Irreducible representations of the rational Cherednik algebra associated to the Coxeter group H_3

This paper describes irreducible representations in category O of the rational Cherednik algebra H_c(H_3,h) associated to the exceptional Coxeter group H_3 and any complex parameter c. We compute the characters of all these representations explicitly. As a consequence, we classify all the finite dimensional irreducible representations of H_c(H_3,h).Comment: Version 2: a minor error in 5.1 and its consequences in 3.1. and 3.2 corrected. Comments welcom

The Sierpinski Triangle and The Ulam-Warburton Automaton

This paper is about the beauty of fractals and the surprising connections between them. We will explain the pioneering role that the Sierpinski triangle plays in the Ulam-Warburton automata and show you a number of pictures along the way.Comment: 13 pages, 12 figure

Nutritional status, socio-economic and hygienic condition of school aged children of a village of Pune District, Maharashtra

Introduction: The field of anthropometry encompasses a variety of human body measurements, such as weight, height and size; including skin fold thickness, circumference, lengths, and breadths. Anthropometry is a key component of nutritional status assessment in children and adults. Anthropometric data for children reflect general health status, dietary adequacy and growth and development over time. The main objective of the study was to diagnose and analyze the magnitude and causes of nutritional and health problems of the village. Method: Anthropometric reference data of 100 children between 7-14 years of age from a small village situated 30 km from Pune. Using this data BMI i.e. Body Mass Index was calculated which helps in determining whether an individual is overweight or underweight. Result: The overall study helped us to find out the socioeconomic condition, hygienic condition as well as nutritional status of children. All the anthropometric measurements of the girls and boys in 7-14 years age group was found to be significantly normal. Conclusion: The hygienic condition of the village was good enough and in turn BMI data shows that the socioeconomic condition of the village was also good

Ceftraixone induced anaphylaxis and death: a case report

Ceftriaxone, a broad spectrum third generation cephalosporin antibiotic and sulbactam is a beta-lactamase inhibitor. The combination is used for pre-operative surgical prophylaxis for prevention is secondary bacterial infection.  We describe a patient who developed anaphylaxis and death soon after intravenous administration of ceftriaxone and sulbactam combination and review similar cases of adverse effects to these class of drugs. The patient was a 68 year old male admitted to surgery ward for obstructed inguinal hernia. He was prescribed injection ceftriaxone and sulbactam combination along with concomitant medication injection pantoprazole and injection metronidazole. The patient was injected injection ceftriaxone and sulbactam, within 15 minutes he suddenly developed anaphylactic shock and died for fluid aspiration in lungs during resuscitation. PubMed was searched for the following terms: anaphylaxis, ceftriaxone, sulbactam. The papers containing these terms and their references were reviewed. Anaphylactic shock caused by ceftriaxone is an uncommon adverse event in patients receiving the drug. However, similar reactions have been observed in some cases in India and world-wide. Clinicians should be aware that anaphylaxis secondary to ceftriaxone and sulbactam combination is a serious death threatening side-effect

Static Malware Detection using Deep Neural Networks on Portable Executables

There are two main components of malware analysis. One is static malware analysis and the other is dynamic malware analysis. Static malware analysis involves examining the basic structure of the malware executable without executing it, while dynamic malware analysis relies on examining malware behavior after executing it in a controlled environment. Static malware analysis is typically done by modern anti-malware software by using signature-based analysis or heuristic-based analysis. This thesis proposes the use of deep neural networks to learn features from a malware’s portable executable (PE) to minimize the occurrences of false positives when recognizing new malware. We use the EMBER dataset for training our model and compare our results with other known malware datasets. We show that using a simple deep neural network for learning vectorized PE features is not only effective, but is also less resource intensive as compared to conventional heuristic detection methods. Our model achieves an Area Under Curve (AUC) of 99.8% with 98% true positives at 1% false positives on the Receiver Output Characteristics (ROC) curve. We further propose the practical implementation of this model to show that it can potentially compliment or replace conventional anti-malware software

Intelligent nanoscale hydrogels for the oral delivery of hydrophobic therapeutics

