A Solution for the problems caused by Eichornia crassipes in the Ampara District

Eichornia crassipes (Japan Jabara/Japan Japarli/Aathu Valai/Water hyacinth) is a nonnative invasive freshwater plant to Sri Lanka, which blocks the drainage and irrigation cannels. During heavy rainy season Eichornia crassipes plants block the flow of rivers and by spreading over the paddy fields cause floods frequently, destroy the aesthetic value of the water bodies and obstructs the fishing activities. Due to very rapid growth and spread rate, farmers and local authorities need to spent significant amount of money to remove these plants and need large dumping areas for disposing of these plants. A study was conducted to prepare compost using Eichornia crassipes as the main resource material along with paddy straw and cow dung. Multiple layers of these materials were mixed at 3rd and 6th weeks and the moisture content was maintained at 50 - 60%. In the 10th week, compost was ready and it was sieved. The return percentage of compost from the input was 65. The moisture percentage of the produced compost was 50.3 and the volatile solid percentage was 22.8. The compost contained 39.5 % carbon, the pH was 8.1 and 73.5 % of the produced compost was sieved through 4 mm sieve. The total production cost was Rs 4.40 kg-I and it had very good demand and the selling price was Rs. 13.00 kg-

Building addiction recovery capital through online participation in a recovery community

The study examines how online participation in a recovery community contributes to personal journeys to addiction recovery. We investigate whether recovery capital building - as indicated by increased levels and quality of online social interactions - and markers of positive identity development predict retention in a recovery program designed around fostering community involvement for early stage recovery addicts. We predicted that high levels and quality of online participation on the group's Facebook page and positive identity development predict retention in the program. To map how participants interact online we conducted social network analysis (SNA) based on naturally occurring online data on the Facebook page of a recovery community. We used computerised linguistic analysis to conduct a sentiment analysis of the textual data (capturing social identity markers). We used linear regression analysis to test whether our indicators of recovery capital predict program retention. To illustrate our findings in the context of the recovery community, we also present case studies of two key participants who moved from the periphery to the centre of the social network. By conducting in-depth interviews with these participants we were able to explore personal experiences of social media usage in the context of their recovery journeys for group members who have undergone some of the most significant changes since joining the community. We found that retention in the program was determined by a) the number of comment 'likes' and 'all likes' received on the Facebook page; b) position in the social network (degree of centrality); and c) linguistic content around group identity and achievement. In conclusion, positive online interactions between members of recovery communities support the recovery process through helping participants to develop recovery capital that binds them to groups supportive of positive change

Using social identity to promote health:the impact of group memberships on health in the context of obesity

As contemporary approaches to addiction treatment are evolving from models predominantly focused on acute bio-psychosocial stabilisation to models similar to managing chronic diseases such as diabetes and high blood pressure (White, 2009), the importance of communities of support becomes more central. The role of social support groups in recovery from addiction (Best et al., 2016), and other health conditions (Jetten, Haslam, & Haslam, 2012) has long been recognised and extensively researched. There has been a move from models predicated on an ‘individual struggle’ to a shared recovery process, that is, from an individual-focused approach to change to more socially oriented alternatives, not only regarding treat - ment per se, but also in how support for recovery is conceptualised (Beckwith, Bliuc, & Best, 2016; White, 1998). Recent definitions of recovery from addiction characterise recovery as a “process of change through which individuals improve their health and wellness, live self-directed lives, and strive to reach their full potential” (Substance Abuse and Mental Health Services Administration, 2012). SAMHSA’s working definition of recovery encompasses four dimensions necessary to support recovery – health, home, purpose and community – incorporating the recognition that, during this process, social support is paramount (Betty Ford Institute, 2007)

Pattern of benzodiazepine use in psychiatric outpatients in Pakistan: a cross-sectional survey.

