Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of Early Intrapatient Variability of Tacrolimus Concentrations on the Risk of Graft-Versus-Host Disease after Allogeneic Stem Cell Transplantation Using High-Dose Post-Transplant Cyclophosphamide

Tacrolimus (Tac) is a pivotal immunosuppressant agent used to prevent graft-versus-host disease (GVHD) after allogeneic stem cell transplantation (alloHSCT). Tac is characterized by a narrow therapeutic window and a high inter-patient and intra-patient pharmacokinetic variability (IPV). Although high IPV of Tac concentrations has been associated with adverse post-transplant outcomes following solid organ transplantation, the effects of Tac IPV on alloHSCT recipients have not been determined. Tac IPV was therefore retrospectively evaluated in 128 alloHSCT recipients receiving high-dose post-transplant cyclophosphamide (PTCy) and the effects of Tac IPV on the occurrence of acute GVHD (aGVHD) were analyzed. Tac IPV was calculated from pre-dose concentrations (C0) measured during the first month after Tac initiation. The cumulative rates of grades II-IV and grades III-IV aGVHD at day +100 were 22.7% and 7%, respectively. Higher Tac IPV was associated with a greater risk of developing GVHD, with patients having IPV > 50th percentile having significantly higher rates of grades II-IV (34.9% vs. 10.8%; hazard ratio [HR] 3.858, p < 0.001) and grades III-IV (12.7% vs. 1.5%; HR 9.69, p = 0.033) aGVHD than patients having IPV ≤ 50th percentile. Similarly, patients with IPV > 75th percentile had higher rates of grades II-IV (41.9% vs. 16.5%; HR 3.30, p < 0.001) and grades III-IV (16.1% vs. 4.1%; HR 4.99, p = 0.012) aGVHD than patients with IPV ≤ 75th percentile. Multivariate analyses showed that high Tac IPV (>50th percentile) was an independent risk factor for grades II-IV (HR 2.99, p = 0.018) and grades III-IV (HR 9.12, p = 0.047) aGVHD. Determination of Tac IPV soon after alloHSCT could be useful in identifying patients at greater risk of aGVHD.
Vector potential formulation for Magnetostatics and modeling of permanent magnets

A very general magnetostatic problem, involving inhomogeneous anisotropic materials filling irregular regions and with mixed boundary conditions is formulated in terms of magnetic vector potential. Some restrictions inherent to the introduction of a vector potential become apparent and additional conditions for the uniqueness of the vector potential naturally arise. The modeling of permanent magnets is introduced in both the vector potential and the field formulations by weakening the regularity requirements on the source term. The vector potential formulation is also shown to be equivalent to a penalized formulation widely used in numerical applications. TEL:: +39.0382. 505655 KEYWORDS:: Magnetostatics,vector potential,existence and uniqueness,inhomogeneous and anisotropic materials,permanent magnets EMAIL:: perugia@dimat.unipv. it
Antifungal Mechanism of Metabolites from Newly Isolated Streptomyces sp. Y1-14 against Banana Fusarium Wilt Disease Using Metabolomics

Banana Fusarium wilt caused by Fusarium oxysporum f. sp. cubense tropical race 4 (Foc TR4) is one of the most destructive banana diseases in the world, which limits the development of the banana industry. Compared with traditional physical and chemical practices, biological control becomes a promising safe and efficient strategy. In this study, strain Y1-14 with strong antagonistic activity against Foc TR4 was isolated from the rhizosphere soil of a banana plantation, where no disease symptom was detected for more than ten years. The strain was identified as Streptomyces according to the morphological, physiological, and biochemical characteristics and the phylogenetic tree of 16S rRNA. Streptomyces sp. Y1-14 also showed a broad-spectrum antifungal activity against the selected 12 plant pathogenic fungi. Its extracts inhibited the growth and spore germination of Foc TR4 by destroying the integrity of the cell membrane and the ultrastructure of mycelia. Twenty-three compounds were identified by gas chromatography–mass spectrometry (GC-MS). The antifungal mechanism was investigated further by metabolomic analysis. Strain Y1-14 extracts significantly affect the carbohydrate metabolism pathway of Foc TR4 by disrupting energy metabolism.
The Pressure Gradient Conundrum of Sigma Coordinate Ocean Models

