Miracle-dz/UniFAR-FTUs huggingface dataset:
Modeling Suburban and Rural-Residential Development Beyond the Urban Fringe

This article investigates how land-use regulations differentially influence suburban versus rural-residential development. Particular emphasis is placed on how both the provision of municipal services (e.g., sewer and water) and zoned maximum density constrain higher-density residential development. We estimated a spatially explicit model with parcel data on recent housing development in Sonoma County, California. To account for heterogeneity in compliance with zoning regulations, we used a random-parameter logit model. The designation of sewer and water services was the most important determinant of suburban development. Meanwhile, it did not significantly affect the likelihood of rural-residential development, which actually leapfrogged into areas well beyond them. (JEL Q24, R14, R21)
Stress Resistance to Emotional Tension Condition in Elite Athletes

The characteristics of stress resistance and emotional tension in elite athletes were studied. 19 elite athletes (12 athletes at age of 19-24 and 7 athletes aged 27-31); members of the Ukrainian National Team in Greco-Roman wrestling took part in the research. The balance of nervous system, stress tolerance and state of autonomic regulation of the heart rhythm were studied. The results of the study are shows that athletes in younger age group (19-24) have higher level of performance of cognitive functions. Apart of it, it was indicated that athletes in a younger age group has the balance of nervous processes to acceleration and deceleration. Psycho emotional load leads to decline of average meanings of cardio intervals (Mean RR), the increase of low-frequency (VLF) and high-frequency (HF) heart rate variations in older age group. This fact indicates the influence to sinus node the central contour of regulation in the situations of psycho emotional tension with simultaneous activation parasympathetic link of vegetative regulation.
Substructure in Clusters and Central Galaxy Peculiar Velocities

Formation theories for central dominant galaxies in clusters require them to be lo­ cated at the minimum of the cluster gravitational potential. However, 32% (8 out of 25) of the clusters with more than 50 measured redshifts have central galaxies with significant velocity offsets (with respect to other cluster members). By studying their velocity distributions and correlations between velocity and position, I show that the presence of a large peculiar velocity is strongly correlated with the presence of sub­ structure in these massive systems. About 85% (21 of 25) of all well-studied clusters show some evidence for substructure, in contrast to the 30-40% found when using only galaxy or gas distributions. The correlation between substructure and central galaxy location verifies the hy­ pothesis of Merritt (1985) and Tremaine (1990) that high peculiar velocities are in­ dicative of recent merger events between less-massive systems of galaxies. Dynamical friction should act quickly to pull the central galaxy, the most massive discrete ob­ ject in a cluster, to the minimum of the potential. The less-massive galaxies retain information about their primordial sub clusters for a longer period of time. I use an objective partitioning algorithm to assign cluster galaxies to their host subclumps. When galaxies are allocated in this fashion to their subclusters, 75% of the significant velocity offsets are eliminated. Only 2 out of the 25 clusters have central galaxies which are not centrally-located when substructure is considered in the analysis. Accepted for publication in the Astronomical Journal Subject headings: galaxies: clusters galaxies: elliptical and lenticular, cD galaxies: clustering
Assessing Extinction Threats: Toward a Reevaluation of IUCN Threatened Species Categories

IUCN categories of threat (Endangered Vulnera- ble, Rare, Indeterminate, and others) are widely used in 'Red lists' of endangered species and have become an important tool in conservation action at international, national, re- gional, and thematic levels. The existing definitions are largely subjective, and as a result, categorizations made by different authorities diyfer and my not accurately reflect actual extinction risks. We present proposals to redefine cat- egories in tams of the probability of extinction within a specific time perio4 based on the theory of extinction times for single populations and on meaningful time scales for conservation action. Three categories are proposed (CRITI- CAL, ENDANGE-, VULNERABLE) with decreasing levels of threat over increasing time scales for species estimated to have at least a 10% probability of extinction within 100 years. The process of assigning species to categories may need to vay among different taxonomic groups, but we present some simple qualitative criteria based on population biol- ogy theory, which we suggest are appropriate at least for most large vertebrates. The process of assessing threat is clearly distinguished from that of setting priorities for con- servation action, and only the former is discussed here.
HIGHLY EFFICIENT 8-BIT LOW PRECISION INFERENCE OF CONVOLUTIONAL NEURAL NETWORKS

