The evolution in Information Technology has gone a long way of bringing Igbo, one of the major Nigerian languages evolved. Some online service providers report news, publish articles and search with this language. The advancement will likely result to generation of huge textual data in the language, that needs to be organized, managed and classified efficiently for easy information access, extraction and retrieval by the end users. This work presents an enhanced model for Igbo text classification. The classification was based on N-gram and K-Nearest Neighbour techniques. Considering the peculiarities in Igbo language, N-gram model was adopted for the text representation. The text was represented with Unigram, Bigram and Trigram techniques. The classification of the represented text was done using the K-Nearest Neighbour technique. The model is implemented with the Python programming language together with the tools from Natural Language Toolkit (NLTK). The evaluation of the Igbo text classification system performance was done by calculating the recall, precision and F1-measure on N-gram represented text. The result shows text classification on bigram represented Igbo text has highest degree of exactness (precision); trigram has the lowest level of precision and result obtained with the three N-gram techniques has the same level of completeness (recall). Bigram text representation technique is extremely recommended for any text-based system in Igbo. This model can be adopted in text analysis, text mining, information retrieval, natural language processing and any intelligent text-based system in the language.
Uric acid has increasingly been associated with insulin resistance, hyperinsulinemia, and type 2 diabetes mellitus. Diabetic patients who are hyperuricemic have a risk of developing diabetic complications. Pathogenesis of uric acid may decrease nitric oxide bioavailability in vascular smooth muscle, endothelial cells and direct scavenging of nitric oxide by uric acid. A decrease in endothelial nitric oxide production by uric acid has also been associated with endothelial dysfunction and insulin resistance. This study aims is to determine the relationship between uric acid and glucose levels in patients with type 2 diabetes mellitus. The study included 161 Libyan patients (67 males and 94 females) diagnosed with type 2 diabetes mellitus. Both levels of serum uric acid and hemoglobin A1c (HbA1c) were determined. The patients were divided into two groups. The controllable diabetic group with HbA1c of less than 06.0% and the uncontrollable diabetic group with HbA1c of more than 06.0%. Patients who are suffering from type 2 diabetes mellitus without complications were included whereas patients with smoking, alcoholism, nephrotic disease, malignancy, hepatitis, and renal failure or kidney disease were excluded. The mean and standard deviation of uric acid, HbA1c and Pearson correlation coefficient test were considered. In the controllable diabetic group, serum uric acid mean was found to be 4.807 ± 1.39 and HbA1c was found to be 5.032 ± 1.39. In the uncontrollable diabetic group, serum uric acid was 4.897 ± 1.66 and HbA1c was 8.396 ± 1.65. Uric acid level has significantly been correlated with HBA1C in controlled and uncontrolled diabetic patients (p < 0.05). In addition, the uric acid level was found to be higher in uncontrolled diabetic group than that in the controlled group (p < 0.05). A possible relationship between serum uric acid and incidence of type 2 diabetes mellitus was noted. Thus, uric acid can be used as a potential biomarker to indicate impaired glucose metabolism.
Mediterranean journal of pharmacy and pharmaceutical sciences
Turcicum leaf blight (TLB) and Polysora rust diseases are taking heavy shiver in all maize growing regions of Karnataka. Several new fungicides are used to control the diseases, among them strobilurin group fungicides in combination with triazolefungicides are found effective in management of diseases. A mixture of Trifloxystrobin 50 WG + Tebuconazole 250 EC and mixture of Azoxystrobin 25 SC + Difenoconazole 25 EC were used in this study to manage the TLB and Polysora rust. The two combination fungicides were evaluated in different days against TLB and Polysora rust on two susceptible varieties namely 219J and CM 202. Results revealed that mixture of Trifloxystrobin 50 WG + Tebuconazole 250 EC @ 0.7 g/lit and mixture of Azoxystrobin 25 SC + Difenoconazole 25 EC @ 2.5 ml/litwere found effective in the management of TLB (15.0 % and 11.0 % respectively) and mixture of Trifloxystrobin 50 WG + Tebuconazole 250 EC @ 0.7 g/lit were found effective in controlling Polysora rust (13.2 %). Allied to yield, more significant increase in yield was recorded in treatment Trifloxystrobin 50 WG + Tebuconazole 250 EC @ 0.7 g/lit (5131.1kgs/ha). While, mixtures of Azoxystrobin 25 SC + Difenoconazole 25 EC @ 2.5 ml/lit recorded yield of 5913.0 kgs/ha, this was significantly superior with respect to disease control and yield aspects.
