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It is argued that current state-of-the-art methods of home surveillance such as motion detection technology like CCTV intrusion alert are insufficient, in particular to cater the modern need of whole automation with vulnerabilities such as requiring human involvement. We propose an alternative system, a video-based Human Activity Recognition (HAR) approach using the combination of Convolution Neural Network (CNN) and Long Short-Term Memory (LSTM) algorithm, to dealwith the identified shortcomings. Our proposal does not require any changes to the existing home security protocols and is easily implemented using only low-cost, commercial-off-the-shelf hardware. We can easily use the traditional surveillance camera for computer vision tasks. We evaluate our approach using real-world activity data collected via video-based sensor. We quantify its effectiveness, by plotting Loss and accuracy curves. Our results show that the video-based HAR approach can provide full automation in home surveillancesystem compared to conventional CCTV motion detectors by an accuracy of more than 93%. Further system’s accuracy can be increased and we can achieve significantly better results by implementing LRCN (Long Term Recurrent Convolution Network) approach.

Steganography is a technique of hiding information in digital media. In recent years plenty of work has been done in this domain, and the work can be compared on various parameters such as high robustness and large capacity to achieve a goal. This paper proposed the method of steganography in digital media using Singular Value Decomposition (SVD) and Discrete Wavelet Transform (DWT). The DWT is a frequency-domain technique comprising DWT which comparatively offers better robustness and high PSNR value of stego image over other techniques. The proposed method works well for information hiding against AWGN (additive white Gaussian noise) attack and fulfills the objective to achieve high robustness and high PSNR.

Face recognition is a classic problem in the field of computer vision and popular due to its wide applications in real-world problems such as access control, identity verification, physical security, surveillance, etc. Recent progress in deep learning techniques and the access to large-scale face databases has led to a significant improvement of face recognition accuracy under constrained and semi-constrained scenarios. Deep neural networks are shown to surpass human performance on Labelled Face in the Wild (LFW), which consists of celebrity photos captured in the wild. This technology can be used to create a surveillance for the ingress systems with broad scope of application in multiple scenarios. The major ingress problems that will be address will include, but are not limited to: lack of automata, robust face normalization, discrimination, representation learning and the ambiguity of facial features caused by information loss. This paper discusses biometric ingress surveillance. With a brief review of the subject the paper presents an application in this domain that highlights the true potential of a surveillance system that can have face recognition as a biometric authentication to ingress at homes, offices, universities and other potential ingress systems.

Methylation of specific nucleotides is integral for ribosomal biogenesis and also serves as a common mechanism to confer antibiotic resistance by pathogenic bacteria. Here, by determining the high-resolution structure of the 30S-KsgA complex by cryo-electron microscopy, a state was captured, where KsgA juxtaposes between helices h44 and h45 of the 30S ribosome, separating them, thereby enabling remodeling of the surrounded rRNA and allowing the cognate site to enter the methylation pocket. With the structure as a guide, several mutant versions of the ribosomes, where interacting bases in the catalytic helix h45 and surrounding helices h44, h24, and h27, were mutated and evaluated for their methylation efficiency revealing factors that direct the enzyme to its cognate site with high fidelity. The biochemical studies show that the three-dimensional environment of the ribosome enables the interaction of select loop regions in KsgA with the ribosome helices paramount to maintain selectivity.

Introduction: Optimal inventory levels are necessary for a firm to avoid shortage/excess of an item. Shortage of an item leads to stock out conditions which results in loss of profit. When items are correlated with each other, stock out condition of one item may result in non purchase of its associated items also which, in turn, further brings down the profit. In this paper, this loss in profit is used to modify opportunity cost of an item resulting in its modified EOQ. Method: One illustrative example has been discussed which incorporates purchase dependencies in retail multi-item inventory management. The model discussed in this research paper will be motivational for researchers and inventory managers and provides a method for incorporating correlation among items while managing inventory. Result: The EOQs of items are estimated both by using traditional method and then by using modified opportunity cost (modeled as loss profit). Results show that in frequent item set A, B, D, EOQs of all three items increased when correlation among them is considered resulting in increase in profit. Conclusion: One of the major focus areas of inventory management is to determine when and how much quantity of items needs to be ordered so that total inventory cost can be minimized and profit of a firm can be maximized. However, while calculating the true value of an item and the profit it brings to the firm, it is very essential to analyze its effect on the sale of other items. Asso-ciation rule mining provides a way to correlate items by calculating support and confidence factor. Discussion: In inventory management system, for increasing the profit of a firm, EOQs of items need to be calculated in order to avoid shortage or excess of inventory. For explaining the approach a very small database is taken consisting of only 5 items and 10 transactions therefore the increase in profit is minimal however, when this approach applies on real database consisting of thousands of items and transactions, the increase in profit will be significant.

