Miracle-dz/UniFAR-FTUs huggingface dataset:
Marketing Habituation and Process Study of Online Food Industry ( A Study Case: Zomato)

Online food ordering platform has become the new habit which makes e-commerce sector, one of the essential part of our daily lives. This sector has changed the mindsets altogether; from people who are willing to stand in line for hours to get a great deal to get the food is now on the fingertips and that too at your doorstep. Basically, this paper focuses on the elaborative study about marketing strategy and operations used by Zomato to become the pioneer into the Online Food Service sector. Furthermore, this paper aims to have insights about the marketing habituation of a web-based business which influenced people to change the perception about food ordering and to study the aspect by which the organization managed the processes of this growing sector. This paper contains a case study on Zomato, the largest online food ordering platform in India. Zomato became a strong brand where its every order makes sure that the customer gets habituated for the service he receives. We will learn about the marketing tactics which Zomato has used exceptionally to establish into the market successfully. Keywords: marketing, habitual, Zomato, web business, online food delivery, e-commerce
The Value of Amateur Analysts' Recommendations Extracted from Online Investment Communities

Understanding the value of information content of online investment communities is a fundamental issue for investors to leverage the content to make financial decisions. This study tries to investigate the relationship between economic variables and the content of amateur analysts’ opinions on online investment communities. We consider two specific research questions: (1) Do recommendations posted by amateur analysts on online investment communities help investors predict stock returns? (2) Is disagreement among the recommendations positively associated with trading volume? Our sample includes 95,784 pieces of financial analysis submitted by amateur analysts to Seeking Alpha which is an open online investment community for investment research. The results show that bearish recommendations from amateur analysts on Seeking Alpha predict stock returns, and the disagreement among the recommendations is positively related to trading volume. Overall, our findings suggest that amateur analysts’ recommendations are a valuable source of information in stock markets.
The Effect Of Hand Exercise On Grip Strength, Forearm Circumference, Diameter Of Vein, Blood Flow Volume And Velocity In Patient Who Underwent Arteriovenous Fistula Surgery And On Routine Haemodialysis

Background: The arteriovenous fistula (AVF) is considered the gold standard for haemodialysis access. The fistula needs time to be mature and functional. Maturation process respond to increases in blood flow. Exercise stimulates vascular response as such an increase of blood flow. Aims: The purpose of this study is to determine the effectiveness of hand exercise in increasing grip muscle performance, and its effectiveness in supporting maturation process of fistula.Methods: This experimental study done on 14 patients underwent AVF procedure and on routine haemodialysis. Randomly, 7 subjects allocated on intervention group by doing hand exercise using hand gripper (HG) for 5 weeks, and 7 subjects allocated as control group without introduction to hand gripper. Grip strength and forearm circumference were measured before and after 5 weeks of intervention. Cephalic vein diameter, blood flow volume and velocity were measured using Doppler USG on AVF arm. The comparison of intervention effects between groups treatment were analyzed based on effect size (ES). Results: Grip strength and forearm circumference increased significantly on intervention group before and after exercise intervention (p<.001, p=.001). Cephalic vein diameter and blood flow were increased significantly in this group (p=.027, p=.033). Blood flow velocity showed no difference before and after exercise intervention. Significant results were found on increased grip strength, forearm circumference, cephalic vein diameter and blood flow volume in comparison between treated group (p<.001; ES=.94, p<.001; ES=.4, p=.046; ES=.84, p=.035; ES=.53). There were no differences on cephalic vein blood flow velocity between these two groups.Conclusion: Five weeks hand exercise were effective to increase grip strength, forearm circumference, cephalic vein diameter and blood flow volume, nonetheless ineffective to increase cephalic vein blood flow velocity in post AVF procedure patients with routine haemodialysis.
A Lightweight Randomized Low Sampling Compression Technique Verified by GI with Merits over CR and IT Reconstruction Schemes

