Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of Case Reports of Poison Cases that Underwent Plasmapheresis Using Plasma Separator-NIGALE XJC 2000 and NIGALE DigiPla 80

The word “apheresis” is derived from the Greek word “aphaeresis,” which means to separate. This describes manual plasma exchange, the removal of units of whole blood anticoagulated with acid citrate dextrose followed by centrifugation to separate the blood into the cellular elements and plasma [1]. The cellular elements were then mixed with a replacement for the discarded plasma and reinfused [2]. Therapeutic Plasma Exchange (TPE), is an apheresis treatment in which the plasma component of blood is removed and replaced with supplemental fluids or processed before being returned to the patient. This is the most commonly used procedure. The volume removed is such that if it were not replaced, significant hypovolemia resulting in vasomotor collapse would occur. As a result, the removed plasma must be replaced with some form of replacement fluid [3]. Managing organophosphate poisoning can at times be difficult especially when there is no history about the type of poison ingested and when the compound presents with no odour. Plasmapheresis effectively helps in the management of such cases in the toxicology department and also replaces the circulating levels of pseudocholinesterase in blood [4]. Organophosphates (OP) are used in insecticides and as pest controls. They inhibit acetylcholinesterase present in the erythrocyte membrane, skeletal muscles and nerve tissues and results in cholinergic crisis. These OP can be absorbed through mucous membrane, skin, conjunctiva, GIT and Respiratory tracts in accidental exposures or intentionally in suicides and homicides [5]. OP poisoning is common amongst farmers in the developing countries [6]. The skin absorption of these compounds are usually slow and hence the symptoms occur slow, this delays the patient admittance time from the time of exposure resulting in more serious complications [7]. Compounds can be classified based on the atoms on the phosphate: Phosphates: when the four atoms contain oxygen, Phosphothioates: when Sulphur is present, Phosphoramides: when nitrogen is present, Phosphoramidothionates: when both nitrogen and sulphur are present, Phosphonates: when carbon is present, Phosphothionateswhen carbon and sulphur are present; OP compounds are metabolized by hydrolysis in the liver, the elimination of phosphothioates are slower than phosphates due to their lipophilic nature [8]. The inhibition of the enzyme AChE by the OP causes accumulation of ACh in the synapses. Traditional treatment with atropine and oximes to treat OP poisoning is insufficient to reduce the morbidity and mortality and hence plasmapheresis is used which effectively separates the antibodies, immunocomplexes, exogenous and endogenous toxins from plasma and provides replacement with plasma proteins and coagulation factors [9]. This study focuses to study the effect of the plasmapheresis using the plasma separator Nigale XJC 2000 and DigiPla 80.
An Efficient Method to Measure ECG Frequency of Mother and Fetal using DWT

— Compression technique plays an important role in diagnosis, prognosis and analysis of ischemic heart diseases. It is also preferable for its fast data sending capability in the field of telemedicine. Various techniques have been proposed over years for compression. Among those Discrete Cosine Transformation (DCT), Discrete Wavelet Transformation (DWT), Fast Fourier Transformation (FFT) and Walsh Hadamard Transformation (WHT) are mostly used. In this paper a comparative study of FFT, DCT, DWT, and WHT is proposed using ECG and PPG signal, which shows a certain relation between them as discussed in previous papers [1]. Image processing depends on compression which helps in reduction of file size for large data transmission in a stipulated and reduced time. Wavelet analysis provides one of the common goals of image compression, i.e. the signal or image clearance and simplification, which are part of de-noising or filtering. Wavelet analysis uses and thus provides long term intervals. In this modern era medicinal therapies has evolved drastically which requires transmission of medical data over long distances under high security with maintaining efficacy. This paper delivers a comparative study based on compression ratio and Peak-Signal-to-Noise-Ratio (PSNR) values of image qualities for corresponding techniques . This study also ascertains the least distortion of PPG signal among 1D signals after retrieval and information extraction from it and ECG signal based on the intermittent relations among ECG and PPG signals as discussed in other papers.
Socio-economic determinants of farmers’ adaptations to climate change variability in Meatu and Iramba districts, Tanzania