For the last couple of decades, azabenzene-based ligands have drawn much attention from inorganic chemists due to their ability to coordinate with different metal ions to form supramolecular clusters. These azabenzenes are weak σ donors and strong π acceptors and electron-deficient. Metallogrid complexes and non-grid oligomers are well-defined supramolecular clusters, formed by appropriate chelating ligands, and can show interesting optical, magnetic, and electronic properties. Self-assembly of [

Adherence has been defined as the “voluntary, active, and collaborative involvement of the patients in mutually acceptable courses of behaviour to produce desired therapeutic effects”. Medication adherence generally illustrates the term as to whether the patients take their medicines as per prescription instruction and either they keep on to take a prescribed medication. Medication adherence performance has thus been classified into two head conceptions, namely, adherence and persistence. Whilst theoretically similar, adherence refers to concentration of drug utilization for the duration of the ongoing treatment, whereas persistence refers to the general interval of drug therapy. Improving prescription adherence may impact the well-being of the populace than the revelation of any new treatment. Indian patients are not adherent to their medication half the time, mainly due to lack of proper education and patient counselling. Albeit most doctors do not accept adherence basically because of the absence of access or neglect, and no adherence can frequently be a purposeful decision made by the Indian patients. Persistent covering of their medicine taking conduct is regularly persuaded by feelings with respect to both supplier and the patient, prompting possible desperate outcomes. On time medicine taking behaviour of the patients have great impact on the health of people than the need for new treatment option. KEY WORDS Medication Adherence, Drug Therapy, Prescription, Wellbeing, Compliance, Chronic Disease

Carbene-based macromolecules are an emerging new stimuli-sensitive class of biomaterials that avoid the impediments of free radical polymerization but maintain a rapid liquid-to-biorubber transition. Activation of diazirine-grafted polycaprolactone polyol (CaproGlu) is limited to UVA wavelengths that have tissue exposure constraints and limited light intensities. For the first time, UVA is circumvented with visible light-emitting diodes at 445 nm (blue) to rapidly activate diazirine-to-carbene covalent cross-linking. Iridium photocatalysts serve to initiate diazirine, despite having little to no absorption at 445 nm. CaproGlu's liquid organic matrix dissolves the photocatalyst with no solvents required, creating a light transparent matrix. Considerable differences in cross-linking chemistry are observed in UVA vs visible/photocatalyst formulations. Empirical analysis and theoretical calculations reveal a more efficient conversion of diazirine directly to carbene with no diazoalkane intermediate detected. Photorheometry results demonstrate a correlation between shear moduli, joules light dose, and the lower limits of photocatalyst concentration required for the liquid-to-biorubber transition. Adhesion strength on ex vivo hydrated tissues exceeds that of cyanoacrylates, with a fixation strength of up to 20 kg·f·cm2. Preliminary toxicity assessment on leachates and materials directly in contact with mammalian fibroblast cells displays no signs of fibroblast cytotoxicity. Agency for Science, Technology and Research (A*STAR) Ministry of Education (MOE) Nanyang Technological University Accepted version T.W.J.S. and I.D. are co-inventors of patent application Hygroscopic, Crosslinking Coatings and Bioadhesives; PCT/ SG2018/050452. The project was supported by the Ministry of Education Tier 1 Grant RG17/18 (S): Novel light activated, diazo protecting groups; Ministry of Education Tier 2 Grant (MOE2018-T2-2-114): CaproGlu, double-sided wet tissue adhesives; NTUitive POC (Gap) Fund NGF/2018/05: Aesthetic Applications of CaproGlu Bioadhesives; and A*Star IAF PP Grant (H19/01/a0/0II9): CathoGlu Bioadhesives-preventing catheter extravasation and skin infections. L.B. acknowledges funding from the Spanish Ministry of Science and Innovation (MCIU), project PID2019- 104654GB-I00.

