Miracle-dz/UniFAR-FTUs huggingface dataset:
MANAGEMENT AS A DETERMINANT OF EFFECTIVENESS AMONG SELECTED PUBLIC AND PRIVATE SECONDARY SCHOOLS IN EASTERN REGION OF UGANDA

This study was to establish the nature of relationship between management and levels of effectiveness among secondary school in the public and private sector domains in the Eastern Region of Uganda. The study was conducted by adapting the ideas of the Systems Theory to chosen components of school management. Using a quantitative comparative co relational ex-post facto survey design, data were collected from 223 public and private secondary schools from 23 districts of the Eastern region of Uganda. Self-administered questionnaires and school results score sheets were used as the main data collection instruments. Data were then analyzed at univariate level using frequency counts and summary statistics, at bivariate level using t-tests and correlation analyses. At multivariate level, Factor and Chi-square analyses were applied. The study revealed that the effectiveness of a majority of secondary schools in the Eastern Region of Uganda was below average. An array of characteristics that best explained various components of school management were identified. Those characteristics included consultations, personal reward, participatory decisionmaking, values and beliefs, awareness of staff capabilities, sharing responsibilities, targeted delegation, self-motivation and an open door policy. The conclusion was that despite a variety of management approaches, effectiveness levels of both public and private secondary schools remained low. It was recommended that for the schools in the Eastern Region to improve their effectiveness, school managers and teachers need to be regularly appraised and trained on an array of pertinent school management issues.
SOME FIXED POINT THEOREMS IN b 2-METRIC SPACES

In this paper, we first prove a result that gives a sufficient condition for the convergence of the sequences in the b2-metric space. Next, we give some fixed point theorems in the b2-metric space. Some of our results are the corresponding generalizations of the known results in the b2-metric space, which is confirmed by some examples.
Running head : RELATIONSHIPS BETWEEN PERSONALITY AND LEADERSHIP 1 Relationships between Personality and Leadership

The organizations must select the right leaders for obtaining the expected results, and due to that importance, the study of the relationships between Personality and Leadership Styles had been developed some years ago in some countries, including Peru. This is a very important issue, which needs improvement of knowledge. The theoretical framework of this literature review is related to: (a) a brief description about definitions of leader; (b) relationships between leadership styles, industry conditions, and organizational performance; (c) relationships between personal traits and leadership styles, using charismatic leadership theory and the Five Factor Model; and (d) conclusions.
eterminants of capital structure and firm financial performance — A LS-SEM approach : Evidence from Malaysia and Indonesia ur

We examine the impact of capital structure determinants on firm financial performance together with the mediation effect of firm leverage in Malaysia and Indonesia over the period of 1990–2010. Our results show that certain of the capital structure determinants directly affect firm financial performance. We also observe that only the Malaysian sample has a positive significant correlation between firm leverage and firm financial performance. Malaysian firms use external financing instead of internal financing to heighten performance. Our results also show that firm leverage plays a mediating role in Malaysia but not for the Indonesian sample. The asset structure, growth opportunities, liquidity, non-debt tax shield and interest rate are the attributes that were indirectly influenced by firm leverage on firm financial performance. Further analysis for multi-group analysis (MGA) in PLS was also used to test the equality of the parameter estimates. We observe that certain attribute coefficients in the determinants of capital eywords: apital structure everage
Effects of Soil Fertilization on Sakha 105 Rice Cultivar Productivity, NPK Uptake and Soil Nutrient