Today, the tourism industry has become richer and sophisticated. It involved various businesses and has given multiplier effect towards the society. One of dominant business activity in this sector is event management. It also touches various kind of business e.g. shopping center. Related to this, one of activity that has full support from the ministry of tourism in Indonesia is Culinary and Shopping Festival 2016. This event is being held from 27 September 2016 up to 27 October 2016 in many provinces in Indonesia. Data that is being collected to answer the research is being distributed to various visitors and specifically to student of UPH Medan. Hopefully from the data collection, the analysis will answer what kind of motives is to come to event. Whether the visitor coming for the culinary and shopping festival or for another event will be answered from the study. Therefore combining the data with how the tenant expectation can show the relationship between visitor motives and the festival.
This review was aimed to describe a new approach of healthcare performance strategy based on individual genetic variants. Personalized medicine is a model for health care which is a combination of preventive, personalized, participatory and predictive measures. It is an approach for a better treatment by identifying the disease causing genomics makeup of an individual. This work features key advancements in the improvement of empowering advances that further the objective of customized and precision medication and the remaining difficulties that, when tended to, may produce phenomenal abilities in acknowledging genuinely individualized patient consideration. Customized treatment for patients determined to have strong tumors has brought about a few advances as of late. To improve a multi-drug approach ready to coordinate DNA and RNA adjustment, proteomics and metabolomics will be essential. The execution of translational examinations dependent on fluid biopsy and organoids or xenografts to assess molecular changes because of clonal weight produced because of the utilization of target specialists or tumor heterogeneity would help in the recognition of systems of opposition, proposing opportunities for novel mixes. The investigation of massive data in oncology can profit altogether from being engaged by artificial intelligence and machine learning strategies.
Mediterranean journal of pharmacy and pharmaceutical sciences
With a few years of teaching medical students and witnessing the status of medical education and health care delivery in Libya, for a decade or more, a reflection of what is happening in Libya, the country which has given respect and economic freedom to a teacher like me. The Republic of India, a South Asian country is the seventh largest nation by area, the second most populous country and the most populous democracy in the globe. One of the fundamental rights of the Indian constitution is the ‘Right to life’ which translates to “Right to Health”. India is a Federal country with 29 states and eight union territories [1]. Indian health care is taken care of by the States by organizing and delivering health care and the Central Government takes responsibility for international health treaties: medical education, prevention of food adulteration, quality control in drug manufacturing, national disease control and family planning. Indian health care under the public sector is provided free to people who are below the poverty line. Indian Public Health sector caters to 18.0% of total patient care and 44.0% of total in patient care. The total expenditure for health care is around 04.0% of the GDP and out-of-pocket expenses are around 69.0%. If it is calculated the cost of health care is around 1700 Indian rupees/capita/year [2]. It is true of Libya also. It has its national health a policy with free medical care and policy to cater to the needs of the Libyan people. With the civil unrest, and a transient locally elected government, Libya finds itself in very critical situation related to its economy and public services including public health. The hospitals built and their destruction because of the civil war lie in a very demanding conditions with poor supply chains and logistics to maintain the necessary demand and supply situation. The health care personnel physicians, nurses and public health workers are competent. They have to operate in a trying condition to save lives with limited healthcare facilities in the form of drug, medicine and medical equipment.
Mediterranean journal of pharmacy and pharmaceutical sciences
Background: The rising global DM epidemic is driving the problem of TB control. This research determined glycemic control in TB only infected and DM-TB comorbidity and the consequence of the double burden on treatment outcome. Methods: fifty M. TB infected subjects and fifty control subjects were enrolled into the study, all the participants gave consents. FPG and HbA1c were determined by Colorimetry. Data were analyzed using SPSS version 20.0 statistical package, differences between groups and variation among groups were determined by Student’s t-test and ANOVA respectively while the association between variables by Pearson’s correlation. Differences were considered statistically significant at p<0.05. Results: The mean FPG and HbA1c levels of TB subjects were significantly (P<0.05) higher than those of the control. The mean BMI of the TB infected subjects was significantly lower (p=0.001) than that of the controls. The mean age, FPG and HbA1c of TB subjects at the beginning phase of treatment were significantly lower (p<0.05) than those of subjects at the continuation phase of treatment. The mean age, FPG and HbA1c of subjects with DM-M.TB coexistence were significantly (p<0.05) higher than those of the M.TB only infected subjects. BMI of the DM-M.TB comorbidity subjects was lower than that of the M.TB only infected subjects (p=0.109). A significant positive correlation was obtained between HbA1C and FPG in M.tb infected subjects. (r=0.910, p=0.001). A negative correlation obtained between HbA1C and BMI in M.tb infected subjects. (r=0.267, p=0.061). Conclusion: Infection with mycobacterium tuberculosis poses a risk to DM and vice versa, which may adversely affect treatment outcome and control of both diseases. Firm efforts to control DM may likely have a significant valuable effect on TB treatment outcome.
