Miracle-dz/UniFAR-FTUs huggingface dataset:
Solucionessolit´ onicasdelaecuaci´ ondeGross-Pitaevskiiconun potencialasim´ etrico Soliton solutions of the Gross-Pitaevskii equation with an asymmetric potential

In this paper we study the one-dimensional Gross-Pitaevskii equation with a time-depend spatially asymmetric potential known as a ratchet potential. By means of variational methods we obtain multi-soliton solutions of the Gross-Pitaevskii equation, in particular, we analyze the collisions between solitons for different parameters that define the potential. Also, we study the capacity of ratchet potentials to synthetize soliton molecules and the properties of these states. The results suggest methods to control bright solitons in Bose-Einstein condensates.
Highlighting the present state of biomechanics in shoe research (2000–2023)

Abstract Footwear science research has seen a roughly 10-fold increase in publications over the last 20 years. This commentary will focus on the three primary research themes of this time frame: methodological developments, running-related injuries, and performance. Within each theme, we summarise the knowledge generated through the substantial increase in publications over the last couple of decades. The methodological developments highlight both improvements in data analysis techniques as well as changes in how we measure variables of interest. Running-related injury prediction paradigms have evolved significantly during these years, which affect how we recommend moving forward in the field. Substantial excitement has filled the performance research field, as we discuss how the advent of Advanced Footwear Technologies altered the research questions and approaches. The undeniable growth in the field over in recent years can be attributed to a strong foundation of knowledge, nurtured by a curiosity to obtain understanding through holistic approaches. The community has embarked on the next stage of the journey, armed with new data collection tools and analytical methodologies, with the objective to better understand the effect of novel footwear design on performance enhancement and injury prevention.
Importin β1 Mediates Nuclear Entry of EIN2C to Confer the Phloem-Based Defense against Aphids

Ethylene Insensitive 2 (EIN2) is an integral membrane protein that regulates ethylene signaling towards plant development and immunity by release of its carboxy-terminal functional portion (EIN2C) into the nucleus. The present study elucidates that the nuclear trafficking of EIN2C is induced by importin β1, which triggers the phloem-based defense (PBD) against aphid infestations in Arabidopsis. In plants, IMPβ1 interacts with EIN2C to facilitate EIN2C trafficking into the nucleus, either by ethylene treatment or by green peach aphid infestation, to confer EIN2-dependent PBD responses, which, in turn, impede the phloem-feeding activity and massive infestation by the aphid. In Arabidopsis, moreover, constitutively expressed EIN2C can complement the impβ1 mutant regarding EIN2C localization to the plant nucleus and the subsequent PBD development in the concomitant presence of IMPβ1 and ethylene. As a result, the phloem-feeding activity and massive infestation by green peach aphid were highly inhibited, indicating the potential value of EIN2C in protecting plants from insect attacks.
Information scheduling and asymptotical stability of networked control systems

The asymptotical stabilization problem of networked control systems is studied under communication constraints which cause system information loss. The stability and performance of the closed loop system are then not only determined by the characteristics of the control system, but also determined by the scheduling manner imposed by network. A simple information scheduling scheme is presented and the admissibility problem of such information scheduling approach is also studied through the stability justification of the closed loop system for given sampling manner. A numerical example illustrates the proposed method.
Use of ray theory to calculate high-frequency radiation from earthquake sources having spatially variable rupture velocity and stress drop

We analyze the problem of calculating high-frequency ground motions (>1 Hz) caused by earthquakes having arbitrary spatial variations of rupture velocity and slip velocity (or stress drop) over the fault. We approximate the elastic wave Green's functions by far-field body waves, which we calculate using geometric ray theory. However, we do not make the traditional Fraunhofer approximation, so our method may be used close to large faults. The method is confined to high frequencies (greater than about 1 Hz) due to the omisson of near-field terms, and must be used at source-observer distances less than a few source depths, due to the omission of surface waves. It is easily used in laterally varying velocity structures. Assuming a simple parameterization of the slip function, the computational problem collapses to the evaluation of a series of line integrals over the fault, with one line integral per each time ti in the observer seismogram. The path of integration corresponding to observation time ti consists of only those points on the fault which radiate body waves arriving at the observer at exactly time ti . This path is an isochron of the arrival time function. An isochron velocity may be defined that depends on rupture velocity and resembles the usual directivity function. Observed ground motions are directly dependent upon this isochron velocity. Ground velocity is proportional to isochron velocity and ground acceleration is proportional to isochron acceleration in dislocation models of rupture. Ground acceleration may also be related to spatial variations of slip velocity on the fault, using the square of isochron velocity as a constant of proportionality. We show two rupture models, one with variable slip velocity and the other with variable rupture velocity, that cause the same ground acceleration at a single observer. The computational method is shown to produce reasonably accurate synthetic seismograms, compared to a method using complete Green's functions, and requires about 0.5 per cent of the computer time. It may be very effective in calculating ground motions in the frequency band 1 to 10 Hz at observers within a few source depths of large earthquakes, where most of the high-frequency motions may be caused by direct P and S waves. We suggest a possible method for inverting ground motions for both slip velocity and rupture velocity over the fault.
Shrinkage of dispersion parameters in the double exponential family of distributions, with applications to genomic sequencing

