Miracle-dz/UniFAR-FTUs huggingface dataset:
ESTIMATIONS OF CHOLESTEROL, TRIGLYCERIDES AND FRACTIONATION OF LIPOPROTEINS IN SERUM SAMPLES OF SOME NIGERIAN FEMALE SUBJECTS

Blood samples (serum) were collected to determine some biochemical parameters: total glycerides (TG), total cholesterol (TC), high density lipoprotein-cholesterol (HDL-C), low density lipoprotein-cholesterol (LDL-C) and very low density lipoprotein-cholesterol (VLDL-C) in 53 female subjects in Warri, Delta State, Nigeria using the Reflotron® (an auto analyser), supported with the use of questionnaire to get information on age and sex. Age range of the subjects was 18–80 years. The TG levels in all the subjects were KEY WORDS : Female serum, Biochemical studies, Therapeutic decision-making Bull. Chem. Soc. Ethiop. 2011 , 25(1), 1-10.
Data Mining Based Approach for Quality Prediction of Injection Molding Process

-Data mining techniques are gradually receiving attention in manufacturing area for process control, quality improvement and detecting causes of defects in products. Injection molding has been a challenge for manufactures and researchers to manufacture products at low cost due to the necessity of manipulating many process parameters in real time to meet the required specifications by keeping quality characteristics under control. Data mining approach has been adopted to predict the quality of product and identifying root causes of short shot and flash through data mining models created by applying Naïve Bayes, Decision Tree, Neural Net and Polynomial by Binomial Classification techniques. These models are trained on injection molding process dataset and their prediction accuracies are evaluated against test cases. Decision Tree, Polynominal by Binominal Classification and Neural Net models are found to have better prediction accuracy (87.5%) than Naïve Bayes Model (75%) in predicting the quality of products. This approach can be used for fine tuning the process parameters by predicting the quality of product ahead of production to minimize the rejections.
Hazardous material-related propagation of the effects of train accidents in the subgrade

A large part of the transport of hazardous materials is carried out by rail. Therefore, the security of these transports is becoming increasingly important. Every catastrophe involving dangerous materials has a negative impact on the participants of the incident and the surrounding environment, because its range is generally not local. It follows that in the event of a catastrophe, its effects should be minimized and remediation should be considered in further actions. This whole process of minimization is possible only when we know the mechanism of spreading the effects of a catastrophe involving hazardous materials in the track, subgrade and ground. It should be remembered that in an extreme case, a catastrophe involving hazardous materials may even lead to an ecological disaster. Dynamic systems, especially those with distributed parameters, can be used to describe the mechanism of the disaster's spread. Properties of phenomena accompanying the analyzed catastrophes are well reflected in their linear or non-linear mathematical models analyzed using various operator methods.
Adopting a social psychological approach to geographic mental maps in foreign policy decision-making

Research on geographic mental maps has relied heavily on the theoretical assumptions of cognitive psychology. This has led to an excessive focus on individual decision-makers mental maps, due to the fact that most cognitive models discard supra-individual, cultural and social dynamics in favour of the individuals’ cognitive performance. However, foreign policy is very rarely the result of a single individual’s decisions. Yet, collective decision-making has habitually been associated with defective or low quality policy outcomes. Recent developments in social psychology allow for a better understanding of the complex social phenomenon at work in foreign policy-making. Accordingly, in the present paper I argue that rather than focus on the individual mental maps of the persons involved in the decision-making process, we should adopt a social psychological approach and try to appreciate the geographic representations created by the decision-making group. We should try to understand in each particular instance how groups construct the political world, namely how they create places and spaces and the foreign policies they deem most appropriate for interacting with them.
Performance-Driven Load Balancing for Distributed File Systems in Clouds

