Miracle-dz/UniFAR-FTUs huggingface dataset:
A development of the solar position tracker on the program method for the small typed stand-alone PV system

In this paper, I used to microprocessor and sensor and designed to improve the efficiency of the photovoltaic system the photovoltaic position tracker device, and compared the normal photovoltaic system of fixed form with the photovoltaic system of solar position tracked form. Moreover, compared the catalogue of solar cell module and the simulation through a mathematics modeling with the solar cellpsilas characteristic interpreting and, composed an power conversion system with boost converter and voltage source inverter. Used the constant voltage control method for maximum power point tracking in boost converter control and, used the SPWM(Sinusoidal Pulse Width Modulation) control method in inverter control. The result was less then 5% when compared the catalogue of solar cell module and the simulation through a mathematics modeling.
Duration of Syndication Process and Syndicate Organization

What is the influence of syndicate organization on the duration of a loan syndication process? We answer this question using the survival analysis methodology on a sample of loans to borrowers from 59 countries. We find that syndicate size, concentration, experience, reputation, and national diversity clearly matters for the duration of a syndication process and therefore for borrower satisfaction regarding the speed of obtaining the necessary funding. A syndicate organization adapted to specific agency problems of syndication, with numerous, reputable, and experienced arrangers retaining a larger portion of the loan reduces the duration. The latter is also shorter when more lenders come from the same country as the borrower. These effects are more pronounced when the borrower has a low reputation on the syndicated lending market and when his opacity is stronger.
An Archival Analysis of the Usage of Emergent Information Technologies among Business Occupations

Considerable research investigates information technology (IT) adoption at the individual or organizational level. However, scholars have noted the potential observer and recall biases and the disconnection between individual and organizational IT adoption research. Based on Innovation Diffusion Theory, this study analyzes an existing archival dataset, O*NET, to explore the relationships between occupational characteristics (e.g. adaptability, gender composition, analytical thinking) and the adoption of emergent information technologies (EIT). Correlation test results based on 69 business occupations suggest that the socioeconomic status and occupational values of a profession are generally associated with its usage of EIT. Nevertheless, this research shows mixed associations between IT adoption and occupational communication behavior. In addition, we find that professionalism and the working activities might play a moderating role in IT adoption by occupations. Those results help triangulate previous explorations of organizational and individual IT adoption and yield implications for further investigations. Keyword: Innovation Diffusion; Occupational Characteristics; Information Technologies
Piecewise recognition of bone skeleton profiles via an iterative Hough transform approach without re-voting

Many bone shapes in the human skeleton are characterized by profiles that can be associated to equations of algebraic curves. Fixing the parameters in the curve equation, by means of a classical pattern recognition procedure like the Hough transform technique, it is then possible to associate an equation to a specific bone profile. However, most skeleton districts are more accurately described by piecewise defined curves. This paper utilizes an iterative approach of the Hough transform without re-voting, to provide an efficient procedure for describing the profile of a bone in the human skeleton as a collection of different but continuously attached curves.
A history of research on yeasts 14:1 medical yeasts part 2, Cryptococcus neoformans

1 Previous articles in this series: [10–20,22,23,83]. 2 Edouard Drouhet (1919–2000), Romanian-French medical mycologist, born in Romania but of French descent, joined the Institut Pasteur in 1954, becoming director of its Unité de Mycologie in 1981. From 1990, he was chief editor of the Journal de Mycologie Médicale [226]. The present writer found him to be exceptionally charming, kindly and helpful. 3 In 1952 Lodder and Kreger-van Rij listed 39 synonyms of Cryptococcus neoformans [151, p. 374], most of which are listed in Table 1.
Boosting the MOSFETs matching by using diamond layout style

This paper performs an experimental comparative study of the Metal-Oxide-Semiconductor Silicon-On-Insulator (SOI) Field Effect Transistors (MOSFETs) matching, which are implemented with the hexagonal gate geometry (Diamond) and classical rectangular one. Some of the main analog parameters of 360 devices are investigated. The results demonstrate that the Diamond SOI MOSFETs with α angles equal to 53.1° and 90° are capable of boosting in more than 20% the devices matching in comparison to those observed in the typical rectangular SOI MOSFETs, regarding the same gate area and bias conditions. Therefore, the Diamond layout style is an alternative technique to reduce the MOSFETs' mismatching regarding the analog SOI CMOS ICs applications.
Association of zinc deficiency and depression in the patients with end-stage renal disease on hemodialysis.

