Miracle-dz/UniFAR-FTUs huggingface dataset:
Bacteriological Profile (Aerobic) of Burn Wound Infection with Its Antibiotic Sensitivity Testing in Silchar Medical College and Hospital

Infected burn wounds are not only associated with a delay in epidermal maturation and deep scar formation but also prolongs the hospital stay of the patient and increases the chances of mortality due to sepsis, when compared to non-infected patients. 1 Most of the burn victims, who survive including the initial 24 hours after burns, succumb to burn infection and its complications. Immediately following the thermal injury, the burn wounds are sterile; but eventually get Colonized with microorganisms. 2 Various factors responsible International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 7 Number 07 (2018) Journal homepage: http://www.ijcmas. com
EEG-Based Emotion Recognition Using Logistic Regression with Gaussian Kernel and Laplacian Prior and Investigation of Critical Frequency Bands

Emotion plays a nuclear part in human attention, decision-making, and communication. Electroencephalogram (EEG)-based emotion recognition has developed a lot due to the application of Brain-Computer Interface (BCI) and its effectiveness compared to body expressions and other physiological signals. Despite significant progress in affective computing, emotion recognition is still an unexplored problem. This paper introduced Logistic Regression (LR) with Gaussian kernel and Laplacian prior for EEG-based emotion recognition. The Gaussian kernel enhances the EEG data separability in the transformed space. The Laplacian prior promotes the sparsity of learned LR regressors to avoid over-specification. The LR regressors are optimized using the logistic regression via variable splitting and augmented Lagrangian (LORSAL) algorithm. For simplicity, the introduced method is noted as LORSAL. Experiments were conducted on the dataset for emotion analysis using EEG, physiological and video signals (DEAP). Various spectral features and features by combining electrodes (power spectral density (PSD), differential entropy (DE), differential asymmetry (DASM), rational asymmetry (RASM), and differential caudality (DCAU)) were extracted from different frequency bands (Delta, Theta, Alpha, Beta, Gamma, and Total) with EEG signals. The Naive Bayes (NB), support vector machine (SVM), linear LR with L1-regularization (LR_L1), linear LR with L2-regularization (LR_L2) were used for comparison in the binary emotion classification for valence and arousal. LORSAL obtained the best classification accuracies (77.17% and 77.03% for valence and arousal, respectively) on the DE features extracted from total frequency bands. This paper also investigates the critical frequency bands in emotion recognition. The experimental results showed the superiority of Gamma and Beta bands in classifying emotions. It was presented that DE was the most informative and DASM and DCAU had lower computational complexity with relatively ideal accuracies. An analysis of LORSAL and the recently deep learning (DL) methods is included in the discussion. Conclusions and future work are presented in the final section.
A simplified decoding algorithm for multi-CRC polar codes

Polar codes represent one of the major breakthroughs in 5G standard, and have been proven to be able to achieve the symmetric capacity of binary-input discrete memoryless channels using the successive cancellation list (SCL) decoding algorithm. However, the SCL algorithm suffers from a large amount of memory overhead. This paper proposes an adaptive simplified decoding algorithm for multiple cyclic redundancy check (CRC) polar codes. Simulation results show that the proposed method can reduce the decoding complexity and memory space. It can also acquire the performance gain in the low signal to noise ratio region.
Numerical study and comparison of heat transferring ability of geometrically modified lithium‐ion cells for battery packs

The growth in electric vehicles is climbing so is the requirement of battery packs. Most commonly used battery packs are made of cylindrical lithium‐ion (Li‐ion) cells arranged a specific orientation. For a highly effective cooling system of a Li‐ion battery pack, an appropriate cell arrangement plays a substantial role. In electric vehicles, the battery pack decides the performance of it, as it is the only power source. Under extreme temperature conditions, the efficiency of the battery packs decreases. This non‐uniform effect must be minimized by recommending the appropriate location and orientations of cells. Hence, the battery pack is modeled and analyzed for both inline and staggered arrangements in this study. The numerical simulations are carried out using Ansys Fluent‐18. Moreover, this paper also explores the possibilities of using cells with an elliptical cross‐section and its effect on cooling performances and recommendations have been made. It is found that the pressure drop decreases by five times when the circle is replaced by an ellipse. The pressure drag decreases when the ellipse is placed in a staggered arrangement and is found to be 72.63% with respect to inline arrangements. Though the flow characteristics were in favor of the ellipse, the heat dissipation was found to be better for circular cells.
Development of a mathematics instructional media by utilizing geogebra to enhance junior high school students’ Higher order thinking skills

