Miracle-dz/UniFAR-FTUs huggingface dataset:
General Overview and Diagnostic (Imaging) Techniques for Neurogenic Thoracic Outlet Syndrome

Thoracic outlet syndrome is an uncommon and controversial syndrome. Three different diagnoses can be made based on the compressed structure, arterial TOS, venous TOS, and neurogenic TOS, though combinations do exist as well. Diagnosing NTOS is difficult since no specific objective diagnostic modalities exist. This has resulted in a lot of controversy in recent decades. NTOS remains a clinical diagnosis and is mostly diagnosed based on the exclusion of an extensive list of differential diagnoses. To guide the diagnosis and treatment of TOS, a group of experts published the reporting standards for TOS in 2016. However, a consensus was not reached regarding a blueprint for a daily care pathway in this document. Therefore, we constructed a care pathway based on the reporting standards for both the diagnosis and treatment of NTOS patients. This care pathway includes a multidisciplinary approach in which different diagnostic tests and additional imaging techniques are combined to diagnose NTOS or guide patients in their treatment for differential diagnoses. The aim of the present work is to discuss and explain the diagnostic part of this care pathway.
Computational Modeling Analysis of Kinetics of Fumarate Reductase Activity and ROS Production during Reverse Electron Transfer in Mitochondrial Respiratory Complex II

Reverse electron transfer in mitochondrial complex II (CII) plays an important role in hypoxia/anoxia, in particular, in ischemia, when the blood supply to an organ is disrupted and oxygen is not available. A computational model of CII was developed in this work to facilitate the quantitative analysis of the kinetics of quinol-fumarate reduction as well as ROS production during reverse electron transfer in CII. The model consists of 20 ordinary differential equations and 7 moiety conservation equations. The parameter values were determined at which the kinetics of electron transfer in CII in both forward and reverse directions would be explained simultaneously. The possibility of the existence of the “tunnel diode” behavior in the reverse electron transfer in CII, where the driving force is QH2, was tested. It was found that any high concentrations of QH2 and fumarate are insufficient for the appearance of a tunnel effect. The results of computer modeling show that the maximum rate of succinate production cannot provide a high concentration of succinate in ischemia. Furthermore, computational modeling results predict a very low rate of ROS production, about 50 pmol/min/mg mitochondrial protein, which is considerably less than 1000 pmol/min/mg protein observed in CII in forward direction.
Prevalence of secondary health conditions and mental status in persons with long-term spinal cord injury in South Africa: Comparison between public and private healthcare sectors.

BACKGROUND Spinal cord injuries typically result in a range of negative health outcomes and health states, which impacts overall functioning, health and well-being. It remains important to establish the prevalence (burden) of health outcomes to help with the development of optimal treatment strategies. OBJECTIVES To determine the prevalence and treatment rates of secondary health conditions (SHCs) and mental health states in persons with long-term spinal cord injury (SCI) receiving public compared with private healthcare services in South Africa. METHODS A cross-sectional survey included 200 community-dwelling persons with long-term SCI, 60% with paraplegia, 53% with complete injuries and 156 from the public and 44 from private healthcare sectors. The following modules of the International Spinal Cord Injury (InSCI) community survey were used: (i) demographic and injury characteristics; (ii) SHCs and treatment rates; and (iii) vitality and emotional well-being. All statistical analyses were stratified according to healthcare sector. RESULTS Pain (47% v. 57), sexual dysfunction (59% v. 41%) and muscle spasms (54% v. 43%) were the most common SHCs in both cohorts, and the period prevalence was significantly higher for sleeping problems (41% v. 25%), sexual dysfunction (59% v. 41%) and contractures (42% v. 20%) in the public compared with the private cohort. Persons with SCI in the private cohort received treatment more often for sleeping problems (100% v. 45%), autonomic dysreflexia (75% v. 27%) and pain (56% v. 33%) than their counterparts with public insurance. Negative mental health states were prevalent in both groups. CONCLUSION SHCs and negative mental health were common in persons with SCI in South Africa, while those with public insurance reporter a higher occurrence of sleep problems and contractures, as well as lower treatment rates. Overall, a need exists to better support persons with SCI in the long-term context to facilitate improved functioning and wellbeing.
Theoretical Analyses of Turgor Pressure during Stress Relaxation and Water Uptake, and after Changes in Expansive Growth Rate When Water Uptake Is Normal and Reduced

