Miracle-dz/UniFAR-FTUs huggingface dataset:
Sex‐specific bone and muscular morphological features in ischiofemoral impingement: A three‐dimensional study

The study aimed to investigate how hip bone and muscular morphology features differ between ischiofemoral impingement (IFI) patients and healthy subjects among males and females. Three‐dimensional models were reconstructed based on magnetic resonance imaging images from IFI patients and healthy subjects of different sexes. Bone morphological parameters and the cross‐sectional area of the hip abductors were measured. The diameter and angle of the pelvis were compared between patients and healthy subjects. Bone parameters of the hip and cross‐sectional area of the hip abductors were compared between affected and healthy hips. The comparison results of some parameters were significant for females but not males. For females, the comparison results of pelvis parameters showed that the anteroposterior diameter of the pelvic inlet (p = 0.001) and intertuberous distance (p < 0.001) were both larger in IFI patients than in healthy subjects. Additionally, the comparison results of hip parameters showed that the neck shaft angle (p < 0.001) and the cross‐sectional area of the gluteus medius (p < 0.001) and gluteus minimus (p = 0.005) were smaller, while the cross‐sectional area of the tensor fasciae latae (p < 0.001) was significantly larger in affected hips. Morphological changes in IFI patients demonstrated sexual dimorphism, including bone and muscular morphology. Differences in the anteroposterior diameter of the pelvic inlet, intertuberous distance, neck shaft angle, gluteus medius, and gluteus minimus may explain why females are more susceptible to IFI.
CANCELLING COMPLEX POINTS IN CODIMENSION TWO

A generically embedded real submanifold of codimension two in a complex manifold has isolated complex points that can be classified as either elliptic or hyperbolic. In this paper we show that a pair of elliptic and hyperbolic complex point of the same sign can be canceled by a C^0 small isotopy of embeddings. 10.1017/S0004972712000652
Linear Thermal Expansion of SrTiO3

The linear thermal expansion of SrTiO3 in the temperature range 10 to 150 K is measured with a relative accuracy of 5 × 10−7 by using a three-terminal capacitance dilatometer. The dilation δL/L of a single-domain crystal is converted to the ratio of the pseudo-cubic cell constants a(T)/a(Ta) by the equation a(T)/a(Ta) = (1 + (δL/L) T}/{1 + (δL/L)Ta}, where L is the specimen length, Ta is the cubic-to-tetragonal transition temperature and T ≦ T,. The present a(T)/a(Ta) curve shows a coincidence with the temperature dependence of cos φ between 40 and 108 K, and reveals a clear difference with it below 40 K, where. φ is the rotation angle of the TiO6 octahedra around the [001] axis. The temperature at which the dilation shows a minimum, 37.5 K, is very close to the transition point Tc = (32 ± 5) K predicted by Cowley. Es wird die lineare thermische Ausdehnung von SrTiO3 im Temperaturbereich zwischen 10 und 150 K mit einer relativen Genauigkeit von 5 × 10−7 mittels eines Dreipunkt-Kapazitanzdilatometers gemessen. Die Ausdehnung δL/L eines Eindomanenkristalls wird durch die Gleichung a(T)/a(Ta) = (1 + (δL/L)L}/{l + (δL/L)Ta} mit dem Verhaltnis der pseudokubischen Zellen-konstante a(T)/u(Ta) verknupft, wo L die Probenlange, Ta die Ubergangstemperatur kubisch tetragonal ist und T ≦ Ta. Die vorgelegte a(T)/a(Ta)-Kurve zeigt Ubereinatimmung mit der Temperaturabhangigkeit von cos φ zwischen 40 und 108 K und eine deutliche Differenz unterhalb 40 K, wobei φ der Drehungswinkel der TiO6-Oktaeder um die [001]-Achse ist. Die Temperatur bei der die Ausdehnung ein Minimum zeigt, 37,5 K, liegt sehr dicht am Ubergangspunkt Tc = (32 ± 5 K), der von Cowley vorhergesagt wird.
Nonlinear Gains Recursive Sliding Mode Dynamic Surface Control with Integral Action

