Miracle-dz/UniFAR-FTUs huggingface dataset:
Some recent applications of mean curvature flow with surgery

In this note we survey some recent topological, geometric and analytic applications of mean curvature flow with surgery. This is based on joint projects with Buzano-Hershkovits, Ketover, and Ivaki. The purpose of this note is to survey some recent applications of mean curvature flow with surgery. Recall that a flow with surgery is a smooth mean curvature flow interrupted by finitely many surgeries, where certain necks are replaced by standard caps and connected components covered entirely by canonical neighborhoods are discarded. By work of Huisken-Sinestrari [13], Brendle-Huisken [2] and Haslhofer-Kleiner [11] mean curvature flow with surgery exists for any mean convex surface in a three-manifold and for any two-convex hypersurface in Euclidean space of arbitrary dimension. 1. Topological applications Consider the moduli space of embedded n-spheres in Rn+1, i.e. the space (1.1) M(S) = Emb(S,R)/Diff(S) equipped with the smooth topology. By a classical theorem of Smale the space M(S1) is contractible [19], and by Hatcher’s solution of the Smale conjecture M(S2) is also contractible [12]. For n ≥ 3, there are many nonvanishing homotopy groups, see e.g. [6]. In the view of the topological complexity of M(Sn) for general n, it is an interesting question whether one can still derive some positive results on the space of embedded n-spheres under some curvature conditions. Motivated by the topological classification result from [13], we consider the subspace M2-conv(S) ⊂ M(Sn) of twoconvex embedded n-spheres in Rn+1, i.e. we impose the condition that the sum of the two smallest principal curvatures is positive. We proved: Theorem 1.1 (Buzano-Haslhofer-Hershkovits [4]). The space M2-conv(S) is path-connected in every dimension n. Our proof uses mean curvature flow with surgery, a connected sum operation for two-convex hypersurfaces, and a scheme inspired by the work 2010 Mathematics Subject Classification. 53C44, 53C12, 53A10, 58E12, 58D10, 49J35.
Automated Synthesis of Unconventional Computing Systems 2019

Despite decades of advancements, modern computing systems which are based on the von Neumann architecture still carry its shortcomings. Moore’s law, which had substantially masked the effects of the inherent memory-processor bottleneck of the von Neumann architecture, has slowed down due to transistor dimensions nearing atomic sizes. On the other hand, modern computational requirements, driven by machine learning, pattern recognition, artificial intelligence, data mining, and IoT, are growing at the fastest pace ever. By their inherent nature, these applications are particularly affected by communication-bottlenecks, because processing them requires a large number of simple operations involving data retrieval and storage. The need to address the problems associated with conventional computing systems at the fundamental level has given rise to several unconventional computing paradigms. In this dissertation, we have made advancements for automated syntheses of two types of unconventional computing paradigms: in-memory computing and stochastic computing. In-memory computing circumvents the problem of limited communication bandwidth by unifying processing and storage at the same physical locations. The advent of nanoelectronic devices in the last decade has made in-memory computing an energy-, area-, and cost-effective alternative to conventional computing. We have used Binary Decision Diagrams (BDDs) for in-memory computing on memristor crossbars. Specifically, we have used Free-BDDs, a special class of binary decision diagrams, for synthesizing crossbars for flow-based in-memory computing. Stochastic computing is a re-emerging discipline with several times smaller area/power requirements as compared to conventional computing systems. It is especially suited for fault-tolerant applications like image processing, artificial intelligence, pattern recognition, etc. We have proposed a decision procedures-based iterative algorithm to synthesize Linear Finite State Machines (LFSM) for stochastically computing non-linear functions such as polynomials, exponentials, and hyperbolic functions.
The Role and Prospects of IoT and Cloud Computing in Remote Health Monitoring

Cloud computing emerges as the key platform for IoT data storage, processing and analytics due to its simplicity, scalability and affordability (i.e. no up-front investment, low operation costs). Remote patient monitoring in particular can benefit from for this technology in many ways: (a) the new solution is acceptable by many user categories and provides invaluable assistance to chronic patients and the elderly, (b) it is expected to increase users autonomy and confidence and enable self-managing of their condition with the help of caregivers remotely, (c) it reduces the need for face-to-face appointments with doctors and days in hospital. This work reviews key challenges for reliable and secure remote health monitoring based on experience and lessons learned from applying the above technology to the problem of real-time data collection using both wide-range and short-rage wireless protocols and health sensors.
Wave Monitoring Based on Improved Convolution Neural Network