Balanced supply of essential nutrient is one of the most important factor for increasing rice yield. Hence, knowledge of interaction of N with other nutrients are very important for improving fertilizer use efficiency and consequently increasing rice yield. A Field experiment was carried out at Rice Research and Training Center experimental farm during 2016 and 2017 seasons to assess the influence of different combinations of N, P, K and Zn fertilizer on yield of Sakha105 rice variety, its attributes, NPK uptake, N-recovery efficiency and agronomic nitrogen use efficiency. The fertilizer combinations were: (1) control, (2) N, (3) N + P, (4) N + K, (5) N + Zn, (6) N + P + Zn, (7) N +K + Zn, (8) N + P + K, and (9) N + P + K + Zn. Yield and yield attributes of Sakha 105 rice cultivar were significantly affected by different combinations of N, P, K and Zn fertilizer. The NPKZn treatment resulted in the highest grain yield, number of panicles hill, number of filled grain panicle and lowest sterility percentage compared with the control. In addition, the uptake of N, P and K varied significantly by the application of different combinations of N, P, K and Zn fertilizer in both growing seasons. Nitrogen recovery efficiency % varied significantly with different fertilizers and ranged from 24.01 to 41.39% and from 26.08 to 43.99% in 2016 and 2017, respectively. The application of different chemical fertilizers significantly increased the available soil NH4 + content and available soil P concentration at different days after transplanting compared with the control. The study suggests that balance nutrient application using N, P, K and Zn fertilizers is a key management strategy for sustaining soil fertility and therefore increasing rice yield.
Differentiation of some Pramenka sheep breeds based on morphometric characteristics

Abstract For the purpose of the morphometric characterization and differentiation of local sheep breeds that belong to the group of breeds called Pramenka or Zackel, two Slovenian (Bela Krajina and Istrian Pramenka) and four Montenegrin sheep breeds (Bardoka, Sjenička, Pivska Pramenka, and Zeta Žuja) were studied. The variation of morphometric measures and nine morphometric indices were analysed. Principal component analysis (PCA) was applied in order to provide an easier description of body size and shape. Regarding body size, the Sjenička breed was one of the largest breeds (body weight 76.4 kg, wither height 72.7 cm, chest circumference 100.3 cm), while Zeta Žuja had the smallest body size (37.1 kg, 64.8, and 81.9 cm). On the other hand, Slovenian Istrian Pramenka had the largest body length, chest depth, chest width, and rump width among all included breeds (79.4, 33.6, 22.7, and 21.2 cm). Bela Krajina, Istrian Pramenka, and the Sjenička breed, according to the index of body frame (IBF) value (107–114), have a rectangular body frame, Bardoka and Pivska Pramenka have a square body frame (99.3–100), and Zeta Žuja has a short body frame (91.8). The PCA of all morphometric parameters extracted three components accounting for 96.6 % of the cumulative variance. An unweighted pair–group method with arithmetic mean (UPGMA) cluster analysis by Euclidian distance shows diversity among the studied breeds, through it grouped Pivska Pramenka with Sjenička and Istrian with Bela Krajina Pramenka in two clusters, while Bardoka and Zeta Žuja were clustered separately.
In dialogue with an avatar , language behaviour is identical compared to dialogue with a human partner

The use of virtual reality (VR) as a methodological tool is becoming increasingly popular in behavioral research as its flexibility allows for a wide range of applications. This new method has not been as widely accepted in the field of psycholinguistics, however, possibly due to the assumption that language processing during human-computer interactions does not accurately reflect human-human interactions. Yet at the same time there is a growing need to study human-human language interactions in a tightly controlled context, which has not been possible using existing methods. VR, however, offers experimental control over parameters that cannot be (as finely) controlled in the real world. As such, in this study we aim to show that human-computer language interaction is comparable to human-human language interaction in virtual reality. In the current study we compare participants’ language behavior in a syntactic priming task with human versus computer partners: we used a human partner, a human-like avatar with human-like facial expressions and verbal behavior, and a computer-like avatar which had this humanness removed. As predicted, our study shows comparable priming effects between the human and human-like avatar suggesting that participants attributed human-like agency to the human-like avatar. Indeed, when interacting with the computer-like avatar, the priming effect was significantly decreased. This suggests that when interacting with a human-like avatar, sentence processing is comparable to interacting with a human partner. Our study therefore shows that VR is a valid platform for conducting language research and studying dialogue interactions in an ecologically valid manner.
jmbReview Lactobacillus brevis G 101 Inhibits the Absorption of Monosodium Glutamate in Mice