INTRODUCTION Depression is a common psychological symptom in patients undergoing chronic hemodialysis. In the general population, low serum zinc level is associated with major depression. The current study surveys the possible relationship between the prevalence of depression and plasma level of zinc in patients on hemodialysis (HD). PATIENTS AND METHODS A total of 135 patients with end-stage renal disease (ESRD) on HD were enrolled in the study. The severity of depression was assessed using Beck Depression Inventory (BDI). Plasma zinc level was measured from fasting samples. RESULTS Mean age of the patients was 52.45 (standard deviation: 15.33) years. In all, 76% of the patients had some degree of depression according to BDI scoring system (BDI >14). The mean level of plasma zinc in the depressed patients was significantly lower than the rest of the patients (67.46 ± 29.7 vs. 85.26 + 40.05). DISCUSSION Zinc deficiency may be a reversible cause which might contribute to the increased rate of depression in HD patients. This is the first study reporting the association of zinc deficiency with the presence of depression in HD patients; therefore, these findings need further investigations.
Corporate Investment and Asset Price Dynamics: Implications for Post-SEO Performance

Empirical methods in corporate finance for some time focused on the short-term market reaction to corporate announcements. The associated theories rely heavily on market imperfections such as taxes, transaction costs, information issues and contracting problems to obtain short-term market reactions in a rational setting. A critical assumption in these environments is that managers are concerned with long-run or intrinsic market value. A more recent empirical literature explicitly examines the long-run performance of firms. If short-term reactions to an announcement reflect favorable information about the long-run, then this should be evident in long-term accounting performance. Long-run market returns, on the other hand, should not be abnormal. These predictions are often inconsistent with what has been found in the data, especially with regard to equity issuance. Loughran and Ritter (1995) and others find a 70% average price appreciation in the year prior to the announcement of an issue followed by a return of only 5% per year for five years after the issue. This is well below the returns on seemingly comparable firms. These empirical results about long-run performance exist in a theoretical vacuum. Corporate theory based on information transmission can give announcement effects, but has little to say about long-run returns (other than that they should not be abnormal). One recent conjecture that has gained a substantial following is the market timing or window of opportunity hypothesis. According to this conjecture, the market occasionally becomes unrealistically optimistic about the firmâ€™s prospects, as reflected, for instance, in the 70% run up in price prior to issuance. Managers realize that the market is overly optimistic and take advantage of this window of opportunity by issuing securities at inflated prices. The poor accounting performance and low returns subsequent to the issue provides evidence that the market was overly optimistic. The purpose of our paper is to show how recent advances in dynamic asset pricing can deliver a rational theory of SEO underperformance. We develop a simple model of corporate investment that is capable of explaining the observed pattern of returns around equity issuance. We conclude that it is not the issuance of securities that is important, but the investment of the funds in real assets that drives security returns. The observed return pattern surrounding equity issues is consistent with the theoretically derived, dynamic, endogenously determined risk of the firm. We use firm level data to develop additional tests of the theory.
Time Series Momentum and Volatility States

Time series momentum returns are driven by volatility states. Controlling for standard risk factors, assets in a low volatility state produce positive and significant time series alphas, whereas high volatility state assets do not. Contrary to what is known about cross-sectional momentum, and to what behavioral models imply, time series momentum is most profitable in futures characterized by declining or low risk levels.
Lifetime Tests and Junction-Temperature Measurement of InGaN Light-Emitting Diodes Using Patterned Sapphire Substrates

The authors demonstrate nitride-based blue light-emitting diodes with an InGaN/GaN (460 nm) multiple quantum-well structure on the patterned sapphire substrates (PSSs) compared with conventional sapphire substrates (CSSs) using metal-organic chemical vapor deposition. According to full-width at half-maximum of high-resolution X-ray diffraction and transmission electron microscopy micrographs, the dislocation density of GaN epilayers grown on the PSS was lower than those of the CSS. It was found that the output power of devices on PSS was 26% larger than that of CSS. The lifetime defined by 50% loss in output power was 590 and 305 h at 85 degC for the PSS and CSS, respectively. It was also found that the junction temperature and thermal resistance were smaller for the PSS. These improvements are attributed to the reduction in dislocation density using PSS structure
Determinants of the Use of Management Control Systems in Companies Operating Under Turbulent Conditions

This paper investigates the role that management control systems (MCS) play in the performance of the organizations operating under turbulent conditions. Two sets of companies are studied as turbulent conditions: international joint ventures (JVs) in the auto and motor industry and manufacturing companies located in a regional economy of a less developed country (LDC). Two surveys gathered data of 35 JVs and 45 industries in Cordoba (Argentina) that allowed testing a contingent framework. The results are concordant with the literature that holds that MCS helps to reduce uncertainty when the factors that generate it can be affected by the managerial decisions (Galbraith, 1973; Davila, 2000). Uncertainty is reduced by an appropriate use of MCS that implies a more intense use and a use orientated to coordinate rather than to control that in turn positively affects the organizational performance. Companies operating under turbulent conditions show that the use of MCS information improves their performance and is completely independent from factors not controllable by managers. The empirical study showed a clear association between previous exposure to a factor perceived as manageably and a high intensity of use of MCS with purposes of coordination to reduce the uncertainty understood as the difference between the information available and information needed to perform the task. The major limitations of this study are the lack of literature focused on the topic, testing of an ad-hoc contingent model, the small sample sizes and the measurement of latent variables through questionnaires based on perceptions.
Multi Objective Optimization of Planetary Gear Train