In this work, novel oral drug delivery formulations were developed for the administration of hydrophobic therapeutics, with the overarching goal of improving their solubility and permeability in the gastrointestinal tract. We have developed a set of four nanoscale hydrogels, formulated by incorporating different hydrophobic monomer components, and screen them for optimal physicochemical properties, drug loading and release, and ability to modulate intestinal permeability and P-glycoprotein related drug efflux. Here, we employ an evolved paradigm of in vitro tests to gauge the potential of these novel nanoscale carriers for the specific application of improving oral solubility and permeability of poorly water-soluble and less permeable therapeutics. All the responsive nanoscale hydrogels are capable of undergoing a transition in size in response to change in pH. We capitalize on the interplay between the incorporated hydrophobic monomer choices and screened resulting physicochemical properties to determine an optimal nanoscale formulation. Depending upon the selection of the hydrophobic monomer, the sizes of the nanoparticles vary widely from 120 nm to about 500 nm at pH 7.4. We also evaluate cytocompatibility of the nanoparticle formulations in vitro in the presence of an intestinal epithelial cell mode to find that all formulations are reasonably cytocompatible. Subsequently, we discuss some of the key findings and results of characterization studies that validate the success of achieving desired molecular architecture and physicochemical properties of the formulation. We then confirm the capacity of the nanocarrier to be able to load and release hydrophobic therapeutics in gastrointestinally relevant environments. Further, the ability of the nanocarriers to transport the hydrophobic therapeutic doxorubicin is determined by evaluating permeability of doxorubicin with intestinal epithelial cell monolayers. Furthermore, demonstrate functional abilities desired from a therapeutically relevant, oral delivery system is tested. Specifically, to overcome problems associated with P-glycoprotein related efflux and reduced drug permeability in the small intestine, we evaluated the ability of the nanoformulation to achieve therapeutic success in relevant and characteristic in vitro cancer cell lines. Finally, we make concluding remarks on the ability of the nanoparticles to function as improved formulations of hydrophobic therapeutics capable of performing and achieving the end-goal of delivering hydrophobic therapeutics orally for the treatment of cancer.Chemical Engineerin

Enhancing the Security of Yioop Discussion Board

Yioop is an open-source web portal that serves as a search engine and a discussion board, enabling users to create, join, and share content within groups. Data security is a critical concern for Yioop, as it involves storing and accessing user-generated data and generating statistical data. Yioop has an existing security mechanism in place, but continuous enhancements are needed to protect against potential vulnerabilities and cyber threats. This project aims to strengthen the security of Yioop by implementing additional security measures that build upon the existing security mechanism. To prevent statistical attacks, this project extends differential privacy to mask the number of users in groups. Furthermore, a flag feature is added to allow users to flag posts that they find offensive, which is reviewed by a newly added moderator group. Secret sharing is employed to further fortify the encryption keys, ensuring that only authorized users with the required shares can potentially use the key. These security measures have been rigorously tested and evaluated to ensure that they effectively contribute to the overall security of Yioop, enabling users to enjoy secure interactions and content sharing within the portal while preserving their privacy and confidentiality. This report provides an in-depth overview of these security measures, their implementation, testing procedures, and their impact on Yioop’s overall security. The success of this project will contribute to a more secure environment for Yioop users, preserving user privacy and confidentiality while promoting secure interactions and content sharing within the portal

A Study on the Impact of Locality in the Decoding of Binary Cyclic Codes

In this paper, we study the impact of locality on the decoding of binary cyclic codes under two approaches, namely ordered statistics decoding (OSD) and trellis decoding. Given a binary cyclic code having locality or availability, we suitably modify the OSD to obtain gains in terms of the Signal-To-Noise ratio, for a given reliability and essentially the same level of decoder complexity. With regard to trellis decoding, we show that careful introduction of locality results in the creation of cyclic subcodes having lower maximum state complexity. We also present a simple upper-bounding technique on the state complexity profile, based on the zeros of the code. Finally, it is shown how the decoding speed can be significantly increased in the presence of locality, in the moderate-to-high SNR regime, by making use of a quick-look decoder that often returns the ML codeword.Comment: Extended version of a paper submitted to ISIT 201

Dynamic modeling, simulation and control design of a parafoil-payload system for ship launched aerial delivery system (SLADS)