Distributed file systems are the fundamental units for cloud applications where in the data node concurrently serves the computing and storage functions. In these file systems, a file is split by a master node into a set of file chunks and allotted to separate data nodes such that various jobs can be carried out in parallel across the data nodes. However, the unpredictability of the nodes and dynamism in the number of files raise the need for uniform re-distribution of files to prevent the adverse effects of load imbalance. Hence, the latest enhancement to distributed file systems is a decentralized and asynchronous load rebalancing algorithm that exploits both heterogeneity and movement cost for file chunk allocation among data nodes. But, the load rebalancing protocol has its basis in a randomized method wherein the data node periodically collects and sorts the storage load status of an instance of arbitrary chosen data nodes without considering their computational capabilities or the physical proximity information thereby introducing not only considerable workload on the data nodes but also high overhead on message exchanges among data nodes thus leading to
TOP ELECTRODE INVESTIGATION OF OPV MODULES BASED ON P3HT:PC[60]BM FABRICATED VIA ROLL-TO-ROLL PROCESS

Solar photovoltaic (PV) cells allow the direct conversion of sunlight into electricity without CO2 emission. Finding a way to cheaply utilize the vast amount of solar energy is one of the biggest challenges for this technology. The organic photovoltaic cells (OPV) are based on solution-processed photoactive polymers and can be fabricated via roll-to-roll (R2R) processes, which allow high production throughput with low costs. CSEM Brasil is building the foundations of future high-tech industries in Brazil and one of our key technology development areas is OPV modules production using R2R coating. In this work, polymer solar cells based on P3HT: PC[60]BM were prepared by R2R coating (electron transport, active and hole transport layers – ETL, AL and HTL) and by screen printing (top silver electrode). In order to save material and give more transparency of the OPV module were compared and evaluated the performance of two different suppliers of Ag paste (A and B) in three different top contact configurations, solid, grid and honeycomb. Additionally, were compared two different screen suppliers (I and II) for screen printing process and the Ag paste drying time studied. The comparisons were made with modules with an active area of 21.6 cm2 (6 stripes serially connected). Photovoltaic performance was evaluated in terms of Ag paste and screens suppliers, Ag pattern and drying time. Finally, modules were encapsulated in a R2R laminator using a flexible barrier film and evaluated in terms of lifetime.
UV-B IRRADIATION EFFECTS ON BIOLOGICAL ACTIVITIES AND CYTOLOGICAL BEHAVIOR OF SAINFOIN (ONOBRYCHIS VICIIFOLIA SCOP.) GROWN IN VIVO AND IN VITRO

To investigate the feasibility of UV-B irradiation (312 nm), seeds of Onobrychis viciifolia were exposed to five different intensities for determining the effectiveness of cellular behavior, nutritional constituents and biological activities in In vivo and In vitro growth cultures. The atomic spectroscopy analysis confirmed that concentrations of two macronutrients (P and N) improved after UV-B exposure as compared with control plants. Near infrared radiation conducted on both In vivo and In vitro plants showed significant differences on dry matter digestibility (DMD) and crude fiber (CF). Flavonoid and phenolic compounds were increased in both growth cultures by 40% intensity of UV-B irradiation, although In vitro plants had the higher compounds than intact plants. Increasing the UV-B irradiation intensity was also found to yield positive effect on anthocyanin. Observations on cellular behavior such as determination of nuclear and cell areas, mitotic index and chromosomal aberrations were proven to be essential in deducing the effectiveness of UV-B irradiation to induce somaclonal variation in sainfoin.
OPTIMAL AND SUSTAINABLE CITY SIZE BY ESTIMATING SURPLUS FUNCTION FOR METROPOLITANS OF IRAN

