Miracle-dz/UniFAR-FTUs huggingface dataset:
Seasonal and interannual variability of physical and biological dynamics at the shelfbreak front of the Middle Atlantic Bight: nutrient supply mechanisms

Abstract. A high-resolution, 3-dimensional coupled biophysical model is used to simulate ocean circulation and ecosystem variations at the shelfbreak front of the Middle Atlantic Bight (MAB). Favorable comparisons between satellite observations and model hindcast solutions from January 2004 to November 2007 indicate the model has intrinsic skills in resolving fundamental physical and biological dynamics at the MAB shelfbreak. Seasonal and interannual variability of ocean physical and biological states and their driving mechanisms are further analyzed. The domain-wide upper water column nutrient content is found to peak in late winter-early spring. Phytoplankton spring bloom starts 1–2 months later, followed by zooplankton bloom in early summer. Our analysis shows the variability of shelfbreak nutrient supply is controlled by local mixing that deepens the mixed layer and injects deep ocean nutrients into the upper water column and alongshore nutrient transport by the shelfbreak jet and associated currents. Nutrient vertical advection associated with the shelfbreak bottom boundary layer convergence is another significant contributor. Spring mean nutrient budget diagnostics along the Nantucket transect are compared between nutrient rich 2004 and nutrient poor 2007. Physical advection and diffusion play the major role in determining strong interannual variations in shelfbreak nutrient content. The biological (source minus sink) term is very similar between these two years.
ON-CHIP SEQUENTIAL MOLECULE DELIVERY INTO ISOLATED CELLS USING VORTEX ASSISTED ELECTROPORATION

We demonstrated a single-cell level microscale electroporation system, allowing sequential delivery of various molecules into pre-selected identical populations of target cells. Inherently membrane-impermeant molecules can be transferred uniformly across entire cytosol with a precisely controlled amount. Additionally, the system allows real-time monitoring of on-chip biomolecule delivery processes without the need for additional target-cell purifications preor post-electroporation steps, minimizing costly reagent usage and sample loss. The system’s high sample viability and electroporation efficiency with minimized sample-loss suggest that the current system has great potential to expand research fields that on-chip electroporation techniques can be used.
Emmy Noether’s enduring legacy in symmetry

A short appreciation of Emmy Noether’s original contributions to symmetry analysis of differential equations and variational problems. The essays appearing in this thematic issue rightly celebrate the profound contributions to mathematics, physics, and beyond, made by Emmy Noether in her seminal contribution [35] published precisely one century ago. As is now well known, in this paper, she states and proves two fundamental theorems concerning symmetries of variational problems. The First Noether Theorem establishes the connection between continuous variational symmetry groups and conservation laws of their associated Euler–Lagrange equations. The Second Noether Theorem deals with the case when the variational symmetry group is infinite-dimensional, depending on one or more arbitrary functions of the independent variables, e.g., the gauge symmetry groups arising in relativity and physical field theories. The first conclusion is that the conservation laws associated with its one-parameter subgroups are all trivial, meaning that they provide no information concerning the behavior of solutions to the field equations. This result enabled Noether to fully explain the triviality of the energy conservation law in general relativity, which was perplexing Einstein, Hilbert, and Klein and was the primary reason that the latter two mathematicians had invited her, as an expert in invariant theory, to visit Göttingen during the period of Hilbert’s intense rivalry with Einstein, when they were vying to establish the foundations of general relativity. Noether explained that the triviality of the energy conservation law follows from the fact that its associated time translational symmetries form a subgroup of such an infinite-dimensional variational symmetry group of the relativistic Hilbert Lagrangian, thus resolving the relativistic energy conundrum. Soon after Noether’s paper appeared, Bessel–Hagen, [3], implementing Noether’s own suggestion, formulated a useful extension that relaxes the infinitesimal invariance condition by allowing a divergence term, leading to what are now known as divergence symmetries.
The Effect of Educational Program for High Risk People about Stroke Prevention