Compressive sensing (CS) is a novel sampling paradigm that samples signals in a much more efficient way than the established Nyquist Sampling Theorem. CS has recently gained a lot of attention due to its exploitation of signal sparsity. This paper gives a brief background on the origins of this idea, reviews the basic mathematical foundations of the sampling theory and compares the different reconstruction schemes. In our work, a signal is generated and sampled using the CS method. Then the original signal is reconstructed using three different reconstruction schemes namely Greedy Iterative (GI), Convex Relaxation (CR), and Iterative Thresholding (IT). The accuracy and the time taken for these three schemes are calculated and compared. It was found that Greedy Iterative took the least time for reconstruction with a lower error rate amongst the three schemes.
Olethreutine Moths of the Midwestern United States

Every now and then, a book comes along that makes one’s work vastly easier. The Olethreutine Moths of the Midwestern United States is such a publication, and for that, I for one am grateful. This large-format book combines wonderful full-color habitus shots of specimens with photographs of male and female genitalia. It covers a fairly large geographic area and treats 306 species. Prior to this I often had to depend on more scattered and often antiquated literature to identify many of my olethreutine tortricids. Opening the book is a brief section on historical perspectives that covers the big names in olethreutine taxonomy. It is refreshing to see our historical entomological forefathers brought to light and this history really helps illuminate the stories behind the names. Following is a concise, very well written section on morphology. The illustrations here are excellent, and assist greatly in explaining genitalic terminology. There is a color printing error in the wing venation figure, however, it is merely an aesthetic issue. The species accounts section comprises much of the remainder of the book. It begins with a list of the species covered and 5 plates of life-sized photographs of all species for quick comparison. Here and throughout the species accounts, the book follows an intuitive numbering system, making the association of photos and accounts easy. Each genus is introduced with a good synopsis and often has references for further information. The species accounts themselves have an attractive layout, with the text on the left and one or occasionally two large photographs of the whole insect on the right. Each account consists of the forewing length, flight period, distribution, biology, and remarks. For a few of the variable species, it might have been preferable to have included more than two photos. The genitalia photographs are large and there are many on the same page, allowing for easy comparison. My only complaint about the genitalia photographs is that only the ostium region is shown for most females. Inclusion of the corpus bursae for more species would have been helpful. In general, however, what is figured is more than sufficient. Steven Passoa contributed to Part III, which updates McKay's treatment of olethreutine larvae. It provides detailed information on early stages of olethreutines and it is well illustrated. There is also rearing and preservation information for larvae followed by a key to common species. I would, however, have preferred this section to have been incorporated into the main text, because in this format it almost appears to be an afterthought to the rest of the book. Overall, this is a marvelous book and deserves to be on the bookshelf of every lepidopterist. For myself, it has been a valuable and well-used tool for identifying olethreutine tortricids. Todd Gilligan, Don Wright, and Loran Gibson should be commended on such a wonderful work.
Goodness-of-fit tests in measurement error models with replications

In this dissertation, goodness-of-fit tests are proposed for checking the adequacy of parametric distributional forms of the regression error density functions and the error-prone predictor density function in measurement error models, when replications of the surrogates of the latent variables are available. In the first project, we propose goodness-of-fit tests on the density function of the regression error in the errors-in-variables model. Instead of assuming that the distribution of the measurement error is known as is done in most relevant literature, we assume that replications of the surrogates of the latent variables are available. The test statistic is based upon a weighted integrated squared distance between a nonparametric estimate and a semiparametric estimate of the density functions of certain residuals. Under the null hypothesis, the test statistic is shown to be asymptotically normal. Consistency and local power results of the proposed test under fixed alternatives and local alternatives are also established. Finite sample performance of the proposed test is evaluated via simulation studies. A real data example is also included to demonstrate the application of the proposed test. In the second project, we propose a class of goodness-of-fit tests for checking the parametric distributional forms of the error-prone random variables in the classic additive measurement error models. We also assume that replications of the surrogates of the error-prone variables are available. The test statistic is based upon a weighted integrated squared distance between a nonparametric estimator and a semi-parametric estimator of the density functions of the averaged surrogate data. Under the null hypothesis, the minimum distance estimator of the distribution parameters and the test statistics are shown to be asymptotically normal. Consistency and local power of the proposed tests under fixed alternatives and local alternatives are also established. Finite sample performance of the proposed tests is evaluated via simulation studies. Goodness-of-fit tests in measurement error models with replications
A binocular parallel rendering method for VR globes