Planetary Gear Trains are extensively used for the power transmission. Large reduction in a small volume is possible with planetary gear trains. High efficiency – 95% per stage is common in planetary gear trains. For the automation of car parking systems helical gear box is used. But requirements of the gear box of these kind shall be compact in size and should have high efficiency. For these reasons in this paper a three stage planetary gear train is designed and optimized using Genetic Algorithm. Two objectives functions are considered, minimization of volume and maximization of efficiency. This process helps in finding the optimized design for planetary gear train which can give the same gear ratio within less volume and high efficiency.
A new efficient validity index for fuzzy clustering

A new validity index for fuzzy clustering, which works well in the presence of overlapping clusters that differ in shape, density and orientation, is introduced. A quantitative evaluation of our new validity index in conjunction with seven well-known validity indices is given. For this purpose, we use the IRIS data set and generated truthed data sets with prescribed degrees of overlap between clusters. These truthed data sets provide a precise way to evaluate the ability of the validity indices in terms of sensitivity to cluster overlapping.
Low-Dimensional Models of the Ginzburg--Landau Equation

Low-dimensional numerical approximations for two boundary value problems of the complex Ginzburg--Landau equation in a chaotic regime are constructed. Spatial structures called principal interaction patterns are extracted from the system according to a nonlinear variational principle and used as basis functions in a Galerkin approximation. The dynamical description in terms of principal interaction patterns requires fewer modes than more conventional approaches using Fourier modes or Karhunen--Loeve modes as basis functions.
Analysis of a transgenic mouse containing simian virus 40 and v-myc sequences

Two plasmids, one containing the simian virus 40 (SV40) genome and the mouse metallothionein I gene and one containing the v-myc gene of avian myelocytomatosis virus MC29, were coinjected into mouse embryos. Of the 13 surviving mice, one, designated M13, contained both myc and SV40 sequences. This mouse developed a cranial bulge identified as a choroid plexus papilloma at 13 weeks and was subsequently sacrificed; tissue samples were taken for further analysis. Primary cell lines derived from these tissues contained both myc and SV40 DNA. No v-myc mRNA could be detected, although SV40 mRNA was present in all of the cell lines tested. T antigen also was expressed in all of the cell lines analyzed. These data suggest that SV40 expression was involved in the abnormalities of mouse M13 and was responsible for the transformed phenotype of the primary cell lines. Primary cell lines from this mouse were atypical in that the population rapidly became progressively more transformed with time in culture based on the following criteria: morphology, growth rate, and the ability to grow in soft agar and in serum-free medium. The data also suggest that factors present in the mouse regulated the ability of SV40 to oncogenically transform most cells and that in vitro culture of cells allowed them to escape those factors.
Large‐eddy simulation of subtropical cloud‐topped boundary layers: 1. A forcing framework with closed surface energy balance

Large‐eddy simulation (LES) of clouds has the potential to resolve a central question in climate dynamics, namely, how subtropical marine boundary layer (MBL) clouds respond to global warming. However, large‐scale processes need to be prescribed or represented parameterically in the limited‐area LES domains. It is important that the representation of large‐scale processes satisfies constraints such as a closed energy balance in a manner that is realizable under climate change. For example, LES with fixed sea surface temperatures usually do not close the surface energy balance, potentially leading to spurious surface fluxes and cloud responses to climate change. Here a framework of forcing LES of subtropical MBL clouds is presented that enforces a closed surface energy balance by coupling atmospheric LES to an ocean mixed layer with a sea surface temperature (SST) that depends on radiative fluxes and sensible and latent heat fluxes at the surface. A variety of subtropical MBL cloud regimes (stratocumulus, cumulus, and stratocumulus over cumulus) are simulated successfully within this framework. However, unlike in conventional frameworks with fixed SST, feedbacks between cloud cover and SST arise, which can lead to sudden transitions between cloud regimes (e.g., stratocumulus to cumulus) as forcing parameters are varied. The simulations validate this framework for studies of MBL clouds and establish its usefulness for studies of how the clouds respond to climate change.
Real Earnings Management and Governance Attributes in the Context of IPO Failure