Turgor pressure provides the force needed to stress and deform the cell walls of plants, algae, and fungi during expansive growth. However, turgor pressure plays another subtle but equally important role in expansive growth of walled cells: it connects the two biophysical processes of water uptake and wall deformation to ensure that the volumetric rates of water uptake and enlargement of the cell wall chamber are equal. In this study, the role of turgor pressure as a ‘connector’ is investigated analytically by employing validated and established biophysical equations. The objective is to determine the effect of ‘wall loosening’ on the magnitude of turgor pressure. It is known that an increase or decrease in turgor pressure and/or wall loosening rate increases or decreases the expansive growth rate, respectively. Interestingly, it is shown that an increase in the wall loosening rate decreases the turgor pressure slightly, thus reducing the effect of wall loosening on increasing the expansive growth rate. Other analyses reveal that reducing the rate of water uptake results in a larger decrease in turgor pressure with the same increase in wall loosening rate, which further reduces the effect of wall loosening on increasing the expansive growth rate.
Using Machine Learning to Understand the Relationships Between Audiometric Data, Speech Perception, Temporal Processing, And Cognition

Aging and hearing loss cause communication difficulties, particularly for speech perception in demanding situations, which have been associated with factors including cognitive processing and extended high-frequency (>8 kHz) hearing. Quantifying such associations and finding other (possibly unintuitive) associations is well suited to machine learning. We constructed ensemble models for 443 participants who varied in age and hearing loss. Audiometric, perceptual, electrophysiological, and cognitive data were used to predict speech perception in noise, reverberation, and with time compression. Speech perception was best predicted by variables associated with audiometric thresholds (including new across-frequency composite variables) between 1–4 kHz, followed by basic temporal processing ability. Cognitive factors and extended high-frequency thresholds had little to no predictive ability of speech perception. Future associations or lack thereof will inform the field as we attempt to better understand the intertwined effects of speech perception, aging, hearing loss, and cognition.
Rhizosphere Microbiota Promotes the Growth of Soybeans in a Saline–Alkali Environment under Plastic Film Mulching

The rhizosphere microbiota plays a critical and crucial role in plant health and growth, assisting plants in resisting adverse stresses, including soil salinity. Plastic film mulching is an important method to adjust soil properties and improve crop yield, especially in saline–alkali soil. However, it remains unclear whether and to what extent the association between these improvements and rhizosphere microbiota exists. Here, from a field survey and a greenhouse mesocosm experiment, we found that mulching plastic films on saline–alkali soil can promote the growth of soybeans in the field. Results of the greenhouse experiment showed that soybeans grew better in unsterilized saline–alkali soil than in sterilized saline–alkali soil under plastic film mulching. By detecting the variations in soil properties and analyzing the high-throughput sequencing data, we found that with the effect of film mulching, soil moisture content was effectively maintained, soil salinity was obviously reduced, and rhizosphere bacterial and fungal communities were significantly changed. Ulteriorly, correlation analysis methods were applied. The optimization of soil properties ameliorated the survival conditions of soil microbes and promoted the increase in relative abundance of potential beneficial microorganisms, contributing to the growth of soybeans. Furthermore, the classification of potential key rhizosphere microbial OTUs were identified. In summary, our study suggests the important influence of soil properties as drivers on the alteration of rhizosphere microbial communities and indicates the important role of rhizosphere microbiota in promoting plant performance in saline–alkali soil under plastic film mulching.
Study on the Trade-Off Synergy Relationship of “Production-Living-Ecological” Functions in Chinese Counties: A Case Study of Chongqing Municipality