Abstract Much has been written of the error in computing the horizontal pressure gradient associated with sigma coordinates in ocean or atmospheric numerical models. There also exists the concept of “hydrostatic inconsistency” whereby, for a given horizontal resolution, increasing the vertical resolution may not be numerically convergent. In this paper, it is shown that the differencing scheme cited here, though conventional, is not hydrostatically inconsistent; the sigma coordinate, pressure gradient error decreases with the square of the vertical and horizontal grid size. Furthermore, it is shown that the pressure gradient error is advectively eliminated after a long time integration. At the other extreme, it is shown that diagnostic calculations of the North Atlantic Ocean using rather coarse resolution, and where the temperature and salinity and the pressure gradient error are held constant, do not exhibit significant differences when compared to a calculation where horizontal pressure gradients are c.
An Improved Naive Bayesian Classification Algorithm for Sentiment Classification of Microblogs

For the attribute-weighted based naive Bayesian classification algorithms, the selection of the weight directly affects the classification results. Based on this, the drawbacks of the TFIDF feature selection approaches in sentiment classification for the microblogs are analyzed, and an improved algorithm named TF-D(t)-CHI is proposed, which applies statistical calculation to obtain the correlation degree between the feature words and the classes. It presents the distribution of the feature items by variance in classes, which solves the problem that the short-texts contain few feature words while the high frequency feature words have too high weight. Experimental result indicate that TF-D(T)-CHI based naive Bayesian classification for feature selection and weight calculation has better classification results in sentiment classification for microblogs.
Image-spectral decomposition extended-learning assisted by sparsity for multi-energy computed tomography reconstruction

Background Multi-energy computed tomography (CT) provides multiple channel-wise reconstructed images, and they can be used for material identification and k-edge imaging. Nonetheless, the projection datasets are frequently corrupted by various noises (e.g., electronic, Poisson) in the acquisition process, resulting in lower signal-noise-ratio (SNR) measurements. Multi-energy CT images have local sparsity, nonlocal self-similarity in spatial dimension, and correlation in spectral dimension. Methods In this paper, we propose an image-spectral decomposition extended-learning assisted by sparsity (IDEAS) method to fully exploit these intrinsic priors for multi-energy CT image reconstruction. Particularly, a nonlocal low-rank Tucker decomposition (TD) is employed to utilize the correlation and nonlocal self-similarity priors. Moreover, considering the advantages of multi-task tensor dictionary learning (TDL) in sparse representation, an adaptive spatial dictionary and an adaptive spectral dictionary are trained during the iterative reconstruction process. Furthermore, a weighted total variation (TV) regularization term is employed to encourage local sparsity. Results Numerical simulation, physical phantom, and preclinical mouse experiments are performed to validate the proposed IDEAS algorithm. Specifically, in the simulation experiments, the proposed IDEAS reconstructed high-quality images that are very close to the references. For example, the root mean square error (RMSE) of IDEAS image in energy bin 1 is as low as 0.0672, while the RMSE of other methods are higher than 0.0843. Besides, the structural similarity (SSIM) of IDEAS reconstructed image in energy bin 1 is greater than 0.98. For material decomposition, the RMSE of IDEAS bone component is as low as 0.0152, and other methods are higher than 0.0199. In addition, the computational cost of IDEAS is as low as 98.8 s for one iteration, and the competing tensor decomposition method is higher than 327 s. Conclusions To further improve the quality of the reconstructed multi-energy CT images, multiple prior regularizations are introduced to the multi-energy CT reconstructed model, leading to an IDEAS method. Both qualitative and quantitative evaluation of our results confirm the outstanding performance of the proposed algorithm compared to the state-of-the-arts.
Meromorphic multifunctions in complex dynamics