In this paper, by introducing a function with nonlinear gains and developing sliding surfaces with integral action in the dynamic surface control (DSC) recursive procedure, a novel DSC strategy is proposed. The drawbacks of conventional DSC methods, such as being sensitive to the design constant of the first order low‐pass filter and being unable to achieve zero steady‐state error for step reference signal, are overcome. Moreover, improvement of transient performance and reduction of control effort can be obtained. The stability analysis shows that the proposed new approach can guarantee semi‐global uniform ultimate boundedness (SGUUB) of all closed‐loop signals and that the ultimate tracking error bound in regulation can be made arbitrarily small.
Eggshell Membrane as a Biomaterial for Bone Regeneration

The physicochemical features of the avian eggshell membrane play an essential role in the process of calcium carbonate deposition during shell mineralization, giving rise to a porous mineralized tissue with remarkable mechanical properties and biological functions. The membrane could be useful by itself or as a bi-dimensional scaffold to build future bone-regenerative materials. This review focuses on the biological, physical, and mechanical properties of the eggshell membrane that could be useful for that purpose. Due to its low cost and wide availability as a waste byproduct of the egg processing industry, repurposing the eggshell membrane for bone bio-material manufacturing fulfills the principles of a circular economy. In addition, eggshell membrane particles have has the potential to be used as bio-ink for 3D printing of tailored implantable scaffolds. Herein, a literature review was conducted to ascertain the degree to which the properties of the eggshell membrane satisfy the requirements for the development of bone scaffolds. In principle, it is biocompatible and non-cytotoxic, and induces proliferation and differentiation of different cell types. Moreover, when implanted in animal models, it elicits a mild inflammatory response and displays characteristics of stability and biodegradability. Furthermore, the eggshell membrane possesses a mechanical viscoelastic behavior comparable to other collagen-based systems. Overall, the biological, physical, and mechanical features of the eggshell membrane, which can be further tuned and improved, make this natural polymer suitable as a basic component for developing new bone graft materials.
Whither digital agriculture in India?

ABSTRACT Agriculture is central to the Indian economy and suffers from widespread operational inefficiencies that could be corrected by the use of digital agriculture technologies (DA). We review and synthesise available literature concerning digital agriculture in India and anticipate its transformative potential in the coming decade. Although the initial growth of DA was more conspicuous in the downstream sectors and high-value crops, reaching smallholder farmers upstream is slowly emerging despite significant obstacles such as small fragmented holdings, inadequate data infrastructure and public policy, and unequal access to digital infrastructure. Agri-tech enables innovation at many locations within value chains, and a steady shift is occurring in change from individual farms to the whole value chain. Technology in the sector is progressing from information and communication technology-based solutions to Internet of Things and artificial intelligence–machine learning-enabled services. India’s public policy shows signs of a longstanding investment and collaboration in the sector, with an explicit focus on data infrastructure development. We find smallholder predominance, diversity in production systems, the predominance of commodity crops, proximity to urban markets, and public policy as the major factors of DA’s success in India. A stocktake of the available technologies and their applications by the public sector, tech giants, information technology leaders and agri-food tech startups in India strongly indicates a digital transformation of Indian agriculture. However, given the federal structure of governance and agriculture being a state (province) subject, we need to wait to see how DA policies are rolled out and taken up across the country.
Outlier Elimination for Monocular Object SLAM Based on Spatiotemporal Consistency Constraints

Object-level simultaneous localization and mapping (SLAM) is critical for mobile robot localization and navigation. Wrong observations due to monocular camera noise and object detection errors affect accurate object perception. Most of the existing work adopts simple artificial rules to prevent the construction of object outliers. These strategies are difficult to universalize to different challenging scenarios. Eliminating object outliers remains a challenge for object SLAM. In this article, we propose a spatiotemporal consistency model for removing object outliers. Our approach takes only a low-cost monocular camera as the image sensor of the system. We use the graph model to construct spatial consistency as a means to constrain the semantic spatial relationships among multiple objects. Only the objects that satisfy the spatial consistency constraints are constructed. In addition, outliers are detected based on the regularity of object measurements that appear on the time axis. We eliminate the objects with observations in consecutive frames that do not satisfy the temporal consistency constraint. Finally, we couple normal objects to SLAM for pose optimization to improve camera localization accuracy. Experiments on public datasets and a real scenario demonstrate the performance of the proposed approach.
Security of Wide-Area Monitoring, Protection, and Control (WAMPAC) Systems of the Smart Grid: A Survey on Challenges and Opportunities