Monosodium glutamate (MSG), a common flavor enhancer frequently used in various canned and Chinese restaurant foods [9, 12, 18], has been claimed to have various side effects, including headache and dizziness [11, 13, 19]. A double-blind, placebo-controlled, randomized study has confirmed that MSG usage may be related to these various symptoms [13]. Oral administration of MSG to humans induces mechanical sensitization in the masseter muscle and adverse effects such as headache and short-lasting blood pressure elevation for which tolerance did not develop over 5 days of MSG intake [14]. Lactic acid bacteria (LAB) are a heterogeneous group of gram-positive facultative anaerobic microorganisms that produce large amounts of lactic acid [7]. LAB are found in yogurt, cheese, kimchi, and intestinal microbiota [1, 6]. LAB are safe microorganisms that improve disturbances of the indigenous microbiota [1, 10], have antidiabetic [15], and anticolitic effects [1], inhibit carcinogenesis [10], and induce nonspecific activation of the host’s immune system [9]. Some LAB, such as Lactobacillus buchneri, convert MSG to gamma-aminobutyric acid (GABA) via the decarboxylation of glutamic acid by glutamate decarboxylase, which is a pyridoxal phosphate-dependent enzyme [3, 16]. GABA has been reported to possess various physiological functions, such as neurotransmission, tranquilization, antihypertension, prevention of diabetic conditions, and diuretic effects [2]. Therefore, LAB have been used as starters to produce GABA-rich foods. However, studies on the ability of LAB to reduce the absorption of orally administered MSG into the blood have not been performed. Therefore, we isolated Lactobacillus brevis G-101, which exhibits anticolitic effect in mice [4], potently converting MSG to GABA, from kimchi-derived LAB and investigated whether G-101 could reduce the blood concentration of MSG in mice orally administered MSG. Fifty LAB were isolated from kimchi and anaerobically cultured in MRS containing 5% MSG (St Louis, MO, USA) at 30oC for 24 h: 25 Lactobacillus sakei strains, 8 Leuconostoc mesenteroides strains, 12 Lactobacillus plantarum strains, 2 Lactobacillus curvatus strains, 2 Lactobacillus brevis strains, and 1 Lactobacillus pentosus strain. The culture broth was centrifuged at 1,500 ×g for 15 min, and the supernatant was analyzed for determination of GABA by thin-layer chromatography (TLC). The isolated GABA-producing strain was identified by morphological observations under a microscope, by Gram staining, from its biochemical Received: February 27, 2014 Revised: July 17, 2014 Accepted: July 17, 2014
Flood zoning of Chalus basin using hydrologic model of HEC-RAS and Geographic Information System

In this study combination of GIS and HEC-RAS were used for flood zoning in the Chalus basin. For this purpose GIS data processing was done and the coordinate system was defined for the data and then the boundaries of the basin and sub-basin were determined with archydro. Using the extracted data TIN, DEM, mean slop and dip direction of rivers maps were produced and then using HECGEORAS, the data required for HEC-RAS software were prepared. Then the manning coefficient values, soil hydrologic groups and distribution maps of CN were extracted from land-use map and subsequently data transferred to the HEC-RAS and the values of manning in each of the cross sections were entered and boundary conditions were defined. Then HEC-RAS model was run in steady-state conditions. By overlaying different layers in GIS (such as the depth and velocity), dangerous areas during the flood were determined. Then the overlapping land-use map and velocity and depth layers, the land-use types at risk from flooding have been identified. Results presented that the floodplain area is equal to 8 and 24 percentage (Min. and Max). Most of the floodplain consists of rice land, building blocks, orchards, meadows and forests in the 2-year flood; therefore maximum damage happens for farmers and residences. By increasing the return period flood, the area of forest (that is placed within the floodplain) increases with higher ratio than building blocks, rice fields and pastures.
Simple recurrent neural networks for the numerical solutions of ODEs with Dirichlet boundary conditions

