Miracle-dz/UniFAR-FTUs huggingface dataset:
Detection of Channel Stuffing

Based on a sample of firms that engaged in channel stuffing, we develop a model that predicts the probability of channel stuffing behavior in a broad cross-section of firms. Channel stuffing leads to accelerated revenue recognition by managing “real” activities to achieve short-term revenue and earnings targets. Given that channel stuffing is difficult to detect without the help of whistle-blowers, we control for undetected cases by estimating a bivariate probit model with partial observability. The model simultaneously estimates the effect of incentives, opportunities, and financial performance measures on the probability that a firm engages in channel stuffing and the probability that the channel stuffing activity is detected. Our results show that smaller firms, firms with higher growth opportunities, higher profit margins, and limited accrual management ability are more likely to engage in channel stuffing. A slowdown in receivables collection in the affected quarter serves as a significant indictor of channel stuffing. At the same time, we find that firm size, institutional holdings, Big-4 auditor, and tighter accounting regulation increase the detection probability and in turn reduce the probability of channel stuffing. Further analysis shows that firms that engage in channel-stuffing experience declining sales, production and profitability in future periods, suggesting that this activity achieves short-term benefits only at the price of long-term adverse consequences. Our results show that the power and specification of the bivariate probit prediction model is superior to that of the simple probit model. In an ex post validation analysis, we find that a sub-sample of the population of firms identified as having a high likelihood of channel stuffing by the bivariate probit model (but not by the simple probit model) exhibits future performance reversals that closely parallel those of the actual channel stuffing sample. These results highlight the need to control for the probability of detection to minimize misclassification in studies predicting accounting irregularities that are hard to detect.
Number : WUCSE-2009-1 2009 Partial Program Admission

Real-time systems on non-preemptive platforms require a means of bounding the execution time of programs for admission purposes. Worst-Case Execution Time (WCET) is most commonly used to bound program execution time. While bounding a program’s WCET statically is possible, computing its true WCET is difficult.We present a new technique we call partial program admission, a means of statically enforcing an otherwise untrusted assertion of WCET without adding runtime overhead, by means of code duplication. We apply this technique to real programs from the virtual networking arena and present the results. Type of Report: Other Department of Computer Science & Engineering Washington University in St. Louis Campus Box 1045 St. Louis, MO 63130 ph: (314) 935-6160 Partial Program Admission
Accelerating 2 D FFT : Exploit GPU Tensor Cores through Mixed-Precision Extended

The two-dimensional Fourier Transform is a widely-used computational kernel in many HPC applications. The popular NVIDIA cuFFT library provides a simple interface to compute 2D FFT on GPUs, but it’s yet to utilize the recent hardware advancement in half-precision floating-point arithmetic. In this poster, we propose a mixed-precision method to accelerate 2D FFT by exploiting the FP16 matrix-multiply-and-accumulate units on the newest GPU architecture, known as tensor cores. We achieve a balance between speed and accuracy by dynamically splitting the single-precision input data into two half-precision operands and performing FFT separately. We present a CUDA-based implementation that achieves 3-digit more accuracy than half-precision cuFFT. We also demonstrate the stability and scalability of our approach and conclude that it attains high accuracy with tolerable splitting overhead.
IMPROVING PERFORMANCE ENHANCEMENT & RELIABLE ROUTING OVER A MANET BY AVOIDING SELFISH NODE

A Mobile Ad Hoc network consists of wide range of mobile nodes that actively participate in data transmissions . The mobility and resource constraints of mobile nodes may lead to network partitioning or performance degradation. To avaid performance degradation several replication techniques have been proposed . The main objective is to reduce traffic overhead while achieving high data accessibility. Some nodes may selfishly decide to cooperate partially or not at all with other nodes. These selfish nodes could reduce the overall data accessibility in the network. In this Project using cluster replica allocation techniques with the developed selfish node detection method. The cluster replica allocations methods each cluster contain the cluster head. This cluster head are connected to nodes in single hop method. This cluster head are detect any selfish node cluster head are detect the another shortest route and transmission the data to the destination node. So we can achieve high data accessibility with low-communication cost and the reduced the delay time of the packet transmission in the presence of selfish nodes.
From Nanoscopic to Macroscopic Model of Stick-pulling Khepera Robots And its Formal Verification