Background: Benzodiazepines (BDZ) are the largest-selling drug group in the world. The potential of dependence with BDZ has been known for almost three decades now. In countries like Pakistan where laws against unlicensed sale of BDZ are not implemented vigorously the risk of misuse of and dependence on these drugs is even higher. Previous studies have shown that BDZ prevalence among Patients/visitors to general outPatient clinics in Pakistan may be as high as 30%. However, no research has been carried out on the prevalence of BDZ use in psychiatric Patients in Pakistan. Methods: We carried out a cross-sectional survey over 3 months in psychiatry outPatient clinics of two tertiary care hospitals in Karachi and Lahore. Besides basic socio-demographic data the participants were asked if they were taking a BDZ at present and if yes, the frequency, route and dosage of the drug, who had initiated the drug and why it had been prescribed. We used chi-square test and t-test to find out which socio-demographic or clinical factors were associated with an increased risk of BDZ use. We used Logistic Regression to find out which variable(s) best predicted the increased likelihood of BDZ use. Results: Out of a total of 419 participants 187 (45%) of the participants had been currently using at least one BDZ. Seventy-three percent of the users had been using the drug for 4 weeks or longer and 87% were taking it every day. In 90% of cases the BDZ had been initiated by a doctor, who was a psychiatrist in 70% of the cases. Female gender, increasing age, living in Lahore, and having seen a psychiatrist before, were associated with an increased likelihood of using BDZ. Conclusion: The study shows how high BDZ use is in psychiatric outPatients in Pakistan. Most of the users were taking it for a duration and with a frequency which puts them at risk of becoming dependent on BDZ. In most of the cases it had been initiated by a doctor. Both Patients and doctors need to be made aware of the risk of dependence associated with the use of BDZ

Effects of betel nut on cardiovascular risk factors in a rat model

Background: Areca nut (commonly known as betel nut) chewing has been shown to be associated with metabolic syndrome and cardiovascular disease (CVD). The mechanism by which betel nut ingestion could lead to development of CVD is not precisely known; however, dyslipidemia, hyperhomocysteinemia, hypertriglyceridemia and inflammation could be some of the potential risk factors. This study was undertaken to investigate the effects of two dosages of betel nut on homocysteinemia, inflammation and some of the components of metabolic syndrome, such as hypertriglyceridemia, low HDL-cholesterol, obesity and fasting hyperglycemia in a rat model.Methods: Thirty-six adult female Sprague Dawley rats, aged 10–12 weeks were divided into three equal groups. Group-1 served as the control group (n = 12) and received water, whereas groups 2 and 3 were given water suspension of betel nut orally in two dosages, 30 mg and 60 mg, respectively for a period of 5 weeks. At the end of the fifth week, the animals were weighed and sacrificed, blood was collected and liver, kidney, spleen and stomach were removed for histological examination. Plasma/serum was analyzed for glucose, total cholesterol, HDL-cholesterol, LDL-cholesterol, triglycerides, homocysteine, folate, vitamin B12 and N-acetyl-β-D-glucosaminidase (NAG) – a marker of inflammation.Results: When the mean concentration values of 3 groups were compared using one way ANOVA followed by Tukey’s HSD-test, there was a significant increase in the concentration of total cholesterol (p = 0.04) in the group receiving 30 mg/day betel nut compared to the control group. However, administration of a higher dose of betel nut (60 mg/day) had no significant effect on the serum concentrations of glucose, total cholesterol, HDL-cholesterol, LDL-cholesterol, and NAG. Histological examination of spleen revealed a dose-dependent extramedullary hematopoiesis. No other remarkable change in the tissues (liver, kidney and stomach) was observed. Mean serum/plasma levels of folate, vitamin B12 and homocysteine were not found to be significantly different in all the groups. Betel nut ingestion had no effect on the mean body weights of rats.Conclusions: Low dosage of betel nut is found to be associated with hypercholesterolemia. However, betel nut ingestion is not associated with hyperhomocysteinemia, hypertriglyceridemia, hyperglycemia, inflammation and increase in body weight in a rat model

Discord Server Forensics: Analysis and Extraction of Digital Evidence

In recent years we can observe that digital forensics is being applied to a variety of domains as nearly any data can become valuable forensic evidence. The sheer scope of web-based investigations provides a vast amount of information. Due to a rapid increase in the number of cybercrimes the importance of application-specific forensics is greater than ever. Criminals use the application not only to communicate but also to facilitate crimes. It came to our attention that the gaming chat application Discord is one of them. Discord allows its users to send text messages as well as exchange image, video, and audio files. While Discord’s community is not as large as that of the most popular messaging apps the stable growth of its userbase and recent incidents indicate that it is used by criminals. This paper presents our research into the digital forensic analysis of Discord client-side artefacts and presents experimental development of a tool for extraction, analysis, and presentation of the data from Discord application. The work then proposes a solution in form of a tool, ‘DiscFor’, that can retrieve information from the application’s local files and cache storage

