Miracle-dz/UniFAR-FTUs huggingface dataset:
Early Rehabilitation Therapy Is Beneficial for Patients With Prolonged Mechanical Ventilation After Coronary Artery Bypass Surgery.

We investigated the effects of early rehabilitation therapy on prolonged mechanically ventilated patients after coronary artery bypass surgery (CABG). A total of 106 patients who underwent CABG between June 2012 and May 2015 were enrolled and randomly assigned into an early rehabilitation group (53 cases) and a control group (53 cases). The rehabilitation therapy consisted of 6 steps including head up, transferring from supination to sitting, sitting on the edge of bed, sitting in a chair, transferring from sitting to standing, and walking along a bed. The patients received rehabilitation therapy in the intensive care unit (ICU) after CABG in the early rehabilitation group. The control group patients received rehabilitation therapy after leaving the ICU.The results showed that the early rehabilitation therapy could significantly decrease the duration of mechanical ventilation (early rehabilitation group: 8.1 ± 3.3 days; control group: 13.9 ± 4.1 days, P < 0.01), hospital stay (early rehabilitation group: 22.0 ± 3.8 days; control group: 29.1 ± 4.6 days, P < 0.01), and ICU stay (early rehabilitation group: 11.7 ± 3.2 days; control group: 18.3 ± 4.2 days, P < 0.01) for patients requiring more than 72 hours prolonged mechanical ventilation. The results of Kaplan-Meier analysis showed that the proportions of patients remaining on mechanical ventilation in the early rehabilitation group were larger than that in the control group after 7 days of rehabilitation therapy (logrank test: P < 0.01). The results provide evidence for supporting the application of early rehabilitation therapy in patients requiring prolonged mechanical ventilation after CABG.
Conceptualization of e-Government integration studies

E-government integration has gained interest of researchers from different perspectives. Some have studied it from organizational perspective; other researchers have proposed models and recommended solutions for technical problems in some systems. Other researchers deal with integration interoperability or information sharing and often focus on integration in other domains (e.g., supply chain management). Yet, not many efforts are dedicated towards e-Government integration conceptualization. This paper renders a panoramic overview on the past development, present status and future trends of e-Government integration. This comprehensive and systematic assessment on existing literature is hoped to serve as taxonomy for navigating and understanding the research advancements towards e-Government integration. Based on a content analysis method, this paper identifies e-Government integration stakeholders, useful theories applied, and research methods employed. Our findings suggest that there is a strong need for a better understanding of what are valuable and compelling conceptions of e-Government integration and who are the stakeholders involved. The lack of e-Government integration research is now recognized; despite much research on the e-Government integration is far from being understood.
Design and Effectiveness of a Required Pre-Clinical Simulation-based Curriculum for Fundamental Clinical Skills and Procedures

Abstract Background For more than 20 years, medical literature has increasingly documented the need for students to learn, practice and demonstrate competence in basic clinical knowledge and skills. In 2001, the Louisiana State University Health Science Centers (LSUHSC) School of Medicine – New Orleans replaced its traditional Introduction in to Clinical Medicine (ICM) course with the Science and Practice of Medicine (SPM) course. The main component within the SPM course is the Clinical Skills Lab (CSL). The CSL teaches 30 plus skills to all pre-clinical medical students (Years 1 and 2). Methods Since 2002, an annual longitudinal evaluation questionnaire was distributed to all medical students targeting the skills taught in the CSL. Students were asked to rate their self- confidence (Dreyfus and Likert-type) and estimate the number of times each clinical skill was performed (clinically/non-clinically). Of the 30 plus skills taught, 8 were selected for further evaluation. Results An analysis was performed on the eight skills selected to determine the effectiveness of the CSL. All students that participated in the CSL reported a significant improvement in self-confidence and in number performed in the clinically/non-clinically setting when compared to students that did not experience the CSL. For example, without CSL training, the percentage of students reported at the end of their second year self-perceived expertise as “novice” ranged from 21.4% (CPR) to 84.7% (GU catheterization). Students who completed the two-years CSL, only 7.8% rated their self-perceived expertise at the end of the second year as “novice” and 18.8% for GU catheterization. Conclusion The CSL design is not to replace real clinical patient experiences. It's to provide early exposure, medial knowledge, professionalism and opportunity to practice skills in a patient free environment.
Patent claim translation based on sublanguage-specific sentence structure

