Overcoming Recession through Effective Business Communication Approaches (A Study in Indian Scenario)

No business activity can be completed without effective business communication network. The stage of economic turmoil is the most important time for any organization to regroup its strategy. At this juncture, strong, transparent and constant internal and external communication networks play a vital role. The global meltdown is a blessing in disguise for the organizations to invigorate their business communication network. The present paper aims to study multifarious approaches of Business Communication applied by Indian Organizations to combat the turbulent period of recession in a successful manner.

Electro-optic probes and test generators for 500 Kv nanosecond pulses

This thesis describes a research investigation into novel probes for the measurement of ultra-fast voltage pulses with a peak value up to 500 kV, and during the course of the work five probes were constructed for voltages of between 60 kV and 500 kV. Essential requirements of the probes are that they should be immune to high-levels of electromagnetic noise and also isolate the measuring equipment from the high voltage of the test circuit. Their designs were therefore based on an electro-optic (Pockels) Cell rather than on an electromagnetic device. The first item in the probe is a capacitive divider that attenuates the high-voltage under investigation to the level that can be fed to a Pockels Cell. Light from a laser is circularly polarized and passes through the Cell, with the attenuated voltage pulse causing the Cell crystal to change its molecular shape. This produces a change in the refractive index of the crystal and the emerging light signal becomes elliptically polarized. After conversion into electrical form, a waveform is displayed on an oscilloscope that is an accurate representation of the input voltage to the capacitor. To test the performance of a probe requires a generator capable of producing the required high voltage with a very short rise time, and a number of these were developed for use with the different probes. Careful comparisons of the performance with that of several commercially available probes showed unequivocally that the new probes were far superior. The thesis concludes by presenting ideas for future probe designs and suggests what form the ultimate probe might take. Much of the work reported in the thesis has already been presented at major international conferences or in prestigious academic journals

Measuring the response of human head and neck squamous cell carcinoma to irradiation in a microfluidic model allowing customized therapy

Radiotherapy is the standard treatment for head and neck squamous cell carcinoma (HNSCC), however, radioresistance remains a major clinical problem despite significant improvements in treatment protocols. Therapeutic outcome could potentially be improved if a patient's tumour response to irradiation could be predicted ex vivo before clinical application. The present study employed a bespoke microfluidic device to maintain HNSCC tissue whilst subjecting it to external beam irradiation and measured the responses using a panel of cell death and proliferation markers. HNSCC biopsies from five newly-presenting patients [2 lymph node (LN); 3 primary tumour (PT)] were divided into parallel microfluidic devices and replicates of each tumour were subjected to single-dose irradiation (0, 5, 10, 15 and 20 Gy). Lactate dehydrogenase (LDH) release was measured and tissue sections were stained for cytokeratin (CK), cleaved-CK18 (cCK18), phosphorylated-H2AX (λH2AX) and Ki.67 by immunohistochemistry. In addition, fragmented DNA was detected using terminal deoxynucleotidyl transferase dUTP nick end labelling (TUNEL). Compared with non.irradiated controls, higher irradiation doses resulted in elevated CK18-labelling index in two lymph nodes [15 Gy; 34.8% on LN1 and 31.7% on LN2 (p=0.006)] and a single laryngeal primary tumour (20 Gy; 31.5%; p=0.014). Significantly higher levels of DNA fragmentation were also detected in both lymph node samples and one primary tumour but at varying doses of irradiation, i.e., LN1 (20 Gy; 27.6%; p=0.047), LN2 (15 Gy; 15.3%; p=0.038) and PT3 (10 Gy; 35.2%; p=0.01). The λH2AX expression was raised but not significantly in the majority of samples. The percentage of Ki.67 positive nuclei reduced dose-dependently following irradiation. In contrast no significant difference in LDH release was observed between irradiated groups and controls. There is clear interand intra-patient variability in response to irradiation when measuring a variety of parameters, which offers the potential for the approach to provide clinically valuable information

Political network structures as a special form of management

В статье исследуются основные подходы к анализу политических сетевых структур и возможность использования сетевых структур в современном управлении.This article examines the main approaches to the analysis of political networking and the use of network structures in modern management

SOCIAL COMPUTING: AN INTELLIGENT AND RESPONSIVE SYSTEM

This paper deals with the advantages of a graphical database over conventional database in terms of real world applications. The unique property exhibited by the graphical databases which is, that the edges inside the graph which is the relationship between the nodes can be dynamically changed in real time without any computational overrides thereby providing a more optimized structure to compute and manipulate, is given as a hypothesis in this paper. It also throws light on how the data mining techniques can be implemented in the social networking, thus making it more intelligent and responsive systém. It also propose a methodology to generate a social graph of user’s action and predict future social activities using graph mining. Through this model, we believe that it becomes clearer that data from different contexts can be related such that new solutions can be explored and thus, it may provide illumination for the aforementioned problems and stimulate new research

Label Poisoning is All You Need

In a backdoor attack, an adversary injects corrupted data into a model's training dataset in order to gain control over its predictions on images with a specific attacker-defined trigger. A typical corrupted training example requires altering both the image, by applying the trigger, and the label. Models trained on clean images, therefore, were considered safe from backdoor attacks. However, in some common machine learning scenarios, the training labels are provided by potentially malicious third-parties. This includes crowd-sourced annotation and knowledge distillation. We, hence, investigate a fundamental question: can we launch a successful backdoor attack by only corrupting labels? We introduce a novel approach to design label-only backdoor attacks, which we call FLIP, and demonstrate its strengths on three datasets (CIFAR-10, CIFAR-100, and Tiny-ImageNet) and four architectures (ResNet-32, ResNet-18, VGG-19, and Vision Transformer). With only 2% of CIFAR-10 labels corrupted, FLIP achieves a near-perfect attack success rate of 99.4% while suffering only a 1.8% drop in the clean test accuracy. Our approach builds upon the recent advances in trajectory matching, originally introduced for dataset distillation

Static Race Detection for RTOS Applications

We present a static analysis technique for detecting data races in Real-Time Operating System (RTOS) applications. These applications are often employed in safety-critical tasks and the presence of races may lead to erroneous behaviour with serious consequences. Analyzing these applications is challenging due to the variety of non-standard synchronization mechanisms they use. We propose a technique based on the notion of an "occurs-in-between" relation between statements. This notion enables us to capture the interplay of various synchronization mechanisms. We use a pre-analysis and a small set of not-occurs-in-between patterns to detect whether two statements may race with each other. Our experimental evaluation shows that the technique is efficient and effective in identifying races with high precision