A Secure Fog-based Platform for SCADA-based IoT Critical Infrastructure

The rapid proliferation of Internet of Things (IoT) devices, such as smart meters and water valves, into industrial critical infrastructures and control systems has put stringent performance and scalability requirements on modern Supervisory Control and Data Acquisition (SCADA) systems. While cloud computing has enabled modern SCADA systems to cope with the increasing amount of data generated by sensors, actuators and control devices, there has been a growing interest recently to deploy edge datacenters in fog architectures to secure low-latency and enhanced security for mission-critical data. However, fog security and privacy for SCADA-based IoT critical infrastructures remains an under-researched area. To address this challenge, this contribution proposes a novel security “toolbox” to reinforce the integrity, security, and privacy of SCADA-based IoTcritical infrastructure at the fog layer. The toolbox incorporates a key feature: a cryptographic-based access approach to the cloud services using identity-based cryptography and signature schemes at the fog layer. We present the implementation details of a prototype for our proposed Secure Fog-based Platform (SeFoP) and provide performance evaluation results to demonstrate the appropriateness of the proposed platform in a real-world scenario. These results can pave the way towards the development of more secured and trusted SCADA-based IoT critical infrastructure, which is essential to counter cyber threats against next-generation critical infrastructure and industrial control systems. The results from the experiments demonstrate a superior performance of SeFoP, which is around 2.8 seconds when adding 5 virtual machines (VMs), 3.2 seconds when adding 10 VMs, and 112 seconds when adding 1000 VMs compared to Multi-Level user Access Control (MLAC) platform

Digital Forensic Acquisition and Analysis of Discord Applications

Digital forensic analyses are being applied to a variety of domains as the scope and potential of digital evidence available is vast. The importance of forensic analyses of web-based devices and tools is increasing, coinciding with the rise in online criminal activity. Discord - an application that allows text, image, video, and audio communication using VoIP - has become increasingly popular and is consequently subject to increased use by cybercriminals. While researching Discord servers and forensic artefacts, it is apparent that there is limited literature and experimentation in this domain. This paper presents our research into digital forensic analyses of Discord client-side artefacts and presents DiscFor, a novel tool designed for the extraction, analysis, and presentation of Discord data in a forensically sound manner. DiscFor creates a safe copy of said data, presenting the current cache state and converting data files into a readable format

The Internet of Things: Challenges and considerations for cybercrime investigations and digital forensics

The Internet of Things (IoT) represents the seamless merging of the real and digital world, with new devices created that store and pass around data. Processing large quantities of IoT data will proportionately increase workloads of data centres, leaving providers facing new security, capacity and analytics challenges. Handling this data conveniently is a critical challenge, as the overall application performance is highly dependent on the properties of the data management service. This paper explores the challenges posed by cybercrime investigations and digital forensics concerning the shifting landscape of crime – the IoT and the evident investigative complexity – moving to the Internet of Anything (IoA)/Internet of Everything (IoE) era. IoT forensics requires a multi-faceted approach where evidence may be collected from a variety of sources such as sensor devices, communication devices, fridges, cars and drones, to smart swarms and intelligent buildings

Thermodynamics of Competitive Molecular Channel Transport: Application to Artificial Nuclear Pores

In an analytical model channel transport is analyzed as a function of key parameters, determining efficiency and selectivity of particle transport in a competitive molecular environment. These key parameters are the concentration of particles, solvent-channel exchange dynamics, as well as particle-in-channel- and interparticle interaction. These parameters are explicitly related to translocation dynamics and channel occupation probability. Slowing down the exchange dynamics at the channel ends, or elevating the particle concentration reduces the in-channel binding strength necessary to maintain maximum transport. Optimized in-channel interaction may even shift from binding to repulsion. A simple equation gives the interrelation of access dynamics and concentration at this transition point. The model is readily transferred to competitive transport of different species, each of them having their individual in-channel affinity. Combinations of channel affinities are determined which differentially favor selectivity of certain species on the cost of others. Selectivity for a species increases if its in-channel binding enhances the species' translocation probablity when compared to that of the other species. Selectivity increases particularly for a wide binding site, long channels, and fast access dynamics. Recent experiments on competitive transport of in-channel binding and inert molecules through artificial nuclear pores serve as a paradigm for our model. It explains qualitatively and quantitatively how binding molecules are favored for transport at the cost of the transport of inert molecules