ABSTRACT The scene-rendering mechanism based on binocular vision is one of the key techniques for the VR globe to achieve immersion-type visualization of global 3D scenes. However, this special rendering mechanism also requires that the 3D scene is continuously drawn twice within one frame, which significantly affects the rendering efficiency of VR globes. Therefore, we propose a binocular parallel rendering method. This method first improves the current rendering process of VR globes by assigning the rendering tasks for the left and right camera of VR to be processed on different CPU cores, thereby achieving parallel rendering of binocular scenes. Second, due to the problem of inconsistent resolution of binocular scenes caused by different viewpoints for the left and right cameras, we propose a resolution synchronize algorithm. this algorithm conducts real-time synchronization on the resolution of scene in the rendering process and thus avoids the problem of erroneous binocular stereo matching. Finally, we validate the effectiveness of the method in this paper through experiments. The results of experiments indicate that while the method in this paper can ensure the consistency of binocular scene resolution, it can decrease the frame time of VR globes by approximately 27% on average.
Expanding the crispr toolbox with mad7 in zebrafish and human cells

Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) and CRISPR associated (Cas) effector proteins enable the direction of DNA double-strand breaks at defined loci based on a variable length RNA guide specific to each effector. The guides are generally similar in size and form, consisting of a ∼20 base sequence homologous to the DNA target and a secondary structure used by the effector for guide/nuclease recognition. However, the effector proteins vary in size, DNA binding kinetics, nucleic acid hydrolyzing activities, and Protospacer Adjacent Motif (PAM) requirements. Recently, a Cas12a family member protein named Mad7 was identified that is most similar to the Cas12a from Acidaminococcus sp. Here, we report for the first time Mad7 activity in zebrafish and human cells. We utilize a fluorescent reporter system to demonstrate CRISPR/Mad7 elicits strand annealing mediated DNA repair more efficiently than CRISPR/Cas9. Finally, we use CRISPR/Mad7 with our previously reported gene targeting method GeneWeld in order to integrate reporter alleles in both zebrafish and human cells. Together, this work provides methods for deploying an additional CRISPR/Cas system, increasing the flexibility researchers have in applying genome engineering technologies.
An improved Langmuir probe formula for modeling satellite

The Langmuir plasma probe model is an important tool in spacecraft current collection and charging calculations. In ideal geometries, such as a sphere or an tv infinitely long cylinder, the model is well understood. However, the realistic geometries of current collectors, or spacecraft, are nonideal. An empirical formula for a Langmuir probe with a given nonideal geometry would be useful. We derive such a formula for the SCATHA satellite by using the SClO potential data obtained during electron beam emissions. The satellite rotated perpendicular to sunlight with the SC10 booms in the equatorial plane. We choose one special mode of operation during a quiet space environment. In this mode the beam current increased continuously, while the energy remained constant. We analyzed the variations of the vehicle potential responding to the unique driving factor, the beam current. To provide physical explanation to the behavior of the SC1O potential data, we model the interactions between the beam, photoelectron, and ambient currents. We present an algorithm which successfully yields an empirical Langmuir probe formula for SCATHA, from which we obtain improved estimate of ambient electron temperatures and densities. The results predicted by the improved Langmuir probe model compare favorably with the very few published measurements from the region. 14. SUBJECT TERMS 15. NUMBER OF PAGES Spacecraft charging, Spacecraft interactions, Langmuir probe, 9 SCATHA, Satellite, Geostationary, Geosynchronous, Electron 16. PRICE CODE beam 17. SECURITY CLASSIFICATION 18. SECURITY CLASSIFICATION 19. SECURITY CLASSIFICATION 20. LIMITATION OF ABSTRACT OF REPORT OF THIS PAGE OF ABSTRACT UNCLASSIFIED UNCLASSIFIED UNCLASSIFIED SAR NSN 7540-01-280-5500 Standard Form 298 (Rev 2-89) Pr~enfbea by ANSI Std Z39-18
The Study of Routing Protocol for UAV Flock Network