High throughput and low latency inference of deep neural networks are critical for the deployment of deep learning applications. This paper presents a general technique toward 8-bit low precision inference of convolutional neural networks, including 1) channel-wise scale factors of weights, especially for depthwise convolution, 2) Winograd convolution, and 3) topology-wise 8-bit support. We experiment the techniques on top of a widely-used deep learning framework. The 8-bit optimized model is automatically generated with a calibration process from FP32 model without the need of fine-tuning or retraining. We perform a systematical and comprehensive study on 18 widely-used convolutional neural networks and demonstrate the effectiveness of 8-bit low precision inference across a wide range of applications and use cases, including image classification, object detection, image segmentation, and super resolution. We show that the inference throughput and latency are improved by 1.6X and 1.5X respectively with minimal within 0.6%1 to no loss in accuracy from FP32 baseline. We believe the methodology can provide the guidance and reference design of 8-bit low precision inference for other frameworks. All the code and models will be publicly available soon.
The Rubredoxin from Clostridium pasteurianum: Mutation of the Iron Cysteinyl Ligands to Serine. Crystal and Molecular Structures of Oxidized and Dithionite-Treated Forms of the Cys42Ser Mutant

Isolation is reported of the four mutant proteins of the electron-transfer protein rubredoxin from Clostridium pasteurianum in which each of the four cysteine ligands is changed in turn to serine. They fall into two pairs whose properties depend on whether an interior (C6, C39) or a surface (C9, C42) cysteine ligand is substituted. A crystal structure of the oxidized C42S protein (1.65 A; R, 18.5%) confirms the presence of an FeIII(Sγ-Cys)3(Oγ-Ser) center (Fe−O, 1.82(8) A). Significant structural change is restricted to the region around the mutation. EXAFS experiments confirm FeIIIS3O (O = Oγ-Ser or OHx) centers in each oxidized protein at pH 8. The reduction potentials of the FeIII/II couple are decreased by about 100 and 200 mV, respectively, in the interior and surface ligand mutants. The potentials are pH-dependent with respective pKared values of about 9 and 7. EXAFS data indicate an increase of 0.2−0.3 A in the FeII−O distances in passing through these characteristic pKared values. 1H NMR experimen.
Antibacterial efficacy of stem bark extracts of Mangifera indica against some bacteria associated with respiratory tract infections

Phytochemical screening of the crude stem bark extracts of Mangifera indica revealed the presence of alkaloids, phenols, tannins, saponins and cardiac glycosides. The antibacterial activity of the crude extracts were assayed using the agar well diffusion methods on clinical bacterial isolates of Escherichia coli, Staphylococcus aureus, Pseudomonas aeruginosa, Klebsiella pneumonia and Streptococcus pneumonia obtained from patients previously diagnosed with respiratory tract infections. At a concentration of 50 mg/ml, the crude extracts inhibited the growth of all the respiratory tract pathogens, though with varying degrees of susceptibility depending on the bacterium and the extracting solvent. The MIC values ranged from 12.5 - 200 mg/ml, while the MBC values ranged from 50 400 mg/ml and this is very important for people who depend on the plant for their health care needs. The presence of the bioactive compounds has been linked to the antimicrobial activity of the extracts. The activity of the crude drug was more under acidic conditions and at elevated temperatures. The results obtained in this study support the use of the plant in herbal medicine. The stem bark of the M. indica tree can be used as a source of broad spectrum oral antibiotic to fight respiratory tract pathogens.
MAKING BETTER TREATMENT DECISIONS FOR CLINICAL MASTITIS

