Miracle-dz/UniFAR-FTUs huggingface dataset:
Population structure and biomass partitioning in four congeneric species of Moghania under different disturbance regime in sal forests of Gorakhpur, India

The woody perennials of four species of genus Moghania (M. chappar) (Benth.) Kuntze, M. bracteata (Roxb.) L. , M. lineata (L.) Ktze. and M. prostrata Roxb. ) contribute significantly to the understorey vegetation cover of sal dominated forests of Gorakhpur division. The main objectives were to determine the effects of disturbance on different Moghania spp. with reference to its genet and sprout/ ramet population and its biomass allocation pattern into different compartments. Genet density of Moghania spp. decreases with increasing the level of disturbances, while ramets were highest at moderate disturbance. M. chappar was the most dominant in all the sal forests. M. lineata showed better growth at high disturbance while M. chappar and M. bracteata commonly occurred at low to moderate disturbance. M. prostrata was very sensitive to disturbance and occurred at stands facing low disturbance. At moderate disturbance, the population structure of different Moghania species showed the dominance of young plants but the age pyramid showed normal or stable population structure. The total as well as above ground biomass showed significant difference (P<0.01) among the species and disturbance level as evident from Ftest. At high disturbance, the mean biomass allocation towards different compartments of Moghania spp. was significantly different and the total biomass was positively correlated to canopy cover at low as well as moderate disturbance. The ratio of shoot and root biomass ranged from 1.67 to 2.80 for M. chappar, M. bracteata and M. lineata at moderate disturbance. Irrespective of disturbance level, this ratio for M. prostrata remained close to 1. There was significant positive correlation (< 0.01) between number of shoots with shoot biomass and with root biomass for M. chappar at three disturbance level. The species of Moghania, especially M. chappar have considerable high potential of the production of nontimber wood in stochastic environment and can cope-up well with moderate disturbance. They can provide good understorey cover even in presence of considerable disturbance and thus can add to the maintenance of ecosystem attributes of the disturbed forests.
Does Ownership Structure Influence Firm Value? An Empirical Research towards the Bucharest Stock Exchange Listed Companies

The aim of this study is to research the influence of ownership structure on firm value in order to provide, from our knowledge, the first results for the case of the Bucharest stock exchange listed companies. Therefore, we have considered the shareholdings of the following types of shareholders: insiders, companies from financial intermediation sector, state, and employees’ organizations, over the period 2007-2011. Thus, after the econometric estimations using panel data regression models, we have concluded a negative influence of insider shareholdings and employees’ organizations ownership on firm value. However, the results showed a lack of association between state shareholdings and firm value. There resulted a nonlinear relationship between the shareholdings of the companies from financial intermediation sector and firm value. Furthermore, the impact of ownership structure, 1 year lagged, on contemporaneous firm value was the same, although the magnitude of the influence was higher.
Removal of the synthetic dye Remazol Brilliant Blue R from textile industry wastewaters by biosorption on the macrophyte Salvinia natans

Batch experiments were carried out for biosorption of Remazol Brilliant Blue R dye onto the macrophyte Salvinia natans. Effects of parameters such as initial dye concentration, pH, biosorbent dosage, contact time and temperature were investigated. Chemical and morphological characteristics of the biosorbent were evaluated before and after the biosorption process using methods such as Optical Microscopy (OM), Scanning Electron Microscopy (SEM), Thermogravimetric Analysis (TA), Differential Scanning Calorimetry (DSC) and Infrared Spectroscopy (FT-IR). Sorption kinetics were conducted and followed a pseudo-second order kinetic model. Equilibrium data were well represented by the Langmuir model. Salvinia natans exhibited a maximum uptake of 61.9 mg.g-1. The Dubinin-Radushkevich model indicated that the adsorption takes place by a physical process. Thermodynamic parameters were estimated. The negative values of the Gibbs energy indicated the spontaneous nature of the adsorption. The entropy was positive and the positive value of the enthalpy showed that the process is endothermic.
Leading for Innovative Practice: Melding Theories of Organizational Change, Adult Learning, and Conditions of Learning

We live in an era of unique challenges requiring us to face a new reality mired in information overload for the 21st Century. This new reality emphasizes the critical need for educational leaders who can think and act systemically rather than bureaucratically. The bureaucratic model inherited from the Industrial Era still prevails in many educational organizations, and consequently the leader’s role is defined by the structure and function of this model. Deviation from the bureaucratic model requires leaders who are systems thinkers and who can effectuate necessary sustainable change and innovative practice within this model. In this article we discuss (a) the concept of systems thinking to promote organizational change within a bureaucratic model, (b) the role of adult learning theory in the process of change, and (c) the use of Cambourne’s Conditions of Learning (1988) as one model for developing the personal reflection that may lead to achieving sustainable change within the system.
Temporal variability in large grazer space use in an experimental landscape

Citation: Raynor, E. J., Joern, A. , Skibbe, A. , Sowers, M. , Briggs, J. M. , Laws, A. N. , & Goodin, D. (2017). Temporal variability in large grazer space use in an experimental landscape. Ecosphere, 8(1), 18. doi:10.1002/ecs2.1674
Using Mindtools in Literature Reviews.