The trade-off and coordinated development of the “production-living-ecological” functions (PLEFs) of an area is an important basis for the optimization of the spatial pattern of the land, and helps to promote the harmonious symbiotic relationship between human beings and nature. This paper combines ecological niche theory, a coupling coordination model, and a trade-off synergy model to construct an evaluation index system for Chinese county PLEFs. Quantitative methods were used to measure spatiotemporal evolution characteristics, trade-off synergy of PLEFs in 38 counties in Chongqing, China, and the coupling coordination degree between PLEFs. The results showed that the ecological niche width of the “production-ecological” function revealed an overall growth trend. However, there was a mismatch in regional development of the “production-ecological” function, showing dislocation characteristics of “high in the west and low in the east” and “high in the east and low in the west. ” The niche width of the life function is similar to the comprehensive niche width of PLEFs, showing the characteristics of fluctuation and partition change. PLEFs and both the aforementioned functions showed distribution characteristics of “high in the west and low in the east,” with the whole moving towards the stage of coordinated coupling, of which the “production-living” function has the highest coupling level. The functional coupling coordination degree of “production-living-ecological” is generally manifested as “high in the west and low in the east,” and changing from the primary stage of imbalance to well-coordinated development. The “production-ecological” and “living-ecological” functions are in low-level imbalance in the primary and moderate coordination stages. Additionally, the evolution trend of the “production-ecological” and the “living-ecological” functions are similar, showing alternating and fluctuating development characteristics. Overall, in the past 20 years, Chongqing’s “living-production” function has changed from a trade-off model to a collaborative development relationship, and the “living-ecological” function is generally based on a collaborative development relationship. The “ecological function” is manifested as a trade-off constraint relationship. Moreover, the coordinated development level of “living-production,” “living-ecological,” and “production-ecological” functions in the central urban area has been greatly improved, while counties have gradually shown different degrees of trade-offs.
The Eddies and Scales of Wall Turbulence

The wide ranges of length and velocity scales that occur in turbulent flows make them both interesting and difficult to understand. The length scale range is widest in high Reynolds number turbulent wall flows where the dominant contribution of small scales to the stress and energy very close to the wall gives way to dominance of larger scales with increasing distance away from the wall. Intrinsic length scales are defined statistically by the two-point spatial correlation function, the power spectral density, conditional averages, proper orthogonal decomposition, wavelet analysis and the like. Before two- and three-dimensional turbulence data became available from PIV and DNS, it was necessary to attempt to infer the structure of the eddies that constitute the flow from these statistical quantities or from qualitative flow visualization. Currently, PIV and DNS enable quantitative, direct observation of structure and measurement of the scales associated with instantaneous flow patterns. The purpose of this chapter is to review the behavior of statistically-based scales in wall turbulence, to summarize our current understanding of the geometry and scales of various coherent structures and to discuss the relationship between instantaneous structures of various scales and statistical measures. Introduction Wall-bounded turbulent flows are pertinent in a great number of fields, including geophysics, biology, and most importantly engineering and energy technologies where skin friction, heat and mass transfer, flow-generated noise, boundary layer development and turbulence structure are often critical for system performance and environmental impact.
Mean flow generation by Görtler vortices in a rotating annulus with librating side walls