The Modeling parallelism/ concurrency , without simulation by non-deterministic interleaving leads to deterministic models as opposed to stochastic models. If a robot is modeled in a monolithic manner representing multiple parallel threads sequentially, introducing probabilities to various transitions becomes inevitable and the resulting model turns out to be stochastic. In this work, we model the multi-threaded Khepera robots, each with multiple subagents that communicate with each other (intra-robot communication) as well as with such sub-agents of peer robots (inter-robot communication). The advantage of doing this is not only the true representation of the concurrent system, but also the deterministic nature of the model in place of a probabilistic one. Additional advantages are reduction of state-space explosion of the modeled swarm robotic system and the ease with which model-checking is performed using distributed branching-time logic.
Months Long Time Experience with the VenaSeal-System in Treatment of Truncal Varicose Veins

The paper is about long-time experiences in sealing truncal varicose veins: 76 month-follow up in treatment of 1128 cases and 2091 truncal varicose veins. Since 19 years by now, varicosis has been increasingly treated endovenously. At the start, the rather inconvenient VNUS® Closure plus-procedure and the more convenient linear laser procedure were used, and these were followed in 2006/2007 by the bipolar RFITT® catheter, the VNUS® Closure Fast system and the radial laser. Thus, in the course of the last few years, plenty of experience has been gathered with endoluminal therapy, quality criteria have been defined and standards for the different techniques have been developed. The present research paper sheds light on the advantages and disadvantages and presents the 76-months results of a single-center ambulatory clinical study with prospective design. We will report about our experiences and results of a prospective comparative study of VenaSeal®-Closure in the treatment of 2091 saphenous veins (1441 greater saphenous vein, 547 smaller saphenous veins, saphena akzessoria lateralis veins in 59 cases, saphena akzessoria medialis veins in 38, Giacomini veins in 2 and femoropopliteal veins in 4 cases). Treatment included also ulcera crures in 12 cases (Figure 1).
Some Aspects of the Interaction between Cotton Anionic Peroxidases and Verticillium dahliae Kleb .

Verticillium dahliae Kleb. is a phytopathogenic fungi which causes wilt disease in a wide range of crops, including cotton. In this study, we have examined the role of the peroxidase (POX) enzymes in cotton response to pathogen. We examined the inducibility of POXs through the experimental explosion of cotton (Gossypium hirsutum L.) cultivars by V. dahliae. The results of this study indicate that POX activity was associated with resistance and that its activity was correlated with levels of different resistance of cotton cultivars. POX activity of 7-day-old cotton seedlings increased in the presence of V. dahliae chitin and conidia in comparison with its activity in crude extract. This activation occurred in the chitin-sorbed fraction. Isoelectric focusing shows that cotton seedlings of var. ‘AN-Bayaut-2’ are considered to be resistant and had two anionic isoforms (pI 3.4 and 3.9) that bind to V. dahliae while ‘C-4727’ is considered to be susceptible and had only one of these types of isoforms (pI 3.1). The treatment of cotton seeds and seedlings by soluble chitosan revealed that POX activity was induced among all the tested plants. The role of POX in disease resistance was examined through an anti-fungal activity test of chitin-binding anionic isoforms. Significant anti-fungal activity of chitin-binding POX isoforms of the resistant cotton variety was observed. Microscopic examination of the hyphal growth inhibition zone revealed that the anionic chitin-bound POXs of ‘AN-Bayaut-2’ were able to arrest the growth of the pathogen. The use of POX activity as a preliminary marker for resistance of cotton cultivars to V. dahliae is suggested. _____________________________________________________________________________________________________________
Sequence Pattern Mining for Web Logs