ABSTRACT Kang, L. , 2019. Wave monitoring based on improved convolution neural network. In: Gong, D. ; Zhu, H. , and Liu, R. (eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 186–190. Coconut Creek (Florida), ISSN 0749-0208. As human's marine activities, such as marine aquaculture, ocean shipping and coastal facilities construction, flourished world-widely, it is required to monitor the ocean wave dynamics timely and accurately. In this paper, a convolutional neural network (CNN)method was presented to assist the classification of ocean wave. Then it was compared with other traditional models in terms of accuracy and speed. Firstly, the performance of different CNN models was evaluated and the best one was improved with the idea of network in network. Then the best hyper parameters corresponding to the improved model were acquired. Finally, the performance of improved CNN model was compared with that of traditional models on a test database of 26536 image cases. The rate of correct identification in the proposed model is 96.23%, similarly to that of ResNet-152 (97.85%), and it take the least execution times. Overall, this method could be used for near-real-time wave monitoring by efficient classification of ocean wave images.
Optimal Management and Allocation of Superior Resources in Port Industries

ABSTRACT Yang, X. ; Ni, L. -K. ; Tong, F. -M. , and Zhang, H. -Y. , 2019. Optimal management and allocation of superior resources in port industries. In: Gong, D. ; Zhu, H. , and Liu, R. (eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 500–504. Coconut Creek (Florida), ISSN 0749-0208. As marine trade and the shipments expand day by day, the port scale also increasingly enlarges; the resource staffing of port industries obviously increases; as valuable resources, the security management facilities equipped by port industries and authorities are wasteful and low in the customs clearance efficiency. Taking port industries and authorities as study cases, this paper describes the allocation and utilization of management resources of port industries, and proposes reasonable measures for optimization collocation of resources in order to reduce operating costs. The findings show that there is a big gap in the resource allocation structure and the customs clearance time between China and those developed countries. There are also different nature and allocation bodies of resources of the two. Driven by the conventions, policies, orders and markets, it is possible to achieve optimal allocation of resources, and reduce the consumption of human and financial resources. This paper provides a theoretical basis for optimizing security inspection and management of resources of port industries.
Design and Implementation of Financial Accounting Information Management System of Shipping Companies Based on ERP

ABSTRACT Lin, P., 2019. Design and implementation of financial accounting information management system of shipping companies based on ERP. In: Gong, D. ; Zhu, H. , and Liu, R. (eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 470–474. Coconut Creek (Florida), ISSN 0749-0208. With the coming of information age, the traditional financial accounting information management of shipping companies cannot meet the needs of their development and competition. Based on the detailed analysis of the requirements of financial accounting and management accounting of shipping companies, this paper proposes the financial accounting information management system of a shipping company based on ERP, and design its business flow in detail. Finally, the design system is tested and the test result is basically consistent with the design expectation, providing a kind of more efficient integrated information management system which can be referred to for the financial management system of shipping industry. The research result has the positive reference significance to shipping management companies.
Sustainable Fishery Policy for Thailand Gulf: A General Equilibrium Analysis

ABSTRACT Pan, H. -R. ; Zhao, J.; Failler P. and Wang, Y. , 2019. Sustainable fisheries policy for the Gulf of Thailand: A general equilibrium analysis. In: Gong, D. ; Zhu, H. , and Liu, R. (eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 955–961. Coconut Creek (Florida), ISSN 0749-0208. Study of fisheries policy has conventionally been limited to partial equilibrium analysis where capture fisheries are considered in an isolated world without connection with the rest of the economy and without endogenous change in prices. This causes a two-way problem in policy analysis in that firstly consequences of fisheries policy cannot spread out of the sector and thus incorporate feedback from the rest of the economy, and secondly any economic policy also cannot affect the fisheries sector. As a result, any policy analysis regarding the fisheries sector cannot be accurate or even correct. This research builds a computable general equilibrium model for Thai fisheries to study full consequences of fisheries or economic policies in Thailand. The model specifies the economic activities of not only capture fisheries but also aquaculture, fish processing and fish marketing sectors as well as the rest of the economy, and captures their interactions. The empirical applications of the model with market-based policy instruments such as fishing taxes and subsidies reveal that fisheries or economic policies aiming to protect the resources or restructure the sector, if properly designed and combined, can achieve their goal as well as avoid potential losses.
Marine Environment Distinctions and Change Law Based on eCongnition Remote Sensing Technology