Time periodic variation of the rotation rate of an annulus induces in supercritical regime an unstable Stokes boundary layer over the cylinder side walls, generating Gortler vortices in a portion of a libration cycle as a discrete event. Numerical results show that these vortices propagate into the fluid bulk and generate an azimuthal mean flow. Direct numerical simulations of the fluid flow in an annular container with librating outer (inner) cylinder side wall and Reynolds-averaged Navier–Stokes (RANS) equations as diagnostic equations are used to investigate generation mechanism of the retrograde (prograde) azimuthal mean flow in the bulk. First, we explain, phenomenologically, how absolute angular momentum of the bulk flow is mixed and changed due to the propagation of the Gortler vortices, causing a new vortex of basin size. Then we investigate the RANS equations for intermediate time scale of the development of the Gortler vortices and for long time scale of the order of several libration periods. The former exhibits sign selection of the azimuthal mean flow. Investigating the latter, we predict that the azimuthal mean flow is proportional to the libration amplitude squared and to the inverse square root of the Ekman number and libration frequency and then confirms this using the numerical data. Additionally, presence of an upscale cascade of energy is shown, using the kinetic energy budget of fluctuating flow.
The explicit crustal transfer function for SH‐waves by ray theory — the case of one and two layers

Summary. Previous theoretical studies on the transfer function of crustal plane surface layers have been primarily based on applying recursion formulae to the solutions of wave equations. In this way the detailed physical insight of the transfer function is often obscure and it is very difficult to express the transfer function in an explicit form. To show that this situation can be improved by an alternative approach, we demonstrate in this paper with models of one and two surface layers that the explicit transfer function can be derived by summing multiple-reflected rays between interfaces. Since the derived transfer function is related explicitly to some physical parameters, such as wave travel times between interfaces, reflection and transmission coefficients at the interfaces, and attenuation and dispersion of waves in each layer of the model, it is more flexible than the traditional recursion form when applied to different models. This suggests that the ray theory can play an important role in problems of layered media.
The Fear of War Scale (FOWARS): Development and Initial Validation

The emergence of the Ukraine-Russia war in 2022 led to fear, worry and anxiety among individuals, mostly in the immediate neighboring countries of Ukraine. The purpose of the present study was to develop the fear of war scale (FOWARS), aiming to fill the gap in the literature that currently is scarce in valid assessment tools for measuring the fear of war. The sample of the study consisted of N = 1131 participants (n = 670 for group A, for EFA and n = 461 for group B, for CFA). Hungarian speaking participants, mainly from Romania and Hungary. Exploratory factor analysis (EFA) evinced a two-factor model of the newly developed scale, and the final version fulfilled the criteria of the confirmatory factor analysis (CFA). The 13-items FOWARS has robust psychometric properties and proves to be appropriate for a fear of war assessment in the general population. The phenomenon is measured by two factors, namely experiential and physiological dimensions of fear. The scale is available in the present paper in two languages: English and Hungarian.
The Economics of the Mutual Fund Trading Scandal

I examine the economic incentives behind the mutual fund trading scandal, which made headlines in late 2003 with news that several asset management companies had arranged to allow abusive--and, in some cases, illegal--trades in their mutual funds. Most of the gains from these trades went to the traders who pursued market-timing and late-trading strategies. The costs were largely borne by buy-and-hold investors, and, eventually, by the management companies themselves. ; A puzzle emerges when one examines the scandal from the perspective of those management companies. In the short run, they collected additional fee revenue from arrangements allowing abusive trades. When those deals were revealed, investors redeemed shares en masse and revenues plummeted; management companies clearly made poor decisions, ex post. However, my analysis indicates that those arrangements were also uneconomic, ex ante, because--even if the management companies had expected never to be caught--estimated revenue from the deals fell well short of the present value of expected lost revenues due to poor performance in abused funds. ; Why some of the mutual fund industry's largest firms chose to collude with abusive traders remains something of a mystery. I explore several possible explanations, including owner-manager conflicts of interest within management companies (between their shareholders and the executives who benefitted from short-term asset growth), but none fully resolves the puzzle. Management companies' decisions to allow abuses that harmed themselves as well as mutual fund shareholders convey a broader lesson, that shareholders, customers, and fiduciary clients be cautious about relying too heavily on firms' own self-interest to govern their behavior.
ERROR CORRECTION AND LONG-RUN EQUILIBRIUM IN CONTINUOUS TIME