Interestingness measures play an important role in finding frequently occurring patterns, regardless of the kind of patterns being mined. In this work, we propose variation to the AprioriALL Algorithm, which is commonly used for the sequence pattern mining. The proposed variation adds up the measure interest during every step of candidate generation to reduce the number of candidates thus resulting in reduced time and space cost. The proposed algorithm derives the patterns which are qualified and more of interest to the user. The algorithm, by using the interest, measure limits the size the candidates set whenever it is produced by giving the user more importance to get the desired patterns.
Study protocol: Language profile in mild cognitive impairment: A prospective study

Background: The present study will be a longitudinal investigation of language abilities in individuals with mild cognitive impairment (MCI). The research question will include whether there will be an evidence for language impairment in individuals with MCI, and if so, what aspects of language will be the most affected and whether language abilities will be significantly changed over a 12-month period. Methods: We will diagnose 30 individuals with mild cognitive impairment (MCI), Alzheimer’s disease (AD), and controlled participants using Montreal Cognitive Assessment-Basic (MoCA-B), as a cognitive test, and by asking expert opinions and conducting interviews. Participants will be selected from memory clinics and nursing homes in Tehran during 2018-2019. A comprehensive language test (Barnes Language Assessment (BLA)) will be performed to obtain baseline performance in the elderly. These tests will be repeated after 3, 6, and 12 months. Repeated measures analysis of variance (ANOVA) will be used to determine whether there will be a significant change in participants' language abilities over a 12-month period. In the case of deficient language performance, a discriminant function analysis will be used to identify the language task type that will be highly sensitive to change. Results and Conclusion: The present study will provide evidence for the nature of language change and will be done in a-year course on individuals with MCI and AD and on healthy elders. Also, in this study, the relative sensitivity of various language components to MCI will be determined, and the relationship between language performance and performance on (MoCA-B) neuropsychological test will be examined.
Mindfulness meditation practice can make concentration feel a little easier

In order to expand existing thinking about the effects of mindfulness meditation practice on attentional resource efficiency, the present study exposed 16 experienced meditators and 16 nonmeditators to a 13-minute sustained attention task and concurrent subjective workload measures. Results did not detect a between group difference in task scores, however a minimising effect of meditation practice on perceived workload was detected. This finding was interpreted to indicate an effect of mindfulness meditation practice on attentional resource efficiency.
A Cooking Assistance System for Patients with Alzheimers Disease Using Reinforcement Learning

With the rapid increase of population with Alzheimer’s disease, it has been more and more costly for the society to provide personal care to the patients. Artificial intelligence (AI) technologies, which are believed to significantly reduce the personal care cost, have been widely introduced to assist home care to the elderly people. In this paper, we design a reminder agent to help the patients with Alzheimer’s disease in cooking tasks. The reminder agent divides the cooking task into a set of subtasks, and optimizes the time a reminder is released to the patient in each subtask. The cooking procedure is formulated as an MDP with continuous action space. Due to the large scale of the formulated MDP, we propose a solution to the MDP based on reinforcement learning. Keyword: Reminder agent, MDP, reinforcement learning
Physiotherapy treatment of patient with chronic lumbar intervertebral disk herniation with radiculopathy

i Declarations . ii Acknowledgements . iii Dedications . iv 1. PREFACE . 1 2. GENERAL PART . 2 2.1 Anatomy and role of the vertebral column . 2 2.1. 1 Anatomy of ligaments of the vertebral column . 3 2.1. 2 Anatomy and function of intervertebral disc . 4 2.1. 3 Joints of the lumbar spine . 5 2.2 Spinal nerves and segmental innervation . 6 2.3 Kinesiology of the lumbar spine . 7 2.3. 1 The spine . 7 2.3. 2 Musculature related to lumbar spine . 8 2.3. 3 Extensors of the lumbar spine . 9 2.3. 4 Flexors of the lumbar spine . 11 2.3. 5 Lateral flexors of lumbar spine . 12 2.3. 6 Rotators of lumbar spine . 12 2.3. 7 Diaphragm . 13 2.3. 8 Pelvic floor muscles . 14 2.3. 9 Lower crossed syndrome . 15 2.4 Biomechanics of lumbar spine and mechanism of disk herniation . 16
Modeling electric vehicle charging infrastructure deployment and usage with an agent-based approach