While considerable progress has been made in controlling contagious mastitis, mastitis continues to be the most frequent and costly disease of dairy cows. In some countries Staph aureus remains a significant cause of mastitis (Unnerstad, et al., 2009) while in other areas, widespread implementation of effective control measures has significantly reduced its prevalence (Makovec and Ruegg, 2003; Pitkala et al., 2004). Control of mastitis caused by Streptococcus agalactiae and Staphylococcus aureus has resulted in reductions in bulk tank somatic cell count (SCC) but many herds continue to struggle with treatment of clinical mastitis caused by environmental pathogens (Table 1).
The Performance based Evaluation of Models and Routing Protocols for Indian Automotive Networks

In this paper we evaluate the performance of mobility models, radio propagation models and routing protocols for intelligent transport system in Indian Automotive Networks. The evaluation helps us in selecting the appropriate models and protocols for the urban and rural scenario. This paper also helps us to identify the suitable propagation model, WAVE IEEE standards, wireless channels and the type of flow required for the Indian Automotive Networks.
Magnetoelectric polymer nanocomposite for flexible electronics

This paper reports the fabrication and characterization of a new type of magnetoelectric polymer nanocomposite that exhibits excellent ferromagnetism and ferroelectricity simultaneously at room temperature. The multiferroic nanocomposite consists of high aspect ratio ferromagnetic iron nanowires embedded inside a ferroelectric co-polymer poly(vinylindene fluoride-trifluoroethylene), P(VDF-TrFE). The nanocomposite has been fabricated via a simple low temperature spin coating technique. Structural, ferromagnetic, ferroelectric, and magnetoelectric properties of the developed nanocomposite have been characterized. The nanocomposite films showed isotropic magnetic properties due to the random orientation of the iron nanowires inside the film. In addition, the embedded nanowires did not hinder the ferroelectric phase development of the nanocomposite. The developed nanocomposite showed a high magnetoelectric coupling response of 156 mV/cmOe measured at 3.1 kOe DC bias field. This value is among the highest reported magnetoelectric coupling in two phase particulate polymer nanocomposites.
Macroeconomic Policy Mix, Employment and Inflation in a Post-Keynesian Alternative to the New Consensus Model

New Consensus Models (NCMs) have been criticised by Post-Keynesians for a variety of reasons, and amendments or alternatives have been presented. The present paper attempts to provide a Post-Keynesian alternative model to the NCM. The model consists of three classes: rentiers, firms and workers. It has a short-run inflation barrier derived from distribution conflict between these classes, which is endogenous in the medium run. Distribution conflict affects not only inflation but also income shares. On the demand side, the income classes have different saving propensities. We apply a Kaleckian investment function with expected sales and internal funds as major determinants. The paper analyses short-run stability and includes medium-run endogeneity channels for the Non-Accelerating-Inflation-Rate-of-Unemployment, or NAIRU: persistence mechanisms in the labour market, adaptive wage and profit aspirations, investment in capital stock and cost effects of interest rate changes. From the model, Post-Keynesian policy rules are derived. We argue that improved employment without increasing inflation will be possible if macroeconomic policies are coordinated along the following lines: the central bank targets distribution, wage bargaining parties target inflation and fiscal policies are applied for short- and medium-run real stabilisation purposes.
Seamless Multimodal Transportation Scheduling