Abstract Let {RA} be an analytic family of rational maps and denote by j(λ) the Julia set of Rλ. We prove that the upper semicontinuous regularization j(λ) of j(λ) (which coincides with j(λ) for all λ in a dense open set) is a meromorphic multifunction, and give applications that illustrate the instability of Julia sets. In a similar vein, we also consider forward orbits of critical points and limit sets of Kleinian groups.
Simulations of the Summer Circulation over the South American Region with an Eta Coordinate Model

Abstract A multilevel limited-area primitive equations model in eta coordinate is used to simulate the effects of the Amazonian latent heat source and the Andean topography on the summer (December, January, February) circulation over the South American region. The observed circulation features, such as the Bolivian high and the trough near the coast of Northeast Brazil in the upper troposphere, the elongated South Atlantic convergence zone (SACZ) oriented northwest to southeast from the southern Amazon region into the Atlantic Ocean, and the subtropical anticyclones in the South Pacific and South Atlantic Oceans in the lower levels are well simulated. Although heating alone produces the SACZ, the mountain and the basic flow put it in the observed position. It is found that regular daily pulses of heating are necessary for the maintenance of the SACZ. The position and intensity of the SACZ change rather substantially from the no-mountain case to the mountain case, thus showing the importance of the effect .
Hyperspectral Video Target Tracking Based on Deep Edge Convolution Feature and Improved Context Filter

To address the problem that the performance of hyperspectral target tracking will be degraded when facing background clutter, this paper proposes a novel hyperspectral target tracking algorithm based on the deep edge convolution feature (DECF) and an improved context filter (ICF). DECF is a fusion feature via deep features convolving 3D edge features, which makes targets easier to distinguish under complex backgrounds. In order to reduce background clutter interference, an ICF is proposed. The ICF selects eight neighborhoods around the target as the context areas. Then the first four areas that have a greater interference in the context areas are regarded as negative samples to train the ICF. To reduce the tracking drift caused by target deformation, an adaptive scale estimation module, named the region proposal module, is proposed for the adaptive estimation of the target box. Experimental results show that the proposed algorithm has satisfactory tracking performance against background clutter challenges.
Superior radiation resistance of In1-xGaxN alloys: Full-solar-spectrum photovoltaic material system

High-efficiency multijunction or tandem solar cells based on group III–V semiconductor alloys are applied in a rapidly expanding range of space and terrestrial programs. Resistance to high-energy radiation damage is an essential feature of such cells as they power most satellites, including those used for communications, defense, and scientific research. Recently we have shown that the energy gap of In1−xGaxN alloys potentially can be continuously varied from 0.7 to 3.4 eV, providing a full-solar-spectrum material system for multijunction solar cells. We find that the optical and electronic properties of these alloys exhibit a much higher resistance to high-energy (2 MeV) proton irradiation than the standard currently used photovoltaic materials such as GaAs and GaInP, and therefore offer great potential for radiation-hard high-efficiency solar cells for space applications. The observed insensitivity of the semiconductor characteristics to the radiation damage is explained by the location of the band edge.
Development narratives in a post-aid era: Reflections on implications for the global effectiveness agenda

: This paper argues that the crisis facing the development effectiveness agenda is fundamentally derived from limited collective commitment to a singular model of development, one where a developed North serves as model and funder for a developing South. This is partly the reason for the lacklustre political support received by the Global Partnership for Effective Development Cooperation (GPEDC) that emerged from the 2011 Busan High Level Forum. The discrediting of this North/South binary and the arrival of an era of multistakeholder-ism has generated a pluralism of development narratives better suited to 21st century geographies and global challenges. In this paper, I unpack three of these narratives, each framed by either supranational, nationalist, and solidaristic understandings of development. Building a political consensus around development effectiveness requires, as a first step, an awareness of these alternative framings of what global development currently stands for, including its objectives, modalities, financing channels, and stakeholders. This analysis foregrounds the ways each narrative holds different sets of actors accountable for conforming to effectiveness principles and empowers distinctive rights holder to hold these duty bearers to account. How far narrative pluralism can be accommodated within the universalist logic of development effectiveness remains to be seen.
Evaluation of raw segmental bioelectrical impedance variables throughout anterior cruciate ligament reconstruction rehabilitation