The soil samples were collected from Melia dubia plantations in two different locations in Tamil Nadu. A total of twenty five actinomycetes isolates were isolated and they were screened for melanin pigment production using different culture media. Only two isolates were able to produce melanin pigment under in vitro study and one isolate showed positive reaction to L-tyrosine substrate. Based on morphological and bio-chemical characters the isolate was identified as Streptomyces sp. The DNA of the isolate was isolated and its 16S rDNA gene was amplified and sequenced. The phylogenetic analysis of Streptomyces puniciscabiei was carried out.
The study, “The beginnings of the organization of the Kosovo Liberation Army in the Lap Operational Subzone December 1995 – June 1998,” as its object of study has the period of the Kosovo Liberation War in the years 1998-1999. This study touches upon the historical dimension of the efforts and sacrifices of Albanians found in the Serbian-Yugoslav area against their will.This study’s main topic is the beginnings of the organization in the Lap Operational Subzone (LOSz) as a significant part of the KLA. The study has undergone a scientific analysis based on sources of all kinds. The analysis included LOSz’s position in the KLA structure: the mission and duties during the liberation war, the governing bodies at the beginning of the LOSz organization and their functional organization, as well as the battles and downfalls of the freedom fighters. Historical literature, feuilletons, scientific papers, as well as interviews with famous personalities, were used to shed more light on the organization and the war in LOSz. This topic covers an essential segment of the Kosovo Liberation War period 1998-1999 And contributes towards the complete enlightenment of this historical period, especially in this region. Therefore, hopefully, this study will build interest and create perspectives for new studies of this nature.
Organisations may either belong to the private sector or the public sector. When they are in the private sector, they can be large, small or medium-sized depending on the annual income and the number of workers they hire. Global organisations are developing rapidly because of the need to tap into new markets and production locations. Under the organisational structure, the organisation selected was Nike. It has several functional units whose activities are interrelated. For instance, human resource units ensure that the right personnel for finance or marketing are recruited and promoted. The emergence of new markets in BRIC and the digital revolution are highly relevant to external factors that affect the organisation. As a response, Nike has used social media and the digital revolution to reach customers directly. It, however, needs to take on new markets and products to remain in business.
Background Urban legends and myths are prevalent in drug-use environments. However, the distinction between myth and fact is not always clear. We found contradictory claims regarding the emergence of cold cook methods for producing methamphetamine when contrasting user-generated reports with official reports repudiating such methods as myths. Our aim is to open the topic for more academic discussion. Methods We examine cold cook methods of methamphetamine production revealed in our ethnographic study and interviews with former (n = 50) and current (n = 48) methamphetamine users. Data were collected in the suburbs of a large southeastern city in the United States. We compare the data with reports from law enforcement professionals and public health officials. Results Official reports claim the cold cook method described by users in our study is a myth and does not produce methamphetamine. Small-scale producers sell it as methamphetamine and users claim it has the same effect as methamphetamine. They are charged for possession and distribution of methamphetamine when caught with this drug. It appears the unintended consequences of recent policy aimed to reduce production and use of methamphetamine may be a user-friendly production method. We do not know the health implications at this time. Conclusion We do not make any definitive conclusions on the legitimacy of the stories or myths discussed here but instead suggest that labelling drug stories as myths might lead to dismissing facts that hold partial truth. The subsequent dismissal of cold cook methods among policy and public health officials risks a range of unintended consequences among vulnerable populations. We present our case for more research attention on the myths of methamphetamine production. Keywords: Cold Cook Methods, Cold Cook Methods step by step, Cold Cook Methods steps, Methamphetamine, Cold Cook Methods list
A focus group is an investigative tool for social research based on a structured and focused discussion with a small group of people, run by a facilitator (moderator) to generate qualitative data through a set of open-ended questions. The focus group technique is a qualitative research methodology popularly used in social research in a wide range of sectors. A researcher uses a set of open-ended questions on a specific topic to generate qualitative data. The focus group is an efficient way of gathering data about particular opinions or attitudes by covering a large number of people in the same group. This entry explores the methodology and processes of focus groups as well as the analysis of data from focus group research.