This study aimed to develop an interactive visual media called Geoactive (Geogebra interactive) by employing Geogebra to improve students higher order thinking skill (hots) in the learning of solid geometry. The media was developed by using the model of 4D from Thiagarajan, which consists of define, design, develop, & disseminate. The product testing was conducted in SMPN 2 BUA, and two validators validated the product. Results show that: (1) the Geoactive developed was declared valid with the average assessment score of 4.45 which was in the category of very good; (2) the interactive media developed was declared practical with its indicator of the average of learning implementation being 78.67% which was in the category of good and the score of students’ response was 2.89 which was categorized as good; (3) the Geoactive developed was effective with the completeness indicator of conceptual understanding and problem solving was 77,14% and 71,43%, respectively. Both of the two scores were categorized as high
The impact of individual differences on investigative hypothesis generation under time pressure

When decisions are made under time pressure, individuals tend to reduce the number of hypotheses generated to explain and solve problems. This research investigates the extent to which individual differences in (a) domain-specific experience, (b) fluid intelligence, (c) need for closure (NFC), and (d) time urgency moderated the effect of time pressure on investigative hypothesis generation. Korean detectives (N = 133) participated in simulated investigative scenarios. To induce the perception of time pressure, one group was informed that the task would have to be completed under time pressure (N = 66), whereas the other group did not receive this instruction (N = 67); although both groups had the same amount of time). Outcomes included the number and quality of hypotheses generated for solving the case. The quality of hypotheses generated was measured against criteria established by expert detectives. Results revealed that time pressure directly decreased the quantity and quality of hypotheses generated. In the relationships, low time urgency moderated the effect of time pressure on the number and quality of hypotheses generated, also low NFC moderated the impact of time pressure on the number of hypotheses generated. Furthermore, the most experienced detectives were least affected by the negative association between time pressure and the quality of hypotheses generated. The findings suggest lower time urgency, lower NFC and more experience are adaptive ‘protective’ factors against the negative impact of time pressure on hypothesis generation within high stakes and uncertain situations such as rape investigations.
Physicochemical and antibacterial assessment of Iranian Propolis

Background: Propolis is one of the useful bee colony products that have been used in traditional medicine for centuries. In this study, the physicochemical characters and their antibacterial effect of Iranian Propolis collected from Qazvin province was assessed. Methods: In this study, Thin Layer Chromatography and Vacuum Liquid Chromatography to detect different compounds of the extract have been used. In the initial evaluation of Propolis extract, it was found that the extract includes variable compounds with different polarity; so, the initial classification of extract with different polarity solvents was essential. Finally, 0.1 gr hydro alcoholic Propolis was injected to the HPLC by ultrasound. The antibacterial effect of Iranian ethanol extract Propolis was measured using a microdilution method against Pseudomonas aeruginosa: P. aeruginosa and Staphylococcus aureus: S.aureus standard strains and the minimum bactericidal and inhibitory concentration were defined. Results: Primary analysis of the ethanol extract by analytical Thin Layer Chromatography, demonstrated the presence of flavonoid and phenol in it. Minimum inhibitory concentration and Minimum Bactericidal Concentration for Staphylococcus aureus: S.aureus standard strain was 2.5mg/ml. The same procedure was done for Pseudomonas aeruginosa: P. aeruginosa standard strain and the Minimum inhibitory concentration and Minimum Bactericidal Concentration were 50mg/ml of Propolis extracts. Conclusion: According to the results, the alcoholic extract of propolis from Qazvin province of Iran provides significant antimicrobial activity. Its powerful activity may be due to high total phenolic and flavonoid contents. Keywords: Iranian propolis, Antibacterial activity, Phenolic compounds, Flavonoid compound
The relationship of Arab economic integration to foreign direct investment in the Arab countries: Impact analysis using the augmented gravity model

Article history: Received 16 October 2019 Received in revised form 22 January 2020 Accepted 23 January 2020 This study aims to make contributions to the development of foreign direct investment in the Arab countries and make it a tool to activate the Arab economic integration. And try to investigate the specificity of prosperous global, regional blocs such as the European Union and the North American bloc to know the factors of success. It is focused on the relationship between foreign direct investment flows and the stages of Arab economic integration, especially Arab intra-trade. The extended gravity model relied on the impact of foreign direct investment in Arab intra-trade flows, which is considered a stage of economic integration and analysis during 1995-2017 on some Arab countries where statistics and the use of panel data were available. The results concluded that there is a negative and significant effect of the distance between two countries on the foreign trade flows, a positive and significant effect of inflation, i.e., the opposite of what was expected, as well as a positive and significant impact of the crude GDP of the exporting country and a negative impact of the crude product of the importing country but not significant, and a positive non-significant effect of the flows. FDI in exporting countries, the non-significant negative impact of FDI flows in importing countries. Since most of the studies on the subject did not address this impact, which makes this study useful for decision-makers in the Arab countries to take advantage of them to promote Arab economic integration, especially those countries seeking to open to the outside world. Through the results obtained, the Arab countries can benefit from them to attract the most significant possible amount of foreign investments, mainly Arab, as well as possible for large Arab companies to invest in Arab countries to achieve Arab economic integration. This study also presents a new proposition, which is to study the impact using the expanded gravity model of the state of Arab countries in a recent period.
Cohabitation Among University Students in Oyo State, South West Nigeria; Causes and Consequences: Implications for Counselling