Background. Raw bioelectrical impedance analysis (BIA) variables are related to physical function in healthy and diseased populations. Therefore, BIA may be an insightful, noninvasive method of assessment to track following anterior cruciate ligament reconstruction (ACLR). Objectives. Evaluate phase angle, reactance and impedance at 50 kHz (PhA50, Xc50, and Z 50, respectively) in the operative (OP) and non-operative (NOP) limbs during ACLR rehabilitation. Approach. Seventeen patient (12 M, 5 F; 18.8 ± 4.8 years) clinic reports were evaluated prior to ACLR (PRE), two- (2 W), six- (6 W), and twelve-weeks (12 W) post-ACLR and at return to sport testing (RTS). Setting. All observations occurred during the participant’s physical therapy visits. Measurements. A multi-frequency BIA device measured segmental PhA, Xc, and Z. Linear mixed effects models were used to assess any leg and time interaction and changes over leg and time, independently. Any interactions or main effects were considered significant at p < 0.05. Main results. Significant leg x time interactions were observed for each variable. PhA50 and Xc50 of NOP were higher (p < 0.001) than OP at each time point by an average of by 0.9° and 4.9 Ω, respectively. In OP, PhA50 and Xc50 decreased from PRE to 2 W and increased from 6 to 12 W and 12 W to RTS (p < 0.01, for all). At RTS, PhA50 and Xc50 were similar to PRE in OP (p > 0.05). For Z 50, the OP leg did not change over time (p > 0.05). Z 50 was greater in NOP at 2 and 6 W (p < 0.01, for both). There were differences in PhA50 in NOP between PRE and 6 W and from 6 W to RTS (p < 0.05 for both). Xc50 did not change (p > 0.05), and Z 50 PRE was lower than at 2 W (p < 0.05). Significance. A multi-frequency BIA device can detect changes in segmental BIA variables following ACLR.
Standing Balance Control of a Bipedal Robot Based on Behavior Cloning

Bipedal robots have gained increasing attention for their human-like mobility which allows them to work in various human-scale environments. However, their inherent instability makes it difficult to control their balance while they are physically interacting with the environment. This study proposes a novel balance controller for bipedal robots based on a behavior cloning model as one of the machine learning techniques. The behavior cloning model employs two deep neural networks (DNNs) trained on human-operated balancing data, so that the trained model can predict the desired wrench required to maintain the balance of the bipedal robot. Based on the prediction of the desired wrench, the joint torques for both legs are calculated using robot dynamics. The performance of the developed balance controller was validated with a bipedal lower-body robotic system through simulation and experimental tests by providing random perturbations in the frontal plane. The developed balance controller demonstrated superior performance with respect to resistance to balance loss compared to the conventional balance control method, while generating a smoother balancing movement for the robot.
Long‐Term Observations of Turbulence Vertical Velocity Spectra in a Convective Mixed Layer: Dependence on Land‐Surface Forcing in the U.S. Southern Great Plains