The wet environment in the oral cavity is challenging for topical disease management approaches. The compromised material properties leading to weak adhesion and short retention (8 h) in such environment result in frequent reapplication of the therapeutics. Composites of bacterial cellulose (BC) and carbene-based bioadhesives attempt to address these shortcomings. Previous designs comprised of aqueous formulations. The current design, for the first time, presents dry, shelf-stable cellulose patches for convenient ready-to-use application. The dry patches simultaneously remove tissue surface hydration while retaining carbene-based photocuring and offers on-demand adhesion. The dry patch prototypes are optimized by controlling BC/adhesive mole ratios and dehydration technique. The adhesion strength is higher than commercial denture adhesives on soft mucosal tissues. The structural integrity is maintained for a minimum of 7 days in aqueous environment. The patches act as selective nanoporous barrier against bacteria while allowing permeation of proteins. The results support the application of BC-based adhesive patches as a flexible platform for wound dressings, drug depots, or combination thereof.

Gastric cancer remains highly prevalent and accounts for a notable proportion of global cancer mortality and this is associated with poor survival rates. Understanding the molecular genetic changes of gastric carcinoma may offer an insight into its pathogenesis helps in identifying new biomarkers, aid prognostication, and novel treatment targets. Over a past few decades, advances in technology and high throughput analysis have improved understanding of the molecular genetic aspects of gastric cancer. In this article, hierarchy of the changes at genetic and molecular level including several aspects which are heterogenous and represents a wide spectrum such as tumor suppressor genes, oncogenes, cellcycle regulators, apoptosis, cell-adhesion molecules, loss of heterozygosity, microsatellite instability, and epigenetic changes. The classification of gastric carcinoma at molecular and genetic level as well as hereditary gastric carcinoma is elaborated. The molecular genetic aspects regarding pathogenesis, changes and aberrations of all genes and pathways which are involved in gastric cancer are addressed in this review.

The short wavelength photons (below 500 nm) of the solar spectrum are under-utilized in multicrystalline silicon (mc-Si) solar modules because of their high surface recombination losses. The application of luminescent down-shifting (LDS) materials is an effective way to utilize the short wavelength photons to enhance the efficiency of a mc-Si solar module. This study utilized four ‘natural’ dyes extracted from the wheat husk, rice husk, turmeric rhizomes (Curcuma longa L.), and Moringa Oleifera leaves for LDS application. These natural dyes showed absorption in the UV and blue range, and emission in the visible range which is effectively utilized by the silicon solar cell. Optimum concentrations of the natural dyes were incorporated in the front ethylene vinyl acetate (EVA) layers which were used to encapsulate bare Si cells into photovoltaic (PV) modules. The mc-Si PV modules which had the front encapsulation of EVA films containing the turmeric and moringa dyes showed relative enhancement of ~ 6.8% (±3.6) and ~ 9% (±4) respectively, in their efficiencies with respect to that of the corresponding bare silicon cells. The gains in the photovoltaic efficiency obtained with the turmeric and moringa dyes were found to be comparable to (or slightly greater than) the values reported in the literature using various Eu3+ based lanthanide complexes as LDS materials. Finally, the inclusion of natural LDS dyes in the encapsulating EVA layer would offer an economical and pro-environmental solution at high volume manufacturing to improve the utilization of short-wavelength photons.

Topical treatments for oral wounds and infections exhibit weak adhesion to wet surfaces which results in short retention duration (6-8 hours), frequent dosing requirement and patient incompatibility. To address these limitations, aqueous composites made of fibrillated bacterial cellulose and photoactive bioadhesives are designed for soft epithelial surfaces. The aqueous composites crosslink upon photocuring within a minute and exhibit a transition from viscous to elastic adhesive hydrogels. The light-cured composites have shear moduli mimicking oral mucosa and other soft tissues. The tunable adhesion strength ranges from 3 to 35 kPa on hydrated tissue-mimicking surfaces (collagen film). The results support the application of bacterial cellulose hydrogel systems for potential treatment of mucosal wounds. Agency for Science, Technology and Research (A*STAR) Ministry of Education (MOE) Submitted/Accepted version The project is partially supported by A*STAR IAF PP Grant (H19/01/a0/0II9): CathoGlu Bioadhesives-preventing catheter extravasation and skin infections; Ministry of Education Tier 2 Grant: CaproGlu, Double sided wet-tissue adhesives (MOE2018-T2-2-114).