The investigator embarked on the research to find out the causes and consequences of cohabitation among university students in Oyo State, South-West Nigeria. In order to carry out the investigation, the researcher formulated two research questions and one hypothesis to guide the investigation. The researcher constructed an instrument known as “Cohabitation Among University Students, Causes and Consequences Questionnaire” (CAUSCCQ) to collect information from the respondents. The investigator carried out a reliability test of the instrument using the test re-test method. A reliability coefficient of 0.85 was obtained showing that the instrument was reliable to carry out the research. The items of the instrument had face and content validity as well as language appropriateness. The researcher used 3 research assistants to administer 271 copies of the instrument on the respondents. The research assistants retrieved 245 copies of the questionnaire. The researcher scored, collated and made use of the mean and standard deviation to answer the two research questions while one-way Analysis Of Variance ANOVA was used to test the hypothesis. The investigation revealed in Table 1 that some students cohabit because of high on-campus accommodation fee, with mean score of 2.79, some others cohabit due to financial difficulties in order to save on rent, food and other expenses and also as a result of their freedom from parental control and supervision. The research found out in Table 2 that one of the consequences of cohabitation is unwanted pregnancy with mean score of 3.52. The investigation also revealed in Table 2 that unwanted pregnancy may result into abortion with mean score of 3.49. Finally, the research found out that there is no significant difference among Federal, State and Private university student cohabiters in their assessment of the consequences of cohabitation. It is therefore recommended that Federal, State and Private owners of universities should put up adequate number of halls of residence for students.
Investigation of Spermatic Abnormalities Associated with Smoking at The Hospital Center for Research and Application in Endoscopic Surgery and Human Reproduction, Cameroon, Cameroon

Introduction: The gradual deterioration of sperm parameters, observed over the years, is attributed to environmental factors such as tobacco. Smoking has already been incriminated in erectile dysfunction as well as in alterations in sperm quality. This study aims to determine the spermatic abnormalities associated with active and/or passive exposure to smoking. Methods: A cross-sectional analytical study was conducted over a period of 8 months (September 2016 - April 2017) at the Hospital Center for Research and Application in Endoscopic Surgery and Human Reproduction. All men with spermatic abnormalities who agreed to give informed consent were included consecutively. The mode of exposure to smoking and spermatic abnormalities were sought. The statistical analysis was done using the software Epi info version 3.5. 4. using the Chi-square test with a value of p <0.05 considered as statistically significant. Results: A total of 228 men with a spermatic anomaly were included in the study, of whom 82 (36.0%) were exposed to smoking. The proportion of men with oligozoospermia was higher among smokers (49, 59.8%) than among non-smokers (62, 42.5%), similarly for those with oligoasthenozoospermia (smokers: 25, 30.5% vs. no smokers 37, 25.3%). These differences were statistically significant for oligozoospermia (p = 0.012) and oligoasthenozoospermia (p = 0.028). Conclusion: Spermatic abnormalities found in passive and/or active tobacco exposure were oligozoospermia and oligoasthenozoospermia.
Understanding the Key Master of Construction Project Management Graduate Competencies Required to Meet Industry Needs in Australia

ABSTRACT Within Australia, the construction industry is one of the largest contributors to the Australian national economy. Yet despite the economic significance of the sector, and the need for graduates of Master’s level programmes entering the construction industry to have the skill sets and competencies required to meet industry requirements, there has been little research to date that examines the graduate competencies required to meet construction industry needs. This article examines the preliminary results from a structured survey aimed at identifying important Master of Construction Project Management graduate competencies from the perspective of key personnel in recruitment and senior managerial roles within the construction industry. From the data, it was found that within the construction industry, greater significance is placed on interpersonal skills, and competencies defined as traditionally fitting within core technical knowledge, than on business and research skills, knowledge of environmental waste management systems, and sustainability and life cycle analysis. The results highlight a need for further research examining why the industry values certain skill sets over others, and whether the skills and competencies valued when hiring graduates of Master of Construction Project Management programmes varies depending on the scale of the company and the organization’s construction sector focus.
Nexus between Family Socioeconomic Status and Alcohol Consumption Moderated by Religiosity among Secondary School Adolescents in Uganda