Bu calismada, basit tekrarlayan yapay sinir aglari (RNN’ler) kullanilarak numerik cozumlerin elde edilmesine yonelik sureci genel olarak aciklamak adina, Adi Diferansiyel Denklemler (ODE) icin Dirichlet Sinir Deger Problemleri (DBVP) ele alinmistir. Yapay sinir aginda dogrusal ve dogrusal olmayan turlerde cesitli aktivasyon fonksiyonlari kullanilmistir. Ag, Parcacik Suru Optimizasyonu (PSO) yontemiyle egitilmistir ve agin keyfi parametrelerinin ayarlanabilmesi icin carpaz dogrulama yaklasimi kullanilmistir. Problemin cozumunde RNN kullaniminin etkinligini belirlemek icin, gercek cozumler ile aktivasyon fonksiyonunun turune bagli olarak elde edilen sinir agi cozumleri karsilastirilmistir. Tum durumlarda gercek cozumler ile RNN’den elde edilen sonuclar, mutlak hatalar, ortalama karesel hatalarin ortalamasi ve standart sapma baglaminda karsilastirilmistir.
In Pursuit Of Quality Education For Innovation And Entrepreneurship : A Think Piece ( Conference ID : CFP / 244 / 2017 )

During the last quarter of the 20 th century, major and complex transformations took place in the world in all spheres of social life. These transformations were due, in part, to scientific and technological innovations which radically altered productive processes, and changed the organization and information of societies, making technical change and scientific knowledge increasingly decisive and determinant for the socio-economic development of countries. In this context, wealth and well-being depend more on technical and scientific knowledge than on natural resources. ’We cannot afford to rely on our natural resources’ comparative advantages in an increasingly competitive global markets and in the face of perennial food deficits and persisting poverty’(Kojo Asiedu, 2010). The advances and innovations that have taken place in productive processes place human beings at the centre of development because these transformations “are caused, before all else, by the ability of human beings to dominate and organize the environment around their needs”. In this and other respects, education and strategies for building human resources and human capital as well as social capabilities become indispensable. Nations and organizations including universities, research and development centres, and other relevant institutions must continually innovate new products and services if they want to compete successfully. The paper notes that innovation is a key characteristic of entrepreneurial ventures. Indeed, innovation is what makes the entrepreneurial venture “entrepreneurial”. The quality and motivation of a country’s trained, knowledgeable HUMAN RESOURCES are of immense importance to any national system of innovation. In other words, this implies “investing in people, both women and men, boys and girls, as the productive and creative core of the economy” . Quality education for innovation and entrepreneurship requires adjustment or modernization of African higher education especially, the universities for competitiveness. This paper attempts to contribute to such a critical issue by suggesting a framework for adjusting/modernizing higher education in Africa in the twenty-first century. The paper discusses Schumpeter’s theory of innovation, the process of innovation and its determinants, and their relevance to competition. The paper advocates that, if Africa is to be relevant in the 21 st century and be master of its own destiny, the continent must understand the dialectics of institution building , particularly in science and technology, and the roles of such institutions in national development agenda. The paper as part of its conclusion, also argues why public policy to support entrepreneurship in Africa will have to take new directions on a number of fronts, including placing a premium on visionary leadership and a priority on the recognition and effective utilization of the talents, abilities and the creativity of its citizens. The International Journal of Multi-Disciplinary Research
EVALUATION OF SOME DEVELOPED HIGH YIELDING RICE GENOTYPES RESISTANT TO BLAST, BAKANAE AND WHITE TIP NEMATODE