This study examines the association between real earnings management, governance attributes, and IPO failure risk. Using a sample of 4174 IPOs firms that went public over the period of 1998-2011, we find evidence that real earnings management and governance attributes are associated with IPO failure risk. Moreover, we find that among governance attributes, board independence and board size are negatively associated with IPO failure risk. However, audit committee independence and CEO duality are not related to the probability of IPO failure risk. This study contributes to the current hot debate around IPO failure risk factors.
A MORN-repeat protein is a dynamic component of the Toxoplasma gondii cell division apparatus

Apicomplexan parasites divide and replicate through a complex process of internal budding. Daughter cells are preformed within the mother on a cytoskeletal scaffold, endowed with a set of organelles whereby in the final stages the mother disintegrates and is recycled in the emerging daughters. How the cytoskeleton and the various endomembrane systems interact in this dynamic process remains poorly understood at the molecular level. Through a random YFP fusion screen we have identified two Toxoplasma gondii proteins carrying multiple membrane occupation and recognition nexus (MORN) motifs. MORN1 is highly conserved among apicomplexans. MORN1 specifically localizes to ring structures at the apical and posterior end of the inner membrane complex and to the centrocone, a specialized nuclear structure that organizes the mitotic spindle. Time-lapse imaging of tagged MORN1 revealed that these structures are highly dynamic and appear to play a role in nuclear division and daughter cell budding. Overexpression of MORN1 resulted in severe but specific defects in nuclear segregation and daughter cell formation. We hypothesize that MORN1 functions as a linker protein between certain membrane regions and the parasite's cytoskeleton. Our initial biochemical analysis is consistent with this model. Whereas recombinant MORN1 produced in bacteria is soluble, in the parasite MORN1 was associated with the cytoskeleton after detergent extraction.
The impact of alliance ruptures on client outcome expectations in cognitive behavioral therapy

Abstract The present study examined the impact of alliance ruptures (AR) on outcome expectations among 38 individuals who received cognitive-behavioral therapy for generalized anxiety disorder. ARs had a significant adverse impact on immediate post-rupture outcome expectations compared to dyads experiencing no AR. ARs also had a far greater negative impact on outcome expectations among those who were initially skeptical about treatment. Finally, path analysis indicated that the impact of an AR on posttreatment outcome was mediated by its influence on outcome expectations. These findings suggest an important role for preventing and repairing ARs, particularly among those who initially have doubts about treatment benefit.
DL-sQUAL: A Multiple-Item Scale for Measuring Service Quality of Online Distance Learning Programs.

Education is a service with multiplicity of student interactions over time and across multiple touch points. Quality teaching needs to be supplemented by consistent quality supporting services for programs to succeed under the competitive distance learning landscape. ServQual and e-SQ scales have been proposed for measuring quality of traditional and eCommerce services. Currently there are no instruments available to measure the quality of distance learning services. With the growing demand for online education there is a need for an instrument to measure the quality of online distance learning services. This study addresses the gap by identifying the dimensions and the service quality scale (DL-sQUAL) of online distance learning programs.
Structuration Theory

The continuing paucity of effective interventions to reduce HIV/AIDS stigma is troubling, given that stigma has long been recognized as a significant barrier to HIV prevention, treatment, care, and support. Ineffectual HIV/AIDS stigma-reduction interventions are the product of inadequate conceptual frameworks and methodological tools. And while there is a paucity of effective interventions to reduce stigma, there is no shortage of conceptual frameworks intending to offer a comprehensive understanding of stigma, ranging from sociocognitive models at the individual level to structural models at the macrolevel. Observations highlighting inadequacies in the individualistic and structural models are offered, followed by the theory of structuration as a possible complementary conceptual base for designing HIV/AIDS stigma-reduction interventions.
SURFACE RUNOFF AND LATERAL SUBSURFACE FLOW AS A RESPONSE TO CONSERVATION TILLAGE AND SOIL-WATER CONDITIONS

Conservation tillage has significant potential as a water management tool for cotton production on sandy, drought-prone soils. Plant residue remaining at the soil surface from prior crops serves as a vapor barrier against water loss, reduces raindrop impact energy, slows surface runoff, and often increases infiltration. By increasing infiltration, the potential for greater plant-available water can be enhanced and irrigation requirements reduced. Five years of data were collected to quantify the hydrologic differences between strip till and conventional till production systems. Surface runoff and lateral subsurface flow were measured on six 0.2 ha plots in South Georgia in order to quantify the water-related effects of conservation tillage. Significant differences in surface and subsurface water losses were observed between the conventional and strip tilled plots. Surface runoff from the conventionally tilled plots exceeded that from the strip tilled plots, while subsurface losses were reversed. Surface runoff losses from the conventionally tilled plots exceeded those from the strip tilled plots by 81% (129 mm/year). Shallow lateral subsurface losses from the strip tilled plots exceeded those from the conventionally tilled plots by 73% (69 mm/year). Overall, a net annual gain of 60 mm of water was observed for the strip tilled plots.