The lacks of general population knowledge aboutthe warning signs of strokes and the risk factors may increase the risk for having a stroke. For increasing awareness of the community about the disease, effective stroke prevention programs should be found to lower the incidence of strokes. More prevention and reduction of modifiable risks is needed. Aims of the study areto assess knowledge, practice and attitude about stroke among high risk peopleand toevaluatethe effect of educational program on knowledge practice and attitude of high risk people.An Interview sheet was used to collect data for this study. Results: the study showed that the age oftwo thirds of studied sample were more than 50 yearsold,morethan half of participants (68.3%) were from rural area and 45% of them were illiterate. Two thirds of participants had BMI ≥ 30. Majority of participants (80%) were hypertensive and about two thirds (65%) were diabetic. In relation to knowledge about definition of stroke, warning signs, risk factors and knowledge of immediate action and there were significance differences among pre, immediate and two months post program implementation. Conclusion: The knowledge about stroke, warning signs and symptoms, risk factors,prevention of complications and immediate action were improved by the educational program for high risk people of stroke. Moreover, the attitude toward the stroke became positive. Recommendations: Health education about strokes, warning signs and symptoms, risk factors,prevention of complications and immediate action should be introduced among high risk people in different settings.
Adoption of Integrated Pest Management Practices in Paddy and Cotton: A Case Study in Haryana and Punjab

The study has examined the adoption of IPM practices on cotton in Punjab and on paddy in Haryana and has assessed the impact of key socio-economic and institutional factors on IPM adoption. The Poisson count regression models have been used to analyze technology adoption. The awareness generation about technology through formal crop-specific IPM training provided by the farmers’ field schools has been found extremely effective in wider adoption of IPM in the study areas. Hence, investment in IPM education through these programmes will have long-term beneficial impact. Regarding effectiveness of extension services, the study has not shown (frequency of meeting extension personnel) any statistically significant impact on IPM adoption rates. Mixed evidence has been observed about the relationship between farm-size and adoption of IPM practices. In the case of paddy, a negative relationship has been observed, while the cotton has shown a positive relationship. The study has concluded that a higher gross value of crops does not appear to have a positive impact on IPM technology adoption in cotton.
Modeling of West Florida Shelf Circulation for Spring 1999

Mid-latitude continental shelves undergo a spring transition as the net surface heat flux changes from cooling to warming. Using in-situ data and a numerical circulation model we investigate the circulation and temperature budget on the West Florida Continental Shelf (WFS) for the spring transition of 1999. The model is a regional adaptation of the primitive equation, Princeton Ocean Model forced by NCEP re-analysis wind and heat flux fields and by river inflows. Based on agreements between the modeled and observed fields we use the model to draw inferences on how the surface momentum and heat fluxes affect the seasonal and synoptic scale variability, We account for a strong southeastward current at mid-shelf by the baroclinic response to combined wind and buoyancy forcing, and we show how this local forcing leads to annually occurring cold and low salinity tongues. Through term-by-term analyses of the temperature budget we describe the WFS temperature evolution in spring. Heat flux largely controls the seasonal transition, whereas ocean circulation largely controls the synoptic scale variability. Rivers contribute to the local hydrography and are important ecologically. Along with upwelling, river inflows facilitate frontal aggregation of nutrients and the spring formation of a high concentration chlorophyll plume near the shelf break (the so-called 'Green River'), coinciding with the cold, low salinity tongues. These features originate by local, shelf-wide forcing; the Loop Current is not an essential ingredient for spring transition of 1999.
A simple output-feedback controller for fed-batch cultures of microbial strains with overflow metabolism

Abstract An output-feedback controller is proposed for fed-batch cultures of microbial strains exhibiting overflow metabolism, i.e., cultures where cell strains may produce inhibiting metabolites when excess substrate is fed. The control objective is therefore to control the substrate feed rate in order to remain near the optimal substrate concentration during the whole culture. The proposed controller uses measurements of an output signal that can be calculated from on-line process data and determines the necessary dilution rate to maintain the output near its local, time-varying, maximum at all times. The controller is hybrid, combining a proportional plus integral controller with antiwindup, modified so that the error signal used in the feedback may change its sign according to a state machine which keeps track of whether the control action should be positive or negative. The transition is made smoothly to avoid chattering and based on an auxiliary variable which follows the local output maximum. Partial proof of convergence is given and simulations of the model of a yeast production system show the applicability of the proposed strategy.
Performance Enhancement for Geospatial Time-Series Data Prediction using Hash-Naive Bayes ( HNB ) Classification