The evolution of power generation systems, along with their related increase in complexity, led to the critical necessity of Wide-Area Monitoring, Protection, and Control (WAMPAC) systems in today’s smart grid. Recent developments in smart measurement devices coupled with data communication technologies allow for significant improvements in power systems’ reliability, efficiency, and security. These technological advancements make WAMPAC systems of significant practical interest. However, the geographically distributed nature of such systems increases the potential attack surface and the risk of critical vulnerabilities. Thus, it is of paramount importance to identify the related threats and vulnerabilities as well as the prominent solutions relevant to WAMPAC systems. Consequently, this paper aims to provide a comprehensive review of WAMPAC security aspects along with the state-of-the-art research initiatives addressing such aspects. Specifically, this paper provides critical taxonomies of the cyber-security scope of WAMPAC that guide the accompanying survey of the recent studies on the WAMPAC security domain. As such, this article aims to pave the way for prospective researchers to pursue further studies in areas that require in-depth investigation into the security, reliability, and efficiency of WAMPAC as the backbone of smart grids.
Determinants of fish farmers’ awareness of insect-based aquafeeds in Kenya; the case of black soldier fly larvae meal

Abstract It is evident from scientific studies that black soldier fly larvae can replace the widely used fishmeal, which is costly and unsustainable for smallholder farmers, in aquafeeds. The purpose of this study was to evaluate the factors t influencing fish farmers’ awareness of use of black soldier fly larvae meal as an ingredient in fish feeds. The effect of farmers’ socioeconomic status and aquaculture practices on their awarenessabout black soldier fly larvae based aquafeeds was examined using a binary logit regression model. The regression analysis results revealed that fish farming experience (β = 0.327; p = 0.001), distance to feed sources (β = 0.009; p = 0.034), farmers’ income (β = −0.505; p = 0.008) and knowledge about the components of existing feed (β = 2.667; p = 0.004) significantly influenced the farmers’ awareness about black soldier fly larvae meal. The results suggest that communication and farmer education are key in improving the farmers’ awareness about novel fish feed ingredients. Therefore, there is need for both public and private institutions to improve awareness creation through local print and electronic media to enhance fish farmers’ awareness of insect-based aquafeeds.
Nitrogen-Fixing Symbiotic Paraburkholderia Species: Current Knowledge and Future Perspectives

A century after the discovery of rhizobia, the first Beta-proteobacteria species (beta-rhizobia) were isolated from legume nodules in South Africa and South America. Since then, numerous species belonging to the Burkholderiaceae family have been isolated. The presence of a highly branching lineage of nodulation genes in beta-rhizobia suggests a long symbiotic history. In this review, we focus on the beta-rhizobial genus Paraburkholderia, which includes two main groups: the South American mimosoid-nodulating Paraburkholderia and the South African predominantly papilionoid-nodulating Paraburkholderia. Here, we discuss the latest knowledge on Paraburkholderia nitrogen-fixing symbionts in each step of the symbiosis, from their survival in the soil, through the first contact with the legumes until the formation of an efficient nitrogen-fixing symbiosis in root nodules. Special attention is given to the strain P. phymatum STM815T that exhibits extraordinary features, such as the ability to: (i) enter into symbiosis with more than 50 legume species, including the agriculturally important common bean, (ii) outcompete other rhizobial species for nodulation of several legumes, and (iii) endure stressful soil conditions (e.g., high salt concentration and low pH) and high temperatures.
The controlling nutritional status score and risk factors associated with malnutrition in patients with acute ischemic stroke