This paper will describe the use of developed resources for doctoral students taking a literature review class (DOC722) at the University of Phoenix. The paper offers a description of several Mindtools along with their educational advantages for research projects. Today's graduate students are challenged to identify and interpret relevant research materials in the midst of vast amounts of information that is available through the Internet and digital libraries. Mindtools enable individuals to develop research narratives that reflect intellectual depth and a clear understanding of the literature.
GENETIC AND ENVIRONMENTAL FACTORS INFLUENCING PERSISTENCY OF MILK PRODUCTION IN KARAN FRIES CATTLE

A total of 618 lactational milk yield records of first four parities at weekly interval from 1990 to 2001 (12 years) were collected for 284 Karan Fries cows sired by 53 bulls maintained at Dairy Cattle Breeding Division, NDRI, Karnal. The persistency indices were estimated by five different measures viz. Johansson and Hanson method (P1 and P2), Mahadevan method (P3), Ratio method (P4) and Prasad method (P-5). The overall least square means for P1, P2, P3, P4 and P5 were 87.34±1.27, 52.80±1.16, 1.46±0.02, 204.03±1.56 and 0.68±0.00 respectively. The first calvers had the highest persistency of lactation across all the methods followed by second calvers. The rainy calvers were most persistent whereas the winter calvers were least persistent. The correlation between peak yield and lactation milk yield (0.610) was positive and highly significant. There was significant and negative correlation of peak yield with all the persistency indices across all the four parities. In general, the heritability estimates were very low (0.01 to 0.17) with high standard errors. Johansson and Hanson's measures of persistency (P1 and P2) were found to be more reliable with values of their repeatability being 0.190 and 0.200 respectively. The lactational milk yield was predicted with around 62% accuracy using the peak yield as a predictor.
CHLOROPHYLL FLUORESCENCE INTENSITY, PHOTOSYNTHETIC YIELD AND FLOWERING IN FIG FRUIT TREES AS AFFECTED BY PHLOEM STRESS

HOSSAIN, A. B. M. S. , A. SALLEH, M. A. MEKHLED and A. M. Al-SAIF, 2010. Chlorophyll fluorescence intensity, photosynthetic yield and flowering in fig fruit trees as affected by phloem stress. Bulg. J. Agric. Sci., 16: 547-552 Chlorophyll fluorescence intensity, photosynthetic yield in leaves and flowering of fig trees (Ficus carica L.) as affected by phloemic stress (represented by partial bark ring) were studied. The treatments were un-ringed, Ishape partial ring (I-SPR), X-shape partial ring (X-SPR) and S-shape partial ring (S-SPR). The greater bark thickness (width) was found in I SPR treated branch than other treated branches. Branch circumference of all three types of treatment showed higher value in upper ring than in lower ring. The maximum SPAD value was observed in control branch earlier after treatment whereas the maximum value was found in S-SPR treated branch later. Besides, the percent flower bud and fruit set were greater in S-SPR treated trees than other treated branches. The flower bud and fruit set were higher in treated branches than in control. Chlorophyll fluorescence intensity was found similar upward trends with some fluctuations in case of all treatments. The intensity was higher in control and I-SPR treated branches than in other treatments. Fo (lower fluorescence), Fm (higher fluorescence), Fp (Intermediate fluorescence) were highest in leaves of control, I-SPR and X-SPR treated branches. However, X-SPR treatment represented the maximum optimum quantum yield [(Photosynthetic yield (Fv/Fm)]. Resulting, the study represents that phloemic stress (I-SPR, X- SPR & S-SPR), can be applied for the dwarfing physiological growth and early flowering of fig tree and the most effective one was S-SPR.
Polymorph-Selective Deposition of High Purity SnS Thin Films from a Single Source Precursor

Metal chalcogenide thin films have a wide variety of applications and potential uses. Tin(II) sulfide is one such material which presents a significant challenge with the need for high quality SnS, free of oxide materials (e.g., SnO2) and higher tin sulfides (e.g., Sn2S3 and SnS2). This problem is compounded further when the target material exhibits a number of polymorphic forms with different optoelectronic properties. Unlike conventional chemical vapor deposition (CVD) and atomic layer deposition (ALD), which rely heavily on having precursors that are volatile, stable, and reactive, the use of aerosol assisted CVD (AA-CVD) negates the need for volatile precursors. We report here, for the first time, the novel and structurally characterized single source precursor (1), (dimethylamido)(N-phenyl-N′,N′-dimethylthiouriate)tin(II) dimer, and its application in the deposition, by AA-CVD, of phase-pure films of SnS. A mechanism for the oxidatively controlled formation of SnS from precursor 1 is also reported. S.
Digital divide and the role of interactive digital television