Due to the increasing demand for cloud services and the threat of privacy invasion, the user is suggested to encrypt the data before it is outsourced to the remote server. The safe storage and efficient retrieval of d-dimensional data on an untrusted server has therefore crucial importance. The paper proposed a new data distribution model which offers spatial order-preservation for ddimensional data. In our Research Hybrid HASH based naïve bayes classification system can be calculated using symmetric keys. We have similarly involved a specification of possessions of an distributed hash arrangement when using it to convinced use and matched our suggestion beside it. We have presented a security investigation of our method beside with recognized and enhance of the system using MATLAB 2014Ra.
K-Anonymity : A Big Player in Location Privacy for Mobile Query Processing

With the rapid development in technologies, the use of mobile devices is growing continuously. In this modern era, the number of small devices like PDAs, smart phone and sensors with different kind of data are being used for various purposes. It is very essential to access the computing and data from static as well as the moving devices. Mobile computing environment encompasses the mobility of hardware, communication among the moving devices. Mobile computing also deals with access to data as well as software residing on the mobile devices. We can access the data from mobile hosts using various kinds of queries like location queries, existence queries and data queries [1]. Data can be accessed by processing these different kinds of queries using a variety of methods, which have been proposed by the researchers. While processing the queries and accessing data from the mobile devices or host, there is a danger of violating the location privacy of the devices, hosts. It is very necessary to hide their identity by applying some methods so that the privacy of the mobile nodes could be preserved. In this paper, we are discussing the concept of k-anonymity which is used by the researchers for proposing the privacy preserving methods for query processing in mobile computing environment. This paper takes a review of different strategies of query processing using the k-anonymity in mobile computing environment.
An Efficient Motion Recognition System Based on LMA Technique and a Discrete Hidden Markov Model

—Human (cid:1) motion (cid:1) recognition (cid:1) has (cid:1) been (cid:1) extensively (cid:1) increased (cid:1) in (cid:1) recent (cid:1) years (cid:1) due (cid:1) to (cid:1) its (cid:1) importance (cid:1) in (cid:1) a (cid:1) wide (cid:1) range (cid:1) of (cid:1) applications, (cid:1) such (cid:1) as (cid:1) human-computer (cid:1) interaction, (cid:1) intelligent (cid:1) surveillance, (cid:1) augmented (cid:1) reality, (cid:1) content-based (cid:1) video (cid:1) compression (cid:1) and (cid:1) retrieval, (cid:1) etc. (cid:1) However, (cid:1) it (cid:1) is (cid:1) still (cid:1) regarded (cid:1) as (cid:1) a (cid:1) challenging (cid:1) task (cid:1) especially (cid:1) in (cid:1) realistic (cid:1) scenarios. (cid:1) It (cid:1) can (cid:1) be (cid:1) seen (cid:1) as (cid:1) a (cid:1) general (cid:1) machine (cid:1) learning (cid:1) problem (cid:1) which (cid:1) requires (cid:1) an (cid:1) effective (cid:1) human (cid:1) motion (cid:1) representation (cid:1) and (cid:1) an (cid:1) efficient (cid:1) learning (cid:1) method. (cid:1) In (cid:1) this (cid:1) work, (cid:1) we (cid:1)
The meta-analysis of CCR 5 genetic variants and diabetic nephropathy risk