This paper describes a model for electric vehicle (EV) charging infrastructure rollout (until 2035) and usage on the neighborhood scale. An agent-based approach is adopted to realistically model the complex interactions between the heterogeneous actors involved. EV buying behavior, driving patterns of residents (and commuters) and the charge point roll out policies determine the development of the charging network, both public and private. Moreover, the battery capacity of the EV, the distance to destinations and a charging strategy based on SoC (State of Charge) are used to model the usage of charge points (CPs) and thereby the impact on the electricity grid. Stringent rollout policies by the municipality result in 18 public CPs while relaxed rollout policies result in 70 public CPs in 2035. Two case studies using different neighborhoods are performed and the results suggest a public to private CP ratio of 0.22 for a residential neighborhood and 1.32 for a commercial neighborhood. The model does not consider realistic business cases for the CPO (Charge Point Operator), DC fast charging and developments in charging technology.
THE KEY CHARACTERISTICS OF NECESSITY : COMPARISON BETWEEN *

Three different types of employees can be found in workplaces all over the world: “Necessities,” “Commoners,” and “Parasites. ” A person is a Necessity if he/she is irreplaceable and crucial to the functioning of an organization. A Commoner is a person of normal ability and talent who has no significant impact on organizational success. Parasites are detrimental freeloaders who damage the functioning of an organization. To identify the principal characteristics of these three types of workers, a group of researchers led by Chong W. Kim conducted six studies in which they collected survey data from undergraduate and graduate business students in the U.S., India, Korea, Chile, and Japan. The summary of six published studies is reported in Kim, Smith, Sikula and Anderson (2011). The purpose of this article is to compare the results of these studies with newly collected data from working employees in order to identify the key trait differences of Necessity between students and working people's perception. The authors note the points of commonality and difference between these data sets and offer their thoughts on future research in this area.
Molecular Mechanisms of RNA Interference

Small RNA molecules regulate eukaryotic gene expression during development and in response to stresses including viral infection. Specialized ribonucleases and RNA-binding proteins govern the production and action of small regulatory RNAs. After initial processing in the nucleus by Drosha, precursor microRNAs (pre-miRNAs) are transported to the cytoplasm, where Dicer cleavage generates mature microRNAs (miRNAs) and short interfering RNAs (siRNAs). These double-stranded products assemble with Argonaute proteins such that one strand is preferentially selected and used to guide sequence-specific silencing of complementary target mRNAs by endonucleolytic cleavage or translational repression. Molecular structures of Dicer and Argonaute proteins, and of RNA-bound complexes, have offered exciting insights into the mechanisms operating at the heart of RNA-silencing pathways. 217 A nn u. R ev . B io ph ys . 2 01 3. 42 :2 17 -2 39 . D ow nl oa de d fr om w w w . a nn ua lr ev ie w s. or g A cc es s pr ov id ed b y 12 0. 89 . 1 14 . 1 65 o n 03 /1 5/ 16 . F or p er so na l u se o nl y. BB42CH10-Doudna ARI 6 April 2013 15:48
An operator-theoretic approach to synchronization of dynamically coupled biological rhythms

This paper studies synchronization mechanisms for networks of biological rhythms. The network is made up of compartments (e.g., E. coli in a cell culture) which consist of heterogeneous subsystems (e.g., reaction pathways) interconnected by internal signaling. The compartments are, in turn, interrelated through common medium. Based on this structural foundation, synchronization conditions are provided from operator-theoretic view of point, which involve the input-output properties of individual compartment together with topological structure of underlying networks. Furthermore, as an additional goal, the paper also provides synchronization criterion for the networks modeled in the formalism of state-space. Finally, the proposed theory finds bio-chemical applications in the networks of toggle switches and repressilators, respectively.
DETECTION OF NEW DELHI METALLO-BETA-LACTAMASE-1 (BLANDM-1) IN CARBAPENEM-RESISTANT PSEUDOMONAS AERUGINOSA ISOLATED FROM CLINICAL SAMPLES IN WASIT HOSPITALS