Since its beginning, the interactive Digital Television (iDTV) in Brazil has been anticipated by specialists as a viable andimportant tool to reduce the digital divide. Nevertheless, few studies have examined to what extent it may be really effectiveamong low-income families so far. This paper analyzes the role of iDTV as an instrument to decrease the digital divide. Thisassessment was carried out through a survey with a sample of 67 families, selected among a group of 100 families whoparticipated of a pilot experiment, in the city of Joao Pessoa, located in the Northeastern region of Brazil. The projectincluded four iTVD applications that offered government services and were specially designed, using Ginga middleware, topromote to digital and social inclusion. The survey was composed by a questionnaire containing 102 questions, most of themof closed-ended type. In order to understand iDTV impact in the digital divide decrease, five analytical criteria with respect touser’s viewpoint were considered: motivation; correct understanding; friendly use de interfaces; usefulness of theinformation; and applicability of the knowledge. DOI: 10.15213/redes.n9. p271
Maladaptive Schemas and Affective Control in Students with Learning Disability: Benefits of Mindfulness-Based Cognitive Therapy

Objectives: This study intended to examine the effectiveness of mindfulness-based cognitive therapy on moderating maladaptive schemas and affective control in students suffering from learning disabilities. Methods: This experimental research was conducted using pretest-posttest and a control group. The population included all the female students who were studying in the Koohdasht's middle schools (academic year: 2012-2013). The sample included 40 female students suffering from learning disabilities who had been randomly selected out of Koohdasht's middle school students after identification and a structured clinical interview and they were put into experimental and control groups (20 students each group). For data collection, Affective Control Scale and Young Schema Questionnaire were used. Results: The results of multivariate covariance analysis showed that mindfulness-based cognitive therapy has significantly decreased maladaptive schemas, depression, anxiety, and anger in subjects (p<0.001). Discussion: This finding represents important implications regarding education and mental health improvement in exceptional students. Therefore, it is recommended to use this therapeutic package in schools and clinics as a supplement to other therapies in order to decrease negative emotions and to prevent formation of maladaptive schemas in these students.
A Multi-Plant Process Planning Model for Products with Multiple Sets of Features in a Collaborative Manufacturing System

In a feature-based representation model, a set of features can be used in both design representation and process planning to integrate design and manufacturing. Process planning activities such as generation of machining tool path, planning of machining operations, sequencing of machining operations, and selection of machining machines can be executed using a feature-based approach. In a typical process planning scheme, the machining operations for producing a product are planned and arranged to be performed in a single manufacturing plant. However, in a multi-plant collaborative manufacturing environment in a global supply chain, a product can be designed and manufactured at different plants at multiple locations. In this research, a feature-based multi-plant process planning model is presented. A feature represents a machined volume that needs to be removed by certain machining operations to produce a portion of the product. A set of sequenced features represents a machining sequence for producing the part. A mathemati cal model is formulated to evaluate all the feasible machining sequences. The objective attempts to find the optimized multi-plant machining sequence with an aim of the minimizing the total manufacturing operation cost. As a result, the multiple machining sequences can be evaluated and the machining operations are assigned to the most suitable plants in a multi-plant collaborative manufacturing system.
Frequency Analyses of Postural Sway during Prolonged Sitting on a Large Gymnastics Ball and Stool

Selected schools in Slovenia have launched an initiative to replace school chairs with large gymnastics balls (LGBs) in order to improve children’s posture. The rational given was that LGB saffect posture in a way that is beneficial to the body because they mimic the frequencies of body movement during walking. To identify the influence of seating furniture on the frequency of postural sway, the postural dynamics of eight school children were studied. A comparison was made of their posture while they were sitting on a stool and on a LGB, each for 30 minutes. The lumbar lordosis (LL) and pelvicinclination (PI) angles were both studied. They were measured from the sagittal plane with a video measurement system (3 fps). From the time pattern of each angle, calculations were made to determine the frequency spectrum median and distribution of power in frequency spectra at four intervals: 1) 0.01–0.05 s−1, 2) 0.05–0.1 s−1, 3) 0.1–0.33 s−1, and 4) 0.33–0.6 s−1. It was determined that the median for LL is at a higher frequency on a LGB (LGB = 0.17 s−1 0.03 s−1, stool = 0.14 s−1 0.03 s−1, p < 0.05), but no differences were found in PI. Sitting on a LGB had more power in the third interval with a typical sway period of 5 s (p < 0.05), whereas sitting on as tool had more power in the first interval with a typical sway period of 33 s (p < 0.05). Sitting on a LGB influences the upper body dynamics and promotes a sitting posture with a period of sway that is closer to the sway pattern experienced during walking as compared to sitting on a stool.
Efficient Radio Map Construction Based on Low-Rank Approximation for Indoor Positioning