Background: Some studied reported the association between CCR5 rs333, rs1799987 and diabetic nephropathy (DN) risk. However, the results were controversial. Therefore, we performed this meta-analysis. Method: We searched PubMed and Embase databases. The strength of association was assessed by computing odds ratio (OR) with its corresponding 95% confidence interval (CI). Results: Nine studies with including 3475 cases and 3492 controls were included. The result showed that rs1799987 polymorphism significantly predicted DN risk (OR=1.38, 95% CI, 1.17-1.63). In the stratified analysis by ethnicity, the significant association was observed in Asians and Caucasians. In the subgroup analysis by type of diabetes, both T1D and T2D patients with rs1799987 polymorphism had increased DN risk. In addition, rs1799987 polymorphism significantly associated with EDN risk, while this polymorphism was not associated with AND risk. As for rs333, no significant association between this polymorphism and DN risk was found (OR=1.36, 95% CI, 0.79-2.33), even in the subgroup analyses. Conclusion: In conclusion, this meta-analysis suggests that individuals with CCR5 rs333 polymorphism may have an increased DN risk.
Viewers' Perception of Elements Used in Game Live-Streams

Game live-streaming is a phenomenon attracting many people. A general analysis of which elements viewers in this context find interesting is important for platform vendors to inform future concepts, for content creators to better integrate their audience and for researchers to identify opportunities for future research. However, to our knowledge, this has not yet been done systematically. This paper contributes by presenting results of an online questionnaire (n=417) in which viewers' opinions on 58 elements (features, concepts and streamers' behaviors) were collected. We present the elements and a viewer's ranking of them. We also contribute aspects that are of relevance for the live-streaming context: among others, that many of the top-rated elements have an interactive component attached to them and that viewer integration is something that is appreciated by active and passive viewers alike, as long as it does not interfere with the streamer's performance unconditionally.
Variable Voltage Variable Frequency Drive for Single-Phase Motor and its Application

In this paper, the design & implementation variable voltage variable frequency (VVVF) drives scheme base on sinusoidal pulse width modulation (SPWM) technique for a single-phase induction motor. The main objective was to evaluate the popular variable speed drive schemes as they operate in their most efficient mode of under different loading conditions. The considered schemes included phase control, variable frequency drives, voltage control and also, with the mathematical expression. The VVVF technique used extensively in the industry as it provides the accuracy required at minimal cost.
Dynamics of Cytokine Regulation of Immunopathology in Mice Infected with Type I RH and Type II ME 49 Toxoplasma gondii Strains

A variety of host and parasite factors determine the outcome of Toxoplasma gondii infection and mice are generally used as an animal model to study these outcomes. In the present study, we studied the immunopathogenic characteristics of type I RH and type II ME49 T. gondii parasites in MF1 mice by correlating the dynamics of the pro-inflammatory cytokines IFN-γ, TNF-α, IL-18 and anti-inflammatory cytokines IL-4 and IL-10 in the blood and spleen tissue with the tissue pathology. All the mice died within 7 days post-infection with 100 tachyzoites of RH parasites however, the majority of mice inoculated orally with 10 cysts of ME49 developed a chronic infection and survived >84 days. Mice infected with RH parasites showed a strong Th2 response followed by a Th1 response characterized by extensive tissue damage. No IFN-γ was detected in the blood during the early stages of infection by day 3 which then increased sharply on day 4 and remained high till day 7 when the mice died. All pro-inflammatory cytokines measured in the spleen tissue on day 3 post-RH infection showed an increase. In mice infected with type II ME49 T. gondii parasites, there was a significant increase in the pro-inflammatory cytokines in the spleen tissue during the early stages (day3-7) of infection however, in contrast to most earlier studies using BALB/c and C57BL mice, no increase in TNF-α and IFN-γ was observed in the blood during the 1st week which then showed a marked increase during the 2nd week of infection. The cytokine profile switched to an anti-inflammatory Th2 response during the intermediate stages (day 1428) of the infection characterized by chronicity of infection with minimal tissue damage. During the late stages (day 42-84) of infection, a pro-inflammatory Th1 immune response was observed, associated with marked tissue damage.
STUDIES ON PRODUCTION OF DIFFERENT CHELATING GROUPS OF SIDEROPHORES BY MICROBIAL ISOLATES OBTAINED FROM RHIZOSPHERE SOIL