By shouldering the burden of a big chunk of global production, and giving Shelter to half of the world’s population, currently cities play an important role in national economies. Benefits of agglomeration in cities have played a major role in the process of economic development of different countries, however, the expansion of urbanization has produced some problems including environmental and noise pollutions and traffic problems. Therefore many of the Metropolitan residents blame the population growth for the problems they face while urban governors have to find an answer to the question that if there is an optimum size for their cities, what is that size? This essay reflects on the optimal and sustainable size of the metropolitans in Iran and gives separate estimation for each. Due to scarcity of statistical information this article includes five metropolitans of Tehran, Isfahan, Mashhad, Shiraz and Ahvaz, within the time span of 1999 to 2012. This survey is based on the estimation of surplus function including the pollution externalities. The results show that Tehran is overpopulated to the excess of 71 percent of its optimum size, and also it has exceeded its sustainable size by five percent. Also other four metropolitans of Isfahan, Mashhad, Shiraz and Ahvaz have exceeded their optimal size but they still are in their relevant sustainable limits.
‘Stuck’ in nonstandard schedules? Married couples’ nonstandard work schedules over the life course

ABSTRACT Though employment outside of regular daytime business hours has remained high since the 1990s, trends in nonstandard employment schedules over the life course and across households remain under-examined. The consequences of nonstandard scheduling extend to workers, their spouse, and children, urging greater attention to the distribution of nonstandard schedules at the couple-level. Using all three waves of the National Survey of Families and Households, this article examines the prevalence, persistence and sociodemographic patterns of rotating and night employment at the couple-level, following 913 married couples in the United States as they aged from the late 1980s to early 2000s. Though aging reduced the likelihood that couples had one or both spouses working nonstandard hours, roughly one-third of couples with nonstandard scheduling continued to experience nonstandard schedules during the subsequent observation period. Nonstandard schedules were stratified by education and race/ethnicity. This stratification persisted as couples aged, even after controlling for prior work schedules. Findings suggest that disadvantaged couples remain disproportionately exposed to schedules associated with negative outcomes for family well-being across the life course.
Flexible One-Dimensional Metal–Insulator–Graphene Diode

In this work, a novel one-dimensional geometry for metal-insulator-graphene (1D-MIG) diode with low capacitance is demonstrated. The junction of the 1D-MIG diode is formed at the 1D edge of Al2O3-encapsulated graphene with TiO2 that acts as barrier material. The diodes demonstrate ultra-high current density since the transport in the graphene and through the barrier is in plane. The geometry delivers very low capacitive coupling between the cathode and anode of the diode, which shows frequency response up to 100 GHz and ensures potential high frequency performance up to 2.4 THz. The 1D-MIG diodes are demonstrated to function uniformly and stable under bending conditions down to 6.4 mm bending radius on flexible substrate.
Met and DRD 2 Taq 1 A polymorphisms interact to influence PTSD symptom severity : A preliminary investigation in a South African population

Background: We evaluated the role that selected variants in serotonin transporter (5-HTT), dopamine receptor 2 (DRD2) and brain-derived neurotrophic factor (BDNF) genes play in PTSD symptom severity in an at-risk population. We also investigated the interaction between the genetic variants to determine whether these variables and the interactions between the variables influenced the severity of PTSD symptoms. Methods: PTSD symptoms were quantitatively assessed using the Davidson Trauma Scale (DTS) in 150 participants from an at-risk South African population. All participants were genotyped for the 5-HTTLPR, DRD2 Taq1A and BDNF Val66Met polymorphisms. Gene– gene interactions were investigated using various linear models. All analyses were adjusted for age, gender, major depressive disorder diagnosis, level of resilience, level of social support and alcohol dependence. Results: A significant interaction effect between DRD2 Taq1A and BDNF Val66Met variants on DTS score was observed. On the background of the BDNF Val66Val genotype, DTS score increased significantly with the addition of a DRD2 Taq1A A1 allele. However, on the BDNF Met66 allele background, the addition of an A1 allele was found to reduce total DTS score. Conclusions: This study provides preliminary evidence for an epistatic interaction between BDNF Val66Met and DRD2 Taq1A polymorphisms on the severity of PTSD symptoms, where both too little and too much dopamine can result in increased PTSD symptom severity.
A Predictive Model for the Risk of Mental Illness in Nigeria Using Data Mining