The capacity of farmers to adapt to climate shocks and stresses is a critical part of sustainable development. Generally, farmers’ adaptation to climate change variability exploits beneficial opportunities to reduce its vulnerability and minimize the risk associated with the impacts of climate change variability. As such, the aim of this study was to determine the socio-economic determinants of farmers’ adaptation to climate change variability in Meatu and Iramba Districts, Tanzania. Specifically, the study was intended to determine farmers’ adaptation to climate change variability in the study area, to compare households’ adaptations for the two districts and to determine socio-economic factors influencing farmers’ adaptation to climate change variability. A cross sectional research design was used for the study, whereby data were collected through a questionnaire distributed to 183 farmers and focus group discussions. Statistical Package for Social Sciences (SPSS) was used for data analysis. Descriptive and inferential statistics were used in the analysis of data. Results showed that majority of farmers’ households had very low adaptation to climate change variability. Moreover, it was found that there was a significant difference on levels of farmers’ adaptation between the districts (χ2=77.522, df = 3, p<0.0001), in which farmers from Meatu district had very low adaptation compared to those from Iramba district. It was also found that farmers’ adaptation was significantly determined by sex, type of farming practiced by household’s head, distance from home to the farm, distance from home to the market, distance to the sources of water and possession of entrepreneurial skills. The study concludes that farmers’ adaptation to climate change variability mainly depends on the sex of head of household, distance from home to the farm, distance from home to market, distance to the source of water and possession of entrepreneurial skills. The study recommends increasing households’ adaptation capacity to climate change variability through constructing sources of water and market near the villages; and empowering of farmers with knowledge and entrepreneurial skills which will enable them to create opportunities on non-farm activities.
Evaluation of Physicochemical Properties of Cow Ghee before and after Hydrogenation

Cow ghee was analyzed for physicochemical characteristics before and after hydrogenation for quality comparison, extension of shelf-life and for improving its palatability, acceptability. Concerning the least amount of catalyst used and least iodine value, hydrogenated cow ghee was prepared at 0.075% w/w catalyst, 0.86 MPa of pressure and 408 K of temperature. The Fourier transform infrared spectroscopy spectra showed the characteristic peak at 966/cm corresponding to trans compounds for cow ghee (CG) and hydrogenated cow ghee (HCG) examined. The results indicated the presence of trans fatty acids (TFA) in CG and HCG. Increase in specific gravity, melting range and decrease in solidification temperature of HCG indicates that an increase in solid fat content as compared to CG. Increase in acid value, decrease in ester value and saponification value indicates that an increase in free fatty acid content in HCG. Decrease in iodine value of HCG indicates that degree of unsaturation was reduced to a minimal level and conversion of unsaturated fatty acids to saturated fatty acids occurred. Hydroxyl value indicated the presence of hydroxyl group in CG and HCG. No significant increase in heavy metal content and nickel has been observed due to good laboratory practices. Improvement of traditional ghee processing parameters and quality properties are necessary, using good manufacturing practices on unit operation. In addition, proper packaging in containers injected with inert gases such as nitrogen and addition of antioxidants for storage and distribution will be an advantage.
ECG Signal Processing using FPGA

— The objective of this paper is a development of real time ECG signal processing system that could be implemented using Field programmable Gate Array (FPGA) & study of System Generator tool. The implemented algorithm using FPGA that could be used digital ECG data from the standard database. The design, based on a popular software based QRS detection algorithm, calculates the threshold value for the next peak detection cycle, from the median of eight previously detected peaks. The design implementations algorithm was developed in VHSIC hardware description language (VHDL) using system generator and uses resources available in a small-sized FPGA device. It will be analyzing the component of the ECG signals.
Isoniazid Poisoning: A Pediatric Simulation Case for Emergency Medicine Residents

Introduction Seizures in the setting of isoniazid (abbreviated INH, from isonocotinylhydrazide) toxicity can be intractable and persistent despite treatment with the usual status epilepticus (SE) medications. If not recognized in a timely fashion, SE can lead to significant morbidity and mortality. This simulation scenario instructs emergency medicine and pediatric residents and fellows in any year of training on the principles and management strategies of approaching a pediatric patient with SE due to INH toxicity. Methods This scenario presents a 5-year-old pediatric patient brought into the emergency department after a witnessed seizure at home, another en route to the emergency department, and a third event in front of the medical provider. This scenario was designed to include one 15- to 20-minute group simulation session, followed by a 10- to 15-minute debriefing of the case. The simulation can be run with a minimum of two participants—one to play the role of physician and the other to play the case director or simulation operator. Also included are visual stimuli consisting of relevant lab results, imaging, and other diagnostic studies. Finally, an educational handout created for all simulation participants reviews important teaching points related to the case. Results To date, 30 residents have participated in this simulation during one of the weekly conference days. In the postactivity survey reviews, residents have reaffirmed their appreciation for their simulation time and have requested more exposure. Discussion Simulation scenarios are an ideal teaching tool for rare and life-threatening diseases, as medical trainees will have little to no prior applied experience with such conditions.
Maximum Power Point Tracking for Photovoltaic Panel based on T-S Fuzzy Systems