This paper studies the networking technology and routing protocol which is commonly used in UAV ad hoc networks, provides profound understanding about the working principle of the routing algorithm and proposes a routing algorithm based on minimal ID clustering. This method can reduce the cost of routing algorithm and flooding broadcast, which is suitable for high dynamic UAV fleet networking.
Specific absorption rate reduction using metasurface unit cell for flexible polydimethylsiloxane antenna for 2.4 GHz wearable applications

This article presents the design of a polydimethylsiloxane based flexible antenna for body worn applications. In order to reduce the specific absorption rate (SAR) metasurface (MS) based unit cell is proposed. Copper foil of thickness 3 mil considered for conducting layers. The proposed antenna is designed with leaf structure and covers the WLAN ISM band 2.4 GHz without metasurface (NMS) and with metasurface (WMS) unit cell. The MS unit cell at the backside of the antenna does not cover the entire antenna but only a portion of it where the backward energy is highly concentrated. This yields better result in reducing the SAR with a very compact sized MS unit cell. This MS structure improves the gain of an antenna and also reduces the SAR, by directing the radiating energy in opposite direction from the human user. The proposed antenna NMS has a simulated SAR value of 2.53 W/kg at 2.4 GHz over volume of 1 g of tissue, whereas WMS it is reduced to 1.53 W/kg. The comparative analysis of the proposed antenna presented with the help of performance matrices like reflection coefficient, SAR, gain, and radiation patterns.
Conditions for Loss Averse and Price Behavior Gain Seeking Consumer

It is commonly accepted that consumers use a reference price when evaluating prices in a category. Researchers have extensively studied if existing data reveals loss aversion, i.e. that consumers put more emphasis on prices above the reference price (perceived losses) than prices below it (gains). Reference price and loss aversion are corner stones in Kahneman and Tversky’s prospect theory. In this article conditions for loss aversive and gain seeking behavior are developed when the consumers’ preferences are given by a random additive utility model and the choice model is McFadden’s conditional multinomial logit. In the results prospect theory plays only a minor part and, perhaps surprisingly, the market share of the product is a key player.
An overview of cloud‐fog computing: Architectures, applications with security challenges

With the growing needs of data across the world, it almost hard to live without data a day. This is almost a blessing in disguise for the researchers working on different domains and dealing with huge amounts of data. The fog computing concept is aiming to change the scenarios created by cloud computing environments and also to make the data‐centric clouds decentralized and localized. Fog devices contain only specific information that is frequently used in it and generally the size of the data in fog device is very less in comparison with cloud server. Fog stores only those data, which are frequently used by the users, rest it takes from the cloud itself. The motivation toward this field to make the data flow in various domain seamless and hassle free. Fog computing can be thought as an intermediate between the users and the cloud server, which connects end users easily and thus reduces the latency of the services. This paper discusses the three layered data flow architecture for fog computing and it proposes several novel architectures such as energy lattices, MediFog, UXFog, connected parking system, and FoAgro to utilize the concept of fog computing.
Mental health service utilization in a sexually diverse, representative sample of high school students