Objectives Malnutrition is an independent risk factor for poor outcomes in patients who suffered an acute ischemic stroke (AIS). The controlling nutritional status (CONUT) score can provide information for nutritional management in AIS patients. However, the risk factors associated with the CONUT score have not been established to date. Therefore, in this study, we aimed to investigate the CONUT score of patients with AIS and explore the potential risk factors associated with it. Methods We conducted a retrospective review of the data from consecutive AIS patients who were recruited in the CIRCLE study. Within 2 days of admission, we gathered the CONUT score, the Nutritional Risk Screening 2002, the Modified Rankin Scale, the National Institutes of Health Neurological Deficit Score (NIHSS), and demographic data from medical records. We used chi-squared tests to examine admission, and a logistic regression analysis was performed to explore the risk factors associated with CONUT in patients with AIS. Results A total of 231 patients with AIS participated in the study, with a mean age of 62.32 ± 13.0 years and a mean NIHSS of 6.77 ± 3.8. Of these patients, 41(17.7%) had hyperlipidemia. In terms of nutritional assessment, 137(59.3%) patients with AIS had high CONUT scores, 86(37.2%) patients with AIS had low or high BMI, and 117(50.6%) patients with AIS had NRS-2002 scores below 3. The chi-squared tests showed that age, NIHSS, body mass index (BMI), and hyperlipidemia were associated with the CONUT score (P < 0.05). The logistic regression analysis showed that low NIHSS scores (OR = 0.055 95% CI: 0.003–0.893), younger age (OR = 0.159 95% CI: 0.054–0.469), and hyperlipidemia (OR = 0.303 95% CI: 0.141–0.648) were independently associated with lower CONUT scores (P < 0.05), whereas BMI was not found to be independently associated with the CONUT. Conclusions More than half of the patients with AIS were at risk of malnutrition, with age and neurological deficits being identified as risk factors for nutritional control. Hyperlipidemia was found to be a protective factor of the CONUT, while NRS-2002 and BMI did not affect the nutritional control in patients with AIS.
Organic Anion Transporting Polypeptide 3A1 (OATP3A1)-Gated Bio-Orthogonal Labeling of Intracellular Proteins

Organic anion transporting polypeptides (OATPs) were found to readily deliver membrane impermeable, tetrazine bearing fluorescent probes into cells. This feature was explored in OATP3A1 conditioned bio-orthogonal labeling schemes of various intracellular proteins in live cells. Confocal microscopy and super-resolution microscopy (STED) studies have shown that highly specific and efficient staining of the selected intracellular proteins can be achieved with the otherwise non-permeable probes when OATP3A1 is present in the cell membrane of cells. Such a transport protein linked bio-orthogonal labeling scheme is believed to be useful in OATP3A1 activity-controlled protein expression studies in the future.
Mobile payment use and payment satisfaction: mediation and moderation analyses

PurposeWith the development of financial technology (FinTech), this paper aims to investigate the association between mobile payment use and payment satisfaction using data from the 2017 China Household Finance Survey (CHFS). Design/methodology/approachThis study uses ordered probit regressions to examine the association between mobile payments and payment satisfaction because the dependent variable is ordinal. To alleviate endogeneity problems, this study uses instrument variables and Heckman's two-step estimation. Furthermore, to explore the potential mediators in this process, this study follows the three steps suggested by Baron and Kenny (1986). Finally, this study divides the whole sample into subsamples to examine whether the association between mobile payments and payment satisfaction differs in diverse groups.FindingsThe results indicate that mobile payment use is positively associated with payment satisfaction. Moreover, mediation analyses imply that mobile payment use may help increase consumers' credit availability, which eventually improves payment satisfaction. Three moderators of this association are financial literacy, expenditure level and portfolio diversification, which enhance the positive association between mobile payment use and payment satisfaction.Originality/valueThis study explores the potential mediators between mobile payment use and payment satisfaction, which is beneficial to comprehensively understanding various pathways of this process. Moreover, this study conducts heterogeneous analyses to investigate whether associations between mobile payments and payment satisfaction are moderated by various factors, which will allow policymakers to formulate policies appropriate for specific situations of diverse consumer groups.
Three-dimensional surface current loops in broadband responsive negative refractive metamaterial with isotropy