Patent claim sentences, despite their legal importance in patent documents, still pose difficulties for state-of-the-art statistical machine translation (SMT) systems owing to their extreme lengths and their special sentence structure. This paper describes a method for improving the translation quality of claim sentences, by taking into account the features specific to the claim sublanguage. Our method overcomes the issue of special sentence structure, by transferring the sublanguage-specific sentence structure (SSSS) from the source language to the target language, using a set of synchronous context-free grammar rules. Our method also overcomes the issue of extreme lengths by taking the sentence components to be the processing unit for SMT. The results of an experiment demonstrate that our SSSS transfer method, used in conjunction with pre-ordering, significantly improves the translation quality in terms of BLEU scores by five points, in both English-to-Japanese and Japanese-to-English directions. The experiment also shows that the SSSS transfer method significantly improves structural appropriateness in the translated sentences in both translation directions, which is indicated by substantial gains over 30 points in RIBES scores.
Information Revelation in Merger Waves

This paper examines the hypothesis that, during merger waves, a bidder’s actions provide information for other bidders and the market. I develop a real options model to explore the interplay between acquisition timing and the market reaction to these events. The model predicts a pattern of declining announcement returns along the merger wave and various forms of contagion returns. Consistent with the model’s predictions, in a sample of U.S. mergers, I find that the dispersion in bidders’ post-acquisition performance declines along the merger wave and that the start of a merger wave is associated with an increase in the conditional correlation of a bidder’s stock returns and the stock returns of other bidders.
Two New Rating Scales for Assessment of ADHD Symptoms in Italian Preschool Children

Objective: Two new rating scales are presented for the assessment of ADHD symptoms in Italian preschool children, and the agreement between parents and teachers on the presence of an ADHD profile is examined. Method: The scales were administered to parents and teachers of 180 children with a mean age of 5 years and 9 months, attending final year of the Italian preschool system (kindergarten). Results: Despite the good psychometric properties of the scales, parent and teacher agreement was poor and parents endorsed more symptomatic behaviors in their children than the teachers, especially for the hyperactive dimension, although they did not necessarily associate these with the presence of a potential problem. Conclusions: The low correspondence between teachers and parents shows that ADHD rating scales, although useful screening instruments, are not sufficient for diagnosis and must be combined with other tools. ( J. of Att. Dis. 2009; 12(6) 532-539)
Physical Layer Deterministic Network Coding Using PUM Turbo Codes over AWGN Channel, N Nodes through a Base Station Scenario

Network Coding (NC) is a recent technique which is used to improve the transmission data rate and the power efficiency. These goals are obtained by combining data together before transmitting them, resulting to less transmitted data that carry the same amount of information. NC research work over the physical layer and the upper layers are popular and needed to be more investigated. In this paper, we propose a practical system of large-number of connected multi-source network coding (LMSNC), at the physical layer that exploits the broadcast nature of the wireless channel, using the practical and bandwidth-efficient schemes decode-and-forward (DF) and then compare it with Amplify and Forward (AF). The theoretical analysis and the simulation results show the effect of the noise when it cumulates in AF system and how DF is solving this severe default. Moreover, we consider the MSNC for Small-number of connected sources (SMSNC) and the two-way communication setup where two users exchange their information over an intermediate network node (ideally called Base Station), as two reference cases to compare with. With SMSNC, the number of necessary downlink transmissions from the intermediate node to the users is reduced, and thus the throughput is increased. Simulation results obtained using high-performance non-binary turbo codes, based on Partial Unit Memory (PUM) codes (4, 2, 1, 4) and (8, 4, 3, 8); confirm that combining PUM Turbo Code (PUMTC) and NC in the proposed MSNC setup gives almost the same BER performance as that for SMSNC at the small number of processing steps mainly when PUMTC (8, 4, 3, 8) is performed, which is required to retrieve the received coded messages. In the scenario of AF, combining packets results to cumulate the noise, which justifies the reason we decided to increase the number of transmitted coded messages in the network, i.e., the BER performance improves when sending extra coded messages. Finally, the possibility for a trade-off among BER, data rate and the number of transmitted coded messages is shown for LMSNC through graphics and simulation results.
Human hand stiffness during discrete point-to-point multi-joint movement

We compared dynamic hand stiffness during discrete multi-joint arm movement and static stiffness during posture control in order to investigate computational strategy for arm control by the central nervous system. Estimated stiffness during movement obtained by applying small perturbations were lower than those during static posture near the end of the movement. This result supports our simulation study that the virtual equilibrium trajectory of the hand is complicated in its shape to compensate nonlinear interaction forces of the multi-joint arm especially for fast movements.
Dichroic interference effects in circularly polarized soft-x-ray resonant magnetic scattering.