Abstract This article describes patterns of mental health service (MHS) utilization in the past 12 months (counselor or community worker, group meeting attendance, and prescribed medication) across gender, sexual orientation, and perceived discrimination based on sexual orientation and/or gender expression. We conducted a self-administered survey in a sample of 8,194 students in grades 10, 11, and 12 (mean age = 15.4; 58% girls; 18% sexual minority youths [SMY]) from 34 randomly selected high schools from an eligible pool from the Quebec Ministry of Education. The most common MHS used was consulting a counselor or a community worker (15%), followed by group meeting attendance (5%), and having medication prescribed (3%). After controlling for mental health status and sociodemographic variables, and despite variations among sexual orientation subgroups, SMYs were consistently equally or more likely than different-gender-attracted youths to report using the MHSs investigated. Perceived discrimination based on sexual orientation and/or gender expression was associated with higher rates of MHS utilization. This study contributes to a better understanding of youths’ MHS utilization and highlights the role of perceived discrimination based on sexual orientation and/or gender expression in triggering MHS needs.
M a T E M a T I C K O -f Y Z I K Á L N Í F a K U L T a Conversion of Syntagrus (the Russian Dependency Treebank) to Universal Dependencies

This report presents the Universal Dependency (UD) annotated corpus for Russian and a conversion process which was developed to transform SynTagRus, the Russian dependency treebank, into a UD-style annotated corpus. The aim of this work was to create a UD-style annotated corpus for Russian since no such corpus was available prior to UD release 1.3. The conversion rules were based on manually analyzed examples and statistics that were extracted from the corpus. The conversion itself was made automatically. Firstly, we provide a brief description of the SynTagRus treebank. Next, we present a detailed description of the conversion process and some ideas of our future work.
AMORTIZED COMPUTATIONAL COMPLEXITY 307 The paper contains five sections

A powerful technique in the complexity analysis of data structures is amortization, or averaging over time. Amortized running time is a realistic but robust complexity measure for which we can obtain surprisingly tight upper and lower bounds on a variety of algorithms. By following the principle of designing algorithms whose amortized complexity is low, we obtain "self-adjusting" data structures that are simple, flexible and efficient. This paper surveys recent work by several researchers on amortized complexity. ASM(MOS) subject classifications. 68C25, 68E05
Influence of Sunlight on Drinking Water in Packaging in Plastic Type of Polyethylene Terephtalate Related to Antimon Content

Water is an important substance in life. Increased population causes increased demand for quality drinking water. Existence of safe drinking water is urgently needed. The acquisition of sun exposure data on botteld water can cause the release of chemicals that are toxic to the water that one of them is very interesting antimony to be studied. Antimony is a contaminant of drinking water that can cause acute effects and chronic effects. The purpose of this study was to determine the amount of antimony that migrated into bottled water after exposure to sunlight after 8 hours of exposure. The study included "Pre-Post Test Control Group Design". The sampling metode was simple random sampling. The data obtained were tested using anova test. Anova test results showed a significant difference after treatment. The antimony level increased 2.17 times after treatment in the sample group and 1.41 times in the control group. This is indicated that exposure to sunlight had more antimony levels contained in drinking water that’s why storage of bottled drinking water at high temperatures is not recommended. The test results also show that there is a significant difference in storage time. Keywords: bottled drinking water, antimon, polyethylene terephthalate
AD-A 254 365 ft ELECTE AUG 24199211 A A Supply Contracts Under Bounded Order Quantities

It is the practice in some industries, as well as within multiplant organizations, to specify bounds on the range of allowable order values. That is, the buyer contracts to place an order within a small range in a future period. The specification of the range protects the supplier against large variations in the order at short notice, although it reduces the flexibility of the buyer to respond to demand changes in his own market. Hence, in exchange, the supplier is willing to reduce the price of the component to the buyer. This paper examines the implications of this specification for the production/inventory decisions. The optimal contract is determined from the structure of the solution to the production/inventory problem. Supply Contracts Under Bounded Orders