The prevalence of sequencing experiments in genomics has led to an increased use of methods for count data in analyzing high-throughput genomic data to perform analyses. The importance of shrinkage methods in improving the performance of statistical methods remains. A common example is that of gene expression data, where the counts per gene are often modeled as some form of an overdispersed Poisson. In this case, shrinkage estimates of the per-gene dispersion parameter have lead to improved estimation of dispersion in the case of a small number of samples. We address a different count setting introduced by the use of sequencing data: comparing differential proportional usage via an overdispersed binomial model. Such a model can be useful for testing differential exon inclusion in mRNA-Seq experiments in addition to the typical differential gene expression analysis. In this setting, there are fewer such shrinkage methods for the dispersion parameter. We introduce a novel method that is developed by modeling the dispersion based on the double exponential family of distributions proposed by Efron (1986), also known as the exponential dispersion model (Jorgensen, 1987). Our methods (WEB-Seq and DEB-Seq) are empirical bayes strategies for producing a shrunken estimate of dispersion that can be applied to any double exponential dispersion family, though we focus on the binomial and poisson. These methods effectively detect differential proportional usage, and have close ties to the weighted likelihood strategy of edgeR developed for gene expression data (Robinson and Smyth, 2007; Robinson et al., 2010). We analyze their behavior on simulated data sets as well as real data for both differential exon usage and differential gene expression. In the exon usage case, we will demonstrate our methods' superior ability to control the FDR and detect truly different features compared to existing methods. In the gene expression setting, our methods fail to control the FDR; however, the rankings of the genes by p-value is among the top performers and proves to be robust to both changes in the probability distribution used to generate the counts and in low sample size situations. We provide implementation of our methods in the R package DoubleExpSeq available from the Comprehensive R Archive Network (CRAN).
Multi-Modal Neurorehabilitation for Persisting Post-Concussion Symptoms

Treatment of the chronic sequela that persist after a mild traumatic brain injury has been challenging with limited efficacy. The aim of this work was to report outcomes obtained from persons who met the criteria of persisting post-concussive symptoms (PPCS), utilizing a novel combination of modalities in a structured neurorehabilitation program. This work was designed as a retrospective, pre-post chart review of objective and subjective measures collected from 62 outpatients with PPCS a mean of 2.2 years post-injury, before and after a multi-modal 5-day treatment protocol. The subjective outcome measure was the 27-item modified Graded Symptom Checklist (mGSC). Objective outcome measures were motor speed/reaction time, coordination, cognitive processing, visual acuity, and vestibular function. Interventions included non-invasive neuromodulation, neuromuscular re-education exercises, gaze stabilization exercises, orthoptic exercises, cognitive training, therapeutic exercises, and single/multi-axis rotation therapy. Pre-post differences in measures were analyzed using the Wilcoxon signed-rank test, with effect size determined by the rank-biserial correlation coefficient. Pre-post treatment comparisons for the subjective mGSC overall, combined symptom measures, individual components of the mGSC, and cluster scores significantly improved for all items. Moderate strength relationships were observed for the mGSC composite score, number of symptoms, average symptom score, feeling in a “fog,” “don't feel right,” irritability, and physical, cognitive, and affective cluster scores. Objective symptom assessment significantly improved for trail making, processing speed, reaction time, visual acuity, and Standardized Assessment of Concussion. Patients suffering from PPCS ∼2 years after injury may have significant benefits with some moderate effect sizes from an intensive, multi-modal neurorehabilitation program.
A Diagnostic Dilemma: Transposition of the Great Arteries

Transposition of the great arteries (TGA) remains one of the most common and severe underdiagnosed congenital cardiac anomalies in the prenatal period. Unfortunately, despite advances in prenatal ultrasound screening, the detection rate of major congenital heart defects (CHDs) remains low. We present the case of a preterm male infant delivered limp with generalized cyanosis and in respiratory distress at 36 weeks gestation with postnatal echocardiography (ECHO) depicting dextro-TGA (d-TGA). Maternal prenatal targeted fetal anomaly ultrasonography at 18 weeks gestation showed abnormal right ventricle and right ventricular outflow tract. Subsequent two-time repeat fetal ECHO showed ventricular septal defect. This case represents how challenging and unrecognized critical CHDs can be. Furthermore, it highlights the need for clinicians to have a high index of suspicion when newborns present with clinical manifestations of critical CHDs and manage it accordingly to avoid severe complications.
Public health concerns surrounding the cVDPV2 outbreak in Africa: Strategies for prevention and control with a special focus on Nigeria

