakan teori yang mendasari penelitian ini. Hipotesis pasar efisien menjelaskan bahwa pasar dikatakan efisien jika harga sekuritas di pasar merupakan cerminan dari semua informasi yang tersedia. Pada pasar modal yang efisien seharusnya tidak terjadi anomali. Anomali pasar merupakan bukti yang menolak atau setidaknya kurang mendukung konsep pasar efisien. Sampel yang digunakanpada penelitian iniadalah harga penutupan harian Indeks Harga Saham Gabungan (IHSG) pada Bursa Efek Indonesia periode Januari–Desember 2016. Metode statistik yang digunakan untuk menguji hipotesis adalah Paired-Samples T Test. Hasil penelitian menunjukkan bahwa terjadi the day of the week effect, khususnya Wednesday effect di Bursa Efek Indonesia dimana rata-rata return hari Rabu menunjukkan perbedaan yang signifikan dibandingkan dengan rata-rata return hari lainnya. Sementara itu, hasil pengujian week four effect di Bursa Efek Indonesia menunjukkan bahwa tidak ada perbedaan yang signifikan rata-rata return Senin minggu pertama sampai ketiga dengan rata-rata return Senin minggu keempat dan kelima. Dari hasil penelitian ini, dapat disimpulkan bahwa the day of the week effect berpengaruh terhadap return saham sementara week four effect tidak berpengaruh terhadap return saham di Bursa Efek Indonesia periode Januari–Desember 2016. Hasil tersebut membuktikan adanya keberadaan anomali pasar, khususnya the day of the week effect yang dapat memengaruhi return saham di Bursa Efek Indonesia. Sementara itu, week four effect tidak selalu terjadi, khususnya pada periode penelitian ini.
Suppression of Spiral Waves and Spatiotemporal Chaos in Cardiac Tissues with Controll of Calcium and Potassium Ionic Currents

Suppression of spiral waves and spatiotemporal chaos in cardiac tissues described by LuoRudy 91 model are studied.We suggest a control strategy which applys calcium channel agonist to enlarge maximum conductivity of calcium current,and applys potassium channel blocker to reduce maximum conductivity of potassium current,for suppression of spiral waves and spatiotemporal chaos.It shows that the method can effectively suppress spiral waves and spatiotemporal chaos even if there exist defects without function of diffusion in a medium.The control mechanism is analyzed.
Polarised fluorescence and stimulated emission depletion studies of excited state dynamics

This thesis presents the research undertaken in time-resolved fluorescence inten¬sity and anisotropy techniques and their application. New information is revealed concerning the emission behaviour of a synthetic multipolar branched chromophore (AF257). Investigation of the relative radiative rates of fluorescing components in fluorescent proteins EGFP and mCherry was carried out using stimulated emission depletion (STED). Previous assumptions in the modelling of both continuous wave (CW) and pulsed STED are shown to be insufficient, and refinements are proposed and tested. The fluorescence techniques employed in this thesis utilise photoselection of an or¬dered excited state through polarised single and two-photon laser excitation, in addition to polarised, time-resolved measurement of sample fluorescence. Chapter one introduces the fluorescence process, the time-evolution of the alignment in the excited state, and the core measurement processes used. Chapter two examines in detail the absorption-emission mechanism of AF257 using both two-photon and single-photon excitation. By combining fluorescence intensity and anisotropy mea¬surements, it was possible to resolve the emission into that from two distinct excited state geometries. Such a thorough analysis has not been previously published for a molecule of this type; this synthesis of information enables the proposition of a new model for the absorption-emission process. The second half of the thesis concerns the use of STED, which incorporates the orientationally sensitive de-excitation of the excited state distribution. Chapter 3 employs CW STED to probe the fluorescence lifetimes and radiative rates of the commonly used fluorescent probes EGFP and mCherry. It is shown that each of these molecules consist of two fluorescing components with individual radiative rates and varying amplitudes (with STED power). A single ‘average’ lifetime and radiative rate is often used for these molecules in biological applications, and the differences observed here could have major implications for the accuracy of results obtained in their application in the biosciences. The chapter goes on to assess the assumption of an average STED rate in CW STED. Using fluorescence anisotropy measurements and numerical simulation, the importance of orientational dependence of fluorescence lifetimes in the analysis of STED measurements is shown. Chapter 4 investigates the effects of pulse stretching and solvent viscosity in pulsed STED. Analysis of this data shows the breakdown of the previously used model with the use of very long (of the order of 2-10 times the rotational correlation time) STED pulses. Revisions to the model are developed and tested. From the results of these revised models it is concluded that the rotation of the higher order spherical harmonic moments in the excited state distribution has a highly significant effect on the observed depolarisation of the excited state alignment, and that further improvements to the model are needed to incorporate this effect.
A new approach to evaluate the worthiness of repair

In this paper the concept of worthiness of repair is presented. After a necessary introduction into expert knowledge, Monte Carlo Simulation, conditional cdf, the Generalized Wiener Process and the basic idea of our worthiness of repair concept we conduct several case studies. We show how the worthiness of repair behaves depending on system complexity and economic circumstances