Thiol/ene-based resorbable elastomers display tough elongation but lack adhesion to soft tissues. Carbene-based bioadhesives (e.g. CaproGlu) allow soft tissue adhesion, but the covalent crosslinks limit extensibility after photoactivation. Herein thiol/ene resorbable elastomers are combined with a carbene bioadhesive into a 3-component hybrid network by exploiting tunable photoactivation of each macromolecule independently or simultaneously. Dual crosslinking was monitored by photorheometry, where 405 nm initiates formation of a thiol/ene elastomeric network, followed by 365 nm activation of diazirine-grafted polycaprolactone tetrol (CaproGlu). Dynamic shear moduli, gelation point, elongation at break, and lap shear stress of the hybrid polymer network are evaluated with respect to absorbed light energy dose. Surface-exposed unreacted CaproGlu enables adhesion of the hybrid network to various substrates, as well as intermolecular crosslinking within the transparent matrix. The network morphology and functional group conversion is evaluated through scanning electron microscopy and infrared spectroscopy, respectively. For the first time, we demonstrate hybrid thiol/ene/diazirine double sided bioadhesives with tunable dynamic moduli in the range of 10–800 kPa and 160 kPa lap-shear adhesion strength. Agency for Science, Technology and Research (A*STAR) Ministry of Education (MOE) Nanyang Technological University Submitted/Accepted version This work is funded by Institute of Advanced Studies Birmingham Visiting Fellowship, ‘Strong Elastomeric Bioadhesives Towards Tendon Repair’; Ministry of Education Tier 1 Grant RT07/20: Fiber-optic orthopaedic implants for bone-implant adhesion, Ministry of Education Tier 2 Grant (MOE2018-T2-2-114): CaproGlu, Double sided wet-tissue adhesives, NTUitive POC (Gap) Fund NGF/2018/05: Aesthetic Applications of CaproGlu Bioadhesives, and A*STAR IAF PP Grant (H19/01/ a0/0II9): CathoGlu Bioadhesives-preventing catheter extravasation and skin infections.

Antibiotic resistance via epigenetic methylation of ribosomal RNA is one of the most prevalent strategies adopted by multidrug resistant pathogens. The erythromycin-resistance methyltransferase (Erm) methylates rRNA at the conserved A2058 position and imparts resistance to macrolides such as erythromycin. However, the precise mechanism adopted by Erm methyltransferases for locating the target base within a complicated rRNA scaffold remains unclear. Here, we show that a conserved RNA architecture, including specific bulge sites, present more than 15 Å from the reaction center, is key to methylation at the pathogenic site. Using a set of RNA sequences site-specifically labeled by fluorescent nucleotide surrogates, we show that base flipping is a prerequisite for effective methylation and that distal bases assist in the recognition and flipping at the reaction center. The Erm-RNA complex model revealed that intrinsically flipped-out bases in the RNA serve as a putative anchor point for the Erm. Molecular dynamic simulation studies demonstrated the RNA undergoes a substantial change in conformation to facilitate an effective protein-rRNA handshake. This study highlights the importance of unique architectural features exploited by RNA to impart fidelity to RNA methyltransferases via enabling allosteric crosstalk. Moreover, the distal trigger sites identified here serve as attractive hotspots for the development of combination drug therapy aimed at reversing resistance.

Topical approaches to oral diseases require frequent dosing due to limited wound retention times. A mucoadhesive drug delivery platform is proposed for oral wound sites with soft tissue adhesion capability of up to 7 days. Bacterial cellulose (BC) and photoactivated carbene-based bioadhesives are combined to yield flexible film platform for interfacing soft tissues in dynamic, wet environments. Structure-activity relationships evaluate UV dose and hydration state with respect to adhesive strength on soft tissue mimics. The bioadhesive composite has an adhesion strength ranging from 7-17 kPa and duration exceeding 48 hours in wet conditions under sustained shear forces, while other mucoadhesives based on hydrophilic macromolecules exhibit adhesion strength of 0.5-5 kPa and last only a few hours. The work highlights the first evaluation of BC composites for mucoadhesive treatments in the buccal cavity. Agency for Science, Technology and Research (A*STAR) Ministry of Education (MOE) Accepted version The project is partially supported by RG17/18 (S); Wound Care Innovation for the Tropics Grant. A*STAR IAF PP Grant (H19/01/a0/ 0II9): CathoGlu Bioadhesives-preventing catheter extravasation and skin infections; Ministry of Education Tier 2 Grant: CaproGlu, Double sided wet-tissue adhesives (MOE2018-T2-2-114); Ministry of Education Tier 1 Grant: Novel light activated, diazo protecting groups.