Poliovirus is a global health issue that affects children in different parts of the world. Despite the efforts of national, international, and nongovernmental organizations to eradicate the disease, it is re‐emerging in Africa due to poor sanitation, vaccine hesitancy, new ways of transmission, and poor surveillance among others. Circulating vaccine‐derived poliovirus type 2 (cVDPV2) is a major step in eradicating poliovirus and preventing outbreaks in developing countries. Strengthening African healthcare systems, increasing surveillance, hygiene and sanitation, and proper mass vaccination to achieve herd immunity are required in the fight against polio disease. This paper discusses the outbreak of cVDPV2, public health challenges, and recommendations in Africa with a special emphasis on Nigeria.
ZEB1 Is Regulated by K811 Acetylation to Promote Stability, NuRD Complex Interactions, EMT, and NSCLC Metastasis

Abstract Epithelial-to-mesenchymal transition results in loss of specialized epithelial cell contacts and acquisition of mesenchymal invasive capacity. The transcription repressor zinc finger E-box-binding homeobox 1 (ZEB1) binds to E-boxes of gene promoter regions to suppress the expression of epithelial genes. ZEB1 has inconsistent molecular weights, which have been attributed to posttranslational modifications (PTM). We performed mass spectrometry and identified K811 acetylation as a novel PTM in ZEB1. To define the role of ZEB1 acetylation in regulating function, we generated ZEB1 acetyl-mimetic (K811Q) and acetyl-deficient (K811R) mutant-expressing non–small cell lung cancer cell lines (NSCLC). We demonstrate that the K811R ZEB1 (125 kDa) has a shorter protein half-life than wild-type (WT) ZEB1 and K811Q ZEB1 (∼225 kDa), suggesting that lack of ZEB1 acetylation in the lower molecular weight form affects protein stability. Further, the acetylated form of ZEB1 recruits the nucleosome remodeling and deacetylase (NuRD) complex to bind the promoter of its target genes mir200c-141 and SEMA3F. RNA-sequencing revealed that WT ZEB1 and K811Q ZEB1 downregulate the expression of epithelial genes to promote lung adenocarcinoma invasion and metastasis, whereas the K811R ZEB1 does not. Our findings establish that the K811 acetylation promotes ZEB1 protein stability, interaction with other protein complexes, and subsequent invasion/metastasis of lung adenocarcinoma via epithelial-to-mesenchymal transition. Implications: The molecular mechanisms by which ZEB1 is regulated by K811 acetylation to promote protein stability, NuRD complex and promoter interactions, and function are relevant to the development of treatment strategies to prevent and treat metastasis in patients with NSCLC.
Androgen signalling in the ovaries and endometrium

Abstract Currently, our understanding of hormonal regulation within the female reproductive system is largely based on our knowledge of estrogen and progesterone signalling. However, while the important functions of androgens in male physiology are well known, it is also recognized that androgens play critical roles in the female reproductive system. Further, androgen signalling is altered in a variety of gynaecological conditions, including endometriosis and polycystic ovary syndrome, indicative of regulatory roles in endometrial and ovarian function. Co-regulatory mechanisms exist between different androgens, estrogens, and progesterone, resulting in a complex network of steroid hormone interactions. Evidence from animal knockout studies, in vitro experiments, and human data indicate that androgen receptor expression is cell-specific and menstrual cycle stage-dependent, with important regulatory roles in the menstrual cycle, endometrial biology, and follicular development in the ovaries. This review will discuss the expression and co-regulatory interactions of androgen receptors, highlighting the complexity of the androgen signalling pathway in the endometrium and ovaries, and the synthesis of androgens from additional alternative pathways previously disregarded as male-specific. Moreover, it will illustrate the challenges faced when studying androgens in female biology, and the need for a more in-depth, integrative view of androgen metabolism and signalling in the female reproductive system.
Mediastinitis After Congenital Heart Surgery: Epidemiology, Clinical Features and Outcomes