Ride-hailing services have expanded the role of shared mobility in passenger transportation systems, creating new markets and creative planning solutions for major urban centers. In this paper, we consider their use for the first-mile or last-mile passenger transportation in coordination with a mass transit service to provide a seamless multimodal transportation experience for the user. A system that provides passengers with predictable information on travel and waiting times in their commutes is immensely valuable. We envision that the passengers will inform the system of their desired travel and arrival windows so that the system can jointly optimize the schedules of passengers. The problem we study balances minimizing travel time and the number of trips taken by the last-mile vehicles, so that long-term planning, maintenance, and environmental impact are all taken into account. We focus on the case where the last-mile service aggregates passengers by destination. We show that this problem is NP-hard, and we propose a decision diagram–based branch-and-price decomposition model that can solve instances of real-world size (10,000 passengers spread over an hour, 50 last-mile destinations, 600 last-mile vehicles) in computational time (∼1 minute) that is orders of magnitude faster than the solution times of other methods appearing in the literature. Our experiments also indicate that aggregating passengers by destination on the last-mile service provides high-quality solutions to more general settings. History: Accepted by Pascal Van Hentenryck, Area Editor for Computational Modeling: Methods and Analysis. Supplemental Material: The software that supports the findings of this study is available within the paper and its Supplemental Information ( https://pubsonline.informs.org/doi/suppl/10.1287/ijoc.2019.0163 ) as well as from the IJOC GitHub software repository ( https://github.com/INFORMSJoC/2019.0163 ). The complete IJOC Software and Data Repository is available at https://informsjoc.github. io/ .
Community attitudes and behaviour towards conservation: an assessment of a community conservation programme around Lake Mburo National Park, Uganda

Abstract This paper analyses the impact of a community conservation programme (CCP) implemented over a 7-year period around a national park in Uganda. Programme activities included dialogue, conflict reduction, education, community resource access and support for community development. Surveys of attitudes show that communities benefited from the programme were significantly more positive towards the park and wildlife than communities that did not. The community conservation programme built an understanding of conservation objectives amongst communities whose members were more likely to recognize positive aspects of the park and less likely to demand that it be degazetted. Comparison over the 7-year duration of the programme, however, did not show that communities were generally more positive towards conservation. They were more critical of management and demanded more support and resources than they had received. Their behaviour was not greatly changed, and high levels of poaching and illegal grazing continued. Attitudes were influenced by communities receiving development assistance, but improvements were fragile, vulnerable to poor behaviour of park staff and lawenforcement activities. Both were seen as contradicting community approaches. Attitudes were also influenced by land ownership and economic occupation. The CCP was not a panacea for the problems of the park and did not resolve fundamental conflicts of interest between communities and park management. However, it did change the way the protagonists perceive and interact with each other.
Estimation of motility parameters from trajectory data A condensate of our recent results

Given a theoretical model for a self-propelled particle or micro-organism, how does one optimally determine the parameters of the model from experimental data in the form of a time-lapse recorded trajectory? For very long trajectories, one has very good statistics, and optimality may matter little. However, for biological micro-organisms, one may not control the duration of recordings, and then optimality can matter. This is especially the case if one is interested in individuality and hence cannot improve statistics by taking population averages over many trajectories. One can learn much about this problem by studying its simplest case, pure diffusion with no self-propagation. This is an interesting problem also in its own right for the very same reasons: interest in individuality and short trajectories. We summarize our recent results on this latter issue here and speculate about the extent to which similar results may be obtained also for self-propelled particles.
DEVELOPING FRAMEWORK FOR SECURE STORAGE IN CLOUD COMPUTING SYSTEM

This paper shows the framework for designing the trusted platform for the cloud computing system. Data stored in third party storage systems like the cloud might not be secure since confidentiality and integrity of data are not guaranteed. Though cloud computing provides cost-effective storage services, it is a third party service and so, a client cannot trust the cloud service provider to store its data securely within the cloud. Hence, many organizations and users may not be willing to use the cloud services to store their data in the cloud until certain security guarantees are made. In this thesis, a solution to the problem of securely storing the client’s data by maintaining the confidentiality and integrity of the data within the cloud is developed. Five protocols are developed which ensure that the client’s data is stored only on trusted storage servers, replicated only on trusted storage servers, and guarantee that the data owners and other privileged users of that data access the data securely. The system is based on trusted computing platform technology. It uses a Trusted Platform Module, specified by the Trusted Computing Group. An encrypted file system is used to encrypt the user’s data. The system provides data security against a system administrator in the cloud.
Effects of a carbohydrate and a carbohydrate and casein protein beverages on recovery and performance of endurance cycling capacity.