Amazon Alexa is a voice-controlled pplication that is rapidly gaining popularity. In this paper user interactions with this technology, and focused on the types of tasks requested of Alexa, the variables that affect user behaviours with Alexa, and Alexa's alternatives. AI-based voice assistance using AWS is offering the users a way to acquire such competence. Particularly, we focus on developing skills for the Alexa assistant, as it is the most widespread. It’s open a new world, a world where the user can talk to a machine as if it were a human and the machine will perform the work you request. Ideally, such conversations should be solely between the user and the voice assistance. For the hands-free feature that the user raved about and the other for speech recognition and understanding which is one key feature of the Echo.

Hydrogels have been employed for applications like wounds, burns, dressings, contact lenses, tissue engineering applications, to name a few. The potential of hydrogel application for localized cancer therapy has also been widely explored. This chapter aims to provide an insight into the injectable hydrogel systems for local application to the tumor site. The chapter discusses the basics of hydrogel and its classification. The hydrogels are classified according to their triggering stimuli like pH, temperature, magnet, light, and ultrasound are discussed in detail. The basic design and mechanism of action of several stimuli-responsive hydrogels with few researched examples are discussed. In the end, an overview of the marketed and patented hydrogels for cancer therapy has been provided.

A few medical problems such as Locked in Syndrome and Amyotrophic Lateral Sclerosis lead to paralysis or motor speech disorder in people which may cause defects in speech or voice. And there are many companies who want to communicate with people securely. In this paper we are representing a means of communication between people using Morse code and the decoding of Morse code using eye blinks. This eye blink decoding system alone can also be used by many people suffering from Locked in Syndrome or Amyotrophic Lateral Sclerosis. We are developing the secure communication between users using web sockets and Redis server. The decoding of Morse code using eye blinks will be done using Python, OpenCV, Keras and Computer Vision. At the end of the communication the system will be able to perfectly display the Morse encoded messages and will be able to decode them using eye blinks.

India has always been the largest democratic country all over the world, and voting is prominent in Indian democracy. Election plays an important role in a modern democracy, and electronic voting machine (EVM) is a medium of conducting elections. EVM is the combination of software- and hardware-based program, which is controlled by an organization. Security issues, vote manipulation and voter integrity are some major issues in the current EVM-based system. It is difficult to rely on such programs when voting is concerned. Through this paper, a secure voting system is being made blockchain technology. This paper starts with the traditional voting system and then moves forward to understand the advanced system with blockchain technology in a real-case scenario with its features such as security and peer-to-peer network. The implementation of blockchain-enabled voting application with existing frameworks such as Ethereum, which improves the security of votes, makes elections transparent and maintains the integrity of voters.

Cloud computing is a large-scale paradigm using remote servers hosted on the internet. Servers over the data centers provide services in the form of SaaS, PaaS, and IaaS. The concept of cloud computing is the virtualization of resources that provides services. Cloud is an infinite resource pool along with the availability of these resources to multiple users. The energy consumption in a cloud environment is due to the number of parameters that have fixed values or it is variable. In the paper, we had rectified a model for energy consumption and an algorithm is proposed for the power awareness scheduling algorithm. Also, the paper shows a relationship between workload, utility, power, and energy consumption is presented as a model.

Machine learning and Artificial Intelligent techniques are the most used techniques. It gives opportunity to online sharing market where sharing and adopting model is being popular. It gives attackers many new opportunities. Deep neural network is the most used approached for artificial techniques. In this paper we are presenting a Proof of Concept method to detect Trojan attacks on the Deep Neural Network. Deploying trojan models can be dangerous in normal human lives (Application like Automated vehicle). First inverse the neuron network to create general trojan triggers, and then retrain the model with external datasets to inject Trojan trigger to the model. The malicious behaviors are only activated with the trojan trigger Input. In attack, original datasets are not required to train the model. In practice, usually datasets are not shared due to privacy or copyright concerns. We use five different applications to demonstrate the attack, and perform an analysis on the factors that affect the attack. The behavior of a trojan modification can be triggered without affecting the test accuracy for normal input datasets. After generating the trojan trigger and performing an attack. It's applying SHAP as defense against such attacks. SHAP is known for its unique explanation for model predictions.