Background:Pseudomonas aeruginosa (P. aeruginosa) infections are clinical problem, it is a difficult to treat because of high resistant to many antibiotics (Multi-drug resistant) and a high risk of emergence of resistance during therapy. Carbapenems are therapeutic choice against infections caused by Gram-negative bacilli including strains of P. aeruginosa. New Delhi metallo-β-lactamase-1 (blaNDM-1) gene, an acquired class B carbapenemase. Dissemination predominantly involves transfer of the blaNDM-1 gene among promiscuous plasmids and clonal outbreaks. Bacteria with NDM-1 are typically resistant to nearly all antibiotics. Objective:To detect blaNDM-1 in the isolates of P. aeruginosa, which were recovered from various clinical samples from hospitalized patients in Wasit hospitals. Methods: This cross-sectional study involved 200 clinical samples were collected from three major hospitals in Wasit province. Samples were inoculated in Mackonkey and blood agar for primary isolation and then biochemical tests were used to confirm diagnosis of P. aeruginosa. The susceptibility test for 14 types of antibacterial drugs were tested by using disk diffusion method. Chromosomal and plasmid DNA were extracted by using special methods. Results: Out of 36 carbapenems resistant P. aeruginosa (CRPA) isolates, there were 18 isolates (50%) positive for blaNDM-1 gene. Conclusion: Rate of occurrence of blaNDM-1producers is highest among carbapenem-resistant P. aeruginosa isolated from clinical samples in Wasit hospitals. Therefore, its recognizable proof in clinical bacterial diseases will be suspected in any carbapenem resistance P. aeruginosa. Keywords: P. aeruginosa; carbapenems; metallo-β-lactamase; blaNDM-1 Citation: Hussein ZK, Kadhim HS, Hassan JS. Detection of New Delhi metallo-beta-lactamase-1 (blaNDM-1) in carbapenem-resistant pseudomonas aeruginosa isolated from clinical samples in Wasit hospitals. Iraqi JMS. 2018; 16(3): 239-246. doi: 10.22578/IJMS.16. 3.3
Predicted Observed Predicted Observed Predicted Observed Predicted ObservedPredicted Observed No occlusion With occlusions

We present a temporal 6-DOF tracking method which leverages deep learning to achieve state-of-the-art performance on challenging datasets of real world capture. Our method is both more accurate and more robust to occlusions than the existing best performing approaches while maintaining real-time performance. To assess its efficacy, we evaluate our approach on several challenging RGBD sequences of real objects in a variety of conditions. Notably, we systematically evaluate robustness to occlusions through a series of sequences where the object to be tracked is increasingly occluded. Finally, our approach is purely data-driven and does not require any hand-designed features: robust tracking is automatically learned from data.
RTE--A COMPUTERCODEFOR ROCKETTHERMAL VALUATION

The numerical model for a rocket thermal analysis code (RTE) is discussed. RTE is a comprehensive thermal analysis code for thermal analysis of regeneratively cooled rocket engines. The input to the code consists of the composition of fuel/oxidant mixture and flow rates, chamber pressure, coolant temperature and pressure, dimensions of the engine, materials and the number of nodes in different parts of the engine. The code allows for temperature variation in axial, radial and circumferential directions. By implementing an iterative scheme, it provides nodal temperature distribution, rates of heat transfer, hot gas and coolant thermal and transport properties. The fuel/oxidant mixture ratio can be varied along the thrust chamber. This feature allows the user to incorporate a non-equilibrium model or an energy release model for the hot-gas-side. The user has the option of bypassing the hot-gas-side calculations and directly inputting the gas-side fluxes. This feature is used to link RTE to a boundary layer module for the hot-gas-side heat flux calculations.