The main aim of this study was to determine if short-term post exercise recovery, cycling performance and muscle damage were altered when consuming a carbohydrate-only beverage (CHO, 7% carbohydrate) versus a carbohydrate and casein protein beverage (CHO+P, 7% carbohydrate and 4% protein). Fifteen male cyclists (VO2peak= 63.4±9.6 ml·kg -1 ·min -1 ) performed two trials using a randomly counterbalanced, double-blind design. In each trial one liter of one of the test drinks was consumed in fasting conditions after 1 hour ride at 75% VO2peak determined by Arts and Kuipers´ regression equation . After a two hours recovery period the cyclists rode 20 km at the rider’s maximum speed for this distance. The results showed no significant differences in the 20-km ride when consuming the CHO (1770±210 s) or the CHO+P drink (1819±185 s). Post-exercise creatine kinase (CK) was not significantly different between treatments. However, serum insulin concentrations were higher during recovery when CHO+P beverage was consumed (P<0.05). Glucagon and lactic acid levels increased more on the CHO than on the CHO+P treatment (P<0.05) at the end of the 20 km test. Within the context of this experimental design, the CHO+P drink showed different physiological effects than the CHO drink, so that the CHO+P drink can be recommended for improving recuperation from intensive exercise. Although this was not reflected in post-recovery exercise performance in this 20 km test, a harder or longer test may be more affected by the physiological parameters.
Award Number: W81XWH-07-1-0349 TITLE: In Vivo Analysis of Alternative Modes of Breast Cancer Cell Invasion

Era of Hope Meeting, Baltimore, MD, June 25-28, 2008: The dissemination of breast cancer cells from a primary lesion to distant sites such as brain or bone presents the most serious threat to patient survival. As part of the metastatic process, cells must migrate from the primary tumor and invade into adjacent tissue and across the endothelial layer of blood vessels. The way in which tumor cells navigate through the fibrous extracellular matrix (ECM), however, is not clear. One proposed mechanism involves the loss of epithelial properties and the acquisition of a more motile, fibroblast (or mesenchymal)-like cell. These mesenchymal-like cells are characterized by an elongated, rather than cuboidal, morphology, as well as prominent actinrich protrusions at the leading edge of the cell. Adhesive forces at the front of the cell, together with co-ordinated waves of actomyosin contraction and retraction of the trailing edge, drives forward migration of these cells. In addition, the foremost membrane protrusions are often rich in protease activity which facilitates invasion by degrading the ECM at the front of the cell. Until recently, this epithelial-mesenchymal transition (EMT) was generally regarded as the predominant mechanism of tumor cell migration and invasion. Recent reports, however, describe an alternative form of cell movement in which the cells acquire a rounded or amoeboid morphology, allowing them to squeeze through interstitial spaces of the ECM. This form of movement is of great clinical interest, since it circumvents the need for pericellular proteolysis and may therefore complicate our ability to block metastasis using protease inhibitors. Importantly, it has been shown that various tumor cell lines have the capacity to switch from the elongated to the amoeboid form of movement in the presence of protease inhibitor cocktails in culture. This mesenchymalamoeboid transition (MAT) was shown to involve downregulation of Rac1 activity, which would normally drive formation of membrane protrusions through the assembly of a branched actin network at the leading edge of the
A View to Criterion for Organizes and Manages Unstructured Data

: The most difficult challenges when inquiring on the data that unstructured, these include Specified knowledges and execute many technique, this process has ability for error.Much information are generated when a lot of ore data presume strategical important in organization.The study presented anyway to criterion (UDMS)”unstructured datamanagement system”, in the starting to evolve a frame to supplying a service for applications programmer querying through ( UD) “ unstructured data ” . Initially it is offered UDMS's strategies, generic architecture, and stored underlying data model. To providing specified method to restore and managing (UD) "unstructured data" the affair of optimization queries are debate and too an expansion to ETUD, SQL. Lastly this research includes the relationships among (UDMS) "unstructured data management systems" and (DBMS) "database management systems".