Objective: Nanoochleates are tubular or cockle shaped structures derived from liposomes. Although investigated for several applications to be administered by oral and parenteral route, the potential of cochleates in topical drug delivery remains unexplored. The present study is a comprehensive report aimed at ascertaining the role of cochleates in topical delivery of drugs.Methods involved development and evaluation of lipoid S 75 based nanocochleate formulation of serratiopeptidase. A 23 factorial design was utilized to optimize nanocochleate formulation and to study effect of lipoid S 75, cholesterol and calcium chloride on percent entrapment efficiency and particle size of nanocochleate. Nanocochleates were also characterized by FTIR and DSC. The anti-inflammatory activity and stability of SRP nanocochleates was investigated. The Results of Nanocochleates were prepared by using 749.98 mg of lipoid S 75, 250 mg of cholesterol and 15 mM of CaCl2 having a particle size 231.4 μm and entrapment efficiency of 80.12. The variables of the 23 factorial design significantly affected the percent entrapment efficiency and nanocochleate size. Carbopol 940 was chosen for gel preparation because of its bio-adhesive property and it is known to be retained for longer time at the site of administration. For determining anti-inflammatory activity SRP loaded nanocochleate gel was subjected for in vivo study. SRP loaded nanocochleate gel showed greater percent edema inhibition then the plain SRP gel and comparable with diclofenac gel (VoveranEmulgel). Nevertheless, the prepared nanocochleate formulations possessed stability profile similar to liposomal counterpart. Keywords: Serratiopeptidase, Nanocochleate, Anti- inflammatory, Factorial design, Liposome

Background: The aryl hydrocarbon receptor repressor (AHRR), a member of the growing superfamily, is a basic helix-loop-helix/PerAHR nuclear translocator (ARNT)-Sim (bHLH-PAS) protein. AHRR has been proposed to function as a putative new tumor suppressor gene based on studies in multiple types of human cancers. This current study aims to investigate AHHR expression and its prognostic significance in gallbladder cancer. Methods: The study includes 48 gallbladder cancer and 34 chronic cholecystitis cases as controls. The expression level of AHRR was analyzed by using semi-quantitative PCR and immunohistochemical staining. The results were correlated with different clinical parameters. Results: We demonstrate that the expression of AHRR is significantly down-regulated in gallbladder cancer tissue samples as compared to that in chronic cholecystitis tissue samples by reverse transcriptase PCR (RT-PCR) (P = 0.017) and immunohistochemistry analysis (P = 0.002). Interestingly, our RT-PCR data revealed that AHRR mRNA expression is frequently down-regulated (45.8%; 22/48) in cases as compared to 14.7% (5/34) in controls. Similarly, immunohistochemical analysis data show significant down-regulation of AHRR expression in 77.1% (37/48) of gallbladder cancer cases than 44.1% (15/34) in controls (P < 0.017). Reduced mRNA and protein expression is significantly associated with advanced T-stage (P = 0.001), histological differentiation (P = 0.001), and tumors with nodal metastasis (P = 0.001). Decreased expression of AHRR is significantly associated with poor prognosis in gallbladder cancer patients. Conclusion: In conclusion, the present study suggests that low AHRR expression may be critical in gallbladder cancer development. Our data suggests that AHRR may act as a tumor suppressor gene and its expression profile may be useful as a diagnostic marker in gallbladder cancer.

Opportunity cost, which can be defined as the loss in profit faced by a firm in case of stock out condition, plays an important role while calculating the EOQ of an item. However, if the items are correlated and their sales/non sales are dependent on each other than the total loss faced by the firm in case of stock out is the sum of item’s individual profit and its influence on other item’s sales. In this paper, opportunity cost of an item is modified by taking purchase dependency into account. This modified opportunity cost is then used to estimate the EOQ of an item. Experimental results show that when purchase dependency is taken into account, the EOQ of an item will be affected resulting in modified profit of the firm.

This paper presents an integrated model that approximates pedestrian behavior in case of a fire emergency and its consequences. We have modeled a confined fire with a variable spread rate, based on the existing literature pertaining to the field. The fire has both psychological and physical impacts on the state of the agents. The model also incorporates clustering behavior in agents, which slows down the evacuation. The model helps recognize bottlenecks and compares the evacuation efficiency by comparing casualties across different scenarios. Simulation results are given as illustrations and give qualitative insights into the risks and likely problems in specific fire scenarios.

Stock market prediction is used to assure entry and exit of the investor by predicting the future of current market trend. The hypothesis of market can be either fundamental or technical analysis. This research paper helps in stock market trading by using the Fibonacci retracement. The retracement prediction deals with the psychological sentiment of the market in continuity. A Fibonacci retracement provides the correct time frame of entry and exit in 70% [13] of cases through Golden ratio, which is inclined to provide the good structural design of stock market. Fibonacci retracement hypothesis is based on the technical analysis to forecast the stock prices in near future.