The objective of this research was to develop a high-fidelity dynamic model of a parafoilpayload system with respect to its application for the Ship Launched Aerial Delivery System (SLADS). SLADS is a concept in which cargo can be transfered from ship to shore using a parafoil-payload system. It is accomplished in two phases: An initial towing phase when the glider follows the towing vessel in a passive lift mode and an autonomous gliding phase when the system is guided to the desired point. While many previous researchers have analyzed the parafoil-payload system when it is released from another airborne vehicle, limited work has been done in the area of towing up the system from ground or sea. One of the main contributions of this research was the development of a nonlinear dynamic model of a towed parafoil-payload system. After performing an extensive literature review of the existing methods of modeling a parafoil-payload system, a five degree-of-freedom model was developed. The inertial and geometric properties of the system were investigated to predict accurate results in the simulation environment. Since extensive research has been done in determining the aerodynamic characteristics of a paraglider, an existing aerodynamic model was chosen to incorporate the effects of air flow around the flexible paraglider wing. During the towing phase, it is essential that the parafoil-payload system follow the line of the towing vessel path to prevent an unstable flight condition called ‘lockout’. A detailed study of the causes of lockout, its mathematical representation and the flight conditions and the parameters related to lockout, constitute another contribution of this work. A linearized model of the parafoil-payload system was developed and used to analyze the stability of the system about equilibrium conditions. The relationship between the control surface inputs and the stability was investigated. In addition to stability of flight, one more important objective of SLADS is to tow up the parafoil-payload system as fast as possible. The tension in the tow cable is directly proportional to the rate of ascent of the parafoil-payload system. Lockout instability is more favorable when tow tensions are large. Thus there is a tradeoff between susceptibility to lockout and rapid deployment. Control strategies were also developed for optimal tow up and to maintain stability in the event of disturbances

Exploring a 'Good for Community' Collaboration Through the Lens of Social Capital: Narrative of Boileroom, Guildford

The lack of descriptions of 'good for community' collaborations of SMEs and my involvement in various such initiatives has shaped and driven this research. This dissertation aims to explore and describe one such unique case in depth. The collaborative engagement of the SME Boileroom, Guildford is chosen for this purpose. Through the description of this collaboration, this research intends to explore insights regarding the intersection of theories of social capital and collaboration. The research employs interpretive ethnography, which stems from subjective naturalism. The proposed collaboration was accessed as a volunteer. Participant observations data in the form of meeting notes, reflective descriptions, advertisements, various forms, company documents, email correspondence, photos etc. , as well as in-depth semi-structured interviews of three key informants guided this ethnography. Thematic inductive analysis aimed at creating a rich description was utilised to analyse this diverse data. The narrative that is created from this data sheds light on how such a phenomenon comes to be, the roles undertaken by Boileroom, the way the organisation has engaged with the community and the manner in which it has formed links. Some unique characteristics of this collaboration such as an unstructured approach towards the organising process, a broad overarching goal, down-up distribution of power, high levels of underpinned trust, and an organically developing, informal, and social nature of the initiative were observed. As the current theoretical insights were considered somewhat limited to explicate these characteristics, this research analysed them at length. From this analysis, I propose that the elements of the social capital theory, when linked with the theory of collaborative process, begin to provide us with a suitable foundation for discussing such 'good for community' collaborations. A perspective offered is that many of the unique characteristics observed were the result of a rich, endogenous stock of social capital. A causal conceptualisation of this social capital, which we can observe through a number of network configurations and behavioural features, has been presented. This research discovered various roles that social capital dimensions facilitated within this collaboration. The structural dimension was observed to have allocated power to participants. The relational dimension allowed for the substitution of social coordination for the formal structure and representation. It also facilitated a level of acceptance in collaboration themes such as the common goals, leadership, and trust. The discovery and description of such roles is the main contribution of this pilot study that has expanded the avenues for PhD research. Exploring further cases of 'good for community' collaborations, to assess the essence of this representation that is offered by the intersection of social capital and collaboration, as well as a detailed investigation of the roles of social capital in such setting has been recommended. The insights from this dissertation can be treated as a first step towards developing a theory of social capital within the collaboration literature