Doppler lidar vertical velocity retrievals were analyzed for the scale and structure of mixed‐layer turbulence over a 7‐year period, on fair‐weather warm season days (442 cases) in the U.S. Southern Great Plains. Based on the hypothesized influence of land‐surface forcing and updraft size on convective boundary layer clouds, a spectral analysis was performed to quantify effects of surface forcing (surface buoyancy flux, friction velocity, and evaporative fraction) on turbulence scale. Significant (order‐of‐magnitude) variations in spectral density were found in the energy‐production subrange and mesoscale regimes. Integral scale decreased with increasing buoyancy flux (and Monin‐Obukhov stability parameter), while spectral density in the energy‐production subrange increased, implying a transition to buoyancy‐driven cellular structures with narrower updrafts. The influence of stability parameter was limited to the neutral to convective transition, and could not explain the wide variation in spectral density in the mesoscale regime. However, high friction velocity ( u∗>0.5ms−1 ${u}^{\ast } > \,0.5\,\mathrm{m}\,{\mathrm{s}}^{-1}$ ) was associated with larger integral scale (updraft width), and a greater portion of spectral density in the mesoscale regime. Lidar profiles and radar reflectivity for individual cases revealed evidence of roll and wave‐like structures contributing to mesoscale variability on high friction velocity days, suggesting shear instabilities on days with wetter land surface conditions and smaller buoyancy flux. The role of friction velocity emphasizes the multivariate nature of surface influences on turbulence, and implies that variance‐based turbulence closures may not be adequate for capturing effects of surface forcing on updraft size.
Exercising body but not mind: A qualitative exploration of attitudes to combining physical activity and mindfulness practice for mental health promotion

Background Physical activity and mindfulness meditation can be effective for maintaining good mental wellbeing, with early-stage research suggesting even greater effectiveness in tandem. Literature is lacking on the perceptions and acceptability of these practices, particularly in a preventative context. The study aimed to explore attitudes toward mental health and its maintenance through physical activity and mindfulness meditation in the university student population. Methods Semi-structured qualitative interviews were conducted with a sample of 16 students from 10 United Kingdom universities (Mage = 23 years, SD = 3.22) recruited through social media and stratified to have varied wellbeing symptoms, physical activity levels, and experience with mindfulness meditation. Reflexive thematic analysis was used to elicit meaning from the data. Results Four main themes were constructed. Participants held a “Dualist view of health,” in which mental and physical aspects were seen as distinct but connected, and prioritized physical health maintenance. The “Low-point paradox,” where engagement is most difficult during the time of greatest need, was identified as a crucial psychological barrier across health behaviors. “Unfamiliarity with mindfulness practice” was common, as were misconceptions inhibiting practice. Finally, participants were intrigued by combining physical activity and mindfulness, supposing that “Whole is greater than the sum of its parts,” with mutual reinforcement of the two techniques cited as biggest motivating factor. Conclusion Effective preventative mental health strategies for adults, including university students, should accommodate for common psychological barriers and facilitators to health maintenance behaviors, including misconceptions surrounding mindfulness, to increase acceptability. Combining physical activity and mindfulness meditation is one promising preventative approach that warrants further investigation.
Have You Touched? A Case Study of Touch N Go E-Wallet

This paper examines the relationship between the product features, convenience, perceived trust, customer satisfaction, and intention to use the Touch' n go e-Wallet. In this research, we have sent a survey to our target respondents, the people who are using Touch' n go e-Wallet. They are include students, employed, unemployed, self-employed, and retired respondents, including all races from all age levels. In this research, we want to know whether the respondents would like to use cash to pay in their daily lives or prefer to transit the cash to cashless. A total of 150 respondents has participated in our online survey via Google Forms. Our research which is findings which product features, convenience, perceived trust, customer satisfaction will what effects to the intention to use of consumer towards the Touch’ N Go e-Wallet. Beside then that, our team also do some research towards the product features, convenience and perceived trust will affect the customer satisfaction or not. This research provides new insights and recommendation
Atomistic simulations of tension properties for bi-crystal copper with twist grain boundary

Molecular dynamics simulation using an EAM potential to explore the tension response for a nanowire with a twist grain boundary (GB) is presented in this paper. The relationship between the GB strength and the interface dislocation structure is discussed. For a low angle twist GB, partial dislocations nucleate from the screw dislocation at the GB before yielding and the interface yields at the point when the dislocation networks lose their stability. For a high angle twist GB, the interface yields at the point when the whole interface structure is disturbed and partial dislocations propagate into the grain after the yielding point. In addition, the study provides an insight into the understanding of the atomic mechanism for tension localization at the GB, which is obvious for the high angle twist GB, but indistinct for the low angle twist GB. The results presented may have obvious implications for the nanowire test.