Mediastinitis after surgery for congenital heart disease has a great impact on morbidity and mortality. However, there are scarce studies focused on the epidemiology of postsurgical mediastinitis in pediatric patients. In this 18-year period retrospective study, the cumulative incidence of mediastinitis was low: 0.64%, (95% confidence interval: 0.36–1.1). Gram-negative bacilli were common (35%). The mortality rate was 7.1%, associated with fungal infection.
AOA Critical Issues Symposium: Shaping the Impact of Artificial Intelligence within Orthopaedic Surgery

Abstract: Artificial intelligence (AI) is a broad term that is widely used but inconsistently understood. It refers to the ability of any machine to exhibit human-like intelligence by making decisions, solving problems, or learning from experience. With its ability to rapidly process large amounts of information, AI has already transformed many industries such as entertainment, transportation, and communications through consumer-facing products and business-to-business applications. Given its potential, AI is also anticipated to impact the practice of medicine and the delivery of health care. Interest in AI-based techniques has grown rapidly within the orthopaedic community, resulting in an increasing number of publications on this topic. Topics of interest have ranged from the use of AI for imaging interpretation to AI-based techniques for predicting postoperative outcomes. The highly technical and data-driven nature of orthopaedic surgery creates the potential for AI, and its subdisciplines machine learning (ML) and deep learning (DL), to fundamentally transform our understanding of musculoskeletal care. However, AI-based techniques are not well known to most orthopaedic surgeons, nor are they taught with the same level of insight and critical thinking as traditional statistical methodology. With a clear understanding of the science behind AI-based techniques, orthopaedic surgeons will be able to identify the potential pitfalls of the application of AI to musculoskeletal health. Additionally, with increased understanding of AI, surgeons and their patients may have more trust in the results of AI-based analytics, thereby expanding the potential use of AI in clinical care and amplifying the impact it could have in improving quality and value. The purpose of this American Orthopaedic Association (AOA) symposium was to facilitate understanding and development of AI and AI-based techniques within orthopaedic surgery by defining common terminology related to AI, demonstrating the existing clinical utility of AI, and presenting future applications of AI in surgical care.
Sensory mechanisms of animal orientation and navigation

Although questions such as ‘How do animals find their way, and how do they sense and process this information in the brain? ’ have been asked for centuries, the field of animal orientation and navigation has seen an immense leap forward in the past few decades. Moreover, our understanding has also expanded considerably regarding the molecular and physiological mechanisms of the different compasses and cues used by animals for orientation and navigation (Akesson et al., Chapter 9, and Svensson et al., Chapter 11). Most notable are the advances made in our understanding of how animals can sense information provided by the geomagnetic field and use this information for behavioural tasks, for example for compass orientation during migration. But despite interdisciplinary and highly integrative research over recent decades, we do not fully understand how animals perceive the Earth s magnetic field. We know that animals use geomagnetic information for orientation tasks (see Akesson et al., Chapter 9), but the receptor(s) remain to be identified. In this chapter, we review current knowledge in this area, outline challenges, and suggest future approaches to elucidate the sensory modalities used by animals for orientation and navigational tasks.
Prescribing Behavior and Reasonable Price for Mental Health DiGAs - Results of a Pilot Study

BACKGROUND Since the Digital Health Care Act came into force in 2020, mHealth services can be prescribed and reimbursed as DiGAs in Germany. The most reimbursable DiGAs can be found in the area of psychiatric diseases. Little is known about the prescribing behavior of medical and psychological psychotherapists and the price they considered reasonable. OBJECTIVES To gather more detailed knowledge about the prescription behavior, appropriate diagnosis, reasonable price and importance of relevant characteristics. METHODS Online survey of 38 medical and psychological psychotherapists working in central Hesse. RESULTS Just under a third have prescribed DiGAs to date; suitable diagnoses include somatoform disorders, anxiety disorders and addictive disorders. Medical quality, user- friendliness and data protection are considered important. the reasonable price is below the current average market price. CONCLUSION The DiGAs do not seem to be prescribed by psychotherapists on a broad scale yet, the suitable indications are in line with the market offer, although the prices seem to be too high from the prescribers' point of view.
Surviving Racism and Sexism: What Votes in the Television Program Survivor Reveal About Discrimination

We examined whether there is evidence for racial and gender bias in the voting patterns of contestants on Survivor, a reality-television zero-sum game in which contestants compete for up to 39 days to win $1 million. Among 731 contestants across 40 seasons, we found evidence of racial and gender bias at multiple stages of Survivor. Compared with men, women were more likely to be voted out of their tribe first and were less likely to make it to the individual-competition stage of the game (i.e., the “merge”). They were also less likely to win Survivor. Black, Indigenous, and people of color (BIPOC) contestants, compared with White contestants, were more likely to be voted out of their tribe first and were less likely to make it to the individual-competition stage of the game. These findings suggest a systemic bias in favor of White men and against women of color.