In this paper we are interested in Maximum Power Point Tracking (MPPT) for Photovoltaic (PV) Panels Based on T-S type Fuzzy Systems. The PV panel model structure is represented by the Takagi-Sugeno (T-S) type fuzzy system. It is described by four local models. Each of them is characterized by an optimal operating point. The power generated by the PV panel depends on the temperature and irradiation. An algorithm based on T-S fuzzy systems is proposed to extract the maximum power generated by the PV panel. The optimal operating point for the PV panel is computed based on the optimal operating point for each local model. A Boost dc-dc converter has been connected between the PV panel and the load to allow the operating point to be varied. The duty cycle for the converter is computed based on the coordinates of all the local models of the PV panel. The operating point is thus optimally tracked based on the MPPT algorithm. Some simulations have been done to check the performance of the proposed algorithm. General Terms Fuzzy system, Photovoltaic power, MPPT Algorithm.
Preoperative and Postoperative Management of Arthroscopic Rotator Cuff Repair

Considerable advances have been made in arthroscopic rotator cuff repair (ARCR) over the last decade and excellent results have been achieved. Although recent studies have shown that functional outcomes after ARCR are comparable with those after open or miniopen repair, further refinements that could improve the clinical outcome of ARCR have been widely debated. Various factors can affect the clinical results, some medical, such as operative technique and preoperative and postoperative management, and others patient-related, such as tear size and the presence of diabetes or preoperative contracture. Though efforts have been focused on resolving the medical factors, patient-related factors should also be addressed.
Enterprise Risk Management Practices In Indian Corporations

The study explores the factors affecting the management of risks in Indian corporations. Very broadly, the effective implementation of enterprise-wide risk management (ERM) can be understood using three elements namely, Enabling factors in the organization; Practice of ERM; and Effects of ERM. Each of the elements have been discussed in literature; however, a comprehensive linking of the elements is desirable. During the present study, perception of a sample of 106 senior executives about more than a dozen ERM practices and enabling factors was measured using a questionnaire. The ERM practices can be explained with the help of three principal components – Structure for Risk Management; Record keeping of Risk Management and Activities of Risk Management. Statistical tests show that there are variations in practices between public sector and private sector. Responses from executives from service sector about practices in risk management showed a clear superiority over executives from other non-service sectors. Further, several enablers, such as corporate planning and review, MIS and ERP, internal audits, quality management and organization culture are postulated for each component. To practicing managers, the study suggests to strengthen the respective enabler; as well as to adopt practices from services sector and public or private sector enterprises for a successful implementation of ERM in their organizations. Keywords— Enterprise Risk Management, Public and Private Sector Comparison.
DESIGN AND DEVELOPMENT OF HYBRID INTRUSION DETECTION SYSTEM FOR WIRELESS SENSOR NETWORK

With evolution in electronic and wireless communication the cost of sensors having multi-function capability has dropped down dramatically. Also the power consumption by these sensors also came down. The sensors consists of wireless communication and capturing devices with data processing capability. The sensors are very useful for many military and civil applications, in collecting and processing information from unfriendly environment and difficult to access locations such as battlefield investigation, environment monitoring, etc. Thus the WSN’s are point of attraction for the attackers as they are deployed in open and unprotected environment. The characteristics of wireless infrastructure and characteristics of WSNs cause potential risks of attacks on the network. Numerous studies have attempted to address vulnerabilities in WSNs. Current research on security in sensor networks generally focuses on secure routing protocols, key management and prevention techniques for specific attacks. Although research on security (related to) issues in WSN is productive, the need for a security framework for WSNs still exists. Intrusion Detection System (IDS) is a common prevention mechanism which protects the network from intrusion. Here we study the problem of intrusion detection in WSNs, and propose a hybrid intrusion detection framework for clustered sensor networks.In this paper we have proposed Hybrid Intrusion Detection System for Wireless Sensor Network. It combines the benefits of both anomaly detection and signature based detection of intrusions. The anomaly detection is based on Support Vector Machine (SVM) which then forwards the result to misuse detection algorithm for further necessary action. The work together as Hybrid system for intrusion detection.
University Academics' Behavioural Intention to Use E-Government Services in Sri Lanka

Implementation and adoption of Electronic Government services are in early stage in most of the developing economies. Users of such services include individual citizens, businesses, government agencies and other governments. The rewarding benefits of such implementation effort depends both on governments’ end as well as users’ end. This study amended and used Unified Theory of Acceptance and Use of Technology (UTAUT) model to identify the factors influencing university academics’ adoption of electronic government services in Sri Lanka. University teachers from South Eastern University of Sri Lanka were the participants of the study. The real data disclosed that Effort Expectancy and Social Influence factors have significant effect whereas Performance Expectancy factor did not have effect on university academics’ intention to adopt Electronic Government services in Sri Lanka. Keywords : University Academic, Behavioural Intention, Electronic Government, Sri Lanka, UTAUT.
Improvement of Email Summarization Using Statistical Based Method