Dichroic interference effects were observed in circularly polarized soft-x-ray reflectivity at the Co ${\mathit{L}}_{2,3}$ edges of a magnetic multilayer. The data show a maximum asymmetry ratio of 80%, greater than the degree of circular polarization of the incident light, a changeover in the dichroic characteristics with increasing grazing angle, and an inverted interference pattern in the angular dependence of the asymmetry ratio. These observations are explained successfully by a classical electromagnetic model calculation which includes the complete polarization state of the incident light and spatial interference within the multilayer.
The IRS-signaling system: a network of docking proteins that mediate insulin and cytokine action.

The integration of multiple transmembrane signals is especially important during development and maintenance of the nervous system, communication between cells of the immune system, evolution of transformed cells, and metabolic control (HUNTER 1997). Tyrosine phosphorylation plays a key role in many of these processes by directly controlling the activity of receptors or enzymes at early steps in
The effect of ESR of the capacitors on modeling of a quadratic boost converter

In recent years, the development of new technologies is requiring power supplies with wide conversion voltages. An alternative solution is to use a quadratic boost converter with a single active switch. This converter has two LC filters; thus, it will exhibit fourth-order characteristic dynamics. In this paper, switched linear, nonlinear averaged and linear averaged models are developed for the aforementioned converter. These models contain the effect of equivalent series resistance (ESR) of the capacitors. It is shown that inclusion of this effect in the corresponding transfer functions will produce damping to the first and second resonant peaks. The above will, in turn, simplify the controller design for either current or voltage mode control. At the end, experimental data for a 43 W quadratic boost converter will be given using a frequency response analyzer.
HOXB13 promotes ovarian cancer progression

Deregulated expression of HOXB13 in a subset of estrogen receptor-positive breast cancer patients treated with tamoxifen monotherapy is associated with an aggressive clinical course and poor outcome. Because the ovary is another hormone-responsive organ, we investigated whether HOXB13 plays a role in ovarian cancer progression. We show that HOXB13 is expressed in multiple human ovarian cancer cell lines and tumors and that knockdown of endogenous HOXB13 by RNA interference in human ovarian cancer cell lines is associated with reduced cell proliferation. Ectopic expression of HOXB13 is capable of transforming p53−/− mouse embryonic fibroblasts and promotes cell proliferation and anchorage-independent growth in mouse ovarian cancer cell lines that contain genetic alterations in p53, myc, and ras. In this genetically defined cell line model of ovarian cancer, we demonstrate that HOXB13 collaborates with activated ras to markedly promote tumor growth in vivo and that HOXB13 confers resistance to tamoxifen-mediated apoptosis. Taken together, our results support a pro-proliferative and pro-survival role for HOXB13 in ovarian cancer.
Important numerical features for novel endoplasmic reticulum genes classification of protein localizations in micrographs

Localization of proteins ties closely with the protein functions-the disorder of protein delivering can cause misfunction of the protein and genetic diseases. The analysis of micrographs can help to understand the distribution of proteins in the cell. ER protein's images analysis leads the researches to know that the same protein localization means the proteins have same function, and to understand the phylogenetic relationship by image's morphologies. This research uses SDA to find the best combination of features from original, skeletonized and brighter area images, which then utilized in SVM classification. The accuracy of this system can achieve 74% for the images acquired by the same hardware equipment.
The Impact of Human Resource Management Practices on Employees Performance: The Case of Islamic University of Gaza in Palestine

This article examines the impact of human resource management practices (HRMPs) on employee’s performance at Islamic University of Gaza (IUG) in Palestine. In particular, the primary data has been collected via standard questionnaires from a randomly selected sample of 115 employees (faculty and non-faculty members) of IUG. The multiple regression model was used to analyze the data SPSS 22. The findings of this research study have reported that HRMPs (recruitment and selection, training and development, compensation and incentives, performance appraisal) are positively related to employee’s performance. The contribution of this study is threefold. Firstly, to investigate the relationship between HRMPs and employees performance. Secondly, this research study provides meaningful insight about HRMPs and employees performance at higher education institutions in Palestine. Third, from a practical perspective, the study draws attention to the fact that there is a need to develop HRMPs that can enhance the effectiveness and sustainability of higher education institutions in Palestine. These results of this cross-sectional study can be applicable the similar higher educational institutions in Palestine.
Co-expression and hormonal regulation of genes in response to gravity and mechanical stimulation in the Arabidopsis root apex.