Four different isolates were derived from the fungal and bacterial origin from the soil sample taken from rhizosphere for the detection of siderophores production. Biochemical characters were studied and the isolates were identified. Isolated colonies were confirmed as E. coli, P. fluorescens, A. flavus, and Rhizopus sp. The high amount of siderophores production was observed by Pseudomonas fluorescens from bacterial isolates, and from fungal isolates Aspergillus flavus showed more production and produces hydroxamate type of siderophores in high production compared to that of the catecholate. Thus, we can conclude that rhizosphere soil organisms which produce siderophores can be used to improve the plant growth.
The Role of Business Process Management in Driving Digital Transformation: Insurance Company Case Study

Digital transformation is one of the latest trends on the global market. In order to maintain the competitive advantage and sustainability, increasing number of organizations are conducting digital transformation processes. Those organizations are changing their business processes and creating new business models with the help of digital technologies. In that sense, one should also observe the role of business process management (BPM) and its maturity in driving digital transformation. Therefore, the goal of this paper is to investigate the role of BPM in digital transformation process within one organization. Since experiences from practice show that organizations from financial sector could be observed as leaders in digital transformation, an insurance company has been selected to participate in the study. That company has been selected due to the high level of its BPM maturity and the fact that it has previously been through a digital transformation process. In order to fulfill the goals of the paper, several interviews, as well as questionnaires, have been conducted within the selected company. The results are presented in a form of a case study. Results indicate that digital transformation process within the observed company has been successful, with special focus on the development of digital strategy, BPM and change management. The role of BPM in the digital transformation of the observed company is further discussed in the paper. Keywords—Business process management, case study, Croatia, digital transformation, insurance company.
Application of Crude Aqueous Solution as a Larvicidal and Antibacterial Agent Extracted from Coconut Shells

Dry coconut shell pieces when subjected to extraction yields crude aqueous solution, which is further purified by distillation method. The larvicidal and antibacterial activity was studied for this crude aqueous solution. 3 and 4 instar larvae of Culex quinquefasciatus were used as clinical subject. Escherichia coli, Staphylococcus aureus, Salmonella typhi and Streptococcus pyogenes were used for antibacterial study. 10% v/v sample of crude aqueous solution gave 100% mortality within 24 hours whereas Salmonella typhi and Staphylococcus aureus were found highly susceptible to crude aqueous solution as it gave 31mm and 24mm zone of inhibition respectively.
Arming an Oncolytic Herpes Simplex Virus Type 1 with a Single-chain Fragment Variable Antibody against PD-1 for Experimental Glioblastoma Therapy

Purpose: Glioblastoma (GBM) is resistant to standard of care. Immune checkpoints inhibitors (such as anti-PD-1 mAbs) efficiently restore antitumor T-cell activity. We engineered a new oncolytic herpes simplex virus (oHSV) expressing a single-chain antibody against PD-1 (scFvPD-1) to evaluate its efficacy in mouse models of GBM. Experimental Design: NG34scFvPD-1 expresses the human GADD34 gene transcriptionally controlled by the Nestin promoter to allow replication in GBM cells and a scFvPD-1 cDNA transcriptionally controlled by the CMV promoter. ELISA assays were performed to detect binding of scFvPD-1 to mouse and human PD-1. In vitro cytotoxicity and replication assays were performed to measure NG34scFvPD-1 oncolysis, and scFvPD-1 expression and secretion were determined. In vivo survival studies using orthotopic mouse GBM models were performed to evaluate the therapeutic potency of NG34scFvPD-1. Results: NG34scFvPD-1–infected GBM cells express and secrete scFvPD-1 that binds mouse PD-1. The introduction of the scFvPD-1 sequence in the viral backbone does not alter the oncolytic properties of NG34scFvPD-1. In situ NG34scFvPD-1 treatment improved the survival with a tail of durable survivorship in 2 syngeneic immunocompetent mouse models of GBM. Mice that survived the first GBM challenge rejected the second challenge of GBM when implanted in the contralateral hemisphere. However, this was not true when athymic mice were employed as the recipients of the second challenge, consistent with the need for an intact immune system to obtain a memory response. Conclusions: NG34scFvPD-1 treatment induces a durable antitumor response in 2 preclinical mouse models of GBM with evidence for antitumor memory.