Micro-level assessment of vulnerability to climate change creates basis for policy formulation. The study specifically ascertained the levels and determinants of vulnerability to climate change among selected food crop farmers. Data collected were analysed using descriptive statistics and ordinary least square regression analysis. The result revealed that 15.95%, 68.97% and 15.08% of the households were highly vulnerable, moderately vulnerable and less vulnerable to climate change respectively. This implies a varied effect on crop farmers. The result also showed that amount saved, extension contacts, household expenditure and value of crop were significant at 1% level. The study recommended the provision of basic amenities and soft loans to farmers as well as an improvement in extension services. It also advocated the introduction of effective climate change mitigation and adaptive measures to boost agricultural output in their area.
Sentiment analysis and opinion mining is a branch of computer science that has gained considerable growth over the last decade. This branch of computer science deals with determining the emotions, opinions, feelings amongst others of a person on a particular topic. Social media has become an outlet for people to voice out their thoughts and opinions publicly about various topics of discussion making it a great domain to apply sentiment analysis and opinion mining. Sentiment analysis and opinion mining employ Natural Language Processing (NLP) in order to fairly obtain the mood of a person’s opinion about any specific topic or product in the case of an ecommerce domain. It is a process involving automatic feature extractions by mode of notions of a person about service and it functions on a series of different expressions for a given topic based on some predefined features stored in a database of facts. In an ecommerce system, the process of analyzing the opinions of customers about products is vital for business growth and customer satisfaction. This proposed research will attempt to implement a model for sentiment analysis and opinion mining on Twitter feeds. In this paper, we address the issues of combining sentiment classification and the domain constraint analysis techniques for extracting opinions of the public from social media. The dataset that was employed in the paper was gotten from Twitter through the tweepy API. The TextBlob library was used for the analysis of the tweets to determine their sentiments. The result shows that more tweets were having a positive subjectivity and polarity on the subject matter.
Background:Calcium, the very important mineralhelps in growth and development ofinfants.Calcium helps in building strong bones, teeth,proper functioning of nerves and muscle, blood clot and in activating the enzymes that convert food into energy. Infants and Children are growing new bone all the time, they need continuous supply of calcium to support the healthy growth.Milk is the only food for infants which is richest source of calcium. Some infants are sensitive to lactose in milk because they have Lactose Intolerance. The present study aimsto develop an alternate milk forlactose intolerance infants with finger millet and pearl millet.Method:Traditional methods were used to process the milletswhich help in retaining and increasing the nutritional content in millets.The millet milk was analyzed for calcium content using the ICPMS.The millet milk was supplemented for 6 weeks to albino rats in comparison with cow milk. The tibia weight and length were measured and calcium content in tibia was analyzed. Result:The calcium content of the millet milk was 80mg/100mlwhere as in cow milk it was 120mg/100ml.The mean calcium content of the tibia inalbino rats was15.35±3.50mg/dl fed with millet milkand20.40±3.74mg/dl in rats fed with cow milk.Conclusion: The developed millet milk contain good amount of calcium on par with cow’s milk, it can be used as substitute milk for lactose intolerant infants.
A mobile adhoc network is a Self-configuring network of mobile routers connected by wireless links. In the mobile adhoc network, each and every device moves independently in any direction so that there are frequent changes in the links. It is essential to learn the position of the neighbors because there is increase in location-aware services. So, there is a chance that the malicious nodes are easily abused the process. The significant problem in mobile networks is correctness of node locations and also it is primarily challenging in the presence of adversaries. So, the neighbor position verification protocol is used to a fully distributed, a lightweight NPV procedure which allows each node to obtain the locations advertised by its neighbors and asses their truthfulness. Further to extend neighbor position verification protocols in the proactive model that need to each node constantly verify the position of its neighbors. So, we introduce a technique called secure link state updating which provides secure proactive topology discovery that is multiply useful for the network operation. This technique is vigorous against individual attackers, it is capable to adjust its capacity between local and network-wide topology discovery, and also operating in networks of frequently changing topology and membership nodes. Experimental results show that the proposed system is high efficiency in terms of security when compared to the existing system.