This paper focuses on the relationship between family socioeconomic status and alcohol consumption. It further covers the moderation effect of religiosity on the relationship between family socioeconomic status and alcohol consumption among secondary school adolescents in Bushenyi Ishaka Municipality in Uganda. The study employed a cross-sectional survey with quantitative method of data collection and analysis. The schools for the study were selected through a stratified proportionate sampling method. Schools were categorised into two strata; government and private secondary schools from which 6 of them were sampled and simple random sampling techniques were used to arrive at the final sample study of 404 participants from six schools. Data was collected using a self-administered questionnaire with standardised scales. The instrument comprised biodata, SES scale, religiosity, spiritual scale for Youth, and AUDIT Test for Alcohol use. Responses were obtained from a total of 404 participants who included females as the majority (54.7%). The mean age of the students was 15.91. Results show that there was a significant relationship between family socioeconomic status (SES) and alcohol consumption. Religiosity had significant positive moderation effect on the relationship between family socioeconomic status and alcohol consumption among secondary school adolescents. Religiosity is a strong resilience and deters adolescents from consuming alcohol regardless of their family socioeconomic status.
Experimental assessment of new insulation coatings for lean burn spark-ignited engines

Clean and highly efficient internal combustion engines will still be necessary in the future to meet the ambitious CO2 emissions reduction targets set for light-duty vehicles. The maximal efficiency of stoichiometric Spark-Ignited (SI) gasoline engines has been steadily increasing in recent years but remains limited by the important relative share of cooling losses. Low heat rejection engines using ceramic barrier coatings have been presented in the past but smart insulation coatings are gaining a renewed interest as a more promising way to further increase the engine maximal thermal efficiency. This article is highlighting some important effects of smart insulation coatings developed for lean-burn spark-ignited gasoline engines. Five different coatings with low heat conductivity and capacity are applied on aluminum engine parts with the atmospheric plasma spray technique and are tested with two different engines. The laser induced phosphorescence technique is firstly used in an optical single cylinder engine to quantify the thermal performance of these coatings in terms of temperature swing during combustion. A maximal increase in the piston surface temperature of around 100 °C is measured at low load, confirming thus the expected impact of the low heat conductivity and capacity, and suggesting thus a positive impact on fuel consumption. Thanks to the tests performed with a similar metal single cylinder engine, it is shown that the unburned hydrocarbon emissions can significantly increase by up to 25% if the open porosity on top of the coating is not properly sealed, while the surface roughness has no impact on these emissions. When applied on both the piston and the cylinder head, the optimized coating displays some distinct effects on the maximal heat release rate and NOx emissions, indicating that the thermal environment inside the combustion chamber is modified during combustion. Thanks to the temperature swing between cold and hot engine phases the volumetric efficiency can also be kept constant. However, no increase in efficiency can be measured with this optimized coating which suggests that the heat balance is not affected only by the reduction in the temperature differential between the walls and the gas.
Biotic exchange leaves detectable genomic patterns in the Australian rain forest flora

The movement (or invasion) of plant lineages from Sunda (the Malay Archipelago) into Sahul (mainland Australia) has resulted in a present‐day Australian rain forest flora of mixed ancestries. Floristic integration increased during the Quaternary when continental vegetation was subjected to recurrent expansion/contraction cycles. To date, this expansion history has yet to be investigated through multi‐species, landscape‐level genetic analyses within tropical Northern Australia, presumably the main point of contact for Sunda lineages. Here, we characterize and compare the dynamics of 53 species of Sunda and Sahul ancestry co‐distributed across the Australian Tropics and Subtropics. We use whole chloroplast genomic datasets to obtain comparable measures of species‐level diversity and estimate community dynamics through time across multiple rain forest sites. Unlike Sahul‐derived species, Sunda‐derived species show consistently low genomic diversities, with recent accumulation rates for Sunda species being detected across all sites, confirming recent arrival and expansion across eastern Australia. A subset of Sunda‐derived species with continental distributions consistently exhibited highest diversity at the most northerly site sampled, suggesting north to south colonization processes. The same species, however, differed in the levels of genomic differentiation between the Tropics and Subtropics, suggesting that continental expansion occurs at different temporal scales, with some species experiencing a northern time lag before a southern expansion along the east coast of Australia.