This study identified the risk factors for mental illness and formulated a predictive model based on the identified variables. The study simulated the formulated model and validated the model with a view to developing a model for predicting the risk of mental illness. Following the review of literature in order to understand the body of knowledge surrounding mental illness and their corresponding risk factors, interview with mental experts was conducted in order to validate the identified variables. Naive Bayes’ and the Decision Trees’ Classifiers were used to formulate the predictive model for the risk of mental illness based on the identified and validated variables using the WEKA software. Data was collected from 30 patients with an almost equal distribution of no, low, moderate and high risk of mental illness cases. The results showed that there were three classes of risk factors associated with mental illness, namely: biological factors, psychological factors and environmental factors. The results further showed that the formulation with Decision Trees Classifiers revealed the most relevant variables for the risks of mental illness such as losing anyone close. C4.5 decision trees algorithm with an accuracy of 83.3% outperformed the Naive Bayes’ algorithm which had an accuracy of 76.7%. The study concluded that the variables identified by the C4.5 Decision Trees algorithm can assist mental health experts to apply the rules deduced by the algorithm for the early detection of mental illness.
Analysis of propagation characteristics of elastic waves in heterogeneous nanobeams employing a new two-step porosity-dependent homogenization scheme

2019 ) Abstract. The important effect of porosity on the mechanical behaviors of a continua makes it necessary to account for such an effect while analyzing a structure. motivated by this fact, a new two-step porosity dependent homogenization scheme is presented in this article to investigate the wave propagation responses of functionally graded (FG) porous nanobeams. In the introduced homogenization method, which is a modified form of the power-law model, the effects of porosity distributions are considered. Based on Hamilton’s principle, the Navier equations are developed using the Euler-Bernoulli beam model. Thereafter, the constitutive equations are obtained employing the nonlocal elasticity theory of Eringen. Next, the governing equations are solved in order to reach the wave frequency. Once the validity of presented methodology is proved, a set of parametric studies are adapted to put emphasis on the role of each variant on the wave dispersion behaviors of porous
Effects of high light stress on photosynthesis of polar macroalgae in relation to depth distribution

The capability of several polar macroalgal spec~es to protect photosynthesis against excesslve irradiation by dynamic photoinhibition was investigated and related to the specific depth distribut ~ o n of the species. Photoinhibition of photosynthesis was induced by exposure of the algae to a photon fluence rate of 500 pm01 m-2 S-' for 2 h. Changes in the oxygen production rate and in v ~ v o chlorophyll fluorescence were recorded. For oxygen measurements gross P,, and the slope (alpha) of the fluence rate-response curve were detel-m~ned before and after photoinhibitory treatment and after recovery of photosynthesis in dim light. In fluorescence measurements the kinetics of change of the variable fluorescence during the inhibitory time phase and the recovery phase were determined. Significant differences in the reactions dunng exposure and recovery were found in the different algal classes. With~n each class a correlation between species depth distnbution and the ability to cope with high light stress was found. Algae growing in nature close to the water surface or in the Intertidal were generally not severely stressed. Algae growing in the rn~ddle and upper subtidal zone showed a decrease In photosynthetic activity during high l ~ g h t stress with full recovery of photosynthesis In subsequent d ~ m light. Fluorescence measurements showed that the reaction kinetics of photoinhibition and recovery were slower than in algae growing close to the water surface or in the intertidal. Algae growing in the lower subtidal also showed a decrease in the photosynthetic parameters due to high light stress; however, photosynthesis recovered only slightly and very slowly d u r ~ n g subsequent dim light conditions. In these algae the decrease in the photosynthetic activity was caused by photodamage rather than by dynamic photoinhibition. In conclusion these experiments indicate that algae already cultured for a long time in the laboratory, retain a certain genetic adaptation to the natural light environment. This is true not only for the lower light limit, but also for the upper light limit. K E Y WORDS: Depth distribution. Fluorescence. High light stress Macroalgae . Oxygen production. Photoinhibition . Photosynthesis
Large Multi-scale Spatial Modeling Using Tree Shrinkage Priors