ABSTRACT The extraction of marine environment distinctions is of utmost importance to the development of marine economy and environmental conservation. Traditional extraction method has some defects such as less observation data, large time span and vulnerability to vile weather on the ocean. The eCongnition remote sensing technology features fast classification, high precision and rises superior to the bad weather of the ocean. This paper attempts to apply the eCongnition remote sensing technology to the extraction of marine environment features in order to seek out its changing laws. The findings show that the eCongnition remote sensing technology can analyze the spectral, spatial and textural identities of the ocean. By extracting the characteristics of offshore fishery resources and ocean surface wind speed information, it is found that the marine fishery has a direct bearing on the marine environment factors, i.e. the surface temperature and chlorophyll-a concentration. The optimal ocean surface temperature is 29.5°C, and the optimal chlorophyll-a concentration is 0.4 mg/m3; the greater the distance from the sea level, the higher the wind speed on the ocean surface. Experimentally, this study provides the clues to the application of eCongnition remote sensing technology in marine feature extraction. Zhang, X. -L. ; Li, Z. ; Li, D. , and He, Y. -K. , 2019. Marine environment distinctions and change law based on eCongnition remote sensing technology. In: Gong, D. ; Zhu, H. , and Liu, R. (eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 107–111. Coconut Creek (Florida), ISSN 0749-0208.
Enabling Robust Grammatical Error Correction in New Domains: Data Sets, Metrics, and Analyses

Abstract Until now, grammatical error correction (GEC) has been primarily evaluated on text written by non-native English speakers, with a focus on student essays. This paper enables GEC development on text written by native speakers by providing a new data set and metric. We present a multiple-reference test corpus for GEC that includes 4,000 sentences in two new domains (formal and informal writing by native English speakers) and 2,000 sentences from a diverse set of non-native student writing. We also collect human judgments of several GEC systems on this new test set and perform a meta-evaluation, assessing how reliable automatic metrics are across these domains. We find that commonly used GEC metrics have inconsistent performance across domains, and therefore we propose a new ensemble metric that is robust on all three domains of text.
GABAB Receptor Signaling in the Dorsal Motor Nucleus of the Vagus Stimulates Gastric Motility via a Cholinergic Pathway

Central nervous system regulation of the gastric tone and motility is primarily mediated via preganglionic neurons of the dorsal motor nucleus of the vagus (DMV). This is thought to occur by simultaneous engagement of both independent excitatory and inhibitory pathways from the DMV and has been proposed to underlie the opposing effects seen on gastric tone and motility in a number of in vivo models. Contrary to this view, we have been unable to find any evidence for this “dual effector” pathway. Since this possibility is so fundamental to how the brain-gut axis may interact in light of both peripheral and central demands, we decided to explore it further in two separate animal models previously used in conjunction with GABAB signaling to report the existence of a “dual effector” pathway. Using anesthetized rats or ferrets, we microinjected baclofen (7.5 pmol; n = 6), a GABAB agonist into the DMV of rats or intravenously administered it (0.5 mg/kg; n = 4) in ferrets. In rats, unilateral microinjection of baclofen into the DMV caused a robust dose-dependent increase in gastric tone and motility that was abolished by ipsilateral vagotomy and counteracted by pretreatment with atropine (0.1 mg/kg; IV). Similarly, as microinjection in the rats, IV administration of baclofen (0.5 mg/kg) in the ferrets induced its characteristic excitatory effects on gastric tone and motility, which were blocked by either pre- or post-treatment with atropine (0.1 mg/kg; IV). Altogether, our data provide evidence that the gastric musculature (other than the gastric sphincters) is regulated by a “single effector” DMV pathway using acetylcholine.
Host Components Contributing to Respiratory Syncytial Virus Pathogenesis

Respiratory syncytial virus (RSV) is the most prevalent viral etiological agent of acute respiratory tract infection. Although RSV affects people of all ages, the disease is more severe in infants and causes significant morbidity and hospitalization in young children and in the elderly. Host factors, including an immature immune system in infants, low lymphocyte levels in patients under 5 years old, and low levels of RSV-specific neutralizing antibodies in the blood of adults over 65 years of age, can explain the high susceptibility to RSV infection in these populations. Other host factors that correlate with severe RSV disease include high concentrations of proinflammatory cytokines such as interleukins (IL)-6, IL-8, tumor necrosis factor (TNF)-α, and thymic stromal lymphopoitein (TSLP), which are produced in the respiratory tract of RSV-infected individuals, accompanied by a strong neutrophil response. In addition, data from studies of RSV infections in humans and in animal models revealed that this virus suppresses adaptive immune responses that could eliminate it from the respiratory tract. Here, we examine host factors that contribute to RSV pathogenesis based on an exhaustive review of in vitro infection in humans and in animal models to provide insights into the design of vaccines and therapeutic tools that could prevent diseases caused by RSV.
Liver abscesses in beef cattle: potential for dairy monitoring?