This paper deals with error correction models (ECM's) and cointegrated systems that are formulated in continuous time. Long-run equilibrium coefficients in the continuous system are always identified in the discrete time reduced form, so that there is no aliasing problem for these parameters. The long-run relationships are also preserved under quite general data filtering. Frequency domain procedures are outlined for estimation and inference. These methods are asymptotically optimal under Gaussian assumptions and they have the advantages of simplicity of computation and generality of specification, thereby avoiding some methodological problems of dynamic specification. In addition, they facilitate the treatment of data irregularities such as mixed stock and flow data and temporally aggregated partial equilibrium formulations. Models with restricted cointegrating matrices are also considered.
The Role of Stabilizing Copolymer in Determining the Physicochemical Properties of Conjugated Polymer Nanoparticles and Their Nanomedical Applications

Conjugated polymer nanoparticles (CPNs) are a promising class of nanomaterials for biomedical applications, such as bioimaging, gene and drug delivery/release, photodynamic therapy (PDT), photothermal therapy (PTT), and environmental sensing. Over the past decade, many reports have been published detailing their synthesis and their various potential applications, including some very comprehensive reviews of these topics. In contrast, there is a distinct lack of overview of the role the stabilizing copolymer shells have on the properties of CPNs. This review attempts to correct this oversight by scrutinizing reports detailing the synthesis and application of CPNs stabilized with some commonly-used copolymers, namely F127 (Pluronic poly(ethylene glycol)-block-poly(propylene glycol)-block-poly(ethylene glycol) diacrylate), PSMA (poly(styrene-co-maleic anhydride)), PLGA (poly(D, L-lactide-co-glycolide)) and PEG (polyethylene glycol) derivatives. The analysis of the reported physicochemical properties and biological applications of these CPNs provides insights into the advantages of each group of copolymers for specific applications and offers a set of guidance criteria for the selection of an appropriate copolymer when designing CPNs-based probes. Finally, the challenges and outlooks in the field are highlighted.
Molecular Heterogeneity in Large-Scale Biological Data: Techniques and Applications

High-throughput sequencing technologies have evolved at a stellar pace for almost a decade and have greatly advanced our understanding of genome biology. In these sampling-based technologies, there is an important detail that is often overlooked in the analysis of the data and the design of the experiments, specifically that the sampled observations often do not give a representative picture of the underlying population. This has long been recognized as a problem in statistical ecology and in the broader statistics literature. In this review, we discuss the connections between these fields, methodological advances that parallel both the needs and opportunities of large-scale data analysis, and specific applications in modern biology. In the process we describe unique aspects of applying these approaches to sequencing technologies, including sequencing error, population and individual heterogeneity, and the design of experiments.
Finnish Police Supervisors’ Conceptions of Workplace Learning and Its Sustainability

Workplace learning (WPL) is a complex phenomenon involving the intertwined processes of working and learning. Recent studies have shown the importance of sustainable perspectives in WPL situations. In the literature, sustainable development is still predominantly referred to environmental, economic and social sustainability. In this study, sustainable perspectives denote the widespread use of previous knowledge, the rapid application of new knowledge and the effects of this knowledge on well-being, thus leaning on human sustainability. The purpose of this study is to examine conceptions of WPL among Finnish police supervisors and to reveal whether sustainable learning perspectives manifest. Eight thematic interviews were analysed using phenomenographic and theory-driven content analyses. The analysis produced six main categories of WPL, and sustainable learning perspectives manifested in all categories. This study confirms previous findings regarding WPL and presents similarities in sustainable learning perspectives to those found in previous research. Learning outcomes can be improved by understanding WPL conceptions and sustainable learning perspectives; thus, the findings of this study can help organisations, supervisors and human resources better plan and implement sustainable WPL possibilities for employees and their careers.