Rice diseases is the most destructive biotic constrains for high yield potential and cause breakdown of resistance. The objective of this investigation is to evaluate and screen some developed elite resistant rice genotypes for blast, bakanae and white tip nematode diseases with high yielding potentiality. Eighteen commercial and promising rice genotypes i.e., six varieties and 12 promising lines were evaluated for their agronomic traits, yield and resistance to various diseases under natural and artificial inoculation at experimental farm of Sakha Agricultural Research Station, Kafr El-Sheikh, Egypt during 2014 and 2015 seasons. Among studied traits, No. of filled grains panicle-1 exhibited the highest estimates of genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV), followed by No. of panicles plant-1. Broad sense heritability values were high for all studied traits and ranged from 91.06 % to 99.05 %. The promising lines SP70-6-4 and SP70-6-1 produced the highest grain yield with 11.73 and 11.72 t ha-1 compared with its respective parent Sakha 101 (10.63 t ha-1). The result of principal component analysis (PCA) showed that most important traits in divergence of evaluated genotypes were; filled grains panicle-1 and showed the contribution of these parents Giza 178, GZ 6296, super rice varieties IR 66298, IR 65600. IR 66159 as good donors for improving filled grains panicle-1. All the studied genotypes had wide range of genetic variability, therefore they provided broad spectrum of blast resistance levels. The three developed lines; GG-46-2006, GG-42-1 and GG-42-2 were highly resistant to blast. The super rice genotypes; IR 66298, IR 65600, IR 66159 and HR 5824 and the elite developed lines; GZ 5310 and BY 6-20 could be considered as promising donors to bakanae resistance. For white tip nematode, the derived lines from Giza 177 crossed to HR 5824 dropped the No. of nematodes per 10 g rice grains from 153.67 individual larvae to 0 and 1.67. The line BY 6-20 reduced the No. of nematodes to 4.33 comparing with 106 larvae of its parent Sakha 101. The highly resistant genotypes Giza 178, GZ 6296 and their derived lines recorded the lowest no. of nematodes ranged from 0.67 to 12.33. Giza 178, GZ 6296 and their derived line BY 6-20 were considered as good donors for white tip nematode resistance. The breeder successfully improved elite varieties; SP70-6-1, BY 6-20, Giza 178-1 and GG-46-2006, with wide spectrum of resistance level to blast, bakanae and white tip nematode. Giza 178 and GZ 6296 were considered as good donors of all tested diseases in breeding program.
SPECIFICATION OF ENTERIC NEURON SUBTYPES IN THE DEVELOPING GUT THESIS FOR DOCTORAL DEGREE ( Ph . D . )

The enteric nervous system (ENS) is the biggest subdivision of the peripheral nervous system and harbors more neurons than the spinal cord. Its intricate network of ganglia is spanning the entire length of the gastrointestinal wall from where it controls peristalsis, secretion and blood flow. The ENS is able to comply with these functions due to its organization into a full reflex arc. In the adult ENS different subtypes of neurons are defined according to their morphology, electrophysiology, neurotransmitter expression and function. Yet, discrimination of subtypes according to marker gene expression is not reliable as different neurotransmitters are employed by several classes of neurons, and their expressions are not always conserved between species. Developmentally, the ENS arises from the neural crest, a transient cell population that gives rise to numerous cell types throughout the whole body. Neural crest cells find their way into the developing foregut from where they migrate, proliferate and colonize the complete length of the gut. In certain ENS disorders, though, neural crest cells fail to colonize the whole gut leading to a complete absence of neurons in parts of the colon. In other enteric disorders specific enteric neuron subtypes are lost or dysregulated. The initial progression of neural crest migration and colonization as well as general aspects of neurogenesis and neuronal differentiation are well understood. How different enteric neuron subtypes are specified during development is, however, not resolved. This PhD thesis aspires to reduce this gap of knowledge. In paper I we demonstrate that the transcription factor Ascl1 is needed for general neurogenesis and gliogenesis in addition to regulating CALB1, TH and VIP neuron subtype specification in the developing ENS. In paper II we identified a vast array of transcription and signaling regulators expressed in the developing mouse and human ENS. We further show that the transcription factor Sox6 is indispensable for the development of gastric dopaminergic neurons and normal gastric motility. In paper III we used high-throughput sequencing approaches to redefine the classification of small intestine myenteric plexus neurons. We established lineage trajectories for the identified enteric neuron classes during embryonic development and demonstrate the transcriptional regulation of subtype conversion from NOS1+ ENC2 neurons to CALB1+ ENC6 neurons via expression of Pbx3. Taken together, the data collected in this thesis describe new regulatory mechanisms governing subtype specification in the developing ENS. This knowledge might help in future endeavors for finding molecular mechanisms in enteric neuropathies in which specific subtypes of enteric neurons are affected. Moreover, it will hopefully guide new cell-based regenerative approaches towards the generation of specific enteric neurons in vitro and in vivo.