Plant roots direct their growth in response to gravity, light, and mechanical stimuli. Spatial changes in the rates of cell elongation and division are responsible for the directional growth. Local changes in hormone concentration and/or sensitivity have been shown to be part of the signal transduction and response mechanisms that result in those tropic growth responses. Part of most hormone regulated mechanisms are regulation of transcription and transcript stability. We have focused our analysis of whole genome microarrays on the differential regulation of transcript abundance changes during the first hour after gravity and mechanical stimulation with respect to the involvement of hormones – especially auxins and brassinosteroids.
The Effect of Diversification on Price Informativeness and Asset Values

Conventional wisdom is that, when an investor owns multiple firms, governance is weaker because she is spread too thinly. We show that common ownership can strengthen governance; moreover, the channel through which it does so applies to both voice and exit, and equityholders and debtholders. Under common ownership, an informed investor has flexibility over which assets to retain and which to sell, and sells low-quality assets first. This increases adverse selection and thus price informativeness. In a voice model, the investor's incentives to monitor are stronger since "cutting-and-running" is less profitable. In an exit model, the manager's incentives to work are stronger since the price impact of investor selling is greater.
Predicting Volatility in the S & P 500 through Regression of Economic Indicators

​—The unpredictability of domestic financial markets negatively affects millions of Americans on a daily basis. This paper proposes a predictive model for volatility in the S&P 500 stock index based on the Elastic Net regression algorithm. For the purposes of this analysis, market volatility is defined as the residual of any day’s average S&P 500 value from the 200 day moving market trend. The data generated by this definition of volatility serves as a historical training set, on which the Elastic Net regression algorithm can train. This algorithm mathematically relates an array of economic indicators, which serve as a holistic and quantifiable representation of economic conditions in the United States, to generated values of historical volatility. After this training process, the Elastic Net algorithm generates a predictive model for S&P 500 volatility that has a standardized mean squared error of 0.2300 and predicts an increase in volatility over the next three months. Because the model is trained on a data set that is updated daily, the model can be utilized in the future to predict volatility as well.
Developing and Assessing Immersive Content for Naval Training: Lessons Learned in the Virtual World

Content was developed in an immersive, 3-D virtual world (SecondLife Enterprise) as a pilot project to support a Navy training need to teach complex, highly visual concepts in an engaging fashion. An avatar-based virtual world was used due to their unique social and content creation properties. This project consisted of a series of modules designed to teach the naval concept of target motion analysis. The resulting “immersive learning trail” augmented a two-week unit that was part of a longer course. Students from a Naval schoolhouse participated in classes that used this content, and several assessments were performed. Students gained the most from the content when complex spatial concepts were taught, though impressions of the entire trail were positive. Several lessons learned are reported, including the need to consistently make the experience as immersive as possible and the kind of content that benefits most from immersion.
Alterations in Piglet Small Intestine after Cholesterol Deprivation

ABSTRACT: Mammalian cells require cholesterol for normal cell function. This requirement can be fulfilled by endogenous biosynthesis or by extracellular supplementation. Infants fed with human milk receive greater quantities of cholesterol than those fed commercial formulas. Whether this lack of cholesterol in commercial formulas poses a threat to normal neonatal cell function is not known. We compared small intestinal microvillus membrane fluidity, hydrolase activities, protein concentration, permeability to nonabsorbable markers, and weight gain in neonatal piglets receiving restricted intake of isocaloric formulas containing either normal amounts of cholesterol (145 mg/dl) or very low levels of cholesterol (<2 mg/dl). Using the fluorescent probe, diphenylhexatriene, and fluorescence polarization, microvillus membranes from cholesterol deprived piglets demonstrated higher fluidities than did microvillus membranes from animals fed normal concentrations of cholesterol. Cholesterol-deprived animals, even though their caloric intake was similar to cholesterol- fed animals, demonstrated a net weight loss per animal whereas the cholesterol-fed animals demonstrated a weight gain. These results demonstrate that in a pig model on a restricted intake, cholesterol deprivation alters the biophysical properties of the microvillus membrane.
Causal analysis in marketing: a customer satisfaction problem

In recent years, shopping streets are declining in aid of shopping centers. Consequently, to maximize loyalty and competitiveness in an increasingly competitive market it is essential to understand the distinctions characterizing the customers who choose shopping centers from those who opt for shopping centers. To analyse this differentiation, I use the log-linear causal models but, since these have not a complete causal theory, I use a new causal analysis to remedy this problem (Gheno, 2016). Starting from a complex model, I come to a simpler model to understand the different behaviors of the two types of customers. The data analysis shows that shopping centers customers are more driven by the emotions than the more rational and concrete ones who choose shopping centers.