Determinations of competency in adult criminal court have an extensive history, both procedurally and conceptually. Unlike criminal court, however, juvenile courts were designed for rehabilitation, rather than punishment, and, historically, the issue of competency was not often raised. Recently, however, as stakes for youth in juvenile court have begun to parallel those of defendants in criminal court, youths’ competence has become an important issue. The purpose of this study was to investigate whether defendants’ age and maturity affect judges’ ratings of juveniles’ adjudicative competence in juvenile and criminal court. Three hundred forty two criminal and juvenile court judges reviewed one forensic psychological report about a hypothetical defendant; only the age (12-17) and maturity level (less mature; more mature) of the defendant varied across reports. The judges then rated the juvenile’s adjudicative competence in both juvenile and criminal court, provided ratings of the individual competence components, rated their confidence in their decision, and rated the importance of various characteristics of the juvenile to their decisions. Judges also provided demographic information. Results revealed a main effect for age, with older juveniles generally deemed more competent, and a main effect for maturity, with more mature juveniles generally deemed more competent. There was no interaction between age and maturity. Results suggest that age and maturity play major roles in judicial determinations of juvenile competency
Sulfur dioxide, a noxious air pollutant, can cause health and environmental effects, and its emissions should be controlled. Nonthermal plasma is one of the most effective technologies in this area. This study evaluated the efficiency of a packed-bed plasma reactor (PBR) and in-plasma catalysis (IPC) in SO2 removal process which were finally optimized and modeled by the use of the central composite design (CCD) approach. In this study, SO2 was diluted in zero air, and the NiCeMgAl catalyst was selected as the catalyst part of the IPC. The effect of three main factors and their interaction were studied. ANOVA results revealed that the best models for SO2 removal efficiency and energy yielding were the reduced cubic models. According to the results, both PBR and IPC reactors were significantly energy efficient compared with the nonpacked plasma reactor and had high SO2 removal efficiency which was at least twice larger than that of the nonpacked one. Based on the results, the efficiency of IPC was better than in PBR, but its performance decreased over time. However, the PBR had relatively high SO2 removal efficiency and energy efficiency compared to the nonpacked reactor, and its performance remained constant over the studied time. In optimization, the maximum SO2 removal efficiency and energy efficiency were 80.69% and 1.04 gr/kWh, respectively (at 1250 ppm, 2.5 L/min, and 18 kV as the optimum condition) obtained by the IPC system which were 1.5 and 1.24 times greater than PBR, respectively. Finally, the model’s predictions showed good agreement with the experiments.
The coronaviruses are group of viruses containing about seven members that have genetic material of RNA. They are surrounded by the protein capsid and lipid-containing membrane which has spike protein as flower petals. This family of viruses can infect animals and birds as well as humans causing signs and symptoms of respiratory system. However, these depend on the immune system of the infected host. The COVID-19 pandemic is a major global health disaster and the greatest task have faced the world. The infecting agent of COVID-19 disease was identified on December 31st, 2019 by Chinese scientist in Wuhan City. It was named Novel Coronavirus (Severe Acute Respiratory Syndrome-2 or SARS-2). After that, health minister of China announced that this virus is a new Coronavirus and it is of very high contagious rate [1]. In spite of the existence of many infectious cases in Libya at the winter season, the National Center of Disease Control (NCDC) announced about the first case of coronavirus on March 24th, 2020. It was identified by using a RT-PCR technique for a patient who came from Saudi Arabia. The NCDC, which is the government corporation responsible for the COVID-19 in Libya, has a daily news report about COVID-19 situation, including numbers of new cases infected patients, healing cases and total deaths number all over the country
Mediterranean journal of pharmacy and pharmaceutical sciences
Background: Dilation of pupil in Ophthalmic OPD is a routine procedure. Whether a sympathomimetic agent like phenylephrine should be used in hypertensive patients is still a question to be answered. This study tries to resolve the issue. Objective: To evaluate cardiovascular effects of combination of topical 5% phenylephrine and 0.8% Tropicamide. Method: Total 150 patients were subjected for this study (male and female) between 30-80 years of age. Combination of 5% phenylephrine and 0.8% tropicamide eye drops was instilled at an interval of 15 minutes thrice in the eyes of each patient. Any change in BP or HR was recorded Result: The data was collected and subjected to appropriate statistical method using R software version 4.2.1. This study has shown no significant increase in Blood Pressure and Heart Rate after instillation of 5% Phenylephrine and 0.8% Tropicamide eye drops except in one case. Conclusion: We conclude that combination of 5% Phenylephrine and 0.8% Tropicamide can be safely used in all patients who come for ocular examination but precautionary measures should be taken in hypertensive patients.