- Automatic text summarization is undergoing wide research and gaining importance as the availability of online information is increasing. Email is one of the most important online tools that many of us depends on in his everyday life. Finding Email summaries may be crucial for many users. We deal with email text as a single-document in this research. Text summarization can be classified into two approaches: extraction and abstraction. This research focuses on extractive one. The goal of text summarization based on extraction approach is sentence selection. Our proposed method to obtain the suitable sentences is to assign some numerical measure of a sentence (statistically) for the summary called sentence score and then select the best ones to be included within Email summary . The most important step in summarization by extraction is the identification of important features. In our experiment, we used 130 test Email text from Enron_Sent_Mail_Sample data set. Each Email document is prepared by preprocessing process: sentence segmentation, tokenization, removing stop word, and word stemming. Then, we used 7 important features and calculate their score for each sentence. The results show that the best average similarities with the reference summary (gold summary) were obtained by our method.
Enhancing Scalable Database-Driven Reverse Dictionary

— Contrasting a traditional Forward Dictionary which convert word to their meaning ,we express design and implementation of reverse dictionary, a reverse dictionary return a set of candidate words that assure the input phrase, that input phrase concerning the desired idea. in current paper , we here a set of algorithms and the results of a set of experiment showing the retrieval accurateness of our methods and the runtime response time performance of our completion. This effort has Major useful for general public those who work closely with word also in general field of conceptual search. Our conduct experiment judge against the quality of the result to currently available implementations of reverse dictionary also to provide major improvements in performance level.
Safety and Analgesic Efficacy of Pre-Emptive Intranasal Ketamine versus Intranasal Fentanyl in Patients Undergoing Endoscopic Nasal Surgery

Objectives: No clinical studies investigated nasal mucosal coverage and nasal integrity as local causative factors for inter-individual variation in clinical effects commonly reported with intranasal opioid administration. Moreover, most of published clinical trails investigated the use of intranasal analgesic medications in extranasal painful settings. The purpose of this study was to demonstrate safety and analgesic efficacy of pre-emptive intranasal ketamine (non-opioid) vs. intranasal fentanyl (opioid) in patients undergoing endoscopic nasal surgery. Methods: 60 adult normotensive patients were randomly assigned to receive intranasal administration of either 1.5mg/kg ketamine 50mg/ml (INK group, n=20) or 1. 5μg/kg fentanyl 50μg/ml (INF group, n=20), or saline (placebo group, n=20) 30 min. before induction of general anesthesia. Assessment parameters included; hemodynamics, postoperative pain, sedation and adverse effects. Results: Intranasal fentanyl significantly attenuated hemodynamic changes in SBP, DBP and HR at 1, 3, 5 and 7min. after intubation. INK and INF significantly prolonged time to first analgesic request (253.74±25.01min. P<0.000 vs. 233.80±24.57min, P<0.000), compared with placebo (120.71±24.64min.). Diclofenac consumption was significantly reduced in INK (85.32±10.31mg) and INF (81.42±8.48mg) compared with placebo (150.00±0.00mg). VAS scores were significantly lower with INK and INF in first 4h postoperative (P<0.000) with a trend towards lower values at all recorded time points. Incidence of adverse effects was higher in INK, While the surgeon (P<0.000) and patient (P<0.000) satisfaction indices were higher with INF. Conclusion: Intranasal ketamine or intranasal fentanyl enhanced postoperative analgesia after endoscopic nasal surgery. Psychomimetic side effects of ketamine still occur with intranasal administration and the clinical goal of ketamine must be defined [Hala S. Abdel-Ghaffar and Mohamed A M. Salem. Safety and Analgesic Efficacy of Pre-Emptive Intranasal Ketamine versus Intranasal Fentanyl in Patients Undergoing Endoscopic Nasal Surgery. Journal of American Science 2012; 8(3):430-436]. (ISSN: 1545-1003). http://www.americanscience. org. 57
A Reliable Intrusion Detection System in Wide Area Networks against the assault of DDOS

The real test with the present Web Intrusion Detection Systems is an enormous number of alarms are produced by the customary instruments and strategies where the greater part of them are false positive and less huge. It is hard for the web organize executive or approved client to audit each alarm that is produced by customary IDS apparatus on a bustling constant LAN or WAN condition. Thus, numerous MIM assaults might be undetected, which can make serious harm the system frameworks. Fundamentally, customary location models create countless interruption designs which produce high false positive rate. Because of countless interruption designs, a great deal of time is required for discovery of interruptions on correspondence arrange which antagonistically influences the productivity of the Intrusion Detection Systems. In this paper we proposed a half breed approaches for distinguishing different DDoS (Distributed Denial of Service) assaults in WAN. We directed an inexhaustible study on this works, from which we finished up how we move further on our work.