The prevalence and economic impact of liver abscesses in feedlot cattle are well documented. 7 Abscessed livers in slaughtered feedlot cattle generally result from an aggressive feeding program, with incidence averaging from 12% to 32% in most feedlots. 3 Because liver abscesses are secondary to ruminal acidosis and rumenitis, such feeding practices as rapid increase in energy intake and poor or inconsistent bunk management characterized by irregular feeding (both amounts and intervals) promote a higher incidence of liver abscesses. 4 While abscesses are the leading cause ofliver condemnation, the greatest economic impact of liver abscesses is from reduced animal performance and carcass yield. Reported effects of abscesses on animal performance have ranged from no effect to a depression in daily gain as great as 11 % and a decrease in feed efficiency as much as 9.7%. Cattle with multiple and/or large liver abscesses also may require more carcass trimming because of adhesion of abscesses to the diaphragm and surrounding organs. In some instances, condemnation of the entire viscera is necessary, contributing to significant economic loss.
A Review of Chelonian Hematology

Hematologic investigations have been used successfully to diagnose disease and assess the physiological status of chelonians. Here, the microstructure, ultrastructure, development, and function of chelonian blood cells are summarized, and factors that affect hematologic results are reviewed. The limited body of chelonian hematology research is discussed, and recommendations for future work are provided. * Both authors contributed equally to this work. ** Corresponding author: Prof. Pipeng LI, from Shenyang Normal University, with his research focusing on biodiversity and evolution of amphibians and reptiles. E-mail: lipipeng@yahoo.com Received: 21 June 2010 Accepted: 14 February 2011 al., 2007; Zhang et al., 2009; Kassab et al., 2009), but the studies of haematopoiesis, cytochemical characterization and development of blood cells are few (Li and Zhu, 1991; Cannon, 1992; Li, 1997; Li et al., 2000; Li et al., 2001; Azevedo et al., 2003; Casal and Orós, 2007). Some reviews related to chelonian hematology and blood chemistry have been reported in China (Li and Zhu, 1997; Li and Lu, 1999; Lu, 1999; Wang, 2001; Fu et al., 2003). Hematologic analysis provides an easy diagnostic and prognostic tool for lower vertebrates (Canfield, 1998; Campbell, 2004; Tavares-Dias et al., 2009). Many diseases (e.g., hemoparasites, inflammatory diseases) are associated with changes in hematologic parameters in chelonians. Hematologic parameters have been used to diagnose chelonian diseases and to assess the health status of individuals (Work and Balazs, 1999; Christopher et al., 2003; Joyner et al., 2006), and as a prognostic indicator after treatment (Knotkova et al., 2005). Normal reference ranges of hematologic and biochemical parameters are considered important for assessing and monitoring the health status of chelonians. Such evaluations are dependent on reliable reference values for healthy animals. In recent years more normal reference ranges of hematologic variables of free-ranging and captive chelonians have been established (Samour et al., 1998; Hidalgo-Vila et al., 2007; Knotkováet et al., 2002; Metin et al., 2006). Blood parameters of chelonians are influenced by many factors, including season, age, sex, health status, geographic sites, physiological state and reproductive status (Christopher et al., 1999; Dickinson et al., 2002; Jacobson, 2007). Health status has become an increasingly important point of discussion for chelonian conservation and
Blindness Due to Polymicrogyria and Asymmetrical Dilation of the Lateral Ventricles in Standard Poodles

Polymicrogyria and asymmetric dilation of the lateral ventricles were seen in related Standard poodles that had cortical blindness. Three of the affected dogs also had gait and postural abnormalities, and one of these had seizures.Two of the affected dogs were littermates. Thorough ophthalmologic and neurologic examinations (including electroretinography, electromyography, cerebrospinal fluid analysis, plain radiographs, and computerized tomography scans) revealed no significant abnormalities outside of the brain that would account for the blindness. Computerized tomography scans in three dogs demonstrated bilateral dilation of the lateral ventricles which was more severe in the right. All dogs were necropsied between 5 and 9 months of age and had strikingly similar brain abnormalities. Numerous small irregular gyri with shallow sulci covered the middle and caudal dorsal and lateral cerebral cortex. The bony ridges of the inner calvaria in this area conformed to the underlying microgyral pattern. The lateral ventricles were asymmetrically dilated with the right more severely affected, particularly in the occipital area, and the cortical grey and white matter, including the corpus callosum, were thinned in these areas. The third and fourth ventricles and mesencephalic aqueduct were normal. Histologically, there was thinning and simplification of the cortical grey matter with an increased density of medium to large neurons. The corona radiata and subcortical white matter were also thinner than normal with no evidence of demyelination of astrocytic scarring. This congenital anomaly of the visual cortex causing blindness in the Standard Poodle appears to be inherited as an autosomal recessive trait. Disciplines Medicine and Health Sciences | Veterinary Medicine | Veterinary Pathology and Pathobiology Author(s) Thomas J. Van Winkle, John C. Fyfe, Betsy Dayrell-Hart, Gustavo D. Aguirre, Gregory M. Acland, and Donald F. Patterson This journal article is available at ScholarlyCommons: http://repository.upenn. edu/vet_papers/24