Fingerprint-based positioning in a wireless local area network (WLAN) environment has received much attention recently. One key issue for the positioning method is the radio map construction, which generally requires significant effort to collect enough measurements of received signal strength (RSS). Based on the observation that RSSs have high spatial correlation, we propose an efficient radio map construction method based on low-rank approximation. Different from the conventional interpolation methods, the proposed method represents the distribution of RSSs as a low-rank matrix and constructs the dense radio map from relative sparse measurements by a revised low-rank matrix completion method. To evaluate the proposed method, both simulation tests and field experiments have been conducted. The experimental results indicate that the proposed method can reduce the RSS measurements evidently. Moreover, using the constructed radio maps for positioning, the positioning accuracy is also improved.
Ethics in eLearning

We tend to think of net business in terms of commercial companies—the production and exchange of goods, but education is also a growing net enterprise. In the United States, for instance, online education or distance learning is the fastest growing sector of the higher education industry. All of the ethical dilemmas that net businesses must face are also faced by online educational programs with one major addition—the quality of the learning outcomes. There is currently a dearth of research on the quality of learning outcomes in web-based education and this represents a significant challenge for educational institutions. Introduction We tend to think of net business in terms of commercial companies—the production and exchange of goods over the Internet, but education is also a growing net enterprise. In the United States, for instance, online education or eLearning is the fastest growing sector of the higher education industry. All of the ethical dilemmas that net businesses must face are also faced by online educational programs with at least two major additions: First, the eLearning provider is faced with a host of moral challenges related to the quality of the learning outcomes; and second, the eLearning consumer faces a variety of moral challenges related to engaging in the learning process. Two examples will help to frame these two constellations of ethical issues that are relatively unique to the eLearning enterprise: The first example comes from an e-mail message received some months ago from one of the larger for-profit organizations offering on-line degree programs. The e- mail was dynamic, colorful and carried this banner headline: "You may already have a degree and not know it. " Without belaboring the point, the obvious question that arises from this message is, "How much genuine learning takes place in the process of earning a degree that you did not know you have? " This example highlights a broad variety of moral issues related to the quality of eLearning offerings and the effectiveness of eLearning outcomes. Another example focuses on moral issues for the eLearning consumer: The most recent National Survey of Student Engagement indicates that as high as 59% of U.S. students involved in eLearning programs admit to some sort of academic fraud either "very often (27%) or "often" (32%) (NSSE, 2007). This is the primary concern of faculty teaching at a distance—that the eLearning student doing the work is indeed the student enrolled and that the student is not misrepresenting his or her work. Admittedly, today's college students have been raised in an era of decline in public
RESOURCE UTILIZATION BEHAVIOUR OF CASSAVA PRODUCERS IN EPE AREA OF LAGOS STATE: STOCHASTIC FRONTIER PRODUCTION FUNCTION APPROACH

The Stochastic frontier production function was used to assess the technical efficiency of cassava production in Epe Area of Lagos State, Nigeria. Results show that cassava farmers in the study area experienced increasing positive return-to-scale (2.2675. The study also reveals that a significant relationship exists between farm size, labour, planting materials, cost of other input and cassava output in the study area. Cassava farmers with large farmers are found to have higher net farm income per hectare than small holder farms in the study area. The study points to the fact that cassava farmers in the study area were not efficient in allocating their resources considering their scope of operation.
Comparative Analysis in Content Based Image Retrieval System Using Color and Texture

Searching digital images from a large database ca n be solved by the Content Based Image Retrieval System based on the extraction of features such as color, texture and shape of the image. CBIR is the most ef ficient image retrieval method. Most of techniques for CBIR use n umerical representations called feature vectors to allow contentbased searching in large image collections. Analyzi ng images based on the colors is one of the most wi dely used techniques since the color does not depend on image size or orientation. Texture analysis is mainly us ed to identify the image given by the shape, size, brightness etc. The proposed method uses image features such as color and texture to retrieve the images from database. In ad dition, it uses auto color correlogram for identify ing images based on the feature and Spatial texture for identifying images based on the texture. Moreover, this system has operated on a Corel database containing 1000 general-use color images. The study shows that the performance and accuracy of retrieving images in the large database.
What Principles of Multimedia Learning Do Language Instructional Designers Need to Know

One of the trends in educational technology is multimedia. Instructional material designers or developers often ignore the principles of learning with multimedia in the creation of learning materials. Therefore, the aim of the given paper is to discuss the principles of multimedia learning material design to help students learn better. This includes Dual Coding Theory (DTC), Cognitive Load Theory (CLT), and Mayer‘s principles of multimedia design.