We develop a multiscale spatial kernel convolution technique with higher order functions to capture fine scale local features and lower order terms to capture large scale features. To achieve parsimony, the coefficients in the multiscale kernel convolution model is assigned a new class of "Tree shrinkage prior" distributions. Tree shrinkage priors exert increasing shrinkage on the coefficients as resolution grows so as to adapt to the necessary degree of resolution at any sub-domain. Our proposed model has a number of significant features over the existing multi-scale spatial models for big data. In contrast to the existing multiscale approaches, the proposed approach auto-tunes the degree of resolution necessary to model a subregion in the domain, achieves scalability by suitable parallelization of local updating of parameters and is buttressed by theoretical support. Excellent empirical performances are illustrated using several simulation experiments and a geostatistical analysis of the sea surface temperature data from the pacific ocean.
In Situ Hyperspectral Remote Sensing for Monitoring of Alpine Trampled and Recultivated Species

Vegetation, through its condition, reflects the properties of the environment. Heterogeneous alpine ecosystems play a critical role in global monitoring systems, but due to low accessibility, cloudy conditions, and short vegetation periods, standard monitoring methods cannot be applied comprehensively. Hyperspectral tools offer a variety of methods based on narrow-band data, but before extrapolation to an airborne or satellite scale, they must be verified using plant biometrical variables. This study aims to assess the condition of alpine sward dominant species (Agrostis rupestris, Festuca picta, and Luzula alpino-pilosa) of the UNESCO Man&Biosphere Tatra National Park (TPN) where the high mountain grasslands are strongly influenced by tourists. Data were analyzed for trampled, reference, and recultivated polygons. The field-obtained hyperspectral properties were verified using ground measured photosynthetically active radiation, chlorophyll content, fluorescence, and evapotranspiration. Statistically significant changes in terms of cellular structures, chlorophyll, and water content in the canopy were detected. Lower values for the remote sensing indices were observed for trampled plants (about 10–15%). Species in recultivated areas were characterized by a similar, or sometimes improved, spectral properties than the reference polygons; confirmed by fluorescence measurements (Fv/Fm). Overall, the fluorescence analysis and remote sensing tools confirmed the suitability of such methods for monitoring species in remote mountain areas, and the general condition of these grasslands was determined as good.
Shark‐inflicted mortality on a population of harbour seals (Phoca vitulina) at Sable Island, Nova Scotia

Shark-inflicted mortality on harbour seals Phoca vitulina on Sable Island, Nova Scotia, was studied from 1980 to 1997, based on carcasses washed up on shore. During this period, pup production declined dramatically from over 600 in 1989 to 40 in 1997. Between 1980 and 1992, pup deaths only were recorded, and only during the May‐June pupping period, while deaths in all age groups were recorded year-round between 1993 and 1997; 458 pups, 23 juveniles and 241 adults were found. Shark-inflicted mortality in pups, as a proportion of total production, was under 10% during 1980‐93, roughly 25% in 1994‐95, and increased to 45% in 1996. Shark-inflicted mortality occurred in all months except December, January and February, with c. 80% of the pups killed during the pupping period, and 97% of the adults killed outside the pupping period. The decline in pup production was not only a result of reduced recruitment owing to pup mortality. A greater proportion of reproductive females than males was killed. We estimate that shark-inflicted mortality on pups and adult females reduced pup production on Sable Island by 43 to 154 pups annually between 1993 and 1997. Our results indicate that sharks are having an impact on Sable Island harbour seals, possibly to the extent of limiting population growth, or contributing to the observed population decline. Potential reasons for this increased mortality are discussed.
An exact solution for the steady state phase distribution in an array of oscillators coupled on a hexagonal lattice

When electronic oscillators are coupled to nearest neighbors to form an array on a hexagonal lattice, the planar phase distributions desired for excitation of a phased array antenna are not steady state solutions of the governing non-linear equations describing the system. Thus the steady state phase distribution deviates from planar. It is shown to be possible to obtain an exact solution for the steady state phase distribution and thus determine the deviation from the desired planar distribution as a function of beam steering angle.