We propose a bulk negative refractive index (NRI) metamaterial composed of periodic array of tightly coupled metallic cross-pairs printed on the six sides of a cube for applications of superlenses. The structural characteristics of the three-dimensional (3D) metamaterial consist in the high symmetry and the superposition of metallic cross-pairs, which can increase the magnetic inductive coupling between adjacent cross-pairs and realize a broadband and isotropic NRI. The proposed 3D structure is simulated using the CST Microwave Studio 2006 to verify the design validity. The simulation results show that the proposed structure can not only realize simultaneously an electric and magnetic response to an incident electromagnetic (EM) wave, but also exhibit a broadband NRI whose relative bandwidth can reach up to 56.7%. In addition, the NRI band is insensitive to the polarization and the incident angle of the incident EM wave. Therefore, the proposed metamaterial is a good candidate material as three-dimensional broadband isotropic NRI metamaterial.
A Sequential-Multi-Decision Scheme for WiFi Localization Using Vision-Based Refinement

Currently, most mobile devices have WIFI and camera modules to locate their position. However, there are two main challenges in large, highly similar indoor environments (localization accuracy and localization time). Aiming to balance these problems, we propose a sequential-multi-decision integrated system that combines WIFI and vision to acquire users’ locations. This system has two phases: sequential fusion localization and adaptive multi-decision fusion localization. The former employs WIFI-based localization first, then image-based localization and fusion localization are used within the constraints of WIFI-based localization. In the WIFI-based localization phase, the gaussian process regression (GPR) model is used to construct a WIFI indoor map. Subsequently, we propose to apply the hybrid whale optimization algorithm (HWOA) to WIFI-based localization to improve its accuracy and stability. The latter uses an adaptive multi-decision fusion mechanism that integrates WIFI-based localization, image-based localization, and fusion localization to obtain the users’ location finally. The experiments show the effectiveness of HWOA applied to WIFI-based localization. We also experimentally evaluate the proposed fusion algorithm with other state-of-the-art fusion algorithms (e.g., accuracy and time) in a real environment (an area larger than 10,000<inline-formula><tex-math notation="LaTeX">$m^{2}$</tex-math><alternatives><mml:math><mml:msup><mml:mi>m</mml:mi><mml:mn>2</mml:mn></mml:msup></mml:math><inline-graphic xlink:href="tang-ieq1-3253893.gif"/></alternatives></inline-formula>). The experimental results show that the proposed fusion system is competitive.
Natriuretic Peptides: It Is Time for Guided Therapeutic Strategies Based on Their Molecular Mechanisms

Natriuretic peptides (NPs) are the principal expression products of the endocrine function of the heart. They exert several beneficial effects, mostly mediated through guanylate cyclase-A coupled receptors, including natriuresis, diuresis, vasorelaxation, blood volume and blood pressure reduction, and regulation of electrolyte homeostasis. As a result of their biological functions, NPs counterbalance neurohormonal dysregulation in heart failure and other cardiovascular diseases. NPs have been also validated as diagnostic and prognostic biomarkers in cardiovascular diseases such as atrial fibrillation, coronary artery disease, and valvular heart disease, as well as in the presence of left ventricular hypertrophy and severe cardiac remodeling. Serial measurements of their levels may be used to contribute to more accurate risk stratification by identifying patients who are more likely to experience death from cardiovascular causes, heart failure, and cardiac hospitalizations and to guide tailored pharmacological and non-pharmacological strategies with the aim to improve clinical outcomes. On these premises, multiple therapeutic strategies based on the biological properties of NPs have been attempted to develop new targeted cardiovascular therapies. Apart from the introduction of the class of angiotensin receptor/neprilysin inhibitors to the current management of heart failure, novel promising molecules including M-atrial natriuretic peptide (a novel atrial NP-based compound) have been tested for the treatment of human hypertension with promising results. Moreover, different therapeutic strategies based on the molecular mechanisms involved in NP regulation and function are under development for the management of heart failure, hypertension, and other cardiovascular conditions.